{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"import matplotlib.pyplot as plt\n",
"import matplotlib.patches as patches\n",
"from pathlib import Path\n",
"import numpy as np\n",
"import os\n",
"import sys\n",
"import glob\n",
"import pandas as pd\n",
"import xml.etree.ElementTree as et\n",
"import datetime\n",
"from skimage.io import imread, imsave\n",
"from imageio import volread as imread\n",
"\n",
"import tifffile\n",
"import pystackreg\n",
"from pystackreg import StackReg\n",
"from skimage.filters import threshold_otsu\n",
"\n",
"from pystackreg.util import to_uint16 # make sure version 0.2.5 (not anything below)\n",
"from ims_to_tiff import convert_to_tif \n",
"from tqdm.notebook import tqdm\n",
"\n",
"import seaborn as sns\n",
"import pylab as pl"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [],
"source": [
"CYCLE_NUMS = 12\n",
"NUM_FOVS = 219"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"for i in range(CYCLE_NUMS):\n",
" if i == 0:\n",
" continue\n",
" os.makedirs(f'tmat_Cyc_{i}')\n",
" os.makedirs(f'reg_bin_Cyc_{i}')\n",
" os.makedirs(f'reg_Cyc_{i}') "
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [],
"source": [
"# jaccard\n",
"def jaccard(img1, img2):\n",
" assert img1.dtype == 'bool', 'input must be boolean'\n",
" assert img2.dtype == 'bool', 'input must be boolean'\n",
" AND = np.sum(img1&img2)\n",
" OR = np.sum(img1|img2)\n",
" J = AND/OR\n",
" return J"
]
},
{
"cell_type": "code",
"execution_count": 19,
"metadata": {},
"outputs": [],
"source": [
"reg_J = pd.DataFrame()\n",
"base_J = pd.DataFrame()"
]
},
{
"cell_type": "code",
"execution_count": 20,
"metadata": {
"scrolled": true
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"cycle 1 field 000 \n",
"Got threshold\n",
"cycle 1 field 001 \n",
"Got threshold\n",
"cycle 1 field 002 \n",
"Got threshold\n",
"cycle 1 field 003 \n",
"Got threshold\n",
"cycle 1 field 004 \n",
"Got threshold\n",
"cycle 1 field 005 \n",
"Got threshold\n",
"cycle 1 field 006 \n",
"Got threshold\n",
"cycle 1 field 007 \n",
"Got threshold\n",
"cycle 1 field 008 \n",
"Got threshold\n",
"cycle 1 field 009 \n",
"Got threshold\n",
"cycle 1 field 010 \n",
"Got threshold\n",
"cycle 1 field 011 \n",
"Got threshold\n",
"cycle 1 field 012 \n",
"Got threshold\n",
"cycle 1 field 013 \n",
"Got threshold\n",
"cycle 1 field 014 \n",
"Got threshold\n",
"cycle 1 field 015 \n",
"Got threshold\n",
"cycle 1 field 016 \n",
"Got threshold\n",
"cycle 1 field 017 \n",
"Got threshold\n",
"cycle 1 field 018 \n",
"Got threshold\n",
"cycle 1 field 019 \n",
"Got threshold\n",
"cycle 1 field 020 \n",
"Got threshold\n",
"cycle 1 field 021 \n",
"Got threshold\n",
"cycle 1 field 023 \n",
"Got threshold\n",
"cycle 1 field 024 \n",
"Got threshold\n",
"cycle 1 field 025 \n",
"Got threshold\n",
"cycle 1 field 026 \n",
"Got threshold\n",
"cycle 1 field 027 \n",
"Got threshold\n",
"cycle 1 field 028 \n",
"Got threshold\n",
"cycle 1 field 029 \n",
"Got threshold\n",
"cycle 1 field 030 \n",
"Got threshold\n",
"cycle 1 field 031 \n",
"Got threshold\n",
"cycle 1 field 033 \n",
"Got threshold\n",
"cycle 1 field 034 \n",
"Got threshold\n",
"cycle 1 field 035 \n",
"Got threshold\n",
"cycle 1 field 037 \n",
"Got threshold\n",
"cycle 1 field 038 \n",
"Got threshold\n",
"cycle 1 field 039 \n",
"Got threshold\n",
"cycle 1 field 040 \n",
"Got threshold\n",
"cycle 1 field 041 \n",
"Got threshold\n",
"cycle 1 field 042 \n",
"Got threshold\n",
"cycle 1 field 043 \n",
"Got threshold\n",
"cycle 1 field 044 \n",
"Got threshold\n",
"cycle 1 field 045 \n",
"Got threshold\n",
"cycle 1 field 046 \n",
"Got threshold\n",
"cycle 1 field 047 \n",
"Got threshold\n",
"cycle 1 field 048 \n",
"Got threshold\n",
"cycle 1 field 049 \n",
"Got threshold\n",
"cycle 1 field 050 \n",
"Got threshold\n",
"cycle 1 field 051 \n",
"Got threshold\n",
"cycle 1 field 052 \n",
"Got threshold\n",
"cycle 1 field 053 \n",
"Got threshold\n",
"cycle 1 field 054 \n",
"Got threshold\n",
"cycle 1 field 055 \n",
"Got threshold\n",
"cycle 1 field 056 \n",
"Got threshold\n",
"cycle 1 field 057 \n",
"Got threshold\n",
"cycle 1 field 058 \n",
"Got threshold\n",
"cycle 1 field 059 \n",
"Got threshold\n",
"cycle 1 field 060 \n",
"Got threshold\n",
"cycle 1 field 061 \n",
"Got threshold\n",
"cycle 1 field 062 \n",
"Got threshold\n",
"cycle 1 field 063 \n",
"Got threshold\n",
"cycle 1 field 064 \n",
"Got threshold\n",
"cycle 1 field 065 \n",
"Got threshold\n",
"cycle 1 field 066 \n",
"Got threshold\n",
"cycle 1 field 067 \n",
"Got threshold\n",
"cycle 1 field 068 \n",
"Got threshold\n",
"cycle 1 field 069 \n",
"Got threshold\n",
"cycle 1 field 070 \n",
"Got threshold\n",
"cycle 1 field 071 \n",
"Got threshold\n",
"cycle 1 field 072 \n",
"Got threshold\n",
"cycle 1 field 073 \n",
"Got threshold\n",
"cycle 1 field 074 \n",
"Got threshold\n",
"cycle 1 field 075 \n",
"Got threshold\n",
"cycle 1 field 076 \n",
"Got threshold\n",
"cycle 1 field 077 \n",
"Got threshold\n",
"cycle 1 field 078 \n",
"Got threshold\n",
"cycle 1 field 079 \n",
"Got threshold\n",
"cycle 1 field 080 \n",
"Got threshold\n",
"cycle 1 field 081 \n",
"Got threshold\n",
"cycle 1 field 082 \n",
"Got threshold\n",
"cycle 1 field 083 \n",
"Got threshold\n",
"cycle 1 field 084 \n",
"Got threshold\n",
"cycle 1 field 085 \n",
"Got threshold\n",
"cycle 1 field 086 \n",
"Got threshold\n",
"cycle 1 field 087 \n",
"Got threshold\n",
"cycle 1 field 088 \n",
"Got threshold\n",
"cycle 1 field 089 \n",
"Got threshold\n",
"cycle 1 field 090 \n",
"Got threshold\n",
"cycle 1 field 091 \n",
"Got threshold\n",
"cycle 1 field 092 \n",
"Got threshold\n",
"cycle 1 field 093 \n",
"Got threshold\n",
"cycle 1 field 094 \n",
"Got threshold\n",
"cycle 1 field 095 \n",
"Got threshold\n",
"cycle 1 field 096 \n",
"Got threshold\n",
"cycle 1 field 097 \n",
"Got threshold\n",
"cycle 1 field 098 \n",
"Got threshold\n",
"cycle 1 field 099 \n",
"Got threshold\n",
"cycle 1 field 100 \n",
"Got threshold\n",
"cycle 1 field 101 \n",
"Got threshold\n",
"cycle 1 field 102 \n",
"Got threshold\n",
"cycle 1 field 103 \n",
"Got threshold\n",
"cycle 1 field 104 \n",
"Got threshold\n",
"cycle 1 field 105 \n",
"Got threshold\n",
"cycle 1 field 106 \n",
"Got threshold\n",
"cycle 1 field 107 \n",
"Got threshold\n",
"cycle 1 field 108 \n",
"Got threshold\n",
"cycle 1 field 109 \n",
"Got threshold\n",
"cycle 1 field 110 \n",
"Got threshold\n",
"cycle 1 field 111 \n",
"Got threshold\n",
"cycle 1 field 112 \n",
"Got threshold\n",
"cycle 1 field 113 \n",
"Got threshold\n",
"cycle 1 field 114 \n",
"Got threshold\n",
"cycle 1 field 115 \n",
"Got threshold\n",
"cycle 1 field 116 \n",
"Got threshold\n",
"cycle 1 field 117 \n",
"Got threshold\n",
"cycle 1 field 118 \n",
"Got threshold\n",
"cycle 1 field 119 \n",
"Got threshold\n",
"cycle 1 field 120 \n",
"Got threshold\n",
"cycle 1 field 121 \n",
"Got threshold\n",
"cycle 1 field 122 \n",
"Got threshold\n",
"cycle 1 field 123 \n",
"Got threshold\n",
"cycle 1 field 124 \n",
"Got threshold\n",
"cycle 1 field 125 \n",
"Got threshold\n",
"cycle 1 field 126 \n",
"Got threshold\n",
"cycle 1 field 127 \n",
"Got threshold\n",
"cycle 1 field 128 \n",
"Got threshold\n",
"cycle 1 field 129 \n",
"Got threshold\n",
"cycle 1 field 131 \n",
"Got threshold\n",
"cycle 1 field 132 \n",
"Got threshold\n",
"cycle 1 field 133 \n",
"Got threshold\n",
"cycle 1 field 134 \n",
"Got threshold\n",
"cycle 1 field 135 \n",
"Got threshold\n",
"cycle 1 field 136 \n",
"Got threshold\n",
"cycle 1 field 137 \n",
"Got threshold\n",
"cycle 1 field 138 \n",
"Got threshold\n",
"cycle 1 field 140 \n",
"Got threshold\n",
"cycle 1 field 141 \n",
"Got threshold\n",
"cycle 1 field 142 \n",
"Got threshold\n",
"cycle 1 field 143 \n",
"Got threshold\n",
"cycle 1 field 144 \n",
"Got threshold\n",
"cycle 1 field 145 \n",
"Got threshold\n",
"cycle 1 field 146 \n",
"Got threshold\n",
"cycle 1 field 147 \n",
"Got threshold\n",
"cycle 1 field 148 \n",
"Got threshold\n",
"cycle 1 field 149 \n",
"Got threshold\n",
"cycle 1 field 150 \n",
"Got threshold\n",
"cycle 1 field 151 \n",
"Got threshold\n",
"cycle 1 field 152 \n",
"Got threshold\n",
"cycle 1 field 153 \n",
"Got threshold\n",
"cycle 1 field 154 \n",
"Got threshold\n",
"cycle 1 field 155 \n",
"Got threshold\n",
"cycle 1 field 156 \n",
"Got threshold\n",
"cycle 1 field 158 \n",
"Got threshold\n",
"cycle 1 field 159 \n",
"Got threshold\n",
"cycle 1 field 160 \n",
"Got threshold\n",
"cycle 1 field 161 \n",
"Got threshold\n",
"cycle 1 field 162 \n",
"Got threshold\n",
"cycle 1 field 163 \n",
"Got threshold\n",
"cycle 1 field 164 \n",
"Got threshold\n",
"cycle 1 field 165 \n",
"Got threshold\n",
"cycle 1 field 166 \n",
"Got threshold\n",
"cycle 1 field 167 \n",
"Got threshold\n",
"cycle 1 field 168 \n",
"Got threshold\n",
"cycle 1 field 169 \n",
"Got threshold\n",
"cycle 1 field 170 \n",
"Got threshold\n",
"cycle 1 field 171 \n",
"Got threshold\n",
"cycle 1 field 172 \n",
"Got threshold\n",
"cycle 1 field 173 \n",
"Got threshold\n",
"cycle 1 field 174 \n",
"Got threshold\n",
"cycle 1 field 175 \n",
"Got threshold\n",
"cycle 1 field 176 \n",
"Got threshold\n",
"cycle 1 field 177 \n",
"Got threshold\n",
"cycle 1 field 178 \n",
"Got threshold\n",
"cycle 1 field 179 \n",
"Got threshold\n",
"cycle 1 field 180 \n",
"Got threshold\n",
"cycle 1 field 181 \n",
"Got threshold\n",
"cycle 1 field 182 \n",
"Got threshold\n",
"cycle 1 field 183 \n",
"Got threshold\n",
"cycle 1 field 184 \n",
"Got threshold\n",
"cycle 1 field 185 \n",
"Got threshold\n",
"cycle 1 field 186 \n",
"Got threshold\n",
"cycle 1 field 187 \n",
"Got threshold\n",
"cycle 1 field 188 \n",
"Got threshold\n",
"cycle 1 field 189 \n",
"Got threshold\n",
"cycle 1 field 190 \n",
"Got threshold\n",
"cycle 1 field 191 \n",
"Got threshold\n",
"cycle 1 field 192 \n",
"Got threshold\n",
"cycle 1 field 193 \n",
"Got threshold\n",
"cycle 1 field 194 \n",
"Got threshold\n",
"cycle 1 field 195 \n",
"Got threshold\n",
"cycle 1 field 196 \n",
"Got threshold\n",
"cycle 1 field 197 \n",
"Got threshold\n",
"cycle 1 field 198 \n",
"Got threshold\n",
"cycle 1 field 199 \n",
"Got threshold\n",
"cycle 1 field 200 \n",
"Got threshold\n",
"cycle 1 field 201 \n",
"Got threshold\n",
"cycle 1 field 202 \n",
"Got threshold\n",
"cycle 1 field 203 \n",
"Got threshold\n",
"cycle 1 field 204 \n",
"Got threshold\n",
"cycle 1 field 205 \n",
"Got threshold\n",
"cycle 1 field 206 \n",
"Got threshold\n",
"cycle 1 field 207 \n",
"Got threshold\n",
"cycle 1 field 208 \n",
"Got threshold\n",
"cycle 1 field 209 \n",
"Got threshold\n",
"cycle 1 field 210 \n",
"Got threshold\n",
"cycle 1 field 211 \n",
"Got threshold\n",
"cycle 1 field 212 \n",
"Got threshold\n",
"cycle 1 field 213 \n",
"Got threshold\n",
"cycle 1 field 214 \n",
"Got threshold\n",
"cycle 1 field 215 \n",
"Got threshold\n",
"cycle 1 field 216 \n",
"Got threshold\n",
"cycle 1 field 217 \n",
"Got threshold\n",
"cycle 1 field 218 \n",
"Got threshold\n",
"cycle 1 field 219 \n",
"Got threshold\n",
"cycle 1 field 220 \n",
"Got threshold\n",
"cycle 1 field 221 \n",
"Got threshold\n",
"cycle 1 field 222 \n",
"Got threshold\n",
"cycle 1 field 223 \n",
"Got threshold\n",
"cycle 1 field 224 \n",
"Got threshold\n",
"cycle 2 field 000 \n",
"Got threshold\n",
"cycle 2 field 001 \n",
"Got threshold\n",
"cycle 2 field 002 \n",
"Got threshold\n",
"cycle 2 field 003 \n",
"Got threshold\n",
"cycle 2 field 004 \n",
"Got threshold\n",
"cycle 2 field 005 \n",
"Got threshold\n",
"cycle 2 field 006 \n",
"Got threshold\n",
"cycle 2 field 007 \n",
"Got threshold\n",
"cycle 2 field 008 \n",
"Got threshold\n",
"cycle 2 field 009 \n",
"Got threshold\n",
"cycle 2 field 010 \n",
"Got threshold\n",
"cycle 2 field 011 \n",
"Got threshold\n",
"cycle 2 field 012 \n",
"Got threshold\n",
"cycle 2 field 013 \n",
"Got threshold\n",
"cycle 2 field 014 \n",
"Got threshold\n",
"cycle 2 field 015 \n",
"Got threshold\n",
"cycle 2 field 016 \n",
"Got threshold\n",
"cycle 2 field 017 \n",
"Got threshold\n",
"cycle 2 field 018 \n",
"Got threshold\n",
"cycle 2 field 019 \n",
"Got threshold\n",
"cycle 2 field 020 \n",
"Got threshold\n",
"cycle 2 field 021 \n",
"Got threshold\n",
"cycle 2 field 023 \n",
"Got threshold\n",
"cycle 2 field 024 \n",
"Got threshold\n",
"cycle 2 field 025 \n",
"Got threshold\n",
"cycle 2 field 026 \n",
"Got threshold\n",
"cycle 2 field 027 \n",
"Got threshold\n",
"cycle 2 field 028 \n",
"Got threshold\n",
"cycle 2 field 029 \n",
"Got threshold\n",
"cycle 2 field 030 \n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Got threshold\n",
"cycle 2 field 031 \n",
"Got threshold\n",
"cycle 2 field 033 \n",
"Got threshold\n",
"cycle 2 field 034 \n",
"Got threshold\n",
"cycle 2 field 035 \n",
"Got threshold\n",
"cycle 2 field 037 \n",
"Got threshold\n",
"cycle 2 field 038 \n",
"Got threshold\n",
"cycle 2 field 039 \n",
"Got threshold\n",
"cycle 2 field 040 \n",
"Got threshold\n",
"cycle 2 field 041 \n",
"Got threshold\n",
"cycle 2 field 042 \n",
"Got threshold\n",
"cycle 2 field 043 \n",
"Got threshold\n",
"cycle 2 field 044 \n",
"Got threshold\n",
"cycle 2 field 045 \n",
"Got threshold\n",
"cycle 2 field 046 \n",
"Got threshold\n",
"cycle 2 field 047 \n",
"Got threshold\n",
"cycle 2 field 048 \n",
"Got threshold\n",
"cycle 2 field 049 \n",
"Got threshold\n",
"cycle 2 field 050 \n",
"Got threshold\n",
"cycle 2 field 051 \n",
"Got threshold\n",
"cycle 2 field 052 \n",
"Got threshold\n",
"cycle 2 field 053 \n",
"Got threshold\n",
"cycle 2 field 054 \n",
"Got threshold\n",
"cycle 2 field 055 \n",
"Got threshold\n",
"cycle 2 field 056 \n",
"Got threshold\n",
"cycle 2 field 057 \n",
"Got threshold\n",
"cycle 2 field 058 \n",
"Got threshold\n",
"cycle 2 field 059 \n",
"Got threshold\n",
"cycle 2 field 060 \n",
"Got threshold\n",
"cycle 2 field 061 \n",
"Got threshold\n",
"cycle 2 field 062 \n",
"Got threshold\n",
"cycle 2 field 063 \n",
"Got threshold\n",
"cycle 2 field 064 \n",
"Got threshold\n",
"cycle 2 field 065 \n",
"Got threshold\n",
"cycle 2 field 066 \n",
"Got threshold\n",
"cycle 2 field 067 \n",
"Got threshold\n",
"cycle 2 field 068 \n",
"Got threshold\n",
"cycle 2 field 069 \n",
"Got threshold\n",
"cycle 2 field 070 \n",
"Got threshold\n",
"cycle 2 field 071 \n",
"Got threshold\n",
"cycle 2 field 072 \n",
"Got threshold\n",
"cycle 2 field 073 \n",
"Got threshold\n",
"cycle 2 field 074 \n",
"Got threshold\n",
"cycle 2 field 075 \n",
"Got threshold\n",
"cycle 2 field 076 \n",
"Got threshold\n",
"cycle 2 field 077 \n",
"Got threshold\n",
"cycle 2 field 078 \n",
"Got threshold\n",
"cycle 2 field 079 \n",
"Got threshold\n",
"cycle 2 field 080 \n",
"Got threshold\n",
"cycle 2 field 081 \n",
"Got threshold\n",
"cycle 2 field 082 \n",
"Got threshold\n",
"cycle 2 field 083 \n",
"Got threshold\n",
"cycle 2 field 084 \n",
"Got threshold\n",
"cycle 2 field 085 \n",
"Got threshold\n",
"cycle 2 field 086 \n",
"Got threshold\n",
"cycle 2 field 087 \n",
"Got threshold\n",
"cycle 2 field 088 \n",
"Got threshold\n",
"cycle 2 field 089 \n",
"Got threshold\n",
"cycle 2 field 090 \n",
"Got threshold\n",
"cycle 2 field 091 \n",
"Got threshold\n",
"cycle 2 field 092 \n",
"Got threshold\n",
"cycle 2 field 093 \n",
"Got threshold\n",
"cycle 2 field 094 \n",
"Got threshold\n",
"cycle 2 field 095 \n",
"Got threshold\n",
"cycle 2 field 096 \n",
"Got threshold\n",
"cycle 2 field 097 \n",
"Got threshold\n",
"cycle 2 field 098 \n",
"Got threshold\n",
"cycle 2 field 099 \n",
"Got threshold\n",
"cycle 2 field 100 \n",
"Got threshold\n",
"cycle 2 field 101 \n",
"Got threshold\n",
"cycle 2 field 102 \n",
"Got threshold\n",
"cycle 2 field 103 \n",
"Got threshold\n",
"cycle 2 field 104 \n",
"Got threshold\n",
"cycle 2 field 105 \n",
"Got threshold\n",
"cycle 2 field 106 \n",
"Got threshold\n",
"cycle 2 field 107 \n",
"Got threshold\n",
"cycle 2 field 108 \n",
"Got threshold\n",
"cycle 2 field 109 \n",
"Got threshold\n",
"cycle 2 field 110 \n",
"Got threshold\n",
"cycle 2 field 111 \n",
"Got threshold\n",
"cycle 2 field 112 \n",
"Got threshold\n",
"cycle 2 field 113 \n",
"Got threshold\n",
"cycle 2 field 114 \n",
"Got threshold\n",
"cycle 2 field 115 \n",
"Got threshold\n",
"cycle 2 field 116 \n",
"Got threshold\n",
"cycle 2 field 117 \n",
"Got threshold\n",
"cycle 2 field 118 \n",
"Got threshold\n",
"cycle 2 field 119 \n",
"Got threshold\n",
"cycle 2 field 120 \n",
"Got threshold\n",
"cycle 2 field 121 \n",
"Got threshold\n",
"cycle 2 field 122 \n",
"Got threshold\n",
"cycle 2 field 123 \n",
"Got threshold\n",
"cycle 2 field 124 \n",
"Got threshold\n",
"cycle 2 field 125 \n",
"Got threshold\n",
"cycle 2 field 126 \n",
"Got threshold\n",
"cycle 2 field 127 \n",
"Got threshold\n",
"cycle 2 field 128 \n",
"Got threshold\n",
"cycle 2 field 129 \n",
"Got threshold\n",
"cycle 2 field 131 \n",
"Got threshold\n",
"cycle 2 field 132 \n",
"Got threshold\n",
"cycle 2 field 133 \n",
"Got threshold\n",
"cycle 2 field 134 \n",
"Got threshold\n",
"cycle 2 field 135 \n",
"Got threshold\n",
"cycle 2 field 136 \n",
"Got threshold\n",
"cycle 2 field 137 \n",
"Got threshold\n",
"cycle 2 field 138 \n",
"Got threshold\n",
"cycle 2 field 140 \n",
"Got threshold\n",
"cycle 2 field 141 \n",
"Got threshold\n",
"cycle 2 field 142 \n",
"Got threshold\n",
"cycle 2 field 143 \n",
"Got threshold\n",
"cycle 2 field 144 \n",
"Got threshold\n",
"cycle 2 field 145 \n",
"Got threshold\n",
"cycle 2 field 146 \n",
"Got threshold\n",
"cycle 2 field 147 \n",
"Got threshold\n",
"cycle 2 field 148 \n",
"Got threshold\n",
"cycle 2 field 149 \n",
"Got threshold\n",
"cycle 2 field 150 \n",
"Got threshold\n",
"cycle 2 field 151 \n",
"Got threshold\n",
"cycle 2 field 152 \n",
"Got threshold\n",
"cycle 2 field 153 \n",
"Got threshold\n",
"cycle 2 field 154 \n",
"Got threshold\n",
"cycle 2 field 155 \n",
"Got threshold\n",
"cycle 2 field 156 \n",
"Got threshold\n",
"cycle 2 field 158 \n",
"Got threshold\n",
"cycle 2 field 159 \n",
"Got threshold\n",
"cycle 2 field 160 \n",
"Got threshold\n",
"cycle 2 field 161 \n",
"Got threshold\n",
"cycle 2 field 162 \n",
"Got threshold\n",
"cycle 2 field 163 \n",
"Got threshold\n",
"cycle 2 field 164 \n",
"Got threshold\n",
"cycle 2 field 165 \n",
"Got threshold\n",
"cycle 2 field 166 \n",
"Got threshold\n",
"cycle 2 field 167 \n",
"Got threshold\n",
"cycle 2 field 168 \n",
"Got threshold\n",
"cycle 2 field 169 \n",
"Got threshold\n",
"cycle 2 field 170 \n",
"Got threshold\n",
"cycle 2 field 171 \n",
"Got threshold\n",
"cycle 2 field 172 \n",
"Got threshold\n",
"cycle 2 field 173 \n",
"Got threshold\n",
"cycle 2 field 174 \n",
"Got threshold\n",
"cycle 2 field 175 \n",
"Got threshold\n",
"cycle 2 field 176 \n",
"Got threshold\n",
"cycle 2 field 177 \n",
"Got threshold\n",
"cycle 2 field 178 \n",
"Got threshold\n",
"cycle 2 field 179 \n",
"Got threshold\n",
"cycle 2 field 180 \n",
"Got threshold\n",
"cycle 2 field 181 \n",
"Got threshold\n",
"cycle 2 field 182 \n",
"Got threshold\n",
"cycle 2 field 183 \n",
"Got threshold\n",
"cycle 2 field 184 \n",
"Got threshold\n",
"cycle 2 field 185 \n",
"Got threshold\n",
"cycle 2 field 186 \n",
"Got threshold\n",
"cycle 2 field 187 \n",
"Got threshold\n",
"cycle 2 field 188 \n",
"Got threshold\n",
"cycle 2 field 189 \n",
"Got threshold\n",
"cycle 2 field 190 \n",
"Got threshold\n",
"cycle 2 field 191 \n",
"Got threshold\n",
"cycle 2 field 192 \n",
"Got threshold\n",
"cycle 2 field 193 \n",
"Got threshold\n",
"cycle 2 field 194 \n",
"Got threshold\n",
"cycle 2 field 195 \n",
"Got threshold\n",
"cycle 2 field 196 \n",
"Got threshold\n",
"cycle 2 field 197 \n",
"Got threshold\n",
"cycle 2 field 198 \n",
"Got threshold\n",
"cycle 2 field 199 \n",
"Got threshold\n",
"cycle 2 field 200 \n",
"Got threshold\n",
"cycle 2 field 201 \n",
"Got threshold\n",
"cycle 2 field 202 \n",
"Got threshold\n",
"cycle 2 field 203 \n",
"Got threshold\n",
"cycle 2 field 204 \n",
"Got threshold\n",
"cycle 2 field 205 \n",
"Got threshold\n",
"cycle 2 field 206 \n",
"Got threshold\n",
"cycle 2 field 207 \n",
"Got threshold\n",
"cycle 2 field 208 \n",
"Got threshold\n",
"cycle 2 field 209 \n",
"Got threshold\n",
"cycle 2 field 210 \n",
"Got threshold\n",
"cycle 2 field 211 \n",
"Got threshold\n",
"cycle 2 field 212 \n",
"Got threshold\n",
"cycle 2 field 213 \n",
"Got threshold\n",
"cycle 2 field 214 \n",
"Got threshold\n",
"cycle 2 field 215 \n",
"Got threshold\n",
"cycle 2 field 216 \n",
"Got threshold\n",
"cycle 2 field 217 \n",
"Got threshold\n",
"cycle 2 field 218 \n",
"Got threshold\n",
"cycle 2 field 219 \n",
"Got threshold\n",
"cycle 2 field 220 \n",
"Got threshold\n",
"cycle 2 field 221 \n",
"Got threshold\n",
"cycle 2 field 222 \n",
"Got threshold\n",
"cycle 2 field 223 \n",
"Got threshold\n",
"cycle 2 field 224 \n",
"Got threshold\n",
"cycle 3 field 000 \n",
"Got threshold\n",
"cycle 3 field 001 \n",
"Got threshold\n",
"cycle 3 field 002 \n",
"Got threshold\n",
"cycle 3 field 003 \n",
"Got threshold\n",
"cycle 3 field 004 \n",
"Got threshold\n",
"cycle 3 field 005 \n",
"Got threshold\n",
"cycle 3 field 006 \n",
"Got threshold\n",
"cycle 3 field 007 \n",
"Got threshold\n",
"cycle 3 field 008 \n",
"Got threshold\n",
"cycle 3 field 009 \n",
"Got threshold\n",
"cycle 3 field 010 \n",
"Got threshold\n",
"cycle 3 field 011 \n",
"Got threshold\n",
"cycle 3 field 012 \n",
"Got threshold\n",
"cycle 3 field 013 \n",
"Got threshold\n",
"cycle 3 field 014 \n",
"Got threshold\n",
"cycle 3 field 015 \n",
"Got threshold\n",
"cycle 3 field 016 \n",
"Got threshold\n",
"cycle 3 field 017 \n",
"Got threshold\n",
"cycle 3 field 018 \n",
"Got threshold\n",
"cycle 3 field 019 \n",
"Got threshold\n",
"cycle 3 field 020 \n",
"Got threshold\n",
"cycle 3 field 021 \n",
"Got threshold\n",
"cycle 3 field 023 \n",
"Got threshold\n",
"cycle 3 field 024 \n",
"Got threshold\n",
"cycle 3 field 025 \n",
"Got threshold\n",
"cycle 3 field 026 \n",
"Got threshold\n",
"cycle 3 field 027 \n",
"Got threshold\n",
"cycle 3 field 028 \n",
"Got threshold\n",
"cycle 3 field 029 \n",
"Got threshold\n",
"cycle 3 field 030 \n",
"Got threshold\n",
"cycle 3 field 031 \n",
"Got threshold\n",
"cycle 3 field 033 \n",
"Got threshold\n",
"cycle 3 field 034 \n",
"Got threshold\n",
"cycle 3 field 035 \n",
"Got threshold\n",
"cycle 3 field 037 \n",
"Got threshold\n",
"cycle 3 field 038 \n",
"Got threshold\n",
"cycle 3 field 039 \n",
"Got threshold\n",
"cycle 3 field 040 \n",
"Got threshold\n",
"cycle 3 field 041 \n",
"Got threshold\n",
"cycle 3 field 042 \n",
"Got threshold\n",
"cycle 3 field 043 \n",
"Got threshold\n",
"cycle 3 field 044 \n",
"Got threshold\n",
"cycle 3 field 045 \n",
"Got threshold\n",
"cycle 3 field 046 \n",
"Got threshold\n",
"cycle 3 field 047 \n",
"Got threshold\n",
"cycle 3 field 048 \n",
"Got threshold\n",
"cycle 3 field 049 \n",
"Got threshold\n",
"cycle 3 field 050 \n",
"Got threshold\n",
"cycle 3 field 051 \n",
"Got threshold\n",
"cycle 3 field 052 \n",
"Got threshold\n",
"cycle 3 field 053 \n",
"Got threshold\n",
"cycle 3 field 054 \n",
"Got threshold\n",
"cycle 3 field 055 \n",
"Got threshold\n",
"cycle 3 field 056 \n",
"Got threshold\n",
"cycle 3 field 057 \n",
"Got threshold\n",
"cycle 3 field 058 \n",
"Got threshold\n",
"cycle 3 field 059 \n",
"Got threshold\n",
"cycle 3 field 060 \n",
"Got threshold\n",
"cycle 3 field 061 \n",
"Got threshold\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"cycle 3 field 062 \n",
"Got threshold\n",
"cycle 3 field 063 \n",
"Got threshold\n",
"cycle 3 field 064 \n",
"Got threshold\n",
"cycle 3 field 065 \n",
"Got threshold\n",
"cycle 3 field 066 \n",
"Got threshold\n",
"cycle 3 field 067 \n",
"Got threshold\n",
"cycle 3 field 068 \n",
"Got threshold\n",
"cycle 3 field 069 \n",
"Got threshold\n",
"cycle 3 field 070 \n",
"Got threshold\n",
"cycle 3 field 071 \n",
"Got threshold\n",
"cycle 3 field 072 \n",
"Got threshold\n",
"cycle 3 field 073 \n",
"Got threshold\n",
"cycle 3 field 074 \n",
"Got threshold\n",
"cycle 3 field 075 \n",
"Got threshold\n",
"cycle 3 field 076 \n",
"Got threshold\n",
"cycle 3 field 077 \n",
"Got threshold\n",
"cycle 3 field 078 \n",
"Got threshold\n",
"cycle 3 field 079 \n",
"Got threshold\n",
"cycle 3 field 080 \n",
"Got threshold\n",
"cycle 3 field 081 \n",
"Got threshold\n",
"cycle 3 field 082 \n",
"Got threshold\n",
"cycle 3 field 083 \n",
"Got threshold\n",
"cycle 3 field 084 \n",
"Got threshold\n",
"cycle 3 field 085 \n",
"Got threshold\n",
"cycle 3 field 086 \n",
"Got threshold\n",
"cycle 3 field 087 \n",
"Got threshold\n",
"cycle 3 field 088 \n",
"Got threshold\n",
"cycle 3 field 089 \n",
"Got threshold\n",
"cycle 3 field 090 \n",
"Got threshold\n",
"cycle 3 field 091 \n",
"Got threshold\n",
"cycle 3 field 092 \n",
"Got threshold\n",
"cycle 3 field 093 \n",
"Got threshold\n",
"cycle 3 field 094 \n",
"Got threshold\n",
"cycle 3 field 095 \n",
"Got threshold\n",
"cycle 3 field 096 \n",
"Got threshold\n",
"cycle 3 field 097 \n",
"Got threshold\n",
"cycle 3 field 098 \n",
"Got threshold\n",
"cycle 3 field 099 \n",
"Got threshold\n",
"cycle 3 field 100 \n",
"Got threshold\n",
"cycle 3 field 101 \n",
"Got threshold\n",
"cycle 3 field 102 \n",
"Got threshold\n",
"cycle 3 field 103 \n",
"Got threshold\n",
"cycle 3 field 104 \n",
"Got threshold\n",
"cycle 3 field 105 \n",
"Got threshold\n",
"cycle 3 field 106 \n",
"Got threshold\n",
"cycle 3 field 107 \n",
"Got threshold\n",
"cycle 3 field 108 \n",
"Got threshold\n",
"cycle 3 field 109 \n",
"Got threshold\n",
"cycle 3 field 110 \n",
"Got threshold\n",
"cycle 3 field 111 \n",
"Got threshold\n",
"cycle 3 field 112 \n",
"Got threshold\n",
"cycle 3 field 113 \n",
"Got threshold\n",
"cycle 3 field 114 \n",
"Got threshold\n",
"cycle 3 field 115 \n",
"Got threshold\n",
"cycle 3 field 116 \n",
"Got threshold\n",
"cycle 3 field 117 \n",
"Got threshold\n",
"cycle 3 field 118 \n",
"Got threshold\n",
"cycle 3 field 119 \n",
"Got threshold\n",
"cycle 3 field 120 \n",
"Got threshold\n",
"cycle 3 field 121 \n",
"Got threshold\n",
"cycle 3 field 122 \n",
"Got threshold\n",
"cycle 3 field 123 \n",
"Got threshold\n",
"cycle 3 field 124 \n",
"Got threshold\n",
"cycle 3 field 125 \n",
"Got threshold\n",
"cycle 3 field 126 \n",
"Got threshold\n",
"cycle 3 field 127 \n",
"Got threshold\n",
"cycle 3 field 128 \n",
"Got threshold\n",
"cycle 3 field 129 \n",
"Got threshold\n",
"cycle 3 field 131 \n",
"Got threshold\n",
"cycle 3 field 132 \n",
"Got threshold\n",
"cycle 3 field 133 \n",
"Got threshold\n",
"cycle 3 field 134 \n",
"Got threshold\n",
"cycle 3 field 135 \n",
"Got threshold\n",
"cycle 3 field 136 \n",
"Got threshold\n",
"cycle 3 field 137 \n",
"Got threshold\n",
"cycle 3 field 138 \n",
"Got threshold\n",
"cycle 3 field 140 \n",
"Got threshold\n",
"cycle 3 field 141 \n",
"Got threshold\n",
"cycle 3 field 142 \n",
"Got threshold\n",
"cycle 3 field 143 \n",
"Got threshold\n",
"cycle 3 field 144 \n",
"Got threshold\n",
"cycle 3 field 145 \n",
"Got threshold\n",
"cycle 3 field 146 \n",
"Got threshold\n",
"cycle 3 field 147 \n",
"Got threshold\n",
"cycle 3 field 148 \n",
"Got threshold\n",
"cycle 3 field 149 \n",
"Got threshold\n",
"cycle 3 field 150 \n",
"Got threshold\n",
"cycle 3 field 151 \n",
"Got threshold\n",
"cycle 3 field 152 \n",
"Got threshold\n",
"cycle 3 field 153 \n",
"Got threshold\n",
"cycle 3 field 154 \n",
"Got threshold\n",
"cycle 3 field 155 \n",
"Got threshold\n",
"cycle 3 field 156 \n",
"Got threshold\n",
"cycle 3 field 158 \n",
"Got threshold\n",
"cycle 3 field 159 \n",
"Got threshold\n",
"cycle 3 field 160 \n",
"Got threshold\n",
"cycle 3 field 161 \n",
"Got threshold\n",
"cycle 3 field 162 \n",
"Got threshold\n",
"cycle 3 field 163 \n",
"Got threshold\n",
"cycle 3 field 164 \n",
"Got threshold\n",
"cycle 3 field 165 \n",
"Got threshold\n",
"cycle 3 field 166 \n",
"Got threshold\n",
"cycle 3 field 167 \n",
"Got threshold\n",
"cycle 3 field 168 \n",
"Got threshold\n",
"cycle 3 field 169 \n",
"Got threshold\n",
"cycle 3 field 170 \n",
"Got threshold\n",
"cycle 3 field 171 \n",
"Got threshold\n",
"cycle 3 field 172 \n",
"Got threshold\n",
"cycle 3 field 173 \n",
"Got threshold\n",
"cycle 3 field 174 \n",
"Got threshold\n",
"cycle 3 field 175 \n",
"Got threshold\n",
"cycle 3 field 176 \n",
"Got threshold\n",
"cycle 3 field 177 \n",
"Got threshold\n",
"cycle 3 field 178 \n",
"Got threshold\n",
"cycle 3 field 179 \n",
"Got threshold\n",
"cycle 3 field 180 \n",
"Got threshold\n",
"cycle 3 field 181 \n",
"Got threshold\n",
"cycle 3 field 182 \n",
"Got threshold\n",
"cycle 3 field 183 \n",
"Got threshold\n",
"cycle 3 field 184 \n",
"Got threshold\n",
"cycle 3 field 185 \n",
"Got threshold\n",
"cycle 3 field 186 \n",
"Got threshold\n",
"cycle 3 field 187 \n",
"Got threshold\n",
"cycle 3 field 188 \n",
"Got threshold\n",
"cycle 3 field 189 \n",
"Got threshold\n",
"cycle 3 field 190 \n",
"Got threshold\n",
"cycle 3 field 191 \n",
"Got threshold\n",
"cycle 3 field 192 \n",
"Got threshold\n",
"cycle 3 field 193 \n",
"Got threshold\n",
"cycle 3 field 194 \n",
"Got threshold\n",
"cycle 3 field 195 \n",
"Got threshold\n",
"cycle 3 field 196 \n",
"Got threshold\n",
"cycle 3 field 197 \n",
"Got threshold\n",
"cycle 3 field 198 \n",
"Got threshold\n",
"cycle 3 field 199 \n",
"Got threshold\n",
"cycle 3 field 200 \n",
"Got threshold\n",
"cycle 3 field 201 \n",
"Got threshold\n",
"cycle 3 field 202 \n",
"Got threshold\n",
"cycle 3 field 203 \n",
"Got threshold\n",
"cycle 3 field 204 \n",
"Got threshold\n",
"cycle 3 field 205 \n",
"Got threshold\n",
"cycle 3 field 206 \n",
"Got threshold\n",
"cycle 3 field 207 \n",
"Got threshold\n",
"cycle 3 field 208 \n",
"Got threshold\n",
"cycle 3 field 209 \n",
"Got threshold\n",
"cycle 3 field 210 \n",
"Got threshold\n",
"cycle 3 field 211 \n",
"Got threshold\n",
"cycle 3 field 212 \n",
"Got threshold\n",
"cycle 3 field 213 \n",
"Got threshold\n",
"cycle 3 field 214 \n",
"Got threshold\n",
"cycle 3 field 215 \n",
"Got threshold\n",
"cycle 3 field 216 \n",
"Got threshold\n",
"cycle 3 field 217 \n",
"Got threshold\n",
"cycle 3 field 218 \n",
"Got threshold\n",
"cycle 3 field 219 \n",
"Got threshold\n",
"cycle 3 field 220 \n",
"Got threshold\n",
"cycle 3 field 221 \n",
"Got threshold\n",
"cycle 3 field 222 \n",
"Got threshold\n",
"cycle 3 field 223 \n",
"Got threshold\n",
"cycle 3 field 224 \n",
"Got threshold\n",
"cycle 4 field 000 \n",
"Got threshold\n",
"cycle 4 field 001 \n",
"Got threshold\n",
"cycle 4 field 002 \n",
"Got threshold\n",
"cycle 4 field 003 \n",
"Got threshold\n",
"cycle 4 field 004 \n",
"Got threshold\n",
"cycle 4 field 005 \n",
"Got threshold\n",
"cycle 4 field 006 \n",
"Got threshold\n",
"cycle 4 field 007 \n",
"Got threshold\n",
"cycle 4 field 008 \n",
"Got threshold\n",
"cycle 4 field 009 \n",
"Got threshold\n",
"cycle 4 field 010 \n",
"Got threshold\n",
"cycle 4 field 011 \n",
"Got threshold\n",
"cycle 4 field 012 \n",
"Got threshold\n",
"cycle 4 field 013 \n",
"Got threshold\n",
"cycle 4 field 014 \n",
"Got threshold\n",
"cycle 4 field 015 \n",
"Got threshold\n",
"cycle 4 field 016 \n",
"Got threshold\n",
"cycle 4 field 017 \n",
"Got threshold\n",
"cycle 4 field 018 \n",
"Got threshold\n",
"cycle 4 field 019 \n",
"Got threshold\n",
"cycle 4 field 020 \n",
"Got threshold\n",
"cycle 4 field 021 \n",
"Got threshold\n",
"cycle 4 field 023 \n",
"Got threshold\n",
"cycle 4 field 024 \n",
"Got threshold\n",
"cycle 4 field 025 \n",
"Got threshold\n",
"cycle 4 field 026 \n",
"Got threshold\n",
"cycle 4 field 027 \n",
"Got threshold\n",
"cycle 4 field 028 \n",
"Got threshold\n",
"cycle 4 field 029 \n",
"Got threshold\n",
"cycle 4 field 030 \n",
"Got threshold\n",
"cycle 4 field 031 \n",
"Got threshold\n",
"cycle 4 field 033 \n",
"Got threshold\n",
"cycle 4 field 034 \n",
"Got threshold\n",
"cycle 4 field 035 \n",
"Got threshold\n",
"cycle 4 field 037 \n",
"Got threshold\n",
"cycle 4 field 038 \n",
"Got threshold\n",
"cycle 4 field 039 \n",
"Got threshold\n",
"cycle 4 field 040 \n",
"Got threshold\n",
"cycle 4 field 041 \n",
"Got threshold\n",
"cycle 4 field 042 \n",
"Got threshold\n",
"cycle 4 field 043 \n",
"Got threshold\n",
"cycle 4 field 044 \n",
"Got threshold\n",
"cycle 4 field 045 \n",
"Got threshold\n",
"cycle 4 field 046 \n",
"Got threshold\n",
"cycle 4 field 047 \n",
"Got threshold\n",
"cycle 4 field 048 \n",
"Got threshold\n",
"cycle 4 field 049 \n",
"Got threshold\n",
"cycle 4 field 050 \n",
"Got threshold\n",
"cycle 4 field 051 \n",
"Got threshold\n",
"cycle 4 field 052 \n",
"Got threshold\n",
"cycle 4 field 053 \n",
"Got threshold\n",
"cycle 4 field 054 \n",
"Got threshold\n",
"cycle 4 field 055 \n",
"Got threshold\n",
"cycle 4 field 056 \n",
"Got threshold\n",
"cycle 4 field 057 \n",
"Got threshold\n",
"cycle 4 field 058 \n",
"Got threshold\n",
"cycle 4 field 059 \n",
"Got threshold\n",
"cycle 4 field 060 \n",
"Got threshold\n",
"cycle 4 field 061 \n",
"Got threshold\n",
"cycle 4 field 062 \n",
"Got threshold\n",
"cycle 4 field 063 \n",
"Got threshold\n",
"cycle 4 field 064 \n",
"Got threshold\n",
"cycle 4 field 065 \n",
"Got threshold\n",
"cycle 4 field 066 \n",
"Got threshold\n",
"cycle 4 field 067 \n",
"Got threshold\n",
"cycle 4 field 068 \n",
"Got threshold\n",
"cycle 4 field 069 \n",
"Got threshold\n",
"cycle 4 field 070 \n",
"Got threshold\n",
"cycle 4 field 071 \n",
"Got threshold\n",
"cycle 4 field 072 \n",
"Got threshold\n",
"cycle 4 field 073 \n",
"Got threshold\n",
"cycle 4 field 074 \n",
"Got threshold\n",
"cycle 4 field 075 \n",
"Got threshold\n",
"cycle 4 field 076 \n",
"Got threshold\n",
"cycle 4 field 077 \n",
"Got threshold\n",
"cycle 4 field 078 \n",
"Got threshold\n",
"cycle 4 field 079 \n",
"Got threshold\n",
"cycle 4 field 080 \n",
"Got threshold\n",
"cycle 4 field 081 \n",
"Got threshold\n",
"cycle 4 field 082 \n",
"Got threshold\n",
"cycle 4 field 083 \n",
"Got threshold\n",
"cycle 4 field 084 \n",
"Got threshold\n",
"cycle 4 field 085 \n",
"Got threshold\n",
"cycle 4 field 086 \n",
"Got threshold\n",
"cycle 4 field 087 \n",
"Got threshold\n",
"cycle 4 field 088 \n",
"Got threshold\n",
"cycle 4 field 089 \n",
"Got threshold\n",
"cycle 4 field 090 \n",
"Got threshold\n",
"cycle 4 field 091 \n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Got threshold\n",
"cycle 4 field 092 \n",
"Got threshold\n",
"cycle 4 field 093 \n",
"Got threshold\n",
"cycle 4 field 094 \n",
"Got threshold\n",
"cycle 4 field 095 \n",
"Got threshold\n",
"cycle 4 field 096 \n",
"Got threshold\n",
"cycle 4 field 097 \n",
"Got threshold\n",
"cycle 4 field 098 \n",
"Got threshold\n",
"cycle 4 field 099 \n",
"Got threshold\n",
"cycle 4 field 100 \n",
"Got threshold\n",
"cycle 4 field 101 \n",
"Got threshold\n",
"cycle 4 field 102 \n",
"Got threshold\n",
"cycle 4 field 103 \n",
"Got threshold\n",
"cycle 4 field 104 \n",
"Got threshold\n",
"cycle 4 field 105 \n",
"Got threshold\n",
"cycle 4 field 106 \n",
"Got threshold\n",
"cycle 4 field 107 \n",
"Got threshold\n",
"cycle 4 field 108 \n",
"Got threshold\n",
"cycle 4 field 109 \n",
"Got threshold\n",
"cycle 4 field 110 \n",
"Got threshold\n",
"cycle 4 field 111 \n",
"Got threshold\n",
"cycle 4 field 112 \n",
"Got threshold\n",
"cycle 4 field 113 \n",
"Got threshold\n",
"cycle 4 field 114 \n",
"Got threshold\n",
"cycle 4 field 115 \n",
"Got threshold\n",
"cycle 4 field 116 \n",
"Got threshold\n",
"cycle 4 field 117 \n",
"Got threshold\n",
"cycle 4 field 118 \n",
"Got threshold\n",
"cycle 4 field 119 \n",
"Got threshold\n",
"cycle 4 field 120 \n",
"Got threshold\n",
"cycle 4 field 121 \n",
"Got threshold\n",
"cycle 4 field 122 \n",
"Got threshold\n",
"cycle 4 field 123 \n",
"Got threshold\n",
"cycle 4 field 124 \n",
"Got threshold\n",
"cycle 4 field 125 \n",
"Got threshold\n",
"cycle 4 field 126 \n",
"Got threshold\n",
"cycle 4 field 127 \n",
"Got threshold\n",
"cycle 4 field 128 \n",
"Got threshold\n",
"cycle 4 field 129 \n",
"Got threshold\n",
"cycle 4 field 131 \n",
"Got threshold\n",
"cycle 4 field 132 \n",
"Got threshold\n",
"cycle 4 field 133 \n",
"Got threshold\n",
"cycle 4 field 134 \n",
"Got threshold\n",
"cycle 4 field 135 \n",
"Got threshold\n",
"cycle 4 field 136 \n",
"Got threshold\n",
"cycle 4 field 137 \n",
"Got threshold\n",
"cycle 4 field 138 \n",
"Got threshold\n",
"cycle 4 field 140 \n",
"Got threshold\n",
"cycle 4 field 141 \n",
"Got threshold\n",
"cycle 4 field 142 \n",
"Got threshold\n",
"cycle 4 field 143 \n",
"Got threshold\n",
"cycle 4 field 144 \n",
"Got threshold\n",
"cycle 4 field 145 \n",
"Got threshold\n",
"cycle 4 field 146 \n",
"Got threshold\n",
"cycle 4 field 147 \n",
"Got threshold\n",
"cycle 4 field 148 \n",
"Got threshold\n",
"cycle 4 field 149 \n",
"Got threshold\n",
"cycle 4 field 150 \n",
"Got threshold\n",
"cycle 4 field 151 \n",
"Got threshold\n",
"cycle 4 field 152 \n",
"Got threshold\n",
"cycle 4 field 153 \n",
"Got threshold\n",
"cycle 4 field 154 \n",
"Got threshold\n",
"cycle 4 field 155 \n",
"Got threshold\n",
"cycle 4 field 156 \n",
"Got threshold\n",
"cycle 4 field 158 \n",
"Got threshold\n",
"cycle 4 field 159 \n",
"Got threshold\n",
"cycle 4 field 160 \n",
"Got threshold\n",
"cycle 4 field 161 \n",
"Got threshold\n",
"cycle 4 field 162 \n",
"Got threshold\n",
"cycle 4 field 163 \n",
"Got threshold\n",
"cycle 4 field 164 \n",
"Got threshold\n",
"cycle 4 field 165 \n",
"Got threshold\n",
"cycle 4 field 166 \n",
"Got threshold\n",
"cycle 4 field 167 \n",
"Got threshold\n",
"cycle 4 field 168 \n",
"Got threshold\n",
"cycle 4 field 169 \n",
"Got threshold\n",
"cycle 4 field 170 \n",
"Got threshold\n",
"cycle 4 field 171 \n",
"Got threshold\n",
"cycle 4 field 172 \n",
"Got threshold\n",
"cycle 4 field 173 \n",
"Got threshold\n",
"cycle 4 field 174 \n",
"Got threshold\n",
"cycle 4 field 175 \n",
"Got threshold\n",
"cycle 4 field 176 \n",
"Got threshold\n",
"cycle 4 field 177 \n",
"Got threshold\n",
"cycle 4 field 178 \n",
"Got threshold\n",
"cycle 4 field 179 \n",
"Got threshold\n",
"cycle 4 field 180 \n",
"Got threshold\n",
"cycle 4 field 181 \n",
"Got threshold\n",
"cycle 4 field 182 \n",
"Got threshold\n",
"cycle 4 field 183 \n",
"Got threshold\n",
"cycle 4 field 184 \n",
"Got threshold\n",
"cycle 4 field 185 \n",
"Got threshold\n",
"cycle 4 field 186 \n",
"Got threshold\n",
"cycle 4 field 187 \n",
"Got threshold\n",
"cycle 4 field 188 \n",
"Got threshold\n",
"cycle 4 field 189 \n",
"Got threshold\n",
"cycle 4 field 190 \n",
"Got threshold\n",
"cycle 4 field 191 \n",
"Got threshold\n",
"cycle 4 field 192 \n",
"Got threshold\n",
"cycle 4 field 193 \n",
"Got threshold\n",
"cycle 4 field 194 \n",
"Got threshold\n",
"cycle 4 field 195 \n",
"Got threshold\n",
"cycle 4 field 196 \n",
"Got threshold\n",
"cycle 4 field 197 \n",
"Got threshold\n",
"cycle 4 field 198 \n",
"Got threshold\n",
"cycle 4 field 199 \n",
"Got threshold\n",
"cycle 4 field 200 \n",
"Got threshold\n",
"cycle 4 field 201 \n",
"Got threshold\n",
"cycle 4 field 202 \n",
"Got threshold\n",
"cycle 4 field 203 \n",
"Got threshold\n",
"cycle 4 field 204 \n",
"Got threshold\n",
"cycle 4 field 205 \n",
"Got threshold\n",
"cycle 4 field 206 \n",
"Got threshold\n",
"cycle 4 field 207 \n",
"Got threshold\n",
"cycle 4 field 208 \n",
"Got threshold\n",
"cycle 4 field 209 \n",
"Got threshold\n",
"cycle 4 field 210 \n",
"Got threshold\n",
"cycle 4 field 211 \n",
"Got threshold\n",
"cycle 4 field 212 \n",
"Got threshold\n",
"cycle 4 field 213 \n",
"Got threshold\n",
"cycle 4 field 214 \n",
"Got threshold\n",
"cycle 4 field 215 \n",
"Got threshold\n",
"cycle 4 field 216 \n",
"Got threshold\n",
"cycle 4 field 217 \n",
"Got threshold\n",
"cycle 4 field 218 \n",
"Got threshold\n",
"cycle 4 field 219 \n",
"Got threshold\n",
"cycle 4 field 220 \n",
"Got threshold\n",
"cycle 4 field 221 \n",
"Got threshold\n",
"cycle 4 field 222 \n",
"Got threshold\n",
"cycle 4 field 223 \n",
"Got threshold\n",
"cycle 4 field 224 \n",
"Got threshold\n",
"cycle 5 field 000 \n",
"Got threshold\n",
"cycle 5 field 001 \n",
"Got threshold\n",
"cycle 5 field 002 \n",
"Got threshold\n",
"cycle 5 field 003 \n",
"Got threshold\n",
"cycle 5 field 004 \n",
"Got threshold\n",
"cycle 5 field 005 \n",
"Got threshold\n",
"cycle 5 field 006 \n",
"Got threshold\n",
"cycle 5 field 007 \n",
"Got threshold\n",
"cycle 5 field 008 \n",
"Got threshold\n",
"cycle 5 field 009 \n",
"Got threshold\n",
"cycle 5 field 010 \n",
"Got threshold\n",
"cycle 5 field 011 \n",
"Got threshold\n",
"cycle 5 field 012 \n",
"Got threshold\n",
"cycle 5 field 013 \n",
"Got threshold\n",
"cycle 5 field 014 \n",
"Got threshold\n",
"cycle 5 field 015 \n",
"Got threshold\n",
"cycle 5 field 016 \n",
"Got threshold\n",
"cycle 5 field 017 \n",
"Got threshold\n",
"cycle 5 field 018 \n",
"Got threshold\n",
"cycle 5 field 019 \n",
"Got threshold\n",
"cycle 5 field 020 \n",
"Got threshold\n",
"cycle 5 field 021 \n",
"Got threshold\n",
"cycle 5 field 023 \n",
"Got threshold\n",
"cycle 5 field 024 \n",
"Got threshold\n",
"cycle 5 field 025 \n",
"Got threshold\n",
"cycle 5 field 026 \n",
"Got threshold\n",
"cycle 5 field 027 \n",
"Got threshold\n",
"cycle 5 field 028 \n",
"Got threshold\n",
"cycle 5 field 029 \n",
"Got threshold\n",
"cycle 5 field 030 \n",
"Got threshold\n",
"cycle 5 field 031 \n",
"Got threshold\n",
"cycle 5 field 033 \n",
"Got threshold\n",
"cycle 5 field 034 \n",
"Got threshold\n",
"cycle 5 field 035 \n",
"Got threshold\n",
"cycle 5 field 037 \n",
"Got threshold\n",
"cycle 5 field 038 \n",
"Got threshold\n",
"cycle 5 field 039 \n",
"Got threshold\n",
"cycle 5 field 040 \n",
"Got threshold\n",
"cycle 5 field 041 \n",
"Got threshold\n",
"cycle 5 field 042 \n",
"Got threshold\n",
"cycle 5 field 043 \n",
"Got threshold\n",
"cycle 5 field 044 \n",
"Got threshold\n",
"cycle 5 field 045 \n",
"Got threshold\n",
"cycle 5 field 046 \n",
"Got threshold\n",
"cycle 5 field 047 \n",
"Got threshold\n",
"cycle 5 field 048 \n",
"Got threshold\n",
"cycle 5 field 049 \n",
"Got threshold\n",
"cycle 5 field 050 \n",
"Got threshold\n",
"cycle 5 field 051 \n",
"Got threshold\n",
"cycle 5 field 052 \n",
"Got threshold\n",
"cycle 5 field 053 \n",
"Got threshold\n",
"cycle 5 field 054 \n",
"Got threshold\n",
"cycle 5 field 055 \n",
"Got threshold\n",
"cycle 5 field 056 \n",
"Got threshold\n",
"cycle 5 field 057 \n",
"Got threshold\n",
"cycle 5 field 058 \n",
"Got threshold\n",
"cycle 5 field 059 \n",
"Got threshold\n",
"cycle 5 field 060 \n",
"Got threshold\n",
"cycle 5 field 061 \n",
"Got threshold\n",
"cycle 5 field 062 \n",
"Got threshold\n",
"cycle 5 field 063 \n",
"Got threshold\n",
"cycle 5 field 064 \n",
"Got threshold\n",
"cycle 5 field 065 \n",
"Got threshold\n",
"cycle 5 field 066 \n",
"Got threshold\n",
"cycle 5 field 067 \n",
"Got threshold\n",
"cycle 5 field 068 \n",
"Got threshold\n",
"cycle 5 field 069 \n",
"Got threshold\n",
"cycle 5 field 070 \n",
"Got threshold\n",
"cycle 5 field 071 \n",
"Got threshold\n",
"cycle 5 field 072 \n",
"Got threshold\n",
"cycle 5 field 073 \n",
"Got threshold\n",
"cycle 5 field 074 \n",
"Got threshold\n",
"cycle 5 field 075 \n",
"Got threshold\n",
"cycle 5 field 076 \n",
"Got threshold\n",
"cycle 5 field 077 \n",
"Got threshold\n",
"cycle 5 field 078 \n",
"Got threshold\n",
"cycle 5 field 079 \n",
"Got threshold\n",
"cycle 5 field 080 \n",
"Got threshold\n",
"cycle 5 field 081 \n",
"Got threshold\n",
"cycle 5 field 082 \n",
"Got threshold\n",
"cycle 5 field 083 \n",
"Got threshold\n",
"cycle 5 field 084 \n",
"Got threshold\n",
"cycle 5 field 085 \n",
"Got threshold\n",
"cycle 5 field 086 \n",
"Got threshold\n",
"cycle 5 field 087 \n",
"Got threshold\n",
"cycle 5 field 088 \n",
"Got threshold\n",
"cycle 5 field 089 \n",
"Got threshold\n",
"cycle 5 field 090 \n",
"Got threshold\n",
"cycle 5 field 091 \n",
"Got threshold\n",
"cycle 5 field 092 \n",
"Got threshold\n",
"cycle 5 field 093 \n",
"Got threshold\n",
"cycle 5 field 094 \n",
"Got threshold\n",
"cycle 5 field 095 \n",
"Got threshold\n",
"cycle 5 field 096 \n",
"Got threshold\n",
"cycle 5 field 097 \n",
"Got threshold\n",
"cycle 5 field 098 \n",
"Got threshold\n",
"cycle 5 field 099 \n",
"Got threshold\n",
"cycle 5 field 100 \n",
"Got threshold\n",
"cycle 5 field 101 \n",
"Got threshold\n",
"cycle 5 field 102 \n",
"Got threshold\n",
"cycle 5 field 103 \n",
"Got threshold\n",
"cycle 5 field 104 \n",
"Got threshold\n",
"cycle 5 field 105 \n",
"Got threshold\n",
"cycle 5 field 106 \n",
"Got threshold\n",
"cycle 5 field 107 \n",
"Got threshold\n",
"cycle 5 field 108 \n",
"Got threshold\n",
"cycle 5 field 109 \n",
"Got threshold\n",
"cycle 5 field 110 \n",
"Got threshold\n",
"cycle 5 field 111 \n",
"Got threshold\n",
"cycle 5 field 112 \n",
"Got threshold\n",
"cycle 5 field 113 \n",
"Got threshold\n",
"cycle 5 field 114 \n",
"Got threshold\n",
"cycle 5 field 115 \n",
"Got threshold\n",
"cycle 5 field 116 \n",
"Got threshold\n",
"cycle 5 field 117 \n",
"Got threshold\n",
"cycle 5 field 118 \n",
"Got threshold\n",
"cycle 5 field 119 \n",
"Got threshold\n",
"cycle 5 field 120 \n",
"Got threshold\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"cycle 5 field 121 \n",
"Got threshold\n",
"cycle 5 field 122 \n",
"Got threshold\n",
"cycle 5 field 123 \n",
"Got threshold\n",
"cycle 5 field 124 \n",
"Got threshold\n",
"cycle 5 field 125 \n",
"Got threshold\n",
"cycle 5 field 126 \n",
"Got threshold\n",
"cycle 5 field 127 \n",
"Got threshold\n",
"cycle 5 field 128 \n",
"Got threshold\n",
"cycle 5 field 129 \n",
"Got threshold\n",
"cycle 5 field 131 \n",
"Got threshold\n",
"cycle 5 field 132 \n",
"Got threshold\n",
"cycle 5 field 133 \n",
"Got threshold\n",
"cycle 5 field 134 \n",
"Got threshold\n",
"cycle 5 field 135 \n",
"Got threshold\n",
"cycle 5 field 136 \n",
"Got threshold\n",
"cycle 5 field 137 \n",
"Got threshold\n",
"cycle 5 field 138 \n",
"Got threshold\n",
"cycle 5 field 140 \n",
"Got threshold\n",
"cycle 5 field 141 \n",
"Got threshold\n",
"cycle 5 field 142 \n",
"Got threshold\n",
"cycle 5 field 143 \n",
"Got threshold\n",
"cycle 5 field 144 \n",
"Got threshold\n",
"cycle 5 field 145 \n",
"Got threshold\n",
"cycle 5 field 146 \n",
"Got threshold\n",
"cycle 5 field 147 \n",
"Got threshold\n",
"cycle 5 field 148 \n",
"Got threshold\n",
"cycle 5 field 149 \n",
"Got threshold\n",
"cycle 5 field 150 \n",
"Got threshold\n",
"cycle 5 field 151 \n",
"Got threshold\n",
"cycle 5 field 152 \n",
"Got threshold\n",
"cycle 5 field 153 \n",
"Got threshold\n",
"cycle 5 field 154 \n",
"Got threshold\n",
"cycle 5 field 155 \n",
"Got threshold\n",
"cycle 5 field 156 \n",
"Got threshold\n",
"cycle 5 field 158 \n",
"Got threshold\n",
"cycle 5 field 159 \n",
"Got threshold\n",
"cycle 5 field 160 \n",
"Got threshold\n",
"cycle 5 field 161 \n",
"Got threshold\n",
"cycle 5 field 162 \n",
"Got threshold\n",
"cycle 5 field 163 \n",
"Got threshold\n",
"cycle 5 field 164 \n",
"Got threshold\n",
"cycle 5 field 165 \n",
"Got threshold\n",
"cycle 5 field 166 \n",
"Got threshold\n",
"cycle 5 field 167 \n",
"Got threshold\n",
"cycle 5 field 168 \n",
"Got threshold\n",
"cycle 5 field 169 \n",
"Got threshold\n",
"cycle 5 field 170 \n",
"Got threshold\n",
"cycle 5 field 171 \n",
"Got threshold\n",
"cycle 5 field 172 \n",
"Got threshold\n",
"cycle 5 field 173 \n",
"Got threshold\n",
"cycle 5 field 174 \n",
"Got threshold\n",
"cycle 5 field 175 \n",
"Got threshold\n",
"cycle 5 field 176 \n",
"Got threshold\n",
"cycle 5 field 177 \n",
"Got threshold\n",
"cycle 5 field 178 \n",
"Got threshold\n",
"cycle 5 field 179 \n",
"Got threshold\n",
"cycle 5 field 180 \n",
"Got threshold\n",
"cycle 5 field 181 \n",
"Got threshold\n",
"cycle 5 field 182 \n",
"Got threshold\n",
"cycle 5 field 183 \n",
"Got threshold\n",
"cycle 5 field 184 \n",
"Got threshold\n",
"cycle 5 field 185 \n",
"Got threshold\n",
"cycle 5 field 186 \n",
"Got threshold\n",
"cycle 5 field 187 \n",
"Got threshold\n",
"cycle 5 field 188 \n",
"Got threshold\n",
"cycle 5 field 189 \n",
"Got threshold\n",
"cycle 5 field 190 \n",
"Got threshold\n",
"cycle 5 field 191 \n",
"Got threshold\n",
"cycle 5 field 192 \n",
"Got threshold\n",
"cycle 5 field 193 \n",
"Got threshold\n",
"cycle 5 field 194 \n",
"Got threshold\n",
"cycle 5 field 195 \n",
"Got threshold\n",
"cycle 5 field 196 \n",
"Got threshold\n",
"cycle 5 field 197 \n",
"Got threshold\n",
"cycle 5 field 198 \n",
"Got threshold\n",
"cycle 5 field 199 \n",
"Got threshold\n",
"cycle 5 field 200 \n",
"Got threshold\n",
"cycle 5 field 201 \n",
"Got threshold\n",
"cycle 5 field 202 \n",
"Got threshold\n",
"cycle 5 field 203 \n",
"Got threshold\n",
"cycle 5 field 204 \n",
"Got threshold\n",
"cycle 5 field 205 \n",
"Got threshold\n",
"cycle 5 field 206 \n",
"Got threshold\n",
"cycle 5 field 207 \n",
"Got threshold\n",
"cycle 5 field 208 \n",
"Got threshold\n",
"cycle 5 field 209 \n",
"Got threshold\n",
"cycle 5 field 210 \n",
"Got threshold\n",
"cycle 5 field 211 \n",
"Got threshold\n",
"cycle 5 field 212 \n",
"Got threshold\n",
"cycle 5 field 213 \n",
"Got threshold\n",
"cycle 5 field 214 \n",
"Got threshold\n",
"cycle 5 field 215 \n",
"Got threshold\n",
"cycle 5 field 216 \n",
"Got threshold\n",
"cycle 5 field 217 \n",
"Got threshold\n",
"cycle 5 field 218 \n",
"Got threshold\n",
"cycle 5 field 219 \n",
"Got threshold\n",
"cycle 5 field 220 \n",
"Got threshold\n",
"cycle 5 field 221 \n",
"Got threshold\n",
"cycle 5 field 222 \n",
"Got threshold\n",
"cycle 5 field 223 \n",
"Got threshold\n",
"cycle 5 field 224 \n",
"Got threshold\n",
"cycle 6 field 000 \n",
"Got threshold\n",
"cycle 6 field 001 \n",
"Got threshold\n",
"cycle 6 field 002 \n",
"Got threshold\n",
"cycle 6 field 003 \n",
"Got threshold\n",
"cycle 6 field 004 \n",
"Got threshold\n",
"cycle 6 field 005 \n",
"Got threshold\n",
"cycle 6 field 006 \n",
"Got threshold\n",
"cycle 6 field 007 \n",
"Got threshold\n",
"cycle 6 field 008 \n",
"Got threshold\n",
"cycle 6 field 009 \n",
"Got threshold\n",
"cycle 6 field 010 \n",
"Got threshold\n",
"cycle 6 field 011 \n",
"Got threshold\n",
"cycle 6 field 012 \n",
"Got threshold\n",
"cycle 6 field 013 \n",
"Got threshold\n",
"cycle 6 field 014 \n",
"Got threshold\n",
"cycle 6 field 015 \n",
"Got threshold\n",
"cycle 6 field 016 \n",
"Got threshold\n",
"cycle 6 field 017 \n",
"Got threshold\n",
"cycle 6 field 018 \n",
"Got threshold\n",
"cycle 6 field 019 \n",
"Got threshold\n",
"cycle 6 field 020 \n",
"Got threshold\n",
"cycle 6 field 021 \n",
"Got threshold\n",
"cycle 6 field 023 \n",
"Got threshold\n",
"cycle 6 field 024 \n",
"Got threshold\n",
"cycle 6 field 025 \n",
"Got threshold\n",
"cycle 6 field 026 \n",
"Got threshold\n",
"cycle 6 field 027 \n",
"Got threshold\n",
"cycle 6 field 028 \n",
"Got threshold\n",
"cycle 6 field 029 \n",
"Got threshold\n",
"cycle 6 field 030 \n",
"Got threshold\n",
"cycle 6 field 031 \n",
"Got threshold\n",
"cycle 6 field 033 \n",
"Got threshold\n",
"cycle 6 field 034 \n",
"Got threshold\n",
"cycle 6 field 035 \n",
"Got threshold\n",
"cycle 6 field 037 \n",
"Got threshold\n",
"cycle 6 field 038 \n",
"Got threshold\n",
"cycle 6 field 039 \n",
"Got threshold\n",
"cycle 6 field 040 \n",
"Got threshold\n",
"cycle 6 field 041 \n",
"Got threshold\n",
"cycle 6 field 042 \n",
"Got threshold\n",
"cycle 6 field 043 \n",
"Got threshold\n",
"cycle 6 field 044 \n",
"Got threshold\n",
"cycle 6 field 045 \n",
"Got threshold\n",
"cycle 6 field 046 \n",
"Got threshold\n",
"cycle 6 field 047 \n",
"Got threshold\n",
"cycle 6 field 048 \n",
"Got threshold\n",
"cycle 6 field 049 \n",
"Got threshold\n",
"cycle 6 field 050 \n",
"Got threshold\n",
"cycle 6 field 051 \n",
"Got threshold\n",
"cycle 6 field 052 \n",
"Got threshold\n",
"cycle 6 field 053 \n",
"Got threshold\n",
"cycle 6 field 054 \n",
"Got threshold\n",
"cycle 6 field 055 \n",
"Got threshold\n",
"cycle 6 field 056 \n",
"Got threshold\n",
"cycle 6 field 057 \n",
"Got threshold\n",
"cycle 6 field 058 \n",
"Got threshold\n",
"cycle 6 field 059 \n",
"Got threshold\n",
"cycle 6 field 060 \n",
"Got threshold\n",
"cycle 6 field 061 \n",
"Got threshold\n",
"cycle 6 field 062 \n",
"Got threshold\n",
"cycle 6 field 063 \n",
"Got threshold\n",
"cycle 6 field 064 \n",
"Got threshold\n",
"cycle 6 field 065 \n",
"Got threshold\n",
"cycle 6 field 066 \n",
"Got threshold\n",
"cycle 6 field 067 \n",
"Got threshold\n",
"cycle 6 field 068 \n",
"Got threshold\n",
"cycle 6 field 069 \n",
"Got threshold\n",
"cycle 6 field 070 \n",
"Got threshold\n",
"cycle 6 field 071 \n",
"Got threshold\n",
"cycle 6 field 072 \n",
"Got threshold\n",
"cycle 6 field 073 \n",
"Got threshold\n",
"cycle 6 field 074 \n",
"Got threshold\n",
"cycle 6 field 075 \n",
"Got threshold\n",
"cycle 6 field 076 \n",
"Got threshold\n",
"cycle 6 field 077 \n",
"Got threshold\n",
"cycle 6 field 078 \n",
"Got threshold\n",
"cycle 6 field 079 \n",
"Got threshold\n",
"cycle 6 field 080 \n",
"Got threshold\n",
"cycle 6 field 081 \n",
"Got threshold\n",
"cycle 6 field 082 \n",
"Got threshold\n",
"cycle 6 field 083 \n",
"Got threshold\n",
"cycle 6 field 084 \n",
"Got threshold\n",
"cycle 6 field 085 \n",
"Got threshold\n",
"cycle 6 field 086 \n",
"Got threshold\n",
"cycle 6 field 087 \n",
"Got threshold\n",
"cycle 6 field 088 \n",
"Got threshold\n",
"cycle 6 field 089 \n",
"Got threshold\n",
"cycle 6 field 090 \n",
"Got threshold\n",
"cycle 6 field 091 \n",
"Got threshold\n",
"cycle 6 field 092 \n",
"Got threshold\n",
"cycle 6 field 093 \n",
"Got threshold\n",
"cycle 6 field 094 \n",
"Got threshold\n",
"cycle 6 field 095 \n",
"Got threshold\n",
"cycle 6 field 096 \n",
"Got threshold\n",
"cycle 6 field 097 \n",
"Got threshold\n",
"cycle 6 field 098 \n",
"Got threshold\n",
"cycle 6 field 099 \n",
"Got threshold\n",
"cycle 6 field 100 \n",
"Got threshold\n",
"cycle 6 field 101 \n",
"Got threshold\n",
"cycle 6 field 102 \n",
"Got threshold\n",
"cycle 6 field 103 \n",
"Got threshold\n",
"cycle 6 field 104 \n",
"Got threshold\n",
"cycle 6 field 105 \n",
"Got threshold\n",
"cycle 6 field 106 \n",
"Got threshold\n",
"cycle 6 field 107 \n",
"Got threshold\n",
"cycle 6 field 108 \n",
"Got threshold\n",
"cycle 6 field 109 \n",
"Got threshold\n",
"cycle 6 field 110 \n",
"Got threshold\n",
"cycle 6 field 111 \n",
"Got threshold\n",
"cycle 6 field 112 \n",
"Got threshold\n",
"cycle 6 field 113 \n",
"Got threshold\n",
"cycle 6 field 114 \n",
"Got threshold\n",
"cycle 6 field 115 \n",
"Got threshold\n",
"cycle 6 field 116 \n",
"Got threshold\n",
"cycle 6 field 117 \n",
"Got threshold\n",
"cycle 6 field 118 \n",
"Got threshold\n",
"cycle 6 field 119 \n",
"Got threshold\n",
"cycle 6 field 120 \n",
"Got threshold\n",
"cycle 6 field 121 \n",
"Got threshold\n",
"cycle 6 field 122 \n",
"Got threshold\n",
"cycle 6 field 123 \n",
"Got threshold\n",
"cycle 6 field 124 \n",
"Got threshold\n",
"cycle 6 field 125 \n",
"Got threshold\n",
"cycle 6 field 126 \n",
"Got threshold\n",
"cycle 6 field 127 \n",
"Got threshold\n",
"cycle 6 field 128 \n",
"Got threshold\n",
"cycle 6 field 129 \n",
"Got threshold\n",
"cycle 6 field 131 \n",
"Got threshold\n",
"cycle 6 field 132 \n",
"Got threshold\n",
"cycle 6 field 133 \n",
"Got threshold\n",
"cycle 6 field 134 \n",
"Got threshold\n",
"cycle 6 field 135 \n",
"Got threshold\n",
"cycle 6 field 136 \n",
"Got threshold\n",
"cycle 6 field 137 \n",
"Got threshold\n",
"cycle 6 field 138 \n",
"Got threshold\n",
"cycle 6 field 140 \n",
"Got threshold\n",
"cycle 6 field 141 \n",
"Got threshold\n",
"cycle 6 field 142 \n",
"Got threshold\n",
"cycle 6 field 143 \n",
"Got threshold\n",
"cycle 6 field 144 \n",
"Got threshold\n",
"cycle 6 field 145 \n",
"Got threshold\n",
"cycle 6 field 146 \n",
"Got threshold\n",
"cycle 6 field 147 \n",
"Got threshold\n",
"cycle 6 field 148 \n",
"Got threshold\n",
"cycle 6 field 149 \n",
"Got threshold\n",
"cycle 6 field 150 \n",
"Got threshold\n",
"cycle 6 field 151 \n",
"Got threshold\n",
"cycle 6 field 152 \n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Got threshold\n",
"cycle 6 field 153 \n",
"Got threshold\n",
"cycle 6 field 154 \n",
"Got threshold\n",
"cycle 6 field 155 \n",
"Got threshold\n",
"cycle 6 field 156 \n",
"Got threshold\n",
"cycle 6 field 158 \n",
"Got threshold\n",
"cycle 6 field 159 \n",
"Got threshold\n",
"cycle 6 field 160 \n",
"Got threshold\n",
"cycle 6 field 161 \n",
"Got threshold\n",
"cycle 6 field 162 \n",
"Got threshold\n",
"cycle 6 field 163 \n",
"Got threshold\n",
"cycle 6 field 164 \n",
"Got threshold\n",
"cycle 6 field 165 \n",
"Got threshold\n",
"cycle 6 field 166 \n",
"Got threshold\n",
"cycle 6 field 167 \n",
"Got threshold\n",
"cycle 6 field 168 \n",
"Got threshold\n",
"cycle 6 field 169 \n",
"Got threshold\n",
"cycle 6 field 170 \n",
"Got threshold\n",
"cycle 6 field 171 \n",
"Got threshold\n",
"cycle 6 field 172 \n",
"Got threshold\n",
"cycle 6 field 173 \n",
"Got threshold\n",
"cycle 6 field 174 \n",
"Got threshold\n",
"cycle 6 field 175 \n",
"Got threshold\n",
"cycle 6 field 176 \n",
"Got threshold\n",
"cycle 6 field 177 \n",
"Got threshold\n",
"cycle 6 field 178 \n",
"Got threshold\n",
"cycle 6 field 179 \n",
"Got threshold\n",
"cycle 6 field 180 \n",
"Got threshold\n",
"cycle 6 field 181 \n",
"Got threshold\n",
"cycle 6 field 182 \n",
"Got threshold\n",
"cycle 6 field 183 \n",
"Got threshold\n",
"cycle 6 field 184 \n",
"Got threshold\n",
"cycle 6 field 185 \n",
"Got threshold\n",
"cycle 6 field 186 \n",
"Got threshold\n",
"cycle 6 field 187 \n",
"Got threshold\n",
"cycle 6 field 188 \n",
"Got threshold\n",
"cycle 6 field 189 \n",
"Got threshold\n",
"cycle 6 field 190 \n",
"Got threshold\n",
"cycle 6 field 191 \n",
"Got threshold\n",
"cycle 6 field 192 \n",
"Got threshold\n",
"cycle 6 field 193 \n",
"Got threshold\n",
"cycle 6 field 194 \n",
"Got threshold\n",
"cycle 6 field 195 \n",
"Got threshold\n",
"cycle 6 field 196 \n",
"Got threshold\n",
"cycle 6 field 197 \n",
"Got threshold\n",
"cycle 6 field 198 \n",
"Got threshold\n",
"cycle 6 field 199 \n",
"Got threshold\n",
"cycle 6 field 200 \n",
"Got threshold\n",
"cycle 6 field 201 \n",
"Got threshold\n",
"cycle 6 field 202 \n",
"Got threshold\n",
"cycle 6 field 203 \n",
"Got threshold\n",
"cycle 6 field 204 \n",
"Got threshold\n",
"cycle 6 field 205 \n",
"Got threshold\n",
"cycle 6 field 206 \n",
"Got threshold\n",
"cycle 6 field 207 \n",
"Got threshold\n",
"cycle 6 field 208 \n",
"Got threshold\n",
"cycle 6 field 209 \n",
"Got threshold\n",
"cycle 6 field 210 \n",
"Got threshold\n",
"cycle 6 field 211 \n",
"Got threshold\n",
"cycle 6 field 212 \n",
"Got threshold\n",
"cycle 6 field 213 \n",
"Got threshold\n",
"cycle 6 field 214 \n",
"Got threshold\n",
"cycle 6 field 215 \n",
"Got threshold\n",
"cycle 6 field 216 \n",
"Got threshold\n",
"cycle 6 field 217 \n",
"Got threshold\n",
"cycle 6 field 218 \n",
"Got threshold\n",
"cycle 6 field 219 \n",
"Got threshold\n",
"cycle 6 field 220 \n",
"Got threshold\n",
"cycle 6 field 221 \n",
"Got threshold\n",
"cycle 6 field 222 \n",
"Got threshold\n",
"cycle 6 field 223 \n",
"Got threshold\n",
"cycle 6 field 224 \n",
"Got threshold\n",
"cycle 7 field 000 \n",
"Got threshold\n",
"cycle 7 field 001 \n",
"Got threshold\n",
"cycle 7 field 002 \n",
"Got threshold\n",
"cycle 7 field 003 \n",
"Got threshold\n",
"cycle 7 field 004 \n",
"Got threshold\n",
"cycle 7 field 005 \n",
"Got threshold\n",
"cycle 7 field 006 \n",
"Got threshold\n",
"cycle 7 field 007 \n",
"Got threshold\n",
"cycle 7 field 008 \n",
"Got threshold\n",
"cycle 7 field 009 \n",
"Got threshold\n",
"cycle 7 field 010 \n",
"Got threshold\n",
"cycle 7 field 011 \n",
"Got threshold\n",
"cycle 7 field 012 \n",
"Got threshold\n",
"cycle 7 field 013 \n",
"Got threshold\n",
"cycle 7 field 014 \n",
"Got threshold\n",
"cycle 7 field 015 \n",
"Got threshold\n",
"cycle 7 field 016 \n",
"Got threshold\n",
"cycle 7 field 017 \n",
"Got threshold\n",
"cycle 7 field 018 \n",
"Got threshold\n",
"cycle 7 field 019 \n",
"Got threshold\n",
"cycle 7 field 020 \n",
"Got threshold\n",
"cycle 7 field 021 \n",
"Got threshold\n",
"cycle 7 field 023 \n",
"Got threshold\n",
"cycle 7 field 024 \n",
"Got threshold\n",
"cycle 7 field 025 \n",
"Got threshold\n",
"cycle 7 field 026 \n",
"Got threshold\n",
"cycle 7 field 027 \n",
"Got threshold\n",
"cycle 7 field 028 \n",
"Got threshold\n",
"cycle 7 field 029 \n",
"Got threshold\n",
"cycle 7 field 030 \n",
"Got threshold\n",
"cycle 7 field 031 \n",
"Got threshold\n",
"cycle 7 field 033 \n",
"Got threshold\n",
"cycle 7 field 034 \n",
"Got threshold\n",
"cycle 7 field 035 \n",
"Got threshold\n",
"cycle 7 field 037 \n",
"Got threshold\n",
"cycle 7 field 038 \n",
"Got threshold\n",
"cycle 7 field 039 \n",
"Got threshold\n",
"cycle 7 field 040 \n",
"Got threshold\n",
"cycle 7 field 041 \n",
"Got threshold\n",
"cycle 7 field 042 \n",
"Got threshold\n",
"cycle 7 field 043 \n",
"Got threshold\n",
"cycle 7 field 044 \n",
"Got threshold\n",
"cycle 7 field 045 \n",
"Got threshold\n",
"cycle 7 field 046 \n",
"Got threshold\n",
"cycle 7 field 047 \n",
"Got threshold\n",
"cycle 7 field 048 \n",
"Got threshold\n",
"cycle 7 field 049 \n",
"Got threshold\n",
"cycle 7 field 050 \n",
"Got threshold\n",
"cycle 7 field 051 \n",
"Got threshold\n",
"cycle 7 field 052 \n",
"Got threshold\n",
"cycle 7 field 053 \n",
"Got threshold\n",
"cycle 7 field 054 \n",
"Got threshold\n",
"cycle 7 field 055 \n",
"Got threshold\n",
"cycle 7 field 056 \n",
"Got threshold\n",
"cycle 7 field 057 \n",
"Got threshold\n",
"cycle 7 field 058 \n",
"Got threshold\n",
"cycle 7 field 059 \n",
"Got threshold\n",
"cycle 7 field 060 \n",
"Got threshold\n",
"cycle 7 field 061 \n",
"Got threshold\n",
"cycle 7 field 062 \n",
"Got threshold\n",
"cycle 7 field 063 \n",
"Got threshold\n",
"cycle 7 field 064 \n",
"Got threshold\n",
"cycle 7 field 065 \n",
"Got threshold\n",
"cycle 7 field 066 \n",
"Got threshold\n",
"cycle 7 field 067 \n",
"Got threshold\n",
"cycle 7 field 068 \n",
"Got threshold\n",
"cycle 7 field 069 \n",
"Got threshold\n",
"cycle 7 field 070 \n",
"Got threshold\n",
"cycle 7 field 071 \n",
"Got threshold\n",
"cycle 7 field 072 \n",
"Got threshold\n",
"cycle 7 field 073 \n",
"Got threshold\n",
"cycle 7 field 074 \n",
"Got threshold\n",
"cycle 7 field 075 \n",
"Got threshold\n",
"cycle 7 field 076 \n",
"Got threshold\n",
"cycle 7 field 077 \n",
"Got threshold\n",
"cycle 7 field 078 \n",
"Got threshold\n",
"cycle 7 field 079 \n",
"Got threshold\n",
"cycle 7 field 080 \n",
"Got threshold\n",
"cycle 7 field 081 \n",
"Got threshold\n",
"cycle 7 field 082 \n",
"Got threshold\n",
"cycle 7 field 083 \n",
"Got threshold\n",
"cycle 7 field 084 \n",
"Got threshold\n",
"cycle 7 field 085 \n",
"Got threshold\n",
"cycle 7 field 086 \n",
"Got threshold\n",
"cycle 7 field 087 \n",
"Got threshold\n",
"cycle 7 field 088 \n",
"Got threshold\n",
"cycle 7 field 089 \n",
"Got threshold\n",
"cycle 7 field 090 \n",
"Got threshold\n",
"cycle 7 field 091 \n",
"Got threshold\n",
"cycle 7 field 092 \n",
"Got threshold\n",
"cycle 7 field 093 \n",
"Got threshold\n",
"cycle 7 field 094 \n",
"Got threshold\n",
"cycle 7 field 095 \n",
"Got threshold\n",
"cycle 7 field 096 \n",
"Got threshold\n",
"cycle 7 field 097 \n",
"Got threshold\n",
"cycle 7 field 098 \n",
"Got threshold\n",
"cycle 7 field 099 \n",
"Got threshold\n",
"cycle 7 field 100 \n",
"Got threshold\n",
"cycle 7 field 101 \n",
"Got threshold\n",
"cycle 7 field 102 \n",
"Got threshold\n",
"cycle 7 field 103 \n",
"Got threshold\n",
"cycle 7 field 104 \n",
"Got threshold\n",
"cycle 7 field 105 \n",
"Got threshold\n",
"cycle 7 field 106 \n",
"Got threshold\n",
"cycle 7 field 107 \n",
"Got threshold\n",
"cycle 7 field 108 \n",
"Got threshold\n",
"cycle 7 field 109 \n",
"Got threshold\n",
"cycle 7 field 110 \n",
"Got threshold\n",
"cycle 7 field 111 \n",
"Got threshold\n",
"cycle 7 field 112 \n",
"Got threshold\n",
"cycle 7 field 113 \n",
"Got threshold\n",
"cycle 7 field 114 \n",
"Got threshold\n",
"cycle 7 field 115 \n",
"Got threshold\n",
"cycle 7 field 116 \n",
"Got threshold\n",
"cycle 7 field 117 \n",
"Got threshold\n",
"cycle 7 field 118 \n",
"Got threshold\n",
"cycle 7 field 119 \n",
"Got threshold\n",
"cycle 7 field 120 \n",
"Got threshold\n",
"cycle 7 field 121 \n",
"Got threshold\n",
"cycle 7 field 122 \n",
"Got threshold\n",
"cycle 7 field 123 \n",
"Got threshold\n",
"cycle 7 field 124 \n",
"Got threshold\n",
"cycle 7 field 125 \n",
"Got threshold\n",
"cycle 7 field 126 \n",
"Got threshold\n",
"cycle 7 field 127 \n",
"Got threshold\n",
"cycle 7 field 128 \n",
"Got threshold\n",
"cycle 7 field 129 \n",
"Got threshold\n",
"cycle 7 field 131 \n",
"Got threshold\n",
"cycle 7 field 132 \n",
"Got threshold\n",
"cycle 7 field 133 \n",
"Got threshold\n",
"cycle 7 field 134 \n",
"Got threshold\n",
"cycle 7 field 135 \n",
"Got threshold\n",
"cycle 7 field 136 \n",
"Got threshold\n",
"cycle 7 field 137 \n",
"Got threshold\n",
"cycle 7 field 138 \n",
"Got threshold\n",
"cycle 7 field 140 \n",
"Got threshold\n",
"cycle 7 field 141 \n",
"Got threshold\n",
"cycle 7 field 142 \n",
"Got threshold\n",
"cycle 7 field 143 \n",
"Got threshold\n",
"cycle 7 field 144 \n",
"Got threshold\n",
"cycle 7 field 145 \n",
"Got threshold\n",
"cycle 7 field 146 \n",
"Got threshold\n",
"cycle 7 field 147 \n",
"Got threshold\n",
"cycle 7 field 148 \n",
"Got threshold\n",
"cycle 7 field 149 \n",
"Got threshold\n",
"cycle 7 field 150 \n",
"Got threshold\n",
"cycle 7 field 151 \n",
"Got threshold\n",
"cycle 7 field 152 \n",
"Got threshold\n",
"cycle 7 field 153 \n",
"Got threshold\n",
"cycle 7 field 154 \n",
"Got threshold\n",
"cycle 7 field 155 \n",
"Got threshold\n",
"cycle 7 field 156 \n",
"Got threshold\n",
"cycle 7 field 158 \n",
"Got threshold\n",
"cycle 7 field 159 \n",
"Got threshold\n",
"cycle 7 field 160 \n",
"Got threshold\n",
"cycle 7 field 161 \n",
"Got threshold\n",
"cycle 7 field 162 \n",
"Got threshold\n",
"cycle 7 field 163 \n",
"Got threshold\n",
"cycle 7 field 164 \n",
"Got threshold\n",
"cycle 7 field 165 \n",
"Got threshold\n",
"cycle 7 field 166 \n",
"Got threshold\n",
"cycle 7 field 167 \n",
"Got threshold\n",
"cycle 7 field 168 \n",
"Got threshold\n",
"cycle 7 field 169 \n",
"Got threshold\n",
"cycle 7 field 170 \n",
"Got threshold\n",
"cycle 7 field 171 \n",
"Got threshold\n",
"cycle 7 field 172 \n",
"Got threshold\n",
"cycle 7 field 173 \n",
"Got threshold\n",
"cycle 7 field 174 \n",
"Got threshold\n",
"cycle 7 field 175 \n",
"Got threshold\n",
"cycle 7 field 176 \n",
"Got threshold\n",
"cycle 7 field 177 \n",
"Got threshold\n",
"cycle 7 field 178 \n",
"Got threshold\n",
"cycle 7 field 179 \n",
"Got threshold\n",
"cycle 7 field 180 \n",
"Got threshold\n",
"cycle 7 field 181 \n",
"Got threshold\n",
"cycle 7 field 182 \n",
"Got threshold\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"cycle 7 field 183 \n",
"Got threshold\n",
"cycle 7 field 184 \n",
"Got threshold\n",
"cycle 7 field 185 \n",
"Got threshold\n",
"cycle 7 field 186 \n",
"Got threshold\n",
"cycle 7 field 187 \n",
"Got threshold\n",
"cycle 7 field 188 \n",
"Got threshold\n",
"cycle 7 field 189 \n",
"Got threshold\n",
"cycle 7 field 190 \n",
"Got threshold\n",
"cycle 7 field 191 \n",
"Got threshold\n",
"cycle 7 field 192 \n",
"Got threshold\n",
"cycle 7 field 193 \n",
"Got threshold\n",
"cycle 7 field 194 \n",
"Got threshold\n",
"cycle 7 field 195 \n",
"Got threshold\n",
"cycle 7 field 196 \n",
"Got threshold\n",
"cycle 7 field 197 \n",
"Got threshold\n",
"cycle 7 field 198 \n",
"Got threshold\n",
"cycle 7 field 199 \n",
"Got threshold\n",
"cycle 7 field 200 \n",
"Got threshold\n",
"cycle 7 field 201 \n",
"Got threshold\n",
"cycle 7 field 202 \n",
"Got threshold\n",
"cycle 7 field 203 \n",
"Got threshold\n",
"cycle 7 field 204 \n",
"Got threshold\n",
"cycle 7 field 205 \n",
"Got threshold\n",
"cycle 7 field 206 \n",
"Got threshold\n",
"cycle 7 field 207 \n",
"Got threshold\n",
"cycle 7 field 208 \n",
"Got threshold\n",
"cycle 7 field 209 \n",
"Got threshold\n",
"cycle 7 field 210 \n",
"Got threshold\n",
"cycle 7 field 211 \n",
"Got threshold\n",
"cycle 7 field 212 \n",
"Got threshold\n",
"cycle 7 field 213 \n",
"Got threshold\n",
"cycle 7 field 214 \n",
"Got threshold\n",
"cycle 7 field 215 \n",
"Got threshold\n",
"cycle 7 field 216 \n",
"Got threshold\n",
"cycle 7 field 217 \n",
"Got threshold\n",
"cycle 7 field 218 \n",
"Got threshold\n",
"cycle 7 field 219 \n",
"Got threshold\n",
"cycle 7 field 220 \n",
"Got threshold\n",
"cycle 7 field 221 \n",
"Got threshold\n",
"cycle 7 field 222 \n",
"Got threshold\n",
"cycle 7 field 223 \n",
"Got threshold\n",
"cycle 7 field 224 \n",
"Got threshold\n",
"cycle 8 field 000 \n",
"Got threshold\n",
"cycle 8 field 001 \n",
"Got threshold\n",
"cycle 8 field 002 \n",
"Got threshold\n",
"cycle 8 field 003 \n",
"Got threshold\n",
"cycle 8 field 004 \n",
"Got threshold\n",
"cycle 8 field 005 \n",
"Got threshold\n",
"cycle 8 field 006 \n",
"Got threshold\n",
"cycle 8 field 007 \n",
"Got threshold\n",
"cycle 8 field 008 \n",
"Got threshold\n",
"cycle 8 field 009 \n",
"Got threshold\n",
"cycle 8 field 010 \n",
"Got threshold\n",
"cycle 8 field 011 \n",
"Got threshold\n",
"cycle 8 field 012 \n",
"Got threshold\n",
"cycle 8 field 013 \n",
"Got threshold\n",
"cycle 8 field 014 \n",
"Got threshold\n",
"cycle 8 field 015 \n",
"Got threshold\n",
"cycle 8 field 016 \n",
"Got threshold\n",
"cycle 8 field 017 \n",
"Got threshold\n",
"cycle 8 field 018 \n",
"Got threshold\n",
"cycle 8 field 019 \n",
"Got threshold\n",
"cycle 8 field 020 \n",
"Got threshold\n",
"cycle 8 field 021 \n",
"Got threshold\n",
"cycle 8 field 023 \n",
"Got threshold\n",
"cycle 8 field 024 \n",
"Got threshold\n",
"cycle 8 field 025 \n",
"Got threshold\n",
"cycle 8 field 026 \n",
"Got threshold\n",
"cycle 8 field 027 \n",
"Got threshold\n",
"cycle 8 field 028 \n",
"Got threshold\n",
"cycle 8 field 029 \n",
"Got threshold\n",
"cycle 8 field 030 \n",
"Got threshold\n",
"cycle 8 field 031 \n",
"Got threshold\n",
"cycle 8 field 033 \n",
"Got threshold\n",
"cycle 8 field 034 \n",
"Got threshold\n",
"cycle 8 field 035 \n",
"Got threshold\n",
"cycle 8 field 037 \n",
"Got threshold\n",
"cycle 8 field 038 \n",
"Got threshold\n",
"cycle 8 field 039 \n",
"Got threshold\n",
"cycle 8 field 040 \n",
"Got threshold\n",
"cycle 8 field 041 \n",
"Got threshold\n",
"cycle 8 field 042 \n",
"Got threshold\n",
"cycle 8 field 043 \n",
"Got threshold\n",
"cycle 8 field 044 \n",
"Got threshold\n",
"cycle 8 field 045 \n",
"Got threshold\n",
"cycle 8 field 046 \n",
"Got threshold\n",
"cycle 8 field 047 \n",
"Got threshold\n",
"cycle 8 field 048 \n",
"Got threshold\n",
"cycle 8 field 049 \n",
"Got threshold\n",
"cycle 8 field 050 \n",
"Got threshold\n",
"cycle 8 field 051 \n",
"Got threshold\n",
"cycle 8 field 052 \n",
"Got threshold\n",
"cycle 8 field 053 \n",
"Got threshold\n",
"cycle 8 field 054 \n",
"Got threshold\n",
"cycle 8 field 055 \n",
"Got threshold\n",
"cycle 8 field 056 \n",
"Got threshold\n",
"cycle 8 field 057 \n",
"Got threshold\n",
"cycle 8 field 058 \n",
"Got threshold\n",
"cycle 8 field 059 \n",
"Got threshold\n",
"cycle 8 field 060 \n",
"Got threshold\n",
"cycle 8 field 061 \n",
"Got threshold\n",
"cycle 8 field 062 \n",
"Got threshold\n",
"cycle 8 field 063 \n",
"Got threshold\n",
"cycle 8 field 064 \n",
"Got threshold\n",
"cycle 8 field 065 \n",
"Got threshold\n",
"cycle 8 field 066 \n",
"Got threshold\n",
"cycle 8 field 067 \n",
"Got threshold\n",
"cycle 8 field 068 \n",
"Got threshold\n",
"cycle 8 field 069 \n",
"Got threshold\n",
"cycle 8 field 070 \n",
"Got threshold\n",
"cycle 8 field 071 \n",
"Got threshold\n",
"cycle 8 field 072 \n",
"Got threshold\n",
"cycle 8 field 073 \n",
"Got threshold\n",
"cycle 8 field 074 \n",
"Got threshold\n",
"cycle 8 field 075 \n",
"Got threshold\n",
"cycle 8 field 076 \n",
"Got threshold\n",
"cycle 8 field 077 \n",
"Got threshold\n",
"cycle 8 field 078 \n",
"Got threshold\n",
"cycle 8 field 079 \n",
"Got threshold\n",
"cycle 8 field 080 \n",
"Got threshold\n",
"cycle 8 field 081 \n",
"Got threshold\n",
"cycle 8 field 082 \n",
"Got threshold\n",
"cycle 8 field 083 \n",
"Got threshold\n",
"cycle 8 field 084 \n",
"Got threshold\n",
"cycle 8 field 085 \n",
"Got threshold\n",
"cycle 8 field 086 \n",
"Got threshold\n",
"cycle 8 field 087 \n",
"Got threshold\n",
"cycle 8 field 088 \n",
"Got threshold\n",
"cycle 8 field 089 \n",
"Got threshold\n",
"cycle 8 field 090 \n",
"Got threshold\n",
"cycle 8 field 091 \n",
"Got threshold\n",
"cycle 8 field 092 \n",
"Got threshold\n",
"cycle 8 field 093 \n",
"Got threshold\n",
"cycle 8 field 094 \n",
"Got threshold\n",
"cycle 8 field 095 \n",
"Got threshold\n",
"cycle 8 field 096 \n",
"Got threshold\n",
"cycle 8 field 097 \n",
"Got threshold\n",
"cycle 8 field 098 \n",
"Got threshold\n",
"cycle 8 field 099 \n",
"Got threshold\n",
"cycle 8 field 100 \n",
"Got threshold\n",
"cycle 8 field 101 \n",
"Got threshold\n",
"cycle 8 field 102 \n",
"Got threshold\n",
"cycle 8 field 103 \n",
"Got threshold\n",
"cycle 8 field 104 \n",
"Got threshold\n",
"cycle 8 field 105 \n",
"Got threshold\n",
"cycle 8 field 106 \n",
"Got threshold\n",
"cycle 8 field 107 \n",
"Got threshold\n",
"cycle 8 field 108 \n",
"Got threshold\n",
"cycle 8 field 109 \n",
"Got threshold\n",
"cycle 8 field 110 \n",
"Got threshold\n",
"cycle 8 field 111 \n",
"Got threshold\n",
"cycle 8 field 112 \n",
"Got threshold\n",
"cycle 8 field 113 \n",
"Got threshold\n",
"cycle 8 field 114 \n",
"Got threshold\n",
"cycle 8 field 115 \n",
"Got threshold\n",
"cycle 8 field 116 \n",
"Got threshold\n",
"cycle 8 field 117 \n",
"Got threshold\n",
"cycle 8 field 118 \n",
"Got threshold\n",
"cycle 8 field 119 \n",
"Got threshold\n",
"cycle 8 field 120 \n",
"Got threshold\n",
"cycle 8 field 121 \n",
"Got threshold\n",
"cycle 8 field 122 \n",
"Got threshold\n",
"cycle 8 field 123 \n",
"Got threshold\n",
"cycle 8 field 124 \n",
"Got threshold\n",
"cycle 8 field 125 \n",
"Got threshold\n",
"cycle 8 field 126 \n",
"Got threshold\n",
"cycle 8 field 127 \n",
"Got threshold\n",
"cycle 8 field 128 \n",
"Got threshold\n",
"cycle 8 field 129 \n",
"Got threshold\n",
"cycle 8 field 131 \n",
"Got threshold\n",
"cycle 8 field 132 \n",
"Got threshold\n",
"cycle 8 field 133 \n",
"Got threshold\n",
"cycle 8 field 134 \n",
"Got threshold\n",
"cycle 8 field 135 \n",
"Got threshold\n",
"cycle 8 field 136 \n",
"Got threshold\n",
"cycle 8 field 137 \n",
"Got threshold\n",
"cycle 8 field 138 \n",
"Got threshold\n",
"cycle 8 field 140 \n",
"Got threshold\n",
"cycle 8 field 141 \n",
"Got threshold\n",
"cycle 8 field 142 \n",
"Got threshold\n",
"cycle 8 field 143 \n",
"Got threshold\n",
"cycle 8 field 144 \n",
"Got threshold\n",
"cycle 8 field 145 \n",
"Got threshold\n",
"cycle 8 field 146 \n",
"Got threshold\n",
"cycle 8 field 147 \n",
"Got threshold\n",
"cycle 8 field 148 \n",
"Got threshold\n",
"cycle 8 field 149 \n",
"Got threshold\n",
"cycle 8 field 150 \n",
"Got threshold\n",
"cycle 8 field 151 \n",
"Got threshold\n",
"cycle 8 field 152 \n",
"Got threshold\n",
"cycle 8 field 153 \n",
"Got threshold\n",
"cycle 8 field 154 \n",
"Got threshold\n",
"cycle 8 field 155 \n",
"Got threshold\n",
"cycle 8 field 156 \n",
"Got threshold\n",
"cycle 8 field 158 \n",
"Got threshold\n",
"cycle 8 field 159 \n",
"Got threshold\n",
"cycle 8 field 160 \n",
"Got threshold\n",
"cycle 8 field 161 \n",
"Got threshold\n",
"cycle 8 field 162 \n",
"Got threshold\n",
"cycle 8 field 163 \n",
"Got threshold\n",
"cycle 8 field 164 \n",
"Got threshold\n",
"cycle 8 field 165 \n",
"Got threshold\n",
"cycle 8 field 166 \n",
"Got threshold\n",
"cycle 8 field 167 \n",
"Got threshold\n",
"cycle 8 field 168 \n",
"Got threshold\n",
"cycle 8 field 169 \n",
"Got threshold\n",
"cycle 8 field 170 \n",
"Got threshold\n",
"cycle 8 field 171 \n",
"Got threshold\n",
"cycle 8 field 172 \n",
"Got threshold\n",
"cycle 8 field 173 \n",
"Got threshold\n",
"cycle 8 field 174 \n",
"Got threshold\n",
"cycle 8 field 175 \n",
"Got threshold\n",
"cycle 8 field 176 \n",
"Got threshold\n",
"cycle 8 field 177 \n",
"Got threshold\n",
"cycle 8 field 178 \n",
"Got threshold\n",
"cycle 8 field 179 \n",
"Got threshold\n",
"cycle 8 field 180 \n",
"Got threshold\n",
"cycle 8 field 181 \n",
"Got threshold\n",
"cycle 8 field 182 \n",
"Got threshold\n",
"cycle 8 field 183 \n",
"Got threshold\n",
"cycle 8 field 184 \n",
"Got threshold\n",
"cycle 8 field 185 \n",
"Got threshold\n",
"cycle 8 field 186 \n",
"Got threshold\n",
"cycle 8 field 187 \n",
"Got threshold\n",
"cycle 8 field 188 \n",
"Got threshold\n",
"cycle 8 field 189 \n",
"Got threshold\n",
"cycle 8 field 190 \n",
"Got threshold\n",
"cycle 8 field 191 \n",
"Got threshold\n",
"cycle 8 field 192 \n",
"Got threshold\n",
"cycle 8 field 193 \n",
"Got threshold\n",
"cycle 8 field 194 \n",
"Got threshold\n",
"cycle 8 field 195 \n",
"Got threshold\n",
"cycle 8 field 196 \n",
"Got threshold\n",
"cycle 8 field 197 \n",
"Got threshold\n",
"cycle 8 field 198 \n",
"Got threshold\n",
"cycle 8 field 199 \n",
"Got threshold\n",
"cycle 8 field 200 \n",
"Got threshold\n",
"cycle 8 field 201 \n",
"Got threshold\n",
"cycle 8 field 202 \n",
"Got threshold\n",
"cycle 8 field 203 \n",
"Got threshold\n",
"cycle 8 field 204 \n",
"Got threshold\n",
"cycle 8 field 205 \n",
"Got threshold\n",
"cycle 8 field 206 \n",
"Got threshold\n",
"cycle 8 field 207 \n",
"Got threshold\n",
"cycle 8 field 208 \n",
"Got threshold\n",
"cycle 8 field 209 \n",
"Got threshold\n",
"cycle 8 field 210 \n",
"Got threshold\n",
"cycle 8 field 211 \n",
"Got threshold\n",
"cycle 8 field 212 \n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Got threshold\n",
"cycle 8 field 213 \n",
"Got threshold\n",
"cycle 8 field 214 \n",
"Got threshold\n",
"cycle 8 field 215 \n",
"Got threshold\n",
"cycle 8 field 216 \n",
"Got threshold\n",
"cycle 8 field 217 \n",
"Got threshold\n",
"cycle 8 field 218 \n",
"Got threshold\n",
"cycle 8 field 219 \n",
"Got threshold\n",
"cycle 8 field 220 \n",
"Got threshold\n",
"cycle 8 field 221 \n",
"Got threshold\n",
"cycle 8 field 222 \n",
"Got threshold\n",
"cycle 8 field 223 \n",
"Got threshold\n",
"cycle 8 field 224 \n",
"Got threshold\n",
"cycle 11 field 000 \n",
"Got threshold\n",
"cycle 11 field 001 \n",
"Got threshold\n",
"cycle 11 field 002 \n",
"Got threshold\n",
"cycle 11 field 003 \n",
"Got threshold\n",
"cycle 11 field 004 \n",
"Got threshold\n",
"cycle 11 field 005 \n",
"Got threshold\n",
"cycle 11 field 006 \n",
"Got threshold\n",
"cycle 11 field 007 \n",
"Got threshold\n",
"cycle 11 field 008 \n",
"Got threshold\n",
"cycle 11 field 009 \n",
"Got threshold\n",
"cycle 11 field 010 \n",
"Got threshold\n",
"cycle 11 field 011 \n",
"Got threshold\n",
"cycle 11 field 012 \n",
"Got threshold\n",
"cycle 11 field 013 \n",
"Got threshold\n",
"cycle 11 field 014 \n",
"Got threshold\n",
"cycle 11 field 015 \n",
"Got threshold\n",
"cycle 11 field 016 \n",
"Got threshold\n",
"cycle 11 field 017 \n",
"Got threshold\n",
"cycle 11 field 018 \n",
"Got threshold\n",
"cycle 11 field 019 \n",
"Got threshold\n",
"cycle 11 field 020 \n",
"Got threshold\n",
"cycle 11 field 021 \n",
"Got threshold\n",
"cycle 11 field 023 \n",
"Got threshold\n",
"cycle 11 field 024 \n",
"Got threshold\n",
"cycle 11 field 025 \n",
"Got threshold\n",
"cycle 11 field 026 \n",
"Got threshold\n",
"cycle 11 field 027 \n",
"Got threshold\n",
"cycle 11 field 028 \n",
"Got threshold\n",
"cycle 11 field 029 \n",
"Got threshold\n",
"cycle 11 field 030 \n",
"Got threshold\n",
"cycle 11 field 031 \n",
"Got threshold\n",
"cycle 11 field 033 \n",
"Got threshold\n",
"cycle 11 field 034 \n",
"Got threshold\n",
"cycle 11 field 035 \n",
"Got threshold\n",
"cycle 11 field 037 \n",
"Got threshold\n",
"cycle 11 field 038 \n",
"Got threshold\n",
"cycle 11 field 039 \n",
"Got threshold\n",
"cycle 11 field 040 \n",
"Got threshold\n",
"cycle 11 field 041 \n",
"Got threshold\n",
"cycle 11 field 042 \n",
"Got threshold\n",
"cycle 11 field 043 \n",
"Got threshold\n",
"cycle 11 field 044 \n",
"Got threshold\n",
"cycle 11 field 045 \n",
"Got threshold\n",
"cycle 11 field 046 \n",
"Got threshold\n",
"cycle 11 field 047 \n",
"Got threshold\n",
"cycle 11 field 048 \n",
"Got threshold\n",
"cycle 11 field 049 \n",
"Got threshold\n",
"cycle 11 field 050 \n",
"Got threshold\n",
"cycle 11 field 051 \n",
"Got threshold\n",
"cycle 11 field 052 \n",
"Got threshold\n",
"cycle 11 field 053 \n",
"Got threshold\n",
"cycle 11 field 054 \n",
"Got threshold\n",
"cycle 11 field 055 \n",
"Got threshold\n",
"cycle 11 field 056 \n",
"Got threshold\n",
"cycle 11 field 057 \n",
"Got threshold\n",
"cycle 11 field 058 \n",
"Got threshold\n",
"cycle 11 field 059 \n",
"Got threshold\n",
"cycle 11 field 060 \n",
"Got threshold\n",
"cycle 11 field 061 \n",
"Got threshold\n",
"cycle 11 field 062 \n",
"Got threshold\n",
"cycle 11 field 063 \n",
"Got threshold\n",
"cycle 11 field 064 \n",
"Got threshold\n",
"cycle 11 field 065 \n",
"Got threshold\n",
"cycle 11 field 066 \n",
"Got threshold\n",
"cycle 11 field 067 \n",
"Got threshold\n",
"cycle 11 field 068 \n",
"Got threshold\n",
"cycle 11 field 069 \n",
"Got threshold\n",
"cycle 11 field 070 \n",
"Got threshold\n",
"cycle 11 field 071 \n",
"Got threshold\n",
"cycle 11 field 072 \n",
"Got threshold\n",
"cycle 11 field 073 \n",
"Got threshold\n",
"cycle 11 field 074 \n",
"Got threshold\n",
"cycle 11 field 075 \n",
"Got threshold\n",
"cycle 11 field 076 \n",
"Got threshold\n",
"cycle 11 field 077 \n",
"Got threshold\n",
"cycle 11 field 078 \n",
"Got threshold\n",
"cycle 11 field 079 \n",
"Got threshold\n",
"cycle 11 field 080 \n",
"Got threshold\n",
"cycle 11 field 081 \n",
"Got threshold\n",
"cycle 11 field 082 \n",
"Got threshold\n",
"cycle 11 field 083 \n",
"Got threshold\n",
"cycle 11 field 084 \n",
"Got threshold\n",
"cycle 11 field 085 \n",
"Got threshold\n",
"cycle 11 field 086 \n",
"Got threshold\n",
"cycle 11 field 087 \n",
"Got threshold\n",
"cycle 11 field 088 \n",
"Got threshold\n",
"cycle 11 field 089 \n",
"Got threshold\n",
"cycle 11 field 090 \n",
"Got threshold\n",
"cycle 11 field 091 \n",
"Got threshold\n",
"cycle 11 field 092 \n",
"Got threshold\n",
"cycle 11 field 093 \n",
"Got threshold\n",
"cycle 11 field 094 \n",
"Got threshold\n",
"cycle 11 field 095 \n",
"Got threshold\n",
"cycle 11 field 096 \n",
"Got threshold\n",
"cycle 11 field 097 \n",
"Got threshold\n",
"cycle 11 field 098 \n",
"Got threshold\n",
"cycle 11 field 099 \n",
"Got threshold\n",
"cycle 11 field 100 \n",
"Got threshold\n",
"cycle 11 field 101 \n",
"Got threshold\n",
"cycle 11 field 102 \n",
"Got threshold\n",
"cycle 11 field 103 \n",
"Got threshold\n",
"cycle 11 field 104 \n",
"Got threshold\n",
"cycle 11 field 105 \n",
"Got threshold\n",
"cycle 11 field 106 \n",
"Got threshold\n",
"cycle 11 field 107 \n",
"Got threshold\n",
"cycle 11 field 108 \n",
"Got threshold\n",
"cycle 11 field 109 \n",
"Got threshold\n",
"cycle 11 field 110 \n",
"Got threshold\n",
"cycle 11 field 111 \n",
"Got threshold\n",
"cycle 11 field 112 \n",
"Got threshold\n",
"cycle 11 field 113 \n",
"Got threshold\n",
"cycle 11 field 114 \n",
"Got threshold\n",
"cycle 11 field 115 \n",
"Got threshold\n",
"cycle 11 field 116 \n",
"Got threshold\n",
"cycle 11 field 117 \n",
"Got threshold\n",
"cycle 11 field 118 \n",
"Got threshold\n",
"cycle 11 field 119 \n",
"Got threshold\n",
"cycle 11 field 120 \n",
"Got threshold\n",
"cycle 11 field 121 \n",
"Got threshold\n",
"cycle 11 field 122 \n",
"Got threshold\n",
"cycle 11 field 123 \n",
"Got threshold\n",
"cycle 11 field 124 \n",
"Got threshold\n",
"cycle 11 field 125 \n",
"Got threshold\n",
"cycle 11 field 126 \n",
"Got threshold\n",
"cycle 11 field 127 \n",
"Got threshold\n",
"cycle 11 field 128 \n",
"Got threshold\n",
"cycle 11 field 129 \n",
"Got threshold\n",
"cycle 11 field 131 \n",
"Got threshold\n",
"cycle 11 field 132 \n",
"Got threshold\n",
"cycle 11 field 133 \n",
"Got threshold\n",
"cycle 11 field 134 \n",
"Got threshold\n",
"cycle 11 field 135 \n",
"Got threshold\n",
"cycle 11 field 136 \n",
"Got threshold\n",
"cycle 11 field 137 \n",
"Got threshold\n",
"cycle 11 field 138 \n",
"Got threshold\n",
"cycle 11 field 140 \n",
"Got threshold\n",
"cycle 11 field 141 \n",
"Got threshold\n",
"cycle 11 field 142 \n",
"Got threshold\n",
"cycle 11 field 143 \n",
"Got threshold\n",
"cycle 11 field 144 \n",
"Got threshold\n",
"cycle 11 field 145 \n",
"Got threshold\n",
"cycle 11 field 146 \n",
"Got threshold\n",
"cycle 11 field 147 \n",
"Got threshold\n",
"cycle 11 field 148 \n",
"Got threshold\n",
"cycle 11 field 149 \n",
"Got threshold\n",
"cycle 11 field 150 \n",
"Got threshold\n",
"cycle 11 field 151 \n",
"Got threshold\n",
"cycle 11 field 152 \n",
"Got threshold\n",
"cycle 11 field 153 \n",
"Got threshold\n",
"cycle 11 field 154 \n",
"Got threshold\n",
"cycle 11 field 155 \n",
"Got threshold\n",
"cycle 11 field 156 \n",
"Got threshold\n",
"cycle 11 field 158 \n",
"Got threshold\n",
"cycle 11 field 159 \n",
"Got threshold\n",
"cycle 11 field 160 \n",
"Got threshold\n",
"cycle 11 field 161 \n",
"Got threshold\n",
"cycle 11 field 162 \n",
"Got threshold\n",
"cycle 11 field 163 \n",
"Got threshold\n",
"cycle 11 field 164 \n",
"Got threshold\n",
"cycle 11 field 165 \n",
"Got threshold\n",
"cycle 11 field 166 \n",
"Got threshold\n",
"cycle 11 field 167 \n",
"Got threshold\n",
"cycle 11 field 168 \n",
"Got threshold\n",
"cycle 11 field 169 \n",
"Got threshold\n",
"cycle 11 field 170 \n",
"Got threshold\n",
"cycle 11 field 171 \n",
"Got threshold\n",
"cycle 11 field 172 \n",
"Got threshold\n",
"cycle 11 field 173 \n",
"Got threshold\n",
"cycle 11 field 174 \n",
"Got threshold\n",
"cycle 11 field 175 \n",
"Got threshold\n",
"cycle 11 field 176 \n",
"Got threshold\n",
"cycle 11 field 177 \n",
"Got threshold\n",
"cycle 11 field 178 \n",
"Got threshold\n",
"cycle 11 field 179 \n",
"Got threshold\n",
"cycle 11 field 180 \n",
"Got threshold\n",
"cycle 11 field 181 \n",
"Got threshold\n",
"cycle 11 field 182 \n",
"Got threshold\n",
"cycle 11 field 183 \n",
"Got threshold\n",
"cycle 11 field 184 \n",
"Got threshold\n",
"cycle 11 field 185 \n",
"Got threshold\n",
"cycle 11 field 186 \n",
"Got threshold\n",
"cycle 11 field 187 \n",
"Got threshold\n",
"cycle 11 field 188 \n",
"Got threshold\n",
"cycle 11 field 189 \n",
"Got threshold\n",
"cycle 11 field 190 \n",
"Got threshold\n",
"cycle 11 field 191 \n",
"Got threshold\n",
"cycle 11 field 192 \n",
"Got threshold\n",
"cycle 11 field 193 \n",
"Got threshold\n",
"cycle 11 field 194 \n",
"Got threshold\n",
"cycle 11 field 195 \n",
"Got threshold\n",
"cycle 11 field 196 \n",
"Got threshold\n",
"cycle 11 field 197 \n",
"Got threshold\n",
"cycle 11 field 198 \n",
"Got threshold\n",
"cycle 11 field 199 \n",
"Got threshold\n",
"cycle 11 field 200 \n",
"Got threshold\n",
"cycle 11 field 201 \n",
"Got threshold\n",
"cycle 11 field 202 \n",
"Got threshold\n",
"cycle 11 field 203 \n",
"Got threshold\n",
"cycle 11 field 204 \n",
"Got threshold\n",
"cycle 11 field 205 \n",
"Got threshold\n",
"cycle 11 field 206 \n",
"Got threshold\n",
"cycle 11 field 207 \n",
"Got threshold\n",
"cycle 11 field 208 \n",
"Got threshold\n",
"cycle 11 field 209 \n",
"Got threshold\n",
"cycle 11 field 210 \n",
"Got threshold\n",
"cycle 11 field 211 \n",
"Got threshold\n",
"cycle 11 field 212 \n",
"Got threshold\n",
"cycle 11 field 213 \n",
"Got threshold\n",
"cycle 11 field 214 \n",
"Got threshold\n",
"cycle 11 field 215 \n",
"Got threshold\n",
"cycle 11 field 216 \n",
"Got threshold\n",
"cycle 11 field 217 \n",
"Got threshold\n",
"cycle 11 field 218 \n",
"Got threshold\n",
"cycle 11 field 219 \n",
"Got threshold\n",
"cycle 11 field 220 \n",
"Got threshold\n",
"cycle 11 field 221 \n",
"Got threshold\n",
"cycle 11 field 222 \n",
"Got threshold\n",
"cycle 11 field 223 \n",
"Got threshold\n",
"cycle 11 field 224 \n",
"Got threshold\n"
]
}
],
"source": [
"for c in range(CYCLE_NUMS-1):\n",
" if c == 8:\n",
" continue\n",
" if c == 9:\n",
" continue\n",
" else:\n",
" refs = iter(sorted(glob.glob('tif/Cycle_0/*'))) # list of cycle 0 .tif \n",
" movs = iter(sorted(glob.glob(f'tif/Cycle_{c+1}/*'))) # cycle 1, 2, 3, .tif list --> FOV000, 001, (002 = error) 005 006 \n",
" for FOV in range(0, NUM_FOVS): # \n",
" #sFOV = str(FOV).zfill(NUM_DIGITS_OF_FOVS)\n",
" ref_name = next(refs) \n",
" ref = imread(ref_name)\n",
" ref = ref.astype(np.uint16)\n",
" mov_name = next(movs)\n",
" mov = imread(mov_name)\n",
" mov = mov.astype(np.uint16)\n",
" FOV_num = mov_name.split('_F')[1][0:3]\n",
" print(f'cycle {c+1} field {FOV_num} ')\n",
"\n",
" ref_max = ref.max(0)\n",
" ref_binary = ref_max[0] > threshold_otsu(ref_max[0]) # nuclei channel\n",
" mov_max = mov.max(0)\n",
" mov_binary = mov_max[0] > threshold_otsu(mov_max[0]) # nuclei channel\n",
" print(\"Got threshold\")\n",
" sr = StackReg(StackReg.RIGID_BODY) \n",
" tmat = sr.register(ref_binary, mov_binary) \n",
" out = sr.transform(mov_binary) \n",
" out = pystackreg.util.to_uint16(out) \n",
"\n",
" base_J.loc[FOV_num, str(c+1)] = jaccard(ref_binary, mov_binary)\n",
" reg_J.loc[FOV_num, str(c+1)] = jaccard(ref_binary, out.astype('bool'))\n",
"\n",
"# # save binary\n",
"# fname_to_save = f'reg_bin_Cyc_{c+1}' + f'/Cycle_{c+1}_F{FOV_num}_bin_reg.tif'\n",
"# print('Saving Binary Registered Images...', fname_to_save)\n",
"# tifffile.imwrite(fname_to_save, out, imagej=True, photometric = 'minisblack',metadata={'axes':'YX'})\n",
"\n",
"# # save tmat\n",
"# print(\"saving tmat\")\n",
"# np.save(f'tmat_Cyc_{c+1}' + f'/Cycle_{c+1}_F{FOV_num}_tmat.npy', tmat)\n",
"\n",
"\n",
"base_J.to_csv('base_J.csv')\n",
"reg_J.to_csv('reg_J.csv')"
]
},
{
"cell_type": "code",
"execution_count": 22,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"\n",
"\n",
"
\n",
" \n",
" \n",
" | \n",
" 1 | \n",
" 2 | \n",
" 3 | \n",
" 4 | \n",
" 5 | \n",
" 6 | \n",
" 7 | \n",
" 8 | \n",
" 11 | \n",
"
\n",
" \n",
" \n",
" \n",
" | 000 | \n",
" 0.887237 | \n",
" 0.881616 | \n",
" 0.859747 | \n",
" 0.859281 | \n",
" 0.843531 | \n",
" 0.841220 | \n",
" 0.853113 | \n",
" 0.773995 | \n",
" 0.787906 | \n",
"
\n",
" \n",
" | 001 | \n",
" 0.891824 | \n",
" 0.873816 | \n",
" 0.861065 | \n",
" 0.859755 | \n",
" 0.852868 | \n",
" 0.849672 | \n",
" 0.845301 | \n",
" 0.749024 | \n",
" 0.736567 | \n",
"
\n",
" \n",
" | 002 | \n",
" 0.890971 | \n",
" 0.876274 | \n",
" 0.867945 | \n",
" 0.867994 | \n",
" 0.860779 | \n",
" 0.855329 | \n",
" 0.856110 | \n",
" 0.765965 | \n",
" 0.708617 | \n",
"
\n",
" \n",
" | 003 | \n",
" 0.869854 | \n",
" 0.860706 | \n",
" 0.846820 | \n",
" 0.856395 | \n",
" 0.853580 | \n",
" 0.846487 | \n",
" 0.841188 | \n",
" 0.685282 | \n",
" 0.651844 | \n",
"
\n",
" \n",
" | 004 | \n",
" 0.863577 | \n",
" 0.846497 | \n",
" 0.838159 | \n",
" 0.831156 | \n",
" 0.832161 | \n",
" 0.825702 | \n",
" 0.830148 | \n",
" 0.709247 | \n",
" 0.789060 | \n",
"
\n",
" \n",
" | ... | \n",
" ... | \n",
" ... | \n",
" ... | \n",
" ... | \n",
" ... | \n",
" ... | \n",
" ... | \n",
" ... | \n",
" ... | \n",
"
\n",
" \n",
" | 220 | \n",
" 0.901239 | \n",
" 0.890111 | \n",
" 0.879207 | \n",
" 0.874942 | \n",
" 0.867320 | \n",
" 0.866256 | \n",
" 0.865674 | \n",
" 0.778534 | \n",
" 0.836423 | \n",
"
\n",
" \n",
" | 221 | \n",
" 0.905898 | \n",
" 0.900489 | \n",
" 0.889275 | \n",
" 0.886145 | \n",
" 0.879509 | \n",
" 0.880105 | \n",
" 0.877490 | \n",
" 0.797369 | \n",
" 0.856523 | \n",
"
\n",
" \n",
" | 222 | \n",
" 0.906270 | \n",
" 0.900712 | \n",
" 0.891573 | \n",
" 0.892715 | \n",
" 0.885408 | \n",
" 0.886274 | \n",
" 0.884483 | \n",
" 0.770628 | \n",
" 0.869040 | \n",
"
\n",
" \n",
" | 223 | \n",
" 0.904492 | \n",
" 0.895853 | \n",
" 0.885005 | \n",
" 0.881038 | \n",
" 0.876785 | \n",
" 0.875982 | \n",
" 0.876786 | \n",
" 0.786968 | \n",
" 0.852155 | \n",
"
\n",
" \n",
" | 224 | \n",
" 0.910708 | \n",
" 0.896791 | \n",
" 0.884867 | \n",
" 0.878552 | \n",
" 0.871479 | \n",
" 0.869526 | \n",
" 0.868555 | \n",
" 0.710388 | \n",
" 0.805254 | \n",
"
\n",
" \n",
"
\n",
"
219 rows × 9 columns
\n",
"
"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"# LOOKING AT JACCARD SHIFT\n",
"from matplotlib import pyplot\n",
"\n",
"fig, axs = plt.subplots(CYCLE_NUMS-3, 3, figsize=(15,30))\n",
"\n",
"for cycle in range(CYCLE_NUMS-1):\n",
" if cycle == 8:\n",
" pass\n",
" if cycle == 9:\n",
" pass\n",
" else:\n",
" axs[cycle][0].hist(reg_J[f'{cycle+1}'], bins = 50, alpha=0.5, label='reg_J', range=[0,1])\n",
" axs[cycle][0].hist(base_J[f'{cycle+1}'], bins = 50, alpha=0.5, label='base_J', range=[0,1])\n",
"\n",
" axs[cycle][1].hist(dfY_shift[f'{cycle+1}'], bins = 50, alpha=0.5, label='dfX_shift', range=[-50,50])\n",
" axs[cycle][2].hist(dfX_shift[f'{cycle+1}'], bins = 50, alpha=0.5, label='dfX_shift', range=[-50,50])\n",
"\n",
" axs[cycle][0].title.set_text(f'Change in Jaccard Index - Cycle {cycle+1}')\n",
" axs[cycle][1].title.set_text(f'Y Shift - Cycle {cycle+1}')\n",
" axs[cycle][2].title.set_text(f'X Shift - Cycle {cycle+1}')\n",
"\n",
"# for ax in axs.flat:\n",
"# ax.set(xlabel='', ylabel='')\n",
"\n",
"\n"
]
},
{
"cell_type": "code",
"execution_count": 39,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
""
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"# for 11\n",
"fig, axs = plt.subplots(1, 3, figsize=(20,4))\n",
"\n",
"axs[0].hist(reg_J[f'{11}'], bins = 50, alpha=0.5, label='reg_J', range=[0,1])\n",
"axs[0].hist(base_J[f'{11}'], bins = 50, alpha=0.5, label='base_J', range=[0,1])\n",
"\n",
"axs[1].hist(dfY_shift[f'{11}'], bins = 50, alpha=0.5, label='dfX_shift', range=[-50,50])\n",
"axs[2].hist(dfX_shift[f'{11}'], bins = 50, alpha=0.5, label='dfX_shift', range=[-50,50])\n",
"\n",
"axs[0].title.set_text(f'Change in Jaccard Index - Cycle 11')\n",
"axs[1].title.set_text(f'Y Shift - Cycle 11')\n",
"axs[2].title.set_text(f'X Shift - Cycle 11')"
]
},
{
"cell_type": "code",
"execution_count": 40,
"metadata": {
"scrolled": false
},
"outputs": [
{
"ename": "StopIteration",
"evalue": "",
"output_type": "error",
"traceback": [
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
"\u001b[0;31mStopIteration\u001b[0m Traceback (most recent call last)",
"\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[1;32m 12\u001b[0m columns=['0','1','2', '3', '4', '5', '6', '7', '8', '9', '10', '11', '12', '13', '14'])\n\u001b[1;32m 13\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0msFOV\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mrange\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mNUM_FOVS\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 14\u001b[0;31m \u001b[0mtmat_name\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mnext\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtmats\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 15\u001b[0m \u001b[0mtmat_loaded\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mload\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtmat_name\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 16\u001b[0m \u001b[0mmoveX\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mtmat_loaded\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m2\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0;31mStopIteration\u001b[0m: "
]
},
{
"data": {
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"text/plain": [
""
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
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\n",
"text/plain": [
""
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
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\n",
"text/plain": [
""
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
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\n",
"text/plain": [
""
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
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\n",
"text/plain": [
""
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
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\n",
"text/plain": [
""
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
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\n",
"text/plain": [
""
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
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\n",
"text/plain": [
""
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
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kbGaTKRrqeKmKokT8DuClku4G9gN+KOke4HP5NjOzSonofKmKonrEjwFvlTQH2Cu//+qIeGgygjMz61aVerqd6mj6WkSsBZYNOBYzs74N4/Q1zyM2s1oZq9BsiE45EZtZrbhHPEDHjT7RdxvnjkxPEEk2mdpaS3UMpJGgpVS/kqnaSVFjOWsnjQqd05BMbceIzcyGRZVmQ3TKidjMasU9YjOzko01Ug3cTB4nYjOrlWEcmhi+Px1mZm00Qh0vRSQdKemnklZJOnlQMReVwTxJ0u6DenAzs9Qi1PHSjqSpwGeAo8hKPBwvab9BxFzUI/4H4CZJ35f0bklPG0QQZmapJKw1cTCwKiLuiYingIuBYwYRc1EivgfYjSwhLwDulHS1pBPz+hMTkrRI0lJJS3+8dlXCcM3M2utmaKI5V+XLoqamdgXub/p5db4uuaKDdRERDeBa4FpJ08i66ccDZwET9pAjYgmwBGDxHicM4dC5mQ2rbmZNNOeqCUw0djGQfFaUiDcLJCI2AlcBV0maOYiAzMz6kTBTrgaaj5HtBjyQrvk/KkrEb2i1ISL6P+fYzCyxTmZDdOgWYF9JewK/Ao4DTkjVeLOiesQ/G8SDmpkNSqqiPxExKum9wDXAVODciFiRpPFxfEKHmdVKykJGEfEt4FsJm5yQE7GZ1Uokq5U3eQaeiKcmelEuHen/2OC0wRzwLN1GVet5pXrPUxir6XteNVU6RXfU9YjNzMrlHrGZWcmGsdi9E7GZ1Yp7xGZmJXOP2MysZGPuEZuZlWsIr5TUPhFLmk52Wt8DEXG9pBOAFwErgSV57Qkzs8po1LBHfF5+n1mSTgRmA1cAh5PV6jxxsOGZmXVnGGeOFyXiP4uI50saISt6sUtEjEm6AFjWaqe8pucigFfOPZgD5+yTLGAzs3aG8WBd0QkxU/LhiTnALGDbfP0MYFqrnSJiSUQsjIiFTsJmNpkaUsdLVRT1iD8P3EVWeWgxcKmke4BDyC4bYmZWKWNlB9CDojKYn5T0lfz2A5LOB44APhcRN09GgGZm3ajdrAnIEnDT7d8Blw00IjOzPtRx1oSZ2VCp46wJM7OhUsuhiap4IsGklOmJqqZWqfYqTHyp2TKlqgFcteeVQiPRa5Pq6/fUJK3Ahgr1Q4dx+trQJGIzs06MDeFfcCdiM6sV94jNzErmRGxmVrIhvGSdE7GZ1Uste8SS9gZeA+wOjAI/By6KiMcGHJuZWdeG8RTntjOxJJ0EfBbYCjgImEmWkH8o6bCBR2dm1qWGOl+qomhK7DuBIyPiH8lqTOwXEYuBI4FPttpJ0iJJSyUtvW3tqnTRmpkVaHSxVEUn5yZsGr6YQVYOk4i4D5fBNLMKGsZEXDRGfA5wi6QfAYcCZwBIehrwmwHHZmbWteqc49e5ojKYn5J0PfBc4OyIuCtf/whZYjYzq5Qqjf12qpMymCuAFZMQi5lZ34Zx1oTnEZtZraQqrDSZnIjNrFaqdBCuUwNPxL9hNEk7cxIU7JuV6NzHjYnGoFKVi0xleqLSilMqVMBySqKXeIPSNDQjURHVllOWurQxUTs7RnX6dNX6repMdV49M7ME3CM2MyvZaKJvL0UkzeePZx6PAu/u9aLKVbvYhJlZX6KLpU9nAqdGxHzgY/nPPXGP2MxqZRKHJgLYJr+9LfBAm/u25URsZrUyidPXPgBcI+ksstGFF/XakBOxmdVKN2lY0iJgUdOqJRGxpGn79cDOE+y6GDgc+GBEXC7p9cDnyYqjdc2J2MxqpZuhiTzpLmmzvWVilXQ+8P78x0vJavP0xAfrzKxWxoiOlz49ALw0v/1ysotm9KSoMPy2kv5J0l2Sfp0vK/N127XZ7w/1iFesvbvX2MzMujaJZTDfCXxC0jLgdDYf4uhKUY/4EuC3wGERMS8i5gEvy9dd2mqn5nrE+8/Zu9fYzMy6Fl386+txIn4QEQsi4s8j4gURcWuvbRUl4j0i4oyIWNP04Gsi4gzgGb0+qJnZoAxjYfiiRPxLSR+RtNOmFZJ2kvRR4P7BhmZm1r0G0fFSFUWJ+A3APOBGSb+R9BvgBmAucOyAYzMz69oknlmXTNEVOn4LfDRfNiPpbcB5A4rLzKwno5VKsZ3pZ/raqcmiMDNLZLIO1qXUtkcs6Y5Wm4CdWmzbzNRkNW77l+oSKqnqCFfpYAGkOzW0SmcJpaqNXLUJ96k+O1X7DKYwjM+p6HdmJ+CvyKarNRPw3wOJyMysD1Xq6XaqKBF/A5gdEbeP3yDphoFEZGbWh9r1iCPi7W22nZA+HDOz/oxF/XrEZmZDpUrzgzvlRGxmtVLHMWIzs6FSuzFiM7NhM4xDEwOZHtlcBnO5y2Ca2SQaxhM6ek7Ekr7daltzGcznuQymmU2isYiOl6ooOrPuwFabgPnpwzEz688wDk0UjRHfAtwIE54n2vIKHWZmZanjwbqVwLsi4k+uxSTJ9YjNrHKqNPbbqaJE/HFajyO/L20oZmb9q93QRERc1mbz9oljMTPrW1ToIFyn+plHfCodFIZP9TUhRTHDUQUj0X9LaQorwowEsQBsVKoPXpp4Ur0+KcqWblAwLUFEqcq5bkz0+zAjUTypPoNVSn2pytROpoHXI66SFEnYhkuKJGzDpXZDE7gesZkNmToOTbgesZkNldr1iF2P2MyGTR2nr5mZDZUqnbrcKSdiM6uV2g1NmJkNGydiM7OSDeOsibZlMCVtI+n/SvqSpBPGbfu3Nvu5HrGZlaJBdLxURVE94vPI5gxfDhwn6XJJM/Jth7TayfWIzawsw1gYvmhoYu+IeG1++6uSFgPflXT0gOMyM+vJWAxfIcyiRDxD0pSI7JlFxGmSVgPfA2YPPDozsy7VbowY+Drw8uYVEfFF4H8BTw0qKDOzXg3jGHHRmXUfabH+akmnDyYkM7PeVWnst1P9XMX51GRRmJkl0ojoeOmHpGMlrZDUkLRw3LbnS/phvv0nkrZq19bAy2Bu1Veu/6P1Ca5ENVtTE0SSzmiiOsKjiXoAqfoRqWr3pni3UtX/TVVOM9XX4SmJfq82KM2BrXlj1Sk3Ook94uXA3wD/0bxS0ghwAfDmiFgmaR6wsV1DLoNpZrUyWbMmImIlgPQnf4ReAdwREcvy+/26qC2XwTSzWulmyEHSImBR06olEbGkzxCeBYSka4CnARdHxJntdnAZTDOrlW6GJvKk2zLxSroe2HmCTYsj4mstdhsBXgwcBKwHviPp1oj4TqvHca0JM6uVfg/CNYuII3rYbTVwY0Q8CiDpW8CBQMtEnGbE38ysIipwivM1wPMlzcoP3L0UuLPdDk7EZlYrYzHW8dIPSa/JzzR+IfDNfEyYiPgtcDZwC3A7cFtEfLNdWx6aMLNamaxTnCPiSuDKFtsuIJvC1pGB9Iiby2AuW7tqEA9hZjahYTzFuage8c6S/l3SZyTNk/Tx/CyRSyQ9vdV+zWUw/3zOPumjNjNrISI6XqqiqEf8BbJB5vuB/wSeAF4JfB/47EAjMzPrwWSd4pxS4Zl1EfGvAJLeHRFn5Ov/VVLLOcZmZmUZxqI/RYm4ucd8/rht1SrcYGZGPQvDf03S7IhYFxF/v2mlpH2Anw42NDOz7lVp7LdTRac4f6zF+lWS2s6LMzMrQ5XGfjvlesRmVivDOGti4PWIU9WDnZNgSHok0eu+IVHp1VmRpqFUpWBTzatM9fFOUWe5anWEZySaup+urnEa6yp0jm6V5gd3yvWIzaxWqtTT7ZTrEZtZrdRu1oTrEZvZsBnGg3Uu+mNmtVLHoQkzs6FSxzPrzMyGyhbRI5a0Y0Q8PIhgzMz6NYxjxEWTneeOW+YB9wLbA3Pb7LcIWJovizqYVF14nw4nZ7udIYjF7fg997L5ovwFmpCkBvDLcat3I7s4XkTEXt2l/ZaPszQiFrqdwbVTpVjczuS0U6VYUrZTR0Xnw3yErLjP0RGxZ0TsCazObydJwmZmW7q2iTgizgLeAXxM0tmS5pDuDFYzM6ODU80jYnVEHEt2hY7rgFkDiGOJ2xl4O1WKxe1MTjtViiVlO7XTdoz4T+4szQT2jojlkt4WEecNLjQzsy1DV4l4sx2l+yLiGYnjMTPb4hRdxfmOFstP6LAMZhFJR0r6qaRVkk7usY1zJT0saXkfcewu6T8lrZS0QtL7e2xnK0k3S1qWt9NX3WZJUyX9WNI3+mjj3vzq27dLWtpHO9tJukzSXfnr9MIe2nh2Hsem5feSPtBDOx/MX9/lki6StFW3beTtvD9vY0W3cUz0uZM0V9J1kn6e/799D20cm8fTkNTRLIMW7fxz/l7dIelKSdv12M4/5G3cLulaSbv00k7Ttg9LCkk7dPLctggF8/4eAuYDzxy37AE8kGBe4VTgbmAvYDqwDNivh3YOBQ4ElvcRy9OBA/Pbc4Cf9RiLyCrWAUwDbgIO6SOuDwEXAt/oo417gR0SvF9fBN6R354ObJfg/V8DPLPL/XYFfgHMzH++BHhrD4//PGA52XGPEeB6YN9+PnfAmcDJ+e2TgTN6aOO5wLOBG4CFfcTyCmAkv31GUSxt2tmm6fZJwGd7aSdfvztwDdm02L4/k3VZig7WbSqD+ctxy735h6RfBwOrIuKeiHgKuBg4pttGIuJ7wG/6CSQiHoyI2/Lba4GVZL/w3bYTEbEu/3FavvQ0/iNpN+CVwDm97J+SpG3Ifrk+DxART0XE7/ps9nDg7ogYP1e9EyPATEkjZIn0gR7aeC7wo4hYHxGjwI3AazrducXn7hiyP1jk/7+62zYiYmVEdHVNyBbtXJs/L4AfkZ0D0Es7v2/6cWs6+Dy3+Z38JNm0WM++alI0fe3tEfGDFttSlMHcFbi/6efV9JD8UpO0B3AAWW+2l/2nSrodeBi4LiJ6agf4F7IPbb8FVgO4VtKtkhb12MZewCPAeflQyTmStu4zruOAi7rdKSJ+BZwF3Ac8CDwWEdf28PjLgUMlzZM0C/hrsh5bP3aKiAfzOB8EduyzvVT+B/DtXneWdJqk+4E3AhNey7KDNo4GfhURy3qNo67KvsDJRNexKfUvpaTZwOXAB8b1BDoWEWMRMZ+sB3KwpOf1EMergIcj4tZeYhjnLyLiQOAo4D2SDu2hjRGyr5r/HhEHAI+TffXuiaTpwNHApT3suz1Zz3NPYBdga0lv6radiFhJ9pX9OuBqsqGx0bY7DSFJi8me15d7bSMiFkfE7nkb7+0hhlnAYnpM4nVXdiJezeY9kN3o7StmEpKmkSXhL0fEFf22l391vwE4sofd/wI4WtK9ZEM2L5d0QY9xPJD//zBwJdmQULdWk51Vual3fxlZYu7VUcBtEfFQD/seAfwiIh6JiI3AFcCLegkiIj4fEQdGxKFkX6V/3ks7TR6S9HSA/P9SC2RJOhF4FfDGiEjRybkQeG0P++1N9odzWf6Z3g24TdLOCWIaemUn4luAfSXtmfeQjgOuKiMQSSIb/1wZEWf30c7TNh2dVjbv+gjgrm7biYj/HRG7RcQeZK/LdyOi616fpK2VnRFJPpTwCrKv5N3Gswa4X9Kz81WHA3d2206T4+lhWCJ3H3CIpFn5+3Y42Zh+1yTtmP//DOBv+ohpk6uAE/PbJwJf67O9nkk6EvgoWYmC9X20s2/Tj0fT2+f5JxGxY0TskX+mV5MdHF/Ta1y1UvbRQrJxuZ+RzZ5Y3GMbF5GNFW4ke4Pf3kMbLyYbFrkDuD1f/rqHdp4P/DhvZznwsQSv0WH0OGuCbGx3Wb6s6PU1ztuaT1ZR7w7gq8D2PbYzC/g1sG0fsZxKlhCWA18CZvTYzvfJ/qAsAw7v93NHVqHwO2Q96+/QpkphmzZek9/eQDZz6ZoeY1lFdgxm0+e5k9kOE7Vzef463wF8Hdi1l3bGbb8Xz5r4w9LzCR1mZpZG2UMTZmZbPCdiM7OSORGbmZXMidjMrGROxGZmJXMiNjMrmROxmVnJnIjNzEr2/wFNte0xPJYCAwAAAABJRU5ErkJggg==\n",
"text/plain": [
""
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"fig, axes = plt.subplots()\n",
"for idx, c in enumerate(range(CYCLE_NUMS-1)):\n",
" if cycle == 8:\n",
" pass\n",
" if cycle == 9:\n",
" pass\n",
" else:\n",
" tmats = iter(glob.glob(f'tmat_Cyc_{c+1}/*'))\n",
" dfX = pd.DataFrame(0, index=['0','1','2', '3', '4', '5', '6', '7', '8', '9', '10', '11', '12', '13', '14'], \n",
" columns=['0','1','2', '3', '4', '5', '6', '7', '8', '9', '10', '11', '12', '13', '14'])\n",
" dfY = pd.DataFrame(0, index=['0','1','2', '3', '4', '5', '6', '7', '8', '9', '10', '11', '12', '13', '14'], \n",
" columns=['0','1','2', '3', '4', '5', '6', '7', '8', '9', '10', '11', '12', '13', '14'])\n",
" for sFOV in range(0,NUM_FOVS):\n",
" tmat_name = next(tmats)\n",
" tmat_loaded = np.load(tmat_name)\n",
" moveX = tmat_loaded[0,2]\n",
" moveY = tmat_loaded[1,2]\n",
"\n",
" col = str(int(tmat_name.split('_')[6]))\n",
" row = str(int(tmat_name.split('_')[7][0:3]))\n",
"\n",
" dfX.loc[row, col] = moveX\n",
" dfY.loc[row, col] = moveY\n",
" fig, axes = plt.subplots()\n",
" sns.heatmap(dfX, vmin=-20, vmax=20)\n",
" pl.suptitle(f\"Cycle {c+1} X-shift\")"
]
},
{
"cell_type": "code",
"execution_count": 43,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"Text(0.5, 0.98, 'Cycle 11 Y-shift')"
]
},
"execution_count": 43,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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\n",
"text/plain": [
""
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
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\n",
"text/plain": [
""
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"\n",
"tmats = iter(glob.glob(f'tmat_Cyc_11/*'))\n",
"dfX = pd.DataFrame(0, index=['0','1','2', '3', '4', '5', '6', '7', '8', '9', '10', '11', '12', '13', '14'], \n",
" columns=['0','1','2', '3', '4', '5', '6', '7', '8', '9', '10', '11', '12', '13', '14'])\n",
"dfY = pd.DataFrame(0, index=['0','1','2', '3', '4', '5', '6', '7', '8', '9', '10', '11', '12', '13', '14'], \n",
" columns=['0','1','2', '3', '4', '5', '6', '7', '8', '9', '10', '11', '12', '13', '14'])\n",
"for sFOV in range(0,NUM_FOVS):\n",
" tmat_name = next(tmats)\n",
" tmat_loaded = np.load(tmat_name)\n",
" moveX = tmat_loaded[0,2]\n",
" moveY = tmat_loaded[1,2]\n",
"\n",
" col = str(int(tmat_name.split('_')[6]))\n",
" row = str(int(tmat_name.split('_')[7][0:3]))\n",
"\n",
" dfX.loc[row, col] = moveX\n",
" dfY.loc[row, col] = moveY\n",
"fig, axes = plt.subplots()\n",
"sns.heatmap(dfX, vmin=-20, vmax=20)\n",
"pl.suptitle(f\"Cycle 11 X-shift\")\n",
"fig, axes = plt.subplots()\n",
"sns.heatmap(dfY, vmin=-20, vmax=20)\n",
"pl.suptitle(f\"Cycle 11 Y-shift\")"
]
},
{
"cell_type": "code",
"execution_count": 44,
"metadata": {
"scrolled": false
},
"outputs": [
{
"ename": "StopIteration",
"evalue": "",
"output_type": "error",
"traceback": [
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
"\u001b[0;31mStopIteration\u001b[0m Traceback (most recent call last)",
"\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[1;32m 12\u001b[0m columns=['0','1','2', '3', '4', '5', '6', '7', '8', '9', '10', '11', '12', '13', '14'])\n\u001b[1;32m 13\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0msFOV\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mrange\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mNUM_FOVS\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 14\u001b[0;31m \u001b[0mtmat_name\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mnext\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtmats\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 15\u001b[0m \u001b[0mtmat_loaded\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mload\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtmat_name\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 16\u001b[0m \u001b[0mmoveX\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mtmat_loaded\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m2\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0;31mStopIteration\u001b[0m: "
]
},
{
"data": {
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"text/plain": [
""
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
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\n",
"text/plain": [
""
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
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\n",
"text/plain": [
""
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
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\n",
"text/plain": [
""
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
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zbWZmlRLR+VIVRfWIHwXeJmlTYLf88asi4r7pCM7MrFtV6ul2qqPpaxHxOLC0z7GYmZU2jNPXPI/YzGplokKzITrlRGxmteIecR+lqCV8eyNNHeFUb1qq+eRKVON2JNHRiyrV3B1LFEuqur2p6ghXTaNC1xKu7RixmdmwGMa/dU7EZlYr7hGbmQ3YRCPVRcimjxOxmdXKMA5NDN+fDjOzNhqhjpcikg6R9CtJKySd3K+Yi8pgniBpp349uZlZahHqeGlH0ijwaeBQshIPb5K0Vz9iLuoR/zPwc0k/lPROSVv1Iwgzs1QS1ppYAKyIiDsj4mngy8Dh/Yi5KBHfCexIlpD3A26R9F1Jx+T1J6YkaZGkJZKWXLVuRcJwzcza62ZoojlX5cuipqZ2AO5uur8qX5dc0cG6iIgGcDlwuaSZZN30NwEfA6bsIUfEYmAxwPnbHz2EQ+dmNqy6mTXRnKumMNXYRV/yWVEifkYgETEGXApcKmnjfgRkZlZGwky5Cmg+RrYjsDpd839QlIj/ttWGiPht4ljMzErrZDZEh64D9pS0K3AP8EbgqFSNNyuqR3xbP57UzKxfUhX9iYhxSe8GLgNGgbMi4uYkjU/iEzrMrFZSXpw5Ir4NfDthk1NyIjazWokKVYLrVN8T8YxEI+crJ8qXsJyZIA5IdzBgNFE7qUo0pjKaKJ4UraQqO5nqHR5J1NJEomQzhPVxCo27HrGZ2WC5R2xmNmApx4inixOxmdWKe8RmZgPmHrGZ2YClOpA5nZyIzaxWhnEmSNtELGkDstP6VkfElZKOAl4KLAcW57UnzMwqo0pXlO5UUY/47PwxsyQdA8wGLgYWktXqPKa/4ZmZdadas+o7U5SI/ywi9pY0g6zoxfYRMSHpXGBpq53ymp6LABbNWcDBs/ZIFrCZWTvDeLCuqHDnSD48sSkwC5ibr9+QNieqRcTiiJgfEfOdhM1sOjWkjpeqKOoRfw64lexs3FOACyXdCexPdtkQM7NKmRh0AD0oKoP5CUlfyW+vlnQOcDDw2Yi4djoCNDPrRu1mTUCWgJtuPwJc1NeIzMxKqOOsCTOzoVLHWRNmZkOllkMTZY1X6E1JVRs5lVThpJquU6WjyJCmznKqAzczK9bP2oJqnUv1eFSnTzeM09eq8+6ZmSUwUa3+REeciM2sVtwjNjMbMCdiM7MBG8JL1jkRm1m91LJHLGl34AhgJ2AcuB04PyIe7XNsZmZdG8ZTnNsW/ZF0AvAZYCPgRcDGZAn5p5IO7Ht0ZmZdaqjzpSqKqq+9HTgkIv6FrMbEXhFxCnAI8IlWO0laJGmJpCVXrVuRLlozswKNLpaqKErE8Ifhiw3JymESEXfRYRnMhS6DaWbTaBgTcdEY8ZnAdZJ+BhwAnA4gaSvgoT7HZmbWtWqdA9mZojKYn5R0JfB84OMRcWu+/gGyxGxmVilVGvvtVCdlMG8Gbp6GWMzMShvGWROeR2xmtdIYwsEJJ2Izq5UqHYTrVN8T8drRNAM28ybK/5VLVZKzauU0187oZPJLsVRVq2Yme3/KB7T5eJpfy1RXfUhR2hPgUVWrD5XmE5hGxX49O1Ktn6aZWUnuEZuZDdi4pqdPLGkf/nDm8Tjwzl4vqlylbxRmZqVFF0tJZwCnRcQ+wAfz+z1xj9jMamUahyYCmJPfngusbvPYtpyIzaxWpnH62onAZZI+Rja68NJeG3IiNrNa6SYNS1oELGpatTgiFjdtvxLYdopdTwEWAu+LiK9K+hvgc2TF0brmRGxmtdLN0ESedBe32d4ysUo6B3hvfvdCsto8PfHBOjOrlQmi46Wk1cAr8tsHkV00oydFheHnSvqopFslrc2X5fm6zdrs9/t6xD9+oufYzMy6No1lMN8O/LukpcBHeOYQR1eKesQXAA8DB0bEvIiYB7wyX3dhq52a6xG/bPaevcZmZta16OJfqeeJ+FFE7BcRfx4RL46I63ttqygR7xIRp0fEmqYnXxMRpwPP6fVJzcz6ZRgLwxcl4t9I+oCkbdavkLSNpJOAu/sbmplZ9xpEx0tVFCXivwXmAddIekjSQ8DVwBbAkX2Ozcysa9N4Zl0yRVfoeBg4KV+eQdKxwNl9isvMrCfjlUqxnSkzfe20ZFGYmSUyXQfrUmrbI5Z0U6tNwDYttj3DWKIat0+pfEMbN9K88U+MpHlRO48/naSdbRLVuH2o9YW5u5LqIEiKSe5bMJagFVg2c8Mk7ewwlubdGUmUREaqk4uSqdJBuE4VnVm3DfCXZNPVmgn4SV8iMjMroUo93U4VJeJvArMj4sbJGyRd3ZeIzMxKqF2POCKOa7PtqPThmJmVM5FoqG46ueiPmdVKleYHd8qJ2MxqpY5jxGZmQ6V2Y8RmZsNmGIcm+lKPuLkM5k9dBtPMptEwntDRcyKW9J1W25rLYL7EZTDNbBpNRHS8VEXRmXX7ttoE7JM+HDOzcoZxaKJojPg64BqyxDtZyyt0mJkNSh0P1i0H3hERfzTQK8n1iM2scqo09tupokT8IVqPI78nbShmZuXVbmgiIi5qs3nzxLGYmZUWFToI16ky84hPo4PC8NuPVetNGU3QxqxE5TRv22CDJO3MG08Tz2jFPsApxvoeZGaSOZo7jU0kaAUaUx5u6d48pSmh+kikKX06kaBMbSoTdesRp6hHXCUpkrANl75MlLdKq93QBK5HbGZDpo5DE65HbGZDpXY9YtcjNrNhU8fpa2ZmQ6VKpy53yonYzGqldkMTZmbDxonYzGzAhnHWRNtplpLmSPpXSV+UdNSkbf/VZr/f1yO+ct2KVLGamRVqEB0vVVE03/1ssjnDXwXeKOmrkjbMt+3faqfmesQHz9ojUahmZsWGsTB80dDE7hHx1/ntr0k6BfiepMP6HJeZWU8mYvgKYRYl4g0ljURkrywiPixpFfADYHbfozMz61LtxoiBbwAHNa+IiC8AfwekqTpiZpbQMI4RF51Z94EW678r6SP9CcnMrHdVGvvtVJniVKcli8LMLJFGRMdLGZKOlHSzpIak+ZO27S3pp/n2X0raqF1bfS+DmaoMYYrh9y0baUZTHhhJU0d4r7GnkrQzHmlqwd41I83rmp2oXvPcxnjpNp5UPYuf3jaycZJ2tk7wHkO6OsspTGOPeBnwV8D/NK+UNAM4F3hLRCyVNA8Ya9eQy2CaWa1M16yJiFgOoD8uiv9q4KaIWJo/bm1RWy6DaWa10s2Qg6RFwKKmVYsjYnHJEJ4LhKTLgK2AL0fEGe12cBlMM6uVboYm8qTbMvFKuhLYdopNp0TE11vsNgN4OfAiYB1wlaTrI+KqVs/jWhNmVitlD8I1i4iDe9htFXBNRDwIIOnbwL5Ay0TsS3qZWa1U4BTny4C9Jc3KD9y9Aril3Q5OxGZWKxMx0fFShqQj8jONXwJ8Kx8TJiIeBj4OXAfcCNwQEd9q15aHJsysVqbrFOeIuAS4pMW2c8mmsHWkLz1il8E0s0EZxlOci+oRbyvpvyV9WtI8SR/KzxK5QNJ2rfZzGUwzG5SI6HipiqIe8efJBpnvBr4P/BZ4LfBD4DN9jczMrAfTdYpzSoVn1kXEfwJIemdEnJ6v/09JLecYm5kNyjAW/SlKxM095nMmbavnSfxmNtTqWBj+65JmR8QTEfGP61dK2gP4VX9DMzPrXpXGfjtVdIrzB1usXyGp7bw4M7NBqNLYb6dcj9jMamUYZ030vR5xqtGaFBOeb91gw+IHTaNt2lYo7dwDIzOTtDNnolpja49XqJbwI6PViQVgq/FyZ4WtN/HHJRx7Up2URqXmB3fK9YjNrFaq1NPtlOsRm1mt1G7WhOsRm9mwGcaDdS76Y2a1UsehCTOzoVLHM+vMzIbKs6JHLGnriLi/H8GYmZU1jGPERZOdt5i0zANWApsDW7TZbxGwJF8WdTCpuvAxHU7OdjtDEIvb8c/cyzMX5W/QlCQ1gN9MWr0j2cXxIiJ26y7tt3yeJREx3+30r50qxeJ2pqedKsWSsp06Kjph7QNkxX0Oi4hdI2JXYFV+O0kSNjN7tmubiCPiY8DxwAclfVzSplTrbEYzs6FXWMIhIlZFxJFkV+i4ApjVhzgWu52+t1OlWNzO9LRTpVhStlM7bceI/+jB0sbA7hGxTNKxEXF2/0IzM3t26CoRP2NH6a6IeE7ieMzMnnWKruJ8U4vll3RYBrOIpEMk/UrSCkkn99jGWZLul7SsRBw7Sfq+pOWSbpb03h7b2UjStZKW5u2UqtssaVTSLyR9s0QbK/Orb98oaUmJdjaTdJGkW/P36SU9tPG8PI71y2OSTuyhnffl7+8ySedL2qjbNvJ23pu3cXO3cUz1uZO0haQrJN2e/795D20cmcfTkNTRLIMW7fxb/rO6SdIlkjbrsZ1/ztu4UdLlkrbvpZ2mbX8vKSRt2clre1YomPd3H7APsPOkZRdgdYJ5haPAHcBuwAbAUmCvHto5ANgXWFYilu2AffPbmwK39RiLyCrWAcwEfg7sXyKu9wPnAd8s0cZKYMsEP68vAMfntzcANkvw818D7NzlfjsAvwY2zu9fALyth+d/AbCM7LjHDOBKYM8ynzvgDODk/PbJwOk9tPF84HnA1cD8ErG8GpiR3z69KJY27cxpun0C8Jle2snX7wRcRjYttvRnsi5L0cG69WUwfzNpWZl/SMpaAKyIiDsj4mngy8Dh3TYSET8AHioTSETcGxE35LcfB5aT/cJ3205ExBP53Zn50tP4j6QdgdcCZ/ayf0qS5pD9cn0OICKejohHSja7ELgjIibPVe/EDGBjSTPIEunqHtp4PvCziFgXEePANcARne7c4nN3ONkfLPL/X99tGxGxPCK6uiZki3Yuz18XwM/IzgHopZ3Hmu5uQgef5za/k58gmxbr2VdNiqavHRcRP2qxLUUZzB2Au5vur6KH5JeapF2AF5L1ZnvZf1TSjcD9wBUR0VM7wH+QfWjLFlgN4HJJ10ta1GMbuwEPAGfnQyVnStqkZFxvBM7vdqeIuAf4GHAXcC/waERc3sPzLwMOkDRP0izgNWQ9tjK2iYh78zjvBbYu2V4q/wv4Tq87S/qwpLuBo4Epr2XZQRuHAfdExNJe46irFFcgKmOq67QM9C+lpNnAV4ETJ/UEOhYRExGxD1kPZIGkF/QQx+uA+yPi+l5imORlEbEvcCjwLkkH9NDGDLKvmv8dES8EniT76t0TSRsAhwEX9rDv5mQ9z12B7YFNJL2523YiYjnZV/YrgO+SDY2Nt91pCEk6hex1fanXNiLilIjYKW/j3T3EMAs4hR6TeN0NOhGv4pk9kB3p7StmEpJmkiXhL0XExWXby7+6Xw0c0sPuLwMOk7SSbMjmIEnn9hjH6vz/+4FLyIaEurWK7KzK9b37i8gSc68OBW6IiPt62Pdg4NcR8UBEjAEXAy/tJYiI+FxE7BsRB5B9lb69l3aa3CdpO4D8/4EWyJJ0DPA64OiISNHJOQ/46x72253sD+fS/DO9I3CDpG0TxDT0Bp2IrwP2lLRr3kN6I3DpIAKRJLLxz+UR8fES7Wy1/ui0snnXBwO3dttORPy/iNgxInYhe1++FxFd9/okbaLsjEjyoYRXk30l7zaeNcDdkp6Xr1oI3NJtO03eRA/DErm7gP0lzcp/bgvJxvS7Jmnr/P/nAH9VIqb1LgWOyW8fA3y9ZHs9k3QIcBJZiYJ1JdrZs+nuYfT2ef5lRGwdEbvkn+lVZAfH1/QaV60M+mgh2bjcbWSzJ07psY3zycYKx8h+wMf10MbLyYZFbgJuzJfX9NDO3sAv8naWAR9M8B4dSI+zJsjGdpfmy829vsd5W/uQVdS7CfgasHmP7cwC1gJzS8RyGllCWAZ8Ediwx3Z+SPYHZSmwsOznjqxC4VVkPeuraFOlsE0bR+S3nyKbuXRZj7GsIDsGs/7z3Mlsh6na+Wr+Pt8EfAPYoZd2Jm1fiWdN/H7p+YQOMzNLY9BDE2Zmz3pOxGZmA+ZEbGY2YE7EZmYD5kRsZjZgTsRmZgPmRGxmNmBOxGZmA/b/AWrTi94wbkKGAAAAAElFTkSuQmCC\n",
"text/plain": [
""
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
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\n",
"text/plain": [
""
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
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\n",
"text/plain": [
""
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
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y5y+LiAcmIjgzs17Vqafbra6mr0XEU8DiPsdiZlbZME5f8zxiM2uUkRrNhuiWE7GZNYp7xH2UopbwtYnqCK+TaJA/RY1lqN9dXFMdVxNNTXSGaDTRd31Sss9yfc58NXaM2MxsWNRpNkS3nIjNrFHcIzYzG7CR0eEbHHMiNrNGGcahieH71WFm1sFoqOuliKR5km6VdLuko/oVc1EZzCMlbdOvFzczSy1CXS+dSJoMfB3Yn6zEw8GSdulHzEU94s8DV0n6paSPSNqsH0GYmaWSsNbEXOD2iLgzIp4Dvgcc2I+YixLxncBssoS8B3CzpJ9JOiyvPzEuSfMlLZK06Iqnb0sYrplZZ70MTbTmqnyZ39LU1sB9LV8vy9clV3SyLiJiFLgYuFjSVLJu+sHAl4Bxe8gRsRBYCHDK7EOHcOjczIZVL7MmWnPVOMYbu+hLPitKxM8LJCJWAxcCF0pavx8BmZlVkTBTLgNaz5HNBpana/5PihLxe9ptiIhnE8diZlZZN7MhunQNsLOk7YH7gfcCh6RqvFVRPeLf9eNFzcz6JVXRn4hYI+mjwEXAZODUiLgpSeNj+IIOM2uUlDdnjoifAD9J2OS4nIjNrFGidvUIiw1NIl4S1UtYTkn0/Un1ba7bdJJUJRHrJNUxpaojo1R/NidpJd1xjdQo+a1xPWIzs8Fyj9jMbMBSjhFPFCdiM2sU94jNzAbMPWIzswGr04nDbjkRm1mjDOGdkjonYknrkF3WtzwiLpV0CPAGYCmwMK89YWZWG6nucD2RinrEp+XPmSbpMGA6cD6wL1mtzsP6G56ZWW+GcTp8USJ+dUTsKmkKWdGLrSJiRNIZwOJ2O+U1PecDvH/GXPbeYOdkAZuZdTKMJ+uKCndOyocnNgSmARvn69cFprbbKSIWRsSciJjjJGxmE2lU6nqpi6Ie8SnALWSVhxYA50i6E9iT7LYhZma1MjLoAEooKoN5oqT/zB8vl3Q6sB/wzYi4eiICNDPrReNmTUCWgFsePw6c29eIzMwqaOKsCTOzodLEWRNmZkOlkUMTdTGS4M2dPIy/KrvQ/T1rO6vbBzhFLeFUxzQ16vXhqVvt6Ek16ocO4/S1oUnEZmbdSNFpm2hOxGbWKO4Rm5kNmBOxmdmADeEt65yIzaxZGtkjlrQj8E5gG2ANcBtwVkQ80efYzMx6NoyXOHec+STpSOAkYD3gtcD6ZAn5Skn79D06M7Mejar7pS6KpqAeAcyLiP9LVmNil4hYAMwDTmy3k6T5khZJWnTF07eli9bMrMBoD0tddHMtwNrhi3XJymESEffiMphmVkPDmIiLxohPBq6R9BtgL+A4AEmbAY/2OTYzs57V5xq/7hWVwfyqpEuBVwInRMQt+fqHyBKzmVmt1Gnst1vdlMG8CbhpAmIxM6tsGGdNeB6xmTXK6BAOTjgRm1mj1OkkXLf6nohTletbk2DcJ0UbAOvU7Bduqg9eqqpVK1PV5UxgZqK/U1Pd9WFKonKadRsHrVNZzhqF0jX3iM2sUdwjNjMbsDWamD6xpN3405XHa4CPlL2pco3+iDQzqy56WCo6HjgmInYDPpt/XYp7xGbWKBM4NBHARvnjjYHlHZ7bkROxmTXKBE5f+wRwkaQvkY0uvKFsQ07EZtYovaRhSfOB+S2rFkbEwpbtlwJbjrPrAmBf4JMRcZ6kvwVOISuO1jMnYjNrlF6GJvKku7DD9raJVdLpwMfzL88hq81Tik/WmVmjjBBdLxUtB/bOH7+F7KYZpRQVht9Y0hcl3SLpkXxZmq+b0WG/P9Yjvtz1iM1sAk1gGcwjgC9LWgx8gecPcfSkqEd8NvAYsE9EzIqIWcCb83XntNuptR7xPq5HbGYTKHr4V+l1In4VEXtExJ9HxOsi4tqybRUl4u0i4riIWNHy4isi4jhg27IvambWL8NYGL4oEd8j6dOStli7QtIWkj4D3Nff0MzMejdKdL3URVEifg8wC7hC0qOSHgUuBzYBDupzbGZmPZvAK+uSKbpDx2PAZ/LleSR9CDitT3GZmZWyplYptjtVpq8dkywKM7NEJupkXUode8SSbmi3Cdiizba+mJrgPUv1tqeIBWDmSL1u6vLY5MlJ2klVmzbF+5zqPU713tStjvCU+uSiZOp0Eq5bRVfWbQH8Fdl0tVYC/rsvEZmZVVCnnm63ihLxj4DpEXH92A2SLu9LRGZmFTSuRxwRH+6w7ZD04ZiZVTOS6HZUE8lFf8ysUeo0P7hbTsRm1ihNHCM2MxsqjRsjNjMbNsM4NNGXesQug2lmgzKMF3SUTsSSftpum8tgmtmgjER0vdRF0ZV1u7fbBOyWPhwzs2qGcWiiaIz4GuAKssQ7Vts7dJiZDUoTT9YtBf4+Il4w0CvJ9YjNrHbqNPbbraJE/DnajyN/LG0oZmbVNW5oIiLO7bB5ZuJYzMwqixqdhOtWlXnEx9BFYfhNE5UhfHBKmjKEjyRoZrM11dsAWLpummPaNFE1zVQlEdMcVRqPTZ6cpPTk1Jr9cG86kuZD+OikNJcSLJ9an/qeI03rEdepHnEKKZKwDZe61f+1/mvc0ASuR2xmQ6aJQxOuR2xmQ6VxPWLXIzazYdPE6WtmZkOlTpcud8uJ2MwapXFDE2Zmw8aJ2MxswIZx1kTHMpiSNpL0/yR9R9IhY7b9e4f9/liP+GfP3J4qVjOzQqNE10tdFNUjPo1szvB5wHslnSdp3Xzbnu12aq1HPG/aTolCNTMrNoyF4YuGJnaMiHflj78vaQHwc0kH9DkuM7NSRmL4CmEWJeJ1JU2KyI4sIo6VtAz4BTC979GZmfWocWPEwA+Bt7SuiIhvA/8TeK5fQZmZlTWMY8RFV9Z9us36n0n6Qn9CMjMrr05jv92qchfnY5JFYWaWyGhE10sVkg6SdJOkUUlzxmzbVdKV+fYbJa3Xqa2+l8GcXKPxmj/7Q71qI79yVaJCwoncs06a43omUenJlyQouTsp0cdvxZQ0B7V5olrWjyeqI5zKrqtWDzqEP5rAHvES4G+A/2hdKWkKcAbw/ohYLGkW0PENchlMM2uUiZo1ERFLAaQX/JJ+K3BDRCzOn/dIUVsug2lmjdLLkIOk+cD8llULI2JhxRBeBoSki4DNgO9FxPGddnAZTDNrlF6GJvKk2zbxSroU2HKcTQsi4gdtdpsCvAl4LfAMcJmkayPisnavU6+BJjOziqqehGsVEfuV2G0ZcEVEPAwg6SfA7kDbRFxl1oSZWe3U4BLni4BdJU3LT9ztDdzcaQcnYjNrlJEY6XqpQtI78yuNXw/8OB8TJiIeA04ArgGuB66LiB93astDE2bWKBN1iXNEXABc0GbbGWRT2LrSlx5xaxnMnz57Rz9ewsxsXMN4iXNRPeItJX1D0tclzZL0ufwqkbMlvaTdfq1lMPdff8f0UZuZtRERXS91UdQj/hbZIPN9wH8BzwJvA34JnNTXyMzMSpioS5xTKryyLiL+DUDSRyLiuHz9v0lqO8fYzGxQhrHoT1Eibu0xnz5mW5rCBGZmCTWxMPwPJE2PiJUR8c9rV0raCbi1v6GZmfWuTmO/3Sq6xPmzbdbfLqnjvDgzs0Go09hvt1yP2MwaZRhnTfS9HvEflGaq8qZrqo/7pKojnMqTk9O8N6teWIavlOmJhtaaeDPDKYl+Zh9L9BGclaiU9ShpPjtL1p2apJ19E7RRp/nB3XI9YjNrlDr1dLvlesRm1iiNmzXhesRmNmyG8WSdi/6YWaM0cWjCzGyoNPHKOjOzofKi6BFL2jwiHuxHMGZmVQ3jGHHRZOdNxiyzgLuBmcAmHfabDyzKl/ldTKoufE6Xk7PdzhDE4nb8Pffy/EX5GzQuSaPAPWNWzya7OV5ExA69pf22r7MoIua4nf61U6dY3M7EtFOnWFK200RFl3Z9mqy4zwERsX1EbA8syx8nScJmZi92HRNxRHwJOBz4rKQTJG0IQ3hK0sysxgqLHUTEsog4iOwOHZcA0/oQx0K30/d26hSL25mYduoUS8p2GqfjGPELniytD+wYEUskfSgiTutfaGZmLw49JeLn7SjdGxHbJo7HzOxFp+guzje0WW6kyzKYRSTNk3SrpNslHVWyjVMlPShpSYU4tpH0X5KWSrpJ0sdLtrOepKslLc7bqVS3WdJkSb+V9KMKbdyd3337ekmLKrQzQ9K5km7J36fXl2jj5Xkca5cnJX2iRDufzN/fJZLOkrRer23k7Xw8b+OmXuMY73MnaRNJl0i6Lf9/Zok2DsrjGZXU1SyDNu38S/69ukHSBZJmlGzn83kb10u6WNJWZdpp2faPkkLSpt0c24tCwby/B4DdgJeOWbYDlieYVzgZuAPYAVgHWAzsUqKdvYDdgSUVYnkJsHv+eEPgdyVjEVnFOoCpwFXAnhXi+hTwXeBHFdq4G9g0wffr28Dh+eN1gBkJvv8rgJf2uN/WwF3A+vnXZwMfLPH6rwKWkJ33mAJcCuxc5XMHHA8clT8+CjiuRBuvBF4OXA7MqRDLW4Ep+ePjimLp0M5GLY+PBE4q006+fhvgIrJpsZU/k01Zik7WrS2Dec+Y5e78Q1LVXOD2iLgzIp4Dvgcc2GsjEfEL4NEqgUTE7yPiuvzxU8BSsh/4XtuJiFiZfzk1X0qN/0iaDbwNOLnM/ilJ2ojsh+sUgIh4LiIer9jsvsAdETF2rno3pgDrS5pClkiXl2jjlcBvIuKZiFgDXAG8s9ud23zuDiT7hUX+/zt6bSMilkZET/eEbNPOxflxAfyG7BqAMu082fLlBnTxee7wM3ki2bRYz75qUTR97cMR8as221KUwdwauK/l62WUSH6pSdoOeA1Zb7bM/pMlXQ88CFwSEaXaAb5C9qGtWmA1gIslXStpfsk2dgAeAk7Lh0pOlrRBxbjeC5zV604RcT/wJeBe4PfAExFxcYnXXwLsJWmWpGnAX5P12KrYIiJ+n8f5e2Dziu2l8nfAT8vuLOlYSfcB7wPGvZdlF20cANwfEYvLxtFUae7VU95492kZ6G9KSdOB84BPjOkJdC0iRiJiN7IeyFxJryoRx9uBByPi2jIxjPHGiNgd2B/4B0l7lWhjCtmfmt+IiNcAT5P96V2KpHWAA4BzSuw7k6znuT2wFbCBpEN7bScilpL9yX4J8DOyobE1HXcaQpIWkB3XmWXbiIgFEbFN3sZHS8QwDVhAySTedINOxMt4fg9kNuX+xExC0lSyJHxmRJxftb38T/fLgXkldn8jcICku8mGbN4i6YyScSzP/38QuIBsSKhXy8iuqlzbuz+XLDGXtT9wXUQ8UGLf/YC7IuKhiFgNnA+8oUwQEXFKROweEXuR/Sl9W5l2Wjwg6SUA+f8DLZAl6TDg7cD7IiJFJ+e7wLtK7Lcj2S/OxflnejZwnaQtE8Q09AadiK8Bdpa0fd5Dei9w4SACkSSy8c+lEXFChXY2W3t2Wtm86/2AW3ptJyL+d0TMjojtyN6Xn0dEz70+SRsouyKSfCjhrWR/kvcazwrgPkkvz1ftC9zcazstDqbEsETuXmBPSdPy79u+ZGP6PZO0ef7/tsDfVIhprQuBw/LHhwE/qNheaZLmAZ8hK1HwTIV2dm758gDKfZ5vjIjNI2K7/DO9jOzk+IqycTXKoM8Wko3L/Y5s9sSCkm2cRTZWuJrsG/zhEm28iWxY5Abg+nz56xLt7Ar8Nm9nCfDZBO/RPpScNUE2trs4X24q+x7nbe1GVlHvBuD7wMyS7UwDHgE2rhDLMWQJYQnwHWDdku38kuwXymJg36qfO7IKhZeR9awvo0OVwg5tvDN/vIps5tJFJWO5newczNrPczezHcZr57z8fb4B+CGwdZl2xmy/G8+a+ONS+oIOMzNLY9BDE2ZmL3pOxGZmA+ZEbGY2YE7EZmYD5kRsZjZgTsRmZgPmRGxmNmBOxGZmA/b/AcbHgZlVneW9AAAAAElFTkSuQmCC\n",
"text/plain": [
""
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
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CdFq+7qwOxmVm1pbRippeekWjoYlJEc+fuT0/IvbLb/9U0q21dpK0kKx+MR+YcQCHD7kUpplNjH48WNeoR7xc0nvz28skzQeQ9GJguNZO1fWInYTNbCLFqJpeekWjRPx+4PWS7gb2AX4u6R7ga/k2M7OeEtH80isa1SN+AniPpBnAHvnj10TEQxMRnJlZq3qpp9uspqavRcRTwLIOx2JmVlg/Tl/zPGIzK5VKD82GaJYTsZmVinvE45iaaER8zmDxWsKrR4YSRALTEs0E76VazQBTElWVfYqBJO0kqbOc6Jcy1Xs8OdHvQ6pzEZTodQ0maSWN0o4Rm5n1i16aDdEsJ2IzKxX3iM3Muqwy2uj0iN7jRGxmpdKPQxP996fDzKyO0VDTSyOSFki6S9JKSSd3KuZGZTBPlLRzp57czCy1CDW91CNpAPgycARZiYdjJe3TiZgb9Yj/CbhB0k8kfVDSdp0IwswslYS1Jg4EVkbEPRGxETgfOKoTMTdKxPcAO5El5P2BOyRdKen4vP7EuCQtlLRU0tIrN6xMGK6ZWX2tDE1U56p8WVjV1I7AfVX31+Trkmt0sC4iYhRYAiyRNEjWTT8W+Cwwbg85IhYDiwF+MOfYPhw6N7N+1cqsiepcNY7xxi46ks8aJeLNAomIYeBy4HJJ0zoRkJlZEQkz5Rqg+hjZTsAD6Zr/vUaJ+O21NkRE8XOOzcwSa2Y2RJNuAvaWtDtwP/AO4LhUjVdrVI/41514UjOzTklV9CciRiR9CLgKGADOjIjbkzQ+hk/oMLNSSXlx5oi4ArgiYZPjciI2s1KJcY+x9baOJ+JUZfYeGi5+bDBJWUVgpMfKVw4kOqfzWaU50XKLRGVChxPEMzVR/yhlL6uXpEpaNa8k3AUjrkdsZtZd7hGbmXVZP357cSI2s1Jxj9jMrMvcIzYz67KKe8RmZt3Vh1dKqp+IJU0hO63vgYi4RtJxwGuAFcDivPaEmVnPGC1hj/is/DFDko4HpgOXAIeS1eo8vrPhmZm1ph/LPTZKxH8UEftKmkxW9GKHiKhIOgdYVmunvKbnQoAPzZjPEdP2TBawmVk9/XiwrtGpS5Py4YkZwBAwM18/FRistVNELI6I+REx30nYzCbSqNT00isa9Yi/DtxJVnloEXChpHuAg8guG2Jm1lMq3Q6gDY3KYH5e0nfy2w9IOhs4DPhaRNw4EQGambWidLMmIEvAVbd/B1zU0YjMzAoo46wJM7O+UsZZE2ZmfaWUQxNFpalwC8MJ3twZMVK8EeAJ1Zww0pJUp2KmOvqbrCeR6BdhMEFd4+FEwQwkendS/T6kqvOdqkBOqteVQj9OX3OP2MxKpeIesZlZd7lHbGbWZU7EZmZd1oeXrHMiNrNyKWWPWNKewFuBnYER4DfAeRHxRIdjMzNrWT+e4lx31omkE4GvAFsABwDTyBLyzyUd0vHozMxaNKrml17RaPrfCcCCiPhnshoT+0TEImAB8PlaO0laKGmppKVXbLg7XbRmZg2MtrD0imbmYW8avphKVg6TiFhNk2Uw3+QymGY2gfoxETcaIz4DuEnSL4CDgdMAJG0HPNbh2MzMWla6WhMR8UVJ1wAvAz4XEXfm6x8mS8xmZj2ll8Z+m9VMGczbgdsnIBYzs8L6cdaE5xGbWamM9uHghBOxmZVKLx2Ea1bHE/F69U6BvPsHpiZpZ9pomh91qndmUqIeQKorGzwyMJCknRRjfYOJOkfbj6QpoTol0RfnSqJPT6re42APpb/+6w+7R2xmJdM7fxKa50RsZqUyoonpE0uax+/PPB4BPtjuRZV7Z9zAzCyBaGEp6HTg1IiYB3wyv98W94jNrFQmcGgigK3y2zOBB+o8ti4nYjMrlQmcvnYScJWkz5KNLrym3YaciM2sVFpJw5IWAgurVi2OiMVV268B5o6z6yLgUOCjEXGxpLcBXycrjtYyJ2IzK5VWhibypLu4zvaaiVXS2cBH8rsXktXmaYsP1plZqVSIppeCHgBen99+I9lFM9rSqDD8TEn/KulOSY/my4p83dZ19nu+HvGS9Svbjc3MrGUTWAbzBODfJS0DPsPmQxwtadQjvgB4HDgkImZHxGzgDfm6C2vtVF2P+PChvdqNzcysZdHCv0LPE/HTiNg/Iv44Il4VETe321ajRLxbRJwWEWurnnxtRJwG7NLuk5qZdUo/FoZvlIh/K+njkuZsWiFpjqRPAPd1NjQzs9aNEk0vvaJRIn47MBu4XtJjkh4DrgO2AY7pcGxmZi2bwDPrkml0hY7HgU/ky2YkvRc4q0NxmZm1ZaSnUmxzikxfOzVZFGZmiUzUwbqU6vaIJd1WaxMwp8a2zQwmerHPJqhrPD1RHeFUP765k55N0s6amJaknVR1luckqt1bUfGCxNswnCASuGNwiyTtbF1JU6t5xmiausbDCd5jgEm9k9N66iBcsxqdWTcH+DOy6WrVBPysIxGZmRXQSz3dZjVKxN8HpkfErWM3SLquIxGZmRVQuh5xRLyvzrbj0odjZlZMJcrXIzYz6yu9ND+4WU7EZlYqZRwjNjPrK6UbIzYz6zf9ODTRkXrE1WUwr3QZTDObQP14QkfbiVjSD2ttqy6DucBlMM1sAlUiml56RaMz6/artQmYlz4cM7Ni+nFootEY8U3A9WSJd6yaV+gwM+uWMh6sWwF8ICL+4FpMklyP2Mx6Ti+N/TarUSL+FLXHkT+cNhQzs+JKNzQRERfV2TwrcSxmZoVFDx2Ea1aRecSn0kRh+FRlCB+KKYXbqAAPTy4+Y2+7kTSjUI9WpiZpZ1C99cEbTlCyNJVHKP65AdhtOM3nOMY93NK6udOeSdLOYxvSlPdcM5Dms5xCpWw94hT1iHtJiiRsZr2tdEMTuB6xmfWZMg5NuB6xmfWV0vWIXY/YzPpNGaevmZn1lV46dblZTsRmViqlG5owM+s3TsRmZl3Wj7Mm6k6slbSVpH+R9C1Jx43Z9p919nu+HvFl6+9JFauZWUOjRNNLr2h0hsNZZHOGLwbeIeliSZtOoTmo1k7V9YiPGtojUahmZo31Y2H4RkMTe0bEX+S3vytpEfAjSUd2OC4zs7ZUov8KYTZKxFMlTYrIXllEfFrSGuDHwPSOR2dm1qLSjRED3wPeWL0iIr4J/C2wsVNBmZm1qx/HiBudWffxGuuvlPSZzoRkZta+Xhr7bVaRcmSnJovCzCyR0YimlyIkHSPpdkmjkuaP2bavpJ/n238lqW690Y6XwRyYlGbgfDiK13H949H1CSKBh0lTe3XWpDSjO5HgvQF4TINJ2hlMdLBkiErhNp5lIEEksG4gzXuzXWUkSTtPPds79X8B9hl4qtshPG8Ce8TLgT8Hvlq9UtJk4BzgryJimaTZUL8wu8tgmlmpTNSsiYhYASD9QUfocOC2iFiWP+7RRm25DKaZlUorQw6SFgILq1YtjojFBUN4MRCSrgK2A86PiNPr7eAymGZWKq0MTeRJt2bilXQNMHecTYsi4rIau00GXgscAKwHrpV0c0RcW+t5XGvCzEql6EG4ahFxWBu7rQGuj4hHACRdAewH1EzEvoibmZVKD5zifBWwr6Sh/MDd64E76u3gRGxmpVKJStNLEZLemp9p/GrgB/mYMBHxOPA54CbgVuCWiPhBvbY8NGFmpTJRpzhHxKXApTW2nUM2ha0pHekRV5fB/O76ezvxFGZm4+rHU5wb1SOeK+m/JH1Z0mxJn8rPErlA0otq7VddBvPood3TR21mVkNENL30ikY94m+QDTLfB/w3sAF4M/AT4CsdjczMrA0TdYpzSg3PrIuI/wCQ9MGIOC1f/x+Sas4xNjPrln4s+tMoEVf3mM8esy3NSfxmZgmVsTD8ZZKmR8TTEfGPm1ZK2gu4q7OhmZm1rpfGfpvV6BTnT9ZYv1JS3XlxZmbd0Etjv81yPWIzK5V+nDXR8XrE98W0VmMa19QEb9qygaEEkcCUNOV/oTIlUUO9ZaPSTE9PUWd5NNHPalaiOsJKdCApVZ1vJaplfd/wlkna2S9BG700P7hZrkdsZqXSSz3dZrkesZmVSulmTbgesZn1m348WOeiP2ZWKmUcmjAz6ytlPLPOzKyvvCB6xJK2j4h1nQjGzKyofhwjbjTZeZsxy2xgFTAL2KbOfguBpfmysIlJ1Q0f0+TkbLfTB7G4Hf/MvWy+KH+DxiVpFPjtmNU7kV0cLyJij9bSfs3nWRoR891O59rppVjczsS000uxpGynjBqdAvVxsuI+R0bE7hGxO7Amv50kCZuZvdDVTcQR8Vng/cAnJX1O0gzow0OSZmY9rGFRgIhYExHHkF2h42ogTcGGzS12Ox1vp5dicTsT004vxZKyndKpO0b8Bw+WpgF7RsRySe+NiLM6F5qZ2QtDS4l4sx2l1RGxS+J4zMxecBpdxfm2GsuvaLIMZiOSFki6S9JKSSe32caZktZJWl4gjp0l/bekFZJul/SRNtvZQtKNkpbl7RSq2yxpQNIvJX2/QBur8qtv3yppaYF2tpZ0kaQ78/fp1W208ZI8jk3Lk5JOaqOdj+bv73JJ50naotU28nY+krdxe6txjPe5k7SNpKsl/Sb/f1YbbRyTxzMqqalZBjXa+bf8Z3WbpEslbd1mO/+Ut3GrpCWSdminnaptfycpJG3bzGt7QWgw7+8hYB6w65hlN+CBBPMKB4C7gT2AKcAyYJ822jmYrJTp8gKxvAjYL789A/h1m7GIrGIdwCBwA3BQgbg+BpwLfL9AG6uAbRP8vL4JvD+/PQXYOsHPfy2wa4v77QjcC0zL718AvKeN538FsJzsuMdk4Bpg7yKfO+B04OT89snAaW208TLgJcB1wPwCsRwOTM5vn9YoljrtbFV1+0TgK+20k6/fGbiKbFps4c9kWZZGB+s2lcH87ZhlVf4hKepAYGVE3BMRG4HzgaNabSQifgw8ViSQiHgwIm7Jbz8FrCD7hW+1nYiIp/O7g/nS1viPpJ2ANwNntLN/SpK2Ivvl+jpARGyMiN8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"text/plain": [
""
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"fig, axes = plt.subplots()\n",
"for idx, c in enumerate(range(CYCLE_NUMS-1)):\n",
" if cycle == 8:\n",
" pass\n",
" if cycle == 9:\n",
" pass\n",
" else:\n",
" tmats = iter(glob.glob(f'tmat_Cyc_{c+1}/*'))\n",
" dfX = pd.DataFrame(0, index=['0','1','2', '3', '4', '5', '6', '7', '8', '9', '10', '11', '12', '13', '14'], \n",
" columns=['0','1','2', '3', '4', '5', '6', '7', '8', '9', '10', '11', '12', '13', '14'])\n",
" dfY = pd.DataFrame(0, index=['0','1','2', '3', '4', '5', '6', '7', '8', '9', '10', '11', '12', '13', '14'], \n",
" columns=['0','1','2', '3', '4', '5', '6', '7', '8', '9', '10', '11', '12', '13', '14'])\n",
" for sFOV in range(0,NUM_FOVS):\n",
" tmat_name = next(tmats)\n",
" tmat_loaded = np.load(tmat_name)\n",
" moveX = tmat_loaded[0,2]\n",
" moveY = tmat_loaded[1,2]\n",
"\n",
" col = str(int(tmat_name.split('_')[6]))\n",
" row = str(int(tmat_name.split('_')[7][0:3]))\n",
"\n",
" dfX.loc[row, col] = moveX\n",
" dfY.loc[row, col] = moveY\n",
" fig, axes = plt.subplots()\n",
" sns.heatmap(dfY, vmin=-20, vmax=20)\n",
" pl.suptitle(f\"Cycle {c+1} Y-shift\")"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "2f87fee3d9df42eda27f2db517a4ef5c",
"version_major": 2,
"version_minor": 0
},
"text/plain": [
"HBox(children=(IntProgress(value=0, max=12), HTML(value='')))"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\n"
]
}
],
"source": [
"# We are trying to look for registered binaries that have intensity percentage less than 0.1 percent (< 0.001)\n",
"\n",
"hist = pd.DataFrame()\n",
"\n",
"err_lst = []\n",
"for c in tqdm(range(CYCLE_NUMS-1)): \n",
" binas = iter(glob.glob(f'reg_bin_Cyc_{c+1}/*')) \n",
" if c == 7:\n",
" for FOV in range(0, NUM_FOVS): # \n",
" #sFOV = str(FOV).zfill(NUM_DIGITS_OF_FOVS)\n",
" bina_name = next(binas)\n",
" bina = imread(bina_name)\n",
" bina = bina.astype(np.uint16)\n",
" FOV_num = bina_name[-15:-12]\n",
"\n",
" percentage = (np.sum(bina))/(2048*2048) \n",
"\n",
" if percentage < 0.001:\n",
" err_lst.append(bina_name)\n",
"\n",
" hist.loc[FOV_num, f'{c+1}'] = percentage # this is the table of percent of signal in images\n",
" if c == 10:\n",
" for FOV in range(0, NUM_FOVS): # \n",
" #sFOV = str(FOV).zfill(NUM_DIGITS_OF_FOVS)\n",
" bina_name = next(binas)\n",
" bina = imread(bina_name)\n",
" bina = bina.astype(np.uint16)\n",
" FOV_num = bina_name[-15:-12]\n",
"\n",
" percentage = (np.sum(bina))/(2048*2048) \n",
"\n",
" if percentage < 0.001:\n",
" err_lst.append(bina_name)\n",
"\n",
" hist.loc[FOV_num, f'{c+1}'] = percentage # this is the table of percent of signal in images\n",
" else:\n",
" continue"
]
},
{
"cell_type": "code",
"execution_count": 14,
"metadata": {},
"outputs": [
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "06e39e21a9184934b38e91919e607dc0",
"version_major": 2,
"version_minor": 0
},
"text/plain": [
"HBox(children=(IntProgress(value=0, max=11), HTML(value='')))"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\n"
]
}
],
"source": [
"# We are trying to look for registered binaries that have intensity percentage less than 0.1 percent (< 0.001)\n",
"\n",
"hist = pd.DataFrame()\n",
"err_lst = []\n",
"min_lst = []\n",
"max_lst = []\n",
"\n",
"for c in tqdm(range(CYCLE_NUMS-1)): \n",
" if c == 8:\n",
" continue\n",
" if c == 9:\n",
" continue\n",
" else:\n",
" binas = iter(glob.glob(f'reg_bin_Cyc_{c+1}/*')) \n",
" for FOV in range(0, NUM_FOVS): # \n",
" #sFOV = str(FOV).zfill(NUM_DIGITS_OF_FOVS)\n",
" bina_name = next(binas)\n",
" bina = imread(bina_name)\n",
" bina = bina.astype(np.uint16)\n",
" FOV_num = bina_name[-15:-12]\n",
"\n",
" percentage = (np.sum(bina))/(2048*2048) \n",
"\n",
" if percentage < 0.001:\n",
" err_lst.append(bina_name)\n",
" if percentage < 0.01:\n",
" min_lst.append(bina_name)\n",
" if percentage > 0.2:\n",
" max_lst.append(bina_name)\n",
"\n",
" hist.loc[FOV_num, f'{c+1}'] = percentage # this is the table of percent of signal in images \n",
"hist.to_csv('reg_bin_df.csv')"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {
"scrolled": true
},
"outputs": [
{
"data": {
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" 0.051131 | \n",
" 0.050661 | \n",
" 0.050302 | \n",
" 0.050036 | \n",
" 0.049797 | \n",
" 0.049835 | \n",
" 0.049931 | \n",
" 0.046413 | \n",
" 0.049438 | \n",
"
\n",
" \n",
" | 224 | \n",
" 0.033843 | \n",
" 0.033381 | \n",
" 0.033133 | \n",
" 0.032814 | \n",
" 0.032604 | \n",
" 0.032505 | \n",
" 0.032394 | \n",
" 0.030401 | \n",
" 0.032458 | \n",
"
\n",
" \n",
"
\n",
"
219 rows × 9 columns
\n",
"
"
]
},
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{
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\n",
"text/plain": [
""
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},
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{
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\n",
"text/plain": [
""
]
},
"metadata": {
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},
"output_type": "display_data"
},
{
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\n",
"text/plain": [
""
]
},
"metadata": {
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},
"output_type": "display_data"
},
{
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\n",
"text/plain": [
""
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
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\n",
"text/plain": [
""
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
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\n",
"text/plain": [
""
]
},
"metadata": {
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},
"output_type": "display_data"
},
{
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aDL4CQZIKZ9BLUuEMekkqnEEvSYUz6CWpcAa9JBXOoJekwhn0klQ4g16SCmfQS1LhDHpJKpzvulkhTd9nP2j7kTS4PKOXpMIZ9JJUOINekgpn0EtS4Qx6SSqcQS9JhTPoJalwjYM+IrZFxExEbImITR3WR0T8YURsjYjvRsRPNd2nJKl7S/UHU5OZ+egC684Ejq8+bwD+uPoqSeqDfly6ORu4Pud8EzgsIl7dh/1KkoDIzGYbiHgIeAJI4JOZuaFt/S3A5Zl5RzX/FeB3MnNTW7v1wHqA0dHRtVNTU7XGMzs7y8jISK2+vZjZsXvZ9zF6MOx6dtl307U1q1ftNd/+PWhfP285jknrvhfa73Lo17+vfiilllLqgGa1TE5Obs7M8U7rluLSzWmZuTMiXglsjIh7M/P2lvXRoc8+P12qHxAbAMbHx3NiYqLWYKanp6nbtxcX9uEdMpes2cMVM4PzOqJt50/sNd/+PWhfP285jknrvhfa73Lo17+vfiilllLqgOWrpfGlm8zcWX19BLgJOLWtyXbgmJb5o4GdTfcrSepOo6CPiEMi4tD5aeB04K62ZjcDF1RP3/xTYHdmPtxkv5Kk7jW9LjAK3BQR89v6bGZ+KSLeB5CZVwO3AWcBW4FngF9puE9JUg8aBX1mPgi8vsPyq1umE7i4yX4kSfX5l7GSVDiDXpIKZ9BLUuEMekkqnEEvSYUz6CWpcIPz9/UaeGM9vvZhvv0la/bs+7qEy9+2ZOOStH+e0UtS4Qx6SSqcQS9JhTPoJalwBr0kFc6gl6TCGfSSVDiDXpIKZ9BLUuEMekkqnK9A6EGvrwB4oRmU789i49jf6xfa+/qqBpXAM3pJKpxBL0mFqx30EXFMRHwtIu6JiLsj4t91aDMREbsjYkv1+WCz4UqSetXkGv0e4JLMvDMiDgU2R8TGzPxeW7uvZ+bbG+xHktRA7TP6zHw4M++spp8C7gFWL9XAJElLIzKz+UYixoDbgZMz88mW5RPAnwPbgZ3Ab2Xm3QtsYz2wHmB0dHTt1NRUrbHMzs4yMjJSq+9iZnbsXpbtLmT0YNj1bF93uSw61bFm9apG22w9Fu3bWuw47W/f7X3b2y7nv69+K6WWUuqAZrVMTk5uzszxTusaB31EjAB/A3w0M7/Qtu5lwPOZORsRZwGfyMzjF9vm+Ph4btq0qdZ4pqenmZiYqNV3Mf1+fPCSNXu4Ymb4n4DtVEfTxxZbj0X7tpbz8crl/PfVb6XUUkod0KyWiFgw6Bs9dRMRL2LujP0z7SEPkJlPZuZsNX0b8KKIOLLJPiVJvWny1E0AnwbuycyPL9DmVVU7IuLUan+P1d2nJKl3Ta4LnAa8G5iJiC3Vsn8PHAuQmVcD5wDvj4g9wLPAubkUNwUkSV2rHfSZeQcQi7S5Eriy7j4kSc0N/50+veD1epO8l/fZtLe99oxDlmxbvkdH/eIrECSpcAa9JBXOoJekwhn0klQ4g16SCmfQS1LhDHpJKpxBL0mFM+glqXAGvSQV7gX1CoRe31Pe7/fPv5AM6/d2ZsduLuxy7Mv5aoal5KsZyucZvSQVzqCXpMIZ9JJUOINekgpn0EtS4Qx6SSqcQS9JhWsU9BFxRkTcFxFbI+LSDutfEhE3Vuv/V0SMNdmfJKl3tYM+Ig4ArgLOBE4EzouIE9uaXQQ8kZmvA/4A+M919ydJqqfJGf2pwNbMfDAz/x6YAs5ua3M2cF01/WfAmyIiGuxTktSjJkG/Gvh+y/z2alnHNpm5B9gNvLzBPiVJPYrMrNcx4l3AWzPzPdX8u4FTM/PftrS5u2qzvZp/oGrzWIftrQfWV7MnAPfVGhgcCTxas++gKaWWUuoAaxlEpdQBzWp5TWa+otOKJi812w4c0zJ/NLBzgTbbI+JAYBXweKeNZeYGYEOD8QAQEZsyc7zpdgZBKbWUUgdYyyAqpQ5YvlqaXLr5NnB8RBwXES8GzgVubmtzM7Cumj4H+GrW/RVCklRL7TP6zNwTER8AvgwcAFyTmXdHxEeATZl5M/Bp4E8iYitzZ/LnLsWgJUnda/Q++sy8DbitbdkHW6Z/CLyryT5qaHz5Z4CUUkspdYC1DKJS6oBlqqX2zVhJ0nDwFQiSVLihCfomr1uIiN+tlt8XEW/t57g7qVtLRIxFxLMRsaX6XN3vsbfropY3RsSdEbEnIs5pW7cuIu6vPuva+/ZTwzqeazkm7Q8k9F0XtfxmRHwvIr4bEV+JiNe0rBuYY1KNp0ktw3Zc3hcRM9V472h900DjDMvMgf8wd7P3AeC1wIuB7wAntrX5NeDqavpc4MZq+sSq/UuA46rtHDCktYwBd6308eixljHgJ4HrgXNalh8BPFh9PbyaPnzY6qjWza70seixlkngpdX0+1v+fQ3MMWlay5Ael5e1TL8D+FI13TjDhuWMvsnrFs4GpjLzR5n5ELC12t5KKenVEYvWkpnbMvO7wPNtfd8KbMzMxzPzCWAjcEY/Bt1BkzoGTTe1fC0zn6lmv8nc38DAYB0TaFbLoOmmlidbZg8B5m+gNs6wYQn6Jq9b6KZvPzV9dcRxEfG/I+JvIuKfL/dgF9HkeztIx6XpWA6KiE0R8c2IeOfSDq1nvdZyEfDFmn2XW5NaYAiPS0RcXL1B4GPAr/fSd38aPV7ZR53OZtsfF1qoTTd9+6lJLQ8Dx2bmYxGxFvgfEXFS25lAPzX53g7ScWk6lmMzc2dEvBb4akTMZOYDSzS2XnVdS0T8MjAO/FyvffukSS0whMclM68CroqIXwJ+j7k/OG18XIbljL6X1y0Qe79uoZu+/VS7lupXt8cAMnMzc9fq/vGyj3hhTb63g3RcGo0lM3dWXx8EpoF/spSD61FXtUTEm4HLgHdk5o966dtHTWoZyuPSYgqY/y2k+XFZ6ZsUXd7IOJC5G0PH8eMbGSe1tbmYvW9gfq6aPom9b2Q8yMrejG1Syyvmx87cTZ0dwBGDXEtL22vZ92bsQ8zd9Du8ml6RWhrWcTjwkmr6SOB+2m6yDVotzAXeA8DxbcsH5pgsQS3DeFyOb5n+eebeMLAkGbYiRdf8Rp0F/G11UC+rln2EuZ/iAAcBn2fuRsW3gNe29L2s6ncfcOaw1gL8AnB3ddDvBH5+CGr5aebOSJ4GHgPubun7q1WNW4FfGcY6gJ8FZqpjMgNcNATH5K+BXcCW6nPzIB6TJrUM6XH5RPXf9xbga7T8IGiaYf5lrCQVbliu0UuSajLoJalwBr0kFc6gl6TCGfSSVDiDXpIKZ9BLUuEMekkq3P8DI1GFTBF1YxEAAAAASUVORK5CYII=\n",
"text/plain": [
""
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
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\n",
"text/plain": [
""
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
"image/png": "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\n",
"text/plain": [
""
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"import pylab as pl\n",
"fig, axes = plt.subplots()\n",
"for c in range(CYCLE_NUMS-1):\n",
" if c == 8:\n",
" continue\n",
" if c == 9:\n",
" continue\n",
" else:\n",
" hist.hist(column=f'{c+1}', bins = 80, range=[0, 0.3])\n",
" pl.suptitle(f\"Cycle {c+1}\")\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
""
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},
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},
{
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\n",
"text/plain": [
""
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"for c in range(CYCLE_NUMS-1):\n",
" if c == 7:\n",
" hist.hist(column=f'{c+1}', bins = 150, range=[0, 0.3])\n",
" pl.suptitle(f\"Cycle {c+1}\")\n",
" if c == 10:\n",
" hist.hist(column=f'{c+1}', bins = 150, range=[0, 0.3])\n",
" pl.suptitle(f\"Cycle {c+1}\")\n",
" else:\n",
" continue\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"# finding the intensity sums of each image and finding which z stack is the max\n",
"df = pd.DataFrame()\n",
"\n",
"for c in range(CYCLE_NUMS):\n",
" if c == 0:\n",
" refs = iter(glob.glob('tif/Cycle_0/*'))\n",
" for FOV in range(0, NUM_FOVS): \n",
" ref_name = next(refs) \n",
" ref = imread(ref_name)\n",
" ref = ref.astype(np.uint16)\n",
" FOV_num = ref_name[-7:-4]\n",
" print(f'cycle {c} field {FOV_num} ')\n",
"\n",
" Z_ch0 = []\n",
" Z_ch0_dic = {}\n",
"\n",
" for Z in range(ref.shape[0]): # Z \n",
" for ch in range(0, 1):\n",
" arsum = np.sum(ref[Z, ch, ...])\n",
" Z_ch0.append(arsum)\n",
" Z_ch0_dic[arsum] = Z\n",
"\n",
" df.loc[FOV_num, 'max_int_C0'] = max(Z_ch0) \n",
" df.loc[FOV_num, 'z_idx_C0'] = Z_ch0_dic[max(Z_ch0)] \n",
" else:\n",
" ims = iter(glob.glob(f'reg_Cyc_{c}/*')) # cycle 1, 2, 3, .tif list --> FOV000, 001, (002 = error) 005 006 \n",
" for FOV in range(0, NUM_FOVS): # \n",
" #sFOV = str(FOV).zfill(NUM_DIGITS_OF_FOVS)\n",
" im_name = next(ims)\n",
" im = imread(im_name)\n",
" im = im.astype(np.uint16)\n",
" FOV_num = im_name[-11:-8]\n",
" print(f'cycle {c} field {FOV_num} ')\n",
"\n",
" Z_ch0 = []\n",
" Z_ch0_dic = {}\n",
"\n",
" for Z in range(im.shape[0]): # Z \n",
" for ch in range(0, 1):\n",
" arsum = np.sum(im[Z, ch, ...])\n",
" Z_ch0.append(arsum)\n",
" Z_ch0_dic[arsum] = Z\n",
"\n",
" df.loc[FOV_num, f'max_int_C{c}'] = max(Z_ch0) \n",
" df.loc[FOV_num, f'z_idx_C{c}'] = Z_ch0_dic[max(Z_ch0)] "
]
},
{
"cell_type": "code",
"execution_count": 15,
"metadata": {},
"outputs": [
{
"data": {
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