| n_samples | n_windows | disjoint_training_windows | result |
|---|---|---|---|
| 100 | 25 | 0 | 0.264861 |
| Name | Type | Lower bound | Upper bound | Values | Type |
|---|---|---|---|---|---|
| n_samples | range | 100 | 1000 | int | |
| n_windows | range | 25 | 250 | int | |
| disjoint_training… | choice | False, True |
| Failed | Succeeded | Running | Total |
|---|---|---|---|
| 0 | 495 | 5 | 500 |
trial_index,arm_name,trial_status,generation_method,result,n_samples,n_windows,disjoint_training_windows 0,0_0,COMPLETED,Sobol,0.328986975397973946400043132599,878,163,True 1,1_0,COMPLETED,Sobol,0.326261456825856277497166502144,951,62,False 2,2_0,COMPLETED,Sobol,0.325504100337674850962343953142,129,145,False 3,3_0,COMPLETED,Sobol,0.328986975397973946400043132599,117,132,True 4,4_0,COMPLETED,Sobol,0.318234442836468844895136953710,924,86,False 5,5_0,COMPLETED,Sobol,0.328986975397973946400043132599,405,235,True 6,6_0,COMPLETED,Sobol,0.318253738543174180541939222167,819,46,False 7,7_0,COMPLETED,Sobol,0.275318379160636728109068371850,151,86,False 8,8_0,COMPLETED,Sobol,0.296362759286058818908315970475,357,38,False 9,9_0,COMPLETED,Sobol,0.319447660395561938706521232234,977,97,False 10,10_0,COMPLETED,Sobol,0.328986975397973946400043132599,116,54,True 11,11_0,COMPLETED,Sobol,0.328986975397973946400043132599,371,126,True 12,12_0,COMPLETED,Sobol,0.328986975397973946400043132599,212,123,True 13,13_0,COMPLETED,Sobol,0.328986975397973946400043132599,287,35,True 14,14_0,COMPLETED,Sobol,0.328986975397973946400043132599,685,96,True 15,15_0,COMPLETED,Sobol,0.305517366136034751455952118704,507,161,False 16,16_0,COMPLETED,Sobol,0.328986975397973946400043132599,123,42,True 17,17_0,COMPLETED,Sobol,0.347255185721177084268163071101,209,105,False 18,18_0,COMPLETED,Sobol,0.292507235890014483103982456669,270,167,False 19,19_0,COMPLETED,Sobol,0.302040520984081073407878648140,486,132,False 20,20_0,COMPLETED,BoTorch,0.274843222383019725185704373871,152,25,False 21,21_0,COMPLETED,BoTorch,0.301420646406174608245009949314,441,218,False 22,22_0,COMPLETED,BoTorch,0.300529425952725470772008975473,390,250,False 23,23_0,COMPLETED,BoTorch,0.328986975397973946400043132599,1000,250,True 24,24_0,COMPLETED,BoTorch,0.328986975397973946400043132599,1000,25,True 25,25_0,COMPLETED,BoTorch,0.299066570188133096230842511432,440,25,False 26,26_0,COMPLETED,BoTorch,0.292056198745779038716818831745,318,78,False 27,27_0,COMPLETED,BoTorch,0.328986975397973946400043132599,100,250,True 28,28_0,COMPLETED,BoTorch,0.300810419681620810905542384717,451,160,False 29,29_0,COMPLETED,BoTorch,0.321953690303907413827744221635,1000,25,False 30,30_0,COMPLETED,BoTorch,0.300009647853352601210019656719,442,104,False 31,31_0,COMPLETED,BoTorch,0.303680656054027942047923716018,466,71,False 32,32_0,COMPLETED,BoTorch,0.296224071394114774058436978521,404,107,False 33,33_0,COMPLETED,BoTorch,0.293312831644959026711205751781,305,39,False 34,34_0,COMPLETED,BoTorch,0.293535938253738581948937280686,302,50,False 35,35_0,COMPLETED,BoTorch,0.366292812349252261405752051360,100,250,False 36,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False 37,37_0,COMPLETED,BoTorch,0.286560540279787723250137787545,289,25,False 38,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False 39,39_0,COMPLETED,BoTorch,0.328986975397973946400043132599,1000,65,True 40,40_0,COMPLETED,BoTorch,0.301731789676796924304369440506,426,148,False 41,24_0,COMPLETED,BoTorch,0.328986975397973946400043132599,1000,25,True 42,42_0,COMPLETED,BoTorch,0.307696575012059825304788773792,581,236,False 43,43_0,COMPLETED,BoTorch,0.304446454413892952928222257469,563,151,False 44,44_0,COMPLETED,BoTorch,0.302655571635311093636744317337,448,226,False 45,45_0,COMPLETED,BoTorch,0.308854317414375301176221455535,570,235,False 46,27_0,COMPLETED,BoTorch,0.328986975397973946400043132599,100,250,True 47,47_0,COMPLETED,BoTorch,0.291746261456825806135384482332,310,250,False 48,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False 49,49_0,COMPLETED,BoTorch,0.328986975397973946400043132599,956,69,True 50,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False 51,24_0,COMPLETED,BoTorch,0.328986975397973946400043132599,1000,25,True 52,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False 53,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False 54,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False 55,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False 56,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False 57,57_0,COMPLETED,BoTorch,0.312941389290882776563762490696,652,250,False 58,24_0,COMPLETED,BoTorch,0.328986975397973946400043132599,1000,25,True 59,59_0,RUNNING,BoTorch,,125,48,False 60,60_0,COMPLETED,BoTorch,0.269288470815243652367598770070,123,42,False 61,61_0,COMPLETED,BoTorch,0.294008683068017417916450995108,320,170,False 62,62_0,COMPLETED,BoTorch,0.313212735166425448873894765711,579,159,False 63,63_0,COMPLETED,BoTorch,0.270857452966714928876967860560,123,46,False 64,63_0,COMPLETED,BoTorch,0.270857452966714928876967860560,123,46,False 65,65_0,COMPLETED,BoTorch,0.313833815726000997514688606316,683,225,False 66,66_0,COMPLETED,BoTorch,0.319536903039073783006074336299,774,250,False 67,63_0,COMPLETED,BoTorch,0.270857452966714928876967860560,123,46,False 68,68_0,COMPLETED,BoTorch,0.310701881331403750863273671712,648,208,False 69,69_0,COMPLETED,BoTorch,0.271148094548962825811599941517,123,45,False 70,69_0,COMPLETED,BoTorch,0.271148094548962825811599941517,123,45,False 71,71_0,COMPLETED,BoTorch,0.312427641099855324391398880834,725,226,False 72,72_0,COMPLETED,BoTorch,0.317257597684515224578660763655,758,242,False 73,73_0,COMPLETED,BoTorch,0.317761698022190008927623239288,865,250,False 74,74_0,COMPLETED,BoTorch,0.328986975397973946400043132599,526,63,True 75,75_0,COMPLETED,BoTorch,0.270680173661360323755786794209,122,39,False 76,76_0,COMPLETED,BoTorch,0.267215388326097480486964741431,111,25,False 77,77_0,COMPLETED,BoTorch,0.305510130246020250588401268033,530,33,False 78,78_0,COMPLETED,BoTorch,0.312721900627110471759806387126,729,178,False 79,79_0,COMPLETED,BoTorch,0.269232995658466034427647173288,112,25,False 80,80_0,COMPLETED,BoTorch,0.318338157260009690929791759118,823,250,False 81,76_0,COMPLETED,BoTorch,0.267215388326097480486964741431,111,25,False 82,82_0,COMPLETED,BoTorch,0.328986975397973946400043132599,526,109,True 83,83_0,COMPLETED,BoTorch,0.328986975397973946400043132599,576,250,True 84,76_0,COMPLETED,BoTorch,0.267215388326097480486964741431,111,25,False 85,85_0,COMPLETED,BoTorch,0.328986975397973946400043132599,535,144,True 86,86_0,COMPLETED,BoTorch,0.311863241678726477168481778790,697,25,False 87,87_0,COMPLETED,BoTorch,0.315069946936806566384348116117,707,25,False 88,88_0,COMPLETED,BoTorch,0.328986975397973946400043132599,557,111,True 89,89_0,COMPLETED,BoTorch,0.328986975397973946400043132599,479,25,True 90,90_0,COMPLETED,BoTorch,0.321057645923781942443042680679,845,250,False 91,91_0,COMPLETED,BoTorch,0.328986975397973946400043132599,622,199,True 92,92_0,COMPLETED,BoTorch,0.271739025566811398526567700173,137,42,False 93,93_0,COMPLETED,BoTorch,0.325823685479980751367179436784,1000,250,False 94,94_0,COMPLETED,BoTorch,0.313047515677761678531965117145,676,25,False 95,95_0,COMPLETED,BoTorch,0.328986975397973946400043132599,585,250,True 96,96_0,COMPLETED,BoTorch,0.311389290882778557723042922589,643,37,False 97,97_0,COMPLETED,BoTorch,0.328986975397973946400043132599,500,160,True 98,98_0,COMPLETED,BoTorch,0.328986975397973946400043132599,532,250,True 99,99_0,COMPLETED,BoTorch,0.328986975397973946400043132599,474,87,True 100,100_0,COMPLETED,BoTorch,0.328986975397973946400043132599,451,145,True 101,101_0,COMPLETED,BoTorch,0.328986975397973946400043132599,515,140,True 102,102_0,COMPLETED,BoTorch,0.328986975397973946400043132599,501,250,True 103,103_0,COMPLETED,BoTorch,0.328986975397973946400043132599,517,147,True 104,104_0,COMPLETED,BoTorch,0.273961649782923255536104534258,139,47,False 105,105_0,COMPLETED,BoTorch,0.328986975397973946400043132599,472,142,True 106,106_0,COMPLETED,BoTorch,0.328986975397973946400043132599,630,250,True 107,107_0,COMPLETED,BoTorch,0.328986975397973946400043132599,270,250,True 108,108_0,COMPLETED,BoTorch,0.328986975397973946400043132599,588,250,True 109,109_0,COMPLETED,BoTorch,0.328986975397973946400043132599,755,250,True 110,110_0,COMPLETED,BoTorch,0.266495417269657530745519125048,104,26,False 111,111_0,COMPLETED,BoTorch,0.328986975397973946400043132599,406,25,True 112,112_0,COMPLETED,BoTorch,0.328986975397973946400043132599,762,250,True 113,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False 114,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False 115,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False 116,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False 117,117_0,COMPLETED,BoTorch,0.289293294741919893020565268671,278,250,False 118,118_0,COMPLETED,BoTorch,0.322358900144717797076054921490,869,147,False 119,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False 120,120_0,COMPLETED,BoTorch,0.291649782923299571990582990111,293,210,False 121,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False 122,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False 123,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False 124,124_0,RUNNING,BoTorch,,728,250,True 125,125_0,COMPLETED,BoTorch,0.328986975397973946400043132599,904,250,True 126,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False 127,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False 128,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False 129,129_0,COMPLETED,BoTorch,0.328986975397973946400043132599,728,217,True 130,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False 131,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False 132,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False 133,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False 134,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False 135,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False 136,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False 137,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False 138,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False 139,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False 140,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False 141,141_0,COMPLETED,BoTorch,0.328986975397973946400043132599,794,25,True 142,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False 143,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False 144,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False 145,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False 146,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False 147,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False 148,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False 149,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False 150,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False 151,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False 152,152_0,COMPLETED,BoTorch,0.328986975397973946400043132599,812,25,True 153,153_0,COMPLETED,BoTorch,0.328986975397973946400043132599,880,165,True 154,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False 155,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False 156,156_0,COMPLETED,BoTorch,0.328986975397973946400043132599,682,95,True 157,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False 158,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False 159,159_0,COMPLETED,BoTorch,0.328986975397973946400043132599,685,103,True 160,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False 161,161_0,COMPLETED,BoTorch,0.328986975397973946400043132599,712,88,True 162,162_0,COMPLETED,BoTorch,0.328986975397973946400043132599,829,64,True 163,163_0,COMPLETED,BoTorch,0.328986975397973946400043132599,819,25,True 164,164_0,COMPLETED,BoTorch,0.328986975397973946400043132599,800,114,True 165,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False 166,166_0,COMPLETED,BoTorch,0.328986975397973946400043132599,674,110,True 167,167_0,COMPLETED,BoTorch,0.328986975397973946400043132599,773,25,True 168,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False 169,169_0,COMPLETED,BoTorch,0.321876507477086293285140072840,928,250,False 170,170_0,COMPLETED,BoTorch,0.328986975397973946400043132599,708,91,True 171,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False 172,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False 173,173_0,COMPLETED,BoTorch,0.328986975397973946400043132599,696,100,True 174,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False 175,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False 176,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False 177,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False 178,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False 179,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False 180,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False 181,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False 182,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False 183,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False 184,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False 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It seems like the search space was exhausted. You were able to get 0% of the jobs you requested (got: 0, requested: 500) after main ran
start_time,end_time,run_time,program_string,n_samples,n_windows,disjoint_training_windows,result,exit_code,signal,hostname,OO_Info_runtime,OO_Info_lpd 1727795220,1727795714,494,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 357 n_windows 38 disjoint_training_windows False,357,38,False,0.2963627592860588,0,None,i7181,476,0.00013897870342690586 1727795220,1727795721,501,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 507 n_windows 161 disjoint_training_windows False,507,161,False,0.30551736613603475,0,None,i7181,484,0.00019168227784041976 1727795241,1727795723,482,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 270 n_windows 167 disjoint_training_windows False,270,167,False,0.2925072358900145,0,None,i7174,471,0.00010674065041846655 1727795241,1727795730,489,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 486 n_windows 132 disjoint_training_windows False,486,132,False,0.3020405209840811,0,None,i7174,478,0.00018572543094170363 1727795220,1727795739,519,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 977 n_windows 97 disjoint_training_windows False,977,97,False,0.31944766039556194,0,None,i7181,502,0.0003524342604726765 1727795189,1727795781,592,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 819 n_windows 46 disjoint_training_windows False,819,46,False,0.3182537385431742,0,None,i7186,544,0.0002967383569037077 1727795190,1727795786,596,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 951 n_windows 62 disjoint_training_windows False,951,62,False,0.3262614568258563,0,None,i7186,549,0.00033528508297708354 1727795189,1727795790,601,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 924 n_windows 86 disjoint_training_windows False,924,86,False,0.31823444283646884,0,None,i7186,552,0.00033451454930742203 1727795201,1727795800,599,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 151 n_windows 86 disjoint_training_windows False,151,86,False,0.27531837916063673,0,None,i7186,563,8.443595363609715e-05 1727795241,1727795928,687,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 209 n_windows 105 disjoint_training_windows False,209,105,False,0.3472551857211771,0,None,i7174,676,0.0007199582268477177 1727795189,1727795932,743,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 129 n_windows 145 disjoint_training_windows False,129,145,False,0.32550410033767485,0,None,i7186,695,0.0003506659216765517 1727795241,1727796024,783,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 123 n_windows 42 disjoint_training_windows True,123,42,True,0.32898697539797395,0,None,i7174,773,0 1727795220,1727796063,843,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 116 n_windows 54 disjoint_training_windows True,116,54,True,0.32898697539797395,0,None,i7181,826,0 1727795189,1727796110,921,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 117 n_windows 132 disjoint_training_windows True,117,132,True,0.32898697539797395,0,None,i7186,873,0 1727795220,1727796112,892,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 212 n_windows 123 disjoint_training_windows True,212,123,True,0.32898697539797395,0,None,i7181,874,0 1727795220,1727796179,959,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 287 n_windows 35 disjoint_training_windows True,287,35,True,0.32898697539797395,0,None,i7181,942,0 1727795220,1727796226,1006,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 371 n_windows 126 disjoint_training_windows True,371,126,True,0.32898697539797395,0,None,i7181,989,0 1727795189,1727796294,1105,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 405 n_windows 235 disjoint_training_windows True,405,235,True,0.32898697539797395,0,None,i7186,1056,0 1727795220,1727796397,1177,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 685 n_windows 96 disjoint_training_windows True,685,96,True,0.32898697539797395,0,None,i7181,1160,0 1727795190,1727796562,1372,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 878 n_windows 163 disjoint_training_windows True,878,163,True,0.32898697539797395,0,None,i7186,1325,0 1727796659,1727797140,481,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 451 n_windows 160 disjoint_training_windows False,451,160,False,0.3008104196816208,0,None,i7181,474,0.0001731162987632632 1727796659,1727797151,492,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 404 n_windows 107 disjoint_training_windows False,404,107,False,0.2962240713941148,0,None,i7181,485,0.0001573278276879238 1727796659,1727797154,495,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 442 n_windows 104 disjoint_training_windows False,442,104,False,0.3000096478533526,0,None,i7181,488,0.0001699357729356314 1727796673,1727797154,481,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 302 n_windows 50 disjoint_training_windows False,302,50,False,0.2935359382537386,0,None,i7181,475,0.0001195811060678881 1727796672,1727797154,482,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7174,475,4.3271834179885174e-05 1727796679,1727797156,477,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7174,471,4.3271834179885174e-05 1727796659,1727797159,500,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 466 n_windows 71 disjoint_training_windows False,466,71,False,0.30368065605402794,0,None,i7181,493,0.00017705849180951608 1727796673,1727797165,492,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 305 n_windows 39 disjoint_training_windows False,305,39,False,0.293312831644959,0,None,i7181,485,0.00012104647552981354 1727796679,1727797169,490,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 289 n_windows 25 disjoint_training_windows False,289,25,False,0.2865605402797877,0,None,i7174,484,0.00012050870499495681 1727796640,1727797175,535,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 441 n_windows 218 disjoint_training_windows False,441,218,False,0.3014206464061746,0,None,i7186,529,0.00016909125673597456 1727796640,1727797176,536,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 390 n_windows 250 disjoint_training_windows False,390,250,False,0.30052942595272547,0,None,i7186,529,0.00014994334107850424 1727796643,1727797176,533,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 318 n_windows 78 disjoint_training_windows False,318,78,False,0.29205619874577904,0,None,i7186,526,0.0001255889326667206 1727796639,1727797177,538,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 440 n_windows 25 disjoint_training_windows False,440,25,False,0.2990665701881331,0,None,i7186,530,0.00016971416116433522 1727796640,1727797178,538,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 152 n_windows 25 disjoint_training_windows False,152,25,False,0.2748432223830197,0,None,i7186,531,6.358714911654916e-05 1727796659,1727797190,531,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 1000 n_windows 25 disjoint_training_windows False,1000,25,False,0.3219536903039074,0,None,i7181,524,0.0003574949139033956 1727796673,1727797377,704,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 250 disjoint_training_windows False,100,250,False,0.36629281234925226,0,None,i7181,698,0.001303972366148532 1727796659,1727797540,881,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 250 disjoint_training_windows True,100,250,True,0.32898697539797395,0,None,i7186,873,0 1727797153,1727797662,509,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 426 n_windows 148 disjoint_training_windows False,426,148,False,0.3017317896767969,0,None,i7181,502,0.00016291998420356622 1727797259,1727797727,468,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7174,462,4.3271834179885174e-05 1727797200,1727797739,539,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 448 n_windows 226 disjoint_training_windows False,448,226,False,0.3026555716353111,0,None,i7186,532,0.0001711747597071704 1727797273,1727797741,468,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7174,462,4.3271834179885174e-05 1727797274,1727797742,468,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7174,462,4.3271834179885174e-05 1727797243,1727797744,501,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 310 n_windows 250 disjoint_training_windows False,310,250,False,0.2917462614568258,0,None,i7181,494,0.00012282124155086339 1727797200,1727797751,551,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 563 n_windows 151 disjoint_training_windows False,563,151,False,0.30444645441389295,0,None,i7186,544,0.00021356473065533107 1727797200,1727797757,557,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 581 n_windows 236 disjoint_training_windows False,581,236,False,0.3076965750120598,0,None,i7186,549,0.00021803436683335146 1727797213,1727797757,544,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 570 n_windows 235 disjoint_training_windows False,570,235,False,0.3088543174143753,0,None,i7186,537,0.0002136179416734925 1727797260,1727797765,505,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7181,498,4.3271834179885174e-05 1727797260,1727797766,506,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7181,499,4.3271834179885174e-05 1727797393,1727797889,496,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7181,489,4.3271834179885174e-05 1727796639,1727797935,1296,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 1000 n_windows 250 disjoint_training_windows True,1000,250,True,0.32898697539797395,0,None,i7186,1289,0 1727796699,1727797975,1276,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 1000 n_windows 65 disjoint_training_windows True,1000,65,True,0.32898697539797395,0,None,i7174,1269,0 1727797564,1727798100,536,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7186,528,4.3271834179885174e-05 1727797213,1727798101,888,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 250 disjoint_training_windows True,100,250,True,0.32898697539797395,0,None,i7186,880,0 1727796640,1727798150,1510,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 1000 n_windows 25 disjoint_training_windows True,1000,25,True,0.32898697539797395,0,None,i7186,1503,0 1727797684,1727798222,538,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 652 n_windows 250 disjoint_training_windows False,652,250,False,0.3129413892908828,0,None,i7181,531,0.00024093056060429398 1727797804,1727798309,505,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 579 n_windows 159 disjoint_training_windows False,579,159,False,0.31321273516642545,0,None,i7181,498,0.00021340808392821675 1727797784,1727798313,529,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 123 n_windows 42 disjoint_training_windows False,123,42,False,0.26928847081524365,0,None,i7186,522,5.244750424197884e-05 1727797784,1727798317,533,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 320 n_windows 170 disjoint_training_windows False,320,170,False,0.2940086830680174,0,None,i7186,526,0.00012561101044897307 1727797864,1727798325,461,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 123 n_windows 46 disjoint_training_windows False,123,46,False,0.27085745296671493,0,None,i7174,454,5.229803014151033e-05 1727797784,1727798326,542,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 125 n_windows 48 disjoint_training_windows False,125,48,False,0.2670272551857211,0,None,i7186,534,5.379096012112168e-05 1727797844,1727798333,489,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 683 n_windows 225 disjoint_training_windows False,683,225,False,0.313833815726001,0,None,i7174,483,0.0002513435233800975 1727797844,1727798339,495,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 123 n_windows 46 disjoint_training_windows False,123,46,False,0.27085745296671493,0,None,i7181,489,5.229803014151033e-05 1727797844,1727798342,498,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 123 n_windows 46 disjoint_training_windows False,123,46,False,0.27085745296671493,0,None,i7181,491,5.229803014151033e-05 1727797864,1727798353,489,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 774 n_windows 250 disjoint_training_windows False,774,250,False,0.3195369030390738,0,None,i7174,483,0.00027994613131036134 1727797925,1727798424,499,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 648 n_windows 208 disjoint_training_windows False,648,208,False,0.31070188133140375,0,None,i7181,493,0.00024079749034836616 1727797994,1727798445,451,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 123 n_windows 45 disjoint_training_windows False,123,45,False,0.2711480945489628,0,None,i7174,443,5.222276531651199e-05 1727797964,1727798491,527,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 123 n_windows 45 disjoint_training_windows False,123,45,False,0.2711480945489628,0,None,i7186,520,5.222276531651199e-05 1727797260,1727798573,1313,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 956 n_windows 69 disjoint_training_windows True,956,69,True,0.32898697539797395,0,None,i7181,1306,0 1727797179,1727798588,1409,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 1000 n_windows 25 disjoint_training_windows True,1000,25,True,0.32898697539797395,0,None,i7181,1402,0 1727797260,1727798646,1386,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 1000 n_windows 25 disjoint_training_windows True,1000,25,True,0.32898697539797395,0,None,i7181,1380,0 1727798144,1727798697,553,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 725 n_windows 226 disjoint_training_windows False,725,226,False,0.3124276410998553,0,None,i7186,545,0.00026824568737143426 1727798145,1727798698,553,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 758 n_windows 242 disjoint_training_windows False,758,242,False,0.3172575976845152,0,None,i7186,546,0.0002761266127928409 1727798175,1727798729,554,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 865 n_windows 250 disjoint_training_windows False,865,250,False,0.31776169802219,0,None,i7186,548,0.00031533380356484135 1727798344,1727798886,542,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 122 n_windows 39 disjoint_training_windows False,122,39,False,0.2706801736613603,0,None,i7186,535,5.174006337225248e-05 1727798364,1727798891,527,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 111 n_windows 25 disjoint_training_windows False,111,25,False,0.2672153883260975,0,None,i7186,520,4.7494121962061133e-05 1727798364,1727798906,542,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 530 n_windows 33 disjoint_training_windows False,530,33,False,0.30551013024602025,0,None,i7186,535,0.00020015973655983262 1727798384,1727798910,526,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 729 n_windows 178 disjoint_training_windows False,729,178,False,0.31272190062711047,0,None,i7181,519,0.00026893178712670353 1727798415,1727798927,512,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 111 n_windows 25 disjoint_training_windows False,111,25,False,0.2672153883260975,0,None,i7181,506,4.7494121962061133e-05 1727798415,1727798933,518,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 112 n_windows 25 disjoint_training_windows False,112,25,False,0.26923299565846603,0,None,i7181,511,4.76012125795049e-05 1727798415,1727798960,545,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 823 n_windows 250 disjoint_training_windows False,823,250,False,0.3183381572600097,0,None,i7181,538,0.0002990232752054983 1727798475,1727798982,507,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 111 n_windows 25 disjoint_training_windows False,111,25,False,0.2672153883260975,0,None,i7181,500,4.7494121962061133e-05 1727798595,1727799136,541,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 697 n_windows 25 disjoint_training_windows False,697,25,False,0.3118632416787265,0,None,i7181,534,0.00025787383094961455 1727798624,1727799177,553,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 707 n_windows 25 disjoint_training_windows False,707,25,False,0.31506994693680657,0,None,i7181,546,0.0002586588659941182 1727797744,1727799238,1494,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 1000 n_windows 25 disjoint_training_windows True,1000,25,True,0.32898697539797395,0,None,i7186,1487,0 1727798745,1727799299,554,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 845 n_windows 250 disjoint_training_windows False,845,250,False,0.32105764592378194,0,None,i7186,547,0.0003042026978403043 1727798245,1727799388,1143,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 526 n_windows 63 disjoint_training_windows True,526,63,True,0.32898697539797395,0,None,i7181,1136,0 1727798910,1727799450,540,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 137 n_windows 42 disjoint_training_windows False,137,42,False,0.2717390255668114,0,None,i7186,532,5.786736644644953e-05 1727798925,1727799493,568,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 1000 n_windows 250 disjoint_training_windows False,1000,250,False,0.32582368547998075,0,None,i7186,561,0.0003553963425011414 1727798950,1727799493,543,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 676 n_windows 25 disjoint_training_windows False,676,25,False,0.3130475156777617,0,None,i7186,536,0.0002491110811586252 1727798985,1727799513,528,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 643 n_windows 37 disjoint_training_windows False,643,37,False,0.31138929088277856,0,None,i7181,521,0.00023820527438472448 1727798424,1727799554,1130,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 526 n_windows 109 disjoint_training_windows True,526,109,True,0.32898697539797395,0,None,i7181,1123,0 1727798444,1727799561,1117,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 576 n_windows 250 disjoint_training_windows True,576,250,True,0.32898697539797395,0,None,i7181,1109,0 1727798524,1727799683,1159,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 535 n_windows 144 disjoint_training_windows True,535,144,True,0.32898697539797395,0,None,i7186,1152,0 1727798685,1727799838,1153,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 557 n_windows 111 disjoint_training_windows True,557,111,True,0.32898697539797395,0,None,i7181,1146,0 1727798725,1727799877,1152,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 479 n_windows 25 disjoint_training_windows True,479,25,True,0.32898697539797395,0,None,i7186,1145,0 1727799420,1727799927,507,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 139 n_windows 47 disjoint_training_windows False,139,47,False,0.27396164978292326,0,None,i7181,500,5.837397407653075e-05 1727798765,1727799953,1188,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 622 n_windows 199 disjoint_training_windows True,622,199,True,0.32898697539797395,0,None,i7186,1181,0 1727798955,1727800104,1149,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 585 n_windows 250 disjoint_training_windows True,585,250,True,0.32898697539797395,0,None,i7181,1141,0 1727798990,1727800112,1122,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 500 n_windows 160 disjoint_training_windows True,500,160,True,0.32898697539797395,0,None,i7181,1115,0 1727799600,1727800116,516,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 104 n_windows 26 disjoint_training_windows False,104,26,False,0.26649541726965753,0,None,i7181,509,4.4743992583865234e-05 1727799017,1727800135,1118,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 532 n_windows 250 disjoint_training_windows True,532,250,True,0.32898697539797395,0,None,i7181,1110,0 1727799037,1727800166,1129,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 474 n_windows 87 disjoint_training_windows True,474,87,True,0.32898697539797395,0,None,i7181,1122,0 1727799173,1727800268,1095,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 451 n_windows 145 disjoint_training_windows True,451,145,True,0.32898697539797395,0,None,i7181,1088,0 1727799220,1727800355,1135,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 515 n_windows 140 disjoint_training_windows True,515,140,True,0.32898697539797395,0,None,i7181,1128,0 1727799280,1727800382,1102,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 501 n_windows 250 disjoint_training_windows True,501,250,True,0.32898697539797395,0,None,i7186,1094,0 1727799903,1727800435,532,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7186,525,4.3271834179885174e-05 1727799947,1727800453,506,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7181,500,4.3271834179885174e-05 1727799343,1727800496,1153,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 517 n_windows 147 disjoint_training_windows True,517,147,True,0.32898697539797395,0,None,i7186,1146,0 1727799977,1727800509,532,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7186,526,4.3271834179885174e-05 1727799540,1727800529,989,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 270 n_windows 250 disjoint_training_windows True,270,250,True,0.32898697539797395,0,None,i7186,982,0 1727799480,1727800621,1141,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 472 n_windows 142 disjoint_training_windows True,472,142,True,0.32898697539797395,0,None,i7186,1134,0 1727800157,1727800672,515,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 278 n_windows 250 disjoint_training_windows False,278,250,False,0.2892932947419199,0,None,i7181,509,0.00011137451178380179 1727800143,1727800673,530,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7181,520,4.3271834179885174e-05 1727799526,1727800686,1160,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 630 n_windows 250 disjoint_training_windows True,630,250,True,0.32898697539797395,0,None,i7186,1153,0 1727799556,1727800694,1138,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 588 n_windows 250 disjoint_training_windows True,588,250,True,0.32898697539797395,0,None,i7181,1131,0 1727800184,1727800702,518,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7181,511,4.3271834179885174e-05 1727800163,1727800713,550,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 869 n_windows 147 disjoint_training_windows False,869,147,False,0.3223589001447178,0,None,i7181,543,0.0003108313132189287 1727800204,1727800725,521,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 293 n_windows 210 disjoint_training_windows False,293,210,False,0.29164978292329957,0,None,i7181,514,0.00011604185494047632 1727799580,1727800770,1190,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 755 n_windows 250 disjoint_training_windows True,755,250,True,0.32898697539797395,0,None,i7181,1184,0 1727799703,1727800818,1115,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 406 n_windows 25 disjoint_training_windows True,406,25,True,0.32898697539797395,0,None,i7186,1104,0 1727800304,1727800818,514,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7181,508,4.3271834179885174e-05 1727800381,1727800903,522,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7181,515,4.3271834179885174e-05 1727800401,1727800934,533,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7186,526,4.3271834179885174e-05 1727800517,1727801052,535,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7186,528,4.3271834179885174e-05 1727799863,1727801071,1208,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 762 n_windows 250 disjoint_training_windows True,762,250,True,0.32898697539797395,0,None,i7181,1200,0 1727800540,1727801079,539,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7186,531,4.3271834179885174e-05 1727800560,1727801096,536,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7186,529,4.3271834179885174e-05 1727800757,1727801218,461,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7174,454,4.3271834179885174e-05 1727800726,1727801234,508,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7181,501,4.3271834179885174e-05 1727800746,1727801240,494,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7181,488,4.3271834179885174e-05 1727800786,1727801247,461,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7174,455,4.3271834179885174e-05 1727800706,1727801248,542,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7186,535,4.3271834179885174e-05 1727800746,1727801265,519,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7181,512,4.3271834179885174e-05 1727800806,1727801266,460,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7174,454,4.3271834179885174e-05 1727800786,1727801299,513,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7181,506,4.3271834179885174e-05 1727800847,1727801366,519,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7181,511,4.3271834179885174e-05 1727800846,1727801381,535,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7186,528,4.3271834179885174e-05 1727800927,1727801449,522,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7181,515,4.3271834179885174e-05 1727801077,1727801613,536,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7186,529,4.3271834179885174e-05 1727801097,1727801629,532,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7186,525,4.3271834179885174e-05 1727801137,1727801662,525,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7181,518,4.3271834179885174e-05 1727801118,1727801662,544,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7186,537,4.3271834179885174e-05 1727801237,1727801663,426,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7174,419,4.3271834179885174e-05 1727800457,1727801665,1208,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 728 n_windows 250 disjoint_training_windows True,728,250,True,0.32898697539797395,0,None,i7186,1201,0 1727800480,1727801706,1226,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 904 n_windows 250 disjoint_training_windows True,904,250,True,0.32898697539797395,0,None,i7181,1219,0 1727801298,1727801787,489,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7181,482,4.3271834179885174e-05 1727801263,1727801803,540,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7186,532,4.3271834179885174e-05 1727801298,1727801812,514,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7181,507,4.3271834179885174e-05 1727801303,1727801824,521,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7181,515,4.3271834179885174e-05 1727801343,1727801865,522,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7181,514,4.3271834179885174e-05 1727800646,1727801889,1243,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 728 n_windows 217 disjoint_training_windows True,728,217,True,0.32898697539797395,0,None,i7186,1235,0 1727801388,1727801925,537,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7186,530,4.3271834179885174e-05 1727801418,1727801936,518,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7181,511,4.3271834179885174e-05 1727801643,1727802176,533,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7186,526,4.3271834179885174e-05 1727801658,1727802191,533,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7186,526,4.3271834179885174e-05 1727801718,1727802256,538,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7186,530,4.3271834179885174e-05 1727800967,1727802327,1360,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 794 n_windows 25 disjoint_training_windows True,794,25,True,0.32898697539797395,0,None,i7186,1353,0 1727801863,1727802374,511,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7181,504,4.3271834179885174e-05 1727801923,1727802448,525,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7181,518,4.3271834179885174e-05 1727801357,1727802468,1111,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 880 n_windows 165 disjoint_training_windows True,880,165,True,0.32898697539797395,0,None,i7174,1104,0 1727801959,1727802522,563,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 928 n_windows 250 disjoint_training_windows False,928,250,False,0.3218765074770863,0,None,i7186,556,0.0003334267697509377 1727801342,1727802580,1238,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 812 n_windows 25 disjoint_training_windows True,812,25,True,0.32898697539797395,0,None,i7174,1231,0 1727801478,1727802716,1238,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 682 n_windows 95 disjoint_training_windows True,682,95,True,0.32898697539797395,0,None,i7181,1231,0 1727802215,1727802745,530,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7186,523,4.3271834179885174e-05 1727802229,1727802759,530,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7186,522,4.3271834179885174e-05 1727802361,1727802893,532,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7186,524,4.3271834179885174e-05 1727802401,1727802914,513,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7181,506,4.3271834179885174e-05 1727801703,1727802956,1253,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 685 n_windows 103 disjoint_training_windows True,685,103,True,0.32898697539797395,0,None,i7186,1246,0 1727802499,1727802966,467,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7174,457,4.3271834179885174e-05 1727801718,1727802977,1259,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 712 n_windows 88 disjoint_training_windows True,712,88,True,0.32898697539797395,0,None,i7181,1251,0 1727802481,1727802992,511,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7181,504,4.3271834179885174e-05 1727802606,1727803044,438,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7174,432,4.3271834179885174e-05 1727801838,1727803070,1232,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 800 n_windows 114 disjoint_training_windows True,800,114,True,0.32898697539797395,0,None,i7181,1225,0 1727802546,1727803079,533,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7186,525,4.3271834179885174e-05 1727801743,1727803090,1347,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 829 n_windows 64 disjoint_training_windows True,829,64,True,0.32898697539797395,0,None,i7181,1340,0 1727801883,1727803100,1217,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 674 n_windows 110 disjoint_training_windows True,674,110,True,0.32898697539797395,0,None,i7181,1210,0 1727801808,1727803173,1365,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 819 n_windows 25 disjoint_training_windows True,819,25,True,0.32898697539797395,0,None,i7186,1357,0 1727801984,1727803208,1224,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 708 n_windows 91 disjoint_training_windows True,708,91,True,0.32898697539797395,0,None,i7181,1217,0 1727802739,1727803242,503,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7181,495,4.3271834179885174e-05 1727801899,1727803262,1363,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 773 n_windows 25 disjoint_training_windows True,773,25,True,0.32898697539797395,0,None,i7186,1356,0 1727802770,1727803306,536,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7186,529,4.3271834179885174e-05 1727802800,1727803337,537,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7186,530,4.3271834179885174e-05 1727802920,1727803457,537,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7186,530,4.3271834179885174e-05 1727802950,1727803482,532,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7181,525,4.3271834179885174e-05 1727803061,1727803500,439,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7174,433,4.3271834179885174e-05 1727803021,1727803523,502,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7181,495,4.3271834179885174e-05 1727802289,1727803535,1246,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 696 n_windows 100 disjoint_training_windows True,696,100,True,0.32898697539797395,0,None,i7186,1239,0 1727803001,1727803538,537,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7186,530,4.3271834179885174e-05 1727803040,1727803550,510,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7181,503,4.3271834179885174e-05 1727803081,1727803550,469,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7181,463,4.3271834179885174e-05 1727803141,1727803614,473,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7181,466,4.3271834179885174e-05 1727803100,1727803638,538,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7186,530,4.3271834179885174e-05 1727803160,1727803677,517,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7181,510,4.3271834179885174e-05 1727803160,1727803677,517,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7181,511,4.3271834179885174e-05 1727803201,1727803741,540,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7186,532,4.3271834179885174e-05 1727803301,1727803758,457,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7174,451,4.3271834179885174e-05 1727803242,1727803761,519,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7181,512,4.3271834179885174e-05 1727803280,1727803836,556,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7186,549,4.3271834179885174e-05 1727803340,1727803881,541,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7186,534,4.3271834179885174e-05 1727803365,1727803920,555,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7186,548,4.3271834179885174e-05 1727803520,1727804030,510,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7181,502,4.3271834179885174e-05 1727803490,1727804033,543,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7186,536,4.3271834179885174e-05 1727803601,1727804091,490,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7181,483,4.3271834179885174e-05 1727803541,1727804092,551,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7186,543,4.3271834179885174e-05 1727803580,1727804124,544,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7186,537,4.3271834179885174e-05 1727803601,1727804125,524,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7181,517,4.3271834179885174e-05 1727803640,1727804129,489,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7181,482,4.3271834179885174e-05 1727803641,1727804154,513,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7181,506,4.3271834179885174e-05 1727803681,1727804186,505,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7181,498,4.3271834179885174e-05 1727803730,1727804191,461,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7174,455,4.3271834179885174e-05 1727803670,1727804216,546,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7186,535,4.3271834179885174e-05 1727803721,1727804238,517,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7181,510,4.3271834179885174e-05 1727803820,1727804281,461,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7174,454,4.3271834179885174e-05 1727803790,1727804332,542,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7186,534,4.3271834179885174e-05 1727803820,1727804333,513,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7181,505,4.3271834179885174e-05 1727803881,1727804435,554,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7186,547,4.3271834179885174e-05 1727803911,1727804451,540,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7186,533,4.3271834179885174e-05 1727803971,1727804508,537,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7186,530,4.3271834179885174e-05 1727804091,1727804600,509,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7181,502,4.3271834179885174e-05 1727804091,1727804628,537,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7186,531,4.3271834179885174e-05 1727804121,1727804664,543,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7186,536,4.3271834179885174e-05 1727804211,1727804676,465,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7181,458,4.3271834179885174e-05 1727804211,1727804676,465,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7181,458,4.3271834179885174e-05 1727804151,1727804695,544,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7186,537,4.3271834179885174e-05 1727804212,1727804718,506,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7181,499,4.3271834179885174e-05 1727804333,1727804754,421,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7174,415,4.3271834179885174e-05 1727804271,1727804772,501,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7181,494,4.3271834179885174e-05 1727804271,1727804791,520,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7181,513,4.3271834179885174e-05 1727804390,1727804797,407,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7174,401,4.3271834179885174e-05 1727804301,1727804810,509,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7181,501,4.3271834179885174e-05 1727804271,1727804815,544,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 121 n_windows 78 disjoint_training_windows False,121,78,False,0.26754944524843227,0,None,i7186,537,5.2237631748283645e-05 1727804391,1727804901,510,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7181,503,4.3271834179885174e-05 1727804361,1727804904,543,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7186,534,4.3271834179885174e-05 1727804474,1727805032,558,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7186,548,4.3271834179885174e-05 1727804511,1727805052,541,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7186,534,4.3271834179885174e-05 1727804541,1727805080,539,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7186,531,4.3271834179885174e-05 1727804634,1727805171,537,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7186,529,4.3271834179885174e-05 1727804662,1727805180,518,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7181,511,4.3271834179885174e-05 1727804691,1727805231,540,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7186,532,4.3271834179885174e-05 1727804752,1727805292,540,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7181,533,4.3271834179885174e-05 1727804752,1727805297,545,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 571 n_windows 90 disjoint_training_windows False,571,90,False,0.30307163531114323,0,None,i7186,538,0.00021731390179763682 1727804812,1727805300,488,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7181,481,4.3271834179885174e-05 1727804774,1727805302,528,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7181,520,4.3271834179885174e-05 1727804812,1727805329,517,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7181,510,4.3271834179885174e-05 1727804895,1727805381,486,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7181,479,4.3271834179885174e-05 1727804895,1727805411,516,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7181,508,4.3271834179885174e-05 1727804955,1727805414,459,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7174,451,4.3271834179885174e-05 1727804875,1727805424,549,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 568 n_windows 93 disjoint_training_windows False,568,93,False,0.30647370959961406,0,None,i7186,542,0.00021393253393976985 1727804915,1727805452,537,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7186,530,4.3271834179885174e-05 1727804932,1727805454,522,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7181,515,4.3271834179885174e-05 1727805062,1727805614,552,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7186,545,4.3271834179885174e-05 1727805102,1727805637,535,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7186,527,4.3271834179885174e-05 1727805122,1727805661,539,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7186,532,4.3271834179885174e-05 1727805215,1727805758,543,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 633 n_windows 99 disjoint_training_windows False,633,99,False,0.3101808972503618,0,None,i7186,536,0.00023548476034090067 1727805275,1727805788,513,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7181,506,4.3271834179885174e-05 1727805255,1727805791,536,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7186,529,4.3271834179885174e-05 1727805382,1727805872,490,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7181,483,4.3271834179885174e-05 1727805322,1727805881,559,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 1000 n_windows 155 disjoint_training_windows False,1000,155,False,0.3219271587071877,0,None,i7186,552,0.00035795927485940903 1727805402,1727805891,489,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7181,482,4.3271834179885174e-05 1727805412,1727805931,519,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7181,512,4.3271834179885174e-05 1727805422,1727805938,516,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7181,509,4.3271834179885174e-05 1727805562,1727806005,443,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7174,435,4.3271834179885174e-05 1727805482,1727806020,538,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7186,531,4.3271834179885174e-05 1727805502,1727806023,521,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7181,514,4.3271834179885174e-05 1727805502,1727806040,538,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7186,531,4.3271834179885174e-05 1727805522,1727806043,521,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7181,514,4.3271834179885174e-05 1727805550,1727806067,517,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7181,510,4.3271834179885174e-05 1727805719,1727806275,556,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 1000 n_windows 186 disjoint_training_windows False,1000,186,False,0.3278075253256151,0,None,i7186,548,0.00035169933780642896 1727805803,1727806359,556,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 865 n_windows 146 disjoint_training_windows False,865,146,False,0.31787867824409066,0,None,i7186,549,0.0003138920510165568 1727805923,1727806452,529,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7186,522,4.3271834179885174e-05 1727805953,1727806474,521,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7181,515,4.3271834179885174e-05 1727805983,1727806486,503,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7181,495,4.3271834179885174e-05 1727806043,1727806597,554,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 862 n_windows 202 disjoint_training_windows False,862,202,False,0.3195586107091172,0,None,i7186,547,0.0003111583611124106 1727806103,1727806615,512,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7181,506,4.3271834179885174e-05 1727806103,1727806632,529,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7186,522,4.3271834179885174e-05 1727805653,1727806639,986,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 232 n_windows 185 disjoint_training_windows True,232,185,True,0.32898697539797395,0,None,i7186,979,0 1727806163,1727806686,523,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7181,516,4.3271834179885174e-05 1727806193,1727806701,508,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7181,502,4.3271834179885174e-05 1727806193,1727806702,509,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7181,502,4.3271834179885174e-05 1727805853,1727806748,895,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 114 n_windows 193 disjoint_training_windows True,114,193,True,0.32898697539797395,0,None,i7186,888,0 1727805853,1727806805,952,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 264 n_windows 184 disjoint_training_windows True,264,184,True,0.32898697539797395,0,None,i7181,945,0 1727806313,1727806843,530,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7186,523,4.3271834179885174e-05 1727806014,1727806912,898,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 188 n_windows 190 disjoint_training_windows True,188,190,True,0.32898697539797395,0,None,i7181,891,0 1727806403,1727806937,534,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7186,527,4.3271834179885174e-05 1727806493,1727807027,534,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7186,526,4.3271834179885174e-05 1727806133,1727807031,898,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 161 n_windows 166 disjoint_training_windows True,161,166,True,0.32898697539797395,0,None,i7181,891,0 1727806553,1727807038,485,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 801 n_windows 124 disjoint_training_windows False,801,124,False,0.3184310178485287,0,None,i7174,476,0.00029024075694514566 1727806553,1727807047,494,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7181,487,4.3271834179885174e-05 1727805683,1727807066,1383,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 1000 n_windows 136 disjoint_training_windows True,1000,136,True,0.32898697539797395,0,None,i7186,1376,0 1727806644,1727807192,548,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7186,541,4.3271834179885174e-05 1727806704,1727807243,539,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7186,533,4.3271834179885174e-05 1727806733,1727807247,514,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7181,506,4.3271834179885174e-05 1727806734,1727807275,541,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7186,534,4.3271834179885174e-05 1727806824,1727807337,513,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7181,506,4.3271834179885174e-05 1727806824,1727807338,514,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7181,507,4.3271834179885174e-05 1727806794,1727807347,553,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7186,546,4.3271834179885174e-05 1727806884,1727807387,503,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7181,497,4.3271834179885174e-05 1727806884,1727807425,541,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7186,534,4.3271834179885174e-05 1727806914,1727807447,533,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 820 n_windows 43 disjoint_training_windows False,820,43,False,0.31676676314520025,0,None,i7181,526,0.00029850616042687684 1727806974,1727807508,534,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7186,527,4.3271834179885174e-05 1727807004,1727807532,528,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 823 n_windows 132 disjoint_training_windows False,823,132,False,0.31650506512301013,0,None,i7181,522,0.0002999546406894615 1727807064,1727807621,557,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 822 n_windows 121 disjoint_training_windows False,822,121,False,0.31588760250844183,0,None,i7186,549,0.00029997207200345297 1727807184,1727807634,450,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7174,443,4.3271834179885174e-05 1727807154,1727807643,489,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7181,483,4.3271834179885174e-05 1727807154,1727807670,516,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7181,509,4.3271834179885174e-05 1727807154,1727807692,538,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7186,531,4.3271834179885174e-05 1727807244,1727807801,557,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7186,549,4.3271834179885174e-05 1727807304,1727807840,536,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7186,529,4.3271834179885174e-05 1727807334,1727807876,542,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7186,534,4.3271834179885174e-05 1727807364,1727807914,550,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7186,543,4.3271834179885174e-05 1727807424,1727807946,522,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7181,515,4.3271834179885174e-05 1727807424,1727807950,526,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7181,519,4.3271834179885174e-05 1727807454,1727807992,538,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7186,530,4.3271834179885174e-05 1727807485,1727808007,522,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7181,516,4.3271834179885174e-05 1727807514,1727808050,536,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7186,529,4.3271834179885174e-05 1727807544,1727808070,526,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7181,518,4.3271834179885174e-05 1727807606,1727808122,516,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7181,510,4.3271834179885174e-05 1727807606,1727808125,519,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7181,513,4.3271834179885174e-05 1727807665,1727808204,539,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7186,532,4.3271834179885174e-05 1727807784,1727808248,464,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 874 n_windows 25 disjoint_training_windows False,874,25,False,0.31779305354558607,0,None,i7174,457,0.0003169656023973948 1727807725,1727808256,531,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7181,524,4.3271834179885174e-05 1727807784,1727808262,478,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7181,471,4.3271834179885174e-05 1727807725,1727808264,539,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7186,532,4.3271834179885174e-05 1727807845,1727808396,551,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7186,544,4.3271834179885174e-05 1727807905,1727808445,540,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7186,533,4.3271834179885174e-05 1727807935,1727808503,568,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7186,561,4.3271834179885174e-05 1727807965,1727808509,544,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7186,537,4.3271834179885174e-05 1727808025,1727808534,509,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7181,502,4.3271834179885174e-05 1727808025,1727808578,553,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 874 n_windows 25 disjoint_training_windows False,874,25,False,0.31779305354558607,0,None,i7186,546,0.0003169656023973948 1727808085,1727808622,537,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7186,530,4.3271834179885174e-05 1727808115,1727808632,517,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7181,507,4.3271834179885174e-05 1727808145,1727808672,527,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7181,520,4.3271834179885174e-05 1727808176,1727808695,519,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7181,510,4.3271834179885174e-05 1727808205,1727808711,506,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7181,499,4.3271834179885174e-05 1727808235,1727808775,540,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7186,532,4.3271834179885174e-05 1727808265,1727808784,519,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7181,512,4.3271834179885174e-05 1727808325,1727808836,511,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7181,504,4.3271834179885174e-05 1727808385,1727808846,461,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 367 n_windows 74 disjoint_training_windows False,367,74,False,0.2965002411963338,0,None,i7174,453,0.00014280730245205917 1727808325,1727808862,537,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7186,529,4.3271834179885174e-05 1727808385,1727808877,492,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7181,485,4.3271834179885174e-05 1727808446,1727808998,552,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7186,545,4.3271834179885174e-05 1727808506,1727809037,531,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7186,524,4.3271834179885174e-05 1727808566,1727809111,545,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 582 n_windows 25 disjoint_training_windows False,582,25,False,0.3076133622768934,0,None,i7186,538,0.0002182462143031122 1727808596,1727809133,537,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7186,530,4.3271834179885174e-05 1727808626,1727809167,541,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7186,534,4.3271834179885174e-05 1727808656,1727809194,538,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7186,531,4.3271834179885174e-05 1727808716,1727809234,518,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7181,511,4.3271834179885174e-05 1727808716,1727809240,524,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7181,517,4.3271834179885174e-05 1727808806,1727809333,527,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7181,521,4.3271834179885174e-05 1727808806,1727809342,536,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7186,529,4.3271834179885174e-05 1727808836,1727809363,527,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7181,521,4.3271834179885174e-05 1727808896,1727809377,481,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7181,474,4.3271834179885174e-05 1727808866,1727809407,541,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 582 n_windows 25 disjoint_training_windows False,582,25,False,0.3076133622768934,0,None,i7186,534,0.0002182462143031122 1727808956,1727809475,519,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7181,512,4.3271834179885174e-05 1727808956,1727809485,529,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7181,522,4.3271834179885174e-05 1727809046,1727809601,555,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7186,548,4.3271834179885174e-05 1727809106,1727809645,539,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7186,532,4.3271834179885174e-05 1727809166,1727809705,539,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7186,531,4.3271834179885174e-05 1727809197,1727809737,540,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7186,533,4.3271834179885174e-05 1727809257,1727809794,537,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7186,531,4.3271834179885174e-05 1727809287,1727809826,539,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7186,532,4.3271834179885174e-05 1727809347,1727809863,516,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7181,510,4.3271834179885174e-05 1727809347,1727809886,539,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7186,532,4.3271834179885174e-05 1727809376,1727809896,520,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7181,512,4.3271834179885174e-05 1727809467,1727809954,487,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7181,480,4.3271834179885174e-05 1727809467,1727810005,538,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7186,531,4.3271834179885174e-05 1727809497,1727810020,523,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7181,517,4.3271834179885174e-05 1727809557,1727810080,523,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7181,516,4.3271834179885174e-05 1727809587,1727810101,514,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7181,507,4.3271834179885174e-05 1727809587,1727810108,521,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7181,514,4.3271834179885174e-05 1727809648,1727810203,555,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7186,548,4.3271834179885174e-05 1727808986,1727810220,1234,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 616 n_windows 25 disjoint_training_windows True,616,25,True,0.32898697539797395,0,None,i7181,1227,0 1727809708,1727810251,543,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7186,536,4.3271834179885174e-05 1727809767,1727810310,543,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7186,536,4.3271834179885174e-05 1727809797,1727810341,544,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7186,537,4.3271834179885174e-05 1727809857,1727810399,542,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7186,535,4.3271834179885174e-05 1727809887,1727810432,545,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7186,537,4.3271834179885174e-05 1727809977,1727810457,480,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7181,473,4.3271834179885174e-05 1727809917,1727810457,540,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7186,533,4.3271834179885174e-05 1727810007,1727810514,507,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7181,499,4.3271834179885174e-05 1727810038,1727810577,539,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7186,532,4.3271834179885174e-05 1727810127,1727810643,516,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7181,508,4.3271834179885174e-05 1727810127,1727810649,522,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 339 n_windows 120 disjoint_training_windows False,339,120,False,0.29378798842257603,0,None,i7181,515,0.000133184671566698 1727810217,1727810735,518,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7181,510,4.3271834179885174e-05 1727810247,1727810763,516,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7181,508,4.3271834179885174e-05 1727810218,1727810770,552,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7186,545,4.3271834179885174e-05 1727810307,1727810801,494,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 306 n_windows 231 disjoint_training_windows False,306,231,False,0.29275205016883743,0,None,i7181,487,0.00012085002930029042 1727810308,1727810855,547,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7186,540,4.3271834179885174e-05 1727810368,1727810914,546,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7186,539,4.3271834179885174e-05 1727810398,1727810939,541,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7186,534,4.3271834179885174e-05 1727810426,1727810970,544,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7186,537,4.3271834179885174e-05 1727810506,1727811049,543,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7186,536,4.3271834179885174e-05 1727810518,1727811068,550,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7186,543,4.3271834179885174e-05 1727810602,1727811107,505,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7181,498,4.3271834179885174e-05 1727810622,1727811109,487,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7181,480,4.3271834179885174e-05 1727810602,1727811147,545,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7186,535,4.3271834179885174e-05 1727810667,1727811159,492,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7181,486,4.3271834179885174e-05 1727810723,1727811232,509,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7181,502,4.3271834179885174e-05 1727810743,1727811257,514,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7181,508,4.3271834179885174e-05 1727810792,1727811357,565,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7186,555,4.3271834179885174e-05 1727810903,1727811390,487,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7181,481,4.3271834179885174e-05 1727810878,1727811424,546,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7186,538,4.3271834179885174e-05 1727810923,1727811468,545,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7186,538,4.3271834179885174e-05 1727810984,1727811524,540,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7186,533,4.3271834179885174e-05 1727810999,1727811541,542,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7186,535,4.3271834179885174e-05 1727811144,1727811618,474,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7181,467,4.3271834179885174e-05 1727811084,1727811630,546,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7186,539,4.3271834179885174e-05 1727811164,1727811706,542,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7186,535,4.3271834179885174e-05 1727811265,1727811737,472,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7181,466,4.3271834179885174e-05 1727811285,1727811788,503,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7181,496,4.3271834179885174e-05 1727811299,1727811802,503,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7181,496,4.3271834179885174e-05 1727811325,1727811833,508,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7181,501,4.3271834179885174e-05 1727811385,1727811895,510,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7181,503,4.3271834179885174e-05 1727811365,1727811921,556,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7186,548,4.3271834179885174e-05 1727811059,1727811934,875,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows True,100,25,True,0.32898697539797395,0,None,i7186,868,0 1727811465,1727812007,542,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7186,534,4.3271834179885174e-05 1727811479,1727812021,542,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7186,534,4.3271834179885174e-05 1727811539,1727812079,540,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7186,533,4.3271834179885174e-05 1727811565,1727812109,544,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7186,536,4.3271834179885174e-05 1727811620,1727812119,499,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7181,493,4.3271834179885174e-05 1727811640,1727812182,542,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7186,535,4.3271834179885174e-05 1727811719,1727812213,494,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7181,488,4.3271834179885174e-05 1727811719,1727812255,536,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7186,528,4.3271834179885174e-05 1727811779,1727812286,507,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7181,499,4.3271834179885174e-05 1727811822,1727812316,494,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7181,487,4.3271834179885174e-05 1727811902,1727812410,508,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7181,501,4.3271834179885174e-05 1727811922,1727812429,507,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7181,500,4.3271834179885174e-05 1727811942,1727812497,555,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7186,548,4.3271834179885174e-05 1727812020,1727812562,542,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7186,534,4.3271834179885174e-05 1727812050,1727812595,545,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7186,538,4.3271834179885174e-05 1727812071,1727812616,545,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7186,538,4.3271834179885174e-05 1727812131,1727812672,541,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7186,534,4.3271834179885174e-05 1727812151,1727812692,541,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7186,534,4.3271834179885174e-05 1727812258,1727812768,510,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7181,503,4.3271834179885174e-05 1727812230,1727812777,547,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7186,540,4.3271834179885174e-05 1727812278,1727812816,538,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7186,530,4.3271834179885174e-05 1727812380,1727812857,477,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7181,470,4.3271834179885174e-05 1727812350,1727812861,511,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7181,503,4.3271834179885174e-05 1727812405,1727812877,472,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7181,466,4.3271834179885174e-05 1727812465,1727812976,511,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7181,504,4.3271834179885174e-05 1727812485,1727812996,511,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7181,505,4.3271834179885174e-05 1727812560,1727813019,459,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7181,452,4.3271834179885174e-05 1727812546,1727813099,553,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7186,546,4.3271834179885174e-05 1727812646,1727813192,546,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7186,538,4.3271834179885174e-05 1727812666,1727813203,537,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7186,530,4.3271834179885174e-05 1727812726,1727813267,541,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7186,534,4.3271834179885174e-05 1727812746,1727813281,535,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7186,528,4.3271834179885174e-05 1727812806,1727813350,544,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7186,536,4.3271834179885174e-05 1727812831,1727813375,544,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7186,537,4.3271834179885174e-05 1727812966,1727813477,511,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7181,502,4.3271834179885174e-05 1727812926,1727813479,553,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7186,546,4.3271834179885174e-05 1727812981,1727813481,500,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7181,493,4.3271834179885174e-05 1727813071,1727813576,505,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7181,498,4.3271834179885174e-05 1727813094,1727813600,506,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7181,499,4.3271834179885174e-05 1727813101,1727813602,501,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7181,494,4.3271834179885174e-05 1727813194,1727813675,481,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7181,474,4.3271834179885174e-05 1727813131,1727813684,553,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7186,546,4.3271834179885174e-05 1727813214,1727813752,538,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7186,531,4.3271834179885174e-05 1727813235,1727813774,539,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7186,532,4.3271834179885174e-05 1727813294,1727813836,542,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7186,535,4.3271834179885174e-05 1727813334,1727813879,545,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7186,537,4.3271834179885174e-05 1727813394,1727813937,543,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7186,536,4.3271834179885174e-05 1727813402,1727813939,537,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7186,531,4.3271834179885174e-05 1727813463,1727813949,486,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7181,480,4.3271834179885174e-05 1727813483,1727813997,514,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7181,507,4.3271834179885174e-05 1727813581,1727814065,484,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7181,477,4.3271834179885174e-05 1727813552,1727814094,542,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7186,535,4.3271834179885174e-05 1727813628,1727814129,501,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7181,494,4.3271834179885174e-05 1727813727,1727814214,487,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7181,480,4.3271834179885174e-05 1727813702,1727814259,557,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7186,550,4.3271834179885174e-05 1727813792,1727814336,544,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7186,537,4.3271834179885174e-05 1727813817,1727814355,538,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7186,531,4.3271834179885174e-05 1727813880,1727814418,538,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7186,531,4.3271834179885174e-05 1727813900,1727814441,541,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7186,534,4.3271834179885174e-05 1727813982,1727814526,544,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7186,537,4.3271834179885174e-05 1727814022,1727814565,543,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7186,536,4.3271834179885174e-05 1727814152,1727814632,480,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7181,473,4.3271834179885174e-05 1727814173,1727814646,473,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7181,466,4.3271834179885174e-05 1727814109,1727814654,545,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7186,538,4.3271834179885174e-05 1727814182,1727814690,508,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7181,501,4.3271834179885174e-05 1727814303,1727814765,462,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7181,456,4.3271834179885174e-05 1727814318,1727814818,500,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7181,493,4.3271834179885174e-05 1727814278,1727814833,555,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7186,548,4.3271834179885174e-05 1727814418,1727814968,550,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7186,542,4.3271834179885174e-05 1727814393,1727814969,576,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 248 n_windows 25 disjoint_training_windows False,248,25,False,0.29287264833574533,0,None,i7186,569,0.00011446719390146959 1727814478,1727815031,553,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7186,545,4.3271834179885174e-05 1727814513,1727815054,541,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7186,535,4.3271834179885174e-05 1727814573,1727815112,539,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7186,532,4.3271834179885174e-05 1727814603,1727815142,539,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7186,532,4.3271834179885174e-05 1727814718,1727815211,493,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7181,486,4.3271834179885174e-05 1727814678,1727815221,543,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7186,535,4.3271834179885174e-05 1727814813,1727815310,497,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7181,491,4.3271834179885174e-05 1727814873,1727815364,491,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 209 n_windows 25 disjoint_training_windows False,209,25,False,0.2821502653159672,0,None,i7181,485,8.625975178524319e-05 1727814898,1727815387,489,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7181,483,4.3271834179885174e-05 1727814838,1727815388,550,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7186,542,4.3271834179885174e-05 1727814965,1727815446,481,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7181,474,4.3271834179885174e-05 1727814985,1727815514,529,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7186,522,4.3271834179885174e-05 1727815023,1727815551,528,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7186,521,4.3271834179885174e-05 1727815091,1727815618,527,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 126 n_windows 80 disjoint_training_windows False,126,80,False,0.26943680656054025,0,None,i7186,520,5.405128294903516e-05 1727815131,1727815660,529,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.26486131210805597,0,None,i7186,522,4.3271834179885174e-05
timestamp,ram_usage_mb,cpu_usage_percent 1727795161,473.49609375,49.7 1727795161,473.52734375,50.5 1727795161,473.58984375,49.9 1727795161,473.58984375,54.2 1727795161,473.58984375,37.5 1727795161,473.58984375,50.3 1727795161,473.58984375,37.5 1727795210,478.2734375,49.8 1727795210,478.2734375,40.0 1727795210,478.2734375,49.9 1727795210,478.2734375,55.6 1727795211,478.28125,49.7 1727795211,478.28125,55.3 1727795211,478.28125,48.5 1727795211,478.28125,39.4 1727795213,478.28125,49.8 1727795213,478.28125,53.2 1727795213,478.28125,46.8 1727795213,478.28125,58.7 1727795214,478.28125,49.7 1727795214,478.28125,38.2 1727795214,478.28125,53.8 1727795214,478.28125,41.2 1727795216,478.28125,49.8 1727795216,478.28125,38.2 1727795216,478.28125,53.8 1727795216,478.28125,40.6 1727795217,478.28125,49.8 1727795217,478.28125,55.3 1727795217,478.28125,49.5 1727795217,478.28125,40.6 1727795218,478.28125,49.7 1727795218,478.28125,56.3 1727795218,478.28125,49.0 1727795218,478.28125,40.6 1727795220,478.28125,49.8 1727795220,478.28125,40.0 1727795220,478.28125,52.0 1727795220,478.28125,52.1 1727795221,478.28125,49.8 1727795221,478.28125,54.3 1727795221,478.28125,49.5 1727795221,478.28125,55.6 1727795222,478.28125,49.8 1727795222,478.28125,56.3 1727795222,478.28125,47.2 1727795222,478.28125,57.8 1727795224,478.28125,49.8 1727795224,478.28125,37.5 1727795224,478.28125,52.2 1727795224,478.28125,48.6 1727795226,478.28125,49.7 1727795226,478.28125,55.3 1727795226,478.28125,48.6 1727795226,478.28125,54.3 1727795227,478.29296875,49.7 1727795227,478.29296875,54.2 1727795227,478.29296875,49.5 1727795227,478.29296875,55.6 1727795228,478.29296875,49.7 1727795228,478.29296875,56.2 1727795228,478.29296875,50.0 1727795228,478.29296875,39.4 1727795230,478.29296875,49.8 1727795230,478.29296875,40.0 1727795230,478.29296875,52.9 1727795230,478.29296875,37.5 1727795231,478.296875,49.8 1727795231,478.296875,54.3 1727795231,478.296875,49.0 1727795231,478.296875,52.4 1727795232,478.296875,49.7 1727795232,478.296875,48.8 1727795232,478.296875,48.6 1727795232,478.296875,56.8 1727795234,478.296875,49.8 1727795234,478.296875,57.4 1727795234,478.296875,48.1 1727795234,478.296875,39.4 1727795235,478.296875,49.8 1727795235,478.296875,37.1 1727795235,478.296875,50.9 1727795235,478.296875,50.0 1727795237,478.296875,49.7 1727795237,478.296875,48.8 1727795237,478.296875,50.5 1727795237,478.296875,39.4 1727795238,478.30078125,49.8 1727795238,478.30078125,38.2 1727795238,478.30078125,53.3 1727795238,478.30078125,39.4 1727795239,478.30078125,49.8 1727795239,478.30078125,37.5 1727795239,478.30078125,53.7 1727795239,478.30078125,38.7 1727795241,478.30078125,49.7 1727795241,478.30078125,56.3 1727795241,478.30078125,47.6 1727795241,478.30078125,55.6 1727795242,478.30078125,49.7 1727795242,478.30078125,47.5 1727795242,478.30078125,50.9 1727795242,478.30078125,40.6 1727795244,478.30078125,48.1 1727795244,478.30078125,53.2 1727795244,478.30078125,50.0 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This is a heatmap that visualizes the correlation between numerical columns in a dataset. The values represented in the heatmap show the strength and direction of relationships between different variables.
The heatmap uses a matrix to represent correlations between each pair of numerical columns. The calculation behind this is based on the concept of "correlation," which measures how strongly two variables are related. A correlation can be positive, negative, or zero:
The heatmap uses a color scale called "Viridis," which ranges from yellow to purple. Here's what the colors represent:
In the heatmap, each cell represents the correlation between two numerical columns. The color of the cell is determined by the correlation coefficient: from yellow for strong positive correlations, through green and blue for weaker correlations, to purple for strong negative correlations.
submitit INFO (2024-10-01 17:06:10,056) - Starting with JobEnvironment(job_id=2328366, hostname=i7186, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2024-10-01 17:06:10,058) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/unsupervised-concept-drift-detection-main/runs/UDetect_PokerHand/0/single_runs/2328366/2328366_submitted.pkl
Parameters: {"n_samples": 878, "n_windows": 163, "disjoint_training_windows": "True"}
Debug-Infos:
========
DEBUG INFOS START:
Program-Code: module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 878 n_windows 163 disjoint_training_windows True
pwd: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/unsupervised-concept-drift-detection-main
File: /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate
UID: 2063769
GID: 200270
Status-Change-Time: 1724762786.0
Size: 2165 Bytes
Permissions: -rw-r--r--
Owner: s4122485
Last access: 1727794993.0
Last modification: 1724759185.0
Hostname: i7186
pwd: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/unsupervised-concept-drift-detection-main
File: main_omniopt.py
UID: 2063769
GID: 200270
Status-Change-Time: 1727277242.0
Size: 1729 Bytes
Permissions: -rw-r--r--
Owner: s4122485
Last access: 1727791224.0
Last modification: 1727277242.0
Hostname: i7186
========
DEBUG INFOS END
module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 UDetect n_samples 878 n_windows 163 disjoint_training_windows True
stdout:
RESULT: 0.32898697539797395
OO-Info: runtime: 1325
OO-Info: lpd: 0
Result: 0.32898697539797395
EXIT_CODE: 0
submitit INFO (2024-10-01 17:29:22,910) - Job completed successfully
submitit INFO (2024-10-01 17:29:22,913) - Exiting after successful completion
Job-Infos
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background-image: url("data:image/svg+xml;charset=utf-8,%3Csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 -0.5 15 17' shape-rendering='crispEdges'%3E%3Cpath stroke='%23e6eefc' d='M0 0h1'/%3E%3Cpath stroke='%23d1e0fd' d='M1 0h1M0 1h1m3 0h2M2 3h1M2 4h1'/%3E%3Cpath stroke='%23cad8f9' d='M2 0h1M0 2h1'/%3E%3Cpath stroke='%23c4d3f7' d='M3 0h1M0 3h1M0 4h1'/%3E%3Cpath stroke='%23bfd0f8' d='M4 0h2M0 5h1'/%3E%3Cpath stroke='%23bdcef7' d='M6 0h1M0 6h1'/%3E%3Cpath stroke='%23baccf4' d='M7 0h1m6 2h1m-1 5h1m-1 1h1'/%3E%3Cpath stroke='%23b8cbf6' d='M8 0h1M0 7h1M0 8h1'/%3E%3Cpath stroke='%23b7caf5' d='M9 0h2M0 9h1'/%3E%3Cpath stroke='%23b5c8f7' d='M11 0h1'/%3E%3Cpath stroke='%23b3c7f5' d='M12 0h1'/%3E%3Cpath stroke='%23afc5f4' d='M13 0h1'/%3E%3Cpath stroke='%23dce6f9' d='M14 0h1'/%3E%3Cpath stroke='%23e1eafe' d='M1 1h1'/%3E%3Cpath stroke='%23dae6fe' d='M2 1h1M1 2h1'/%3E%3Cpath stroke='%23d4e1fc' d='M3 1h1M1 3h1M1 4h1'/%3E%3Cpath stroke='%23d0ddfc' d='M6 1h1M1 5h1'/%3E%3Cpath stroke='%23cedbfd' d='M7 1h1M4 2h2'/%3E%3Cpath stroke='%23cad9fd' d='M8 1h1M6 2h1M3 5h1'/%3E%3Cpath stroke='%23c8d8fb' d='M9 1h2'/%3E%3Cpath stroke='%23c5d6fc' d='M11 1h1M2 11h4'/%3E%3Cpath stroke='%23c2d3fc' d='M12 1h1m-2 1h1M1 11h1m0 1h2m-2 1h2'/%3E%3Cpath stroke='%23bccefa' d='M13 1h1m-1 1h1m-1 1h1m-1 1h1M3 15h4'/%3E%3Cpath stroke='%23b9c9f3' d='M14 1h1M3 16h4'/%3E%3Cpath stroke='%23d8e3fc' d='M2 2h1'/%3E%3Cpath stroke='%23d1defd' d='M3 2h1'/%3E%3Cpath stroke='%23c9d8fc' d='M7 2h1M4 3h3M4 4h3M3 6h1m1 0h2M1 7h1M1 8h1'/%3E%3Cpath stroke='%23c5d5fc' d='M8 2h1m-8 8h5'/%3E%3Cpath stroke='%23c5d3fc' d='M9 2h2'/%3E%3Cpath stroke='%23bed0fc' d='M12 2h1M8 3h1M8 4h1m-8 8h1m-1 1h1m0 1h1m1 0h3'/%3E%3Cpath stroke='%23cddbfc' d='M3 3h1M3 4h1M1 6h2'/%3E%3Cpath stroke='%23c8d5fb' d='M7 3h1M7 4h1'/%3E%3Cpath stroke='%23bbcefd' d='M9 3h4M9 4h4M8 5h1M7 6h1'/%3E%3Cpath stroke='%23bcccf3' d='M14 3h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23ceddfd' d='M2 5h1'/%3E%3Cpath stroke='%23c8d6fb' d='M4 5h4M1 9h3'/%3E%3Cpath stroke='%23bacdfc' d='M9 5h2m1 0h2M1 14h1'/%3E%3Cpath stroke='%23b9cdfb' d='M11 5h1M8 6h2m2 0h2m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%234d6185' d='M4 6h1m5 0h1M3 7h3m3 0h3M4 8h3m1 0h3M5 9h5m-4 1h3m-2 1h1'/%3E%3Cpath stroke='%23b7cdfc' d='M11 6h1m0 1h1m-1 1h1'/%3E%3Cpath stroke='%23cad8fd' d='M2 7h1M2 8h2'/%3E%3Cpath stroke='%23c1d3fb' d='M6 7h2M7 8h1M4 9h1'/%3E%3Cpath stroke='%23b6cefb' d='M8 7h1m2 1h1m-2 1h3m-2 1h2'/%3E%3Cpath stroke='%23b6cdfb' d='M13 9h1m-6 6h1'/%3E%3Cpath stroke='%23b9cbf3' d='M14 9h1'/%3E%3Cpath stroke='%23b4c8f6' d='M0 10h1'/%3E%3Cpath stroke='%23bdd3fb' d='M9 10h2m-4 4h1'/%3E%3Cpath stroke='%23b5cdfa' d='M13 10h1'/%3E%3Cpath stroke='%23b5c9f3' d='M14 10h1'/%3E%3Cpath stroke='%23b1c7f6' d='M0 11h1'/%3E%3Cpath stroke='%23c3d5fd' d='M6 11h1'/%3E%3Cpath stroke='%23bad4fc' d='M8 11h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23b2cffb' d='M9 11h4m-2 3h1'/%3E%3Cpath stroke='%23b1cbfa' d='M13 11h1m-3 4h1'/%3E%3Cpath stroke='%23b3c8f5' d='M14 11h1m-7 5h3'/%3E%3Cpath stroke='%23adc3f6' d='M0 12h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23c2d5fc' d='M4 12h4m-4 1h4'/%3E%3Cpath stroke='%23b7d3fc' d='M9 12h2m-2 1h2m-3 1h1'/%3E%3Cpath stroke='%23b3d1fc' d='M11 12h1m-1 1h1'/%3E%3Cpath stroke='%23afcdfb' d='M12 12h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23afcbfa' d='M13 12h1m-1 1h1'/%3E%3Cpath stroke='%23b2c8f4' d='M14 12h1m-1 1h1m-4 3h1'/%3E%3Cpath stroke='%23c1d2fb' d='M3 14h1'/%3E%3Cpath stroke='%23b6d1fb' d='M9 14h2'/%3E%3Cpath stroke='%23adc9f9' d='M13 14h1m-2 1h1'/%3E%3Cpath stroke='%23b1c6f3' d='M14 14h1m-3 2h1'/%3E%3Cpath stroke='%23abc1f4' d='M0 15h1'/%3E%3Cpath stroke='%23b7cbf9' d='M1 15h1'/%3E%3Cpath stroke='%23b9cefb' d='M2 15h1'/%3E%3Cpath stroke='%23b9cffb' d='M7 15h1'/%3E%3Cpath stroke='%23b2cdfb' d='M9 15h2'/%3E%3Cpath stroke='%23aec8f7' d='M13 15h1'/%3E%3Cpath stroke='%23b0c5f2' d='M14 15h1m-2 1h1'/%3E%3Cpath stroke='%23dbe3f8' d='M0 16h1'/%3E%3Cpath stroke='%23b7c6f1' d='M1 16h1'/%3E%3Cpath stroke='%23b8c9f2' d='M2 16h1m4 0h1'/%3E%3Cpath stroke='%23d9e3f6' d='M14 16h1'/%3E%3C/svg%3E");
background-size: 15px;
font-size: 11px;
border: none;
background-color: #fff;
box-sizing: border-box;
height: 21px;
appearance: none;
-webkit-appearance: none;
-moz-appearance: none;
position: relative;
padding: 5px 32px 32px 5px;
background-position: top 50% right 2px;
background-repeat: no-repeat;
border-radius: 0;
border: 1px solid black;
}
body {
font-variant: oldstyle-nums;
font-family: 'IBM Plex Sans', 'Source Sans Pro', sans-serif;
background-color: #fafafa;
text-shadow: 0 0.05em 0.1em rgba(0,0,0,0.2);
scroll-behavior: smooth;
text-wrap: balance;
text-rendering: optimizeLegibility;
-webkit-font-smoothing: antialiased;
-moz-osx-font-smoothing: grayscale;
font-feature-settings: "ss02", "liga", "onum";
}
.marked_text {
background-color: yellow;
}
.time_picker_container {
font-variant: small-caps;
width: 100%;
}
.time_picker_container > input {
width: 50px;
}
#loader {
display: grid;
justify-content: center;
align-items: center;
height: 100%;
}
.no_linebreak {
line-break: auto;
}
.dark_code_bg {
background-color: #363636;
color: white;
}
.code_bg {
background-color: #C0C0C0;
}
#commands {
line-break: anywhere;
}
.color_red {
color: red;
}
.color_orange {
color: orange;
}
table > tbody > tr:nth-child(odd) {
background-color: #fafafa;
}
table > tbody > tr:nth-child(even) {
background-color: #ddd;
}
table {
border-collapse: collapse;
margin: 0 0;
min-width: 200px;
}
th {
background-color: #4eae46;
color: #ffffff;
text-align: left;
border: 0px;
}
.error_element {
background-color: #e57373;
border-radius: 10px;
padding: 4px;
display: none;
}
button {
background-color: #4eae46;
border: 1px solid #2A8387;
border-radius: 4px;
box-shadow: rgba(0, 0, 0, 0.12) 0 1px 1px;
cursor: pointer;
display: block;
line-height: 100%;
outline: 0;
padding: 11px 15px 12px;
text-align: center;
transition: box-shadow .05s ease-in-out, opacity .05s ease-in-out;
user-select: none;
-webkit-user-select: none;
touch-action: manipulation;
font-family: 'IBM Plex Sans', 'Source Sans Pro', sans-serif;
}
button:hover {
box-shadow: rgba(255, 255, 255, 0.3) 0 0 2px inset, rgba(0, 0, 0, 0.4) 0 1px 2px;
text-decoration: none;
transition-duration: .15s, .15s;
}
button:active {
box-shadow: rgba(0, 0, 0, 0.15) 0 2px 4px inset, rgba(0, 0, 0, 0.4) 0 1px 1px;
}
button:disabled {
cursor: not-allowed;
opacity: .6;
}
button:disabled:active {
pointer-events: none;
}
button:disabled:hover {
box-shadow: none;
}
.half_width_td {
vertical-align: baseline;
width: 50%;
}
#scads_bar {
width: 100%;
margin: 0;
padding: 0;
user-select: none;
user-drag: none;
-webkit-user-drag: none;
user-select: none;
-moz-user-select: none;
-webkit-user-select: none;
-ms-user-select: none;
display: -webkit-box;
}
.tab {
display: inline-block;
padding: 0px;
margin: 0px;
font-size: 16px;
font-weight: bold;
text-align: center;
border-radius: 25px;
text-decoration: none !important;
transition: background-color 0.3s, color 0.3s;
color: unset !important;
}
.tooltipster-base {
border: 1px solid black;
position: absolute;
border-radius: 8px;
padding: 2px;
color: white;
background-color: #61686f;
width: 70%;
min-width: 200px;
pointer-events: none;
}
td {
padding-top: 3px;
padding-bottom: 3px;
}
.left_side {
text-align: right;
}
.right_side {
text-align: left;
}
.spinner {
border: 8px solid rgba(0, 0, 0, 0.1);
border-left: 8px solid #3498db;
border-radius: 50%;
width: 50px;
height: 50px;
animation: spin 1s linear infinite;
}
@keyframes spin {
0% {
transform: rotate(0deg);
}
100% {
transform: rotate(360deg);
}
}
#spinner-overlay {
-webkit-text-stroke: 1px black;
white !important;
position: fixed;
top: 0;
left: 0;
width: 100%;
height: 100%;
display: flex;
justify-content: center;
align-items: center;
z-index: 9999;
}
#spinner-container {
text-align: center;
color: #fff;
display: contents;
}
#spinner-text {
font-size: 3vw;
margin-left: 10px;
}
a, a:visited, a:active, a:hover, a:link {
color: #007bff;
text-decoration: none;
}
.copy-container {
display: inline-block;
position: relative;
cursor: pointer;
margin-left: 10px;
color: blue;
}
.copy-container:hover {
text-decoration: underline;
}
.clipboard-icon {
position: absolute;
top: 5px;
right: 5px;
font-size: 1.5em;
}
#main_tab {
overflow: scroll;
width: max-content;
}
.ui-tabs .ui-tabs-nav li {
user-select: none;
}
.stacktrace_table {
background-color: black !important;
color: white !important;
}
#breadcrumb {
user-select: none;
}
#statusBar {
user-select: none;
}
.error_line {
background-color: red !important;
color: white !important;
}
.header_table {
border: 0px !important;
padding: 0px !important;
width: revert !important;
min-width: revert !important;
}
.img_auto_width {
max-width: revert !important;
}
#main_dir_or_plot_view {
display: inline-grid;
}
#refresh_button {
width: 300px;
}
._share_link {
color: black !important;
}
#footer_element {
height: 30px;
background-color: #f8f9fa;
padding: 0px;
text-align: center;
border-top: 1px solid #dee2e6;
width: 100%;
box-sizing: border-box;
position: fixed;
bottom: 0;
z-index: 2;
margin-left: -9px;
z-index: 99;
}
.switch {
position: relative;
display: inline-block;
width: 50px;
height: 26px;
}
.switch input {
opacity: 0;
width: 0;
height: 0;
}
.slider {
position: absolute;
cursor: pointer;
top: 0;
left: 0;
right: 0;
bottom: 0;
background-color: #ccc;
transition: .4s;
border-radius: 26px;
}
.slider:before {
position: absolute;
content: "";
height: 20px;
width: 20px;
left: 3px;
bottom: 3px;
background-color: white;
transition: .4s;
border-radius: 50%;
}
input:checked + .slider {
background-color: #444;
}
input:checked + .slider:before {
transform: translateX(24px);
}
.mode-text {
position: absolute;
top: 5px;
left: 65px;
font-size: 14px;
color: black;
transition: .4s;
width: 65px;
display: block;
font-size: 0.7rem;
text-align: center;
}
input:checked + .slider .mode-text {
content: "Dark Mode";
color: white;
}
#mainContent {
height: fit-content;
min-height: 100%;
}
li {
text-align: left;
}
#share_path {
margin-bottom: 20px;
margin-top: 20px;
}
#sortForm {
margin-bottom: 20px;
}
.share_folder_buttons {
margin-top: 10px;
margin-bottom: 10px;
}
.nav_tab_button {
margin: 10px;
}
.header_table {
margin: 10px;
}
.no_border {
border: unset !important;
}
.gui_table {
padding: 5px !important;
}
.gui_parameter_row {
}
.gui_parameter_row_cell {
border: unset !important;
}
.gui_param_table {
width: 95%;
margin: unset !important;
}
table td, table tr,
.parameterRow table {
padding: 2px !important;
}
.parameterRow table {
margin: 0px;
border: unset;
}
.parameterRow > td {
border: 0px !important;
}
.parameter_config_table td, .parameter_config_table tr, #config_table th, #config_table td, #hidden_config_table th, #hidden_config_table td {
border: 0px !important;
}
.green_text {
color: green;
}
.remove_parameter {
white-space: pre;
}
select {
appearance: none;
-webkit-appearance: none;
-moz-appearance: none;
background-color: #fff;
color: #222;
padding: 5px 30px 5px 5px;
border: 1px solid #555;
border-radius: 5px;
cursor: pointer;
outline: none;
transition: all 0.3s ease;
background:
url("data:image/svg+xml;charset=UTF-8,%3Csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 10 6'%3E%3Cpath fill='%23888' d='M0 0l5 6 5-6z'/%3E%3C/svg%3E")
no-repeat right 10px center,
linear-gradient(180deg, #fff, #ecebe5 86%, #d8d0c4);
background-size: 12px, auto;
}
select:hover {
border-color: #888;
}
select:focus {
border-color: #4caf50;
box-shadow: 0 0 5px rgba(76, 175, 80, 0.5);
}
select::-ms-expand {
display: none;
}
input, textarea {
border-radius: 5px;
}
#search {
width: 200px;
max-width: 70%;
background-image: url(images/search.svg);
background-repeat: no-repeat;
background-size: auto 40px;
height: 40px;
line-height: 40px;
padding-left: 40px;
box-sizing: border-box;
}
input[type="checkbox"] {
appearance: none;
-webkit-appearance: none;
-moz-appearance: none;
width: 25px;
height: 25px;
border: 2px solid #3498db;
border-radius: 5px;
background-color: #fff;
position: relative;
cursor: pointer;
transition: all 0.3s ease;
width: 25px !important;
}
input[type="checkbox"]:checked {
background-color: #3498db;
border-color: #2980b9;
}
input[type="checkbox"]:checked::before {
content: '✔';
position: absolute;
left: 4px;
top: 2px;
color: #fff;
}
input[type="checkbox"]:hover {
border-color: #2980b9;
background-color: #3caffc;
}
.toc {
margin-bottom: 20px;
}
.toc li {
margin-bottom: 5px;
}
.toc a {
text-decoration: none;
color: #007bff;
}
.toc a:hover {
text-decoration: underline;
}
.table-container {
width: 100%;
overflow-x: auto;
}
.section-header {
background-color: #1d6f9a !important;
color: white;
}
.warning {
color: red;
}
.li_list a {
text-decoration: none;
}
.gridjs-td {
white-space: nowrap;
}
th, td {
border: 1px solid gray !important;
}
.no_border {
border: 0px !important;
}
.no_break {
}
img {
user-select: none;
pointer-events: none;
}
#config_table, #hidden_config_table {
user-select: none;
}
.copy_clipboard_button {
margin-bottom: 10px;
}
.badge_table {
background-color: unset !important;
}
.make_markable {
user-select: text;
}
.header-container {
display: flex;
flex-wrap: wrap;
align-items: center;
justify-content: space-between;
gap: 1rem;
padding: 10px;
background: var(--header-bg, #fff);
border-bottom: 1px solid #ccc;
}
.header-logo-group {
display: flex;
gap: 1rem;
align-items: center;
flex: 1 1 auto;
min-width: 200px;
}
.logo-img {
max-height: 45px;
height: auto;
width: auto;
object-fit: contain;
pointer-events: unset;
}
.header-badges {
flex-direction: column;
gap: 5px;
align-items: flex-start;
flex: 0 1 auto;
margin-top: auto;
margin-bottom: auto;
}
.badge-img {
height: auto;
max-width: 130px;
margin-top: 3px;
}
.header-tabs {
margin-top: 10px;
display: flex;
flex-wrap: wrap;
gap: 10px;
flex: 2 1 100%;
justify-content: center;
}
.nav-tab {
display: inline-block;
text-decoration: none;
padding: 8px 16px;
border-radius: 20px;
background: linear-gradient(to right, #4a90e2, #357ABD);
color: white;
font-weight: bold;
white-space: nowrap;
transition: background 0.2s ease-in-out, transform 0.2s;
box-shadow: 0 2px 4px rgba(0,0,0,0.2);
}
.nav-tab:hover {
background: linear-gradient(to right, #5aa0f2, #4a90e2);
transform: translateY(-2px);
}
.current-tag {
padding-left: 10px;
font-size: 0.9rem;
color: #666;
}
.header-theme-toggle {
flex: 1 1 auto;
align-items: center;
margin-top: 20px;
min-width: 120px;
}
.switch {
position: relative;
display: inline-block;
width: 60px;
height: 30px;
}
.switch input {
display: none;
}
.slider {
position: absolute;
top: 0; left: 0; right: 0; bottom: 0;
background-color: #ccc;
border-radius: 34px;
cursor: pointer;
}
.slider::before {
content: "";
position: absolute;
height: 24px;
width: 24px;
left: 3px;
bottom: 3px;
background-color: white;
transition: .4s;
border-radius: 50%;
}
input:checked + .slider {
background-color: #2196F3;
}
input:checked + .slider::before {
transform: translateX(30px);
}
@media (max-width: 768px) {
.header-logo-group,
.header-badges,
.header-theme-toggle {
justify-content: center;
flex: 1 1 100%;
text-align: center;
width: inherit;
}
.logo-img {
max-height: 50px;
pointer-events: unset;
}
.badge-img {
max-width: 100px;
}
.hide_on_mobile {
display: none;
}
.nav-tab {
font-size: 0.9rem;
padding: 6px 12px;
}
.header_button {
white-space: pre;
font-size: 2em;
}
}
.header_button {
white-space: pre;
margin-top: 20px;
margin: 5px;
}
.line_break_anywhere {
line-break: anywhere;
}
.responsive-container {
display: flex;
flex-wrap: wrap;
justify-content: space-between;
gap: 20px;
}
.responsive-container .half {
flex: 1 1 48%;
box-sizing: border-box;
min-width: 500px;
}
.config-section table {
width: 100%;
border-collapse: collapse;
}
@media (max-width: 768px) {
.responsive-container .half {
flex: 1 1 100%;
}
}
@keyframes spin {
0% {
transform: rotate(0deg);
}
100% {
transform: rotate(360deg);
}
}
.rotate {
animation: spin 2s linear infinite;
display: inline-block;
}
input::placeholder {
font-family: 'IBM Plex Sans', 'Source Sans Pro', sans-serif;
}
.gridjs-th-content {
overflow: visible !important;
}
.error_text {
color: red;
}
h1, h2, h3, h4, h5, h6 {
margin-top: 1em;
font-weight: bold;
color: #333;
border-left: 5px solid #ccc;
padding-left: 0.5em;
}
.no_cursive {
font-style: normal;
}
.caveat {
background-color: #fff8b3;
border: 1px solid #f2d600;
padding: 1em 1em 1em 70px;
position: relative;
font-family: sans-serif;
color: #665500;
margin: 1em 0;
border-radius: 4px;
}
.caveat h1, .caveat h2, .caveat h3, .caveat h4 {
margin-top: 0;
margin-bottom: 0.5em;
font-weight: bold;
}
.caveat::before {
content: "⚠️";
font-size: 50px;
line-height: 1;
position: absolute;
left: 10px;
top: 50%;
transform: translateY(-50%);
pointer-events: none;
user-select: none;
}
.caveat.warning::before { content: "⚠️"; }
.caveat.stop::before { content: "🛑"; }
.caveat.exclamation::before { content: "❗"; }
.caveat.alarm::before { content: "🚨"; }
.caveat.tip::before { content: "💡"; }
.tutorial_icon {
display: inline-block;
font-size: 1.3em;
line-height: 1;
vertical-align: middle;
transform: translateY(-10%);
padding: 0.2em 0;
}
.highlight {
background-color: yellow;
font-weight: bold;
}
#searchResults li {
opacity: 0;
transform: translateY(8px);
animation: fadeInUp 0.3s ease-out forwards;
animation-delay: 0.05s;
list-style: none;
margin-bottom: 5px;
}
@keyframes fadeInUp {
to {
opacity: 1;
transform: translateY(0);
}
}
.search_headline {
font-weight: bold;
margin-top: 1em;
margin-bottom: 0.3em;
color: #444;
}
.search_share_path {
color: black;
display: block ruby;
margin-top: 20px;
}
@media print {
#scads_bar {
display: none !important;
}
}
/*! XP.css v0.2.6 - https: //botoxparty.github.io/XP.css/ */
body{
color: #222
}
.surface{
background: #ece9d8
}
u{
text-decoration: none;
border-bottom: .5px solid #222
}
a{
color: #00f
}
a: focus{
outline: 1px dotted #00f
}
code,code *{
font-family: monospace
}
pre{
display: block;
padding: 12px 8px;
background-color: #000;
color: silver;
font-size: 1rem;
margin: 0;
overflow: scroll;
}
summary: focus{
outline: 1px dotted #000
}
: :-webkit-scrollbar{
width: 16px
}
: :-webkit-scrollbar: horizontal{
height: 17px
}
: :-webkit-scrollbar-track{
background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg width='2' height='2' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M1 0H0v1h1v1h1V1H1V0z' fill='silver'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M2 0H1v1H0v1h1V1h1V0z' fill='%23fff'/%3E%3C/svg%3E")
}
: :-webkit-scrollbar-thumb{
background-color: #dfdfdf;
box-shadow: inset -1px -1px #0a0a0a,inset 1px 1px #fff,inset -2px -2px grey,inset 2px 2px #dfdfdf
}
: :-webkit-scrollbar-button: horizontal: end: increment,: :-webkit-scrollbar-button: horizontal: start: decrement,: :-webkit-scrollbar-button: vertical: end: increment,: :-webkit-scrollbar-button: vertical: start: decrement{
display: block
}
: :-webkit-scrollbar-button: vertical: start{
background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg width='16' height='17' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M15 0H0v16h1V1h14V0z' fill='%23DFDFDF'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M2 1H1v14h1V2h12V1H2z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M16 17H0v-1h15V0h1v17z' fill='%23000'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M15 1h-1v14H1v1h14V1z' fill='gray'/%3E%3Cpath fill='silver' d='M2 2h12v13H2z'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M8 6H7v1H6v1H5v1H4v1h7V9h-1V8H9V7H8V6z' fill='%23000'/%3E%3C/svg%3E")
}
: :-webkit-scrollbar-button: vertical: end{
background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg width='16' height='17' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M15 0H0v16h1V1h14V0z' fill='%23DFDFDF'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M2 1H1v14h1V2h12V1H2z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M16 17H0v-1h15V0h1v17z' fill='%23000'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M15 1h-1v14H1v1h14V1z' fill='gray'/%3E%3Cpath fill='silver' d='M2 2h12v13H2z'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M11 6H4v1h1v1h1v1h1v1h1V9h1V8h1V7h1V6z' fill='%23000'/%3E%3C/svg%3E")
}
: :-webkit-scrollbar-button: horizontal: start{
width: 16px;
background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg width='16' height='17' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M15 0H0v16h1V1h14V0z' fill='%23DFDFDF'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M2 1H1v14h1V2h12V1H2z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M16 17H0v-1h15V0h1v17z' fill='%23000'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M15 1h-1v14H1v1h14V1z' fill='gray'/%3E%3Cpath fill='silver' d='M2 2h12v13H2z'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M9 4H8v1H7v1H6v1H5v1h1v1h1v1h1v1h1V4z' fill='%23000'/%3E%3C/svg%3E")
}
: :-webkit-scrollbar-button: horizontal: end{
width: 16px;
background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg width='16' height='17' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M15 0H0v16h1V1h14V0z' fill='%23DFDFDF'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M2 1H1v14h1V2h12V1H2z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M16 17H0v-1h15V0h1v17z' fill='%23000'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M15 1h-1v14H1v1h14V1z' fill='gray'/%3E%3Cpath fill='silver' d='M2 2h12v13H2z'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M7 4H6v7h1v-1h1V9h1V8h1V7H9V6H8V5H7V4z' fill='%23000'/%3E%3C/svg%3E")
}
button{
border: none;
background: #ece9d8;
box-shadow: inset -1px -1px #0a0a0a,inset 1px 1px #fff,inset -2px -2px grey,inset 2px 2px #dfdfdf;
border-radius: 0;
min-width: 75px;
min-height: 23px;
padding: 0 12px
}
button: not(: disabled).active,button: not(: disabled): active{
box-shadow: inset -1px -1px #fff,inset 1px 1px #0a0a0a,inset -2px -2px #dfdfdf,inset 2px 2px grey
}
button.focused,button: focus{
outline: 1px dotted #000;
outline-offset: -4px
}
label{
display: inline-flex;
align-items: center
}
textarea{
padding: 3px 4px;
border: none;
background-color: #fff;
box-sizing: border-box;
-webkit-appearance: none;
-moz-appearance: none;
appearance: none;
border-radius: 0
}
textarea: focus{
outline: none
}
select: focus option{
color: #000;
background-color: #fff
}
.vertical-bar{
width: 4px;
height: 20px;
background: silver;
box-shadow: inset -1px -1px #0a0a0a,inset 1px 1px #fff,inset -2px -2px grey,inset 2px 2px #dfdfdf
}
&: disabled,&: disabled+label{
color: grey;
text-shadow: 1px 1px 0 #fff
}
input[type=radio]+label{
line-height: 13px;
position: relative;
margin-left: 19px
}
input[type=radio]+label: before{
content: "";
position: absolute;
top: 0;
left: -19px;
display: inline-block;
width: 13px;
height: 13px;
margin-right: 6px;
background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='12' height='12' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M8 0H4v1H2v1H1v2H0v4h1v2h1V8H1V4h1V2h2V1h4v1h2V1H8V0z' fill='gray'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M8 1H4v1H2v2H1v4h1v1h1V8H2V4h1V3h1V2h4v1h2V2H8V1z' fill='%23000'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M9 3h1v1H9V3zm1 5V4h1v4h-1zm-2 2V9h1V8h1v2H8zm-4 0v1h4v-1H4zm0 0V9H2v1h2z' fill='%23DFDFDF'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M11 2h-1v2h1v4h-1v2H8v1H4v-1H2v1h2v1h4v-1h2v-1h1V8h1V4h-1V2z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M4 2h4v1h1v1h1v4H9v1H8v1H4V9H3V8H2V4h1V3h1V2z' fill='%23fff'/%3E%3C/svg%3E")
}
input[type=radio]: active+label: before{
background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='12' height='12' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M8 0H4v1H2v1H1v2H0v4h1v2h1V8H1V4h1V2h2V1h4v1h2V1H8V0z' fill='gray'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M8 1H4v1H2v2H1v4h1v1h1V8H2V4h1V3h1V2h4v1h2V2H8V1z' fill='%23000'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M9 3h1v1H9V3zm1 5V4h1v4h-1zm-2 2V9h1V8h1v2H8zm-4 0v1h4v-1H4zm0 0V9H2v1h2z' fill='%23DFDFDF'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M11 2h-1v2h1v4h-1v2H8v1H4v-1H2v1h2v1h4v-1h2v-1h1V8h1V4h-1V2z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M4 2h4v1h1v1h1v4H9v1H8v1H4V9H3V8H2V4h1V3h1V2z' fill='silver'/%3E%3C/svg%3E")
}
input[type=radio]: checked+label: after{
content: "";
display: block;
width: 5px;
height: 5px;
top: 5px;
left: -14px;
position: absolute;
background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='4' height='4' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M3 0H1v1H0v2h1v1h2V3h1V1H3V0z' fill='%23000'/%3E%3C/svg%3E")
}
input[type=radio][disabled]+label: before{
background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='12' height='12' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M8 0H4v1H2v1H1v2H0v4h1v2h1V8H1V4h1V2h2V1h4v1h2V1H8V0z' fill='gray'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M8 1H4v1H2v2H1v4h1v1h1V8H2V4h1V3h1V2h4v1h2V2H8V1z' fill='%23000'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M9 3h1v1H9V3zm1 5V4h1v4h-1zm-2 2V9h1V8h1v2H8zm-4 0v1h4v-1H4zm0 0V9H2v1h2z' fill='%23DFDFDF'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M11 2h-1v2h1v4h-1v2H8v1H4v-1H2v1h2v1h4v-1h2v-1h1V8h1V4h-1V2z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M4 2h4v1h1v1h1v4H9v1H8v1H4V9H3V8H2V4h1V3h1V2z' fill='silver'/%3E%3C/svg%3E")
}
input[type=radio][disabled]: checked+label: after{
background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='4' height='4' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M3 0H1v1H0v2h1v1h2V3h1V1H3V0z' fill='gray'/%3E%3C/svg%3E")
}
input[type=email],input[type=password]{
padding: 3px 4px;
border: 1px solid #7f9db9;
background-color: #fff;
box-sizing: border-box;
-webkit-appearance: none;
-moz-appearance: none;
appearance: none;
border-radius: 0;
height: 21px;
line-height: 2
}
input[type=email]: focus,input[type=password]: focus{
outline: none
}
input[type=range]{
-webkit-appearance: none;
width: 100%;
background: transparent
}
input[type=range]: focus{
outline: none
}
input[type=range]: :-webkit-slider-thumb{
-webkit-appearance: none;
background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='11' height='21' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M0 0v16h2v2h2v2h1v-1H3v-2H1V1h9V0z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M1 1v15h1v1h1v1h1v1h2v-1h1v-1h1v-1h1V1z' fill='%23C0C7C8'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M9 1h1v15H8v2H6v2H5v-1h2v-2h2z' fill='%2387888F'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M10 0h1v16H9v2H7v2H5v1h1v-2h2v-2h2z' fill='%23000'/%3E%3C/svg%3E")
}
input[type=range]: :-moz-range-thumb{
background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='11' height='21' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M0 0v16h2v2h2v2h1v-1H3v-2H1V1h9V0z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M1 1v15h1v1h1v1h1v1h2v-1h1v-1h1v-1h1V1z' fill='%23C0C7C8'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M9 1h1v15H8v2H6v2H5v-1h2v-2h2z' fill='%2387888F'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M10 0h1v16H9v2H7v2H5v1h1v-2h2v-2h2z' fill='%23000'/%3E%3C/svg%3E")
}
input[type=range]: :-webkit-slider-runnable-track{
background: #000;
border-right: 1px solid grey;
border-bottom: 1px solid grey;
box-shadow: 1px 0 0 #fff,1px 1px 0 #fff,0 1px 0 #fff,-1px 0 0 #a9a9a9,-1px -1px 0 #a9a9a9,0 -1px 0 #a9a9a9,-1px 1px 0 #fff,1px -1px #a9a9a9
}
input[type=range]: :-moz-range-track{
background: #000;
border-right: 1px solid grey;
border-bottom: 1px solid grey;
box-shadow: 1px 0 0 #fff,1px 1px 0 #fff,0 1px 0 #fff,-1px 0 0 #a9a9a9,-1px -1px 0 #a9a9a9,0 -1px 0 #a9a9a9,-1px 1px 0 #fff,1px -1px #a9a9a9
}
input[type=range].has-box-indicator: :-webkit-slider-thumb{
background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='11' height='21' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M0 0v20h1V1h9V0z' fill='%23fff'/%3E%3Cpath fill='%23C0C7C8' d='M1 1h8v18H1z'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M9 1h1v19H1v-1h8z' fill='%2387888F'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M10 0h1v21H0v-1h10z' fill='%23000'/%3E%3C/svg%3E")
}
input[type=range].has-box-indicator: :-moz-range-thumb{
background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='11' height='21' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M0 0v20h1V1h9V0z' fill='%23fff'/%3E%3Cpath fill='%23C0C7C8' d='M1 1h8v18H1z'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M9 1h1v19H1v-1h8z' fill='%2387888F'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M10 0h1v21H0v-1h10z' fill='%23000'/%3E%3C/svg%3E")
}
.is-vertical{
display: inline-block;
width: 4px;
height: 150px;
transform: translateY(50%)
}
.is-vertical>input[type=range]{
width: 150px;
height: 4px;
margin: 0 16px 0 10px;
transform-origin: left;
transform: rotate(270deg) translateX(calc(-50% + 8px))
}
.is-vertical>input[type=range]: :-webkit-slider-runnable-track{
border-left: 1px solid grey;
border-bottom: 1px solid grey;
box-shadow: -1px 0 0 #fff,-1px 1px 0 #fff,0 1px 0 #fff,1px 0 0 #a9a9a9,1px -1px 0 #a9a9a9,0 -1px 0 #a9a9a9,1px 1px 0 #fff,-1px -1px #a9a9a9
}
.is-vertical>input[type=range]: :-moz-range-track{
border-left: 1px solid grey;
border-bottom: 1px solid grey;
box-shadow: -1px 0 0 #fff,-1px 1px 0 #fff,0 1px 0 #fff,1px 0 0 #a9a9a9,1px -1px 0 #a9a9a9,0 -1px 0 #a9a9a9,1px 1px 0 #fff,-1px -1px #a9a9a9
}
.is-vertical>input[type=range]: :-webkit-slider-thumb{
transform: translateY(-8px) scaleX(-1)
}
.is-vertical>input[type=range]: :-moz-range-thumb{
transform: translateY(2px) scaleX(-1)
}
.is-vertical>input[type=range].has-box-indicator: :-webkit-slider-thumb{
transform: translateY(-10px) scaleX(-1)
}
.is-vertical>input[type=range].has-box-indicator: :-moz-range-thumb{
transform: translateY(0) scaleX(-1)
}
.window{
font-size: 11px;
box-shadow: inset -1px -1px #0a0a0a,inset 1px 1px #dfdfdf,inset -2px -2px grey,inset 2px 2px #fff;
background: #ece9d8;
padding: 3px
}
.window fieldset{
margin-bottom: 9px
}
.title-bar{
background: #000;
padding: 3px 2px 3px 3px;
display: flex;
justify-content: space-between;
align-items: center
}
.title-bar-text{
font-weight: 700;
color: #fff;
letter-spacing: 0;
margin-right: 24px
}
.title-bar-controls button{
padding: 0;
display: block;
min-width: 16px;
min-height: 14px
}
.title-bar-controls button: focus{
outline: none
}
.window-body{
margin: 8px
}
.window-body pre{
margin: -8px
}
.status-bar{
margin: 0 1px;
display: flex;
gap: 1px
}
.status-bar-field{
box-shadow: inset -1px -1px #dfdfdf,inset 1px 1px grey;
flex-grow: 1;
padding: 2px 3px;
margin: 0
}
ul.tree-view{
display: block;
background: #fff;
padding: 6px;
margin: 0
}
ul.tree-view li{
list-style-type: none;
margin-top: 3px
}
ul.tree-view a{
text-decoration: none;
color: #000
}
ul.tree-view a: focus{
background-color: #2267cb;
color: #fff
}
ul.tree-view ul{
margin-top: 3px;
margin-left: 16px;
padding-left: 16px;
border-left: 1px dotted grey
}
ul.tree-view ul>li{
position: relative
}
ul.tree-view ul>li: before{
content: "";
display: block;
position: absolute;
left: -16px;
top: 6px;
width: 12px;
border-bottom: 1px dotted grey
}
ul.tree-view ul>li: last-child: after{
content: "";
display: block;
position: absolute;
left: -20px;
top: 7px;
bottom: 0;
width: 8px;
background: #fff
}
ul.tree-view ul details>summary: before{
margin-left: -22px;
position: relative;
z-index: 1
}
ul.tree-view details{
margin-top: 0
}
ul.tree-view details>summary: before{
text-align: center;
display: block;
float: left;
content: "+";
border: 1px solid grey;
width: 8px;
height: 9px;
line-height: 9px;
margin-right: 5px;
padding-left: 1px;
background-color: #fff
}
ul.tree-view details[open] summary{
margin-bottom: 0
}
ul.tree-view details[open]>summary: before{
content: "-"
}
fieldset{
border-image: url("data: image/svg+xml;charset=utf-8,%3Csvg width='5' height='5' fill='gray' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M0 0h5v5H0V2h2v1h1V2H0' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M0 0h4v4H0V1h1v2h2V1H0'/%3E%3C/svg%3E") 2;
padding: 10px;
padding-block-start: 8px;
margin: 0
}
legend{
background: #ece9d8
}
menu[role=tablist]{
position: relative;
margin: 0 0 -2px;
text-indent: 0;
list-style-type: none;
display: flex;
padding-left: 3px
}
menu[role=tablist] button{
z-index: 1;
display: block;
color: #222;
text-decoration: none;
min-width: unset
}
menu[role=tablist] button[aria-selected=true]{
padding-bottom: 2px;margin-top: -2px;background-color: #ece9d8;position: relative;z-index: 8;margin-left: -3px;margin-bottom: 1px
}
menu[role=tablist] button: focus{
outline: 1px dotted #222;outline-offset: -4px
}
menu[role=tablist].justified button{
flex-grow: 1;text-align: center
}
[role=tabpanel]{
padding: 14px;clear: both;background: linear-gradient(180deg,#fcfcfe,#f4f3ee);border: 1px solid #919b9c;position: relative;z-index: 2;margin-bottom: 9px
}
: :-webkit-scrollbar{
width: 17px
}
: :-webkit-scrollbar-corner{
background: #dfdfdf
}
: :-webkit-scrollbar-track: vertical{
background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 17 1' shape-rendering='crispEdges'%3E%3Cpath stroke='%23eeede5' d='M0 0h1m15 0h1'/%3E%3Cpath stroke='%23f3f1ec' d='M1 0h1'/%3E%3Cpath stroke='%23f4f1ec' d='M2 0h1'/%3E%3Cpath stroke='%23f4f3ee' d='M3 0h1'/%3E%3Cpath stroke='%23f5f4ef' d='M4 0h1'/%3E%3Cpath stroke='%23f6f5f0' d='M5 0h1'/%3E%3Cpath stroke='%23f7f7f3' d='M6 0h1'/%3E%3Cpath stroke='%23f9f8f4' d='M7 0h1'/%3E%3Cpath stroke='%23f9f9f7' d='M8 0h1'/%3E%3Cpath stroke='%23fbfbf8' d='M9 0h1'/%3E%3Cpath stroke='%23fbfbf9' d='M10 0h2'/%3E%3Cpath stroke='%23fdfdfa' d='M12 0h1'/%3E%3Cpath stroke='%23fefefb' d='M13 0h3'/%3E%3C/svg%3E")
}
: :-webkit-scrollbar-track: horizontal{
background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 1 17' shape-rendering='crispEdges'%3E%3Cpath stroke='%23eeede5' d='M0 0h1M0 16h1'/%3E%3Cpath stroke='%23f3f1ec' d='M0 1h1'/%3E%3Cpath stroke='%23f4f1ec' d='M0 2h1'/%3E%3Cpath stroke='%23f4f3ee' d='M0 3h1'/%3E%3Cpath stroke='%23f5f4ef' d='M0 4h1'/%3E%3Cpath stroke='%23f6f5f0' d='M0 5h1'/%3E%3Cpath stroke='%23f7f7f3' d='M0 6h1'/%3E%3Cpath stroke='%23f9f8f4' d='M0 7h1'/%3E%3Cpath stroke='%23f9f9f7' d='M0 8h1'/%3E%3Cpath stroke='%23fbfbf8' d='M0 9h1'/%3E%3Cpath stroke='%23fbfbf9' d='M0 10h1m-1 1h1'/%3E%3Cpath stroke='%23fdfdfa' d='M0 12h1'/%3E%3Cpath stroke='%23fefefb' d='M0 13h1m-1 1h1m-1 1h1'/%3E%3C/svg%3E")
}
: :-webkit-scrollbar-thumb{
background-position: 50%;
background-repeat: no-repeat;
background-color: #c8d6fb;
background-size: 7px;
border: 1px solid #fff;
border-radius: 2px;
box-shadow: inset -3px 0 #bad1fc,inset 1px 1px #b7caf5
}
: :-webkit-scrollbar-thumb: vertical{
background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 7 8' shape-rendering='crispEdges'%3E%3Cpath stroke='%23eef4fe' d='M0 0h6M0 2h6M0 4h6M0 6h6'/%3E%3Cpath stroke='%23bad1fc' d='M6 0h1M6 2h1M6 4h1'/%3E%3Cpath stroke='%23c8d6fb' d='M0 1h1M0 3h1M0 5h1M0 7h1'/%3E%3Cpath stroke='%238cb0f8' d='M1 1h6M1 3h6M1 5h6M1 7h6'/%3E%3Cpath stroke='%23bad3fc' d='M6 6h1'/%3E%3C/svg%3E")
}
: :-webkit-scrollbar-thumb: horizontal{
background-size: 8px;background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 8 7' shape-rendering='crispEdges'%3E%3Cpath stroke='%23eef4fe' d='M0 0h1m1 0h1m1 0h1m1 0h1M0 1h1m1 0h1m1 0h1m1 0h1M0 2h1m1 0h1m1 0h1m1 0h1M0 3h1m1 0h1m1 0h1m1 0h1M0 4h1m1 0h1m1 0h1m1 0h1M0 5h1m1 0h1m1 0h1m1 0h1'/%3E%3Cpath stroke='%23c8d6fb' d='M1 0h1m1 0h1m1 0h1m1 0h1'/%3E%3Cpath stroke='%238cb0f8' d='M1 1h1m1 0h1m1 0h1m1 0h1M1 2h1m1 0h1m1 0h1m1 0h1M1 3h1m1 0h1m1 0h1m1 0h1M1 4h1m1 0h1m1 0h1m1 0h1M1 5h1m1 0h1m1 0h1m1 0h1M1 6h1m1 0h1m1 0h1m1 0h1'/%3E%3Cpath stroke='%23bad1fc' d='M0 6h1m1 0h1'/%3E%3Cpath stroke='%23bad3fc' d='M4 6h1m1 0h1'/%3E%3C/svg%3E")
}
: :-webkit-scrollbar-button: vertical: start{
height: 17px;
background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 17 17' shape-rendering='crispEdges'%3E%3Cpath stroke='%23eeede5' d='M0 0h1m15 0h1M0 1h1M0 2h1M0 3h1M0 4h1M0 5h1M0 6h1M0 7h1M0 8h1M0 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m15 0h1M0 16h1m15 0h1'/%3E%3Cpath stroke='%23fdfdfa' d='M1 0h1'/%3E%3Cpath stroke='%23fff' d='M2 0h14M1 1h1m13 0h1M1 2h1m13 0h1M1 3h1m13 0h1M1 4h1m13 0h1M1 5h1m13 0h1M1 6h1m13 0h1M1 7h1m13 0h1M1 8h1m13 0h1M1 9h1m13 0h1M1 10h1m13 0h1M1 11h1m13 0h1M1 12h1m13 0h1M1 13h1m13 0h1M1 14h1m13 0h1M2 15h13'/%3E%3Cpath stroke='%23e6eefc' d='M2 1h1'/%3E%3Cpath stroke='%23d0dffc' d='M3 1h1M2 2h1'/%3E%3Cpath stroke='%23cad8f9' d='M4 1h1M2 3h1'/%3E%3Cpath stroke='%23c4d2f7' d='M5 1h1'/%3E%3Cpath stroke='%23c0d0f7' d='M6 1h1'/%3E%3Cpath stroke='%23bdcef7' d='M7 1h1M2 6h1'/%3E%3Cpath stroke='%23bbcdf5' d='M8 1h1'/%3E%3Cpath stroke='%23b8cbf6' d='M9 1h1M2 7h1'/%3E%3Cpath stroke='%23b7caf5' d='M10 1h1M2 8h1'/%3E%3Cpath stroke='%23b5c8f7' d='M11 1h1'/%3E%3Cpath stroke='%23b3c7f5' d='M12 1h1'/%3E%3Cpath stroke='%23afc5f4' d='M13 1h1'/%3E%3Cpath stroke='%23dce6f9' d='M14 1h1'/%3E%3Cpath stroke='%23dfe2e1' d='M16 1h1'/%3E%3Cpath stroke='%23e1eafe' d='M3 2h1'/%3E%3Cpath stroke='%23dae6fe' d='M4 2h1M3 3h1'/%3E%3Cpath stroke='%23d4e1fc' d='M5 2h1M3 4h1'/%3E%3Cpath stroke='%23d1e0fd' d='M6 2h1M4 4h1'/%3E%3Cpath stroke='%23d0ddfc' d='M7 2h1M3 5h1'/%3E%3Cpath stroke='%23cedbfd' d='M8 2h1M6 3h1'/%3E%3Cpath stroke='%23cad9fd' d='M9 2h1M7 3h1M5 5h1'/%3E%3Cpath stroke='%23c8d8fb' d='M10 2h1'/%3E%3Cpath stroke='%23c5d6fc' d='M11 2h1m-8 8h1m1 0h1'/%3E%3Cpath stroke='%23c2d3fc' d='M12 2h1m-2 1h1m-9 7h1m0 1h1'/%3E%3Cpath stroke='%23bccefa' d='M13 2h1m-1 2h1m-9 9h2'/%3E%3Cpath stroke='%23b9c9f3' d='M14 2h1M5 14h3'/%3E%3Cpath stroke='%23cfd7dd' d='M16 2h1'/%3E%3Cpath stroke='%23d8e3fc' d='M4 3h1'/%3E%3Cpath stroke='%23d1defd' d='M5 3h1'/%3E%3Cpath stroke='%23c9d8fc' d='M8 3h1M6 4h2M5 6h2M3 7h1'/%3E%3Cpath stroke='%23c5d5fc' d='M9 3h1M3 9h1m3 0h1'/%3E%3Cpath stroke='%23c5d3fc' d='M10 3h1'/%3E%3Cpath stroke='%23bed0fc' d='M12 3h1M9 4h1m-7 7h1m0 1h1'/%3E%3Cpath stroke='%23bccdfa' d='M13 3h1'/%3E%3Cpath stroke='%23baccf4' d='M14 3h1'/%3E%3Cpath stroke='%23bdcbda' d='M16 3h1'/%3E%3Cpath stroke='%23c4d4f7' d='M2 4h1'/%3E%3Cpath stroke='%23cddbfc' d='M5 4h1M3 6h1'/%3E%3Cpath stroke='%23c8d5fb' d='M8 4h1'/%3E%3Cpath stroke='%23bbcefd' d='M10 4h3M9 5h1'/%3E%3Cpath stroke='%23bcccf3' d='M14 4h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23b1c2d5' d='M16 4h1'/%3E%3Cpath stroke='%23bed0f8' d='M2 5h1'/%3E%3Cpath stroke='%23ceddfd' d='M4 5h1'/%3E%3Cpath stroke='%23c8d6fb' d='M6 5h2M3 8h2'/%3E%3Cpath stroke='%234d6185' d='M8 5h1M7 6h3M6 7h5M5 8h3m1 0h3M4 9h3m3 0h3m-8 1h1m5 0h1'/%3E%3Cpath stroke='%23bacdfc' d='M10 5h1m1 0h2M3 12h1'/%3E%3Cpath stroke='%23b9cdfb' d='M11 5h1m-2 1h1m1 0h2m-1 1h1'/%3E%3Cpath stroke='%23a8bbd4' d='M16 5h1'/%3E%3Cpath stroke='%23cddafc' d='M4 6h1'/%3E%3Cpath stroke='%23b7cdfc' d='M11 6h1m0 1h1'/%3E%3Cpath stroke='%23a4b8d3' d='M16 6h1'/%3E%3Cpath stroke='%23cad8fd' d='M4 7h2'/%3E%3Cpath stroke='%23b6cefb' d='M11 7h1m0 1h1'/%3E%3Cpath stroke='%23bacbf4' d='M14 7h1'/%3E%3Cpath stroke='%23a0b5d3' d='M16 7h1m-1 1h1m-1 5h1'/%3E%3Cpath stroke='%23c1d3fb' d='M8 8h1'/%3E%3Cpath stroke='%23b6cdfb' d='M13 8h1m-5 5h1'/%3E%3Cpath stroke='%23b9cbf3' d='M14 8h1'/%3E%3Cpath stroke='%23b4c8f6' d='M2 9h1'/%3E%3Cpath stroke='%23c2d5fc' d='M8 9h1m-1 1h1m-3 1h2'/%3E%3Cpath stroke='%23bdd3fb' d='M9 9h1m-2 3h1'/%3E%3Cpath stroke='%23b5cdfa' d='M13 9h1'/%3E%3Cpath stroke='%23b5c9f3' d='M14 9h1'/%3E%3Cpath stroke='%239fb5d2' d='M16 9h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23b1c7f6' d='M2 10h1'/%3E%3Cpath stroke='%23c3d5fd' d='M7 10h1'/%3E%3Cpath stroke='%23bad4fc' d='M9 10h1m-1 1h1'/%3E%3Cpath stroke='%23b2cffb' d='M10 10h1m1 0h1m-2 2h1'/%3E%3Cpath stroke='%23b1cbfa' d='M13 10h1'/%3E%3Cpath stroke='%23b3c8f5' d='M14 10h1m-6 4h2'/%3E%3Cpath stroke='%23adc3f6' d='M2 11h1'/%3E%3Cpath stroke='%23c3d3fd' d='M5 11h1'/%3E%3Cpath stroke='%23c1d5fb' d='M8 11h1'/%3E%3Cpath stroke='%23b7d3fc' d='M10 11h1m-2 1h1'/%3E%3Cpath stroke='%23b3d1fc' d='M11 11h1'/%3E%3Cpath stroke='%23afcefb' d='M12 11h1'/%3E%3Cpath stroke='%23aecafa' d='M13 11h1'/%3E%3Cpath stroke='%23b1c8f3' d='M14 11h1'/%3E%3Cpath stroke='%23acc2f5' d='M2 12h1'/%3E%3Cpath stroke='%23c1d2fb' d='M5 12h1'/%3E%3Cpath stroke='%23bed1fc' d='M6 12h2'/%3E%3Cpath stroke='%23b6d1fb' d='M10 12h1'/%3E%3Cpath stroke='%23afccfb' d='M12 12h1'/%3E%3Cpath stroke='%23adc9f9' d='M13 12h1m-2 1h1'/%3E%3Cpath stroke='%23b1c5f3' d='M14 12h1'/%3E%3Cpath stroke='%23aac0f3' d='M2 13h1'/%3E%3Cpath stroke='%23b7cbf9' d='M3 13h1'/%3E%3Cpath stroke='%23b9cefb' d='M4 13h1'/%3E%3Cpath stroke='%23bbcef9' d='M7 13h1'/%3E%3Cpath stroke='%23b9cffb' d='M8 13h1'/%3E%3Cpath stroke='%23b2cdfb' d='M10 13h1'/%3E%3Cpath stroke='%23b0cbf9' d='M11 13h1'/%3E%3Cpath stroke='%23aec8f7' d='M13 13h1'/%3E%3Cpath stroke='%23b0c5f2' d='M14 13h1'/%3E%3Cpath stroke='%23dbe3f8' d='M2 14h1'/%3E%3Cpath stroke='%23b7c6f1' d='M3 14h1'/%3E%3Cpath stroke='%23b8c9f2' d='M4 14h1m3 0h1'/%3E%3Cpath stroke='%23b2c8f4' d='M11 14h1'/%3E%3Cpath stroke='%23b1c6f3' d='M12 14h1'/%3E%3Cpath stroke='%23b0c4f2' d='M13 14h1'/%3E%3Cpath stroke='%23d9e3f6' d='M14 14h1'/%3E%3Cpath stroke='%23aec0d6' d='M16 14h1'/%3E%3Cpath stroke='%23c3d4e7' d='M1 15h1'/%3E%3Cpath stroke='%23aec4e5' d='M15 15h1'/%3E%3Cpath stroke='%23edf1f3' d='M1 16h1'/%3E%3Cpath stroke='%23aac0e1' d='M2 16h1'/%3E%3Cpath stroke='%2394b1d9' d='M3 16h1'/%3E%3Cpath stroke='%2388a7d8' d='M4 16h1'/%3E%3Cpath stroke='%2383a4d3' d='M5 16h1'/%3E%3Cpath stroke='%237da0d4' d='M6 16h1m3 0h3'/%3E%3Cpath stroke='%237e9fd2' d='M7 16h1'/%3E%3Cpath stroke='%237c9fd3' d='M8 16h2'/%3E%3Cpath stroke='%2382a4d6' d='M13 16h1'/%3E%3Cpath stroke='%2394b0dd' d='M14 16h1'/%3E%3Cpath stroke='%23ecf2f7' d='M15 16h1'/%3E%3C/svg%3E")
}
: :-webkit-scrollbar-button: vertical: end{
height: 17px;
background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 17 17' shape-rendering='crispEdges'%3E%3Cpath stroke='%23eeede5' d='M0 0h1m15 0h1M0 1h1M0 2h1M0 3h1M0 4h1M0 5h1M0 6h1M0 7h1M0 8h1M0 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m15 0h1M0 16h1m15 0h1'/%3E%3Cpath stroke='%23fdfdfa' d='M1 0h1'/%3E%3Cpath stroke='%23fff' d='M2 0h14M1 1h1m13 0h1M1 2h1m13 0h1M1 3h1m13 0h1M1 4h1m13 0h1M1 5h1m13 0h1M1 6h1m13 0h1M1 7h1m13 0h1M1 8h1m13 0h1M1 9h1m13 0h1M1 10h1m13 0h1M1 11h1m13 0h1M1 12h1m13 0h1M1 13h1m13 0h1M1 14h1m13 0h1M2 15h13'/%3E%3Cpath stroke='%23e6eefc' d='M2 1h1'/%3E%3Cpath stroke='%23d0dffc' d='M3 1h1M2 2h1'/%3E%3Cpath stroke='%23cad8f9' d='M4 1h1M2 3h1'/%3E%3Cpath stroke='%23c4d2f7' d='M5 1h1'/%3E%3Cpath stroke='%23c0d0f7' d='M6 1h1'/%3E%3Cpath stroke='%23bdcef7' d='M7 1h1M2 6h1'/%3E%3Cpath stroke='%23bbcdf5' d='M8 1h1'/%3E%3Cpath stroke='%23b8cbf6' d='M9 1h1M2 7h1'/%3E%3Cpath stroke='%23b7caf5' d='M10 1h1M2 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}
.window{
box-shadow: inset -1px -1px #00138c,inset 1px 1px #0831d9,inset -2px -2px #001ea0,inset 2px 2px #166aee,inset -3px -3px #003bda,inset 3px 3px #0855dd;
border-top-left-radius: 8px;
border-top-right-radius: 8px;
padding: 0 0 3px;
-webkit-font-smoothing: antialiased
}
.title-bar{
background: linear-gradient(180deg,#0997ff,#0053ee 8%,#0050ee 40%,#06f 88%,#06f 93%,#005bff 95%,#003dd7 96%,#003dd7);
padding: 3px 5px 3px 3px;
border-top: 1px solid #0831d9;
border-left: 1px solid #0831d9;
border-right: 1px solid #001ea0;
border-top-left-radius: 8px;
border-top-right-radius: 7px;
font-size: 13px;
text-shadow: 1px 1px #0f1089;
height: 21px
}
.title-bar-text{
padding-left: 3px
}
.title-bar-controls{
display: flex
}
.title-bar-controls button{
min-width: 21px;
min-height: 21px;
margin-left: 2px;
background-repeat: no-repeat;
background-position: 50%;
box-shadow: none;
background-color: #0050ee;
transition: background .1s;
border: none
}
.title-bar-controls button: active,.title-bar-controls button: focus,.title-bar-controls button: hover{
box-shadow: none!important
}
.title-bar-controls button[aria-label=Minimize]{
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}
.title-bar-controls button[aria-label=Maximize]: not(: disabled): active{
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}
.title-bar-controls button[aria-label=Restore]{
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}
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}
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stroke='%23b5381a' d='M9 4h1M4 9h1'/%3E%3Cpath stroke='%23b8391a' d='M10 4h1m-7 6h1'/%3E%3Cpath stroke='%23ba3a1b' d='M11 4h1m-8 7h2'/%3E%3Cpath stroke='%23bc3b1c' d='M12 4h1m-9 8h1'/%3E%3Cpath stroke='%23bd3c1c' d='M13 4h1m-1 1h1m-2 1h1m-7 6h1m-3 1h2'/%3E%3Cpath stroke='%23be3d1c' d='M14 4h3m-1 1h1m-1 1h1M4 14h1m-1 1h1m-1 1h2'/%3E%3Cpath stroke='%23bf3d1c' d='M17 4h3m-3 1h3m-2 1h2m-1 1h1M4 17h2m-2 1h4m-4 1h4'/%3E%3Cpath stroke='%235b1d0d' d='M1 5h1'/%3E%3Cpath stroke='%239c3016' d='M3 5h1'/%3E%3Cpath stroke='%23a43217' d='M4 5h1'/%3E%3Cpath stroke='%23b8553e' d='M5 5h1'/%3E%3Cpath stroke='%23d59485' d='M6 5h1M5 6h1'/%3E%3Cpath stroke='%23b33619' d='M7 5h1'/%3E%3Cpath stroke='%23b53719' d='M8 5h1'/%3E%3Cpath stroke='%23b8381a' d='M9 5h1M6 8h1'/%3E%3Cpath stroke='%23b9391b' d='M10 5h1'/%3E%3Cpath stroke='%23ba391b' d='M11 5h1M6 9h1m-2 1h1'/%3E%3Cpath stroke='%23bc3b1b' d='M12 5h1m-2 1h1m-6 5h1m-2 1h1'/%3E%3Cpath stroke='%23dc9887' d='M14 5h1'/%3E%3Cpath stroke='%23c85d42' d='M15 5h1M5 15h1'/%3E%3Cpath stroke='%23611f0e' d='M1 6h1'/%3E%3Cpath stroke='%23a23217' d='M3 6h1'/%3E%3Cpath stroke='%23d79585' d='M6 6h1'/%3E%3Cpath stroke='%23d89585' d='M7 6h1'/%3E%3Cpath stroke='%23b8371a' d='M8 6h1'/%3E%3Cpath stroke='%23ba391a' d='M9 6h1'/%3E%3Cpath stroke='%23bb3a1b' d='M10 6h1m-5 4h1'/%3E%3Cpath stroke='%23dd9887' d='M13 6h3m-4 1h1m-2 1h1M9 9h1m-2 2h1m-2 1h1m-2 1h1m-2 1h2'/%3E%3Cpath stroke='%23c03e1d' d='M17 6h1m-2 1h3m0 1h1m-1 1h1M7 16h1m-2 1h2m0 1h1'/%3E%3Cpath stroke='%2365200e' d='M1 7h1'/%3E%3Cpath stroke='%23902d15' d='M2 7h1'/%3E%3Cpath stroke='%23a73418' d='M3 7h1'/%3E%3Cpath stroke='%23af3518' d='M4 7h1'/%3E%3Cpath stroke='%23b43619' d='M5 7h1'/%3E%3Cpath stroke='%23d99585' d='M6 7h1'/%3E%3Cpath stroke='%23da9686' d='M7 7h1'/%3E%3Cpath stroke='%23db9686' d='M8 7h1M7 8h1'/%3E%3Cpath stroke='%23bc3a1b' d='M9 7h1M7 9h1'/%3E%3Cpath stroke='%23bd3b1b' d='M10 7h1m-4 3h1'/%3E%3Cpath stroke='%23be3c1c' d='M11 7h1m-2 1h1m-3 2h1m-2 1h1'/%3E%3Cpath stroke='%23de9987' d='M13 7h2m-3 1h2m-4 1h2m-3 1h1m-2 2h1m-2 2h1'/%3E%3Cpath stroke='%23c03f1d' d='M15 7h1m-9 8h1'/%3E%3Cpath stroke='%236a220f' d='M1 8h1'/%3E%3Cpath stroke='%23952f15' d='M2 8h1'/%3E%3Cpath stroke='%23ac3518' d='M3 8h1'/%3E%3Cpath stroke='%23b63719' d='M5 8h1'/%3E%3Cpath stroke='%23dc9786' d='M8 8h2M8 9h1'/%3E%3Cpath stroke='%23c2401d' d='M14 8h1m2 0h1m1 3h1M8 14h1m-1 2h1m-1 1h1m0 1h1m1 1h1'/%3E%3Cpath stroke='%23c2401e' d='M15 8h2m1 1h1M8 15h1'/%3E%3Cpath stroke='%23c13f1d' d='M18 8h1m0 2h1M9 19h2'/%3E%3Cpath stroke='%23702410' d='M1 9h1'/%3E%3Cpath stroke='%239b3016' d='M2 9h1'/%3E%3Cpath stroke='%23b03619' d='M3 9h1'/%3E%3Cpath stroke='%23b9381a' d='M5 9h1'/%3E%3Cpath stroke='%23df9a88' d='M12 9h1m-2 1h1m-2 1h1m-2 1h1'/%3E%3Cpath stroke='%23c4421e' d='M13 9h1m2 0h2m0 1h1M9 13h1m9 1h1m-1 1h1M9 16h1m9 0h1M9 17h1m0 1h1m3 1h3'/%3E%3Cpath stroke='%23c5431e' d='M14 9h1'/%3E%3Cpath stroke='%23c5431f' d='M15 9h1m-4 1h1m5 1h1m-9 1h1m-2 2h1m-1 1h1m0 2h1m0 1h1m6 0h1'/%3E%3Cpath stroke='%239e3217' d='M2 10h1'/%3E%3Cpath stroke='%23b4381a' d='M3 10h1'/%3E%3Cpath stroke='%23df9a87' d='M10 10h1m-2 1h1m-2 2h1'/%3E%3Cpath stroke='%23c6441f' d='M13 10h1m3 0h1m-8 3h1m-1 3h1'/%3E%3Cpath stroke='%23c74520' d='M14 10h2m-6 4h1m-1 1h1m7 2h1m-7 1h1m4 0h1'/%3E%3Cpath stroke='%23c7451f' d='M16 10h1m1 2h1'/%3E%3Cpath stroke='%237b2711' d='M1 11h1'/%3E%3Cpath stroke='%23a13217' d='M2 11h1'/%3E%3Cpath stroke='%23b7391a' d='M3 11h1'/%3E%3Cpath stroke='%23e09b88' d='M11 11h1'/%3E%3Cpath stroke='%23e29d89' d='M12 11h1'/%3E%3Cpath stroke='%23c94621' d='M13 11h1m-3 2h1'/%3E%3Cpath stroke='%23ca4721' d='M14 11h1m2 1h1m-7 2h1m-1 1h1m0 2h1m2 1h1'/%3E%3Cpath stroke='%23ca4821' d='M15 11h1m1 6h1'/%3E%3Cpath stroke='%23c94620' d='M16 11h1m1 3h1m-8 2h1m6 0h1'/%3E%3Cpath stroke='%23c84620' d='M17 11h1m0 2h1'/%3E%3Cpath stroke='%23a53418' d='M2 12h1'/%3E%3Cpath stroke='%23b83a1b' d='M3 12h1'/%3E%3Cpath stroke='%23e19d89' d='M11 12h1'/%3E%3Cpath stroke='%23e39e89' d='M12 12h1'/%3E%3Cpath stroke='%23e0947c' d='M13 12h1'/%3E%3Cpath stroke='%23cc4a22' d='M14 12h1m-3 2h1m4 0h1m-6 1h1'/%3E%3Cpath stroke='%23cd4a22' d='M15 12h1m0 1h1m0 2h1m-5 1h1m1 1h1'/%3E%3Cpath stroke='%23cb4922' d='M16 12h1m0 1h1m-5 4h1'/%3E%3Cpath stroke='%23c3411e' d='M19 12h1m-1 1h1m-1 4h1m-8 2h2m3 0h1'/%3E%3Cpath stroke='%23a93618' d='M2 13h1'/%3E%3Cpath stroke='%23dd9987' d='M7 13h1m-2 2h1'/%3E%3Cpath stroke='%23e39f8a' d='M12 13h1'/%3E%3Cpath stroke='%23e59f8b' d='M13 13h1'/%3E%3Cpath stroke='%23e5a08b' d='M14 13h1m-2 1h1'/%3E%3Cpath stroke='%23ce4c23' d='M15 13h1m0 3h1'/%3E%3Cpath stroke='%23882b13' d='M1 14h1'/%3E%3Cpath stroke='%23e6a08b' d='M14 14h1'/%3E%3Cpath stroke='%23e6a18b' d='M15 14h1m-2 1h1'/%3E%3Cpath stroke='%23ce4b23' d='M16 14h1m-4 1h1'/%3E%3Cpath stroke='%238b2c14' d='M1 15h1m-1 1h1'/%3E%3Cpath stroke='%23ac3619' d='M2 15h1'/%3E%3Cpath stroke='%23d76b48' d='M15 15h1'/%3E%3Cpath stroke='%23cf4c23' d='M16 15h1m-2 1h1'/%3E%3Cpath stroke='%23c94721' d='M18 15h1m-3 3h1'/%3E%3Cpath stroke='%23bb3c1b' d='M3 16h1'/%3E%3Cpath stroke='%23bf3e1d' d='M6 16h1'/%3E%3Cpath stroke='%23cb4821' d='M12 16h1'/%3E%3Cpath stroke='%23cd4b23' d='M14 16h1'/%3E%3Cpath stroke='%23cc4922' d='M17 16h1m-4 1h1m1 0h1'/%3E%3Cpath stroke='%238d2d14' d='M1 17h1'/%3E%3Cpath stroke='%23bc3c1b' d='M3 17h1m-1 1h1'/%3E%3Cpath stroke='%23c84520' d='M11 17h1m1 1h1'/%3E%3Cpath stroke='%23ae3719' d='M2 18h1'/%3E%3Cpath stroke='%23c94720' d='M14 18h1'/%3E%3Cpath stroke='%23c95839' d='M19 18h1'/%3E%3Cpath stroke='%23a7bdf0' d='M0 19h1m0 1h1'/%3E%3Cpath stroke='%23ead7d3' d='M1 19h1'/%3E%3Cpath stroke='%23b34e35' d='M2 19h1'/%3E%3Cpath stroke='%23c03e1c' d='M8 19h1'/%3E%3Cpath stroke='%23c9583a' d='M18 19h1'/%3E%3Cpath stroke='%23f3dbd4' d='M19 19h1'/%3E%3Cpath stroke='%23a7bcef' d='M20 19h1m-2 1h1'/%3E%3C/svg%3E")
}
.status-bar{
margin: 0 3px;
box-shadow: inset 0 1px 2px grey;
padding: 2px 1px;
gap: 0
}
.status-bar-field{
-webkit-font-smoothing: antialiased;
box-shadow: none;
padding: 1px 2px;
border-right: 1px solid rgba(208,206,191,.75);
border-left: 1px solid hsla(0,0%,100%,.75)
}
.status-bar-field: first-of-type{
border-left: none
}
.status-bar-field: last-of-type{
border-right: none
}
button{
-webkit-font-smoothing: antialiased;
box-sizing: border-box;
border: 1px solid #003c74;
background: linear-gradient(180deg,#fff,#ecebe5 86%,#d8d0c4);
box-shadow: none;
border-radius: 3px
}
button: not(: disabled).active,button: not(: disabled): active{
box-shadow: none;
background: linear-gradient(180deg,#cdcac3,#e3e3db 8%,#e5e5de 94%,#f2f2f1)
}
button: not(: disabled): hover{
box-shadow: inset -1px 1px #fff0cf,inset 1px 2px #fdd889,inset -2px 2px #fbc761,inset 2px -2px #e5a01a
}
button.focused,button: focus{
box-shadow: inset -1px 1px #cee7ff,inset 1px 2px #98b8ea,inset -2px 2px #bcd4f6,inset 1px -1px #89ade4,inset 2px -2px #89ade4
}
button: :-moz-focus-inner{
border: 0
}
input,label,option,select,textarea{
-webkit-font-smoothing: antialiased
}
input[type=radio]{
appearance: none;
-webkit-appearance: none;
-moz-appearance: none;
margin: 0;
background: 0;
position: fixed;
opacity: 0;
border: none
}
input[type=radio]+label{
line-height: 16px
}
input[type=radio]+label: before{
background: linear-gradient(135deg,#dcdcd7,#fff);
border-radius: 50%;
border: 1px solid #1d5281
}
input[type=radio]: not([disabled]): not(: active)+label: hover: before{
box-shadow: inset -2px -2px #f8b636,inset 2px 2px #fedf9c
}
input[type=radio]: active+label: before{
background: linear-gradient(135deg,#b0b0a7,#e3e1d2)
}
input[type=radio]: checked+label: after{
background: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 5 5' shape-rendering='crispEdges'%3E%3Cpath stroke='%23a9dca6' d='M1 0h1M0 1h1'/%3E%3Cpath stroke='%234dbf4a' d='M2 0h1M0 2h1'/%3E%3Cpath stroke='%23a0d29e' d='M3 0h1M0 3h1'/%3E%3Cpath stroke='%2355d551' d='M1 1h1'/%3E%3Cpath stroke='%2343c33f' d='M2 1h1'/%3E%3Cpath stroke='%2329a826' d='M3 1h1'/%3E%3Cpath stroke='%239acc98' d='M4 1h1M1 4h1'/%3E%3Cpath stroke='%2342c33f' d='M1 2h1'/%3E%3Cpath stroke='%2338b935' d='M2 2h1'/%3E%3Cpath stroke='%2321a121' d='M3 2h1'/%3E%3Cpath stroke='%23269623' d='M4 2h1'/%3E%3Cpath stroke='%232aa827' d='M1 3h1'/%3E%3Cpath stroke='%2322a220' d='M2 3h1'/%3E%3Cpath stroke='%23139210' d='M3 3h1'/%3E%3Cpath stroke='%2398c897' d='M4 3h1'/%3E%3Cpath stroke='%23249624' d='M2 4h1'/%3E%3Cpath stroke='%2398c997' d='M3 4h1'/%3E%3C/svg%3E")
}
input[type=radio]: focus+label{
outline: 1px dotted #000
}
input[type=radio][disabled]+label: before{
border: 1px solid #cac8bb;
background: #fff
}
input[type=radio][disabled]: checked+label: after{
background: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 5 5' shape-rendering='crispEdges'%3E%3Cpath stroke='%23e8e6da' d='M1 0h1M0 1h1'/%3E%3Cpath stroke='%23d2ceb5' d='M2 0h1M0 2h1'/%3E%3Cpath stroke='%23e5e3d4' d='M3 0h1M0 3h1'/%3E%3Cpath stroke='%23d7d3bd' d='M1 1h1'/%3E%3Cpath stroke='%23d0ccb2' d='M2 1h1M1 2h1'/%3E%3Cpath stroke='%23c7c2a2' d='M3 1h1M1 3h1'/%3E%3Cpath stroke='%23e2dfd0' d='M4 1h1M1 4h1'/%3E%3Cpath stroke='%23cdc8ac' d='M2 2h1'/%3E%3Cpath stroke='%23c5bf9f' d='M3 2h1M2 3h1'/%3E%3Cpath stroke='%23c3bd9c' d='M4 2h1'/%3E%3Cpath stroke='%23bfb995' d='M3 3h1'/%3E%3Cpath stroke='%23e2dfcf' d='M4 3h1M3 4h1'/%3E%3Cpath stroke='%23c4be9d' d='M2 4h1'/%3E%3C/svg%3E")
}
input[type=email],input[type=password],textarea: :selection{
background: #2267cb;
color: #fff
}
input[type=range]: :-webkit-slider-thumb{
height: 21px;
width: 11px;
background: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 11 21' shape-rendering='crispEdges'%3E%3Cpath stroke='%23becbd3' d='M1 0h1M0 1h1'/%3E%3Cpath stroke='%23b6c5cd' d='M2 0h1M0 2h1'/%3E%3Cpath stroke='%23b5c4cd' d='M3 0h5M0 3h1M0 4h1M0 5h1M0 6h1M0 7h1M0 8h1M0 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23afbfc8' d='M8 0h1M0 14h1'/%3E%3Cpath stroke='%239fb2be' d='M9 0h1M0 15h1'/%3E%3Cpath stroke='%23a6d1b1' d='M1 1h1'/%3E%3Cpath stroke='%236fd16e' d='M2 1h1M1 2h1'/%3E%3Cpath stroke='%2367ce65' d='M3 1h1M1 3h1'/%3E%3Cpath stroke='%2366ce64' d='M4 1h3'/%3E%3Cpath stroke='%2362cd61' d='M7 1h1'/%3E%3Cpath stroke='%2345c343' d='M8 1h1M7 2h1'/%3E%3Cpath stroke='%2363ac76' d='M9 1h1M2 16h1m0 1h1m0 1h1'/%3E%3Cpath stroke='%23879aa6' d='M10 1h1'/%3E%3Cpath stroke='%2363cd62' d='M2 2h1'/%3E%3Cpath stroke='%2349c547' d='M3 2h1M2 3h1'/%3E%3Cpath stroke='%2347c446' d='M4 2h3'/%3E%3Cpath stroke='%2321b71f' d='M8 2h1'/%3E%3Cpath stroke='%231da41c' d='M9 2h1'/%3E%3Cpath stroke='%237d8e99' d='M10 2h1'/%3E%3Cpath stroke='%2325b923' d='M3 3h1'/%3E%3Cpath stroke='%2321b81f' d='M4 3h4M2 15h1'/%3E%3Cpath stroke='%231ea71c' d='M8 3h1'/%3E%3Cpath stroke='%231b9619' d='M9 3h1'/%3E%3Cpath stroke='%23778892' d='M10 3h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f7f7f4' d='M1 4h1M1 5h1M1 6h1M1 7h1M1 8h1M1 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f5f5f2' d='M2 4h1M2 5h1M2 6h1M2 7h1M2 8h1M2 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f3f3ef' d='M3 4h5M3 5h5M3 6h5M3 7h5M3 8h5M3 9h5m-5 1h5m-5 1h5m-5 1h5m-5 1h4m-4 1h3m-2 1h1'/%3E%3Cpath stroke='%23dcdcd9' d='M8 4h1M8 5h1M8 6h1M8 7h1M8 8h1M8 9h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23c3c3c0' d='M9 4h1M9 5h1M9 6h1M9 7h1M9 8h1M9 9h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f1f1ed' d='M7 13h1m-2 1h1m-2 1h1'/%3E%3Cpath stroke='%23dbdbd8' d='M8 13h1'/%3E%3Cpath stroke='%23c4c4c1' d='M9 13h1'/%3E%3Cpath stroke='%234bc549' d='M1 14h1'/%3E%3Cpath stroke='%23f4f4f1' d='M2 14h1'/%3E%3Cpath stroke='%23e6e6e2' d='M7 14h1m-2 1h1'/%3E%3Cpath stroke='%23cececa' d='M8 14h1'/%3E%3Cpath stroke='%231a9319' d='M9 14h1'/%3E%3Cpath stroke='%23788993' d='M10 14h1'/%3E%3Cpath stroke='%2369b17b' d='M1 15h1'/%3E%3Cpath stroke='%23f2f2ee' d='M3 15h1m0 1h1'/%3E%3Cpath stroke='%23d0d0cc' d='M7 15h1m-2 1h1'/%3E%3Cpath stroke='%231a9118' d='M8 15h1m-2 1h1m-2 1h1'/%3E%3Cpath stroke='%234c845a' d='M9 15h1'/%3E%3Cpath stroke='%2372838d' d='M10 15h1'/%3E%3Cpath stroke='%2391a6b2' d='M1 16h1m0 1h1m0 1h1m0 1h1'/%3E%3Cpath stroke='%2321b61f' d='M3 16h1m0 1h1'/%3E%3Cpath stroke='%23e7e7e3' d='M5 16h1'/%3E%3Cpath stroke='%234b8259' d='M8 16h1m-2 1h1m-2 1h1'/%3E%3Cpath stroke='%236e7e88' d='M9 16h1m-2 1h1m-2 1h1m-2 1h1'/%3E%3Cpath stroke='%23d7d7d4' d='M5 17h1'/%3E%3Cpath stroke='%231da21b' d='M5 18h1'/%3E%3Cpath stroke='%23589868' d='M5 19h1'/%3E%3Cpath stroke='%2380929e' d='M5 20h1'/%3E%3C/svg%3E");
transform: translateY(-8px)
}
input[type=range]: :-moz-range-thumb{
height: 21px;
width: 11px;
border: 0;
border-radius: 0;
background: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 11 21' shape-rendering='crispEdges'%3E%3Cpath stroke='%23becbd3' d='M1 0h1M0 1h1'/%3E%3Cpath stroke='%23b6c5cd' d='M2 0h1M0 2h1'/%3E%3Cpath stroke='%23b5c4cd' d='M3 0h5M0 3h1M0 4h1M0 5h1M0 6h1M0 7h1M0 8h1M0 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23afbfc8' d='M8 0h1M0 14h1'/%3E%3Cpath stroke='%239fb2be' d='M9 0h1M0 15h1'/%3E%3Cpath stroke='%23a6d1b1' d='M1 1h1'/%3E%3Cpath stroke='%236fd16e' d='M2 1h1M1 2h1'/%3E%3Cpath stroke='%2367ce65' d='M3 1h1M1 3h1'/%3E%3Cpath stroke='%2366ce64' d='M4 1h3'/%3E%3Cpath stroke='%2362cd61' d='M7 1h1'/%3E%3Cpath stroke='%2345c343' d='M8 1h1M7 2h1'/%3E%3Cpath stroke='%2363ac76' d='M9 1h1M2 16h1m0 1h1m0 1h1'/%3E%3Cpath stroke='%23879aa6' d='M10 1h1'/%3E%3Cpath stroke='%2363cd62' d='M2 2h1'/%3E%3Cpath stroke='%2349c547' d='M3 2h1M2 3h1'/%3E%3Cpath stroke='%2347c446' d='M4 2h3'/%3E%3Cpath stroke='%2321b71f' d='M8 2h1'/%3E%3Cpath stroke='%231da41c' d='M9 2h1'/%3E%3Cpath stroke='%237d8e99' d='M10 2h1'/%3E%3Cpath stroke='%2325b923' d='M3 3h1'/%3E%3Cpath stroke='%2321b81f' d='M4 3h4M2 15h1'/%3E%3Cpath stroke='%231ea71c' d='M8 3h1'/%3E%3Cpath stroke='%231b9619' d='M9 3h1'/%3E%3Cpath stroke='%23778892' d='M10 3h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f7f7f4' d='M1 4h1M1 5h1M1 6h1M1 7h1M1 8h1M1 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f5f5f2' d='M2 4h1M2 5h1M2 6h1M2 7h1M2 8h1M2 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f3f3ef' d='M3 4h5M3 5h5M3 6h5M3 7h5M3 8h5M3 9h5m-5 1h5m-5 1h5m-5 1h5m-5 1h4m-4 1h3m-2 1h1'/%3E%3Cpath stroke='%23dcdcd9' d='M8 4h1M8 5h1M8 6h1M8 7h1M8 8h1M8 9h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23c3c3c0' d='M9 4h1M9 5h1M9 6h1M9 7h1M9 8h1M9 9h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f1f1ed' d='M7 13h1m-2 1h1m-2 1h1'/%3E%3Cpath stroke='%23dbdbd8' d='M8 13h1'/%3E%3Cpath stroke='%23c4c4c1' d='M9 13h1'/%3E%3Cpath stroke='%234bc549' d='M1 14h1'/%3E%3Cpath stroke='%23f4f4f1' d='M2 14h1'/%3E%3Cpath stroke='%23e6e6e2' d='M7 14h1m-2 1h1'/%3E%3Cpath stroke='%23cececa' d='M8 14h1'/%3E%3Cpath stroke='%231a9319' d='M9 14h1'/%3E%3Cpath stroke='%23788993' d='M10 14h1'/%3E%3Cpath stroke='%2369b17b' d='M1 15h1'/%3E%3Cpath stroke='%23f2f2ee' d='M3 15h1m0 1h1'/%3E%3Cpath stroke='%23d0d0cc' d='M7 15h1m-2 1h1'/%3E%3Cpath stroke='%231a9118' d='M8 15h1m-2 1h1m-2 1h1'/%3E%3Cpath stroke='%234c845a' d='M9 15h1'/%3E%3Cpath stroke='%2372838d' d='M10 15h1'/%3E%3Cpath stroke='%2391a6b2' d='M1 16h1m0 1h1m0 1h1m0 1h1'/%3E%3Cpath stroke='%2321b61f' d='M3 16h1m0 1h1'/%3E%3Cpath stroke='%23e7e7e3' d='M5 16h1'/%3E%3Cpath stroke='%234b8259' d='M8 16h1m-2 1h1m-2 1h1'/%3E%3Cpath stroke='%236e7e88' d='M9 16h1m-2 1h1m-2 1h1m-2 1h1'/%3E%3Cpath stroke='%23d7d7d4' d='M5 17h1'/%3E%3Cpath stroke='%231da21b' d='M5 18h1'/%3E%3Cpath stroke='%23589868' d='M5 19h1'/%3E%3Cpath stroke='%2380929e' d='M5 20h1'/%3E%3C/svg%3E");
transform: translateY(2px)
}
input[type=range]: :-webkit-slider-runnable-track{
width: 100%;
height: 2px;
box-sizing: border-box;
background: #ecebe4;
border-right: 1px solid #f3f2ea;
border-bottom: 1px solid #f3f2ea;
border-radius: 2px;
box-shadow: 1px 0 0 #fff,1px 1px 0 #fff,0 1px 0 #fff,-1px 0 0 #9d9c99,-1px -1px 0 #9d9c99,0 -1px 0 #9d9c99,-1px 1px 0 #fff,1px -1px #9d9c99
}
input[type=range]: :-moz-range-track{
width: 100%;
height: 2px;
box-sizing: border-box;
background: #ecebe4;
border-right: 1px solid #f3f2ea;
border-bottom: 1px solid #f3f2ea;
border-radius: 2px;
box-shadow: 1px 0 0 #fff,1px 1px 0 #fff,0 1px 0 #fff,-1px 0 0 #9d9c99,-1px -1px 0 #9d9c99,0 -1px 0 #9d9c99,-1px 1px 0 #fff,1px -1px #9d9c99
}
input[type=range].has-box-indicator: :-webkit-slider-thumb{
background: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 11 22' shape-rendering='crispEdges'%3E%3Cpath stroke='%23f2f1e7' d='M0 0h1m9 0h1M0 21h1m9 0h1'/%3E%3Cpath stroke='%23879aa6' d='M1 0h1m8 20h1'/%3E%3Cpath stroke='%237d8e99' d='M2 0h1m7 19h1'/%3E%3Cpath stroke='%23778892' d='M3 0h5m2 3h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23788993' d='M8 0h1m1 2h1'/%3E%3Cpath stroke='%2372838d' d='M9 0h1m0 1h1'/%3E%3Cpath stroke='%239fb2be' d='M0 1h1m8 20h1'/%3E%3Cpath stroke='%2363af76' d='M1 1h1m7 19h1'/%3E%3Cpath stroke='%231eab1c' d='M2 1h1m6 18h1'/%3E%3Cpath stroke='%231c9d1a' d='M3 1h1'/%3E%3Cpath stroke='%231b9a1a' d='M4 1h3m1 0h1m0 1h1'/%3E%3Cpath stroke='%231b9b1a' d='M7 1h1'/%3E%3Cpath stroke='%234d875b' d='M9 1h1'/%3E%3Cpath stroke='%23afbfc8' d='M0 2h1m7 19h1'/%3E%3Cpath stroke='%2346ca44' d='M1 2h1m5 17h1m0 1h1'/%3E%3Cpath stroke='%2322be20' d='M2 2h1m5 17h1'/%3E%3Cpath stroke='%231faf1d' d='M3 2h1'/%3E%3Cpath stroke='%231fae1d' d='M4 2h3'/%3E%3Cpath stroke='%231fad1d' d='M7 2h1'/%3E%3Cpath stroke='%231da11b' d='M8 2h1'/%3E%3Cpath stroke='%23b5c4cd' d='M0 3h1M0 4h1M0 5h1M0 6h1M0 7h1M0 8h1M0 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m2 3h5'/%3E%3Cpath stroke='%23f7f7f4' d='M1 3h1M1 4h1M1 5h1M1 6h1M1 7h1M1 8h1M1 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f5f5f2' d='M2 3h1M2 4h1M2 5h1M2 6h1M2 7h1M2 8h1M2 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f3f3ef' d='M3 3h4M3 4h5M3 5h5M3 6h5M3 7h5M3 8h5M3 9h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5'/%3E%3Cpath stroke='%23f1f1ed' d='M7 3h1'/%3E%3Cpath stroke='%23dbdbd8' d='M8 3h1'/%3E%3Cpath stroke='%23c4c4c1' d='M9 3h1'/%3E%3Cpath stroke='%23ddddd9' d='M8 4h1M8 18h1'/%3E%3Cpath stroke='%23c6c6c3' d='M9 4h1M9 18h1'/%3E%3Cpath stroke='%23dcdcd9' d='M8 5h1M8 6h1M8 7h1M8 8h1M8 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23c3c3c0' d='M9 5h1M9 6h1M9 7h1M9 8h1M9 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23b6c5cd' d='M0 19h1m1 2h1'/%3E%3Cpath stroke='%2370d66f' d='M1 19h1m0 1h1'/%3E%3Cpath stroke='%2364d362' d='M2 19h1'/%3E%3Cpath stroke='%234acb48' d='M3 19h1'/%3E%3Cpath stroke='%2348cb46' d='M4 19h3'/%3E%3Cpath stroke='%23becbd3' d='M0 20h1m0 1h1'/%3E%3Cpath stroke='%23a6d2b1' d='M1 20h1'/%3E%3Cpath stroke='%2367d466' d='M3 20h1'/%3E%3Cpath stroke='%2366d465' d='M4 20h3'/%3E%3Cpath stroke='%2363d362' d='M7 20h1'/%3E%3C/svg%3E");transform: translateY(-10px)
}
input[type=range].has-box-indicator: :-moz-range-thumb{
background: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 11 22' shape-rendering='crispEdges'%3E%3Cpath stroke='%23f2f1e7' d='M0 0h1m9 0h1M0 21h1m9 0h1'/%3E%3Cpath stroke='%23879aa6' d='M1 0h1m8 20h1'/%3E%3Cpath stroke='%237d8e99' d='M2 0h1m7 19h1'/%3E%3Cpath stroke='%23778892' d='M3 0h5m2 3h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23788993' d='M8 0h1m1 2h1'/%3E%3Cpath stroke='%2372838d' d='M9 0h1m0 1h1'/%3E%3Cpath stroke='%239fb2be' d='M0 1h1m8 20h1'/%3E%3Cpath stroke='%2363af76' d='M1 1h1m7 19h1'/%3E%3Cpath stroke='%231eab1c' d='M2 1h1m6 18h1'/%3E%3Cpath stroke='%231c9d1a' d='M3 1h1'/%3E%3Cpath stroke='%231b9a1a' d='M4 1h3m1 0h1m0 1h1'/%3E%3Cpath stroke='%231b9b1a' d='M7 1h1'/%3E%3Cpath stroke='%234d875b' d='M9 1h1'/%3E%3Cpath stroke='%23afbfc8' d='M0 2h1m7 19h1'/%3E%3Cpath stroke='%2346ca44' d='M1 2h1m5 17h1m0 1h1'/%3E%3Cpath stroke='%2322be20' d='M2 2h1m5 17h1'/%3E%3Cpath stroke='%231faf1d' d='M3 2h1'/%3E%3Cpath stroke='%231fae1d' d='M4 2h3'/%3E%3Cpath stroke='%231fad1d' d='M7 2h1'/%3E%3Cpath stroke='%231da11b' d='M8 2h1'/%3E%3Cpath stroke='%23b5c4cd' d='M0 3h1M0 4h1M0 5h1M0 6h1M0 7h1M0 8h1M0 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m2 3h5'/%3E%3Cpath stroke='%23f7f7f4' d='M1 3h1M1 4h1M1 5h1M1 6h1M1 7h1M1 8h1M1 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f5f5f2' d='M2 3h1M2 4h1M2 5h1M2 6h1M2 7h1M2 8h1M2 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f3f3ef' d='M3 3h4M3 4h5M3 5h5M3 6h5M3 7h5M3 8h5M3 9h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5'/%3E%3Cpath stroke='%23f1f1ed' d='M7 3h1'/%3E%3Cpath stroke='%23dbdbd8' d='M8 3h1'/%3E%3Cpath stroke='%23c4c4c1' d='M9 3h1'/%3E%3Cpath stroke='%23ddddd9' d='M8 4h1M8 18h1'/%3E%3Cpath stroke='%23c6c6c3' d='M9 4h1M9 18h1'/%3E%3Cpath stroke='%23dcdcd9' d='M8 5h1M8 6h1M8 7h1M8 8h1M8 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23c3c3c0' d='M9 5h1M9 6h1M9 7h1M9 8h1M9 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23b6c5cd' d='M0 19h1m1 2h1'/%3E%3Cpath stroke='%2370d66f' d='M1 19h1m0 1h1'/%3E%3Cpath stroke='%2364d362' d='M2 19h1'/%3E%3Cpath stroke='%234acb48' d='M3 19h1'/%3E%3Cpath stroke='%2348cb46' d='M4 19h3'/%3E%3Cpath stroke='%23becbd3' d='M0 20h1m0 1h1'/%3E%3Cpath stroke='%23a6d2b1' d='M1 20h1'/%3E%3Cpath stroke='%2367d466' d='M3 20h1'/%3E%3Cpath stroke='%2366d465' d='M4 20h3'/%3E%3Cpath stroke='%2363d362' d='M7 20h1'/%3E%3C/svg%3E");transform: translateY(0)
}
.is-vertical>input[type=range]: :-webkit-slider-runnable-track{
border-left: 1px solid #f3f2ea;
border-right: 0;
border-bottom: 1px solid #f3f2ea;
box-shadow: -1px 0 0 #fff,-1px 1px 0 #fff,0 1px 0 #fff,1px 0 0 #9d9c99,1px -1px 0 #9d9c99,0 -1px 0 #9d9c99,1px 1px 0 #fff,-1px -1px #9d9c99
}
.is-vertical>input[type=range]: :-moz-range-track{
border-left: 1px solid #f3f2ea;
border-right: 0;
border-bottom: 1px solid #f3f2ea;
box-shadow: -1px 0 0 #fff,-1px 1px 0 #fff,0 1px 0 #fff,1px 0 0 #9d9c99,1px -1px 0 #9d9c99,0 -1px 0 #9d9c99,1px 1px 0 #fff,-1px -1px #9d9c99
}
fieldset{
box-shadow: none;
background: #fff;
border: 1px solid #d0d0bf;
border-radius: 4px;
padding-top: 10px
}
legend{
background: transparent;
color: #0046d5
}
.field-row{
display: flex;
align-items: center
}
.field-row>*+*{
margin-left: 6px
}
[class^=field-row]+[class^=field-row]{
margin-top: 6px
}
.field-row-stacked{
display: flex;
flex-direction: column
}
.field-row-stacked *+*{
margin-top: 6px
}
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];
var tab_main_worker_cpu_ram_headers_json = [
"timestamp",
"ram_usage_mb",
"cpu_usage_percent"
];
"use strict";
function add_default_layout_data (layout, no_height = 0) {
layout["width"] = get_graph_width();
if (!no_height) {
layout["height"] = get_graph_height();
}
layout["paper_bgcolor"] = 'rgba(0,0,0,0)';
layout["plot_bgcolor"] = 'rgba(0,0,0,0)';
return layout;
}
function get_marker_size() {
return 12;
}
function get_text_color() {
return theme == "dark" ? "white" : "black";
}
function get_font_size() {
return 14;
}
function get_graph_height() {
return 800;
}
function get_font_data() {
return {
size: get_font_size(),
color: get_text_color()
}
}
function get_axis_title_data(name, axis_type = "") {
if(axis_type) {
return {
text: name,
type: axis_type,
font: get_font_data()
};
}
return {
text: name,
font: get_font_data()
};
}
function get_graph_width() {
var width = document.body.clientWidth || window.innerWidth || document.documentElement.clientWidth;
return Math.max(800, Math.floor(width * 0.9));
}
function createTable(data, headers, table_name) {
if (!$("#" + table_name).length) {
console.error("#" + table_name + " not found");
return;
}
new gridjs.Grid({
columns: headers,
data: data,
search: true,
sort: true,
ellipsis: false
}).render(document.getElementById(table_name));
if (typeof apply_theme_based_on_system_preferences === 'function') {
apply_theme_based_on_system_preferences();
}
colorize_table_entries();
add_colorize_to_gridjs_table();
}
function download_as_file(id, filename) {
var text = $("#" + id).text();
var blob = new Blob([text], {
type: "text/plain"
});
var link = document.createElement("a");
link.href = URL.createObjectURL(blob);
link.download = filename;
document.body.appendChild(link);
link.click();
document.body.removeChild(link);
}
function copy_to_clipboard_from_id (id) {
var text = $("#" + id).text();
copy_to_clipboard(text);
}
function copy_to_clipboard(text) {
if (!navigator.clipboard) {
let textarea = document.createElement("textarea");
textarea.value = text;
document.body.appendChild(textarea);
textarea.select();
try {
document.execCommand("copy");
} catch (err) {
console.error("Copy failed:", err);
}
document.body.removeChild(textarea);
return;
}
navigator.clipboard.writeText(text).then(() => {
console.log("Text copied to clipboard");
}).catch(err => {
console.error("Failed to copy text:", err);
});
}
function filterNonEmptyRows(data) {
var new_data = [];
for (var row_idx = 0; row_idx < data.length; row_idx++) {
var line = data[row_idx];
var line_has_empty_data = false;
for (var col_idx = 0; col_idx < line.length; col_idx++) {
var col_header_name = tab_results_headers_json[col_idx];
var single_data_point = line[col_idx];
if(single_data_point === "" && !special_col_names.includes(col_header_name)) {
line_has_empty_data = true;
continue;
}
}
if(!line_has_empty_data) {
new_data.push(line);
}
}
return new_data;
}
function make_text_in_parallel_plot_nicer() {
$(".parcoords g > g > text").each(function() {
if (theme == "dark") {
$(this)
.css("text-shadow", "unset")
.css("font-size", "0.9em")
.css("fill", "white")
.css("stroke", "black")
.css("stroke-width", "2px")
.css("paint-order", "stroke fill");
} else {
$(this)
.css("text-shadow", "unset")
.css("font-size", "0.9em")
.css("fill", "black")
.css("stroke", "unset")
.css("stroke-width", "unset")
.css("paint-order", "stroke fill");
}
});
}
function createParallelPlot(dataArray, headers, resultNames, ignoreColumns = []) {
if ($("#parallel-plot").data("loaded") == "true") {
return;
}
dataArray = filterNonEmptyRows(dataArray);
const ignoreSet = new Set(ignoreColumns);
const numericalCols = [];
const categoricalCols = [];
const categoryMappings = {};
headers.forEach((header, colIndex) => {
if (ignoreSet.has(header)) return;
const values = dataArray.map(row => row[colIndex]);
if (values.every(val => !isNaN(parseFloat(val)))) {
numericalCols.push({ name: header, index: colIndex });
} else {
categoricalCols.push({ name: header, index: colIndex });
const uniqueValues = [...new Set(values)];
categoryMappings[header] = Object.fromEntries(uniqueValues.map((val, i) => [val, i]));
}
});
const dimensions = [];
numericalCols.forEach(col => {
dimensions.push({
label: col.name,
values: dataArray.map(row => parseFloat(row[col.index])),
range: [
Math.min(...dataArray.map(row => parseFloat(row[col.index]))),
Math.max(...dataArray.map(row => parseFloat(row[col.index])))
]
});
});
categoricalCols.forEach(col => {
dimensions.push({
label: col.name,
values: dataArray.map(row => categoryMappings[col.name][row[col.index]]),
tickvals: Object.values(categoryMappings[col.name]),
ticktext: Object.keys(categoryMappings[col.name])
});
});
let colorScale = null;
let colorValues = null;
if (resultNames.length > 1) {
let selectBox = '<select id="result-select" style="margin-bottom: 10px;">';
selectBox += '<option value="none">No color</option>';
var k = 0;
resultNames.forEach(resultName => {
var minMax = result_min_max[k];
if(minMax === undefined) {
minMax = "min [automatically chosen]"
}
selectBox += `<option value="${resultName}">${resultName} (${minMax})</option>`;
k = k + 1;
});
selectBox += '</select>';
$("#parallel-plot").before(selectBox);
$("#result-select").change(function() {
const selectedResult = $(this).val();
if (selectedResult === "none") {
colorValues = null;
colorScale = null;
} else {
const resultCol = numericalCols.find(col => col.name.toLowerCase() === selectedResult.toLowerCase());
colorValues = dataArray.map(row => parseFloat(row[resultCol.index]));
let minResult = Math.min(...colorValues);
let maxResult = Math.max(...colorValues);
var _result_min_max_idx = result_names.indexOf(selectedResult);
let invertColor = false;
if (result_min_max.length > _result_min_max_idx) {
invertColor = result_min_max[_result_min_max_idx] === "max";
}
colorScale = invertColor
? [[0, 'red'], [1, 'green']]
: [[0, 'green'], [1, 'red']];
}
updatePlot();
});
} else {
let invertColor = false;
if (Object.keys(result_min_max).length == 1) {
invertColor = result_min_max[0] === "max";
}
colorScale = invertColor
? [[0, 'red'], [1, 'green']]
: [[0, 'green'], [1, 'red']];
const resultCol = numericalCols.find(col => col.name.toLowerCase() === resultNames[0].toLowerCase());
colorValues = dataArray.map(row => parseFloat(row[resultCol.index]));
}
function updatePlot() {
const trace = {
type: 'parcoords',
dimensions: dimensions,
line: colorValues ? { color: colorValues, colorscale: colorScale } : {},
unselected: {
line: {
color: get_text_color(),
opacity: 0
}
},
};
dimensions.forEach(dim => {
if (!dim.line) {
dim.line = {};
}
if (!dim.line.color) {
dim.line.color = 'rgba(169,169,169, 0.01)';
}
});
Plotly.newPlot('parallel-plot', [trace], add_default_layout_data({}));
make_text_in_parallel_plot_nicer();
}
updatePlot();
$("#parallel-plot").data("loaded", "true");
make_text_in_parallel_plot_nicer();
}
function plotWorkerUsage() {
if($("#workerUsagePlot").data("loaded") == "true") {
return;
}
var data = tab_worker_usage_csv_json;
if (!Array.isArray(data) || data.length === 0) {
console.error("Invalid or empty data provided.");
return;
}
let timestamps = [];
let desiredWorkers = [];
let realWorkers = [];
for (let i = 0; i < data.length; i++) {
let entry = data[i];
if (!Array.isArray(entry) || entry.length < 3) {
console.warn("Skipping invalid entry:", entry);
continue;
}
let unixTime = parseFloat(entry[0]);
let desired = parseInt(entry[1], 10);
let real = parseInt(entry[2], 10);
if (isNaN(unixTime) || isNaN(desired) || isNaN(real)) {
console.warn("Skipping invalid numerical values:", entry);
continue;
}
timestamps.push(new Date(unixTime * 1000).toISOString());
desiredWorkers.push(desired);
realWorkers.push(real);
}
let trace1 = {
x: timestamps,
y: desiredWorkers,
mode: 'lines+markers',
name: 'Desired Workers',
line: {
color: 'blue'
}
};
let trace2 = {
x: timestamps,
y: realWorkers,
mode: 'lines+markers',
name: 'Real Workers',
line: {
color: 'red'
}
};
let layout = {
title: "Worker Usage Over Time",
xaxis: {
title: get_axis_title_data("Time", "date")
},
yaxis: {
title: get_axis_title_data("Number of Workers")
},
legend: {
x: 0,
y: 1
}
};
Plotly.newPlot('workerUsagePlot', [trace1, trace2], add_default_layout_data(layout));
$("#workerUsagePlot").data("loaded", "true");
}
function plotCPUAndRAMUsage() {
if($("#mainWorkerCPURAM").data("loaded") == "true") {
return;
}
var timestamps = tab_main_worker_cpu_ram_csv_json.map(row => new Date(row[0] * 1000));
var ramUsage = tab_main_worker_cpu_ram_csv_json.map(row => row[1]);
var cpuUsage = tab_main_worker_cpu_ram_csv_json.map(row => row[2]);
var trace1 = {
x: timestamps,
y: cpuUsage,
mode: 'lines+markers',
marker: {
size: get_marker_size(),
},
name: 'CPU Usage (%)',
type: 'scatter',
yaxis: 'y1'
};
var trace2 = {
x: timestamps,
y: ramUsage,
mode: 'lines+markers',
marker: {
size: get_marker_size(),
},
name: 'RAM Usage (MB)',
type: 'scatter',
yaxis: 'y2'
};
var layout = {
title: 'CPU and RAM Usage Over Time',
xaxis: {
title: get_axis_title_data("Timestamp", "date"),
tickmode: 'array',
tickvals: timestamps.filter((_, index) => index % Math.max(Math.floor(timestamps.length / 10), 1) === 0),
ticktext: timestamps.filter((_, index) => index % Math.max(Math.floor(timestamps.length / 10), 1) === 0).map(t => t.toLocaleString()),
tickangle: -45
},
yaxis: {
title: get_axis_title_data("CPU Usage (%)"),
rangemode: 'tozero'
},
yaxis2: {
title: get_axis_title_data("RAM Usage (MB)"),
overlaying: 'y',
side: 'right',
rangemode: 'tozero'
},
legend: {
x: 0.1,
y: 0.9
}
};
var data = [trace1, trace2];
Plotly.newPlot('mainWorkerCPURAM', data, add_default_layout_data(layout));
$("#mainWorkerCPURAM").data("loaded", "true");
}
function plotScatter2d() {
if ($("#plotScatter2d").data("loaded") == "true") {
return;
}
var plotDiv = document.getElementById("plotScatter2d");
var minInput = document.getElementById("minValue");
var maxInput = document.getElementById("maxValue");
if (!minInput || !maxInput) {
minInput = document.createElement("input");
minInput.id = "minValue";
minInput.type = "number";
minInput.placeholder = "Min Value";
minInput.step = "any";
maxInput = document.createElement("input");
maxInput.id = "maxValue";
maxInput.type = "number";
maxInput.placeholder = "Max Value";
maxInput.step = "any";
var inputContainer = document.createElement("div");
inputContainer.style.marginBottom = "10px";
inputContainer.appendChild(minInput);
inputContainer.appendChild(maxInput);
plotDiv.appendChild(inputContainer);
}
var resultSelect = document.getElementById("resultSelect");
if (result_names.length > 1 && !resultSelect) {
resultSelect = document.createElement("select");
resultSelect.id = "resultSelect";
resultSelect.style.marginBottom = "10px";
var sortedResults = [...result_names].sort();
sortedResults.forEach(result => {
var option = document.createElement("option");
option.value = result;
option.textContent = result;
resultSelect.appendChild(option);
});
var selectContainer = document.createElement("div");
selectContainer.style.marginBottom = "10px";
selectContainer.appendChild(resultSelect);
plotDiv.appendChild(selectContainer);
}
minInput.addEventListener("input", updatePlots);
maxInput.addEventListener("input", updatePlots);
if (resultSelect) {
resultSelect.addEventListener("change", updatePlots);
}
updatePlots();
async function updatePlots() {
var minValue = parseFloat(minInput.value);
var maxValue = parseFloat(maxInput.value);
if (isNaN(minValue)) minValue = -Infinity;
if (isNaN(maxValue)) maxValue = Infinity;
while (plotDiv.children.length > 2) {
plotDiv.removeChild(plotDiv.lastChild);
}
var selectedResult = resultSelect ? resultSelect.value : result_names[0];
var resultIndex = tab_results_headers_json.findIndex(header =>
header.toLowerCase() === selectedResult.toLowerCase()
);
var resultValues = tab_results_csv_json.map(row => row[resultIndex]);
var minResult = Math.min(...resultValues.filter(value => value !== null && value !== ""));
var maxResult = Math.max(...resultValues.filter(value => value !== null && value !== ""));
if (minValue !== -Infinity) minResult = Math.max(minResult, minValue);
if (maxValue !== Infinity) maxResult = Math.min(maxResult, maxValue);
var invertColor = result_min_max[result_names.indexOf(selectedResult)] === "max";
var numericColumns = tab_results_headers_json.filter(col =>
!special_col_names.includes(col) && !result_names.includes(col) &&
!col.startsWith("OO_Info") &&
tab_results_csv_json.every(row => !isNaN(parseFloat(row[tab_results_headers_json.indexOf(col)])))
);
if (numericColumns.length < 2) {
console.error("Not enough columns for Scatter-Plots");
return;
}
for (let i = 0; i < numericColumns.length; i++) {
for (let j = i + 1; j < numericColumns.length; j++) {
let xCol = numericColumns[i];
let yCol = numericColumns[j];
let xIndex = tab_results_headers_json.indexOf(xCol);
let yIndex = tab_results_headers_json.indexOf(yCol);
let data = tab_results_csv_json.map(row => ({
x: parseFloat(row[xIndex]),
y: parseFloat(row[yIndex]),
result: row[resultIndex] !== "" ? parseFloat(row[resultIndex]) : null
}));
data = data.filter(d => d.result >= minResult && d.result <= maxResult);
let layoutTitle = `${xCol} (x) vs ${yCol} (y), result: ${selectedResult}`;
let layout = {
title: layoutTitle,
xaxis: {
title: get_axis_title_data(xCol)
},
yaxis: {
title: get_axis_title_data(yCol)
},
showlegend: false
};
let subDiv = document.createElement("div");
let spinnerContainer = document.createElement("div");
spinnerContainer.style.display = "flex";
spinnerContainer.style.alignItems = "center";
spinnerContainer.style.justifyContent = "center";
spinnerContainer.style.width = layout.width + "px";
spinnerContainer.style.height = layout.height + "px";
spinnerContainer.style.position = "relative";
let spinner = document.createElement("div");
spinner.className = "spinner";
spinner.style.width = "40px";
spinner.style.height = "40px";
let loadingText = document.createElement("span");
loadingText.innerText = `Loading ${layoutTitle}`;
loadingText.style.marginLeft = "10px";
spinnerContainer.appendChild(spinner);
spinnerContainer.appendChild(loadingText);
plotDiv.appendChild(spinnerContainer);
await new Promise(resolve => setTimeout(resolve, 50));
let colors = data.map(d => {
if (d.result === null) {
return 'rgb(0, 0, 0)';
} else {
let norm = (d.result - minResult) / (maxResult - minResult);
if (invertColor) {
norm = 1 - norm;
}
return `rgb(${Math.round(255 * norm)}, ${Math.round(255 * (1 - norm))}, 0)`;
}
});
let trace = {
x: data.map(d => d.x),
y: data.map(d => d.y),
mode: 'markers',
marker: {
size: get_marker_size(),
color: data.map(d => d.result !== null ? d.result : null),
colorscale: invertColor ? [
[0, 'red'],
[1, 'green']
] : [
[0, 'green'],
[1, 'red']
],
colorbar: {
title: 'Result',
tickvals: [minResult, maxResult],
ticktext: [`${minResult}`, `${maxResult}`]
},
symbol: data.map(d => d.result === null ? 'x' : 'circle'),
},
text: data.map(d => d.result !== null ? `Result: ${d.result}` : 'No result'),
type: 'scatter',
showlegend: false
};
try {
plotDiv.replaceChild(subDiv, spinnerContainer);
} catch (err) {
//
}
Plotly.newPlot(subDiv, [trace], add_default_layout_data(layout));
}
}
}
$("#plotScatter2d").data("loaded", "true");
}
function plotScatter3d() {
if ($("#plotScatter3d").data("loaded") == "true") {
return;
}
var plotDiv = document.getElementById("plotScatter3d");
if (!plotDiv) {
console.error("Div element with id 'plotScatter3d' not found");
return;
}
plotDiv.innerHTML = "";
var minInput3d = document.getElementById("minValue3d");
var maxInput3d = document.getElementById("maxValue3d");
if (!minInput3d || !maxInput3d) {
minInput3d = document.createElement("input");
minInput3d.id = "minValue3d";
minInput3d.type = "number";
minInput3d.placeholder = "Min Value";
minInput3d.step = "any";
maxInput3d = document.createElement("input");
maxInput3d.id = "maxValue3d";
maxInput3d.type = "number";
maxInput3d.placeholder = "Max Value";
maxInput3d.step = "any";
var inputContainer3d = document.createElement("div");
inputContainer3d.style.marginBottom = "10px";
inputContainer3d.appendChild(minInput3d);
inputContainer3d.appendChild(maxInput3d);
plotDiv.appendChild(inputContainer3d);
}
var select3d = document.getElementById("select3dScatter");
if (result_names.length > 1 && !select3d) {
if (!select3d) {
select3d = document.createElement("select");
select3d.id = "select3dScatter";
select3d.style.marginBottom = "10px";
select3d.innerHTML = result_names.map(name => `<option value="${name}">${name}</option>`).join("");
select3d.addEventListener("change", updatePlots3d);
plotDiv.appendChild(select3d);
}
}
minInput3d.addEventListener("input", updatePlots3d);
maxInput3d.addEventListener("input", updatePlots3d);
updatePlots3d();
async function updatePlots3d() {
var selectedResult = select3d ? select3d.value : result_names[0];
var minValue3d = parseFloat(minInput3d.value);
var maxValue3d = parseFloat(maxInput3d.value);
if (isNaN(minValue3d)) minValue3d = -Infinity;
if (isNaN(maxValue3d)) maxValue3d = Infinity;
while (plotDiv.children.length > 2) {
plotDiv.removeChild(plotDiv.lastChild);
}
var resultIndex = tab_results_headers_json.findIndex(header =>
header.toLowerCase() === selectedResult.toLowerCase()
);
var resultValues = tab_results_csv_json.map(row => row[resultIndex]);
var minResult = Math.min(...resultValues.filter(value => value !== null && value !== ""));
var maxResult = Math.max(...resultValues.filter(value => value !== null && value !== ""));
if (minValue3d !== -Infinity) minResult = Math.max(minResult, minValue3d);
if (maxValue3d !== Infinity) maxResult = Math.min(maxResult, maxValue3d);
var invertColor = result_min_max[result_names.indexOf(selectedResult)] === "max";
var numericColumns = tab_results_headers_json.filter(col =>
!special_col_names.includes(col) && !result_names.includes(col) &&
!col.startsWith("OO_Info") &&
tab_results_csv_json.every(row => !isNaN(parseFloat(row[tab_results_headers_json.indexOf(col)])))
);
if (numericColumns.length < 3) {
console.error("Not enough columns for 3D scatter plots");
return;
}
for (let i = 0; i < numericColumns.length; i++) {
for (let j = i + 1; j < numericColumns.length; j++) {
for (let k = j + 1; k < numericColumns.length; k++) {
let xCol = numericColumns[i];
let yCol = numericColumns[j];
let zCol = numericColumns[k];
let xIndex = tab_results_headers_json.indexOf(xCol);
let yIndex = tab_results_headers_json.indexOf(yCol);
let zIndex = tab_results_headers_json.indexOf(zCol);
let data = tab_results_csv_json.map(row => ({
x: parseFloat(row[xIndex]),
y: parseFloat(row[yIndex]),
z: parseFloat(row[zIndex]),
result: row[resultIndex] !== "" ? parseFloat(row[resultIndex]) : null
}));
data = data.filter(d => d.result >= minResult && d.result <= maxResult);
let layoutTitle = `${xCol} (x) vs ${yCol} (y) vs ${zCol} (z), result: ${selectedResult}`;
let layout = {
title: layoutTitle,
scene: {
xaxis: {
title: get_axis_title_data(xCol)
},
yaxis: {
title: get_axis_title_data(yCol)
},
zaxis: {
title: get_axis_title_data(zCol)
}
},
showlegend: false
};
let spinnerContainer = document.createElement("div");
spinnerContainer.style.display = "flex";
spinnerContainer.style.alignItems = "center";
spinnerContainer.style.justifyContent = "center";
spinnerContainer.style.width = layout.width + "px";
spinnerContainer.style.height = layout.height + "px";
spinnerContainer.style.position = "relative";
let spinner = document.createElement("div");
spinner.className = "spinner";
spinner.style.width = "40px";
spinner.style.height = "40px";
let loadingText = document.createElement("span");
loadingText.innerText = `Loading ${layoutTitle}`;
loadingText.style.marginLeft = "10px";
spinnerContainer.appendChild(spinner);
spinnerContainer.appendChild(loadingText);
plotDiv.appendChild(spinnerContainer);
await new Promise(resolve => setTimeout(resolve, 50));
let colors = data.map(d => {
if (d.result === null) {
return 'rgb(0, 0, 0)';
} else {
let norm = (d.result - minResult) / (maxResult - minResult);
if (invertColor) {
norm = 1 - norm;
}
return `rgb(${Math.round(255 * norm)}, ${Math.round(255 * (1 - norm))}, 0)`;
}
});
let trace = {
x: data.map(d => d.x),
y: data.map(d => d.y),
z: data.map(d => d.z),
mode: 'markers',
marker: {
size: get_marker_size(),
color: data.map(d => d.result !== null ? d.result : null),
colorscale: invertColor ? [
[0, 'red'],
[1, 'green']
] : [
[0, 'green'],
[1, 'red']
],
colorbar: {
title: 'Result',
tickvals: [minResult, maxResult],
ticktext: [`${minResult}`, `${maxResult}`]
},
},
text: data.map(d => d.result !== null ? `Result: ${d.result}` : 'No result'),
type: 'scatter3d',
showlegend: false
};
let subDiv = document.createElement("div");
try {
plotDiv.replaceChild(subDiv, spinnerContainer);
} catch (err) {
//
}
Plotly.newPlot(subDiv, [trace], add_default_layout_data(layout));
}
}
}
}
$("#plotScatter3d").data("loaded", "true");
}
async function plot_worker_cpu_ram() {
if($("#worker_cpu_ram_pre").data("loaded") == "true") {
return;
}
const logData = $("#worker_cpu_ram_pre").text();
const regex = /^Unix-Timestamp: (\d+), Hostname: ([\w-]+), CPU: ([\d.]+)%, RAM: ([\d.]+) MB \/ ([\d.]+) MB$/;
const hostData = {};
logData.split("\n").forEach(line => {
line = line.trim();
const match = line.match(regex);
if (match) {
const timestamp = new Date(parseInt(match[1]) * 1000);
const hostname = match[2];
const cpu = parseFloat(match[3]);
const ram = parseFloat(match[4]);
if (!hostData[hostname]) {
hostData[hostname] = { timestamps: [], cpuUsage: [], ramUsage: [] };
}
hostData[hostname].timestamps.push(timestamp);
hostData[hostname].cpuUsage.push(cpu);
hostData[hostname].ramUsage.push(ram);
}
});
if (!Object.keys(hostData).length) {
console.log("No valid data found");
return;
}
const container = document.getElementById("cpuRamWorkerChartContainer");
container.innerHTML = "";
var i = 1;
Object.entries(hostData).forEach(([hostname, { timestamps, cpuUsage, ramUsage }], index) => {
const chartId = `workerChart_${index}`;
const chartDiv = document.createElement("div");
chartDiv.id = chartId;
chartDiv.style.marginBottom = "40px";
container.appendChild(chartDiv);
const cpuTrace = {
x: timestamps,
y: cpuUsage,
mode: "lines+markers",
name: "CPU Usage (%)",
yaxis: "y1",
line: {
color: "red"
}
};
const ramTrace = {
x: timestamps,
y: ramUsage,
mode: "lines+markers",
name: "RAM Usage (MB)",
yaxis: "y2",
line: {
color: "blue"
}
};
const layout = {
title: `Worker CPU and RAM Usage - ${hostname}`,
xaxis: {
title: get_axis_title_data("Timestamp", "date")
},
yaxis: {
title: get_axis_title_data("CPU Usage (%)"),
side: "left",
color: "red"
},
yaxis2: {
title: get_axis_title_data("RAM Usage (MB)"),
side: "right",
overlaying: "y",
color: "blue"
},
showlegend: true
};
Plotly.newPlot(chartId, [cpuTrace, ramTrace], add_default_layout_data(layout));
i++;
});
$("#plot_worker_cpu_ram_button").remove();
$("#worker_cpu_ram_pre").data("loaded", "true");
}
function load_log_file(log_nr, filename) {
var pre_id = `single_run_${log_nr}_pre`;
if (!$("#" + pre_id).data("loaded")) {
const params = new URLSearchParams(window.location.search);
const user_id = params.get('user_id');
const experiment_name = params.get('experiment_name');
const run_nr = params.get('run_nr');
var url = `get_log?user_id=${user_id}&experiment_name=${experiment_name}&run_nr=${run_nr}&filename=${filename}`;
fetch(url)
.then(response => response.json())
.then(data => {
if (data.data) {
$("#" + pre_id).html(data.data);
$("#" + pre_id).data("loaded", true);
} else {
log(`No 'data' key found in response.`);
}
$("#spinner_log_" + log_nr).remove();
})
.catch(error => {
log(`Error loading log: ${error}`);
$("#spinner_log_" + log_nr).remove();
});
}
}
function load_debug_log () {
var pre_id = `here_debuglogs_go`;
if (!$("#" + pre_id).data("loaded")) {
const params = new URLSearchParams(window.location.search);
const user_id = params.get('user_id');
const experiment_name = params.get('experiment_name');
const run_nr = params.get('run_nr');
var url = `get_debug_log?user_id=${user_id}&experiment_name=${experiment_name}&run_nr=${run_nr}`;
fetch(url)
.then(response => response.json())
.then(data => {
$("#debug_log_spinner").remove();
if (data.data) {
try {
$("#" + pre_id).html(data.data);
} catch (err) {
$("#" + pre_id).text(`Error loading data: ${err}`);
}
$("#" + pre_id).data("loaded", true);
if (typeof apply_theme_based_on_system_preferences === 'function') {
apply_theme_based_on_system_preferences();
}
} else {
log(`No 'data' key found in response.`);
}
})
.catch(error => {
log(`Error loading log: ${error}`);
$("#debug_log_spinner").remove();
});
}
}
function plotBoxplot() {
if ($("#plotBoxplot").data("loaded") == "true") {
return;
}
var numericColumns = tab_results_headers_json.filter(col =>
!special_col_names.includes(col) && !result_names.includes(col) &&
!col.startsWith("OO_Info") &&
tab_results_csv_json.every(row => !isNaN(parseFloat(row[tab_results_headers_json.indexOf(col)])))
);
if (numericColumns.length < 1) {
console.error("Not enough numeric columns for Boxplot");
return;
}
var resultIndex = tab_results_headers_json.findIndex(function(header) {
return result_names.includes(header.toLowerCase());
});
var resultValues = tab_results_csv_json.map(row => row[resultIndex]);
var minResult = Math.min(...resultValues.filter(value => value !== null && value !== ""));
var maxResult = Math.max(...resultValues.filter(value => value !== null && value !== ""));
var plotDiv = document.getElementById("plotBoxplot");
plotDiv.innerHTML = "";
let traces = numericColumns.map(col => {
let index = tab_results_headers_json.indexOf(col);
let data = tab_results_csv_json.map(row => parseFloat(row[index]));
return {
y: data,
type: 'box',
name: col,
boxmean: 'sd',
marker: {
color: 'rgb(0, 255, 0)'
},
};
});
let layout = {
title: 'Boxplot of Numerical Columns',
xaxis: {
title: get_axis_title_data("Columns")
},
yaxis: {
title: get_axis_title_data("Value")
},
showlegend: false
};
Plotly.newPlot(plotDiv, traces, add_default_layout_data(layout));
$("#plotBoxplot").data("loaded", "true");
}
function plotHeatmap() {
if ($("#plotHeatmap").data("loaded") === "true") {
return;
}
var numericColumns = tab_results_headers_json.filter(col => {
if (special_col_names.includes(col) || result_names.includes(col)) {
return false;
}
if (!col.startsWith("OO_Info")) {
return;
}
let index = tab_results_headers_json.indexOf(col);
return tab_results_csv_json.every(row => {
let value = parseFloat(row[index]);
return !isNaN(value) && isFinite(value);
});
});
if (numericColumns.length < 2) {
console.error("Not enough valid numeric columns for Heatmap");
return;
}
var columnData = numericColumns.map(col => {
let index = tab_results_headers_json.indexOf(col);
return tab_results_csv_json.map(row => parseFloat(row[index]));
});
var dataMatrix = numericColumns.map((_, i) =>
numericColumns.map((_, j) => {
let values = columnData[i].map((val, index) => (val + columnData[j][index]) / 2);
return values.reduce((a, b) => a + b, 0) / values.length;
})
);
var trace = {
z: dataMatrix,
x: numericColumns,
y: numericColumns,
colorscale: 'Viridis',
type: 'heatmap'
};
var layout = {
xaxis: {
title: get_axis_title_data("Columns")
},
yaxis: {
title: get_axis_title_data("Columns")
},
showlegend: false
};
var plotDiv = document.getElementById("plotHeatmap");
plotDiv.innerHTML = "";
Plotly.newPlot(plotDiv, [trace], add_default_layout_data(layout));
$("#plotHeatmap").data("loaded", "true");
}
function plotHistogram() {
if ($("#plotHistogram").data("loaded") == "true") {
return;
}
var numericColumns = tab_results_headers_json.filter(col =>
!special_col_names.includes(col) && !result_names.includes(col) &&
!col.startsWith("OO_Info") &&
tab_results_csv_json.every(row => !isNaN(parseFloat(row[tab_results_headers_json.indexOf(col)])))
);
if (numericColumns.length < 1) {
console.error("Not enough columns for Histogram");
return;
}
var plotDiv = document.getElementById("plotHistogram");
plotDiv.innerHTML = "";
const colorPalette = ['#ff9999', '#66b3ff', '#99ff99', '#ffcc99', '#c2c2f0', '#ffb3e6'];
let traces = numericColumns.map((col, index) => {
let data = tab_results_csv_json.map(row => parseFloat(row[tab_results_headers_json.indexOf(col)]));
return {
x: data,
type: 'histogram',
name: col,
opacity: 0.7,
marker: {
color: colorPalette[index % colorPalette.length]
},
autobinx: true
};
});
let layout = {
title: 'Histogram of Numerical Columns',
xaxis: {
title: get_axis_title_data("Value")
},
yaxis: {
title: get_axis_title_data("Frequency")
},
showlegend: true,
barmode: 'overlay'
};
Plotly.newPlot(plotDiv, traces, add_default_layout_data(layout));
$("#plotHistogram").data("loaded", "true");
}
function plotViolin() {
if ($("#plotViolin").data("loaded") == "true") {
return;
}
var numericColumns = tab_results_headers_json.filter(col =>
!special_col_names.includes(col) && !result_names.includes(col) &&
!col.startsWith("OO_Info") &&
tab_results_csv_json.every(row => !isNaN(parseFloat(row[tab_results_headers_json.indexOf(col)])))
);
if (numericColumns.length < 1) {
console.error("Not enough columns for Violin Plot");
return;
}
var plotDiv = document.getElementById("plotViolin");
plotDiv.innerHTML = "";
let traces = numericColumns.map(col => {
let index = tab_results_headers_json.indexOf(col);
let data = tab_results_csv_json.map(row => parseFloat(row[index]));
return {
y: data,
type: 'violin',
name: col,
box: {
visible: true
},
line: {
color: 'rgb(0, 255, 0)'
},
marker: {
color: 'rgb(0, 255, 0)'
},
meanline: {
visible: true
},
};
});
let layout = {
title: 'Violin Plot of Numerical Columns',
yaxis: {
title: get_axis_title_data("Value")
},
xaxis: {
title: get_axis_title_data("Columns")
},
showlegend: false
};
Plotly.newPlot(plotDiv, traces, add_default_layout_data(layout));
$("#plotViolin").data("loaded", "true");
}
function plotExitCodesPieChart() {
if ($("#plotExitCodesPieChart").data("loaded") == "true") {
return;
}
var exitCodes = tab_job_infos_csv_json.map(row => row[tab_job_infos_headers_json.indexOf("exit_code")]);
var exitCodeCounts = exitCodes.reduce(function(counts, exitCode) {
counts[exitCode] = (counts[exitCode] || 0) + 1;
return counts;
}, {});
var labels = Object.keys(exitCodeCounts);
var values = Object.values(exitCodeCounts);
var plotDiv = document.getElementById("plotExitCodesPieChart");
plotDiv.innerHTML = "";
var trace = {
labels: labels,
values: values,
type: 'pie',
hoverinfo: 'label+percent',
textinfo: 'label+value',
marker: {
colors: ['#ff9999','#66b3ff','#99ff99','#ffcc99','#c2c2f0']
}
};
var layout = {
title: 'Exit Code Distribution',
showlegend: true
};
Plotly.newPlot(plotDiv, [trace], add_default_layout_data(layout));
$("#plotExitCodesPieChart").data("loaded", "true");
}
function plotResultEvolution() {
if ($("#plotResultEvolution").data("loaded") == "true") {
return;
}
result_names.forEach(resultName => {
var relevantColumns = tab_results_headers_json.filter(col =>
!special_col_names.includes(col) && !col.startsWith("OO_Info") && col.toLowerCase() !== resultName.toLowerCase()
);
var xColumnIndex = tab_results_headers_json.indexOf("trial_index");
var resultIndex = tab_results_headers_json.indexOf(resultName);
let data = tab_results_csv_json.map(row => ({
x: row[xColumnIndex],
y: parseFloat(row[resultIndex])
}));
data.sort((a, b) => a.x - b.x);
let xData = data.map(item => item.x);
let yData = data.map(item => item.y);
let trace = {
x: xData,
y: yData,
mode: 'lines+markers',
name: resultName,
line: {
shape: 'linear'
},
marker: {
size: get_marker_size()
}
};
let layout = {
title: `Evolution of ${resultName} over time`,
xaxis: {
title: get_axis_title_data("Trial-Index")
},
yaxis: {
title: get_axis_title_data(resultName)
},
showlegend: true
};
let subDiv = document.createElement("div");
document.getElementById("plotResultEvolution").appendChild(subDiv);
Plotly.newPlot(subDiv, [trace], add_default_layout_data(layout));
});
$("#plotResultEvolution").data("loaded", "true");
}
function plotResultPairs() {
if ($("#plotResultPairs").data("loaded") == "true") {
return;
}
var plotDiv = document.getElementById("plotResultPairs");
plotDiv.innerHTML = "";
for (let i = 0; i < result_names.length; i++) {
for (let j = i + 1; j < result_names.length; j++) {
let xName = result_names[i];
let yName = result_names[j];
let xIndex = tab_results_headers_json.indexOf(xName);
let yIndex = tab_results_headers_json.indexOf(yName);
let data = tab_results_csv_json
.filter(row => row[xIndex] !== "" && row[yIndex] !== "")
.map(row => ({
x: parseFloat(row[xIndex]),
y: parseFloat(row[yIndex]),
status: row[tab_results_headers_json.indexOf("trial_status")]
}));
let colors = data.map(d => d.status === "COMPLETED" ? 'green' : (d.status === "FAILED" ? 'red' : 'gray'));
let trace = {
x: data.map(d => d.x),
y: data.map(d => d.y),
mode: 'markers',
marker: {
size: get_marker_size(),
color: colors
},
text: data.map(d => `Status: ${d.status}`),
type: 'scatter',
showlegend: false
};
let layout = {
xaxis: {
title: get_axis_title_data(xName)
},
yaxis: {
title: get_axis_title_data(yName)
},
showlegend: false
};
let subDiv = document.createElement("div");
plotDiv.appendChild(subDiv);
Plotly.newPlot(subDiv, [trace], add_default_layout_data(layout));
}
}
$("#plotResultPairs").data("loaded", "true");
}
function add_up_down_arrows_for_scrolling () {
const upArrow = document.createElement('div');
const downArrow = document.createElement('div');
const style = document.createElement('style');
style.innerHTML = `
.scroll-arrow {
position: fixed;
right: 10px;
z-index: 100;
cursor: pointer;
font-size: 25px;
display: none;
background-color: green;
color: white;
padding: 5px;
outline: 2px solid white;
box-shadow: 0 0 10px rgba(0, 0, 0, 0.5);
transition: background-color 0.3s, transform 0.3s;
}
.scroll-arrow:hover {
background-color: darkgreen;
transform: scale(1.1);
}
#up-arrow {
top: 10px;
}
#down-arrow {
bottom: 10px;
}
`;
document.head.appendChild(style);
upArrow.id = "up-arrow";
upArrow.classList.add("scroll-arrow");
upArrow.classList.add("invert_in_dark_mode");
upArrow.innerHTML = "↑";
downArrow.id = "down-arrow";
downArrow.classList.add("scroll-arrow");
downArrow.classList.add("invert_in_dark_mode");
downArrow.innerHTML = "↓";
document.body.appendChild(upArrow);
document.body.appendChild(downArrow);
function checkScrollPosition() {
const scrollPosition = window.scrollY;
const pageHeight = document.documentElement.scrollHeight;
const windowHeight = window.innerHeight;
if (scrollPosition > 0) {
upArrow.style.display = "block";
} else {
upArrow.style.display = "none";
}
if (scrollPosition + windowHeight < pageHeight) {
downArrow.style.display = "block";
} else {
downArrow.style.display = "none";
}
}
window.addEventListener("scroll", checkScrollPosition);
upArrow.addEventListener("click", function () {
window.scrollTo({ top: 0, behavior: 'smooth' });
});
downArrow.addEventListener("click", function () {
window.scrollTo({ top: document.documentElement.scrollHeight, behavior: 'smooth' });
});
checkScrollPosition();
if (typeof apply_theme_based_on_system_preferences === 'function') {
apply_theme_based_on_system_preferences();
}
}
function plotGPUUsage() {
if ($("#tab_gpu_usage").data("loaded") === "true") {
return;
}
Object.keys(gpu_usage).forEach(node => {
const nodeData = gpu_usage[node];
var timestamps = [];
var gpuUtilizations = [];
var temperatures = [];
nodeData.forEach(entry => {
try {
var timestamp = new Date(entry[0]* 1000);
var utilization = parseFloat(entry[1]);
var temperature = parseFloat(entry[2]);
if (!isNaN(timestamp) && !isNaN(utilization) && !isNaN(temperature)) {
timestamps.push(timestamp);
gpuUtilizations.push(utilization);
temperatures.push(temperature);
} else {
console.warn("Invalid data point:", entry);
}
} catch (error) {
console.error("Error processing GPU data entry:", error, entry);
}
});
var trace1 = {
x: timestamps,
y: gpuUtilizations,
mode: 'lines+markers',
marker: {
size: get_marker_size(),
},
name: 'GPU Utilization (%)',
type: 'scatter',
yaxis: 'y1'
};
var trace2 = {
x: timestamps,
y: temperatures,
mode: 'lines+markers',
marker: {
size: get_marker_size(),
},
name: 'GPU Temperature (°C)',
type: 'scatter',
yaxis: 'y2'
};
var layout = {
title: 'GPU Usage Over Time - ' + node,
xaxis: {
title: get_axis_title_data("Timestamp", "date"),
tickmode: 'array',
tickvals: timestamps.filter((_, index) => index % Math.max(Math.floor(timestamps.length / 10), 1) === 0),
ticktext: timestamps.filter((_, index) => index % Math.max(Math.floor(timestamps.length / 10), 1) === 0).map(t => t.toLocaleString()),
tickangle: -45
},
yaxis: {
title: get_axis_title_data("GPU Utilization (%)"),
overlaying: 'y',
rangemode: 'tozero'
},
yaxis2: {
title: get_axis_title_data("GPU Temperature (°C)"),
overlaying: 'y',
side: 'right',
position: 0.85,
rangemode: 'tozero'
},
legend: {
x: 0.1,
y: 0.9
}
};
var divId = 'gpu_usage_plot_' + node;
if (!document.getElementById(divId)) {
var div = document.createElement('div');
div.id = divId;
div.className = 'gpu-usage-plot';
document.getElementById('tab_gpu_usage').appendChild(div);
}
var plotData = [trace1, trace2];
Plotly.newPlot(divId, plotData, add_default_layout_data(layout));
});
$("#tab_gpu_usage").data("loaded", "true");
}
function plotResultsDistributionByGenerationMethod() {
if ("true" === $("#plotResultsDistributionByGenerationMethod").data("loaded")) {
return;
}
var res_col = result_names[0];
var gen_method_col = "generation_node";
var data = {};
tab_results_csv_json.forEach(row => {
var gen_method = row[tab_results_headers_json.indexOf(gen_method_col)];
var result = row[tab_results_headers_json.indexOf(res_col)];
if (!data[gen_method]) {
data[gen_method] = [];
}
data[gen_method].push(result);
});
var traces = Object.keys(data).map(method => {
return {
y: data[method],
type: 'box',
name: method,
boxpoints: 'outliers',
jitter: 0.5,
pointpos: 0
};
});
var layout = {
title: 'Distribution of Results by Generation Method',
yaxis: {
title: get_axis_title_data(res_col)
},
xaxis: {
title: get_axis_title_data("Generation Method")
},
boxmode: 'group'
};
Plotly.newPlot("plotResultsDistributionByGenerationMethod", traces, add_default_layout_data(layout));
$("#plotResultsDistributionByGenerationMethod").data("loaded", "true");
}
function plotJobStatusDistribution() {
if ($("#plotJobStatusDistribution").data("loaded") === "true") {
return;
}
var status_col = "trial_status";
var status_counts = {};
tab_results_csv_json.forEach(row => {
var status = row[tab_results_headers_json.indexOf(status_col)];
if (status) {
status_counts[status] = (status_counts[status] || 0) + 1;
}
});
var statuses = Object.keys(status_counts);
var counts = Object.values(status_counts);
var colors = statuses.map((status, i) =>
status === "FAILED" ? "#FF0000" : `hsl(${30 + ((i * 137) % 330)}, 70%, 50%)`
);
var trace = {
x: statuses,
y: counts,
type: 'bar',
marker: { color: colors }
};
var layout = {
title: 'Distribution of Job Status',
xaxis: { title: 'Trial Status' },
yaxis: { title: 'Nr. of jobs' }
};
Plotly.newPlot("plotJobStatusDistribution", [trace], add_default_layout_data(layout));
$("#plotJobStatusDistribution").data("loaded", "true");
}
function _colorize_table_entries_by_generation_method () {
document.querySelectorAll('[data-column-id="generation_node"]').forEach(el => {
let text = el.textContent.toLowerCase();
let color = text.includes("manual") ? "green" :
text.includes("sobol") ? "orange" :
text.includes("saasbo") ? "pink" :
text.includes("uniform") ? "lightblue" :
text.includes("legacy_gpei") ? "sienna" :
text.includes("bo_mixed") ? "aqua" :
text.includes("randomforest") ? "darkseagreen" :
text.includes("external_generator") ? "purple" :
text.includes("botorch") ? "yellow" : "";
if (color !== "") {
el.style.backgroundColor = color;
}
el.classList.add("invert_in_dark_mode");
});
}
function _colorize_table_entries_by_trial_status () {
document.querySelectorAll('[data-column-id="trial_status"]').forEach(el => {
let color = el.textContent.includes("COMPLETED") ? "lightgreen" :
el.textContent.includes("RUNNING") ? "orange" :
el.textContent.includes("FAILED") ? "red" :
el.textContent.includes("ABANDONED") ? "yellow" : "";
if (color) el.style.backgroundColor = color;
el.classList.add("invert_in_dark_mode");
});
}
function _colorize_table_entries_by_run_time() {
let cells = [...document.querySelectorAll('[data-column-id="run_time"]')];
if (cells.length === 0) return;
let values = cells.map(el => parseFloat(el.textContent)).filter(v => !isNaN(v));
if (values.length === 0) return;
let min = Math.min(...values);
let max = Math.max(...values);
let range = max - min || 1;
cells.forEach(el => {
let value = parseFloat(el.textContent);
if (isNaN(value)) return;
let ratio = (value - min) / range;
let red = Math.round(255 * ratio);
let green = Math.round(255 * (1 - ratio));
el.style.backgroundColor = `rgb(${red}, ${green}, 0)`;
el.classList.add("invert_in_dark_mode");
});
}
function _colorize_table_entries_by_results() {
result_names.forEach((name, index) => {
let minMax = result_min_max[index];
let selector_query = `[data-column-id="${name}"]`;
let cells = [...document.querySelectorAll(selector_query)];
if (cells.length === 0) return;
let values = cells.map(el => parseFloat(el.textContent)).filter(v => v > 0 && !isNaN(v));
if (values.length === 0) return;
let logValues = values.map(v => Math.log(v));
let logMin = Math.min(...logValues);
let logMax = Math.max(...logValues);
let logRange = logMax - logMin || 1;
cells.forEach(el => {
let value = parseFloat(el.textContent);
if (isNaN(value) || value <= 0) return;
let logValue = Math.log(value);
let ratio = (logValue - logMin) / logRange;
if (minMax === "max") ratio = 1 - ratio;
let red = Math.round(255 * ratio);
let green = Math.round(255 * (1 - ratio));
el.style.backgroundColor = `rgb(${red}, ${green}, 0)`;
el.classList.add("invert_in_dark_mode");
});
});
}
function _colorize_table_entries_by_generation_node_or_hostname() {
["hostname", "generation_node"].forEach(element => {
let selector_query = '[data-column-id="' + element + '"]:not(.gridjs-th)';
let cells = [...document.querySelectorAll(selector_query)];
if (cells.length === 0) return;
let uniqueValues = [...new Set(cells.map(el => el.textContent.trim()))];
let colorMap = {};
uniqueValues.forEach((value, index) => {
let hue = Math.round((360 / uniqueValues.length) * index);
colorMap[value] = `hsl(${hue}, 70%, 60%)`;
});
cells.forEach(el => {
let value = el.textContent.trim();
if (colorMap[value]) {
el.style.backgroundColor = colorMap[value];
el.classList.add("invert_in_dark_mode");
}
});
});
}
function colorize_table_entries () {
setTimeout(() => {
if (typeof result_names !== "undefined" && Array.isArray(result_names) && result_names.length > 0) {
_colorize_table_entries_by_trial_status();
_colorize_table_entries_by_results();
_colorize_table_entries_by_run_time();
_colorize_table_entries_by_generation_method();
_colorize_table_entries_by_generation_node_or_hostname();
if (typeof apply_theme_based_on_system_preferences === 'function') {
apply_theme_based_on_system_preferences();
}
}
}, 300);
}
function add_colorize_to_gridjs_table () {
let searchInput = document.querySelector(".gridjs-search-input");
if (searchInput) {
searchInput.addEventListener("input", colorize_table_entries);
}
}
function updatePreWidths() {
var width = window.innerWidth * 0.95;
var pres = document.getElementsByTagName('pre');
for (var i = 0; i < pres.length; i++) {
pres[i].style.width = width + 'px';
}
}
function demo_mode(nr_sec = 3) {
let i = 0;
let tabs = $('menu[role="tablist"] > button');
setInterval(() => {
tabs.attr('aria-selected', 'false').removeClass('active');
let tab = tabs.eq(i % tabs.length);
tab.attr('aria-selected', 'true').addClass('active');
tab.trigger('click');
i++;
}, nr_sec * 1000);
}
function resizePlotlyCharts() {
const plotlyElements = document.querySelectorAll('.js-plotly-plot');
if (plotlyElements.length) {
const windowWidth = window.innerWidth;
const windowHeight = window.innerHeight;
const newWidth = windowWidth * 0.9;
const newHeight = windowHeight * 0.9;
plotlyElements.forEach(function(element, index) {
const layout = {
width: newWidth,
height: newHeight,
plot_bgcolor: 'rgba(0, 0, 0, 0)',
paper_bgcolor: 'rgba(0, 0, 0, 0)',
};
Plotly.relayout(element, layout)
});
}
make_text_in_parallel_plot_nicer();
apply_theme_based_on_system_preferences();
}
function plotTimelineFromGlobals() {
if (
typeof tab_results_headers_json === "undefined" ||
typeof tab_results_csv_json === "undefined" ||
!Array.isArray(tab_results_headers_json) ||
!Array.isArray(tab_results_csv_json)
) {
console.warn("Global variables 'tab_results_headers_json' or 'tab_results_csv_json' missing or invalid.");
return null;
}
const headers = tab_results_headers_json;
const data = tab_results_csv_json;
const col = name => headers.indexOf(name);
const ix_trial_index = col("trial_index");
const ix_start_time = col("start_time");
const ix_end_time = col("end_time");
const ix_status = col("trial_status");
if ([ix_trial_index, ix_start_time, ix_end_time, ix_status].some(ix => ix === -1)) {
console.warn("One or more needed columns missing");
return null;
}
const traces = [];
// Add dummy traces for legend
traces.push({
type: "scatter",
mode: "lines",
x: [null, null],
y: [null, null],
line: { color: "green", width: 4 },
name: "COMPLETED",
showlegend: true,
hoverinfo: "none"
});
traces.push({
type: "scatter",
mode: "lines",
x: [null, null],
y: [null, null],
line: { color: "yellow", width: 4 },
name: "RUNNING",
showlegend: true,
hoverinfo: "none"
});
traces.push({
type: "scatter",
mode: "lines",
x: [null, null],
y: [null, null],
line: { color: "red", width: 4 },
name: "FAILED/OTHER",
showlegend: true,
hoverinfo: "none"
});
for (const row of data) {
const trial_index = row[ix_trial_index];
const start = row[ix_start_time];
const end = row[ix_end_time];
const status = row[ix_status];
if (
trial_index === "" || start === "" || end === "" ||
isNaN(start) || isNaN(end)
) continue;
let color = "red"; // default
if (status === "COMPLETED") color = "green";
else if (status === "RUNNING") color = "yellow";
traces.push({
type: "scatter",
mode: "lines",
x: [new Date(start * 1000), new Date(end * 1000)],
y: [trial_index, trial_index],
line: { color: color, width: 4 },
name: `Trial ${trial_index} (${status})`,
showlegend: false,
hoverinfo: "x+y+name"
});
}
if (traces.length <= 3) { // only dummy traces added
console.warn("No valid data for plotting found.");
return null;
}
const layout = {
title: "Trial Timeline",
xaxis: {
title: "Time",
type: "date"
},
yaxis: {
title: "Trial Index",
autorange: "reversed"
},
margin: { t: 50 }
};
Plotly.newPlot('plot_timeline', traces, add_default_layout_data(layout));
return true;
}
window.addEventListener('load', updatePreWidths);
window.addEventListener('resize', updatePreWidths);
$(document).ready(function() {
colorize_table_entries();
add_up_down_arrows_for_scrolling();
add_colorize_to_gridjs_table();
});
window.addEventListener('resize', function() {
resizePlotlyCharts();
});
"use strict";
function get_row_by_index(idx) {
if (!Object.keys(window).includes("tab_results_csv_json")) {
error("tab_results_csv_json is not defined");
return;
}
if (!Object.keys(window).includes("tab_results_headers_json")) {
error("tab_results_headers_json is not defined");
return;
}
var trial_index_col_idx = tab_results_headers_json.indexOf("trial_index");
if(trial_index_col_idx == -1) {
error(`"trial_index" could not be found in tab_results_headers_json. Cannot continue`);
return null;
}
for (var i = 0; i < tab_results_csv_json.length; i++) {
var row = tab_results_csv_json[i];
var trial_index = row[trial_index_col_idx];
if (trial_index == idx) {
return row;
}
}
return null;
}
function load_pareto_graph_from_idxs () {
if (!Object.keys(window).includes("pareto_idxs")) {
error("pareto_idxs is not defined");
return;
}
if (!Object.keys(window).includes("tab_results_csv_json")) {
error("tab_results_csv_json is not defined");
return;
}
if (!Object.keys(window).includes("tab_results_headers_json")) {
error("tab_results_headers_json is not defined");
return;
}
if(pareto_idxs === null) {
var err_msg = "pareto_idxs is null. Cannot plot or create tables from empty data. This can be caused by a defective <tt>pareto_idxs.json</tt> file. Please try reloading, or re-calculating the pareto-front and re-submitting if this problem persists.";
$("#pareto_from_idxs_table").html(`<div class="caveat alarm">${err_msg}</div>`);
return;
}
var table = get_pareto_table_data_from_idx();
var html_tables = createParetoTablesFromData(table);
$("#pareto_from_idxs_table").html(html_tables);
renderParetoFrontPlots(table);
apply_theme_based_on_system_preferences();
}
function renderParetoFrontPlots(data) {
try {
let container = document.getElementById("pareto_front_idxs_plot_container");
if (!container) {
console.error("DIV with id 'pareto_front_idxs_plot_container' not found.");
return;
}
container.innerHTML = "";
if(data === undefined || data === null) {
var err_msg = "There was an error getting the data for Pareto-Fronts. See the developer's console to see further details.";
$("#pareto_from_idxs_table").html(`<div class="caveat alarm">${err_msg}</div>`);
return;
}
Object.keys(data).forEach((key, idx) => {
if (!key.startsWith("Pareto front for ")) return;
let label = key.replace("Pareto front for ", "");
let [xKey, yKey] = label.split("/");
if (!xKey || !yKey) {
console.warn("Could not extract two objectives from key:", key);
return;
}
let entries = data[key];
let x = [];
let y = [];
let hoverTexts = [];
entries.forEach((entry) => {
let results = entry.results || {};
let values = entry.values || {};
let xVal = (results[xKey] || [])[0];
let yVal = (results[yKey] || [])[0];
if (xVal === undefined || yVal === undefined) {
console.warn("Missing values for", xKey, yKey, "in", entry);
return;
}
x.push(xVal);
y.push(yVal);
let hoverInfo = [];
if ("trial_index" in values) {
hoverInfo.push(`<b>Trial Index:</b> ${values.trial_index[0]}`);
}
Object.keys(values)
.filter(k => k !== "trial_index")
.sort()
.forEach(k => {
hoverInfo.push(`<b>${k}:</b> ${values[k][0]}`);
});
Object.keys(results)
.sort()
.forEach(k => {
hoverInfo.push(`<b>${k}:</b> ${results[k][0]}`);
});
hoverTexts.push(hoverInfo.join("<br>"));
});
let wrapper = document.createElement("div");
wrapper.style.marginBottom = "30px";
let titleEl = document.createElement("h3");
titleEl.textContent = `Pareto Front: ${xKey} (${getMinMaxByResultName(xKey)}) vs ${yKey} (${getMinMaxByResultName(yKey)})`;
wrapper.appendChild(titleEl);
let divId = `pareto_plot_${idx}`;
let plotDiv = document.createElement("div");
plotDiv.id = divId;
plotDiv.style.width = "100%";
plotDiv.style.height = "400px";
wrapper.appendChild(plotDiv);
container.appendChild(wrapper);
let trace = {
x: x,
y: y,
text: hoverTexts,
hoverinfo: "text",
mode: "markers",
type: "scatter",
marker: {
size: 8,
color: 'rgb(31, 119, 180)',
line: {
width: 1,
color: 'black'
}
},
name: label
};
let layout = {
xaxis: { title: { text: xKey } },
yaxis: { title: { text: yKey } },
margin: { t: 10, l: 60, r: 20, b: 50 },
hovermode: "closest",
showlegend: false
};
Plotly.newPlot(divId, [trace], add_default_layout_data(layout, 1));
});
} catch (e) {
console.error("Error while rendering Pareto front plots:", e);
}
}
function createParetoTablesFromData(data) {
try {
var container = document.createElement("div");
var parsedData;
try {
parsedData = typeof data === "string" ? JSON.parse(data) : data;
} catch (e) {
console.error("JSON parsing failed:", e);
return container;
}
for (var sectionTitle in parsedData) {
if (!parsedData.hasOwnProperty(sectionTitle)) {
continue;
}
var sectionData = parsedData[sectionTitle];
var heading = document.createElement("h2");
heading.textContent = sectionTitle;
container.appendChild(heading);
var table = document.createElement("table");
table.style.borderCollapse = "collapse";
table.style.marginBottom = "2em";
table.style.width = "100%";
var thead = document.createElement("thead");
var headerRow = document.createElement("tr");
var allValueKeys = new Set();
var allResultKeys = new Set();
sectionData.forEach(entry => {
var values = entry.values || {};
var results = entry.results || {};
Object.keys(values).forEach(key => {
allValueKeys.add(key);
});
Object.keys(results).forEach(key => {
allResultKeys.add(key);
});
});
var sortedValueKeys = Array.from(allValueKeys).sort();
var sortedResultKeys = Array.from(allResultKeys).sort();
if (sortedValueKeys.includes("trial_index")) {
sortedValueKeys = sortedValueKeys.filter(k => k !== "trial_index");
sortedValueKeys.unshift("trial_index");
}
var allColumns = [...sortedValueKeys, ...sortedResultKeys];
allColumns.forEach(col => {
var th = document.createElement("th");
th.textContent = col;
th.style.border = "1px solid black";
th.style.padding = "4px";
headerRow.appendChild(th);
});
thead.appendChild(headerRow);
table.appendChild(thead);
var tbody = document.createElement("tbody");
sectionData.forEach(entry => {
var tr = document.createElement("tr");
allColumns.forEach(col => {
var td = document.createElement("td");
td.style.border = "1px solid black";
td.style.padding = "4px";
var value = null;
if (col in entry.values) {
value = entry.values[col];
} else if (col in entry.results) {
value = entry.results[col];
}
if (Array.isArray(value)) {
td.textContent = value.join(", ");
} else {
td.textContent = value !== null && value !== undefined ? value : "";
}
tr.appendChild(td);
});
tbody.appendChild(tr);
});
table.appendChild(tbody);
container.appendChild(table);
}
return container;
} catch (err) {
console.error("Unexpected error:", err);
var errorDiv = document.createElement("div");
errorDiv.textContent = "Error generating tables.";
return errorDiv;
}
}
function get_pareto_table_data_from_idx () {
if (!Object.keys(window).includes("pareto_idxs")) {
error("pareto_idxs is not defined");
return;
}
if (!Object.keys(window).includes("tab_results_csv_json")) {
error("tab_results_csv_json is not defined");
return;
}
if (!Object.keys(window).includes("tab_results_headers_json")) {
error("tab_results_headers_json is not defined");
return;
}
var x_keys = Object.keys(pareto_idxs);
var tables = {};
for (var i = 0; i < x_keys.length; i++) {
var x_key = x_keys[i];
var y_keys = Object.keys(pareto_idxs[x_key]);
for (var j = 0; j < y_keys.length; j++) {
var y_key = y_keys[j];
var indices = pareto_idxs[x_key][y_key];
for (var k = 0; k < indices.length; k++) {
var idx = indices[k];
var row = get_row_by_index(idx);
if(row === null) {
error(`Error getting the row for index ${idx}`);
return;
}
var row_dict = {
"results": {},
"values": {},
};
for (var l = 0; l < tab_results_headers_json.length; l++) {
var header = tab_results_headers_json[l];
if (!special_col_names.includes(header) || header == "trial_index") {
var val = row[l];
if (result_names.includes(header)) {
if (!Object.keys(row_dict["results"]).includes(header)) {
row_dict["results"][header] = [];
}
row_dict["results"][header].push(val);
} else {
if (!Object.keys(row_dict["values"]).includes(header)) {
row_dict["values"][header] = [];
}
row_dict["values"][header].push(val);
}
}
}
var table_key = `Pareto front for ${x_key}/${y_key}`;
if(!Object.keys(tables).includes(table_key)) {
tables[table_key] = [];
}
tables[table_key].push(row_dict);
}
}
}
return tables;
}
function getMinMaxByResultName(resultName) {
try {
if (typeof resultName !== "string") {
error("Parameter resultName must be a string");
return;
}
if (!Array.isArray(result_names)) {
error("Global variable result_names is not an array or undefined");
return;
}
if (!Array.isArray(result_min_max)) {
error("Global variable result_min_max is not an array or undefined");
return;
}
if (result_names.length !== result_min_max.length) {
error("Global arrays result_names and result_min_max must have the same length");
return;
}
var index = result_names.indexOf(resultName);
if (index === -1) {
error("Result name '" + resultName + "' not found in result_names");
return;
}
var minMaxValue = result_min_max[index];
if (minMaxValue !== "min" && minMaxValue !== "max") {
error("Value for result name '" + resultName + "' is invalid: expected 'min' or 'max'");
return;
}
return minMaxValue;
} catch (e) {
error("Unexpected error: " + e.message);
}
}
$(document).ready(function() {
colorize_table_entries();;
plotCPUAndRAMUsage();;
createParallelPlot(tab_results_csv_json, tab_results_headers_json, result_names, special_col_names);;
plotJobStatusDistribution();;
plotBoxplot();;
plotViolin();;
plotHistogram();;
plotHeatmap();
colorize_table_entries();
});
</script>
<h1> Overview</h1>
<h2>Best parameter (total: 0): </h2><table cellspacing="0" cellpadding="5"><thead><tr><th> n_samples</th><th>n_windows</th><th>disjoint_training_windows</th><th>result </th></tr></thead><tbody><tr><td> 100</td><td>25</td><td>0</td><td>0.264861 </td></tr></tbody></table><h2>Experiment parameters: </h2><table cellspacing="0" cellpadding="5"><thead><tr><th> Name</th><th>Type</th><th>Lower bound</th><th>Upper bound</th><th>Values</th><th>Type </th></tr></thead><tbody><tr><td> n_samples</td><td>range</td><td>100</td><td>1000</td><td></td><td>int </td></tr><tr><td> n_windows</td><td>range</td><td>25</td><td>250</td><td></td><td>int </td></tr><tr><td> disjoint_training…</td><td>choice</td><td></td><td></td><td>False, True</td><td></td></tr></tbody></table><h2>Number of evaluations</h2>
<table>
<tbody>
<tr>
<th>Failed</th>
<th>Succeeded</th>
<th>Running</th>
<th>Total</th>
</tr>
<tr>
<td>0</td>
<td>495</td>
<td>5</td>
<td>500</td>
</tr>
</tbody>
</table>
<h1> Results</h1>
<div id='tab_results_csv_table'></div>
<button class='copy_clipboard_button' onclick='copy_to_clipboard_from_id("tab_results_csv_table_pre")'> Copy raw data to clipboard</button>
<button onclick='download_as_file("tab_results_csv_table_pre", "results.csv")'> Download »results.csv« as file</button>
<pre id='tab_results_csv_table_pre'>trial_index,arm_name,trial_status,generation_method,result,n_samples,n_windows,disjoint_training_windows
0,0_0,COMPLETED,Sobol,0.328986975397973946400043132599,878,163,True
1,1_0,COMPLETED,Sobol,0.326261456825856277497166502144,951,62,False
2,2_0,COMPLETED,Sobol,0.325504100337674850962343953142,129,145,False
3,3_0,COMPLETED,Sobol,0.328986975397973946400043132599,117,132,True
4,4_0,COMPLETED,Sobol,0.318234442836468844895136953710,924,86,False
5,5_0,COMPLETED,Sobol,0.328986975397973946400043132599,405,235,True
6,6_0,COMPLETED,Sobol,0.318253738543174180541939222167,819,46,False
7,7_0,COMPLETED,Sobol,0.275318379160636728109068371850,151,86,False
8,8_0,COMPLETED,Sobol,0.296362759286058818908315970475,357,38,False
9,9_0,COMPLETED,Sobol,0.319447660395561938706521232234,977,97,False
10,10_0,COMPLETED,Sobol,0.328986975397973946400043132599,116,54,True
11,11_0,COMPLETED,Sobol,0.328986975397973946400043132599,371,126,True
12,12_0,COMPLETED,Sobol,0.328986975397973946400043132599,212,123,True
13,13_0,COMPLETED,Sobol,0.328986975397973946400043132599,287,35,True
14,14_0,COMPLETED,Sobol,0.328986975397973946400043132599,685,96,True
15,15_0,COMPLETED,Sobol,0.305517366136034751455952118704,507,161,False
16,16_0,COMPLETED,Sobol,0.328986975397973946400043132599,123,42,True
17,17_0,COMPLETED,Sobol,0.347255185721177084268163071101,209,105,False
18,18_0,COMPLETED,Sobol,0.292507235890014483103982456669,270,167,False
19,19_0,COMPLETED,Sobol,0.302040520984081073407878648140,486,132,False
20,20_0,COMPLETED,BoTorch,0.274843222383019725185704373871,152,25,False
21,21_0,COMPLETED,BoTorch,0.301420646406174608245009949314,441,218,False
22,22_0,COMPLETED,BoTorch,0.300529425952725470772008975473,390,250,False
23,23_0,COMPLETED,BoTorch,0.328986975397973946400043132599,1000,250,True
24,24_0,COMPLETED,BoTorch,0.328986975397973946400043132599,1000,25,True
25,25_0,COMPLETED,BoTorch,0.299066570188133096230842511432,440,25,False
26,26_0,COMPLETED,BoTorch,0.292056198745779038716818831745,318,78,False
27,27_0,COMPLETED,BoTorch,0.328986975397973946400043132599,100,250,True
28,28_0,COMPLETED,BoTorch,0.300810419681620810905542384717,451,160,False
29,29_0,COMPLETED,BoTorch,0.321953690303907413827744221635,1000,25,False
30,30_0,COMPLETED,BoTorch,0.300009647853352601210019656719,442,104,False
31,31_0,COMPLETED,BoTorch,0.303680656054027942047923716018,466,71,False
32,32_0,COMPLETED,BoTorch,0.296224071394114774058436978521,404,107,False
33,33_0,COMPLETED,BoTorch,0.293312831644959026711205751781,305,39,False
34,34_0,COMPLETED,BoTorch,0.293535938253738581948937280686,302,50,False
35,35_0,COMPLETED,BoTorch,0.366292812349252261405752051360,100,250,False
36,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
37,37_0,COMPLETED,BoTorch,0.286560540279787723250137787545,289,25,False
38,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
39,39_0,COMPLETED,BoTorch,0.328986975397973946400043132599,1000,65,True
40,40_0,COMPLETED,BoTorch,0.301731789676796924304369440506,426,148,False
41,24_0,COMPLETED,BoTorch,0.328986975397973946400043132599,1000,25,True
42,42_0,COMPLETED,BoTorch,0.307696575012059825304788773792,581,236,False
43,43_0,COMPLETED,BoTorch,0.304446454413892952928222257469,563,151,False
44,44_0,COMPLETED,BoTorch,0.302655571635311093636744317337,448,226,False
45,45_0,COMPLETED,BoTorch,0.308854317414375301176221455535,570,235,False
46,27_0,COMPLETED,BoTorch,0.328986975397973946400043132599,100,250,True
47,47_0,COMPLETED,BoTorch,0.291746261456825806135384482332,310,250,False
48,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
49,49_0,COMPLETED,BoTorch,0.328986975397973946400043132599,956,69,True
50,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
51,24_0,COMPLETED,BoTorch,0.328986975397973946400043132599,1000,25,True
52,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
53,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
54,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
55,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
56,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
57,57_0,COMPLETED,BoTorch,0.312941389290882776563762490696,652,250,False
58,24_0,COMPLETED,BoTorch,0.328986975397973946400043132599,1000,25,True
59,59_0,RUNNING,BoTorch,,125,48,False
60,60_0,COMPLETED,BoTorch,0.269288470815243652367598770070,123,42,False
61,61_0,COMPLETED,BoTorch,0.294008683068017417916450995108,320,170,False
62,62_0,COMPLETED,BoTorch,0.313212735166425448873894765711,579,159,False
63,63_0,COMPLETED,BoTorch,0.270857452966714928876967860560,123,46,False
64,63_0,COMPLETED,BoTorch,0.270857452966714928876967860560,123,46,False
65,65_0,COMPLETED,BoTorch,0.313833815726000997514688606316,683,225,False
66,66_0,COMPLETED,BoTorch,0.319536903039073783006074336299,774,250,False
67,63_0,COMPLETED,BoTorch,0.270857452966714928876967860560,123,46,False
68,68_0,COMPLETED,BoTorch,0.310701881331403750863273671712,648,208,False
69,69_0,COMPLETED,BoTorch,0.271148094548962825811599941517,123,45,False
70,69_0,COMPLETED,BoTorch,0.271148094548962825811599941517,123,45,False
71,71_0,COMPLETED,BoTorch,0.312427641099855324391398880834,725,226,False
72,72_0,COMPLETED,BoTorch,0.317257597684515224578660763655,758,242,False
73,73_0,COMPLETED,BoTorch,0.317761698022190008927623239288,865,250,False
74,74_0,COMPLETED,BoTorch,0.328986975397973946400043132599,526,63,True
75,75_0,COMPLETED,BoTorch,0.270680173661360323755786794209,122,39,False
76,76_0,COMPLETED,BoTorch,0.267215388326097480486964741431,111,25,False
77,77_0,COMPLETED,BoTorch,0.305510130246020250588401268033,530,33,False
78,78_0,COMPLETED,BoTorch,0.312721900627110471759806387126,729,178,False
79,79_0,COMPLETED,BoTorch,0.269232995658466034427647173288,112,25,False
80,80_0,COMPLETED,BoTorch,0.318338157260009690929791759118,823,250,False
81,76_0,COMPLETED,BoTorch,0.267215388326097480486964741431,111,25,False
82,82_0,COMPLETED,BoTorch,0.328986975397973946400043132599,526,109,True
83,83_0,COMPLETED,BoTorch,0.328986975397973946400043132599,576,250,True
84,76_0,COMPLETED,BoTorch,0.267215388326097480486964741431,111,25,False
85,85_0,COMPLETED,BoTorch,0.328986975397973946400043132599,535,144,True
86,86_0,COMPLETED,BoTorch,0.311863241678726477168481778790,697,25,False
87,87_0,COMPLETED,BoTorch,0.315069946936806566384348116117,707,25,False
88,88_0,COMPLETED,BoTorch,0.328986975397973946400043132599,557,111,True
89,89_0,COMPLETED,BoTorch,0.328986975397973946400043132599,479,25,True
90,90_0,COMPLETED,BoTorch,0.321057645923781942443042680679,845,250,False
91,91_0,COMPLETED,BoTorch,0.328986975397973946400043132599,622,199,True
92,92_0,COMPLETED,BoTorch,0.271739025566811398526567700173,137,42,False
93,93_0,COMPLETED,BoTorch,0.325823685479980751367179436784,1000,250,False
94,94_0,COMPLETED,BoTorch,0.313047515677761678531965117145,676,25,False
95,95_0,COMPLETED,BoTorch,0.328986975397973946400043132599,585,250,True
96,96_0,COMPLETED,BoTorch,0.311389290882778557723042922589,643,37,False
97,97_0,COMPLETED,BoTorch,0.328986975397973946400043132599,500,160,True
98,98_0,COMPLETED,BoTorch,0.328986975397973946400043132599,532,250,True
99,99_0,COMPLETED,BoTorch,0.328986975397973946400043132599,474,87,True
100,100_0,COMPLETED,BoTorch,0.328986975397973946400043132599,451,145,True
101,101_0,COMPLETED,BoTorch,0.328986975397973946400043132599,515,140,True
102,102_0,COMPLETED,BoTorch,0.328986975397973946400043132599,501,250,True
103,103_0,COMPLETED,BoTorch,0.328986975397973946400043132599,517,147,True
104,104_0,COMPLETED,BoTorch,0.273961649782923255536104534258,139,47,False
105,105_0,COMPLETED,BoTorch,0.328986975397973946400043132599,472,142,True
106,106_0,COMPLETED,BoTorch,0.328986975397973946400043132599,630,250,True
107,107_0,COMPLETED,BoTorch,0.328986975397973946400043132599,270,250,True
108,108_0,COMPLETED,BoTorch,0.328986975397973946400043132599,588,250,True
109,109_0,COMPLETED,BoTorch,0.328986975397973946400043132599,755,250,True
110,110_0,COMPLETED,BoTorch,0.266495417269657530745519125048,104,26,False
111,111_0,COMPLETED,BoTorch,0.328986975397973946400043132599,406,25,True
112,112_0,COMPLETED,BoTorch,0.328986975397973946400043132599,762,250,True
113,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
114,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
115,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
116,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
117,117_0,COMPLETED,BoTorch,0.289293294741919893020565268671,278,250,False
118,118_0,COMPLETED,BoTorch,0.322358900144717797076054921490,869,147,False
119,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
120,120_0,COMPLETED,BoTorch,0.291649782923299571990582990111,293,210,False
121,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
122,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
123,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
124,124_0,RUNNING,BoTorch,,728,250,True
125,125_0,COMPLETED,BoTorch,0.328986975397973946400043132599,904,250,True
126,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
127,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
128,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
129,129_0,COMPLETED,BoTorch,0.328986975397973946400043132599,728,217,True
130,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
131,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
132,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
133,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
134,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
135,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
136,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
137,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
138,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
139,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
140,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
141,141_0,COMPLETED,BoTorch,0.328986975397973946400043132599,794,25,True
142,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
143,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
144,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
145,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
146,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
147,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
148,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
149,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
150,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
151,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
152,152_0,COMPLETED,BoTorch,0.328986975397973946400043132599,812,25,True
153,153_0,COMPLETED,BoTorch,0.328986975397973946400043132599,880,165,True
154,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
155,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
156,156_0,COMPLETED,BoTorch,0.328986975397973946400043132599,682,95,True
157,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
158,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
159,159_0,COMPLETED,BoTorch,0.328986975397973946400043132599,685,103,True
160,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
161,161_0,COMPLETED,BoTorch,0.328986975397973946400043132599,712,88,True
162,162_0,COMPLETED,BoTorch,0.328986975397973946400043132599,829,64,True
163,163_0,COMPLETED,BoTorch,0.328986975397973946400043132599,819,25,True
164,164_0,COMPLETED,BoTorch,0.328986975397973946400043132599,800,114,True
165,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
166,166_0,COMPLETED,BoTorch,0.328986975397973946400043132599,674,110,True
167,167_0,COMPLETED,BoTorch,0.328986975397973946400043132599,773,25,True
168,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
169,169_0,COMPLETED,BoTorch,0.321876507477086293285140072840,928,250,False
170,170_0,COMPLETED,BoTorch,0.328986975397973946400043132599,708,91,True
171,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
172,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
173,173_0,COMPLETED,BoTorch,0.328986975397973946400043132599,696,100,True
174,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
175,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
176,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
177,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
178,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
179,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
180,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
181,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
182,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
183,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
184,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
185,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
186,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
187,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
188,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
189,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
190,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
191,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
192,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
193,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
194,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
195,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
196,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
197,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
198,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
199,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
200,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
201,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
202,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
203,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
204,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
205,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
206,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
207,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
208,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
209,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
210,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
211,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
212,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
213,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
214,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
215,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
216,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
217,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
218,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
219,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
220,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
221,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
222,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
223,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
224,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
225,225_0,COMPLETED,BoTorch,0.267549445248432271604599463899,121,78,False
226,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
227,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
228,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
229,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
230,36_0,RUNNING,BoTorch,,100,25,False
231,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
232,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
233,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
234,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
235,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
236,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
237,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
238,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
239,239_0,COMPLETED,BoTorch,0.303071635311143228186381293199,571,90,False
240,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
241,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
242,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
243,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
244,244_0,COMPLETED,BoTorch,0.306473709599614063670003361040,568,93,False
245,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
246,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
247,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
248,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
249,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
250,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
251,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
252,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
253,253_0,COMPLETED,BoTorch,0.310180897250361797823359211179,633,99,False
254,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
255,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
256,256_0,COMPLETED,BoTorch,0.321927158707187688335693565023,1000,155,False
257,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
258,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
259,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
260,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
261,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
262,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
263,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
264,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
265,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
266,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
267,267_0,COMPLETED,BoTorch,0.328986975397973946400043132599,232,185,True
268,268_0,COMPLETED,BoTorch,0.328986975397973946400043132599,1000,136,True
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272,272_0,COMPLETED,BoTorch,0.328986975397973946400043132599,264,184,True
273,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
274,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
275,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
276,276_0,COMPLETED,BoTorch,0.328986975397973946400043132599,188,190,True
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278,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
279,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
280,280_0,COMPLETED,BoTorch,0.328986975397973946400043132599,161,166,True
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282,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
283,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
284,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
285,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
286,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
287,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
288,288_0,COMPLETED,BoTorch,0.318431017848528674640817826003,801,124,False
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290,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
291,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
292,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
293,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
294,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
295,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
296,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
297,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
298,298_0,COMPLETED,BoTorch,0.316766763145200247464572385070,820,43,False
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304,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
305,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
306,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
307,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
308,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
309,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
310,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
311,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
312,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
313,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
314,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
315,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
316,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
317,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
318,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
319,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
320,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
321,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
322,322_0,COMPLETED,BoTorch,0.317793053545586068331374463014,874,25,False
323,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
324,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
325,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
326,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
327,322_0,COMPLETED,BoTorch,0.317793053545586068331374463014,874,25,False
328,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
329,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
330,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
331,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
332,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
333,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
334,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
335,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
336,36_0,RUNNING,BoTorch,,100,25,False
337,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
338,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
339,339_0,COMPLETED,BoTorch,0.296500241196333780280269820651,367,74,False
340,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
341,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
342,342_0,COMPLETED,BoTorch,0.307613362276893398394861378620,582,25,False
343,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
344,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
345,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
346,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
347,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
348,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
349,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
350,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
351,342_0,COMPLETED,BoTorch,0.307613362276893398394861378620,582,25,False
352,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
353,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
354,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
355,355_0,COMPLETED,BoTorch,0.328986975397973946400043132599,616,25,True
356,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
357,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
358,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
359,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
360,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
361,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
362,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
363,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
364,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
365,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
366,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
367,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
368,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
369,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
370,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
371,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
372,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
373,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
374,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
375,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
376,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
377,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
378,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
379,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
380,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
381,381_0,COMPLETED,BoTorch,0.293787988422576029634569749760,339,120,False
382,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
383,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
384,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
385,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
386,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
387,387_0,COMPLETED,BoTorch,0.292752050168837429922064075072,306,231,False
388,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
389,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
390,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
391,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
392,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
393,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
394,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
395,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
396,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
397,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
398,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
399,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
400,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
401,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
402,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
403,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
404,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
405,405_0,COMPLETED,BoTorch,0.328986975397973946400043132599,100,25,True
406,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
407,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
408,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
409,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
410,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
411,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
412,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
413,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
414,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
415,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
416,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
417,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
418,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
419,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
420,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
421,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
422,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
423,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
424,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
425,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
426,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
427,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
428,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
429,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
430,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
431,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
432,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
433,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
434,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
435,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
436,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
437,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
438,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
439,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
440,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
441,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
442,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
443,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
444,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
445,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
446,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
447,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
448,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
449,36_0,RUNNING,BoTorch,,100,25,False
450,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
451,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
452,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
453,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
454,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
455,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
456,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
457,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
458,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
459,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
460,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
461,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
462,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
463,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
464,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
465,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
466,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
467,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
468,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
469,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
470,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
471,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
472,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
473,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
474,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
475,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
476,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
477,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
478,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
479,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
480,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
481,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
482,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
483,483_0,COMPLETED,BoTorch,0.292872648335745333625368402863,248,25,False
484,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
485,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
486,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
487,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
488,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
489,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
490,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
491,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
492,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
493,493_0,COMPLETED,BoTorch,0.282150265315967208046288305923,209,25,False
494,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
495,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
496,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
497,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
498,498_0,COMPLETED,BoTorch,0.269436806560540254018576433737,126,80,False
499,36_0,COMPLETED,BoTorch,0.264861312108055968472797303548,100,25,False
</pre>
<button class='copy_clipboard_button' onclick='copy_to_clipboard_from_id("tab_results_csv_table_pre")'> Copy raw data to clipboard</button>
<button onclick='download_as_file("tab_results_csv_table_pre", "results.csv")'> Download »results.csv« as file</button>
<script>
createTable(tab_results_csv_json, tab_results_headers_json, 'tab_results_csv_table');</script>
<h1> Errors</h1>
<button class='copy_clipboard_button' onclick='copy_to_clipboard_from_id("simple_pre_tab_tab_errors")'> Copy raw data to clipboard</button>
<button onclick='download_as_file("simple_pre_tab_tab_errors", "oo_errors.txt")'> Download »oo_errors.txt« as file</button>
<pre id='simple_pre_tab_tab_errors'><span style="background-color: black; color: white">
It seems like the search space was exhausted. You were able to get 0% of the jobs you requested (got: 0, requested: 500) after main ran</span></pre><button class='copy_clipboard_button' onclick='copy_to_clipboard_from_id("simple_pre_tab_tab_errors")'> Copy raw data to clipboard</button>
<button onclick='download_as_file("simple_pre_tab_tab_errors", "oo_errors.txt")'> Download »oo_errors.txt« as file</button>
<h1> CPU/RAM-Usage (main)</h1>
<div class='invert_in_dark_mode' id='mainWorkerCPURAM'></div><button class='copy_clipboard_button' onclick='copy_to_clipboard_from_id("pre_tab_main_worker_cpu_ram")'> Copy raw data to clipboard</button>
<button onclick='download_as_file("pre_tab_main_worker_cpu_ram", "cpu_ram_usage.csv")'> Download »cpu_ram_usage.csv« as file</button>
<pre id="pre_tab_main_worker_cpu_ram">timestamp,ram_usage_mb,cpu_usage_percent
1727795161,473.49609375,49.7
1727795161,473.52734375,50.5
1727795161,473.58984375,49.9
1727795161,473.58984375,54.2
1727795161,473.58984375,37.5
1727795161,473.58984375,50.3
1727795161,473.58984375,37.5
1727795210,478.2734375,49.8
1727795210,478.2734375,40.0
1727795210,478.2734375,49.9
1727795210,478.2734375,55.6
1727795211,478.28125,49.7
1727795211,478.28125,55.3
1727795211,478.28125,48.5
1727795211,478.28125,39.4
1727795213,478.28125,49.8
1727795213,478.28125,53.2
1727795213,478.28125,46.8
1727795213,478.28125,58.7
1727795214,478.28125,49.7
1727795214,478.28125,38.2
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1727795558,478.375,48.6
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1727795559,478.375,56.8
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1727795563,478.37890625,46.2
1727795563,478.37890625,52.7
1727795563,478.37890625,42.4
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1727795565,478.37890625,48.6
1727795565,478.37890625,58.1
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1727795570,478.37890625,49.7
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1727795573,478.37890625,57.8
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1727795769,479.7421875,49.9
1727795769,479.7421875,37.1
1727795769,479.7421875,52.4
1727795769,479.7421875,44.4
1727795771,479.7421875,49.9
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1727795776,479.7421875,39.4
1727795776,479.7421875,50.8
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1727795931,479.96875,48.7
1727795933,479.96875,49.9
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1727795935,479.96875,49.9
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1727796021,480.0859375,43.2
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1727796021,480.0859375,55.6
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1727796023,480.0859375,49.7
1727796023,480.0859375,42.4
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1727796025,480.0859375,56.8
1727796028,480.10546875,49.9
1727796028,480.10546875,53.2
1727796028,480.10546875,49.7
1727796028,480.10546875,44.1
1727796030,480.10546875,49.8
1727796030,480.10546875,54.3
1727796030,480.10546875,49.0
1727796030,480.10546875,41.2
1727796032,480.10546875,49.9
1727796032,480.10546875,35.3
1727796032,480.10546875,50.3
1727796032,480.10546875,55.6
1727796034,480.10546875,49.8
1727796034,480.10546875,55.3
1727796034,480.10546875,49.0
1727796034,480.10546875,52.5
1727796036,480.10546875,49.9
1727796036,480.10546875,37.1
1727796036,480.10546875,52.3
1727796036,480.10546875,37.5
1727796038,480.109375,49.9
1727796038,480.109375,37.1
1727796038,480.109375,50.7
1727796038,480.109375,55.6
1727796040,480.109375,49.8
1727796040,480.109375,52.3
1727796040,480.109375,48.7
1727796041,480.109375,55.8
1727796043,480.109375,49.9
1727796043,480.109375,54.3
1727796043,480.109375,50.6
1727796043,480.109375,38.7
1727796045,480.109375,49.9
1727796045,480.109375,56.5
1727796045,480.109375,48.7
1727796045,480.109375,56.5
1727796047,480.109375,49.8
1727796047,480.109375,56.3
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1727796047,480.109375,56.5
1727796049,480.109375,49.8
1727796049,480.109375,39.4
1727796049,480.109375,50.3
1727796049,480.109375,55.6
1727796051,480.109375,49.8
1727796051,480.109375,55.3
1727796051,480.109375,48.4
1727796051,480.109375,56.8
1727796053,480.109375,49.9
1727796053,480.109375,54.3
1727796053,480.109375,48.8
1727796053,480.109375,55.6
1727796056,480.109375,49.8
1727796056,480.109375,53.2
1727796056,480.109375,51.7
1727796056,480.109375,40.6
1727796058,480.109375,49.8
1727796058,480.109375,53.2
1727796058,480.109375,48.7
1727796058,480.109375,56.8
1727796060,480.109375,49.9
1727796060,480.109375,53.1
1727796060,480.109375,49.4
1727796060,480.109375,39.4
1727796062,480.109375,49.9
1727796062,480.109375,55.3
1727796062,480.109375,49.4
1727796062,480.109375,54.3
1727796064,480.109375,49.9
1727796064,480.109375,50.0
1727796064,480.109375,49.0
1727796064,480.109375,57.8
1727796067,480.109375,49.8
1727796067,480.109375,41.2
1727796067,480.109375,48.7
1727796067,480.109375,57.8
1727796069,480.109375,49.8
1727796069,480.109375,44.4
1727796069,480.109375,49.7
1727796069,480.109375,55.6
1727796071,480.109375,49.8
1727796071,480.109375,41.7
1727796071,480.109375,49.7
1727796071,480.109375,57.8
1727796073,480.109375,49.8
1727796073,480.109375,36.4
1727796073,480.109375,49.7
1727796073,480.109375,54.8
1727796075,480.109375,49.9
1727796075,480.109375,38.2
1727796075,480.109375,53.0
1727796075,480.109375,38.7
1727796077,480.109375,49.8
1727796077,480.109375,38.2
1727796077,480.109375,52.4
1727796077,480.109375,41.2
1727796079,480.109375,49.8
1727796079,480.109375,55.6
1727796079,480.109375,49.7
1727796079,480.109375,56.8
1727796082,480.109375,49.8
1727796082,480.109375,35.3
1727796082,480.109375,52.9
1727796082,480.109375,38.2
1727796084,480.109375,49.9
1727796084,480.109375,38.2
1727796084,480.109375,52.4
1727796084,480.109375,40.0
1727796086,480.109375,49.8
1727796086,480.109375,54.3
1727796086,480.109375,49.4
1727796086,480.109375,44.1
1727796088,480.109375,49.8
1727796088,480.109375,52.1
1727796088,480.109375,49.1
1727796088,480.109375,56.8
1727796090,480.109375,49.8
1727796090,480.109375,54.3
1727796090,480.109375,49.1
1727796090,480.109375,55.6
1727796092,480.109375,49.9
1727796092,480.109375,36.4
1727796092,480.109375,51.7
1727796092,480.109375,54.8
1727796094,480.109375,49.9
1727796094,480.109375,38.2
1727796094,480.109375,52.0
1727796094,480.109375,40.6
1727796096,480.109375,49.8
1727796096,480.109375,55.6
1727796096,480.109375,48.4
1727796096,480.109375,57.8
1727796099,480.21875,49.8
1727796099,480.21875,55.3
1727796099,480.21875,48.1
1727796099,480.21875,56.8
1727796101,480.21875,49.8
1727796101,480.21875,39.4
1727796101,480.21875,52.0
1727796101,480.21875,37.5
1727796103,480.21875,49.9
1727796103,480.21875,41.7
1727796103,480.21875,52.4
1727796103,480.21875,37.5
1727796105,480.21875,49.9
1727796105,480.21875,50.0
1727796105,480.21875,51.7
1727796105,480.21875,39.4
1727796107,480.21875,49.9
1727796107,480.21875,53.2
1727796107,480.21875,47.5
1727796107,480.21875,56.8
1727796109,480.21875,49.8
1727796109,480.21875,57.4
1727796109,480.21875,48.4
1727796109,480.21875,54.3
1727796112,480.25,49.9
1727796112,480.25,54.3
1727796112,480.25,50.6
1727796112,480.25,40.6
1727796114,480.25,49.9
1727796114,480.25,48.8
1727796114,480.25,49.4
1727796114,480.25,55.6
1727796116,480.25,49.8
1727796116,480.25,55.6
1727796116,480.25,51.1
1727796116,480.25,42.4
1727796118,480.25,49.9
1727796118,480.25,41.7
1727796118,480.25,51.2
1727796118,480.25,54.5
1727796120,480.25,49.9
1727796120,480.25,47.5
1727796120,480.25,49.1
1727796120,480.25,57.8
1727796123,480.25,49.9
1727796123,480.25,57.4
1727796123,480.25,48.4
1727796123,480.25,56.5
1727796125,480.25,49.8
1727796125,480.25,54.3
1727796125,480.25,49.5
1727796125,480.25,56.8
1727796127,480.25,49.8
1727796127,480.25,56.3
1727796127,480.25,51.7
1727796127,480.25,40.6
1727796129,480.25,49.8
1727796129,480.25,57.4
1727796129,480.25,47.8
1727796129,480.25,56.8
1727796131,480.25,49.8
1727796131,480.25,38.2
1727796131,480.25,51.7
1727796131,480.25,47.4
1727796133,480.25,49.9
1727796133,480.25,41.7
1727796133,480.25,51.7
1727796133,480.25,38.7
1727796135,480.25,49.9
1727796135,480.25,37.1
1727796135,480.25,51.1
1727796135,480.25,45.9
1727796137,480.25,49.8
1727796137,480.25,41.2
1727796137,480.25,52.1
1727796137,480.25,40.6
1727796139,480.25,49.9
1727796139,480.25,54.3
1727796139,480.25,49.5
1727796139,480.25,57.8
1727796142,480.25,49.8
1727796142,480.25,56.0
1727796142,480.25,49.4
1727796142,480.25,41.9
1727796144,480.25,49.9
1727796144,480.25,55.3
1727796144,480.25,51.1
1727796144,480.25,37.5
1727796146,480.25,49.8
1727796146,480.25,54.3
1727796146,480.25,47.5
1727796146,480.25,56.8
1727796148,480.25,49.8
1727796148,480.25,55.3
1727796148,480.25,47.5
1727796148,480.25,57.8
1727796150,480.25,49.8
1727796150,480.25,55.3
1727796150,480.25,50.6
1727796150,480.25,37.5
1727796152,480.25,49.9
1727796152,480.25,56.5
1727796152,480.25,46.9
1727796152,480.25,57.8
1727796154,480.25,49.9
1727796154,480.25,54.3
1727796154,480.25,50.0
1727796154,480.25,38.7
1727796156,480.25,49.9
1727796156,480.25,38.2
1727796156,480.25,51.4
1727796156,480.25,55.6
1727796158,480.26171875,49.8
1727796158,480.26171875,35.3
1727796159,480.26171875,50.0
1727796159,480.26171875,56.8
1727796161,480.26171875,49.8
1727796161,480.26171875,54.3
1727796161,480.26171875,49.7
1727796161,480.26171875,45.5
1727796163,480.26171875,49.8
1727796163,480.26171875,39.4
1727796163,480.26171875,51.7
1727796163,480.26171875,41.9
1727796165,480.26171875,49.9
1727796165,480.26171875,54.3
1727796165,480.26171875,48.5
1727796165,480.26171875,56.8
1727796167,480.26171875,49.8
1727796167,480.26171875,54.3
1727796167,480.26171875,50.6
1727796167,480.26171875,50.0
1727796169,480.26171875,49.8
1727796169,480.26171875,36.4
1727796169,480.26171875,51.4
1727796169,480.26171875,56.5
1727796171,480.26171875,49.9
1727796171,480.26171875,54.3
1727796171,480.26171875,50.6
1727796171,480.26171875,40.6
1727796173,480.26171875,49.8
1727796173,480.26171875,56.8
1727796173,480.26171875,50.0
1727796173,480.26171875,44.2
1727796175,480.26171875,49.9
1727796175,480.26171875,56.5
1727796175,480.26171875,47.8
1727796175,480.26171875,57.8
1727796177,480.26171875,49.8
1727796177,480.26171875,55.3
1727796177,480.26171875,47.5
1727796177,480.26171875,59.1
1727796179,480.26171875,49.8
1727796179,480.26171875,36.4
1727796179,480.26171875,51.4
1727796179,480.26171875,56.8
1727796182,480.26171875,49.9
1727796182,480.26171875,38.2
1727796182,480.26171875,51.7
1727796182,480.26171875,38.7
1727796184,480.26171875,49.9
1727796184,480.26171875,50.0
1727796184,480.26171875,48.2
1727796184,480.26171875,56.8
1727796186,480.26171875,49.8
1727796186,480.26171875,54.2
1727796186,480.26171875,46.6
1727796186,480.26171875,57.8
1727796188,480.26171875,49.9
1727796188,480.26171875,54.3
1727796188,480.26171875,47.5
1727796188,480.26171875,56.5
1727796190,480.26171875,49.8
1727796190,480.26171875,54.3
1727796190,480.26171875,50.6
1727796190,480.26171875,41.9
1727796192,480.26171875,49.8
1727796192,480.26171875,54.3
1727796192,480.26171875,49.7
1727796192,480.26171875,47.2
1727796194,480.26171875,49.9
1727796194,480.26171875,55.3
1727796194,480.26171875,49.7
1727796194,480.26171875,40.6
1727796197,480.26171875,49.8
1727796197,480.26171875,54.2
1727796197,480.26171875,47.6
1727796197,480.26171875,54.8
1727796199,480.26171875,49.8
1727796199,480.26171875,38.2
1727796199,480.26171875,51.1
1727796199,480.26171875,57.8
1727796201,480.26171875,49.8
1727796201,480.26171875,55.6
1727796201,480.26171875,49.5
1727796201,480.26171875,41.9
1727796203,480.26171875,49.7
1727796203,480.26171875,56.2
1727796203,480.26171875,49.7
1727796203,480.26171875,40.6
1727796205,480.26171875,49.9
1727796205,480.26171875,55.6
1727796205,480.26171875,49.7
1727796205,480.26171875,42.4
1727796207,480.26171875,49.8
1727796207,480.26171875,54.3
1727796207,480.26171875,50.6
1727796207,480.26171875,50.0
1727796209,480.26171875,49.8
1727796209,480.26171875,55.1
1727796209,480.26171875,50.0
1727796209,480.26171875,38.7
1727796211,480.26171875,49.8
1727796211,480.26171875,53.2
1727796211,480.26171875,49.5
1727796211,480.26171875,53.5
1727796213,480.26171875,49.9
1727796213,480.26171875,38.2
1727796213,480.26171875,49.4
1727796213,480.26171875,57.8
1727796215,480.26171875,49.8
1727796215,480.26171875,38.2
1727796215,480.26171875,52.3
1727796215,480.26171875,40.0
1727796218,480.35546875,49.8
1727796218,480.35546875,54.3
1727796218,480.35546875,48.6
1727796218,480.35546875,54.3
1727796220,480.35546875,49.9
1727796220,480.35546875,54.3
1727796220,480.35546875,49.7
1727796220,480.35546875,37.5
1727796222,480.35546875,49.9
1727796222,480.35546875,54.3
1727796222,480.35546875,49.5
1727796222,480.35546875,38.7
1727796224,480.35546875,49.9
1727796224,480.35546875,44.7
1727796224,480.35546875,49.7
1727796224,480.35546875,56.5
1727796226,480.35546875,49.8
1727796226,480.35546875,54.2
1727796226,480.35546875,49.7
1727796226,480.35546875,40.6
1727796229,480.39453125,49.9
1727796229,480.39453125,54.3
1727796229,480.39453125,49.2
1727796229,480.39453125,57.8
1727796231,480.39453125,49.8
1727796231,480.39453125,55.6
1727796231,480.39453125,49.7
1727796231,480.39453125,39.4
1727796233,480.39453125,49.8
1727796233,480.39453125,55.6
1727796233,480.39453125,49.7
1727796233,480.39453125,38.7
1727796235,480.39453125,49.9
1727796235,480.39453125,54.3
1727796235,480.39453125,49.2
1727796235,480.39453125,39.4
1727796237,480.39453125,49.9
1727796237,480.39453125,55.6
1727796237,480.39453125,50.0
1727796237,480.39453125,40.6
1727796239,480.39453125,49.8
1727796239,480.39453125,51.0
1727796239,480.39453125,49.4
1727796239,480.39453125,58.3
1727796241,480.39453125,49.9
1727796241,480.39453125,55.6
1727796241,480.39453125,50.0
1727796241,480.39453125,56.8
1727796243,480.39453125,49.8
1727796243,480.39453125,55.3
1727796243,480.39453125,49.4
1727796243,480.39453125,55.6
1727796245,480.39453125,49.8
1727796245,480.39453125,55.6
1727796245,480.39453125,48.4
1727796245,480.39453125,56.8
1727796247,480.39453125,49.8
1727796247,480.39453125,38.2
1727796247,480.39453125,50.3
1727796247,480.39453125,56.8
1727796249,480.39453125,49.8
1727796249,480.39453125,54.3
1727796249,480.39453125,49.5
1727796249,480.39453125,52.5
1727796251,480.39453125,49.8
1727796251,480.39453125,37.5
1727796251,480.39453125,50.3
1727796251,480.39453125,56.8
1727796254,480.39453125,49.9
1727796254,480.39453125,55.3
1727796254,480.39453125,49.2
1727796254,480.39453125,58.7
1727796256,480.39453125,49.8
1727796256,480.39453125,52.3
1727796256,480.39453125,50.3
1727796256,480.39453125,39.4
1727796258,480.39453125,49.8
1727796258,480.39453125,47.5
1727796258,480.39453125,48.9
1727796258,480.39453125,55.8
1727796260,480.39453125,49.8
1727796260,480.39453125,54.3
1727796260,480.39453125,49.2
1727796260,480.39453125,57.8
1727796262,480.39453125,49.8
1727796262,480.39453125,57.4
1727796262,480.39453125,48.9
1727796262,480.39453125,57.8
1727796264,480.39453125,49.8
1727796264,480.39453125,56.2
1727796264,480.39453125,48.6
1727796264,480.39453125,55.6
1727796266,480.39453125,49.8
1727796266,480.39453125,38.2
1727796266,480.39453125,49.5
1727796266,480.39453125,55.6
1727796268,480.39453125,49.9
1727796268,480.39453125,54.3
1727796268,480.39453125,48.7
1727796268,480.39453125,54.3
1727796270,480.39453125,49.8
1727796270,480.39453125,54.3
1727796270,480.39453125,48.9
1727796270,480.39453125,56.5
1727796272,480.39453125,49.9
1727796272,480.39453125,55.6
1727796272,480.39453125,48.9
1727796272,480.39453125,57.8
1727796274,480.39453125,49.9
1727796274,480.39453125,38.2
1727796274,480.39453125,51.3
1727796274,480.39453125,39.4
1727796276,480.39453125,49.8
1727796276,480.39453125,54.3
1727796277,480.39453125,51.2
1727796277,480.39453125,38.7
1727796279,480.3984375,49.9
1727796279,480.3984375,53.2
1727796279,480.3984375,47.8
1727796279,480.3984375,55.6
1727796281,480.3984375,49.8
1727796281,480.3984375,55.6
1727796281,480.3984375,48.4
1727796281,480.3984375,57.8
1727796283,480.3984375,49.8
1727796283,480.3984375,36.4
1727796283,480.3984375,49.5
1727796283,480.3984375,56.8
1727796285,480.3984375,49.9
1727796285,480.3984375,47.4
1727796285,480.3984375,49.7
1727796285,480.3984375,53.7
1727796287,480.3984375,49.8
1727796287,480.3984375,54.3
1727796287,480.3984375,49.5
1727796287,480.3984375,55.6
1727796289,480.3984375,49.8
1727796289,480.3984375,55.6
1727796289,480.3984375,49.7
1727796289,480.3984375,45.9
1727796291,480.3984375,49.9
1727796291,480.3984375,44.7
1727796291,480.3984375,52.0
1727796291,480.3984375,38.7
1727796293,480.3984375,49.8
1727796293,480.3984375,56.5
1727796293,480.3984375,51.0
1727796293,480.3984375,40.6
1727796296,480.41015625,49.9
1727796296,480.41015625,38.2
1727796296,480.41015625,51.5
1727796296,480.41015625,51.1
1727796298,480.41015625,49.8
1727796298,480.41015625,54.2
1727796298,480.41015625,48.6
1727796298,480.41015625,58.7
1727796300,480.41015625,49.9
1727796300,480.41015625,54.3
1727796300,480.41015625,47.9
1727796300,480.41015625,56.8
1727796302,480.41015625,49.9
1727796302,480.41015625,55.3
1727796302,480.41015625,48.9
1727796302,480.41015625,56.8
1727796304,480.41015625,49.8
1727796304,480.41015625,37.8
1727796304,480.41015625,51.0
1727796304,480.41015625,56.5
1727796306,480.41015625,49.8
1727796306,480.41015625,55.3
1727796306,480.41015625,48.1
1727796306,480.41015625,55.6
1727796308,480.41015625,49.8
1727796308,480.41015625,46.2
1727796308,480.41015625,51.3
1727796308,480.41015625,42.4
1727796310,480.41015625,49.8
1727796310,480.41015625,50.0
1727796310,480.41015625,50.7
1727796310,480.41015625,54.3
1727796313,480.41015625,49.8
1727796313,480.41015625,54.3
1727796313,480.41015625,50.2
1727796313,480.41015625,39.4
1727796315,480.41015625,49.8
1727796315,480.41015625,55.3
1727796315,480.41015625,50.5
1727796315,480.41015625,38.7
1727796317,480.41015625,49.9
1727796317,480.41015625,39.4
1727796317,480.41015625,51.3
1727796317,480.41015625,48.8
1727796319,480.41015625,49.8
1727796319,480.41015625,42.9
1727796319,480.41015625,51.0
1727796319,480.41015625,40.6
1727796321,480.41015625,49.8
1727796321,480.41015625,54.3
1727796321,480.41015625,50.5
1727796321,480.41015625,45.9
1727796323,480.41015625,49.9
1727796323,480.41015625,38.2
1727796323,480.41015625,51.5
1727796323,480.41015625,40.6
1727796325,480.41015625,49.9
1727796325,480.41015625,39.4
1727796325,480.41015625,50.7
1727796325,480.41015625,47.4
1727796327,480.41015625,49.8
1727796327,480.41015625,39.4
1727796327,480.41015625,50.7
1727796327,480.41015625,54.3
1727796329,480.41015625,49.8
1727796329,480.41015625,56.5
1727796329,480.41015625,51.0
1727796329,480.41015625,39.4
1727796331,480.41015625,49.9
1727796331,480.41015625,38.2
1727796331,480.41015625,50.2
1727796331,480.41015625,56.8
1727796334,480.41015625,49.9
1727796334,480.41015625,54.3
1727796334,480.41015625,50.2
1727796334,480.41015625,39.4
1727796336,480.41015625,49.8
1727796336,480.41015625,54.2
1727796336,480.41015625,49.8
1727796336,480.41015625,40.6
1727796338,480.41015625,49.8
1727796338,480.41015625,56.5
1727796338,480.41015625,50.0
1727796338,480.41015625,40.6
1727796340,480.47265625,49.8
1727796340,480.47265625,54.3
1727796340,480.47265625,50.2
1727796340,480.47265625,55.6
1727796342,480.47265625,49.8
1727796342,480.47265625,39.4
1727796342,480.47265625,50.5
1727796342,480.47265625,54.3
1727796344,480.47265625,49.8
1727796344,480.47265625,54.3
1727796344,480.47265625,51.0
1727796344,480.47265625,41.2
1727796346,480.47265625,49.9
1727796346,480.47265625,38.2
1727796346,480.47265625,51.0
1727796346,480.47265625,53.1
1727796348,480.47265625,49.8
1727796348,480.47265625,55.3
1727796348,480.47265625,51.0
1727796348,480.47265625,38.7
1727796351,480.47265625,49.9
1727796351,480.47265625,51.0
1727796351,480.47265625,50.7
1727796351,480.47265625,57.8
1727796353,480.47265625,49.8
1727796353,480.47265625,38.2
1727796353,480.47265625,50.7
1727796353,480.47265625,56.8
1727796355,480.47265625,49.8
1727796355,480.47265625,37.1
1727796355,480.47265625,50.5
1727796355,480.47265625,56.5
1727796357,480.47265625,49.8
1727796357,480.47265625,48.8
1727796357,480.47265625,49.3
1727796357,480.47265625,55.6
1727796359,480.47265625,49.8
1727796359,480.47265625,54.3
1727796359,480.47265625,49.8
1727796359,480.47265625,40.6
1727796361,480.47265625,49.9
1727796361,480.47265625,39.4
1727796361,480.47265625,50.5
1727796361,480.47265625,57.4
1727796363,480.47265625,49.9
1727796363,480.47265625,55.3
1727796363,480.47265625,49.8
1727796363,480.47265625,38.7
1727796365,480.47265625,49.9
1727796365,480.47265625,55.1
1727796365,480.47265625,50.0
1727796365,480.47265625,39.4
1727796367,480.47265625,49.9
1727796367,480.47265625,54.3
1727796367,480.47265625,50.2
1727796367,480.47265625,55.6
1727796369,480.47265625,49.8
1727796369,480.47265625,39.4
1727796369,480.47265625,50.0
1727796369,480.47265625,59.6
1727796371,480.47265625,49.8
1727796371,480.47265625,48.8
1727796371,480.47265625,51.4
1727796371,480.47265625,39.4
1727796374,480.47265625,49.9
1727796374,480.47265625,54.2
1727796374,480.47265625,48.8
1727796374,480.47265625,55.6
1727796376,480.47265625,49.8
1727796376,480.47265625,56.5
1727796376,480.47265625,50.0
1727796376,480.47265625,38.7
1727796378,480.47265625,49.8
1727796378,480.47265625,54.3
1727796378,480.47265625,47.9
1727796378,480.47265625,56.8
1727796380,480.47265625,49.8
1727796380,480.47265625,58.3
1727796380,480.47265625,49.0
1727796380,480.47265625,48.7
1727796382,480.47265625,49.8
1727796382,480.47265625,45.0
1727796382,480.47265625,51.4
1727796382,480.47265625,40.6
1727796384,480.47265625,49.9
1727796384,480.47265625,55.3
1727796384,480.47265625,49.5
1727796384,480.47265625,56.8
1727796386,480.47265625,49.8
1727796386,480.47265625,42.1
1727796386,480.47265625,50.0
1727796386,480.47265625,57.8
1727796388,480.47265625,49.8
1727796388,480.47265625,56.5
1727796388,480.47265625,50.0
1727796388,480.47265625,40.6
1727796390,480.47265625,49.8
1727796390,480.47265625,55.3
1727796390,480.47265625,49.3
1727796390,480.47265625,57.8
1727796392,480.47265625,49.9
1727796392,480.47265625,54.3
1727796392,480.47265625,49.8
1727796392,480.47265625,40.6
1727796394,480.47265625,49.9
1727796394,480.47265625,55.3
1727796394,480.47265625,49.5
1727796394,480.47265625,45.9
1727796396,480.47265625,49.8
1727796396,480.47265625,55.3
1727796396,480.47265625,50.5
1727796396,480.47265625,41.2
1727796399,480.4765625,49.9
1727796399,480.4765625,43.2
1727796399,480.4765625,49.0
1727796399,480.4765625,55.6
1727796401,480.4765625,49.9
1727796401,480.4765625,51.0
1727796401,480.4765625,48.8
1727796401,480.4765625,42.9
1727796403,480.4765625,49.8
1727796403,480.4765625,54.3
1727796403,480.4765625,49.5
1727796403,480.4765625,40.6
1727796405,480.4765625,49.8
1727796405,480.4765625,56.2
1727796405,480.4765625,49.8
1727796405,480.4765625,40.6
1727796407,480.4765625,49.8
1727796407,480.4765625,55.3
1727796407,480.4765625,49.3
1727796407,480.4765625,59.6
1727796409,480.4765625,49.8
1727796409,480.4765625,54.3
1727796409,480.4765625,49.3
1727796409,480.4765625,55.6
1727796411,480.4765625,49.8
1727796411,480.4765625,54.3
1727796411,480.4765625,47.9
1727796411,480.4765625,57.8
1727796413,480.4765625,49.9
1727796413,480.4765625,38.2
1727796413,480.4765625,52.0
1727796413,480.4765625,38.7
1727796416,480.4765625,49.9
1727796416,480.4765625,55.6
1727796416,480.4765625,49.3
1727796416,480.4765625,56.5
1727796418,480.4765625,49.8
1727796418,480.4765625,54.3
1727796418,480.4765625,49.0
1727796418,480.4765625,47.2
1727796420,480.4765625,49.9
1727796420,480.4765625,56.3
1727796420,480.4765625,49.0
1727796420,480.4765625,56.5
1727796422,480.4765625,49.9
1727796422,480.4765625,57.4
1727796422,480.4765625,49.3
1727796422,480.4765625,40.6
1727796424,480.4765625,49.9
1727796424,480.4765625,50.0
1727796424,480.4765625,49.3
1727796424,480.4765625,58.7
1727796426,480.4765625,49.8
1727796426,480.4765625,56.5
1727796426,480.4765625,49.8
1727796426,480.4765625,40.6
1727796428,480.4765625,49.8
1727796428,480.4765625,41.2
1727796428,480.4765625,51.8
1727796428,480.4765625,40.0
1727796430,480.4765625,49.8
1727796430,480.4765625,48.8
1727796430,480.4765625,50.9
1727796430,480.4765625,38.7
1727796432,480.4765625,49.9
1727796432,480.4765625,38.2
1727796432,480.4765625,52.5
1727796432,480.4765625,39.4
1727796434,480.4765625,49.9
1727796434,480.4765625,37.1
1727796434,480.4765625,52.0
1727796434,480.4765625,41.2
1727796436,480.4765625,49.9
1727796436,480.4765625,37.5
1727796436,480.4765625,51.6
1727796436,480.4765625,39.4
1727796438,480.4765625,49.9
1727796438,480.4765625,38.2
1727796438,480.4765625,52.3
1727796438,480.4765625,40.6
1727796441,480.4765625,49.8
1727796441,480.4765625,55.6
1727796441,480.4765625,48.8
1727796441,480.4765625,55.6
1727796443,480.4765625,49.8
1727796443,480.4765625,50.0
1727796443,480.4765625,49.5
1727796443,480.4765625,54.5
1727796445,480.4765625,49.9
1727796445,480.4765625,54.3
1727796445,480.4765625,49.3
1727796445,480.4765625,55.6
1727796447,480.4765625,49.8
1727796447,480.4765625,54.3
1727796447,480.4765625,49.0
1727796447,480.4765625,55.6
1727796449,480.4765625,49.9
1727796449,480.4765625,38.2
1727796449,480.4765625,51.1
1727796449,480.4765625,40.6
1727796451,480.4765625,49.9
1727796451,480.4765625,54.2
1727796451,480.4765625,49.3
1727796451,480.4765625,57.8
1727796453,480.4765625,49.8
1727796453,480.4765625,56.5
1727796453,480.4765625,48.4
1727796453,480.4765625,56.8
1727796455,480.4765625,49.8
1727796455,480.4765625,53.2
1727796455,480.4765625,49.1
1727796455,480.4765625,58.1
1727796457,480.4765625,49.8
1727796457,480.4765625,54.2
1727796457,480.4765625,49.5
1727796457,480.4765625,43.2
1727796459,480.4765625,49.8
1727796459,480.4765625,54.3
1727796459,480.4765625,48.5
1727796459,480.4765625,50.0
1727796461,480.4765625,49.8
1727796461,480.4765625,55.3
1727796461,480.4765625,48.8
1727796461,480.4765625,57.8
1727796464,480.4765625,49.9
1727796464,480.4765625,57.4
1727796464,480.4765625,48.3
1727796464,480.4765625,56.8
1727796466,480.4765625,49.8
1727796466,480.4765625,55.6
1727796466,480.4765625,49.0
1727796466,480.4765625,41.2
1727796468,480.4765625,49.8
1727796468,480.4765625,54.2
1727796468,480.4765625,48.3
1727796468,480.4765625,59.1
1727796470,480.4765625,49.8
1727796470,480.4765625,43.2
1727796470,480.4765625,51.1
1727796470,480.4765625,37.5
1727796472,480.4765625,49.8
1727796472,480.4765625,54.3
1727796472,480.4765625,48.6
1727796472,480.4765625,58.7
1727796474,480.4765625,49.8
1727796474,480.4765625,54.3
1727796474,480.4765625,51.4
1727796474,480.4765625,42.9
1727796476,480.4765625,49.8
1727796476,480.4765625,54.3
1727796476,480.4765625,50.9
1727796476,480.4765625,40.6
1727796478,480.4765625,49.8
1727796478,480.4765625,39.5
1727796478,480.4765625,51.1
1727796478,480.4765625,51.2
1727796480,480.4765625,49.9
1727796480,480.4765625,39.4
1727796480,480.4765625,50.4
1727796480,480.4765625,57.8
1727796482,480.4765625,49.8
1727796482,480.4765625,54.2
1727796482,480.4765625,51.1
1727796482,480.4765625,39.4
1727796484,480.4765625,49.9
1727796484,480.4765625,40.0
1727796484,480.4765625,51.1
1727796484,480.4765625,52.4
1727796486,480.4765625,49.8
1727796486,480.4765625,55.6
1727796486,480.4765625,48.4
1727796486,480.4765625,57.8
1727796488,480.4765625,49.8
1727796488,480.4765625,41.2
1727796488,480.4765625,50.9
1727796488,480.4765625,44.4
1727796491,480.4765625,49.8
1727796491,480.4765625,39.4
1727796491,480.4765625,51.1
1727796491,480.4765625,41.9
1727796493,480.4765625,49.8
1727796493,480.4765625,44.7
1727796493,480.4765625,51.6
1727796493,480.4765625,40.6
1727796495,480.4765625,49.9
1727796495,480.4765625,39.4
1727796495,480.4765625,51.6
1727796495,480.4765625,37.5
1727796497,480.4765625,49.9
1727796497,480.4765625,38.2
1727796497,480.4765625,51.3
1727796497,480.4765625,39.4
1727796499,480.4765625,49.8
1727796499,480.4765625,53.2
1727796499,480.4765625,48.6
1727796499,480.4765625,56.8
1727796501,480.4765625,49.8
1727796501,480.4765625,54.3
1727796501,480.4765625,50.7
1727796501,480.4765625,40.6
1727796503,480.4765625,49.9
1727796503,480.4765625,37.5
1727796503,480.4765625,49.8
1727796503,480.4765625,56.8
1727796505,480.4765625,49.8
1727796505,480.4765625,55.6
1727796505,480.4765625,50.2
1727796505,480.4765625,40.6
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1727796507,480.4765625,55.3
1727796507,480.4765625,47.9
1727796507,480.4765625,55.6
1727796509,480.4765625,49.8
1727796509,480.4765625,39.4
1727796509,480.4765625,50.9
1727796509,480.4765625,42.4
1727796511,480.4765625,49.9
1727796511,480.4765625,47.5
1727796511,480.4765625,52.0
1727796511,480.4765625,38.7
1727796513,480.4765625,49.9
1727796513,480.4765625,36.4
1727796513,480.4765625,51.6
1727796513,480.4765625,39.4
1727796515,480.4765625,49.9
1727796515,480.4765625,52.4
1727796515,480.4765625,49.8
1727796515,480.4765625,51.3
1727796517,480.4765625,49.8
1727796517,480.4765625,39.4
1727796517,480.4765625,51.1
1727796517,480.4765625,55.6
1727796519,480.4765625,49.8
1727796519,480.4765625,47.4
1727796520,480.4765625,50.7
1727796520,480.4765625,39.4
1727796522,480.4765625,49.8
1727796522,480.4765625,42.9
1727796522,480.4765625,51.1
1727796522,480.4765625,38.7
1727796524,480.4765625,49.9
1727796524,480.4765625,54.3
1727796524,480.4765625,50.2
1727796524,480.4765625,42.4
1727796526,480.4765625,49.8
1727796526,480.4765625,55.3
1727796526,480.4765625,50.2
1727796526,480.4765625,36.4
1727796528,480.4765625,49.9
1727796528,480.4765625,39.4
1727796528,480.4765625,50.2
1727796528,480.4765625,56.5
1727796530,480.4765625,49.8
1727796530,480.4765625,45.9
1727796530,480.4765625,50.9
1727796530,480.4765625,40.6
1727796532,480.4765625,49.8
1727796532,480.4765625,55.6
1727796532,480.4765625,50.7
1727796532,480.4765625,39.4
1727796534,480.4765625,49.9
1727796534,480.4765625,52.1
1727796534,480.4765625,48.1
1727796534,480.4765625,56.8
1727796536,480.4765625,49.8
1727796536,480.4765625,54.3
1727796536,480.4765625,49.8
1727796536,480.4765625,55.6
1727796538,480.4765625,49.8
1727796538,480.4765625,55.3
1727796538,480.4765625,50.2
1727796538,480.4765625,40.6
1727796540,480.4765625,49.9
1727796540,480.4765625,48.8
1727796540,480.4765625,49.5
1727796540,480.4765625,58.7
1727796542,480.4765625,49.8
1727796542,480.4765625,55.6
1727796542,480.4765625,48.9
1727796542,480.4765625,48.6
1727796544,480.4765625,49.9
1727796544,480.4765625,56.5
1727796544,480.4765625,50.0
1727796544,480.4765625,42.9
1727796546,480.4765625,49.8
1727796546,480.4765625,38.2
1727796546,480.4765625,50.7
1727796546,480.4765625,55.6
1727796549,480.4765625,49.8
1727796549,480.4765625,36.4
1727796549,480.4765625,51.1
1727796549,480.4765625,56.5
1727796551,480.4765625,49.8
1727796551,480.4765625,41.2
1727796551,480.4765625,50.7
1727796551,480.4765625,52.4
1727796553,480.4765625,49.8
1727796553,480.4765625,54.3
1727796553,480.4765625,51.1
1727796553,480.4765625,37.5
1727796555,480.4765625,49.8
1727796555,480.4765625,55.6
1727796555,480.4765625,50.4
1727796555,480.4765625,40.6
1727796557,480.4765625,49.8
1727796557,480.4765625,55.3
1727796557,480.4765625,50.4
1727796557,480.4765625,39.4
1727796559,480.4765625,49.8
1727796559,480.4765625,39.4
1727796559,480.4765625,50.2
1727796559,480.4765625,57.8
1727796561,480.4765625,49.8
1727796561,480.4765625,53.2
1727796561,480.4765625,49.8
1727796561,480.4765625,56.5
1727796563,480.4765625,49.8
1727796563,480.4765625,53.3
1727796563,480.4765625,50.0
1727796563,480.4765625,37.5
1727796679,530.8828125,50.1
1727796679,530.8828125,54.3
1727796679,530.8828125,49.1
1727796679,530.8828125,56.8
1727796680,530.8828125,49.8
1727796680,530.8828125,56.5
1727796680,530.8828125,48.9
1727796680,530.8828125,50.0
1727796682,530.8828125,49.8
1727796682,530.8828125,36.4
1727796682,530.8828125,52.0
1727796682,530.8828125,38.7
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1727796864,530.8828125,47.5
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1727796868,530.8828125,40.6
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1727796871,530.8828125,49.6
1727796871,530.8828125,57.8
1727796873,530.8828125,49.8
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1727796873,530.8828125,48.9
1727796873,530.8828125,57.8
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1727796874,530.8828125,56.5
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1727796874,530.8828125,55.6
1727796876,530.8828125,49.8
1727796876,530.8828125,55.3
1727796876,530.8828125,49.6
1727796876,530.8828125,44.1
1727796878,530.8828125,49.8
1727796878,530.8828125,54.3
1727796878,530.8828125,48.3
1727796878,530.8828125,55.6
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1727796879,530.8828125,42.9
1727796879,530.8828125,49.6
1727796879,530.8828125,55.6
1727796881,530.8828125,49.8
1727796881,530.8828125,37.1
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1727796881,530.8828125,37.5
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1727796883,530.8828125,56.3
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1727796885,530.8828125,42.9
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1727796886,530.8828125,51.1
1727796886,530.8828125,51.1
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1727796936,530.8828125,40.6
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1727796940,530.8828125,48.9
1727796940,530.8828125,56.5
1727796942,530.8828125,49.8
1727796942,530.8828125,36.4
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1727796943,530.8828125,58.7
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1727796945,530.8828125,52.2
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1727796947,530.8828125,54.3
1727796947,530.8828125,50.6
1727796947,530.8828125,47.2
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1727796948,530.8828125,49.4
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1727796950,530.8828125,53.2
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1727796960,530.8828125,49.8
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1727796962,530.8828125,45.7
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1727796968,530.8828125,49.1
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1727796972,530.8828125,55.3
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1727796974,530.8828125,41.2
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1727796975,530.8828125,55.6
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1727796987,530.8828125,56.5
1727796987,530.8828125,49.1
1727796987,530.8828125,41.2
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1727796989,530.8828125,52.0
1727796989,530.8828125,38.7
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1727797017,530.8828125,40.6
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1727797024,530.8828125,49.8
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1727797027,530.8828125,40.6
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1727797029,530.8828125,48.9
1727797029,530.8828125,44.1
1727797031,530.8828125,49.8
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1727797031,530.8828125,56.8
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1727797036,530.8828125,49.8
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1727797044,530.8828125,39.4
1727797044,530.8828125,51.6
1727797044,530.8828125,40.6
1727797046,530.8828125,49.8
1727797046,530.8828125,37.1
1727797046,530.8828125,51.6
1727797046,530.8828125,40.6
1727797048,530.8828125,49.8
1727797048,530.8828125,54.3
1727797048,530.8828125,49.4
1727797048,530.8828125,56.8
1727797049,530.8828125,49.8
1727797049,530.8828125,46.3
1727797049,530.8828125,49.6
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1727797051,530.8828125,49.8
1727797051,530.8828125,47.4
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1727797059,530.8828125,55.3
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1727797059,530.8828125,58.7
1727797061,530.8828125,49.8
1727797061,530.8828125,39.4
1727797061,530.8828125,51.4
1727797061,530.8828125,40.6
1727797063,530.8828125,49.8
1727797063,530.8828125,38.2
1727797063,530.8828125,51.2
1727797063,530.8828125,39.4
1727797064,530.8828125,49.8
1727797064,530.8828125,56.5
1727797064,530.8828125,49.2
1727797064,530.8828125,55.6
1727797066,530.8828125,49.8
1727797066,530.8828125,40.0
1727797066,530.8828125,51.2
1727797066,530.8828125,42.4
1727797068,530.8828125,49.8
1727797068,530.8828125,36.4
1727797068,530.8828125,50.4
1727797068,530.8828125,55.6
1727797069,530.8828125,49.8
1727797069,530.8828125,55.3
1727797069,530.8828125,49.1
1727797069,530.8828125,57.8
1727797071,530.8828125,49.8
1727797071,530.8828125,38.9
1727797071,530.8828125,51.2
1727797071,530.8828125,40.6
1727797073,530.8828125,49.8
1727797073,530.8828125,54.3
1727797073,530.8828125,48.7
1727797073,530.8828125,56.5
1727797074,530.8828125,49.8
1727797074,530.8828125,54.3
1727797074,530.8828125,48.7
1727797074,530.8828125,57.4
1727797076,530.8828125,49.8
1727797076,530.8828125,55.3
1727797076,530.8828125,50.8
1727797076,530.8828125,38.7
1727797078,530.8828125,49.8
1727797078,530.8828125,40.0
1727797078,530.8828125,51.4
1727797078,530.8828125,39.4
1727797079,530.8828125,49.8
1727797079,530.8828125,53.2
1727797079,530.8828125,50.6
1727797079,530.8828125,40.6
1727797081,530.8828125,49.8
1727797081,530.8828125,54.3
1727797081,530.8828125,49.2
1727797081,530.8828125,56.8
1727797083,530.8828125,49.8
1727797083,530.8828125,54.3
1727797083,530.8828125,50.8
1727797083,530.8828125,40.6
1727797084,530.8828125,49.8
1727797085,530.8828125,36.4
1727797085,530.8828125,51.4
1727797085,530.8828125,52.4
1727797086,530.8828125,49.8
1727797086,530.8828125,54.3
1727797086,530.8828125,49.4
1727797086,530.8828125,56.5
1727797088,530.8828125,49.8
1727797088,530.8828125,55.3
1727797088,530.8828125,48.9
1727797088,530.8828125,56.5
1727797090,530.8828125,49.8
1727797090,530.8828125,55.3
1727797090,530.8828125,48.7
1727797090,530.8828125,55.6
1727797091,530.8828125,49.8
1727797091,530.8828125,38.2
1727797091,530.8828125,51.6
1727797091,530.8828125,40.6
1727797093,530.8828125,49.8
1727797093,530.8828125,50.0
1727797093,530.8828125,50.8
1727797093,530.8828125,37.5
1727797095,530.8828125,49.8
1727797095,530.8828125,55.6
1727797095,530.8828125,50.6
1727797095,530.8828125,39.4
1727797096,530.8828125,49.8
1727797096,530.8828125,38.2
1727797096,530.8828125,51.6
1727797096,530.8828125,42.4
1727797098,530.8828125,49.8
1727797098,530.8828125,54.2
1727797098,530.8828125,48.9
1727797098,530.8828125,58.7
1727797100,530.8828125,49.8
1727797100,530.8828125,54.3
1727797100,530.8828125,48.3
1727797100,530.8828125,57.4
1727797101,530.8828125,49.8
1727797101,530.8828125,43.2
1727797101,530.8828125,51.0
1727797101,530.8828125,43.7
1727797103,530.8828125,49.8
1727797103,530.8828125,54.2
1727797103,530.8828125,49.4
1727797103,530.8828125,56.8
1727797105,530.8828125,49.8
1727797105,530.8828125,55.3
1727797105,530.8828125,49.1
1727797105,530.8828125,54.8
1727797106,530.8828125,49.8
1727797106,530.8828125,37.5
1727797106,530.8828125,51.6
1727797106,530.8828125,40.6
1727797108,530.8828125,49.8
1727797108,530.8828125,55.3
1727797108,530.8828125,49.4
1727797108,530.8828125,55.6
1727797110,530.8828125,49.8
1727797110,530.8828125,55.3
1727797110,530.8828125,48.3
1727797110,530.8828125,55.6
1727797111,530.8828125,49.8
1727797111,530.8828125,52.1
1727797111,530.8828125,49.6
1727797111,530.8828125,47.2
1727797113,530.8828125,49.8
1727797113,530.8828125,54.3
1727797113,530.8828125,50.0
1727797113,530.8828125,42.4
1727797115,530.8828125,49.8
1727797115,530.8828125,37.8
1727797115,530.8828125,50.6
1727797115,530.8828125,55.6
1727797117,530.8828125,49.8
1727797117,530.8828125,40.0
1727797117,530.8828125,51.2
1727797117,530.8828125,39.4
1727797118,530.8828125,49.8
1727797118,530.8828125,35.3
1727797118,530.8828125,49.8
1727797118,530.8828125,55.6
1727797120,530.8828125,49.8
1727797120,530.8828125,38.2
1727797120,530.8828125,51.0
1727797120,530.8828125,56.5
1727797122,530.8828125,49.8
1727797122,530.8828125,55.3
1727797122,530.8828125,49.1
1727797122,530.8828125,57.8
1727797123,530.8828125,49.8
1727797123,530.8828125,46.2
1727797123,530.8828125,49.8
1727797123,530.8828125,56.8
1727797125,530.8828125,49.8
1727797125,530.8828125,52.2
1727797125,530.8828125,49.6
1727797125,530.8828125,56.8
1727797127,530.8828125,49.8
1727797127,530.8828125,55.6
1727797127,530.8828125,48.7
1727797127,530.8828125,57.8
1727797128,530.8828125,49.8
1727797128,530.8828125,48.8
1727797128,530.8828125,49.6
1727797128,530.8828125,56.8
1727797130,530.8828125,49.8
1727797130,530.8828125,39.4
1727797130,530.8828125,52.0
1727797130,530.8828125,38.7
1727797131,530.8828125,49.8
1727797131,530.8828125,54.3
1727797132,530.8828125,49.6
1727797132,530.8828125,38.7
1727797133,530.8828125,49.8
1727797133,530.8828125,37.5
1727797133,530.8828125,49.6
1727797133,530.8828125,55.6
1727797135,530.8828125,49.8
1727797135,530.8828125,55.3
1727797135,530.8828125,49.6
1727797135,530.8828125,56.5
1727797137,530.8828125,49.8
1727797137,530.8828125,53.2
1727797137,530.8828125,49.4
1727797137,530.8828125,52.4
1727797138,530.8828125,49.8
1727797138,530.8828125,38.2
1727797138,530.8828125,51.6
1727797138,530.8828125,38.2
1727797140,530.8828125,49.8
1727797140,530.8828125,54.2
1727797140,530.8828125,48.7
1727797140,530.8828125,56.5
1727797150,533.00390625,50.1
1727797150,533.00390625,39.4
1727797150,533.00390625,49.4
1727797150,533.00390625,56.8
1727797151,533.00390625,49.8
1727797151,533.00390625,54.3
1727797151,533.00390625,50.6
1727797151,533.00390625,40.6
1727797163,529.03125,50.1
1727797163,529.03125,38.2
1727797163,529.03125,51.4
1727797163,529.03125,45.7
1727797203,531.3828125,50.1
1727797203,531.3828125,55.6
1727797203,531.3828125,48.7
1727797203,531.3828125,57.8
1727797264,530.421875,50.2
1727797264,530.421875,53.2
1727797264,530.421875,48.3
1727797264,530.421875,56.8
1727797265,530.421875,49.8
1727797266,530.421875,50.0
1727797266,530.421875,51.4
1727797266,530.421875,40.6
1727797267,530.421875,49.8
1727797267,530.421875,55.3
1727797267,530.421875,48.9
1727797267,530.421875,55.6
1727797269,530.421875,49.8
1727797269,530.421875,55.6
1727797269,530.421875,48.3
1727797269,530.421875,55.6
1727797271,530.421875,49.8
1727797271,530.421875,55.6
1727797271,530.421875,49.8
1727797271,530.421875,50.0
1727797273,530.421875,49.8
1727797273,530.421875,38.2
1727797273,530.421875,51.0
1727797273,530.421875,37.5
1727797275,530.421875,49.8
1727797275,530.421875,54.2
1727797275,530.421875,51.0
1727797275,530.421875,38.7
1727797277,530.421875,49.8
1727797277,530.421875,54.3
1727797277,530.421875,50.6
1727797277,530.421875,38.7
1727797278,530.421875,49.8
1727797278,530.421875,56.2
1727797278,530.421875,48.9
1727797278,530.421875,57.8
1727797280,530.421875,49.8
1727797280,530.421875,55.6
1727797280,530.421875,50.8
1727797280,530.421875,37.1
1727797282,530.421875,49.8
1727797282,530.421875,36.4
1727797282,530.421875,50.6
1727797282,530.421875,45.7
1727797284,530.421875,49.8
1727797284,530.421875,54.3
1727797284,530.421875,48.5
1727797284,530.421875,57.8
1727797286,530.421875,49.8
1727797286,530.421875,38.2
1727797286,530.421875,49.6
1727797286,530.421875,56.5
1727797288,530.421875,49.8
1727797288,530.421875,55.6
1727797288,530.421875,48.5
1727797288,530.421875,56.5
1727797289,530.421875,49.8
1727797289,530.421875,37.5
1727797289,530.421875,50.8
1727797289,530.421875,56.5
1727797291,530.421875,49.8
1727797291,530.421875,56.5
1727797291,530.421875,48.1
1727797291,530.421875,57.8
1727797293,530.421875,49.8
1727797293,530.421875,44.7
1727797293,530.421875,50.4
1727797293,530.421875,53.2
1727797295,530.421875,49.8
1727797295,530.421875,56.5
1727797295,530.421875,48.7
1727797295,530.421875,57.8
1727797297,530.421875,49.8
1727797297,530.421875,38.2
1727797297,530.421875,51.2
1727797297,530.421875,40.6
1727797299,530.421875,49.8
1727797299,530.421875,38.2
1727797299,530.421875,51.0
1727797299,530.421875,50.0
1727797301,530.421875,49.8
1727797301,530.421875,50.0
1727797301,530.421875,51.0
1727797301,530.421875,42.4
1727797302,530.421875,49.8
1727797302,530.421875,38.2
1727797302,530.421875,51.8
1727797302,530.421875,40.6
1727797304,530.421875,49.8
1727797304,530.421875,38.2
1727797304,530.421875,51.0
1727797304,530.421875,42.4
1727797306,530.421875,49.8
1727797306,530.421875,54.3
1727797306,530.421875,50.8
1727797306,530.421875,38.7
1727797308,530.421875,49.8
1727797308,530.421875,57.1
1727797308,530.421875,49.6
1727797308,530.421875,40.6
1727797310,530.421875,49.8
1727797310,530.421875,38.2
1727797310,530.421875,51.0
1727797310,530.421875,40.6
1727797312,530.421875,49.8
1727797312,530.421875,55.3
1727797312,530.421875,48.5
1727797312,530.421875,57.8
1727797314,530.421875,49.8
1727797314,530.421875,38.2
1727797314,530.421875,50.8
1727797314,530.421875,57.8
1727797315,530.421875,49.8
1727797315,530.421875,39.4
1727797315,530.421875,51.6
1727797315,530.421875,40.6
1727797317,530.421875,49.8
1727797317,530.421875,57.8
1727797317,530.421875,48.3
1727797317,530.421875,56.8
1727797319,530.421875,49.8
1727797319,530.421875,54.3
1727797319,530.421875,49.2
1727797319,530.421875,56.8
1727797321,530.421875,49.8
1727797321,530.421875,44.4
1727797321,530.421875,51.0
1727797321,530.421875,40.6
1727797323,530.421875,49.8
1727797323,530.421875,38.2
1727797323,530.421875,51.0
1727797323,530.421875,56.8
1727797325,530.421875,49.8
1727797325,530.421875,47.4
1727797325,530.421875,50.2
1727797325,530.421875,57.8
1727797327,530.421875,49.8
1727797327,530.421875,42.9
1727797327,530.421875,51.6
1727797327,530.421875,39.4
1727797329,530.421875,49.8
1727797329,530.421875,55.6
1727797329,530.421875,48.3
1727797329,530.421875,57.8
1727797330,530.421875,49.8
1727797330,530.421875,55.3
1727797330,530.421875,49.6
1727797330,530.421875,52.5
1727797332,530.421875,49.8
1727797332,530.421875,37.5
1727797332,530.421875,51.0
1727797332,530.421875,51.2
1727797334,530.421875,49.8
1727797334,530.421875,54.3
1727797334,530.421875,50.8
1727797334,530.421875,40.0
1727797336,530.421875,49.8
1727797336,530.421875,36.4
1727797336,530.421875,51.0
1727797336,530.421875,37.5
1727797338,530.421875,49.8
1727797338,530.421875,57.1
1727797338,530.421875,48.1
1727797338,530.421875,57.8
1727797340,530.421875,49.8
1727797340,530.421875,53.3
1727797340,530.421875,49.8
1727797340,530.421875,58.1
1727797341,530.421875,49.8
1727797341,530.421875,47.5
1727797341,530.421875,50.4
1727797341,530.421875,55.6
1727797343,530.421875,49.8
1727797343,530.421875,56.2
1727797343,530.421875,50.2
1727797343,530.421875,40.6
1727797345,530.421875,49.8
1727797345,530.421875,42.9
1727797345,530.421875,51.0
1727797345,530.421875,39.4
1727797347,530.421875,49.8
1727797347,530.421875,54.2
1727797347,530.421875,50.6
1727797347,530.421875,39.4
1727797349,530.421875,49.8
1727797349,530.421875,54.3
1727797349,530.421875,48.3
1727797349,530.421875,56.8
1727797351,530.421875,49.8
1727797351,530.421875,39.4
1727797351,530.421875,50.2
1727797351,530.421875,56.8
1727797353,530.421875,49.8
1727797353,530.421875,43.2
1727797353,530.421875,50.2
1727797353,530.421875,53.5
1727797355,530.421875,49.8
1727797355,530.421875,54.3
1727797355,530.421875,48.1
1727797355,530.421875,54.3
1727797356,530.421875,49.8
1727797356,530.421875,39.4
1727797356,530.421875,51.0
1727797356,530.421875,48.7
1727797358,530.421875,49.8
1727797358,530.421875,41.7
1727797358,530.421875,50.8
1727797358,530.421875,51.3
1727797360,530.421875,49.8
1727797360,530.421875,55.6
1727797360,530.421875,51.2
1727797360,530.421875,40.6
1727797362,530.421875,49.8
1727797362,530.421875,48.8
1727797362,530.421875,49.4
1727797362,530.421875,56.5
1727797364,530.421875,49.8
1727797364,530.421875,55.6
1727797364,530.421875,48.5
1727797364,530.421875,58.1
1727797366,530.421875,49.8
1727797366,530.421875,56.5
1727797366,530.421875,50.2
1727797366,530.421875,48.6
1727797367,530.421875,49.8
1727797367,530.421875,36.4
1727797367,530.421875,51.6
1727797367,530.421875,38.7
1727797369,530.421875,49.8
1727797369,530.421875,55.3
1727797369,530.421875,48.7
1727797369,530.421875,55.6
1727797371,530.421875,49.8
1727797371,530.421875,54.3
1727797371,530.421875,48.3
1727797371,530.421875,56.8
1727797373,530.421875,49.8
1727797373,530.421875,55.3
1727797373,530.421875,48.3
1727797373,530.421875,57.8
1727797375,530.421875,49.8
1727797375,530.421875,36.4
1727797375,530.421875,50.4
1727797375,530.421875,56.8
1727797377,530.421875,49.8
1727797377,530.421875,56.3
1727797377,530.421875,48.9
1727797377,530.421875,57.8
1727797379,531.08203125,49.9
1727797379,531.08203125,41.7
1727797379,531.08203125,50.2
1727797379,531.08203125,55.6
1727797390,533.359375,50.1
1727797390,533.359375,36.4
1727797390,533.359375,50.6
1727797390,533.359375,56.5
1727797392,533.359375,49.8
1727797392,533.359375,56.2
1727797392,533.359375,49.6
1727797392,533.359375,54.3
1727797394,533.359375,49.8
1727797394,533.359375,53.2
1727797394,533.359375,49.8
1727797394,533.359375,40.6
1727797396,533.359375,49.8
1727797396,533.359375,36.4
1727797396,533.359375,50.4
1727797396,533.359375,55.6
1727797398,533.359375,49.8
1727797398,533.359375,39.4
1727797398,533.359375,50.4
1727797398,533.359375,56.8
1727797400,533.359375,49.8
1727797400,533.359375,38.2
1727797400,533.359375,50.4
1727797400,533.359375,56.5
1727797402,533.359375,49.8
1727797402,533.359375,54.3
1727797402,533.359375,49.4
1727797402,533.359375,51.3
1727797404,533.359375,49.8
1727797404,533.359375,56.5
1727797404,533.359375,50.8
1727797404,533.359375,40.0
1727797405,533.359375,49.8
1727797405,533.359375,56.5
1727797405,533.359375,50.2
1727797405,533.359375,47.4
1727797407,533.359375,49.8
1727797407,533.359375,54.0
1727797407,533.359375,50.4
1727797407,533.359375,42.4
1727797409,533.359375,49.8
1727797409,533.359375,38.2
1727797409,533.359375,51.0
1727797409,533.359375,55.6
1727797411,533.359375,49.8
1727797411,533.359375,54.3
1727797411,533.359375,48.9
1727797411,533.359375,56.8
1727797413,533.359375,49.8
1727797413,533.359375,57.4
1727797413,533.359375,48.9
1727797413,533.359375,56.5
1727797415,533.359375,49.8
1727797415,533.359375,43.2
1727797415,533.359375,49.4
1727797415,533.359375,59.1
1727797417,533.359375,49.8
1727797417,533.359375,54.3
1727797417,533.359375,50.2
1727797417,533.359375,47.4
1727797418,533.359375,49.8
1727797418,533.359375,47.5
1727797418,533.359375,51.2
1727797418,533.359375,42.9
1727797420,533.359375,49.8
1727797420,533.359375,41.2
1727797420,533.359375,51.0
1727797420,533.359375,39.4
1727797422,533.359375,49.8
1727797422,533.359375,55.6
1727797422,533.359375,51.2
1727797422,533.359375,37.5
1727797424,533.359375,49.8
1727797424,533.359375,41.7
1727797424,533.359375,50.8
1727797424,533.359375,47.2
1727797426,533.359375,49.8
1727797426,533.359375,55.6
1727797426,533.359375,48.9
1727797426,533.359375,55.6
1727797428,533.359375,49.8
1727797428,533.359375,55.6
1727797428,533.359375,47.9
1727797428,533.359375,58.7
1727797430,533.359375,49.8
1727797430,533.359375,54.3
1727797430,533.359375,48.3
1727797430,533.359375,54.3
1727797432,533.359375,49.8
1727797432,533.359375,44.4
1727797432,533.359375,50.6
1727797432,533.359375,55.6
1727797433,533.359375,49.8
1727797433,533.359375,54.3
1727797433,533.359375,48.7
1727797433,533.359375,56.5
1727797435,533.359375,49.8
1727797435,533.359375,44.4
1727797435,533.359375,50.2
1727797435,533.359375,55.3
1727797437,533.359375,49.8
1727797437,533.359375,47.5
1727797437,533.359375,51.0
1727797437,533.359375,44.4
1727797439,533.359375,49.8
1727797439,533.359375,37.5
1727797439,533.359375,50.4
1727797439,533.359375,55.6
1727797441,533.359375,49.9
1727797441,533.359375,57.4
1727797441,533.359375,48.3
1727797441,533.359375,57.4
1727797443,533.359375,49.8
1727797443,533.359375,55.3
1727797443,533.359375,51.4
1727797443,533.359375,39.4
1727797444,533.359375,49.8
1727797444,533.359375,51.2
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1727797499,533.359375,51.2
1727797500,533.359375,49.9
1727797500,533.359375,36.4
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1727797504,533.359375,49.8
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1727797506,533.359375,49.8
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1727797510,533.359375,49.8
1727797510,533.359375,44.7
1727797510,533.359375,50.4
1727797510,533.359375,56.5
1727797511,533.359375,49.8
1727797511,533.359375,36.4
1727797511,533.359375,51.6
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1727797513,533.359375,49.8
1727797513,533.359375,36.4
1727797513,533.359375,50.0
1727797513,533.359375,58.7
1727797515,533.359375,49.8
1727797515,533.359375,39.4
1727797515,533.359375,51.0
1727797515,533.359375,51.2
1727797517,533.359375,49.8
1727797517,533.359375,38.2
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1727797517,533.359375,57.8
1727797519,533.359375,49.8
1727797519,533.359375,45.9
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1727797519,533.359375,47.4
1727797521,533.359375,49.8
1727797521,533.359375,54.3
1727797521,533.359375,48.3
1727797521,533.359375,55.6
1727797523,533.359375,49.8
1727797523,533.359375,55.6
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1727797525,533.359375,49.8
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1727797525,533.359375,51.0
1727797525,533.359375,41.9
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1727797526,533.359375,41.2
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1727797528,533.359375,51.2
1727797528,533.359375,40.6
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1727797530,533.359375,50.0
1727797532,533.359375,49.8
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1727797534,533.359375,49.8
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1727797536,533.359375,49.8
1727797536,533.359375,56.5
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1727797536,533.359375,39.4
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1727797539,533.359375,49.8
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1727797539,533.359375,44.4
1727797542,533.515625,49.9
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1727797542,533.515625,56.8
1727797552,534.796875,50.1
1727797552,534.796875,56.5
1727797552,534.796875,50.2
1727797552,534.796875,40.6
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1727797556,534.796875,47.9
1727797556,534.796875,55.3
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1727797558,534.796875,38.2
1727797558,534.796875,50.4
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1727797560,534.796875,54.3
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1727797560,534.796875,42.4
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1727797562,534.796875,43.2
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1727797562,534.796875,50.0
1727797564,534.796875,49.8
1727797564,534.796875,55.3
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1727797566,534.796875,51.2
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1727797566,534.796875,47.3
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1727797569,534.796875,38.2
1727797570,534.796875,49.8
1727797570,534.796875,60.0
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1727797571,534.796875,55.3
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1727797571,534.796875,55.6
1727797573,534.796875,49.8
1727797573,534.796875,37.5
1727797573,534.796875,51.6
1727797573,534.796875,39.4
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1727797575,534.796875,50.4
1727797575,534.796875,42.4
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1727797577,534.796875,55.6
1727797577,534.796875,50.2
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1727797581,534.796875,49.8
1727797581,534.796875,52.1
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1727797581,534.796875,40.6
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1727797583,534.796875,38.2
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1727797583,534.796875,55.6
1727797584,534.796875,49.8
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1727797584,534.796875,51.0
1727797584,534.796875,39.4
1727797586,534.796875,49.8
1727797586,534.796875,55.6
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1727797586,534.796875,50.0
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1727797592,534.796875,54.3
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1727797594,534.796875,39.4
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1727797596,534.796875,38.2
1727797596,534.796875,50.8
1727797596,534.796875,56.8
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1727797598,534.796875,39.4
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1727797598,534.796875,44.1
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1727797599,534.796875,55.3
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1727797599,534.796875,56.8
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1727797601,534.796875,55.6
1727797601,534.796875,50.4
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1727797611,534.796875,57.4
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1727797618,534.796875,49.8
1727797618,534.796875,36.4
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1727797625,534.796875,50.6
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1727797627,534.796875,38.2
1727797627,534.796875,50.6
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1727797629,534.796875,55.6
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1727797631,534.796875,49.8
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1727797631,534.796875,56.8
1727797633,534.796875,49.8
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1727797633,534.796875,42.9
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1727797635,534.796875,47.2
1727797637,534.796875,49.8
1727797637,534.796875,54.3
1727797637,534.796875,48.3
1727797637,534.796875,57.8
1727797638,534.796875,49.8
1727797638,534.796875,54.3
1727797639,534.796875,48.7
1727797639,534.796875,58.7
1727797640,534.796875,49.8
1727797640,534.796875,55.3
1727797640,534.796875,48.5
1727797640,534.796875,56.8
1727797642,534.796875,49.8
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1727797642,534.796875,50.2
1727797642,534.796875,46.2
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1727797646,534.796875,57.4
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1727797648,534.796875,39.4
1727797648,534.796875,50.4
1727797648,534.796875,56.8
1727797650,534.796875,49.8
1727797650,534.796875,56.5
1727797650,534.796875,50.2
1727797650,534.796875,43.7
1727797652,534.796875,49.8
1727797652,534.796875,48.7
1727797652,534.796875,49.8
1727797652,534.796875,55.6
1727797653,534.796875,49.8
1727797653,534.796875,56.2
1727797653,534.796875,48.3
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1727797655,534.796875,55.6
1727797655,534.796875,48.3
1727797655,534.796875,59.1
1727797657,534.796875,49.8
1727797657,534.796875,55.3
1727797657,534.796875,47.9
1727797657,534.796875,55.6
1727797659,534.796875,49.8
1727797659,534.796875,55.3
1727797659,534.796875,50.6
1727797659,534.796875,39.4
1727797661,534.796875,49.8
1727797661,534.796875,56.5
1727797661,534.796875,50.0
1727797661,534.796875,38.7
1727797663,534.796875,49.8
1727797663,534.796875,56.2
1727797663,534.796875,50.2
1727797663,534.796875,41.2
1727797674,531.2265625,50.1
1727797674,531.2265625,47.4
1727797674,531.2265625,50.0
1727797674,531.2265625,50.0
1727797676,531.2265625,49.8
1727797676,531.2265625,38.9
1727797676,531.2265625,50.6
1727797676,531.2265625,55.6
1727797678,531.2265625,49.8
1727797678,531.2265625,55.1
1727797678,531.2265625,49.6
1727797678,531.2265625,40.6
1727797680,531.2265625,49.8
1727797680,531.2265625,55.3
1727797680,531.2265625,49.2
1727797680,531.2265625,56.8
1727797682,531.2265625,49.9
1727797682,531.2265625,46.2
1727797682,531.2265625,49.6
1727797682,531.2265625,56.8
1727797683,531.2265625,49.8
1727797683,531.2265625,55.6
1727797683,531.2265625,48.6
1727797683,531.2265625,52.5
1727797685,531.2265625,49.8
1727797685,531.2265625,40.0
1727797685,531.2265625,51.2
1727797685,531.2265625,37.5
1727797687,531.2265625,49.8
1727797687,531.2265625,36.4
1727797687,531.2265625,51.9
1727797687,531.2265625,44.1
1727797689,531.2265625,49.8
1727797689,531.2265625,52.4
1727797689,531.2265625,48.8
1727797689,531.2265625,57.8
1727797691,531.2265625,49.8
1727797691,531.2265625,39.4
1727797691,531.2265625,50.6
1727797691,531.2265625,55.6
1727797693,531.2265625,49.8
1727797693,531.2265625,39.4
1727797693,531.2265625,50.4
1727797693,531.2265625,57.4
1727797695,531.2265625,49.8
1727797695,531.2265625,50.0
1727797695,531.2265625,48.4
1727797695,531.2265625,56.8
1727797697,531.2265625,49.8
1727797697,531.2265625,40.0
1727797697,531.2265625,50.4
1727797697,531.2265625,56.8
1727797699,531.2265625,49.8
1727797699,531.2265625,38.2
1727797699,531.2265625,50.4
1727797699,531.2265625,56.8
1727797700,531.2265625,49.8
1727797700,531.2265625,38.2
1727797701,531.2265625,50.8
1727797701,531.2265625,39.4
1727797702,531.2265625,49.8
1727797702,531.2265625,56.5
1727797702,531.2265625,49.6
1727797702,531.2265625,41.9
1727797704,531.2265625,49.8
1727797704,531.2265625,54.3
1727797704,531.2265625,50.0
1727797704,531.2265625,54.3
1727797706,531.2265625,49.8
1727797706,531.2265625,37.5
1727797706,531.2265625,50.2
1727797706,531.2265625,56.5
1727797708,531.2265625,49.8
1727797708,531.2265625,55.3
1727797708,531.2265625,49.2
1727797708,531.2265625,56.8
1727797710,531.2265625,49.8
1727797710,531.2265625,52.1
1727797710,531.2265625,50.2
1727797710,531.2265625,55.3
1727797712,531.2265625,49.8
1727797712,531.2265625,53.2
1727797712,531.2265625,48.0
1727797712,531.2265625,57.8
1727797714,531.2265625,49.8
1727797714,531.2265625,38.2
1727797714,531.2265625,50.2
1727797714,531.2265625,57.8
1727797716,531.2265625,49.8
1727797716,531.2265625,55.3
1727797716,531.2265625,50.6
1727797716,531.2265625,39.4
1727797718,531.2265625,49.8
1727797718,531.2265625,53.2
1727797718,531.2265625,49.4
1727797718,531.2265625,56.5
1727797720,531.2265625,49.8
1727797720,531.2265625,57.4
1727797720,531.2265625,50.4
1727797720,531.2265625,40.6
1727797721,531.2265625,49.8
1727797721,531.2265625,53.2
1727797721,531.2265625,49.6
1727797721,531.2265625,55.3
1727797723,531.2265625,49.8
1727797723,531.2265625,55.1
1727797723,531.2265625,50.2
1727797723,531.2265625,42.4
1727797725,531.2265625,49.8
1727797725,531.2265625,48.8
1727797725,531.2265625,48.8
1727797725,531.2265625,56.8
1727797727,531.2265625,49.8
1727797727,531.2265625,36.4
1727797727,531.2265625,50.6
1727797727,531.2265625,55.6
1727797739,534.9765625,50.1
1727797739,534.9765625,55.1
1727797739,534.9765625,49.8
1727797739,534.9765625,44.4
1727797742,534.9765625,49.9
1727797742,534.9765625,36.4
1727797742,534.9765625,49.8
1727797742,534.9765625,56.8
1727797786,536.3359375,50.2
1727797786,536.3359375,55.3
1727797786,536.3359375,50.0
1727797786,536.3359375,40.6
1727797849,537.76171875,50.2
1727797849,537.76171875,55.3
1727797849,537.76171875,49.2
1727797849,537.76171875,56.8
1727797851,537.76171875,49.8
1727797851,537.76171875,37.5
1727797851,537.76171875,50.7
1727797851,537.76171875,47.2
1727797853,537.76171875,49.8
1727797853,537.76171875,43.2
1727797853,537.76171875,49.2
1727797853,537.76171875,57.8
1727797855,537.76171875,49.8
1727797855,537.76171875,54.3
1727797855,537.76171875,50.4
1727797855,537.76171875,39.4
1727797857,537.76171875,49.8
1727797857,537.76171875,54.3
1727797857,537.76171875,50.4
1727797857,537.76171875,41.2
1727797859,537.76171875,49.8
1727797859,537.76171875,55.3
1727797859,537.76171875,50.2
1727797859,537.76171875,40.6
1727797861,537.76171875,49.9
1727797861,537.76171875,55.3
1727797861,537.76171875,49.4
1727797861,537.76171875,56.8
1727797863,537.76171875,49.9
1727797863,537.76171875,53.2
1727797863,537.76171875,49.6
1727797863,537.76171875,56.8
1727797865,537.76171875,49.8
1727797865,537.76171875,47.5
1727797865,537.76171875,51.0
1727797865,537.76171875,41.2
1727797867,537.76171875,49.8
1727797867,537.76171875,54.3
1727797867,537.76171875,50.8
1727797867,537.76171875,38.7
1727797869,537.76171875,49.8
1727797869,537.76171875,41.2
1727797869,537.76171875,50.0
1727797869,537.76171875,58.1
1727797871,537.76171875,49.8
1727797871,537.76171875,35.3
1727797871,537.76171875,50.8
1727797871,537.76171875,56.5
1727797874,537.76171875,49.8
1727797874,537.76171875,38.2
1727797874,537.76171875,50.8
1727797874,537.76171875,48.6
1727797876,537.76171875,49.8
1727797876,537.76171875,41.7
1727797876,537.76171875,49.6
1727797876,537.76171875,57.4
1727797878,537.76171875,49.8
1727797878,537.76171875,39.4
1727797878,537.76171875,50.0
1727797878,537.76171875,54.8
1727797880,537.76171875,49.8
1727797880,537.76171875,54.3
1727797880,537.76171875,49.8
1727797880,537.76171875,44.1
1727797882,537.76171875,49.8
1727797882,537.76171875,39.5
1727797882,537.76171875,49.8
1727797882,537.76171875,56.8
1727797884,537.76171875,49.9
1727797884,537.76171875,55.3
1727797884,537.76171875,49.8
1727797884,537.76171875,47.2
1727797886,537.76171875,49.8
1727797886,537.76171875,54.3
1727797886,537.76171875,50.6
1727797886,537.76171875,37.5
1727797888,537.76171875,49.8
1727797888,537.76171875,39.4
1727797888,537.76171875,50.4
1727797888,537.76171875,57.8
1727797890,537.76171875,49.8
1727797890,537.76171875,57.4
1727797890,537.76171875,49.8
1727797890,537.76171875,40.6
1727797906,537.296875,50.2
1727797906,537.296875,57.4
1727797906,537.296875,50.2
1727797906,537.296875,41.9
1727797908,537.296875,49.8
1727797908,537.296875,48.8
1727797908,537.296875,50.2
1727797908,537.296875,50.0
1727797910,537.296875,49.8
1727797910,537.296875,54.3
1727797910,537.296875,49.4
1727797910,537.296875,48.6
1727797912,537.296875,49.8
1727797912,537.296875,39.4
1727797912,537.296875,50.0
1727797912,537.296875,57.8
1727797914,537.296875,49.8
1727797914,537.296875,50.0
1727797914,537.296875,49.2
1727797914,537.296875,53.7
1727797916,537.296875,49.8
1727797916,537.296875,47.4
1727797916,537.296875,49.8
1727797916,537.296875,56.8
1727797918,537.296875,49.8
1727797918,537.296875,41.2
1727797918,537.296875,50.0
1727797918,537.296875,57.4
1727797920,537.296875,49.9
1727797920,537.296875,50.0
1727797920,537.296875,50.0
1727797920,537.296875,56.8
1727797922,537.296875,49.8
1727797922,537.296875,55.3
1727797922,537.296875,50.2
1727797922,537.296875,41.9
1727797924,537.296875,49.9
1727797924,537.296875,55.6
1727797924,537.296875,50.0
1727797924,537.296875,52.4
1727797926,537.296875,49.8
1727797926,537.296875,53.2
1727797926,537.296875,50.0
1727797926,537.296875,38.7
1727797928,537.296875,49.8
1727797928,537.296875,53.3
1727797928,537.296875,49.6
1727797928,537.296875,47.2
1727797930,537.296875,49.8
1727797930,537.296875,55.6
1727797930,537.296875,49.8
1727797930,537.296875,38.7
1727797933,537.296875,49.9
1727797933,537.296875,38.2
1727797933,537.296875,50.0
1727797933,537.296875,55.8
1727797935,537.296875,49.8
1727797935,537.296875,55.3
1727797935,537.296875,49.8
1727797935,537.296875,55.3
1727797937,537.296875,49.9
1727797937,537.296875,55.6
1727797937,537.296875,49.8
1727797937,537.296875,38.2
1727797955,537.33984375,50.2
1727797955,537.33984375,55.3
1727797955,537.33984375,50.0
1727797955,537.33984375,40.6
1727797957,537.33984375,49.8
1727797957,537.33984375,53.2
1727797957,537.33984375,49.8
1727797957,537.33984375,55.6
1727797959,537.33984375,49.8
1727797959,537.33984375,55.6
1727797959,537.33984375,50.4
1727797959,537.33984375,38.7
1727797961,537.33984375,49.8
1727797961,537.33984375,56.2
1727797961,537.33984375,49.6
1727797961,537.33984375,44.1
1727797963,537.33984375,49.8
1727797963,537.33984375,41.2
1727797963,537.33984375,50.0
1727797963,537.33984375,57.8
1727797965,537.33984375,49.8
1727797965,537.33984375,53.2
1727797965,537.33984375,50.4
1727797965,537.33984375,38.7
1727797967,537.33984375,49.8
1727797967,537.33984375,38.2
1727797967,537.33984375,49.6
1727797967,537.33984375,60.0
1727797969,537.33984375,49.8
1727797969,537.33984375,55.3
1727797969,537.33984375,49.4
1727797969,537.33984375,57.8
1727797971,537.33984375,49.8
1727797971,537.33984375,56.2
1727797971,537.33984375,50.2
1727797971,537.33984375,37.5
1727797973,537.33984375,49.8
1727797973,537.33984375,55.6
1727797973,537.33984375,49.4
1727797973,537.33984375,40.6
1727797975,537.33984375,49.8
1727797975,537.33984375,39.4
1727797975,537.33984375,50.2
1727797975,537.33984375,56.8
1727797992,537.25390625,50.2
1727797992,537.25390625,47.5
1727797992,537.25390625,50.4
1727797992,537.25390625,55.3
1727797995,537.25390625,49.8
1727797995,537.25390625,35.3
1727797995,537.25390625,51.8
1727797995,537.25390625,40.6
1727797997,537.25390625,49.9
1727797997,537.25390625,37.1
1727797997,537.25390625,51.8
1727797997,537.25390625,40.6
1727797999,537.40625,49.8
1727797999,537.40625,44.4
1727797999,537.40625,50.7
1727797999,537.40625,41.9
1727798001,537.40625,49.8
1727798001,537.40625,56.5
1727798001,537.40625,49.0
1727798001,537.40625,57.8
1727798003,537.40625,49.8
1727798003,537.40625,55.3
1727798003,537.40625,49.6
1727798003,537.40625,45.9
1727798005,537.40625,49.9
1727798005,537.40625,38.2
1727798005,537.40625,51.8
1727798005,537.40625,40.6
1727798007,537.40625,49.8
1727798007,537.40625,57.4
1727798007,537.40625,49.0
1727798007,537.40625,56.5
1727798009,537.40625,49.8
1727798009,537.40625,54.3
1727798009,537.40625,49.8
1727798009,537.40625,56.5
1727798011,537.40625,49.9
1727798011,537.40625,38.2
1727798011,537.40625,49.4
1727798011,537.40625,58.7
1727798013,537.40625,49.8
1727798013,537.40625,55.3
1727798013,537.40625,49.4
1727798013,537.40625,57.8
1727798015,537.40625,49.8
1727798015,537.40625,56.5
1727798015,537.40625,50.0
1727798015,537.40625,37.5
1727798017,537.40625,49.8
1727798017,537.40625,47.5
1727798017,537.40625,51.1
1727798017,537.40625,41.2
1727798019,537.40625,49.8
1727798019,537.40625,53.3
1727798019,537.40625,50.4
1727798019,537.40625,40.6
1727798021,537.40625,49.8
1727798021,537.40625,55.3
1727798021,537.40625,49.8
1727798021,537.40625,40.0
1727798023,537.40625,49.8
1727798023,537.40625,53.2
1727798023,537.40625,50.6
1727798023,537.40625,38.7
1727798026,537.40625,49.8
1727798026,537.40625,54.3
1727798026,537.40625,50.6
1727798026,537.40625,38.7
1727798028,537.40625,49.8
1727798028,537.40625,56.5
1727798028,537.40625,49.0
1727798028,537.40625,56.8
1727798030,537.40625,49.8
1727798030,537.40625,39.4
1727798030,537.40625,50.8
1727798030,537.40625,50.0
1727798032,537.40625,49.8
1727798032,537.40625,55.3
1727798032,537.40625,49.0
1727798032,537.40625,56.5
1727798034,537.40625,49.8
1727798034,537.40625,55.6
1727798034,537.40625,49.4
1727798034,537.40625,47.2
1727798036,537.40625,49.8
1727798036,537.40625,54.5
1727798036,537.40625,49.4
1727798036,537.40625,56.5
1727798038,537.40625,49.8
1727798038,537.40625,55.1
1727798038,537.40625,49.4
1727798038,537.40625,59.6
1727798040,537.40625,49.9
1727798040,537.40625,36.4
1727798040,537.40625,50.4
1727798040,537.40625,56.8
1727798042,537.40625,49.8
1727798042,537.40625,57.4
1727798042,537.40625,50.2
1727798042,537.40625,40.6
1727798044,537.40625,49.8
1727798044,537.40625,54.3
1727798044,537.40625,50.2
1727798044,537.40625,38.7
1727798046,537.40625,49.8
1727798046,537.40625,56.5
1727798046,537.40625,50.4
1727798046,537.40625,39.4
1727798048,537.40625,49.8
1727798048,537.40625,39.4
1727798048,537.40625,50.0
1727798048,537.40625,57.8
1727798050,537.40625,49.8
1727798050,537.40625,54.3
1727798050,537.40625,50.4
1727798050,537.40625,40.6
1727798052,537.40625,49.8
1727798052,537.40625,57.4
1727798052,537.40625,50.0
1727798052,537.40625,38.7
1727798054,537.40625,49.8
1727798054,537.40625,54.3
1727798054,537.40625,49.6
1727798054,537.40625,53.7
1727798056,537.40625,49.8
1727798056,537.40625,57.4
1727798056,537.40625,49.8
1727798056,537.40625,55.1
1727798058,537.40625,49.8
1727798058,537.40625,50.0
1727798058,537.40625,49.2
1727798058,537.40625,55.6
1727798060,537.40625,49.8
1727798060,537.40625,54.3
1727798060,537.40625,50.4
1727798060,537.40625,39.4
1727798062,537.40625,49.8
1727798062,537.40625,57.4
1727798062,537.40625,49.6
1727798062,537.40625,54.8
1727798064,537.40625,49.8
1727798064,537.40625,48.8
1727798064,537.40625,51.0
1727798064,537.40625,40.6
1727798066,537.40625,49.8
1727798066,537.40625,47.5
1727798066,537.40625,49.8
1727798066,537.40625,56.8
1727798068,537.40625,49.8
1727798068,537.40625,55.6
1727798068,537.40625,49.2
1727798068,537.40625,42.4
1727798070,537.40625,49.8
1727798070,537.40625,55.6
1727798070,537.40625,50.0
1727798070,537.40625,39.4
1727798072,537.40625,49.8
1727798072,537.40625,54.3
1727798072,537.40625,49.8
1727798072,537.40625,44.1
1727798074,537.40625,49.9
1727798074,537.40625,56.2
1727798074,537.40625,49.6
1727798074,537.40625,38.7
1727798076,537.40625,49.8
1727798076,537.40625,48.7
1727798076,537.40625,49.4
1727798076,537.40625,56.8
1727798078,537.40625,49.8
1727798078,537.40625,36.4
1727798078,537.40625,51.5
1727798078,537.40625,44.1
1727798080,537.40625,49.8
1727798080,537.40625,41.2
1727798080,537.40625,50.0
1727798080,537.40625,57.8
1727798083,537.40625,49.8
1727798083,537.40625,35.3
1727798083,537.40625,51.5
1727798083,537.40625,44.4
1727798085,537.40625,49.8
1727798085,537.40625,53.2
1727798085,537.40625,47.9
1727798085,537.40625,56.8
1727798087,537.40625,49.8
1727798087,537.40625,54.5
1727798087,537.40625,50.2
1727798087,537.40625,40.6
1727798089,537.40625,49.8
1727798089,537.40625,54.3
1727798089,537.40625,50.2
1727798089,537.40625,52.5
1727798091,537.40625,49.8
1727798091,537.40625,56.5
1727798091,537.40625,49.2
1727798091,537.40625,57.8
1727798093,537.40625,49.8
1727798093,537.40625,55.6
1727798093,537.40625,50.0
1727798093,537.40625,40.6
1727798095,537.40625,49.9
1727798095,537.40625,53.2
1727798095,537.40625,49.8
1727798095,537.40625,56.8
1727798097,537.40625,49.8
1727798097,537.40625,54.3
1727798097,537.40625,48.9
1727798097,537.40625,56.5
1727798099,537.40625,49.8
1727798099,537.40625,54.3
1727798099,537.40625,50.4
1727798099,537.40625,40.6
1727798102,537.48828125,49.9
1727798102,537.48828125,51.2
1727798102,537.48828125,49.8
1727798102,537.48828125,57.8
1727798129,536.95703125,50.2
1727798129,536.95703125,37.5
1727798129,536.95703125,51.6
1727798129,536.95703125,38.7
1727798132,536.95703125,49.9
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1727798132,536.95703125,56.5
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1727798134,536.95703125,48.7
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1727798183,538.4453125,49.9
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1727798183,538.4453125,36.4
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1727798185,538.4453125,56.5
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1727798201,538.4453125,40.6
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1727798208,538.4453125,37.5
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1727798210,538.4453125,53.2
1727798210,538.4453125,49.4
1727798210,538.4453125,57.8
1727798212,538.4453125,49.8
1727798212,538.4453125,55.3
1727798212,538.4453125,49.6
1727798212,538.4453125,56.5
1727798214,538.4453125,49.9
1727798214,538.4453125,37.5
1727798214,538.4453125,51.3
1727798214,538.4453125,40.6
1727798216,538.4453125,49.9
1727798216,538.4453125,39.4
1727798216,538.4453125,51.3
1727798216,538.4453125,39.4
1727798218,538.4453125,49.8
1727798218,538.4453125,54.3
1727798218,538.4453125,49.4
1727798218,538.4453125,54.3
1727798220,538.4453125,49.9
1727798220,538.4453125,55.3
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1727798239,537.97265625,57.8
1727798241,537.97265625,49.8
1727798241,537.97265625,41.2
1727798241,537.97265625,51.3
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1727798243,537.97265625,49.8
1727798243,537.97265625,39.4
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1727798250,537.97265625,37.5
1727798252,537.97265625,49.9
1727798252,537.97265625,56.5
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1727798252,537.97265625,41.9
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1727798258,537.97265625,50.8
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1727798264,537.97265625,49.8
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1727798287,537.97265625,42.4
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1727798295,537.97265625,37.5
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1727798295,537.97265625,39.4
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1727798302,537.97265625,36.1
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1727798551,538.66015625,49.9
1727798551,538.66015625,42.9
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1727798556,538.66015625,56.5
1727798561,538.66015625,49.9
1727798561,538.66015625,38.2
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1727798570,538.8671875,50.0
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1727798575,540.60546875,48.3
1727798575,540.60546875,55.6
1727798594,541.875,50.2
1727798594,541.875,39.4
1727798594,541.875,50.9
1727798594,541.875,40.6
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1727798618,540.3125,50.0
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1727798618,540.3125,48.5
1727798618,540.3125,57.4
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1727798623,539.54296875,54.3
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1727798628,540.41015625,50.0
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1727798628,540.41015625,47.9
1727798628,540.41015625,56.5
1727798632,539.63671875,50.0
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1727798632,539.63671875,45.9
1727798637,539.6484375,50.0
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1727798637,539.6484375,50.2
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1727798646,540.421875,50.7
1727798646,540.421875,40.6
1727798664,542.85546875,50.2
1727798664,542.85546875,54.3
1727798664,542.85546875,49.1
1727798664,542.85546875,52.0
1727798669,542.85546875,49.9
1727798669,542.85546875,55.6
1727798669,542.85546875,50.4
1727798669,542.85546875,45.7
1727798673,542.85546875,50.0
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1727798673,542.85546875,50.0
1727798673,542.85546875,47.2
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1727798678,544.0078125,48.1
1727798678,544.0078125,57.8
1727798683,544.0078125,49.9
1727798683,544.0078125,48.8
1727798683,544.0078125,48.9
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1727798687,544.1328125,50.0
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1727798692,544.1328125,50.0
1727798692,544.1328125,40.6
1727798697,544.3203125,50.0
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1727798697,544.3203125,50.2
1727798697,544.3203125,40.6
1727798728,539.6640625,50.2
1727798728,539.6640625,55.3
1727798728,539.6640625,48.3
1727798728,539.6640625,57.8
1727798748,544.9609375,50.2
1727798748,544.9609375,55.3
1727798748,544.9609375,50.5
1727798748,544.9609375,37.5
1727798752,544.9609375,50.0
1727798752,544.9609375,38.2
1727798752,544.9609375,50.4
1727798752,544.9609375,58.7
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1727813489,480.17578125,50.1
1727813489,480.17578125,55.3
1727813489,480.17578125,49.9
1727813489,480.17578125,37.5
1727813569,497.16015625,50.1
1727813569,497.16015625,36.4
1727813569,497.16015625,50.3
1727813569,497.16015625,55.6
1727813638,488.05859375,50.1
1727813638,488.05859375,54.3
1727813638,488.05859375,49.6
1727813638,488.05859375,55.6
1727813723,472.3046875,50.1
1727813723,472.3046875,39.4
1727813723,472.3046875,50.1
1727813723,472.3046875,56.5
1727813810,483.65234375,50.1
1727813810,483.65234375,56.2
1727813810,483.65234375,50.1
1727813810,483.65234375,40.6
1727813901,483.80859375,50.1
1727813901,483.80859375,41.7
1727813901,483.80859375,50.1
1727813901,483.80859375,55.6
1727814010,468.88671875,50.1
1727814010,468.88671875,53.2
1727814010,468.88671875,49.9
1727814010,468.88671875,57.8
1727814176,472.6796875,50.1
1727814176,472.6796875,36.4
1727814176,472.6796875,50.8
1727814176,472.6796875,38.7
1727814319,487.8203125,50.1
1727814319,487.8203125,47.4
1727814319,487.8203125,50.0
1727814319,487.8203125,56.8
1727814409,478.390625,50.1
1727814409,478.390625,54.3
1727814409,478.390625,49.9
1727814409,478.390625,55.6
1727814505,498.34375,50.1
1727814505,498.34375,38.2
1727814505,498.34375,50.4
1727814505,498.34375,43.2
1727814600,478.1796875,50.1
1727814600,478.1796875,38.2
1727814600,478.1796875,50.5
1727814600,478.1796875,36.4
1727814712,485.625,50.1
1727814712,485.625,54.3
1727814712,485.625,49.5
1727814712,485.625,55.6
1727814881,468.0546875,50.1
1727814881,468.0546875,46.2
1727814881,468.0546875,49.9
1727814881,468.0546875,55.6
1727815010,488.94140625,50.1
1727815010,488.94140625,54.3
1727815010,488.94140625,49.5
1727815010,488.94140625,55.6
1727815124,496.21484375,50.1
1727815124,496.21484375,38.2
1727815124,496.21484375,50.3
1727815124,496.21484375,42.4
1727815131,496.17578125,50.0
1727815131,496.17578125,54.3
1727815131,496.17578125,50.4
1727815131,496.17578125,39.4
1727815138,496.17578125,50.0
1727815138,496.17578125,51.2
1727815139,496.17578125,50.3
1727815139,496.17578125,40.6
1727815151,496.203125,50.0
1727815151,496.203125,47.5
1727815151,496.203125,49.9
1727815151,496.203125,56.5
1727815158,496.20703125,50.0
1727815158,496.20703125,48.8
1727815158,496.20703125,50.0
1727815158,496.20703125,57.8
1727815165,496.23046875,50.0
1727815165,496.23046875,50.0
1727815165,496.23046875,50.0
1727815165,496.23046875,56.8
1727815172,496.23828125,50.0
1727815172,496.23828125,36.4
1727815172,496.23828125,50.3
1727815172,496.23828125,55.6
1727815179,496.20703125,50.0
1727815179,496.20703125,48.8
1727815179,496.20703125,50.1
1727815179,496.20703125,48.6
1727815186,496.25,50.0
1727815186,496.25,39.4
1727815186,496.25,50.3
1727815186,496.25,55.6
1727815193,496.24609375,50.0
1727815193,496.24609375,57.4
1727815193,496.24609375,50.1
1727815193,496.24609375,40.6
1727815200,496.20703125,50.0
1727815200,496.20703125,56.5
1727815200,496.20703125,50.1
1727815200,496.20703125,38.7
1727815207,496.24609375,50.0
1727815207,496.24609375,47.4
1727815207,496.24609375,50.2
1727815207,496.24609375,40.6
1727815219,496.25390625,50.0
1727815219,496.25390625,54.3
1727815219,496.25390625,50.1
1727815219,496.25390625,38.7
1727815231,496.26171875,50.0
1727815231,496.26171875,38.2
1727815231,496.26171875,50.6
1727815231,496.26171875,40.6
1727815238,496.2578125,50.0
1727815238,496.2578125,55.6
1727815239,496.2578125,49.8
1727815239,496.2578125,56.8
1727815246,496.2265625,50.0
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1727815246,496.2265625,50.0
1727815246,496.2265625,57.4
1727815253,496.21875,50.0
1727815253,496.21875,48.8
1727815253,496.21875,50.2
1727815253,496.21875,41.2
1727815260,496.25390625,50.0
1727815260,496.25390625,55.6
1727815260,496.25390625,49.9
1727815260,496.25390625,40.6
1727815267,496.2578125,50.0
1727815267,496.2578125,36.4
1727815267,496.2578125,50.3
1727815267,496.2578125,56.8
1727815274,496.2265625,50.0
1727815274,496.2265625,48.7
1727815274,496.2265625,50.4
1727815274,496.2265625,40.6
1727815281,496.21484375,50.0
1727815281,496.21484375,47.5
1727815281,496.21484375,50.2
1727815281,496.21484375,53.7
1727815288,496.265625,50.0
1727815288,496.265625,54.5
1727815288,496.265625,50.1
1727815288,496.265625,51.2
1727815295,496.26171875,50.0
1727815295,496.26171875,55.6
1727815295,496.26171875,50.4
1727815295,496.26171875,40.6
1727815302,496.21484375,50.0
1727815302,496.21484375,55.6
1727815302,496.21484375,50.3
1727815302,496.21484375,41.2
1727815309,496.22265625,50.0
1727815309,496.22265625,55.3
1727815309,496.22265625,50.1
1727815309,496.22265625,42.4
1727815322,496.2265625,50.0
1727815322,496.2265625,51.0
1727815322,496.2265625,50.4
1727815322,496.2265625,41.2
1727815328,496.265625,50.0
1727815328,496.265625,53.2
1727815328,496.265625,49.6
1727815328,496.265625,55.6
1727815336,496.265625,50.0
1727815336,496.265625,37.1
1727815336,496.265625,50.3
1727815336,496.265625,56.5
1727815343,496.23046875,50.0
1727815343,496.23046875,38.2
1727815343,496.23046875,50.3
1727815343,496.23046875,40.6
1727815350,496.22265625,50.0
1727815350,496.22265625,55.3
1727815350,496.22265625,50.3
1727815350,496.22265625,39.4
1727815357,496.265625,50.0
1727815357,496.265625,36.4
1727815357,496.265625,50.3
1727815357,496.265625,38.7
1727815364,496.265625,50.0
1727815364,496.265625,41.2
1727815364,496.265625,50.3
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1727815376,496.26953125,50.0
1727815376,496.26953125,55.3
1727815376,496.26953125,49.4
1727815376,496.26953125,54.3
1727815383,496.23828125,50.0
1727815383,496.23828125,36.4
1727815383,496.23828125,50.6
1727815383,496.23828125,38.7
1727815399,496.26171875,50.0
1727815399,496.26171875,51.2
1727815399,496.26171875,50.1
1727815399,496.26171875,54.3
1727815406,496.29296875,50.0
1727815406,496.29296875,54.2
1727815406,496.29296875,50.1
1727815406,496.29296875,55.6
1727815413,496.30078125,50.0
1727815413,496.30078125,54.3
1727815413,496.30078125,50.0
1727815413,496.30078125,42.4
1727815420,496.30859375,50.0
1727815420,496.30859375,45.2
1727815420,496.30859375,50.2
1727815420,496.30859375,56.8
1727815427,496.26171875,50.0
1727815427,496.26171875,38.2
1727815427,496.26171875,50.1
1727815427,496.26171875,56.5
1727815434,496.30078125,50.0
1727815434,496.30078125,56.5
1727815434,496.30078125,49.8
1727815434,496.30078125,52.3
1727815441,496.30078125,50.0
1727815441,496.30078125,55.3
1727815441,496.30078125,49.7
1727815441,496.30078125,51.2
1727815453,496.3125,50.0
1727815453,496.3125,50.0
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1727815454,496.3125,56.8
1727815461,496.26953125,50.0
1727815461,496.26953125,56.5
1727815461,496.26953125,49.5
1727815461,496.26953125,52.5
1727815468,496.30078125,50.0
1727815468,496.30078125,55.6
1727815468,496.30078125,49.3
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1727815475,496.30859375,50.0
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1727815475,496.30859375,50.5
1727815475,496.30859375,38.7
1727815482,496.27734375,50.0
1727815482,496.27734375,48.7
1727815482,496.27734375,50.3
1727815482,496.27734375,37.5
1727815489,496.3125,50.0
1727815489,496.3125,51.2
1727815489,496.3125,50.2
1727815489,496.3125,45.9
1727815496,496.30859375,50.0
1727815496,496.30859375,56.3
1727815496,496.30859375,50.1
1727815496,496.30859375,56.8
1727815503,496.27734375,50.0
1727815503,496.27734375,55.3
1727815503,496.27734375,50.3
1727815503,496.27734375,44.4
1727815510,496.3125,50.0
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1727815510,496.3125,55.6
1727815523,496.3203125,50.0
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1727815523,496.3203125,49.8
1727815523,496.3203125,55.6
1727815530,496.32421875,50.0
1727815530,496.32421875,55.3
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1727815530,496.32421875,40.6
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1727815544,496.28125,50.0
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1727815551,496.3125,50.0
1727815551,496.3125,39.4
1727815551,496.3125,50.1
1727815551,496.3125,57.8
1727815563,496.33984375,50.0
1727815563,496.33984375,54.3
1727815563,496.33984375,49.9
1727815563,496.33984375,50.0
1727815570,496.34375,50.0
1727815570,496.34375,54.3
1727815570,496.34375,49.7
1727815570,496.34375,55.6
1727815578,496.26953125,50.0
1727815578,496.26953125,41.7
1727815578,496.26953125,50.0
1727815578,496.26953125,55.6
1727815584,496.33984375,50.0
1727815584,496.33984375,51.2
1727815584,496.33984375,50.3
1727815584,496.33984375,40.6
1727815592,496.33984375,50.0
1727815592,496.33984375,55.3
1727815592,496.33984375,49.9
1727815592,496.33984375,56.5
1727815599,496.3046875,50.0
1727815599,496.3046875,39.5
1727815599,496.3046875,50.1
1727815599,496.3046875,55.6
1727815606,496.2890625,50.0
1727815606,496.2890625,55.6
1727815606,496.2890625,49.8
1727815606,496.2890625,50.0
1727815613,496.34375,50.0
1727815613,496.34375,37.5
1727815613,496.34375,50.0
1727815613,496.34375,58.7
1727815625,496.34765625,50.0
1727815625,496.34765625,36.4
1727815625,496.34765625,49.9
1727815625,496.34765625,56.8
1727815632,496.34765625,50.0
1727815632,496.34765625,47.4
1727815632,496.34765625,50.0
1727815632,496.34765625,56.5
1727815639,496.3125,50.0
1727815639,496.3125,55.3
1727815639,496.3125,49.9
1727815639,496.3125,44.4
1727815646,496.3046875,50.0
1727815646,496.3046875,54.3
1727815646,496.3046875,50.5
1727815646,496.3046875,39.4
1727815653,496.3515625,50.0
1727815653,496.3515625,37.5
1727815653,496.3515625,50.7
1727815653,496.3515625,40.6
1727815661,496.34375,50.0
1727815661,496.34375,52.1
1727815661,496.34375,49.9
1727815661,496.34375,39.4
1727815674,496.3203125,50.0
1727815674,496.3203125,55.3
1727815674,496.3203125,50.1
1727815674,496.3203125,39.4
1727815683,496.35546875,50.0
1727815683,496.35546875,53.2
1727815683,496.35546875,50.2
1727815683,496.35546875,39.4
1727815691,496.31640625,50.0
1727815691,496.31640625,47.5
1727815691,496.31640625,50.3
1727815691,496.31640625,42.4
1727815700,496.35546875,50.0
1727815700,496.35546875,56.8
1727815700,496.35546875,49.5
1727815700,496.35546875,55.6
1727815708,496.359375,50.0
1727815708,496.359375,37.5
1727815708,496.359375,50.8
1727815708,496.359375,38.7
1727815717,496.3125,50.0
1727815717,496.3125,54.3
1727815717,496.3125,49.8
1727815717,496.3125,55.6
1727815726,496.35546875,50.0
1727815726,496.35546875,55.3
1727815726,496.35546875,50.1
1727815726,496.35546875,38.7
1727815734,496.35546875,50.0
1727815734,496.35546875,55.3
1727815734,496.35546875,50.0
1727815734,496.35546875,41.2
1727815743,496.32421875,50.0
1727815743,496.32421875,54.3
1727815743,496.32421875,49.9
1727815743,496.32421875,37.5
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1727815752,496.34375,49.9
1727815752,496.34375,55.6
1727815760,496.35546875,50.0
1727815760,496.35546875,55.3
1727815760,496.35546875,49.7
1727815760,496.35546875,53.5
1727815769,496.31640625,50.0
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1727815786,496.35546875,49.9
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1727815803,496.359375,39.4
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1727815811,496.359375,47.5
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1727815820,496.3203125,50.0
1727815820,496.3203125,55.3
1727815820,496.3203125,50.1
1727815820,496.3203125,39.4
1727815828,496.34765625,50.0
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1727815829,496.34765625,50.4
1727815829,496.34765625,38.7
</pre><button class='copy_clipboard_button' onclick='copy_to_clipboard_from_id("pre_tab_main_worker_cpu_ram")'> Copy raw data to clipboard</button>
<button onclick='download_as_file("pre_tab_main_worker_cpu_ram", "cpu_ram_usage.csv")'> Download »cpu_ram_usage.csv« as file</button>
<h1> Parallel Plot</h1>
<div class="invert_in_dark_mode" id="parallel-plot"></div>
<h1> Job Status Distribution</h1>
<div class="invert_in_dark_mode" id="plotJobStatusDistribution"></div>
<h1> Boxplots</h1>
<div class="invert_in_dark_mode" id="plotBoxplot"></div>
<h1> Violin</h1>
<div class="invert_in_dark_mode" id="plotViolin"></div>
<h1> Histogram</h1>
<div class="invert_in_dark_mode" id="plotHistogram"></div>
<h1> Heatmap</h1>
<div class="invert_in_dark_mode" id="plotHeatmap"></div><br>
<h1>Correlation Heatmap Explanation</h1>
<p>
This is a heatmap that visualizes the correlation between numerical columns in a dataset. The values represented in the heatmap show the strength and direction of relationships between different variables.
</p>
<h2>How It Works</h2>
<p>
The heatmap uses a matrix to represent correlations between each pair of numerical columns. The calculation behind this is based on the concept of "correlation," which measures how strongly two variables are related. A correlation can be positive, negative, or zero:
</p>
<ul>
<li><strong>Positive correlation</strong>: Both variables increase or decrease together (e.g., if the temperature rises, ice cream sales increase).</li>
<li><strong>Negative correlation</strong>: As one variable increases, the other decreases (e.g., as the price of a product rises, the demand for it decreases).</li>
<li><strong>Zero correlation</strong>: There is no relationship between the two variables (e.g., height and shoe size might show zero correlation in some contexts).</li>
</ul>
<h2>Color Scale: Yellow to Purple (Viridis)</h2>
<p>
The heatmap uses a color scale called "Viridis," which ranges from yellow to purple. Here's what the colors represent:
</p>
<ul>
<li><strong>Yellow (brightest)</strong>: A strong positive correlation (close to +1). This indicates that as one variable increases, the other increases in a very predictable manner.</li>
<li><strong>Green</strong>: A moderate positive correlation. Variables are still positively related, but the relationship is not as strong.</li>
<li><strong>Blue</strong>: A weak or near-zero correlation. There is a small or no discernible relationship between the variables.</li>
<li><strong>Purple (darkest)</strong>: A strong negative correlation (close to -1). This indicates that as one variable increases, the other decreases in a very predictable manner.</li>
</ul>
<h2>What the Heatmap Shows</h2>
<p>
In the heatmap, each cell represents the correlation between two numerical columns. The color of the cell is determined by the correlation coefficient: from yellow for strong positive correlations, through green and blue for weaker correlations, to purple for strong negative correlations.
</p>
</body>
</html>
