| n_samples | n_windows | disjoint_training_windows | result |
|---|---|---|---|
| 346 | 150 | 1 | 0.264512 |
| 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 | 498 | 17 | 515 |
trial_index,arm_name,trial_status,generation_method,result,n_samples,n_windows,disjoint_training_windows 0,0_0,COMPLETED,Sobol,0.264511510078202394247171014285,374,28,True 1,1_0,COMPLETED,Sobol,0.290230201564048884144142448349,422,149,False 2,2_0,COMPLETED,Sobol,0.264511510078202394247171014285,223,144,True 3,3_0,COMPLETED,Sobol,0.264511510078202394247171014285,226,89,True 4,4_0,COMPLETED,Sobol,0.264511510078202394247171014285,871,127,True 5,5_0,COMPLETED,Sobol,0.264511510078202394247171014285,925,154,True 6,6_0,COMPLETED,Sobol,0.301960568344531332662938893918,234,193,False 7,7_0,COMPLETED,Sobol,0.297664941072805389055133673537,794,25,False 8,8_0,COMPLETED,Sobol,0.292653375922458436342310506006,509,131,False 9,9_0,COMPLETED,Sobol,0.264511510078202394247171014285,761,149,True 10,10_0,COMPLETED,Sobol,0.264511510078202394247171014285,524,65,True 11,11_0,COMPLETED,Sobol,0.300804053309835839336017215828,938,219,False 12,12_0,COMPLETED,Sobol,0.301244630465910323557920946769,269,46,False 13,13_0,COMPLETED,Sobol,0.270899878841282082397867725376,180,54,False 14,14_0,COMPLETED,Sobol,0.264511510078202394247171014285,333,121,True 15,15_0,COMPLETED,Sobol,0.264511510078202394247171014285,874,150,True 16,16_0,COMPLETED,Sobol,0.264511510078202394247171014285,200,50,True 17,17_0,COMPLETED,Sobol,0.264511510078202394247171014285,338,153,True 18,18_0,COMPLETED,Sobol,0.264511510078202394247171014285,987,238,True 19,19_0,COMPLETED,Sobol,0.264511510078202394247171014285,231,90,True 20,20_0,COMPLETED,BoTorch,0.264511510078202394247171014285,574,126,True 21,21_0,COMPLETED,BoTorch,0.264511510078202394247171014285,621,203,True 22,22_0,COMPLETED,BoTorch,0.264511510078202394247171014285,100,64,True 23,23_0,COMPLETED,BoTorch,0.264511510078202394247171014285,491,101,True 24,24_0,COMPLETED,BoTorch,0.264511510078202394247171014285,441,93,True 25,25_0,COMPLETED,BoTorch,0.264511510078202394247171014285,449,100,True 26,26_0,COMPLETED,BoTorch,0.264511510078202394247171014285,573,125,True 27,27_0,COMPLETED,BoTorch,0.264511510078202394247171014285,1000,188,True 28,28_0,COMPLETED,BoTorch,0.264511510078202394247171014285,100,60,True 29,29_0,COMPLETED,BoTorch,0.308404009252120303585797955748,320,154,False 30,30_0,COMPLETED,BoTorch,0.264511510078202394247171014285,100,69,True 31,31_0,COMPLETED,BoTorch,0.264511510078202394247171014285,100,51,True 32,32_0,COMPLETED,BoTorch,0.264511510078202394247171014285,612,115,True 33,33_0,COMPLETED,BoTorch,0.264511510078202394247171014285,313,86,True 34,34_0,COMPLETED,BoTorch,0.264511510078202394247171014285,289,73,True 35,35_0,COMPLETED,BoTorch,0.264511510078202394247171014285,268,81,True 36,36_0,COMPLETED,BoTorch,0.264511510078202394247171014285,483,250,True 37,37_0,COMPLETED,BoTorch,0.264511510078202394247171014285,574,119,True 38,38_0,COMPLETED,BoTorch,0.280592576274920180168237493490,100,25,False 39,39_0,COMPLETED,BoTorch,0.264511510078202394247171014285,592,119,True 40,40_0,COMPLETED,BoTorch,0.264511510078202394247171014285,354,90,True 41,38_0,COMPLETED,BoTorch,0.280592576274920180168237493490,100,25,False 42,42_0,COMPLETED,BoTorch,0.264511510078202394247171014285,312,84,True 43,43_0,COMPLETED,BoTorch,0.264511510078202394247171014285,563,131,True 44,44_0,COMPLETED,BoTorch,0.264511510078202394247171014285,336,88,True 45,45_0,COMPLETED,BoTorch,0.264511510078202394247171014285,186,64,True 46,46_0,COMPLETED,BoTorch,0.264511510078202394247171014285,589,136,True 47,47_0,COMPLETED,BoTorch,0.264511510078202394247171014285,198,74,True 48,48_0,COMPLETED,BoTorch,0.264511510078202394247171014285,618,142,True 49,49_0,COMPLETED,BoTorch,0.277894041193964103086955219624,100,35,True 50,50_0,COMPLETED,BoTorch,0.264511510078202394247171014285,572,135,True 51,51_0,COMPLETED,BoTorch,0.279656349818261928952267680870,100,34,True 52,52_0,COMPLETED,BoTorch,0.279656349818261928952267680870,100,25,True 53,53_0,COMPLETED,BoTorch,0.264511510078202394247171014285,569,139,True 54,54_0,COMPLETED,BoTorch,0.264511510078202394247171014285,100,70,True 55,55_0,COMPLETED,BoTorch,0.264511510078202394247171014285,594,139,True 56,56_0,COMPLETED,BoTorch,0.264511510078202394247171014285,607,161,True 57,57_0,COMPLETED,BoTorch,0.264511510078202394247171014285,612,168,True 58,58_0,COMPLETED,BoTorch,0.264511510078202394247171014285,592,160,True 59,38_0,COMPLETED,BoTorch,0.280592576274920180168237493490,100,25,False 60,60_0,COMPLETED,BoTorch,0.264511510078202394247171014285,698,188,True 61,61_0,COMPLETED,BoTorch,0.301850424055512767118614192441,960,189,False 62,62_0,COMPLETED,BoTorch,0.264511510078202394247171014285,633,172,True 63,63_0,COMPLETED,BoTorch,0.264511510078202394247171014285,1000,25,True 64,64_0,COMPLETED,BoTorch,0.264511510078202394247171014285,611,164,True 65,65_0,COMPLETED,BoTorch,0.279656349818261928952267680870,100,31,True 66,66_0,COMPLETED,BoTorch,0.264511510078202394247171014285,631,177,True 67,67_0,COMPLETED,BoTorch,0.264511510078202394247171014285,816,172,True 68,68_0,COMPLETED,BoTorch,0.264511510078202394247171014285,410,135,True 69,69_0,COMPLETED,BoTorch,0.264511510078202394247171014285,100,137,True 70,70_0,COMPLETED,BoTorch,0.264511510078202394247171014285,763,221,True 71,71_0,COMPLETED,BoTorch,0.282575173477255248144501820207,100,68,False 72,72_0,COMPLETED,BoTorch,0.264511510078202394247171014285,100,250,True 73,73_0,COMPLETED,BoTorch,0.302070712633549898207263595395,1000,151,False 74,74_0,COMPLETED,BoTorch,0.283566472078422782132633983565,100,70,False 75,75_0,COMPLETED,BoTorch,0.304879392003524651855173033255,100,250,False 76,76_0,COMPLETED,BoTorch,0.281528802731578320361904843594,100,65,False 77,77_0,COMPLETED,BoTorch,0.264511510078202394247171014285,706,235,True 78,78_0,COMPLETED,BoTorch,0.264511510078202394247171014285,1000,77,True 79,74_0,COMPLETED,BoTorch,0.283566472078422782132633983565,100,70,False 80,80_0,RUNNING,BoTorch,,100,73,False 81,81_0,RUNNING,BoTorch,,570,25,True 82,82_0,COMPLETED,BoTorch,0.264511510078202394247171014285,703,250,True 83,83_0,COMPLETED,BoTorch,0.264511510078202394247171014285,630,25,True 84,84_0,COMPLETED,BoTorch,0.264511510078202394247171014285,100,178,True 85,85_0,COMPLETED,BoTorch,0.264511510078202394247171014285,643,25,True 86,72_0,COMPLETED,BoTorch,0.264511510078202394247171014285,100,250,True 87,87_0,COMPLETED,BoTorch,0.264511510078202394247171014285,1000,64,True 88,88_0,COMPLETED,BoTorch,0.301575063332966131213197513716,956,192,False 89,89_0,COMPLETED,BoTorch,0.264511510078202394247171014285,483,138,True 90,72_0,COMPLETED,BoTorch,0.264511510078202394247171014285,100,250,True 91,91_0,COMPLETED,BoTorch,0.280317215552373655285123277281,100,40,False 92,92_0,COMPLETED,BoTorch,0.264511510078202394247171014285,313,225,True 93,93_0,COMPLETED,BoTorch,0.264511510078202394247171014285,296,250,True 94,94_0,COMPLETED,BoTorch,0.302346073356096534112680274120,1000,250,False 95,95_0,COMPLETED,BoTorch,0.264511510078202394247171014285,788,59,True 96,96_0,COMPLETED,BoTorch,0.264511510078202394247171014285,895,210,True 97,97_0,COMPLETED,BoTorch,0.264511510078202394247171014285,876,25,True 98,98_0,COMPLETED,BoTorch,0.264511510078202394247171014285,810,92,True 99,99_0,COMPLETED,BoTorch,0.264511510078202394247171014285,1000,108,True 100,100_0,COMPLETED,BoTorch,0.264511510078202394247171014285,1000,51,True 101,101_0,COMPLETED,BoTorch,0.264511510078202394247171014285,211,250,True 102,102_0,COMPLETED,BoTorch,0.264511510078202394247171014285,255,192,True 103,103_0,COMPLETED,BoTorch,0.264511510078202394247171014285,819,71,True 104,104_0,COMPLETED,BoTorch,0.264511510078202394247171014285,860,41,True 105,105_0,COMPLETED,BoTorch,0.264511510078202394247171014285,100,217,True 106,106_0,COMPLETED,BoTorch,0.264511510078202394247171014285,779,73,True 107,107_0,COMPLETED,BoTorch,0.264511510078202394247171014285,925,67,True 108,108_0,COMPLETED,BoTorch,0.264511510078202394247171014285,138,114,True 109,109_0,COMPLETED,BoTorch,0.264511510078202394247171014285,689,108,True 110,110_0,COMPLETED,BoTorch,0.264511510078202394247171014285,532,218,True 111,111_0,COMPLETED,BoTorch,0.264511510078202394247171014285,185,173,True 112,112_0,COMPLETED,BoTorch,0.264511510078202394247171014285,535,217,True 113,113_0,COMPLETED,BoTorch,0.290891067298160610476998044760,532,250,False 114,114_0,COMPLETED,BoTorch,0.264511510078202394247171014285,493,212,True 115,115_0,COMPLETED,BoTorch,0.264511510078202394247171014285,553,229,True 116,116_0,COMPLETED,BoTorch,0.264511510078202394247171014285,443,158,True 117,117_0,COMPLETED,BoTorch,0.264511510078202394247171014285,542,218,True 118,118_0,COMPLETED,BoTorch,0.264511510078202394247171014285,147,122,True 119,119_0,COMPLETED,BoTorch,0.264511510078202394247171014285,527,214,True 120,120_0,COMPLETED,BoTorch,0.264511510078202394247171014285,898,106,True 121,121_0,COMPLETED,BoTorch,0.264511510078202394247171014285,147,123,True 122,122_0,COMPLETED,BoTorch,0.264511510078202394247171014285,408,166,True 123,123_0,COMPLETED,BoTorch,0.292157726621874669348244424327,494,113,False 124,124_0,COMPLETED,BoTorch,0.264511510078202394247171014285,674,112,True 125,125_0,COMPLETED,BoTorch,0.264511510078202394247171014285,460,213,True 126,126_0,COMPLETED,BoTorch,0.264511510078202394247171014285,494,25,True 127,127_0,COMPLETED,BoTorch,0.264511510078202394247171014285,100,126,True 128,128_0,COMPLETED,BoTorch,0.264511510078202394247171014285,436,54,True 129,129_0,COMPLETED,BoTorch,0.264511510078202394247171014285,397,154,True 130,130_0,COMPLETED,BoTorch,0.264511510078202394247171014285,615,54,True 131,131_0,COMPLETED,BoTorch,0.264511510078202394247171014285,401,153,True 132,132_0,COMPLETED,BoTorch,0.264511510078202394247171014285,771,31,True 133,133_0,COMPLETED,BoTorch,0.264511510078202394247171014285,919,65,True 134,134_0,COMPLETED,BoTorch,0.264511510078202394247171014285,509,206,True 135,135_0,COMPLETED,BoTorch,0.264511510078202394247171014285,193,182,True 136,136_0,COMPLETED,BoTorch,0.264511510078202394247171014285,927,62,True 137,137_0,COMPLETED,BoTorch,0.286154862870360182647289093438,137,25,False 138,138_0,COMPLETED,BoTorch,0.297609868928296106282971322798,1000,25,False 139,139_0,COMPLETED,BoTorch,0.303172155523736108762022922747,586,190,False 140,140_0,COMPLETED,BoTorch,0.264511510078202394247171014285,686,75,True 141,141_0,COMPLETED,BoTorch,0.293149025223042203336376587686,258,80,False 142,142_0,COMPLETED,BoTorch,0.264511510078202394247171014285,297,143,True 143,143_0,COMPLETED,BoTorch,0.295021478136358594746013750409,294,83,False 144,144_0,COMPLETED,BoTorch,0.264511510078202394247171014285,567,71,True 145,145_0,COMPLETED,BoTorch,0.303337371957264068100812437478,580,196,False 146,146_0,COMPLETED,BoTorch,0.264511510078202394247171014285,532,82,True 147,147_0,COMPLETED,BoTorch,0.264511510078202394247171014285,701,47,True 148,148_0,COMPLETED,BoTorch,0.264511510078202394247171014285,558,192,True 149,149_0,COMPLETED,BoTorch,0.264511510078202394247171014285,305,140,True 150,150_0,COMPLETED,BoTorch,0.305264897015089742282611950941,586,197,False 151,151_0,COMPLETED,BoTorch,0.264511510078202394247171014285,1000,199,True 152,152_0,COMPLETED,BoTorch,0.302731578367661624540119191806,578,194,False 153,153_0,COMPLETED,BoTorch,0.303998237691375683411365571374,588,200,False 154,154_0,COMPLETED,BoTorch,0.264511510078202394247171014285,905,167,True 155,155_0,COMPLETED,BoTorch,0.264511510078202394247171014285,831,235,True 156,156_0,COMPLETED,BoTorch,0.264511510078202394247171014285,870,192,True 157,157_0,COMPLETED,BoTorch,0.264511510078202394247171014285,140,91,True 158,158_0,COMPLETED,BoTorch,0.264511510078202394247171014285,391,230,True 159,159_0,COMPLETED,BoTorch,0.264511510078202394247171014285,246,227,True 160,160_0,COMPLETED,BoTorch,0.264511510078202394247171014285,443,183,True 161,161_0,COMPLETED,BoTorch,0.264511510078202394247171014285,851,224,True 162,162_0,COMPLETED,BoTorch,0.264511510078202394247171014285,611,93,True 163,163_0,COMPLETED,BoTorch,0.264511510078202394247171014285,679,163,True 164,164_0,COMPLETED,BoTorch,0.264511510078202394247171014285,394,230,True 165,165_0,COMPLETED,BoTorch,0.264511510078202394247171014285,151,91,True 166,166_0,COMPLETED,BoTorch,0.264511510078202394247171014285,657,133,True 167,167_0,COMPLETED,BoTorch,0.264511510078202394247171014285,695,125,True 168,168_0,COMPLETED,BoTorch,0.299977971142196264686674567201,1000,75,False 169,169_0,COMPLETED,BoTorch,0.264511510078202394247171014285,749,171,True 170,170_0,COMPLETED,BoTorch,0.264511510078202394247171014285,886,76,True 171,171_0,COMPLETED,BoTorch,0.264511510078202394247171014285,446,118,True 172,172_0,COMPLETED,BoTorch,0.264511510078202394247171014285,481,232,True 173,173_0,COMPLETED,BoTorch,0.264511510078202394247171014285,542,56,True 174,174_0,COMPLETED,BoTorch,0.264511510078202394247171014285,916,47,True 175,175_0,COMPLETED,BoTorch,0.264511510078202394247171014285,896,85,True 176,176_0,COMPLETED,BoTorch,0.264511510078202394247171014285,305,162,True 177,177_0,COMPLETED,BoTorch,0.264511510078202394247171014285,406,188,True 178,178_0,COMPLETED,BoTorch,0.264511510078202394247171014285,368,138,True 179,179_0,COMPLETED,BoTorch,0.264511510078202394247171014285,378,189,True 180,180_0,COMPLETED,BoTorch,0.264511510078202394247171014285,916,48,True 181,181_0,COMPLETED,BoTorch,0.264511510078202394247171014285,447,231,True 182,182_0,COMPLETED,BoTorch,0.264511510078202394247171014285,508,156,True 183,183_0,COMPLETED,BoTorch,0.264511510078202394247171014285,537,148,True 184,184_0,COMPLETED,BoTorch,0.297995373939861196710410240485,454,172,False 185,185_0,COMPLETED,BoTorch,0.264511510078202394247171014285,538,162,True 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408,408_0,COMPLETED,BoTorch,0.264511510078202394247171014285,528,250,True 409,409_0,COMPLETED,BoTorch,0.264511510078202394247171014285,769,111,True 410,410_0,COMPLETED,BoTorch,0.264511510078202394247171014285,768,112,True 411,411_0,COMPLETED,BoTorch,0.264511510078202394247171014285,291,151,True 412,412_0,COMPLETED,BoTorch,0.264511510078202394247171014285,632,25,True 413,413_0,COMPLETED,BoTorch,0.264511510078202394247171014285,338,50,True 414,409_0,COMPLETED,BoTorch,0.264511510078202394247171014285,769,111,True 415,409_0,COMPLETED,BoTorch,0.264511510078202394247171014285,769,111,True 416,416_0,COMPLETED,BoTorch,0.264511510078202394247171014285,770,112,True 417,417_0,COMPLETED,BoTorch,0.264511510078202394247171014285,142,63,True 418,418_0,COMPLETED,BoTorch,0.264511510078202394247171014285,339,50,True 419,419_0,COMPLETED,BoTorch,0.303888093402357117867040869896,335,195,False 420,420_0,COMPLETED,BoTorch,0.264511510078202394247171014285,291,152,True 421,411_0,COMPLETED,BoTorch,0.264511510078202394247171014285,291,151,True 422,422_0,COMPLETED,BoTorch,0.264511510078202394247171014285,291,153,True 423,423_0,COMPLETED,BoTorch,0.264511510078202394247171014285,290,151,True 424,424_0,COMPLETED,BoTorch,0.264511510078202394247171014285,942,204,True 425,425_0,COMPLETED,BoTorch,0.264511510078202394247171014285,652,197,True 426,426_0,COMPLETED,BoTorch,0.264511510078202394247171014285,942,205,True 427,427_0,COMPLETED,BoTorch,0.264511510078202394247171014285,357,48,True 428,428_0,COMPLETED,BoTorch,0.264511510078202394247171014285,703,84,True 429,425_0,COMPLETED,BoTorch,0.264511510078202394247171014285,652,197,True 430,425_0,COMPLETED,BoTorch,0.264511510078202394247171014285,652,197,True 431,424_0,COMPLETED,BoTorch,0.264511510078202394247171014285,942,204,True 432,424_0,COMPLETED,BoTorch,0.264511510078202394247171014285,942,204,True 433,427_0,COMPLETED,BoTorch,0.264511510078202394247171014285,357,48,True 434,424_0,COMPLETED,BoTorch,0.264511510078202394247171014285,942,204,True 435,435_0,COMPLETED,BoTorch,0.264511510078202394247171014285,356,48,True 436,436_0,COMPLETED,BoTorch,0.264511510078202394247171014285,810,137,True 437,437_0,COMPLETED,BoTorch,0.264511510078202394247171014285,705,84,True 438,438_0,COMPLETED,BoTorch,0.293369313801079445447328453156,810,137,False 439,439_0,COMPLETED,BoTorch,0.264511510078202394247171014285,406,77,True 440,440_0,COMPLETED,BoTorch,0.264511510078202394247171014285,942,203,True 441,441_0,COMPLETED,BoTorch,0.264511510078202394247171014285,270,25,True 442,442_0,COMPLETED,BoTorch,0.264511510078202394247171014285,902,120,True 443,443_0,COMPLETED,BoTorch,0.264511510078202394247171014285,866,168,True 444,444_0,COMPLETED,BoTorch,0.264511510078202394247171014285,312,179,True 445,445_0,COMPLETED,BoTorch,0.264511510078202394247171014285,634,41,True 446,446_0,COMPLETED,BoTorch,0.264511510078202394247171014285,182,226,True 447,447_0,COMPLETED,BoTorch,0.264511510078202394247171014285,319,184,True 448,448_0,COMPLETED,BoTorch,0.264511510078202394247171014285,270,124,True 449,449_0,COMPLETED,BoTorch,0.264511510078202394247171014285,662,38,True 450,450_0,COMPLETED,BoTorch,0.264511510078202394247171014285,683,147,True 451,451_0,COMPLETED,BoTorch,0.264511510078202394247171014285,820,148,True 452,452_0,COMPLETED,BoTorch,0.264511510078202394247171014285,180,227,True 453,453_0,COMPLETED,BoTorch,0.264511510078202394247171014285,161,92,True 454,454_0,COMPLETED,BoTorch,0.264511510078202394247171014285,905,127,True 455,455_0,COMPLETED,BoTorch,0.264511510078202394247171014285,821,162,True 456,456_0,COMPLETED,BoTorch,0.264511510078202394247171014285,184,225,True 457,457_0,COMPLETED,BoTorch,0.264511510078202394247171014285,922,222,True 458,458_0,COMPLETED,BoTorch,0.264511510078202394247171014285,273,60,True 459,459_0,COMPLETED,BoTorch,0.264511510078202394247171014285,192,96,True 460,460_0,COMPLETED,BoTorch,0.264511510078202394247171014285,924,101,True 461,461_0,COMPLETED,BoTorch,0.264511510078202394247171014285,271,168,True 462,462_0,COMPLETED,BoTorch,0.264511510078202394247171014285,640,53,True 463,463_0,COMPLETED,BoTorch,0.264511510078202394247171014285,197,95,True 464,464_0,COMPLETED,BoTorch,0.264511510078202394247171014285,922,98,True 465,465_0,COMPLETED,BoTorch,0.264511510078202394247171014285,378,123,True 466,466_0,COMPLETED,BoTorch,0.264511510078202394247171014285,695,199,True 467,467_0,COMPLETED,BoTorch,0.264511510078202394247171014285,840,72,True 468,468_0,COMPLETED,BoTorch,0.264511510078202394247171014285,398,45,True 469,469_0,COMPLETED,BoTorch,0.264511510078202394247171014285,898,192,True 470,470_0,COMPLETED,BoTorch,0.264511510078202394247171014285,693,199,True 471,471_0,COMPLETED,BoTorch,0.264511510078202394247171014285,399,46,True 472,472_0,COMPLETED,BoTorch,0.264511510078202394247171014285,274,141,True 473,469_0,COMPLETED,BoTorch,0.264511510078202394247171014285,898,192,True 474,474_0,COMPLETED,BoTorch,0.264511510078202394247171014285,691,199,True 475,475_0,COMPLETED,BoTorch,0.264511510078202394247171014285,896,193,True 476,476_0,COMPLETED,BoTorch,0.264511510078202394247171014285,841,70,True 477,477_0,COMPLETED,BoTorch,0.264511510078202394247171014285,694,199,True 478,478_0,COMPLETED,BoTorch,0.264511510078202394247171014285,841,72,True 479,479_0,COMPLETED,BoTorch,0.264511510078202394247171014285,143,202,True 480,477_0,COMPLETED,BoTorch,0.264511510078202394247171014285,694,199,True 481,467_0,COMPLETED,BoTorch,0.264511510078202394247171014285,840,72,True 482,482_0,COMPLETED,BoTorch,0.264511510078202394247171014285,217,219,True 483,483_0,COMPLETED,BoTorch,0.264511510078202394247171014285,700,147,True 484,484_0,COMPLETED,BoTorch,0.264511510078202394247171014285,342,133,True 485,485_0,COMPLETED,BoTorch,0.264511510078202394247171014285,705,146,True 486,486_0,COMPLETED,BoTorch,0.264511510078202394247171014285,732,152,True 487,487_0,COMPLETED,BoTorch,0.264511510078202394247171014285,721,148,True 488,488_0,COMPLETED,BoTorch,0.264511510078202394247171014285,824,139,True 489,489_0,COMPLETED,BoTorch,0.264511510078202394247171014285,336,143,True 490,490_0,COMPLETED,BoTorch,0.264511510078202394247171014285,810,151,True 491,491_0,COMPLETED,BoTorch,0.264511510078202394247171014285,849,130,True 492,492_0,COMPLETED,BoTorch,0.264511510078202394247171014285,574,226,True 493,493_0,COMPLETED,BoTorch,0.264511510078202394247171014285,744,101,True 494,494_0,COMPLETED,BoTorch,0.264511510078202394247171014285,803,150,True 495,495_0,COMPLETED,BoTorch,0.264511510078202394247171014285,718,152,True 496,496_0,COMPLETED,BoTorch,0.264511510078202394247171014285,796,154,True 497,497_0,COMPLETED,BoTorch,0.264511510078202394247171014285,335,141,True 498,498_0,COMPLETED,BoTorch,0.264511510078202394247171014285,603,223,True 499,499_0,COMPLETED,BoTorch,0.264511510078202394247171014285,191,102,True 500,500_0,COMPLETED,BoTorch,0.264511510078202394247171014285,346,150,True 501,501_0,RUNNING,BoTorch,,783,144,True 502,502_0,RUNNING,BoTorch,,559,221,True 503,503_0,RUNNING,BoTorch,,839,121,True 504,504_0,RUNNING,BoTorch,,782,140,True 505,505_0,RUNNING,BoTorch,,740,130,True 506,506_0,RUNNING,BoTorch,,565,221,True 507,507_0,RUNNING,BoTorch,,564,222,True 508,508_0,RUNNING,BoTorch,,836,121,True 509,509_0,RUNNING,BoTorch,,201,100,True 510,510_0,RUNNING,BoTorch,,356,145,True 511,511_0,RUNNING,BoTorch,,776,144,True 512,512_0,RUNNING,BoTorch,,418,132,True 513,513_0,RUNNING,BoTorch,,200,100,True 514,514_0,RUNNING,BoTorch,,291,189,True
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 1727408857,1727408877,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 374 n_windows 28 disjoint_training_windows True,374,28,True,0.2645115100782024,0,None,i7186,12,0 1727408897,1727408911,14,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 422 n_windows 149 disjoint_training_windows False,422,149,False,0.2902302015640489,0,None,i7186,10,0.0011981912521619536 1727408917,1727408929,12,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 223 n_windows 144 disjoint_training_windows True,223,144,True,0.2645115100782024,0,None,i7186,8,0 1727408937,1727408950,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 226 n_windows 89 disjoint_training_windows True,226,89,True,0.2645115100782024,0,None,i7186,9,0 1727408957,1727408970,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 871 n_windows 127 disjoint_training_windows True,871,127,True,0.2645115100782024,0,None,i7186,8,0 1727408977,1727408990,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 925 n_windows 154 disjoint_training_windows True,925,154,True,0.2645115100782024,0,None,i7186,8,0 1727408997,1727409013,16,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 234 n_windows 193 disjoint_training_windows False,234,193,False,0.30196056834453133,0,None,i7186,12,0.0018112616416394352 1727409018,1727409031,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 794 n_windows 25 disjoint_training_windows False,794,25,False,0.2976649410728054,0,None,i7186,9,0.00167719712823799 1727409038,1727409052,14,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 509 n_windows 131 disjoint_training_windows False,509,131,False,0.29265337592245844,0,None,i7186,10,0.001396996732386091 1727409058,1727409071,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 761 n_windows 149 disjoint_training_windows True,761,149,True,0.2645115100782024,0,None,i7186,9,0 1727409078,1727409091,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 524 n_windows 65 disjoint_training_windows True,524,65,True,0.2645115100782024,0,None,i7186,8,0 1727409098,1727409112,14,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 938 n_windows 219 disjoint_training_windows False,938,219,False,0.30080405330983584,0,None,i7186,10,0.001985836740247372 1727409118,1727409132,14,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 269 n_windows 46 disjoint_training_windows False,269,46,False,0.3012446304659103,0,None,i7186,10,0.0006170119894098304 1727409138,1727409151,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 180 n_windows 54 disjoint_training_windows False,180,54,False,0.2708998788412821,0,None,i7186,9,0.0006408394997446651 1727409158,1727409171,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 333 n_windows 121 disjoint_training_windows True,333,121,True,0.2645115100782024,0,None,i7186,8,0 1727409178,1727409191,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 874 n_windows 150 disjoint_training_windows True,874,150,True,0.2645115100782024,0,None,i7186,8,0 1727409198,1727409213,15,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 200 n_windows 50 disjoint_training_windows True,200,50,True,0.2645115100782024,0,None,i7186,10,0 1727409218,1727409231,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 338 n_windows 153 disjoint_training_windows True,338,153,True,0.2645115100782024,0,None,i7186,9,0 1727409238,1727409251,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 987 n_windows 238 disjoint_training_windows True,987,238,True,0.2645115100782024,0,None,i7186,9,0 1727409258,1727409271,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 231 n_windows 90 disjoint_training_windows True,231,90,True,0.2645115100782024,0,None,i7186,8,0 1727410607,1727410620,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 574 n_windows 126 disjoint_training_windows True,574,126,True,0.2645115100782024,0,None,i7186,8,0 1727410624,1727410637,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 621 n_windows 203 disjoint_training_windows True,621,203,True,0.2645115100782024,0,None,i7186,8,0 1727410647,1727410661,14,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 100 n_windows 64 disjoint_training_windows True,100,64,True,0.2645115100782024,0,None,i7186,10,0 1727410667,1727410679,12,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 491 n_windows 101 disjoint_training_windows True,491,101,True,0.2645115100782024,0,None,i7186,8,0 1727410685,1727410697,12,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 441 n_windows 93 disjoint_training_windows True,441,93,True,0.2645115100782024,0,None,i7186,8,0 1727410707,1727410720,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 449 n_windows 100 disjoint_training_windows True,449,100,True,0.2645115100782024,0,None,i7186,9,0 1727410727,1727410740,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 573 n_windows 125 disjoint_training_windows True,573,125,True,0.2645115100782024,0,None,i7186,8,0 1727410746,1727410758,12,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 1000 n_windows 188 disjoint_training_windows True,1000,188,True,0.2645115100782024,0,None,i7186,8,0 1727410767,1727410782,15,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 100 n_windows 60 disjoint_training_windows True,100,60,True,0.2645115100782024,0,None,i7186,11,0 1727410788,1727410803,15,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 320 n_windows 154 disjoint_training_windows False,320,154,False,0.3084040092521203,0,None,i7186,12,0.0008719756213973622 1727410807,1727410821,14,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 100 n_windows 69 disjoint_training_windows True,100,69,True,0.2645115100782024,0,None,i7186,10,0 1727410827,1727410842,15,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 100 n_windows 51 disjoint_training_windows True,100,51,True,0.2645115100782024,0,None,i7186,11,0 1727410847,1727410860,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 612 n_windows 115 disjoint_training_windows True,612,115,True,0.2645115100782024,0,None,i7186,8,0 1727410866,1727410879,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 313 n_windows 86 disjoint_training_windows True,313,86,True,0.2645115100782024,0,None,i7186,9,0 1727410888,1727410900,12,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 289 n_windows 73 disjoint_training_windows True,289,73,True,0.2645115100782024,0,None,i7186,9,0 1727410908,1727410920,12,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 268 n_windows 81 disjoint_training_windows True,268,81,True,0.2645115100782024,0,None,i7186,9,0 1727410927,1727410940,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 483 n_windows 250 disjoint_training_windows True,483,250,True,0.2645115100782024,0,None,i7186,8,0 1727410948,1727410960,12,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 574 n_windows 119 disjoint_training_windows True,574,119,True,0.2645115100782024,0,None,i7186,8,0 1727410968,1727410981,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.2805925762749202,0,None,i7186,9,0.0003359400815067734 1727410987,1727410999,12,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 592 n_windows 119 disjoint_training_windows True,592,119,True,0.2645115100782024,0,None,i7186,8,0 1727411008,1727411020,12,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 354 n_windows 90 disjoint_training_windows True,354,90,True,0.2645115100782024,0,None,i7186,8,0 1727411028,1727411041,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.2805925762749202,0,None,i7186,9,0.0003359400815067734 1727411047,1727411060,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 312 n_windows 84 disjoint_training_windows True,312,84,True,0.2645115100782024,0,None,i7186,8,0 1727411068,1727411080,12,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 563 n_windows 131 disjoint_training_windows True,563,131,True,0.2645115100782024,0,None,i7186,9,0 1727411088,1727411100,12,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 336 n_windows 88 disjoint_training_windows True,336,88,True,0.2645115100782024,0,None,i7186,8,0 1727411108,1727411122,14,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 186 n_windows 64 disjoint_training_windows True,186,64,True,0.2645115100782024,0,None,i7186,10,0 1727411128,1727411140,12,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 589 n_windows 136 disjoint_training_windows True,589,136,True,0.2645115100782024,0,None,i7186,8,0 1727411148,1727411161,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 198 n_windows 74 disjoint_training_windows True,198,74,True,0.2645115100782024,0,None,i7186,9,0 1727411168,1727411181,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 618 n_windows 142 disjoint_training_windows True,618,142,True,0.2645115100782024,0,None,i7186,9,0 1727411188,1727411203,15,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 100 n_windows 35 disjoint_training_windows True,100,35,True,0.2778940411939641,0,None,i7186,11,0.056669236700077064 1727411208,1727411221,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 572 n_windows 135 disjoint_training_windows True,572,135,True,0.2645115100782024,0,None,i7186,9,0 1727411228,1727411243,15,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 100 n_windows 34 disjoint_training_windows True,100,34,True,0.27965634981826193,0,None,i7186,11,0.05490692807577924 1727411248,1727411263,15,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows True,100,25,True,0.27965634981826193,0,None,i7186,11,0.05490692807577924 1727411268,1727411284,16,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 569 n_windows 139 disjoint_training_windows True,569,139,True,0.2645115100782024,0,None,i7186,8,0 1727411289,1727411303,14,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 100 n_windows 70 disjoint_training_windows True,100,70,True,0.2645115100782024,0,None,i7186,10,0 1727411308,1727411321,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 594 n_windows 139 disjoint_training_windows True,594,139,True,0.2645115100782024,0,None,i7186,8,0 1727411329,1727411342,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 607 n_windows 161 disjoint_training_windows True,607,161,True,0.2645115100782024,0,None,i7186,9,0 1727411348,1727411361,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 612 n_windows 168 disjoint_training_windows True,612,168,True,0.2645115100782024,0,None,i7186,9,0 1727411368,1727411381,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 592 n_windows 160 disjoint_training_windows True,592,160,True,0.2645115100782024,0,None,i7186,8,0 1727411389,1727411402,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 100 n_windows 25 disjoint_training_windows False,100,25,False,0.2805925762749202,0,None,i7186,9,0.0003359400815067734 1727411408,1727411421,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 698 n_windows 188 disjoint_training_windows True,698,188,True,0.2645115100782024,0,None,i7186,9,0 1727411428,1727411442,14,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 960 n_windows 189 disjoint_training_windows False,960,189,False,0.30185042405551277,0,None,i7186,10,0.0019242855199134352 1727411448,1727411461,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 633 n_windows 172 disjoint_training_windows True,633,172,True,0.2645115100782024,0,None,i7186,9,0 1727411469,1727411482,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 1000 n_windows 25 disjoint_training_windows True,1000,25,True,0.2645115100782024,0,None,i7186,9,0 1727411488,1727411501,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 611 n_windows 164 disjoint_training_windows True,611,164,True,0.2645115100782024,0,None,i7186,8,0 1727411508,1727411523,15,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 100 n_windows 31 disjoint_training_windows True,100,31,True,0.27965634981826193,0,None,i7186,11,0.05490692807577924 1727411529,1727411541,12,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 631 n_windows 177 disjoint_training_windows True,631,177,True,0.2645115100782024,0,None,i7186,9,0 1727411549,1727411561,12,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 816 n_windows 172 disjoint_training_windows True,816,172,True,0.2645115100782024,0,None,i7186,8,0 1727411569,1727411582,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 410 n_windows 135 disjoint_training_windows True,410,135,True,0.2645115100782024,0,None,i7186,8,0 1727411589,1727411602,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 100 n_windows 137 disjoint_training_windows True,100,137,True,0.2645115100782024,0,None,i7186,9,0 1727411609,1727411621,12,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 763 n_windows 221 disjoint_training_windows True,763,221,True,0.2645115100782024,0,None,i7186,8,0 1727411629,1727411642,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 100 n_windows 68 disjoint_training_windows False,100,68,False,0.28257517347725525,0,None,i7186,10,0.0004243263593340055 1727411649,1727411661,12,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 100 n_windows 250 disjoint_training_windows True,100,250,True,0.2645115100782024,0,None,i7186,9,0 1727411669,1727411683,14,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 1000 n_windows 151 disjoint_training_windows False,1000,151,False,0.3020707126335499,0,None,i7186,10,0.0020307853287807043 1727411689,1727411702,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 100 n_windows 70 disjoint_training_windows False,100,70,False,0.2835664720784228,0,None,i7186,10,0.00042313764364650954 1727411709,1727411723,14,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 100 n_windows 250 disjoint_training_windows False,100,250,False,0.30487939200352465,0,None,i7186,11,0.0009894628630172171 1727411729,1727411742,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 100 n_windows 65 disjoint_training_windows False,100,65,False,0.2815288027315783,0,None,i7186,10,0.00042938363076768784 1727411749,1727411761,12,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 706 n_windows 235 disjoint_training_windows True,706,235,True,0.2645115100782024,0,None,i7186,9,0 1727411769,1727411781,12,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 1000 n_windows 77 disjoint_training_windows True,1000,77,True,0.2645115100782024,0,None,i7186,9,0 1727411789,1727411802,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 100 n_windows 70 disjoint_training_windows False,100,70,False,0.2835664720784228,0,None,i7186,10,0.00042313764364650954 1727411809,1727411822,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 703 n_windows 250 disjoint_training_windows True,703,250,True,0.2645115100782024,0,None,i7186,8,0 1727411829,1727411842,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 630 n_windows 25 disjoint_training_windows True,630,25,True,0.2645115100782024,0,None,i7186,10,0 1727411849,1727411861,12,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 100 n_windows 250 disjoint_training_windows True,100,250,True,0.2645115100782024,0,None,i7037,8,0 1727411849,1727411861,12,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 1000 n_windows 64 disjoint_training_windows True,1000,64,True,0.2645115100782024,0,None,i7037,8,0 1727411833,1727411861,28,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 100 n_windows 178 disjoint_training_windows True,100,178,True,0.2645115100782024,0,None,i7037,8,0 1727411827,1727411862,35,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 100 n_windows 73 disjoint_training_windows False,100,73,False,0.2815838748760877,0,None,i7037,9,0.00045877490817318445 1727411849,1727411863,14,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 643 n_windows 25 disjoint_training_windows True,643,25,True,0.2645115100782024,0,None,i7186,9,0 1727411849,1727411863,14,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 956 n_windows 192 disjoint_training_windows False,956,192,False,0.30157506333296613,0,None,i7037,10,0.001940483209475002 1727411827,1727411863,36,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 570 n_windows 25 disjoint_training_windows True,570,25,True,0.2645115100782024,0,None,i7037,10,0 1727411864,1727411875,11,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 100 n_windows 250 disjoint_training_windows True,100,250,True,0.2645115100782024,0,None,i7037,8,0 1727411864,1727411875,11,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 483 n_windows 138 disjoint_training_windows True,483,138,True,0.2645115100782024,0,None,i7037,8,0 1727411869,1727411881,12,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 313 n_windows 225 disjoint_training_windows True,313,225,True,0.2645115100782024,0,None,i7037,8,0 1727411869,1727411881,12,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 788 n_windows 59 disjoint_training_windows True,788,59,True,0.2645115100782024,0,None,i7037,8,0 1727411869,1727411881,12,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 895 n_windows 210 disjoint_training_windows True,895,210,True,0.2645115100782024,0,None,i7037,8,0 1727411869,1727411881,12,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 876 n_windows 25 disjoint_training_windows True,876,25,True,0.2645115100782024,0,None,i7037,8,0 1727411869,1727411882,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 100 n_windows 40 disjoint_training_windows False,100,40,False,0.28031721555237366,0,None,i7186,9,0.0003577865812160945 1727411870,1727411882,12,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 296 n_windows 250 disjoint_training_windows True,296,250,True,0.2645115100782024,0,None,i7037,8,0 1727411869,1727411884,15,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 1000 n_windows 250 disjoint_training_windows False,1000,250,False,0.30234607335609653,0,None,i7037,11,0.0021478136358629757 1727411889,1727411901,12,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 1000 n_windows 51 disjoint_training_windows True,1000,51,True,0.2645115100782024,0,None,i7037,8,0 1727411889,1727411901,12,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 1000 n_windows 108 disjoint_training_windows True,1000,108,True,0.2645115100782024,0,None,i7037,8,0 1727411889,1727411902,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 211 n_windows 250 disjoint_training_windows True,211,250,True,0.2645115100782024,0,None,i7037,8,0 1727411889,1727411902,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 810 n_windows 92 disjoint_training_windows True,810,92,True,0.2645115100782024,0,None,i7186,8,0 1727411924,1727411937,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 255 n_windows 192 disjoint_training_windows True,255,192,True,0.2645115100782024,0,None,i7186,9,0 1727411949,1727411962,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 819 n_windows 71 disjoint_training_windows True,819,71,True,0.2645115100782024,0,None,i7186,8,0 1727411969,1727411982,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 860 n_windows 41 disjoint_training_windows True,860,41,True,0.2645115100782024,0,None,i7186,8,0 1727411984,1727411996,12,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 100 n_windows 217 disjoint_training_windows True,100,217,True,0.2645115100782024,0,None,i7037,8,0 1727411989,1727412001,12,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 779 n_windows 73 disjoint_training_windows True,779,73,True,0.2645115100782024,0,None,i7186,8,0 1727412171,1727412209,38,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 898 n_windows 106 disjoint_training_windows True,898,106,True,0.2645115100782024,0,None,i7139,6,0 1727412171,1727412209,38,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 147 n_windows 122 disjoint_training_windows True,147,122,True,0.2645115100782024,0,None,i7139,6,0 1727412171,1727412209,38,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 527 n_windows 214 disjoint_training_windows True,527,214,True,0.2645115100782024,0,None,i7139,6,0 1727412171,1727412209,38,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 443 n_windows 158 disjoint_training_windows True,443,158,True,0.2645115100782024,0,None,i7139,6,0 1727412171,1727412209,38,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 542 n_windows 218 disjoint_training_windows True,542,218,True,0.2645115100782024,0,None,i7139,7,0 1727412153,1727412209,56,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 553 n_windows 229 disjoint_training_windows True,553,229,True,0.2645115100782024,0,None,i7147,7,0 1727412152,1727412210,58,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 689 n_windows 108 disjoint_training_windows True,689,108,True,0.2645115100782024,0,None,i7147,8,0 1727412152,1727412210,58,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 535 n_windows 217 disjoint_training_windows True,535,217,True,0.2645115100782024,0,None,i7147,8,0 1727412152,1727412210,58,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 532 n_windows 218 disjoint_training_windows True,532,218,True,0.2645115100782024,0,None,i7147,8,0 1727412152,1727412210,58,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 185 n_windows 173 disjoint_training_windows True,185,173,True,0.2645115100782024,0,None,i7147,8,0 1727412152,1727412210,58,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 493 n_windows 212 disjoint_training_windows True,493,212,True,0.2645115100782024,0,None,i7147,8,0 1727412152,1727412210,58,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 925 n_windows 67 disjoint_training_windows True,925,67,True,0.2645115100782024,0,None,i7147,8,0 1727412152,1727412210,58,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 138 n_windows 114 disjoint_training_windows True,138,114,True,0.2645115100782024,0,None,i7147,8,0 1727412152,1727412214,62,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 532 n_windows 250 disjoint_training_windows False,532,250,False,0.2908910672981606,0,None,i7147,12,0.0024262339219933643 1727412225,1727412237,12,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 147 n_windows 123 disjoint_training_windows True,147,123,True,0.2645115100782024,0,None,i7147,8,0 1727412254,1727412265,11,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 674 n_windows 112 disjoint_training_windows True,674,112,True,0.2645115100782024,0,None,i7147,8,0 1727412254,1727412265,11,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 408 n_windows 166 disjoint_training_windows True,408,166,True,0.2645115100782024,0,None,i7147,8,0 1727412254,1727412266,12,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 494 n_windows 113 disjoint_training_windows False,494,113,False,0.29215772662187467,0,None,i7147,9,0.001325173477255203 1727412453,1727412464,11,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 460 n_windows 213 disjoint_training_windows True,460,213,True,0.2645115100782024,0,None,i7147,7,0 1727412453,1727412466,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 494 n_windows 25 disjoint_training_windows True,494,25,True,0.2645115100782024,0,None,i7147,9,0 1727412466,1727412477,11,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 436 n_windows 54 disjoint_training_windows True,436,54,True,0.2645115100782024,0,None,i7147,7,0 1727412466,1727412478,12,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 100 n_windows 126 disjoint_training_windows True,100,126,True,0.2645115100782024,0,None,i7147,8,0 1727412473,1727412484,11,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 397 n_windows 154 disjoint_training_windows True,397,154,True,0.2645115100782024,0,None,i7147,7,0 1727412493,1727412503,10,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 771 n_windows 31 disjoint_training_windows True,771,31,True,0.2645115100782024,0,None,i7147,7,0 1727412493,1727412503,10,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 401 n_windows 153 disjoint_training_windows True,401,153,True,0.2645115100782024,0,None,i7147,7,0 1727412493,1727412504,11,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 615 n_windows 54 disjoint_training_windows True,615,54,True,0.2645115100782024,0,None,i7147,7,0 1727412513,1727412523,10,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 509 n_windows 206 disjoint_training_windows True,509,206,True,0.2645115100782024,0,None,i7147,7,0 1727412513,1727412524,11,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 919 n_windows 65 disjoint_training_windows True,919,65,True,0.2645115100782024,0,None,i7147,7,0 1727412527,1727412537,10,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 193 n_windows 182 disjoint_training_windows True,193,182,True,0.2645115100782024,0,None,i7147,7,0 1727412527,1727412537,10,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 927 n_windows 62 disjoint_training_windows True,927,62,True,0.2645115100782024,0,None,i7147,7,0 1727412533,1727412543,10,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 137 n_windows 25 disjoint_training_windows False,137,25,False,0.2861548628703602,0,None,i7147,7,0.0003735513677956879 1727412553,1727412564,11,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 1000 n_windows 25 disjoint_training_windows False,1000,25,False,0.2976098689282961,0,None,i7147,7,0.002173729939161474 1727412553,1727412566,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 586 n_windows 190 disjoint_training_windows False,586,190,False,0.3031721555237361,0,None,i7147,10,0.0014268691986502298 1727412762,1727412772,10,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 686 n_windows 75 disjoint_training_windows True,686,75,True,0.2645115100782024,0,None,i7147,7,0 1727412782,1727412792,10,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 297 n_windows 143 disjoint_training_windows True,297,143,True,0.2645115100782024,0,None,i7147,7,0 1727412782,1727412794,12,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 258 n_windows 80 disjoint_training_windows False,258,80,False,0.2931490252230422,0,None,i7147,9,0.000845188830020387 1727412798,1727412809,11,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 567 n_windows 71 disjoint_training_windows True,567,71,True,0.2645115100782024,0,None,i7147,7,0 1727412798,1727412811,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 294 n_windows 83 disjoint_training_windows False,294,83,False,0.2950214781363586,0,None,i7147,9,0.0009195767385507575 1727412802,1727412814,12,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 580 n_windows 196 disjoint_training_windows False,580,196,False,0.30333737195726407,0,None,i7147,9,0.0013576480842077 1727412822,1727412832,10,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 701 n_windows 47 disjoint_training_windows True,701,47,True,0.2645115100782024,0,None,i7147,7,0 1727412822,1727412833,11,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 532 n_windows 82 disjoint_training_windows True,532,82,True,0.2645115100782024,0,None,i7147,8,0 1727412828,1727412839,11,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 558 n_windows 192 disjoint_training_windows True,558,192,True,0.2645115100782024,0,None,i7147,7,0 1727412842,1727412853,11,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 305 n_windows 140 disjoint_training_windows True,305,140,True,0.2645115100782024,0,None,i7147,8,0 1727412842,1727412855,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 586 n_windows 197 disjoint_training_windows False,586,197,False,0.30526489701508974,0,None,i7147,10,0.0013317445854068828 1727412859,1727412868,9,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 1000 n_windows 199 disjoint_training_windows True,1000,199,True,0.2645115100782024,0,None,i7139,6,0 1727412859,1727412870,11,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 578 n_windows 194 disjoint_training_windows False,578,194,False,0.3027315783676616,0,None,i7139,8,0.001446895433017252 1727412882,1727412893,11,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 905 n_windows 167 disjoint_training_windows True,905,167,True,0.2645115100782024,0,None,i7147,7,0 1727412882,1727412898,16,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 588 n_windows 200 disjoint_training_windows False,588,200,False,0.3039982376913757,0,None,i7186,11,0.0014554781048888325 1727412889,1727412899,10,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 831 n_windows 235 disjoint_training_windows True,831,235,True,0.2645115100782024,0,None,i7147,7,0 1727413173,1727413183,10,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 870 n_windows 192 disjoint_training_windows True,870,192,True,0.2645115100782024,0,None,i7147,6,0 1727413190,1727413199,9,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 391 n_windows 230 disjoint_training_windows True,391,230,True,0.2645115100782024,0,None,i7147,6,0 1727413190,1727413200,10,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 140 n_windows 91 disjoint_training_windows True,140,91,True,0.2645115100782024,0,None,i7147,7,0 1727413213,1727413223,10,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 246 n_windows 227 disjoint_training_windows True,246,227,True,0.2645115100782024,0,None,i7147,6,0 1727413213,1727413223,10,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 443 n_windows 183 disjoint_training_windows True,443,183,True,0.2645115100782024,0,None,i7147,6,0 1727413220,1727413229,9,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 851 n_windows 224 disjoint_training_windows True,851,224,True,0.2645115100782024,0,None,i7147,6,0 1727413233,1727413243,10,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 611 n_windows 93 disjoint_training_windows True,611,93,True,0.2645115100782024,0,None,i7147,6,0 1727413233,1727413243,10,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 679 n_windows 163 disjoint_training_windows True,679,163,True,0.2645115100782024,0,None,i7147,6,0 1727413250,1727413259,9,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 394 n_windows 230 disjoint_training_windows True,394,230,True,0.2645115100782024,0,None,i7147,6,0 1727413250,1727413260,10,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 151 n_windows 91 disjoint_training_windows True,151,91,True,0.2645115100782024,0,None,i7147,7,0 1727413273,1727413283,10,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 657 n_windows 133 disjoint_training_windows True,657,133,True,0.2645115100782024,0,None,i7147,6,0 1727413273,1727413283,10,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 695 n_windows 125 disjoint_training_windows True,695,125,True,0.2645115100782024,0,None,i7147,6,0 1727413280,1727413290,10,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 1000 n_windows 75 disjoint_training_windows False,1000,75,False,0.29997797114219626,0,None,i7147,7,0.002034429808932053 1727413293,1727413303,10,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 749 n_windows 171 disjoint_training_windows True,749,171,True,0.2645115100782024,0,None,i7147,6,0 1727413311,1727413321,10,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 886 n_windows 76 disjoint_training_windows True,886,76,True,0.2645115100782024,0,None,i7147,7,0 1727414238,1727414249,11,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 916 n_windows 48 disjoint_training_windows True,916,48,True,0.2645115100782024,0,None,i7147,7,0 1727414238,1727414249,11,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 378 n_windows 189 disjoint_training_windows True,378,189,True,0.2645115100782024,0,None,i7147,7,0 1727414239,1727414252,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 368 n_windows 138 disjoint_training_windows True,368,138,True,0.2645115100782024,0,None,i7147,9,0 1727414239,1727414252,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 916 n_windows 47 disjoint_training_windows True,916,47,True,0.2645115100782024,0,None,i7147,9,0 1727414239,1727414252,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 896 n_windows 85 disjoint_training_windows True,896,85,True,0.2645115100782024,0,None,i7147,9,0 1727414239,1727414252,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 406 n_windows 188 disjoint_training_windows True,406,188,True,0.2645115100782024,0,None,i7147,9,0 1727414239,1727414252,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 305 n_windows 162 disjoint_training_windows True,305,162,True,0.2645115100782024,0,None,i7147,9,0 1727414239,1727414252,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 542 n_windows 56 disjoint_training_windows True,542,56,True,0.2645115100782024,0,None,i7147,9,0 1727414239,1727414252,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 446 n_windows 118 disjoint_training_windows True,446,118,True,0.2645115100782024,0,None,i7147,9,0 1727414239,1727414252,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 481 n_windows 232 disjoint_training_windows True,481,232,True,0.2645115100782024,0,None,i7147,9,0 1727414259,1727414271,12,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 538 n_windows 162 disjoint_training_windows True,538,162,True,0.2645115100782024,0,None,i7147,9,0 1727414259,1727414271,12,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 537 n_windows 148 disjoint_training_windows True,537,148,True,0.2645115100782024,0,None,i7147,9,0 1727414259,1727414271,12,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 397 n_windows 239 disjoint_training_windows True,397,239,True,0.2645115100782024,0,None,i7147,9,0 1727414259,1727414272,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 518 n_windows 159 disjoint_training_windows True,518,159,True,0.2645115100782024,0,None,i7147,9,0 1727414259,1727414272,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 508 n_windows 156 disjoint_training_windows True,508,156,True,0.2645115100782024,0,None,i7147,9,0 1727414259,1727414272,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 615 n_windows 37 disjoint_training_windows True,615,37,True,0.2645115100782024,0,None,i7147,9,0 1727414259,1727414272,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 447 n_windows 231 disjoint_training_windows True,447,231,True,0.2645115100782024,0,None,i7147,9,0 1727414259,1727414273,14,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 454 n_windows 172 disjoint_training_windows False,454,172,False,0.2979953739398612,0,None,i7147,10,0.0011081183016418174 1727414302,1727414316,14,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 442 n_windows 237 disjoint_training_windows True,442,237,True,0.2645115100782024,0,None,i7147,9,0 1727414338,1727414351,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 453 n_windows 236 disjoint_training_windows True,453,236,True,0.2645115100782024,0,None,i7147,9,0 1727416665,1727416686,21,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 663 n_windows 70 disjoint_training_windows True,663,70,True,0.2645115100782024,0,None,i7186,9,0 1727416691,1727416704,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 539 n_windows 178 disjoint_training_windows True,539,178,True,0.2645115100782024,0,None,i7186,9,0 1727416722,1727416734,12,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 534 n_windows 113 disjoint_training_windows True,534,113,True,0.2645115100782024,0,None,i7186,9,0 1727416745,1727416758,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 518 n_windows 109 disjoint_training_windows True,518,109,True,0.2645115100782024,0,None,i7186,9,0 1727416765,1727416777,12,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 481 n_windows 202 disjoint_training_windows True,481,202,True,0.2645115100782024,0,None,i7186,8,0 1727416785,1727416798,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 589 n_windows 214 disjoint_training_windows True,589,214,True,0.2645115100782024,0,None,i7186,9,0 1727416805,1727416818,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 499 n_windows 132 disjoint_training_windows True,499,132,True,0.2645115100782024,0,None,i7186,9,0 1727416825,1727416838,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 532 n_windows 96 disjoint_training_windows True,532,96,True,0.2645115100782024,0,None,i7186,9,0 1727416845,1727416860,15,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 1000 n_windows 120 disjoint_training_windows False,1000,120,False,0.29937217755259393,0,None,i7186,11,0.0023460733560964823 1727416865,1727416878,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 528 n_windows 104 disjoint_training_windows True,528,104,True,0.2645115100782024,0,None,i7186,9,0 1727416885,1727416898,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 511 n_windows 109 disjoint_training_windows True,511,109,True,0.2645115100782024,0,None,i7186,9,0 1727416903,1727416915,12,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 533 n_windows 89 disjoint_training_windows True,533,89,True,0.2645115100782024,0,None,i7186,9,0 1727416925,1727416938,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 568 n_windows 105 disjoint_training_windows True,568,105,True,0.2645115100782024,0,None,i7186,9,0 1727416945,1727416958,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 461 n_windows 206 disjoint_training_windows True,461,206,True,0.2645115100782024,0,None,i7186,8,0 1727416963,1727416976,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 530 n_windows 108 disjoint_training_windows True,530,108,True,0.2645115100782024,0,None,i7186,9,0 1727416987,1727416999,12,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 502 n_windows 203 disjoint_training_windows True,502,203,True,0.2645115100782024,0,None,i7186,9,0 1727417006,1727417018,12,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 514 n_windows 215 disjoint_training_windows True,514,215,True,0.2645115100782024,0,None,i7186,9,0 1727417024,1727417036,12,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 500 n_windows 122 disjoint_training_windows True,500,122,True,0.2645115100782024,0,None,i7186,9,0 1727417046,1727417061,15,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 1000 n_windows 120 disjoint_training_windows False,1000,120,False,0.29937217755259393,0,None,i7186,11,0.0023460733560964823 1727417066,1727417078,12,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 899 n_windows 56 disjoint_training_windows True,899,56,True,0.2645115100782024,0,None,i7186,8,0 1727417084,1727417096,12,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 480 n_windows 124 disjoint_training_windows True,480,124,True,0.2645115100782024,0,None,i7186,8,0 1727417106,1727417119,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 629 n_windows 147 disjoint_training_windows True,629,147,True,0.2645115100782024,0,None,i7186,9,0 1727417126,1727417138,12,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 629 n_windows 88 disjoint_training_windows True,629,88,True,0.2645115100782024,0,None,i7186,9,0 1727417144,1727417157,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 306 n_windows 96 disjoint_training_windows True,306,96,True,0.2645115100782024,0,None,i7186,8,0 1727417166,1727417178,12,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 392 n_windows 112 disjoint_training_windows True,392,112,True,0.2645115100782024,0,None,i7186,8,0 1727417186,1727417198,12,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 286 n_windows 91 disjoint_training_windows True,286,91,True,0.2645115100782024,0,None,i7186,8,0 1727419458,1727419471,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 492 n_windows 186 disjoint_training_windows True,492,186,True,0.2645115100782024,0,None,i7186,9,0 1727419478,1727419491,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 471 n_windows 193 disjoint_training_windows True,471,193,True,0.2645115100782024,0,None,i7186,9,0 1727419498,1727419511,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 469 n_windows 182 disjoint_training_windows True,469,182,True,0.2645115100782024,0,None,i7186,9,0 1727419518,1727419531,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 530 n_windows 121 disjoint_training_windows True,530,121,True,0.2645115100782024,0,None,i7186,9,0 1727419538,1727419551,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 634 n_windows 101 disjoint_training_windows True,634,101,True,0.2645115100782024,0,None,i7186,9,0 1727419558,1727419571,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 394 n_windows 199 disjoint_training_windows True,394,199,True,0.2645115100782024,0,None,i7186,9,0 1727419578,1727419591,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 571 n_windows 105 disjoint_training_windows True,571,105,True,0.2645115100782024,0,None,i7186,9,0 1727419598,1727419611,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 539 n_windows 170 disjoint_training_windows True,539,170,True,0.2645115100782024,0,None,i7186,9,0 1727419618,1727419631,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 578 n_windows 111 disjoint_training_windows True,578,111,True,0.2645115100782024,0,None,i7186,9,0 1727419638,1727419651,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 558 n_windows 171 disjoint_training_windows True,558,171,True,0.2645115100782024,0,None,i7186,9,0 1727419658,1727419671,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 485 n_windows 146 disjoint_training_windows True,485,146,True,0.2645115100782024,0,None,i7186,9,0 1727419678,1727419691,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 606 n_windows 76 disjoint_training_windows True,606,76,True,0.2645115100782024,0,None,i7186,9,0 1727419698,1727419711,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 883 n_windows 90 disjoint_training_windows True,883,90,True,0.2645115100782024,0,None,i7186,9,0 1727419719,1727419731,12,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 635 n_windows 76 disjoint_training_windows True,635,76,True,0.2645115100782024,0,None,i7186,9,0 1727419739,1727419751,12,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 886 n_windows 93 disjoint_training_windows True,886,93,True,0.2645115100782024,0,None,i7186,9,0 1727419759,1727419771,12,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 408 n_windows 132 disjoint_training_windows True,408,132,True,0.2645115100782024,0,None,i7186,9,0 1727419779,1727419791,12,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 559 n_windows 89 disjoint_training_windows True,559,89,True,0.2645115100782024,0,None,i7186,9,0 1727419799,1727419811,12,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 430 n_windows 145 disjoint_training_windows True,430,145,True,0.2645115100782024,0,None,i7186,9,0 1727419819,1727419831,12,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 467 n_windows 211 disjoint_training_windows True,467,211,True,0.2645115100782024,0,None,i7186,9,0 1727419839,1727419851,12,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 189 n_windows 88 disjoint_training_windows True,189,88,True,0.2645115100782024,0,None,i7186,9,0 1727419859,1727419871,12,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 529 n_windows 130 disjoint_training_windows True,529,130,True,0.2645115100782024,0,None,i7186,9,0 1727419879,1727419891,12,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 943 n_windows 48 disjoint_training_windows True,943,48,True,0.2645115100782024,0,None,i7186,9,0 1727421480,1727421527,47,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 619 n_windows 88 disjoint_training_windows True,619,88,True,0.2645115100782024,0,None,i7084,6,0 1727421480,1727421527,47,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 761 n_windows 134 disjoint_training_windows True,761,134,True,0.2645115100782024,0,None,i7084,6,0 1727421480,1727421527,47,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 396 n_windows 224 disjoint_training_windows True,396,224,True,0.2645115100782024,0,None,i7084,6,0 1727421480,1727421527,47,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 476 n_windows 220 disjoint_training_windows True,476,220,True,0.2645115100782024,0,None,i7084,6,0 1727421480,1727421527,47,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 518 n_windows 121 disjoint_training_windows True,518,121,True,0.2645115100782024,0,None,i7084,6,0 1727421480,1727421527,47,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 823 n_windows 107 disjoint_training_windows True,823,107,True,0.2645115100782024,0,None,i7084,6,0 1727421480,1727421527,47,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 446 n_windows 145 disjoint_training_windows True,446,145,True,0.2645115100782024,0,None,i7084,6,0 1727421480,1727421527,47,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 498 n_windows 131 disjoint_training_windows True,498,131,True,0.2645115100782024,0,None,i7084,6,0 1727421480,1727421527,47,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 827 n_windows 109 disjoint_training_windows True,827,109,True,0.2645115100782024,0,None,i7084,6,0 1727421480,1727421527,47,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 649 n_windows 82 disjoint_training_windows True,649,82,True,0.2645115100782024,0,None,i7084,6,0 1727421480,1727421527,47,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 505 n_windows 226 disjoint_training_windows True,505,226,True,0.2645115100782024,0,None,i7084,6,0 1727421533,1727421542,9,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 477 n_windows 219 disjoint_training_windows True,477,219,True,0.2645115100782024,0,None,i7084,6,0 1727421533,1727421542,9,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 799 n_windows 89 disjoint_training_windows True,799,89,True,0.2645115100782024,0,None,i7084,6,0 1727421533,1727421542,9,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 733 n_windows 140 disjoint_training_windows True,733,140,True,0.2645115100782024,0,None,i7084,6,0 1727421533,1727421542,9,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 512 n_windows 138 disjoint_training_windows True,512,138,True,0.2645115100782024,0,None,i7084,6,0 1727421533,1727421542,9,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 817 n_windows 89 disjoint_training_windows True,817,89,True,0.2645115100782024,0,None,i7084,6,0 1727421533,1727421542,9,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 528 n_windows 144 disjoint_training_windows True,528,144,True,0.2645115100782024,0,None,i7084,6,0 1727421533,1727421542,9,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 458 n_windows 220 disjoint_training_windows True,458,220,True,0.2645115100782024,0,None,i7084,6,0 1727422098,1727422111,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 158 n_windows 151 disjoint_training_windows True,158,151,True,0.2645115100782024,0,None,i7181,7,0 1727422096,1727422111,15,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 310 n_windows 165 disjoint_training_windows True,310,165,True,0.2645115100782024,0,None,i7181,7,0 1727422096,1727422114,18,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 233 n_windows 218 disjoint_training_windows False,233,218,False,0.3038880934023571,0,None,i7181,10,0.0017041769162046694 1727422119,1727422128,9,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 100 n_windows 151 disjoint_training_windows True,100,151,True,0.2645115100782024,0,None,i7181,7,0 1727422119,1727422130,11,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 388 n_windows 228 disjoint_training_windows False,388,228,False,0.29590263244850756,0,None,i7181,9,0.0015464258178213442 1727422139,1727422149,10,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 100 n_windows 158 disjoint_training_windows True,100,158,True,0.2645115100782024,0,None,i7181,7,0 1727422153,1727422164,11,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 420 n_windows 241 disjoint_training_windows False,420,241,False,0.2949664059918493,0,None,i7181,8,0.0012773184484578019 1727422179,1727422189,10,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 972 n_windows 155 disjoint_training_windows True,972,155,True,0.2645115100782024,0,None,i7181,7,0 1727422179,1727422190,11,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 336 n_windows 37 disjoint_training_windows True,336,37,True,0.2645115100782024,0,None,i7181,8,0 1727422199,1727422209,10,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 777 n_windows 120 disjoint_training_windows True,777,120,True,0.2645115100782024,0,None,i7181,7,0 1727422214,1727422224,10,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 591 n_windows 62 disjoint_training_windows True,591,62,True,0.2645115100782024,0,None,i7181,7,0 1727422219,1727422229,10,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 162 n_windows 141 disjoint_training_windows True,162,141,True,0.2645115100782024,0,None,i7181,7,0 1727422239,1727422250,11,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 1000 n_windows 213 disjoint_training_windows False,1000,213,False,0.3020156404890406,0,None,i7181,8,0.0020342273378125345 1727422259,1727422269,10,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 976 n_windows 33 disjoint_training_windows True,976,33,True,0.2645115100782024,0,None,i7181,7,0 1727422259,1727422270,11,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 221 n_windows 70 disjoint_training_windows True,221,70,True,0.2645115100782024,0,None,i7181,7,0 1727422274,1727422284,10,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 536 n_windows 188 disjoint_training_windows True,536,188,True,0.2645115100782024,0,None,i7181,7,0 1727422299,1727422310,11,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 100 n_windows 148 disjoint_training_windows True,100,148,True,0.2645115100782024,0,None,i7181,7,0 1727422300,1727422312,12,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 555 n_windows 25 disjoint_training_windows True,555,25,True,0.2645115100782024,0,None,i7181,8,0 1727422786,1727422797,11,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 585 n_windows 250 disjoint_training_windows True,585,250,True,0.2645115100782024,0,None,i7181,7,0 1727422809,1727422821,12,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 100 n_windows 76 disjoint_training_windows True,100,76,True,0.2645115100782024,0,None,i7181,8,0 1727422817,1727422826,9,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 353 n_windows 163 disjoint_training_windows True,353,163,True,0.2645115100782024,0,None,i7181,7,0 1727422829,1727422839,10,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 100 n_windows 237 disjoint_training_windows True,100,237,True,0.2645115100782024,0,None,i7181,7,0 1727422847,1727422856,9,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 709 n_windows 167 disjoint_training_windows True,709,167,True,0.2645115100782024,0,None,i7181,7,0 1727422869,1727422879,10,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 550 n_windows 52 disjoint_training_windows True,550,52,True,0.2645115100782024,0,None,i7181,7,0 1727422869,1727422879,10,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 580 n_windows 250 disjoint_training_windows True,580,250,True,0.2645115100782024,0,None,i7181,7,0 1727422889,1727422899,10,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 714 n_windows 167 disjoint_training_windows True,714,167,True,0.2645115100782024,0,None,i7181,7,0 1727422907,1727422917,10,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 357 n_windows 162 disjoint_training_windows True,357,162,True,0.2645115100782024,0,None,i7181,7,0 1727422909,1727422919,10,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 353 n_windows 161 disjoint_training_windows True,353,161,True,0.2645115100782024,0,None,i7181,7,0 1727422930,1727422939,9,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 580 n_windows 250 disjoint_training_windows True,580,250,True,0.2645115100782024,0,None,i7181,6,0 1727422949,1727422959,10,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 553 n_windows 53 disjoint_training_windows True,553,53,True,0.2645115100782024,0,None,i7181,7,0 1727422967,1727422977,10,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 551 n_windows 52 disjoint_training_windows True,551,52,True,0.2645115100782024,0,None,i7181,7,0 1727422967,1727422977,10,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 580 n_windows 250 disjoint_training_windows True,580,250,True,0.2645115100782024,0,None,i7181,7,0 1727422989,1727422999,10,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 473 n_windows 120 disjoint_training_windows True,473,120,True,0.2645115100782024,0,None,i7181,7,0 1727422989,1727422999,10,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 581 n_windows 250 disjoint_training_windows True,581,250,True,0.2645115100782024,0,None,i7181,7,0 1727423597,1727423608,11,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 691 n_windows 176 disjoint_training_windows True,691,176,True,0.2645115100782024,0,None,i7181,7,0 1727423597,1727423608,11,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 705 n_windows 177 disjoint_training_windows True,705,177,True,0.2645115100782024,0,None,i7181,7,0 1727423617,1727423627,10,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 304 n_windows 167 disjoint_training_windows True,304,167,True,0.2645115100782024,0,None,i7181,6,0 1727423617,1727423627,10,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 703 n_windows 177 disjoint_training_windows True,703,177,True,0.2645115100782024,0,None,i7181,6,0 1727423637,1727423646,9,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 565 n_windows 50 disjoint_training_windows True,565,50,True,0.2645115100782024,0,None,i7181,6,0 1727423658,1727423667,9,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 708 n_windows 177 disjoint_training_windows True,708,177,True,0.2645115100782024,0,None,i7181,6,0 1727423677,1727423687,10,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 483 n_windows 117 disjoint_training_windows True,483,117,True,0.2645115100782024,0,None,i7181,6,0 1727423697,1727423707,10,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 567 n_windows 50 disjoint_training_windows True,567,50,True,0.2645115100782024,0,None,i7181,6,0 1727423718,1727423727,9,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 568 n_windows 50 disjoint_training_windows True,568,50,True,0.2645115100782024,0,None,i7181,6,0 1727423708,1727423742,34,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 704 n_windows 177 disjoint_training_windows True,704,177,True,0.2645115100782024,0,None,i7177,7,0 1727423738,1727423746,8,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 307 n_windows 166 disjoint_training_windows True,307,166,True,0.2645115100782024,0,None,i7181,6,0 1727423738,1727423746,8,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 1000 n_windows 127 disjoint_training_windows True,1000,127,True,0.2645115100782024,0,None,i7181,6,0 1727423751,1727423760,9,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 698 n_windows 177 disjoint_training_windows True,698,177,True,0.2645115100782024,0,None,i7181,6,0 1727423778,1727423787,9,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 694 n_windows 177 disjoint_training_windows True,694,177,True,0.2645115100782024,0,None,i7181,6,0 1727423798,1727423808,10,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 306 n_windows 166 disjoint_training_windows True,306,166,True,0.2645115100782024,0,None,i7181,7,0 1727423798,1727423810,12,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 116 n_windows 71 disjoint_training_windows True,116,71,True,0.2645115100782024,0,None,i7181,9,0 1727423818,1727423827,9,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 1000 n_windows 93 disjoint_training_windows True,1000,93,True,0.2645115100782024,0,None,i7181,6,0 1727423838,1727423848,10,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 568 n_windows 50 disjoint_training_windows True,568,50,True,0.2645115100782024,0,None,i7181,7,0 1727424473,1727424484,11,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 346 n_windows 165 disjoint_training_windows True,346,165,True,0.2645115100782024,0,None,i7181,7,0 1727424479,1727424489,10,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 547 n_windows 50 disjoint_training_windows True,547,50,True,0.2645115100782024,0,None,i7181,7,0 1727424478,1727424497,19,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 546 n_windows 50 disjoint_training_windows True,546,50,True,0.2645115100782024,0,None,i7186,8,0 1727424499,1727424511,12,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 135 n_windows 72 disjoint_training_windows True,135,72,True,0.2645115100782024,0,None,i7181,9,0 1727424520,1727424532,12,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 546 n_windows 50 disjoint_training_windows True,546,50,True,0.2645115100782024,0,None,i7186,8,0 1727424533,1727424543,10,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 343 n_windows 164 disjoint_training_windows True,343,164,True,0.2645115100782024,0,None,i7181,7,0 1727424540,1727424552,12,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 547 n_windows 50 disjoint_training_windows True,547,50,True,0.2645115100782024,0,None,i7186,8,0 1727424560,1727424572,12,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 340 n_windows 164 disjoint_training_windows True,340,164,True,0.2645115100782024,0,None,i7186,8,0 1727424580,1727424592,12,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 548 n_windows 50 disjoint_training_windows True,548,50,True,0.2645115100782024,0,None,i7186,8,0 1727424594,1727424604,10,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 340 n_windows 163 disjoint_training_windows True,340,163,True,0.2645115100782024,0,None,i7181,7,0 1727424600,1727424612,12,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 547 n_windows 50 disjoint_training_windows True,547,50,True,0.2645115100782024,0,None,i7186,9,0 1727424620,1727424632,12,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 344 n_windows 164 disjoint_training_windows True,344,164,True,0.2645115100782024,0,None,i7186,8,0 1727424640,1727424654,14,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 137 n_windows 72 disjoint_training_windows True,137,72,True,0.2645115100782024,0,None,i7186,10,0 1727424654,1727424666,12,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 461 n_windows 119 disjoint_training_windows False,461,119,False,0.295076550280868,0,None,i7181,9,0.0011965675034294903 1727424679,1727424691,12,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 217 n_windows 88 disjoint_training_windows False,217,88,False,0.2986562396739729,0,None,i7181,9,0.0006085938681367499 1727424680,1727424692,12,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 730 n_windows 169 disjoint_training_windows True,730,169,True,0.2645115100782024,0,None,i7186,8,0 1727424700,1727424714,14,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 137 n_windows 72 disjoint_training_windows True,137,72,True,0.2645115100782024,0,None,i7186,10,0 1727425269,1727425282,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 778 n_windows 184 disjoint_training_windows True,778,184,True,0.2645115100782024,0,None,i7186,8,0 1727425289,1727425302,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 516 n_windows 42 disjoint_training_windows True,516,42,True,0.2645115100782024,0,None,i7186,8,0 1727425309,1727425321,12,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 1000 n_windows 223 disjoint_training_windows True,1000,223,True,0.2645115100782024,0,None,i7186,8,0 1727425330,1727425342,12,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 259 n_windows 152 disjoint_training_windows True,259,152,True,0.2645115100782024,0,None,i7186,9,0 1727425346,1727425357,11,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 774 n_windows 184 disjoint_training_windows True,774,184,True,0.2645115100782024,0,None,i7181,7,0 1727425349,1727425362,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 518 n_windows 42 disjoint_training_windows True,518,42,True,0.2645115100782024,0,None,i7186,8,0 1727425369,1727425382,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 517 n_windows 42 disjoint_training_windows True,517,42,True,0.2645115100782024,0,None,i7186,8,0 1727425390,1727425402,12,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 773 n_windows 184 disjoint_training_windows True,773,184,True,0.2645115100782024,0,None,i7186,8,0 1727425407,1727425419,12,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 259 n_windows 152 disjoint_training_windows True,259,152,True,0.2645115100782024,0,None,i7186,8,0 1727425429,1727425442,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 260 n_windows 152 disjoint_training_windows True,260,152,True,0.2645115100782024,0,None,i7186,8,0 1727425436,1727425446,10,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 776 n_windows 185 disjoint_training_windows True,776,185,True,0.2645115100782024,0,None,i7181,7,0 1727425449,1727425462,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 773 n_windows 184 disjoint_training_windows True,773,184,True,0.2645115100782024,0,None,i7186,8,0 1727425467,1727425479,12,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 774 n_windows 184 disjoint_training_windows True,774,184,True,0.2645115100782024,0,None,i7186,8,0 1727425489,1727425502,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 259 n_windows 152 disjoint_training_windows True,259,152,True,0.2645115100782024,0,None,i7186,8,0 1727425510,1727425522,12,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 518 n_windows 42 disjoint_training_windows True,518,42,True,0.2645115100782024,0,None,i7186,8,0 1727425529,1727425538,9,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 517 n_windows 42 disjoint_training_windows True,517,42,True,0.2645115100782024,0,None,i7181,6,0 1727425527,1727425540,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 259 n_windows 152 disjoint_training_windows True,259,152,True,0.2645115100782024,0,None,i7186,8,0 1727426549,1727426561,12,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 596 n_windows 151 disjoint_training_windows True,596,151,True,0.2645115100782024,0,None,i7186,9,0 1727426569,1727426581,12,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 561 n_windows 199 disjoint_training_windows True,561,199,True,0.2645115100782024,0,None,i7186,9,0 1727426581,1727426594,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 630 n_windows 109 disjoint_training_windows True,630,109,True,0.2645115100782024,0,None,i7186,8,0 1727426610,1727426622,12,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 620 n_windows 122 disjoint_training_windows True,620,122,True,0.2645115100782024,0,None,i7186,8,0 1727426610,1727426622,12,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 584 n_windows 184 disjoint_training_windows True,584,184,True,0.2645115100782024,0,None,i7186,9,0 1727426629,1727426641,12,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 583 n_windows 191 disjoint_training_windows True,583,191,True,0.2645115100782024,0,None,i7186,9,0 1727426642,1727426654,12,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 561 n_windows 148 disjoint_training_windows True,561,148,True,0.2645115100782024,0,None,i7186,8,0 1727426669,1727426681,12,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 539 n_windows 197 disjoint_training_windows True,539,197,True,0.2645115100782024,0,None,i7186,9,0 1727426689,1727426701,12,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 531 n_windows 195 disjoint_training_windows True,531,195,True,0.2645115100782024,0,None,i7186,8,0 1727426689,1727426702,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 512 n_windows 164 disjoint_training_windows True,512,164,True,0.2645115100782024,0,None,i7186,9,0 1727426709,1727426721,12,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 607 n_windows 187 disjoint_training_windows True,607,187,True,0.2645115100782024,0,None,i7186,8,0 1727426729,1727426742,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 565 n_windows 194 disjoint_training_windows True,565,194,True,0.2645115100782024,0,None,i7186,9,0 1727426749,1727426761,12,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 603 n_windows 195 disjoint_training_windows True,603,195,True,0.2645115100782024,0,None,i7186,9,0 1727426762,1727426774,12,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 619 n_windows 126 disjoint_training_windows True,619,126,True,0.2645115100782024,0,None,i7186,8,0 1727426789,1727426802,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 631 n_windows 125 disjoint_training_windows True,631,125,True,0.2645115100782024,0,None,i7186,9,0 1727426792,1727426804,12,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 592 n_windows 181 disjoint_training_windows True,592,181,True,0.2645115100782024,0,None,i7186,8,0 1727426809,1727426822,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 699 n_windows 92 disjoint_training_windows True,699,92,True,0.2645115100782024,0,None,i7186,9,0 1727427455,1727427468,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 610 n_windows 107 disjoint_training_windows True,610,107,True,0.2645115100782024,0,None,i7186,9,0 1727427481,1727427494,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 782 n_windows 185 disjoint_training_windows True,782,185,True,0.2645115100782024,0,None,i7186,9,0 1727427485,1727427498,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 100 n_windows 201 disjoint_training_windows True,100,201,True,0.2645115100782024,0,None,i7186,9,0 1727427502,1727427514,12,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 259 n_windows 152 disjoint_training_windows True,259,152,True,0.2645115100782024,0,None,i7186,9,0 1727427522,1727427538,16,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 241 n_windows 193 disjoint_training_windows False,241,193,False,0.30818372067408306,0,None,i7186,12,0.0013189778609979052 1727427542,1727427554,12,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 259 n_windows 152 disjoint_training_windows True,259,152,True,0.2645115100782024,0,None,i7186,8,0 1727427562,1727427574,12,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 261 n_windows 152 disjoint_training_windows True,261,152,True,0.2645115100782024,0,None,i7186,9,0 1727427575,1727427588,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 781 n_windows 185 disjoint_training_windows True,781,185,True,0.2645115100782024,0,None,i7186,8,0 1727427602,1727427614,12,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 259 n_windows 152 disjoint_training_windows True,259,152,True,0.2645115100782024,0,None,i7186,9,0 1727427622,1727427634,12,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 781 n_windows 185 disjoint_training_windows True,781,185,True,0.2645115100782024,0,None,i7186,9,0 1727427637,1727427653,16,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 221 n_windows 242 disjoint_training_windows False,221,242,False,0.30041854829827075,0,None,i7186,12,0.002008513505633554 1727427642,1727427656,14,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 133 n_windows 66 disjoint_training_windows True,133,66,True,0.2645115100782024,0,None,i7186,10,0 1727427662,1727427674,12,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 260 n_windows 152 disjoint_training_windows True,260,152,True,0.2645115100782024,0,None,i7186,8,0 1727427682,1727427694,12,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 518 n_windows 42 disjoint_training_windows True,518,42,True,0.2645115100782024,0,None,i7186,9,0 1727427702,1727427715,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 610 n_windows 107 disjoint_training_windows True,610,107,True,0.2645115100782024,0,None,i7186,9,0 1727427722,1727427734,12,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 780 n_windows 185 disjoint_training_windows True,780,185,True,0.2645115100782024,0,None,i7186,9,0 1727428407,1727428422,15,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 265 n_windows 221 disjoint_training_windows True,265,221,True,0.2645115100782024,0,None,i7181,7,0 1727428418,1727428430,12,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 100 n_windows 185 disjoint_training_windows False,100,185,False,0.2958475603039983,0,None,i7181,9,0.001138697576177732 1727428448,1727428459,11,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 653 n_windows 226 disjoint_training_windows True,653,226,True,0.2645115100782024,0,None,i7181,7,0 1727428467,1727428479,12,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 278 n_windows 85 disjoint_training_windows False,278,85,False,0.2968388589051658,0,None,i7181,8,0.0007859253956015699 1727428467,1727428479,12,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 446 n_windows 246 disjoint_training_windows False,446,246,False,0.2930388809340235,0,None,i7181,9,0.0014318757572419876 1727428487,1727428497,10,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 304 n_windows 243 disjoint_training_windows True,304,243,True,0.2645115100782024,0,None,i7181,7,0 1727428507,1727428519,12,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 100 n_windows 185 disjoint_training_windows False,100,185,False,0.2958475603039983,0,None,i7181,9,0.001138697576177732 1727428527,1727428540,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 318 n_windows 186 disjoint_training_windows False,318,186,False,0.3080185042405551,0,None,i7181,9,0.0009153370225340022 1727428547,1727428560,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 343 n_windows 172 disjoint_training_windows False,343,172,False,0.3016301354774755,0,None,i7181,9,0.001135625600571229 1727428568,1727428580,12,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 555 n_windows 224 disjoint_training_windows False,555,224,False,0.2986562396739729,0,None,i7181,9,0.0017098589628603926 1727428587,1727428597,10,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 172 n_windows 217 disjoint_training_windows True,172,217,True,0.2645115100782024,0,None,i7181,6,0 1727428600,1727428612,12,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 100 n_windows 185 disjoint_training_windows False,100,185,False,0.2958475603039983,0,None,i7181,8,0.001138697576177732 1727428627,1727428638,11,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 100 n_windows 185 disjoint_training_windows False,100,185,False,0.2958475603039983,0,None,i7181,8,0.001138697576177732 1727428647,1727428660,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 113 n_windows 136 disjoint_training_windows False,113,136,False,0.2927084480669677,0,None,i7181,9,0.0006825334630989542 1727428659,1727428672,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 100 n_windows 185 disjoint_training_windows False,100,185,False,0.2958475603039983,0,None,i7181,9,0.001138697576177732 1727428668,1727428681,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 544 n_windows 121 disjoint_training_windows False,544,121,False,0.2905055622865954,0,None,i7181,10,0.0017623086242978302 1727429481,1727429491,10,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 352 n_windows 57 disjoint_training_windows True,352,57,True,0.2645115100782024,0,None,i7181,7,0 1727429501,1727429511,10,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 153 n_windows 196 disjoint_training_windows True,153,196,True,0.2645115100782024,0,None,i7181,7,0 1727429521,1727429531,10,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 888 n_windows 189 disjoint_training_windows True,888,189,True,0.2645115100782024,0,None,i7181,7,0 1727429541,1727429552,11,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 630 n_windows 76 disjoint_training_windows False,630,76,False,0.29408525167970045,0,None,i7181,8,0.0015568471620900275 1727429561,1727429573,12,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 737 n_windows 250 disjoint_training_windows False,737,250,False,0.2971692917722216,0,None,i7181,9,0.0018696993060909773 1727429582,1727429593,11,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 663 n_windows 88 disjoint_training_windows False,663,88,False,0.3039982376913757,0,None,i7181,8,0.0013289147914202384 1727429594,1727429605,11,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 886 n_windows 189 disjoint_training_windows True,886,189,True,0.2645115100782024,0,None,i7181,7,0 1727429620,1727429630,10,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 605 n_windows 67 disjoint_training_windows False,605,67,False,0.2975547967837867,0,None,i7181,7,0.0013706844855649798 1727429641,1727429650,9,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 352 n_windows 56 disjoint_training_windows True,352,56,True,0.2645115100782024,0,None,i7181,6,0 1727429654,1727429663,9,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 888 n_windows 188 disjoint_training_windows True,888,188,True,0.2645115100782024,0,None,i7181,6,0 1727429681,1727429691,10,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 759 n_windows 210 disjoint_training_windows False,759,210,False,0.29749972463927743,0,None,i7181,7,0.0017649311073697019 1727429701,1727429712,11,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 285 n_windows 144 disjoint_training_windows True,285,144,True,0.2645115100782024,0,None,i7181,7,0 1727429701,1727429712,11,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 756 n_windows 250 disjoint_training_windows True,756,250,True,0.2645115100782024,0,None,i7181,7,0 1727429721,1727429732,11,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 580 n_windows 25 disjoint_training_windows False,580,25,False,0.28780702720563944,0,None,i7181,8,0.0015585416896133908 1727429745,1727429756,11,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 285 n_windows 143 disjoint_training_windows True,285,143,True,0.2645115100782024,0,None,i7181,7,0 1727429775,1727429788,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 682 n_windows 94 disjoint_training_windows False,682,94,False,0.3046040312809781,0,None,i7181,9,0.00142663079109824 1727430573,1727430584,11,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 528 n_windows 250 disjoint_training_windows True,528,250,True,0.2645115100782024,0,None,i7181,8,0 1727430581,1727430593,12,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 768 n_windows 112 disjoint_training_windows True,768,112,True,0.2645115100782024,0,None,i7181,8,0 1727430582,1727430593,11,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 769 n_windows 111 disjoint_training_windows True,769,111,True,0.2645115100782024,0,None,i7181,8,0 1727430601,1727430612,11,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 291 n_windows 151 disjoint_training_windows True,291,151,True,0.2645115100782024,0,None,i7181,8,0 1727430641,1727430653,12,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 632 n_windows 25 disjoint_training_windows True,632,25,True,0.2645115100782024,0,None,i7181,9,0 1727430648,1727430660,12,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 338 n_windows 50 disjoint_training_windows True,338,50,True,0.2645115100782024,0,None,i7181,8,0 1727430661,1727430673,12,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 769 n_windows 111 disjoint_training_windows True,769,111,True,0.2645115100782024,0,None,i7181,8,0 1727430678,1727430689,11,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 769 n_windows 111 disjoint_training_windows True,769,111,True,0.2645115100782024,0,None,i7181,7,0 1727430701,1727430712,11,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 770 n_windows 112 disjoint_training_windows True,770,112,True,0.2645115100782024,0,None,i7181,8,0 1727430721,1727430734,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 142 n_windows 63 disjoint_training_windows True,142,63,True,0.2645115100782024,0,None,i7181,9,0 1727430741,1727430753,12,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 339 n_windows 50 disjoint_training_windows True,339,50,True,0.2645115100782024,0,None,i7181,8,0 1727430761,1727430775,14,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 335 n_windows 195 disjoint_training_windows False,335,195,False,0.3038880934023571,0,None,i7181,10,0.0010225061497228017 1727430781,1727430792,11,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 291 n_windows 152 disjoint_training_windows True,291,152,True,0.2645115100782024,0,None,i7181,8,0 1727430801,1727430812,11,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 291 n_windows 151 disjoint_training_windows True,291,151,True,0.2645115100782024,0,None,i7181,8,0 1727430821,1727430831,10,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 291 n_windows 153 disjoint_training_windows True,291,153,True,0.2645115100782024,0,None,i7181,6,0 1727430841,1727430851,10,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 290 n_windows 151 disjoint_training_windows True,290,151,True,0.2645115100782024,0,None,i7181,7,0 1727431801,1727431812,11,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 942 n_windows 204 disjoint_training_windows True,942,204,True,0.2645115100782024,0,None,i7181,7,0 1727431821,1727431832,11,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 652 n_windows 197 disjoint_training_windows True,652,197,True,0.2645115100782024,0,None,i7181,7,0 1727431922,1727431933,11,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 942 n_windows 205 disjoint_training_windows True,942,205,True,0.2645115100782024,0,None,i7181,8,0 1727431941,1727431953,12,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 703 n_windows 84 disjoint_training_windows True,703,84,True,0.2645115100782024,0,None,i7181,8,0 1727431941,1727431953,12,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 357 n_windows 48 disjoint_training_windows True,357,48,True,0.2645115100782024,0,None,i7181,8,0 1727431961,1727431973,12,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 652 n_windows 197 disjoint_training_windows True,652,197,True,0.2645115100782024,0,None,i7181,8,0 1727431961,1727431973,12,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 652 n_windows 197 disjoint_training_windows True,652,197,True,0.2645115100782024,0,None,i7181,8,0 1727431962,1727431973,11,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 942 n_windows 204 disjoint_training_windows True,942,204,True,0.2645115100782024,0,None,i7181,8,0 1727431962,1727431973,11,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 942 n_windows 204 disjoint_training_windows True,942,204,True,0.2645115100782024,0,None,i7181,8,0 1727431981,1727431993,12,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 942 n_windows 204 disjoint_training_windows True,942,204,True,0.2645115100782024,0,None,i7181,8,0 1727431981,1727431993,12,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 357 n_windows 48 disjoint_training_windows True,357,48,True,0.2645115100782024,0,None,i7181,8,0 1727432001,1727432013,12,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 356 n_windows 48 disjoint_training_windows True,356,48,True,0.2645115100782024,0,None,i7181,8,0 1727432033,1727432044,11,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 810 n_windows 137 disjoint_training_windows True,810,137,True,0.2645115100782024,0,None,i7181,7,0 1727432061,1727432073,12,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 705 n_windows 84 disjoint_training_windows True,705,84,True,0.2645115100782024,0,None,i7181,8,0 1727432082,1727432094,12,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 810 n_windows 137 disjoint_training_windows False,810,137,False,0.29336931380107945,0,None,i7181,9,0.0020596982046480862 1727432093,1727432105,12,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 406 n_windows 77 disjoint_training_windows True,406,77,True,0.2645115100782024,0,None,i7181,8,0 1727432121,1727432133,12,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 942 n_windows 203 disjoint_training_windows True,942,203,True,0.2645115100782024,0,None,i7181,8,0 1727434050,1727434112,62,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 902 n_windows 120 disjoint_training_windows True,902,120,True,0.2645115100782024,0,None,i7168,6,0 1727434080,1727434112,32,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 634 n_windows 41 disjoint_training_windows True,634,41,True,0.2645115100782024,0,None,i7168,6,0 1727434080,1727434112,32,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 312 n_windows 179 disjoint_training_windows True,312,179,True,0.2645115100782024,0,None,i7168,7,0 1727434101,1727434112,11,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 182 n_windows 226 disjoint_training_windows True,182,226,True,0.2645115100782024,0,None,i7168,6,0 1727434050,1727434112,62,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 866 n_windows 168 disjoint_training_windows True,866,168,True,0.2645115100782024,0,None,i7168,7,0 1727434050,1727434114,64,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 270 n_windows 25 disjoint_training_windows True,270,25,True,0.2645115100782024,0,None,i7168,9,0 1727434121,1727434131,10,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 319 n_windows 184 disjoint_training_windows True,319,184,True,0.2645115100782024,0,None,i7168,6,0 1727434140,1727434149,9,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 270 n_windows 124 disjoint_training_windows True,270,124,True,0.2645115100782024,0,None,i7168,6,0 1727434361,1727434376,15,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 184 n_windows 225 disjoint_training_windows True,184,225,True,0.2645115100782024,0,None,i7173,7,0 1727434361,1727434376,15,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 820 n_windows 148 disjoint_training_windows True,820,148,True,0.2645115100782024,0,None,i7173,7,0 1727434361,1727434376,15,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 662 n_windows 38 disjoint_training_windows True,662,38,True,0.2645115100782024,0,None,i7173,7,0 1727434361,1727434376,15,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 683 n_windows 147 disjoint_training_windows True,683,147,True,0.2645115100782024,0,None,i7173,7,0 1727434361,1727434376,15,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 905 n_windows 127 disjoint_training_windows True,905,127,True,0.2645115100782024,0,None,i7173,7,0 1727434361,1727434376,15,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 180 n_windows 227 disjoint_training_windows True,180,227,True,0.2645115100782024,0,None,i7173,7,0 1727434361,1727434376,15,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 821 n_windows 162 disjoint_training_windows True,821,162,True,0.2645115100782024,0,None,i7173,7,0 1727434361,1727434377,16,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 161 n_windows 92 disjoint_training_windows True,161,92,True,0.2645115100782024,0,None,i7173,8,0 1727435442,1727435453,11,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 922 n_windows 222 disjoint_training_windows True,922,222,True,0.2645115100782024,0,None,i7173,7,0 1727435498,1727435509,11,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 273 n_windows 60 disjoint_training_windows True,273,60,True,0.2645115100782024,0,None,i7173,8,0 1727435522,1727435533,11,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 192 n_windows 96 disjoint_training_windows True,192,96,True,0.2645115100782024,0,None,i7173,7,0 1727435558,1727435569,11,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 271 n_windows 168 disjoint_training_windows True,271,168,True,0.2645115100782024,0,None,i7173,7,0 1727435546,1727435592,46,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 924 n_windows 101 disjoint_training_windows True,924,101,True,0.2645115100782024,0,None,i7127,9,0 1727435582,1727435593,11,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 640 n_windows 53 disjoint_training_windows True,640,53,True,0.2645115100782024,0,None,i7173,7,0 1727435602,1727435613,11,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 197 n_windows 95 disjoint_training_windows True,197,95,True,0.2645115100782024,0,None,i7173,7,0 1727435618,1727435629,11,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 922 n_windows 98 disjoint_training_windows True,922,98,True,0.2645115100782024,0,None,i7173,7,0 1727435642,1727435653,11,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 378 n_windows 123 disjoint_training_windows True,378,123,True,0.2645115100782024,0,None,i7173,7,0 1727436643,1727436654,11,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 695 n_windows 199 disjoint_training_windows True,695,199,True,0.2645115100782024,0,None,i7173,8,0 1727436663,1727436674,11,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 840 n_windows 72 disjoint_training_windows True,840,72,True,0.2645115100782024,0,None,i7173,8,0 1727436673,1727436684,11,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 398 n_windows 45 disjoint_training_windows True,398,45,True,0.2645115100782024,0,None,i7173,8,0 1727436703,1727436714,11,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 898 n_windows 192 disjoint_training_windows True,898,192,True,0.2645115100782024,0,None,i7173,7,0 1727436723,1727436734,11,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 693 n_windows 199 disjoint_training_windows True,693,199,True,0.2645115100782024,0,None,i7173,7,0 1727436734,1727436745,11,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 399 n_windows 46 disjoint_training_windows True,399,46,True,0.2645115100782024,0,None,i7173,7,0 1727436763,1727436774,11,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 274 n_windows 141 disjoint_training_windows True,274,141,True,0.2645115100782024,0,None,i7173,7,0 1727436783,1727436794,11,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 898 n_windows 192 disjoint_training_windows True,898,192,True,0.2645115100782024,0,None,i7173,7,0 1727436803,1727436814,11,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 691 n_windows 199 disjoint_training_windows True,691,199,True,0.2645115100782024,0,None,i7173,7,0 1727436823,1727436834,11,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 896 n_windows 193 disjoint_training_windows True,896,193,True,0.2645115100782024,0,None,i7173,7,0 1727436855,1727436866,11,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 841 n_windows 70 disjoint_training_windows True,841,70,True,0.2645115100782024,0,None,i7173,8,0 1727436883,1727436894,11,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 694 n_windows 199 disjoint_training_windows True,694,199,True,0.2645115100782024,0,None,i7173,7,0 1727436903,1727436914,11,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 841 n_windows 72 disjoint_training_windows True,841,72,True,0.2645115100782024,0,None,i7173,8,0 1727436915,1727436926,11,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 143 n_windows 202 disjoint_training_windows True,143,202,True,0.2645115100782024,0,None,i7173,7,0 1727436943,1727436954,11,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 694 n_windows 199 disjoint_training_windows True,694,199,True,0.2645115100782024,0,None,i7173,7,0 1727436963,1727436974,11,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 840 n_windows 72 disjoint_training_windows True,840,72,True,0.2645115100782024,0,None,i7173,7,0 1727439224,1727439244,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 342 n_windows 133 disjoint_training_windows True,342,133,True,0.2645115100782024,0,None,i7174,7,0 1727439222,1727439244,22,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 700 n_windows 147 disjoint_training_windows True,700,147,True,0.2645115100782024,0,None,i7174,7,0 1727439195,1727439245,50,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 217 n_windows 219 disjoint_training_windows True,217,219,True,0.2645115100782024,0,None,i7186,8,0 1727439236,1727439246,10,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 705 n_windows 146 disjoint_training_windows True,705,146,True,0.2645115100782024,0,None,i7174,7,0 1727439244,1727439254,10,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 732 n_windows 152 disjoint_training_windows True,732,152,True,0.2645115100782024,0,None,i7174,7,0 1727439265,1727439277,12,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 721 n_windows 148 disjoint_training_windows True,721,148,True,0.2645115100782024,0,None,i7186,8,0 1727439305,1727439317,12,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 824 n_windows 139 disjoint_training_windows True,824,139,True,0.2645115100782024,0,None,i7186,8,0 1727439325,1727439337,12,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 336 n_windows 143 disjoint_training_windows True,336,143,True,0.2645115100782024,0,None,i7186,9,0 1727439345,1727439357,12,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 810 n_windows 151 disjoint_training_windows True,810,151,True,0.2645115100782024,0,None,i7186,8,0 1727439385,1727439397,12,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 849 n_windows 130 disjoint_training_windows True,849,130,True,0.2645115100782024,0,None,i7186,8,0 1727439405,1727439417,12,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 574 n_windows 226 disjoint_training_windows True,574,226,True,0.2645115100782024,0,None,i7186,8,0 1727439418,1727439430,12,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 744 n_windows 101 disjoint_training_windows True,744,101,True,0.2645115100782024,0,None,i7186,9,0 1727439445,1727439457,12,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 803 n_windows 150 disjoint_training_windows True,803,150,True,0.2645115100782024,0,None,i7186,8,0 1727439465,1727439477,12,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 718 n_windows 152 disjoint_training_windows True,718,152,True,0.2645115100782024,0,None,i7186,8,0 1727439478,1727439490,12,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 796 n_windows 154 disjoint_training_windows True,796,154,True,0.2645115100782024,0,None,i7186,8,0 1727439505,1727439517,12,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 335 n_windows 141 disjoint_training_windows True,335,141,True,0.2645115100782024,0,None,i7186,8,0 1727442311,1727442324,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 603 n_windows 223 disjoint_training_windows True,603,223,True,0.2645115100782024,0,None,i7186,8,0 1727442341,1727442353,12,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 191 n_windows 102 disjoint_training_windows True,191,102,True,0.2645115100782024,0,None,i7186,8,0 1727442364,1727442376,12,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 UDetect n_samples 346 n_windows 150 disjoint_training_windows True,346,150,True,0.2645115100782024,0,None,i7186,8,0
timestamp,ram_usage_mb,cpu_usage_percent 1727408328,473.34765625,49.7 1727408328,473.3828125,51.6 1727408328,473.4296875,49.7 1727408328,473.4296875,38.2 1727408328,473.4296875,54.2 1727408328,473.4296875,49.9 1727408328,473.4296875,37.5 1727408373,478.1328125,49.8 1727408373,478.1328125,38.2 1727408373,478.1328125,49.8 1727408373,478.1328125,57.8 1727408374,478.1328125,49.7 1727408374,478.1328125,55.3 1727408374,478.1328125,46.8 1727408374,478.1328125,55.6 1727408376,478.1328125,49.7 1727408376,478.1328125,50.0 1727408376,478.1328125,49.6 1727408376,478.1328125,53.1 1727408377,478.1328125,49.7 1727408377,478.1328125,54.2 1727408377,478.1328125,47.7 1727408377,478.1328125,55.8 1727408379,478.1328125,49.7 1727408379,478.1328125,54.3 1727408379,478.1328125,48.1 1727408379,478.1328125,55.6 1727408380,478.1328125,49.7 1727408380,478.1328125,55.3 1727408380,478.1328125,48.1 1727408380,478.1328125,56.5 1727408381,478.1328125,49.7 1727408381,478.1328125,56.5 1727408381,478.1328125,47.2 1727408381,478.1328125,56.5 1727408383,478.1328125,49.7 1727408383,478.1328125,55.3 1727408383,478.1328125,47.2 1727408383,478.1328125,51.3 1727408384,478.1328125,49.7 1727408384,478.1328125,54.3 1727408384,478.1328125,47.7 1727408384,478.1328125,48.6 1727408385,478.1328125,49.7 1727408385,478.1328125,54.3 1727408385,478.1328125,48.1 1727408385,478.1328125,57.8 1727408387,478.1328125,49.7 1727408387,478.1328125,56.3 1727408387,478.1328125,48.1 1727408387,478.1328125,55.6 1727408389,478.1328125,49.7 1727408389,478.1328125,34.3 1727408389,478.1328125,52.5 1727408389,478.1328125,52.0 1727408390,478.1328125,49.7 1727408390,478.1328125,54.3 1727408390,478.1328125,47.2 1727408390,478.1328125,56.5 1727408391,478.1328125,49.7 1727408391,478.1328125,51.2 1727408391,478.1328125,47.4 1727408391,478.1328125,55.6 1727408393,478.1328125,49.7 1727408393,478.1328125,37.1 1727408393,478.1328125,53.8 1727408393,478.1328125,40.6 1727408394,478.1328125,49.8 1727408394,478.1328125,40.5 1727408394,478.1328125,52.6 1727408394,478.1328125,50.0 1727408395,478.13671875,49.7 1727408395,478.13671875,55.3 1727408395,478.13671875,47.6 1727408395,478.13671875,56.5 1727408397,478.13671875,49.7 1727408397,478.13671875,39.4 1727408397,478.13671875,52.5 1727408397,478.13671875,40.0 1727408398,478.13671875,49.8 1727408398,478.13671875,35.3 1727408398,478.13671875,54.2 1727408398,478.13671875,40.6 1727408400,478.13671875,49.8 1727408400,478.13671875,38.2 1727408400,478.13671875,53.3 1727408400,478.13671875,38.7 1727408401,478.14453125,49.8 1727408401,478.14453125,53.2 1727408401,478.14453125,49.1 1727408401,478.14453125,37.5 1727408403,478.14453125,49.8 1727408403,478.14453125,37.5 1727408403,478.14453125,53.3 1727408403,478.14453125,39.4 1727408404,478.14453125,49.8 1727408404,478.14453125,53.1 1727408404,478.14453125,49.1 1727408404,478.14453125,39.4 1727408406,478.14453125,49.7 1727408406,478.14453125,54.2 1727408406,478.14453125,48.1 1727408406,478.14453125,55.6 1727408407,478.14453125,49.7 1727408407,478.14453125,55.6 1727408407,478.14453125,48.6 1727408407,478.14453125,56.8 1727408408,478.14453125,49.7 1727408408,478.14453125,54.3 1727408408,478.14453125,49.1 1727408408,478.14453125,56.5 1727408410,478.14453125,49.7 1727408410,478.14453125,40.0 1727408410,478.14453125,52.5 1727408410,478.14453125,40.6 1727408411,478.14453125,49.7 1727408411,478.14453125,38.2 1727408411,478.14453125,54.2 1727408411,478.14453125,39.4 1727408413,478.14453125,49.8 1727408413,478.14453125,36.4 1727408413,478.14453125,52.1 1727408413,478.14453125,42.4 1727408414,478.14453125,49.8 1727408414,478.14453125,53.2 1727408414,478.14453125,52.0 1727408414,478.14453125,41.2 1727408415,478.14453125,49.7 1727408415,478.14453125,54.3 1727408415,478.14453125,48.8 1727408415,478.14453125,42.4 1727408417,478.14453125,49.7 1727408417,478.14453125,54.2 1727408417,478.14453125,50.0 1727408417,478.14453125,49.1 1727408418,478.14453125,49.7 1727408418,478.14453125,53.1 1727408418,478.14453125,48.6 1727408418,478.14453125,56.5 1727408419,478.14453125,49.7 1727408419,478.14453125,37.5 1727408419,478.14453125,54.2 1727408419,478.14453125,40.6 1727408421,478.14453125,49.7 1727408421,478.14453125,54.3 1727408421,478.14453125,48.1 1727408421,478.14453125,55.3 1727408422,478.14453125,49.8 1727408422,478.14453125,36.4 1727408422,478.14453125,53.7 1727408422,478.14453125,39.4 1727408424,478.14453125,49.7 1727408424,478.14453125,55.3 1727408424,478.14453125,48.1 1727408424,478.14453125,55.6 1727408425,478.14453125,49.7 1727408425,478.14453125,55.6 1727408425,478.14453125,47.2 1727408425,478.14453125,57.8 1727408426,478.14453125,49.7 1727408426,478.14453125,55.6 1727408426,478.14453125,51.7 1727408426,478.14453125,47.2 1727408428,478.14453125,49.8 1727408428,478.14453125,38.2 1727408428,478.14453125,51.8 1727408428,478.14453125,51.3 1727408429,478.14453125,49.7 1727408429,478.14453125,54.3 1727408429,478.14453125,51.2 1727408429,478.14453125,39.4 1727408430,478.14453125,49.8 1727408430,478.14453125,36.4 1727408430,478.14453125,54.6 1727408430,478.14453125,39.4 1727408432,478.14453125,49.8 1727408432,478.14453125,56.5 1727408432,478.14453125,48.6 1727408432,478.14453125,56.8 1727408433,478.14453125,49.8 1727408433,478.14453125,56.2 1727408433,478.14453125,47.2 1727408433,478.14453125,57.8 1727408435,478.14453125,49.7 1727408435,478.14453125,54.3 1727408435,478.14453125,48.6 1727408435,478.14453125,54.2 1727408436,478.14453125,49.7 1727408436,478.14453125,54.3 1727408436,478.14453125,48.6 1727408436,478.14453125,57.8 1727408437,478.14453125,49.7 1727408437,478.14453125,40.0 1727408437,478.14453125,54.7 1727408437,478.14453125,40.6 1727408439,478.14453125,49.8 1727408439,478.14453125,37.1 1727408439,478.14453125,53.3 1727408439,478.14453125,38.7 1727408440,478.1484375,49.8 1727408440,478.1484375,38.2 1727408440,478.1484375,53.3 1727408440,478.1484375,40.6 1727408442,478.1484375,49.7 1727408442,478.1484375,55.3 1727408442,478.1484375,46.7 1727408442,478.1484375,56.5 1727408443,478.1484375,49.7 1727408443,478.1484375,54.2 1727408443,478.1484375,51.4 1727408443,478.1484375,50.0 1727408444,478.1484375,49.8 1727408444,478.1484375,53.1 1727408444,478.1484375,46.4 1727408444,478.1484375,55.3 1727408446,478.1484375,49.7 1727408446,478.1484375,53.2 1727408446,478.1484375,48.1 1727408446,478.1484375,56.5 1727408447,478.1484375,49.7 1727408447,478.1484375,53.2 1727408447,478.1484375,48.1 1727408447,478.1484375,56.2 1727408449,478.1484375,49.7 1727408449,478.1484375,52.3 1727408449,478.1484375,48.6 1727408449,478.1484375,51.3 1727408450,478.1484375,49.8 1727408450,478.1484375,35.3 1727408450,478.1484375,54.2 1727408450,478.1484375,38.7 1727408451,478.1484375,49.8 1727408451,478.1484375,35.3 1727408451,478.1484375,53.8 1727408451,478.1484375,38.2 1727408453,478.1484375,49.8 1727408453,478.1484375,48.8 1727408453,478.1484375,50.9 1727408453,478.1484375,40.6 1727408454,478.1484375,49.8 1727408454,478.1484375,54.3 1727408454,478.1484375,49.0 1727408454,478.1484375,53.1 1727408455,478.1484375,49.7 1727408455,478.1484375,53.2 1727408455,478.1484375,48.8 1727408455,478.1484375,47.7 1727408457,478.1484375,49.7 1727408457,478.1484375,38.2 1727408457,478.1484375,52.8 1727408457,478.1484375,37.9 1727408458,478.1484375,49.7 1727408458,478.1484375,51.2 1727408458,478.1484375,50.9 1727408458,478.1484375,40.6 1727408460,478.1484375,49.7 1727408460,478.1484375,53.2 1727408460,478.1484375,48.6 1727408460,478.1484375,55.6 1727408461,478.1484375,49.8 1727408461,478.1484375,56.2 1727408461,478.1484375,46.3 1727408461,478.1484375,55.6 1727408462,478.1484375,49.8 1727408462,478.1484375,54.2 1727408462,478.1484375,51.2 1727408462,478.1484375,42.4 1727408464,478.1484375,49.7 1727408464,478.1484375,54.3 1727408464,478.1484375,51.6 1727408464,478.1484375,44.1 1727408465,478.16015625,49.8 1727408465,478.16015625,54.3 1727408465,478.16015625,46.3 1727408465,478.16015625,56.5 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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 (2024-09-27 05:47:35,319) - Starting with JobEnvironment(job_id=2242642, hostname=i7186, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2024-09-27 05:47:35,321) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/unsupervised-concept-drift-detection-main/runs/UDetect_NOAAWeather/0/single_runs/2242642/2242642_submitted.pkl
Parameters: {"n_samples": 374, "n_windows": 28, "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 NOAAWeather 1000 UDetect n_samples 374 n_windows 28 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: 1727408232.0
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: 1727408232.0
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 NOAAWeather 1000 UDetect n_samples 374 n_windows 28 disjoint_training_windows True
stdout:
RESULT: 0.2645115100782024
OO-Info: runtime: 12
OO-Info: lpd: 0
Result: 0.2645115100782024
EXIT_CODE: 0
submitit INFO (2024-09-27 05:47:57,919) - Job completed successfully
submitit INFO (2024-09-27 05:47:57,921) - Exiting after successful completion
Job-Infos
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border: 2px solid #0056b3;
text-align: center;
transition: all 0.3s ease-in-out;
}
.top_link:hover {
background-color: #0056b3;
border-color: #004494;
}
.top_link:active {
background-color: #003366;
border-color: #002244;
}
button {
color: black;
}
.share_folder_buttons {
width: fit-content;
}
button {
background: #fcfcfe;
border-color: #919b9c;
border-top-color: rgb(145, 155, 156);
border-bottom-color: rgb(145, 155, 156);
margin-right: -1px;
border-bottom: 1px solid transparent;
border-top: 1px solid #e68b2c;
box-shadow: inset 0 2px #ffc73c;
}
button {
padding-bottom: 2px;
margin-top: -2px;
background-color: #ece9d8;
position: relative;
z-index: 8;
margin-left: -3px;
margin-bottom: 1px;
}
.window {
min-width: 1100px;
}
.error_text {
color: red;
}
[role="tab"] {
padding: 10px !important;
}
[role="tabpanel"] {
min-width: fit-content;
}
select {
border: 1px solid #7f9db9;
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-family: 'IBM Plex Sans', 'Source Sans Pro', sans-serif;
background-color: #fafafa;
font-variant: oldstyle-nums;
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: 25px 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;
}
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%;
min-height: 80px;
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: 60px;
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;
color: #007bff;
}
.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;
}
.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;
}
.logo-img {
max-height: 50px;
pointer-events: unset;
}
.badge-img {
max-width: 100px;
}
.nav-tab {
font-size: 0.9rem;
padding: 6px 12px;
}
.header_button {
font-size: 2em;
}
}
.header_button {
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;
}
/*! 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 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 8h3'/%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 4h2M6 6h2M3 7h1'/%3E%3Cpath 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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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464.6015625,
38.2
],
[
1727421271,
464.6015625,
50.8
],
[
1727421271,
464.6015625,
52.1
],
[
1727421281,
464.6015625,
50
],
[
1727421281,
464.6015625,
52
],
[
1727421281,
464.6015625,
50.4
],
[
1727421281,
464.6015625,
51.2
],
[
1727421292,
464.6015625,
50
],
[
1727421292,
464.6015625,
56.5
],
[
1727421292,
464.6015625,
50.1
],
[
1727421292,
464.6015625,
52.4
],
[
1727421302,
464.6015625,
50
],
[
1727421302,
464.6015625,
41.7
],
[
1727421302,
464.6015625,
49.9
],
[
1727421302,
464.6015625,
56.5
],
[
1727421313,
464.6015625,
50
],
[
1727421313,
464.6015625,
55.6
],
[
1727421313,
464.6015625,
49.3
],
[
1727421313,
464.6015625,
56.5
],
[
1727421324,
464.6015625,
50
],
[
1727421324,
464.6015625,
40
],
[
1727421324,
464.6015625,
50.7
],
[
1727421324,
464.6015625,
55.6
],
[
1727421335,
464.6015625,
50
],
[
1727421335,
464.6015625,
41
],
[
1727421335,
464.6015625,
50.7
],
[
1727421335,
464.6015625,
40.6
],
[
1727421345,
464.6015625,
50
],
[
1727421345,
464.6015625,
52.1
],
[
1727421345,
464.6015625,
49.3
],
[
1727421345,
464.6015625,
57.8
],
[
1727421356,
464.6015625,
50
],
[
1727421356,
464.6015625,
54.3
],
[
1727421356,
464.6015625,
49.2
],
[
1727421356,
464.6015625,
56.5
],
[
1727421366,
464.6015625,
50
],
[
1727421366,
464.6015625,
40
],
[
1727421366,
464.6015625,
49.7
],
[
1727421366,
464.6015625,
56.5
],
[
1727421377,
464.6015625,
50
],
[
1727421377,
464.6015625,
40
],
[
1727421377,
464.6015625,
50.7
],
[
1727421377,
464.6015625,
50
],
[
1727421387,
464.6015625,
50
],
[
1727421387,
464.60546875,
54.3
],
[
1727421387,
464.60546875,
50.6
],
[
1727421387,
464.60546875,
41.2
],
[
1727421398,
464.6015625,
50
],
[
1727421398,
464.6015625,
47.5
],
[
1727421398,
464.6015625,
50.2
],
[
1727421398,
464.6015625,
39.4
],
[
1727421408,
465.60546875,
50
],
[
1727421408,
465.60546875,
55.3
],
[
1727421408,
465.60546875,
50.1
],
[
1727421408,
465.60546875,
55.6
],
[
1727421419,
465.60546875,
50
],
[
1727421419,
465.60546875,
54.3
],
[
1727421419,
465.60546875,
50
],
[
1727421419,
465.60546875,
39.4
],
[
1727421429,
464.6015625,
50
],
[
1727421429,
464.6015625,
46.2
],
[
1727421429,
464.6015625,
49.8
],
[
1727421429,
464.6015625,
56.8
],
[
1727421440,
464.6015625,
50
],
[
1727421440,
464.6015625,
35.3
],
[
1727421440,
464.6015625,
51.3
],
[
1727421440,
464.6015625,
37.5
],
[
1727421450,
464.6015625,
50
],
[
1727421450,
464.6015625,
56.5
],
[
1727421450,
464.6015625,
49.7
],
[
1727421450,
464.6015625,
40.6
],
[
1727421461,
464.6015625,
50
],
[
1727421461,
464.6015625,
36.4
],
[
1727421461,
464.6015625,
51.2
],
[
1727421461,
464.6015625,
38.7
],
[
1727421471,
464.6015625,
50
],
[
1727421471,
464.6015625,
53.1
],
[
1727421471,
464.6015625,
49.6
],
[
1727421471,
464.6015625,
51.2
],
[
1727421482,
464.6015625,
50
],
[
1727421482,
464.6015625,
38.2
],
[
1727421482,
464.6015625,
50.7
],
[
1727421482,
464.6015625,
44.4
],
[
1727421492,
465.60546875,
50
],
[
1727421492,
465.60546875,
36.4
],
[
1727421492,
465.60546875,
51.1
],
[
1727421492,
465.60546875,
40.6
],
[
1727421503,
464.6015625,
50
],
[
1727421503,
464.6015625,
37.5
],
[
1727421503,
464.6015625,
50.3
],
[
1727421503,
464.6015625,
54.8
],
[
1727421513,
464.6015625,
50
],
[
1727421513,
464.6015625,
55.6
],
[
1727421513,
464.6015625,
49.3
],
[
1727421513,
464.6015625,
56.8
],
[
1727421523,
464.6015625,
50
],
[
1727421523,
464.6015625,
38.2
],
[
1727421523,
464.6015625,
49.9
],
[
1727421523,
464.6015625,
57.8
],
[
1727422299,
511.3203125,
50.2
],
[
1727422299,
511.3203125,
53.2
],
[
1727422299,
511.3203125,
49.7
],
[
1727422299,
511.3203125,
57.1
],
[
1727422994,
502.703125,
50.2
],
[
1727422994,
502.703125,
38.2
],
[
1727422994,
502.703125,
50.4
],
[
1727422994,
502.703125,
41.2
],
[
1727423834,
498.74609375,
50.2
],
[
1727423834,
498.74609375,
38.9
],
[
1727423834,
498.74609375,
50.2
],
[
1727423834,
498.74609375,
55.6
],
[
1727424692,
497.29296875,
50.2
],
[
1727424692,
497.29296875,
51
],
[
1727424692,
497.29296875,
49.6
],
[
1727424692,
497.29296875,
56.8
],
[
1727425532,
502.515625,
50.2
],
[
1727425532,
502.515625,
38.9
],
[
1727425532,
502.515625,
50.6
],
[
1727425532,
502.515625,
54.2
],
[
1727426813,
523.859375,
50.3
],
[
1727426813,
523.859375,
56.5
],
[
1727426813,
523.859375,
49.2
],
[
1727426813,
523.859375,
56.5
],
[
1727427715,
498.39453125,
50.2
],
[
1727427715,
498.39453125,
54.3
],
[
1727427716,
498.39453125,
50.1
],
[
1727427716,
498.39453125,
53.5
],
[
1727428672,
474.05078125,
50.2
],
[
1727428672,
474.05078125,
37.1
],
[
1727428672,
474.05078125,
50.6
],
[
1727428672,
474.05078125,
40.6
],
[
1727429768,
551.9453125,
50.2
],
[
1727429768,
551.9453125,
57.1
],
[
1727429768,
551.9453125,
49.3
],
[
1727429768,
551.9453125,
53.5
],
[
1727430846,
643.72265625,
50.2
],
[
1727430846,
643.72265625,
56.3
],
[
1727430846,
643.72265625,
49.2
],
[
1727430846,
643.72265625,
56.8
],
[
1727432112,
524.984375,
50.2
],
[
1727432112,
524.9921875,
55.3
],
[
1727432112,
524.9921875,
50.4
],
[
1727432112,
524.9921875,
40.6
],
[
1727434290,
532.74609375,
50.4
],
[
1727434290,
532.74609375,
51
],
[
1727434290,
532.74609375,
50.2
],
[
1727434290,
532.74609375,
39.4
],
[
1727435639,
494.859375,
50.3
],
[
1727435639,
494.859375,
54.2
],
[
1727435639,
494.859375,
49.8
],
[
1727435639,
494.859375,
46.3
],
[
1727436962,
546.1640625,
50.2
],
[
1727436962,
546.1640625,
54.3
],
[
1727436962,
546.1640625,
49.4
],
[
1727436962,
546.1640625,
56.8
],
[
1727439508,
550.98046875,
50.3
],
[
1727439508,
550.98046875,
52.1
],
[
1727439508,
550.98046875,
49.5
],
[
1727439508,
550.98046875,
56.5
],
[
1727442361,
565.9921875,
50.4
],
[
1727442361,
565.9921875,
56.3
],
[
1727442384,
566.00390625,
49.7
],
[
1727442384,
566.00390625,
36.4
]
];
var tab_main_worker_cpu_ram_headers_json = [
"timestamp",
"ram_usage_mb",
"cpu_usage_percent"
];
"use strict";
function add_default_layout_data (layout) {
layout["width"] = get_graph_width();
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
}).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) &&
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) &&
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));
}
}
}
}
$("#plotScatter3d").data("loaded", "true");
}
async function load_pareto_graph() {
if($("#tab_pareto_fronts").data("loaded") == "true") {
return;
}
var data = pareto_front_data;
if (!data || typeof data !== "object") {
console.error("Invalid data format for pareto_front_data");
return;
}
if (!Object.keys(data).length) {
console.warn("No data found in pareto_front_data");
return;
}
let categories = Object.keys(data);
let allMetrics = new Set();
function extractMetrics(obj, prefix = "") {
let keys = Object.keys(obj);
for (let key of keys) {
let newPrefix = prefix ? `${prefix} -> ${key}` : key;
if (typeof obj[key] === "object" && !Array.isArray(obj[key])) {
extractMetrics(obj[key], newPrefix);
} else {
if (!newPrefix.includes("param_dicts") && !newPrefix.includes(" -> sems -> ") && !newPrefix.includes("absolute_metrics")) {
allMetrics.add(newPrefix);
}
}
}
}
for (let cat of categories) {
extractMetrics(data[cat]);
}
allMetrics = Array.from(allMetrics);
function extractValues(obj, metricPath, values) {
let parts = metricPath.split(" -> ");
let data = obj;
for (let part of parts) {
if (data && typeof data === "object") {
data = data[part];
} else {
return;
}
}
if (Array.isArray(data)) {
values.push(...data);
}
}
let graphContainer = document.getElementById("pareto_front_graphs_container");
graphContainer.classList.add("invert_in_dark_mode");
graphContainer.innerHTML = "";
var already_plotted = [];
for (let i = 0; i < allMetrics.length; i++) {
for (let j = i + 1; j < allMetrics.length; j++) {
let xMetric = allMetrics[i];
let yMetric = allMetrics[j];
let xValues = [];
let yValues = [];
for (let cat of categories) {
let metricData = data[cat];
extractValues(metricData, xMetric, xValues);
extractValues(metricData, yMetric, yValues);
}
xValues = xValues.filter(v => v !== undefined && v !== null);
yValues = yValues.filter(v => v !== undefined && v !== null);
let cleanXMetric = xMetric.replace(/.* -> /g, "");
let cleanYMetric = yMetric.replace(/.* -> /g, "");
let plot_key = `${cleanXMetric}-${cleanYMetric}`;
if (xValues.length > 0 && yValues.length > 0 && xValues.length === yValues.length && !already_plotted.includes(plot_key)) {
let div = document.createElement("div");
div.id = `pareto_front_graph_${i}_${j}`;
div.style.marginBottom = "20px";
graphContainer.appendChild(div);
let layout = {
title: `${cleanXMetric} vs ${cleanYMetric}`,
xaxis: {
title: get_axis_title_data(cleanXMetric)
},
yaxis: {
title: get_axis_title_data(cleanYMetric)
},
hovermode: "closest"
};
let trace = {
x: xValues,
y: yValues,
mode: "markers",
marker: {
size: get_marker_size(),
},
type: "scatter",
name: `${cleanXMetric} vs ${cleanYMetric}`
};
Plotly.newPlot(div.id, [trace], add_default_layout_data(layout));
already_plotted.push(plot_key);
}
}
}
if (typeof apply_theme_based_on_system_preferences === 'function') {
apply_theme_based_on_system_preferences();
}
$("#tab_pareto_fronts").data("loaded", "true");
}
async function plot_worker_cpu_ram() {
if($("#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) &&
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;
}
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) &&
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) &&
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_method";
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', // Zeigt nur Ausreißer außerhalb der Whiskers
jitter: 0.5, // Erhöht die Streuung der Punkte für bessere Sichtbarkeit
pointpos: 0 // Position der Punkte innerhalb der Box
};
});
var layout = {
title: 'Distribution of Results by Generation Method',
yaxis: {
title: get_axis_title_data(res_col)
},
xaxis: {
title: "Generation Method"
},
boxmode: 'group' // Gruppiert die Boxplots nach Generation Method
};
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));
$("#plotJobStatusDistribution").data("loaded", "true");
}
function _colorize_table_entries_by_generation_method () {
document.querySelectorAll('[data-column-id="generation_method"]').forEach(el => {
let color = el.textContent.includes("Manual") ? "green" :
el.textContent.includes("Sobol") ? "orange" :
el.textContent.includes("SAASBO") ? "pink" :
el.textContent.includes("Uniform") ? "lightblue" :
el.textContent.includes("Legacy_GPEI") ? "Sienna" :
el.textContent.includes("BO_MIXED") ? "Aqua" :
el.textContent.includes("RANDOMFOREST") ? "DarkSeaGreen" :
el.textContent.includes("EXTERNAL_GENERATOR") ? "Purple" :
el.textContent.includes("BoTorch") ? "yellow" : "";
if (color) el.style.backgroundColor = color;
el.classList.add("invert_in_dark_mode");
});
}
function _colorize_table_entries_by_trial_status () {
document.querySelectorAll('[data-column-id="trial_status"]').forEach(el => {
let color = el.textContent.includes("COMPLETED") ? "lightgreen" :
el.textContent.includes("RUNNING") ? "orange" :
el.textContent.includes("FAILED") ? "red" : "";
if (color) el.style.backgroundColor = color;
el.classList.add("invert_in_dark_mode");
});
}
function _colorize_table_entries_by_run_time() {
let cells = [...document.querySelectorAll('[data-column-id="run_time"]')];
if (cells.length === 0) return;
let values = cells.map(el => parseFloat(el.textContent)).filter(v => !isNaN(v));
if (values.length === 0) return;
let min = Math.min(...values);
let max = Math.max(...values);
let range = max - min || 1;
cells.forEach(el => {
let value = parseFloat(el.textContent);
if (isNaN(value)) return;
let ratio = (value - min) / range;
let red = Math.round(255 * ratio);
let green = Math.round(255 * (1 - ratio));
el.style.backgroundColor = `rgb(${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';
}
}
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();
});
$(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> 346</td><td>150</td><td>1</td><td>0.264512 </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><br><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>498</td>
<td>17</td>
<td>515</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,0.264511510078202394247171014285,374,28,True
1,1_0,COMPLETED,Sobol,0.290230201564048884144142448349,422,149,False
2,2_0,COMPLETED,Sobol,0.264511510078202394247171014285,223,144,True
3,3_0,COMPLETED,Sobol,0.264511510078202394247171014285,226,89,True
4,4_0,COMPLETED,Sobol,0.264511510078202394247171014285,871,127,True
5,5_0,COMPLETED,Sobol,0.264511510078202394247171014285,925,154,True
6,6_0,COMPLETED,Sobol,0.301960568344531332662938893918,234,193,False
7,7_0,COMPLETED,Sobol,0.297664941072805389055133673537,794,25,False
8,8_0,COMPLETED,Sobol,0.292653375922458436342310506006,509,131,False
9,9_0,COMPLETED,Sobol,0.264511510078202394247171014285,761,149,True
10,10_0,COMPLETED,Sobol,0.264511510078202394247171014285,524,65,True
11,11_0,COMPLETED,Sobol,0.300804053309835839336017215828,938,219,False
12,12_0,COMPLETED,Sobol,0.301244630465910323557920946769,269,46,False
13,13_0,COMPLETED,Sobol,0.270899878841282082397867725376,180,54,False
14,14_0,COMPLETED,Sobol,0.264511510078202394247171014285,333,121,True
15,15_0,COMPLETED,Sobol,0.264511510078202394247171014285,874,150,True
16,16_0,COMPLETED,Sobol,0.264511510078202394247171014285,200,50,True
17,17_0,COMPLETED,Sobol,0.264511510078202394247171014285,338,153,True
18,18_0,COMPLETED,Sobol,0.264511510078202394247171014285,987,238,True
19,19_0,COMPLETED,Sobol,0.264511510078202394247171014285,231,90,True
20,20_0,COMPLETED,BoTorch,0.264511510078202394247171014285,574,126,True
21,21_0,COMPLETED,BoTorch,0.264511510078202394247171014285,621,203,True
22,22_0,COMPLETED,BoTorch,0.264511510078202394247171014285,100,64,True
23,23_0,COMPLETED,BoTorch,0.264511510078202394247171014285,491,101,True
24,24_0,COMPLETED,BoTorch,0.264511510078202394247171014285,441,93,True
25,25_0,COMPLETED,BoTorch,0.264511510078202394247171014285,449,100,True
26,26_0,COMPLETED,BoTorch,0.264511510078202394247171014285,573,125,True
27,27_0,COMPLETED,BoTorch,0.264511510078202394247171014285,1000,188,True
28,28_0,COMPLETED,BoTorch,0.264511510078202394247171014285,100,60,True
29,29_0,COMPLETED,BoTorch,0.308404009252120303585797955748,320,154,False
30,30_0,COMPLETED,BoTorch,0.264511510078202394247171014285,100,69,True
31,31_0,COMPLETED,BoTorch,0.264511510078202394247171014285,100,51,True
32,32_0,COMPLETED,BoTorch,0.264511510078202394247171014285,612,115,True
33,33_0,COMPLETED,BoTorch,0.264511510078202394247171014285,313,86,True
34,34_0,COMPLETED,BoTorch,0.264511510078202394247171014285,289,73,True
35,35_0,COMPLETED,BoTorch,0.264511510078202394247171014285,268,81,True
36,36_0,COMPLETED,BoTorch,0.264511510078202394247171014285,483,250,True
37,37_0,COMPLETED,BoTorch,0.264511510078202394247171014285,574,119,True
38,38_0,COMPLETED,BoTorch,0.280592576274920180168237493490,100,25,False
39,39_0,COMPLETED,BoTorch,0.264511510078202394247171014285,592,119,True
40,40_0,COMPLETED,BoTorch,0.264511510078202394247171014285,354,90,True
41,38_0,COMPLETED,BoTorch,0.280592576274920180168237493490,100,25,False
42,42_0,COMPLETED,BoTorch,0.264511510078202394247171014285,312,84,True
43,43_0,COMPLETED,BoTorch,0.264511510078202394247171014285,563,131,True
44,44_0,COMPLETED,BoTorch,0.264511510078202394247171014285,336,88,True
45,45_0,COMPLETED,BoTorch,0.264511510078202394247171014285,186,64,True
46,46_0,COMPLETED,BoTorch,0.264511510078202394247171014285,589,136,True
47,47_0,COMPLETED,BoTorch,0.264511510078202394247171014285,198,74,True
48,48_0,COMPLETED,BoTorch,0.264511510078202394247171014285,618,142,True
49,49_0,COMPLETED,BoTorch,0.277894041193964103086955219624,100,35,True
50,50_0,COMPLETED,BoTorch,0.264511510078202394247171014285,572,135,True
51,51_0,COMPLETED,BoTorch,0.279656349818261928952267680870,100,34,True
52,52_0,COMPLETED,BoTorch,0.279656349818261928952267680870,100,25,True
53,53_0,COMPLETED,BoTorch,0.264511510078202394247171014285,569,139,True
54,54_0,COMPLETED,BoTorch,0.264511510078202394247171014285,100,70,True
55,55_0,COMPLETED,BoTorch,0.264511510078202394247171014285,594,139,True
56,56_0,COMPLETED,BoTorch,0.264511510078202394247171014285,607,161,True
57,57_0,COMPLETED,BoTorch,0.264511510078202394247171014285,612,168,True
58,58_0,COMPLETED,BoTorch,0.264511510078202394247171014285,592,160,True
59,38_0,COMPLETED,BoTorch,0.280592576274920180168237493490,100,25,False
60,60_0,COMPLETED,BoTorch,0.264511510078202394247171014285,698,188,True
61,61_0,COMPLETED,BoTorch,0.301850424055512767118614192441,960,189,False
62,62_0,COMPLETED,BoTorch,0.264511510078202394247171014285,633,172,True
63,63_0,COMPLETED,BoTorch,0.264511510078202394247171014285,1000,25,True
64,64_0,COMPLETED,BoTorch,0.264511510078202394247171014285,611,164,True
65,65_0,COMPLETED,BoTorch,0.279656349818261928952267680870,100,31,True
66,66_0,COMPLETED,BoTorch,0.264511510078202394247171014285,631,177,True
67,67_0,COMPLETED,BoTorch,0.264511510078202394247171014285,816,172,True
68,68_0,COMPLETED,BoTorch,0.264511510078202394247171014285,410,135,True
69,69_0,COMPLETED,BoTorch,0.264511510078202394247171014285,100,137,True
70,70_0,COMPLETED,BoTorch,0.264511510078202394247171014285,763,221,True
71,71_0,COMPLETED,BoTorch,0.282575173477255248144501820207,100,68,False
72,72_0,COMPLETED,BoTorch,0.264511510078202394247171014285,100,250,True
73,73_0,COMPLETED,BoTorch,0.302070712633549898207263595395,1000,151,False
74,74_0,COMPLETED,BoTorch,0.283566472078422782132633983565,100,70,False
75,75_0,COMPLETED,BoTorch,0.304879392003524651855173033255,100,250,False
76,76_0,COMPLETED,BoTorch,0.281528802731578320361904843594,100,65,False
77,77_0,COMPLETED,BoTorch,0.264511510078202394247171014285,706,235,True
78,78_0,COMPLETED,BoTorch,0.264511510078202394247171014285,1000,77,True
79,74_0,COMPLETED,BoTorch,0.283566472078422782132633983565,100,70,False
80,80_0,RUNNING,BoTorch,,100,73,False
81,81_0,RUNNING,BoTorch,,570,25,True
82,82_0,COMPLETED,BoTorch,0.264511510078202394247171014285,703,250,True
83,83_0,COMPLETED,BoTorch,0.264511510078202394247171014285,630,25,True
84,84_0,COMPLETED,BoTorch,0.264511510078202394247171014285,100,178,True
85,85_0,COMPLETED,BoTorch,0.264511510078202394247171014285,643,25,True
86,72_0,COMPLETED,BoTorch,0.264511510078202394247171014285,100,250,True
87,87_0,COMPLETED,BoTorch,0.264511510078202394247171014285,1000,64,True
88,88_0,COMPLETED,BoTorch,0.301575063332966131213197513716,956,192,False
89,89_0,COMPLETED,BoTorch,0.264511510078202394247171014285,483,138,True
90,72_0,COMPLETED,BoTorch,0.264511510078202394247171014285,100,250,True
91,91_0,COMPLETED,BoTorch,0.280317215552373655285123277281,100,40,False
92,92_0,COMPLETED,BoTorch,0.264511510078202394247171014285,313,225,True
93,93_0,COMPLETED,BoTorch,0.264511510078202394247171014285,296,250,True
94,94_0,COMPLETED,BoTorch,0.302346073356096534112680274120,1000,250,False
95,95_0,COMPLETED,BoTorch,0.264511510078202394247171014285,788,59,True
96,96_0,COMPLETED,BoTorch,0.264511510078202394247171014285,895,210,True
97,97_0,COMPLETED,BoTorch,0.264511510078202394247171014285,876,25,True
98,98_0,COMPLETED,BoTorch,0.264511510078202394247171014285,810,92,True
99,99_0,COMPLETED,BoTorch,0.264511510078202394247171014285,1000,108,True
100,100_0,COMPLETED,BoTorch,0.264511510078202394247171014285,1000,51,True
101,101_0,COMPLETED,BoTorch,0.264511510078202394247171014285,211,250,True
102,102_0,COMPLETED,BoTorch,0.264511510078202394247171014285,255,192,True
103,103_0,COMPLETED,BoTorch,0.264511510078202394247171014285,819,71,True
104,104_0,COMPLETED,BoTorch,0.264511510078202394247171014285,860,41,True
105,105_0,COMPLETED,BoTorch,0.264511510078202394247171014285,100,217,True
106,106_0,COMPLETED,BoTorch,0.264511510078202394247171014285,779,73,True
107,107_0,COMPLETED,BoTorch,0.264511510078202394247171014285,925,67,True
108,108_0,COMPLETED,BoTorch,0.264511510078202394247171014285,138,114,True
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110,110_0,COMPLETED,BoTorch,0.264511510078202394247171014285,532,218,True
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112,112_0,COMPLETED,BoTorch,0.264511510078202394247171014285,535,217,True
113,113_0,COMPLETED,BoTorch,0.290891067298160610476998044760,532,250,False
114,114_0,COMPLETED,BoTorch,0.264511510078202394247171014285,493,212,True
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116,116_0,COMPLETED,BoTorch,0.264511510078202394247171014285,443,158,True
117,117_0,COMPLETED,BoTorch,0.264511510078202394247171014285,542,218,True
118,118_0,COMPLETED,BoTorch,0.264511510078202394247171014285,147,122,True
119,119_0,COMPLETED,BoTorch,0.264511510078202394247171014285,527,214,True
120,120_0,COMPLETED,BoTorch,0.264511510078202394247171014285,898,106,True
121,121_0,COMPLETED,BoTorch,0.264511510078202394247171014285,147,123,True
122,122_0,COMPLETED,BoTorch,0.264511510078202394247171014285,408,166,True
123,123_0,COMPLETED,BoTorch,0.292157726621874669348244424327,494,113,False
124,124_0,COMPLETED,BoTorch,0.264511510078202394247171014285,674,112,True
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126,126_0,COMPLETED,BoTorch,0.264511510078202394247171014285,494,25,True
127,127_0,COMPLETED,BoTorch,0.264511510078202394247171014285,100,126,True
128,128_0,COMPLETED,BoTorch,0.264511510078202394247171014285,436,54,True
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130,130_0,COMPLETED,BoTorch,0.264511510078202394247171014285,615,54,True
131,131_0,COMPLETED,BoTorch,0.264511510078202394247171014285,401,153,True
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133,133_0,COMPLETED,BoTorch,0.264511510078202394247171014285,919,65,True
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138,138_0,COMPLETED,BoTorch,0.297609868928296106282971322798,1000,25,False
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140,140_0,COMPLETED,BoTorch,0.264511510078202394247171014285,686,75,True
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142,142_0,COMPLETED,BoTorch,0.264511510078202394247171014285,297,143,True
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144,144_0,COMPLETED,BoTorch,0.264511510078202394247171014285,567,71,True
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146,146_0,COMPLETED,BoTorch,0.264511510078202394247171014285,532,82,True
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148,148_0,COMPLETED,BoTorch,0.264511510078202394247171014285,558,192,True
149,149_0,COMPLETED,BoTorch,0.264511510078202394247171014285,305,140,True
150,150_0,COMPLETED,BoTorch,0.305264897015089742282611950941,586,197,False
151,151_0,COMPLETED,BoTorch,0.264511510078202394247171014285,1000,199,True
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153,153_0,COMPLETED,BoTorch,0.303998237691375683411365571374,588,200,False
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155,155_0,COMPLETED,BoTorch,0.264511510078202394247171014285,831,235,True
156,156_0,COMPLETED,BoTorch,0.264511510078202394247171014285,870,192,True
157,157_0,COMPLETED,BoTorch,0.264511510078202394247171014285,140,91,True
158,158_0,COMPLETED,BoTorch,0.264511510078202394247171014285,391,230,True
159,159_0,COMPLETED,BoTorch,0.264511510078202394247171014285,246,227,True
160,160_0,COMPLETED,BoTorch,0.264511510078202394247171014285,443,183,True
161,161_0,COMPLETED,BoTorch,0.264511510078202394247171014285,851,224,True
162,162_0,COMPLETED,BoTorch,0.264511510078202394247171014285,611,93,True
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165,165_0,COMPLETED,BoTorch,0.264511510078202394247171014285,151,91,True
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168,168_0,COMPLETED,BoTorch,0.299977971142196264686674567201,1000,75,False
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170,170_0,COMPLETED,BoTorch,0.264511510078202394247171014285,886,76,True
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172,172_0,COMPLETED,BoTorch,0.264511510078202394247171014285,481,232,True
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180,180_0,COMPLETED,BoTorch,0.264511510078202394247171014285,916,48,True
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184,184_0,COMPLETED,BoTorch,0.297995373939861196710410240485,454,172,False
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188,188_0,COMPLETED,BoTorch,0.264511510078202394247171014285,615,37,True
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190,190_0,COMPLETED,BoTorch,0.264511510078202394247171014285,453,236,True
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198,198_0,COMPLETED,BoTorch,0.264511510078202394247171014285,532,96,True
199,199_0,COMPLETED,BoTorch,0.299372177552593932148283784045,1000,120,False
200,200_0,COMPLETED,BoTorch,0.264511510078202394247171014285,528,104,True
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262,262_0,COMPLETED,BoTorch,0.264511510078202394247171014285,100,158,True
263,263_0,COMPLETED,BoTorch,0.294966405991849311973851399671,420,241,False
264,264_0,COMPLETED,BoTorch,0.264511510078202394247171014285,336,37,True
265,265_0,COMPLETED,BoTorch,0.264511510078202394247171014285,972,155,True
266,266_0,COMPLETED,BoTorch,0.264511510078202394247171014285,777,120,True
267,267_0,COMPLETED,BoTorch,0.264511510078202394247171014285,591,62,True
268,268_0,COMPLETED,BoTorch,0.264511510078202394247171014285,162,141,True
269,269_0,COMPLETED,BoTorch,0.302015640489040615435101244657,1000,213,False
270,270_0,COMPLETED,BoTorch,0.264511510078202394247171014285,976,33,True
271,271_0,COMPLETED,BoTorch,0.264511510078202394247171014285,221,70,True
272,272_0,COMPLETED,BoTorch,0.264511510078202394247171014285,536,188,True
273,273_0,COMPLETED,BoTorch,0.264511510078202394247171014285,100,148,True
274,274_0,COMPLETED,BoTorch,0.264511510078202394247171014285,555,25,True
275,275_0,COMPLETED,BoTorch,0.264511510078202394247171014285,585,250,True
276,276_0,COMPLETED,BoTorch,0.264511510078202394247171014285,100,76,True
277,277_0,COMPLETED,BoTorch,0.264511510078202394247171014285,353,163,True
278,278_0,COMPLETED,BoTorch,0.264511510078202394247171014285,100,237,True
279,279_0,COMPLETED,BoTorch,0.264511510078202394247171014285,709,167,True
280,280_0,COMPLETED,BoTorch,0.264511510078202394247171014285,580,250,True
281,281_0,COMPLETED,BoTorch,0.264511510078202394247171014285,550,52,True
282,282_0,COMPLETED,BoTorch,0.264511510078202394247171014285,714,167,True
283,283_0,COMPLETED,BoTorch,0.264511510078202394247171014285,357,162,True
284,284_0,COMPLETED,BoTorch,0.264511510078202394247171014285,353,161,True
285,280_0,COMPLETED,BoTorch,0.264511510078202394247171014285,580,250,True
286,286_0,COMPLETED,BoTorch,0.264511510078202394247171014285,553,53,True
287,280_0,COMPLETED,BoTorch,0.264511510078202394247171014285,580,250,True
288,288_0,COMPLETED,BoTorch,0.264511510078202394247171014285,551,52,True
289,289_0,COMPLETED,BoTorch,0.264511510078202394247171014285,581,250,True
290,290_0,COMPLETED,BoTorch,0.264511510078202394247171014285,473,120,True
291,291_0,COMPLETED,BoTorch,0.264511510078202394247171014285,705,177,True
292,292_0,COMPLETED,BoTorch,0.264511510078202394247171014285,691,176,True
293,293_0,COMPLETED,BoTorch,0.264511510078202394247171014285,304,167,True
294,294_0,COMPLETED,BoTorch,0.264511510078202394247171014285,703,177,True
295,295_0,COMPLETED,BoTorch,0.264511510078202394247171014285,565,50,True
296,296_0,COMPLETED,BoTorch,0.264511510078202394247171014285,708,177,True
297,297_0,COMPLETED,BoTorch,0.264511510078202394247171014285,483,117,True
298,298_0,COMPLETED,BoTorch,0.264511510078202394247171014285,704,177,True
299,299_0,COMPLETED,BoTorch,0.264511510078202394247171014285,567,50,True
300,300_0,COMPLETED,BoTorch,0.264511510078202394247171014285,568,50,True
301,301_0,COMPLETED,BoTorch,0.264511510078202394247171014285,1000,127,True
302,302_0,COMPLETED,BoTorch,0.264511510078202394247171014285,307,166,True
303,303_0,COMPLETED,BoTorch,0.264511510078202394247171014285,698,177,True
304,304_0,COMPLETED,BoTorch,0.264511510078202394247171014285,694,177,True
305,305_0,COMPLETED,BoTorch,0.264511510078202394247171014285,116,71,True
306,306_0,COMPLETED,BoTorch,0.264511510078202394247171014285,306,166,True
307,307_0,COMPLETED,BoTorch,0.264511510078202394247171014285,1000,93,True
308,300_0,COMPLETED,BoTorch,0.264511510078202394247171014285,568,50,True
309,309_0,COMPLETED,BoTorch,0.264511510078202394247171014285,546,50,True
310,310_0,COMPLETED,BoTorch,0.264511510078202394247171014285,346,165,True
311,311_0,COMPLETED,BoTorch,0.264511510078202394247171014285,547,50,True
312,312_0,COMPLETED,BoTorch,0.264511510078202394247171014285,135,72,True
313,309_0,COMPLETED,BoTorch,0.264511510078202394247171014285,546,50,True
314,314_0,COMPLETED,BoTorch,0.264511510078202394247171014285,343,164,True
315,311_0,COMPLETED,BoTorch,0.264511510078202394247171014285,547,50,True
316,316_0,COMPLETED,BoTorch,0.264511510078202394247171014285,340,164,True
317,317_0,COMPLETED,BoTorch,0.264511510078202394247171014285,548,50,True
318,318_0,COMPLETED,BoTorch,0.264511510078202394247171014285,340,163,True
319,311_0,COMPLETED,BoTorch,0.264511510078202394247171014285,547,50,True
320,320_0,COMPLETED,BoTorch,0.264511510078202394247171014285,344,164,True
321,321_0,COMPLETED,BoTorch,0.264511510078202394247171014285,137,72,True
322,322_0,COMPLETED,BoTorch,0.295076550280867988540478563664,461,119,False
323,323_0,COMPLETED,BoTorch,0.264511510078202394247171014285,730,169,True
324,324_0,COMPLETED,BoTorch,0.298656239673972923043265836895,217,88,False
325,321_0,COMPLETED,BoTorch,0.264511510078202394247171014285,137,72,True
326,326_0,COMPLETED,BoTorch,0.264511510078202394247171014285,778,184,True
327,327_0,COMPLETED,BoTorch,0.264511510078202394247171014285,516,42,True
328,328_0,COMPLETED,BoTorch,0.264511510078202394247171014285,1000,223,True
329,329_0,COMPLETED,BoTorch,0.264511510078202394247171014285,259,152,True
330,330_0,COMPLETED,BoTorch,0.264511510078202394247171014285,774,184,True
331,331_0,COMPLETED,BoTorch,0.264511510078202394247171014285,518,42,True
332,332_0,COMPLETED,BoTorch,0.264511510078202394247171014285,517,42,True
333,333_0,COMPLETED,BoTorch,0.264511510078202394247171014285,773,184,True
334,329_0,COMPLETED,BoTorch,0.264511510078202394247171014285,259,152,True
335,335_0,COMPLETED,BoTorch,0.264511510078202394247171014285,260,152,True
336,336_0,COMPLETED,BoTorch,0.264511510078202394247171014285,776,185,True
337,333_0,COMPLETED,BoTorch,0.264511510078202394247171014285,773,184,True
338,330_0,COMPLETED,BoTorch,0.264511510078202394247171014285,774,184,True
339,329_0,COMPLETED,BoTorch,0.264511510078202394247171014285,259,152,True
340,331_0,COMPLETED,BoTorch,0.264511510078202394247171014285,518,42,True
341,329_0,COMPLETED,BoTorch,0.264511510078202394247171014285,259,152,True
342,332_0,COMPLETED,BoTorch,0.264511510078202394247171014285,517,42,True
343,343_0,COMPLETED,BoTorch,0.264511510078202394247171014285,596,151,True
344,344_0,COMPLETED,BoTorch,0.264511510078202394247171014285,561,199,True
345,345_0,COMPLETED,BoTorch,0.264511510078202394247171014285,630,109,True
346,346_0,RUNNING,BoTorch,,584,184,True
347,347_0,COMPLETED,BoTorch,0.264511510078202394247171014285,620,122,True
348,348_0,COMPLETED,BoTorch,0.264511510078202394247171014285,583,191,True
349,349_0,COMPLETED,BoTorch,0.264511510078202394247171014285,561,148,True
350,350_0,COMPLETED,BoTorch,0.264511510078202394247171014285,539,197,True
351,351_0,COMPLETED,BoTorch,0.264511510078202394247171014285,512,164,True
352,352_0,COMPLETED,BoTorch,0.264511510078202394247171014285,531,195,True
353,353_0,COMPLETED,BoTorch,0.264511510078202394247171014285,607,187,True
354,354_0,COMPLETED,BoTorch,0.264511510078202394247171014285,565,194,True
355,355_0,COMPLETED,BoTorch,0.264511510078202394247171014285,603,195,True
356,356_0,COMPLETED,BoTorch,0.264511510078202394247171014285,619,126,True
357,357_0,COMPLETED,BoTorch,0.264511510078202394247171014285,631,125,True
358,358_0,COMPLETED,BoTorch,0.264511510078202394247171014285,592,181,True
359,359_0,COMPLETED,BoTorch,0.264511510078202394247171014285,699,92,True
360,360_0,COMPLETED,BoTorch,0.264511510078202394247171014285,610,107,True
361,361_0,COMPLETED,BoTorch,0.264511510078202394247171014285,782,185,True
362,362_0,COMPLETED,BoTorch,0.264511510078202394247171014285,100,201,True
363,329_0,COMPLETED,BoTorch,0.264511510078202394247171014285,259,152,True
364,364_0,COMPLETED,BoTorch,0.308183720674083061474846090277,241,193,False
365,329_0,COMPLETED,BoTorch,0.264511510078202394247171014285,259,152,True
366,366_0,COMPLETED,BoTorch,0.264511510078202394247171014285,261,152,True
367,367_0,COMPLETED,BoTorch,0.264511510078202394247171014285,781,185,True
368,329_0,COMPLETED,BoTorch,0.264511510078202394247171014285,259,152,True
369,367_0,COMPLETED,BoTorch,0.264511510078202394247171014285,781,185,True
370,370_0,COMPLETED,BoTorch,0.300418548298270748908578298142,221,242,False
371,371_0,COMPLETED,BoTorch,0.264511510078202394247171014285,133,66,True
372,335_0,COMPLETED,BoTorch,0.264511510078202394247171014285,260,152,True
373,331_0,COMPLETED,BoTorch,0.264511510078202394247171014285,518,42,True
374,360_0,COMPLETED,BoTorch,0.264511510078202394247171014285,610,107,True
375,375_0,COMPLETED,BoTorch,0.264511510078202394247171014285,780,185,True
376,376_0,COMPLETED,BoTorch,0.264511510078202394247171014285,265,221,True
377,377_0,COMPLETED,BoTorch,0.295847560303998280417658861552,100,185,False
378,378_0,COMPLETED,BoTorch,0.264511510078202394247171014285,653,226,True
379,379_0,COMPLETED,BoTorch,0.293038880934023526769749423693,446,246,False
380,380_0,COMPLETED,BoTorch,0.296838858905165814405791024910,278,85,False
381,381_0,COMPLETED,BoTorch,0.264511510078202394247171014285,304,243,True
382,377_0,COMPLETED,BoTorch,0.295847560303998280417658861552,100,185,False
383,383_0,COMPLETED,BoTorch,0.308018504240555102136056575546,318,186,False
384,384_0,COMPLETED,BoTorch,0.301630135477475525007662326971,343,172,False
385,385_0,COMPLETED,BoTorch,0.298656239673972923043265836895,555,224,False
386,386_0,COMPLETED,BoTorch,0.264511510078202394247171014285,172,217,True
387,377_0,COMPLETED,BoTorch,0.295847560303998280417658861552,100,185,False
388,377_0,COMPLETED,BoTorch,0.295847560303998280417658861552,100,185,False
389,389_0,COMPLETED,BoTorch,0.292708448066967719114472856745,113,136,False
390,377_0,COMPLETED,BoTorch,0.295847560303998280417658861552,100,185,False
391,391_0,COMPLETED,BoTorch,0.290505562286595409027256664558,544,121,False
392,392_0,COMPLETED,BoTorch,0.264511510078202394247171014285,352,57,True
393,393_0,COMPLETED,BoTorch,0.264511510078202394247171014285,153,196,True
394,394_0,COMPLETED,BoTorch,0.264511510078202394247171014285,888,189,True
395,395_0,COMPLETED,BoTorch,0.294085251679700454552346400305,630,76,False
396,396_0,COMPLETED,BoTorch,0.297169291772221622061067591858,737,250,False
397,397_0,COMPLETED,BoTorch,0.303998237691375683411365571374,663,88,False
398,398_0,COMPLETED,BoTorch,0.264511510078202394247171014285,886,189,True
399,399_0,COMPLETED,BoTorch,0.297554796783786712488506509544,605,67,False
400,400_0,COMPLETED,BoTorch,0.264511510078202394247171014285,352,56,True
401,401_0,COMPLETED,BoTorch,0.264511510078202394247171014285,888,188,True
402,402_0,COMPLETED,BoTorch,0.297499724639277429716344158805,759,210,False
403,403_0,COMPLETED,BoTorch,0.264511510078202394247171014285,756,250,True
404,404_0,COMPLETED,BoTorch,0.264511510078202394247171014285,285,144,True
405,405_0,COMPLETED,BoTorch,0.287807027205639442968276853207,580,25,False
406,406_0,COMPLETED,BoTorch,0.264511510078202394247171014285,285,143,True
407,407_0,COMPLETED,BoTorch,0.304604031280978126972058817046,682,94,False
408,408_0,COMPLETED,BoTorch,0.264511510078202394247171014285,528,250,True
409,409_0,COMPLETED,BoTorch,0.264511510078202394247171014285,769,111,True
410,410_0,COMPLETED,BoTorch,0.264511510078202394247171014285,768,112,True
411,411_0,COMPLETED,BoTorch,0.264511510078202394247171014285,291,151,True
412,412_0,COMPLETED,BoTorch,0.264511510078202394247171014285,632,25,True
413,413_0,COMPLETED,BoTorch,0.264511510078202394247171014285,338,50,True
414,409_0,COMPLETED,BoTorch,0.264511510078202394247171014285,769,111,True
415,409_0,COMPLETED,BoTorch,0.264511510078202394247171014285,769,111,True
416,416_0,COMPLETED,BoTorch,0.264511510078202394247171014285,770,112,True
417,417_0,COMPLETED,BoTorch,0.264511510078202394247171014285,142,63,True
418,418_0,COMPLETED,BoTorch,0.264511510078202394247171014285,339,50,True
419,419_0,COMPLETED,BoTorch,0.303888093402357117867040869896,335,195,False
420,420_0,COMPLETED,BoTorch,0.264511510078202394247171014285,291,152,True
421,411_0,COMPLETED,BoTorch,0.264511510078202394247171014285,291,151,True
422,422_0,COMPLETED,BoTorch,0.264511510078202394247171014285,291,153,True
423,423_0,COMPLETED,BoTorch,0.264511510078202394247171014285,290,151,True
424,424_0,COMPLETED,BoTorch,0.264511510078202394247171014285,942,204,True
425,425_0,COMPLETED,BoTorch,0.264511510078202394247171014285,652,197,True
426,426_0,COMPLETED,BoTorch,0.264511510078202394247171014285,942,205,True
427,427_0,COMPLETED,BoTorch,0.264511510078202394247171014285,357,48,True
428,428_0,COMPLETED,BoTorch,0.264511510078202394247171014285,703,84,True
429,425_0,COMPLETED,BoTorch,0.264511510078202394247171014285,652,197,True
430,425_0,COMPLETED,BoTorch,0.264511510078202394247171014285,652,197,True
431,424_0,COMPLETED,BoTorch,0.264511510078202394247171014285,942,204,True
432,424_0,COMPLETED,BoTorch,0.264511510078202394247171014285,942,204,True
433,427_0,COMPLETED,BoTorch,0.264511510078202394247171014285,357,48,True
434,424_0,COMPLETED,BoTorch,0.264511510078202394247171014285,942,204,True
435,435_0,COMPLETED,BoTorch,0.264511510078202394247171014285,356,48,True
436,436_0,COMPLETED,BoTorch,0.264511510078202394247171014285,810,137,True
437,437_0,COMPLETED,BoTorch,0.264511510078202394247171014285,705,84,True
438,438_0,COMPLETED,BoTorch,0.293369313801079445447328453156,810,137,False
439,439_0,COMPLETED,BoTorch,0.264511510078202394247171014285,406,77,True
440,440_0,COMPLETED,BoTorch,0.264511510078202394247171014285,942,203,True
441,441_0,COMPLETED,BoTorch,0.264511510078202394247171014285,270,25,True
442,442_0,COMPLETED,BoTorch,0.264511510078202394247171014285,902,120,True
443,443_0,COMPLETED,BoTorch,0.264511510078202394247171014285,866,168,True
444,444_0,COMPLETED,BoTorch,0.264511510078202394247171014285,312,179,True
445,445_0,COMPLETED,BoTorch,0.264511510078202394247171014285,634,41,True
446,446_0,COMPLETED,BoTorch,0.264511510078202394247171014285,182,226,True
447,447_0,COMPLETED,BoTorch,0.264511510078202394247171014285,319,184,True
448,448_0,COMPLETED,BoTorch,0.264511510078202394247171014285,270,124,True
449,449_0,COMPLETED,BoTorch,0.264511510078202394247171014285,662,38,True
450,450_0,COMPLETED,BoTorch,0.264511510078202394247171014285,683,147,True
451,451_0,COMPLETED,BoTorch,0.264511510078202394247171014285,820,148,True
452,452_0,COMPLETED,BoTorch,0.264511510078202394247171014285,180,227,True
453,453_0,COMPLETED,BoTorch,0.264511510078202394247171014285,161,92,True
454,454_0,COMPLETED,BoTorch,0.264511510078202394247171014285,905,127,True
455,455_0,COMPLETED,BoTorch,0.264511510078202394247171014285,821,162,True
456,456_0,COMPLETED,BoTorch,0.264511510078202394247171014285,184,225,True
457,457_0,COMPLETED,BoTorch,0.264511510078202394247171014285,922,222,True
458,458_0,COMPLETED,BoTorch,0.264511510078202394247171014285,273,60,True
459,459_0,COMPLETED,BoTorch,0.264511510078202394247171014285,192,96,True
460,460_0,COMPLETED,BoTorch,0.264511510078202394247171014285,924,101,True
461,461_0,COMPLETED,BoTorch,0.264511510078202394247171014285,271,168,True
462,462_0,COMPLETED,BoTorch,0.264511510078202394247171014285,640,53,True
463,463_0,COMPLETED,BoTorch,0.264511510078202394247171014285,197,95,True
464,464_0,COMPLETED,BoTorch,0.264511510078202394247171014285,922,98,True
465,465_0,COMPLETED,BoTorch,0.264511510078202394247171014285,378,123,True
466,466_0,COMPLETED,BoTorch,0.264511510078202394247171014285,695,199,True
467,467_0,COMPLETED,BoTorch,0.264511510078202394247171014285,840,72,True
468,468_0,COMPLETED,BoTorch,0.264511510078202394247171014285,398,45,True
469,469_0,COMPLETED,BoTorch,0.264511510078202394247171014285,898,192,True
470,470_0,COMPLETED,BoTorch,0.264511510078202394247171014285,693,199,True
471,471_0,COMPLETED,BoTorch,0.264511510078202394247171014285,399,46,True
472,472_0,COMPLETED,BoTorch,0.264511510078202394247171014285,274,141,True
473,469_0,COMPLETED,BoTorch,0.264511510078202394247171014285,898,192,True
474,474_0,COMPLETED,BoTorch,0.264511510078202394247171014285,691,199,True
475,475_0,COMPLETED,BoTorch,0.264511510078202394247171014285,896,193,True
476,476_0,COMPLETED,BoTorch,0.264511510078202394247171014285,841,70,True
477,477_0,COMPLETED,BoTorch,0.264511510078202394247171014285,694,199,True
478,478_0,COMPLETED,BoTorch,0.264511510078202394247171014285,841,72,True
479,479_0,COMPLETED,BoTorch,0.264511510078202394247171014285,143,202,True
480,477_0,COMPLETED,BoTorch,0.264511510078202394247171014285,694,199,True
481,467_0,COMPLETED,BoTorch,0.264511510078202394247171014285,840,72,True
482,482_0,COMPLETED,BoTorch,0.264511510078202394247171014285,217,219,True
483,483_0,COMPLETED,BoTorch,0.264511510078202394247171014285,700,147,True
484,484_0,COMPLETED,BoTorch,0.264511510078202394247171014285,342,133,True
485,485_0,COMPLETED,BoTorch,0.264511510078202394247171014285,705,146,True
486,486_0,COMPLETED,BoTorch,0.264511510078202394247171014285,732,152,True
487,487_0,COMPLETED,BoTorch,0.264511510078202394247171014285,721,148,True
488,488_0,COMPLETED,BoTorch,0.264511510078202394247171014285,824,139,True
489,489_0,COMPLETED,BoTorch,0.264511510078202394247171014285,336,143,True
490,490_0,COMPLETED,BoTorch,0.264511510078202394247171014285,810,151,True
491,491_0,COMPLETED,BoTorch,0.264511510078202394247171014285,849,130,True
492,492_0,COMPLETED,BoTorch,0.264511510078202394247171014285,574,226,True
493,493_0,COMPLETED,BoTorch,0.264511510078202394247171014285,744,101,True
494,494_0,COMPLETED,BoTorch,0.264511510078202394247171014285,803,150,True
495,495_0,COMPLETED,BoTorch,0.264511510078202394247171014285,718,152,True
496,496_0,COMPLETED,BoTorch,0.264511510078202394247171014285,796,154,True
497,497_0,COMPLETED,BoTorch,0.264511510078202394247171014285,335,141,True
498,498_0,COMPLETED,BoTorch,0.264511510078202394247171014285,603,223,True
499,499_0,COMPLETED,BoTorch,0.264511510078202394247171014285,191,102,True
500,500_0,COMPLETED,BoTorch,0.264511510078202394247171014285,346,150,True
501,501_0,RUNNING,BoTorch,,783,144,True
502,502_0,RUNNING,BoTorch,,559,221,True
503,503_0,RUNNING,BoTorch,,839,121,True
504,504_0,RUNNING,BoTorch,,782,140,True
505,505_0,RUNNING,BoTorch,,740,130,True
506,506_0,RUNNING,BoTorch,,565,221,True
507,507_0,RUNNING,BoTorch,,564,222,True
508,508_0,RUNNING,BoTorch,,836,121,True
509,509_0,RUNNING,BoTorch,,201,100,True
510,510_0,RUNNING,BoTorch,,356,145,True
511,511_0,RUNNING,BoTorch,,776,144,True
512,512_0,RUNNING,BoTorch,,418,132,True
513,513_0,RUNNING,BoTorch,,200,100,True
514,514_0,RUNNING,BoTorch,,291,189,True
</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> 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
1727408328,473.34765625,49.7
1727408328,473.3828125,51.6
1727408328,473.4296875,49.7
1727408328,473.4296875,38.2
1727408328,473.4296875,54.2
1727408328,473.4296875,49.9
1727408328,473.4296875,37.5
1727408373,478.1328125,49.8
1727408373,478.1328125,38.2
1727408373,478.1328125,49.8
1727408373,478.1328125,57.8
1727408374,478.1328125,49.7
1727408374,478.1328125,55.3
1727408374,478.1328125,46.8
1727408374,478.1328125,55.6
1727408376,478.1328125,49.7
1727408376,478.1328125,50.0
1727408376,478.1328125,49.6
1727408376,478.1328125,53.1
1727408377,478.1328125,49.7
1727408377,478.1328125,54.2
1727408377,478.1328125,47.7
1727408377,478.1328125,55.8
1727408379,478.1328125,49.7
1727408379,478.1328125,54.3
1727408379,478.1328125,48.1
1727408379,478.1328125,55.6
1727408380,478.1328125,49.7
1727408380,478.1328125,55.3
1727408380,478.1328125,48.1
1727408380,478.1328125,56.5
1727408381,478.1328125,49.7
1727408381,478.1328125,56.5
1727408381,478.1328125,47.2
1727408381,478.1328125,56.5
1727408383,478.1328125,49.7
1727408383,478.1328125,55.3
1727408383,478.1328125,47.2
1727408383,478.1328125,51.3
1727408384,478.1328125,49.7
1727408384,478.1328125,54.3
1727408384,478.1328125,47.7
1727408384,478.1328125,48.6
1727408385,478.1328125,49.7
1727408385,478.1328125,54.3
1727408385,478.1328125,48.1
1727408385,478.1328125,57.8
1727408387,478.1328125,49.7
1727408387,478.1328125,56.3
1727408387,478.1328125,48.1
1727408387,478.1328125,55.6
1727408389,478.1328125,49.7
1727408389,478.1328125,34.3
1727408389,478.1328125,52.5
1727408389,478.1328125,52.0
1727408390,478.1328125,49.7
1727408390,478.1328125,54.3
1727408390,478.1328125,47.2
1727408390,478.1328125,56.5
1727408391,478.1328125,49.7
1727408391,478.1328125,51.2
1727408391,478.1328125,47.4
1727408391,478.1328125,55.6
1727408393,478.1328125,49.7
1727408393,478.1328125,37.1
1727408393,478.1328125,53.8
1727408393,478.1328125,40.6
1727408394,478.1328125,49.8
1727408394,478.1328125,40.5
1727408394,478.1328125,52.6
1727408394,478.1328125,50.0
1727408395,478.13671875,49.7
1727408395,478.13671875,55.3
1727408395,478.13671875,47.6
1727408395,478.13671875,56.5
1727408397,478.13671875,49.7
1727408397,478.13671875,39.4
1727408397,478.13671875,52.5
1727408397,478.13671875,40.0
1727408398,478.13671875,49.8
1727408398,478.13671875,35.3
1727408398,478.13671875,54.2
1727408398,478.13671875,40.6
1727408400,478.13671875,49.8
1727408400,478.13671875,38.2
1727408400,478.13671875,53.3
1727408400,478.13671875,38.7
1727408401,478.14453125,49.8
1727408401,478.14453125,53.2
1727408401,478.14453125,49.1
1727408401,478.14453125,37.5
1727408403,478.14453125,49.8
1727408403,478.14453125,37.5
1727408403,478.14453125,53.3
1727408403,478.14453125,39.4
1727408404,478.14453125,49.8
1727408404,478.14453125,53.1
1727408404,478.14453125,49.1
1727408404,478.14453125,39.4
1727408406,478.14453125,49.7
1727408406,478.14453125,54.2
1727408406,478.14453125,48.1
1727408406,478.14453125,55.6
1727408407,478.14453125,49.7
1727408407,478.14453125,55.6
1727408407,478.14453125,48.6
1727408407,478.14453125,56.8
1727408408,478.14453125,49.7
1727408408,478.14453125,54.3
1727408408,478.14453125,49.1
1727408408,478.14453125,56.5
1727408410,478.14453125,49.7
1727408410,478.14453125,40.0
1727408410,478.14453125,52.5
1727408410,478.14453125,40.6
1727408411,478.14453125,49.7
1727408411,478.14453125,38.2
1727408411,478.14453125,54.2
1727408411,478.14453125,39.4
1727408413,478.14453125,49.8
1727408413,478.14453125,36.4
1727408413,478.14453125,52.1
1727408413,478.14453125,42.4
1727408414,478.14453125,49.8
1727408414,478.14453125,53.2
1727408414,478.14453125,52.0
1727408414,478.14453125,41.2
1727408415,478.14453125,49.7
1727408415,478.14453125,54.3
1727408415,478.14453125,48.8
1727408415,478.14453125,42.4
1727408417,478.14453125,49.7
1727408417,478.14453125,54.2
1727408417,478.14453125,50.0
1727408417,478.14453125,49.1
1727408418,478.14453125,49.7
1727408418,478.14453125,53.1
1727408418,478.14453125,48.6
1727408418,478.14453125,56.5
1727408419,478.14453125,49.7
1727408419,478.14453125,37.5
1727408419,478.14453125,54.2
1727408419,478.14453125,40.6
1727408421,478.14453125,49.7
1727408421,478.14453125,54.3
1727408421,478.14453125,48.1
1727408421,478.14453125,55.3
1727408422,478.14453125,49.8
1727408422,478.14453125,36.4
1727408422,478.14453125,53.7
1727408422,478.14453125,39.4
1727408424,478.14453125,49.7
1727408424,478.14453125,55.3
1727408424,478.14453125,48.1
1727408424,478.14453125,55.6
1727408425,478.14453125,49.7
1727408425,478.14453125,55.6
1727408425,478.14453125,47.2
1727408425,478.14453125,57.8
1727408426,478.14453125,49.7
1727408426,478.14453125,55.6
1727408426,478.14453125,51.7
1727408426,478.14453125,47.2
1727408428,478.14453125,49.8
1727408428,478.14453125,38.2
1727408428,478.14453125,51.8
1727408428,478.14453125,51.3
1727408429,478.14453125,49.7
1727408429,478.14453125,54.3
1727408429,478.14453125,51.2
1727408429,478.14453125,39.4
1727408430,478.14453125,49.8
1727408430,478.14453125,36.4
1727408430,478.14453125,54.6
1727408430,478.14453125,39.4
1727408432,478.14453125,49.8
1727408432,478.14453125,56.5
1727408432,478.14453125,48.6
1727408432,478.14453125,56.8
1727408433,478.14453125,49.8
1727408433,478.14453125,56.2
1727408433,478.14453125,47.2
1727408433,478.14453125,57.8
1727408435,478.14453125,49.7
1727408435,478.14453125,54.3
1727408435,478.14453125,48.6
1727408435,478.14453125,54.2
1727408436,478.14453125,49.7
1727408436,478.14453125,54.3
1727408436,478.14453125,48.6
1727408436,478.14453125,57.8
1727408437,478.14453125,49.7
1727408437,478.14453125,40.0
1727408437,478.14453125,54.7
1727408437,478.14453125,40.6
1727408439,478.14453125,49.8
1727408439,478.14453125,37.1
1727408439,478.14453125,53.3
1727408439,478.14453125,38.7
1727408440,478.1484375,49.8
1727408440,478.1484375,38.2
1727408440,478.1484375,53.3
1727408440,478.1484375,40.6
1727408442,478.1484375,49.7
1727408442,478.1484375,55.3
1727408442,478.1484375,46.7
1727408442,478.1484375,56.5
1727408443,478.1484375,49.7
1727408443,478.1484375,54.2
1727408443,478.1484375,51.4
1727408443,478.1484375,50.0
1727408444,478.1484375,49.8
1727408444,478.1484375,53.1
1727408444,478.1484375,46.4
1727408444,478.1484375,55.3
1727408446,478.1484375,49.7
1727408446,478.1484375,53.2
1727408446,478.1484375,48.1
1727408446,478.1484375,56.5
1727408447,478.1484375,49.7
1727408447,478.1484375,53.2
1727408447,478.1484375,48.1
1727408447,478.1484375,56.2
1727408449,478.1484375,49.7
1727408449,478.1484375,52.3
1727408449,478.1484375,48.6
1727408449,478.1484375,51.3
1727408450,478.1484375,49.8
1727408450,478.1484375,35.3
1727408450,478.1484375,54.2
1727408450,478.1484375,38.7
1727408451,478.1484375,49.8
1727408451,478.1484375,35.3
1727408451,478.1484375,53.8
1727408451,478.1484375,38.2
1727408453,478.1484375,49.8
1727408453,478.1484375,48.8
1727408453,478.1484375,50.9
1727408453,478.1484375,40.6
1727408454,478.1484375,49.8
1727408454,478.1484375,54.3
1727408454,478.1484375,49.0
1727408454,478.1484375,53.1
1727408455,478.1484375,49.7
1727408455,478.1484375,53.2
1727408455,478.1484375,48.8
1727408455,478.1484375,47.7
1727408457,478.1484375,49.7
1727408457,478.1484375,38.2
1727408457,478.1484375,52.8
1727408457,478.1484375,37.9
1727408458,478.1484375,49.7
1727408458,478.1484375,51.2
1727408458,478.1484375,50.9
1727408458,478.1484375,40.6
1727408460,478.1484375,49.7
1727408460,478.1484375,53.2
1727408460,478.1484375,48.6
1727408460,478.1484375,55.6
1727408461,478.1484375,49.8
1727408461,478.1484375,56.2
1727408461,478.1484375,46.3
1727408461,478.1484375,55.6
1727408462,478.1484375,49.8
1727408462,478.1484375,54.2
1727408462,478.1484375,51.2
1727408462,478.1484375,42.4
1727408464,478.1484375,49.7
1727408464,478.1484375,54.3
1727408464,478.1484375,51.6
1727408464,478.1484375,44.1
1727408465,478.16015625,49.8
1727408465,478.16015625,54.3
1727408465,478.16015625,46.3
1727408465,478.16015625,56.5
1727408467,478.16015625,49.7
1727408467,478.16015625,56.3
1727408467,478.16015625,47.2
1727408467,478.16015625,54.3
1727408468,478.16015625,49.7
1727408468,478.16015625,41.2
1727408468,478.16015625,51.6
1727408468,478.16015625,54.2
1727408469,478.16015625,49.7
1727408469,478.16015625,38.2
1727408469,478.16015625,52.5
1727408469,478.16015625,44.1
1727408471,478.16015625,49.7
1727408471,478.16015625,55.3
1727408471,478.16015625,49.0
1727408471,478.16015625,37.5
1727408472,478.16015625,49.7
1727408472,478.16015625,53.2
1727408472,478.16015625,50.0
1727408472,478.16015625,56.8
1727408473,478.16015625,49.7
1727408473,478.16015625,55.6
1727408473,478.16015625,48.6
1727408473,478.16015625,38.7
1727408475,478.16015625,49.7
1727408475,478.16015625,53.2
1727408475,478.16015625,52.5
1727408475,478.16015625,38.9
1727408476,478.16015625,49.7
1727408476,478.16015625,54.3
1727408476,478.16015625,49.1
1727408476,478.16015625,54.8
1727408478,478.16015625,49.7
1727408478,478.16015625,54.2
1727408478,478.16015625,52.0
1727408478,478.16015625,36.4
1727408479,478.16015625,49.7
1727408479,478.16015625,55.6
1727408479,478.16015625,48.6
1727408479,478.16015625,56.5
1727408480,478.16015625,49.7
1727408480,478.16015625,37.5
1727408480,478.16015625,53.3
1727408480,478.16015625,40.6
1727408482,478.16015625,49.7
1727408482,478.16015625,38.9
1727408482,478.16015625,52.9
1727408482,478.16015625,38.7
1727408483,478.16015625,49.8
1727408483,478.16015625,36.1
1727408483,478.16015625,53.8
1727408483,478.16015625,38.2
1727408484,478.16015625,49.8
1727408484,478.16015625,38.2
1727408484,478.16015625,53.3
1727408484,478.16015625,37.5
1727408486,478.16015625,49.7
1727408486,478.16015625,54.2
1727408486,478.16015625,48.6
1727408486,478.16015625,55.6
1727408487,478.16015625,49.7
1727408487,478.16015625,53.2
1727408487,478.16015625,49.5
1727408487,478.16015625,37.5
1727408489,478.16015625,49.7
1727408489,478.16015625,54.0
1727408489,478.16015625,48.1
1727408489,478.16015625,53.2
1727408490,478.16015625,49.7
1727408490,478.16015625,54.3
1727408490,478.16015625,48.1
1727408490,478.16015625,40.6
1727408491,478.16015625,49.8
1727408491,478.16015625,56.3
1727408491,478.16015625,49.2
1727408491,478.16015625,39.4
1727408493,478.16015625,49.7
1727408493,478.16015625,54.3
1727408493,478.16015625,52.1
1727408493,478.16015625,39.4
1727408494,478.16015625,49.8
1727408494,478.16015625,48.8
1727408494,478.16015625,53.3
1727408494,478.16015625,37.5
1727408496,478.16015625,49.7
1727408496,478.16015625,46.2
1727408496,478.16015625,50.4
1727408496,478.16015625,42.9
1727408497,478.171875,49.8
1727408497,478.171875,54.3
1727408497,478.171875,48.1
1727408497,478.171875,56.5
1727408498,478.171875,49.7
1727408498,478.171875,36.4
1727408498,478.171875,49.5
1727408498,478.171875,56.8
1727408500,478.171875,49.7
1727408500,478.171875,43.2
1727408500,478.171875,52.1
1727408500,478.171875,41.2
1727408501,478.171875,49.7
1727408501,478.171875,43.6
1727408501,478.171875,53.2
1727408501,478.171875,36.4
1727408503,478.171875,49.7
1727408503,478.171875,55.3
1727408503,478.171875,47.7
1727408503,478.171875,54.5
1727408504,478.171875,49.8
1727408504,478.171875,35.3
1727408504,478.171875,53.8
1727408504,478.171875,41.2
1727408505,478.171875,49.8
1727408505,478.171875,38.2
1727408505,478.171875,53.4
1727408505,478.171875,40.0
1727408507,478.171875,49.8
1727408507,478.171875,52.3
1727408507,478.171875,49.5
1727408507,478.171875,37.5
1727408508,478.171875,49.8
1727408508,478.171875,36.4
1727408508,478.171875,52.6
1727408508,478.171875,47.4
1727408510,478.171875,49.7
1727408510,478.171875,36.4
1727408510,478.171875,52.5
1727408510,478.171875,42.4
1727408511,478.171875,49.7
1727408511,478.171875,54.3
1727408511,478.171875,48.1
1727408511,478.171875,55.6
1727408512,478.171875,49.7
1727408512,478.171875,37.1
1727408512,478.171875,52.5
1727408512,478.171875,40.6
1727408514,478.171875,49.8
1727408514,478.171875,54.3
1727408514,478.171875,48.1
1727408514,478.171875,50.0
1727408515,478.171875,49.7
1727408515,478.171875,56.3
1727408515,478.171875,47.7
1727408515,478.171875,56.8
1727408516,478.171875,49.7
1727408516,478.171875,37.1
1727408516,478.171875,53.4
1727408516,478.171875,38.7
1727408518,478.171875,49.8
1727408518,478.171875,38.9
1727408518,478.171875,53.4
1727408518,478.171875,37.5
1727408519,478.171875,49.8
1727408519,478.171875,36.4
1727408519,478.171875,52.4
1727408519,478.171875,50.0
1727408521,478.171875,49.8
1727408521,478.171875,37.1
1727408521,478.171875,51.2
1727408521,478.171875,57.4
1727408522,478.171875,49.8
1727408522,478.171875,54.2
1727408522,478.171875,47.6
1727408522,478.171875,55.3
1727408523,478.171875,49.7
1727408523,478.171875,52.0
1727408523,478.171875,47.6
1727408523,478.171875,58.7
1727408525,478.171875,49.7
1727408525,478.171875,53.1
1727408525,478.171875,49.5
1727408525,478.171875,53.7
1727408526,478.171875,49.7
1727408526,478.171875,37.1
1727408526,478.171875,54.2
1727408526,478.171875,40.6
1727408528,478.171875,49.8
1727408528,478.171875,54.3
1727408528,478.171875,46.3
1727408528,478.171875,58.3
1727408529,478.171875,49.7
1727408529,478.171875,54.3
1727408529,478.171875,49.5
1727408529,478.171875,54.3
1727408530,478.171875,49.7
1727408530,478.171875,41.7
1727408530,478.171875,52.1
1727408530,478.171875,47.1
1727408532,478.171875,49.7
1727408532,478.171875,55.3
1727408532,478.171875,49.1
1727408532,478.171875,54.3
1727408533,478.171875,49.7
1727408533,478.171875,40.0
1727408533,478.171875,51.2
1727408533,478.171875,54.3
1727408535,478.171875,49.7
1727408535,478.171875,48.8
1727408535,478.171875,50.0
1727408535,478.171875,55.3
1727408536,478.171875,49.7
1727408536,478.171875,53.2
1727408536,478.171875,48.6
1727408536,478.171875,54.2
1727408537,478.171875,49.7
1727408537,478.171875,54.2
1727408537,478.171875,48.1
1727408537,478.171875,39.4
1727408539,478.171875,49.8
1727408539,478.171875,53.2
1727408539,478.171875,48.1
1727408539,478.171875,40.6
1727408540,478.171875,49.7
1727408540,478.171875,55.1
1727408540,478.171875,48.1
1727408540,478.171875,57.8
1727408541,478.171875,49.7
1727408541,478.171875,54.3
1727408541,478.171875,47.2
1727408541,478.171875,58.7
1727408543,478.171875,49.7
1727408543,478.171875,52.1
1727408543,478.171875,51.7
1727408543,478.171875,42.9
1727408544,478.171875,49.8
1727408544,478.171875,52.1
1727408544,478.171875,48.6
1727408544,478.171875,55.8
1727408546,478.171875,49.7
1727408546,478.171875,56.3
1727408546,478.171875,47.2
1727408546,478.171875,55.8
1727408547,478.171875,49.7
1727408547,478.171875,38.2
1727408547,478.171875,49.5
1727408547,478.171875,54.8
1727408548,478.171875,49.7
1727408548,478.171875,36.4
1727408548,478.171875,52.5
1727408548,478.171875,39.4
1727408550,478.171875,49.8
1727408550,478.171875,51.1
1727408550,478.171875,49.5
1727408550,478.171875,46.3
1727408551,478.171875,49.8
1727408551,478.171875,53.2
1727408551,478.171875,48.6
1727408551,478.171875,55.6
1727408552,478.171875,49.7
1727408552,478.171875,38.2
1727408553,478.171875,49.5
1727408553,478.171875,56.8
1727408554,478.171875,49.7
1727408554,478.171875,53.1
1727408554,478.171875,49.5
1727408554,478.171875,53.5
1727408555,478.171875,49.7
1727408555,478.171875,42.9
1727408555,478.171875,53.0
1727408555,478.171875,39.4
1727408557,478.171875,49.7
1727408557,478.171875,55.6
1727408557,478.171875,46.8
1727408557,478.171875,56.8
1727408558,478.171875,49.7
1727408558,478.171875,55.3
1727408558,478.171875,47.2
1727408558,478.171875,56.5
1727408559,478.17578125,49.8
1727408559,478.17578125,54.2
1727408559,478.17578125,48.1
1727408559,478.17578125,55.6
1727408561,478.17578125,49.7
1727408561,478.17578125,37.1
1727408561,478.17578125,53.8
1727408561,478.17578125,37.5
1727408562,478.17578125,49.7
1727408562,478.17578125,55.3
1727408562,478.17578125,49.6
1727408562,478.17578125,54.3
1727408564,478.17578125,49.7
1727408564,478.17578125,53.2
1727408564,478.17578125,51.7
1727408564,478.17578125,42.4
1727408565,478.17578125,49.7
1727408565,478.17578125,53.2
1727408565,478.17578125,49.0
1727408565,478.17578125,39.4
1727408566,478.17578125,49.8
1727408566,478.17578125,38.2
1727408566,478.17578125,49.0
1727408566,478.17578125,56.8
1727408568,478.17578125,49.7
1727408568,478.17578125,36.4
1727408568,478.17578125,52.8
1727408568,478.17578125,39.4
1727408569,478.17578125,49.7
1727408569,478.17578125,54.2
1727408569,478.17578125,52.0
1727408569,478.17578125,37.5
1727408571,478.17578125,49.8
1727408571,478.17578125,36.4
1727408571,478.17578125,54.2
1727408571,478.17578125,38.2
1727408572,478.17578125,49.7
1727408572,478.17578125,55.3
1727408572,478.17578125,47.4
1727408572,478.17578125,56.8
1727408573,478.17578125,49.7
1727408573,478.17578125,46.2
1727408573,478.17578125,51.3
1727408573,478.17578125,41.2
1727408575,478.17578125,49.8
1727408575,478.17578125,53.2
1727408575,478.17578125,48.1
1727408575,478.17578125,56.5
1727408576,478.17578125,49.7
1727408576,478.17578125,54.3
1727408576,478.17578125,49.2
1727408576,478.17578125,47.2
1727408577,478.17578125,49.7
1727408577,478.17578125,54.2
1727408577,478.17578125,47.2
1727408577,478.17578125,55.6
1727408579,478.17578125,49.7
1727408579,478.17578125,38.2
1727408579,478.17578125,54.2
1727408579,478.17578125,39.4
1727408580,478.17578125,49.8
1727408580,478.17578125,37.1
1727408580,478.17578125,53.8
1727408580,478.17578125,40.6
1727408582,478.17578125,49.8
1727408582,478.17578125,53.2
1727408582,478.17578125,52.5
1727408582,478.17578125,40.6
1727408583,478.17578125,49.7
1727408583,478.17578125,54.3
1727408583,478.17578125,52.8
1727408583,478.17578125,39.4
1727408584,478.17578125,49.8
1727408584,478.17578125,36.4
1727408584,478.17578125,52.1
1727408584,478.17578125,41.9
1727408586,478.17578125,49.7
1727408586,478.17578125,50.0
1727408586,478.17578125,50.0
1727408586,478.17578125,56.5
1727408587,478.17578125,49.7
1727408587,478.17578125,51.0
1727408587,478.17578125,49.1
1727408587,478.17578125,54.3
1727408588,478.17578125,49.7
1727408588,478.17578125,34.3
1727408588,478.17578125,54.6
1727408588,478.17578125,38.7
1727408590,478.17578125,49.7
1727408590,478.17578125,52.0
1727408590,478.17578125,46.7
1727408590,478.17578125,57.8
1727408591,478.17578125,49.8
1727408591,478.17578125,54.3
1727408591,478.17578125,48.6
1727408591,478.17578125,55.6
1727408593,478.17578125,49.8
1727408593,478.17578125,35.3
1727408593,478.17578125,52.9
1727408593,478.17578125,40.6
1727408594,478.17578125,49.8
1727408594,478.17578125,55.3
1727408594,478.17578125,48.1
1727408594,478.17578125,55.6
1727408596,478.17578125,49.7
1727408596,478.17578125,46.2
1727408596,478.17578125,53.1
1727408596,478.17578125,38.7
1727408597,478.17578125,49.7
1727408597,478.17578125,54.3
1727408597,478.17578125,48.6
1727408597,478.17578125,57.8
1727408598,478.17578125,49.7
1727408598,478.17578125,55.6
1727408598,478.17578125,49.0
1727408598,478.17578125,56.2
1727408600,478.17578125,49.7
1727408600,478.17578125,41.2
1727408600,478.17578125,53.4
1727408600,478.17578125,40.6
1727408601,478.17578125,49.7
1727408601,478.17578125,55.3
1727408601,478.17578125,46.8
1727408601,478.17578125,55.6
1727408602,478.17578125,49.8
1727408602,478.17578125,36.4
1727408602,478.17578125,49.0
1727408602,478.17578125,56.5
1727408604,478.17578125,49.8
1727408604,478.17578125,54.3
1727408604,478.17578125,47.6
1727408604,478.17578125,44.1
1727408605,478.17578125,49.7
1727408605,478.17578125,52.0
1727408605,478.17578125,50.4
1727408605,478.17578125,44.1
1727408607,478.17578125,49.7
1727408607,478.17578125,55.6
1727408607,478.17578125,47.6
1727408607,478.17578125,57.8
1727408608,478.17578125,49.7
1727408608,478.17578125,56.5
1727408608,478.17578125,49.5
1727408608,478.17578125,39.4
1727408609,478.17578125,49.8
1727408609,478.17578125,54.3
1727408609,478.17578125,48.6
1727408609,478.17578125,47.6
1727408611,478.17578125,49.8
1727408611,478.17578125,54.3
1727408611,478.17578125,45.9
1727408611,478.17578125,56.5
1727408612,478.17578125,49.7
1727408612,478.17578125,52.0
1727408612,478.17578125,48.7
1727408612,478.17578125,52.4
1727408613,478.17578125,49.8
1727408613,478.17578125,40.0
1727408613,478.17578125,50.0
1727408613,478.17578125,52.5
1727408615,478.17578125,49.7
1727408615,478.17578125,52.1
1727408615,478.17578125,50.0
1727408615,478.17578125,40.6
1727408616,478.17578125,49.8
1727408616,478.17578125,55.6
1727408616,478.17578125,49.0
1727408616,478.17578125,42.4
1727408618,478.17578125,49.7
1727408618,478.17578125,54.3
1727408618,478.17578125,48.1
1727408618,478.17578125,53.2
1727408619,478.17578125,49.7
1727408619,478.17578125,55.6
1727408619,478.17578125,49.5
1727408619,478.17578125,55.6
1727408620,478.17578125,49.7
1727408620,478.17578125,47.5
1727408620,478.17578125,49.6
1727408620,478.17578125,57.4
1727408622,478.17578125,49.7
1727408622,478.17578125,56.5
1727408622,478.17578125,48.6
1727408622,478.17578125,56.8
1727408623,478.17578125,49.8
1727408623,478.17578125,53.1
1727408623,478.17578125,49.0
1727408623,478.17578125,56.5
1727408625,478.17578125,49.7
1727408625,478.17578125,51.2
1727408625,478.17578125,49.0
1727408625,478.17578125,56.2
1727408626,478.17578125,49.7
1727408626,478.17578125,48.1
1727408626,478.17578125,48.6
1727408626,478.17578125,52.0
1727408627,478.17578125,49.7
1727408627,478.17578125,51.0
1727408627,478.17578125,48.5
1727408627,478.17578125,57.4
1727408629,478.17578125,49.7
1727408629,478.17578125,53.2
1727408629,478.17578125,46.4
1727408629,478.17578125,56.8
1727408630,478.17578125,49.7
1727408630,478.17578125,53.2
1727408630,478.17578125,49.1
1727408630,478.17578125,55.6
1727408632,478.17578125,49.7
1727408632,478.17578125,46.2
1727408632,478.17578125,53.3
1727408632,478.17578125,39.4
1727408633,478.17578125,49.7
1727408633,478.17578125,54.3
1727408633,478.17578125,50.0
1727408633,478.17578125,44.4
1727408634,478.17578125,49.8
1727408634,478.17578125,37.1
1727408634,478.17578125,53.8
1727408634,478.17578125,40.5
1727408636,478.17578125,49.8
1727408636,478.17578125,39.4
1727408636,478.17578125,48.1
1727408636,478.17578125,56.5
1727408637,478.17578125,49.7
1727408637,478.17578125,55.3
1727408637,478.17578125,47.2
1727408637,478.17578125,55.6
1727408638,478.17578125,49.7
1727408638,478.17578125,55.3
1727408638,478.17578125,48.1
1727408638,478.17578125,40.6
1727408640,478.17578125,49.8
1727408640,478.17578125,55.6
1727408640,478.17578125,47.2
1727408640,478.17578125,56.8
1727408641,478.17578125,49.7
1727408641,478.17578125,54.2
1727408641,478.17578125,45.9
1727408641,478.17578125,56.5
1727408643,478.17578125,49.8
1727408643,478.17578125,37.5
1727408643,478.17578125,52.4
1727408643,478.17578125,53.1
1727408644,478.17578125,49.7
1727408644,478.17578125,56.3
1727408644,478.17578125,51.6
1727408644,478.17578125,38.7
1727408645,478.17578125,49.7
1727408645,478.17578125,55.3
1727408645,478.17578125,48.1
1727408645,478.17578125,53.2
1727408647,478.17578125,49.7
1727408647,478.17578125,54.3
1727408647,478.17578125,48.2
1727408647,478.17578125,55.6
1727408648,478.17578125,49.7
1727408648,478.17578125,54.3
1727408648,478.17578125,48.5
1727408648,478.17578125,39.4
1727408649,478.17578125,49.7
1727408649,478.17578125,37.5
1727408649,478.17578125,52.7
1727408649,478.17578125,50.0
1727408651,478.17578125,49.7
1727408651,478.17578125,37.5
1727408651,478.17578125,53.8
1727408651,478.17578125,39.4
1727408652,478.17578125,49.8
1727408652,478.17578125,45.9
1727408652,478.17578125,52.5
1727408652,478.17578125,40.6
1727408654,478.17578125,49.8
1727408654,478.17578125,54.3
1727408654,478.17578125,49.1
1727408654,478.17578125,44.4
1727408655,478.17578125,49.8
1727408655,478.17578125,38.2
1727408655,478.17578125,52.9
1727408655,478.17578125,40.6
1727408656,478.17578125,49.8
1727408656,478.17578125,47.5
1727408656,478.17578125,50.9
1727408656,478.17578125,54.3
1727408658,478.17578125,49.7
1727408658,478.17578125,55.3
1727408658,478.17578125,47.7
1727408658,478.17578125,54.3
1727408659,478.21484375,49.7
1727408659,478.21484375,52.0
1727408659,478.21484375,49.0
1727408659,478.21484375,51.3
1727408661,478.21484375,49.8
1727408661,478.21484375,40.0
1727408661,478.21484375,50.9
1727408661,478.21484375,47.5
1727408662,478.21484375,49.8
1727408662,478.21484375,42.1
1727408662,478.21484375,52.1
1727408662,478.21484375,41.2
1727408663,478.21484375,49.7
1727408663,478.21484375,55.1
1727408663,478.21484375,50.8
1727408663,478.21484375,40.0
1727408665,478.21484375,49.8
1727408665,478.21484375,53.2
1727408665,478.21484375,48.1
1727408665,478.21484375,40.6
1727408666,478.21484375,49.8
1727408666,478.21484375,37.1
1727408666,478.21484375,53.3
1727408666,478.21484375,36.4
1727408667,478.21484375,49.8
1727408667,478.21484375,53.2
1727408667,478.21484375,48.6
1727408667,478.21484375,56.5
1727408669,478.21484375,49.7
1727408669,478.21484375,54.2
1727408669,478.21484375,51.6
1727408669,478.21484375,41.2
1727408670,478.21484375,49.7
1727408670,478.21484375,54.3
1727408670,478.21484375,50.4
1727408670,478.21484375,36.4
1727408672,478.21484375,49.8
1727408672,478.21484375,56.5
1727408672,478.21484375,47.7
1727408672,478.21484375,56.8
1727408673,478.21875,49.7
1727408673,478.21875,55.1
1727408673,478.21875,48.6
1727408673,478.21875,55.6
1727408674,478.21875,49.7
1727408674,478.21875,38.2
1727408674,478.21875,52.7
1727408674,478.21875,44.7
1727408676,478.21875,49.7
1727408676,478.21875,38.2
1727408676,478.21875,54.2
1727408676,478.21875,40.6
1727408677,478.21875,49.7
1727408677,478.21875,54.3
1727408677,478.21875,48.6
1727408677,478.21875,58.7
1727408678,478.21875,49.7
1727408679,478.21875,55.6
1727408679,478.21875,48.1
1727408679,478.21875,60.0
1727408680,478.21875,49.7
1727408680,478.21875,37.1
1727408680,478.21875,53.8
1727408680,478.21875,53.1
1727408681,478.21875,49.7
1727408681,478.21875,38.2
1727408681,478.21875,52.0
1727408681,478.21875,38.7
1727408683,478.21875,49.8
1727408683,478.21875,40.0
1727408683,478.21875,53.4
1727408683,478.21875,39.4
1727408684,478.21875,49.8
1727408684,478.21875,55.6
1727408684,478.21875,48.6
1727408684,478.21875,55.6
1727408686,478.21875,49.8
1727408686,478.21875,38.2
1727408686,478.21875,53.3
1727408686,478.21875,35.3
1727408687,478.21875,49.8
1727408687,478.21875,38.2
1727408687,478.21875,53.3
1727408687,478.21875,52.1
1727408688,478.21875,49.7
1727408688,478.21875,38.2
1727408688,478.21875,53.8
1727408688,478.21875,37.5
1727408690,478.21875,49.7
1727408690,478.21875,55.3
1727408690,478.21875,48.1
1727408690,478.21875,56.5
1727408691,478.21875,49.7
1727408691,478.21875,54.2
1727408691,478.21875,46.7
1727408691,478.21875,56.5
1727408692,478.21875,49.7
1727408692,478.21875,54.3
1727408692,478.21875,46.8
1727408692,478.21875,55.6
1727408694,478.21875,49.8
1727408694,478.21875,53.2
1727408694,478.21875,48.6
1727408694,478.21875,52.0
1727408695,478.21875,49.7
1727408695,478.21875,54.3
1727408695,478.21875,47.7
1727408695,478.21875,56.5
1727408697,478.21875,49.7
1727408697,478.21875,38.2
1727408697,478.21875,52.5
1727408697,478.21875,41.2
1727408698,478.21875,49.7
1727408698,478.21875,55.3
1727408698,478.21875,50.8
1727408698,478.21875,44.1
1727408699,478.21875,49.7
1727408699,478.21875,53.2
1727408699,478.21875,49.1
1727408699,478.21875,54.2
1727408701,478.21875,49.8
1727408701,478.21875,54.2
1727408701,478.21875,49.0
1727408701,478.21875,40.6
1727408702,478.21875,49.8
1727408702,478.21875,55.6
1727408702,478.21875,49.0
1727408702,478.21875,56.8
1727408703,478.21875,49.7
1727408703,478.21875,54.3
1727408703,478.21875,48.6
1727408703,478.21875,38.7
1727408705,478.21875,49.7
1727408705,478.21875,52.1
1727408705,478.21875,49.1
1727408705,478.21875,55.6
1727408706,478.21875,49.7
1727408706,478.21875,40.0
1727408706,478.21875,52.9
1727408706,478.21875,40.6
1727408708,478.21875,49.7
1727408708,478.21875,56.5
1727408708,478.21875,48.6
1727408708,478.21875,37.5
1727408709,478.21875,49.8
1727408709,478.21875,40.5
1727408709,478.21875,53.0
1727408709,478.21875,38.2
1727408711,478.21875,49.8
1727408711,478.21875,36.4
1727408711,478.21875,50.5
1727408711,478.21875,57.8
1727408712,478.21875,49.7
1727408712,478.21875,47.4
1727408712,478.21875,52.1
1727408712,478.21875,47.2
1727408713,478.21875,49.7
1727408713,478.21875,44.7
1727408713,478.21875,52.6
1727408713,478.21875,38.7
1727408715,478.21875,49.8
1727408715,478.21875,46.2
1727408715,478.21875,52.7
1727408715,478.21875,39.4
1727408716,478.21875,49.8
1727408716,478.21875,38.2
1727408716,478.21875,54.2
1727408716,478.21875,38.2
1727408718,478.21875,49.8
1727408718,478.21875,55.3
1727408718,478.21875,48.1
1727408718,478.21875,56.5
1727408719,478.21875,49.7
1727408719,478.21875,38.2
1727408719,478.21875,50.5
1727408719,478.21875,53.7
1727408720,478.21875,49.7
1727408720,478.21875,38.2
1727408720,478.21875,52.0
1727408720,478.21875,42.4
1727408722,478.21875,49.7
1727408722,478.21875,55.3
1727408722,478.21875,47.7
1727408722,478.21875,55.6
1727408723,478.21875,49.7
1727408723,478.21875,55.6
1727408723,478.21875,47.2
1727408723,478.21875,55.6
1727408724,478.21875,49.7
1727408724,478.21875,51.2
1727408724,478.21875,52.5
1727408724,478.21875,40.6
1727408726,478.21875,49.7
1727408726,478.21875,41.7
1727408726,478.21875,52.6
1727408726,478.21875,40.6
1727408727,478.21875,49.7
1727408727,478.21875,53.2
1727408727,478.21875,48.1
1727408727,478.21875,54.3
1727408729,478.21875,49.7
1727408729,478.21875,51.1
1727408729,478.21875,49.1
1727408729,478.21875,50.0
1727408730,478.21875,49.7
1727408730,478.21875,51.0
1727408730,478.21875,52.8
1727408730,478.21875,40.6
1727408731,478.21875,49.8
1727408731,478.21875,46.2
1727408731,478.21875,52.3
1727408731,478.21875,39.4
1727408733,478.21875,49.7
1727408733,478.21875,56.5
1727408733,478.21875,48.6
1727408733,478.21875,56.5
1727408734,478.21875,49.7
1727408734,478.21875,54.3
1727408734,478.21875,49.1
1727408734,478.21875,54.5
1727408736,478.21875,49.7
1727408736,478.21875,40.0
1727408736,478.21875,53.3
1727408736,478.21875,40.6
1727408737,478.21875,49.7
1727408737,478.21875,56.3
1727408737,478.21875,48.1
1727408737,478.21875,55.6
1727408738,478.21875,49.7
1727408738,478.21875,51.2
1727408738,478.21875,49.1
1727408738,478.21875,40.6
1727408740,478.21875,49.8
1727408740,478.21875,36.4
1727408740,478.21875,52.9
1727408740,478.21875,40.6
1727408741,478.21875,49.7
1727408741,478.21875,54.3
1727408741,478.21875,50.0
1727408741,478.21875,56.8
1727408742,478.21875,49.7
1727408742,478.21875,53.2
1727408742,478.21875,48.1
1727408742,478.21875,57.8
1727408744,478.21875,49.7
1727408744,478.21875,54.3
1727408744,478.21875,49.1
1727408744,478.21875,55.6
1727408745,478.21875,49.7
1727408745,478.21875,55.1
1727408745,478.21875,48.1
1727408745,478.21875,47.2
1727408747,478.21875,49.7
1727408747,478.21875,54.3
1727408747,478.21875,48.6
1727408747,478.21875,55.6
1727408748,478.21875,49.7
1727408748,478.21875,37.1
1727408748,478.21875,53.8
1727408748,478.21875,39.4
1727408749,478.22265625,49.8
1727408749,478.22265625,51.2
1727408749,478.22265625,47.6
1727408749,478.22265625,58.7
1727408751,478.22265625,49.7
1727408751,478.22265625,55.6
1727408751,478.22265625,48.1
1727408751,478.22265625,56.8
1727408752,478.22265625,49.7
1727408752,478.22265625,54.2
1727408752,478.22265625,46.3
1727408752,478.22265625,56.5
1727408754,478.22265625,49.8
1727408754,478.22265625,50.0
1727408754,478.22265625,50.9
1727408754,478.22265625,39.4
1727408755,478.22265625,49.7
1727408755,478.22265625,54.3
1727408755,478.22265625,52.4
1727408755,478.22265625,38.2
1727408756,478.22265625,49.8
1727408756,478.22265625,38.9
1727408756,478.22265625,53.4
1727408756,478.22265625,40.6
1727408758,478.22265625,49.8
1727408758,478.22265625,38.2
1727408758,478.22265625,52.5
1727408758,478.22265625,38.7
1727408759,478.22265625,49.8
1727408759,478.22265625,38.9
1727408759,478.22265625,52.5
1727408759,478.22265625,39.4
1727408760,478.22265625,49.8
1727408760,478.22265625,44.7
1727408760,478.22265625,53.7
1727408760,478.22265625,40.6
1727408762,478.22265625,49.8
1727408762,478.22265625,54.3
1727408762,478.22265625,48.2
1727408762,478.22265625,59.1
1727408763,478.22265625,49.7
1727408763,478.22265625,55.3
1727408763,478.22265625,48.5
1727408763,478.22265625,40.6
1727408765,478.22265625,49.8
1727408765,478.22265625,53.2
1727408765,478.22265625,49.1
1727408765,478.22265625,56.5
1727408766,478.22265625,49.7
1727408766,478.22265625,54.3
1727408766,478.22265625,48.6
1727408766,478.22265625,56.5
1727408767,478.22265625,49.7
1727408767,478.22265625,54.3
1727408767,478.22265625,50.4
1727408767,478.22265625,47.2
1727408769,478.22265625,49.7
1727408769,478.22265625,53.1
1727408769,478.22265625,48.5
1727408769,478.22265625,53.7
1727408770,478.22265625,49.7
1727408770,478.22265625,38.2
1727408770,478.22265625,52.5
1727408770,478.22265625,42.4
1727408771,478.22265625,49.7
1727408771,478.22265625,40.0
1727408771,478.22265625,53.7
1727408771,478.22265625,40.6
1727408773,478.22265625,49.8
1727408773,478.22265625,38.2
1727408773,478.22265625,54.2
1727408773,478.22265625,37.5
1727408774,478.22265625,49.8
1727408774,478.22265625,56.2
1727408774,478.22265625,48.5
1727408774,478.22265625,38.7
1727408776,478.22265625,49.8
1727408776,478.22265625,43.6
1727408776,478.22265625,52.2
1727408776,478.22265625,39.4
1727408777,478.23046875,49.8
1727408777,478.23046875,40.0
1727408777,478.23046875,52.0
1727408777,478.23046875,36.4
1727408778,478.23046875,49.8
1727408778,478.23046875,38.2
1727408778,478.23046875,54.2
1727408778,478.23046875,36.4
1727408780,478.23046875,49.8
1727408780,478.23046875,56.5
1727408780,478.23046875,49.0
1727408780,478.23046875,42.4
1727408781,478.23046875,49.7
1727408781,478.23046875,52.4
1727408781,478.23046875,50.5
1727408781,478.23046875,56.8
1727408783,478.23046875,49.7
1727408783,478.23046875,38.2
1727408783,478.23046875,53.8
1727408783,478.23046875,43.7
1727408784,478.23046875,49.8
1727408784,478.23046875,36.4
1727408784,478.23046875,53.7
1727408784,478.23046875,38.7
1727408785,478.23046875,49.7
1727408785,478.23046875,54.3
1727408785,478.23046875,50.0
1727408785,478.23046875,50.0
1727408787,478.23046875,49.7
1727408787,478.23046875,56.5
1727408787,478.23046875,49.5
1727408787,478.23046875,54.3
1727408788,478.23046875,49.7
1727408788,478.23046875,37.5
1727408788,478.23046875,54.3
1727408788,478.23046875,45.5
1727408789,478.23046875,49.7
1727408789,478.23046875,42.9
1727408789,478.23046875,49.1
1727408789,478.23046875,56.8
1727408791,478.23046875,49.8
1727408791,478.23046875,39.4
1727408791,478.23046875,49.5
1727408791,478.23046875,56.5
1727408792,478.23046875,49.7
1727408792,478.23046875,38.2
1727408792,478.23046875,52.5
1727408792,478.23046875,45.9
1727408794,478.23046875,49.7
1727408794,478.23046875,54.3
1727408794,478.23046875,48.5
1727408794,478.23046875,58.7
1727408795,478.23046875,49.7
1727408795,478.23046875,36.4
1727408795,478.23046875,52.0
1727408795,478.23046875,56.8
1727408796,478.23046875,49.7
1727408796,478.23046875,49.0
1727408796,478.23046875,51.6
1727408796,478.23046875,53.7
1727408798,478.23046875,49.7
1727408798,478.23046875,38.2
1727408798,478.23046875,48.6
1727408798,478.23046875,57.4
1727408799,478.23046875,49.7
1727408799,478.23046875,54.3
1727408799,478.23046875,47.2
1727408799,478.23046875,56.5
1727408800,478.2421875,49.7
1727408800,478.2421875,48.8
1727408800,478.2421875,53.3
1727408800,478.2421875,42.4
1727408802,478.2421875,49.7
1727408802,478.2421875,55.3
1727408802,478.2421875,48.1
1727408802,478.2421875,56.8
1727408803,478.2421875,49.7
1727408803,478.2421875,54.0
1727408803,478.2421875,49.0
1727408803,478.2421875,54.5
1727408805,478.24609375,49.7
1727408805,478.24609375,54.3
1727408805,478.24609375,50.0
1727408805,478.24609375,53.7
1727408806,478.24609375,49.7
1727408806,478.24609375,41.2
1727408806,478.24609375,52.5
1727408806,478.24609375,38.7
1727408807,478.24609375,49.7
1727408807,478.24609375,56.5
1727408807,478.24609375,49.0
1727408807,478.24609375,38.7
1727408809,478.24609375,49.7
1727408809,478.24609375,53.2
1727408809,478.24609375,48.6
1727408809,478.24609375,54.2
1727408810,478.24609375,49.7
1727408810,478.24609375,54.3
1727408810,478.24609375,48.1
1727408810,478.24609375,55.3
1727408812,478.24609375,49.8
1727408812,478.24609375,37.5
1727408812,478.24609375,51.6
1727408812,478.24609375,41.2
1727408813,478.24609375,49.8
1727408813,478.24609375,39.4
1727408813,478.24609375,49.1
1727408813,478.24609375,54.5
1727408814,478.24609375,49.7
1727408814,478.24609375,54.3
1727408814,478.24609375,47.7
1727408814,478.24609375,54.3
1727408816,478.24609375,49.7
1727408816,478.24609375,38.2
1727408816,478.24609375,50.9
1727408816,478.24609375,51.2
1727408817,478.24609375,49.7
1727408817,478.24609375,44.7
1727408817,478.24609375,52.6
1727408817,478.24609375,39.4
1727408818,478.24609375,49.7
1727408818,478.24609375,40.0
1727408818,478.24609375,52.5
1727408818,478.24609375,40.6
1727408820,478.24609375,49.8
1727408820,478.24609375,55.3
1727408820,478.24609375,48.1
1727408820,478.24609375,50.0
1727408821,478.24609375,49.7
1727408821,478.24609375,57.4
1727408821,478.24609375,48.5
1727408821,478.24609375,55.6
1727408823,478.24609375,49.8
1727408823,478.24609375,55.6
1727408823,478.24609375,49.1
1727408823,478.24609375,42.4
1727408824,478.24609375,49.7
1727408824,478.24609375,55.3
1727408824,478.24609375,46.9
1727408824,478.24609375,55.8
1727408825,478.24609375,49.7
1727408825,478.24609375,37.1
1727408825,478.24609375,52.9
1727408825,478.24609375,38.7
1727408827,478.24609375,49.7
1727408827,478.24609375,53.1
1727408827,478.24609375,47.7
1727408827,478.24609375,57.8
1727408828,478.24609375,49.7
1727408828,478.24609375,56.3
1727408828,478.24609375,48.6
1727408828,478.24609375,39.4
1727408829,478.24609375,49.7
1727408829,478.24609375,53.1
1727408829,478.24609375,48.6
1727408829,478.24609375,37.5
1727408831,478.24609375,49.7
1727408831,478.24609375,51.0
1727408831,478.24609375,50.8
1727408831,478.24609375,37.5
1727408832,478.24609375,49.8
1727408832,478.24609375,54.3
1727408832,478.24609375,46.7
1727408832,478.24609375,53.7
1727408834,478.24609375,49.7
1727408834,478.24609375,53.2
1727408834,478.24609375,47.7
1727408834,478.24609375,57.8
1727408835,478.24609375,49.7
1727408835,478.24609375,51.0
1727408835,478.24609375,49.5
1727408835,478.24609375,55.6
1727408836,478.24609375,49.7
1727408836,478.24609375,54.3
1727408836,478.24609375,49.2
1727408836,478.24609375,53.2
1727408838,478.24609375,49.7
1727408838,478.24609375,36.4
1727408838,478.24609375,53.8
1727408838,478.24609375,39.4
1727408839,478.24609375,49.7
1727408839,478.24609375,54.3
1727408839,478.24609375,51.7
1727408839,478.24609375,44.4
1727408840,478.24609375,49.7
1727408840,478.24609375,43.2
1727408840,478.24609375,52.2
1727408840,478.24609375,40.6
1727408842,478.24609375,49.7
1727408842,478.24609375,53.2
1727408842,478.24609375,49.1
1727408842,478.24609375,55.6
1727408843,478.24609375,49.8
1727408843,478.24609375,51.1
1727408843,478.24609375,52.5
1727408843,478.24609375,41.2
1727408845,478.24609375,49.7
1727408845,478.24609375,55.3
1727408845,478.24609375,48.1
1727408845,478.24609375,56.5
1727408846,478.24609375,49.7
1727408846,478.24609375,38.9
1727408846,478.24609375,52.9
1727408846,478.24609375,36.1
1727408847,478.24609375,49.7
1727408847,478.24609375,54.3
1727408847,478.24609375,48.6
1727408847,478.24609375,55.6
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1727408871,478.24609375,57.8
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1727408876,478.25,48.1
1727408876,478.25,52.5
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1727408878,478.25,55.3
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1727408878,478.25,53.2
1727408880,479.33984375,49.9
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1727408885,479.33984375,49.9
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1727408889,479.33984375,52.1
1727408889,479.33984375,39.4
1727408891,479.33984375,49.9
1727408891,479.33984375,38.2
1727408891,479.33984375,50.4
1727408891,479.33984375,57.8
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1727408896,479.33984375,39.4
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1727408900,479.33984375,50.9
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1727408905,479.33984375,46.4
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1727408914,479.51953125,53.3
1727408914,479.51953125,38.7
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1727408923,479.53515625,49.9
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1727408925,479.53515625,55.6
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1727408925,479.53515625,53.2
1727408927,479.53515625,49.9
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1727408927,479.53515625,50.9
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1727408930,479.53515625,49.9
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1727408930,479.53515625,42.9
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1727408932,479.57421875,51.6
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1727408934,479.57421875,49.9
1727408934,479.57421875,36.4
1727408934,479.57421875,52.0
1727408934,479.57421875,56.5
1727408936,479.57421875,49.8
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1727408939,479.57421875,49.9
1727408939,479.57421875,36.4
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1727408941,479.57421875,49.9
1727408941,479.57421875,55.3
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1727408945,479.57421875,47.3
1727408945,479.57421875,52.1
1727408948,479.57421875,49.9
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1727408950,479.57421875,49.9
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1727408963,479.57421875,55.6
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1727408965,479.59765625,40.0
1727408965,479.59765625,50.4
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1727408968,479.59765625,49.9
1727408968,479.59765625,36.4
1727408968,479.59765625,51.2
1727408968,479.59765625,56.8
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1727408970,479.59765625,38.7
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1727408972,479.59765625,44.1
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1727408972,479.59765625,48.7
1727408975,479.59765625,49.9
1727408975,479.59765625,55.3
1727408975,479.59765625,50.8
1727408975,479.59765625,37.5
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1727408977,479.59765625,56.3
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1727408977,479.59765625,36.4
1727408979,479.6640625,49.9
1727408979,479.6640625,54.3
1727408979,479.6640625,50.0
1727408979,479.6640625,39.4
1727408981,479.6640625,49.9
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1727408981,479.6640625,55.6
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1727408990,479.6640625,50.8
1727408990,479.6640625,58.7
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1727409003,479.6640625,40.6
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1727409027,479.75,53.2
1727409027,479.75,50.4
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1727409029,479.75,56.5
1727409029,479.75,49.7
1727409029,479.75,41.7
1727409032,479.75,49.9
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1727409032,479.75,48.9
1727409032,479.75,42.9
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1727409056,479.77734375,52.1
1727409056,479.77734375,51.3
1727409056,479.77734375,40.6
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1727409058,479.77734375,50.0
1727409058,479.77734375,49.6
1727409058,479.77734375,53.2
1727409060,479.77734375,49.9
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1727409060,479.77734375,49.2
1727409060,479.77734375,55.6
1727409063,479.77734375,49.9
1727409063,479.77734375,55.6
1727409063,479.77734375,49.2
1727409063,479.77734375,56.8
1727409065,479.77734375,49.9
1727409065,479.77734375,48.8
1727409065,479.77734375,50.0
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1727409067,479.77734375,40.0
1727409067,479.77734375,52.4
1727409067,479.77734375,36.4
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1727409069,479.77734375,52.0
1727409069,479.77734375,49.6
1727409069,479.77734375,57.8
1727409071,479.77734375,49.8
1727409071,479.77734375,50.0
1727409071,479.77734375,50.0
1727409071,479.77734375,54.3
1727409073,479.8515625,49.9
1727409073,479.8515625,39.4
1727409073,479.8515625,53.1
1727409073,479.8515625,40.6
1727409076,479.8515625,49.8
1727409076,479.8515625,55.6
1727409076,479.8515625,48.1
1727409076,479.8515625,56.5
1727409078,479.8515625,49.9
1727409078,479.8515625,47.5
1727409078,479.8515625,51.7
1727409078,479.8515625,40.6
1727409080,479.8515625,49.8
1727409080,479.8515625,54.3
1727409080,479.8515625,48.1
1727409080,479.8515625,55.3
1727409082,479.8515625,49.8
1727409082,479.8515625,56.5
1727409082,479.8515625,47.7
1727409082,479.8515625,58.7
1727409084,479.921875,49.9
1727409084,479.921875,54.3
1727409084,479.921875,47.4
1727409084,479.921875,54.5
1727409086,479.921875,49.8
1727409086,479.921875,50.0
1727409086,479.921875,48.6
1727409086,479.921875,57.8
1727409088,479.921875,49.8
1727409088,479.921875,54.3
1727409088,479.921875,47.5
1727409088,479.921875,53.5
1727409091,479.921875,49.9
1727409091,479.921875,38.2
1727409091,479.921875,51.7
1727409091,479.921875,45.7
1727409093,479.953125,49.9
1727409093,479.953125,54.3
1727409093,479.953125,49.4
1727409093,479.953125,57.4
1727409095,479.953125,49.9
1727409095,479.953125,53.2
1727409095,479.953125,47.8
1727409095,479.953125,55.6
1727409097,479.953125,49.8
1727409097,479.953125,54.3
1727409097,479.953125,51.7
1727409097,479.953125,44.7
1727409100,479.953125,49.8
1727409100,479.953125,53.1
1727409100,479.953125,50.3
1727409100,479.953125,42.4
1727409102,479.953125,49.8
1727409102,479.953125,56.3
1727409102,479.953125,51.0
1727409102,479.953125,37.5
1727409104,479.953125,49.9
1727409104,479.953125,54.0
1727409104,479.953125,50.7
1727409104,479.953125,39.4
1727409106,479.953125,49.9
1727409106,479.953125,55.3
1727409106,479.953125,49.0
1727409106,479.953125,42.9
1727409108,479.953125,49.9
1727409108,479.953125,52.3
1727409108,479.953125,47.5
1727409108,479.953125,56.5
1727409110,479.953125,49.9
1727409110,479.953125,55.3
1727409110,479.953125,50.3
1727409110,479.953125,40.6
1727409112,479.953125,49.8
1727409112,479.953125,55.6
1727409112,479.953125,51.7
1727409112,479.953125,38.7
1727409115,479.953125,49.9
1727409115,479.953125,36.4
1727409115,479.953125,50.0
1727409115,479.953125,57.8
1727409117,479.953125,49.8
1727409117,479.953125,57.4
1727409117,479.953125,49.7
1727409117,479.953125,41.9
1727409119,479.953125,49.8
1727409119,479.953125,54.3
1727409119,479.953125,51.7
1727409119,479.953125,38.7
1727409121,479.953125,49.9
1727409121,479.953125,48.1
1727409121,479.953125,52.0
1727409121,479.953125,53.1
1727409123,479.953125,49.9
1727409123,479.953125,55.3
1727409123,479.953125,47.4
1727409123,479.953125,57.8
1727409125,479.953125,49.9
1727409125,479.953125,54.3
1727409125,479.953125,51.0
1727409125,479.953125,40.6
1727409128,479.953125,49.9
1727409128,479.953125,55.3
1727409128,479.953125,49.7
1727409128,479.953125,52.1
1727409130,479.953125,49.8
1727409130,479.953125,55.6
1727409130,479.953125,47.4
1727409130,479.953125,54.2
1727409132,479.953125,49.8
1727409132,479.953125,39.4
1727409132,479.953125,50.7
1727409132,479.953125,53.2
1727409134,479.953125,49.9
1727409134,479.953125,55.3
1727409134,479.953125,50.0
1727409134,479.953125,40.6
1727409136,479.953125,49.9
1727409136,479.953125,46.5
1727409136,479.953125,48.6
1727409136,479.953125,55.6
1727409138,479.953125,49.8
1727409139,479.953125,38.2
1727409139,479.953125,50.7
1727409139,479.953125,56.8
1727409141,479.953125,49.8
1727409141,479.953125,39.4
1727409141,479.953125,50.7
1727409141,479.953125,55.6
1727409143,480.01171875,49.9
1727409143,480.01171875,41.7
1727409143,480.01171875,49.7
1727409143,480.01171875,56.8
1727409145,480.01171875,49.9
1727409145,480.01171875,54.2
1727409145,480.01171875,50.0
1727409145,480.01171875,40.0
1727409147,480.01171875,49.9
1727409147,480.01171875,42.1
1727409147,480.01171875,50.7
1727409147,480.01171875,56.5
1727409149,480.01171875,49.8
1727409149,480.01171875,47.6
1727409149,480.01171875,50.7
1727409149,480.01171875,52.2
1727409151,480.01171875,49.9
1727409151,480.01171875,36.4
1727409151,480.01171875,51.4
1727409151,480.01171875,40.6
1727409154,480.01953125,49.9
1727409154,480.01953125,55.6
1727409154,480.01953125,47.9
1727409154,480.01953125,52.4
1727409156,480.01953125,49.8
1727409156,480.01953125,55.6
1727409156,480.01953125,50.3
1727409156,480.01953125,53.5
1727409158,480.01953125,49.8
1727409158,480.01953125,55.3
1727409158,480.01953125,50.3
1727409158,480.01953125,41.2
1727409160,480.01953125,49.9
1727409160,480.01953125,54.3
1727409160,480.01953125,49.4
1727409160,480.01953125,54.3
1727409162,480.01953125,49.8
1727409162,480.01953125,55.3
1727409162,480.01953125,50.3
1727409162,480.01953125,52.4
1727409164,480.01953125,49.9
1727409164,480.01953125,53.2
1727409164,480.01953125,50.0
1727409164,480.01953125,47.7
1727409166,480.01953125,49.8
1727409166,480.01953125,49.4
1727409166,480.01953125,51.1
1727409166,480.01953125,44.8
1727409168,480.01953125,49.8
1727409168,480.01953125,53.2
1727409168,480.01953125,50.3
1727409168,480.01953125,55.6
1727409171,480.01953125,49.8
1727409171,480.01953125,50.0
1727409171,480.01953125,49.7
1727409171,480.01953125,53.7
1727409173,480.01953125,49.9
1727409173,480.01953125,53.2
1727409173,480.01953125,50.0
1727409173,480.01953125,56.8
1727409175,480.01953125,49.9
1727409175,480.01953125,53.2
1727409175,480.01953125,49.0
1727409175,480.01953125,47.5
1727409177,480.01953125,49.8
1727409177,480.01953125,54.3
1727409177,480.01953125,49.7
1727409177,480.01953125,56.5
1727409179,480.01953125,49.8
1727409179,480.01953125,47.5
1727409179,480.01953125,50.6
1727409179,480.01953125,40.6
1727409182,480.01953125,49.9
1727409182,480.01953125,56.5
1727409182,480.01953125,49.7
1727409182,480.01953125,56.8
1727409184,480.01953125,49.9
1727409184,480.01953125,37.5
1727409184,480.01953125,49.4
1727409184,480.01953125,56.8
1727409186,480.01953125,49.8
1727409186,480.01953125,38.2
1727409186,480.01953125,50.3
1727409186,480.01953125,54.3
1727409188,480.01953125,49.8
1727409188,480.01953125,54.3
1727409188,480.01953125,48.7
1727409188,480.01953125,56.5
1727409190,480.01953125,49.8
1727409190,480.01953125,56.5
1727409190,480.01953125,50.0
1727409190,480.01953125,48.7
1727409192,480.01953125,49.9
1727409192,480.01953125,56.3
1727409192,480.01953125,48.4
1727409192,480.01953125,45.9
1727409194,480.01953125,49.9
1727409194,480.01953125,37.1
1727409194,480.01953125,50.0
1727409194,480.01953125,56.0
1727409196,480.01953125,49.8
1727409196,480.01953125,41.2
1727409196,480.01953125,50.3
1727409196,480.01953125,56.5
1727409199,480.01953125,49.8
1727409199,480.01953125,56.5
1727409199,480.01953125,50.0
1727409199,480.01953125,38.7
1727409201,480.01953125,49.8
1727409201,480.01953125,55.6
1727409201,480.01953125,50.3
1727409201,480.01953125,40.6
1727409203,480.0703125,49.8
1727409203,480.0703125,55.6
1727409203,480.0703125,50.6
1727409203,480.0703125,41.9
1727409205,480.0703125,49.9
1727409205,480.0703125,52.1
1727409205,480.0703125,49.7
1727409205,480.0703125,40.0
1727409207,480.0703125,49.9
1727409207,480.0703125,37.5
1727409207,480.0703125,53.4
1727409207,480.0703125,38.7
1727409209,480.0703125,49.8
1727409209,480.0703125,40.0
1727409209,480.0703125,49.0
1727409209,480.0703125,56.5
1727409211,480.0703125,49.9
1727409211,480.0703125,40.0
1727409211,480.0703125,51.2
1727409211,480.0703125,44.6
1727409213,480.0703125,49.8
1727409213,480.0703125,54.3
1727409213,480.0703125,49.7
1727409213,480.0703125,57.4
1727409216,480.0703125,49.9
1727409216,480.0703125,54.3
1727409216,480.0703125,51.1
1727409216,480.0703125,37.5
1727409218,480.0703125,49.8
1727409218,480.0703125,55.3
1727409218,480.0703125,49.0
1727409218,480.0703125,55.6
1727409220,480.0703125,49.8
1727409220,480.0703125,49.4
1727409220,480.0703125,50.0
1727409220,480.0703125,52.8
1727409222,480.0703125,49.8
1727409222,480.0703125,54.3
1727409222,480.0703125,49.7
1727409222,480.0703125,42.4
1727409224,480.0703125,49.9
1727409224,480.0703125,38.2
1727409224,480.0703125,53.5
1727409224,480.0703125,38.7
1727409226,480.0703125,49.8
1727409226,480.0703125,56.2
1727409226,480.0703125,48.7
1727409226,480.0703125,39.4
1727409228,480.0703125,49.9
1727409228,480.0703125,38.2
1727409228,480.0703125,50.6
1727409228,480.0703125,56.8
1727409230,480.0703125,49.8
1727409230,480.0703125,55.1
1727409230,480.0703125,48.1
1727409230,480.0703125,56.3
1727409233,480.0703125,49.9
1727409233,480.0703125,55.6
1727409233,480.0703125,50.8
1727409233,480.0703125,37.5
1727409235,480.0703125,49.9
1727409235,480.0703125,54.2
1727409235,480.0703125,47.5
1727409235,480.0703125,59.1
1727409237,480.0703125,49.8
1727409237,480.0703125,37.1
1727409237,480.0703125,52.0
1727409237,480.0703125,40.0
1727409239,480.0703125,49.9
1727409239,480.0703125,53.1
1727409239,480.0703125,52.3
1727409239,480.0703125,39.4
1727409241,480.0703125,49.9
1727409241,480.0703125,56.5
1727409241,480.0703125,48.7
1727409241,480.0703125,56.8
1727409243,480.0703125,49.8
1727409243,480.0703125,55.1
1727409243,480.0703125,51.4
1727409243,480.0703125,41.2
1727409245,480.0703125,49.9
1727409245,480.0703125,37.5
1727409245,480.0703125,51.7
1727409245,480.0703125,40.6
1727409247,480.0703125,49.8
1727409247,480.0703125,46.3
1727409247,480.0703125,50.9
1727409247,480.0703125,39.4
1727409249,480.0703125,49.8
1727409249,480.0703125,55.6
1727409249,480.0703125,48.1
1727409249,480.0703125,56.8
1727409251,480.0703125,49.8
1727409251,480.0703125,38.2
1727409251,480.0703125,50.6
1727409251,480.0703125,50.0
1727409254,480.0703125,49.9
1727409254,480.0703125,40.5
1727409254,480.0703125,50.9
1727409254,480.0703125,57.4
1727409256,480.0703125,49.8
1727409256,480.0703125,55.3
1727409256,480.0703125,47.3
1727409256,480.0703125,52.3
1727409258,480.0703125,49.8
1727409258,480.0703125,52.1
1727409258,480.0703125,50.8
1727409258,480.0703125,40.6
1727409260,480.0703125,49.8
1727409260,480.0703125,54.2
1727409260,480.0703125,49.2
1727409260,480.0703125,55.3
1727409262,480.0703125,49.8
1727409262,480.0703125,36.4
1727409262,480.0703125,51.4
1727409262,480.0703125,55.3
1727409264,480.203125,49.8
1727409264,480.203125,54.3
1727409264,480.203125,49.1
1727409264,480.203125,53.5
1727409266,480.203125,49.8
1727409266,480.203125,48.8
1727409266,480.203125,49.1
1727409266,480.203125,55.6
1727409268,480.203125,49.8
1727409268,480.203125,55.3
1727409269,480.203125,50.6
1727409269,480.203125,40.6
1727409271,480.203125,49.9
1727409271,480.203125,40.0
1727409271,480.203125,51.1
1727409271,480.203125,53.2
1727409411,521.83984375,50.2
1727409411,521.83984375,53.2
1727409411,521.83984375,49.7
1727409411,521.83984375,39.4
1727409412,521.83984375,49.8
1727409412,521.83984375,37.1
1727409412,521.83984375,50.9
1727409412,521.83984375,54.2
1727409414,521.83984375,49.8
1727409414,521.83984375,52.3
1727409414,521.83984375,48.2
1727409414,521.83984375,55.6
1727409416,521.83984375,49.8
1727409416,521.83984375,54.3
1727409416,521.83984375,50.3
1727409416,521.83984375,39.4
1727409417,521.83984375,49.8
1727409417,521.83984375,54.3
1727409417,521.83984375,51.1
1727409417,521.83984375,40.0
1727409419,521.83984375,49.8
1727409419,521.83984375,53.3
1727409419,521.83984375,50.6
1727409419,521.83984375,54.7
1727409421,521.83984375,49.8
1727409421,521.83984375,55.3
1727409421,521.83984375,50.0
1727409421,521.83984375,42.4
1727409422,521.83984375,49.8
1727409422,521.83984375,45.0
1727409422,521.83984375,51.3
1727409422,521.83984375,40.6
1727409424,521.83984375,49.8
1727409424,521.83984375,36.4
1727409424,521.83984375,50.0
1727409424,521.83984375,56.5
1727409426,521.83984375,49.8
1727409426,521.83984375,54.3
1727409426,521.83984375,51.1
1727409426,521.83984375,38.7
1727409427,521.83984375,49.8
1727409427,521.83984375,43.2
1727409427,521.83984375,50.0
1727409427,521.83984375,55.6
1727409429,521.83984375,49.8
1727409429,521.83984375,37.5
1727409429,521.83984375,50.6
1727409429,521.83984375,57.8
1727409431,521.83984375,49.8
1727409431,521.83984375,47.4
1727409431,521.83984375,49.1
1727409431,521.83984375,54.3
1727409433,521.83984375,49.8
1727409433,521.83984375,39.4
1727409433,521.83984375,50.3
1727409433,521.83984375,56.5
1727409434,521.83984375,49.8
1727409434,521.83984375,35.3
1727409434,521.83984375,51.1
1727409434,521.83984375,56.5
1727409436,521.83984375,49.8
1727409436,521.83984375,46.7
1727409436,521.83984375,51.1
1727409436,521.83984375,38.7
1727409438,521.83984375,49.8
1727409438,521.83984375,54.9
1727409438,521.83984375,50.0
1727409438,521.83984375,40.6
1727409439,521.83984375,49.8
1727409439,521.83984375,52.1
1727409439,521.83984375,50.3
1727409439,521.83984375,39.4
1727409441,521.83984375,49.8
1727409441,521.83984375,51.2
1727409441,521.83984375,50.6
1727409441,521.83984375,56.8
1727409443,521.83984375,49.8
1727409443,521.83984375,50.0
1727409443,521.83984375,49.7
1727409443,521.83984375,56.5
1727409444,521.83984375,49.8
1727409444,521.83984375,36.4
1727409444,521.83984375,51.1
1727409444,521.83984375,53.5
1727409446,521.83984375,49.8
1727409446,521.83984375,55.3
1727409446,521.83984375,49.7
1727409446,521.83984375,38.7
1727409448,521.83984375,49.8
1727409448,521.83984375,46.3
1727409448,521.83984375,49.7
1727409448,521.83984375,57.4
1727409449,521.83984375,49.8
1727409449,521.83984375,52.1
1727409449,521.83984375,49.7
1727409449,521.83984375,42.4
1727409451,521.83984375,49.8
1727409451,521.83984375,54.3
1727409451,521.83984375,49.7
1727409451,521.83984375,41.2
1727409453,521.83984375,49.8
1727409453,521.83984375,53.3
1727409453,521.83984375,50.2
1727409453,521.83984375,50.0
1727409454,521.83984375,49.8
1727409454,521.83984375,56.2
1727409454,521.83984375,49.4
1727409454,521.83984375,54.8
1727409456,521.83984375,49.8
1727409456,521.83984375,38.2
1727409456,521.83984375,51.8
1727409456,521.83984375,39.4
1727409458,521.83984375,49.8
1727409458,521.83984375,38.9
1727409458,521.83984375,50.0
1727409458,521.83984375,55.6
1727409459,521.83984375,49.8
1727409459,521.83984375,55.1
1727409459,521.83984375,50.6
1727409459,521.83984375,44.7
1727409461,521.83984375,49.8
1727409461,521.83984375,54.2
1727409461,521.83984375,50.9
1727409461,521.83984375,39.4
1727409463,521.83984375,49.8
1727409463,521.83984375,48.8
1727409463,521.83984375,48.2
1727409463,521.83984375,57.4
1727409464,521.83984375,49.8
1727409464,521.83984375,40.0
1727409464,521.83984375,50.3
1727409464,521.83984375,55.8
1727409466,521.83984375,49.8
1727409466,521.83984375,53.1
1727409466,521.83984375,48.1
1727409466,521.83984375,57.8
1727409468,521.83984375,49.8
1727409468,521.83984375,54.2
1727409468,521.83984375,50.0
1727409468,521.83984375,52.0
1727409469,521.83984375,49.8
1727409469,521.83984375,37.1
1727409469,521.83984375,50.3
1727409469,521.83984375,57.8
1727409471,521.83984375,49.8
1727409471,521.83984375,35.1
1727409471,521.83984375,51.1
1727409471,521.83984375,56.8
1727409473,521.83984375,49.8
1727409473,521.83984375,48.8
1727409473,521.83984375,51.1
1727409473,521.83984375,37.5
1727409474,521.83984375,49.8
1727409474,521.83984375,52.1
1727409474,521.83984375,51.5
1727409474,521.83984375,41.2
1727409476,521.83984375,49.8
1727409476,521.83984375,56.2
1727409476,521.83984375,48.6
1727409476,521.83984375,56.5
1727409478,521.83984375,49.8
1727409478,521.83984375,38.2
1727409478,521.83984375,52.3
1727409478,521.83984375,37.5
1727409480,521.83984375,49.8
1727409480,521.83984375,46.2
1727409480,521.83984375,51.3
1727409480,521.83984375,39.4
1727409481,521.83984375,49.8
1727409481,521.83984375,38.2
1727409481,521.83984375,52.3
1727409481,521.83984375,37.5
1727409483,521.83984375,49.8
1727409483,521.83984375,35.3
1727409483,521.83984375,50.8
1727409483,521.83984375,57.8
1727409485,521.83984375,49.8
1727409485,521.83984375,55.6
1727409485,521.83984375,49.2
1727409485,521.83984375,57.4
1727409486,521.83984375,49.8
1727409486,521.83984375,37.8
1727409486,521.83984375,50.6
1727409486,521.83984375,55.6
1727409488,521.83984375,49.8
1727409488,521.83984375,38.2
1727409488,521.83984375,50.6
1727409488,521.83984375,56.5
1727409490,521.83984375,49.8
1727409490,521.83984375,50.0
1727409490,521.83984375,49.3
1727409490,521.83984375,39.4
1727409492,521.83984375,49.8
1727409492,521.83984375,55.1
1727409492,521.83984375,49.8
1727409492,521.83984375,42.4
1727409493,521.83984375,49.8
1727409493,521.83984375,44.7
1727409493,521.83984375,50.0
1727409493,521.83984375,55.6
1727409495,521.83984375,49.8
1727409495,521.83984375,51.0
1727409495,521.83984375,50.6
1727409495,521.83984375,53.2
1727409497,521.83984375,49.8
1727409497,521.83984375,55.1
1727409497,521.83984375,49.2
1727409497,521.83984375,40.6
1727409498,521.83984375,49.8
1727409498,521.83984375,54.2
1727409498,521.83984375,50.0
1727409498,521.83984375,39.4
1727409500,521.83984375,49.8
1727409500,521.83984375,52.1
1727409500,521.83984375,50.8
1727409500,521.83984375,54.8
1727409502,521.83984375,49.8
1727409502,521.83984375,42.1
1727409502,521.83984375,51.1
1727409502,521.83984375,55.3
1727409503,521.83984375,49.8
1727409503,521.83984375,45.2
1727409503,521.83984375,51.8
1727409503,521.83984375,52.0
1727409505,521.83984375,49.8
1727409505,521.83984375,52.1
1727409505,521.83984375,50.0
1727409505,521.83984375,55.1
1727409507,521.83984375,49.8
1727409507,521.83984375,38.2
1727409507,521.83984375,50.3
1727409507,521.83984375,55.3
1727409508,521.83984375,49.8
1727409508,521.83984375,45.2
1727409508,521.83984375,50.3
1727409508,521.83984375,57.8
1727409510,521.83984375,49.8
1727409510,521.83984375,54.2
1727409510,521.83984375,50.3
1727409510,521.83984375,40.6
1727409512,521.83984375,49.8
1727409512,521.83984375,52.1
1727409512,521.83984375,49.7
1727409512,521.83984375,40.6
1727409513,521.83984375,49.8
1727409513,521.83984375,38.2
1727409513,521.83984375,50.0
1727409513,521.83984375,56.8
1727409515,521.83984375,49.8
1727409515,521.83984375,52.9
1727409515,521.83984375,50.6
1727409515,521.83984375,39.4
1727409517,526.83984375,49.8
1727409517,526.83984375,48.8
1727409517,526.83984375,48.8
1727409517,526.83984375,56.8
1727409519,526.83984375,49.8
1727409519,526.83984375,56.5
1727409519,526.83984375,50.0
1727409519,526.83984375,42.4
1727409520,526.83984375,49.8
1727409520,526.83984375,54.3
1727409520,526.83984375,50.3
1727409520,526.83984375,39.4
1727409522,526.83984375,49.8
1727409522,526.83984375,54.3
1727409522,526.83984375,51.4
1727409522,526.83984375,38.7
1727409523,526.83984375,49.8
1727409523,526.83984375,54.3
1727409523,526.83984375,50.6
1727409523,526.83984375,53.2
1727409529,526.83984375,49.7
1727409529,526.83984375,52.7
1727409529,526.83984375,49.4
1727409529,526.83984375,53.5
1727409530,526.83984375,49.8
1727409530,526.83984375,54.2
1727409530,526.83984375,46.9
1727409530,526.83984375,56.3
1727409532,526.83984375,49.8
1727409532,526.83984375,38.2
1727409532,526.83984375,52.0
1727409532,526.83984375,41.2
1727409534,526.83984375,49.8
1727409534,526.83984375,38.2
1727409534,526.83984375,51.4
1727409534,526.83984375,55.3
1727409535,526.83984375,49.8
1727409535,526.83984375,56.5
1727409535,526.83984375,50.6
1727409535,526.83984375,41.2
1727409537,526.83984375,49.8
1727409537,526.83984375,53.2
1727409537,526.83984375,49.2
1727409537,526.83984375,41.2
1727409539,526.83984375,49.8
1727409539,526.83984375,38.2
1727409539,526.83984375,51.1
1727409539,526.83984375,54.3
1727409540,526.83984375,49.8
1727409540,526.83984375,54.3
1727409540,526.83984375,49.2
1727409540,526.83984375,56.8
1727409542,526.83984375,49.8
1727409542,526.83984375,51.1
1727409542,526.83984375,49.1
1727409542,526.83984375,50.0
1727409544,526.83984375,49.8
1727409544,526.83984375,36.4
1727409544,526.83984375,50.3
1727409544,526.83984375,56.8
1727409545,526.83984375,49.8
1727409545,526.83984375,52.1
1727409545,526.83984375,50.6
1727409545,526.83984375,55.3
1727409547,526.83984375,49.8
1727409547,526.83984375,48.8
1727409547,526.83984375,50.8
1727409547,526.83984375,55.6
1727409549,526.83984375,49.8
1727409549,526.83984375,53.2
1727409549,526.83984375,49.5
1727409549,526.83984375,50.0
1727409550,526.83984375,49.8
1727409550,526.83984375,54.3
1727409550,526.83984375,51.1
1727409550,526.83984375,37.5
1727409552,526.83984375,49.8
1727409552,526.83984375,54.3
1727409552,526.83984375,49.7
1727409552,526.83984375,55.6
1727409554,526.83984375,49.8
1727409554,526.83984375,36.4
1727409554,526.83984375,51.1
1727409554,526.83984375,55.6
1727409555,526.83984375,49.8
1727409555,526.83984375,55.3
1727409555,526.83984375,50.3
1727409555,526.83984375,40.6
1727409557,526.83984375,49.8
1727409557,526.83984375,37.1
1727409557,526.83984375,51.1
1727409557,526.83984375,54.5
1727409559,526.83984375,49.8
1727409559,526.83984375,53.1
1727409559,526.83984375,51.8
1727409559,526.83984375,37.5
1727409560,526.83984375,49.8
1727409560,526.83984375,55.3
1727409560,526.83984375,50.0
1727409560,526.83984375,56.5
1727409562,526.83984375,49.8
1727409562,526.83984375,55.3
1727409562,526.83984375,47.0
1727409562,526.83984375,57.8
1727409564,526.83984375,49.8
1727409564,526.83984375,55.6
1727409564,526.83984375,51.4
1727409564,526.83984375,40.6
1727409565,526.83984375,49.8
1727409565,526.83984375,54.3
1727409565,526.83984375,50.5
1727409565,526.83984375,54.2
1727409567,526.83984375,49.8
1727409567,526.83984375,53.2
1727409567,526.83984375,51.1
1727409567,526.83984375,40.6
1727409569,526.83984375,49.8
1727409569,526.83984375,55.3
1727409569,526.83984375,47.5
1727409569,526.83984375,55.6
1727409571,526.83984375,49.8
1727409571,526.83984375,55.6
1727409571,526.83984375,50.0
1727409571,526.83984375,40.6
1727409572,526.83984375,49.8
1727409572,526.83984375,51.0
1727409572,526.83984375,51.4
1727409572,526.83984375,53.7
1727409574,526.83984375,49.8
1727409574,526.83984375,39.4
1727409574,526.83984375,49.7
1727409574,526.83984375,57.8
1727409576,526.83984375,49.8
1727409576,526.83984375,55.3
1727409576,526.83984375,50.3
1727409576,526.83984375,37.5
1727409577,526.83984375,49.8
1727409577,526.83984375,56.5
1727409577,526.83984375,50.3
1727409577,526.83984375,40.6
1727409579,526.83984375,49.8
1727409579,526.83984375,38.2
1727409579,526.83984375,50.3
1727409579,526.83984375,57.8
1727409581,526.83984375,49.8
1727409581,526.83984375,51.0
1727409581,526.83984375,50.3
1727409581,526.83984375,51.2
1727409582,526.83984375,49.8
1727409582,526.83984375,41.7
1727409582,526.83984375,50.3
1727409582,526.83984375,57.4
1727409584,526.83984375,49.8
1727409584,526.83984375,48.8
1727409584,526.83984375,48.5
1727409584,526.83984375,58.7
1727409586,526.83984375,49.8
1727409586,526.83984375,54.3
1727409586,526.83984375,51.4
1727409586,526.83984375,38.2
1727409587,526.83984375,49.8
1727409587,526.83984375,41.2
1727409587,526.83984375,50.8
1727409587,526.83984375,54.3
1727409589,526.83984375,49.8
1727409589,526.83984375,54.3
1727409589,526.83984375,47.6
1727409589,526.83984375,55.3
1727409591,526.83984375,49.8
1727409591,526.83984375,39.4
1727409591,526.83984375,49.7
1727409591,526.83984375,58.7
1727409592,526.83984375,49.8
1727409592,526.83984375,54.3
1727409592,526.83984375,51.4
1727409592,526.83984375,38.7
1727409594,526.83984375,49.8
1727409594,526.83984375,54.3
1727409594,526.83984375,50.8
1727409594,526.83984375,52.3
1727409596,526.83984375,49.8
1727409596,526.83984375,52.3
1727409596,526.83984375,50.0
1727409596,526.83984375,56.8
1727409597,526.83984375,49.8
1727409597,526.83984375,54.3
1727409597,526.83984375,51.1
1727409597,526.83984375,38.2
1727409599,526.83984375,49.8
1727409599,526.83984375,43.2
1727409599,526.83984375,51.4
1727409599,526.83984375,39.4
1727409601,526.83984375,49.8
1727409601,526.83984375,53.1
1727409601,526.83984375,50.0
1727409601,526.83984375,51.3
1727409602,526.83984375,49.8
1727409602,526.83984375,40.0
1727409602,526.83984375,50.9
1727409602,526.83984375,56.8
1727409604,526.83984375,49.8
1727409604,526.83984375,55.3
1727409604,526.83984375,49.7
1727409604,526.83984375,54.2
1727409606,526.83984375,49.8
1727409606,526.83984375,55.3
1727409606,526.83984375,46.6
1727409606,526.83984375,57.8
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1727409607,526.83984375,54.3
1727409607,526.83984375,46.9
1727409607,526.83984375,57.8
1727409609,526.83984375,49.8
1727409609,526.83984375,53.2
1727409609,526.83984375,50.0
1727409609,526.83984375,38.7
1727409611,526.83984375,49.8
1727409611,526.83984375,54.3
1727409611,526.83984375,49.5
1727409611,526.83984375,54.3
1727409612,526.83984375,49.8
1727409612,526.83984375,54.3
1727409612,526.83984375,50.9
1727409612,526.83984375,40.6
1727409614,526.83984375,49.8
1727409614,526.83984375,55.3
1727409614,526.83984375,47.2
1727409614,526.83984375,57.8
1727409616,526.83984375,49.8
1727409616,526.83984375,38.2
1727409616,526.83984375,51.1
1727409616,526.83984375,40.6
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1727409617,526.83984375,53.2
1727409617,526.83984375,50.9
1727409617,526.83984375,36.8
1727409619,526.83984375,49.8
1727409619,526.83984375,41.2
1727409619,526.83984375,51.1
1727409619,526.83984375,56.8
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1727409621,526.83984375,55.6
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1727409621,526.83984375,35.3
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1727409622,526.83984375,50.3
1727409622,526.83984375,40.6
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1727409624,526.83984375,56.8
1727409626,526.83984375,49.8
1727409626,526.83984375,47.7
1727409626,526.83984375,50.5
1727409626,526.83984375,52.0
1727409627,526.83984375,49.8
1727409627,526.83984375,44.7
1727409627,526.83984375,50.6
1727409627,526.83984375,55.6
1727409629,526.83984375,49.8
1727409629,526.83984375,55.6
1727409629,526.83984375,50.3
1727409629,526.83984375,37.5
1727409631,526.83984375,49.8
1727409631,526.83984375,38.2
1727409631,526.83984375,49.7
1727409631,526.83984375,58.7
1727409632,526.83984375,49.8
1727409632,526.83984375,38.2
1727409632,526.83984375,52.3
1727409632,526.83984375,42.4
1727409634,526.83984375,49.8
1727409634,526.83984375,54.2
1727409634,526.83984375,50.0
1727409634,526.83984375,38.7
1727409636,526.83984375,49.8
1727409636,526.83984375,37.5
1727409636,526.83984375,50.3
1727409636,526.83984375,57.8
1727409637,526.83984375,49.8
1727409637,526.83984375,38.2
1727409637,526.83984375,50.9
1727409637,526.83984375,55.3
1727409639,526.83984375,49.8
1727409639,526.83984375,41.2
1727409639,526.83984375,50.6
1727409639,526.83984375,57.8
1727409641,526.83984375,49.8
1727409641,526.83984375,54.2
1727409641,526.83984375,49.7
1727409641,526.83984375,57.8
1727409642,526.83984375,49.8
1727409642,526.83984375,38.2
1727409642,526.83984375,50.6
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1727409644,526.83984375,49.8
1727409644,526.83984375,53.2
1727409644,526.83984375,50.6
1727409644,526.83984375,39.4
1727409646,526.83984375,49.8
1727409646,526.83984375,52.4
1727409646,526.83984375,50.8
1727409646,526.83984375,37.5
1727409647,526.83984375,49.8
1727409647,526.83984375,56.5
1727409647,526.83984375,50.3
1727409647,526.83984375,41.2
1727409649,526.83984375,49.8
1727409649,526.83984375,54.3
1727409649,526.83984375,48.5
1727409649,526.83984375,51.3
1727409651,526.83984375,49.8
1727409651,526.83984375,43.2
1727409651,526.83984375,50.8
1727409651,526.83984375,53.5
1727409652,526.83984375,49.8
1727409652,526.83984375,55.6
1727409652,526.83984375,49.7
1727409652,526.83984375,56.5
1727409654,526.83984375,49.8
1727409654,526.83984375,37.5
1727409654,526.83984375,50.6
1727409654,526.83984375,55.6
1727409656,526.83984375,49.8
1727409656,526.83984375,54.3
1727409656,526.83984375,50.6
1727409656,526.83984375,41.9
1727409657,526.83984375,49.8
1727409657,526.83984375,55.3
1727409657,526.83984375,49.4
1727409657,526.83984375,40.6
1727409659,526.83984375,49.8
1727409659,526.83984375,56.5
1727409659,526.83984375,47.2
1727409659,526.83984375,56.8
1727409661,526.83984375,49.8
1727409661,526.83984375,58.3
1727409661,526.83984375,49.2
1727409661,526.83984375,44.1
1727409662,526.83984375,49.8
1727409662,526.83984375,54.3
1727409662,526.83984375,51.5
1727409662,526.83984375,41.7
1727409664,526.83984375,49.8
1727409664,526.83984375,53.2
1727409664,526.83984375,50.0
1727409664,526.83984375,37.5
1727409666,526.83984375,49.8
1727409666,526.83984375,36.4
1727409666,526.83984375,50.8
1727409666,526.83984375,53.5
1727409667,526.83984375,49.8
1727409667,526.83984375,42.9
1727409667,526.83984375,51.1
1727409667,526.83984375,51.3
1727409669,526.83984375,49.8
1727409669,526.83984375,37.1
1727409669,526.83984375,50.2
1727409669,526.83984375,58.7
1727409671,526.83984375,49.8
1727409671,526.83984375,54.3
1727409671,526.83984375,50.6
1727409671,526.83984375,38.2
1727409672,526.83984375,49.8
1727409672,526.83984375,38.2
1727409672,526.83984375,51.8
1727409672,526.83984375,37.5
1727409674,526.83984375,49.8
1727409674,526.83984375,55.3
1727409674,526.83984375,48.9
1727409674,526.83984375,57.4
1727409676,526.83984375,49.8
1727409676,526.83984375,55.3
1727409676,526.83984375,51.1
1727409676,526.83984375,39.4
1727409677,526.83984375,49.8
1727409677,526.83984375,38.2
1727409677,526.83984375,50.8
1727409677,526.83984375,55.6
1727409679,526.83984375,49.8
1727409679,526.83984375,38.9
1727409679,526.83984375,50.8
1727409679,526.83984375,51.0
1727409681,526.83984375,49.8
1727409681,526.83984375,53.2
1727409681,526.83984375,49.5
1727409681,526.83984375,51.0
1727409683,526.83984375,49.8
1727409683,526.83984375,37.1
1727409683,526.83984375,51.8
1727409683,526.83984375,39.4
1727409687,526.83984375,49.7
1727409687,526.83984375,37.5
1727409687,526.83984375,50.6
1727409687,526.83984375,58.7
1727409689,526.83984375,49.8
1727409689,526.83984375,38.2
1727409689,526.83984375,50.0
1727409689,526.83984375,54.3
1727409691,526.83984375,49.8
1727409691,526.83984375,38.2
1727409691,526.83984375,49.4
1727409691,526.83984375,57.4
1727409693,526.83984375,49.8
1727409693,526.83984375,41.2
1727409693,526.83984375,50.3
1727409693,526.83984375,55.3
1727409694,526.83984375,49.8
1727409694,526.83984375,55.3
1727409694,526.83984375,49.7
1727409694,526.83984375,38.7
1727409696,526.83984375,49.8
1727409696,526.83984375,38.2
1727409696,526.83984375,51.8
1727409696,526.83984375,39.4
1727409698,526.83984375,49.8
1727409698,526.83984375,48.7
1727409698,526.83984375,50.0
1727409698,526.83984375,53.5
1727409700,526.83984375,49.8
1727409700,526.83984375,54.3
1727409700,526.83984375,50.0
1727409700,526.83984375,58.7
1727409701,526.83984375,49.8
1727409701,526.83984375,54.3
1727409701,526.83984375,50.0
1727409701,526.83984375,47.4
1727409703,526.83984375,49.8
1727409703,526.83984375,54.2
1727409703,526.83984375,49.4
1727409703,526.83984375,39.4
1727409705,526.83984375,49.8
1727409705,526.83984375,41.2
1727409705,526.83984375,51.1
1727409705,526.83984375,56.5
1727409706,526.83984375,49.8
1727409706,526.83984375,53.5
1727409706,526.83984375,50.6
1727409706,526.83984375,41.2
1727409708,526.83984375,49.8
1727409708,526.83984375,42.1
1727409708,526.83984375,49.7
1727409708,526.83984375,57.8
1727409709,526.83984375,49.8
1727409709,526.83984375,53.1
1727409709,526.83984375,47.5
1727409709,526.83984375,57.8
1727409711,526.83984375,49.8
1727409711,526.83984375,53.1
1727409711,526.83984375,46.7
1727409711,526.83984375,54.3
1727409713,526.83984375,49.8
1727409713,526.83984375,55.3
1727409713,526.83984375,47.3
1727409713,526.83984375,54.3
1727409715,526.83984375,49.8
1727409715,526.83984375,53.2
1727409715,526.83984375,49.7
1727409715,526.83984375,57.8
1727409716,526.83984375,49.8
1727409716,526.83984375,56.5
1727409716,526.83984375,51.7
1727409716,526.83984375,36.1
1727409718,526.83984375,49.8
1727409718,526.83984375,36.4
1727409718,526.83984375,52.0
1727409718,526.83984375,52.1
1727409719,526.83984375,49.8
1727409719,526.83984375,55.3
1727409719,526.83984375,50.3
1727409719,526.83984375,42.4
1727409721,526.83984375,49.8
1727409721,526.83984375,55.3
1727409721,526.83984375,50.3
1727409721,526.83984375,48.8
1727409723,526.83984375,49.8
1727409723,526.83984375,54.3
1727409723,526.83984375,50.3
1727409723,526.83984375,56.8
1727409724,526.83984375,49.8
1727409724,526.83984375,56.5
1727409724,526.83984375,49.4
1727409724,526.83984375,45.9
1727409726,526.83984375,49.8
1727409726,526.83984375,50.0
1727409726,526.83984375,51.4
1727409726,526.83984375,37.5
1727409728,526.83984375,49.8
1727409728,526.83984375,55.3
1727409728,526.83984375,50.0
1727409728,526.83984375,40.6
1727409730,526.83984375,49.8
1727409730,526.83984375,36.1
1727409730,526.83984375,50.8
1727409730,526.83984375,48.8
1727409731,526.83984375,49.8
1727409731,526.83984375,54.2
1727409731,526.83984375,49.7
1727409731,526.83984375,58.3
1727409733,526.83984375,49.8
1727409733,526.83984375,53.2
1727409733,526.83984375,52.0
1727409733,526.83984375,40.6
1727409735,526.83984375,49.8
1727409735,526.83984375,38.2
1727409735,526.83984375,52.3
1727409735,526.83984375,40.6
1727409736,526.83984375,49.8
1727409736,526.83984375,54.2
1727409736,526.83984375,49.4
1727409736,526.83984375,55.3
1727409738,526.83984375,49.8
1727409738,526.83984375,54.2
1727409738,526.83984375,47.2
1727409738,526.83984375,54.2
1727409740,526.83984375,49.8
1727409740,526.83984375,38.2
1727409740,526.83984375,50.0
1727409740,526.83984375,56.8
1727409741,526.83984375,49.8
1727409741,526.83984375,55.3
1727409741,526.83984375,49.7
1727409741,526.83984375,54.3
1727409743,526.83984375,49.8
1727409743,526.83984375,52.1
1727409743,526.83984375,50.8
1727409743,526.83984375,36.4
1727409745,526.83984375,49.8
1727409745,526.83984375,55.3
1727409745,526.83984375,51.4
1727409745,526.83984375,37.5
1727409746,526.83984375,49.8
1727409746,526.83984375,54.3
1727409746,526.83984375,50.8
1727409746,526.83984375,37.5
1727409748,526.83984375,49.8
1727409748,526.83984375,37.1
1727409748,526.83984375,51.8
1727409748,526.83984375,53.1
1727409750,526.83984375,49.8
1727409750,526.83984375,58.3
1727409750,526.83984375,50.0
1727409750,526.83984375,42.4
1727409751,526.83984375,49.8
1727409751,526.83984375,38.2
1727409751,526.83984375,49.4
1727409751,526.83984375,58.7
1727409753,526.83984375,49.8
1727409753,526.83984375,35.3
1727409753,526.83984375,50.6
1727409753,526.83984375,55.6
1727409755,526.83984375,49.8
1727409755,526.83984375,40.5
1727409755,526.83984375,52.1
1727409755,526.83984375,38.7
1727409756,526.83984375,49.8
1727409756,526.83984375,54.2
1727409756,526.83984375,47.5
1727409756,526.83984375,57.8
1727409758,526.83984375,49.8
1727409758,526.83984375,36.4
1727409758,526.83984375,50.3
1727409758,526.83984375,56.8
1727409760,526.83984375,49.8
1727409760,526.83984375,55.6
1727409760,526.83984375,47.6
1727409760,526.83984375,55.6
1727409761,526.83984375,49.8
1727409761,526.83984375,54.3
1727409761,526.83984375,48.6
1727409761,526.83984375,50.0
1727409763,526.83984375,49.8
1727409763,526.83984375,55.6
1727409763,526.83984375,47.9
1727409763,526.83984375,56.8
1727409765,526.83984375,49.8
1727409765,526.83984375,55.3
1727409765,526.83984375,50.0
1727409765,526.83984375,39.4
1727409766,526.83984375,49.8
1727409766,526.83984375,54.3
1727409766,526.83984375,47.3
1727409766,526.83984375,56.8
1727409768,526.83984375,49.8
1727409768,526.83984375,54.3
1727409768,526.83984375,50.3
1727409768,526.83984375,55.6
1727409770,526.83984375,49.8
1727409770,526.83984375,41.2
1727409770,526.83984375,50.6
1727409770,526.83984375,56.8
1727409771,526.83984375,49.8
1727409771,526.83984375,54.3
1727409771,526.83984375,47.2
1727409771,526.83984375,58.7
1727409773,526.83984375,49.8
1727409773,526.83984375,53.2
1727409773,526.83984375,50.6
1727409773,526.83984375,40.6
1727409775,526.83984375,49.8
1727409775,526.83984375,40.0
1727409775,526.83984375,49.7
1727409775,526.83984375,56.5
1727409776,526.83984375,49.8
1727409776,526.83984375,41.2
1727409776,526.83984375,52.0
1727409776,526.83984375,39.4
1727409778,526.83984375,49.8
1727409778,526.83984375,37.5
1727409778,526.83984375,51.4
1727409778,526.83984375,55.6
1727409780,526.83984375,49.8
1727409780,526.83984375,52.2
1727409780,526.83984375,50.6
1727409780,526.83984375,40.6
1727409781,526.83984375,49.8
1727409781,526.83984375,54.3
1727409781,526.83984375,49.3
1727409781,526.83984375,42.4
1727409783,526.83984375,49.8
1727409783,526.83984375,54.3
1727409783,526.83984375,50.8
1727409783,526.83984375,37.5
1727409785,526.83984375,49.8
1727409785,526.83984375,52.3
1727409785,526.83984375,51.4
1727409785,526.83984375,38.7
1727409786,526.83984375,49.8
1727409786,526.83984375,53.1
1727409786,526.83984375,50.0
1727409786,526.83984375,40.6
1727409788,526.83984375,49.8
1727409788,526.83984375,55.6
1727409788,526.83984375,50.3
1727409788,526.83984375,52.4
1727409790,526.83984375,49.8
1727409790,526.83984375,55.3
1727409790,526.83984375,48.8
1727409790,526.83984375,48.7
1727409791,526.83984375,49.8
1727409791,526.83984375,52.1
1727409791,526.83984375,50.0
1727409791,526.83984375,55.6
1727409793,526.83984375,49.8
1727409793,526.83984375,43.9
1727409793,526.83984375,50.0
1727409793,526.83984375,54.3
1727409795,526.83984375,49.9
1727409795,526.83984375,47.6
1727409795,526.83984375,50.9
1727409795,526.83984375,37.5
1727409796,526.83984375,49.8
1727409796,526.83984375,55.1
1727409796,526.83984375,50.3
1727409796,526.83984375,37.5
1727409798,526.83984375,49.8
1727409798,526.83984375,36.4
1727409798,526.83984375,51.1
1727409798,526.83984375,55.6
1727409800,526.83984375,49.8
1727409800,526.83984375,38.2
1727409800,526.83984375,49.4
1727409800,526.83984375,57.4
1727409801,526.83984375,49.8
1727409801,526.83984375,54.3
1727409801,526.83984375,51.0
1727409801,526.83984375,49.0
1727409803,526.83984375,49.8
1727409803,526.83984375,53.1
1727409803,526.83984375,49.2
1727409803,526.83984375,54.3
1727409805,526.83984375,49.8
1727409805,526.83984375,39.4
1727409805,526.83984375,52.0
1727409805,526.83984375,38.7
1727409806,526.83984375,49.8
1727409806,526.83984375,54.2
1727409806,526.83984375,50.3
1727409806,526.83984375,38.7
1727409808,526.83984375,49.8
1727409808,526.83984375,50.0
1727409808,526.83984375,50.3
1727409808,526.83984375,54.3
1727409810,526.83984375,49.8
1727409810,526.83984375,45.2
1727409810,526.83984375,49.4
1727409810,526.83984375,56.5
1727409811,526.83984375,49.8
1727409811,526.83984375,36.4
1727409811,526.83984375,49.7
1727409811,526.83984375,54.8
1727409813,526.83984375,49.8
1727409813,526.83984375,46.4
1727409813,526.83984375,51.2
1727409813,526.83984375,50.0
1727409815,526.83984375,49.8
1727409815,526.83984375,45.0
1727409815,526.83984375,51.1
1727409815,526.83984375,47.4
1727409816,526.83984375,49.8
1727409816,526.83984375,55.3
1727409816,526.83984375,50.0
1727409816,526.83984375,57.4
1727409818,526.83984375,49.8
1727409818,526.83984375,38.5
1727409818,526.83984375,50.3
1727409818,526.83984375,56.8
1727409820,526.83984375,49.8
1727409820,526.83984375,38.2
1727409820,526.83984375,51.1
1727409820,526.83984375,42.4
1727409821,526.83984375,49.8
1727409821,526.83984375,53.2
1727409821,526.83984375,48.8
1727409821,526.83984375,51.2
1727409823,526.83984375,49.8
1727409823,526.83984375,46.3
1727409823,526.83984375,51.3
1727409823,526.83984375,40.6
1727409825,526.83984375,49.8
1727409825,526.83984375,54.3
1727409825,526.83984375,48.2
1727409825,526.83984375,51.2
1727409826,526.83984375,49.8
1727409826,526.83984375,54.3
1727409826,526.83984375,49.7
1727409826,526.83984375,54.2
1727409828,526.83984375,49.8
1727409828,526.83984375,37.5
1727409828,526.83984375,50.6
1727409828,526.83984375,53.2
1727409830,526.83984375,49.8
1727409830,526.83984375,34.4
1727409830,526.83984375,50.6
1727409830,526.83984375,54.3
1727409831,526.83984375,49.8
1727409831,526.83984375,54.2
1727409831,526.83984375,49.7
1727409831,526.83984375,55.6
1727409833,526.83984375,49.8
1727409833,526.83984375,36.4
1727409833,526.83984375,50.3
1727409833,526.83984375,58.1
1727409835,526.83984375,49.8
1727409835,526.83984375,43.6
1727409835,526.83984375,50.0
1727409835,526.83984375,55.6
1727409836,526.83984375,49.8
1727409836,526.83984375,43.6
1727409836,526.83984375,51.9
1727409836,526.83984375,42.4
1727409838,526.83984375,49.8
1727409838,526.83984375,53.2
1727409838,526.83984375,50.6
1727409838,526.83984375,39.4
1727409840,526.83984375,49.8
1727409840,526.83984375,54.3
1727409840,526.83984375,49.5
1727409840,526.83984375,42.4
1727409841,526.83984375,49.8
1727409841,526.83984375,54.3
1727409841,526.83984375,48.0
1727409841,526.83984375,53.7
1727409843,526.83984375,49.8
1727409843,526.83984375,37.1
1727409843,526.83984375,50.6
1727409843,526.83984375,55.6
1727409845,526.83984375,49.8
1727409845,526.83984375,40.0
1727409845,526.83984375,50.9
1727409845,526.83984375,57.8
1727409846,526.83984375,49.8
1727409846,526.83984375,36.4
1727409846,526.83984375,50.3
1727409846,526.83984375,56.5
1727409848,526.83984375,49.8
1727409848,526.83984375,47.4
1727409848,526.83984375,49.4
1727409848,526.83984375,56.5
1727409850,526.83984375,49.8
1727409850,526.83984375,54.3
1727409850,526.83984375,49.7
1727409850,526.83984375,57.4
1727409851,526.83984375,49.8
1727409851,526.83984375,44.4
1727409851,526.83984375,50.8
1727409851,526.83984375,42.4
1727409853,526.83984375,49.8
1727409853,526.83984375,55.3
1727409853,526.83984375,50.6
1727409853,526.83984375,51.2
1727409855,526.83984375,49.8
1727409855,526.83984375,55.3
1727409855,526.83984375,50.8
1727409855,526.83984375,38.7
1727409856,526.83984375,49.8
1727409856,526.83984375,36.1
1727409856,526.83984375,50.6
1727409856,526.83984375,55.6
1727409858,526.83984375,49.8
1727409858,526.83984375,46.2
1727409858,526.83984375,50.6
1727409858,526.83984375,55.3
1727409860,526.83984375,49.8
1727409860,526.83984375,39.4
1727409860,526.83984375,50.3
1727409860,526.83984375,55.3
1727409861,526.83984375,49.8
1727409861,526.83984375,38.2
1727409862,526.83984375,50.0
1727409862,526.83984375,56.8
1727409863,526.83984375,49.8
1727409863,526.83984375,55.3
1727409863,526.83984375,50.3
1727409863,526.83984375,44.4
1727409865,526.83984375,49.8
1727409865,526.83984375,50.0
1727409865,526.83984375,49.5
1727409865,526.83984375,55.6
1727409866,526.83984375,49.8
1727409866,526.83984375,40.0
1727409866,526.83984375,52.8
1727409866,526.83984375,37.5
1727409868,526.83984375,49.8
1727409868,526.83984375,42.1
1727409868,526.83984375,50.8
1727409868,526.83984375,48.7
1727409870,526.83984375,49.8
1727409870,526.83984375,55.3
1727409870,526.83984375,50.7
1727409870,526.83984375,36.4
1727409872,526.83984375,49.8
1727409872,526.83984375,52.1
1727409872,526.83984375,50.3
1727409872,526.83984375,53.2
1727409873,530.125,49.8
1727409873,530.125,38.2
1727409873,530.125,52.3
1727409873,530.125,40.6
1727409875,530.125,49.8
1727409875,530.125,36.1
1727409875,530.125,50.8
1727409875,530.125,55.6
1727409877,530.125,49.8
1727409877,530.125,47.5
1727409877,530.125,52.1
1727409877,530.125,39.4
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1727409922,530.765625,55.6
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1727409940,530.828125,56.8
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1727409942,530.828125,53.2
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1727409955,530.828125,58.7
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1727410070,534.015625,57.8
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1727410077,534.015625,48.7
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1727410079,534.078125,33.3
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1727410084,534.078125,50.9
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1727421387,464.60546875,50.6
1727421387,464.60546875,41.2
1727421398,464.6015625,50.0
1727421398,464.6015625,47.5
1727421398,464.6015625,50.2
1727421398,464.6015625,39.4
1727421408,465.60546875,50.0
1727421408,465.60546875,55.3
1727421408,465.60546875,50.1
1727421408,465.60546875,55.6
1727421419,465.60546875,50.0
1727421419,465.60546875,54.3
1727421419,465.60546875,50.0
1727421419,465.60546875,39.4
1727421429,464.6015625,50.0
1727421429,464.6015625,46.2
1727421429,464.6015625,49.8
1727421429,464.6015625,56.8
1727421440,464.6015625,50.0
1727421440,464.6015625,35.3
1727421440,464.6015625,51.3
1727421440,464.6015625,37.5
1727421450,464.6015625,50.0
1727421450,464.6015625,56.5
1727421450,464.6015625,49.7
1727421450,464.6015625,40.6
1727421461,464.6015625,50.0
1727421461,464.6015625,36.4
1727421461,464.6015625,51.2
1727421461,464.6015625,38.7
1727421471,464.6015625,50.0
1727421471,464.6015625,53.1
1727421471,464.6015625,49.6
1727421471,464.6015625,51.2
1727421482,464.6015625,50.0
1727421482,464.6015625,38.2
1727421482,464.6015625,50.7
1727421482,464.6015625,44.4
1727421492,465.60546875,50.0
1727421492,465.60546875,36.4
1727421492,465.60546875,51.1
1727421492,465.60546875,40.6
1727421503,464.6015625,50.0
1727421503,464.6015625,37.5
1727421503,464.6015625,50.3
1727421503,464.6015625,54.8
1727421513,464.6015625,50.0
1727421513,464.6015625,55.6
1727421513,464.6015625,49.3
1727421513,464.6015625,56.8
1727421523,464.6015625,50.0
1727421523,464.6015625,38.2
1727421523,464.6015625,49.9
1727421523,464.6015625,57.8
1727422299,511.3203125,50.2
1727422299,511.3203125,53.2
1727422299,511.3203125,49.7
1727422299,511.3203125,57.1
1727422994,502.703125,50.2
1727422994,502.703125,38.2
1727422994,502.703125,50.4
1727422994,502.703125,41.2
1727423834,498.74609375,50.2
1727423834,498.74609375,38.9
1727423834,498.74609375,50.2
1727423834,498.74609375,55.6
1727424692,497.29296875,50.2
1727424692,497.29296875,51.0
1727424692,497.29296875,49.6
1727424692,497.29296875,56.8
1727425532,502.515625,50.2
1727425532,502.515625,38.9
1727425532,502.515625,50.6
1727425532,502.515625,54.2
1727426813,523.859375,50.3
1727426813,523.859375,56.5
1727426813,523.859375,49.2
1727426813,523.859375,56.5
1727427715,498.39453125,50.2
1727427715,498.39453125,54.3
1727427716,498.39453125,50.1
1727427716,498.39453125,53.5
1727428672,474.05078125,50.2
1727428672,474.05078125,37.1
1727428672,474.05078125,50.6
1727428672,474.05078125,40.6
1727429768,551.9453125,50.2
1727429768,551.9453125,57.1
1727429768,551.9453125,49.3
1727429768,551.9453125,53.5
1727430846,643.72265625,50.2
1727430846,643.72265625,56.3
1727430846,643.72265625,49.2
1727430846,643.72265625,56.8
1727432112,524.984375,50.2
1727432112,524.9921875,55.3
1727432112,524.9921875,50.4
1727432112,524.9921875,40.6
1727434290,532.74609375,50.4
1727434290,532.74609375,51.0
1727434290,532.74609375,50.2
1727434290,532.74609375,39.4
1727435639,494.859375,50.3
1727435639,494.859375,54.2
1727435639,494.859375,49.8
1727435639,494.859375,46.3
1727436962,546.1640625,50.2
1727436962,546.1640625,54.3
1727436962,546.1640625,49.4
1727436962,546.1640625,56.8
1727439508,550.98046875,50.3
1727439508,550.98046875,52.1
1727439508,550.98046875,49.5
1727439508,550.98046875,56.5
1727442361,565.9921875,50.4
1727442361,565.9921875,56.3
1727442384,566.00390625,49.7
1727442384,566.00390625,36.4
</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>