From 04ec8abb4acce10ec2f5ad7bd9b5ef8c3c652717 Mon Sep 17 00:00:00 2001
From: maxibor <maxime_borry@eva.mpg.de>
Date: Thu, 19 Sep 2024 13:26:52 +0200
Subject: [PATCH] doc: pydamage mapdamage benchmark

---
 docs/source/rescaling.ipynb | 13070 +++++++++++++++++++++++++++++++++-
 1 file changed, 12782 insertions(+), 288 deletions(-)

diff --git a/docs/source/rescaling.ipynb b/docs/source/rescaling.ipynb
index e162a2f..02eff20 100644
--- a/docs/source/rescaling.ipynb
+++ b/docs/source/rescaling.ipynb
@@ -4,13 +4,36 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "# Rescaling"
+    "# 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": {},
+   "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",
@@ -21,309 +44,12661 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 40,
-   "metadata": {},
+   "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\n",
-      "1 contig(s) analyzed by Pydamage\n",
-      "Rescaling quality scores: 100%|███████████████| 230/230 [00:29<00:00,  7.68it/s]\n",
-      "Estimating and testing Damage\n",
-      "1 contig(s) analyzed by Pydamage\n",
-      "Rescaling quality scores: 100%|███████████████| 230/230 [00:31<00:00,  7.23it/s]\n",
-      "Estimating and testing Damage\n",
-      "1 contig(s) analyzed by Pydamage\n",
-      "Rescaling quality scores: 100%|███████████████| 230/230 [00:34<00:00,  6.76it/s]\n",
-      "Estimating and testing Damage\n",
-      "1 contig(s) analyzed by Pydamage\n",
-      "Rescaling quality scores: 100%|███████████████| 230/230 [00:31<00:00,  7.20it/s]\n",
-      "1min 45s ± 3.27 s per loop (mean ± std. dev. of 3 runs, 1 loop each)\n"
+      "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",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 23080it [00:00, 115564.42it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 34637it [00:00, 112379.51it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 46904it [00:00, 116370.15it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 58984it [00:00, 117947.02it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 70789it [00:00, 117511.17it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 82547it [00:00, 114832.58it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 94823it [00:00, 117300.05it/s]"
+     ]
+    },
+    {
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+     "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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+     "text": [
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+     ]
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+     ]
+    },
+    {
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+     "output_type": "stream",
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+      "\r\n",
+      "Compute damage for entire reference: 203456it [00:01, 121257.10it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
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+     "text": [
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+      "Compute damage for entire reference: 215601it [00:01, 119441.86it/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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+     "name": "stdout",
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+     "text": [
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+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
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+     ]
+    },
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+     "name": "stdout",
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+     ]
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+    {
+     "name": "stdout",
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+     "text": [
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+      "Compute damage for entire reference: 733355it [00:05, 123766.40it/s]"
+     ]
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+    {
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+     ]
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+      "Compute damage for entire reference: 872029it [00:07, 125271.78it/s]"
+     ]
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+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
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+      "Compute damage for entire reference: 884680it [00:07, 125640.30it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 897296it [00:07, 125794.44it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 909876it [00:07, 125460.91it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
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+      "\r\n",
+      "Compute damage for entire reference: 922423it [00:07, 125282.48it/s]"
+     ]
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+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 934952it [00:07, 123208.34it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
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+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 947281it [00:07, 121741.66it/s]"
+     ]
+    },
+    {
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+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 959571it [00:07, 122081.75it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 972035it [00:07, 122837.63it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 984724it [00:08, 124040.69it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 997226it [00:08, 124330.20it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 1009817it [00:08, 124800.58it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 1022419it [00:08, 125162.54it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 1035105it [00:08, 125669.54it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 1047834it [00:08, 126153.79it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 1060530it [00:08, 126390.91it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 1073170it [00:08, 126330.20it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 1085804it [00:08, 126118.94it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 1098456it [00:08, 126234.75it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 1111080it [00:09, 126183.54it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 1123841it [00:09, 126608.11it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 1136503it [00:09, 126400.51it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 1149144it [00:09, 125867.24it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 1161732it [00:09, 123785.52it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "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",
+      "Compute damage for entire reference: 1401102it [00:11, 134885.71it/s]"
+     ]
+    },
+    {
+     "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",
+      "Compute damage for entire reference: 1608492it [00:12, 138963.38it/s]"
+     ]
+    },
+    {
+     "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",
+      "Compute damage for entire reference: 1636399it [00:13, 139230.90it/s]"
+     ]
+    },
+    {
+     "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": [
+      "\r\n",
+      "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": [
+      "\r\n",
+      "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": [
+      "\r\n",
+      "Compute damage for entire reference: 2303213it [00:18, 126238.38it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 2315838it [00:18, 126213.69it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "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": [
+      "\r\n",
+      "Compute damage for entire reference: 2366512it [00:18, 126445.84it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "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": [
+      "\r\n",
+      "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]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 2583339it [00:20, 126850.89it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 2596025it [00:20, 126587.14it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 2608762it [00:20, 126816.95it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 2621593it [00:20, 127260.39it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 2634402it [00:20, 127505.96it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 2647205it [00:21, 127660.40it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 2659972it [00:21, 127524.04it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 2672725it [00:21, 127480.51it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 2685498it [00:21, 127553.40it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 2698291it [00:21, 127662.86it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 2711058it [00:21, 127277.72it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 2723787it [00:21, 127071.56it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 2736495it [00:21, 126321.35it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 2749129it [00:21, 126114.04it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 2761762it [00:21, 126174.20it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 2774380it [00:22, 125968.29it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 2786978it [00:22, 125865.74it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 2799565it [00:22, 125829.01it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 2812149it [00:22, 125725.60it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 2824722it [00:22, 125517.64it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 2837328it [00:22, 125675.98it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 2849896it [00:22, 125367.22it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 2862433it [00:22, 125266.80it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 2874960it [00:22, 125027.90it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 2887525it [00:22, 125210.38it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 2900312it [00:23, 126004.39it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 2912913it [00:23, 125873.71it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 2925501it [00:23, 124646.72it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 2938029it [00:23, 124831.64it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 2950622it [00:23, 125156.09it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 2963140it [00:23, 124270.40it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 2975570it [00:23, 122706.25it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 2987846it [00:23, 121852.06it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 3000035it [00:23, 121230.19it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 3012161it [00:23, 120493.26it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 3024212it [00:24, 118144.34it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 3036035it [00:24, 117696.71it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 3047850it [00:24, 117826.94it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 3059664it [00:24, 117915.94it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 3071459it [00:24, 117629.39it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 3083261it [00:24, 117741.35it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 3095155it [00:24, 118096.54it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 3106966it [00:24, 116752.75it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 3118725it [00:24, 116999.80it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 3130489it [00:24, 117187.33it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 3142374it [00:25, 117681.03it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 3154144it [00:25, 117493.76it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 3165982it [00:25, 117755.71it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 3177759it [00:25, 117397.92it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 3189549it [00:25, 117546.54it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 3194672it [00:25, 125123.77it/s]\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<02:29,  1.53it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:   1%|▏                | 3/230 [00:00<00:59,  3.81it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:   3%|▍                | 6/230 [00:01<00:27,  8.19it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:   6%|▉               | 13/230 [00:01<00:11, 19.32it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:   8%|█▎              | 19/230 [00:02<00:20, 10.16it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:  14%|██▏             | 32/230 [00:02<00:13, 14.61it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:  15%|██▍             | 35/230 [00:03<00:18, 10.65it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:  17%|██▋             | 38/230 [00:04<00:22,  8.49it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:  17%|██▊             | 40/230 [00:05<00:37,  5.13it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:  18%|██▊             | 41/230 [00:06<00:57,  3.31it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:  19%|███             | 44/230 [00:06<00:41,  4.45it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:  20%|███▏            | 46/230 [00:06<00:36,  5.05it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:  21%|███▍            | 49/230 [00:07<00:29,  6.14it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:  23%|███▌            | 52/230 [00:07<00:28,  6.18it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:  23%|███▊            | 54/230 [00:07<00:26,  6.62it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:  25%|████            | 58/230 [00:07<00:17,  9.60it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:  29%|████▌           | 66/230 [00:08<00:09, 16.60it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:  30%|████▊           | 70/230 [00:08<00:08, 19.35it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:  32%|█████           | 73/230 [00:08<00:10, 15.27it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:  33%|█████▎          | 76/230 [00:09<00:12, 11.91it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:  35%|█████▌          | 80/230 [00:09<00:10, 14.52it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:  40%|██████▍         | 93/230 [00:09<00:04, 30.74it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:  43%|██████▉         | 99/230 [00:09<00:06, 20.53it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:  45%|██████▋        | 103/230 [00:10<00:06, 19.92it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:  47%|██████▉        | 107/230 [00:10<00:10, 11.18it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:  49%|███████▎       | 113/230 [00:11<00:08, 13.60it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:  50%|███████▌       | 116/230 [00:11<00:09, 11.60it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:  52%|███████▊       | 120/230 [00:11<00:07, 14.24it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:  54%|████████▏      | 125/230 [00:12<00:08, 12.08it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:  56%|████████▎      | 128/230 [00:12<00:08, 11.61it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:  57%|████████▍      | 130/230 [00:13<00:11,  9.02it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:  57%|████████▌      | 132/230 [00:13<00:09,  9.89it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:  58%|████████▋      | 134/230 [00:13<00:11,  8.47it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:  59%|████████▊      | 136/230 [00:13<00:11,  8.53it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:  61%|█████████▏     | 141/230 [00:14<00:08, 10.17it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:  65%|█████████▋     | 149/230 [00:14<00:04, 17.52it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:  67%|█████████▉     | 153/230 [00:15<00:09,  7.72it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:  70%|██████████▌    | 162/230 [00:15<00:05, 12.68it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:  73%|██████████▉    | 167/230 [00:16<00:05, 11.53it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:  76%|███████████▍   | 175/230 [00:16<00:04, 12.31it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:  81%|████████████▏  | 186/230 [00:17<00:02, 16.31it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:  82%|████████████▎  | 189/230 [00:17<00:03, 11.80it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:  83%|████████████▍  | 191/230 [00:18<00:05,  7.36it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:  86%|████████████▊  | 197/230 [00:19<00:03,  8.80it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:  87%|████████████▉  | 199/230 [00:19<00:03,  7.86it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:  87%|█████████████  | 201/230 [00:19<00:03,  8.62it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:  91%|█████████████▋ | 210/230 [00:20<00:01, 10.59it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:  96%|██████████████▎| 220/230 [00:21<00:01,  9.54it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "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"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
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+      "Compute damage for entire reference: 0it [00:00, ?it/s]"
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+      "Compute damage for entire reference: 12492it [00:00, 124886.47it/s]"
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+     ]
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+      "Compute damage for entire reference: 37768it [00:00, 125985.40it/s]"
+     ]
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+      "Compute damage for entire reference: 50446it [00:00, 126293.54it/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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+      "Compute damage for entire reference: 190862it [00:01, 127255.15it/s]"
+     ]
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+      "Compute damage for entire reference: 203698it [00:01, 127583.17it/s]"
+     ]
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+     ]
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+      "Compute damage for entire reference: 318067it [00:02, 123484.61it/s]"
+     ]
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+      "Compute damage for entire reference: 367292it [00:02, 122638.25it/s]"
+     ]
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+      "Compute damage for entire reference: 379601it [00:03, 122770.73it/s]"
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+      "Compute damage for entire reference: 391879it [00:03, 122057.93it/s]"
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+      "Compute damage for entire reference: 416541it [00:03, 122763.25it/s]"
+     ]
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+      "Compute damage for entire reference: 428871it [00:03, 122920.65it/s]"
+     ]
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+      "Compute damage for entire reference: 441203it [00:03, 123038.78it/s]"
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+      "Compute damage for entire reference: 478492it [00:03, 123944.40it/s]"
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+      "Compute damage for entire reference: 541732it [00:04, 125384.31it/s]"
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+      "Compute damage for entire reference: 554271it [00:04, 125369.14it/s]"
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+      "Compute damage for entire reference: 566860it [00:04, 125521.31it/s]"
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+      "Compute damage for entire reference: 604868it [00:04, 126343.06it/s]"
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+      "Compute damage for entire reference: 617521it [00:04, 126396.80it/s]"
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+      "Compute damage for entire reference: 630161it [00:05, 126134.98it/s]"
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+      "Compute damage for entire reference: 642948it [00:05, 126652.48it/s]"
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+      "Compute damage for entire reference: 655644it [00:05, 126741.49it/s]"
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+      "Compute damage for entire reference: 668319it [00:05, 126739.82it/s]"
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+    {
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+      "Compute damage for entire reference: 680994it [00:05, 126652.20it/s]"
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+      "Compute damage for entire reference: 693689it [00:05, 126738.41it/s]"
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+    {
+     "name": "stdout",
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+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 706477it [00:05, 127076.43it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 719291it [00:05, 127393.74it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 732031it [00:05, 127077.10it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 744739it [00:05, 126578.88it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 757458it [00:06, 126758.96it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 770172it [00:06, 126870.53it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 783105it [00:06, 127604.70it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 795866it [00:06, 126583.09it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 808527it [00:06, 125628.75it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 821202it [00:06, 125958.06it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 834270it [00:06, 127361.74it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 847301it [00:06, 128239.14it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 860141it [00:06, 128284.16it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 872971it [00:06, 127659.90it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 885739it [00:07, 125734.40it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 898320it [00:07, 125539.13it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 910902it [00:07, 125621.15it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 923468it [00:07, 125456.83it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 936036it [00:07, 125521.06it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 948590it [00:07, 123460.19it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 961074it [00:07, 123866.05it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 973603it [00:07, 124285.31it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 986510it [00:07, 125707.84it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 999086it [00:07, 125541.12it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 1011858it [00:08, 126188.38it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 1024705it [00:08, 126868.41it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 1037547it [00:08, 127330.68it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 1050428it [00:08, 127772.06it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 1063334it [00:08, 128155.38it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 1076151it [00:08, 127375.56it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 1088891it [00:08, 127239.07it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 1101616it [00:08, 127061.19it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 1114393it [00:08, 127271.13it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 1127147it [00:08, 127349.15it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 1139883it [00:09, 126805.06it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 1152565it [00:09, 126538.41it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 1165266it [00:09, 126676.21it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 1177935it [00:09, 126227.79it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 1190599it [00:09, 126346.76it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 1203235it [00:09, 126171.77it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 1215853it [00:09, 126139.20it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 1228702it [00:09, 126838.25it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 1241387it [00:09, 126748.78it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 1254063it [00:09, 126032.38it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 1266668it [00:10, 125737.43it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 1279379it [00:10, 126144.80it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 1292030it [00:10, 126252.82it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "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",
+      "Compute damage for entire reference: 2673477it [00:21, 127995.99it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 2686307it [00:21, 128081.98it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 2699138it [00:21, 128148.30it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 2711953it [00:21, 127648.88it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 2724755it [00:21, 127756.74it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 2737532it [00:21, 126893.19it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 2750235it [00:21, 126931.31it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 2762930it [00:21, 126932.41it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 2775624it [00:22, 126429.69it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 2788406it [00:22, 126843.49it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 2801092it [00:22, 126215.93it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 2813715it [00:22, 125239.83it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 2826280it [00:22, 125357.47it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 2838854it [00:22, 125466.50it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 2851402it [00:22, 123929.56it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 2863800it [00:22, 123534.14it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 2876157it [00:22, 123078.53it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 2888581it [00:22, 123421.55it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 2901437it [00:23, 124951.05it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 2914004it [00:23, 125164.09it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 2926756it [00:23, 125866.34it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 2939545it [00:23, 126470.35it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 2952194it [00:23, 126337.53it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 2965122it [00:23, 127215.83it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 2977914it [00:23, 127424.54it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 2990658it [00:23, 126786.36it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 3003338it [00:23, 126589.50it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 3016099it [00:23, 126891.55it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 3028831it [00:24, 127017.58it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 3041581it [00:24, 127158.69it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 3054463it [00:24, 127651.66it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 3067229it [00:24, 127621.28it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 3080073it [00:24, 127863.97it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 3092860it [00:24, 127801.23it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 3105641it [00:24, 126787.85it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 3118322it [00:24, 126550.70it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 3130979it [00:24, 126220.04it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 3143751it [00:24, 126664.92it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 3156419it [00:25, 126421.37it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 3169195it [00:25, 126818.49it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 3181878it [00:25, 126793.58it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 3194602it [00:25, 126924.43it/s]\r\n",
+      "Compute damage for entire reference: 3194672it [00:25, 126099.94it/s]\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<02:24,  1.58it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:   1%|▏                | 3/230 [00:00<00:52,  4.29it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:   3%|▌                | 7/230 [00:00<00:20, 10.76it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:   6%|▉               | 13/230 [00:01<00:10, 20.34it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:   8%|█▎              | 19/230 [00:01<00:08, 24.83it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:  14%|██▏             | 32/230 [00:02<00:13, 14.76it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:  15%|██▍             | 35/230 [00:03<00:20,  9.41it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:  17%|██▋             | 38/230 [00:05<00:45,  4.25it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:  17%|██▊             | 40/230 [00:07<01:03,  3.01it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:  18%|██▊             | 41/230 [00:08<01:23,  2.25it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:  20%|███▏            | 46/230 [00:09<00:50,  3.63it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:  22%|███▍            | 50/230 [00:09<00:35,  5.12it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:  23%|███▋            | 53/230 [00:09<00:30,  5.73it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:  24%|███▊            | 55/230 [00:09<00:27,  6.44it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:  29%|████▌           | 66/230 [00:09<00:11, 14.22it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:  31%|████▉           | 71/230 [00:10<00:11, 14.40it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:  33%|█████▏          | 75/230 [00:10<00:14, 10.86it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:  35%|█████▌          | 80/230 [00:10<00:10, 13.91it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:  42%|██████▋         | 96/230 [00:11<00:06, 22.23it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:  44%|██████▌        | 101/230 [00:11<00:05, 22.10it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:  46%|██████▊        | 105/230 [00:11<00:05, 21.46it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:  48%|███████▏       | 111/230 [00:11<00:04, 26.17it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:  50%|███████▌       | 115/230 [00:12<00:09, 11.71it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:  51%|███████▋       | 118/230 [00:13<00:08, 12.72it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:  53%|███████▉       | 122/230 [00:13<00:06, 15.44it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:  54%|████████▏      | 125/230 [00:13<00:10, 10.48it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:  56%|████████▎      | 128/230 [00:14<00:11,  8.88it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:  57%|████████▍      | 130/230 [00:15<00:19,  5.22it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:  57%|████████▌      | 132/230 [00:15<00:15,  6.16it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:  58%|████████▋      | 134/230 [00:15<00:15,  6.14it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:  59%|████████▊      | 136/230 [00:16<00:15,  6.05it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:  61%|█████████▏     | 141/230 [00:17<00:16,  5.32it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:  65%|█████████▋     | 149/230 [00:17<00:07, 10.16it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:  67%|█████████▉     | 153/230 [00:19<00:16,  4.66it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:  70%|██████████▌    | 162/230 [00:19<00:08,  8.29it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:  73%|██████████▉    | 167/230 [00:19<00:06,  9.00it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:  76%|███████████▍   | 175/230 [00:20<00:04, 11.65it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:  81%|████████████▏  | 186/230 [00:20<00:02, 15.29it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:  82%|████████████▎  | 189/230 [00:21<00:03, 11.28it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:  83%|████████████▌  | 192/230 [00:22<00:04,  8.53it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:  86%|████████████▊  | 197/230 [00:22<00:04,  7.97it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:  87%|████████████▉  | 199/230 [00:23<00:04,  7.41it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:  87%|█████████████  | 201/230 [00:23<00:03,  8.13it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:  91%|█████████████▋ | 210/230 [00:25<00:03,  6.27it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:  96%|██████████████▎| 220/230 [00:26<00:01,  6.89it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:  96%|██████████████▍| 221/230 [00:27<00:01,  5.52it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:  97%|██████████████▌| 223/230 [00:27<00:01,  6.03it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:  98%|██████████████▋| 225/230 [00:27<00:00,  6.83it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\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]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "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",
+      "Compute damage for entire reference: 165337it [00:01, 126666.26it/s]"
+     ]
+    },
+    {
+     "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",
+      "Compute damage for entire reference: 267535it [00:02, 127973.01it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 280333it [00:02, 127913.63it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 293125it [00:02, 127508.98it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 305877it [00:02, 127176.47it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 318596it [00:02, 127155.10it/s]"
+     ]
+    },
+    {
+     "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",
+      "Compute damage for entire reference: 344197it [00:02, 127581.91it/s]"
+     ]
+    },
+    {
+     "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",
+      "Compute damage for entire reference: 434013it [00:03, 128134.35it/s]"
+     ]
+    },
+    {
+     "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",
+      "Compute damage for entire reference: 472383it [00:03, 126720.16it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 485219it [00:03, 127205.91it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 498158it [00:03, 127854.96it/s]"
+     ]
+    },
+    {
+     "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": [
+      "\r\n",
+      "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": [
+      "\r\n",
+      "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": [
+      "\r\n",
+      "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": [
+      "\r\n",
+      "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": [
+      "\r\n",
+      "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": [
+      "\r\n",
+      "Compute damage for entire reference: 1212647it [00:09, 125944.58it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 1225437it [00:09, 126526.64it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 1238303it [00:09, 127163.46it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 1251020it [00:09, 126615.83it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 1263720it [00:09, 126727.52it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 1276394it [00:10, 126434.84it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 1289038it [00:10, 126324.86it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 1301734it [00:10, 126512.78it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 1314386it [00:10, 126411.22it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 1327028it [00:10, 126141.17it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 1339742it [00:10, 126438.16it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 1352387it [00:10, 126057.55it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "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": [
+      "\r\n",
+      "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": [
+      "\r\n",
+      "Compute damage for entire reference: 2844453it [00:22, 127034.02it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 2857157it [00:22, 126817.12it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 2869850it [00:22, 126848.66it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 2882536it [00:22, 126631.94it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 2895522it [00:22, 127595.80it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 2908458it [00:22, 128120.96it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 2921369it [00:23, 128415.10it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 2934242it [00:23, 128506.39it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 2947093it [00:23, 128262.37it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 2960000it [00:23, 128503.24it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
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+      "Compute damage for entire reference: 2972882it [00:23, 128596.44it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
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+      "Compute damage for entire reference: 2985742it [00:23, 128333.97it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 2998592it [00:23, 128382.16it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 3011474it [00:23, 128511.70it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
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+      "Compute damage for entire reference: 3024326it [00:23, 128452.64it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
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+      "Compute damage for entire reference: 3037172it [00:23, 128276.25it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 3050012it [00:24, 128310.05it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 3062844it [00:24, 128281.73it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 3075673it [00:24, 128214.43it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 3088568it [00:24, 128432.88it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 3101439it [00:24, 128511.21it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 3114291it [00:24, 127699.43it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 3127063it [00:24, 126939.76it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 3139847it [00:24, 127205.11it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 3152569it [00:24, 127181.99it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 3165800it [00:24, 128712.05it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 3178847it [00:25, 129235.26it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 3191772it [00:25, 129046.81it/s]\r\n",
+      "Compute damage for entire reference: 3194672it [00:25, 127102.91it/s]\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 [00:01<05:04,  1.33s/it]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:   1%|▏                | 3/230 [00:01<01:33,  2.43it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:   3%|▌                | 7/230 [00:01<00:33,  6.72it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:   6%|▉               | 13/230 [00:01<00:15, 14.04it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:   8%|█▎              | 19/230 [00:02<00:24,  8.52it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:  14%|██▏             | 32/230 [00:03<00:14, 13.81it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:  15%|██▍             | 35/230 [00:04<00:27,  7.21it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:  17%|██▋             | 38/230 [00:06<00:43,  4.45it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:  17%|██▊             | 40/230 [00:07<00:45,  4.17it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:  18%|██▊             | 41/230 [00:07<00:55,  3.39it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:  20%|███▏            | 46/230 [00:08<00:34,  5.36it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:  21%|███▍            | 49/230 [00:09<00:43,  4.15it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:  23%|███▌            | 52/230 [00:09<00:36,  4.89it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:  23%|███▊            | 54/230 [00:09<00:34,  5.04it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:  29%|████▌           | 66/230 [00:10<00:13, 12.52it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:  30%|████▊           | 70/230 [00:10<00:12, 12.99it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:  32%|█████           | 73/230 [00:10<00:13, 11.28it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:  33%|█████▎          | 76/230 [00:11<00:15, 10.05it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:  37%|█████▊          | 84/230 [00:11<00:08, 16.71it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:  42%|██████▋         | 96/230 [00:12<00:10, 12.43it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:  44%|██████▌        | 101/230 [00:13<00:15,  8.52it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:  46%|██████▊        | 105/230 [00:14<00:16,  7.62it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:  47%|██████▉        | 107/230 [00:14<00:14,  8.28it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:  49%|███████▎       | 113/230 [00:15<00:14,  7.92it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:  50%|███████▌       | 115/230 [00:15<00:15,  7.52it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:  51%|███████▋       | 118/230 [00:15<00:12,  9.12it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:  54%|████████       | 124/230 [00:15<00:07, 13.73it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:  55%|████████▎      | 127/230 [00:16<00:09, 10.49it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:  57%|████████▍      | 130/230 [00:16<00:11,  8.91it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:  58%|████████▋      | 134/230 [00:17<00:10,  9.51it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:  59%|████████▊      | 136/230 [00:17<00:09, 10.20it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:  61%|█████████▏     | 141/230 [00:17<00:06, 12.91it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:  65%|█████████▋     | 149/230 [00:17<00:03, 21.35it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:  67%|█████████▉     | 153/230 [00:18<00:06, 12.08it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:  71%|██████████▋    | 163/230 [00:18<00:03, 20.68it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:  73%|██████████▉    | 168/230 [00:18<00:03, 20.30it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:  76%|███████████▍   | 175/230 [00:19<00:04, 13.50it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:  81%|████████████▏  | 186/230 [00:20<00:02, 18.87it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:  83%|████████████▍  | 190/230 [00:20<00:02, 16.52it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:  84%|████████████▌  | 193/230 [00:21<00:03, 11.21it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:  86%|████████████▊  | 197/230 [00:21<00:02, 12.40it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:  87%|████████████▉  | 199/230 [00:22<00:03,  7.84it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:  87%|█████████████  | 201/230 [00:22<00:03,  8.67it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:  91%|█████████████▋ | 210/230 [00:22<00:01, 10.63it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:  93%|█████████████▉ | 213/230 [00:23<00:02,  7.32it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:  96%|██████████████▎| 220/230 [00:24<00:01,  7.90it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:  97%|██████████████▍| 222/230 [00:25<00:01,  6.33it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:  97%|██████████████▌| 223/230 [00:26<00:01,  3.85it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:  98%|██████████████▋| 225/230 [00:26<00:01,  4.62it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:  99%|██████████████▊| 227/230 [00:27<00:00,  4.85it/s]\r\n",
+      "Rescaling quality scores: 100%|███████████████| 230/230 [00:27<00:00,  8.50it/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]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 12578it [00:00, 125754.34it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 25193it [00:00, 125980.59it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 37990it [00:00, 126881.25it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 50679it [00:00, 126451.43it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 63325it [00:00, 125647.47it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 75967it [00:00, 125903.50it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 88559it [00:00, 125554.17it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 101336it [00:00, 126254.78it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 113963it [00:00, 126139.23it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 126648it [00:01, 126355.94it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 139284it [00:01, 126275.65it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 151912it [00:01, 125810.93it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 164550it [00:01, 125977.62it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 177237it [00:01, 126244.47it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 189898it [00:01, 126352.12it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 202593it [00:01, 126528.89it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 215278it [00:01, 126623.03it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 228063it [00:01, 126989.96it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "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": [
+      "\r\n",
+      "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",
+      "Compute damage for entire reference: 2991942it [00:23, 127072.07it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 3004650it [00:23, 126786.05it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 3017329it [00:24, 126647.73it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 3030322it [00:24, 127627.26it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 3043582it [00:24, 129112.79it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 3056763it [00:24, 129919.54it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 3069756it [00:24, 129078.34it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 3082666it [00:24, 128458.95it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 3095514it [00:24, 128096.18it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 3108325it [00:24, 127119.17it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 3121039it [00:24, 125987.77it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 3133641it [00:24, 125489.51it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 3146212it [00:25, 125553.55it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 3158848it [00:25, 125790.40it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Compute damage for entire reference: 3171592it [00:25, 126279.98it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\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"
+     ]
+    },
+    {
+     "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<02:32,  1.50it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:   1%|▏                | 3/230 [00:00<00:54,  4.19it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:   3%|▌                | 7/230 [00:00<00:20, 10.67it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:   6%|▉               | 13/230 [00:01<00:10, 20.57it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:   8%|█▎              | 19/230 [00:01<00:10, 19.76it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:  14%|██▏             | 32/230 [00:01<00:08, 22.30it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:  15%|██▍             | 35/230 [00:02<00:11, 16.84it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:  17%|██▋             | 38/230 [00:03<00:25,  7.55it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:  17%|██▊             | 40/230 [00:05<00:45,  4.18it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:  18%|██▉             | 42/230 [00:06<00:48,  3.85it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:  20%|███▏            | 46/230 [00:06<00:34,  5.40it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:  21%|███▍            | 49/230 [00:06<00:36,  5.00it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:  23%|███▌            | 52/230 [00:08<00:47,  3.73it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:  23%|███▊            | 54/230 [00:08<00:48,  3.66it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:  29%|████▌           | 66/230 [00:08<00:17,  9.40it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:  31%|████▉           | 71/230 [00:10<00:22,  7.19it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:  33%|█████▏          | 75/230 [00:10<00:24,  6.38it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:  35%|█████▌          | 80/230 [00:11<00:17,  8.55it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:  40%|██████▍         | 93/230 [00:11<00:09, 14.52it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:  42%|██████▋         | 96/230 [00:11<00:08, 15.02it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:  44%|██████▌        | 101/230 [00:11<00:09, 14.15it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:  46%|██████▊        | 105/230 [00:12<00:11, 10.72it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:  49%|███████▎       | 112/230 [00:12<00:07, 15.32it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:  50%|███████▌       | 115/230 [00:14<00:21,  5.38it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:  51%|███████▋       | 118/230 [00:15<00:17,  6.48it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:  53%|███████▉       | 121/230 [00:15<00:15,  7.07it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:  54%|████████▏      | 125/230 [00:16<00:16,  6.40it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:  55%|████████▎      | 127/230 [00:16<00:16,  6.35it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:  56%|████████▍      | 129/230 [00:16<00:17,  5.88it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:  57%|████████▌      | 131/230 [00:17<00:14,  6.74it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:  58%|████████▋      | 134/230 [00:17<00:19,  4.91it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:  59%|████████▊      | 135/230 [00:18<00:18,  5.12it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:  61%|█████████▏     | 141/230 [00:18<00:12,  6.88it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:  65%|█████████▋     | 149/230 [00:18<00:06, 12.69it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:  67%|█████████▉     | 153/230 [00:20<00:11,  6.78it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:  71%|██████████▋    | 163/230 [00:20<00:05, 12.37it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:  73%|██████████▉    | 168/230 [00:21<00:07,  8.73it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:  76%|███████████▍   | 175/230 [00:22<00:07,  7.20it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:  81%|████████████▏  | 186/230 [00:23<00:04,  9.58it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:  82%|████████████▎  | 189/230 [00:23<00:04,  8.64it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:  83%|████████████▍  | 191/230 [00:25<00:07,  5.37it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:  86%|████████████▊  | 197/230 [00:25<00:05,  6.20it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:  87%|████████████▉  | 199/230 [00:26<00:04,  6.49it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "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",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:  15%|██▍             | 35/230 [00:02<00:16, 11.58it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:  17%|██▋             | 38/230 [00:03<00:23,  8.24it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:  17%|██▊             | 40/230 [00:04<00:31,  6.12it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:  18%|██▉             | 42/230 [00:06<01:10,  2.65it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:  20%|███▏            | 46/230 [00:07<00:48,  3.82it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "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",
+      "Rescaling quality scores:  23%|███▌            | 52/230 [00:07<00:33,  5.29it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:  23%|███▊            | 54/230 [00:08<00:32,  5.38it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:  25%|███▉            | 57/230 [00:08<00:27,  6.34it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:  30%|████▊           | 70/230 [00:08<00:09, 16.12it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:  32%|█████▏          | 74/230 [00:09<00:12, 12.10it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:  33%|█████▎          | 77/230 [00:09<00:12, 12.53it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:  37%|█████▉          | 86/230 [00:09<00:07, 20.30it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:  42%|██████▋         | 96/230 [00:09<00:04, 28.71it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:  44%|██████▌        | 101/230 [00:11<00:12, 10.13it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:  46%|██████▊        | 105/230 [00:12<00:16,  7.67it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:  48%|███████▏       | 111/230 [00:12<00:12,  9.52it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:  50%|███████▍       | 114/230 [00:12<00:12,  9.06it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:  50%|███████▌       | 116/230 [00:13<00:15,  7.13it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:  54%|████████       | 124/230 [00:13<00:08, 12.15it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:  56%|████████▎      | 128/230 [00:15<00:15,  6.58it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:  57%|████████▌      | 131/230 [00:15<00:16,  5.85it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:  58%|████████▋      | 134/230 [00:16<00:16,  5.86it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:  59%|████████▊      | 136/230 [00:16<00:17,  5.28it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:  61%|█████████▏     | 141/230 [00:17<00:11,  7.57it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:  65%|█████████▊     | 150/230 [00:17<00:05, 13.99it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:  67%|██████████     | 154/230 [00:18<00:10,  7.53it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:  73%|██████████▉    | 167/230 [00:18<00:05, 12.51it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:  76%|███████████▍   | 175/230 [00:19<00:03, 15.22it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:  77%|███████████▌   | 178/230 [00:19<00:04, 11.50it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:  81%|████████████▏  | 186/230 [00:20<00:02, 15.10it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "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]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "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",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:  59%|████████▊      | 136/230 [00:17<00:20,  4.63it/s]"
+     ]
+    },
+    {
+     "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]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "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]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "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": [
+      "\r\n",
+      "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": [
+      "\r\n",
+      "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]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:  48%|███████▏       | 111/230 [00:08<00:05, 22.68it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r\n",
+      "Rescaling quality scores:  50%|███████▍       | 114/230 [00:09<00:06, 16.84it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "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]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "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"
      ]
-    }
-   ],
-   "source": [
-    "%%timeit -r 3\n",
-    "! pydamage analyze --rescale --group --force /home/maxime_borry/09_samdzong/results/genomic_analysis/adnamap_fermentation/results_libmerge/alignment_after_lca/lactobacillus_helveticus/SZG020_lactobacillus_helveticus/SZG020_lactobacillus_helveticus.sorted.bam"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 41,
-   "metadata": {},
-   "outputs": [
+    },
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Estimating and testing Damage: 100%|██████████| 230/230 [00:11<00:00, 19.18it/s]\n",
-      "230 contig(s) analyzed by Pydamage\n",
-      "Rescaling quality scores: 100%|███████████████| 230/230 [00:30<00:00,  7.45it/s]\n",
-      "Estimating and testing Damage: 100%|██████████| 230/230 [00:13<00:00, 17.69it/s]\n",
-      "230 contig(s) analyzed by Pydamage\n",
-      "Rescaling quality scores: 100%|███████████████| 230/230 [00:33<00:00,  6.86it/s]\n",
-      "Estimating and testing Damage: 100%|██████████| 230/230 [00:12<00:00, 18.85it/s]\n",
-      "230 contig(s) analyzed by Pydamage\n",
-      "Rescaling quality scores: 100%|███████████████| 230/230 [00:29<00:00,  7.92it/s]\n",
-      "Estimating and testing Damage: 100%|██████████| 230/230 [00:12<00:00, 18.46it/s]\n",
-      "230 contig(s) analyzed by Pydamage\n",
-      "Rescaling quality scores: 100%|███████████████| 230/230 [00:29<00:00,  7.70it/s]\n",
-      "46.1 s ± 2.24 s per loop (mean ± std. dev. of 3 runs, 1 loop each)\n"
+      "\u001b[?25h"
      ]
-    }
-   ],
-   "source": [
-    "%%timeit -r 3\n",
-    "! pydamage analyze --rescale -p 8 --force /home/maxime_borry/09_samdzong/results/genomic_analysis/adnamap_fermentation/results_libmerge/alignment_after_lca/lactobacillus_helveticus/SZG020_lactobacillus_helveticus/SZG020_lactobacillus_helveticus.sorted.bam"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 13,
-   "metadata": {},
-   "outputs": [
+    },
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "pydamage, version 0.80\n"
+      "Rescaling BAM: '../../tests/data/bigger_test_data.bam' -> 'results_bigger_test_data/bigger_test_data.rescaled.bam'\r\n"
      ]
-    }
-   ],
-   "source": [
-    "! pydamage --version"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "metadata": {},
-   "outputs": [
+    },
+    {
+     "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": [
-      "Started with the command: /home/maxime_borry/miniforge3/envs/dmg_bench/bin/mapDamage -i /home/maxime_borry/09_samdzong/results/genomic_analysis/adnamap_fermentation/results_libmerge/alignment_after_lca/lactobacillus_helveticus/SZG020_lactobacillus_helveticus/SZG020_lactobacillus_helveticus.sorted.bam -r /home/maxime_borry/03_genomes/bacteria/GCF_003053085.1_lactobacillus_helveticus_ASM305308v1_genomic.fna --rescale\n",
-      "\tReading from '/home/maxime_borry/09_samdzong/results/genomic_analysis/adnamap_fermentation/results_libmerge/alignment_after_lca/lactobacillus_helveticus/SZG020_lactobacillus_helveticus/SZG020_lactobacillus_helveticus.sorted.bam'\n",
-      "\tWriting results to 'results_SZG020_lactobacillus_helveticus.sorted/'\n",
-      "pdf results_SZG020_lactobacillus_helveticus.sorted/Fragmisincorporation_plot.pdf generated\n",
-      "additional results_SZG020_lactobacillus_helveticus.sorted/Length_plot.pdf generated\n",
-      "Performing Bayesian estimates\n",
-      "Starting grid search, starting from random values\n",
-      "Adjusting the proposal variance iteration  1  \n",
-      "Adjusting the proposal variance iteration  2  \n",
-      "Adjusting the proposal variance iteration  3  \n",
-      "Adjusting the proposal variance iteration  4  \n",
-      "Adjusting the proposal variance iteration  5  \n",
-      "Adjusting the proposal variance iteration  6  \n",
-      "Adjusting the proposal variance iteration  7  \n",
-      "Adjusting the proposal variance iteration  8  \n",
-      "Adjusting the proposal variance iteration  9  \n",
-      "Adjusting the proposal variance iteration  10  \n",
-      "Done burning, starting the iterations\n",
-      "Done with the iterations, finishing up\n",
-      "Writing and plotting to files\n",
-      "\u001b[?25h\u001b[?25hRescaling BAM: '/home/maxime_borry/09_samdzong/results/genomic_analysis/adnamap_fermentation/results_libmerge/alignment_after_lca/lactobacillus_helveticus/SZG020_lactobacillus_helveticus/SZG020_lactobacillus_helveticus.sorted.bam' -> 'results_SZG020_lactobacillus_helveticus.sorted/SZG020_lactobacillus_helveticus.sorted.rescaled.bam'\n",
-      "Warning! Assuming the pairs are non-overlapping, facing inwards and correctly paired.\n",
-      "Number of non-rescaled reads due to improper pairing:  845319\n",
-      "\tThe expected substition frequencies before and after scaling using the scaled qualities as probalities:\n",
-      "\tCT\t0.022074949825252405\t\t0.012365067653009319\n",
-      "\tTC\t0.006143060440522095\t\t0.006143060440522095\n",
-      "\tGA\t0.022384267009500677\t\t0.012316834338834341\n",
-      "\tAG\t0.006157675379772034\t\t0.006157675379772034\n",
-      "\tQuality metrics before and after scaling\n",
-      "\tCT-Q0 \t541379\t\t541379\n",
-      "\tCT-Q10 \t541379\t\t259309\n",
-      "\tCT-Q20 \t533542\t\t255363\n",
-      "\tCT-Q30 \t529743\t\t253189\n",
-      "\tCT-Q40 \t0\t\t0\n",
-      "\tGA-Q0 \t559491\t\t559491\n",
-      "\tGA-Q10 \t559491\t\t262017\n",
-      "\tGA-Q20 \t548446\t\t257032\n",
-      "\tGA-Q30 \t543260\t\t254466\n",
-      "\tGA-Q40 \t0\t\t0\n",
-      "Successful run\n",
-      "Warning, results_SZG020_lactobacillus_helveticus.sorted already exists\n",
-      "Started with the command: /home/maxime_borry/miniforge3/envs/dmg_bench/bin/mapDamage -i /home/maxime_borry/09_samdzong/results/genomic_analysis/adnamap_fermentation/results_libmerge/alignment_after_lca/lactobacillus_helveticus/SZG020_lactobacillus_helveticus/SZG020_lactobacillus_helveticus.sorted.bam -r /home/maxime_borry/03_genomes/bacteria/GCF_003053085.1_lactobacillus_helveticus_ASM305308v1_genomic.fna --rescale\n",
-      "\tReading from '/home/maxime_borry/09_samdzong/results/genomic_analysis/adnamap_fermentation/results_libmerge/alignment_after_lca/lactobacillus_helveticus/SZG020_lactobacillus_helveticus/SZG020_lactobacillus_helveticus.sorted.bam'\n",
-      "\tWriting results to 'results_SZG020_lactobacillus_helveticus.sorted/'\n",
-      "pdf results_SZG020_lactobacillus_helveticus.sorted/Fragmisincorporation_plot.pdf generated\n",
-      "additional results_SZG020_lactobacillus_helveticus.sorted/Length_plot.pdf generated\n",
-      "Performing Bayesian estimates\n",
-      "Starting grid search, starting from random values\n",
-      "Adjusting the proposal variance iteration  1  \n",
-      "Adjusting the proposal variance iteration  2  \n",
-      "Adjusting the proposal variance iteration  3  \n",
-      "Adjusting the proposal variance iteration  4  \n",
-      "Adjusting the proposal variance iteration  5  \n",
-      "Adjusting the proposal variance iteration  6  \n",
-      "Adjusting the proposal variance iteration  7  \n",
-      "Adjusting the proposal variance iteration  8  \n",
-      "Adjusting the proposal variance iteration  9  \n",
-      "Adjusting the proposal variance iteration  10  \n",
-      "Done burning, starting the iterations\n",
-      "Done with the iterations, finishing up\n",
-      "Writing and plotting to files\n",
-      "\u001b[?25h\u001b[?25hRescaling BAM: '/home/maxime_borry/09_samdzong/results/genomic_analysis/adnamap_fermentation/results_libmerge/alignment_after_lca/lactobacillus_helveticus/SZG020_lactobacillus_helveticus/SZG020_lactobacillus_helveticus.sorted.bam' -> 'results_SZG020_lactobacillus_helveticus.sorted/SZG020_lactobacillus_helveticus.sorted.rescaled.bam'\n",
-      "Warning! Assuming the pairs are non-overlapping, facing inwards and correctly paired.\n",
-      "Number of non-rescaled reads due to improper pairing:  845319\n",
-      "\tThe expected substition frequencies before and after scaling using the scaled qualities as probalities:\n",
-      "\tCT\t0.022074949825252405\t\t0.012365409710031612\n",
-      "\tTC\t0.006143060440522095\t\t0.006143060440522095\n",
-      "\tGA\t0.022384267009500677\t\t0.012317179025719348\n",
-      "\tAG\t0.006157675379772034\t\t0.006157675379772034\n",
-      "\tQuality metrics before and after scaling\n",
-      "\tCT-Q0 \t541379\t\t541379\n",
-      "\tCT-Q10 \t541379\t\t259309\n",
-      "\tCT-Q20 \t533542\t\t255363\n",
-      "\tCT-Q30 \t529743\t\t253189\n",
-      "\tCT-Q40 \t0\t\t0\n",
-      "\tGA-Q0 \t559491\t\t559491\n",
-      "\tGA-Q10 \t559491\t\t262017\n",
-      "\tGA-Q20 \t548446\t\t257032\n",
-      "\tGA-Q30 \t543260\t\t254466\n",
-      "\tGA-Q40 \t0\t\t0\n",
-      "Successful run\n",
-      "Warning, results_SZG020_lactobacillus_helveticus.sorted already exists\n",
-      "Started with the command: /home/maxime_borry/miniforge3/envs/dmg_bench/bin/mapDamage -i /home/maxime_borry/09_samdzong/results/genomic_analysis/adnamap_fermentation/results_libmerge/alignment_after_lca/lactobacillus_helveticus/SZG020_lactobacillus_helveticus/SZG020_lactobacillus_helveticus.sorted.bam -r /home/maxime_borry/03_genomes/bacteria/GCF_003053085.1_lactobacillus_helveticus_ASM305308v1_genomic.fna --rescale\n",
-      "\tReading from '/home/maxime_borry/09_samdzong/results/genomic_analysis/adnamap_fermentation/results_libmerge/alignment_after_lca/lactobacillus_helveticus/SZG020_lactobacillus_helveticus/SZG020_lactobacillus_helveticus.sorted.bam'\n",
-      "\tWriting results to 'results_SZG020_lactobacillus_helveticus.sorted/'\n",
-      "pdf results_SZG020_lactobacillus_helveticus.sorted/Fragmisincorporation_plot.pdf generated\n",
-      "additional results_SZG020_lactobacillus_helveticus.sorted/Length_plot.pdf generated\n",
-      "Performing Bayesian estimates\n",
-      "Starting grid search, starting from random values\n",
-      "Adjusting the proposal variance iteration  1  \n",
-      "Adjusting the proposal variance iteration  2  \n",
-      "Adjusting the proposal variance iteration  3  \n",
-      "Adjusting the proposal variance iteration  4  \n",
-      "Adjusting the proposal variance iteration  5  \n",
-      "Adjusting the proposal variance iteration  6  \n",
-      "Adjusting the proposal variance iteration  7  \n",
-      "Adjusting the proposal variance iteration  8  \n",
-      "Adjusting the proposal variance iteration  9  \n",
-      "Adjusting the proposal variance iteration  10  \n",
-      "Done burning, starting the iterations\n",
-      "Done with the iterations, finishing up\n",
-      "Writing and plotting to files\n",
-      "\u001b[?25h\u001b[?25hRescaling BAM: '/home/maxime_borry/09_samdzong/results/genomic_analysis/adnamap_fermentation/results_libmerge/alignment_after_lca/lactobacillus_helveticus/SZG020_lactobacillus_helveticus/SZG020_lactobacillus_helveticus.sorted.bam' -> 'results_SZG020_lactobacillus_helveticus.sorted/SZG020_lactobacillus_helveticus.sorted.rescaled.bam'\n",
-      "Warning! Assuming the pairs are non-overlapping, facing inwards and correctly paired.\n",
-      "Number of non-rescaled reads due to improper pairing:  845319\n",
-      "\tThe expected substition frequencies before and after scaling using the scaled qualities as probalities:\n",
-      "\tCT\t0.022074949825252405\t\t0.01236518325108017\n",
-      "\tTC\t0.006143060440522095\t\t0.006143060440522095\n",
-      "\tGA\t0.022384267009500677\t\t0.012316950012025374\n",
-      "\tAG\t0.006157675379772034\t\t0.006157675379772034\n",
-      "\tQuality metrics before and after scaling\n",
-      "\tCT-Q0 \t541379\t\t541379\n",
-      "\tCT-Q10 \t541379\t\t259309\n",
-      "\tCT-Q20 \t533542\t\t255363\n",
-      "\tCT-Q30 \t529743\t\t253189\n",
-      "\tCT-Q40 \t0\t\t0\n",
-      "\tGA-Q0 \t559491\t\t559491\n",
-      "\tGA-Q10 \t559491\t\t262017\n",
-      "\tGA-Q20 \t548446\t\t257032\n",
-      "\tGA-Q30 \t543260\t\t254466\n",
-      "\tGA-Q40 \t0\t\t0\n",
-      "Successful run\n",
-      "Warning, results_SZG020_lactobacillus_helveticus.sorted already exists\n",
-      "Started with the command: /home/maxime_borry/miniforge3/envs/dmg_bench/bin/mapDamage -i /home/maxime_borry/09_samdzong/results/genomic_analysis/adnamap_fermentation/results_libmerge/alignment_after_lca/lactobacillus_helveticus/SZG020_lactobacillus_helveticus/SZG020_lactobacillus_helveticus.sorted.bam -r /home/maxime_borry/03_genomes/bacteria/GCF_003053085.1_lactobacillus_helveticus_ASM305308v1_genomic.fna --rescale\n",
-      "\tReading from '/home/maxime_borry/09_samdzong/results/genomic_analysis/adnamap_fermentation/results_libmerge/alignment_after_lca/lactobacillus_helveticus/SZG020_lactobacillus_helveticus/SZG020_lactobacillus_helveticus.sorted.bam'\n",
-      "\tWriting results to 'results_SZG020_lactobacillus_helveticus.sorted/'\n",
-      "pdf results_SZG020_lactobacillus_helveticus.sorted/Fragmisincorporation_plot.pdf generated\n",
-      "additional results_SZG020_lactobacillus_helveticus.sorted/Length_plot.pdf generated\n",
-      "Performing Bayesian estimates\n",
-      "Starting grid search, starting from random values\n",
-      "Adjusting the proposal variance iteration  1  \n",
-      "Adjusting the proposal variance iteration  2  \n",
-      "Adjusting the proposal variance iteration  3  \n",
-      "Adjusting the proposal variance iteration  4  \n",
-      "Adjusting the proposal variance iteration  5  \n",
-      "Adjusting the proposal variance iteration  6  \n",
-      "Adjusting the proposal variance iteration  7  \n",
-      "Adjusting the proposal variance iteration  8  \n",
-      "Adjusting the proposal variance iteration  9  \n",
-      "Adjusting the proposal variance iteration  10  \n",
-      "Done burning, starting the iterations\n",
-      "Done with the iterations, finishing up\n",
-      "Writing and plotting to files\n",
-      "\u001b[?25h\u001b[?25hRescaling BAM: '/home/maxime_borry/09_samdzong/results/genomic_analysis/adnamap_fermentation/results_libmerge/alignment_after_lca/lactobacillus_helveticus/SZG020_lactobacillus_helveticus/SZG020_lactobacillus_helveticus.sorted.bam' -> 'results_SZG020_lactobacillus_helveticus.sorted/SZG020_lactobacillus_helveticus.sorted.rescaled.bam'\n",
-      "Warning! Assuming the pairs are non-overlapping, facing inwards and correctly paired.\n",
-      "Number of non-rescaled reads due to improper pairing:  845319\n",
-      "\tThe expected substition frequencies before and after scaling using the scaled qualities as probalities:\n",
-      "\tCT\t0.022074949825252405\t\t0.012365054018016467\n",
-      "\tTC\t0.006143060440522095\t\t0.006143060440522095\n",
-      "\tGA\t0.022384267009500677\t\t0.012316822453841499\n",
-      "\tAG\t0.006157675379772034\t\t0.006157675379772034\n",
-      "\tQuality metrics before and after scaling\n",
-      "\tCT-Q0 \t541379\t\t541379\n",
-      "\tCT-Q10 \t541379\t\t259309\n",
-      "\tCT-Q20 \t533542\t\t255363\n",
-      "\tCT-Q30 \t529743\t\t253189\n",
-      "\tCT-Q40 \t0\t\t0\n",
-      "\tGA-Q0 \t559491\t\t559491\n",
-      "\tGA-Q10 \t559491\t\t262017\n",
-      "\tGA-Q20 \t548446\t\t257032\n",
-      "\tGA-Q30 \t543260\t\t254466\n",
-      "\tGA-Q40 \t0\t\t0\n",
-      "Successful run\n",
-      "12min 56s ± 15 s per loop (mean ± std. dev. of 3 runs, 1 loop each)\n"
+      "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\n",
-    "! mapDamage -i /home/maxime_borry/09_samdzong/results/genomic_analysis/adnamap_fermentation/results_libmerge/alignment_after_lca/lactobacillus_helveticus/SZG020_lactobacillus_helveticus/SZG020_lactobacillus_helveticus.sorted.bam -r /home/maxime_borry/03_genomes/bacteria/GCF_003053085.1_lactobacillus_helveticus_ASM305308v1_genomic.fna --rescale"
+    "%%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": 11,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "2.2.2\n"
-     ]
+   "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": [
-    "! mapDamage --version "
+    "res = _\n",
+    "res_dict[\"mapDamage v2.2.2\"] = {\n",
+    "    \"mean\" : res.average,\n",
+    "    \"std\" : res.stdev\n",
+    "}"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 42,
-   "metadata": {},
+   "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({\n",
-    "    \"pydamage v0.80\" : {\n",
-    "        \"mean\" : 105,\n",
-    "        \"std\" : 3.27\n",
-    "    },\n",
-    "    \"pydamage v0.80 - parallel\" : {\n",
-    "        \"mean\" : 46.1,\n",
-    "        \"std\" : 2.24\n",
-    "    },\n",
-    "    \"mapDamage v2.2.2\" : {\n",
-    "        \"mean\" : 776,\n",
-    "        \"std\" : 15\n",
-    "    }\n",
-    "}).T"
+    "runtimes = pd.DataFrame.from_dict(res_dict, orient=\"index\")"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 43,
-   "metadata": {},
+   "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": {
-      "image/png": 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"
      },
      "metadata": {
       "image/png": {
@@ -339,50 +12714,98 @@
    ]
   },
   {
-   "cell_type": "code",
-   "execution_count": 3,
+   "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",
-    "    quals = [] \n",
+    "    fwd = [] \n",
+    "    rev = []\n",
     "    with pysam.AlignmentFile(bam, \"rb\") as bam:\n",
     "        for read in bam:\n",
-    "            quals.append(np.array(read.get_forward_qualities())[:20])\n",
-    "    return np.stack(quals)"
+    "            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": 44,
-   "metadata": {},
+   "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 = get_phred_scores(\"/home/maxime_borry/09_samdzong/results/genomic_analysis/adnamap_fermentation/results_libmerge/alignment_after_lca/lactobacillus_helveticus/SZG020_lactobacillus_helveticus/SZG020_lactobacillus_helveticus.sorted.bam\")"
+    "original_fwd, original_rev = get_phred_scores(\"../../tests/data/bigger_test_data.bam\")"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 45,
-   "metadata": {},
+   "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 = get_phred_scores(\"/home/maxime_borry/14_github/pydamage/docs/source/notebooks/pydamage_results/pydamage_rescaled.bam\") "
+    "pydamage_fwd, pydamage_rev = get_phred_scores(\"pydamage_results/pydamage_rescaled.bam\") "
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 46,
-   "metadata": {},
+   "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 = get_phred_scores(\"/home/maxime_borry/14_github/pydamage/docs/source/notebooks/results_SZG020_lactobacillus_helveticus.sorted/SZG020_lactobacillus_helveticus.sorted.rescaled.bam\")"
+    "mapdamage_fwd, mapdamage_rev = get_phred_scores(\"results_bigger_test_data/bigger_test_data.rescaled.bam\")"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 47,
-   "metadata": {},
+   "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']"
@@ -390,13 +12813,20 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 48,
-   "metadata": {},
+   "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 = (\n",
+    "df_fwd = (\n",
     "    pd.DataFrame(\n",
-    "        [original.mean(axis=0), mapdamage.mean(axis=0), pydamage.mean(axis=0)],\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",
@@ -406,7 +12836,7 @@
     ").merge(\n",
     "    (\n",
     "        pd.DataFrame(\n",
-    "        [original.std(axis=0), mapdamage.std(axis=0), pydamage.std(axis=0)],\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",
@@ -419,12 +12849,48 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 49,
-   "metadata": {},
+   "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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LlumGG27Q7t27NWfOHDVt2lRDhgxRjx49VKdOHechIa707NnTrHJwgRh7+JUS2wyjjmwaJUmaasyV4/Ahl2N93XiKiZUBAAAAAAB4B1NnABqGIUkyDEOpqan6/PPP9fnnn7t1vWEYys3NNascAAAAAAAAADIxAJTOPgGYE4FR0cbFPFNi2+p927X49OOBjs7qEjPSM0UBAAAAAAB4EdMCwLFjx5o1FOA2V/v27dEx5+MaimKPPwAAAAAAcEEiAAQAAAAAAAB8mOtjUQEAAAAAAMph1KhRMgxDo0aNMnXcJUuWyDAM5zkE3qLgbIQXXnihsksBzkIACAAAAAAAAPgwUw8BAQAAAAAAkKRatWqpWbNmqlWrlqnjBgcHq1mzZqaOCfi6Cg0As7OzlZiYqMzMTLf616tXryLLAQAAAAAAHjJ+/HiNHz/e9HE7deqk7du3mz4u4MtMDwB3796td999V3PmzNHu3bvdvs4wDOXm5ppdDgAAAAAAAHBBM3UPwC+//FKtW7fWxIkTtXv3bjkcjjK9AQAAAAAAz5o9e7YGDRqk6OhoBQQEKDo6Wtddd53mzp1bbP/Ch11kZWXplVdeUevWrRUWFibDMJSYmCip9ENACq5t2bKlgoKCVLNmTQ0ePFi///67JDkP+liyZEmR61wdAvLCCy/IMAz17t1bkjR37lxdfvnlqlKlioKDg9W+fXt9+OGHJd6L48eP69NPP9UNN9ygli1bKjw8XCEhIWrWrJlGjx6tPXv2uL6ZgJcybQbgpk2bNHLkSNntdjkcDgUFBalDhw6KiYmRzWYz62UAAAAAADiv2R12bcnYqnVpfyo1L02h1hC1D2mnVkEtZDE8d1anw+HQvffeqw8++ECSZLFYFB4ervj4eM2aNUuzZs3S6NGj9d577xUbtmVmZqpnz576448/5O/vr+DgYLdfOyUlRZdffrkz7PP391dWVpZ+/PFHzZ49W9988805f3zjx4/XmDFjZLFYFBYWpoyMDK1fv1533323du/erddff/2sa/7973/rs88+c74fERGh9PR07dixQzt27NDUqVM1a9Ys9enT55zrAzzJtADwjTfeUF5engzD0H333afx48crLCzMrOEBAAAAADjv7c7co0nHPtSRnLgiz89LWqja/tEaXfMuNQps6JFa3nrrLWf49+STT+rJJ59UVFSUTp06pfHjx2vChAmaNGmSmjZtqgcffPCs6ydNmiQ/Pz99/fXX+sc//qGAgADt379fISEhpb72ww8/rN9//102m03vvfeeRowYIZvNpr1792r06NH617/+dU4f28aNG7VixQq99NJLuv/++xUZGaljx47p/vvv14wZMzRhwgSNGjVKzZs3L3JdgwYN9Pzzz+v6669X48aNFRwcrLy8PP3555969tlnNW/ePA0dOlR79uwpU+AJVDbT/rSwbNkyGYahfv36aeLEiYR/AAAAAAAUsjtzj148/NpZ4V+BIzlxevHwa9qdWfHLTNPT0/XSSy9Jkh544AG99tprioqKkiRVqVJFb7zxhu666y5J0rhx45SRkXHWGKmpqZo+fbpuuukmBQQESJLq168vf39/l6+9b98+ffrpp5Kk9957T3feeadz5WCDBg30ww8/qG7duuf08SUmJmrcuHF69tlnFRkZKUmqWbOmvvzyS9WtW1d2u10zZsw467qxY8dq3Lhxat26tTPgs1qt6tChg3788Uc1b95cx44dK/ZawJuZFgAeP35cknTjjTeaNSQAAAAAAD7B7rBr0rEPleXIdtkvy5GtScc+lN1hr9B6fv31VyUmJspqtWrMmDHF9nn++edlsVh06tQpzZ8//6z21q1ba8CAAWV+7e+//14Oh0M1atTQbbfddlZ7QECAHnvssTKPW1hgYKAefvjhs5739/fX5ZdfLknavHlzmca02WzOa1esWHFO9QGeZtoS4IiICMXHxzv/YgAAAAAAgK+4edcoj73WkZw43bL77GCsLL5uPMVl+7p16yRJLVq0UHR0dLF9YmJi1Lx5c/31119at26dBg0aVKS9a9eu5artzz//dF5vtVqL7dOzZ89yjV2gefPmJS5FrlWrliQpISGh2Pb169dr8uTJWrFihQ4ePKi0tLSzDi49cuTIOdUHeJppAWCLFi20dOlSHTx40KwhAQAAAABABYiPj5eUH/K5UqdOHf3111/OVX+FVa9e/Zxeu3bt2iX2cdXmjvDw8BLb/Pzyo5CcnJyz2t5991098sgjstvzZ2BaLBZFREQ4lyinpqYqLS1NaWlp51Qf4GmmLQEeMWKEHA6HvvvuO7OGBAAAAAAAFai4033d7VfS7L3S/H02nbuvV9G2bdumRx99VHa7XTfddJPWrl2rzMxMJSQkKC4uTnFxcXrkkUckufcxAN7EtABw5MiR6tmzp1atWqX33nvPrGEBAAAAAIDJCmbvHTp0yGW/gvbyzvYrTo0aNSRJR48eLbFPZSyxnTFjhvLy8tSiRQt9+eWXat++/VkHmhw7dszjdQFmMG0JsGEY+v7773X99dfr4Ycf1vr16/XII4+odevWZr0EAAAALiCbdi4sse1ocpyk6NOP92vTziyXY7Vu0s/M0ry2Nld15ddDbUB5lbanXmk2pW/Rq0cmuN3/mdpP6JLgluf0mq506NBBkrR161bFxcUVuw/g0aNHtW3bNklS+/btTXvtdu3aadq0afrtt9+Ul5dX7EzCpUuXmvZ67irY0qx169ayWM6eL+VwOLRo0SJPlwWYoswBYMOGDV225+bmyuFwaOrUqZo6daqCg4NVtWrVYv/xFGYYhnbv3l3WcgAAAHAOvDXIkqRXjc9LbDMi6simzpKk+RHb9Ktx9umUhX2tC6M2V3VRW8m8OZz05tpQNq2CWqi2f7SO5MSV2re2fy21DGpeofVcfvnlioqKUkJCgl599VW9++67Z/V58cUXZbfbVaVKFefpt2b4xz/+occff1zHjx/XlClTdPvttxdpz8nJ0Ztvvmna67krIiJCkrRlyxY5HI6zliF/9NFH5BY4b5U5ANy3b58MwyhxvbthGEXa3d0cszLW9wMAAHgCIRvg3bw5nPTm2lA2FsOi0TXv0ouHX1OWI7vEfjYjQKNr3imLYdqOXcUKDg7Wc889p0cffVTvvfeeQkJC9O9//9sZCr722muaPHmyJOmFF15QUFCQaa/doEEDjRgxQp999pnuv/9+SdLw4cNls9m0b98+PfDAAzpw4IBpr+euK664QhMmTNCWLVv04IMP6qWXXlJkZKSSk5P1wQcfaMyYMapatapOnjzp8dqAc1XmALBevXqEdQAAwOvEZux02X5cCSoI2o4rwWX/ZkFNzCyNkK2cxjhuLbHtsMOm6acfj3AMVIzDdXBqNm+tzVVdErUBla1RYEM9H/OUJh37sNiZgLX9a2l0zTvVKND1yjuzPPzww4qNjdUHH3yg1157Tf/5z38UERGhpKQk5ym49913nzOkM9M777yjrVu3as2aNbrjjjt07733KiQkRImJifL399f06dM1ZMgQSVJgYKDpr1+c/v3768Ybb9S3336riRMnauLEiYqKilJycrLy8vJ0xRVXqEOHDnrllVc8Ug9gpnLNAAQAABcmbw7Zxh52/cO4YdSRTfnLqeYav2vO4e9K7Huu+zydT7w1yJJcz3YMsmdIOixJaly3vZo0MW9miju8tbbSZohSW/G8OZz05tpQPo0CG2pCvVf1V8Y2rU1br7S8dIVYg9Uh5FK1Cmrh0Qk3hmFo8uTJuvbaazV58mT9/vvvSkhIUNWqVdWlSxfde++9uvLKKyvktSMiIrRs2TJNmDBBX3zxhfbu3St/f39dd911GjNmjJo0OfNzQmRkZIXUUJyvvvpKnTt31qeffqqdO3fKbrerffv2uvXWW3XffffpxRdf9FgtgJlMOwQEAAD4PkK28iFkA7ybN4eT3lwbys9iWHRJcMsKPeSjLK6++mpdffXVbvdfsmSJW/2mTJmiKVOmlNgeGBioZ599Vs8+++xZbQsWLJAk2Ww2NWrUqEhb7969S9yW7IUXXtALL7zgsi5XfaxWqx577DE99thjZb7W3fsCVAYCQAAAvIw3z7LzZuNinnHZvmffsSJBW8OYmhVf1GmEbAAAuM/hcOg///mPpPywz9/fv5IrAs5/pgSAhw4d0ubNm5WUlKTIyEhdcskliomJMWNoAAAqhJkhm2Ru0ObNs+y8OWQr7XOQI7vzcV1Vv6DCUQAAvM2xY8f0+OOP61//+pc6duyosLAwSdKmTZs0duxYzZ+fvyfuE088UZllAj7jnALANWvW6OGHH9bq1avPauvatavefPNNderU6VxeAgCACmFmyCZdOMtZCdkAAIAZcnJyNG3aNE2bNk1S/p6A2dnZysjIcPZ5+eWX1a/fhXP4FVCRyh0A/vrrrxo8eLCysrKKXXv/22+/qVevXvrhhx90xRVXnFORAFDZvHm2mDfjvpWPN8+yAwAAMEP16tX19ttva/78+dq6dauOHz8uu92uevXqqXv37ho9erS6d+9e2WUCPqNcAWBKSopGjhypzMxM53NNmjRR9erVdfz4ce3atUuSlJWVpZEjR2rHjh0KDw83p2IAqATMFisfb75v3hyyMcsOAAD4OpvNpoceekgPPfRQZZcCXBDKFQB+/vnnOnbsmAzDUIcOHfTZZ5/p4osvdrZv27ZN//rXv/THH38oPj5en3/+uUaPHm1a0QCAM5hlVz6EbAAAAAAuFOUKAOfMmSNJqlatmubOnauoqKgi7c2bN9ecOXPUvHlzxcfHa86cOQSAAM5r3jxbjFl2AAAAAABXyhUAbtq0SYZhaMSIEWeFfwWioqI0YsQITZgwQZs3bz6nIgFAknLs2c7HafY0j742s8XKh/sGAAAAAJWvXAHgqVOnJElt27Z12a9NmzaSpJMnT5bnZQBAknQkO04zE2Zpe9IBSaMkSYuTlumvQ+s1KOoqtQtpU6n1VTZm2QGA5+2MzSix7eCBrGIfl6RJsyBTapJc1yVR2/mI+wYAMEO5AsC0tDQZhqGwsDCX/UJDQyWpyDHeAFAWsRk79drRN5Vhz1BVxRRp25YZq21HYzWs6k26NurKSqqw8jHLDoCv8taQTZJeGXvYrX5TPzlRap8pXzc+13Kc3K1LorbCvDlk8+b7BgA4f5QrAATge/IceVqduka/payWNFiStCBpkU6dOKIBEX1V3b+ax2tKzkvWG0ffVobd9Q/lX5ycrjoBtS/4mYAA4Gu8NWSD7yFkAwD4OgJAAErLS9OEo+9qW2asquaemWWXac/ST4mzNS9pgR6MvlcdQtp5tK5FScuU6uZef7MSZhMAAkA5ePMsO2/2zLiY0jtVAm+tS/Lu2rwZ9w0AYIZzCgANwzCrDgCVxO6w6824idqWGVtin2xHtt4+OknPxzylpkGe+4v2kpTlbvfdlhmruOxjig5gfzsA3sebQzZvnmXnzcGHt4ad3lqX5N218bUGAPB15xQADh482K1+DodDVqvVZR/DMJSbm3su5QAoh43pW/RXxrZS++UqV9+emqlnYp7wQFX53zeO5Rwv0zXHcuMJAIELWGl7eB2OK/rY5qL/hRSyeTOCD3gKX2sAAF93zkuAHQ5HiW2GYThnCbrqB6DyLEhe7HbfzRl/6Wh2nGoFRFdgRWdYZFGe8tzub5WlAqsB4O1KD9nO/DHyq5+t0s8l97+QQjZvnvkEAAAAc5Q7AHQn0CP0A7zfnsy9Zeq/N2u/RwJAwzDUKLCBdmTuOvNkXqFtB3KKziq2yqp6tjoVXhdwofPmWXbezJtDtgvp8wAAAHChKlcAaLfbza4DuGCk5aVpT9ZeSfkh2oa0TaqdHqlLglrIYnh+BptdZfv3bC/DjLxz1T+8T34AmBguvxVdZTlw5pdUyx/t5b+js3IvWy3HRQfVJbSjwq3hHqsNuFB58yy70kK2rIMHFD/1E0lS9RG3y1a3nqmv7wohGwAAACoTpwADHvRr0kJ9cWK6QtOrS+oqSTqUfVjjj0xQnYAYPRp9v2oH1PJoTTX9aygpL7lM/T2lW1hn/bR1rY5/1FtGWoiMmmf2KjQcFlm3N5MltqmMQfM15PpBHqsLgHcqLWTLsEiBlgOSpJj6UlATQjkAAABcGAgAAQ+Zkzhfn534QpIUWkz7oezDeuHwq3qpznMeDdl6h/couszWhToBtdXY1qiCKzojK81Q1qfXykgreZai4TCkWZcr6ZJIxbTyWGlAhfLmZbbePMsOAAAAQPEIAAEPOJWboGknvi61X3Jeiqae+EpP1HrIA1Xl6x7aRd+fmqUTuSdL7Tso8mrnwT6esHxpspKT3Fii7DD0y48JatEquOKLAjzAm5fZMssOAAAAOP9wZCbgAYuSl7p9mu36tA2KzzlRwRWdYbPY9GStRxXuiJJ1TTtZNpyZRmdZ1UF+Pw2UEV9Vg6OuUc/w7h6rS5KWLXJ/afJfmzMUfzynAqsBAAAAAOD8xAxAwAM2pG1yu69DDm1K36J+Eb0rrqC/icyKVs3/e1AH9+YV3Wcvz09+v1+igLXtddHoaKmbx0qSw+HQ0SNlC/SOHc1R9Rr+FVQR4DksswUAAABgJgJAwAMy7Jll6p9Zxv7nwm536J0JR3Vwb8kzFO15hj6ceEyRkX66uIXnlvNZDIfyHO4vObYwpxllYOY+e5K5e+2xzBYAAACAmQgAAQ8Is4ZKZZjMFmYNq7hi/mbj+nTt2lF64Gi3SzO/Pamnx9bxQFWSYRiqFZSgQ2lV3Osvu2rVcFRwVfAlZu6zJ5m/1x4AAAAAmIX5MoAHdA7t6HZff8Nf7ULaVGA1RS1emOR239htmTpyOLsCqymqbd5Kt/s2s2xVYOKBCqwGAAAAAIDzEzMAAQ/oFdZd35z6Xhl210sIJemysK75MwY95MC+rLL135+l2jEBFVTNGQ6HQy0d67Ta6KQTjpou+/opR5f5LZE966IKrwu+g332AAAAAFwoCAABD/j/9u48rsoy///4+z7soKAooiLuS1quZZo2Smm5ZPbNNNfULKdFnZqyfmOWS241mdW06Di5pqm5pbmbplbmVrmkuSsYLoAiKvtyfn8QJxE4gBw4cPN6Ph485ua+rvs+n4Mc7+nttXi7eGt44HOaduFju7sBB7tX04AKvYuwMiktOW+7E9v6pxVSIbcwDEOe5cuqb/R8LUoapChrpWz7uSlJT7gtUmXLRbn6lSua4pBnrLMHAAAAAM5HAAgUkbt9mulfVV/VnMj5unXMnSFDrcq01LMBA+Xj4lOkdVVwi9Y1lc9z/0DfopsCXLZVG6VuXKsh7jN0ILWF9htVdO3PNjclq7XL97rHZbfKWa7KvWo1uVevUWS1IW9YZw8AAAAAnI81AIEi1Ni7kf7l+baqhd9rO1f297s1MGySXvR/XmWKcOpvhmbak+e+gcZ5VUo8VYjVZObX4SHJxUXuRpJauu5SM5dfbG13u+xWR7eNKme5mt734S4yjLzvGAwAAAAAQGnBCECgiFitVq346orWfB2tspX+yt7jLrtpycw4bVwaquGvVFHdep5FWlcjl9+0zbhb0daKufZt67pd1qT2RVBVOrdKlVVpyHOK+Hy6ZM28w+/NWV/Ztu3k2/7BIqsLecc6ewAAAADgfASAQBFZ8dUVfbMyOsf2q9GpmjopXKPHV1NwDY8iq8ujXFn1vfaFFiQ9rWsql2O/B1w3qZHLYbn6PVZktUmSb9t2cilTVpeXLpJuWR7Opayv/Dp1Vfmu3Rn9V0yxzh4AAADyKyQkRNu3b9fYsWM1btw4Z5cDmEKhBIARERH69ttvdfjwYUVHRyshISHXawzD0KxZswqjHMDpIi4la83XOYd/GRISrFr0RZRef9P+qClHKtPqPvn/sUTPeEzXrpT7dVx+mdprW06olcuPquNyUi5+5eR1R6Miqy2DT9Pm8m7STGWWrZaW/3mu+d2q2ftxGW5uRV5PcVOcN9oAAAAAULrt379f7733nrZt26aoqCgFBAQoJCREr732mpo2bXrb901LS9PChQu1YMEC7d+/X1euXJGnp6dq166thx56SC+99JKCg4Pt3mPlypWaPn26fvnlF8XGxio4OFiPPvqoRo0apYoVc58lV5I4NAC8fv26XnnlFc2fP18pKSn5vp4AEGb13bcxt85gzdGR3+J14XySqlR1L9yi/uTb7gFFr/laPomx6uC2UWVcamqzmkhKX2evrftJW1+/Bx+S4eqcgcOGYci1fAXb926VqxL+/YmNNgAAAAAUR19++aUGDx6s5ORkSZKfn5/Cw8O1cOFCLV26VPPmzVOfPn3yfd/4+Hg99thj2rx5s+2cr6+vYmNjdfDgQR08eFAzZszQ119/rY4dO2Z7j+HDh+vTTz+VJLm4uMjb21snTpzQtGnTtHDhQn333Xdq2LDhbbzr4slhm4AkJSXp4Ycf1uzZs5WcnCyr1ZqvL8DMjh62P+LqVr/ns39BuPqVU+BzIySX9JDIYvz1eXQ3km3H3o2bqvwjRTv9FwAAAABQMh0+fFhPP/20kpOT1bt3b124cEFXr17VhQsX1Lt3byUlJWnw4ME6evRovu89ceJEW/g3btw4Xb58WTExMUpISNCmTZtUt25dxcbGqm/fvoqLi8ty/f/+9z99+umnMgxDkydP1vXr13Xt2jXt379fjRs31qVLl9S9e3clJSUV+OdQXDhsKM/06dO1e/duGYYhX19fDR8+XB06dFBQUJA8PIpuPTOgOEqIzd9fGklJaYVUSfbKtLhHVUe+ocuLv5Bu3LLZhqeX/B7oqApP9Hba6L/ioDhPs2WjDQAAAADFzZgxY5SUlKQWLVpowYIFcv3zvycrV66sBQsW6Pjx4/r11181ZswYffXVV/m698KFCyVJgwcP1tixY23nXV1d9dBDD+mrr75SixYtFBUVpR07dqhz5862PklJSRozZowkacSIERo1apStrWnTplq7dq0aNmyokydP6vPPP9eLL7542z+D4sRh/zW/ePFiSVL58uW1e/du1alTx1G3Bko8n5Royc4GG1n7X5VUvpCqyZ53wzvlNW6Kyiz/Rlr257kmzVSr9+OyeBbtzsTFUXGeZstGGwAAAMivmzfaGDVqlP79739r0aJFOnv2rHx8fNSuXTu99dZbatasWabrxo4dq7fffltNmjTRgQMHcrz/zp071bZtW1ksFoWGhqpatWqZ2pcuXar//Oc/2r9/vywWi+68804NGzZM/fv3t1t3WFiYvvnmG23YsEHHjx/XH3/8IYvFolq1aqlLly565ZVXFBgYmO21NWvWVGhoqObMmaOePXtq0qRJWrZsmf744w8FBgbqiSee0JgxY+Tnl74u+i+//KIpU6bohx9+UHR0tBo0aKB//vOfGjx4sMNrk6TExERNnTpVX375pU6fPi1fX1/dd999GjVqlFq1amXb+PC7775TSEhIluuTk5M1a9YsLVmyRIcOHdK1a9dUsWJFtWnTRiNGjFD79u3t/mxv1ahRI/3++++aMGGC3nzzzRz7vfHGG5oyZYpatGihn3/+WZIUExOjNWvWSJJeffVVW/iXwdXVVa+++qoGDBig1atX6/r16ypbtmyea7t4MX0Ext13351te9OmTeXq6qqUlBTFxsZmatuyZYsuXrwowzD02muvZbk2ODhYffv21eeff64FCxaYJgB02BTgo0ePyjAMPf/884R/wC3ucj2Y577uSlD9m9bdK0qGYci1nP9ftQQFE/4BAAAADpaWZtVvB+P0xZxIzfj4or6YE6nfDsYpLa3ol8dKTEzUAw88oDFjxujUqVNyd3dXVFSUVqxYoXvvvVdff/11pv7PPvusLBaLDh48qH379uV434w1/jt16pQl/HvllVf05JNP6ocfflBsbKwsFot2796tAQMGaOTIkXbrHThwoIYPH641a9bo+PHjcnd3V1xcnA4dOqR///vfatq0qX777Te794iJiVHr1q31zjvv6MKFC0pNTVVoaKimTZumzp07KzExUatXr1abNm20fPlyxcfHKzExUQcPHtTTTz+tDz/80OG1Xb9+Xe3bt9ebb76pI0eOKDU1VYmJiVq1apX+9re/ZflzuNX58+d177336oUXXtC2bdt05coVeXl56cKFC1q+fLlCQkIyjZTLi4wwNmO0XXasVqsWLVqUqb8k/fDDD7bpsw8//HC212acT0xM1A8//JCv2mrVqiVJOf4O7t+/XykpKbJYLGrevHmmtq1bt0qS7rzzziy/mxk6deokSdq1a1eWALGkcugagJLUpEkTR90SMI27vI7LRzfy1LeZy8/ysJhnnQGzGD0+yO7XyGdTNch9pga5z9TIZ1Nz7Q8AAIDS6fSpBL0xMkxTJ5/Xlo0x2vXjDW3ZGKOpk8/rjZFhOn0qoUjrmT59ug4cOKA5c+bo+vXrunr1qo4cOaK2bdsqOTlZAwYMUGhoqK1/cHCwbTplTht53rhxwzal89lnn83UtnjxYn3wwQeSpBdeeEGXLl1SdHS0oqKi9Oqrr+r999/X/v37c6z3rrvu0rvvvqujR48qPj5e0dHRSkhI0HfffaeWLVvq0qVL6tevn929BsaNG6eUlBR9//33unHjhm7cuKH//e9/cnV11a5duzR+/HgNHDhQ/fv31/nz53X16lVFREToscfS10R/4403dOXKFYfW9vLLL2v37t3y8PDQzJkzbX8Wp0+fVseOHfX000/n+H4SExPVrVs37d+/X/fff7++++47xcfHKyYmRpcvX9aECRPk5uamt99+W8uWLcvxPrfq16+fDMPQ0aNH9csvv2TbZ+fOnTp79qwsFov69u1rO3/kyBFJUmBgYI676QYEBKhSpUqZ+ufV888/L0maN2+e3n77bdufR0pKir799lv17t1bkvTSSy+pdu3ama7NeK0777wzx/tntFmt1ttao7A4clgAmJGaJiYmOuqWgGl4B/ipp/uXcpP9z0ewcVYPuG6Wq7+5ths3g3oNvOx+1akhBVvCFGwJU50aufcHAABA6XP6VILeeTtcF88nZ9t+8Xyy3nk7vEhDwJiYGM2cOVODBw+Wu7u7JKlhw4Zav369goODFRsbq8mTJ2e65u9//7skadGiRYqPz7r29ZIlS3Tjxg1VqlRJjz76qO281Wq1rb3Ws2dPffbZZwoICJCUvpzY1KlTNXjwYMXExORY7yeffKLXX39dDRo0kOefs5Xc3NwUEhKiDRs2qGLFijp06JC+//77HO9x48YNrVmzRvfff78kyd3dXc8++6wGDhwoSbbprLNmzVLlypUlpYdVCxcuVNmyZRUfH6+1a9c6rLazZ89qzpw5kqSPP/5YQ4cOte2lUKtWLX399dcKDg7O8f3897//1a+//qpWrVrp22+/VUhIiO16f39/vfnmm3r77bclyfa/eVGrVi21adNGUs6jADPOd+jQQVWqVLGdv3DhgiSpatWqdl8jKCgoU/+8GjFihEaOHCnDMDR27FhVqFBBfn5+8vT01EMPPSQXFxdNnz5d06ZNy3JtXmrLqOt2aiuuHBYAZgzd3Lt3r6NuCZhG2bbtFGwJ0yD3z1XDcjpLu7sSda/Lj+rnPlceZTzl3bR5NncBAAAAUFKlpVk189NLSkq0P803KTG9X1FNB65Ro4b69euX5XzZsmX10ksvSUpfr+/mUWvdunVTUFCQYmJitHTp0izXfv7555KkQYMGyc3NzXb+wIEDOnHihKT0UXTZsbfWXG78/f1tgZW9KaW9evVS3bpZ1+Tu2LGj7fhf//pXlnYfHx+1bt1aknTo0CGH1bZixQpZrVZVqlRJQ4YMyXKtu7u7Xn311RzvnTES86WXXspxE9aM6bmHDh2yrZ+XFxnXLV68WGlpmTerTE5Otv3537p2440b6TPgvL297d4/o/369et5rkmSLBaL3n33XU2fPt32nq9du6bU1FRJUmxsrKKiopSSkpLl2rzUdnNbfmsrrhy2Ccg//vEPzZ49W/PmzdOoUaMyJb9AaVfmnla6XHGxKkdd0FPus7XdpaG+V0NJUl2XY+rgsUweRvroQL+OnWT581/eAAAAABQPg/sU3TrdF88na0i/UwW6R143nWvfvr1tc4lbPfDAA5Kk6OhonT171rbumouLi55++mlNnDhRs2bNso2ck9KnV+7atUuS9Mwzz2S6X8YGEX5+flnWZctQp04dBQcH69y5cznWvG3bNn3++efavXu3zp8/r7i4uCx9zp8/n+P1jRs3zvZ8xnRUe30yNvGIjo52WG2//vqrJOm+++6Ti4tLlv6S1K5du2zPX79+3RZGjhgxQv/85z+z7XezsLAw28jG3Dz55JN66aWXdP78eX333Xfq0KGDrW3jxo2KioqSl5eXevTokaf73creVG17IiIi1KNHD/3444/q06ePRo4cqQYNGig6Olpbt27VqFGj9NZbb+mHH37Q2rVrc/y5liYOGwFYr149zZgxQ3FxcercubNOnSrYX1aAmRiurqry0muy/Lmrkbfx10MgwIi0hX8+ze+Rf/fb+4sTAAAAAPLr5qmO9toiIiIytWVsBrJjxw7bqD7pr9Fo999/vxo0aJDpmsjISEl5nxaanZEjR+qBBx7QwoULdfLkSSUmJqp8+fIKDAxUYGCgbeqtvY0bcgq/bg6JcuuTnJx1Gvft1paXn0tObRcvXrSFaJcvX9alS5dy/MqQXSiZkwoVKtjWfLx1GnDG94899liWHXzLlCmTp9fKaM/PDsBS+oYrP/74owYOHKhFixbp7rvvVpkyZRQcHKxBgwZpy5Yt8vDw0MaNG23Tq/NT281/Rvmtrbhy2AjA+fPnS0qfx79kyRI1atRIjzzyiNq0aaOKFSvKYsk9a7z5Xw0As/EIrq7gtybq8vIl0unM/+LjUt5f5Tp2UrnO3WTwLxMAAAAAigF7o7Nq1KihTp06af369Zo9e7amTJmi5ORkffHFF5Kybv7hiNfdtGmT3n//fUnS8OHD9cILL6hBgwaZgrunnnpKCxYssFt7TiMe89vHUbXlZRRcTvVkTHmVpMOHD6tRo0b5qjsv+vfvr2+++UbLly/XZ599Jk9PT924cUOrV6+WJA0YMCDLNRmzQu2NxLy5PT+zSI8cOaKNGzdKUo67Rjds2FCPPPKIVqxYoeXLl2f6faxSpYp+/fVXu7Xd3GaWGa4OCwAHDx5s+4U0DEPJyclatWqVVq1alafrDcMgAITpuVUKVOUX/iHftd9K6c9FlWnZWjV7dSf4AwAAAFDk8hqC3Dw9NsPf//53rV+/XvPmzdOECRO0evVqRUZGytfXV7169crSP2PDj7yGQrdasmSJJKlTp076+OOPs+1z80i3olSQ2jJ+tvY2m8jpZ5IxJVkqvACwe/fuKlu2rK5du6Y1a9aoZ8+eWrlypeLi4lSxYkV16tQpyzUZdVy6dElRUVHZ7gQcGRlpG1man7p///1323GdOnVy7FevXj1J0pkzZ7LUtm7dOh0+fDjHazPaDMPQHXfckefaijOHBYBS1tT6dudyA2Zn8fC0HbtWDCD8AwAAAIq5vK6pl5PfDsZp6mT7wdfNXhtdVXc2tr+BgiNs3749x7Zt27ZJSt+ht2bNmlnau3XrpqpVq+r8+fNat26dbfOPfv36ZbvBQosWLSSl7zx84MABNW3aNEuf06dP57j+X8b5nNYPjI2Nta0/WNQKUlvz5s21YMEC7dy5U6mpqdmuV5fTn1P58uXVsGFD/f7771q6dGm2wWtBZazxN2/ePC1cuFA9e/a0Tf/t3bu3XF2zRkv333+/3NzclJycrI0bN2bZJERKHzUppW9y0rZt2zzXc/MM09DQUDVs2DDbfhmBq6+vb6bzDz74oKZOnarDhw/rjz/+ULVq1bJcmzHCsFWrVvLx8clzbcWZwwLAW+dUAwAAAACAdI3u8lLlqm66eD7r2nG3qlLVTQ3v9CqCqqSzZ89q0aJF6tu3b6bzN27c0H/+8x9J6bvmZjcF1dXVVU8//bQmTZqkyZMna+/evZKybv6RoVmzZqpbt65OnjypyZMn20bN3Wzy5Mk51urn5ycp5x14J02a5LQdWwtS2+OPP66RI0cqIiJCc+fOzfLzS05O1rRp03J87WeeeUYjR47U8uXL9e2332bazfhWV65ckb+/f25vJ4sBAwZo3rx5WrdunY4dO6YtW7bYzmfHz89PjzzyiL7++mtNmzZNffr0yRRspqSk2N5T9+7ds4R09twcsk6fPt32e3qzixcvauXKlZJk27k5Q4cOHRQYGKhLly7pvffe00cffZSp/dy5c1q0aJHd91cSOWwTkEGDBhX4CwAAAAAAM7JYDP19WKDcPeyvLefuYWjosEBZLPlbg+52+fn5aejQoZo/f75tY4ujR4+qa9euCg0Nlbe3t/71r3/leP3QoUNlsVi0e/dupaWlqWnTprrnnnuy7WsYhsaPHy9J+uqrrzR8+HBFRUVJkq5evarXX39ds2bNyjEMyphqunbtWk2ZMsW2iUNkZKRee+01TZkyRRUqVLi9H0QBFaS2WrVq2ZZEGz58uGbNmqXExPSNIs+ePasePXooLCwsx9ceNmyY7r77bqWlpal79+567733Mm3aEh0drdWrV6tXr15Zgt68evDBB1W1alUlJSWpf//+SklJUZ06dbKEazd7++235ebmpl9++UX9+/fXxYsXJaWHcwMGDNAvv/wid3d32+/Ezc6ePSvDMGQYhubOnZuprWbNmuratask6ZNPPtErr7ximyKdkJCgDRs2qF27doqJiZGbm5uGDRuW6Xp3d3eNGzdOkvTxxx/rnXfeUXx8vCTp4MGD6tatm2JjY1WnTp0CrWVZ3DgsAAQAAAAAADmrXcdT/xoTpMpV3bJtr1LVTf8aE6TadTyzbS8ML7zwgpo0aaJBgwapTJkytiml33//vVxdXTV//nzVqlUrx+tr1Kihhx9+2PZ9boFJv379NGLECEnSp59+qsDAQPn7+6tChQp677339Oqrr+Y4jXbgwIFq06a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"
      },
      "metadata": {
       "image/png": {
@@ -436,7 +12902,35 @@
     }
    ],
    "source": [
-    "(ggplot(df, 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\"))"
+    "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"
    ]
   }
  ],
@@ -456,7 +12950,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.12.4"
+   "version": "3.12.5"
   }
  },
  "nbformat": 4,