optimizing.ipynb

{
  "cells": [
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "y9nBf6VDXvWo"
      },
      "outputs": [],
      "source": [
        "if 'google.colab' in str(get_ipython()):\n",
        "  !wget https://raw.githubusercontent.com/iliya-malecki/ggol/main/rules.py\n",
        "  !wget https://raw.githubusercontent.com/iliya-malecki/ggol/main/matrix_automata.py\n",
        "  !pip install optuna"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 74,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "cE6169Rs5qa7",
        "outputId": "45cd05fe-4130-4b15-886e-ad61ee215940"
      },
      "outputs": [
        {
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "[I 2023-07-09 17:21:00,128] A new study created in memory with name: no-name-e2ef085e-27ef-4c8b-b0a1-d4b75120ffad\n",
            "[I 2023-07-09 17:21:00,169] Trial 0 pruned. \n",
            "[I 2023-07-09 17:21:00,237] Trial 1 pruned. \n",
            "[I 2023-07-09 17:21:00,372] Trial 2 pruned. \n",
            "[I 2023-07-09 17:21:01,727] Trial 3 pruned. \n",
            "[I 2023-07-09 17:21:01,773] Trial 4 pruned. \n",
            "[I 2023-07-09 17:21:01,861] Trial 5 pruned. \n",
            "[I 2023-07-09 17:21:25,294] Trial 6 finished with values: [0.04438313738097136, 0.1127995178103447] and parameters: {'corner': 0.9584881154929366, 'side': -0.2153629109819024, 'center': -0.679569675913283}. \n",
            "[I 2023-07-09 17:21:25,342] Trial 7 pruned. \n",
            "[I 2023-07-09 17:21:49,338] Trial 8 finished with values: [0.231275428688287, 0.15063531696796417] and parameters: {'corner': -0.6171995674176125, 'side': 0.9644903201473634, 'center': 0.7074618962087693}. \n",
            "[I 2023-07-09 17:21:49,379] Trial 9 pruned. \n",
            "[I 2023-07-09 17:21:49,437] Trial 10 pruned. \n",
            "[I 2023-07-09 17:22:12,980] Trial 11 finished with values: [0.20952757452049142, 0.08406365662813187] and parameters: {'corner': -0.7364811393552451, 'side': 0.22571903052686504, 'center': -0.2069795008895432}. \n",
            "[I 2023-07-09 17:22:13,028] Trial 12 pruned. \n",
            "[I 2023-07-09 17:22:13,120] Trial 13 pruned. \n",
            "[I 2023-07-09 17:22:13,169] Trial 14 pruned. \n",
            "[I 2023-07-09 17:22:13,208] Trial 15 pruned. \n",
            "[I 2023-07-09 17:22:13,272] Trial 16 pruned. \n",
            "[I 2023-07-09 17:22:36,397] Trial 17 finished with values: [0.14330221367811055, 0.08980228006839752] and parameters: {'corner': -0.14997814410194366, 'side': 0.7599417290297485, 'center': -0.33047641529564453}. \n",
            "[I 2023-07-09 17:22:36,503] Trial 18 pruned. \n",
            "[I 2023-07-09 17:22:36,614] Trial 19 pruned. \n",
            "[I 2023-07-09 17:22:36,708] Trial 20 pruned. \n",
            "[I 2023-07-09 17:22:36,902] Trial 21 pruned. \n",
            "[I 2023-07-09 17:22:36,966] Trial 22 pruned. \n",
            "[I 2023-07-09 17:22:37,026] Trial 23 pruned. \n",
            "[I 2023-07-09 17:22:58,860] Trial 24 finished with values: [0.17580572872774514, 0.06277074664831161] and parameters: {'corner': -0.7527885325824277, 'side': 0.17720167559472078, 'center': -0.05956538997476302}. \n",
            "[I 2023-07-09 17:22:58,943] Trial 25 pruned. \n",
            "[I 2023-07-09 17:22:59,006] Trial 26 pruned. \n",
            "[I 2023-07-09 17:22:59,046] Trial 27 pruned. \n",
            "[I 2023-07-09 17:23:23,225] Trial 28 finished with values: [0.21421599625933596, 0.16111254692077637] and parameters: {'corner': -0.5432457655120051, 'side': 0.8743624336097406, 'center': 0.5196327092098714}. \n",
            "[I 2023-07-09 17:23:23,249] Trial 29 pruned. \n",
            "[I 2023-07-09 17:23:23,300] Trial 30 pruned. \n",
            "[I 2023-07-09 17:23:23,561] Trial 31 pruned. \n",
            "[I 2023-07-09 17:23:23,602] Trial 32 pruned. \n",
            "[I 2023-07-09 17:23:23,654] Trial 33 pruned. \n",
            "[I 2023-07-09 17:23:23,741] Trial 34 pruned. \n",
            "[I 2023-07-09 17:23:48,072] Trial 35 finished with values: [0.3105398377072339, 0.14276348054409027] and parameters: {'corner': -0.8785631888540857, 'side': 0.6407681407894907, 'center': -0.9043002903461068}. \n",
            "[I 2023-07-09 17:23:48,114] Trial 36 pruned. \n",
            "[I 2023-07-09 17:23:48,174] Trial 37 pruned. \n",
            "[I 2023-07-09 17:24:10,377] Trial 38 finished with values: [0.7361239135343864, 0.07391736656427383] and parameters: {'corner': -0.7230850622601697, 'side': -0.2117276770300831, 'center': 0.7232567105344978}. \n",
            "[I 2023-07-09 17:24:10,428] Trial 39 pruned. \n",
            "[I 2023-07-09 17:24:31,080] Trial 40 finished with values: [0.7809432428083262, 0.017714256420731544] and parameters: {'corner': 0.28907794171681167, 'side': 0.7642198940382936, 'center': -0.9366217056810369}. \n",
            "[I 2023-07-09 17:24:31,142] Trial 41 pruned. \n",
            "[I 2023-07-09 17:24:31,182] Trial 42 pruned. \n",
            "[I 2023-07-09 17:24:31,254] Trial 43 pruned. \n",
            "[I 2023-07-09 17:24:31,314] Trial 44 pruned. \n",
            "[I 2023-07-09 17:24:31,393] Trial 45 pruned. \n",
            "[I 2023-07-09 17:24:31,532] Trial 46 pruned. \n",
            "[I 2023-07-09 17:24:32,412] Trial 47 pruned. \n",
            "[I 2023-07-09 17:24:32,496] Trial 48 pruned. \n",
            "[I 2023-07-09 17:24:32,585] Trial 49 pruned. \n",
            "[I 2023-07-09 17:24:32,671] Trial 50 pruned. \n",
            "[I 2023-07-09 17:24:32,797] Trial 51 pruned. \n",
            "[I 2023-07-09 17:24:32,883] Trial 52 pruned. \n",
            "[I 2023-07-09 17:24:32,969] Trial 53 pruned. \n",
            "[I 2023-07-09 17:24:33,202] Trial 54 pruned. \n",
            "[I 2023-07-09 17:24:33,383] Trial 55 pruned. \n",
            "[I 2023-07-09 17:24:34,598] Trial 56 pruned. \n",
            "[I 2023-07-09 17:24:56,170] Trial 57 finished with values: [0.061010797552951454, 0.11036159843206406] and parameters: {'corner': -0.9957396435681432, 'side': 0.3515331865452398, 'center': 0.7290957913559408}. \n",
            "[I 2023-07-09 17:24:56,244] Trial 58 pruned. \n",
            "[I 2023-07-09 17:24:56,283] Trial 59 pruned. \n",
            "[I 2023-07-09 17:24:56,319] Trial 60 pruned. \n",
            "[I 2023-07-09 17:24:56,450] Trial 61 pruned. \n",
            "[I 2023-07-09 17:25:19,104] Trial 62 finished with values: [0.033402566293371225, 0.11087489873170853] and parameters: {'corner': 0.7810435872218029, 'side': -0.30467413188888637, 'center': -0.3714459289991834}. \n",
            "[I 2023-07-09 17:25:19,487] Trial 63 pruned. \n",
            "[I 2023-07-09 17:25:19,562] Trial 64 pruned. \n",
            "[I 2023-07-09 17:25:19,602] Trial 65 pruned. \n",
            "[I 2023-07-09 17:25:19,745] Trial 66 pruned. \n",
            "[I 2023-07-09 17:25:42,158] Trial 67 finished with values: [0.07426282956273132, 0.11670161783695221] and parameters: {'corner': -0.8920062029275018, 'side': 0.4658577293481181, 'center': 0.2487922876914197}. \n",
            "[I 2023-07-09 17:25:42,233] Trial 68 pruned. \n",
            "[I 2023-07-09 17:26:04,451] Trial 69 finished with values: [0.19827298637261268, 0.11321868747472763] and parameters: {'corner': -0.6200486289554812, 'side': 0.10562372226108341, 'center': -0.9015703242537734}. \n",
            "[I 2023-07-09 17:26:04,501] Trial 70 pruned. \n",
            "[I 2023-07-09 17:26:26,447] Trial 71 finished with values: [0.680079692792556, 0.054037418216466904] and parameters: {'corner': 0.4450490791169679, 'side': 0.3934861919898005, 'center': -0.608124592611277}. \n",
            "[I 2023-07-09 17:26:26,993] Trial 72 pruned. \n",
            "[I 2023-07-09 17:26:27,038] Trial 73 pruned. \n",
            "[I 2023-07-09 17:26:27,092] Trial 74 pruned. \n",
            "[I 2023-07-09 17:26:27,133] Trial 75 pruned. \n",
            "[I 2023-07-09 17:26:27,186] Trial 76 pruned. \n",
            "[I 2023-07-09 17:26:49,318] Trial 77 finished with values: [0.7168800585613645, 0.02531495876610279] and parameters: {'corner': -0.2002521555365786, 'side': -0.6487151216947784, 'center': 0.5498390771424051}. \n",
            "[I 2023-07-09 17:26:49,365] Trial 78 pruned. \n",
            "[I 2023-07-09 17:26:49,464] Trial 79 pruned. \n",
            "[I 2023-07-09 17:26:49,573] Trial 80 pruned. \n",
            "[I 2023-07-09 17:26:49,613] Trial 81 pruned. \n",
            "[I 2023-07-09 17:26:49,668] Trial 82 pruned. \n",
            "[I 2023-07-09 17:26:49,732] Trial 83 pruned. \n",
            "[I 2023-07-09 17:26:49,867] Trial 84 pruned. \n",
            "[I 2023-07-09 17:26:49,921] Trial 85 pruned. \n",
            "[I 2023-07-09 17:26:49,981] Trial 86 pruned. \n",
            "[I 2023-07-09 17:26:50,017] Trial 87 pruned. \n",
            "[I 2023-07-09 17:26:50,080] Trial 88 pruned. \n",
            "[I 2023-07-09 17:26:50,857] Trial 89 pruned. \n",
            "[I 2023-07-09 17:26:50,907] Trial 90 pruned. \n",
            "[I 2023-07-09 17:26:50,974] Trial 91 pruned. \n",
            "[I 2023-07-09 17:26:51,027] Trial 92 pruned. \n",
            "[I 2023-07-09 17:26:51,083] Trial 93 pruned. \n",
            "[I 2023-07-09 17:26:51,138] Trial 94 pruned. \n",
            "[I 2023-07-09 17:26:51,197] Trial 95 pruned. \n",
            "[I 2023-07-09 17:26:51,235] Trial 96 pruned. \n",
            "[I 2023-07-09 17:26:51,292] Trial 97 pruned. \n",
            "[I 2023-07-09 17:26:51,339] Trial 98 pruned. \n",
            "[I 2023-07-09 17:26:51,378] Trial 99 pruned. \n",
            "[I 2023-07-09 17:26:51,917] Trial 100 pruned. \n",
            "[I 2023-07-09 17:26:51,995] Trial 101 pruned. \n",
            "[I 2023-07-09 17:26:52,069] Trial 102 pruned. \n",
            "[I 2023-07-09 17:26:52,169] Trial 103 pruned. \n",
            "[I 2023-07-09 17:26:52,254] Trial 104 pruned. \n",
            "[I 2023-07-09 17:26:52,311] Trial 105 pruned. \n",
            "[I 2023-07-09 17:26:52,383] Trial 106 pruned. \n",
            "[I 2023-07-09 17:26:52,425] Trial 107 pruned. \n",
            "[I 2023-07-09 17:27:14,689] Trial 108 finished with values: [0.7143201627289059, 0.14481806755065918] and parameters: {'corner': 0.9642617267772269, 'side': 0.04749802479941234, 'center': -0.758949283000695}. \n",
            "[I 2023-07-09 17:27:14,750] Trial 109 pruned. \n",
            "[I 2023-07-09 17:27:14,811] Trial 110 pruned. \n",
            "[I 2023-07-09 17:27:14,847] Trial 111 pruned. \n",
            "[I 2023-07-09 17:27:14,894] Trial 112 pruned. \n",
            "[I 2023-07-09 17:27:14,942] Trial 113 pruned. \n",
            "[I 2023-07-09 17:27:36,147] Trial 114 finished with values: [0.03140142906021172, 0.19984397292137146] and parameters: {'corner': -0.5427967288639868, 'side': 0.8621684980346618, 'center': 0.0811079901590559}. \n",
            "[I 2023-07-09 17:27:36,229] Trial 115 pruned. \n",
            "[I 2023-07-09 17:27:57,272] Trial 116 finished with values: [0.3696822702147542, 0.1287030726671219] and parameters: {'corner': 0.5138470662998902, 'side': -0.963443499406734, 'center': 0.1998850834508623}. \n",
            "[I 2023-07-09 17:28:19,764] Trial 117 finished with values: [0.15419169460799498, 0.10374253243207932] and parameters: {'corner': -0.9261583940293652, 'side': 0.7105579030837166, 'center': -0.39122339827444264}. \n",
            "[I 2023-07-09 17:28:42,182] Trial 118 finished with values: [0.1903339767956551, 0.10711965709924698] and parameters: {'corner': 0.25115228375993714, 'side': -0.920876415498169, 'center': 0.5357188099348855}. \n",
            "[I 2023-07-09 17:28:42,231] Trial 119 pruned. \n",
            "[I 2023-07-09 17:28:42,270] Trial 120 pruned. \n",
            "[I 2023-07-09 17:28:42,333] Trial 121 pruned. \n",
            "[I 2023-07-09 17:28:43,017] Trial 122 pruned. \n",
            "[I 2023-07-09 17:28:43,082] Trial 123 pruned. \n",
            "[I 2023-07-09 17:28:43,156] Trial 124 pruned. \n",
            "[I 2023-07-09 17:28:43,205] Trial 125 pruned. \n",
            "[I 2023-07-09 17:28:43,269] Trial 126 pruned. \n",
            "[I 2023-07-09 17:29:04,139] Trial 127 finished with values: [0.7829031772106033, 0.019036443904042244] and parameters: {'corner': -0.202525473557009, 'side': -0.8602809833072269, 'center': 0.9420478713231941}. \n",
            "[I 2023-07-09 17:29:04,191] Trial 128 pruned. \n",
            "[I 2023-07-09 17:29:04,240] Trial 129 pruned. \n",
            "[I 2023-07-09 17:29:26,024] Trial 130 finished with values: [0.11945256663458169, 0.157028928399086] and parameters: {'corner': -0.9791286520480822, 'side': 0.8429989816058061, 'center': -0.004856085845957425}. \n",
            "[I 2023-07-09 17:29:26,084] Trial 131 pruned. \n",
            "[I 2023-07-09 17:29:48,000] Trial 132 finished with values: [0.20194388833028953, 0.1374463140964508] and parameters: {'corner': 0.8989385841409865, 'side': -0.010722284373653412, 'center': -0.9907793437508468}. \n",
            "[I 2023-07-09 17:29:48,034] Trial 133 pruned. \n",
            "[I 2023-07-09 17:29:48,073] Trial 134 pruned. \n",
            "[I 2023-07-09 17:29:49,126] Trial 135 pruned. \n",
            "[I 2023-07-09 17:30:10,831] Trial 136 finished with values: [0.20430269431895015, 0.14238417148590088] and parameters: {'corner': -0.930400099630647, 'side': 0.09639090930733141, 'center': 0.6379368809223787}. \n",
            "[I 2023-07-09 17:30:11,036] Trial 137 pruned. \n",
            "[I 2023-07-09 17:30:11,159] Trial 138 pruned. \n",
            "[I 2023-07-09 17:30:11,245] Trial 139 pruned. \n",
            "[I 2023-07-09 17:30:32,261] Trial 140 finished with values: [0.18652328722709643, 0.05577990785241127] and parameters: {'corner': 0.019828330382821724, 'side': -0.8892761208362714, 'center': 0.5423479732605705}. \n",
            "[I 2023-07-09 17:30:32,357] Trial 141 pruned. \n",
            "[I 2023-07-09 17:30:32,396] Trial 142 pruned. \n",
            "[I 2023-07-09 17:30:32,435] Trial 143 pruned. \n",
            "[I 2023-07-09 17:30:32,475] Trial 144 pruned. \n",
            "[I 2023-07-09 17:30:32,620] Trial 145 pruned. \n",
            "[I 2023-07-09 17:30:32,671] Trial 146 pruned. \n",
            "[I 2023-07-09 17:30:54,408] Trial 147 finished with values: [0.19651454899884713, 0.09777241945266724] and parameters: {'corner': -0.6957017677516899, 'side': 0.28810724082328476, 'center': -0.7765269079972097}. \n",
            "[I 2023-07-09 17:30:54,494] Trial 148 pruned. \n",
            "[I 2023-07-09 17:30:55,458] Trial 149 pruned. \n",
            "[I 2023-07-09 17:30:55,579] Trial 150 pruned. \n",
            "[I 2023-07-09 17:31:17,907] Trial 151 finished with values: [0.32728170992300026, 0.1329023689031601] and parameters: {'corner': 0.6538112362310451, 'side': -0.9651144771986266, 'center': -0.12004214389574375}. \n",
            "[I 2023-07-09 17:31:17,944] Trial 152 pruned. \n",
            "[I 2023-07-09 17:31:17,982] Trial 153 pruned. \n",
            "[I 2023-07-09 17:31:18,045] Trial 154 pruned. \n",
            "[I 2023-07-09 17:31:18,095] Trial 155 pruned. \n",
            "[I 2023-07-09 17:31:18,146] Trial 156 pruned. \n",
            "[I 2023-07-09 17:31:18,186] Trial 157 pruned. \n",
            "[I 2023-07-09 17:31:38,767] Trial 158 finished with values: [0.23742760110612965, 0.0810217559337616] and parameters: {'corner': -0.9426111649380846, 'side': 0.2761645955686245, 'center': -0.40509040164371446}. \n",
            "[I 2023-07-09 17:31:39,091] Trial 159 pruned. \n",
            "[I 2023-07-09 17:31:39,130] Trial 160 pruned. \n",
            "[I 2023-07-09 17:31:39,169] Trial 161 pruned. \n",
            "[I 2023-07-09 17:32:01,404] Trial 162 finished with values: [0.0508529030428264, 0.15973825752735138] and parameters: {'corner': -0.7258194857400355, 'side': 0.02188910618565898, 'center': 0.6607414242267746}. \n",
            "[I 2023-07-09 17:32:24,311] Trial 163 finished with values: [0.15638430094915978, 0.05382726341485977] and parameters: {'corner': -0.7197363910346462, 'side': 0.06486952913656796, 'center': -0.17134344106146338}. \n",
            "[I 2023-07-09 17:32:24,351] Trial 164 pruned. \n",
            "[I 2023-07-09 17:32:24,436] Trial 165 pruned. \n",
            "[I 2023-07-09 17:32:24,541] Trial 166 pruned. \n",
            "[I 2023-07-09 17:32:24,588] Trial 167 pruned. \n",
            "[I 2023-07-09 17:32:24,629] Trial 168 pruned. \n",
            "[I 2023-07-09 17:32:45,874] Trial 169 finished with values: [0.22356884914298464, 0.07801318168640137] and parameters: {'corner': -0.38129824472481766, 'side': 0.9463143217609002, 'center': 0.6378221275257558}. \n",
            "[I 2023-07-09 17:32:45,921] Trial 170 pruned. \n",
            "[I 2023-07-09 17:32:45,998] Trial 171 pruned. \n",
            "[I 2023-07-09 17:33:08,105] Trial 172 finished with values: [0.050515150775328296, 0.1157178059220314] and parameters: {'corner': -0.9309246826714721, 'side': 0.3928522604230038, 'center': 0.29773444679146377}. \n",
            "[I 2023-07-09 17:33:08,179] Trial 173 pruned. \n",
            "[I 2023-07-09 17:33:30,788] Trial 174 finished with values: [0.18841636392063266, 0.09698944538831711] and parameters: {'corner': -0.32512345241616547, 'side': 0.9306276476708093, 'center': -0.05122583859450014}. \n",
            "[I 2023-07-09 17:33:30,839] Trial 175 pruned. \n",
            "[I 2023-07-09 17:33:30,876] Trial 176 pruned. \n",
            "[I 2023-07-09 17:33:30,914] Trial 177 pruned. \n",
            "[I 2023-07-09 17:33:30,953] Trial 178 pruned. \n",
            "[I 2023-07-09 17:33:31,006] Trial 179 pruned. \n",
            "[I 2023-07-09 17:33:33,327] Trial 180 pruned. \n",
            "[I 2023-07-09 17:33:33,391] Trial 181 pruned. \n",
            "[I 2023-07-09 17:33:33,442] Trial 182 pruned. \n",
            "[I 2023-07-09 17:33:33,530] Trial 183 pruned. \n",
            "[I 2023-07-09 17:33:33,614] Trial 184 pruned. \n",
            "[I 2023-07-09 17:33:33,704] Trial 185 pruned. \n",
            "[I 2023-07-09 17:33:33,755] Trial 186 pruned. \n",
            "[I 2023-07-09 17:33:33,800] Trial 187 pruned. \n",
            "[I 2023-07-09 17:33:33,838] Trial 188 pruned. \n",
            "[I 2023-07-09 17:33:33,878] Trial 189 pruned. \n",
            "[I 2023-07-09 17:33:33,954] Trial 190 pruned. \n",
            "[I 2023-07-09 17:33:34,007] Trial 191 pruned. \n",
            "[I 2023-07-09 17:33:34,543] Trial 192 pruned. \n",
            "[I 2023-07-09 17:33:34,604] Trial 193 pruned. \n",
            "[I 2023-07-09 17:33:34,642] Trial 194 pruned. \n",
            "[I 2023-07-09 17:33:34,701] Trial 195 pruned. \n",
            "[I 2023-07-09 17:33:34,755] Trial 196 pruned. \n",
            "[I 2023-07-09 17:33:34,797] Trial 197 pruned. \n",
            "[I 2023-07-09 17:33:34,849] Trial 198 pruned. \n",
            "[I 2023-07-09 17:33:34,900] Trial 199 pruned. \n"
          ]
        }
      ],
      "source": [
        "import numpy as np\n",
        "import cv2\n",
        "import optuna\n",
        "from rules import CallableRuleset, basic_convolution, fast_inv_gaussian_activation\n",
        "import cv2\n",
        "\n",
        "rng = np.random.default_rng(42)\n",
        "\n",
        "def run_for(n, field, rules):\n",
        "    for _ in range(n):\n",
        "        field = rules(field)\n",
        "    return field\n",
        "\n",
        "\n",
        "def build_kernel(corner, side, center):\n",
        "    return np.array([\n",
        "        [corner,  side, corner],\n",
        "        [side  ,center,   side],\n",
        "        [corner,  side, corner]\n",
        "    ])\n",
        "\n",
        "\n",
        "def objective(trial: optuna.Trial):\n",
        "    corner = trial.suggest_float('corner', -1, 1)\n",
        "    side = trial.suggest_float('side', -1, 1)\n",
        "    center = trial.suggest_float('center', -1, 1)\n",
        "    kernel = build_kernel(corner, side, center)\n",
        "    rules = CallableRuleset(\n",
        "        kernel,\n",
        "        basic_convolution,\n",
        "        fast_inv_gaussian_activation,\n",
        "        lambda x: x\n",
        "    )\n",
        "    for _ in range(3):\n",
        "        field = rng.uniform(0, 1, size=(800, 800)).astype('float32')\n",
        "        for n in range(500):\n",
        "            last = field\n",
        "            field = rules(field)\n",
        "            meanfield = np.mean(field)\n",
        "            if meanfield < 0.01 or meanfield > 0.99 or np.allclose(field, last):\n",
        "                raise optuna.TrialPruned()\n",
        "    queue = []\n",
        "    for _ in range(5):\n",
        "        field = rules(field)\n",
        "        queue.append(field)\n",
        "    queue = [cv2.blur(pic, (3,3)) for pic in queue]\n",
        "    contrast = np.std(queue[-1])\n",
        "    return (0.1-meanfield)**2, contrast\n",
        "\n",
        "\n",
        "\n",
        "study = optuna.study.create_study(directions=['minimize', 'maximize'])\n",
        "study.optimize(objective, n_trials=200)\n",
        "\n",
        "trials = study.trials_dataframe()\n",
        "\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 99,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "RR33hbHX0i-a",
        "outputId": "69142363-0b11-4ab4-f3e7-c1720118bd3f"
      },
      "outputs": [
        {
          "data": {
            "text/html": [
              "\n",
              "  <div id=\"df-9197c03c-f149-4dde-8c4d-52be72262d6b\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>number</th>\n",
              "      <th>values_0</th>\n",
              "      <th>values_1</th>\n",
              "      <th>datetime_start</th>\n",
              "      <th>datetime_complete</th>\n",
              "      <th>duration</th>\n",
              "      <th>params_center</th>\n",
              "      <th>params_corner</th>\n",
              "      <th>params_side</th>\n",
              "      <th>system_attrs_nsga2:generation</th>\n",
              "      <th>state</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>6</td>\n",
              "      <td>0.044383</td>\n",
              "      <td>0.112800</td>\n",
              "      <td>2023-07-09 17:21:01.864245</td>\n",
              "      <td>2023-07-09 17:21:25.294539</td>\n",
              "      <td>0 days 00:00:23.430294</td>\n",
              "      <td>-0.679570</td>\n",
              "      <td>0.958488</td>\n",
              "      <td>-0.215363</td>\n",
              "      <td>0</td>\n",
              "      <td>COMPLETE</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>8</td>\n",
              "      <td>0.231275</td>\n",
              "      <td>0.150635</td>\n",
              "      <td>2023-07-09 17:21:25.344521</td>\n",
              "      <td>2023-07-09 17:21:49.338340</td>\n",
              "      <td>0 days 00:00:23.993819</td>\n",
              "      <td>0.707462</td>\n",
              "      <td>-0.617200</td>\n",
              "      <td>0.964490</td>\n",
              "      <td>0</td>\n",
              "      <td>COMPLETE</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>11</th>\n",
              "      <td>11</td>\n",
              "      <td>0.209528</td>\n",
              "      <td>0.084064</td>\n",
              "      <td>2023-07-09 17:21:49.440053</td>\n",
              "      <td>2023-07-09 17:22:12.980254</td>\n",
              "      <td>0 days 00:00:23.540201</td>\n",
              "      <td>-0.206980</td>\n",
              "      <td>-0.736481</td>\n",
              "      <td>0.225719</td>\n",
              "      <td>0</td>\n",
              "      <td>COMPLETE</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>17</th>\n",
              "      <td>17</td>\n",
              "      <td>0.143302</td>\n",
              "      <td>0.089802</td>\n",
              "      <td>2023-07-09 17:22:13.274326</td>\n",
              "      <td>2023-07-09 17:22:36.397353</td>\n",
              "      <td>0 days 00:00:23.123027</td>\n",
              "      <td>-0.330476</td>\n",
              "      <td>-0.149978</td>\n",
              "      <td>0.759942</td>\n",
              "      <td>0</td>\n",
              "      <td>COMPLETE</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>24</th>\n",
              "      <td>24</td>\n",
              "      <td>0.175806</td>\n",
              "      <td>0.062771</td>\n",
              "      <td>2023-07-09 17:22:37.028582</td>\n",
              "      <td>2023-07-09 17:22:58.859919</td>\n",
              "      <td>0 days 00:00:21.831337</td>\n",
              "      <td>-0.059565</td>\n",
              "      <td>-0.752789</td>\n",
              "      <td>0.177202</td>\n",
              "      <td>0</td>\n",
              "      <td>COMPLETE</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>28</th>\n",
              "      <td>28</td>\n",
              "      <td>0.214216</td>\n",
              "      <td>0.161113</td>\n",
              "      <td>2023-07-09 17:22:59.050858</td>\n",
              "      <td>2023-07-09 17:23:23.224785</td>\n",
              "      <td>0 days 00:00:24.173927</td>\n",
              "      <td>0.519633</td>\n",
              "      <td>-0.543246</td>\n",
              "      <td>0.874362</td>\n",
              "      <td>0</td>\n",
              "      <td>COMPLETE</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>35</th>\n",
              "      <td>35</td>\n",
              "      <td>0.310540</td>\n",
              "      <td>0.142763</td>\n",
              "      <td>2023-07-09 17:23:23.746198</td>\n",
              "      <td>2023-07-09 17:23:48.072302</td>\n",
              "      <td>0 days 00:00:24.326104</td>\n",
              "      <td>-0.904300</td>\n",
              "      <td>-0.878563</td>\n",
              "      <td>0.640768</td>\n",
              "      <td>0</td>\n",
              "      <td>COMPLETE</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>38</th>\n",
              "      <td>38</td>\n",
              "      <td>0.736124</td>\n",
              "      <td>0.073917</td>\n",
              "      <td>2023-07-09 17:23:48.180368</td>\n",
              "      <td>2023-07-09 17:24:10.377223</td>\n",
              "      <td>0 days 00:00:22.196855</td>\n",
              "      <td>0.723257</td>\n",
              "      <td>-0.723085</td>\n",
              "      <td>-0.211728</td>\n",
              "      <td>0</td>\n",
              "      <td>COMPLETE</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>40</th>\n",
              "      <td>40</td>\n",
              "      <td>0.780943</td>\n",
              "      <td>0.017714</td>\n",
              "      <td>2023-07-09 17:24:10.430691</td>\n",
              "      <td>2023-07-09 17:24:31.080537</td>\n",
              "      <td>0 days 00:00:20.649846</td>\n",
              "      <td>-0.936622</td>\n",
              "      <td>0.289078</td>\n",
              "      <td>0.764220</td>\n",
              "      <td>0</td>\n",
              "      <td>COMPLETE</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>57</th>\n",
              "      <td>57</td>\n",
              "      <td>0.061011</td>\n",
              "      <td>0.110362</td>\n",
              "      <td>2023-07-09 17:24:34.602234</td>\n",
              "      <td>2023-07-09 17:24:56.170353</td>\n",
              "      <td>0 days 00:00:21.568119</td>\n",
              "      <td>0.729096</td>\n",
              "      <td>-0.995740</td>\n",
              "      <td>0.351533</td>\n",
              "      <td>0</td>\n",
              "      <td>COMPLETE</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>62</th>\n",
              "      <td>62</td>\n",
              "      <td>0.033403</td>\n",
              "      <td>0.110875</td>\n",
              "      <td>2023-07-09 17:24:56.452160</td>\n",
              "      <td>2023-07-09 17:25:19.103884</td>\n",
              "      <td>0 days 00:00:22.651724</td>\n",
              "      <td>-0.371446</td>\n",
              "      <td>0.781044</td>\n",
              "      <td>-0.304674</td>\n",
              "      <td>0</td>\n",
              "      <td>COMPLETE</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>67</th>\n",
              "      <td>67</td>\n",
              "      <td>0.074263</td>\n",
              "      <td>0.116702</td>\n",
              "      <td>2023-07-09 17:25:19.751187</td>\n",
              "      <td>2023-07-09 17:25:42.157845</td>\n",
              "      <td>0 days 00:00:22.406658</td>\n",
              "      <td>0.248792</td>\n",
              "      <td>-0.892006</td>\n",
              "      <td>0.465858</td>\n",
              "      <td>0</td>\n",
              "      <td>COMPLETE</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>69</th>\n",
              "      <td>69</td>\n",
              "      <td>0.198273</td>\n",
              "      <td>0.113219</td>\n",
              "      <td>2023-07-09 17:25:42.239212</td>\n",
              "      <td>2023-07-09 17:26:04.450930</td>\n",
              "      <td>0 days 00:00:22.211718</td>\n",
              "      <td>-0.901570</td>\n",
              "      <td>-0.620049</td>\n",
              "      <td>0.105624</td>\n",
              "      <td>0</td>\n",
              "      <td>COMPLETE</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>71</th>\n",
              "      <td>71</td>\n",
              "      <td>0.680080</td>\n",
              "      <td>0.054037</td>\n",
              "      <td>2023-07-09 17:26:04.508260</td>\n",
              "      <td>2023-07-09 17:26:26.447007</td>\n",
              "      <td>0 days 00:00:21.938747</td>\n",
              "      <td>-0.608125</td>\n",
              "      <td>0.445049</td>\n",
              "      <td>0.393486</td>\n",
              "      <td>0</td>\n",
              "      <td>COMPLETE</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>77</th>\n",
              "      <td>77</td>\n",
              "      <td>0.716880</td>\n",
              "      <td>0.025315</td>\n",
              "      <td>2023-07-09 17:26:27.190864</td>\n",
              "      <td>2023-07-09 17:26:49.317743</td>\n",
              "      <td>0 days 00:00:22.126879</td>\n",
              "      <td>0.549839</td>\n",
              "      <td>-0.200252</td>\n",
              "      <td>-0.648715</td>\n",
              "      <td>0</td>\n",
              "      <td>COMPLETE</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>108</th>\n",
              "      <td>108</td>\n",
              "      <td>0.714320</td>\n",
              "      <td>0.144818</td>\n",
              "      <td>2023-07-09 17:26:52.428303</td>\n",
              "      <td>2023-07-09 17:27:14.688729</td>\n",
              "      <td>0 days 00:00:22.260426</td>\n",
              "      <td>-0.758949</td>\n",
              "      <td>0.964262</td>\n",
              "      <td>0.047498</td>\n",
              "      <td>0</td>\n",
              "      <td>COMPLETE</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>114</th>\n",
              "      <td>114</td>\n",
              "      <td>0.031401</td>\n",
              "      <td>0.199844</td>\n",
              "      <td>2023-07-09 17:27:14.945139</td>\n",
              "      <td>2023-07-09 17:27:36.146790</td>\n",
              "      <td>0 days 00:00:21.201651</td>\n",
              "      <td>0.081108</td>\n",
              "      <td>-0.542797</td>\n",
              "      <td>0.862168</td>\n",
              "      <td>0</td>\n",
              "      <td>COMPLETE</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>116</th>\n",
              "      <td>116</td>\n",
              "      <td>0.369682</td>\n",
              "      <td>0.128703</td>\n",
              "      <td>2023-07-09 17:27:36.231924</td>\n",
              "      <td>2023-07-09 17:27:57.271999</td>\n",
              "      <td>0 days 00:00:21.040075</td>\n",
              "      <td>0.199885</td>\n",
              "      <td>0.513847</td>\n",
              "      <td>-0.963443</td>\n",
              "      <td>0</td>\n",
              "      <td>COMPLETE</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>117</th>\n",
              "      <td>117</td>\n",
              "      <td>0.154192</td>\n",
              "      <td>0.103743</td>\n",
              "      <td>2023-07-09 17:27:57.274641</td>\n",
              "      <td>2023-07-09 17:28:19.764593</td>\n",
              "      <td>0 days 00:00:22.489952</td>\n",
              "      <td>-0.391223</td>\n",
              "      <td>-0.926158</td>\n",
              "      <td>0.710558</td>\n",
              "      <td>0</td>\n",
              "      <td>COMPLETE</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>118</th>\n",
              "      <td>118</td>\n",
              "      <td>0.190334</td>\n",
              "      <td>0.107120</td>\n",
              "      <td>2023-07-09 17:28:19.772006</td>\n",
              "      <td>2023-07-09 17:28:42.182375</td>\n",
              "      <td>0 days 00:00:22.410369</td>\n",
              "      <td>0.535719</td>\n",
              "      <td>0.251152</td>\n",
              "      <td>-0.920876</td>\n",
              "      <td>0</td>\n",
              "      <td>COMPLETE</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>127</th>\n",
              "      <td>127</td>\n",
              "      <td>0.782903</td>\n",
              "      <td>0.019036</td>\n",
              "      <td>2023-07-09 17:28:43.275878</td>\n",
              "      <td>2023-07-09 17:29:04.139027</td>\n",
              "      <td>0 days 00:00:20.863149</td>\n",
              "      <td>0.942048</td>\n",
              "      <td>-0.202525</td>\n",
              "      <td>-0.860281</td>\n",
              "      <td>0</td>\n",
              "      <td>COMPLETE</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>130</th>\n",
              "      <td>130</td>\n",
              "      <td>0.119453</td>\n",
              "      <td>0.157029</td>\n",
              "      <td>2023-07-09 17:29:04.246407</td>\n",
              "      <td>2023-07-09 17:29:26.023989</td>\n",
              "      <td>0 days 00:00:21.777582</td>\n",
              "      <td>-0.004856</td>\n",
              "      <td>-0.979129</td>\n",
              "      <td>0.842999</td>\n",
              "      <td>0</td>\n",
              "      <td>COMPLETE</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>132</th>\n",
              "      <td>132</td>\n",
              "      <td>0.201944</td>\n",
              "      <td>0.137446</td>\n",
              "      <td>2023-07-09 17:29:26.089289</td>\n",
              "      <td>2023-07-09 17:29:48.000104</td>\n",
              "      <td>0 days 00:00:21.910815</td>\n",
              "      <td>-0.990779</td>\n",
              "      <td>0.898939</td>\n",
              "      <td>-0.010722</td>\n",
              "      <td>0</td>\n",
              "      <td>COMPLETE</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>136</th>\n",
              "      <td>136</td>\n",
              "      <td>0.204303</td>\n",
              "      <td>0.142384</td>\n",
              "      <td>2023-07-09 17:29:49.133456</td>\n",
              "      <td>2023-07-09 17:30:10.831324</td>\n",
              "      <td>0 days 00:00:21.697868</td>\n",
              "      <td>0.637937</td>\n",
              "      <td>-0.930400</td>\n",
              "      <td>0.096391</td>\n",
              "      <td>0</td>\n",
              "      <td>COMPLETE</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>140</th>\n",
              "      <td>140</td>\n",
              "      <td>0.186523</td>\n",
              "      <td>0.055780</td>\n",
              "      <td>2023-07-09 17:30:11.250393</td>\n",
              "      <td>2023-07-09 17:30:32.260874</td>\n",
              "      <td>0 days 00:00:21.010481</td>\n",
              "      <td>0.542348</td>\n",
              "      <td>0.019828</td>\n",
              "      <td>-0.889276</td>\n",
              "      <td>0</td>\n",
              "      <td>COMPLETE</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>147</th>\n",
              "      <td>147</td>\n",
              "      <td>0.196515</td>\n",
              "      <td>0.097772</td>\n",
              "      <td>2023-07-09 17:30:32.673963</td>\n",
              "      <td>2023-07-09 17:30:54.408050</td>\n",
              "      <td>0 days 00:00:21.734087</td>\n",
              "      <td>-0.776527</td>\n",
              "      <td>-0.695702</td>\n",
              "      <td>0.288107</td>\n",
              "      <td>0</td>\n",
              "      <td>COMPLETE</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>151</th>\n",
              "      <td>151</td>\n",
              "      <td>0.327282</td>\n",
              "      <td>0.132902</td>\n",
              "      <td>2023-07-09 17:30:55.585637</td>\n",
              "      <td>2023-07-09 17:31:17.907289</td>\n",
              "      <td>0 days 00:00:22.321652</td>\n",
              "      <td>-0.120042</td>\n",
              "      <td>0.653811</td>\n",
              "      <td>-0.965114</td>\n",
              "      <td>0</td>\n",
              "      <td>COMPLETE</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>158</th>\n",
              "      <td>158</td>\n",
              "      <td>0.237428</td>\n",
              "      <td>0.081022</td>\n",
              "      <td>2023-07-09 17:31:18.192890</td>\n",
              "      <td>2023-07-09 17:31:38.767490</td>\n",
              "      <td>0 days 00:00:20.574600</td>\n",
              "      <td>-0.405090</td>\n",
              "      <td>-0.942611</td>\n",
              "      <td>0.276165</td>\n",
              "      <td>0</td>\n",
              "      <td>COMPLETE</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>162</th>\n",
              "      <td>162</td>\n",
              "      <td>0.050853</td>\n",
              "      <td>0.159738</td>\n",
              "      <td>2023-07-09 17:31:39.171780</td>\n",
              "      <td>2023-07-09 17:32:01.404666</td>\n",
              "      <td>0 days 00:00:22.232886</td>\n",
              "      <td>0.660741</td>\n",
              "      <td>-0.725819</td>\n",
              "      <td>0.021889</td>\n",
              "      <td>0</td>\n",
              "      <td>COMPLETE</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>163</th>\n",
              "      <td>163</td>\n",
              "      <td>0.156384</td>\n",
              "      <td>0.053827</td>\n",
              "      <td>2023-07-09 17:32:01.407538</td>\n",
              "      <td>2023-07-09 17:32:24.310667</td>\n",
              "      <td>0 days 00:00:22.903129</td>\n",
              "      <td>-0.171343</td>\n",
              "      <td>-0.719736</td>\n",
              "      <td>0.064870</td>\n",
              "      <td>0</td>\n",
              "      <td>COMPLETE</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>169</th>\n",
              "      <td>169</td>\n",
              "      <td>0.223569</td>\n",
              "      <td>0.078013</td>\n",
              "      <td>2023-07-09 17:32:24.634904</td>\n",
              "      <td>2023-07-09 17:32:45.873894</td>\n",
              "      <td>0 days 00:00:21.238990</td>\n",
              "      <td>0.637822</td>\n",
              "      <td>-0.381298</td>\n",
              "      <td>0.946314</td>\n",
              "      <td>0</td>\n",
              "      <td>COMPLETE</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>172</th>\n",
              "      <td>172</td>\n",
              "      <td>0.050515</td>\n",
              "      <td>0.115718</td>\n",
              "      <td>2023-07-09 17:32:46.001452</td>\n",
              "      <td>2023-07-09 17:33:08.105215</td>\n",
              "      <td>0 days 00:00:22.103763</td>\n",
              "      <td>0.297734</td>\n",
              "      <td>-0.930925</td>\n",
              "      <td>0.392852</td>\n",
              "      <td>0</td>\n",
              "      <td>COMPLETE</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>174</th>\n",
              "      <td>174</td>\n",
              "      <td>0.188416</td>\n",
              "      <td>0.096989</td>\n",
              "      <td>2023-07-09 17:33:08.181339</td>\n",
              "      <td>2023-07-09 17:33:30.788286</td>\n",
              "      <td>0 days 00:00:22.606947</td>\n",
              "      <td>-0.051226</td>\n",
              "      <td>-0.325123</td>\n",
              "      <td>0.930628</td>\n",
              "      <td>0</td>\n",
              "      <td>COMPLETE</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-9197c03c-f149-4dde-8c4d-52be72262d6b')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-9197c03c-f149-4dde-8c4d-52be72262d6b button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-9197c03c-f149-4dde-8c4d-52be72262d6b');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ],
            "text/plain": [
              "     number  values_0  values_1             datetime_start  \\\n",
              "6         6  0.044383  0.112800 2023-07-09 17:21:01.864245   \n",
              "8         8  0.231275  0.150635 2023-07-09 17:21:25.344521   \n",
              "11       11  0.209528  0.084064 2023-07-09 17:21:49.440053   \n",
              "17       17  0.143302  0.089802 2023-07-09 17:22:13.274326   \n",
              "24       24  0.175806  0.062771 2023-07-09 17:22:37.028582   \n",
              "28       28  0.214216  0.161113 2023-07-09 17:22:59.050858   \n",
              "35       35  0.310540  0.142763 2023-07-09 17:23:23.746198   \n",
              "38       38  0.736124  0.073917 2023-07-09 17:23:48.180368   \n",
              "40       40  0.780943  0.017714 2023-07-09 17:24:10.430691   \n",
              "57       57  0.061011  0.110362 2023-07-09 17:24:34.602234   \n",
              "62       62  0.033403  0.110875 2023-07-09 17:24:56.452160   \n",
              "67       67  0.074263  0.116702 2023-07-09 17:25:19.751187   \n",
              "69       69  0.198273  0.113219 2023-07-09 17:25:42.239212   \n",
              "71       71  0.680080  0.054037 2023-07-09 17:26:04.508260   \n",
              "77       77  0.716880  0.025315 2023-07-09 17:26:27.190864   \n",
              "108     108  0.714320  0.144818 2023-07-09 17:26:52.428303   \n",
              "114     114  0.031401  0.199844 2023-07-09 17:27:14.945139   \n",
              "116     116  0.369682  0.128703 2023-07-09 17:27:36.231924   \n",
              "117     117  0.154192  0.103743 2023-07-09 17:27:57.274641   \n",
              "118     118  0.190334  0.107120 2023-07-09 17:28:19.772006   \n",
              "127     127  0.782903  0.019036 2023-07-09 17:28:43.275878   \n",
              "130     130  0.119453  0.157029 2023-07-09 17:29:04.246407   \n",
              "132     132  0.201944  0.137446 2023-07-09 17:29:26.089289   \n",
              "136     136  0.204303  0.142384 2023-07-09 17:29:49.133456   \n",
              "140     140  0.186523  0.055780 2023-07-09 17:30:11.250393   \n",
              "147     147  0.196515  0.097772 2023-07-09 17:30:32.673963   \n",
              "151     151  0.327282  0.132902 2023-07-09 17:30:55.585637   \n",
              "158     158  0.237428  0.081022 2023-07-09 17:31:18.192890   \n",
              "162     162  0.050853  0.159738 2023-07-09 17:31:39.171780   \n",
              "163     163  0.156384  0.053827 2023-07-09 17:32:01.407538   \n",
              "169     169  0.223569  0.078013 2023-07-09 17:32:24.634904   \n",
              "172     172  0.050515  0.115718 2023-07-09 17:32:46.001452   \n",
              "174     174  0.188416  0.096989 2023-07-09 17:33:08.181339   \n",
              "\n",
              "             datetime_complete               duration  params_center  \\\n",
              "6   2023-07-09 17:21:25.294539 0 days 00:00:23.430294      -0.679570   \n",
              "8   2023-07-09 17:21:49.338340 0 days 00:00:23.993819       0.707462   \n",
              "11  2023-07-09 17:22:12.980254 0 days 00:00:23.540201      -0.206980   \n",
              "17  2023-07-09 17:22:36.397353 0 days 00:00:23.123027      -0.330476   \n",
              "24  2023-07-09 17:22:58.859919 0 days 00:00:21.831337      -0.059565   \n",
              "28  2023-07-09 17:23:23.224785 0 days 00:00:24.173927       0.519633   \n",
              "35  2023-07-09 17:23:48.072302 0 days 00:00:24.326104      -0.904300   \n",
              "38  2023-07-09 17:24:10.377223 0 days 00:00:22.196855       0.723257   \n",
              "40  2023-07-09 17:24:31.080537 0 days 00:00:20.649846      -0.936622   \n",
              "57  2023-07-09 17:24:56.170353 0 days 00:00:21.568119       0.729096   \n",
              "62  2023-07-09 17:25:19.103884 0 days 00:00:22.651724      -0.371446   \n",
              "67  2023-07-09 17:25:42.157845 0 days 00:00:22.406658       0.248792   \n",
              "69  2023-07-09 17:26:04.450930 0 days 00:00:22.211718      -0.901570   \n",
              "71  2023-07-09 17:26:26.447007 0 days 00:00:21.938747      -0.608125   \n",
              "77  2023-07-09 17:26:49.317743 0 days 00:00:22.126879       0.549839   \n",
              "108 2023-07-09 17:27:14.688729 0 days 00:00:22.260426      -0.758949   \n",
              "114 2023-07-09 17:27:36.146790 0 days 00:00:21.201651       0.081108   \n",
              "116 2023-07-09 17:27:57.271999 0 days 00:00:21.040075       0.199885   \n",
              "117 2023-07-09 17:28:19.764593 0 days 00:00:22.489952      -0.391223   \n",
              "118 2023-07-09 17:28:42.182375 0 days 00:00:22.410369       0.535719   \n",
              "127 2023-07-09 17:29:04.139027 0 days 00:00:20.863149       0.942048   \n",
              "130 2023-07-09 17:29:26.023989 0 days 00:00:21.777582      -0.004856   \n",
              "132 2023-07-09 17:29:48.000104 0 days 00:00:21.910815      -0.990779   \n",
              "136 2023-07-09 17:30:10.831324 0 days 00:00:21.697868       0.637937   \n",
              "140 2023-07-09 17:30:32.260874 0 days 00:00:21.010481       0.542348   \n",
              "147 2023-07-09 17:30:54.408050 0 days 00:00:21.734087      -0.776527   \n",
              "151 2023-07-09 17:31:17.907289 0 days 00:00:22.321652      -0.120042   \n",
              "158 2023-07-09 17:31:38.767490 0 days 00:00:20.574600      -0.405090   \n",
              "162 2023-07-09 17:32:01.404666 0 days 00:00:22.232886       0.660741   \n",
              "163 2023-07-09 17:32:24.310667 0 days 00:00:22.903129      -0.171343   \n",
              "169 2023-07-09 17:32:45.873894 0 days 00:00:21.238990       0.637822   \n",
              "172 2023-07-09 17:33:08.105215 0 days 00:00:22.103763       0.297734   \n",
              "174 2023-07-09 17:33:30.788286 0 days 00:00:22.606947      -0.051226   \n",
              "\n",
              "     params_corner  params_side  system_attrs_nsga2:generation     state  \n",
              "6         0.958488    -0.215363                              0  COMPLETE  \n",
              "8        -0.617200     0.964490                              0  COMPLETE  \n",
              "11       -0.736481     0.225719                              0  COMPLETE  \n",
              "17       -0.149978     0.759942                              0  COMPLETE  \n",
              "24       -0.752789     0.177202                              0  COMPLETE  \n",
              "28       -0.543246     0.874362                              0  COMPLETE  \n",
              "35       -0.878563     0.640768                              0  COMPLETE  \n",
              "38       -0.723085    -0.211728                              0  COMPLETE  \n",
              "40        0.289078     0.764220                              0  COMPLETE  \n",
              "57       -0.995740     0.351533                              0  COMPLETE  \n",
              "62        0.781044    -0.304674                              0  COMPLETE  \n",
              "67       -0.892006     0.465858                              0  COMPLETE  \n",
              "69       -0.620049     0.105624                              0  COMPLETE  \n",
              "71        0.445049     0.393486                              0  COMPLETE  \n",
              "77       -0.200252    -0.648715                              0  COMPLETE  \n",
              "108       0.964262     0.047498                              0  COMPLETE  \n",
              "114      -0.542797     0.862168                              0  COMPLETE  \n",
              "116       0.513847    -0.963443                              0  COMPLETE  \n",
              "117      -0.926158     0.710558                              0  COMPLETE  \n",
              "118       0.251152    -0.920876                              0  COMPLETE  \n",
              "127      -0.202525    -0.860281                              0  COMPLETE  \n",
              "130      -0.979129     0.842999                              0  COMPLETE  \n",
              "132       0.898939    -0.010722                              0  COMPLETE  \n",
              "136      -0.930400     0.096391                              0  COMPLETE  \n",
              "140       0.019828    -0.889276                              0  COMPLETE  \n",
              "147      -0.695702     0.288107                              0  COMPLETE  \n",
              "151       0.653811    -0.965114                              0  COMPLETE  \n",
              "158      -0.942611     0.276165                              0  COMPLETE  \n",
              "162      -0.725819     0.021889                              0  COMPLETE  \n",
              "163      -0.719736     0.064870                              0  COMPLETE  \n",
              "169      -0.381298     0.946314                              0  COMPLETE  \n",
              "172      -0.930925     0.392852                              0  COMPLETE  \n",
              "174      -0.325123     0.930628                              0  COMPLETE  "
            ]
          },
          "execution_count": 99,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "trials.query('state==\"COMPLETE\"')"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 96,
      "metadata": {
        "id": "ALfRS-8ADAIj"
      },
      "outputs": [],
      "source": [
        "m = (\n",
        "    trials\n",
        "    .query('state==\"COMPLETE\"')\n",
        "    .sort_values('values_0')\n",
        "    .apply(\n",
        "        lambda row:\n",
        "        build_kernel(*row[['params_center',\t'params_corner',\t'params_side']]), axis=1\n",
        "    )\n",
        "    .__iter__()\n",
        ")"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 92,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "uu4PRcNeP_Nv",
        "outputId": "28c10076-5c4d-499d-b84c-2d9bb2e02fda"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "array([[ 0.24879229, -0.8920062 ,  0.24879229],\n",
              "       [-0.8920062 ,  0.46585773, -0.8920062 ],\n",
              "       [ 0.24879229, -0.8920062 ,  0.24879229]])"
            ]
          },
          "execution_count": 92,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "next(m)"
      ]
    }
  ],
  "metadata": {
    "colab": {
      "provenance": [],
      "toc_visible": true
    },
    "kernelspec": {
      "display_name": "base",
      "language": "python",
      "name": "python3"
    },
    "language_info": {
      "codemirror_mode": {
        "name": "ipython",
        "version": 3
      },
      "file_extension": ".py",
      "mimetype": "text/x-python",
      "name": "python",
      "nbconvert_exporter": "python",
      "pygments_lexer": "ipython3",
      "version": "3.8.17"
    },
    "orig_nbformat": 4
  },
  "nbformat": 4,
  "nbformat_minor": 0
}