| n_samples | n_permutations | update_interval | n_consecutive_dev… | result |
|---|---|---|---|---|
| 147 | 22 | 146 | 4 | 0.272772 |
| Name | Type | Lower bound | Upper bound | Values | Type |
|---|---|---|---|---|---|
| n_samples | range | 100 | 1000 | int | |
| n_permutations | range | 10 | 50 | int | |
| update_interval | range | 50 | 250 | int | |
| n_consecutive_deviations | range | 1 | 5 | int |
| Failed | Succeeded | Running | Total |
|---|---|---|---|
| 0 | 492 | 16 | 508 |
trial_index,arm_name,trial_status,generation_method,result,n_samples,n_permutations,update_interval,n_consecutive_deviations 0,0_0,COMPLETED,Sobol,0.282299812754708723261387603998,479,19,144,3 1,1_0,COMPLETED,Sobol,0.290230201564048884144142448349,473,19,180,5 2,2_0,COMPLETED,Sobol,0.292102654477365386576082073589,964,14,131,5 3,3_0,COMPLETED,Sobol,0.290230201564048884144142448349,406,20,147,5 4,4_0,COMPLETED,Sobol,0.292763520211477001886635207484,280,49,225,5 5,5_0,COMPLETED,Sobol,0.281694019165106279700694358326,321,24,112,5 6,6_0,COMPLETED,Sobol,0.296233065315563370845097779238,399,14,212,5 7,7_0,COMPLETED,Sobol,0.310717039321511179217338849412,981,18,52,1 8,8_0,COMPLETED,Sobol,0.286044718581341506080661929445,286,24,81,4 9,9_0,COMPLETED,Sobol,0.290946139442669893249160395499,595,13,174,2 10,10_0,COMPLETED,Sobol,0.299206961119065972809494269313,234,31,238,4 11,11_0,COMPLETED,Sobol,0.299977971142196264686674567201,383,14,242,4 12,12_0,COMPLETED,Sobol,0.286265007159378748191613794916,729,39,171,1 13,13_0,COMPLETED,Sobol,0.289624407974446551605751665193,638,18,195,3 14,14_0,COMPLETED,Sobol,0.295021478136358594746013750409,719,32,61,5 15,15_0,COMPLETED,Sobol,0.284502698535080922326301333669,879,20,109,3 16,16_0,COMPLETED,Sobol,0.292322943055402628687033939059,348,29,219,5 17,17_0,COMPLETED,Sobol,0.303667804824319875756089004426,728,44,59,1 18,18_0,COMPLETED,Sobol,0.288853397951316259728571367305,986,18,127,3 19,19_0,COMPLETED,Sobol,0.284667914968608881665090848401,445,27,148,1 20,20_0,COMPLETED,BoTorch,0.280923009141975987823514060437,478,25,118,3 21,21_0,COMPLETED,BoTorch,0.282024452032162087355970925273,533,35,133,3 22,22_0,COMPLETED,BoTorch,0.289238902962881350156010284991,431,15,112,4 23,23_0,COMPLETED,BoTorch,0.290120057275030318599817746872,206,28,121,3 24,24_0,COMPLETED,BoTorch,0.288798325806806865934106554050,557,31,111,4 25,25_0,COMPLETED,BoTorch,0.289899768696993076488865881402,431,15,117,3 26,26_0,COMPLETED,BoTorch,0.286595440026434666869192824379,165,13,99,5 27,27_0,COMPLETED,BoTorch,0.288467892939751058278829987103,279,40,109,5 28,28_0,COMPLETED,BoTorch,0.278995484084150202619412084459,350,39,158,3 29,29_0,COMPLETED,BoTorch,0.286099790725850899875126742700,611,27,128,2 30,30_0,COMPLETED,BoTorch,0.292378015199911911459196289798,576,22,106,4 31,31_0,COMPLETED,BoTorch,0.284612842824099598892928497662,673,37,122,3 32,32_0,COMPLETED,BoTorch,0.288908470095825542500733718043,198,18,117,3 33,33_0,COMPLETED,BoTorch,0.281694019165106279700694358326,307,34,128,3 34,34_0,COMPLETED,BoTorch,0.291772221610309467898503044125,428,21,111,3 35,35_0,COMPLETED,BoTorch,0.291001211587179176021322746237,425,38,121,3 36,36_0,COMPLETED,BoTorch,0.278609979072585112191973166773,141,33,112,4 37,37_0,COMPLETED,BoTorch,0.284833131402136841003880363132,557,14,122,2 38,38_0,COMPLETED,BoTorch,0.290450490142086126255094313819,611,24,126,3 39,39_0,COMPLETED,BoTorch,0.287751955061130049173812039953,612,32,119,4 40,40_0,COMPLETED,BoTorch,0.284502698535080922326301333669,465,36,157,3 41,41_0,COMPLETED,BoTorch,0.287807027205639442968276853207,444,40,158,2 42,42_0,COMPLETED,BoTorch,0.275140433968498743233510595019,493,47,168,3 43,43_0,COMPLETED,BoTorch,0.290230201564048884144142448349,432,31,151,3 44,44_0,COMPLETED,BoTorch,0.286815728604471908980144689849,381,50,167,2 45,45_0,COMPLETED,BoTorch,0.289844696552483793716703530663,557,34,160,3 46,46_0,COMPLETED,BoTorch,0.289293975107390632928172635729,420,43,155,4 47,47_0,COMPLETED,BoTorch,0.288247604361713816167878121632,401,43,142,3 48,48_0,COMPLETED,BoTorch,0.294415684546756262207622967253,659,47,175,3 49,49_0,COMPLETED,BoTorch,0.287201233616036999407583607535,418,33,150,2 50,50_0,COMPLETED,BoTorch,0.279986782685317736607544247818,368,34,170,2 51,51_0,COMPLETED,BoTorch,0.282520101332745854350037006952,479,36,164,2 52,52_0,COMPLETED,BoTorch,0.282685317766273813688826521684,100,50,169,3 53,53_0,COMPLETED,BoTorch,0.290615706575614085593883828551,100,35,131,5 54,54_0,COMPLETED,BoTorch,0.290120057275030318599817746872,932,50,161,3 55,55_0,COMPLETED,BoTorch,0.284612842824099598892928497662,100,44,141,4 56,56_0,COMPLETED,BoTorch,0.294470756691265544979785317992,100,32,95,5 57,57_0,COMPLETED,BoTorch,0.276241876858684842765967459854,851,50,148,2 58,58_0,COMPLETED,BoTorch,0.295902632448507563189821212291,408,50,180,3 59,59_0,COMPLETED,BoTorch,0.288137460072695250623553420155,754,50,169,4 60,60_0,COMPLETED,BoTorch,0.292212798766383952120406775066,100,50,112,4 61,61_0,COMPLETED,BoTorch,0.287036017182509040068794092804,1000,32,158,2 62,62_0,COMPLETED,BoTorch,0.290946139442669893249160395499,100,50,155,5 63,63_0,COMPLETED,BoTorch,0.287917171494658008512601554685,100,27,122,5 64,64_0,COMPLETED,BoTorch,0.275140433968498743233510595019,679,50,161,3 65,65_0,COMPLETED,BoTorch,0.291111355876197852587949910230,563,50,196,2 66,66_0,COMPLETED,BoTorch,0.283566472078422782132633983565,1000,44,152,2 67,67_0,COMPLETED,BoTorch,0.297995373939861196710410240485,100,27,67,5 68,68_0,COMPLETED,BoTorch,0.279215772662187444730363949930,713,50,143,1 69,69_0,COMPLETED,BoTorch,0.285438924991739173542271146289,100,39,156,2 70,70_0,COMPLETED,BoTorch,0.285989646436832223308499578707,100,28,157,3 71,71_0,COMPLETED,BoTorch,0.289404119396409309494799799722,582,50,140,2 72,72_0,COMPLETED,BoTorch,0.285549069280757739086595847766,1000,50,130,2 73,73_0,COMPLETED,BoTorch,0.283346183500385540021682118095,100,32,169,1 74,74_0,COMPLETED,BoTorch,0.286595440026434666869192824379,1000,50,144,1 75,75_0,COMPLETED,BoTorch,0.286209935014869465419451444177,264,50,147,1 76,76_0,COMPLETED,BoTorch,0.291607005176781619582015991909,449,49,138,1 77,77_0,COMPLETED,BoTorch,0.291331644454235094698901775701,100,41,129,1 78,78_0,COMPLETED,BoTorch,0.287696882916620766401649689215,730,48,134,1 79,79_0,COMPLETED,BoTorch,0.286209935014869465419451444177,100,29,152,1 80,80_0,COMPLETED,BoTorch,0.281253442009031795478790627385,714,32,144,1 81,81_0,COMPLETED,BoTorch,0.274534640378896299672817349347,127,50,140,2 82,82_0,COMPLETED,BoTorch,0.277563608326908295431678652676,667,50,157,1 83,83_0,COMPLETED,BoTorch,0.278830267650622354302925032243,713,42,150,2 84,84_0,COMPLETED,BoTorch,0.286375151448397424758240958909,1000,30,144,1 85,85_0,COMPLETED,BoTorch,0.285879502147813657764174877229,1000,50,140,3 86,86_0,COMPLETED,BoTorch,0.289404119396409309494799799722,175,10,155,1 87,87_0,COMPLETED,BoTorch,0.282024452032162087355970925273,654,50,148,3 88,88_0,COMPLETED,BoTorch,0.279986782685317736607544247818,892,50,160,1 89,89_0,COMPLETED,BoTorch,0.290946139442669893249160395499,595,50,153,2 90,90_0,COMPLETED,BoTorch,0.293589602379116687558280318626,189,50,165,1 91,91_0,COMPLETED,BoTorch,0.300198259720233506797626432672,100,20,180,1 92,92_0,COMPLETED,BoTorch,0.290009912986011642033190582879,100,34,175,2 93,93_0,COMPLETED,BoTorch,0.301024341887873081446969081298,100,50,181,1 94,94_0,COMPLETED,BoTorch,0.284778059257627447209415549878,370,50,156,1 95,95_0,COMPLETED,BoTorch,0.289018614384844108045058419521,961,38,138,2 96,96_0,COMPLETED,BoTorch,0.292928736645004961225424722215,763,41,152,1 97,97_0,COMPLETED,BoTorch,0.282905606344311055799778387154,300,50,151,3 98,98_0,COMPLETED,BoTorch,0.294140323824209737324508751044,791,50,158,2 99,99_0,COMPLETED,BoTorch,0.289679480118955834377914015931,802,40,141,2 100,100_0,COMPLETED,BoTorch,0.289404119396409309494799799722,767,31,150,2 101,101_0,COMPLETED,BoTorch,0.276241876858684842765967459854,886,10,146,1 102,102_0,COMPLETED,BoTorch,0.273928846789293967134426566190,873,15,152,2 103,103_0,COMPLETED,BoTorch,0.287146161471527716635421256797,964,50,158,2 104,104_0,COMPLETED,BoTorch,0.285438924991739173542271146289,100,50,144,3 105,105_0,COMPLETED,BoTorch,0.292102654477365386576082073589,788,41,157,1 106,106_0,COMPLETED,BoTorch,0.286980945037999757296631742065,100,10,133,4 107,107_0,COMPLETED,BoTorch,0.291827293754818861692967857380,778,45,156,2 108,108_0,COMPLETED,BoTorch,0.287531666483092807062860174483,100,50,151,3 109,109_0,COMPLETED,BoTorch,0.291276572309725700904436962446,1000,50,175,1 110,110_0,COMPLETED,BoTorch,0.283566472078422782132633983565,100,37,144,3 111,111_0,COMPLETED,BoTorch,0.289899768696993076488865881402,803,50,151,1 112,112_0,COMPLETED,BoTorch,0.281308514153541189273255440639,100,11,153,3 113,113_0,COMPLETED,BoTorch,0.278499834783566435625346002780,708,20,145,1 114,114_0,RUNNING,BoTorch,,1000,10,140,2 115,115_0,COMPLETED,BoTorch,0.283401255644894822793844468833,1000,10,158,1 116,116_0,COMPLETED,BoTorch,0.282244740610199329466922790743,673,10,148,2 117,117_0,COMPLETED,BoTorch,0.284117193523515831898862415983,1000,10,140,1 118,118_0,COMPLETED,BoTorch,0.281363586298050472045417791378,697,10,141,1 119,119_0,COMPLETED,BoTorch,0.282465029188236571577874656214,1000,10,155,2 120,120_0,COMPLETED,BoTorch,0.291221500165216418132274611708,772,11,142,1 121,121_0,COMPLETED,BoTorch,0.289349047251900026722637448984,950,10,158,3 122,122_0,COMPLETED,BoTorch,0.290009912986011642033190582879,627,10,142,2 123,123_0,COMPLETED,BoTorch,0.290946139442669893249160395499,757,14,158,1 124,124_0,COMPLETED,BoTorch,0.283346183500385540021682118095,1000,10,150,1 125,125_0,COMPLETED,BoTorch,0.287201233616036999407583607535,1000,10,145,3 126,126_0,COMPLETED,BoTorch,0.289789624407974399922238717409,806,12,149,3 127,127_0,COMPLETED,BoTorch,0.284007049234497155332235251990,1000,10,152,1 128,128_0,COMPLETED,BoTorch,0.279821566251789888291057195602,842,10,158,1 129,129_0,COMPLETED,BoTorch,0.289734552263465117150076366670,785,10,149,3 130,130_0,COMPLETED,BoTorch,0.283676616367441347676958685042,632,10,147,1 131,131_0,COMPLETED,BoTorch,0.274534640378896299672817349347,141,22,143,2 132,132_0,COMPLETED,BoTorch,0.287201233616036999407583607535,1000,10,133,1 133,133_0,COMPLETED,BoTorch,0.289404119396409309494799799722,616,50,134,4 134,134_0,COMPLETED,BoTorch,0.285163564269192648659156930080,1000,22,145,2 135,135_0,COMPLETED,BoTorch,0.288082387928185967851391069416,100,26,139,3 136,136_0,COMPLETED,BoTorch,0.289349047251900026722637448984,948,50,152,5 137,137_0,COMPLETED,BoTorch,0.286705584315453232413517525856,1000,50,122,5 138,138_0,COMPLETED,BoTorch,0.287036017182509040068794092804,100,34,140,2 139,139_0,COMPLETED,BoTorch,0.278004185482982668631279921101,123,10,132,2 140,140_0,COMPLETED,BoTorch,0.280207071263354978718496113288,330,50,139,3 141,141_0,COMPLETED,BoTorch,0.286209935014869465419451444177,100,27,139,2 142,142_0,COMPLETED,BoTorch,0.286595440026434666869192824379,1000,21,133,1 143,143_0,COMPLETED,BoTorch,0.279105628373168879186039248452,856,10,124,1 144,144_0,COMPLETED,BoTorch,0.286540367881925273074728011125,108,10,105,2 145,145_0,COMPLETED,BoTorch,0.294691045269302787090737183462,1000,10,179,1 146,146_0,COMPLETED,BoTorch,0.278499834783566435625346002780,321,10,134,1 147,147_0,COMPLETED,BoTorch,0.288467892939751058278829987103,100,10,126,1 148,148_0,COMPLETED,BoTorch,0.282024452032162087355970925273,268,10,142,2 149,149_0,COMPLETED,BoTorch,0.282740389910783096460988872423,273,10,139,1 150,150_0,COMPLETED,BoTorch,0.288192532217204533395715770894,100,19,135,1 151,151_0,COMPLETED,BoTorch,0.289569335829937268833589314454,100,10,138,3 152,152_0,COMPLETED,BoTorch,0.286760656459962515185679876595,100,10,137,1 153,153_0,COMPLETED,BoTorch,0.277618680471417578203841003415,324,10,151,2 154,154_0,COMPLETED,BoTorch,0.284612842824099598892928497662,374,22,143,2 155,155_0,COMPLETED,BoTorch,0.287751955061130049173812039953,1000,21,156,1 156,156_0,COMPLETED,BoTorch,0.291662077321290902354178342648,100,10,101,1 157,157_0,COMPLETED,BoTorch,0.291551933032272225787551178655,100,10,110,2 158,158_0,COMPLETED,BoTorch,0.287862099350148725740439203946,460,19,152,2 159,159_0,COMPLETED,BoTorch,0.287917171494658008512601554685,1000,50,91,5 160,160_0,COMPLETED,BoTorch,0.286154862870360182647289093438,100,10,139,2 161,161_0,COMPLETED,BoTorch,0.283621544222932064904796334304,477,10,142,2 162,162_0,COMPLETED,BoTorch,0.277563608326908295431678652676,535,10,138,1 163,163_0,COMPLETED,BoTorch,0.289844696552483793716703530663,576,10,133,1 164,164_0,COMPLETED,BoTorch,0.281198369864522512706628276646,541,18,141,1 165,165_0,COMPLETED,BoTorch,0.289128758673862784611685583513,100,10,152,2 166,166_0,COMPLETED,BoTorch,0.281473730587069037589742492855,476,10,149,1 167,167_0,COMPLETED,BoTorch,0.293314241656570051652863639902,221,20,151,2 168,168_0,COMPLETED,BoTorch,0.279270844806696727502526300668,486,10,139,2 169,169_0,RUNNING,BoTorch,,761,10,133,1 170,170_0,COMPLETED,BoTorch,0.290560634431104691799419015297,585,19,142,2 171,171_0,COMPLETED,BoTorch,0.282299812754708723261387603998,665,22,131,1 172,172_0,COMPLETED,BoTorch,0.289569335829937268833589314454,424,50,130,3 173,173_0,COMPLETED,BoTorch,0.286650512170943949641355175117,1000,50,104,5 174,174_0,COMPLETED,BoTorch,0.275360722546535985344462460489,148,46,162,4 175,175_0,COMPLETED,BoTorch,0.286980945037999757296631742065,1000,10,108,1 176,176_0,COMPLETED,BoTorch,0.277067959026324528437612570997,694,10,137,1 177,177_0,COMPLETED,BoTorch,0.285824430003304374992012526491,323,50,159,4 178,178_0,COMPLETED,BoTorch,0.284778059257627447209415549878,376,29,136,1 179,179_0,COMPLETED,BoTorch,0.288192532217204533395715770894,1000,50,118,2 180,180_0,COMPLETED,BoTorch,0.289679480118955834377914015931,100,27,158,4 181,181_0,COMPLETED,BoTorch,0.284062121379006549126700065244,1000,22,120,1 182,182_0,COMPLETED,BoTorch,0.290670778720123368366046179290,100,50,177,5 183,183_0,COMPLETED,BoTorch,0.284392554246062356781976632192,100,50,165,5 184,184_0,COMPLETED,BoTorch,0.290560634431104691799419015297,100,50,160,3 185,185_0,RUNNING,BoTorch,,733,10,135,2 186,186_0,COMPLETED,BoTorch,0.277838969049454820314792868885,507,50,129,5 187,187_0,COMPLETED,BoTorch,0.286209935014869465419451444177,100,10,146,5 188,188_0,COMPLETED,BoTorch,0.286375151448397424758240958909,100,50,157,4 189,189_0,COMPLETED,BoTorch,0.289844696552483793716703530663,745,20,115,1 190,190_0,COMPLETED,BoTorch,0.279436061240224686841315815400,157,50,162,4 191,191_0,COMPLETED,BoTorch,0.287366450049564958746373122267,535,10,127,1 192,192_0,COMPLETED,BoTorch,0.282244740610199329466922790743,161,38,155,3 193,193_0,COMPLETED,BoTorch,0.283401255644894822793844468833,368,50,140,5 194,194_0,COMPLETED,BoTorch,0.273873774644784684362264215451,141,50,131,5 195,195_0,RUNNING,BoTorch,,601,37,131,1 196,196_0,COMPLETED,BoTorch,0.286154862870360182647289093438,395,50,143,4 197,197_0,COMPLETED,BoTorch,0.275305650402026702572300109750,519,50,157,4 198,198_0,COMPLETED,BoTorch,0.288192532217204533395715770894,100,50,130,2 199,199_0,COMPLETED,BoTorch,0.285989646436832223308499578707,1000,38,135,5 200,200_0,COMPLETED,BoTorch,0.286650512170943949641355175117,100,40,144,1 201,201_0,RUNNING,BoTorch,,560,50,146,4 202,202_0,COMPLETED,BoTorch,0.287972243639167291284763905423,203,50,117,5 203,203_0,COMPLETED,BoTorch,0.286540367881925273074728011125,100,50,135,3 204,204_0,COMPLETED,BoTorch,0.289073686529353501839523232775,555,50,117,1 205,205_0,COMPLETED,BoTorch,0.280041854829827019379706598556,467,50,151,5 206,206_0,COMPLETED,BoTorch,0.280812864852957422279189358960,100,50,142,5 207,207_0,COMPLETED,BoTorch,0.290175129419539601371980097611,244,50,137,5 208,208_0,COMPLETED,BoTorch,0.280592576274920180168237493490,649,50,163,5 209,209_0,RUNNING,BoTorch,,458,40,136,5 210,210_0,COMPLETED,BoTorch,0.282630245621764530916664170945,321,50,136,5 211,211_0,COMPLETED,BoTorch,0.288798325806806865934106554050,626,50,143,5 212,212_0,COMPLETED,BoTorch,0.280978081286485270595676411176,302,50,147,4 213,213_0,COMPLETED,BoTorch,0.285714285714285698425385362498,1000,34,124,1 214,214_0,COMPLETED,BoTorch,0.287311377905055675974210771528,1000,50,110,1 215,215_0,COMPLETED,BoTorch,0.291441788743253660243226477178,209,50,143,5 216,216_0,COMPLETED,BoTorch,0.286154862870360182647289093438,623,38,156,5 217,217_0,COMPLETED,BoTorch,0.288578037228769734845457151096,993,50,138,4 218,218_0,COMPLETED,BoTorch,0.284943275691155406548205064610,389,50,157,5 219,219_0,COMPLETED,BoTorch,0.293644674523625970330442669365,401,50,170,5 220,220_0,COMPLETED,BoTorch,0.284227337812534397443187117460,100,39,152,5 221,221_0,COMPLETED,BoTorch,0.292598303777949153570148155268,427,50,155,4 222,222_0,COMPLETED,BoTorch,0.288853397951316259728571367305,433,50,154,3 223,223_0,COMPLETED,BoTorch,0.287751955061130049173812039953,1000,50,179,5 224,224_0,COMPLETED,BoTorch,0.291827293754818861692967857380,774,44,174,5 225,225_0,COMPLETED,BoTorch,0.288798325806806865934106554050,1000,50,198,5 226,226_0,COMPLETED,BoTorch,0.288082387928185967851391069416,629,50,117,5 227,227_0,COMPLETED,BoTorch,0.280592576274920180168237493490,315,42,162,5 228,228_0,COMPLETED,BoTorch,0.302621434078643058995794490329,1000,49,184,5 229,229_0,COMPLETED,BoTorch,0.287091089327018433863258906058,1000,10,123,2 230,230_0,COMPLETED,BoTorch,0.288743253662297583161944203312,100,50,134,4 231,231_0,COMPLETED,BoTorch,0.289183830818372067383847934252,1000,10,132,2 232,232_0,COMPLETED,BoTorch,0.293754818812644535874767370842,412,13,136,1 233,233_0,COMPLETED,BoTorch,0.293534530234607293763815505372,583,10,156,4 234,234_0,COMPLETED,BoTorch,0.289844696552483793716703530663,599,50,122,5 235,235_0,COMPLETED,BoTorch,0.285438924991739173542271146289,1000,25,108,5 236,236_0,COMPLETED,BoTorch,0.296398281749091330183887293970,414,10,117,5 237,237_0,COMPLETED,BoTorch,0.294470756691265544979785317992,100,50,107,1 238,238_0,COMPLETED,BoTorch,0.290175129419539601371980097611,762,18,139,1 239,239_0,COMPLETED,BoTorch,0.276957814737305851870985407004,345,43,148,5 240,240_0,COMPLETED,BoTorch,0.287366450049564958746373122267,100,33,146,4 241,241_0,COMPLETED,BoTorch,0.281749091309615562472856709064,276,40,148,4 242,242_0,COMPLETED,BoTorch,0.293424385945588728219490803895,100,50,92,1 243,243_0,COMPLETED,BoTorch,0.286870800748981191752307040588,1000,50,250,1 244,244_0,COMPLETED,BoTorch,0.286430223592906707530403309647,819,39,143,5 245,245_0,COMPLETED,BoTorch,0.278389690494547870081021301303,332,20,136,3 246,246_0,COMPLETED,BoTorch,0.291056283731688458793485096976,219,50,107,2 247,247_0,COMPLETED,BoTorch,0.287146161471527716635421256797,1000,41,133,1 248,248_0,COMPLETED,BoTorch,0.284172265668025114671024766722,100,46,150,4 249,249_0,COMPLETED,BoTorch,0.278169401916510627970069435833,362,41,150,3 250,250_0,COMPLETED,BoTorch,0.280041854829827019379706598556,532,36,145,4 251,251_0,COMPLETED,BoTorch,0.279656349818261928952267680870,512,41,148,4 252,252_0,COMPLETED,BoTorch,0.279105628373168879186039248452,493,33,141,2 253,253_0,COMPLETED,BoTorch,0.280702720563938745712562194967,740,46,151,4 254,254_0,COMPLETED,BoTorch,0.290560634431104691799419015297,604,41,142,4 255,255_0,COMPLETED,BoTorch,0.288412820795241775506667636364,1000,30,123,5 256,256_0,COMPLETED,BoTorch,0.287366450049564958746373122267,100,36,163,5 257,257_0,COMPLETED,BoTorch,0.286870800748981191752307040588,100,31,148,5 258,258_0,COMPLETED,BoTorch,0.283125894922348297910730252624,379,38,143,5 259,259_0,COMPLETED,BoTorch,0.291441788743253660243226477178,1000,33,146,3 260,260_0,COMPLETED,BoTorch,0.288027315783676574056926256162,252,35,143,5 261,261_0,COMPLETED,BoTorch,0.286154862870360182647289093438,559,40,143,3 262,262_0,COMPLETED,BoTorch,0.288688181517788300389781852573,268,38,147,3 263,263_0,COMPLETED,BoTorch,0.278609979072585112191973166773,316,34,154,4 264,264_0,COMPLETED,BoTorch,0.278554906928075829419810816034,475,42,146,3 265,265_0,COMPLETED,BoTorch,0.284722987113118164437253199139,292,34,151,3 266,266_0,COMPLETED,BoTorch,0.296893931049675097177953375649,209,50,152,5 267,267_0,COMPLETED,BoTorch,0.276241876858684842765967459854,304,31,141,3 268,268_0,COMPLETED,BoTorch,0.291331644454235094698901775701,1000,10,108,4 269,269_0,COMPLETED,BoTorch,0.287201233616036999407583607535,565,27,122,1 270,270_0,COMPLETED,BoTorch,0.289569335829937268833589314454,1000,50,250,5 271,271_0,COMPLETED,BoTorch,0.289514263685427875039124501200,1000,10,96,5 272,272_0,COMPLETED,BoTorch,0.282244740610199329466922790743,471,50,140,5 273,273_0,COMPLETED,BoTorch,0.289624407974446551605751665193,243,24,147,3 274,274_0,COMPLETED,BoTorch,0.292157726621874669348244424327,404,35,157,5 275,275_0,COMPLETED,BoTorch,0.278059257627492062425744734355,297,33,143,2 276,276_0,COMPLETED,BoTorch,0.283511399933913388338169170311,364,37,141,4 277,277_0,COMPLETED,BoTorch,0.284833131402136841003880363132,392,50,148,3 278,278_0,COMPLETED,BoTorch,0.277343319748871053320726787206,336,16,139,2 279,279_0,COMPLETED,BoTorch,0.281088225575503947162303575169,315,36,148,2 280,280_0,COMPLETED,BoTorch,0.276131732569666277221642758377,486,45,145,2 281,281_0,COMPLETED,BoTorch,0.285824430003304374992012526491,254,42,135,4 282,282_0,COMPLETED,BoTorch,0.278665051217094394964135517512,286,40,140,3 283,283_0,COMPLETED,BoTorch,0.280482431985901503601610329497,353,10,137,3 284,284_0,COMPLETED,BoTorch,0.287366450049564958746373122267,391,29,141,2 285,285_0,COMPLETED,BoTorch,0.284667914968608881665090848401,431,35,142,3 286,286_0,COMPLETED,BoTorch,0.288027315783676574056926256162,664,50,103,5 287,287_0,COMPLETED,BoTorch,0.284282409957043680215349468199,290,49,158,3 288,288_0,COMPLETED,BoTorch,0.290009912986011642033190582879,557,22,150,1 289,289_0,COMPLETED,BoTorch,0.298160590373389156049199755216,1000,19,250,1 290,290_0,COMPLETED,BoTorch,0.284722987113118164437253199139,549,37,145,1 291,291_0,COMPLETED,BoTorch,0.287586738627602200857324987737,1000,10,240,1 292,292_0,RUNNING,BoTorch,,429,42,152,2 293,293_0,COMPLETED,BoTorch,0.281914307743143521811646223796,369,41,142,2 294,294_0,COMPLETED,BoTorch,0.292653375922458436342310506006,419,18,146,1 295,295_0,COMPLETED,BoTorch,0.292212798766383952120406775066,225,23,131,2 296,296_0,COMPLETED,BoTorch,0.292267870910893234892569125805,414,23,137,2 297,297_0,COMPLETED,BoTorch,0.282409957043727288805712305475,317,12,133,2 298,298_0,COMPLETED,BoTorch,0.294691045269302787090737183462,609,28,139,3 299,299_0,COMPLETED,BoTorch,0.280041854829827019379706598556,492,50,144,3 300,300_0,COMPLETED,BoTorch,0.290009912986011642033190582879,792,18,150,1 301,301_0,COMPLETED,BoTorch,0.282024452032162087355970925273,308,46,152,2 302,302_0,COMPLETED,BoTorch,0.282189668465690046694760440005,659,23,147,2 303,303_0,COMPLETED,BoTorch,0.280427359841392220829447978758,326,30,133,5 304,304_0,COMPLETED,BoTorch,0.288578037228769734845457151096,267,10,144,3 305,305_0,COMPLETED,BoTorch,0.287586738627602200857324987737,606,50,138,3 306,306_0,COMPLETED,BoTorch,0.275525938980063833660949512705,513,44,151,3 307,74_0,COMPLETED,BoTorch,0.286540367881925273074728011125,1000,50,144,1 308,308_0,COMPLETED,BoTorch,0.292378015199911911459196289798,1000,50,97,3 309,309_0,COMPLETED,BoTorch,0.287036017182509040068794092804,388,42,147,4 310,310_0,COMPLETED,BoTorch,0.289514263685427875039124501200,393,45,148,3 311,311_0,COMPLETED,BoTorch,0.290891067298160610476998044760,587,10,155,1 312,312_0,COMPLETED,BoTorch,0.288027315783676574056926256162,187,42,147,3 313,313_0,COMPLETED,BoTorch,0.286595440026434666869192824379,1000,31,119,3 314,314_0,COMPLETED,BoTorch,0.287531666483092807062860174483,273,50,147,2 315,315_0,COMPLETED,BoTorch,0.284007049234497155332235251990,473,45,144,4 316,316_0,RUNNING,BoTorch,,100,39,136,5 317,317_0,COMPLETED,BoTorch,0.284172265668025114671024766722,370,44,156,3 318,318_0,COMPLETED,BoTorch,0.293314241656570051652863639902,1000,50,229,1 319,319_0,COMPLETED,BoTorch,0.278720123361603677736297868250,288,30,145,4 320,320_0,COMPLETED,BoTorch,0.282244740610199329466922790743,100,10,168,4 321,321_0,COMPLETED,BoTorch,0.286485295737415990302565660386,993,10,125,1 322,322_0,COMPLETED,BoTorch,0.287201233616036999407583607535,100,31,131,4 323,323_0,COMPLETED,BoTorch,0.286595440026434666869192824379,1000,10,107,2 324,324_0,COMPLETED,BoTorch,0.283511399933913388338169170311,100,13,160,5 325,325_0,COMPLETED,BoTorch,0.286870800748981191752307040588,100,42,122,5 326,326_0,COMPLETED,BoTorch,0.285163564269192648659156930080,1000,14,142,1 327,327_0,COMPLETED,BoTorch,0.291441788743253660243226477178,450,16,154,3 328,328_0,COMPLETED,BoTorch,0.292047582332855992781617260334,405,13,130,3 329,329_0,COMPLETED,BoTorch,0.283346183500385540021682118095,461,35,151,4 330,330_0,COMPLETED,BoTorch,0.276517237581231367649081676063,696,10,133,3 331,331_0,COMPLETED,BoTorch,0.287366450049564958746373122267,218,17,155,5 332,332_0,COMPLETED,BoTorch,0.281088225575503947162303575169,100,34,168,4 333,333_0,COMPLETED,BoTorch,0.283180967066857580682892603363,100,37,174,4 334,334_0,COMPLETED,BoTorch,0.292488159488930477003520991275,205,31,138,4 335,335_0,COMPLETED,BoTorch,0.289293975107390632928172635729,417,30,137,4 336,336_0,COMPLETED,BoTorch,0.272992620332635715918456753570,138,10,146,1 337,337_0,COMPLETED,BoTorch,0.290670778720123368366046179290,602,35,126,5 338,338_0,COMPLETED,BoTorch,0.279601277673752646180105330131,147,36,135,3 339,339_0,COMPLETED,BoTorch,0.290615706575614085593883828551,800,50,131,5 340,340_0,COMPLETED,BoTorch,0.289459191540918592266962150461,100,30,126,1 341,341_0,COMPLETED,BoTorch,0.285659213569776415653223011759,100,22,169,5 342,342_0,COMPLETED,BoTorch,0.282850534199801773027616036416,463,10,142,1 343,343_0,COMPLETED,BoTorch,0.287696882916620766401649689215,1000,10,139,5 344,344_0,COMPLETED,BoTorch,0.278940411939640919847249733721,326,19,155,4 345,345_0,COMPLETED,BoTorch,0.283841832800969307015748199774,1000,50,110,5 346,346_0,COMPLETED,BoTorch,0.279325916951206121296991113923,301,40,158,4 347,347_0,COMPLETED,BoTorch,0.281749091309615562472856709064,538,43,156,3 348,348_0,COMPLETED,BoTorch,0.283841832800969307015748199774,722,10,156,2 349,349_0,COMPLETED,BoTorch,0.289954840841502359261028232140,425,43,161,4 350,350_0,COMPLETED,BoTorch,0.284282409957043680215349468199,668,50,154,5 351,351_0,COMPLETED,BoTorch,0.272772331754598473807504888100,141,37,155,4 352,352_0,COMPLETED,BoTorch,0.291276572309725700904436962446,100,10,180,5 353,353_0,COMPLETED,BoTorch,0.278279546205529193514394137310,163,37,160,4 354,354_0,COMPLETED,BoTorch,0.277783896904945426520328055631,314,46,152,4 355,355_0,COMPLETED,BoTorch,0.277949113338473385859117570362,481,50,151,4 356,356_0,COMPLETED,BoTorch,0.286760656459962515185679876595,283,47,145,3 357,357_0,COMPLETED,BoTorch,0.284337482101553074009814281453,100,10,161,4 358,358_0,COMPLETED,BoTorch,0.294085251679700454552346400305,100,44,150,2 359,359_0,COMPLETED,BoTorch,0.280151999118845695946333762549,294,40,153,3 360,360_0,COMPLETED,BoTorch,0.298766383962991488587590538373,207,36,160,3 361,361_0,COMPLETED,BoTorch,0.276241876858684842765967459854,493,33,164,4 362,362_0,COMPLETED,BoTorch,0.290835995153651327704835694021,100,50,250,1 363,363_0,COMPLETED,BoTorch,0.290395417997576843482931963081,248,40,155,4 364,364_0,COMPLETED,BoTorch,0.282134596321180763922598089266,354,24,159,2 365,365_0,COMPLETED,BoTorch,0.284227337812534397443187117460,100,10,167,5 366,366_0,COMPLETED,BoTorch,0.293369313801079445447328453156,100,10,182,5 367,367_0,COMPLETED,BoTorch,0.286705584315453232413517525856,171,17,145,3 368,368_0,COMPLETED,BoTorch,0.294140323824209737324508751044,204,25,160,3 369,369_0,COMPLETED,BoTorch,0.290340345853067560710769612342,1000,10,185,5 370,370_0,COMPLETED,BoTorch,0.279050556228659596413876897714,677,10,127,2 371,371_0,COMPLETED,BoTorch,0.286595440026434666869192824379,376,34,160,4 372,372_0,COMPLETED,BoTorch,0.290395417997576843482931963081,389,47,136,4 373,373_0,COMPLETED,BoTorch,0.290835995153651327704835694021,617,43,156,4 374,374_0,COMPLETED,BoTorch,0.284117193523515831898862415983,387,10,169,3 375,375_0,COMPLETED,BoTorch,0.287476594338583524290697823744,409,42,153,5 376,376_0,COMPLETED,BoTorch,0.277178103315343093981937272474,520,10,145,3 377,377_0,COMPLETED,BoTorch,0.284282409957043680215349468199,572,16,134,1 378,378_0,COMPLETED,BoTorch,0.285493997136248456314433497027,100,23,153,4 379,379_0,COMPLETED,BoTorch,0.278224474061019910742231786571,543,50,153,3 380,380_0,COMPLETED,BoTorch,0.287917171494658008512601554685,394,33,147,3 381,381_0,COMPLETED,BoTorch,0.286650512170943949641355175117,968,50,138,5 382,382_0,COMPLETED,BoTorch,0.288522965084260341050992337841,100,10,120,3 383,383_0,COMPLETED,BoTorch,0.286209935014869465419451444177,558,10,138,4 384,384_0,RUNNING,BoTorch,,314,24,150,4 385,385_0,COMPLETED,BoTorch,0.280427359841392220829447978758,479,10,148,5 386,386_0,COMPLETED,BoTorch,0.287036017182509040068794092804,376,43,126,5 387,387_0,COMPLETED,BoTorch,0.281583874876087714156369656848,544,50,147,2 388,388_0,COMPLETED,BoTorch,0.278885339795131637075087382982,529,10,135,2 389,389_0,COMPLETED,BoTorch,0.278720123361603677736297868250,494,10,140,3 390,390_0,COMPLETED,BoTorch,0.282520101332745854350037006952,706,44,164,2 391,391_0,COMPLETED,BoTorch,0.283621544222932064904796334304,642,34,135,2 392,392_0,COMPLETED,BoTorch,0.296233065315563370845097779238,780,10,142,2 393,393_0,COMPLETED,BoTorch,0.290615706575614085593883828551,769,33,142,4 394,394_0,COMPLETED,BoTorch,0.280537504130410786373772680236,472,10,148,2 395,395_0,COMPLETED,BoTorch,0.277949113338473385859117570362,347,10,144,4 396,396_0,COMPLETED,BoTorch,0.291441788743253660243226477178,767,43,141,3 397,397_0,COMPLETED,BoTorch,0.283951977089987872560072901251,370,10,139,2 398,398_0,COMPLETED,BoTorch,0.289789624407974399922238717409,964,28,136,2 399,399_0,COMPLETED,BoTorch,0.287421522194074241518535473006,1000,25,115,2 400,400_0,COMPLETED,BoTorch,0.281914307743143521811646223796,1000,10,160,5 401,401_0,COMPLETED,BoTorch,0.288522965084260341050992337841,174,10,149,4 402,402_0,COMPLETED,BoTorch,0.284337482101553074009814281453,282,10,153,5 403,403_0,COMPLETED,BoTorch,0.289293975107390632928172635729,786,10,164,5 404,404_0,COMPLETED,BoTorch,0.282079524176671481150435738527,269,10,156,3 405,405_0,COMPLETED,BoTorch,0.285769357858794981197547713236,385,19,142,3 406,406_0,COMPLETED,BoTorch,0.273047692477145109712921566825,136,23,152,3 407,407_0,COMPLETED,BoTorch,0.295021478136358594746013750409,100,50,187,5 408,408_0,COMPLETED,BoTorch,0.293975107390681777985719236312,429,10,148,3 409,409_0,COMPLETED,BoTorch,0.292212798766383952120406775066,240,10,162,3 410,410_0,COMPLETED,BoTorch,0.291717149465800185126340693387,432,10,131,2 411,411_0,COMPLETED,BoTorch,0.287862099350148725740439203946,251,10,147,2 412,412_0,COMPLETED,BoTorch,0.281143297720013229934465925908,532,22,162,3 413,413_0,COMPLETED,BoTorch,0.283621544222932064904796334304,100,10,144,2 414,414_0,COMPLETED,BoTorch,0.285493997136248456314433497027,1000,50,118,1 415,343_0,COMPLETED,BoTorch,0.287201233616036999407583607535,1000,10,139,5 416,416_0,COMPLETED,BoTorch,0.284392554246062356781976632192,100,10,146,3 417,417_0,COMPLETED,BoTorch,0.282134596321180763922598089266,335,10,154,4 418,418_0,COMPLETED,BoTorch,0.288027315783676574056926256162,1000,33,157,5 419,419_0,COMPLETED,BoTorch,0.282960678488820338571940737893,1000,38,150,1 420,420_0,COMPLETED,BoTorch,0.290670778720123368366046179290,1000,27,156,4 421,421_0,COMPLETED,BoTorch,0.283346183500385540021682118095,442,12,138,5 422,422_0,COMPLETED,BoTorch,0.275305650402026702572300109750,482,10,171,5 423,423_0,COMPLETED,BoTorch,0.278114329772001345197907085094,315,10,140,5 424,424_0,COMPLETED,BoTorch,0.288578037228769734845457151096,100,10,164,2 425,425_0,COMPLETED,BoTorch,0.285989646436832223308499578707,359,21,161,4 426,426_0,COMPLETED,BoTorch,0.284117193523515831898862415983,160,29,146,2 427,427_0,COMPLETED,BoTorch,0.288798325806806865934106554050,239,10,138,5 428,428_0,COMPLETED,BoTorch,0.285383852847229890770108795550,370,10,142,1 429,429_0,COMPLETED,BoTorch,0.295296838858905119629127966618,417,10,162,5 430,430_0,COMPLETED,BoTorch,0.277894041193964103086955219624,115,30,157,5 431,431_0,COMPLETED,BoTorch,0.283456327789404105566006819572,372,24,158,5 432,432_0,COMPLETED,BoTorch,0.277288247604361659526261973951,482,16,156,5 433,433_0,COMPLETED,BoTorch,0.292322943055402628687033939059,593,16,161,5 434,434_0,COMPLETED,BoTorch,0.283786760656459913221283386520,726,10,158,5 435,435_0,COMPLETED,BoTorch,0.291001211587179176021322746237,569,10,160,5 436,436_0,COMPLETED,BoTorch,0.273543341777728876706987648504,502,28,155,3 437,437_0,COMPLETED,BoTorch,0.283401255644894822793844468833,279,10,133,4 438,438_0,COMPLETED,BoTorch,0.285934574292322940536337227968,1000,50,119,3 439,439_0,COMPLETED,BoTorch,0.279380989095715404069153464661,481,39,150,3 440,440_0,COMPLETED,BoTorch,0.281694019165106279700694358326,678,10,123,5 441,441_0,COMPLETED,BoTorch,0.285438924991739173542271146289,280,18,133,5 442,442_0,COMPLETED,BoTorch,0.282465029188236571577874656214,293,31,150,5 443,443_0,COMPLETED,BoTorch,0.278059257627492062425744734355,894,10,119,3 444,444_0,COMPLETED,BoTorch,0.293204097367551486108538938424,616,23,168,5 445,445_0,COMPLETED,BoTorch,0.272772331754598473807504888100,147,22,146,4 446,446_0,COMPLETED,BoTorch,0.288743253662297583161944203312,557,34,152,2 447,447_0,COMPLETED,BoTorch,0.288798325806806865934106554050,1000,31,153,5 448,448_0,COMPLETED,BoTorch,0.282740389910783096460988872423,827,25,157,2 449,449_0,COMPLETED,BoTorch,0.288963542240334825272896068782,256,29,150,4 450,450_0,COMPLETED,BoTorch,0.282299812754708723261387603998,1000,10,167,1 451,451_0,COMPLETED,BoTorch,0.291276572309725700904436962446,240,23,142,5 452,452_0,COMPLETED,BoTorch,0.283070822777839015138567901886,100,24,143,5 453,453_0,COMPLETED,BoTorch,0.276737526159268609760033541534,320,21,144,4 454,454_0,COMPLETED,BoTorch,0.285383852847229890770108795550,100,34,151,4 455,455_0,COMPLETED,BoTorch,0.285824430003304374992012526491,653,10,141,3 456,456_0,COMPLETED,BoTorch,0.284667914968608881665090848401,468,29,150,5 457,457_0,COMPLETED,BoTorch,0.284943275691155406548205064610,100,20,150,5 458,458_0,COMPLETED,BoTorch,0.276792598303778003554498354788,685,10,113,5 459,459_0,COMPLETED,BoTorch,0.288247604361713816167878121632,100,10,121,5 460,460_0,COMPLETED,BoTorch,0.282189668465690046694760440005,1000,10,167,2 461,461_0,COMPLETED,BoTorch,0.288412820795241775506667636364,1000,27,160,1 462,462_0,COMPLETED,BoTorch,0.286320079303888141986078608170,761,10,136,5 463,463_0,COMPLETED,BoTorch,0.289569335829937268833589314454,570,27,151,3 464,464_0,COMPLETED,BoTorch,0.283401255644894822793844468833,371,23,148,3 465,465_0,COMPLETED,BoTorch,0.277894041193964103086955219624,538,10,132,3 466,466_0,COMPLETED,BoTorch,0.289128758673862784611685583513,585,34,154,1 467,467_0,COMPLETED,BoTorch,0.288192532217204533395715770894,1000,10,113,5 468,468_0,COMPLETED,BoTorch,0.284667914968608881665090848401,477,11,145,4 469,469_0,COMPLETED,BoTorch,0.281914307743143521811646223796,859,10,120,2 470,470_0,COMPLETED,BoTorch,0.280647648419429462940399844229,482,10,131,4 471,471_0,COMPLETED,BoTorch,0.294525828835774827751947668730,1000,10,188,1 472,472_0,COMPLETED,BoTorch,0.286485295737415990302565660386,656,10,124,3 473,473_0,COMPLETED,BoTorch,0.283786760656459913221283386520,1000,50,110,4 474,474_0,COMPLETED,BoTorch,0.292488159488930477003520991275,255,33,161,5 475,475_0,COMPLETED,BoTorch,0.289183830818372067383847934252,548,10,102,5 476,476_0,COMPLETED,BoTorch,0.290725850864632651138208530028,581,10,104,5 477,477_0,COMPLETED,BoTorch,0.280151999118845695946333762549,333,50,136,2 478,478_0,COMPLETED,BoTorch,0.289293975107390632928172635729,1000,50,129,1 479,479_0,COMPLETED,BoTorch,0.283236039211366863455054954102,832,10,124,3 480,480_0,COMPLETED,BoTorch,0.279876638396299171063219546340,303,10,140,4 481,481_0,COMPLETED,BoTorch,0.291551933032272225787551178655,800,50,153,4 482,482_0,COMPLETED,BoTorch,0.288688181517788300389781852573,1000,29,117,3 483,483_0,COMPLETED,BoTorch,0.284833131402136841003880363132,372,50,129,4 484,484_0,COMPLETED,BoTorch,0.292267870910893234892569125805,391,50,120,5 485,485_0,COMPLETED,BoTorch,0.282795462055292379233151223161,1000,37,152,1 486,486_0,COMPLETED,BoTorch,0.285549069280757739086595847766,590,10,133,5 487,487_0,COMPLETED,BoTorch,0.282244740610199329466922790743,165,28,145,3 488,488_0,COMPLETED,BoTorch,0.288633109373279017617619501834,407,28,146,4 489,489_0,COMPLETED,BoTorch,0.290395417997576843482931963081,431,10,136,4 490,490_0,COMPLETED,BoTorch,0.286430223592906707530403309647,1000,50,132,1 491,491_0,COMPLETED,BoTorch,0.292598303777949153570148155268,762,10,115,1 492,492_0,COMPLETED,BoTorch,0.286815728604471908980144689849,613,10,144,4 493,493_0,COMPLETED,BoTorch,0.279876638396299171063219546340,851,10,124,5 494,494_0,COMPLETED,BoTorch,0.293699746668135253102605020104,409,10,130,5 495,495_0,COMPLETED,BoTorch,0.286925872893490474524469391326,100,10,107,5 496,496_0,COMPLETED,BoTorch,0.279491133384733969613478166139,352,36,151,4 497,497_0,COMPLETED,BoTorch,0.286870800748981191752307040588,259,23,142,3 498,498_0,COMPLETED,BoTorch,0.293975107390681777985719236312,100,10,128,5 499,499_0,COMPLETED,BoTorch,0.279931710540808453835381897079,349,31,144,1 500,500_0,COMPLETED,BoTorch,0.289018614384844108045058419521,1000,10,134,4 501,501_0,RUNNING,BoTorch,,316,25,155,3 502,502_0,RUNNING,BoTorch,,439,45,152,3 503,503_0,RUNNING,BoTorch,,287,19,150,5 504,504_0,RUNNING,BoTorch,,411,10,157,1 505,505_0,RUNNING,BoTorch,,528,27,160,2 506,506_0,RUNNING,BoTorch,,801,50,165,5 507,507_0,RUNNING,BoTorch,,575,50,152,1
start_time,end_time,run_time,program_string,n_samples,n_permutations,update_interval,n_consecutive_deviations,result,exit_code,signal,hostname,OO_Info_runtime,OO_Info_lpd 1727320706,1727320722,16,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 473 n_permutations 19 update_interval 180 n_consecutive_deviations 5,473,19,180,5,0.2902302015640489,0,None,i7182,12,0.0009385699521692562 1727320706,1727320722,16,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 479 n_permutations 19 update_interval 144 n_consecutive_deviations 3,479,19,144,3,0.2822998127547087,0,None,i7182,13,0.00025020757962161157 1727320706,1727320728,22,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 964 n_permutations 14 update_interval 131 n_consecutive_deviations 5,964,14,131,5,0.2921026544773654,0,None,i7182,18,0.00017032393080096184 1727320719,1727320733,14,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 280 n_permutations 49 update_interval 225 n_consecutive_deviations 5,280,49,225,5,0.292763520211477,0,None,i7182,11,0.0006816306410578184 1727320719,1727320734,15,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 321 n_permutations 24 update_interval 112 n_consecutive_deviations 5,321,24,112,5,0.2816940191651063,0,None,i7182,12,0.0001530493318340048 1727320719,1727320734,15,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 399 n_permutations 14 update_interval 212 n_consecutive_deviations 5,399,14,212,5,0.29623306531556337,0,None,i7182,12,0.0007472534117733442 1727320719,1727320734,15,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 406 n_permutations 20 update_interval 147 n_consecutive_deviations 5,406,20,147,5,0.2902302015640489,0,None,i7182,12,0.0002273855038760569 1727320719,1727320742,23,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 981 n_permutations 18 update_interval 52 n_consecutive_deviations 1,981,18,52,1,0.3107170393215112,0,None,i7182,20,2.420691597796388e-05 1727320736,1727320749,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 234 n_permutations 31 update_interval 238 n_consecutive_deviations 4,234,31,238,4,0.299206961119066,0,None,i7182,10,0.0006274290749453206 1727320737,1727320751,14,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 383 n_permutations 14 update_interval 242 n_consecutive_deviations 4,383,14,242,4,0.29997797114219626,0,None,i7182,11,0.0007358575904647852 1727320736,1727320751,15,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 286 n_permutations 24 update_interval 81 n_consecutive_deviations 4,286,24,81,4,0.2860447185813415,0,None,i7182,11,9.130107889350174e-05 1727320736,1727320753,17,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 595 n_permutations 13 update_interval 174 n_consecutive_deviations 2,595,13,174,2,0.2909461394426699,0,None,i7182,14,0.0005452142306421409 1727320759,1727320773,14,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 348 n_permutations 29 update_interval 219 n_consecutive_deviations 5,348,29,219,5,0.29232294305540263,0,None,i7185,11,0.000898730528481671 1727320759,1727320774,15,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 445 n_permutations 27 update_interval 148 n_consecutive_deviations 1,445,27,148,1,0.2846679149686089,0,None,i7185,12,0.00025088421387573255 1727320754,1727320776,22,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 638 n_permutations 18 update_interval 195 n_consecutive_deviations 3,638,18,195,3,0.28962440797444655,0,None,i7173,14,0.001182601839989332 1727320754,1727320777,23,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 729 n_permutations 39 update_interval 171 n_consecutive_deviations 1,729,39,171,1,0.28626500715937875,0,None,i7173,15,0.0004535658694021243 1727320754,1727320779,25,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 719 n_permutations 32 update_interval 61 n_consecutive_deviations 5,719,32,61,5,0.2950214781363586,0,None,i7173,17,6.05878446527663e-05 1727320759,1727320779,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 728 n_permutations 44 update_interval 59 n_consecutive_deviations 1,728,44,59,1,0.3036678048243199,0,None,i7185,17,3.542169109894232e-05 1727320754,1727320780,26,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 879 n_permutations 20 update_interval 109 n_consecutive_deviations 3,879,20,109,3,0.2845026985350809,0,None,i7173,18,0.00012779561738698205 1727320759,1727320780,21,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 986 n_permutations 18 update_interval 127 n_consecutive_deviations 3,986,18,127,3,0.28885339795131626,0,None,i7185,18,0.00015794997001627661 1727320887,1727320903,16,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 478 n_permutations 25 update_interval 118 n_consecutive_deviations 3,478,25,118,3,0.280923009141976,0,None,i7182,13,0.00016436916976623981 1727320887,1727320903,16,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 533 n_permutations 35 update_interval 133 n_consecutive_deviations 3,533,35,133,3,0.2820244520321621,0,None,i7182,14,0.0002027850282319451 1727320899,1727320912,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 206 n_permutations 28 update_interval 121 n_consecutive_deviations 3,206,28,121,3,0.2901200572750303,0,None,i7182,10,0.0001373382982638932 1727320899,1727320915,16,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 431 n_permutations 15 update_interval 117 n_consecutive_deviations 3,431,15,117,3,0.2898997686969931,0,None,i7182,13,0.00012345339060836346 1727320899,1727320915,16,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 431 n_permutations 15 update_interval 112 n_consecutive_deviations 4,431,15,112,4,0.28923890296288135,0,None,i7182,13,0.00012598906802548205 1727320899,1727320916,17,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 557 n_permutations 31 update_interval 111 n_consecutive_deviations 4,557,31,111,4,0.28879832580680687,0,None,i7182,14,0.00012276189625120502 1727320917,1727320930,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 165 n_permutations 13 update_interval 99 n_consecutive_deviations 5,165,13,99,5,0.28659544002643467,0,None,i7182,10,0.00012149503636022711 1727320917,1727320932,15,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 279 n_permutations 40 update_interval 109 n_consecutive_deviations 5,279,40,109,5,0.28846789293975106,0,None,i7182,11,0.00012568519555137772 1727320917,1727320932,15,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 350 n_permutations 39 update_interval 158 n_consecutive_deviations 3,350,39,158,3,0.2789954840841502,0,None,i7182,12,0.00034809751718146997 1727320917,1727320935,18,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 576 n_permutations 22 update_interval 106 n_consecutive_deviations 4,576,22,106,4,0.2923780151999119,0,None,i7182,14,0.00010678110462109927 1727320917,1727320935,18,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 611 n_permutations 27 update_interval 128 n_consecutive_deviations 2,611,27,128,2,0.2860997907258509,0,None,i7182,15,0.0001635362664072984 1727320919,1727320937,18,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 673 n_permutations 37 update_interval 122 n_consecutive_deviations 3,673,37,122,3,0.2846128428240996,0,None,i7182,15,0.00016521643352792134 1727320939,1727320953,14,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 141 n_permutations 33 update_interval 112 n_consecutive_deviations 4,141,33,112,4,0.2786099790725851,0,None,i7182,10,0.00015395859183264866 1727320939,1727320953,14,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 198 n_permutations 18 update_interval 117 n_consecutive_deviations 3,198,18,117,3,0.28890847009582554,0,None,i7182,11,0.00013207709075633252 1727320939,1727320954,15,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 307 n_permutations 34 update_interval 128 n_consecutive_deviations 3,307,34,128,3,0.2816940191651063,0,None,i7182,12,0.00018473322859964087 1727320939,1727320955,16,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 425 n_permutations 38 update_interval 121 n_consecutive_deviations 3,425,38,121,3,0.2910012115871792,0,None,i7182,13,0.00013672485087957333 1727320939,1727320956,17,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 428 n_permutations 21 update_interval 111 n_consecutive_deviations 3,428,21,111,3,0.29177222161030947,0,None,i7182,13,0.00011262107858649327 1727320939,1727320957,18,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 557 n_permutations 14 update_interval 122 n_consecutive_deviations 2,557,14,122,2,0.28483313140213684,0,None,i7182,14,0.0001518707297971383 1727320947,1727320964,17,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 612 n_permutations 32 update_interval 119 n_consecutive_deviations 4,612,32,119,4,0.28775195506113005,0,None,i7182,14,0.0001469748714664791 1727320947,1727320965,18,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 611 n_permutations 24 update_interval 126 n_consecutive_deviations 3,611,24,126,3,0.2904504901420861,0,None,i7182,15,0.00014390983335710753 1727321037,1727321051,14,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 444 n_permutations 40 update_interval 158 n_consecutive_deviations 2,444,40,158,2,0.28780702720563944,0,None,i7182,12,0.000316571170818806 1727321037,1727321052,15,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 465 n_permutations 36 update_interval 157 n_consecutive_deviations 3,465,36,157,3,0.2845026985350809,0,None,i7182,12,0.0003194890434674551 1727321039,1727321054,15,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 493 n_permutations 47 update_interval 168 n_consecutive_deviations 3,493,47,168,3,0.27514043396849874,0,None,i7182,12,0.0005148048291087408 1727321059,1727321073,14,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 381 n_permutations 50 update_interval 167 n_consecutive_deviations 2,381,50,167,2,0.2868157286044719,0,None,i7182,11,0.00038640049358969116 1727321059,1727321074,15,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 401 n_permutations 43 update_interval 142 n_consecutive_deviations 3,401,43,142,3,0.2882476043617138,0,None,i7182,11,0.00019698882459098338 1727321059,1727321074,15,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 432 n_permutations 31 update_interval 151 n_consecutive_deviations 3,432,31,151,3,0.2902302015640489,0,None,i7182,12,0.00023844750136191913 1727321059,1727321074,15,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 420 n_permutations 43 update_interval 155 n_consecutive_deviations 4,420,43,155,4,0.28929397510739063,0,None,i7182,12,0.0002589023805092718 1727321059,1727321075,16,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 557 n_permutations 34 update_interval 160 n_consecutive_deviations 3,557,34,160,3,0.2898446965524838,0,None,i7182,13,0.0003021525766321444 1727321067,1727321081,14,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 418 n_permutations 33 update_interval 150 n_consecutive_deviations 2,418,33,150,2,0.287201233616037,0,None,i7182,11,0.00024425780155423277 1727321067,1727321084,17,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 659 n_permutations 47 update_interval 175 n_consecutive_deviations 3,659,47,175,3,0.29441568454675626,0,None,i7182,14,0.000688401806366339 1727321079,1727321092,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 368 n_permutations 34 update_interval 170 n_consecutive_deviations 2,368,34,170,2,0.27998678268531774,0,None,i7182,11,0.0005127944021762848 1727321079,1727321093,14,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 479 n_permutations 36 update_interval 164 n_consecutive_deviations 2,479,36,164,2,0.28252010133274585,0,None,i7182,12,0.0004048663123692037 1727321179,1727321191,12,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 100 n_permutations 50 update_interval 169 n_consecutive_deviations 3,100,50,169,3,0.2826853177662738,0,None,i7182,8,0.00044151856025410354 1727321188,1727321200,12,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 100 n_permutations 35 update_interval 131 n_consecutive_deviations 5,100,35,131,5,0.2906157065756141,0,None,i7185,9,0.00016316150276264864 1727321187,1727321207,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 932 n_permutations 50 update_interval 161 n_consecutive_deviations 3,932,50,161,3,0.2901200572750303,0,None,i7185,17,0.00029286709960909673 1727321199,1727321211,12,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 100 n_permutations 44 update_interval 141 n_consecutive_deviations 4,100,44,141,4,0.2846128428240996,0,None,i7185,9,0.0002005247842415497 1727321199,1727321211,12,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 100 n_permutations 32 update_interval 95 n_consecutive_deviations 5,100,32,95,5,0.29447075669126554,0,None,i7185,9,9.918465827049348e-05 1727321199,1727321219,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 851 n_permutations 50 update_interval 148 n_consecutive_deviations 2,851,50,148,2,0.27624187685868484,0,None,i7185,17,0.0002934399619056519 1727321217,1727321230,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 100 n_permutations 50 update_interval 112 n_consecutive_deviations 4,100,50,112,4,0.29221279876638395,0,None,i7185,9,0.00011638174184977894 1727321217,1727321232,15,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 408 n_permutations 50 update_interval 180 n_consecutive_deviations 3,408,50,180,3,0.29590263244850756,0,None,i7185,12,0.0008225669243730554 1727321217,1727321236,19,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 754 n_permutations 50 update_interval 169 n_consecutive_deviations 4,754,50,169,4,0.28813746007269525,0,None,i7185,15,0.0004278289744750803 1727321217,1727321238,21,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 1000 n_permutations 32 update_interval 158 n_consecutive_deviations 2,1000,32,158,2,0.28703601718250904,0,None,i7185,18,0.00031123007982562426 1727321239,1727321251,12,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 100 n_permutations 50 update_interval 155 n_consecutive_deviations 5,100,50,155,5,0.2909461394426699,0,None,i7185,9,0.00025986137648703015 1727321239,1727321251,12,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 100 n_permutations 27 update_interval 122 n_consecutive_deviations 5,100,27,122,5,0.287917171494658,0,None,i7185,9,0.00015899252678543122 1727321239,1727321256,17,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 563 n_permutations 50 update_interval 196 n_consecutive_deviations 2,563,50,196,2,0.29111135587619785,0,None,i7185,13,0.0007759271788900592 1727321239,1727321257,18,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 679 n_permutations 50 update_interval 161 n_consecutive_deviations 3,679,50,161,3,0.27514043396849874,0,None,i7185,15,0.0004259176643705409 1727321247,1727321260,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 100 n_permutations 27 update_interval 67 n_consecutive_deviations 5,100,27,67,5,0.2979953739398612,0,None,i7185,9,6.387981612678863e-05 1727321239,1727321260,21,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 1000 n_permutations 44 update_interval 152 n_consecutive_deviations 2,1000,44,152,2,0.2835664720784228,0,None,i7185,18,0.00029181906458379964 1727321367,1727321385,18,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 713 n_permutations 50 update_interval 143 n_consecutive_deviations 1,713,50,143,1,0.27921577266218744,0,None,i7182,15,0.0002483207957379121 1727321379,1727321391,12,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 100 n_permutations 39 update_interval 156 n_consecutive_deviations 2,100,39,156,2,0.2854389249917392,0,None,i7182,9,0.0002643462936446743 1727321379,1727321391,12,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 100 n_permutations 28 update_interval 157 n_consecutive_deviations 3,100,28,157,3,0.2859896464368322,0,None,i7182,9,0.00030033132223088014 1727321379,1727321396,17,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 582 n_permutations 50 update_interval 140 n_consecutive_deviations 2,582,50,140,2,0.2894041193964093,0,None,i7182,14,0.00019972831075375385 1727321397,1727321409,12,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 100 n_permutations 32 update_interval 169 n_consecutive_deviations 1,100,32,169,1,0.28334618350038554,0,None,i7182,9,0.00040154965209148336 1727321397,1727321418,21,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 1000 n_permutations 50 update_interval 130 n_consecutive_deviations 2,1000,50,130,2,0.28554906928075774,0,None,i7182,18,0.00017615133586731474 1727321397,1727321419,22,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 1000 n_permutations 50 update_interval 144 n_consecutive_deviations 1,1000,50,144,1,0.28659544002643467,0,None,i7182,18,0.0002190254554567397 1727321419,1727321431,12,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 100 n_permutations 41 update_interval 129 n_consecutive_deviations 1,100,41,129,1,0.2913316444542351,0,None,i7182,9,0.00013611185082838237 1727321419,1727321433,14,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 264 n_permutations 50 update_interval 147 n_consecutive_deviations 1,264,50,147,1,0.28620993501486947,0,None,i7182,11,0.00021392468578281982 1727321419,1727321435,16,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 449 n_permutations 49 update_interval 138 n_consecutive_deviations 1,449,49,138,1,0.2916070051767816,0,None,i7182,13,0.00016825190605993033 1727321420,1727321439,19,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 730 n_permutations 48 update_interval 134 n_consecutive_deviations 1,730,48,134,1,0.28769688291662077,0,None,i7182,16,0.00017212585387226258 1727321427,1727321439,12,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 100 n_permutations 29 update_interval 152 n_consecutive_deviations 1,100,29,152,1,0.28620993501486947,0,None,i7182,9,0.00022704270896761538 1727321427,1727321446,19,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 714 n_permutations 32 update_interval 144 n_consecutive_deviations 1,714,32,144,1,0.2812534420090318,0,None,i7182,15,0.0002413161241226006 1727321439,1727321451,12,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 127 n_permutations 50 update_interval 140 n_consecutive_deviations 2,127,50,140,2,0.2745346403788963,0,None,i7182,9,0.00026231731989959485 1727321577,1727321595,18,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 667 n_permutations 50 update_interval 157 n_consecutive_deviations 1,667,50,157,1,0.2775636083269083,0,None,i7185,15,0.000339996293347878 1727321599,1727321612,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 175 n_permutations 10 update_interval 155 n_consecutive_deviations 1,175,10,155,1,0.2894041193964093,0,None,i7185,9,0.0002736918696826173 1727321599,1727321618,19,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 713 n_permutations 42 update_interval 150 n_consecutive_deviations 2,713,42,150,2,0.27883026765062235,0,None,i7185,16,0.0002876306822040496 1727321599,1727321621,22,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 1000 n_permutations 50 update_interval 140 n_consecutive_deviations 3,1000,50,140,3,0.28587950214781366,0,None,i7185,18,0.00021635485342942084 1727321599,1727321621,22,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 1000 n_permutations 30 update_interval 144 n_consecutive_deviations 1,1000,30,144,1,0.2863751514483974,0,None,i7185,19,0.0002190312231397557 1727321607,1727321625,18,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 654 n_permutations 50 update_interval 148 n_consecutive_deviations 3,654,50,148,3,0.2820244520321621,0,None,i7185,14,0.00026830019119918893 1727321607,1727321627,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 892 n_permutations 50 update_interval 160 n_consecutive_deviations 1,892,50,160,1,0.27998678268531774,0,None,i7185,17,0.00035068520406894316 1727321619,1727321632,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 189 n_permutations 50 update_interval 165 n_consecutive_deviations 1,189,50,165,1,0.2935896023791167,0,None,i7185,10,0.0003201068399603475 1727321619,1727321636,17,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 595 n_permutations 50 update_interval 153 n_consecutive_deviations 2,595,50,153,2,0.2909461394426699,0,None,i7185,14,0.00023206871590018198 1727321637,1727321649,12,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 100 n_permutations 34 update_interval 175 n_consecutive_deviations 2,100,34,175,2,0.29000991298601164,0,None,i7185,8,0.00042221977457135507 1727321638,1727321649,11,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 100 n_permutations 20 update_interval 180 n_consecutive_deviations 1,100,20,180,1,0.3001982597202335,0,None,i7185,9,0.0003950002088943409 1727321639,1727321650,11,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 100 n_permutations 50 update_interval 181 n_consecutive_deviations 1,100,50,181,1,0.3010243418878731,0,None,i7185,8,0.0004413017895548432 1727321659,1727321674,15,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 370 n_permutations 50 update_interval 156 n_consecutive_deviations 1,370,50,156,1,0.28477805925762745,0,None,i7185,11,0.0002832281717621513 1727321659,1727321680,21,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 961 n_permutations 38 update_interval 138 n_consecutive_deviations 2,961,38,138,2,0.2890186143848441,0,None,i7185,17,0.0001904385501309236 1727321937,1727321955,18,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 763 n_permutations 41 update_interval 152 n_consecutive_deviations 1,763,41,152,1,0.29292873664500496,0,None,i7182,15,0.00022146659182352386 1727321957,1727321971,14,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 300 n_permutations 50 update_interval 151 n_consecutive_deviations 3,300,50,151,3,0.28290560634431106,0,None,i7183,11,0.0002841844363076954 1727321957,1727321976,19,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 791 n_permutations 50 update_interval 158 n_consecutive_deviations 2,791,50,158,2,0.29414032382420974,0,None,i7183,16,0.0002481646018011987 1727321957,1727321976,19,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 802 n_permutations 40 update_interval 141 n_consecutive_deviations 2,802,40,141,2,0.28967948011895583,0,None,i7183,16,0.00019850448532021374 1727321968,1727321987,19,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 767 n_permutations 31 update_interval 150 n_consecutive_deviations 2,767,31,150,2,0.2894041193964093,0,None,i7183,15,0.00023528204146384615 1727321977,1727321997,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 886 n_permutations 10 update_interval 146 n_consecutive_deviations 1,886,10,146,1,0.27624187685868484,0,None,i7183,16,0.0002766719640824718 1727321977,1727321998,21,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 873 n_permutations 15 update_interval 152 n_consecutive_deviations 2,873,15,152,2,0.27392884678929397,0,None,i7183,17,0.0003394052950938762 1727321997,1727322009,12,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 100 n_permutations 50 update_interval 144 n_consecutive_deviations 3,100,50,144,3,0.2854389249917392,0,None,i7183,8,0.00022536435172472235 1727321997,1727322018,21,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 964 n_permutations 50 update_interval 158 n_consecutive_deviations 2,964,50,158,2,0.2871461614715277,0,None,i7183,17,0.00029871410028149497 1727322017,1727322029,12,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 100 n_permutations 10 update_interval 133 n_consecutive_deviations 4,100,10,133,4,0.28698094503799976,0,None,i7183,9,0.00018573350697256537 1727322017,1727322036,19,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 778 n_permutations 45 update_interval 156 n_consecutive_deviations 2,778,45,156,2,0.29182729375481886,0,None,i7183,16,0.0002486297986034214 1727322017,1727322037,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 788 n_permutations 41 update_interval 157 n_consecutive_deviations 1,788,41,157,1,0.2921026544773654,0,None,i7183,16,0.00024976837303926927 1727322028,1727322040,12,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 100 n_permutations 50 update_interval 151 n_consecutive_deviations 3,100,50,151,3,0.2875316664830928,0,None,i7183,9,0.0002340566141645556 1727322037,1727322049,12,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 100 n_permutations 37 update_interval 144 n_consecutive_deviations 3,100,37,144,3,0.2835664720784228,0,None,i7183,8,0.00023727344503542589 1727322028,1727322050,22,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 1000 n_permutations 50 update_interval 175 n_consecutive_deviations 1,1000,50,175,1,0.2912765723097257,0,None,i7183,18,0.0006625602616350496 1727322057,1727322069,12,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 100 n_permutations 11 update_interval 153 n_consecutive_deviations 3,100,11,153,3,0.2813085141535412,0,None,i7183,8,0.00029139821517836667 1727322057,1727322075,18,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 708 n_permutations 20 update_interval 145 n_consecutive_deviations 1,708,20,145,1,0.27849983478356644,0,None,i7183,15,0.00026217443442458913 1727322058,1727322077,19,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 803 n_permutations 50 update_interval 151 n_consecutive_deviations 1,803,50,151,1,0.2898997686969931,0,None,i7183,16,0.00023027575450264688 1727322343,1727322361,18,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 673 n_permutations 10 update_interval 148 n_consecutive_deviations 2,673,10,148,2,0.28224474061019933,0,None,i7186,15,0.0002658073913561459 1727322343,1727322365,22,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 1000 n_permutations 10 update_interval 158 n_consecutive_deviations 1,1000,10,158,1,0.2834012556448948,0,None,i7186,18,0.00031838583544443186 1727322344,1727322365,21,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 1000 n_permutations 10 update_interval 140 n_consecutive_deviations 2,1000,10,140,2,0.28560414142526713,0,None,i7186,18,0.00021008124090834824 1727322358,1727322376,18,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 697 n_permutations 10 update_interval 141 n_consecutive_deviations 1,697,10,141,1,0.28136358629805047,0,None,i7186,15,0.0002313511048818928 1727322358,1727322379,21,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 1000 n_permutations 10 update_interval 155 n_consecutive_deviations 2,1000,10,155,2,0.28246502918823657,0,None,i7186,17,0.0003144118795622264 1727322358,1727322379,21,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 1000 n_permutations 10 update_interval 140 n_consecutive_deviations 1,1000,10,140,1,0.28411719352351583,0,None,i7186,18,0.00021103275543062224 1727322378,1727322395,17,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 627 n_permutations 10 update_interval 142 n_consecutive_deviations 2,627,10,142,2,0.29000991298601164,0,None,i7186,14,0.0002071639080840761 1727322378,1727322397,19,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 772 n_permutations 11 update_interval 142 n_consecutive_deviations 1,772,11,142,1,0.2912215001652164,0,None,i7186,16,0.00019165106289238893 1727322378,1727322398,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 950 n_permutations 10 update_interval 158 n_consecutive_deviations 3,950,10,158,3,0.2893490472519,0,None,i7186,17,0.0003034512123633634 1727322388,1727322407,19,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 757 n_permutations 14 update_interval 158 n_consecutive_deviations 1,757,14,158,1,0.2909461394426699,0,None,i7186,15,0.00025986137648703015 1727322398,1727322418,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 1000 n_permutations 10 update_interval 150 n_consecutive_deviations 1,1000,10,150,1,0.28334618350038554,0,None,i7186,18,0.00027125960540222546 1727322418,1727322437,19,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 806 n_permutations 12 update_interval 149 n_consecutive_deviations 3,806,12,149,3,0.2897896244079744,0,None,i7186,16,0.00024213785276103002 1727322418,1727322439,21,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 1000 n_permutations 10 update_interval 152 n_consecutive_deviations 1,1000,10,152,1,0.28400704923449716,0,None,i7186,18,0.0002892870119626826 1727322418,1727322439,21,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 1000 n_permutations 10 update_interval 145 n_consecutive_deviations 3,1000,10,145,3,0.287201233616037,0,None,i7186,18,0.00024175259333316371 1727322438,1727322455,17,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 632 n_permutations 10 update_interval 147 n_consecutive_deviations 1,632,10,147,1,0.28367661636744135,0,None,i7186,14,0.00024836457327726756 1727322438,1727322456,18,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 785 n_permutations 10 update_interval 149 n_consecutive_deviations 3,785,10,149,3,0.2897345522634651,0,None,i7186,15,0.0002323356096486396 1727322438,1727322457,19,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 842 n_permutations 10 update_interval 158 n_consecutive_deviations 1,842,10,158,1,0.2798215662517899,0,None,i7186,16,0.0003586935727908818 1727322689,1727322701,12,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 141 n_permutations 22 update_interval 143 n_consecutive_deviations 2,141,22,143,2,0.2745346403788963,0,None,i7182,9,0.00025129558376935974 1727322718,1727322730,12,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 100 n_permutations 26 update_interval 139 n_consecutive_deviations 3,100,26,139,3,0.28808238792818597,0,None,i7182,9,0.00019037284521735784 1727322718,1727322735,17,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 616 n_permutations 50 update_interval 134 n_consecutive_deviations 4,616,50,134,4,0.2894041193964093,0,None,i7182,14,0.00017903932238882316 1727322718,1727322739,21,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 1000 n_permutations 22 update_interval 145 n_consecutive_deviations 2,1000,22,145,2,0.28516356426919265,0,None,i7182,18,0.000243462500231739 1727322718,1727322740,22,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 1000 n_permutations 10 update_interval 133 n_consecutive_deviations 1,1000,10,133,1,0.287201233616037,0,None,i7182,18,0.0001765608827714117 1727322738,1727322750,12,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 100 n_permutations 34 update_interval 140 n_consecutive_deviations 2,100,34,140,2,0.28703601718250904,0,None,i7185,9,0.00020240189862394942 1727322738,1727322760,22,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 948 n_permutations 50 update_interval 152 n_consecutive_deviations 5,948,50,152,5,0.2893490472519,0,None,i7185,18,0.0002600805899659185 1727322738,1727322760,22,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 1000 n_permutations 50 update_interval 122 n_consecutive_deviations 5,1000,50,122,5,0.28670558431545323,0,None,i7185,18,0.00016203198979779148 1727322749,1727322761,12,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 123 n_permutations 10 update_interval 132 n_consecutive_deviations 2,123,10,132,2,0.27800418548298267,0,None,i7185,9,0.00021421598415597435 1727322750,1727322764,14,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 330 n_permutations 50 update_interval 139 n_consecutive_deviations 3,330,50,139,3,0.280207071263355,0,None,i7185,11,0.00023334447436486615 1727322758,1727322770,12,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 100 n_permutations 27 update_interval 139 n_consecutive_deviations 2,100,27,139,2,0.28620993501486947,0,None,i7185,9,0.00020223972395434648 1727322778,1727322790,12,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 108 n_permutations 10 update_interval 105 n_consecutive_deviations 2,108,10,105,2,0.2865403678819253,0,None,i7185,9,0.00011980606875708935 1727322778,1727322797,19,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 856 n_permutations 10 update_interval 124 n_consecutive_deviations 1,856,10,124,1,0.2791056283731689,0,None,i7185,16,0.00017048568192233038 1727322778,1727322799,21,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 1000 n_permutations 21 update_interval 133 n_consecutive_deviations 1,1000,21,133,1,0.28659544002643467,0,None,i7185,18,0.00017882977262010958 1727322798,1727322818,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 1000 n_permutations 10 update_interval 179 n_consecutive_deviations 1,1000,10,179,1,0.2946910452693028,0,None,i7185,17,0.0011392066464210966 1727322978,1727322990,12,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 100 n_permutations 10 update_interval 126 n_consecutive_deviations 1,100,10,126,1,0.28846789293975106,0,None,i7182,9,0.0001484630950687795 1727322978,1727322992,14,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 321 n_permutations 10 update_interval 134 n_consecutive_deviations 1,321,10,134,1,0.27849983478356644,0,None,i7182,11,0.0002123313860548954 1727322989,1727323002,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 268 n_permutations 10 update_interval 142 n_consecutive_deviations 2,268,10,142,2,0.2820244520321621,0,None,i7182,10,0.00023047813781428123 1727322989,1727323003,14,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 273 n_permutations 10 update_interval 139 n_consecutive_deviations 1,273,10,139,1,0.2827403899107831,0,None,i7182,11,0.00020078832453393318 1727322998,1727323010,12,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 100 n_permutations 19 update_interval 135 n_consecutive_deviations 1,100,19,135,1,0.28819253221720453,0,None,i7182,9,0.00015383485699599797 1727323018,1727323030,12,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 100 n_permutations 10 update_interval 137 n_consecutive_deviations 1,100,10,137,1,0.2867606564599625,0,None,i7182,9,0.00016754342554944158 1727323019,1727323031,12,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 100 n_permutations 10 update_interval 138 n_consecutive_deviations 3,100,10,138,3,0.28956933582993727,0,None,i7182,9,0.00017287124898095234 1727323018,1727323032,14,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 324 n_permutations 10 update_interval 151 n_consecutive_deviations 2,324,10,151,2,0.2776186804714176,0,None,i7182,11,0.0003099689007900893 1727323038,1727323050,12,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 100 n_permutations 10 update_interval 110 n_consecutive_deviations 2,100,10,110,2,0.2915519330322722,0,None,i7182,9,0.0001108576587661443 1727323038,1727323050,12,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 100 n_permutations 10 update_interval 101 n_consecutive_deviations 1,100,10,101,1,0.2916620773212909,0,None,i7182,9,9.591216178587196e-05 1727323038,1727323052,14,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 374 n_permutations 22 update_interval 143 n_consecutive_deviations 2,374,22,143,2,0.2846128428240996,0,None,i7182,11,0.00022102287329735256 1727323038,1727323058,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 1000 n_permutations 21 update_interval 156 n_consecutive_deviations 1,1000,21,156,1,0.28775195506113005,0,None,i7182,17,0.00027732758485043973 1727323058,1727323069,11,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 100 n_permutations 10 update_interval 139 n_consecutive_deviations 2,100,10,139,2,0.2861548628703602,0,None,i7186,9,0.00020078386019018225 1727323049,1727323070,21,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 460 n_permutations 19 update_interval 152 n_consecutive_deviations 2,460,19,152,2,0.2878620993501487,0,None,i7186,12,0.0002498972578809419 1727323058,1727323079,21,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 1000 n_permutations 50 update_interval 91 n_consecutive_deviations 5,1000,50,91,5,0.287917171494658,0,None,i7186,18,0.00010599501785695415 1727323338,1727323354,16,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 477 n_permutations 10 update_interval 142 n_consecutive_deviations 2,477,10,142,2,0.28362154422293206,0,None,i7182,13,0.00021957335538126346 1727323338,1727323355,17,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 535 n_permutations 10 update_interval 138 n_consecutive_deviations 1,535,10,138,1,0.2775636083269083,0,None,i7182,13,0.00022442443078693925 1727323349,1727323365,16,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 541 n_permutations 18 update_interval 141 n_consecutive_deviations 1,541,18,141,1,0.2811983698645225,0,None,i7182,13,0.00023725276540839915 1727323349,1727323366,17,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 576 n_permutations 10 update_interval 133 n_consecutive_deviations 1,576,10,133,1,0.2898446965524838,0,None,i7182,14,0.00015613436057375485 1727323358,1727323369,11,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 100 n_permutations 10 update_interval 152 n_consecutive_deviations 2,100,10,152,2,0.2891287586738628,0,None,i7182,8,0.00022163838550069186 1727323378,1727323391,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 221 n_permutations 20 update_interval 151 n_consecutive_deviations 2,221,20,151,2,0.29331424165657005,0,None,i7182,9,0.00021148838999708182 1727323378,1727323394,16,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 476 n_permutations 10 update_interval 149 n_consecutive_deviations 1,476,10,149,1,0.28147373058706904,0,None,i7182,12,0.00027112440373812765 1727323378,1727323394,16,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 486 n_permutations 10 update_interval 139 n_consecutive_deviations 2,486,10,139,2,0.2792708448066967,0,None,i7182,13,0.00023139556516515628 1727323398,1727323415,17,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 585 n_permutations 19 update_interval 142 n_consecutive_deviations 2,585,19,142,2,0.2905606344311047,0,None,i7182,14,0.00018790710251029714 1727323398,1727323416,18,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 665 n_permutations 22 update_interval 131 n_consecutive_deviations 1,665,22,131,1,0.2822998127547087,0,None,i7182,15,0.00018325062169470142 1727323398,1727323417,19,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 761 n_permutations 10 update_interval 133 n_consecutive_deviations 1,761,10,133,1,0.2932040973675515,0,None,i7182,16,0.00015124592628107514 1727323409,1727323424,15,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 424 n_permutations 50 update_interval 130 n_consecutive_deviations 3,424,50,130,3,0.28956933582993727,0,None,i7182,12,0.0001576537094579812 1727323418,1727323430,12,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 148 n_permutations 46 update_interval 162 n_consecutive_deviations 4,148,46,162,4,0.275360722546536,0,None,i7182,9,0.00042130190549619957 1727323418,1727323439,21,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 1000 n_permutations 50 update_interval 104 n_consecutive_deviations 5,1000,50,104,5,0.28665051217094395,0,None,i7182,18,0.00012323637505183457 1727323438,1727323456,18,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 694 n_permutations 10 update_interval 137 n_consecutive_deviations 1,694,10,137,1,0.27706795902632453,0,None,i7182,15,0.000222860040037663 1727323438,1727323459,21,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 1000 n_permutations 10 update_interval 108 n_consecutive_deviations 1,1000,10,108,1,0.28698094503799976,0,None,i7182,18,0.00011752368307197064 1727323738,1727323752,14,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 323 n_permutations 50 update_interval 159 n_consecutive_deviations 4,323,50,159,4,0.2858244300033044,0,None,i7182,11,0.0003384642214634499 1727323738,1727323753,15,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 376 n_permutations 29 update_interval 136 n_consecutive_deviations 1,376,29,136,1,0.28477805925762745,0,None,i7182,12,0.00018774594719081999 1727323738,1727323759,21,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 1000 n_permutations 50 update_interval 118 n_consecutive_deviations 2,1000,50,118,2,0.28819253221720453,0,None,i7182,18,0.0001353385838674469 1727323758,1727323770,12,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 100 n_permutations 50 update_interval 177 n_consecutive_deviations 5,100,50,177,5,0.29067077872012337,0,None,i7182,8,0.0004987783997036113 1727323758,1727323770,12,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 100 n_permutations 27 update_interval 158 n_consecutive_deviations 4,100,27,158,4,0.28967948011895583,0,None,i7182,8,0.00028268043795600056 1727323758,1727323780,22,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 1000 n_permutations 22 update_interval 120 n_consecutive_deviations 1,1000,22,120,1,0.28406212137900655,0,None,i7182,18,0.0001444852526925212 1727323769,1727323781,12,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 100 n_permutations 50 update_interval 165 n_consecutive_deviations 5,100,50,165,5,0.28439255424606236,0,None,i7182,8,0.00038423411592262746 1727323778,1727323790,12,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 100 n_permutations 50 update_interval 160 n_consecutive_deviations 3,100,50,160,3,0.2905606344311047,0,None,i7182,8,0.00027194009245279024 1727323798,1727323810,12,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 100 n_permutations 10 update_interval 146 n_consecutive_deviations 5,100,10,146,5,0.28620993501486947,0,None,i7182,8,0.00023828244703531911 1727323798,1727323814,16,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 507 n_permutations 50 update_interval 129 n_consecutive_deviations 5,507,50,129,5,0.2778389690494548,0,None,i7182,13,0.00021005211994999667 1727323798,1727323817,19,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 733 n_permutations 10 update_interval 135 n_consecutive_deviations 2,733,10,135,2,0.2834563277894041,0,None,i7182,15,0.00019496805182605295 1727323818,1727323830,12,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 100 n_permutations 50 update_interval 157 n_consecutive_deviations 4,100,50,157,4,0.2863751514483974,0,None,i7182,8,0.00029609776461485493 1727323818,1727323830,12,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 157 n_permutations 50 update_interval 162 n_consecutive_deviations 4,157,50,162,4,0.2794360612402247,0,None,i7182,9,0.00038941083741687404 1727323818,1727323837,19,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 745 n_permutations 20 update_interval 115 n_consecutive_deviations 1,745,20,115,1,0.2898446965524838,0,None,i7182,16,0.00011679341932682449 1727323829,1727323846,17,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 535 n_permutations 10 update_interval 127 n_consecutive_deviations 1,535,10,127,1,0.28736645004956496,0,None,i7182,13,0.00014726187857817856 1727324159,1727324172,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 161 n_permutations 38 update_interval 155 n_consecutive_deviations 3,161,38,155,3,0.28224474061019933,0,None,i7182,9,0.00030827366098109226 1727324159,1727324172,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 141 n_permutations 50 update_interval 131 n_consecutive_deviations 5,141,50,131,5,0.2738737746447847,0,None,i7182,9,0.00023528877303976358 1727324159,1727324174,15,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 368 n_permutations 50 update_interval 140 n_consecutive_deviations 5,368,50,140,5,0.2834012556448948,0,None,i7182,11,0.0002234286564522329 1727324180,1727324195,15,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 395 n_permutations 50 update_interval 143 n_consecutive_deviations 4,395,50,143,4,0.2861548628703602,0,None,i7182,12,0.00022517816096095206 1727324180,1727324196,16,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 519 n_permutations 50 update_interval 157 n_consecutive_deviations 4,519,50,157,4,0.2753056504020267,0,None,i7182,13,0.0003808860575095305 1727324180,1727324197,17,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 601 n_permutations 37 update_interval 131 n_consecutive_deviations 1,601,37,131,1,0.2884128207952418,0,None,i7182,14,0.00015729509767384298 1727324200,1727324212,12,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 100 n_permutations 50 update_interval 130 n_consecutive_deviations 2,100,50,130,2,0.28819253221720453,0,None,i7182,8,0.0001548673057006691 1727324200,1727324221,21,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 1000 n_permutations 38 update_interval 135 n_consecutive_deviations 5,1000,38,135,5,0.2859896464368322,0,None,i7182,17,0.00020488704609818517 1727324219,1727324231,12,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 100 n_permutations 40 update_interval 144 n_consecutive_deviations 1,100,40,144,1,0.28665051217094395,0,None,i7182,9,0.00018925586168674593 1727324220,1727324233,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 203 n_permutations 50 update_interval 117 n_consecutive_deviations 5,203,50,117,5,0.2879722436391673,0,None,i7182,10,0.00014224155115594058 1727324219,1727324236,17,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 560 n_permutations 50 update_interval 146 n_consecutive_deviations 4,560,50,146,4,0.2874765943385835,0,None,i7182,14,0.00023086894077546996 1727324240,1727324252,12,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 100 n_permutations 50 update_interval 135 n_consecutive_deviations 3,100,50,135,3,0.2865403678819253,0,None,i7186,8,0.0001824527535651857 1727324240,1727324257,17,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 555 n_permutations 50 update_interval 117 n_consecutive_deviations 1,555,50,117,1,0.2890736865293535,0,None,i7186,13,0.0001264505664431576 1727324520,1727324531,11,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 100 n_permutations 50 update_interval 142 n_consecutive_deviations 5,100,50,142,5,0.2808128648529574,0,None,i7182,9,0.0002466826012121959 1727324520,1727324535,15,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 467 n_permutations 50 update_interval 151 n_consecutive_deviations 5,467,50,151,5,0.280041854829827,0,None,i7182,12,0.0003085291732169142 1727324540,1727324554,14,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 244 n_permutations 50 update_interval 137 n_consecutive_deviations 5,244,50,137,5,0.2901751294195396,0,None,i7186,10,0.00017881724654438997 1727324540,1727324558,18,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 649 n_permutations 50 update_interval 163 n_consecutive_deviations 5,649,50,163,5,0.2805925762749202,0,None,i7186,14,0.0004405771560744569 1727324550,1727324564,14,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 321 n_permutations 50 update_interval 136 n_consecutive_deviations 5,321,50,136,5,0.28263024562176453,0,None,i7186,11,0.00021637131252819829 1727324550,1727324565,15,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 458 n_permutations 40 update_interval 136 n_consecutive_deviations 5,458,40,136,5,0.2852737085582112,0,None,i7186,12,0.00020792068117708775 1727324560,1727324577,17,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 626 n_permutations 50 update_interval 143 n_consecutive_deviations 5,626,50,143,5,0.28879832580680687,0,None,i7186,14,0.00022109059955920901 1727324580,1727324593,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 302 n_permutations 50 update_interval 147 n_consecutive_deviations 4,302,50,147,4,0.28097808128648527,0,None,i7186,11,0.0002853738397300463 1727324580,1727324600,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 1000 n_permutations 34 update_interval 124 n_consecutive_deviations 1,1000,34,124,1,0.2857142857142857,0,None,i7186,18,0.00014916780245925837 1727324600,1727324613,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 209 n_permutations 50 update_interval 143 n_consecutive_deviations 5,209,50,143,5,0.29144178874325366,0,None,i7186,9,0.0001977013851278814 1727324600,1727324617,17,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 623 n_permutations 38 update_interval 156 n_consecutive_deviations 5,623,38,156,5,0.2861548628703602,0,None,i7186,13,0.00030306997764555815 1727324602,1727324622,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 1000 n_permutations 50 update_interval 110 n_consecutive_deviations 1,1000,50,110,1,0.2873113779050557,0,None,i7186,17,0.00010912206823885905 1727324610,1727324629,19,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 993 n_permutations 50 update_interval 138 n_consecutive_deviations 4,993,50,138,4,0.28857803722876973,0,None,i7186,17,0.00019557671832151364 1727324925,1727324942,17,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 401 n_permutations 50 update_interval 170 n_consecutive_deviations 5,401,50,170,5,0.29364467452362597,0,None,i7183,12,0.00037683624807757364 1727324925,1727324942,17,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 389 n_permutations 50 update_interval 157 n_consecutive_deviations 5,389,50,157,5,0.2849432756911554,0,None,i7183,12,0.000306830519408997 1727324940,1727324951,11,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 100 n_permutations 39 update_interval 152 n_consecutive_deviations 5,100,39,152,5,0.2842273378125344,0,None,i7183,8,0.000281548603952076 1727324940,1727324955,15,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 433 n_permutations 50 update_interval 154 n_consecutive_deviations 3,433,50,154,3,0.28885339795131626,0,None,i7183,12,0.0002675858315569863 1727324940,1727324955,15,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 427 n_permutations 50 update_interval 155 n_consecutive_deviations 4,427,50,155,4,0.29259830377794915,0,None,i7183,12,0.0002576832440620665 1727324961,1727324979,18,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 774 n_permutations 44 update_interval 174 n_consecutive_deviations 5,774,44,174,5,0.29182729375481886,0,None,i7186,15,0.0006105140591317472 1727324961,1727324981,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 1000 n_permutations 50 update_interval 179 n_consecutive_deviations 5,1000,50,179,5,0.28775195506113005,0,None,i7186,17,0.0009706465469765391 1727324970,1727324991,21,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 1000 n_permutations 50 update_interval 198 n_consecutive_deviations 5,1000,50,198,5,0.28879832580680687,0,None,i7186,18,0.0009294829287591237 1727324981,1727324999,18,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 629 n_permutations 50 update_interval 117 n_consecutive_deviations 5,629,50,117,5,0.28808238792818597,0,None,i7186,15,0.00014366646393732283 1727325000,1727325014,14,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 315 n_permutations 42 update_interval 162 n_consecutive_deviations 5,315,42,162,5,0.2805925762749202,0,None,i7186,11,0.0004041384439179229 1727325330,1727325341,11,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 100 n_permutations 50 update_interval 134 n_consecutive_deviations 4,100,50,134,4,0.2887432536622976,0,None,i7182,9,0.00017142757764551257 1727325321,1727325342,21,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 1000 n_permutations 49 update_interval 184 n_consecutive_deviations 5,1000,49,184,5,0.30262143407864306,0,None,i7182,18,0.0007985460953849527 1727325321,1727325342,21,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 1000 n_permutations 10 update_interval 123 n_consecutive_deviations 2,1000,10,123,2,0.28709108932701843,0,None,i7182,18,0.000149059621416358 1727325341,1727325356,15,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 412 n_permutations 13 update_interval 136 n_consecutive_deviations 1,412,13,136,1,0.29375481881264454,0,None,i7182,12,0.00015316290755984675 1727325341,1727325362,21,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 1000 n_permutations 10 update_interval 132 n_consecutive_deviations 2,1000,10,132,2,0.28918383081837207,0,None,i7182,18,0.00017368907114473792 1727325360,1727325376,16,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 599 n_permutations 50 update_interval 122 n_consecutive_deviations 5,599,50,122,5,0.2898446965524838,0,None,i7186,14,0.00014541925739712462 1727325360,1727325377,17,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 583 n_permutations 10 update_interval 156 n_consecutive_deviations 4,583,10,156,4,0.2935345302346073,0,None,i7186,14,0.0002566569753546958 1727325381,1727325395,14,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 414 n_permutations 10 update_interval 117 n_consecutive_deviations 5,414,10,117,5,0.29639828174909133,0,None,i7186,12,0.00011533345765019026 1727325390,1727325402,12,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 100 n_permutations 50 update_interval 107 n_consecutive_deviations 1,100,50,107,1,0.29447075669126554,0,None,i7186,9,8.900051925164817e-05 1727325381,1727325402,21,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 1000 n_permutations 25 update_interval 108 n_consecutive_deviations 5,1000,25,108,5,0.2854389249917392,0,None,i7186,18,0.00013622302040185166 1727325401,1727325419,18,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 762 n_permutations 18 update_interval 139 n_consecutive_deviations 1,762,18,139,1,0.2901751294195396,0,None,i7186,15,0.00017881724654438997 1727325780,1727325794,14,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 345 n_permutations 43 update_interval 148 n_consecutive_deviations 5,345,43,148,5,0.27695781473730585,0,None,i7186,11,0.0003004459402026077 1727325801,1727325812,11,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 100 n_permutations 33 update_interval 146 n_consecutive_deviations 4,100,33,146,4,0.28736645004956496,0,None,i7186,8,0.00022369780603066175 1727325801,1727325813,12,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 100 n_permutations 50 update_interval 92 n_consecutive_deviations 1,100,50,92,1,0.29342438594558873,0,None,i7186,9,7.929961893491317e-05 1727325801,1727325814,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 276 n_permutations 40 update_interval 148 n_consecutive_deviations 4,276,40,148,4,0.28174909130961556,0,None,i7186,10,0.0002812507914780126 1727325810,1727325829,19,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 1000 n_permutations 50 update_interval 250 n_consecutive_deviations 1,1000,50,250,1,0.2868708007489812,0,None,i7186,17,0.0008367101253519294 1727325821,1727325840,19,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 819 n_permutations 39 update_interval 143 n_consecutive_deviations 5,819,39,143,5,0.2864302235929067,0,None,i7186,16,0.00022600361190140195 1727325840,1727325853,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 219 n_permutations 50 update_interval 107 n_consecutive_deviations 2,219,50,107,2,0.29105628373168846,0,None,i7186,10,0.00010233263731516659 1727325840,1727325853,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 332 n_permutations 20 update_interval 136 n_consecutive_deviations 3,332,20,136,3,0.27838969049454787,0,None,i7186,11,0.00022381319528582422 1727325861,1727325872,11,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 100 n_permutations 46 update_interval 150 n_consecutive_deviations 4,100,46,150,4,0.2841722656680251,0,None,i7186,8,0.00024960559028845176 1727325861,1727325881,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 1000 n_permutations 41 update_interval 133 n_consecutive_deviations 1,1000,41,133,1,0.2871461614715277,0,None,i7186,17,0.00017610756658386644 1727325870,1727325884,14,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 362 n_permutations 41 update_interval 150 n_consecutive_deviations 3,362,41,150,3,0.27816940191651063,0,None,i7186,11,0.0002880696789717605 1727326221,1727326236,15,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 512 n_permutations 41 update_interval 148 n_consecutive_deviations 4,512,41,148,4,0.27965634981826193,0,None,i7186,13,0.0002878244184091684 1727326221,1727326237,16,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 532 n_permutations 36 update_interval 145 n_consecutive_deviations 4,532,36,145,4,0.280041854829827,0,None,i7186,14,0.0002674932733309207 1727326245,1727326261,16,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 493 n_permutations 33 update_interval 141 n_consecutive_deviations 2,493,33,141,2,0.2791056283731689,0,None,i7186,12,0.0002433363918186566 1727326245,1727326261,16,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 604 n_permutations 41 update_interval 142 n_consecutive_deviations 4,604,41,142,4,0.2905606344311047,0,None,i7186,13,0.00019991942869817002 1727326245,1727326263,18,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 740 n_permutations 46 update_interval 151 n_consecutive_deviations 4,740,46,151,4,0.28070272056393875,0,None,i7186,15,0.0002963550759782607 1727326260,1727326271,11,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 100 n_permutations 36 update_interval 163 n_consecutive_deviations 5,100,36,163,5,0.28736645004956496,0,None,i7186,8,0.00036135799435722284 1727326260,1727326281,21,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 1000 n_permutations 30 update_interval 123 n_consecutive_deviations 5,1000,30,123,5,0.2884128207952418,0,None,i7186,18,0.00015783563065554002 1727326281,1727326292,11,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 100 n_permutations 31 update_interval 148 n_consecutive_deviations 5,100,31,148,5,0.2868708007489812,0,None,i7186,8,0.00023855371139207404 1727326281,1727326295,14,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 379 n_permutations 38 update_interval 143 n_consecutive_deviations 5,379,38,143,5,0.2831258949223483,0,None,i7186,11,0.0002382190436914215 1727326290,1727326311,21,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 1000 n_permutations 33 update_interval 146 n_consecutive_deviations 3,1000,33,146,3,0.29144178874325366,0,None,i7186,18,0.00022000615678333468 1727326301,1727326314,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 252 n_permutations 35 update_interval 143 n_consecutive_deviations 5,252,35,143,5,0.2880273157836766,0,None,i7186,10,0.00021847015817135542 1727326665,1727326681,16,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 559 n_permutations 40 update_interval 143 n_consecutive_deviations 3,559,40,143,3,0.2861548628703602,0,None,i7186,13,0.000215125564489481 1727326680,1727326693,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 268 n_permutations 38 update_interval 147 n_consecutive_deviations 3,268,38,147,3,0.2886881815177883,0,None,i7186,10,0.0002271383472548041 1727326685,1727326699,14,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 316 n_permutations 34 update_interval 154 n_consecutive_deviations 4,316,34,154,4,0.2786099790725851,0,None,i7186,11,0.00033174410859177866 1727326705,1727326719,14,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 292 n_permutations 34 update_interval 151 n_consecutive_deviations 3,292,34,151,3,0.28472298711311816,0,None,i7186,10,0.00027263737474113054 1727326705,1727326721,16,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 475 n_permutations 42 update_interval 146 n_consecutive_deviations 3,475,42,146,3,0.27855490692807583,0,None,i7186,12,0.0002875674349893201 1727326725,1727326738,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 209 n_permutations 50 update_interval 152 n_consecutive_deviations 5,209,50,152,5,0.2968939310496751,0,None,i7186,9,0.0002190078304905004 1727326725,1727326739,14,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 304 n_permutations 31 update_interval 141 n_consecutive_deviations 3,304,31,141,3,0.27624187685868484,0,None,i7186,10,0.0002640959657150867 1727326740,1727326756,16,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 565 n_permutations 27 update_interval 122 n_consecutive_deviations 1,565,27,122,1,0.287201233616037,0,None,i7186,13,0.0001487121630913783 1727326740,1727326761,21,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 1000 n_permutations 10 update_interval 108 n_consecutive_deviations 4,1000,10,108,4,0.2913316444542351,0,None,i7186,18,0.00011171777886173722 1727326770,1727326785,15,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 471 n_permutations 50 update_interval 140 n_consecutive_deviations 5,471,50,140,5,0.28224474061019933,0,None,i7186,12,0.00023681022139002088 1727326765,1727326786,21,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 1000 n_permutations 50 update_interval 250 n_consecutive_deviations 5,1000,50,250,5,0.28956933582993727,0,None,i7186,18,0.0008034632511447125 1727326765,1727326786,21,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 1000 n_permutations 10 update_interval 96 n_consecutive_deviations 5,1000,10,96,5,0.2895142636854279,0,None,i7186,18,0.00010281817805177993 1727327220,1727327233,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 243 n_permutations 24 update_interval 147 n_consecutive_deviations 3,243,24,147,3,0.28962440797444655,0,None,i7186,10,0.00020799340158863896 1727327227,1727327241,14,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 404 n_permutations 35 update_interval 157 n_consecutive_deviations 5,404,35,157,5,0.29215772662187467,0,None,i7186,11,0.0002686959407269379 1727327247,1727327261,14,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 297 n_permutations 33 update_interval 143 n_consecutive_deviations 2,297,33,143,2,0.27805925762749206,0,None,i7186,10,0.00025239341564355094 1727327247,1727327261,14,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 364 n_permutations 37 update_interval 141 n_consecutive_deviations 4,364,37,141,4,0.2835113999339134,0,None,i7186,11,0.00022491853708889617 1727327267,1727327281,14,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 336 n_permutations 16 update_interval 139 n_consecutive_deviations 2,336,16,139,2,0.27734331974887105,0,None,i7186,11,0.00024152402358954607 1727327267,1727327282,15,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 392 n_permutations 50 update_interval 148 n_consecutive_deviations 3,392,50,148,3,0.28483313140213684,0,None,i7186,12,0.0002450983065042925 1727327280,1727327294,14,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 315 n_permutations 36 update_interval 148 n_consecutive_deviations 2,315,36,148,2,0.28108822557550395,0,None,i7186,11,0.0002788207525680627 1727327287,1727327303,16,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 486 n_permutations 45 update_interval 145 n_consecutive_deviations 2,486,45,145,2,0.2761317325696663,0,None,i7186,12,0.0002745813997468757 1727327307,1727327320,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 254 n_permutations 42 update_interval 135 n_consecutive_deviations 4,254,42,135,4,0.2858244300033044,0,None,i7186,10,0.00018518534088816623 1727327310,1727327323,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 286 n_permutations 40 update_interval 140 n_consecutive_deviations 3,286,40,140,3,0.2786650512170944,0,None,i7186,10,0.00025080152296806093 1727327327,1727327341,14,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 353 n_permutations 10 update_interval 137 n_consecutive_deviations 3,353,10,137,3,0.2804824319859015,0,None,i7186,11,0.00021630745915703783 1727327773,1727327788,15,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 391 n_permutations 29 update_interval 141 n_consecutive_deviations 2,391,29,141,2,0.28736645004956496,0,None,i7186,11,0.00019821324584995344 1727327790,1727327804,14,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 431 n_permutations 35 update_interval 142 n_consecutive_deviations 3,431,35,142,3,0.2846679149686089,0,None,i7186,11,0.00022786731352016074 1727327793,1727327811,18,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 664 n_permutations 50 update_interval 103 n_consecutive_deviations 5,664,50,103,5,0.2880273157836766,0,None,i7186,15,0.00011521311823962028 1727327813,1727327826,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 290 n_permutations 49 update_interval 158 n_consecutive_deviations 3,290,49,158,3,0.2842824099570437,0,None,i7186,10,0.00030524743511561127 1727327813,1727327829,16,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 557 n_permutations 22 update_interval 150 n_consecutive_deviations 1,557,22,150,1,0.29000991298601164,0,None,i7186,13,0.0002250169944849976 1727327833,1727327853,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 1000 n_permutations 19 update_interval 250 n_consecutive_deviations 1,1000,19,250,1,0.29816059037338916,0,None,i7186,17,0.0007280537504130402 1727327850,1727327866,16,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 549 n_permutations 37 update_interval 145 n_consecutive_deviations 1,549,37,145,1,0.28472298711311816,0,None,i7186,13,0.00022251122064074333 1727327850,1727327870,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 1000 n_permutations 10 update_interval 240 n_consecutive_deviations 1,1000,10,240,1,0.2875867386276022,0,None,i7186,17,0.0009587048829885503 1727327873,1727327887,14,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 369 n_permutations 41 update_interval 142 n_consecutive_deviations 2,369,41,142,2,0.2819143077431435,0,None,i7186,11,0.00023405661416455538 1727327873,1727327888,15,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 429 n_permutations 42 update_interval 152 n_consecutive_deviations 2,429,42,152,2,0.28890847009582554,0,None,i7186,12,0.0002482760613124502 1727327880,1727327894,14,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 419 n_permutations 18 update_interval 146 n_consecutive_deviations 1,419,18,146,1,0.29265337592245844,0,None,i7186,12,0.00019758110613054733 1727327893,1727327906,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 225 n_permutations 23 update_interval 131 n_consecutive_deviations 2,225,23,131,2,0.29221279876638395,0,None,i7186,9,0.0001473083585651048 1727327910,1727327924,14,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 414 n_permutations 23 update_interval 137 n_consecutive_deviations 2,414,23,137,2,0.29226787091089323,0,None,i7186,11,0.00016630481583047703 1727328321,1727328337,16,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 317 n_permutations 12 update_interval 133 n_consecutive_deviations 2,317,12,133,2,0.2824099570437273,0,None,i7186,11,0.0002028634073135806 1727328341,1727328358,17,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 609 n_permutations 28 update_interval 139 n_consecutive_deviations 3,609,28,139,3,0.2946910452693028,0,None,i7186,14,0.00016385100845744271 1727328360,1727328375,15,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 492 n_permutations 50 update_interval 144 n_consecutive_deviations 3,492,50,144,3,0.280041854829827,0,None,i7186,12,0.00026618203179498484 1727328360,1727328378,18,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 792 n_permutations 18 update_interval 150 n_consecutive_deviations 1,792,18,150,1,0.29000991298601164,0,None,i7186,15,0.00023333198068416992 1727328381,1727328395,14,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 308 n_permutations 46 update_interval 152 n_consecutive_deviations 2,308,46,152,2,0.2820244520321621,0,None,i7186,11,0.00029065854046578796 1727328381,1727328398,17,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 659 n_permutations 23 update_interval 147 n_consecutive_deviations 2,659,23,147,2,0.28218966846569005,0,None,i7186,14,0.00025818475668472216 1727328390,1727328404,14,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 326 n_permutations 30 update_interval 133 n_consecutive_deviations 5,326,30,133,5,0.2804273598413922,0,None,i7186,11,0.00021310525484036246 1727328401,1727328414,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 267 n_permutations 10 update_interval 144 n_consecutive_deviations 3,267,10,144,3,0.28857803722876973,0,None,i7186,10,0.00020993097287722105 1727328420,1727328436,16,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 606 n_permutations 50 update_interval 138 n_consecutive_deviations 3,606,50,138,3,0.2875867386276022,0,None,i7186,13,0.00018929656149150494 1727328441,1727328457,16,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 513 n_permutations 44 update_interval 151 n_consecutive_deviations 3,513,44,151,3,0.27552593898006383,0,None,i7186,13,0.00032140464664448136 1727328441,1727328462,21,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 1000 n_permutations 50 update_interval 144 n_consecutive_deviations 1,1000,50,144,1,0.2865403678819253,0,None,i7186,17,0.00021927807997283784 1727328450,1727328470,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 1000 n_permutations 50 update_interval 97 n_consecutive_deviations 3,1000,50,97,3,0.2923780151999119,0,None,i7186,17,8.872087550970827e-05 1727328885,1727328899,14,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 388 n_permutations 42 update_interval 147 n_consecutive_deviations 4,388,42,147,4,0.28703601718250904,0,None,i7186,11,0.00023419293135393507 1727328900,1727328914,14,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 393 n_permutations 45 update_interval 148 n_consecutive_deviations 3,393,45,148,3,0.2895142636854279,0,None,i7186,11,0.00021974865505184339 1727328925,1727328938,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 187 n_permutations 42 update_interval 147 n_consecutive_deviations 3,187,42,147,3,0.2880273157836766,0,None,i7186,9,0.00023274207805189625 1727328925,1727328941,16,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 587 n_permutations 10 update_interval 155 n_consecutive_deviations 1,587,10,155,1,0.2908910672981606,0,None,i7186,13,0.00025539304442035414 1727328930,1727328950,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 1000 n_permutations 31 update_interval 119 n_consecutive_deviations 3,1000,31,119,3,0.28659544002643467,0,None,i7186,17,0.00014512932914762693 1727328945,1727328958,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 273 n_permutations 50 update_interval 147 n_consecutive_deviations 2,273,50,147,2,0.2875316664830928,0,None,i7186,10,0.00022723943122772387 1727328960,1727328975,15,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 473 n_permutations 45 update_interval 144 n_consecutive_deviations 4,473,45,144,4,0.28400704923449716,0,None,i7186,12,0.00024674480432111163 1727328965,1727328977,12,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 100 n_permutations 39 update_interval 136 n_consecutive_deviations 5,100,39,136,5,0.2880273157836766,0,None,i7186,9,0.00018021662853045663 1727328985,1727329000,15,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 370 n_permutations 44 update_interval 156 n_consecutive_deviations 3,370,44,156,3,0.2841722656680251,0,None,i7186,12,0.0003004234948980767 1727328990,1727329010,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 1000 n_permutations 50 update_interval 229 n_consecutive_deviations 1,1000,50,229,1,0.29331424165657005,0,None,i7186,17,0.0007638710414346503 1727329501,1727329515,14,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 288 n_permutations 30 update_interval 145 n_consecutive_deviations 4,288,30,145,4,0.2787201233616037,0,None,i7186,10,0.000276730676390051 1727329521,1727329533,12,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 100 n_permutations 10 update_interval 168 n_consecutive_deviations 4,100,10,168,4,0.28224474061019933,0,None,i7186,8,0.0004378004092924756 1727329530,1727329551,21,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 993 n_permutations 10 update_interval 125 n_consecutive_deviations 1,993,10,125,1,0.286485295737416,0,None,i7186,18,0.00015097064220374743 1727329541,1727329553,12,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 100 n_permutations 31 update_interval 131 n_consecutive_deviations 4,100,31,131,4,0.287201233616037,0,None,i7186,9,0.00017205020328455082 1727329560,1727329571,11,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 100 n_permutations 13 update_interval 160 n_consecutive_deviations 5,100,13,160,5,0.2835113999339134,0,None,i7186,8,0.00033441835119796406 1727329560,1727329581,21,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 1000 n_permutations 10 update_interval 107 n_consecutive_deviations 2,1000,10,107,2,0.28659544002643467,0,None,i7186,18,0.00011422858681715134 1727329581,1727329593,12,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 100 n_permutations 42 update_interval 122 n_consecutive_deviations 5,100,42,122,5,0.2868708007489812,0,None,i7186,9,0.00016426362825959422 1727329590,1727329611,21,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 1000 n_permutations 14 update_interval 142 n_consecutive_deviations 1,1000,14,142,1,0.28516356426919265,0,None,i7186,18,0.00021289794392558993 1727329602,1727329616,14,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 450 n_permutations 16 update_interval 154 n_consecutive_deviations 3,450,16,154,3,0.29144178874325366,0,None,i7186,12,0.00025088421387573255 1727329620,1727329634,14,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 405 n_permutations 13 update_interval 130 n_consecutive_deviations 3,405,13,130,3,0.292047582332856,0,None,i7186,11,0.00015492823070750158 1727330085,1727330100,15,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 461 n_permutations 35 update_interval 151 n_consecutive_deviations 4,461,35,151,4,0.28334618350038554,0,None,i7186,12,0.00027565840981415345 1727330100,1727330118,18,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 696 n_permutations 10 update_interval 133 n_consecutive_deviations 3,696,10,133,3,0.27651723758123137,0,None,i7186,15,0.00023506403144216487 1727330105,1727330118,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 218 n_permutations 17 update_interval 155 n_consecutive_deviations 5,218,17,155,5,0.28736645004956496,0,None,i7186,10,0.00031464551896317474 1727330125,1727330136,11,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 100 n_permutations 37 update_interval 174 n_consecutive_deviations 4,100,37,174,4,0.2831809670668576,0,None,i7186,8,0.0004826605872560976 1727330125,1727330136,11,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 100 n_permutations 34 update_interval 168 n_consecutive_deviations 4,100,34,168,4,0.28108822557550395,0,None,i7186,8,0.00046308490209130416 1727330145,1727330158,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 205 n_permutations 31 update_interval 138 n_consecutive_deviations 4,205,31,138,4,0.2924881594889305,0,None,i7186,9,0.00017810565883861042 1727330160,1727330174,14,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 417 n_permutations 30 update_interval 137 n_consecutive_deviations 4,417,30,137,4,0.28929397510739063,0,None,i7186,11,0.00018928157230509786 1727330165,1727330177,12,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 138 n_permutations 10 update_interval 146 n_consecutive_deviations 1,138,10,146,1,0.2729926203326357,0,None,i7186,9,0.0002880299013303672 1727330185,1727330197,12,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 147 n_permutations 36 update_interval 135 n_consecutive_deviations 3,147,36,135,3,0.27960127767375265,0,None,i7186,9,0.0002081433902747197 1727330185,1727330202,17,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 602 n_permutations 35 update_interval 126 n_consecutive_deviations 5,602,35,126,5,0.29067077872012337,0,None,i7186,14,0.00015486599502085303 1727330719,1727330739,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 800 n_permutations 50 update_interval 131 n_consecutive_deviations 5,800,50,131,5,0.2906157065756141,0,None,i7186,16,0.00016883120749185265 1727330739,1727330751,12,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 100 n_permutations 30 update_interval 126 n_consecutive_deviations 1,100,30,126,1,0.2894591915409186,0,None,i7186,8,0.00014339871493637487 1727330759,1727330771,12,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 100 n_permutations 22 update_interval 169 n_consecutive_deviations 5,100,22,169,5,0.2856592135697764,0,None,i7186,8,0.00043467656916274563 1727330759,1727330774,15,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 463 n_permutations 10 update_interval 142 n_consecutive_deviations 1,463,10,142,1,0.2828505341998018,0,None,i7186,12,0.00022099766144292768 1727330779,1727330800,21,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 1000 n_permutations 10 update_interval 139 n_consecutive_deviations 5,1000,10,139,5,0.28769688291662077,0,None,i7186,17,0.00021011759639361782 1727330790,1727330803,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 326 n_permutations 19 update_interval 155 n_consecutive_deviations 4,326,19,155,4,0.2789404119396409,0,None,i7186,10,0.0003551447267715577 1727330799,1727330820,21,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 1000 n_permutations 50 update_interval 110 n_consecutive_deviations 5,1000,50,110,5,0.2838418328009693,0,None,i7186,18,0.00014595709975443532 1727330819,1727330833,14,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 301 n_permutations 40 update_interval 158 n_consecutive_deviations 4,301,40,158,4,0.2793259169512061,0,None,i7186,10,0.0003526735407999859 1727330839,1727330855,16,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 538 n_permutations 43 update_interval 156 n_consecutive_deviations 3,538,43,156,3,0.28174909130961556,0,None,i7186,13,0.0002971406667027591 1727330839,1727330857,18,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 722 n_permutations 10 update_interval 156 n_consecutive_deviations 2,722,10,156,2,0.2838418328009693,0,None,i7186,15,0.0003079338811892355 1727331379,1727331394,15,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 425 n_permutations 43 update_interval 161 n_consecutive_deviations 4,425,43,161,4,0.28995484084150236,0,None,i7186,11,0.00032165324981522876 1727331399,1727331416,17,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 668 n_permutations 50 update_interval 154 n_consecutive_deviations 5,668,50,154,5,0.2842824099570437,0,None,i7186,14,0.0003109352755214922 1727331419,1727331430,11,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 100 n_permutations 10 update_interval 180 n_consecutive_deviations 5,100,10,180,5,0.2912765723097257,0,None,i7186,8,0.0006160212735826787 1727331419,1727331431,12,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 141 n_permutations 37 update_interval 155 n_consecutive_deviations 4,141,37,155,4,0.2727723317545985,0,None,i7186,9,0.00036868657222398474 1727331439,1727331451,12,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 163 n_permutations 37 update_interval 160 n_consecutive_deviations 4,163,37,160,4,0.2782795462055292,0,None,i7186,9,0.0003839961856881831 1727331450,1727331463,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 314 n_permutations 46 update_interval 152 n_consecutive_deviations 4,314,46,152,4,0.2777838969049454,0,None,i7186,10,0.00032883193262243313 1727331459,1727331475,16,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 481 n_permutations 50 update_interval 151 n_consecutive_deviations 4,481,50,151,4,0.2779491133384734,0,None,i7186,12,0.00030816325670781714 1727331479,1727331492,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 283 n_permutations 47 update_interval 145 n_consecutive_deviations 3,283,47,145,3,0.2867606564599625,0,None,i7186,10,0.0002332467296864775 1727331499,1727331511,12,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 100 n_permutations 10 update_interval 161 n_consecutive_deviations 4,100,10,161,4,0.2843374821015531,0,None,i7186,8,0.00032261617557710224 1727331499,1727331511,12,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 100 n_permutations 44 update_interval 150 n_consecutive_deviations 2,100,44,150,2,0.29408525167970045,0,None,i7186,8,0.00018551952827789618 1727332125,1727332139,14,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 294 n_permutations 40 update_interval 153 n_consecutive_deviations 3,294,40,153,3,0.2801519991188457,0,None,i7186,10,0.00032256541784022756 1727332140,1727332152,12,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 207 n_permutations 36 update_interval 160 n_consecutive_deviations 3,207,36,160,3,0.2987663839629915,0,None,i7186,9,0.0002386459595403312 1727332165,1727332176,11,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 100 n_permutations 50 update_interval 250 n_consecutive_deviations 1,100,50,250,1,0.2908359951536513,0,None,i7186,8,0.0005438374270294074 1727332165,1727332181,16,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 493 n_permutations 33 update_interval 164 n_consecutive_deviations 4,493,33,164,4,0.27624187685868484,0,None,i7186,12,0.00046480889965855266 1727332185,1727332198,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 248 n_permutations 40 update_interval 155 n_consecutive_deviations 4,248,40,155,4,0.29039541799757684,0,None,i7186,10,0.0002679729958440676 1727332200,1727332214,14,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 354 n_permutations 24 update_interval 159 n_consecutive_deviations 2,354,24,159,2,0.28213459632118076,0,None,i7186,11,0.0003390155389274231 1727332205,1727332217,12,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 100 n_permutations 10 update_interval 167 n_consecutive_deviations 5,100,10,167,5,0.2842273378125344,0,None,i7186,8,0.00041078402871696335 1727332225,1727332236,11,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 100 n_permutations 10 update_interval 182 n_consecutive_deviations 5,100,10,182,5,0.29336931380107945,0,None,i7186,8,0.0006241509711054806 1727332225,1727332237,12,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 171 n_permutations 17 update_interval 145 n_consecutive_deviations 3,171,17,145,3,0.28670558431545323,0,None,i7186,9,0.0002405929545482358 1727332245,1727332257,12,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 204 n_permutations 25 update_interval 160 n_consecutive_deviations 3,204,25,160,3,0.29414032382420974,0,None,i7186,9,0.0002892278092934834 1727332918,1727332942,24,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 1000 n_permutations 10 update_interval 185 n_consecutive_deviations 5,1000,10,185,5,0.29034034585306756,0,None,i7186,17,0.0015793904300347716 1727332938,1727332956,18,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 677 n_permutations 10 update_interval 127 n_consecutive_deviations 2,677,10,127,2,0.2790505562286596,0,None,i7186,14,0.00018492452537573355 1727332950,1727332964,14,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 376 n_permutations 34 update_interval 160 n_consecutive_deviations 4,376,34,160,4,0.28659544002643467,0,None,i7186,11,0.00031620893569251165 1727332958,1727332972,14,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 389 n_permutations 47 update_interval 136 n_consecutive_deviations 4,389,47,136,4,0.29039541799757684,0,None,i7186,11,0.00017937784211602891 1727332978,1727332994,16,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 617 n_permutations 43 update_interval 156 n_consecutive_deviations 4,617,43,156,4,0.2908359951536513,0,None,i7186,13,0.0002719187135147037 1727332998,1727333012,14,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 409 n_permutations 42 update_interval 153 n_consecutive_deviations 5,409,42,153,5,0.2874765943385835,0,None,i7186,11,0.00026628633509897956 1727332998,1727333013,15,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 387 n_permutations 10 update_interval 169 n_consecutive_deviations 3,387,10,169,3,0.28411719352351583,0,None,i7186,11,0.00048762908536396205 1727333010,1727333025,15,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 520 n_permutations 10 update_interval 145 n_consecutive_deviations 3,520,10,145,3,0.2771781033153431,0,None,i7186,12,0.0002774994466051497 1727333038,1727333050,12,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 100 n_permutations 23 update_interval 153 n_consecutive_deviations 4,100,23,153,4,0.28549399713624846,0,None,i7186,8,0.0002598350647859333 1727333038,1727333055,17,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 572 n_permutations 16 update_interval 134 n_consecutive_deviations 1,572,16,134,1,0.2842824099570437,0,None,i7186,13,0.00018137891072087046 1727333058,1727333074,16,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 543 n_permutations 50 update_interval 153 n_consecutive_deviations 3,543,50,153,3,0.2782244740610199,0,None,i7186,13,0.00031527255761226974 1727333765,1727333780,15,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 394 n_permutations 33 update_interval 147 n_consecutive_deviations 3,394,33,147,3,0.287917171494658,0,None,i7186,11,0.00023329556694143676 1727333790,1727333801,11,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 100 n_permutations 10 update_interval 120 n_consecutive_deviations 3,100,10,120,3,0.28852296508426034,0,None,i7186,8,0.00013677619173654802 1727333785,1727333806,21,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 968 n_permutations 50 update_interval 138 n_consecutive_deviations 5,968,50,138,5,0.28665051217094395,0,None,i7186,18,0.0002110286599338937 1727333805,1727333821,16,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 558 n_permutations 10 update_interval 138 n_consecutive_deviations 4,558,10,138,4,0.28620993501486947,0,None,i7186,13,0.00021110988728567745 1727333820,1727333833,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 314 n_permutations 24 update_interval 150 n_consecutive_deviations 4,314,24,150,4,0.2772331754598524,0,None,i7186,10,0.00031727674364528637 1727333845,1727333861,16,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 479 n_permutations 10 update_interval 148 n_consecutive_deviations 5,479,10,148,5,0.2804273598413922,0,None,i7186,13,0.00028831887419578453 1727333850,1727333864,14,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 376 n_permutations 43 update_interval 126 n_consecutive_deviations 5,376,43,126,5,0.28703601718250904,0,None,i7186,11,0.00016369194509859822 1727333865,1727333881,16,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 544 n_permutations 50 update_interval 147 n_consecutive_deviations 2,544,50,147,2,0.2815838748760877,0,None,i7186,13,0.0002512338782853153 1727333880,1727333896,16,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 529 n_permutations 10 update_interval 135 n_consecutive_deviations 2,529,10,135,2,0.27888533979513164,0,None,i7186,13,0.0002069315280629563 1727333885,1727333901,16,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 494 n_permutations 10 update_interval 140 n_consecutive_deviations 3,494,10,140,3,0.2787201233616037,0,None,i7186,13,0.00024183854762782717 1727333905,1727333923,18,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 706 n_permutations 44 update_interval 164 n_consecutive_deviations 2,706,44,164,2,0.28252010133274585,0,None,i7186,14,0.00039259763623680354 1727334630,1727334649,19,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 642 n_permutations 34 update_interval 135 n_consecutive_deviations 2,642,34,135,2,0.28362154422293206,0,None,i7186,14,0.00019969072871288133 1727334646,1727334665,19,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 780 n_permutations 10 update_interval 142 n_consecutive_deviations 2,780,10,142,2,0.29623306531556337,0,None,i7186,15,0.0001686279823028343 1727334660,1727334678,18,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 769 n_permutations 33 update_interval 142 n_consecutive_deviations 4,769,33,142,4,0.2906157065756141,0,None,i7186,15,0.00020822515590661827 1727334686,1727334700,14,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 347 n_permutations 10 update_interval 144 n_consecutive_deviations 4,347,10,144,4,0.2779491133384734,0,None,i7186,11,0.00027509207793917335 1727334686,1727334702,16,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 472 n_permutations 10 update_interval 148 n_consecutive_deviations 2,472,10,148,2,0.2805375041304108,0,None,i7186,12,0.00027451778155914867 1727334706,1727334724,18,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 767 n_permutations 43 update_interval 141 n_consecutive_deviations 3,767,43,141,3,0.29144178874325366,0,None,i7186,15,0.0001923820653486559 1727334720,1727334734,14,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 370 n_permutations 10 update_interval 139 n_consecutive_deviations 2,370,10,139,2,0.2839519770899879,0,None,i7186,11,0.0002056776009225145 1727334726,1727334746,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 964 n_permutations 28 update_interval 136 n_consecutive_deviations 2,964,28,136,2,0.2897896244079744,0,None,i7186,17,0.00017540694845680915 1727334746,1727334767,21,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 1000 n_permutations 25 update_interval 115 n_consecutive_deviations 2,1000,25,115,2,0.28742152219407424,0,None,i7186,17,0.00013143268101380864 1727334766,1727334786,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 1000 n_permutations 10 update_interval 160 n_consecutive_deviations 5,1000,10,160,5,0.2819143077431435,0,None,i7186,17,0.0003971869816125788 1727335401,1727335413,12,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 174 n_permutations 10 update_interval 149 n_consecutive_deviations 4,174,10,149,4,0.28852296508426034,0,None,i7186,9,0.00026308750177017615 1727335421,1727335434,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 282 n_permutations 10 update_interval 153 n_consecutive_deviations 5,282,10,153,5,0.2843374821015531,0,None,i7186,10,0.0003247110858081224 1727335440,1727335458,18,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 786 n_permutations 10 update_interval 164 n_consecutive_deviations 5,786,10,164,5,0.28929397510739063,0,None,i7186,15,0.00038177130685265504 1727335461,1727335475,14,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 269 n_permutations 10 update_interval 156 n_consecutive_deviations 3,269,10,156,3,0.2820795241766715,0,None,i7186,10,0.00032063475545602725 1727335461,1727335475,14,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 385 n_permutations 19 update_interval 142 n_consecutive_deviations 3,385,19,142,3,0.285769357858795,0,None,i7186,11,0.00021398075531810107 1727335470,1727335482,12,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 136 n_permutations 23 update_interval 152 n_consecutive_deviations 3,136,23,152,3,0.2730476924771451,0,None,i7186,9,0.00034435560021830796 1727335500,1727335511,11,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 100 n_permutations 50 update_interval 187 n_consecutive_deviations 5,100,50,187,5,0.2950214781363586,0,None,i7186,8,0.0005648828536811796 1727335521,1727335534,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 240 n_permutations 10 update_interval 162 n_consecutive_deviations 3,240,10,162,3,0.29221279876638395,0,None,i7186,10,0.00031140058182100894 1727335521,1727335536,15,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 429 n_permutations 10 update_interval 148 n_consecutive_deviations 3,429,10,148,3,0.2939751073906818,0,None,i7186,12,0.00020701477910421614 1727336114,1727336131,17,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 432 n_permutations 10 update_interval 131 n_consecutive_deviations 2,432,10,131,2,0.2917171494658002,0,None,i7186,12,0.00014648054931341493 1727336130,1727336143,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 251 n_permutations 10 update_interval 147 n_consecutive_deviations 2,251,10,147,2,0.2878620993501487,0,None,i7186,10,0.00022133757126597715 1727336153,1727336169,16,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 532 n_permutations 22 update_interval 162 n_consecutive_deviations 3,532,22,162,3,0.28114329772001323,0,None,i7186,13,0.000414108373442077 1727336160,1727336171,11,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 100 n_permutations 10 update_interval 144 n_consecutive_deviations 2,100,10,144,2,0.28362154422293206,0,None,i7186,8,0.0002205280221437907 1727336173,1727336194,21,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 1000 n_permutations 50 update_interval 118 n_consecutive_deviations 1,1000,50,118,1,0.28549399713624846,0,None,i7186,18,0.00013721627016785243 1727336190,1727336210,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 1000 n_permutations 10 update_interval 139 n_consecutive_deviations 5,1000,10,139,5,0.287201233616037,0,None,i7186,17,0.00021139800762317006 1727336213,1727336225,12,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 100 n_permutations 10 update_interval 146 n_consecutive_deviations 3,100,10,146,3,0.28439255424606236,0,None,i7186,8,0.00022808417840155967 1727336220,1727336234,14,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 335 n_permutations 10 update_interval 154 n_consecutive_deviations 4,335,10,154,4,0.28213459632118076,0,None,i7186,10,0.0003145083915350793 1727336233,1727336253,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 1000 n_permutations 33 update_interval 157 n_consecutive_deviations 5,1000,33,157,5,0.2880273157836766,0,None,i7186,17,0.0003081851795388384 1727337066,1727337087,21,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 1000 n_permutations 38 update_interval 150 n_consecutive_deviations 1,1000,38,150,1,0.28296067848882034,0,None,i7186,17,0.0002690173341737361 1727337086,1727337106,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 1000 n_permutations 27 update_interval 156 n_consecutive_deviations 4,1000,27,156,4,0.29067077872012337,0,None,i7186,17,0.0002799500679223113 1727337106,1727337121,15,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 442 n_permutations 12 update_interval 138 n_consecutive_deviations 5,442,12,138,5,0.28334618350038554,0,None,i7186,12,0.00022367020094569466 1727337120,1727337135,15,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 482 n_permutations 10 update_interval 171 n_consecutive_deviations 5,482,10,171,5,0.2753056504020267,0,None,i7186,12,0.0007112932399274364 1727337130,1727337143,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 315 n_permutations 10 update_interval 140 n_consecutive_deviations 5,315,10,140,5,0.27811432977200135,0,None,i7186,11,0.0002510208015357258 1727337146,1727337157,11,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 100 n_permutations 10 update_interval 164 n_consecutive_deviations 2,100,10,164,2,0.28857803722876973,0,None,i7186,8,0.00030714732944452474 1727337166,1727337180,14,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 359 n_permutations 21 update_interval 161 n_consecutive_deviations 4,359,21,161,4,0.2859896464368322,0,None,i7186,11,0.00034538102056551215 1727337180,1727337192,12,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 160 n_permutations 29 update_interval 146 n_consecutive_deviations 2,160,29,146,2,0.28411719352351583,0,None,i7186,9,0.00024620488133572595 1727337186,1727337199,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 239 n_permutations 10 update_interval 138 n_consecutive_deviations 5,239,10,138,5,0.28879832580680687,0,None,i7186,10,0.00019716304549435956 1727337206,1727337220,14,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 370 n_permutations 10 update_interval 142 n_consecutive_deviations 1,370,10,142,1,0.2853838528472299,0,None,i7186,11,0.00022666266883691682 1727338016,1727338033,17,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 417 n_permutations 10 update_interval 162 n_consecutive_deviations 5,417,10,162,5,0.2952968388589051,0,None,i7186,11,0.00031163840504076226 1727338036,1727338048,12,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 115 n_permutations 30 update_interval 157 n_consecutive_deviations 5,115,30,157,5,0.2778940411939641,0,None,i7186,8,0.0004150657950149987 1727338050,1727338064,14,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 372 n_permutations 24 update_interval 158 n_consecutive_deviations 5,372,24,158,5,0.2834563277894041,0,None,i7186,11,0.0003438287940986474 1727338076,1727338092,16,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 482 n_permutations 16 update_interval 156 n_consecutive_deviations 5,482,16,156,5,0.27728824760436166,0,None,i7186,12,0.0003778459716002799 1727338076,1727338092,16,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 593 n_permutations 16 update_interval 161 n_consecutive_deviations 5,593,16,161,5,0.29232294305540263,0,None,i7186,13,0.0003083236119608652 1727338096,1727338114,18,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 726 n_permutations 10 update_interval 158 n_consecutive_deviations 5,726,10,158,5,0.2837867606564599,0,None,i7186,15,0.0003585548131882554 1727338110,1727338126,16,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 569 n_permutations 10 update_interval 160 n_consecutive_deviations 5,569,10,160,5,0.2910012115871792,0,None,i7186,13,0.00032344610245391603 1727338136,1727338149,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 279 n_permutations 10 update_interval 133 n_consecutive_deviations 4,279,10,133,4,0.2834012556448948,0,None,i7186,10,0.00019443409798133244 1727338136,1727338152,16,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 502 n_permutations 28 update_interval 155 n_consecutive_deviations 3,502,28,155,3,0.2735433417777289,0,None,i7186,13,0.0003640697457381739 1727338156,1727338177,21,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 1000 n_permutations 50 update_interval 119 n_consecutive_deviations 3,1000,50,119,3,0.28593457429232294,0,None,i7186,18,0.00014669216673842723 1727338971,1727338990,19,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 481 n_permutations 39 update_interval 150 n_consecutive_deviations 3,481,39,150,3,0.2793809890957154,0,None,i7186,12,0.000287759163457008 1727338991,1727339008,17,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 678 n_permutations 10 update_interval 123 n_consecutive_deviations 5,678,10,123,5,0.2816940191651063,0,None,i7186,14,0.0001821763673041441 1727339010,1727339023,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 280 n_permutations 18 update_interval 133 n_consecutive_deviations 5,280,18,133,5,0.2854389249917392,0,None,i7186,10,0.00019028818803215857 1727339031,1727339045,14,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 293 n_permutations 31 update_interval 150 n_consecutive_deviations 5,293,31,150,5,0.28246502918823657,0,None,i7186,10,0.0002964454864443849 1727339031,1727339051,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 894 n_permutations 10 update_interval 119 n_consecutive_deviations 3,894,10,119,3,0.27805925762749206,0,None,i7186,16,0.00016651991623820077 1727339051,1727339068,17,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 616 n_permutations 23 update_interval 168 n_consecutive_deviations 5,616,23,168,5,0.2932040973675515,0,None,i7186,13,0.0003739899268041131 1727339070,1727339082,12,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 147 n_permutations 22 update_interval 146 n_consecutive_deviations 4,147,22,146,4,0.2727723317545985,0,None,i7186,9,0.0002877133530906797 1727339091,1727339107,16,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 557 n_permutations 34 update_interval 152 n_consecutive_deviations 2,557,34,152,2,0.2887432536622976,0,None,i7186,13,0.0002603410467712704 1727339101,1727339121,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 1000 n_permutations 31 update_interval 153 n_consecutive_deviations 5,1000,31,153,5,0.28879832580680687,0,None,i7186,17,0.0002743654428264883 1727339111,1727339130,19,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 827 n_permutations 25 update_interval 157 n_consecutive_deviations 2,827,25,157,2,0.2827403899107831,0,None,i7186,16,0.00031085903256157125 1727339902,1727339918,16,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 256 n_permutations 29 update_interval 150 n_consecutive_deviations 4,256,29,150,4,0.2889635422403348,0,None,i7186,10,0.00023271511320855948 1727339922,1727339942,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 1000 n_permutations 10 update_interval 167 n_consecutive_deviations 1,1000,10,167,1,0.2822998127547087,0,None,i7186,17,0.00043369313801079336 1727339940,1727339953,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 240 n_permutations 23 update_interval 142 n_consecutive_deviations 5,240,23,142,5,0.2912765723097257,0,None,i7186,10,0.00018806295635929356 1727339962,1727339974,12,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 100 n_permutations 24 update_interval 143 n_consecutive_deviations 5,100,24,143,5,0.283070822777839,0,None,i7186,9,0.0002465008006642544 1727339970,1727339984,14,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 320 n_permutations 21 update_interval 144 n_consecutive_deviations 4,320,21,144,4,0.2767375261592686,0,None,i7186,11,0.00028100225930114786 1727339982,1727339994,12,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 100 n_permutations 34 update_interval 151 n_consecutive_deviations 4,100,34,151,4,0.2853838528472299,0,None,i7186,8,0.0002510724947116617 1727340000,1727340018,18,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 653 n_permutations 10 update_interval 141 n_consecutive_deviations 3,653,10,141,3,0.2858244300033044,0,None,i7186,15,0.00022053890596681613 1727340022,1727340038,16,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 468 n_permutations 29 update_interval 150 n_consecutive_deviations 5,468,29,150,5,0.2846679149686089,0,None,i7186,12,0.0002803110276709679 1727340030,1727340041,11,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 100 n_permutations 20 update_interval 150 n_consecutive_deviations 5,100,20,150,5,0.2849432756911554,0,None,i7186,8,0.0002684767044828724 1727341110,1727341133,23,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 685 n_permutations 10 update_interval 113 n_consecutive_deviations 5,685,10,113,5,0.276792598303778,0,None,i7186,19,0.00017077267362678315 1727341130,1727341144,14,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 100 n_permutations 10 update_interval 121 n_consecutive_deviations 5,100,10,121,5,0.2882476043617138,0,None,i7186,11,0.00015520331634441114 1727341150,1727341175,25,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 1000 n_permutations 10 update_interval 167 n_consecutive_deviations 2,1000,10,167,2,0.28218966846569005,0,None,i7186,21,0.0004535071378288163 1727341170,1727341195,25,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 1000 n_permutations 27 update_interval 160 n_consecutive_deviations 1,1000,27,160,1,0.2884128207952418,0,None,i7186,22,0.00030217216132080363 1727341190,1727341212,22,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 761 n_permutations 10 update_interval 136 n_consecutive_deviations 5,761,10,136,5,0.28632007930388814,0,None,i7186,19,0.00020522611116288795 1727341210,1727341230,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 570 n_permutations 27 update_interval 151 n_consecutive_deviations 3,570,27,151,3,0.28956933582993727,0,None,i7186,16,0.00025295849427156304 1727341230,1727341248,18,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 371 n_permutations 23 update_interval 148 n_consecutive_deviations 3,371,23,148,3,0.2834012556448948,0,None,i7186,14,0.0002585874805640056 1727341261,1727341281,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 538 n_permutations 10 update_interval 132 n_consecutive_deviations 3,538,10,132,3,0.2778940411939641,0,None,i7186,17,0.0002114192813559544 1727341290,1727341310,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 585 n_permutations 34 update_interval 154 n_consecutive_deviations 1,585,34,154,1,0.2891287586738628,0,None,i7186,16,0.0002540125316974221 1727341310,1727341336,26,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 1000 n_permutations 10 update_interval 113 n_consecutive_deviations 5,1000,10,113,5,0.28819253221720453,0,None,i7186,22,0.00013694497655430087 1727341321,1727341340,19,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 477 n_permutations 11 update_interval 145 n_consecutive_deviations 4,477,11,145,4,0.2846679149686089,0,None,i7186,16,0.0002483753717369752 1727342592,1727342614,22,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 859 n_permutations 10 update_interval 120 n_consecutive_deviations 2,859,10,120,2,0.2819143077431435,0,None,i7186,16,0.00015511444252325562 1727342633,1727342652,19,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 482 n_permutations 10 update_interval 131 n_consecutive_deviations 4,482,10,131,4,0.28064764841942946,0,None,i7186,16,0.0002018621838217085 1727342642,1727342667,25,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 1000 n_permutations 10 update_interval 188 n_consecutive_deviations 1,1000,10,188,1,0.2945258288357748,0,None,i7186,22,0.0011376331565779742 1727342672,1727342693,21,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 656 n_permutations 10 update_interval 124 n_consecutive_deviations 3,656,10,124,3,0.286485295737416,0,None,i7186,18,0.00015691047074946864 1727342694,1727342719,25,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 1000 n_permutations 50 update_interval 110 n_consecutive_deviations 4,1000,50,110,4,0.2837867606564599,0,None,i7186,22,0.00014004495473557898 1727342712,1727342725,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 255 n_permutations 33 update_interval 161 n_consecutive_deviations 5,255,33,161,5,0.2924881594889305,0,None,i7186,10,0.00031358243478060753 1727342732,1727342752,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 548 n_permutations 10 update_interval 102 n_consecutive_deviations 5,548,10,102,5,0.28918383081837207,0,None,i7186,17,0.00011178009529116796 1727342753,1727342774,21,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 581 n_permutations 10 update_interval 104 n_consecutive_deviations 5,581,10,104,5,0.29072585086463265,0,None,i7186,18,0.00010986684748456241 1727342773,1727342791,18,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 333 n_permutations 50 update_interval 136 n_consecutive_deviations 2,333,50,136,2,0.2801519991188457,0,None,i7186,14,0.00021085988403563512 1727344114,1727344142,28,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 1000 n_permutations 50 update_interval 129 n_consecutive_deviations 1,1000,50,129,1,0.28929397510739063,0,None,i7186,24,0.00014438786605324772 1727344144,1727344162,18,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 303 n_permutations 10 update_interval 140 n_consecutive_deviations 4,303,10,140,4,0.27987663839629917,0,None,i7186,14,0.00024757432236229433 1727344144,1727344169,25,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 832 n_permutations 10 update_interval 124 n_consecutive_deviations 3,832,10,124,3,0.28323603921136686,0,None,i7186,21,0.00016811496744946402 1727344175,1727344199,24,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 800 n_permutations 50 update_interval 153 n_consecutive_deviations 4,800,50,153,4,0.2915519330322722,0,None,i7186,20,0.0002377280904651761 1727344205,1727344231,26,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 1000 n_permutations 29 update_interval 117 n_consecutive_deviations 3,1000,29,117,3,0.2886881815177883,0,None,i7186,23,0.00013547420711636685 1727344236,1727344254,18,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 372 n_permutations 50 update_interval 129 n_consecutive_deviations 4,372,50,129,4,0.28483313140213684,0,None,i7186,15,0.0001787359491475346 1727344236,1727344255,19,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 391 n_permutations 50 update_interval 120 n_consecutive_deviations 5,391,50,120,5,0.29226787091089323,0,None,i7186,15,0.0001302635244740269 1727344265,1727344291,26,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 1000 n_permutations 37 update_interval 152 n_consecutive_deviations 1,1000,37,152,1,0.2827954620552924,0,None,i7186,23,0.00028959284977927833 1727344295,1727344316,21,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 590 n_permutations 10 update_interval 133 n_consecutive_deviations 5,590,10,133,5,0.28554906928075774,0,None,i7186,18,0.00019674967756147657 1727344325,1727344340,15,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 165 n_permutations 28 update_interval 145 n_consecutive_deviations 3,165,28,145,3,0.28224474061019933,0,None,i7186,12,0.0002434497603074981 1727345833,1727345858,25,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 407 n_permutations 28 update_interval 146 n_consecutive_deviations 4,407,28,146,4,0.288633109373279,0,None,i7186,15,0.000227412338023507 1727345858,1727345877,19,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 431 n_permutations 10 update_interval 136 n_consecutive_deviations 4,431,10,136,4,0.29039541799757684,0,None,i7186,15,0.00018085420295649003 1727345888,1727345915,27,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 1000 n_permutations 50 update_interval 132 n_consecutive_deviations 1,1000,50,132,1,0.2864302235929067,0,None,i7186,23,0.0001711170204396329 1727345913,1727345937,24,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 762 n_permutations 10 update_interval 115 n_consecutive_deviations 1,762,10,115,1,0.29259830377794915,0,None,i7186,20,0.00011161680625148335 1727345933,1727345955,22,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 613 n_permutations 10 update_interval 144 n_consecutive_deviations 4,613,10,144,4,0.2868157286044719,0,None,i7186,18,0.00024125513051539095 1727345948,1727345972,24,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 851 n_permutations 10 update_interval 124 n_consecutive_deviations 5,851,10,124,5,0.27987663839629917,0,None,i7186,21,0.0001924606039565539 1727345973,1727345992,19,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 409 n_permutations 10 update_interval 130 n_consecutive_deviations 5,409,10,130,5,0.29369974666813525,0,None,i7186,15,0.00014887634669548963 1727345993,1727346008,15,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 100 n_permutations 10 update_interval 107 n_consecutive_deviations 5,100,10,107,5,0.2869258728934905,0,None,i7186,11,0.00013356934203524916 1727346033,1727346052,19,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 352 n_permutations 36 update_interval 151 n_consecutive_deviations 4,352,36,151,4,0.27949113338473397,0,None,i7186,14,0.00030473253295149977 1727346053,1727346070,17,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 259 n_permutations 23 update_interval 142 n_consecutive_deviations 3,259,23,142,3,0.2868708007489812,0,None,i7186,13,0.00020200931305116055 1727347662,1727347732,70,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py NOAAWeather 1000 ImageBasedDriftDetector n_samples 100 n_permutations 10 update_interval 128 n_consecutive_deviations 5,100,10,128,5,0.2939751073906818,0,None,i7122,11,0.00014573242572318466 1727347662,1727347734,72,module load GCCcore/10.3.0 Python && source 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1727342780,513.29296875,50.3 1727342780,513.29296875,46.2 1727342780,513.29296875,50.7 1727342780,513.29296875,38.7 1727344307,556.58203125,50.3 1727344307,556.58203125,56.5 1727344307,556.58203125,49.7 1727344307,556.58203125,57.8 1727346043,526.93359375,50.3 1727346043,526.93359375,49.1 1727346043,526.93359375,50.3 1727346043,526.93359375,40.6 1727347682,558.6015625,50.3 1727347682,558.6015625,52.1 1727347749,558.6796875,49.7 1727347749,558.6796875,55.6
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 (2024-09-26 05:18:24,946) - Starting with JobEnvironment(job_id=2224077, hostname=i7182, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2024-09-26 05:18:24,948) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/unsupervised-concept-drift-detection-main/runs/ImageBasedDriftDetector_NOAAWeather/0/single_runs/2224077/2224077_submitted.pkl
Parameters: {"n_samples": 479, "n_permutations": 19, "update_interval": 144, "n_consecutive_deviations": 3}
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 ImageBasedDriftDetector n_samples 479 n_permutations 19 update_interval 144 n_consecutive_deviations 3
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: 1727320527.0
Last modification: 1724759185.0
Hostname: i7182
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: 1727320527.0
Last modification: 1727277242.0
Hostname: i7182
========
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 ImageBasedDriftDetector n_samples 479 n_permutations 19 update_interval 144 n_consecutive_deviations 3
stdout:
RESULT: 0.2822998127547087
OO-Info: runtime: 13
OO-Info: lpd: 0.00025020757962161157
Result: 0.2822998127547087
EXIT_CODE: 0
submitit INFO (2024-09-26 05:18:42,798) - Job completed successfully
submitit INFO (2024-09-26 05:18:42,800) - Exiting after successful completion
Job-Infos
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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;
font-family: 'IBM Plex Sans', 'Source Sans Pro', sans-serif;
}
button:hover {
box-shadow: rgba(255, 255, 255, 0.3) 0 0 2px inset, rgba(0, 0, 0, 0.4) 0 1px 2px;
text-decoration: none;
transition-duration: .15s, .15s;
}
button:active {
box-shadow: rgba(0, 0, 0, 0.15) 0 2px 4px inset, rgba(0, 0, 0, 0.4) 0 1px 1px;
}
button:disabled {
cursor: not-allowed;
opacity: .6;
}
button:disabled:active {
pointer-events: none;
}
button:disabled:hover {
box-shadow: none;
}
.half_width_td {
vertical-align: baseline;
width: 50%;
}
#scads_bar {
width: 100%;
margin: 0;
padding: 0;
user-select: none;
user-drag: none;
-webkit-user-drag: none;
user-select: none;
-moz-user-select: none;
-webkit-user-select: none;
-ms-user-select: none;
display: -webkit-box;
}
.tab {
display: inline-block;
padding: 0px;
margin: 0px;
font-size: 16px;
font-weight: bold;
text-align: center;
border-radius: 25px;
text-decoration: none !important;
transition: background-color 0.3s, color 0.3s;
color: unset !important;
}
.tooltipster-base {
border: 1px solid black;
position: absolute;
border-radius: 8px;
padding: 2px;
color: white;
background-color: #61686f;
width: 70%;
min-width: 200px;
pointer-events: none;
}
td {
padding-top: 3px;
padding-bottom: 3px;
}
.left_side {
text-align: right;
}
.right_side {
text-align: left;
}
.spinner {
border: 8px solid rgba(0, 0, 0, 0.1);
border-left: 8px solid #3498db;
border-radius: 50%;
width: 50px;
height: 50px;
animation: spin 1s linear infinite;
}
@keyframes spin {
0% {
transform: rotate(0deg);
}
100% {
transform: rotate(360deg);
}
}
#spinner-overlay {
-webkit-text-stroke: 1px black;
white !important;
position: fixed;
top: 0;
left: 0;
width: 100%;
height: 100%;
display: flex;
justify-content: center;
align-items: center;
z-index: 9999;
}
#spinner-container {
text-align: center;
color: #fff;
display: contents;
}
#spinner-text {
font-size: 3vw;
margin-left: 10px;
}
a, a:visited, a:active, a:hover, a:link {
color: #007bff;
text-decoration: none;
}
.copy-container {
display: inline-block;
position: relative;
cursor: pointer;
margin-left: 10px;
color: blue;
}
.copy-container:hover {
text-decoration: underline;
}
.clipboard-icon {
position: absolute;
top: 5px;
right: 5px;
font-size: 1.5em;
}
#main_tab {
overflow: scroll;
width: max-content;
}
.ui-tabs .ui-tabs-nav li {
user-select: none;
}
.stacktrace_table {
background-color: black !important;
color: white !important;
}
#breadcrumb {
user-select: none;
}
#statusBar {
user-select: none;
}
.error_line {
background-color: red !important;
color: white !important;
}
.header_table {
border: 0px !important;
padding: 0px !important;
width: revert !important;
min-width: revert !important;
}
.img_auto_width {
max-width: revert !important;
}
#main_dir_or_plot_view {
display: inline-grid;
}
#refresh_button {
width: 300px;
}
._share_link {
color: black !important;
}
#footer_element {
height: 30px;
background-color: #f8f9fa;
padding: 0px;
text-align: center;
border-top: 1px solid #dee2e6;
width: 100%;
box-sizing: border-box;
position: fixed;
bottom: 0;
z-index: 2;
margin-left: -9px;
z-index: 99;
}
.switch {
position: relative;
display: inline-block;
width: 50px;
height: 26px;
}
.switch input {
opacity: 0;
width: 0;
height: 0;
}
.slider {
position: absolute;
cursor: pointer;
top: 0;
left: 0;
right: 0;
bottom: 0;
background-color: #ccc;
transition: .4s;
border-radius: 26px;
}
.slider:before {
position: absolute;
content: "";
height: 20px;
width: 20px;
left: 3px;
bottom: 3px;
background-color: white;
transition: .4s;
border-radius: 50%;
}
input:checked + .slider {
background-color: #444;
}
input:checked + .slider:before {
transform: translateX(24px);
}
.mode-text {
position: absolute;
top: 5px;
left: 65px;
font-size: 14px;
color: black;
transition: .4s;
width: 65px;
display: block;
font-size: 0.7rem;
text-align: center;
}
input:checked + .slider .mode-text {
content: "Dark Mode";
color: white;
}
#mainContent {
height: fit-content;
min-height: 100%;
}
li {
text-align: left;
}
#share_path {
margin-bottom: 20px;
margin-top: 20px;
}
#sortForm {
margin-bottom: 20px;
}
.share_folder_buttons {
margin-top: 10px;
margin-bottom: 10px;
}
.nav_tab_button {
margin: 10px;
}
.header_table {
margin: 10px;
}
.no_border {
border: unset !important;
}
.gui_table {
padding: 5px !important;
}
.gui_parameter_row {
}
.gui_parameter_row_cell {
border: unset !important;
}
.gui_param_table {
width: 95%;
margin: unset !important;
}
table td, table tr,
.parameterRow table {
padding: 2px !important;
}
.parameterRow table {
margin: 0px;
border: unset;
}
.parameterRow > td {
border: 0px !important;
}
.parameter_config_table td, .parameter_config_table tr, #config_table th, #config_table td, #hidden_config_table th, #hidden_config_table td {
border: 0px !important;
}
.green_text {
color: green;
}
.remove_parameter {
white-space: pre;
}
select {
appearance: none;
-webkit-appearance: none;
-moz-appearance: none;
background-color: #fff;
color: #222;
padding: 5px 30px 5px 5px;
border: 1px solid #555;
border-radius: 5px;
cursor: pointer;
outline: none;
transition: all 0.3s ease;
background:
url("data:image/svg+xml;charset=UTF-8,%3Csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 10 6'%3E%3Cpath fill='%23888' d='M0 0l5 6 5-6z'/%3E%3C/svg%3E")
no-repeat right 10px center,
linear-gradient(180deg, #fff, #ecebe5 86%, #d8d0c4);
background-size: 12px, auto;
}
select:hover {
border-color: #888;
}
select:focus {
border-color: #4caf50;
box-shadow: 0 0 5px rgba(76, 175, 80, 0.5);
}
select::-ms-expand {
display: none;
}
input, textarea {
border-radius: 5px;
}
#search {
width: 200px;
max-width: 70%;
background-image: url(images/search.svg);
background-repeat: no-repeat;
background-size: auto 40px;
height: 40px;
line-height: 40px;
padding-left: 40px;
box-sizing: border-box;
}
input[type="checkbox"] {
appearance: none;
-webkit-appearance: none;
-moz-appearance: none;
width: 25px;
height: 25px;
border: 2px solid #3498db;
border-radius: 5px;
background-color: #fff;
position: relative;
cursor: pointer;
transition: all 0.3s ease;
width: 25px !important;
}
input[type="checkbox"]:checked {
background-color: #3498db;
border-color: #2980b9;
}
input[type="checkbox"]:checked::before {
content: '✔';
position: absolute;
left: 4px;
top: 2px;
color: #fff;
}
input[type="checkbox"]:hover {
border-color: #2980b9;
background-color: #3caffc;
}
.toc {
margin-bottom: 20px;
}
.toc li {
margin-bottom: 5px;
}
.toc a {
text-decoration: none;
color: #007bff;
}
.toc a:hover {
text-decoration: underline;
}
.table-container {
width: 100%;
overflow-x: auto;
}
.section-header {
background-color: #1d6f9a !important;
color: white;
}
.warning {
color: red;
}
.li_list a {
text-decoration: none;
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;
margin-top: 3px;
}
.header-tabs {
margin-top: 10px;
display: flex;
flex-wrap: wrap;
gap: 10px;
flex: 2 1 100%;
justify-content: center;
}
.nav-tab {
display: inline-block;
text-decoration: none;
padding: 8px 16px;
border-radius: 20px;
background: linear-gradient(to right, #4a90e2, #357ABD);
color: white;
font-weight: bold;
white-space: nowrap;
transition: background 0.2s ease-in-out, transform 0.2s;
box-shadow: 0 2px 4px rgba(0,0,0,0.2);
}
.nav-tab:hover {
background: linear-gradient(to right, #5aa0f2, #4a90e2);
transform: translateY(-2px);
}
.current-tag {
padding-left: 10px;
font-size: 0.9rem;
color: #666;
}
.header-theme-toggle {
flex: 1 1 auto;
align-items: center;
margin-top: 20px;
min-width: 120px;
}
.switch {
position: relative;
display: inline-block;
width: 60px;
height: 30px;
}
.switch input {
display: none;
}
.slider {
position: absolute;
top: 0; left: 0; right: 0; bottom: 0;
background-color: #ccc;
border-radius: 34px;
cursor: pointer;
}
.slider::before {
content: "";
position: absolute;
height: 24px;
width: 24px;
left: 3px;
bottom: 3px;
background-color: white;
transition: .4s;
border-radius: 50%;
}
input:checked + .slider {
background-color: #2196F3;
}
input:checked + .slider::before {
transform: translateX(30px);
}
@media (max-width: 768px) {
.header-logo-group,
.header-badges,
.header-theme-toggle {
justify-content: center;
flex: 1 1 100%;
text-align: center;
width: inherit;
}
.logo-img {
max-height: 50px;
pointer-events: unset;
}
.badge-img {
max-width: 100px;
}
.hide_on_mobile {
display: none;
}
.nav-tab {
font-size: 0.9rem;
padding: 6px 12px;
}
.header_button {
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;
}
input::placeholder {
font-family: 'IBM Plex Sans', 'Source Sans Pro', sans-serif;
}
.gridjs-th-content {
overflow: visible !important;
}
/*! XP.css v0.2.6 - https: //botoxparty.github.io/XP.css/ */
body{
color: #222
}
.surface{
background: #ece9d8
}
u{
text-decoration: none;
border-bottom: .5px solid #222
}
a{
color: #00f
}
a: focus{
outline: 1px dotted #00f
}
code,code *{
font-family: monospace
}
pre{
display: block;
padding: 12px 8px;
background-color: #000;
color: silver;
font-size: 1rem;
margin: 0;
overflow: scroll;
}
summary: focus{
outline: 1px dotted #000
}
: :-webkit-scrollbar{
width: 16px
}
: :-webkit-scrollbar: horizontal{
height: 17px
}
: :-webkit-scrollbar-track{
background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg width='2' height='2' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M1 0H0v1h1v1h1V1H1V0z' fill='silver'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M2 0H1v1H0v1h1V1h1V0z' fill='%23fff'/%3E%3C/svg%3E")
}
: :-webkit-scrollbar-thumb{
background-color: #dfdfdf;
box-shadow: inset -1px -1px #0a0a0a,inset 1px 1px #fff,inset -2px -2px grey,inset 2px 2px #dfdfdf
}
: :-webkit-scrollbar-button: horizontal: end: increment,: :-webkit-scrollbar-button: horizontal: start: decrement,: :-webkit-scrollbar-button: vertical: end: increment,: :-webkit-scrollbar-button: vertical: start: decrement{
display: block
}
: :-webkit-scrollbar-button: vertical: start{
background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg width='16' height='17' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M15 0H0v16h1V1h14V0z' fill='%23DFDFDF'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M2 1H1v14h1V2h12V1H2z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M16 17H0v-1h15V0h1v17z' fill='%23000'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M15 1h-1v14H1v1h14V1z' fill='gray'/%3E%3Cpath fill='silver' d='M2 2h12v13H2z'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M8 6H7v1H6v1H5v1H4v1h7V9h-1V8H9V7H8V6z' fill='%23000'/%3E%3C/svg%3E")
}
: :-webkit-scrollbar-button: vertical: end{
background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg width='16' height='17' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M15 0H0v16h1V1h14V0z' fill='%23DFDFDF'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M2 1H1v14h1V2h12V1H2z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M16 17H0v-1h15V0h1v17z' fill='%23000'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M15 1h-1v14H1v1h14V1z' fill='gray'/%3E%3Cpath fill='silver' d='M2 2h12v13H2z'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M11 6H4v1h1v1h1v1h1v1h1V9h1V8h1V7h1V6z' fill='%23000'/%3E%3C/svg%3E")
}
: :-webkit-scrollbar-button: horizontal: start{
width: 16px;
background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg width='16' height='17' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M15 0H0v16h1V1h14V0z' fill='%23DFDFDF'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M2 1H1v14h1V2h12V1H2z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M16 17H0v-1h15V0h1v17z' fill='%23000'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M15 1h-1v14H1v1h14V1z' fill='gray'/%3E%3Cpath fill='silver' d='M2 2h12v13H2z'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M9 4H8v1H7v1H6v1H5v1h1v1h1v1h1v1h1V4z' fill='%23000'/%3E%3C/svg%3E")
}
: :-webkit-scrollbar-button: horizontal: end{
width: 16px;
background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg width='16' height='17' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M15 0H0v16h1V1h14V0z' fill='%23DFDFDF'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M2 1H1v14h1V2h12V1H2z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M16 17H0v-1h15V0h1v17z' fill='%23000'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M15 1h-1v14H1v1h14V1z' fill='gray'/%3E%3Cpath fill='silver' d='M2 2h12v13H2z'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M7 4H6v7h1v-1h1V9h1V8h1V7H9V6H8V5H7V4z' fill='%23000'/%3E%3C/svg%3E")
}
button{
border: none;
background: #ece9d8;
box-shadow: inset -1px -1px #0a0a0a,inset 1px 1px #fff,inset -2px -2px grey,inset 2px 2px #dfdfdf;
border-radius: 0;
min-width: 75px;
min-height: 23px;
padding: 0 12px
}
button: not(: disabled).active,button: not(: disabled): active{
box-shadow: inset -1px -1px #fff,inset 1px 1px #0a0a0a,inset -2px -2px #dfdfdf,inset 2px 2px grey
}
button.focused,button: focus{
outline: 1px dotted #000;
outline-offset: -4px
}
label{
display: inline-flex;
align-items: center
}
textarea{
padding: 3px 4px;
border: none;
background-color: #fff;
box-sizing: border-box;
-webkit-appearance: none;
-moz-appearance: none;
appearance: none;
border-radius: 0
}
textarea: focus{
outline: none
}
select: focus option{
color: #000;
background-color: #fff
}
.vertical-bar{
width: 4px;
height: 20px;
background: silver;
box-shadow: inset -1px -1px #0a0a0a,inset 1px 1px #fff,inset -2px -2px grey,inset 2px 2px #dfdfdf
}
&: disabled,&: disabled+label{
color: grey;
text-shadow: 1px 1px 0 #fff
}
input[type=radio]+label{
line-height: 13px;
position: relative;
margin-left: 19px
}
input[type=radio]+label: before{
content: "";
position: absolute;
top: 0;
left: -19px;
display: inline-block;
width: 13px;
height: 13px;
margin-right: 6px;
background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='12' height='12' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M8 0H4v1H2v1H1v2H0v4h1v2h1V8H1V4h1V2h2V1h4v1h2V1H8V0z' fill='gray'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M8 1H4v1H2v2H1v4h1v1h1V8H2V4h1V3h1V2h4v1h2V2H8V1z' fill='%23000'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M9 3h1v1H9V3zm1 5V4h1v4h-1zm-2 2V9h1V8h1v2H8zm-4 0v1h4v-1H4zm0 0V9H2v1h2z' fill='%23DFDFDF'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M11 2h-1v2h1v4h-1v2H8v1H4v-1H2v1h2v1h4v-1h2v-1h1V8h1V4h-1V2z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M4 2h4v1h1v1h1v4H9v1H8v1H4V9H3V8H2V4h1V3h1V2z' fill='%23fff'/%3E%3C/svg%3E")
}
input[type=radio]: active+label: before{
background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='12' height='12' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M8 0H4v1H2v1H1v2H0v4h1v2h1V8H1V4h1V2h2V1h4v1h2V1H8V0z' fill='gray'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M8 1H4v1H2v2H1v4h1v1h1V8H2V4h1V3h1V2h4v1h2V2H8V1z' fill='%23000'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M9 3h1v1H9V3zm1 5V4h1v4h-1zm-2 2V9h1V8h1v2H8zm-4 0v1h4v-1H4zm0 0V9H2v1h2z' fill='%23DFDFDF'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M11 2h-1v2h1v4h-1v2H8v1H4v-1H2v1h2v1h4v-1h2v-1h1V8h1V4h-1V2z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M4 2h4v1h1v1h1v4H9v1H8v1H4V9H3V8H2V4h1V3h1V2z' fill='silver'/%3E%3C/svg%3E")
}
input[type=radio]: checked+label: after{
content: "";
display: block;
width: 5px;
height: 5px;
top: 5px;
left: -14px;
position: absolute;
background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='4' height='4' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M3 0H1v1H0v2h1v1h2V3h1V1H3V0z' fill='%23000'/%3E%3C/svg%3E")
}
input[type=radio][disabled]+label: before{
background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='12' height='12' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M8 0H4v1H2v1H1v2H0v4h1v2h1V8H1V4h1V2h2V1h4v1h2V1H8V0z' fill='gray'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M8 1H4v1H2v2H1v4h1v1h1V8H2V4h1V3h1V2h4v1h2V2H8V1z' fill='%23000'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M9 3h1v1H9V3zm1 5V4h1v4h-1zm-2 2V9h1V8h1v2H8zm-4 0v1h4v-1H4zm0 0V9H2v1h2z' fill='%23DFDFDF'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M11 2h-1v2h1v4h-1v2H8v1H4v-1H2v1h2v1h4v-1h2v-1h1V8h1V4h-1V2z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M4 2h4v1h1v1h1v4H9v1H8v1H4V9H3V8H2V4h1V3h1V2z' fill='silver'/%3E%3C/svg%3E")
}
input[type=radio][disabled]: checked+label: after{
background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='4' height='4' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M3 0H1v1H0v2h1v1h2V3h1V1H3V0z' fill='gray'/%3E%3C/svg%3E")
}
input[type=email],input[type=password]{
padding: 3px 4px;
border: 1px solid #7f9db9;
background-color: #fff;
box-sizing: border-box;
-webkit-appearance: none;
-moz-appearance: none;
appearance: none;
border-radius: 0;
height: 21px;
line-height: 2
}
input[type=email]: focus,input[type=password]: focus{
outline: none
}
input[type=range]{
-webkit-appearance: none;
width: 100%;
background: transparent
}
input[type=range]: focus{
outline: none
}
input[type=range]: :-webkit-slider-thumb{
-webkit-appearance: none;
background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='11' height='21' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M0 0v16h2v2h2v2h1v-1H3v-2H1V1h9V0z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M1 1v15h1v1h1v1h1v1h2v-1h1v-1h1v-1h1V1z' fill='%23C0C7C8'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M9 1h1v15H8v2H6v2H5v-1h2v-2h2z' fill='%2387888F'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M10 0h1v16H9v2H7v2H5v1h1v-2h2v-2h2z' fill='%23000'/%3E%3C/svg%3E")
}
input[type=range]: :-moz-range-thumb{
background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='11' height='21' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M0 0v16h2v2h2v2h1v-1H3v-2H1V1h9V0z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M1 1v15h1v1h1v1h1v1h2v-1h1v-1h1v-1h1V1z' fill='%23C0C7C8'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M9 1h1v15H8v2H6v2H5v-1h2v-2h2z' fill='%2387888F'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M10 0h1v16H9v2H7v2H5v1h1v-2h2v-2h2z' fill='%23000'/%3E%3C/svg%3E")
}
input[type=range]: :-webkit-slider-runnable-track{
background: #000;
border-right: 1px solid grey;
border-bottom: 1px solid grey;
box-shadow: 1px 0 0 #fff,1px 1px 0 #fff,0 1px 0 #fff,-1px 0 0 #a9a9a9,-1px -1px 0 #a9a9a9,0 -1px 0 #a9a9a9,-1px 1px 0 #fff,1px -1px #a9a9a9
}
input[type=range]: :-moz-range-track{
background: #000;
border-right: 1px solid grey;
border-bottom: 1px solid grey;
box-shadow: 1px 0 0 #fff,1px 1px 0 #fff,0 1px 0 #fff,-1px 0 0 #a9a9a9,-1px -1px 0 #a9a9a9,0 -1px 0 #a9a9a9,-1px 1px 0 #fff,1px -1px #a9a9a9
}
input[type=range].has-box-indicator: :-webkit-slider-thumb{
background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='11' height='21' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M0 0v20h1V1h9V0z' fill='%23fff'/%3E%3Cpath fill='%23C0C7C8' d='M1 1h8v18H1z'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M9 1h1v19H1v-1h8z' fill='%2387888F'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M10 0h1v21H0v-1h10z' fill='%23000'/%3E%3C/svg%3E")
}
input[type=range].has-box-indicator: :-moz-range-thumb{
background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='11' height='21' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M0 0v20h1V1h9V0z' fill='%23fff'/%3E%3Cpath fill='%23C0C7C8' d='M1 1h8v18H1z'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M9 1h1v19H1v-1h8z' fill='%2387888F'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M10 0h1v21H0v-1h10z' fill='%23000'/%3E%3C/svg%3E")
}
.is-vertical{
display: inline-block;
width: 4px;
height: 150px;
transform: translateY(50%)
}
.is-vertical>input[type=range]{
width: 150px;
height: 4px;
margin: 0 16px 0 10px;
transform-origin: left;
transform: rotate(270deg) translateX(calc(-50% + 8px))
}
.is-vertical>input[type=range]: :-webkit-slider-runnable-track{
border-left: 1px solid grey;
border-bottom: 1px solid grey;
box-shadow: -1px 0 0 #fff,-1px 1px 0 #fff,0 1px 0 #fff,1px 0 0 #a9a9a9,1px -1px 0 #a9a9a9,0 -1px 0 #a9a9a9,1px 1px 0 #fff,-1px -1px #a9a9a9
}
.is-vertical>input[type=range]: :-moz-range-track{
border-left: 1px solid grey;
border-bottom: 1px solid grey;
box-shadow: -1px 0 0 #fff,-1px 1px 0 #fff,0 1px 0 #fff,1px 0 0 #a9a9a9,1px -1px 0 #a9a9a9,0 -1px 0 #a9a9a9,1px 1px 0 #fff,-1px -1px #a9a9a9
}
.is-vertical>input[type=range]: :-webkit-slider-thumb{
transform: translateY(-8px) scaleX(-1)
}
.is-vertical>input[type=range]: :-moz-range-thumb{
transform: translateY(2px) scaleX(-1)
}
.is-vertical>input[type=range].has-box-indicator: :-webkit-slider-thumb{
transform: translateY(-10px) scaleX(-1)
}
.is-vertical>input[type=range].has-box-indicator: :-moz-range-thumb{
transform: translateY(0) scaleX(-1)
}
.window{
font-size: 11px;
box-shadow: inset -1px -1px #0a0a0a,inset 1px 1px #dfdfdf,inset -2px -2px grey,inset 2px 2px #fff;
background: #ece9d8;
padding: 3px
}
.window fieldset{
margin-bottom: 9px
}
.title-bar{
background: #000;
padding: 3px 2px 3px 3px;
display: flex;
justify-content: space-between;
align-items: center
}
.title-bar-text{
font-weight: 700;
color: #fff;
letter-spacing: 0;
margin-right: 24px
}
.title-bar-controls button{
padding: 0;
display: block;
min-width: 16px;
min-height: 14px
}
.title-bar-controls button: focus{
outline: none
}
.window-body{
margin: 8px
}
.window-body pre{
margin: -8px
}
.status-bar{
margin: 0 1px;
display: flex;
gap: 1px
}
.status-bar-field{
box-shadow: inset -1px -1px #dfdfdf,inset 1px 1px grey;
flex-grow: 1;
padding: 2px 3px;
margin: 0
}
ul.tree-view{
display: block;
background: #fff;
padding: 6px;
margin: 0
}
ul.tree-view li{
list-style-type: none;
margin-top: 3px
}
ul.tree-view a{
text-decoration: none;
color: #000
}
ul.tree-view a: focus{
background-color: #2267cb;
color: #fff
}
ul.tree-view ul{
margin-top: 3px;
margin-left: 16px;
padding-left: 16px;
border-left: 1px dotted grey
}
ul.tree-view ul>li{
position: relative
}
ul.tree-view ul>li: before{
content: "";
display: block;
position: absolute;
left: -16px;
top: 6px;
width: 12px;
border-bottom: 1px dotted grey
}
ul.tree-view ul>li: last-child: after{
content: "";
display: block;
position: absolute;
left: -20px;
top: 7px;
bottom: 0;
width: 8px;
background: #fff
}
ul.tree-view ul details>summary: before{
margin-left: -22px;
position: relative;
z-index: 1
}
ul.tree-view details{
margin-top: 0
}
ul.tree-view details>summary: before{
text-align: center;
display: block;
float: left;
content: "+";
border: 1px solid grey;
width: 8px;
height: 9px;
line-height: 9px;
margin-right: 5px;
padding-left: 1px;
background-color: #fff
}
ul.tree-view details[open] summary{
margin-bottom: 0
}
ul.tree-view details[open]>summary: before{
content: "-"
}
fieldset{
border-image: url("data: image/svg+xml;charset=utf-8,%3Csvg width='5' height='5' fill='gray' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M0 0h5v5H0V2h2v1h1V2H0' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M0 0h4v4H0V1h1v2h2V1H0'/%3E%3C/svg%3E") 2;
padding: 10px;
padding-block-start: 8px;
margin: 0
}
legend{
background: #ece9d8
}
menu[role=tablist]{
position: relative;
margin: 0 0 -2px;
text-indent: 0;
list-style-type: none;
display: flex;
padding-left: 3px
}
menu[role=tablist] button{
z-index: 1;
display: block;
color: #222;
text-decoration: none;
min-width: unset
}
menu[role=tablist] button[aria-selected=true]{
padding-bottom: 2px;margin-top: -2px;background-color: #ece9d8;position: relative;z-index: 8;margin-left: -3px;margin-bottom: 1px
}
menu[role=tablist] button: focus{
outline: 1px dotted #222;outline-offset: -4px
}
menu[role=tablist].justified button{
flex-grow: 1;text-align: center
}
[role=tabpanel]{
padding: 14px;clear: both;background: linear-gradient(180deg,#fcfcfe,#f4f3ee);border: 1px solid #919b9c;position: relative;z-index: 2;margin-bottom: 9px
}
: :-webkit-scrollbar{
width: 17px
}
: :-webkit-scrollbar-corner{
background: #dfdfdf
}
: :-webkit-scrollbar-track: vertical{
background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 17 1' shape-rendering='crispEdges'%3E%3Cpath stroke='%23eeede5' d='M0 0h1m15 0h1'/%3E%3Cpath stroke='%23f3f1ec' d='M1 0h1'/%3E%3Cpath stroke='%23f4f1ec' d='M2 0h1'/%3E%3Cpath stroke='%23f4f3ee' d='M3 0h1'/%3E%3Cpath stroke='%23f5f4ef' d='M4 0h1'/%3E%3Cpath stroke='%23f6f5f0' d='M5 0h1'/%3E%3Cpath stroke='%23f7f7f3' d='M6 0h1'/%3E%3Cpath stroke='%23f9f8f4' d='M7 0h1'/%3E%3Cpath stroke='%23f9f9f7' d='M8 0h1'/%3E%3Cpath stroke='%23fbfbf8' d='M9 0h1'/%3E%3Cpath stroke='%23fbfbf9' d='M10 0h2'/%3E%3Cpath stroke='%23fdfdfa' d='M12 0h1'/%3E%3Cpath stroke='%23fefefb' d='M13 0h3'/%3E%3C/svg%3E")
}
: :-webkit-scrollbar-track: horizontal{
background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 1 17' shape-rendering='crispEdges'%3E%3Cpath stroke='%23eeede5' d='M0 0h1M0 16h1'/%3E%3Cpath stroke='%23f3f1ec' d='M0 1h1'/%3E%3Cpath stroke='%23f4f1ec' d='M0 2h1'/%3E%3Cpath stroke='%23f4f3ee' d='M0 3h1'/%3E%3Cpath stroke='%23f5f4ef' d='M0 4h1'/%3E%3Cpath stroke='%23f6f5f0' d='M0 5h1'/%3E%3Cpath stroke='%23f7f7f3' d='M0 6h1'/%3E%3Cpath stroke='%23f9f8f4' d='M0 7h1'/%3E%3Cpath stroke='%23f9f9f7' d='M0 8h1'/%3E%3Cpath stroke='%23fbfbf8' d='M0 9h1'/%3E%3Cpath stroke='%23fbfbf9' d='M0 10h1m-1 1h1'/%3E%3Cpath stroke='%23fdfdfa' d='M0 12h1'/%3E%3Cpath stroke='%23fefefb' d='M0 13h1m-1 1h1m-1 1h1'/%3E%3C/svg%3E")
}
: :-webkit-scrollbar-thumb{
background-position: 50%;
background-repeat: no-repeat;
background-color: #c8d6fb;
background-size: 7px;
border: 1px solid #fff;
border-radius: 2px;
box-shadow: inset -3px 0 #bad1fc,inset 1px 1px #b7caf5
}
: :-webkit-scrollbar-thumb: vertical{
background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 7 8' shape-rendering='crispEdges'%3E%3Cpath stroke='%23eef4fe' d='M0 0h6M0 2h6M0 4h6M0 6h6'/%3E%3Cpath stroke='%23bad1fc' d='M6 0h1M6 2h1M6 4h1'/%3E%3Cpath stroke='%23c8d6fb' d='M0 1h1M0 3h1M0 5h1M0 7h1'/%3E%3Cpath stroke='%238cb0f8' d='M1 1h6M1 3h6M1 5h6M1 7h6'/%3E%3Cpath stroke='%23bad3fc' d='M6 6h1'/%3E%3C/svg%3E")
}
: :-webkit-scrollbar-thumb: horizontal{
background-size: 8px;background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 8 7' shape-rendering='crispEdges'%3E%3Cpath stroke='%23eef4fe' d='M0 0h1m1 0h1m1 0h1m1 0h1M0 1h1m1 0h1m1 0h1m1 0h1M0 2h1m1 0h1m1 0h1m1 0h1M0 3h1m1 0h1m1 0h1m1 0h1M0 4h1m1 0h1m1 0h1m1 0h1M0 5h1m1 0h1m1 0h1m1 0h1'/%3E%3Cpath stroke='%23c8d6fb' d='M1 0h1m1 0h1m1 0h1m1 0h1'/%3E%3Cpath stroke='%238cb0f8' d='M1 1h1m1 0h1m1 0h1m1 0h1M1 2h1m1 0h1m1 0h1m1 0h1M1 3h1m1 0h1m1 0h1m1 0h1M1 4h1m1 0h1m1 0h1m1 0h1M1 5h1m1 0h1m1 0h1m1 0h1M1 6h1m1 0h1m1 0h1m1 0h1'/%3E%3Cpath stroke='%23bad1fc' d='M0 6h1m1 0h1'/%3E%3Cpath stroke='%23bad3fc' d='M4 6h1m1 0h1'/%3E%3C/svg%3E")
}
: :-webkit-scrollbar-button: vertical: start{
height: 17px;
background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 17 17' shape-rendering='crispEdges'%3E%3Cpath stroke='%23eeede5' d='M0 0h1m15 0h1M0 1h1M0 2h1M0 3h1M0 4h1M0 5h1M0 6h1M0 7h1M0 8h1M0 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m15 0h1M0 16h1m15 0h1'/%3E%3Cpath stroke='%23fdfdfa' d='M1 0h1'/%3E%3Cpath stroke='%23fff' d='M2 0h14M1 1h1m13 0h1M1 2h1m13 0h1M1 3h1m13 0h1M1 4h1m13 0h1M1 5h1m13 0h1M1 6h1m13 0h1M1 7h1m13 0h1M1 8h1m13 0h1M1 9h1m13 0h1M1 10h1m13 0h1M1 11h1m13 0h1M1 12h1m13 0h1M1 13h1m13 0h1M1 14h1m13 0h1M2 15h13'/%3E%3Cpath stroke='%23e6eefc' d='M2 1h1'/%3E%3Cpath stroke='%23d0dffc' d='M3 1h1M2 2h1'/%3E%3Cpath stroke='%23cad8f9' d='M4 1h1M2 3h1'/%3E%3Cpath stroke='%23c4d2f7' d='M5 1h1'/%3E%3Cpath stroke='%23c0d0f7' d='M6 1h1'/%3E%3Cpath stroke='%23bdcef7' d='M7 1h1M2 6h1'/%3E%3Cpath stroke='%23bbcdf5' d='M8 1h1'/%3E%3Cpath stroke='%23b8cbf6' d='M9 1h1M2 7h1'/%3E%3Cpath stroke='%23b7caf5' d='M10 1h1M2 8h1'/%3E%3Cpath stroke='%23b5c8f7' d='M11 1h1'/%3E%3Cpath stroke='%23b3c7f5' d='M12 1h1'/%3E%3Cpath stroke='%23afc5f4' d='M13 1h1'/%3E%3Cpath stroke='%23dce6f9' d='M14 1h1'/%3E%3Cpath stroke='%23dfe2e1' d='M16 1h1'/%3E%3Cpath stroke='%23e1eafe' d='M3 2h1'/%3E%3Cpath stroke='%23dae6fe' d='M4 2h1M3 3h1'/%3E%3Cpath stroke='%23d4e1fc' d='M5 2h1M3 4h1'/%3E%3Cpath stroke='%23d1e0fd' d='M6 2h1M4 4h1'/%3E%3Cpath stroke='%23d0ddfc' d='M7 2h1M3 5h1'/%3E%3Cpath stroke='%23cedbfd' d='M8 2h1M6 3h1'/%3E%3Cpath stroke='%23cad9fd' d='M9 2h1M7 3h1M5 5h1'/%3E%3Cpath stroke='%23c8d8fb' d='M10 2h1'/%3E%3Cpath stroke='%23c5d6fc' d='M11 2h1m-8 8h1m1 0h1'/%3E%3Cpath stroke='%23c2d3fc' d='M12 2h1m-2 1h1m-9 7h1m0 1h1'/%3E%3Cpath stroke='%23bccefa' d='M13 2h1m-1 2h1m-9 9h2'/%3E%3Cpath stroke='%23b9c9f3' d='M14 2h1M5 14h3'/%3E%3Cpath stroke='%23cfd7dd' d='M16 2h1'/%3E%3Cpath stroke='%23d8e3fc' d='M4 3h1'/%3E%3Cpath stroke='%23d1defd' d='M5 3h1'/%3E%3Cpath stroke='%23c9d8fc' d='M8 3h1M6 4h2M5 6h2M3 7h1'/%3E%3Cpath stroke='%23c5d5fc' d='M9 3h1M3 9h1m3 0h1'/%3E%3Cpath stroke='%23c5d3fc' d='M10 3h1'/%3E%3Cpath stroke='%23bed0fc' d='M12 3h1M9 4h1m-7 7h1m0 1h1'/%3E%3Cpath stroke='%23bccdfa' d='M13 3h1'/%3E%3Cpath stroke='%23baccf4' d='M14 3h1'/%3E%3Cpath stroke='%23bdcbda' d='M16 3h1'/%3E%3Cpath stroke='%23c4d4f7' d='M2 4h1'/%3E%3Cpath stroke='%23cddbfc' d='M5 4h1M3 6h1'/%3E%3Cpath stroke='%23c8d5fb' d='M8 4h1'/%3E%3Cpath stroke='%23bbcefd' d='M10 4h3M9 5h1'/%3E%3Cpath stroke='%23bcccf3' d='M14 4h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23b1c2d5' d='M16 4h1'/%3E%3Cpath stroke='%23bed0f8' d='M2 5h1'/%3E%3Cpath stroke='%23ceddfd' d='M4 5h1'/%3E%3Cpath stroke='%23c8d6fb' d='M6 5h2M3 8h2'/%3E%3Cpath stroke='%234d6185' d='M8 5h1M7 6h3M6 7h5M5 8h3m1 0h3M4 9h3m3 0h3m-8 1h1m5 0h1'/%3E%3Cpath stroke='%23bacdfc' d='M10 5h1m1 0h2M3 12h1'/%3E%3Cpath stroke='%23b9cdfb' d='M11 5h1m-2 1h1m1 0h2m-1 1h1'/%3E%3Cpath stroke='%23a8bbd4' d='M16 5h1'/%3E%3Cpath stroke='%23cddafc' d='M4 6h1'/%3E%3Cpath stroke='%23b7cdfc' d='M11 6h1m0 1h1'/%3E%3Cpath stroke='%23a4b8d3' d='M16 6h1'/%3E%3Cpath stroke='%23cad8fd' d='M4 7h2'/%3E%3Cpath stroke='%23b6cefb' d='M11 7h1m0 1h1'/%3E%3Cpath stroke='%23bacbf4' d='M14 7h1'/%3E%3Cpath stroke='%23a0b5d3' d='M16 7h1m-1 1h1m-1 5h1'/%3E%3Cpath stroke='%23c1d3fb' d='M8 8h1'/%3E%3Cpath stroke='%23b6cdfb' d='M13 8h1m-5 5h1'/%3E%3Cpath stroke='%23b9cbf3' d='M14 8h1'/%3E%3Cpath stroke='%23b4c8f6' d='M2 9h1'/%3E%3Cpath stroke='%23c2d5fc' d='M8 9h1m-1 1h1m-3 1h2'/%3E%3Cpath stroke='%23bdd3fb' d='M9 9h1m-2 3h1'/%3E%3Cpath stroke='%23b5cdfa' d='M13 9h1'/%3E%3Cpath stroke='%23b5c9f3' d='M14 9h1'/%3E%3Cpath stroke='%239fb5d2' d='M16 9h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23b1c7f6' d='M2 10h1'/%3E%3Cpath stroke='%23c3d5fd' d='M7 10h1'/%3E%3Cpath stroke='%23bad4fc' d='M9 10h1m-1 1h1'/%3E%3Cpath stroke='%23b2cffb' d='M10 10h1m1 0h1m-2 2h1'/%3E%3Cpath stroke='%23b1cbfa' d='M13 10h1'/%3E%3Cpath stroke='%23b3c8f5' d='M14 10h1m-6 4h2'/%3E%3Cpath stroke='%23adc3f6' d='M2 11h1'/%3E%3Cpath stroke='%23c3d3fd' d='M5 11h1'/%3E%3Cpath stroke='%23c1d5fb' d='M8 11h1'/%3E%3Cpath stroke='%23b7d3fc' d='M10 11h1m-2 1h1'/%3E%3Cpath stroke='%23b3d1fc' d='M11 11h1'/%3E%3Cpath stroke='%23afcefb' d='M12 11h1'/%3E%3Cpath stroke='%23aecafa' d='M13 11h1'/%3E%3Cpath stroke='%23b1c8f3' d='M14 11h1'/%3E%3Cpath stroke='%23acc2f5' d='M2 12h1'/%3E%3Cpath stroke='%23c1d2fb' d='M5 12h1'/%3E%3Cpath stroke='%23bed1fc' d='M6 12h2'/%3E%3Cpath stroke='%23b6d1fb' d='M10 12h1'/%3E%3Cpath stroke='%23afccfb' d='M12 12h1'/%3E%3Cpath stroke='%23adc9f9' d='M13 12h1m-2 1h1'/%3E%3Cpath stroke='%23b1c5f3' d='M14 12h1'/%3E%3Cpath stroke='%23aac0f3' d='M2 13h1'/%3E%3Cpath stroke='%23b7cbf9' d='M3 13h1'/%3E%3Cpath stroke='%23b9cefb' d='M4 13h1'/%3E%3Cpath stroke='%23bbcef9' d='M7 13h1'/%3E%3Cpath stroke='%23b9cffb' d='M8 13h1'/%3E%3Cpath stroke='%23b2cdfb' d='M10 13h1'/%3E%3Cpath stroke='%23b0cbf9' d='M11 13h1'/%3E%3Cpath stroke='%23aec8f7' d='M13 13h1'/%3E%3Cpath stroke='%23b0c5f2' d='M14 13h1'/%3E%3Cpath stroke='%23dbe3f8' d='M2 14h1'/%3E%3Cpath stroke='%23b7c6f1' d='M3 14h1'/%3E%3Cpath stroke='%23b8c9f2' d='M4 14h1m3 0h1'/%3E%3Cpath stroke='%23b2c8f4' d='M11 14h1'/%3E%3Cpath stroke='%23b1c6f3' d='M12 14h1'/%3E%3Cpath stroke='%23b0c4f2' d='M13 14h1'/%3E%3Cpath stroke='%23d9e3f6' d='M14 14h1'/%3E%3Cpath stroke='%23aec0d6' d='M16 14h1'/%3E%3Cpath stroke='%23c3d4e7' d='M1 15h1'/%3E%3Cpath stroke='%23aec4e5' d='M15 15h1'/%3E%3Cpath stroke='%23edf1f3' d='M1 16h1'/%3E%3Cpath stroke='%23aac0e1' d='M2 16h1'/%3E%3Cpath stroke='%2394b1d9' d='M3 16h1'/%3E%3Cpath stroke='%2388a7d8' d='M4 16h1'/%3E%3Cpath stroke='%2383a4d3' d='M5 16h1'/%3E%3Cpath stroke='%237da0d4' d='M6 16h1m3 0h3'/%3E%3Cpath stroke='%237e9fd2' d='M7 16h1'/%3E%3Cpath stroke='%237c9fd3' d='M8 16h2'/%3E%3Cpath stroke='%2382a4d6' d='M13 16h1'/%3E%3Cpath stroke='%2394b0dd' d='M14 16h1'/%3E%3Cpath stroke='%23ecf2f7' d='M15 16h1'/%3E%3C/svg%3E")
}
: :-webkit-scrollbar-button: vertical: end{
height: 17px;
background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 17 17' shape-rendering='crispEdges'%3E%3Cpath stroke='%23eeede5' d='M0 0h1m15 0h1M0 1h1M0 2h1M0 3h1M0 4h1M0 5h1M0 6h1M0 7h1M0 8h1M0 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m15 0h1M0 16h1m15 0h1'/%3E%3Cpath stroke='%23fdfdfa' d='M1 0h1'/%3E%3Cpath stroke='%23fff' d='M2 0h14M1 1h1m13 0h1M1 2h1m13 0h1M1 3h1m13 0h1M1 4h1m13 0h1M1 5h1m13 0h1M1 6h1m13 0h1M1 7h1m13 0h1M1 8h1m13 0h1M1 9h1m13 0h1M1 10h1m13 0h1M1 11h1m13 0h1M1 12h1m13 0h1M1 13h1m13 0h1M1 14h1m13 0h1M2 15h13'/%3E%3Cpath stroke='%23e6eefc' d='M2 1h1'/%3E%3Cpath stroke='%23d0dffc' d='M3 1h1M2 2h1'/%3E%3Cpath stroke='%23cad8f9' d='M4 1h1M2 3h1'/%3E%3Cpath stroke='%23c4d2f7' d='M5 1h1'/%3E%3Cpath stroke='%23c0d0f7' d='M6 1h1'/%3E%3Cpath stroke='%23bdcef7' d='M7 1h1M2 6h1'/%3E%3Cpath stroke='%23bbcdf5' d='M8 1h1'/%3E%3Cpath stroke='%23b8cbf6' d='M9 1h1M2 7h1'/%3E%3Cpath stroke='%23b7caf5' d='M10 1h1M2 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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1727326772,
587.84765625,
0
],
[
1727327321,
561.2578125,
0.7
],
[
1727327321,
561.2578125,
0
],
[
1727327321,
561.2578125,
0.5
],
[
1727327321,
561.2578125,
0
],
[
1727327903,
576.265625,
0.7
],
[
1727327903,
576.265625,
0
],
[
1727327903,
576.265625,
0
],
[
1727327903,
576.265625,
2.9
],
[
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590.28515625,
0.7
],
[
1727328445,
590.28515625,
2.7
],
[
1727328445,
590.28515625,
0.5
],
[
1727328445,
590.28515625,
0
],
[
1727328989,
590.0859375,
0.7
],
[
1727328989,
590.0859375,
0
],
[
1727328989,
590.0859375,
0
],
[
1727328989,
590.0859375,
2.8
],
[
1727329609,
505.39453125,
0.7
],
[
1727329609,
505.39453125,
0
],
[
1727329609,
505.39453125,
0.4
],
[
1727329609,
505.39453125,
0
],
[
1727330190,
516.09765625,
0.7
],
[
1727330190,
516.09765625,
0
],
[
1727330190,
516.09765625,
0
],
[
1727330190,
516.09765625,
0
],
[
1727330837,
490.59765625,
0.7
],
[
1727330837,
490.59765625,
0
],
[
1727330837,
490.59765625,
0.5
],
[
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490.59765625,
0
],
[
1727331498,
519.734375,
0.7
],
[
1727331498,
519.734375,
0
],
[
1727331498,
519.734375,
0.5
],
[
1727331498,
519.734375,
0
],
[
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489.1640625,
0.7
],
[
1727332245,
489.1640625,
0
],
[
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489.1640625,
0.5
],
[
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489.1640625,
0
],
[
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0.7
],
[
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515.62109375,
0
],
[
1727333050,
515.62109375,
0
],
[
1727333050,
515.62109375,
0
],
[
1727333905,
466.2890625,
0.7
],
[
1727333905,
466.2890625,
0
],
[
1727333905,
466.2890625,
0.9
],
[
1727333905,
466.2890625,
0
],
[
1727334756,
504.7578125,
0.7
],
[
1727334756,
504.7578125,
0
],
[
1727334756,
504.7578125,
0.8
],
[
1727334756,
504.7578125,
0
],
[
1727335521,
497.57421875,
0.7
],
[
1727335521,
497.57421875,
0
],
[
1727335521,
497.57421875,
0
],
[
1727335521,
497.57421875,
2.9
],
[
1727336233,
517.98828125,
0.7
],
[
1727336233,
517.98828125,
0
],
[
1727336233,
517.98828125,
0.9
],
[
1727336233,
517.98828125,
0
],
[
1727337208,
479.3125,
0.7
],
[
1727337208,
479.3125,
0
],
[
1727337208,
479.3125,
0.4
],
[
1727337208,
479.3125,
0
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[
1727338155,
480.96484375,
0.7
],
[
1727338155,
480.96484375,
0
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[
1727338155,
480.96484375,
0.8
],
[
1727338155,
480.96484375,
0
],
[
1727339114,
525.12890625,
0.7
],
[
1727339114,
525.12890625,
0
],
[
1727339114,
525.12890625,
0.4
],
[
1727339114,
525.12890625,
0
],
[
1727340033,
482.25,
0.7
],
[
1727340033,
482.25,
0
],
[
1727340033,
482.25,
0.4
],
[
1727340033,
482.25,
0
],
[
1727341321,
502.1171875,
15.2
],
[
1727341321,
502.1171875,
53.2
],
[
1727341321,
502.1171875,
49.6
],
[
1727341321,
502.1171875,
52.5
],
[
1727342780,
513.29296875,
50.3
],
[
1727342780,
513.29296875,
46.2
],
[
1727342780,
513.29296875,
50.7
],
[
1727342780,
513.29296875,
38.7
],
[
1727344307,
556.58203125,
50.3
],
[
1727344307,
556.58203125,
56.5
],
[
1727344307,
556.58203125,
49.7
],
[
1727344307,
556.58203125,
57.8
],
[
1727346043,
526.93359375,
50.3
],
[
1727346043,
526.93359375,
49.1
],
[
1727346043,
526.93359375,
50.3
],
[
1727346043,
526.93359375,
40.6
],
[
1727347682,
558.6015625,
50.3
],
[
1727347682,
558.6015625,
52.1
],
[
1727347749,
558.6796875,
49.7
],
[
1727347749,
558.6796875,
55.6
]
];
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,
ellipsis: false
}).render(document.getElementById(table_name));
if (typeof apply_theme_based_on_system_preferences === 'function') {
apply_theme_based_on_system_preferences();
}
colorize_table_entries();
add_colorize_to_gridjs_table();
}
function download_as_file(id, filename) {
var text = $("#" + id).text();
var blob = new Blob([text], {
type: "text/plain"
});
var link = document.createElement("a");
link.href = URL.createObjectURL(blob);
link.download = filename;
document.body.appendChild(link);
link.click();
document.body.removeChild(link);
}
function copy_to_clipboard_from_id (id) {
var text = $("#" + id).text();
copy_to_clipboard(text);
}
function copy_to_clipboard(text) {
if (!navigator.clipboard) {
let textarea = document.createElement("textarea");
textarea.value = text;
document.body.appendChild(textarea);
textarea.select();
try {
document.execCommand("copy");
} catch (err) {
console.error("Copy failed:", err);
}
document.body.removeChild(textarea);
return;
}
navigator.clipboard.writeText(text).then(() => {
console.log("Text copied to clipboard");
}).catch(err => {
console.error("Failed to copy text:", err);
});
}
function filterNonEmptyRows(data) {
var new_data = [];
for (var row_idx = 0; row_idx < data.length; row_idx++) {
var line = data[row_idx];
var line_has_empty_data = false;
for (var col_idx = 0; col_idx < line.length; col_idx++) {
var col_header_name = tab_results_headers_json[col_idx];
var single_data_point = line[col_idx];
if(single_data_point === "" && !special_col_names.includes(col_header_name)) {
line_has_empty_data = true;
continue;
}
}
if(!line_has_empty_data) {
new_data.push(line);
}
}
return new_data;
}
function make_text_in_parallel_plot_nicer() {
$(".parcoords g > g > text").each(function() {
if (theme == "dark") {
$(this)
.css("text-shadow", "unset")
.css("font-size", "0.9em")
.css("fill", "white")
.css("stroke", "black")
.css("stroke-width", "2px")
.css("paint-order", "stroke fill");
} else {
$(this)
.css("text-shadow", "unset")
.css("font-size", "0.9em")
.css("fill", "black")
.css("stroke", "unset")
.css("stroke-width", "unset")
.css("paint-order", "stroke fill");
}
});
}
function createParallelPlot(dataArray, headers, resultNames, ignoreColumns = []) {
if ($("#parallel-plot").data("loaded") == "true") {
return;
}
dataArray = filterNonEmptyRows(dataArray);
const ignoreSet = new Set(ignoreColumns);
const numericalCols = [];
const categoricalCols = [];
const categoryMappings = {};
headers.forEach((header, colIndex) => {
if (ignoreSet.has(header)) return;
const values = dataArray.map(row => row[colIndex]);
if (values.every(val => !isNaN(parseFloat(val)))) {
numericalCols.push({ name: header, index: colIndex });
} else {
categoricalCols.push({ name: header, index: colIndex });
const uniqueValues = [...new Set(values)];
categoryMappings[header] = Object.fromEntries(uniqueValues.map((val, i) => [val, i]));
}
});
const dimensions = [];
numericalCols.forEach(col => {
dimensions.push({
label: col.name,
values: dataArray.map(row => parseFloat(row[col.index])),
range: [
Math.min(...dataArray.map(row => parseFloat(row[col.index]))),
Math.max(...dataArray.map(row => parseFloat(row[col.index])))
]
});
});
categoricalCols.forEach(col => {
dimensions.push({
label: col.name,
values: dataArray.map(row => categoryMappings[col.name][row[col.index]]),
tickvals: Object.values(categoryMappings[col.name]),
ticktext: Object.keys(categoryMappings[col.name])
});
});
let colorScale = null;
let colorValues = null;
if (resultNames.length > 1) {
let selectBox = '<select id="result-select" style="margin-bottom: 10px;">';
selectBox += '<option value="none">No color</option>';
var k = 0;
resultNames.forEach(resultName => {
var minMax = result_min_max[k];
if(minMax === undefined) {
minMax = "min [automatically chosen]"
}
selectBox += `<option value="${resultName}">${resultName} (${minMax})</option>`;
k = k + 1;
});
selectBox += '</select>';
$("#parallel-plot").before(selectBox);
$("#result-select").change(function() {
const selectedResult = $(this).val();
if (selectedResult === "none") {
colorValues = null;
colorScale = null;
} else {
const resultCol = numericalCols.find(col => col.name.toLowerCase() === selectedResult.toLowerCase());
colorValues = dataArray.map(row => parseFloat(row[resultCol.index]));
let minResult = Math.min(...colorValues);
let maxResult = Math.max(...colorValues);
var _result_min_max_idx = result_names.indexOf(selectedResult);
let invertColor = false;
if (result_min_max.length > _result_min_max_idx) {
invertColor = result_min_max[_result_min_max_idx] === "max";
}
colorScale = invertColor
? [[0, 'red'], [1, 'green']]
: [[0, 'green'], [1, 'red']];
}
updatePlot();
});
} else {
let invertColor = false;
if (Object.keys(result_min_max).length == 1) {
invertColor = result_min_max[0] === "max";
}
colorScale = invertColor
? [[0, 'red'], [1, 'green']]
: [[0, 'green'], [1, 'red']];
const resultCol = numericalCols.find(col => col.name.toLowerCase() === resultNames[0].toLowerCase());
colorValues = dataArray.map(row => parseFloat(row[resultCol.index]));
}
function updatePlot() {
const trace = {
type: 'parcoords',
dimensions: dimensions,
line: colorValues ? { color: colorValues, colorscale: colorScale } : {},
unselected: {
line: {
color: get_text_color(),
opacity: 0
}
},
};
dimensions.forEach(dim => {
if (!dim.line) {
dim.line = {};
}
if (!dim.line.color) {
dim.line.color = 'rgba(169,169,169, 0.01)';
}
});
Plotly.newPlot('parallel-plot', [trace], add_default_layout_data({}));
make_text_in_parallel_plot_nicer();
}
updatePlot();
$("#parallel-plot").data("loaded", "true");
make_text_in_parallel_plot_nicer();
}
function plotWorkerUsage() {
if($("#workerUsagePlot").data("loaded") == "true") {
return;
}
var data = tab_worker_usage_csv_json;
if (!Array.isArray(data) || data.length === 0) {
console.error("Invalid or empty data provided.");
return;
}
let timestamps = [];
let desiredWorkers = [];
let realWorkers = [];
for (let i = 0; i < data.length; i++) {
let entry = data[i];
if (!Array.isArray(entry) || entry.length < 3) {
console.warn("Skipping invalid entry:", entry);
continue;
}
let unixTime = parseFloat(entry[0]);
let desired = parseInt(entry[1], 10);
let real = parseInt(entry[2], 10);
if (isNaN(unixTime) || isNaN(desired) || isNaN(real)) {
console.warn("Skipping invalid numerical values:", entry);
continue;
}
timestamps.push(new Date(unixTime * 1000).toISOString());
desiredWorkers.push(desired);
realWorkers.push(real);
}
let trace1 = {
x: timestamps,
y: desiredWorkers,
mode: 'lines+markers',
name: 'Desired Workers',
line: {
color: 'blue'
}
};
let trace2 = {
x: timestamps,
y: realWorkers,
mode: 'lines+markers',
name: 'Real Workers',
line: {
color: 'red'
}
};
let layout = {
title: "Worker Usage Over Time",
xaxis: {
title: get_axis_title_data("Time", "date")
},
yaxis: {
title: get_axis_title_data("Number of Workers")
},
legend: {
x: 0,
y: 1
}
};
Plotly.newPlot('workerUsagePlot', [trace1, trace2], add_default_layout_data(layout));
$("#workerUsagePlot").data("loaded", "true");
}
function plotCPUAndRAMUsage() {
if($("#mainWorkerCPURAM").data("loaded") == "true") {
return;
}
var timestamps = tab_main_worker_cpu_ram_csv_json.map(row => new Date(row[0] * 1000));
var ramUsage = tab_main_worker_cpu_ram_csv_json.map(row => row[1]);
var cpuUsage = tab_main_worker_cpu_ram_csv_json.map(row => row[2]);
var trace1 = {
x: timestamps,
y: cpuUsage,
mode: 'lines+markers',
marker: {
size: get_marker_size(),
},
name: 'CPU Usage (%)',
type: 'scatter',
yaxis: 'y1'
};
var trace2 = {
x: timestamps,
y: ramUsage,
mode: 'lines+markers',
marker: {
size: get_marker_size(),
},
name: 'RAM Usage (MB)',
type: 'scatter',
yaxis: 'y2'
};
var layout = {
title: 'CPU and RAM Usage Over Time',
xaxis: {
title: get_axis_title_data("Timestamp", "date"),
tickmode: 'array',
tickvals: timestamps.filter((_, index) => index % Math.max(Math.floor(timestamps.length / 10), 1) === 0),
ticktext: timestamps.filter((_, index) => index % Math.max(Math.floor(timestamps.length / 10), 1) === 0).map(t => t.toLocaleString()),
tickangle: -45
},
yaxis: {
title: get_axis_title_data("CPU Usage (%)"),
rangemode: 'tozero'
},
yaxis2: {
title: get_axis_title_data("RAM Usage (MB)"),
overlaying: 'y',
side: 'right',
rangemode: 'tozero'
},
legend: {
x: 0.1,
y: 0.9
}
};
var data = [trace1, trace2];
Plotly.newPlot('mainWorkerCPURAM', data, add_default_layout_data(layout));
$("#mainWorkerCPURAM").data("loaded", "true");
}
function plotScatter2d() {
if ($("#plotScatter2d").data("loaded") == "true") {
return;
}
var plotDiv = document.getElementById("plotScatter2d");
var minInput = document.getElementById("minValue");
var maxInput = document.getElementById("maxValue");
if (!minInput || !maxInput) {
minInput = document.createElement("input");
minInput.id = "minValue";
minInput.type = "number";
minInput.placeholder = "Min Value";
minInput.step = "any";
maxInput = document.createElement("input");
maxInput.id = "maxValue";
maxInput.type = "number";
maxInput.placeholder = "Max Value";
maxInput.step = "any";
var inputContainer = document.createElement("div");
inputContainer.style.marginBottom = "10px";
inputContainer.appendChild(minInput);
inputContainer.appendChild(maxInput);
plotDiv.appendChild(inputContainer);
}
var resultSelect = document.getElementById("resultSelect");
if (result_names.length > 1 && !resultSelect) {
resultSelect = document.createElement("select");
resultSelect.id = "resultSelect";
resultSelect.style.marginBottom = "10px";
var sortedResults = [...result_names].sort();
sortedResults.forEach(result => {
var option = document.createElement("option");
option.value = result;
option.textContent = result;
resultSelect.appendChild(option);
});
var selectContainer = document.createElement("div");
selectContainer.style.marginBottom = "10px";
selectContainer.appendChild(resultSelect);
plotDiv.appendChild(selectContainer);
}
minInput.addEventListener("input", updatePlots);
maxInput.addEventListener("input", updatePlots);
if (resultSelect) {
resultSelect.addEventListener("change", updatePlots);
}
updatePlots();
async function updatePlots() {
var minValue = parseFloat(minInput.value);
var maxValue = parseFloat(maxInput.value);
if (isNaN(minValue)) minValue = -Infinity;
if (isNaN(maxValue)) maxValue = Infinity;
while (plotDiv.children.length > 2) {
plotDiv.removeChild(plotDiv.lastChild);
}
var selectedResult = resultSelect ? resultSelect.value : result_names[0];
var resultIndex = tab_results_headers_json.findIndex(header =>
header.toLowerCase() === selectedResult.toLowerCase()
);
var resultValues = tab_results_csv_json.map(row => row[resultIndex]);
var minResult = Math.min(...resultValues.filter(value => value !== null && value !== ""));
var maxResult = Math.max(...resultValues.filter(value => value !== null && value !== ""));
if (minValue !== -Infinity) minResult = Math.max(minResult, minValue);
if (maxValue !== Infinity) maxResult = Math.min(maxResult, maxValue);
var invertColor = result_min_max[result_names.indexOf(selectedResult)] === "max";
var numericColumns = tab_results_headers_json.filter(col =>
!special_col_names.includes(col) && !result_names.includes(col) &&
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");
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<h1> Overview</h1>
<h2>Best parameter (total: 0): </h2><table cellspacing="0" cellpadding="5"><thead><tr><th> n_samples</th><th>n_permutations</th><th>update_interval</th><th>n_consecutive_dev…</th><th>result </th></tr></thead><tbody><tr><td> 147</td><td>22</td><td>146</td><td>4</td><td>0.272772 </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_permutations</td><td>range</td><td>10</td><td>50</td><td></td><td>int </td></tr><tr><td> update_interval</td><td>range</td><td>50</td><td>250</td><td></td><td>int </td></tr><tr><td> n_consecutive_deviations</td><td>range</td><td>1</td><td>5</td><td></td><td>int </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>492</td>
<td>16</td>
<td>508</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_permutations,update_interval,n_consecutive_deviations
0,0_0,COMPLETED,Sobol,0.282299812754708723261387603998,479,19,144,3
1,1_0,COMPLETED,Sobol,0.290230201564048884144142448349,473,19,180,5
2,2_0,COMPLETED,Sobol,0.292102654477365386576082073589,964,14,131,5
3,3_0,COMPLETED,Sobol,0.290230201564048884144142448349,406,20,147,5
4,4_0,COMPLETED,Sobol,0.292763520211477001886635207484,280,49,225,5
5,5_0,COMPLETED,Sobol,0.281694019165106279700694358326,321,24,112,5
6,6_0,COMPLETED,Sobol,0.296233065315563370845097779238,399,14,212,5
7,7_0,COMPLETED,Sobol,0.310717039321511179217338849412,981,18,52,1
8,8_0,COMPLETED,Sobol,0.286044718581341506080661929445,286,24,81,4
9,9_0,COMPLETED,Sobol,0.290946139442669893249160395499,595,13,174,2
10,10_0,COMPLETED,Sobol,0.299206961119065972809494269313,234,31,238,4
11,11_0,COMPLETED,Sobol,0.299977971142196264686674567201,383,14,242,4
12,12_0,COMPLETED,Sobol,0.286265007159378748191613794916,729,39,171,1
13,13_0,COMPLETED,Sobol,0.289624407974446551605751665193,638,18,195,3
14,14_0,COMPLETED,Sobol,0.295021478136358594746013750409,719,32,61,5
15,15_0,COMPLETED,Sobol,0.284502698535080922326301333669,879,20,109,3
16,16_0,COMPLETED,Sobol,0.292322943055402628687033939059,348,29,219,5
17,17_0,COMPLETED,Sobol,0.303667804824319875756089004426,728,44,59,1
18,18_0,COMPLETED,Sobol,0.288853397951316259728571367305,986,18,127,3
19,19_0,COMPLETED,Sobol,0.284667914968608881665090848401,445,27,148,1
20,20_0,COMPLETED,BoTorch,0.280923009141975987823514060437,478,25,118,3
21,21_0,COMPLETED,BoTorch,0.282024452032162087355970925273,533,35,133,3
22,22_0,COMPLETED,BoTorch,0.289238902962881350156010284991,431,15,112,4
23,23_0,COMPLETED,BoTorch,0.290120057275030318599817746872,206,28,121,3
24,24_0,COMPLETED,BoTorch,0.288798325806806865934106554050,557,31,111,4
25,25_0,COMPLETED,BoTorch,0.289899768696993076488865881402,431,15,117,3
26,26_0,COMPLETED,BoTorch,0.286595440026434666869192824379,165,13,99,5
27,27_0,COMPLETED,BoTorch,0.288467892939751058278829987103,279,40,109,5
28,28_0,COMPLETED,BoTorch,0.278995484084150202619412084459,350,39,158,3
29,29_0,COMPLETED,BoTorch,0.286099790725850899875126742700,611,27,128,2
30,30_0,COMPLETED,BoTorch,0.292378015199911911459196289798,576,22,106,4
31,31_0,COMPLETED,BoTorch,0.284612842824099598892928497662,673,37,122,3
32,32_0,COMPLETED,BoTorch,0.288908470095825542500733718043,198,18,117,3
33,33_0,COMPLETED,BoTorch,0.281694019165106279700694358326,307,34,128,3
34,34_0,COMPLETED,BoTorch,0.291772221610309467898503044125,428,21,111,3
35,35_0,COMPLETED,BoTorch,0.291001211587179176021322746237,425,38,121,3
36,36_0,COMPLETED,BoTorch,0.278609979072585112191973166773,141,33,112,4
37,37_0,COMPLETED,BoTorch,0.284833131402136841003880363132,557,14,122,2
38,38_0,COMPLETED,BoTorch,0.290450490142086126255094313819,611,24,126,3
39,39_0,COMPLETED,BoTorch,0.287751955061130049173812039953,612,32,119,4
40,40_0,COMPLETED,BoTorch,0.284502698535080922326301333669,465,36,157,3
41,41_0,COMPLETED,BoTorch,0.287807027205639442968276853207,444,40,158,2
42,42_0,COMPLETED,BoTorch,0.275140433968498743233510595019,493,47,168,3
43,43_0,COMPLETED,BoTorch,0.290230201564048884144142448349,432,31,151,3
44,44_0,COMPLETED,BoTorch,0.286815728604471908980144689849,381,50,167,2
45,45_0,COMPLETED,BoTorch,0.289844696552483793716703530663,557,34,160,3
46,46_0,COMPLETED,BoTorch,0.289293975107390632928172635729,420,43,155,4
47,47_0,COMPLETED,BoTorch,0.288247604361713816167878121632,401,43,142,3
48,48_0,COMPLETED,BoTorch,0.294415684546756262207622967253,659,47,175,3
49,49_0,COMPLETED,BoTorch,0.287201233616036999407583607535,418,33,150,2
50,50_0,COMPLETED,BoTorch,0.279986782685317736607544247818,368,34,170,2
51,51_0,COMPLETED,BoTorch,0.282520101332745854350037006952,479,36,164,2
52,52_0,COMPLETED,BoTorch,0.282685317766273813688826521684,100,50,169,3
53,53_0,COMPLETED,BoTorch,0.290615706575614085593883828551,100,35,131,5
54,54_0,COMPLETED,BoTorch,0.290120057275030318599817746872,932,50,161,3
55,55_0,COMPLETED,BoTorch,0.284612842824099598892928497662,100,44,141,4
56,56_0,COMPLETED,BoTorch,0.294470756691265544979785317992,100,32,95,5
57,57_0,COMPLETED,BoTorch,0.276241876858684842765967459854,851,50,148,2
58,58_0,COMPLETED,BoTorch,0.295902632448507563189821212291,408,50,180,3
59,59_0,COMPLETED,BoTorch,0.288137460072695250623553420155,754,50,169,4
60,60_0,COMPLETED,BoTorch,0.292212798766383952120406775066,100,50,112,4
61,61_0,COMPLETED,BoTorch,0.287036017182509040068794092804,1000,32,158,2
62,62_0,COMPLETED,BoTorch,0.290946139442669893249160395499,100,50,155,5
63,63_0,COMPLETED,BoTorch,0.287917171494658008512601554685,100,27,122,5
64,64_0,COMPLETED,BoTorch,0.275140433968498743233510595019,679,50,161,3
65,65_0,COMPLETED,BoTorch,0.291111355876197852587949910230,563,50,196,2
66,66_0,COMPLETED,BoTorch,0.283566472078422782132633983565,1000,44,152,2
67,67_0,COMPLETED,BoTorch,0.297995373939861196710410240485,100,27,67,5
68,68_0,COMPLETED,BoTorch,0.279215772662187444730363949930,713,50,143,1
69,69_0,COMPLETED,BoTorch,0.285438924991739173542271146289,100,39,156,2
70,70_0,COMPLETED,BoTorch,0.285989646436832223308499578707,100,28,157,3
71,71_0,COMPLETED,BoTorch,0.289404119396409309494799799722,582,50,140,2
72,72_0,COMPLETED,BoTorch,0.285549069280757739086595847766,1000,50,130,2
73,73_0,COMPLETED,BoTorch,0.283346183500385540021682118095,100,32,169,1
74,74_0,COMPLETED,BoTorch,0.286595440026434666869192824379,1000,50,144,1
75,75_0,COMPLETED,BoTorch,0.286209935014869465419451444177,264,50,147,1
76,76_0,COMPLETED,BoTorch,0.291607005176781619582015991909,449,49,138,1
77,77_0,COMPLETED,BoTorch,0.291331644454235094698901775701,100,41,129,1
78,78_0,COMPLETED,BoTorch,0.287696882916620766401649689215,730,48,134,1
79,79_0,COMPLETED,BoTorch,0.286209935014869465419451444177,100,29,152,1
80,80_0,COMPLETED,BoTorch,0.281253442009031795478790627385,714,32,144,1
81,81_0,COMPLETED,BoTorch,0.274534640378896299672817349347,127,50,140,2
82,82_0,COMPLETED,BoTorch,0.277563608326908295431678652676,667,50,157,1
83,83_0,COMPLETED,BoTorch,0.278830267650622354302925032243,713,42,150,2
84,84_0,COMPLETED,BoTorch,0.286375151448397424758240958909,1000,30,144,1
85,85_0,COMPLETED,BoTorch,0.285879502147813657764174877229,1000,50,140,3
86,86_0,COMPLETED,BoTorch,0.289404119396409309494799799722,175,10,155,1
87,87_0,COMPLETED,BoTorch,0.282024452032162087355970925273,654,50,148,3
88,88_0,COMPLETED,BoTorch,0.279986782685317736607544247818,892,50,160,1
89,89_0,COMPLETED,BoTorch,0.290946139442669893249160395499,595,50,153,2
90,90_0,COMPLETED,BoTorch,0.293589602379116687558280318626,189,50,165,1
91,91_0,COMPLETED,BoTorch,0.300198259720233506797626432672,100,20,180,1
92,92_0,COMPLETED,BoTorch,0.290009912986011642033190582879,100,34,175,2
93,93_0,COMPLETED,BoTorch,0.301024341887873081446969081298,100,50,181,1
94,94_0,COMPLETED,BoTorch,0.284778059257627447209415549878,370,50,156,1
95,95_0,COMPLETED,BoTorch,0.289018614384844108045058419521,961,38,138,2
96,96_0,COMPLETED,BoTorch,0.292928736645004961225424722215,763,41,152,1
97,97_0,COMPLETED,BoTorch,0.282905606344311055799778387154,300,50,151,3
98,98_0,COMPLETED,BoTorch,0.294140323824209737324508751044,791,50,158,2
99,99_0,COMPLETED,BoTorch,0.289679480118955834377914015931,802,40,141,2
100,100_0,COMPLETED,BoTorch,0.289404119396409309494799799722,767,31,150,2
101,101_0,COMPLETED,BoTorch,0.276241876858684842765967459854,886,10,146,1
102,102_0,COMPLETED,BoTorch,0.273928846789293967134426566190,873,15,152,2
103,103_0,COMPLETED,BoTorch,0.287146161471527716635421256797,964,50,158,2
104,104_0,COMPLETED,BoTorch,0.285438924991739173542271146289,100,50,144,3
105,105_0,COMPLETED,BoTorch,0.292102654477365386576082073589,788,41,157,1
106,106_0,COMPLETED,BoTorch,0.286980945037999757296631742065,100,10,133,4
107,107_0,COMPLETED,BoTorch,0.291827293754818861692967857380,778,45,156,2
108,108_0,COMPLETED,BoTorch,0.287531666483092807062860174483,100,50,151,3
109,109_0,COMPLETED,BoTorch,0.291276572309725700904436962446,1000,50,175,1
110,110_0,COMPLETED,BoTorch,0.283566472078422782132633983565,100,37,144,3
111,111_0,COMPLETED,BoTorch,0.289899768696993076488865881402,803,50,151,1
112,112_0,COMPLETED,BoTorch,0.281308514153541189273255440639,100,11,153,3
113,113_0,COMPLETED,BoTorch,0.278499834783566435625346002780,708,20,145,1
114,114_0,RUNNING,BoTorch,,1000,10,140,2
115,115_0,COMPLETED,BoTorch,0.283401255644894822793844468833,1000,10,158,1
116,116_0,COMPLETED,BoTorch,0.282244740610199329466922790743,673,10,148,2
117,117_0,COMPLETED,BoTorch,0.284117193523515831898862415983,1000,10,140,1
118,118_0,COMPLETED,BoTorch,0.281363586298050472045417791378,697,10,141,1
119,119_0,COMPLETED,BoTorch,0.282465029188236571577874656214,1000,10,155,2
120,120_0,COMPLETED,BoTorch,0.291221500165216418132274611708,772,11,142,1
121,121_0,COMPLETED,BoTorch,0.289349047251900026722637448984,950,10,158,3
122,122_0,COMPLETED,BoTorch,0.290009912986011642033190582879,627,10,142,2
123,123_0,COMPLETED,BoTorch,0.290946139442669893249160395499,757,14,158,1
124,124_0,COMPLETED,BoTorch,0.283346183500385540021682118095,1000,10,150,1
125,125_0,COMPLETED,BoTorch,0.287201233616036999407583607535,1000,10,145,3
126,126_0,COMPLETED,BoTorch,0.289789624407974399922238717409,806,12,149,3
127,127_0,COMPLETED,BoTorch,0.284007049234497155332235251990,1000,10,152,1
128,128_0,COMPLETED,BoTorch,0.279821566251789888291057195602,842,10,158,1
129,129_0,COMPLETED,BoTorch,0.289734552263465117150076366670,785,10,149,3
130,130_0,COMPLETED,BoTorch,0.283676616367441347676958685042,632,10,147,1
131,131_0,COMPLETED,BoTorch,0.274534640378896299672817349347,141,22,143,2
132,132_0,COMPLETED,BoTorch,0.287201233616036999407583607535,1000,10,133,1
133,133_0,COMPLETED,BoTorch,0.289404119396409309494799799722,616,50,134,4
134,134_0,COMPLETED,BoTorch,0.285163564269192648659156930080,1000,22,145,2
135,135_0,COMPLETED,BoTorch,0.288082387928185967851391069416,100,26,139,3
136,136_0,COMPLETED,BoTorch,0.289349047251900026722637448984,948,50,152,5
137,137_0,COMPLETED,BoTorch,0.286705584315453232413517525856,1000,50,122,5
138,138_0,COMPLETED,BoTorch,0.287036017182509040068794092804,100,34,140,2
139,139_0,COMPLETED,BoTorch,0.278004185482982668631279921101,123,10,132,2
140,140_0,COMPLETED,BoTorch,0.280207071263354978718496113288,330,50,139,3
141,141_0,COMPLETED,BoTorch,0.286209935014869465419451444177,100,27,139,2
142,142_0,COMPLETED,BoTorch,0.286595440026434666869192824379,1000,21,133,1
143,143_0,COMPLETED,BoTorch,0.279105628373168879186039248452,856,10,124,1
144,144_0,COMPLETED,BoTorch,0.286540367881925273074728011125,108,10,105,2
145,145_0,COMPLETED,BoTorch,0.294691045269302787090737183462,1000,10,179,1
146,146_0,COMPLETED,BoTorch,0.278499834783566435625346002780,321,10,134,1
147,147_0,COMPLETED,BoTorch,0.288467892939751058278829987103,100,10,126,1
148,148_0,COMPLETED,BoTorch,0.282024452032162087355970925273,268,10,142,2
149,149_0,COMPLETED,BoTorch,0.282740389910783096460988872423,273,10,139,1
150,150_0,COMPLETED,BoTorch,0.288192532217204533395715770894,100,19,135,1
151,151_0,COMPLETED,BoTorch,0.289569335829937268833589314454,100,10,138,3
152,152_0,COMPLETED,BoTorch,0.286760656459962515185679876595,100,10,137,1
153,153_0,COMPLETED,BoTorch,0.277618680471417578203841003415,324,10,151,2
154,154_0,COMPLETED,BoTorch,0.284612842824099598892928497662,374,22,143,2
155,155_0,COMPLETED,BoTorch,0.287751955061130049173812039953,1000,21,156,1
156,156_0,COMPLETED,BoTorch,0.291662077321290902354178342648,100,10,101,1
157,157_0,COMPLETED,BoTorch,0.291551933032272225787551178655,100,10,110,2
158,158_0,COMPLETED,BoTorch,0.287862099350148725740439203946,460,19,152,2
159,159_0,COMPLETED,BoTorch,0.287917171494658008512601554685,1000,50,91,5
160,160_0,COMPLETED,BoTorch,0.286154862870360182647289093438,100,10,139,2
161,161_0,COMPLETED,BoTorch,0.283621544222932064904796334304,477,10,142,2
162,162_0,COMPLETED,BoTorch,0.277563608326908295431678652676,535,10,138,1
163,163_0,COMPLETED,BoTorch,0.289844696552483793716703530663,576,10,133,1
164,164_0,COMPLETED,BoTorch,0.281198369864522512706628276646,541,18,141,1
165,165_0,COMPLETED,BoTorch,0.289128758673862784611685583513,100,10,152,2
166,166_0,COMPLETED,BoTorch,0.281473730587069037589742492855,476,10,149,1
167,167_0,COMPLETED,BoTorch,0.293314241656570051652863639902,221,20,151,2
168,168_0,COMPLETED,BoTorch,0.279270844806696727502526300668,486,10,139,2
169,169_0,RUNNING,BoTorch,,761,10,133,1
170,170_0,COMPLETED,BoTorch,0.290560634431104691799419015297,585,19,142,2
171,171_0,COMPLETED,BoTorch,0.282299812754708723261387603998,665,22,131,1
172,172_0,COMPLETED,BoTorch,0.289569335829937268833589314454,424,50,130,3
173,173_0,COMPLETED,BoTorch,0.286650512170943949641355175117,1000,50,104,5
174,174_0,COMPLETED,BoTorch,0.275360722546535985344462460489,148,46,162,4
175,175_0,COMPLETED,BoTorch,0.286980945037999757296631742065,1000,10,108,1
176,176_0,COMPLETED,BoTorch,0.277067959026324528437612570997,694,10,137,1
177,177_0,COMPLETED,BoTorch,0.285824430003304374992012526491,323,50,159,4
178,178_0,COMPLETED,BoTorch,0.284778059257627447209415549878,376,29,136,1
179,179_0,COMPLETED,BoTorch,0.288192532217204533395715770894,1000,50,118,2
180,180_0,COMPLETED,BoTorch,0.289679480118955834377914015931,100,27,158,4
181,181_0,COMPLETED,BoTorch,0.284062121379006549126700065244,1000,22,120,1
182,182_0,COMPLETED,BoTorch,0.290670778720123368366046179290,100,50,177,5
183,183_0,COMPLETED,BoTorch,0.284392554246062356781976632192,100,50,165,5
184,184_0,COMPLETED,BoTorch,0.290560634431104691799419015297,100,50,160,3
185,185_0,RUNNING,BoTorch,,733,10,135,2
186,186_0,COMPLETED,BoTorch,0.277838969049454820314792868885,507,50,129,5
187,187_0,COMPLETED,BoTorch,0.286209935014869465419451444177,100,10,146,5
188,188_0,COMPLETED,BoTorch,0.286375151448397424758240958909,100,50,157,4
189,189_0,COMPLETED,BoTorch,0.289844696552483793716703530663,745,20,115,1
190,190_0,COMPLETED,BoTorch,0.279436061240224686841315815400,157,50,162,4
191,191_0,COMPLETED,BoTorch,0.287366450049564958746373122267,535,10,127,1
192,192_0,COMPLETED,BoTorch,0.282244740610199329466922790743,161,38,155,3
193,193_0,COMPLETED,BoTorch,0.283401255644894822793844468833,368,50,140,5
194,194_0,COMPLETED,BoTorch,0.273873774644784684362264215451,141,50,131,5
195,195_0,RUNNING,BoTorch,,601,37,131,1
196,196_0,COMPLETED,BoTorch,0.286154862870360182647289093438,395,50,143,4
197,197_0,COMPLETED,BoTorch,0.275305650402026702572300109750,519,50,157,4
198,198_0,COMPLETED,BoTorch,0.288192532217204533395715770894,100,50,130,2
199,199_0,COMPLETED,BoTorch,0.285989646436832223308499578707,1000,38,135,5
200,200_0,COMPLETED,BoTorch,0.286650512170943949641355175117,100,40,144,1
201,201_0,RUNNING,BoTorch,,560,50,146,4
202,202_0,COMPLETED,BoTorch,0.287972243639167291284763905423,203,50,117,5
203,203_0,COMPLETED,BoTorch,0.286540367881925273074728011125,100,50,135,3
204,204_0,COMPLETED,BoTorch,0.289073686529353501839523232775,555,50,117,1
205,205_0,COMPLETED,BoTorch,0.280041854829827019379706598556,467,50,151,5
206,206_0,COMPLETED,BoTorch,0.280812864852957422279189358960,100,50,142,5
207,207_0,COMPLETED,BoTorch,0.290175129419539601371980097611,244,50,137,5
208,208_0,COMPLETED,BoTorch,0.280592576274920180168237493490,649,50,163,5
209,209_0,RUNNING,BoTorch,,458,40,136,5
210,210_0,COMPLETED,BoTorch,0.282630245621764530916664170945,321,50,136,5
211,211_0,COMPLETED,BoTorch,0.288798325806806865934106554050,626,50,143,5
212,212_0,COMPLETED,BoTorch,0.280978081286485270595676411176,302,50,147,4
213,213_0,COMPLETED,BoTorch,0.285714285714285698425385362498,1000,34,124,1
214,214_0,COMPLETED,BoTorch,0.287311377905055675974210771528,1000,50,110,1
215,215_0,COMPLETED,BoTorch,0.291441788743253660243226477178,209,50,143,5
216,216_0,COMPLETED,BoTorch,0.286154862870360182647289093438,623,38,156,5
217,217_0,COMPLETED,BoTorch,0.288578037228769734845457151096,993,50,138,4
218,218_0,COMPLETED,BoTorch,0.284943275691155406548205064610,389,50,157,5
219,219_0,COMPLETED,BoTorch,0.293644674523625970330442669365,401,50,170,5
220,220_0,COMPLETED,BoTorch,0.284227337812534397443187117460,100,39,152,5
221,221_0,COMPLETED,BoTorch,0.292598303777949153570148155268,427,50,155,4
222,222_0,COMPLETED,BoTorch,0.288853397951316259728571367305,433,50,154,3
223,223_0,COMPLETED,BoTorch,0.287751955061130049173812039953,1000,50,179,5
224,224_0,COMPLETED,BoTorch,0.291827293754818861692967857380,774,44,174,5
225,225_0,COMPLETED,BoTorch,0.288798325806806865934106554050,1000,50,198,5
226,226_0,COMPLETED,BoTorch,0.288082387928185967851391069416,629,50,117,5
227,227_0,COMPLETED,BoTorch,0.280592576274920180168237493490,315,42,162,5
228,228_0,COMPLETED,BoTorch,0.302621434078643058995794490329,1000,49,184,5
229,229_0,COMPLETED,BoTorch,0.287091089327018433863258906058,1000,10,123,2
230,230_0,COMPLETED,BoTorch,0.288743253662297583161944203312,100,50,134,4
231,231_0,COMPLETED,BoTorch,0.289183830818372067383847934252,1000,10,132,2
232,232_0,COMPLETED,BoTorch,0.293754818812644535874767370842,412,13,136,1
233,233_0,COMPLETED,BoTorch,0.293534530234607293763815505372,583,10,156,4
234,234_0,COMPLETED,BoTorch,0.289844696552483793716703530663,599,50,122,5
235,235_0,COMPLETED,BoTorch,0.285438924991739173542271146289,1000,25,108,5
236,236_0,COMPLETED,BoTorch,0.296398281749091330183887293970,414,10,117,5
237,237_0,COMPLETED,BoTorch,0.294470756691265544979785317992,100,50,107,1
238,238_0,COMPLETED,BoTorch,0.290175129419539601371980097611,762,18,139,1
239,239_0,COMPLETED,BoTorch,0.276957814737305851870985407004,345,43,148,5
240,240_0,COMPLETED,BoTorch,0.287366450049564958746373122267,100,33,146,4
241,241_0,COMPLETED,BoTorch,0.281749091309615562472856709064,276,40,148,4
242,242_0,COMPLETED,BoTorch,0.293424385945588728219490803895,100,50,92,1
243,243_0,COMPLETED,BoTorch,0.286870800748981191752307040588,1000,50,250,1
244,244_0,COMPLETED,BoTorch,0.286430223592906707530403309647,819,39,143,5
245,245_0,COMPLETED,BoTorch,0.278389690494547870081021301303,332,20,136,3
246,246_0,COMPLETED,BoTorch,0.291056283731688458793485096976,219,50,107,2
247,247_0,COMPLETED,BoTorch,0.287146161471527716635421256797,1000,41,133,1
248,248_0,COMPLETED,BoTorch,0.284172265668025114671024766722,100,46,150,4
249,249_0,COMPLETED,BoTorch,0.278169401916510627970069435833,362,41,150,3
250,250_0,COMPLETED,BoTorch,0.280041854829827019379706598556,532,36,145,4
251,251_0,COMPLETED,BoTorch,0.279656349818261928952267680870,512,41,148,4
252,252_0,COMPLETED,BoTorch,0.279105628373168879186039248452,493,33,141,2
253,253_0,COMPLETED,BoTorch,0.280702720563938745712562194967,740,46,151,4
254,254_0,COMPLETED,BoTorch,0.290560634431104691799419015297,604,41,142,4
255,255_0,COMPLETED,BoTorch,0.288412820795241775506667636364,1000,30,123,5
256,256_0,COMPLETED,BoTorch,0.287366450049564958746373122267,100,36,163,5
257,257_0,COMPLETED,BoTorch,0.286870800748981191752307040588,100,31,148,5
258,258_0,COMPLETED,BoTorch,0.283125894922348297910730252624,379,38,143,5
259,259_0,COMPLETED,BoTorch,0.291441788743253660243226477178,1000,33,146,3
260,260_0,COMPLETED,BoTorch,0.288027315783676574056926256162,252,35,143,5
261,261_0,COMPLETED,BoTorch,0.286154862870360182647289093438,559,40,143,3
262,262_0,COMPLETED,BoTorch,0.288688181517788300389781852573,268,38,147,3
263,263_0,COMPLETED,BoTorch,0.278609979072585112191973166773,316,34,154,4
264,264_0,COMPLETED,BoTorch,0.278554906928075829419810816034,475,42,146,3
265,265_0,COMPLETED,BoTorch,0.284722987113118164437253199139,292,34,151,3
266,266_0,COMPLETED,BoTorch,0.296893931049675097177953375649,209,50,152,5
267,267_0,COMPLETED,BoTorch,0.276241876858684842765967459854,304,31,141,3
268,268_0,COMPLETED,BoTorch,0.291331644454235094698901775701,1000,10,108,4
269,269_0,COMPLETED,BoTorch,0.287201233616036999407583607535,565,27,122,1
270,270_0,COMPLETED,BoTorch,0.289569335829937268833589314454,1000,50,250,5
271,271_0,COMPLETED,BoTorch,0.289514263685427875039124501200,1000,10,96,5
272,272_0,COMPLETED,BoTorch,0.282244740610199329466922790743,471,50,140,5
273,273_0,COMPLETED,BoTorch,0.289624407974446551605751665193,243,24,147,3
274,274_0,COMPLETED,BoTorch,0.292157726621874669348244424327,404,35,157,5
275,275_0,COMPLETED,BoTorch,0.278059257627492062425744734355,297,33,143,2
276,276_0,COMPLETED,BoTorch,0.283511399933913388338169170311,364,37,141,4
277,277_0,COMPLETED,BoTorch,0.284833131402136841003880363132,392,50,148,3
278,278_0,COMPLETED,BoTorch,0.277343319748871053320726787206,336,16,139,2
279,279_0,COMPLETED,BoTorch,0.281088225575503947162303575169,315,36,148,2
280,280_0,COMPLETED,BoTorch,0.276131732569666277221642758377,486,45,145,2
281,281_0,COMPLETED,BoTorch,0.285824430003304374992012526491,254,42,135,4
282,282_0,COMPLETED,BoTorch,0.278665051217094394964135517512,286,40,140,3
283,283_0,COMPLETED,BoTorch,0.280482431985901503601610329497,353,10,137,3
284,284_0,COMPLETED,BoTorch,0.287366450049564958746373122267,391,29,141,2
285,285_0,COMPLETED,BoTorch,0.284667914968608881665090848401,431,35,142,3
286,286_0,COMPLETED,BoTorch,0.288027315783676574056926256162,664,50,103,5
287,287_0,COMPLETED,BoTorch,0.284282409957043680215349468199,290,49,158,3
288,288_0,COMPLETED,BoTorch,0.290009912986011642033190582879,557,22,150,1
289,289_0,COMPLETED,BoTorch,0.298160590373389156049199755216,1000,19,250,1
290,290_0,COMPLETED,BoTorch,0.284722987113118164437253199139,549,37,145,1
291,291_0,COMPLETED,BoTorch,0.287586738627602200857324987737,1000,10,240,1
292,292_0,RUNNING,BoTorch,,429,42,152,2
293,293_0,COMPLETED,BoTorch,0.281914307743143521811646223796,369,41,142,2
294,294_0,COMPLETED,BoTorch,0.292653375922458436342310506006,419,18,146,1
295,295_0,COMPLETED,BoTorch,0.292212798766383952120406775066,225,23,131,2
296,296_0,COMPLETED,BoTorch,0.292267870910893234892569125805,414,23,137,2
297,297_0,COMPLETED,BoTorch,0.282409957043727288805712305475,317,12,133,2
298,298_0,COMPLETED,BoTorch,0.294691045269302787090737183462,609,28,139,3
299,299_0,COMPLETED,BoTorch,0.280041854829827019379706598556,492,50,144,3
300,300_0,COMPLETED,BoTorch,0.290009912986011642033190582879,792,18,150,1
301,301_0,COMPLETED,BoTorch,0.282024452032162087355970925273,308,46,152,2
302,302_0,COMPLETED,BoTorch,0.282189668465690046694760440005,659,23,147,2
303,303_0,COMPLETED,BoTorch,0.280427359841392220829447978758,326,30,133,5
304,304_0,COMPLETED,BoTorch,0.288578037228769734845457151096,267,10,144,3
305,305_0,COMPLETED,BoTorch,0.287586738627602200857324987737,606,50,138,3
306,306_0,COMPLETED,BoTorch,0.275525938980063833660949512705,513,44,151,3
307,74_0,COMPLETED,BoTorch,0.286540367881925273074728011125,1000,50,144,1
308,308_0,COMPLETED,BoTorch,0.292378015199911911459196289798,1000,50,97,3
309,309_0,COMPLETED,BoTorch,0.287036017182509040068794092804,388,42,147,4
310,310_0,COMPLETED,BoTorch,0.289514263685427875039124501200,393,45,148,3
311,311_0,COMPLETED,BoTorch,0.290891067298160610476998044760,587,10,155,1
312,312_0,COMPLETED,BoTorch,0.288027315783676574056926256162,187,42,147,3
313,313_0,COMPLETED,BoTorch,0.286595440026434666869192824379,1000,31,119,3
314,314_0,COMPLETED,BoTorch,0.287531666483092807062860174483,273,50,147,2
315,315_0,COMPLETED,BoTorch,0.284007049234497155332235251990,473,45,144,4
316,316_0,RUNNING,BoTorch,,100,39,136,5
317,317_0,COMPLETED,BoTorch,0.284172265668025114671024766722,370,44,156,3
318,318_0,COMPLETED,BoTorch,0.293314241656570051652863639902,1000,50,229,1
319,319_0,COMPLETED,BoTorch,0.278720123361603677736297868250,288,30,145,4
320,320_0,COMPLETED,BoTorch,0.282244740610199329466922790743,100,10,168,4
321,321_0,COMPLETED,BoTorch,0.286485295737415990302565660386,993,10,125,1
322,322_0,COMPLETED,BoTorch,0.287201233616036999407583607535,100,31,131,4
323,323_0,COMPLETED,BoTorch,0.286595440026434666869192824379,1000,10,107,2
324,324_0,COMPLETED,BoTorch,0.283511399933913388338169170311,100,13,160,5
325,325_0,COMPLETED,BoTorch,0.286870800748981191752307040588,100,42,122,5
326,326_0,COMPLETED,BoTorch,0.285163564269192648659156930080,1000,14,142,1
327,327_0,COMPLETED,BoTorch,0.291441788743253660243226477178,450,16,154,3
328,328_0,COMPLETED,BoTorch,0.292047582332855992781617260334,405,13,130,3
329,329_0,COMPLETED,BoTorch,0.283346183500385540021682118095,461,35,151,4
330,330_0,COMPLETED,BoTorch,0.276517237581231367649081676063,696,10,133,3
331,331_0,COMPLETED,BoTorch,0.287366450049564958746373122267,218,17,155,5
332,332_0,COMPLETED,BoTorch,0.281088225575503947162303575169,100,34,168,4
333,333_0,COMPLETED,BoTorch,0.283180967066857580682892603363,100,37,174,4
334,334_0,COMPLETED,BoTorch,0.292488159488930477003520991275,205,31,138,4
335,335_0,COMPLETED,BoTorch,0.289293975107390632928172635729,417,30,137,4
336,336_0,COMPLETED,BoTorch,0.272992620332635715918456753570,138,10,146,1
337,337_0,COMPLETED,BoTorch,0.290670778720123368366046179290,602,35,126,5
338,338_0,COMPLETED,BoTorch,0.279601277673752646180105330131,147,36,135,3
339,339_0,COMPLETED,BoTorch,0.290615706575614085593883828551,800,50,131,5
340,340_0,COMPLETED,BoTorch,0.289459191540918592266962150461,100,30,126,1
341,341_0,COMPLETED,BoTorch,0.285659213569776415653223011759,100,22,169,5
342,342_0,COMPLETED,BoTorch,0.282850534199801773027616036416,463,10,142,1
343,343_0,COMPLETED,BoTorch,0.287696882916620766401649689215,1000,10,139,5
344,344_0,COMPLETED,BoTorch,0.278940411939640919847249733721,326,19,155,4
345,345_0,COMPLETED,BoTorch,0.283841832800969307015748199774,1000,50,110,5
346,346_0,COMPLETED,BoTorch,0.279325916951206121296991113923,301,40,158,4
347,347_0,COMPLETED,BoTorch,0.281749091309615562472856709064,538,43,156,3
348,348_0,COMPLETED,BoTorch,0.283841832800969307015748199774,722,10,156,2
349,349_0,COMPLETED,BoTorch,0.289954840841502359261028232140,425,43,161,4
350,350_0,COMPLETED,BoTorch,0.284282409957043680215349468199,668,50,154,5
351,351_0,COMPLETED,BoTorch,0.272772331754598473807504888100,141,37,155,4
352,352_0,COMPLETED,BoTorch,0.291276572309725700904436962446,100,10,180,5
353,353_0,COMPLETED,BoTorch,0.278279546205529193514394137310,163,37,160,4
354,354_0,COMPLETED,BoTorch,0.277783896904945426520328055631,314,46,152,4
355,355_0,COMPLETED,BoTorch,0.277949113338473385859117570362,481,50,151,4
356,356_0,COMPLETED,BoTorch,0.286760656459962515185679876595,283,47,145,3
357,357_0,COMPLETED,BoTorch,0.284337482101553074009814281453,100,10,161,4
358,358_0,COMPLETED,BoTorch,0.294085251679700454552346400305,100,44,150,2
359,359_0,COMPLETED,BoTorch,0.280151999118845695946333762549,294,40,153,3
360,360_0,COMPLETED,BoTorch,0.298766383962991488587590538373,207,36,160,3
361,361_0,COMPLETED,BoTorch,0.276241876858684842765967459854,493,33,164,4
362,362_0,COMPLETED,BoTorch,0.290835995153651327704835694021,100,50,250,1
363,363_0,COMPLETED,BoTorch,0.290395417997576843482931963081,248,40,155,4
364,364_0,COMPLETED,BoTorch,0.282134596321180763922598089266,354,24,159,2
365,365_0,COMPLETED,BoTorch,0.284227337812534397443187117460,100,10,167,5
366,366_0,COMPLETED,BoTorch,0.293369313801079445447328453156,100,10,182,5
367,367_0,COMPLETED,BoTorch,0.286705584315453232413517525856,171,17,145,3
368,368_0,COMPLETED,BoTorch,0.294140323824209737324508751044,204,25,160,3
369,369_0,COMPLETED,BoTorch,0.290340345853067560710769612342,1000,10,185,5
370,370_0,COMPLETED,BoTorch,0.279050556228659596413876897714,677,10,127,2
371,371_0,COMPLETED,BoTorch,0.286595440026434666869192824379,376,34,160,4
372,372_0,COMPLETED,BoTorch,0.290395417997576843482931963081,389,47,136,4
373,373_0,COMPLETED,BoTorch,0.290835995153651327704835694021,617,43,156,4
374,374_0,COMPLETED,BoTorch,0.284117193523515831898862415983,387,10,169,3
375,375_0,COMPLETED,BoTorch,0.287476594338583524290697823744,409,42,153,5
376,376_0,COMPLETED,BoTorch,0.277178103315343093981937272474,520,10,145,3
377,377_0,COMPLETED,BoTorch,0.284282409957043680215349468199,572,16,134,1
378,378_0,COMPLETED,BoTorch,0.285493997136248456314433497027,100,23,153,4
379,379_0,COMPLETED,BoTorch,0.278224474061019910742231786571,543,50,153,3
380,380_0,COMPLETED,BoTorch,0.287917171494658008512601554685,394,33,147,3
381,381_0,COMPLETED,BoTorch,0.286650512170943949641355175117,968,50,138,5
382,382_0,COMPLETED,BoTorch,0.288522965084260341050992337841,100,10,120,3
383,383_0,COMPLETED,BoTorch,0.286209935014869465419451444177,558,10,138,4
384,384_0,RUNNING,BoTorch,,314,24,150,4
385,385_0,COMPLETED,BoTorch,0.280427359841392220829447978758,479,10,148,5
386,386_0,COMPLETED,BoTorch,0.287036017182509040068794092804,376,43,126,5
387,387_0,COMPLETED,BoTorch,0.281583874876087714156369656848,544,50,147,2
388,388_0,COMPLETED,BoTorch,0.278885339795131637075087382982,529,10,135,2
389,389_0,COMPLETED,BoTorch,0.278720123361603677736297868250,494,10,140,3
390,390_0,COMPLETED,BoTorch,0.282520101332745854350037006952,706,44,164,2
391,391_0,COMPLETED,BoTorch,0.283621544222932064904796334304,642,34,135,2
392,392_0,COMPLETED,BoTorch,0.296233065315563370845097779238,780,10,142,2
393,393_0,COMPLETED,BoTorch,0.290615706575614085593883828551,769,33,142,4
394,394_0,COMPLETED,BoTorch,0.280537504130410786373772680236,472,10,148,2
395,395_0,COMPLETED,BoTorch,0.277949113338473385859117570362,347,10,144,4
396,396_0,COMPLETED,BoTorch,0.291441788743253660243226477178,767,43,141,3
397,397_0,COMPLETED,BoTorch,0.283951977089987872560072901251,370,10,139,2
398,398_0,COMPLETED,BoTorch,0.289789624407974399922238717409,964,28,136,2
399,399_0,COMPLETED,BoTorch,0.287421522194074241518535473006,1000,25,115,2
400,400_0,COMPLETED,BoTorch,0.281914307743143521811646223796,1000,10,160,5
401,401_0,COMPLETED,BoTorch,0.288522965084260341050992337841,174,10,149,4
402,402_0,COMPLETED,BoTorch,0.284337482101553074009814281453,282,10,153,5
403,403_0,COMPLETED,BoTorch,0.289293975107390632928172635729,786,10,164,5
404,404_0,COMPLETED,BoTorch,0.282079524176671481150435738527,269,10,156,3
405,405_0,COMPLETED,BoTorch,0.285769357858794981197547713236,385,19,142,3
406,406_0,COMPLETED,BoTorch,0.273047692477145109712921566825,136,23,152,3
407,407_0,COMPLETED,BoTorch,0.295021478136358594746013750409,100,50,187,5
408,408_0,COMPLETED,BoTorch,0.293975107390681777985719236312,429,10,148,3
409,409_0,COMPLETED,BoTorch,0.292212798766383952120406775066,240,10,162,3
410,410_0,COMPLETED,BoTorch,0.291717149465800185126340693387,432,10,131,2
411,411_0,COMPLETED,BoTorch,0.287862099350148725740439203946,251,10,147,2
412,412_0,COMPLETED,BoTorch,0.281143297720013229934465925908,532,22,162,3
413,413_0,COMPLETED,BoTorch,0.283621544222932064904796334304,100,10,144,2
414,414_0,COMPLETED,BoTorch,0.285493997136248456314433497027,1000,50,118,1
415,343_0,COMPLETED,BoTorch,0.287201233616036999407583607535,1000,10,139,5
416,416_0,COMPLETED,BoTorch,0.284392554246062356781976632192,100,10,146,3
417,417_0,COMPLETED,BoTorch,0.282134596321180763922598089266,335,10,154,4
418,418_0,COMPLETED,BoTorch,0.288027315783676574056926256162,1000,33,157,5
419,419_0,COMPLETED,BoTorch,0.282960678488820338571940737893,1000,38,150,1
420,420_0,COMPLETED,BoTorch,0.290670778720123368366046179290,1000,27,156,4
421,421_0,COMPLETED,BoTorch,0.283346183500385540021682118095,442,12,138,5
422,422_0,COMPLETED,BoTorch,0.275305650402026702572300109750,482,10,171,5
423,423_0,COMPLETED,BoTorch,0.278114329772001345197907085094,315,10,140,5
424,424_0,COMPLETED,BoTorch,0.288578037228769734845457151096,100,10,164,2
425,425_0,COMPLETED,BoTorch,0.285989646436832223308499578707,359,21,161,4
426,426_0,COMPLETED,BoTorch,0.284117193523515831898862415983,160,29,146,2
427,427_0,COMPLETED,BoTorch,0.288798325806806865934106554050,239,10,138,5
428,428_0,COMPLETED,BoTorch,0.285383852847229890770108795550,370,10,142,1
429,429_0,COMPLETED,BoTorch,0.295296838858905119629127966618,417,10,162,5
430,430_0,COMPLETED,BoTorch,0.277894041193964103086955219624,115,30,157,5
431,431_0,COMPLETED,BoTorch,0.283456327789404105566006819572,372,24,158,5
432,432_0,COMPLETED,BoTorch,0.277288247604361659526261973951,482,16,156,5
433,433_0,COMPLETED,BoTorch,0.292322943055402628687033939059,593,16,161,5
434,434_0,COMPLETED,BoTorch,0.283786760656459913221283386520,726,10,158,5
435,435_0,COMPLETED,BoTorch,0.291001211587179176021322746237,569,10,160,5
436,436_0,COMPLETED,BoTorch,0.273543341777728876706987648504,502,28,155,3
437,437_0,COMPLETED,BoTorch,0.283401255644894822793844468833,279,10,133,4
438,438_0,COMPLETED,BoTorch,0.285934574292322940536337227968,1000,50,119,3
439,439_0,COMPLETED,BoTorch,0.279380989095715404069153464661,481,39,150,3
440,440_0,COMPLETED,BoTorch,0.281694019165106279700694358326,678,10,123,5
441,441_0,COMPLETED,BoTorch,0.285438924991739173542271146289,280,18,133,5
442,442_0,COMPLETED,BoTorch,0.282465029188236571577874656214,293,31,150,5
443,443_0,COMPLETED,BoTorch,0.278059257627492062425744734355,894,10,119,3
444,444_0,COMPLETED,BoTorch,0.293204097367551486108538938424,616,23,168,5
445,445_0,COMPLETED,BoTorch,0.272772331754598473807504888100,147,22,146,4
446,446_0,COMPLETED,BoTorch,0.288743253662297583161944203312,557,34,152,2
447,447_0,COMPLETED,BoTorch,0.288798325806806865934106554050,1000,31,153,5
448,448_0,COMPLETED,BoTorch,0.282740389910783096460988872423,827,25,157,2
449,449_0,COMPLETED,BoTorch,0.288963542240334825272896068782,256,29,150,4
450,450_0,COMPLETED,BoTorch,0.282299812754708723261387603998,1000,10,167,1
451,451_0,COMPLETED,BoTorch,0.291276572309725700904436962446,240,23,142,5
452,452_0,COMPLETED,BoTorch,0.283070822777839015138567901886,100,24,143,5
453,453_0,COMPLETED,BoTorch,0.276737526159268609760033541534,320,21,144,4
454,454_0,COMPLETED,BoTorch,0.285383852847229890770108795550,100,34,151,4
455,455_0,COMPLETED,BoTorch,0.285824430003304374992012526491,653,10,141,3
456,456_0,COMPLETED,BoTorch,0.284667914968608881665090848401,468,29,150,5
457,457_0,COMPLETED,BoTorch,0.284943275691155406548205064610,100,20,150,5
458,458_0,COMPLETED,BoTorch,0.276792598303778003554498354788,685,10,113,5
459,459_0,COMPLETED,BoTorch,0.288247604361713816167878121632,100,10,121,5
460,460_0,COMPLETED,BoTorch,0.282189668465690046694760440005,1000,10,167,2
461,461_0,COMPLETED,BoTorch,0.288412820795241775506667636364,1000,27,160,1
462,462_0,COMPLETED,BoTorch,0.286320079303888141986078608170,761,10,136,5
463,463_0,COMPLETED,BoTorch,0.289569335829937268833589314454,570,27,151,3
464,464_0,COMPLETED,BoTorch,0.283401255644894822793844468833,371,23,148,3
465,465_0,COMPLETED,BoTorch,0.277894041193964103086955219624,538,10,132,3
466,466_0,COMPLETED,BoTorch,0.289128758673862784611685583513,585,34,154,1
467,467_0,COMPLETED,BoTorch,0.288192532217204533395715770894,1000,10,113,5
468,468_0,COMPLETED,BoTorch,0.284667914968608881665090848401,477,11,145,4
469,469_0,COMPLETED,BoTorch,0.281914307743143521811646223796,859,10,120,2
470,470_0,COMPLETED,BoTorch,0.280647648419429462940399844229,482,10,131,4
471,471_0,COMPLETED,BoTorch,0.294525828835774827751947668730,1000,10,188,1
472,472_0,COMPLETED,BoTorch,0.286485295737415990302565660386,656,10,124,3
473,473_0,COMPLETED,BoTorch,0.283786760656459913221283386520,1000,50,110,4
474,474_0,COMPLETED,BoTorch,0.292488159488930477003520991275,255,33,161,5
475,475_0,COMPLETED,BoTorch,0.289183830818372067383847934252,548,10,102,5
476,476_0,COMPLETED,BoTorch,0.290725850864632651138208530028,581,10,104,5
477,477_0,COMPLETED,BoTorch,0.280151999118845695946333762549,333,50,136,2
478,478_0,COMPLETED,BoTorch,0.289293975107390632928172635729,1000,50,129,1
479,479_0,COMPLETED,BoTorch,0.283236039211366863455054954102,832,10,124,3
480,480_0,COMPLETED,BoTorch,0.279876638396299171063219546340,303,10,140,4
481,481_0,COMPLETED,BoTorch,0.291551933032272225787551178655,800,50,153,4
482,482_0,COMPLETED,BoTorch,0.288688181517788300389781852573,1000,29,117,3
483,483_0,COMPLETED,BoTorch,0.284833131402136841003880363132,372,50,129,4
484,484_0,COMPLETED,BoTorch,0.292267870910893234892569125805,391,50,120,5
485,485_0,COMPLETED,BoTorch,0.282795462055292379233151223161,1000,37,152,1
486,486_0,COMPLETED,BoTorch,0.285549069280757739086595847766,590,10,133,5
487,487_0,COMPLETED,BoTorch,0.282244740610199329466922790743,165,28,145,3
488,488_0,COMPLETED,BoTorch,0.288633109373279017617619501834,407,28,146,4
489,489_0,COMPLETED,BoTorch,0.290395417997576843482931963081,431,10,136,4
490,490_0,COMPLETED,BoTorch,0.286430223592906707530403309647,1000,50,132,1
491,491_0,COMPLETED,BoTorch,0.292598303777949153570148155268,762,10,115,1
492,492_0,COMPLETED,BoTorch,0.286815728604471908980144689849,613,10,144,4
493,493_0,COMPLETED,BoTorch,0.279876638396299171063219546340,851,10,124,5
494,494_0,COMPLETED,BoTorch,0.293699746668135253102605020104,409,10,130,5
495,495_0,COMPLETED,BoTorch,0.286925872893490474524469391326,100,10,107,5
496,496_0,COMPLETED,BoTorch,0.279491133384733969613478166139,352,36,151,4
497,497_0,COMPLETED,BoTorch,0.286870800748981191752307040588,259,23,142,3
498,498_0,COMPLETED,BoTorch,0.293975107390681777985719236312,100,10,128,5
499,499_0,COMPLETED,BoTorch,0.279931710540808453835381897079,349,31,144,1
500,500_0,COMPLETED,BoTorch,0.289018614384844108045058419521,1000,10,134,4
501,501_0,RUNNING,BoTorch,,316,25,155,3
502,502_0,RUNNING,BoTorch,,439,45,152,3
503,503_0,RUNNING,BoTorch,,287,19,150,5
504,504_0,RUNNING,BoTorch,,411,10,157,1
505,505_0,RUNNING,BoTorch,,528,27,160,2
506,506_0,RUNNING,BoTorch,,801,50,165,5
507,507_0,RUNNING,BoTorch,,575,50,152,1
</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
1727320696,476.01953125,34.5
1727320696,476.09765625,35.5
1727320696,476.12890625,34.4
1727320696,476.12890625,40.0
1727320696,476.12890625,25.0
1727320697,476.12890625,34.7
1727320697,476.12890625,38.1
1727320747,484.35546875,36.4
1727320747,484.35546875,36.6
1727320747,484.35546875,36.0
1727320747,484.35546875,41.9
1727320749,484.35546875,36.2
1727320749,484.35546875,29.7
1727320749,484.35546875,38.1
1727320749,484.35546875,28.1
1727320752,484.3671875,35.7
1727320752,484.3671875,37.8
1727320752,484.3671875,32.4
1727320752,484.3671875,40.9
1727320755,484.39453125,34.9
1727320755,484.39453125,30.8
1727320755,484.39453125,37.3
1727320755,484.39453125,28.6
1727320758,484.3984375,34.6
1727320758,484.3984375,37.2
1727320758,484.3984375,33.3
1727320758,484.3984375,30.6
1727320760,484.3984375,34.6
1727320760,484.3984375,34.7
1727320760,484.3984375,33.3
1727320760,484.3984375,38.6
1727320762,484.3984375,34.6
1727320762,484.3984375,41.3
1727320762,484.3984375,34.4
1727320762,484.3984375,30.6
1727320765,484.3984375,34.6
1727320765,484.3984375,38.6
1727320765,484.3984375,31.3
1727320765,484.3984375,40.9
1727320767,484.3984375,34.6
1727320767,484.3984375,38.6
1727320767,484.3984375,31.9
1727320767,484.3984375,40.5
1727320769,484.3984375,34.6
1727320769,484.3984375,25.0
1727320769,484.3984375,36.1
1727320769,484.3984375,27.3
1727320771,484.3984375,34.6
1727320771,484.3984375,25.0
1727320771,484.3984375,36.7
1727320771,484.3984375,26.5
1727320773,484.3984375,34.6
1727320773,484.3984375,38.6
1727320773,484.3984375,32.7
1727320773,484.3984375,40.9
1727320776,484.4296875,34.7
1727320776,484.4296875,38.6
1727320776,484.4296875,32.4
1727320776,484.4296875,43.2
1727320779,484.4296875,34.7
1727320779,484.4296875,37.2
1727320779,484.4296875,31.6
1727320779,484.4296875,41.9
1727320946,525.5703125,35.7
1727320946,525.5703125,43.1
1727320946,525.5703125,36.7
1727320946,525.5703125,43.8
1727321073,528.33984375,30.4
1727321073,528.33984375,19.4
1727321073,528.33984375,31.9
1727321073,528.33984375,22.2
1727321245,531.08984375,26.6
1727321245,531.08984375,41.3
1727321245,531.08984375,32.1
1727321245,531.08984375,40.5
1727321431,544.953125,35.0
1727321431,544.953125,36.4
1727321431,544.953125,37.6
1727321431,544.953125,31.4
1727321650,537.79296875,29.8
1727321650,537.79296875,25.0
1727321650,537.79296875,34.2
1727321650,537.79296875,40.5
1727322056,543.125,31.8
1727322056,543.125,27.0
1727322056,543.125,35.4
1727322056,543.125,38.6
1727322436,543.9765625,32.7
1727322436,543.9765625,38.6
1727322436,543.9765625,32.5
1727322436,543.9765625,38.1
1727322779,549.23828125,29.6
1727322779,549.23828125,35.7
1727322779,549.23828125,27.7
1727322779,549.23828125,25.0
1727323060,569.51953125,28.2
1727323060,569.51953125,35.0
1727323060,569.51953125,26.9
1727323060,569.51953125,28.6
1727323435,576.47265625,25.4
1727323435,576.47265625,24.3
1727323435,576.47265625,18.4
1727323435,576.47265625,16.1
1727323826,557.25390625,27.2
1727323826,557.25390625,26.5
1727323826,557.25390625,30.8
1727323826,557.25390625,25.8
1727324239,574.08984375,26.4
1727324239,574.08984375,33.3
1727324239,574.08984375,27.2
1727324239,574.08984375,36.8
1727324608,539.65234375,25.4
1727324608,539.65234375,13.5
1727324608,539.65234375,20.6
1727324608,539.65234375,15.2
1727324985,538.99609375,28.7
1727324985,538.99609375,21.9
1727324985,538.99609375,30.3
1727324985,538.99609375,22.6
1727325395,563.5078125,27.4
1727325395,563.5078125,34.2
1727325395,563.5078125,28.8
1727325395,563.5078125,25.0
1727325866,587.31640625,13.6
1727325866,587.31640625,13.9
1727325866,587.31640625,9.7
1727325866,587.31640625,9.1
1727326303,584.83984375,7.8
1727326303,584.83984375,0.0
1727326303,584.83984375,0.0
1727326303,584.83984375,0.0
1727326772,587.84765625,0.7
1727326772,587.84765625,0.0
1727326772,587.84765625,0.0
1727326772,587.84765625,0.0
1727327321,561.2578125,0.7
1727327321,561.2578125,0.0
1727327321,561.2578125,0.5
1727327321,561.2578125,0.0
1727327903,576.265625,0.7
1727327903,576.265625,0.0
1727327903,576.265625,0.0
1727327903,576.265625,2.9
1727328445,590.28515625,0.7
1727328445,590.28515625,2.7
1727328445,590.28515625,0.5
1727328445,590.28515625,0.0
1727328989,590.0859375,0.7
1727328989,590.0859375,0.0
1727328989,590.0859375,0.0
1727328989,590.0859375,2.8
1727329609,505.39453125,0.7
1727329609,505.39453125,0.0
1727329609,505.39453125,0.4
1727329609,505.39453125,0.0
1727330190,516.09765625,0.7
1727330190,516.09765625,0.0
1727330190,516.09765625,0.0
1727330190,516.09765625,0.0
1727330837,490.59765625,0.7
1727330837,490.59765625,0.0
1727330837,490.59765625,0.5
1727330837,490.59765625,0.0
1727331498,519.734375,0.7
1727331498,519.734375,0.0
1727331498,519.734375,0.5
1727331498,519.734375,0.0
1727332245,489.1640625,0.7
1727332245,489.1640625,0.0
1727332245,489.1640625,0.5
1727332245,489.1640625,0.0
1727333050,515.62109375,0.7
1727333050,515.62109375,0.0
1727333050,515.62109375,0.0
1727333050,515.62109375,0.0
1727333905,466.2890625,0.7
1727333905,466.2890625,0.0
1727333905,466.2890625,0.9
1727333905,466.2890625,0.0
1727334756,504.7578125,0.7
1727334756,504.7578125,0.0
1727334756,504.7578125,0.8
1727334756,504.7578125,0.0
1727335521,497.57421875,0.7
1727335521,497.57421875,0.0
1727335521,497.57421875,0.0
1727335521,497.57421875,2.9
1727336233,517.98828125,0.7
1727336233,517.98828125,0.0
1727336233,517.98828125,0.9
1727336233,517.98828125,0.0
1727337208,479.3125,0.7
1727337208,479.3125,0.0
1727337208,479.3125,0.4
1727337208,479.3125,0.0
1727338155,480.96484375,0.7
1727338155,480.96484375,0.0
1727338155,480.96484375,0.8
1727338155,480.96484375,0.0
1727339114,525.12890625,0.7
1727339114,525.12890625,0.0
1727339114,525.12890625,0.4
1727339114,525.12890625,0.0
1727340033,482.25,0.7
1727340033,482.25,0.0
1727340033,482.25,0.4
1727340033,482.25,0.0
1727341321,502.1171875,15.2
1727341321,502.1171875,53.2
1727341321,502.1171875,49.6
1727341321,502.1171875,52.5
1727342780,513.29296875,50.3
1727342780,513.29296875,46.2
1727342780,513.29296875,50.7
1727342780,513.29296875,38.7
1727344307,556.58203125,50.3
1727344307,556.58203125,56.5
1727344307,556.58203125,49.7
1727344307,556.58203125,57.8
1727346043,526.93359375,50.3
1727346043,526.93359375,49.1
1727346043,526.93359375,50.3
1727346043,526.93359375,40.6
1727347682,558.6015625,50.3
1727347682,558.6015625,52.1
1727347749,558.6796875,49.7
1727347749,558.6796875,55.6
</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>
