| n_samples | n_permutations | update_interval | n_consecutive_dev… | result |
|---|---|---|---|---|
| 314 | 11 | 50 | 4 | 0.249480 |
| 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 | 497 | 3 | 500 |
trial_index,arm_name,trial_status,generation_method,result,n_samples,n_permutations,update_interval,n_consecutive_deviations 0,0_0,COMPLETED,Sobol,0.265782682103232081871624359337,998,19,92,3 1,1_0,COMPLETED,Sobol,0.261207187650747685303542766633,920,31,60,1 2,2_0,COMPLETED,Sobol,0.266424264351181827592540685146,901,17,111,2 3,3_0,COMPLETED,Sobol,0.285676555716353086644687664375,471,11,166,2 4,4_0,COMPLETED,Sobol,0.280047033285094060239828195336,456,27,158,3 5,5_0,COMPLETED,Sobol,0.292668837433671003012136679899,182,36,225,2 6,6_0,COMPLETED,Sobol,0.295984081041968161152055927232,427,22,236,3 7,7_0,COMPLETED,Sobol,0.268381572600096429681570953107,476,39,93,5 8,8_0,COMPLETED,Sobol,0.284101543656536392745692864992,229,13,183,4 9,9_0,COMPLETED,Sobol,0.266823444283646904473528138624,298,24,148,4 10,10_0,COMPLETED,Sobol,0.270007235890014518631119244674,752,35,127,5 11,11_0,COMPLETED,Sobol,0.287061022672455368187627300358,555,18,224,1 12,12_0,COMPLETED,Sobol,0.297696575012059816423004576791,478,30,238,3 13,13_0,COMPLETED,Sobol,0.289335504100337703725642768404,684,29,250,1 14,14_0,COMPLETED,Sobol,0.272499999999999964472863211995,241,13,124,4 15,15_0,COMPLETED,Sobol,0.285660877954655112453963283770,726,37,236,3 16,16_0,COMPLETED,Sobol,0.262942595272551815632766647468,846,48,55,5 17,17_0,COMPLETED,Sobol,0.272390255668113812070885160210,580,50,165,5 18,18_0,COMPLETED,Sobol,0.270660877954655099131286988268,287,29,152,2 19,19_0,COMPLETED,Sobol,0.270463096960926185907680974196,542,31,74,1 20,20_0,COMPLETED,BoTorch,0.263540762180414889215285256796,952,40,66,3 21,21_0,COMPLETED,BoTorch,0.277383019778099426666528870555,138,36,127,4 22,22_0,COMPLETED,BoTorch,0.261406174626145682005073922483,846,29,50,3 23,23_0,COMPLETED,BoTorch,0.265563193439459666045365793252,1000,36,89,1 24,24_0,COMPLETED,BoTorch,0.259251085383502166692437640449,989,18,54,1 25,25_0,COMPLETED,BoTorch,0.258573323685480027656069523800,874,50,50,2 26,26_0,COMPLETED,BoTorch,0.266852387843704796921429078793,1000,50,90,3 27,27_0,COMPLETED,BoTorch,0.261532802701398892075701496651,1000,34,50,5 28,28_0,COMPLETED,BoTorch,0.265808007718282723885749874171,909,50,91,1 29,29_0,COMPLETED,BoTorch,0.257847322720694660524998198525,770,29,50,5 30,30_0,COMPLETED,BoTorch,0.259060540279787754336382477049,798,14,50,1 31,31_0,COMPLETED,BoTorch,0.258305595754944494757410211605,1000,50,50,1 32,32_0,COMPLETED,BoTorch,0.267635069946936754448074680113,1000,50,92,5 33,33_0,COMPLETED,BoTorch,0.258765074770863523490049828979,634,50,50,4 34,34_0,COMPLETED,BoTorch,0.260687409551374815741553447879,825,33,72,3 35,35_0,COMPLETED,BoTorch,0.258616739025566810816769702797,793,36,50,2 36,36_0,COMPLETED,BoTorch,0.263815726000964811959192957147,1000,26,82,1 37,37_0,COMPLETED,BoTorch,0.260993728895320797889212371956,898,25,50,4 38,38_0,COMPLETED,BoTorch,0.259588760250844208243847788253,1000,32,50,3 39,39_0,COMPLETED,BoTorch,0.261596719729860094361129085883,859,42,79,2 40,40_0,COMPLETED,BoTorch,0.263081283164495860482645639422,825,38,76,5 41,41_0,COMPLETED,BoTorch,0.261837916063675790745435278950,833,30,79,2 42,42_0,COMPLETED,BoTorch,0.262275687409551427897724806826,696,50,73,3 43,43_0,COMPLETED,BoTorch,0.260280993728895349015317606245,743,40,50,3 44,44_0,COMPLETED,BoTorch,0.259062952243125921292232760607,875,10,50,3 45,45_0,COMPLETED,BoTorch,0.260325615050651215653942927020,658,22,50,4 46,46_0,COMPLETED,BoTorch,0.262602508441871718147808678623,624,35,50,5 47,47_0,COMPLETED,BoTorch,0.258169319826338616863381503208,748,10,50,4 48,48_0,COMPLETED,BoTorch,0.263657742402315431462511696736,934,10,50,5 49,49_0,COMPLETED,BoTorch,0.257714664737096033064744915464,724,50,50,1 50,50_0,COMPLETED,BoTorch,0.260355764592378191579769008968,686,40,50,5 51,51_0,COMPLETED,BoTorch,0.261555716353111478156279190443,659,10,50,5 52,52_0,COMPLETED,BoTorch,0.261907863000482410420488577074,705,10,69,5 53,53_0,COMPLETED,BoTorch,0.257788229618909792151271176408,691,35,50,4 54,54_0,COMPLETED,BoTorch,0.258240472744814320016359943111,1000,10,50,1 55,55_0,COMPLETED,BoTorch,0.260890014471780062876860029064,663,24,58,5 56,56_0,COMPLETED,BoTorch,0.258308007718282661713260495162,795,50,50,1 57,57_0,COMPLETED,BoTorch,0.259117221418234455754259215610,725,10,50,5 58,58_0,COMPLETED,BoTorch,0.264315002411963373418757328182,681,41,66,5 59,59_0,COMPLETED,BoTorch,0.260635552339604448235377276433,776,10,66,5 60,60_0,COMPLETED,BoTorch,0.259191992281717298318710618332,648,25,50,5 61,61_0,COMPLETED,BoTorch,0.257626628075253272243116953177,574,10,50,5 62,62_0,COMPLETED,BoTorch,0.259539315002412007693521900364,686,29,50,2 63,63_0,COMPLETED,BoTorch,0.261538832609744309465327205544,1000,10,50,5 64,64_0,COMPLETED,BoTorch,0.259406657018813269210966154787,724,50,50,3 65,65_0,COMPLETED,BoTorch,0.258400868306801756446589024563,735,23,50,3 66,66_0,COMPLETED,BoTorch,0.260541485769416270024123605253,803,10,50,5 67,67_0,COMPLETED,BoTorch,0.259388567293777128064391490625,908,10,50,1 68,68_0,COMPLETED,BoTorch,0.258247708634828709861608331266,1000,35,50,1 69,69_0,COMPLETED,BoTorch,0.259407863000482352688891296566,896,50,50,1 70,70_0,COMPLETED,BoTorch,0.260394356005788751851071083365,631,50,50,2 71,71_0,COMPLETED,BoTorch,0.258136758321273473981705137703,747,22,50,4 72,72_0,COMPLETED,BoTorch,0.260258080077182873957042374968,821,10,68,1 73,73_0,COMPLETED,BoTorch,0.257262421611191505199656148761,806,50,50,1 74,74_0,COMPLETED,BoTorch,0.261034732272069414094062267395,623,50,50,1 75,75_0,COMPLETED,BoTorch,0.259228171731789691634162409173,761,10,59,2 76,76_0,COMPLETED,BoTorch,0.259612879884225766780048161309,674,50,50,1 77,77_0,COMPLETED,BoTorch,0.282115291847563898208761656861,1000,50,172,5 78,78_0,COMPLETED,BoTorch,0.280051857211770394151528762450,1000,10,172,1 79,79_0,COMPLETED,BoTorch,0.279769657501205970540070211428,1000,50,169,1 80,80_0,COMPLETED,BoTorch,0.257832850940665658789896497183,428,10,50,5 81,81_0,COMPLETED,BoTorch,0.257045344910757367351550328749,354,50,50,5 82,82_0,COMPLETED,BoTorch,0.264175108538350245090953194449,100,50,50,1 83,83_0,COMPLETED,BoTorch,0.250520984081041953039914460533,317,10,50,5 84,84_0,COMPLETED,BoTorch,0.257739990352146675078870430298,495,10,50,4 85,85_0,COMPLETED,BoTorch,0.266087795465508869519055679120,539,10,50,2 86,86_0,COMPLETED,BoTorch,0.259130487216594262989133312658,293,13,50,5 87,87_0,COMPLETED,BoTorch,0.278209117221418278376177113387,1000,20,155,1 88,88_0,COMPLETED,BoTorch,0.265126628075253223393303869670,100,10,50,5 89,89_0,COMPLETED,BoTorch,0.264116015436565376717226172332,100,10,50,1 90,90_0,COMPLETED,BoTorch,0.253491316931982679783175171906,328,16,50,5 91,91_0,COMPLETED,BoTorch,0.257665219488663721492116565059,427,26,50,5 92,92_0,COMPLETED,BoTorch,0.265852629040038590524375194946,185,16,50,4 93,93_0,COMPLETED,BoTorch,0.275990110950313560778113242122,1000,10,144,1 94,94_0,COMPLETED,BoTorch,0.259585142305836957810072362918,485,10,50,5 95,95_0,COMPLETED,BoTorch,0.261378437047756873035098124092,411,10,50,3 96,96_0,COMPLETED,BoTorch,0.260707911239749123843978395598,250,50,50,5 97,97_0,COMPLETED,BoTorch,0.258427399903521481938639681175,422,50,50,5 98,98_0,COMPLETED,BoTorch,0.259670767004341551675850041647,404,41,50,4 99,99_0,COMPLETED,BoTorch,0.257480704293294726525687110552,344,30,50,4 100,100_0,COMPLETED,BoTorch,0.260768210323203075695630559494,557,46,50,3 101,101_0,COMPLETED,BoTorch,0.253446695610226702122247388616,311,50,50,3 102,102_0,COMPLETED,BoTorch,0.258551616015436525053416971787,293,29,50,2 103,103_0,COMPLETED,BoTorch,0.262226242161119116325096456421,244,10,50,5 104,104_0,COMPLETED,BoTorch,0.256344669561022642234604518308,296,10,50,3 105,105_0,COMPLETED,BoTorch,0.256318137964302916742553861695,340,10,50,5 106,106_0,COMPLETED,BoTorch,0.256759527255185693306316352391,360,10,50,5 107,107_0,COMPLETED,BoTorch,0.258595031355523419236419613298,350,50,50,2 108,108_0,COMPLETED,BoTorch,0.262726724553786761262585969234,631,20,69,1 109,109_0,COMPLETED,BoTorch,0.260650024119633338948176515260,405,49,50,4 110,110_0,COMPLETED,BoTorch,0.257319102749638206617532887321,345,10,50,3 111,111_0,COMPLETED,BoTorch,0.258380366618427448344164076843,330,10,50,1 112,112_0,COMPLETED,BoTorch,0.256312108055957499352928152803,348,10,50,5 113,113_0,COMPLETED,BoTorch,0.252405933429811879520343609329,324,10,50,4 114,114_0,COMPLETED,BoTorch,0.259128075253256096033283029101,330,50,79,1 115,115_0,COMPLETED,BoTorch,0.257426435118186192063660655549,370,22,51,4 116,116_0,COMPLETED,BoTorch,0.257449348769898667121935886826,325,50,93,5 117,117_0,COMPLETED,BoTorch,0.274318620356970521712014488003,264,14,163,3 118,118_0,COMPLETED,BoTorch,0.256437530149541736967933047708,347,10,50,5 119,119_0,COMPLETED,BoTorch,0.259758803666184312497478003934,378,16,54,2 120,120_0,COMPLETED,BoTorch,0.256951278340569189140296657570,295,50,50,1 121,121_0,COMPLETED,BoTorch,0.259126869271587123577660349838,272,50,72,1 122,122_0,COMPLETED,BoTorch,0.256379643029425952072131167370,324,50,50,1 123,123_0,COMPLETED,BoTorch,0.253918234442836454611835961259,313,50,82,2 124,124_0,COMPLETED,BoTorch,0.253496140858658902672573276504,317,32,78,4 125,125_0,COMPLETED,BoTorch,0.252144235407621764011310006026,318,50,69,3 126,126_0,COMPLETED,BoTorch,0.260125422093584135474486629391,280,50,70,2 127,127_0,COMPLETED,BoTorch,0.252519295706705282356097086449,318,50,74,4 128,128_0,COMPLETED,BoTorch,0.249527255185721164032486285578,314,50,50,4 129,129_0,COMPLETED,BoTorch,0.272440906898215096099136189878,267,12,162,3 130,130_0,COMPLETED,BoTorch,0.254458514230583743298552690248,332,23,50,5 131,131_0,COMPLETED,BoTorch,0.256128798842257587864423840074,334,10,65,5 132,132_0,COMPLETED,BoTorch,0.250712735166425448873894765711,319,26,50,4 133,133_0,COMPLETED,BoTorch,0.253986975397973990808964117605,327,50,50,5 134,134_0,COMPLETED,BoTorch,0.250838157260009686488899660617,319,50,50,5 135,135_0,COMPLETED,BoTorch,0.253970091654606822118012132705,330,10,50,5 136,136_0,COMPLETED,BoTorch,0.251328991799324663602988039202,317,26,64,4 137,137_0,COMPLETED,BoTorch,0.255436565364206447092954022082,327,10,68,5 138,138_0,COMPLETED,BoTorch,0.266707670043415334681924377946,298,50,146,5 139,139_0,COMPLETED,BoTorch,0.253146406174626137364214173431,324,29,50,5 140,140_0,COMPLETED,BoTorch,0.253684273999035259095080618863,309,43,62,4 141,141_0,COMPLETED,BoTorch,0.255799565846599130658489684720,324,10,74,4 142,142_0,COMPLETED,BoTorch,0.253241678726483399053392986389,310,39,63,4 143,143_0,COMPLETED,BoTorch,0.255352146647370936705101485131,308,50,68,3 144,144_0,COMPLETED,BoTorch,0.257079112397491593711151836033,332,10,80,5 145,145_0,COMPLETED,BoTorch,0.252059816690786253623457469075,316,36,70,3 146,146_0,COMPLETED,BoTorch,0.256243367100820074178102458973,325,29,73,4 147,147_0,COMPLETED,BoTorch,0.252660395561987494161826361960,310,50,67,4 148,148_0,COMPLETED,BoTorch,0.253437047756874145321148716903,310,50,59,4 149,149_0,COMPLETED,BoTorch,0.253037867824409068440161263425,309,50,50,5 150,150_0,COMPLETED,BoTorch,0.252225036179450023965387117642,317,50,60,4 151,151_0,COMPLETED,BoTorch,0.249517607332368496209085151349,314,39,50,4 152,152_0,COMPLETED,BoTorch,0.252384225759768487939993519831,319,39,60,4 153,153_0,COMPLETED,BoTorch,0.252305836951278394941766691773,310,50,50,4 154,154_0,COMPLETED,BoTorch,0.250891220453449137473000973841,316,50,50,4 155,155_0,COMPLETED,BoTorch,0.264006271104679224315248120547,229,50,50,1 156,156_0,COMPLETED,BoTorch,0.267205740472744812663563607202,180,10,51,5 157,157_0,COMPLETED,BoTorch,0.288440665701881315818866369227,850,10,250,1 158,158_0,COMPLETED,BoTorch,0.292128557645923825347722413426,984,27,247,1 159,159_0,COMPLETED,BoTorch,0.276269898697539817433721509587,471,32,124,5 160,160_0,COMPLETED,BoTorch,0.251242161119150986259285218694,313,44,53,4 161,161_0,COMPLETED,BoTorch,0.249702122527737602197817068372,313,42,52,5 162,162_0,COMPLETED,BoTorch,0.252319102749638202176640788821,311,50,59,5 163,163_0,COMPLETED,BoTorch,0.251121562952243082555980890902,311,50,50,5 164,164_0,COMPLETED,BoTorch,0.250294259527255147368407506292,315,41,50,4 165,165_0,COMPLETED,BoTorch,0.252425229136517104144843415270,319,37,64,4 166,166_0,COMPLETED,BoTorch,0.249943318861553298582123261440,315,39,50,5 167,167_0,COMPLETED,BoTorch,0.249517607332368496209085151349,314,38,50,4 168,168_0,COMPLETED,BoTorch,0.249769657501205943894717620424,313,38,50,5 169,169_0,COMPLETED,BoTorch,0.262756874095513737188412051182,529,50,50,5 170,170_0,COMPLETED,BoTorch,0.266146888567293737892782701238,480,50,82,5 171,171_0,COMPLETED,BoTorch,0.250905692233478028185800212668,316,41,50,4 172,172_0,COMPLETED,BoTorch,0.259486251808972556709420587140,485,46,50,4 173,173_0,COMPLETED,BoTorch,0.250933429811866837155776011059,316,46,50,4 174,174_0,COMPLETED,BoTorch,0.249488663772310714783486673696,314,42,50,4 175,175_0,COMPLETED,BoTorch,0.250262904003859087964656282566,314,35,50,5 176,176_0,COMPLETED,BoTorch,0.249516401350699523753462472087,314,44,50,4 177,177_0,COMPLETED,BoTorch,0.267369753979739499527568113990,463,42,83,4 178,178_0,COMPLETED,BoTorch,0.267138205499276359944360592635,540,39,55,3 179,179_0,COMPLETED,BoTorch,0.251017848528702347543628548010,312,42,50,4 180,180_0,COMPLETED,BoTorch,0.250681379643029389470143541985,319,50,50,4 181,181_0,COMPLETED,BoTorch,0.261702846116738996329331712332,516,42,69,5 182,182_0,COMPLETED,BoTorch,0.265198986975398010024207451352,478,41,72,4 183,183_0,COMPLETED,BoTorch,0.268347805113362314344271908340,100,42,70,3 184,184_0,COMPLETED,BoTorch,0.249769657501205943894717620424,313,41,50,5 185,185_0,COMPLETED,BoTorch,0.259188374336710047884935192997,516,45,50,3 186,186_0,COMPLETED,BoTorch,0.252383019778099404462068378052,310,44,50,5 187,187_0,COMPLETED,BoTorch,0.250313555233960483015209774749,313,40,50,4 188,188_0,COMPLETED,BoTorch,0.261535214664737059031551780208,520,20,50,5 189,189_0,COMPLETED,BoTorch,0.262756874095513737188412051182,454,50,50,1 190,190_0,COMPLETED,BoTorch,0.251069705740472715049804719456,311,44,50,5 191,191_0,COMPLETED,BoTorch,0.257650747708634830779317326233,377,50,50,3 192,192_0,COMPLETED,BoTorch,0.252379401833092154028292952717,310,42,50,5 193,193_0,COMPLETED,BoTorch,0.249492281717317854194959636516,314,40,50,4 194,194_0,COMPLETED,BoTorch,0.250186927158707161922279738064,312,45,50,5 195,195_0,COMPLETED,BoTorch,0.265405209840810396570986995357,371,10,122,5 196,196_0,COMPLETED,BoTorch,0.250008441871683584345475992450,315,27,50,5 197,197_0,COMPLETED,BoTorch,0.292766521948866431657165776414,100,50,250,5 198,198_0,COMPLETED,BoTorch,0.279746743849493495481794980151,100,49,150,4 199,187_0,COMPLETED,BoTorch,0.250288229618909841001084259915,313,40,50,4 200,200_0,COMPLETED,BoTorch,0.293974915581283191556849487824,147,21,250,4 201,201_0,COMPLETED,BoTorch,0.286999517607332332858049994684,100,50,210,5 202,202_0,COMPLETED,BoTorch,0.284300530631934389447224020842,354,10,193,5 203,203_0,RUNNING,BoTorch,,338,10,250,5 204,204_0,COMPLETED,BoTorch,0.288962855764592352336705971538,337,13,239,5 205,205_0,COMPLETED,BoTorch,0.291671490593342963570933079609,376,10,229,5 206,206_0,COMPLETED,BoTorch,0.288183791606367534221533333039,337,14,235,5 207,207_0,COMPLETED,BoTorch,0.292369753979739521732028606493,126,40,250,5 208,208_0,COMPLETED,BoTorch,0.263393632416787260019930272392,392,31,97,5 209,209_0,COMPLETED,BoTorch,0.250236372407139362472605625953,314,49,50,5 210,163_0,COMPLETED,BoTorch,0.251085383502170800262831562577,311,50,50,5 211,211_0,COMPLETED,BoTorch,0.289334298118668620247717626626,342,50,242,1 212,212_0,COMPLETED,BoTorch,0.251031114327062265800805107574,312,31,50,4 213,213_0,COMPLETED,BoTorch,0.290356970574047301703046741750,349,29,227,3 214,214_0,COMPLETED,BoTorch,0.258794018330921415937950769148,351,40,50,1 215,215_0,COMPLETED,BoTorch,0.253025808007718233660909845639,309,37,50,5 216,216_0,COMPLETED,BoTorch,0.265658465991316927734544606210,372,50,120,5 217,217_0,COMPLETED,BoTorch,0.285548721659430793096134948428,318,48,250,3 218,218_0,COMPLETED,BoTorch,0.254333092136999505683547795343,306,30,51,5 219,219_0,COMPLETED,BoTorch,0.256133622768933921776124407188,334,27,64,4 220,220_0,COMPLETED,BoTorch,0.249942112879884215104198119661,315,38,50,5 221,221_0,COMPLETED,BoTorch,0.250273757838880839265982558572,314,39,50,5 222,187_0,COMPLETED,BoTorch,0.250295465508924230846332648071,313,40,50,4 223,223_0,COMPLETED,BoTorch,0.258321273516642579970437054726,296,50,50,5 224,224_0,RUNNING,BoTorch,,584,50,50,1 225,225_0,COMPLETED,BoTorch,0.250305113362276898669733782299,313,39,50,4 226,226_0,COMPLETED,BoTorch,0.251086589483839883740756704356,311,40,50,5 227,227_0,COMPLETED,BoTorch,0.262819585142305855995914498635,599,37,76,3 228,187_0,COMPLETED,BoTorch,0.250311143270622316059359491192,313,40,50,4 229,187_0,COMPLETED,BoTorch,0.250305113362276898669733782299,313,40,50,4 230,230_0,COMPLETED,BoTorch,0.250239990352146612906381051289,314,43,50,5 231,231_0,COMPLETED,BoTorch,0.266050410033767503747981209017,221,10,58,2 232,232_0,COMPLETED,BoTorch,0.251767969126869273210900246340,321,20,51,5 233,233_0,COMPLETED,BoTorch,0.264973468403280287830625638890,542,32,54,5 234,234_0,COMPLETED,BoTorch,0.259570670525807956074970661575,566,40,57,4 235,235_0,COMPLETED,BoTorch,0.261168596237337236054543154751,564,37,58,5 236,236_0,COMPLETED,BoTorch,0.250928605885190503244075443945,316,42,50,4 237,237_0,COMPLETED,BoTorch,0.250295465508924230846332648071,315,42,50,4 238,238_0,COMPLETED,BoTorch,0.257691751085383446984167221672,586,50,50,5 239,239_0,COMPLETED,BoTorch,0.258935118186203516721377582144,569,42,56,3 240,240_0,COMPLETED,BoTorch,0.260928605885190512125859640946,563,50,56,2 241,241_0,COMPLETED,BoTorch,0.262654365653642085653984850069,560,30,59,5 242,242_0,COMPLETED,BoTorch,0.261478533526290357613675041648,564,44,57,2 243,243_0,COMPLETED,BoTorch,0.258340569223347804594936860667,573,50,58,2 244,244_0,COMPLETED,BoTorch,0.257729136517124923777544154291,582,26,59,1 245,245_0,COMPLETED,BoTorch,0.263720453449107550270014144189,594,19,94,4 246,246_0,COMPLETED,BoTorch,0.257526531596719676642237573105,591,20,52,3 247,247_0,COMPLETED,BoTorch,0.260741678726483350203579902882,565,50,57,1 248,233_0,COMPLETED,BoTorch,0.264963820549927620007224504661,542,32,54,5 249,249_0,COMPLETED,BoTorch,0.259190786300048214840785476554,570,50,55,1 250,250_0,COMPLETED,BoTorch,0.261635311143270654632431160280,598,31,72,3 251,251_0,COMPLETED,BoTorch,0.250582489146164988369491766207,316,35,50,5 252,252_0,COMPLETED,BoTorch,0.262308248914616459757098709815,561,44,58,2 253,253_0,COMPLETED,BoTorch,0.257052580800771868219101179420,588,33,51,4 254,254_0,COMPLETED,BoTorch,0.261098649300530616379489856627,568,15,64,5 255,255_0,COMPLETED,BoTorch,0.257469850458273086246663297061,574,18,53,4 256,241_0,COMPLETED,BoTorch,0.262664013506994642455083521781,560,30,59,5 257,257_0,COMPLETED,BoTorch,0.262702604920405202726385596179,562,28,60,5 258,258_0,COMPLETED,BoTorch,0.253791606367583244541208387091,328,13,61,5 259,259_0,COMPLETED,BoTorch,0.275975639170284559043011540780,631,50,160,5 260,260_0,COMPLETED,BoTorch,0.250582489146164988369491766207,316,34,50,5 261,260_0,COMPLETED,BoTorch,0.250583695127834071847416907985,316,34,50,5 262,262_0,COMPLETED,BoTorch,0.253814520019295719599483618367,304,43,53,3 263,260_0,COMPLETED,BoTorch,0.250590931017848572714967758657,316,34,50,5 264,264_0,COMPLETED,BoTorch,0.283399662325132695173124375287,637,50,215,5 265,265_0,COMPLETED,BoTorch,0.269545344910757322942629343743,605,40,135,5 266,266_0,COMPLETED,BoTorch,0.264911963338157252501048333215,615,39,81,5 267,267_0,COMPLETED,BoTorch,0.253250120598166872376566516323,308,29,51,4 268,268_0,COMPLETED,BoTorch,0.263028219971056409498544326198,577,27,96,5 269,260_0,COMPLETED,BoTorch,0.250528219971056453907465311204,316,34,50,5 270,270_0,COMPLETED,BoTorch,0.270900868306801712037668039557,613,35,149,5 271,271_0,COMPLETED,BoTorch,0.261767969126869282092684443342,629,14,57,1 272,272_0,COMPLETED,BoTorch,0.268491316931982582083549004892,575,39,127,5 273,273_0,COMPLETED,BoTorch,0.275009647853352579005559164216,633,50,167,3 274,274_0,COMPLETED,BoTorch,0.250262904003859087964656282566,315,10,50,4 275,275_0,COMPLETED,BoTorch,0.250584901109503155325342049764,316,36,50,5 276,276_0,COMPLETED,BoTorch,0.250002411963338166955850283557,314,10,50,3 277,277_0,COMPLETED,BoTorch,0.268533526290400392788626504625,575,40,131,5 278,278_0,COMPLETED,BoTorch,0.252370959961408569682816960267,310,26,50,4 279,279_0,COMPLETED,BoTorch,0.260534249879401880178875217098,144,50,50,1 280,280_0,COMPLETED,BoTorch,0.250575253256150487501940915536,317,50,50,5 281,281_0,COMPLETED,BoTorch,0.252093584177520479983058976359,321,45,50,4 282,282_0,COMPLETED,BoTorch,0.278086107091172207717022502038,138,31,144,5 283,282_0,COMPLETED,BoTorch,0.278082489146164957283247076703,138,31,144,5 284,284_0,COMPLETED,BoTorch,0.263193439459720179840473974764,188,50,50,2 285,285_0,RUNNING,BoTorch,,323,23,55,1 286,286_0,COMPLETED,BoTorch,0.272831644958996588634647650906,138,45,100,2 287,274_0,COMPLETED,BoTorch,0.250262904003859087964656282566,315,10,50,4 288,288_0,COMPLETED,BoTorch,0.261091413410516115511939005955,141,10,50,1 289,289_0,COMPLETED,BoTorch,0.278154848046309743914150658384,137,25,131,4 290,290_0,COMPLETED,BoTorch,0.267319102749638215499317084323,145,50,88,5 291,291_0,COMPLETED,BoTorch,0.250892426435118220950926115620,316,34,50,4 292,292_0,COMPLETED,BoTorch,0.261963338157260028360440173856,151,44,50,3 293,293_0,COMPLETED,BoTorch,0.277639893873613097241559444228,136,50,125,3 294,294_0,COMPLETED,BoTorch,0.270418475639170319269055653422,127,46,94,1 295,295_0,COMPLETED,BoTorch,0.250256874095513781597333036189,315,31,50,4 296,296_0,COMPLETED,BoTorch,0.261739025566811389644783503172,115,28,50,1 297,297_0,COMPLETED,BoTorch,0.257842498794018326613297631411,293,50,52,3 298,298_0,COMPLETED,BoTorch,0.250888808490110970517150690284,316,33,50,4 299,299_0,COMPLETED,BoTorch,0.249956584659913216839299821004,315,10,50,5 300,300_0,COMPLETED,BoTorch,0.273716835504100308718022915855,798,50,149,1 301,301_0,COMPLETED,BoTorch,0.284202846116739071824497386842,754,12,245,2 302,302_0,COMPLETED,BoTorch,0.280518572117703812729416767979,770,24,220,1 303,274_0,COMPLETED,BoTorch,0.250262904003859087964656282566,315,10,50,4 304,304_0,COMPLETED,BoTorch,0.250630728412928105441892512317,316,10,50,5 305,298_0,COMPLETED,BoTorch,0.250894838398456387906776399177,316,33,50,4 306,306_0,COMPLETED,BoTorch,0.250897250361794554862626682734,316,32,50,4 307,302_0,COMPLETED,BoTorch,0.280478774722624168980189551803,770,24,220,1 308,308_0,COMPLETED,BoTorch,0.281929570670525819764407060575,771,26,219,1 309,309_0,COMPLETED,BoTorch,0.276520742884708181641428836883,784,34,174,1 310,310_0,COMPLETED,BoTorch,0.259397009165460712409867483075,292,40,52,4 311,311_0,COMPLETED,BoTorch,0.261649782923299545345230399107,829,26,63,3 312,312_0,COMPLETED,BoTorch,0.281982633863965270748508373799,777,11,223,4 313,313_0,COMPLETED,BoTorch,0.268725277375783888622606809804,790,10,124,5 314,314_0,COMPLETED,BoTorch,0.282877472262421658655284772976,759,22,250,2 315,315_0,COMPLETED,BoTorch,0.250561987457790680267066818487,316,50,50,5 316,316_0,COMPLETED,BoTorch,0.250533043897732787819165878318,316,43,50,5 317,317_0,COMPLETED,BoTorch,0.253727689339122042255780797859,328,43,56,5 318,318_0,COMPLETED,BoTorch,0.279750361794500745915570405487,777,10,207,1 319,319_0,COMPLETED,BoTorch,0.277003135552339574410041223018,788,39,192,1 320,320_0,COMPLETED,BoTorch,0.250010853835021751301326276007,315,31,50,5 321,321_0,COMPLETED,BoTorch,0.250534249879401871297091020097,316,40,50,5 322,315_0,COMPLETED,BoTorch,0.250533043897732787819165878318,316,50,50,5 323,323_0,COMPLETED,BoTorch,0.250262904003859087964656282566,315,11,50,4 324,274_0,COMPLETED,BoTorch,0.250279787747226256655608267465,315,10,50,4 325,325_0,COMPLETED,BoTorch,0.256158948383984563790249922022,332,50,52,3 326,326_0,COMPLETED,BoTorch,0.254342739990352173506948929571,317,50,90,3 327,327_0,COMPLETED,BoTorch,0.249979498311625691897575052280,315,32,50,5 328,274_0,COMPLETED,BoTorch,0.250267727930535421876356849680,315,10,50,4 329,320_0,COMPLETED,BoTorch,0.249979498311625691897575052280,315,31,50,5 330,330_0,COMPLETED,BoTorch,0.255226724553786810112399052741,313,22,65,1 331,320_0,COMPLETED,BoTorch,0.250004823926676333911700567114,315,31,50,5 332,276_0,COMPLETED,BoTorch,0.250015677761697974190724380605,314,10,50,3 333,333_0,COMPLETED,BoTorch,0.250366618427399933999311087973,319,10,51,4 334,334_0,COMPLETED,BoTorch,0.257618186203569687897640960728,336,31,50,2 335,335_0,COMPLETED,BoTorch,0.250606608779546546905692139262,316,31,50,5 336,336_0,COMPLETED,BoTorch,0.256981427882296165066122739518,333,28,51,3 337,337_0,COMPLETED,BoTorch,0.253034249879401818006385838089,316,50,85,4 338,338_0,COMPLETED,BoTorch,0.255965991316931984478344475065,332,24,50,3 339,339_0,COMPLETED,BoTorch,0.252554269175108592193623735511,314,10,54,2 340,340_0,COMPLETED,BoTorch,0.253496140858658902672573276504,314,10,58,1 341,341_0,COMPLETED,BoTorch,0.253901350699469396943186438875,312,25,54,2 342,342_0,COMPLETED,BoTorch,0.250244814278822946818081618403,315,29,50,4 343,343_0,COMPLETED,BoTorch,0.255554751567776183840408066317,310,43,79,1 344,344_0,COMPLETED,BoTorch,0.256702846116738991888439613831,310,45,82,1 345,274_0,COMPLETED,BoTorch,0.250262904003859087964656282566,315,10,50,4 346,346_0,COMPLETED,BoTorch,0.255558369512783434274183491652,331,13,53,4 347,347_0,COMPLETED,BoTorch,0.250270139893873588832207133237,315,27,50,4 348,348_0,COMPLETED,BoTorch,0.256517124939700913444085017545,311,42,84,1 349,349_0,COMPLETED,BoTorch,0.250270139893873588832207133237,315,26,50,4 350,340_0,COMPLETED,BoTorch,0.253496140858658902672573276504,314,10,58,1 351,351_0,COMPLETED,BoTorch,0.250804389773275460129298153333,313,18,51,3 352,274_0,COMPLETED,BoTorch,0.250279787747226256655608267465,315,10,50,4 353,274_0,COMPLETED,BoTorch,0.250262904003859087964656282566,315,10,50,4 354,354_0,COMPLETED,BoTorch,0.251304872165943105066787666146,313,20,52,3 355,196_0,COMPLETED,BoTorch,0.250003617945007250433775425336,315,27,50,5 356,349_0,COMPLETED,BoTorch,0.250266521948866338398431707901,315,26,50,4 357,349_0,COMPLETED,BoTorch,0.250270139893873588832207133237,315,26,50,4 358,274_0,COMPLETED,BoTorch,0.250262904003859087964656282566,315,10,50,4 359,274_0,COMPLETED,BoTorch,0.250262904003859087964656282566,315,10,50,4 360,274_0,COMPLETED,BoTorch,0.250262904003859087964656282566,315,10,50,4 361,260_0,COMPLETED,BoTorch,0.250536661842740038252941303654,316,34,50,5 362,274_0,COMPLETED,BoTorch,0.250279787747226256655608267465,315,10,50,4 363,363_0,COMPLETED,BoTorch,0.253233236854799814707916993939,308,10,50,5 364,364_0,COMPLETED,BoTorch,0.253492522913651763261100313684,314,11,58,1 365,365_0,COMPLETED,BoTorch,0.256177038109020704936824586184,321,10,96,5 366,274_0,COMPLETED,BoTorch,0.250259286058851948553183319746,315,10,50,4 367,196_0,COMPLETED,BoTorch,0.250009647853352667823401134228,315,27,50,5 368,368_0,COMPLETED,BoTorch,0.249998794018330916522074858221,315,26,50,5 369,369_0,COMPLETED,BoTorch,0.256690786300048268131490658561,326,22,71,4 370,274_0,COMPLETED,BoTorch,0.250262904003859087964656282566,315,10,50,4 371,196_0,COMPLETED,BoTorch,0.250003617945007250433775425336,315,27,50,5 372,372_0,COMPLETED,BoTorch,0.250612638687891964295317848155,316,22,50,5 373,196_0,COMPLETED,BoTorch,0.249991558128316415654524007550,315,27,50,5 374,274_0,COMPLETED,BoTorch,0.250262904003859087964656282566,315,10,50,4 375,340_0,COMPLETED,BoTorch,0.253497346840327986150498418283,314,10,58,1 376,274_0,COMPLETED,BoTorch,0.250262904003859087964656282566,315,10,50,4 377,340_0,COMPLETED,BoTorch,0.253502170767004320062198985397,314,10,58,1 378,378_0,COMPLETED,BoTorch,0.252364930053063152293191251374,321,31,52,4 379,196_0,COMPLETED,BoTorch,0.250004823926676333911700567114,315,27,50,5 380,380_0,COMPLETED,BoTorch,0.250916546068499779487126488675,316,10,50,4 381,381_0,COMPLETED,BoTorch,0.252147853352629014445085431362,316,12,54,1 382,382_0,COMPLETED,BoTorch,0.252683309213699969220101593237,315,10,57,1 383,383_0,COMPLETED,BoTorch,0.252550651230101341759848310176,316,12,60,1 384,380_0,COMPLETED,BoTorch,0.250910516160154362097500779782,316,10,50,4 385,385_0,COMPLETED,BoTorch,0.253863965267727920149809506256,321,10,69,3 386,386_0,COMPLETED,BoTorch,0.253628798842257641155129022081,310,10,54,3 387,387_0,COMPLETED,BoTorch,0.256858417752050205429270590685,710,10,50,1 388,388_0,COMPLETED,BoTorch,0.260018089725036150028358861164,689,20,56,2 389,389_0,COMPLETED,BoTorch,0.262608538350217024515131925000,686,21,61,2 390,390_0,COMPLETED,BoTorch,0.258078871201157689085903257364,730,50,52,3 391,391_0,COMPLETED,BoTorch,0.263605885190545063956335525290,693,10,87,1 392,392_0,COMPLETED,BoTorch,0.257707428847081532197194064793,709,45,51,3 393,393_0,COMPLETED,BoTorch,0.260590931017848581596751955658,706,44,70,5 394,394_0,COMPLETED,BoTorch,0.259915581283164498493931660050,709,25,64,3 395,395_0,COMPLETED,BoTorch,0.262503617945007206024854440329,708,13,74,2 396,396_0,COMPLETED,BoTorch,0.258901350699469401384078537376,722,37,50,1 397,397_0,COMPLETED,BoTorch,0.261336227689339173352323086874,689,10,60,1 398,398_0,COMPLETED,BoTorch,0.262684515195369061579810932017,708,13,76,2 399,390_0,COMPLETED,BoTorch,0.258078871201157689085903257364,730,50,52,3 400,400_0,COMPLETED,BoTorch,0.260231548480463148464991718356,708,32,68,4 401,401_0,COMPLETED,BoTorch,0.263180173661360372605599877716,686,12,64,1 402,402_0,COMPLETED,BoTorch,0.257730342498794007255469296069,709,23,50,3 403,398_0,COMPLETED,BoTorch,0.262684515195369061579810932017,708,13,76,2 404,404_0,COMPLETED,BoTorch,0.260455861070911676158345926524,708,31,64,4 405,320_0,COMPLETED,BoTorch,0.249997588036661833044149716443,315,31,50,5 406,406_0,COMPLETED,BoTorch,0.260377472262421583160119098466,315,31,107,1 407,380_0,COMPLETED,BoTorch,0.250916546068499779487126488675,316,10,50,4 408,380_0,COMPLETED,BoTorch,0.250916546068499779487126488675,316,10,50,4 409,409_0,COMPLETED,BoTorch,0.249949348769898715971748970333,315,50,50,5 410,380_0,COMPLETED,BoTorch,0.250909310178485278619575638004,316,10,50,4 411,380_0,COMPLETED,BoTorch,0.250916546068499779487126488675,316,10,50,4 412,412_0,COMPLETED,BoTorch,0.296319343945972035747615791479,916,10,250,5 413,413_0,COMPLETED,BoTorch,0.258274240231548435353658987879,335,34,53,1 414,414_0,COMPLETED,BoTorch,0.250003617945007250433775425336,315,30,50,5 415,415_0,COMPLETED,BoTorch,0.254958996623251277213739740546,311,10,75,1 416,416_0,COMPLETED,BoTorch,0.256807766521948921401019561017,326,18,60,2 417,417_0,COMPLETED,BoTorch,0.250803183791606376651373011555,313,50,51,3 418,418_0,COMPLETED,BoTorch,0.289460926193921830318345200794,895,37,229,1 419,419_0,COMPLETED,BoTorch,0.254919199228171744486814986885,310,10,61,2 420,315_0,COMPLETED,BoTorch,0.250561987457790680267066818487,316,50,50,5 421,421_0,COMPLETED,BoTorch,0.264987940183309178543424877716,900,21,96,2 422,422_0,COMPLETED,BoTorch,0.250662083936324164845643736044,317,10,51,4 423,423_0,COMPLETED,BoTorch,0.257091172214182317468100791302,339,50,66,4 424,424_0,COMPLETED,BoTorch,0.250566811384466903156464923086,316,45,50,5 425,425_0,COMPLETED,BoTorch,0.249480221900627130438010681246,314,11,50,4 426,426_0,COMPLETED,BoTorch,0.289884225759768465735533027328,912,16,219,4 427,424_0,COMPLETED,BoTorch,0.250574047274481404024015773757,316,45,50,5 428,421_0,COMPLETED,BoTorch,0.264987940183309178543424877716,900,21,96,2 429,327_0,COMPLETED,BoTorch,0.250010853835021751301326276007,315,32,50,5 430,327_0,COMPLETED,BoTorch,0.250008441871683584345475992450,315,32,50,5 431,327_0,COMPLETED,BoTorch,0.249980704293294775375500194059,315,32,50,5 432,432_0,COMPLETED,BoTorch,0.254522431259044834561677816964,261,10,50,1 433,433_0,COMPLETED,BoTorch,0.249993970091654582610374291107,315,33,50,5 434,433_0,COMPLETED,BoTorch,0.249980704293294775375500194059,315,33,50,5 435,435_0,COMPLETED,BoTorch,0.266828268210323238385228705738,239,29,75,1 436,436_0,COMPLETED,BoTorch,0.266793294741919928547702056676,239,28,75,1 437,304_0,COMPLETED,BoTorch,0.250612638687891964295317848155,316,10,50,5 438,438_0,COMPLETED,BoTorch,0.256471297636275963327534554992,272,17,50,1 439,439_0,COMPLETED,BoTorch,0.264540520984081095612339140644,240,16,82,1 440,440_0,COMPLETED,BoTorch,0.266238543174143749148186088860,240,28,77,1 441,441_0,COMPLETED,BoTorch,0.255031355523396063844643322227,268,18,50,2 442,442_0,COMPLETED,BoTorch,0.263731307284129301571340420196,246,10,59,3 443,443_0,COMPLETED,BoTorch,0.266804148576941679849028332683,239,30,75,1 444,444_0,COMPLETED,BoTorch,0.267292571152918490007266427710,239,18,84,1 445,445_0,COMPLETED,BoTorch,0.256348287506029892668379943643,268,38,50,1 446,446_0,COMPLETED,BoTorch,0.250789917993246458394196451991,311,48,51,5 447,447_0,COMPLETED,BoTorch,0.251002170767004373352904167405,312,15,50,4 448,448_0,COMPLETED,BoTorch,0.250208634828750553502629827562,313,13,50,4 449,304_0,COMPLETED,BoTorch,0.250612638687891964295317848155,316,10,50,5 450,450_0,COMPLETED,BoTorch,0.263375542691751118873355608230,881,50,93,1 451,451_0,COMPLETED,BoTorch,0.261599131693198261316979369440,354,10,91,5 452,452_0,COMPLETED,BoTorch,0.258926676314520043398204052210,262,10,74,5 453,453_0,COMPLETED,BoTorch,0.266377231066087793998065080814,730,10,96,1 454,320_0,COMPLETED,BoTorch,0.249974674384949357985874485166,315,31,50,5 455,455_0,COMPLETED,BoTorch,0.257146647370959935408052388084,265,19,50,5 456,304_0,COMPLETED,BoTorch,0.250618668596237381684943557048,316,10,50,5 457,457_0,COMPLETED,BoTorch,0.259266763145200140883162021055,292,29,51,3 458,304_0,COMPLETED,BoTorch,0.250624698504582688052266803425,316,10,50,5 459,459_0,COMPLETED,BoTorch,0.258250120598166876817458614823,276,20,67,3 460,446_0,COMPLETED,BoTorch,0.250783888084901152026873205614,311,48,51,5 461,320_0,COMPLETED,BoTorch,0.250009647853352667823401134228,315,31,50,5 462,304_0,COMPLETED,BoTorch,0.250622286541244521096416519867,316,10,50,5 463,327_0,COMPLETED,BoTorch,0.249979498311625691897575052280,315,32,50,5 464,457_0,COMPLETED,BoTorch,0.259261939218523917993763916456,292,29,51,3 465,304_0,COMPLETED,BoTorch,0.250619874577906465162868698826,316,10,50,5 466,457_0,COMPLETED,BoTorch,0.259232995658466025545862976287,292,29,51,3 467,457_0,COMPLETED,BoTorch,0.259266763145200140883162021055,292,29,51,3 468,468_0,COMPLETED,BoTorch,0.258917028461167375574802917981,298,50,85,2 469,304_0,COMPLETED,BoTorch,0.250612638687891964295317848155,316,10,50,5 470,304_0,COMPLETED,BoTorch,0.250612638687891964295317848155,316,10,50,5 471,471_0,COMPLETED,BoTorch,0.252086348287505979115508125687,311,49,51,4 472,472_0,COMPLETED,BoTorch,0.250894838398456387906776399177,316,15,50,4 473,320_0,COMPLETED,BoTorch,0.249979498311625691897575052280,315,31,50,5 474,474_0,COMPLETED,BoTorch,0.254917993246502661008889845107,304,10,61,5 475,327_0,COMPLETED,BoTorch,0.250008441871683584345475992450,315,32,50,5 476,304_0,COMPLETED,BoTorch,0.250622286541244521096416519867,316,10,50,5 477,477_0,COMPLETED,BoTorch,0.256515918958031829966159875767,333,36,59,4 478,327_0,COMPLETED,BoTorch,0.249996382054992749566224574664,315,32,50,5 479,433_0,COMPLETED,BoTorch,0.249980704293294775375500194059,315,33,50,5 480,480_0,COMPLETED,BoTorch,0.254674384949348797668733368482,303,12,63,5 481,481_0,COMPLETED,BoTorch,0.250001205981669083477925141779,315,34,50,5 482,414_0,COMPLETED,BoTorch,0.249979498311625691897575052280,315,30,50,5 483,483_0,COMPLETED,BoTorch,0.254926435118186245354365837557,330,50,56,4 484,304_0,COMPLETED,BoTorch,0.250612638687891964295317848155,316,10,50,5 485,481_0,COMPLETED,BoTorch,0.249979498311625691897575052280,315,34,50,5 486,481_0,COMPLETED,BoTorch,0.250007235890014500867550850671,315,34,50,5 487,481_0,COMPLETED,BoTorch,0.249979498311625691897575052280,315,34,50,5 488,488_0,COMPLETED,BoTorch,0.258654124457308287610146635416,341,50,75,3 489,481_0,COMPLETED,BoTorch,0.249979498311625691897575052280,315,34,50,5 490,481_0,COMPLETED,BoTorch,0.250015677761697974190724380605,315,34,50,5 491,491_0,COMPLETED,BoTorch,0.255103714423540739453244441393,301,20,67,5 492,492_0,COMPLETED,BoTorch,0.261531596719729808597776354873,364,50,71,1 493,493_0,COMPLETED,BoTorch,0.256883743367100847443396105518,505,50,50,3 494,494_0,COMPLETED,BoTorch,0.261865653642064599715411077341,806,50,82,1 495,495_0,COMPLETED,BoTorch,0.258804872165943056216974582640,392,50,50,5 496,496_0,COMPLETED,BoTorch,0.263578147612156254986359726900,971,10,50,5 497,497_0,COMPLETED,BoTorch,0.258264592378195878552560316166,434,50,50,1 498,498_0,COMPLETED,BoTorch,0.262756874095513737188412051182,434,50,76,1 499,499_0,COMPLETED,BoTorch,0.260536661842739936112423038139,969,10,50,1
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 1727650548,1727651268,720,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 182 n_permutations 36 update_interval 225 n_consecutive_deviations 2,182,36,225,2,0.292668837433671,0,None,i7186,712,4.977668578152226e-05 1727650553,1727651290,737,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 241 n_permutations 13 update_interval 124 n_consecutive_deviations 4,241,13,124,4,0.27249999999999996,0,None,i7181,730,2.7063022249582373e-05 1727650548,1727651297,749,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 229 n_permutations 13 update_interval 183 n_consecutive_deviations 4,229,13,183,4,0.2841015436565364,0,None,i7186,742,4.053641760070211e-05 1727650548,1727651348,800,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 298 n_permutations 24 update_interval 148 n_consecutive_deviations 4,298,24,148,4,0.2668234442836469,0,None,i7186,793,3.323263626086239e-05 1727650586,1727651361,775,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 287 n_permutations 29 update_interval 152 n_consecutive_deviations 2,287,29,152,2,0.2706608779546551,0,None,i7174,711,3.102542442927139e-05 1727650548,1727651421,873,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 427 n_permutations 22 update_interval 236 n_consecutive_deviations 3,427,22,236,3,0.29598408104196816,0,None,i7186,865,5.188130808474876e-05 1727650548,1727651428,880,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 478 n_permutations 30 update_interval 238 n_consecutive_deviations 3,478,30,238,3,0.2976965750120598,0,None,i7181,874,5.3164492696523765e-05 1727650548,1727651446,898,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 555 n_permutations 18 update_interval 224 n_consecutive_deviations 1,555,18,224,1,0.28706102267245537,0,None,i7181,892,4.737272102268627e-05 1727650549,1727651448,899,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 456 n_permutations 27 update_interval 158 n_consecutive_deviations 3,456,27,158,3,0.28004703328509406,0,None,i7186,892,3.4129122889690426e-05 1727650548,1727651459,911,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 471 n_permutations 11 update_interval 166 n_consecutive_deviations 2,471,11,166,2,0.2856765557163531,0,None,i7186,904,3.4034919932353363e-05 1727650548,1727651492,944,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 476 n_permutations 39 update_interval 93 n_consecutive_deviations 5,476,39,93,5,0.26838157260009643,0,None,i7186,936,2.2802028988051827e-05 1727650568,1727651503,935,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 580 n_permutations 50 update_interval 165 n_consecutive_deviations 5,580,50,165,5,0.2723902556681138,0,None,i7181,928,3.897250742616501e-05 1727650553,1727651563,1010,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 684 n_permutations 29 update_interval 250 n_consecutive_deviations 1,684,29,250,1,0.2893355041003377,0,None,i7181,1003,5.151653471007701e-05 1727650586,1727651567,981,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 542 n_permutations 31 update_interval 74 n_consecutive_deviations 1,542,31,74,1,0.2704630969609262,0,None,i7174,918,1.4260942342306923e-05 1727650548,1727651587,1039,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 752 n_permutations 35 update_interval 127 n_consecutive_deviations 5,752,35,127,5,0.2700072358900145,0,None,i7181,1033,3.002176385900815e-05 1727650568,1727651605,1037,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 726 n_permutations 37 update_interval 236 n_consecutive_deviations 3,726,37,236,3,0.2856608779546551,0,None,i7181,1031,5.19378870055117e-05 1727650528,1727651748,1220,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 901 n_permutations 17 update_interval 111 n_consecutive_deviations 2,901,17,111,2,0.2664242643511818,0,None,i7186,1213,2.2829926916790306e-05 1727650568,1727651749,1181,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 846 n_permutations 48 update_interval 55 n_consecutive_deviations 5,846,48,55,5,0.2629425952725518,0,None,i7181,1174,1.7617829573885522e-05 1727650528,1727651808,1280,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 920 n_permutations 31 update_interval 60 n_consecutive_deviations 1,920,31,60,1,0.2612071876507477,0,None,i7186,1273,1.3140531561573954e-05 1727650523,1727651820,1297,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 998 n_permutations 19 update_interval 92 n_consecutive_deviations 3,998,19,92,3,0.2657826821032321,0,None,i7186,1289,2.12808506201394e-05 1727651914,1727652622,708,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 138 n_permutations 36 update_interval 127 n_consecutive_deviations 4,138,36,127,4,0.2773830197780994,0,None,i7186,699,2.8835531219864495e-05 1727651973,1727653024,1051,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 859 n_permutations 42 update_interval 79 n_consecutive_deviations 2,859,42,79,2,0.2615967197298601,0,None,i7174,1044,1.7312609759330494e-05 1727651961,1727653034,1073,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 634 n_permutations 50 update_interval 50 n_consecutive_deviations 4,634,50,50,4,0.2587650747708635,0,None,i7181,1066,1.4649037693517759e-05 1727651962,1727653130,1168,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 1000 n_permutations 32 update_interval 50 n_consecutive_deviations 3,1000,32,50,3,0.2595887602508442,0,None,i7174,1162,1.4731397984341463e-05 1727651941,1727653143,1202,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 798 n_permutations 14 update_interval 50 n_consecutive_deviations 1,798,14,50,1,0.25906054027978775,0,None,i7181,1195,1.1411730961403219e-05 1727651961,1727653144,1183,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 825 n_permutations 33 update_interval 72 n_consecutive_deviations 3,825,33,72,3,0.2606874095513748,0,None,i7181,1176,1.749447015299893e-05 1727651961,1727653159,1198,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 793 n_permutations 36 update_interval 50 n_consecutive_deviations 2,793,36,50,2,0.2586167390255668,0,None,i7181,1192,1.2780720585799978e-05 1727651941,1727653162,1221,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 770 n_permutations 29 update_interval 50 n_consecutive_deviations 5,770,29,50,5,0.25784732272069466,0,None,i7186,1213,1.6804897862486553e-05 1727651943,1727653188,1245,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 1000 n_permutations 50 update_interval 92 n_consecutive_deviations 5,1000,50,92,5,0.26763506994693675,0,None,i7181,1238,2.395053046208944e-05 1727651914,1727653203,1289,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 846 n_permutations 29 update_interval 50 n_consecutive_deviations 3,846,29,50,3,0.2614061746261457,0,None,i7186,1280,1.4226281945089306e-05 1727651961,1727653204,1243,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 898 n_permutations 25 update_interval 50 n_consecutive_deviations 4,898,25,50,4,0.2609937288953208,0,None,i7181,1237,1.5748952180384638e-05 1727651941,1727653219,1278,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 909 n_permutations 50 update_interval 91 n_consecutive_deviations 1,909,50,91,1,0.2658080077182827,0,None,i7186,1271,1.7951341759577725e-05 1727651921,1727653232,1311,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 874 n_permutations 50 update_interval 50 n_consecutive_deviations 2,874,50,50,2,0.25857332368548,0,None,i7186,1303,1.3092391815316538e-05 1727651961,1727653235,1274,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 1000 n_permutations 26 update_interval 82 n_consecutive_deviations 1,1000,26,82,1,0.2638157260009648,0,None,i7181,1267,1.669780531920195e-05 1727651914,1727653250,1336,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 952 n_permutations 40 update_interval 66 n_consecutive_deviations 3,952,40,66,3,0.2635407621804149,0,None,i7186,1327,1.68162230421097e-05 1727651941,1727653270,1329,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 1000 n_permutations 50 update_interval 50 n_consecutive_deviations 1,1000,50,50,1,0.2583055957549445,0,None,i7181,1322,1.1857242623663936e-05 1727651941,1727653290,1349,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 1000 n_permutations 50 update_interval 90 n_consecutive_deviations 3,1000,50,90,3,0.2668523878437048,0,None,i7186,1342,2.084092664404429e-05 1727651941,1727653299,1358,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 1000 n_permutations 34 update_interval 50 n_consecutive_deviations 5,1000,34,50,5,0.2615328027013989,0,None,i7186,1351,1.7372260872180146e-05 1727651921,1727653313,1392,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 989 n_permutations 18 update_interval 54 n_consecutive_deviations 1,989,18,54,1,0.25925108538350217,0,None,i7186,1385,1.2418500731605221e-05 1727651921,1727653316,1395,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 1000 n_permutations 36 update_interval 89 n_consecutive_deviations 1,1000,36,89,1,0.26556319343945967,0,None,i7186,1388,1.7778038824359768e-05 1727652646,1727653863,1217,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 825 n_permutations 38 update_interval 76 n_consecutive_deviations 5,825,38,76,5,0.26308128316449586,0,None,i7186,1209,2.062405973449312e-05 1727653061,1727654021,960,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 696 n_permutations 50 update_interval 73 n_consecutive_deviations 3,696,50,73,3,0.26227568740955143,0,None,i7174,953,1.710018228876767e-05 1727653048,1727654211,1163,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 833 n_permutations 30 update_interval 79 n_consecutive_deviations 2,833,30,79,2,0.2618379160636758,0,None,i7181,1154,1.7341330490467626e-05 1727653192,1727654249,1057,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 624 n_permutations 35 update_interval 50 n_consecutive_deviations 5,624,35,50,5,0.2626025084418717,0,None,i7181,1050,1.565725108274794e-05 1727653172,1727654250,1078,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 658 n_permutations 22 update_interval 50 n_consecutive_deviations 4,658,22,50,4,0.2603256150506512,0,None,i7181,1071,1.4843890921233045e-05 1727653152,1727654279,1127,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 743 n_permutations 40 update_interval 50 n_consecutive_deviations 3,743,40,50,3,0.26028099372889535,0,None,i7181,1120,1.3752104474874991e-05 1727653272,1727654316,1044,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 705 n_permutations 10 update_interval 69 n_consecutive_deviations 5,705,10,69,5,0.2619078630004824,0,None,i7181,1037,1.9087145706842315e-05 1727653292,1727654370,1078,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 691 n_permutations 35 update_interval 50 n_consecutive_deviations 4,691,35,50,4,0.2577882296189098,0,None,i7181,1071,1.4881879571812627e-05 1727653365,1727654380,1015,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 776 n_permutations 10 update_interval 66 n_consecutive_deviations 5,776,10,66,5,0.26063555233960445,0,None,i7174,1009,1.913586069063967e-05 1727653212,1727654426,1214,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 934 n_permutations 10 update_interval 50 n_consecutive_deviations 5,934,10,50,5,0.26365774240231543,0,None,i7181,1207,1.709043155726224e-05 1727653365,1727654429,1064,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 681 n_permutations 41 update_interval 66 n_consecutive_deviations 5,681,41,66,5,0.2643150024119634,0,None,i7181,1055,1.8301737649638027e-05 1727653304,1727654433,1129,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 663 n_permutations 24 update_interval 58 n_consecutive_deviations 5,663,24,58,5,0.26089001447178006,0,None,i7186,1121,1.727059078810829e-05 1727653244,1727654435,1191,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 686 n_permutations 40 update_interval 50 n_consecutive_deviations 5,686,40,50,5,0.2603557645923782,0,None,i7186,1184,1.602095400849159e-05 1727653272,1727654443,1171,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 659 n_permutations 10 update_interval 50 n_consecutive_deviations 5,659,10,50,5,0.2615557163531115,0,None,i7186,1163,1.6006636246420887e-05 1727653212,1727654465,1253,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 748 n_permutations 10 update_interval 50 n_consecutive_deviations 4,748,10,50,4,0.2581693198263386,0,None,i7186,1246,1.51242237668494e-05 1727653232,1727654477,1245,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 724 n_permutations 50 update_interval 50 n_consecutive_deviations 1,724,50,50,1,0.25771466473709603,0,None,i7186,1237,1.1154816977204612e-05 1727653172,1727654480,1308,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 875 n_permutations 10 update_interval 50 n_consecutive_deviations 3,875,10,50,3,0.2590629522431259,0,None,i7186,1298,1.4467550561244529e-05 1727653332,1727654630,1298,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 795 n_permutations 50 update_interval 50 n_consecutive_deviations 1,795,50,50,1,0.25830800771828266,0,None,i7186,1290,1.1415695010240797e-05 1727653332,1727654527,1195,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 725 n_permutations 10 update_interval 50 n_consecutive_deviations 5,725,10,50,5,0.25911722141823446,0,None,i7186,1188,1.6402717813122662e-05 1727653304,1727654720,1416,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 1000 n_permutations 10 update_interval 50 n_consecutive_deviations 1,1000,10,50,1,0.2582404727448143,0,None,i7186,1408,1.1862518344252231e-05 1727654052,1727654957,905,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 574 n_permutations 10 update_interval 50 n_consecutive_deviations 5,574,10,50,5,0.25762662807525327,0,None,i7174,899,1.557993994036085e-05 1727653879,1727654988,1109,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 648 n_permutations 25 update_interval 50 n_consecutive_deviations 5,648,25,50,5,0.2591919922817173,0,None,i7186,1102,1.607237195297024e-05 1727654242,1727655347,1105,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 686 n_permutations 29 update_interval 50 n_consecutive_deviations 2,686,29,50,2,0.259539315002412,0,None,i7181,1099,1.2389221016712996e-05 1727654292,1727655394,1102,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 724 n_permutations 50 update_interval 50 n_consecutive_deviations 3,724,50,50,3,0.25940665701881327,0,None,i7181,1095,1.3841066280529075e-05 1727654302,1727655404,1102,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 735 n_permutations 23 update_interval 50 n_consecutive_deviations 3,735,23,50,3,0.25840086830680176,0,None,i7181,1095,1.3878285113058407e-05 1727654333,1727655477,1144,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 803 n_permutations 10 update_interval 50 n_consecutive_deviations 5,803,10,50,5,0.26054148576941627,0,None,i7181,1138,1.6722874338955817e-05 1727654292,1727655535,1243,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 1000 n_permutations 10 update_interval 50 n_consecutive_deviations 5,1000,10,50,5,0.2615388326097443,0,None,i7181,1236,1.7382133450679087e-05 1727654418,1727655564,1146,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 1000 n_permutations 35 update_interval 50 n_consecutive_deviations 1,1000,35,50,1,0.2582477086348287,0,None,i7174,1140,1.1860324124801024e-05 1727654398,1727655661,1263,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 908 n_permutations 10 update_interval 50 n_consecutive_deviations 1,908,10,50,1,0.25938856729377713,0,None,i7181,1256,1.1633980458847598e-05 1727654498,1727655672,1174,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 631 n_permutations 50 update_interval 50 n_consecutive_deviations 2,631,50,50,2,0.26039435600578875,0,None,i7186,1167,1.2106078108414485e-05 1727654498,1727655704,1206,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 747 n_permutations 22 update_interval 50 n_consecutive_deviations 4,747,22,50,4,0.2581367583212735,0,None,i7186,1199,1.5117966501182534e-05 1727654498,1727655796,1298,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 821 n_permutations 10 update_interval 68 n_consecutive_deviations 1,821,10,68,1,0.2602580800771829,0,None,i7186,1291,1.4117748705005963e-05 1727654514,1727655814,1300,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 806 n_permutations 50 update_interval 50 n_consecutive_deviations 1,806,50,50,1,0.2572624216111915,0,None,i7186,1292,1.1492291384844436e-05 1727654454,1727655826,1372,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 896 n_permutations 50 update_interval 50 n_consecutive_deviations 1,896,50,50,1,0.25940786300048235,0,None,i7186,1364,1.1634486858830444e-05 1727654719,1727655915,1196,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 623 n_permutations 50 update_interval 50 n_consecutive_deviations 1,623,50,50,1,0.2610347322720694,0,None,i7186,1189,1.0832971553473642e-05 1727654986,1727655917,931,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 428 n_permutations 10 update_interval 50 n_consecutive_deviations 5,428,10,50,5,0.25783285094066566,0,None,i7181,924,1.50290722007868e-05 1727654737,1727655973,1236,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 761 n_permutations 10 update_interval 59 n_consecutive_deviations 2,761,10,59,2,0.2592281717317897,0,None,i7186,1229,1.3991080627306134e-05 1727655026,1727655977,951,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 354 n_permutations 50 update_interval 50 n_consecutive_deviations 5,354,50,50,5,0.25704534491075737,0,None,i7186,944,1.4405449593085399e-05 1727654778,1727655983,1205,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 1000 n_permutations 10 update_interval 172 n_consecutive_deviations 1,1000,10,172,1,0.2800518572117704,0,None,i7181,1198,3.170162508717033e-05 1727654777,1727655997,1220,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 1000 n_permutations 50 update_interval 169 n_consecutive_deviations 1,1000,50,169,1,0.27976965750120597,0,None,i7181,1213,3.100667658519419e-05 1727654756,1727656052,1296,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 674 n_permutations 50 update_interval 50 n_consecutive_deviations 1,674,50,50,1,0.25961287988422577,0,None,i7186,1289,1.1043038494042934e-05 1727655366,1727656063,697,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 100 n_permutations 50 update_interval 50 n_consecutive_deviations 1,100,50,50,1,0.26417510853835025,0,None,i7174,690,1.098879858604034e-05 1727654777,1727656077,1300,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 1000 n_permutations 50 update_interval 172 n_consecutive_deviations 5,1000,50,172,5,0.2821152918475639,0,None,i7186,1293,3.7952784175427174e-05 1727655421,1727656266,845,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 317 n_permutations 10 update_interval 50 n_consecutive_deviations 5,317,10,50,5,0.25052098408104195,0,None,i7181,839,1.5695792180046005e-05 1727655447,1727656429,982,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 495 n_permutations 10 update_interval 50 n_consecutive_deviations 4,495,10,50,4,0.2577399903521467,0,None,i7181,975,1.4079323379471264e-05 1727655567,1727656431,864,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 293 n_permutations 13 update_interval 50 n_consecutive_deviations 5,293,13,50,5,0.25913048721659426,0,None,i7181,858,1.426131679183358e-05 1727655693,1727656485,792,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 100 n_permutations 10 update_interval 50 n_consecutive_deviations 5,100,10,50,5,0.2651266280752532,0,None,i7186,784,1.5662664843994572e-05 1727655507,1727656546,1039,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 539 n_permutations 10 update_interval 50 n_consecutive_deviations 2,539,10,50,2,0.26608779546550887,0,None,i7181,1032,1.2008042983667546e-05 1727655713,1727656576,863,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 100 n_permutations 10 update_interval 50 n_consecutive_deviations 1,100,10,50,1,0.2641160154365654,0,None,i7186,855,1.099439049152851e-05 1727655733,1727656595,862,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 328 n_permutations 16 update_interval 50 n_consecutive_deviations 5,328,16,50,5,0.2534913169319827,0,None,i7181,855,1.5552300494300673e-05 1727655845,1727656730,885,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 185 n_permutations 16 update_interval 50 n_consecutive_deviations 4,185,16,50,4,0.2658526290400386,0,None,i7186,878,1.2974201332985018e-05 1727655587,1727656732,1145,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 1000 n_permutations 20 update_interval 155 n_consecutive_deviations 1,1000,20,155,1,0.2782091172214183,0,None,i7174,1138,2.8567254838518515e-05 1727655959,1727656870,911,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 411 n_permutations 10 update_interval 50 n_consecutive_deviations 3,411,10,50,3,0.2613784370477569,0,None,i7181,903,1.2925691157725091e-05 1727655833,1727656875,1042,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 427 n_permutations 26 update_interval 50 n_consecutive_deviations 5,427,26,50,5,0.2576652194886637,0,None,i7186,1034,1.5051771714385898e-05 1727656135,1727656912,777,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 293 n_permutations 29 update_interval 50 n_consecutive_deviations 2,293,29,50,2,0.2585516160154365,0,None,i7174,771,1.1299291467570499e-05 1727656019,1727656925,906,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 250 n_permutations 50 update_interval 50 n_consecutive_deviations 5,250,50,50,5,0.2607079112397491,0,None,i7186,899,1.3547137680640471e-05 1727656056,1727656977,921,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 344 n_permutations 30 update_interval 50 n_consecutive_deviations 4,344,30,50,4,0.2574807042932947,0,None,i7181,915,1.3636420454799479e-05 1727656056,1727657008,952,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 404 n_permutations 41 update_interval 50 n_consecutive_deviations 4,404,41,50,4,0.25967076700434155,0,None,i7181,945,1.402853218526145e-05 1727655959,1727657033,1074,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 485 n_permutations 10 update_interval 50 n_consecutive_deviations 5,485,10,50,5,0.25958514230583696,0,None,i7186,1067,1.5256463887189528e-05 1727656019,1727657062,1043,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 422 n_permutations 50 update_interval 50 n_consecutive_deviations 5,422,50,50,5,0.2584273999035215,0,None,i7186,1035,1.5148398041307722e-05 1727656116,1727657104,988,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 311 n_permutations 50 update_interval 50 n_consecutive_deviations 3,311,50,50,3,0.2534466956102267,0,None,i7186,981,1.2899454434343982e-05 1727656294,1727657145,851,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 244 n_permutations 10 update_interval 50 n_consecutive_deviations 5,244,10,50,5,0.2622262421611191,0,None,i7181,844,1.3465053062371771e-05 1727655874,1727657186,1312,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 1000 n_permutations 10 update_interval 144 n_consecutive_deviations 1,1000,10,144,1,0.27599011095031356,0,None,i7186,1306,2.6783315168045535e-05 1727656083,1727657212,1129,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 557 n_permutations 46 update_interval 50 n_consecutive_deviations 3,557,46,50,3,0.2607682103232031,0,None,i7186,1121,1.3337986134903505e-05 1727656475,1727657358,883,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 296 n_permutations 10 update_interval 50 n_consecutive_deviations 3,296,10,50,3,0.25634466956102264,0,None,i7181,877,1.2336749776709073e-05 1727656475,1727657368,893,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 340 n_permutations 10 update_interval 50 n_consecutive_deviations 5,340,10,50,5,0.2563181379643029,0,None,i7181,887,1.501770445793846e-05 1727656508,1727657507,999,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 360 n_permutations 10 update_interval 50 n_consecutive_deviations 5,360,10,50,5,0.2567595272551857,0,None,i7186,991,1.4218791156978833e-05 1727656568,1727657514,946,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 350 n_permutations 50 update_interval 50 n_consecutive_deviations 2,350,50,50,2,0.2585950313555234,0,None,i7181,939,1.1226279955652606e-05 1727656629,1727657580,951,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 405 n_permutations 49 update_interval 50 n_consecutive_deviations 4,405,49,50,4,0.26065002411963334,0,None,i7181,945,1.4017082691784772e-05 1727656794,1727657602,808,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 330 n_permutations 10 update_interval 50 n_consecutive_deviations 1,330,10,50,1,0.25838036661842745,0,None,i7174,801,1.0449539751750647e-05 1727656961,1727657759,798,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 370 n_permutations 22 update_interval 51 n_consecutive_deviations 4,370,22,51,4,0.2574264351181862,0,None,i7174,792,1.2989373248945554e-05 1727656915,1727657773,858,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 324 n_permutations 10 update_interval 50 n_consecutive_deviations 4,324,10,50,4,0.2524059334298119,0,None,i7181,851,1.4433353558893951e-05 1727656775,1727657777,1002,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 345 n_permutations 10 update_interval 50 n_consecutive_deviations 3,345,10,50,3,0.2573191027496382,0,None,i7186,995,1.2519627031392098e-05 1727657035,1727657789,754,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 264 n_permutations 14 update_interval 163 n_consecutive_deviations 3,264,14,163,3,0.2743186203569705,0,None,i7181,748,3.511197084489102e-05 1727656615,1727657809,1194,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 631 n_permutations 20 update_interval 69 n_consecutive_deviations 1,631,20,69,1,0.26272672455378676,0,None,i7186,1187,1.347467110959042e-05 1727657015,1727657837,822,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 325 n_permutations 50 update_interval 93 n_consecutive_deviations 5,325,50,93,5,0.25744934876989867,0,None,i7181,815,2.3472239745167022e-05 1727656935,1727657880,945,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 330 n_permutations 50 update_interval 79 n_consecutive_deviations 1,330,50,79,1,0.2591280752532561,0,None,i7186,937,1.5244122679921104e-05 1727656915,1727657920,1005,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 348 n_permutations 10 update_interval 50 n_consecutive_deviations 5,348,10,50,5,0.2563121080559575,0,None,i7186,998,1.4731653874290662e-05 1727657173,1727658007,834,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 272 n_permutations 50 update_interval 72 n_consecutive_deviations 1,272,50,72,1,0.2591268692715871,0,None,i7181,828,1.3808158300085883e-05 1727657075,1727658074,999,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 347 n_permutations 10 update_interval 50 n_consecutive_deviations 5,347,10,50,5,0.25643753014954174,0,None,i7186,992,1.4770466941754259e-05 1727657135,1727658178,1043,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 295 n_permutations 50 update_interval 50 n_consecutive_deviations 1,295,50,50,1,0.2569512783405692,0,None,i7186,1035,1.0254749479472496e-05 1727657256,1727658184,928,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 313 n_permutations 50 update_interval 82 n_consecutive_deviations 2,313,50,82,2,0.25391823444283645,0,None,i7186,921,1.7567862396153e-05 1727657113,1727658184,1071,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 378 n_permutations 16 update_interval 54 n_consecutive_deviations 2,378,16,54,2,0.2597588036661843,0,None,i7186,1063,1.133546440980173e-05 1727657384,1727658189,805,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 317 n_permutations 32 update_interval 78 n_consecutive_deviations 4,317,32,78,4,0.2534961408586589,0,None,i7181,799,1.9304202232905725e-05 1727657414,1727658231,817,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 318 n_permutations 50 update_interval 69 n_consecutive_deviations 3,318,50,69,3,0.25214423540762176,0,None,i7181,810,1.6426369268446216e-05 1727657216,1727658260,1044,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 324 n_permutations 50 update_interval 50 n_consecutive_deviations 1,324,50,50,1,0.25637964302942595,0,None,i7186,1038,1.0553069958453522e-05 1727657655,1727658288,633,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 267 n_permutations 12 update_interval 162 n_consecutive_deviations 3,267,12,162,3,0.2724409068982151,0,None,i7174,627,3.502469053397911e-05 1727657575,1727658372,797,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 318 n_permutations 50 update_interval 74 n_consecutive_deviations 4,318,50,74,4,0.2525192957067053,0,None,i7181,790,1.856628477921118e-05 1727657615,1727658428,813,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 314 n_permutations 50 update_interval 50 n_consecutive_deviations 4,314,50,50,4,0.24952725518572116,0,None,i7181,806,1.4526366117186367e-05 1727657555,1727658485,930,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 280 n_permutations 50 update_interval 70 n_consecutive_deviations 2,280,50,70,2,0.26012542209358414,0,None,i7186,923,1.4498361367948415e-05 1727657875,1727658689,814,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 327 n_permutations 50 update_interval 50 n_consecutive_deviations 5,327,50,50,5,0.253986975397974,0,None,i7181,807,1.5533801528656267e-05 1727657866,1727658717,851,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 319 n_permutations 26 update_interval 50 n_consecutive_deviations 4,319,26,50,4,0.25071273516642545,0,None,i7181,844,1.4591812772150887e-05 1727657995,1727658754,759,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 317 n_permutations 26 update_interval 64 n_consecutive_deviations 4,317,26,64,4,0.25132899179932466,0,None,i7174,753,1.6821770461876316e-05 1727657796,1727658755,959,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 332 n_permutations 23 update_interval 50 n_consecutive_deviations 5,332,23,50,5,0.25445851423058374,0,None,i7186,952,1.539605949959065e-05 1727657995,1727658760,765,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 327 n_permutations 10 update_interval 68 n_consecutive_deviations 5,327,10,68,5,0.25543656536420645,0,None,i7174,759,1.8519689075438697e-05 1727657856,1727658806,950,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 334 n_permutations 10 update_interval 65 n_consecutive_deviations 5,334,10,65,5,0.2561287988422576,0,None,i7186,943,1.766406366791942e-05 1727658046,1727658816,770,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 298 n_permutations 50 update_interval 146 n_consecutive_deviations 5,298,50,146,5,0.26670767004341533,0,None,i7181,763,3.382951063974801e-05 1727657916,1727658849,933,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 319 n_permutations 50 update_interval 50 n_consecutive_deviations 5,319,50,50,5,0.2508381572600097,0,None,i7186,926,1.5751547679062484e-05 1727657926,1727658898,972,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 330 n_permutations 10 update_interval 50 n_consecutive_deviations 5,330,10,50,5,0.2539700916546068,0,None,i7186,964,1.545536866210828e-05 1727658107,1727659059,952,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 324 n_permutations 29 update_interval 50 n_consecutive_deviations 5,324,29,50,5,0.25314640617462614,0,None,i7186,945,1.565049647538794e-05 1727658355,1727659157,802,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 332 n_permutations 10 update_interval 80 n_consecutive_deviations 5,332,10,80,5,0.2570791123974916,0,None,i7181,796,2.0609958116415042e-05 1727658276,1727659188,912,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 324 n_permutations 10 update_interval 74 n_consecutive_deviations 4,324,10,74,4,0.25579956584659913,0,None,i7186,906,1.841647155704652e-05 1727658375,1727659199,824,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 316 n_permutations 36 update_interval 70 n_consecutive_deviations 3,316,36,70,3,0.25205981669078625,0,None,i7181,816,1.6614433198253315e-05 1727658258,1727659201,943,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 309 n_permutations 43 update_interval 62 n_consecutive_deviations 4,309,43,62,4,0.25368427399903526,0,None,i7186,936,1.540601416861424e-05 1727658395,1727659212,817,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 325 n_permutations 29 update_interval 73 n_consecutive_deviations 4,325,29,73,4,0.2562433671008201,0,None,i7181,810,1.816664717568675e-05 1727658276,1727659213,937,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 310 n_permutations 39 update_interval 63 n_consecutive_deviations 4,310,39,63,4,0.2532416787264834,0,None,i7186,930,1.5763400626245216e-05 1727658455,1727659276,821,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 310 n_permutations 50 update_interval 67 n_consecutive_deviations 4,310,50,67,4,0.2526603955619875,0,None,i7181,814,1.6498761729548416e-05 1727658349,1727659283,934,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 308 n_permutations 50 update_interval 68 n_consecutive_deviations 3,308,50,68,3,0.25535214664737094,0,None,i7186,926,1.5279901073218492e-05 1727658531,1727659316,785,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 309 n_permutations 50 update_interval 50 n_consecutive_deviations 5,309,50,50,5,0.25303786782440907,0,None,i7174,779,1.4502309390434761e-05 1727658495,1727659454,959,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 310 n_permutations 50 update_interval 59 n_consecutive_deviations 4,310,50,59,4,0.25343704775687415,0,None,i7186,951,1.5112870284371676e-05 1727658756,1727659582,826,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 314 n_permutations 39 update_interval 50 n_consecutive_deviations 4,314,39,50,4,0.2495176073323685,0,None,i7181,819,1.4526746508045202e-05 1727658735,1727659582,847,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 317 n_permutations 50 update_interval 60 n_consecutive_deviations 4,317,50,60,4,0.25222503617945,0,None,i7181,840,1.6130124496624723e-05 1727658933,1727659689,756,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 180 n_permutations 10 update_interval 51 n_consecutive_deviations 5,180,10,51,5,0.2672057404727448,0,None,i7181,749,1.4036887247605817e-05 1727658864,1727659794,930,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 319 n_permutations 39 update_interval 60 n_consecutive_deviations 4,319,39,60,4,0.2523842257597685,0,None,i7186,923,1.6158022243365766e-05 1727658873,1727659844,971,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 316 n_permutations 50 update_interval 50 n_consecutive_deviations 4,316,50,50,4,0.25089122045344914,0,None,i7186,964,1.4543692640852245e-05 1727658873,1727659848,975,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 310 n_permutations 50 update_interval 50 n_consecutive_deviations 4,310,50,50,4,0.2523058369512784,0,None,i7186,968,1.3770190632847804e-05 1727658925,1727659942,1017,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 229 n_permutations 50 update_interval 50 n_consecutive_deviations 1,229,50,50,1,0.2640062711046792,0,None,i7186,1010,9.713315255522496e-06 1727658954,1727660003,1049,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 850 n_permutations 10 update_interval 250 n_consecutive_deviations 1,850,10,250,1,0.2884406657018813,0,None,i7174,1040,4.902824182622194e-05 1727659087,1727660056,969,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 471 n_permutations 32 update_interval 124 n_consecutive_deviations 5,471,32,124,5,0.2762698986975398,0,None,i7186,961,2.936486596067198e-05 1727658973,1727660090,1117,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 984 n_permutations 27 update_interval 247 n_consecutive_deviations 1,984,27,247,1,0.2921285576459238,0,None,i7174,1111,4.6427888482472945e-05 1727659197,1727660148,951,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 313 n_permutations 44 update_interval 53 n_consecutive_deviations 4,313,44,53,4,0.251242161119151,0,None,i7186,944,1.4718736419697692e-05 1727659422,1727660188,766,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 313 n_permutations 38 update_interval 50 n_consecutive_deviations 5,313,38,50,5,0.24976965750120594,0,None,i7174,759,1.532719263652956e-05 1727659257,1727660193,936,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 311 n_permutations 50 update_interval 59 n_consecutive_deviations 5,311,50,59,5,0.2523191027496382,0,None,i7186,928,1.6294134414718393e-05 1727659257,1727660197,940,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 313 n_permutations 42 update_interval 52 n_consecutive_deviations 5,313,42,52,5,0.2497021225277376,0,None,i7186,932,1.5645891850625882e-05 1727659344,1727660202,858,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 319 n_permutations 37 update_interval 64 n_consecutive_deviations 4,319,37,64,4,0.2524252291365171,0,None,i7181,839,1.6766857019375343e-05 1727659344,1727660215,871,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 315 n_permutations 41 update_interval 50 n_consecutive_deviations 4,315,41,50,4,0.25029425952725515,0,None,i7181,853,1.4533945506924292e-05 1727659402,1727660225,823,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 315 n_permutations 39 update_interval 50 n_consecutive_deviations 5,315,39,50,5,0.2499433188615533,0,None,i7181,816,1.56316595231859e-05 1727659409,1727660244,835,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 314 n_permutations 38 update_interval 50 n_consecutive_deviations 4,314,38,50,4,0.2495176073323685,0,None,i7181,828,1.4527892105340897e-05 1727659318,1727660259,941,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 311 n_permutations 50 update_interval 50 n_consecutive_deviations 5,311,50,50,5,0.2511215629522431,0,None,i7186,933,1.495832311464997e-05 1727659652,1727660473,821,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 316 n_permutations 41 update_interval 50 n_consecutive_deviations 4,316,41,50,4,0.25090569223347803,0,None,i7181,814,1.4543119251255634e-05 1727659636,1727660570,934,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 480 n_permutations 50 update_interval 82 n_consecutive_deviations 5,480,50,82,5,0.26614688856729374,0,None,i7181,927,2.0483993621462896e-05 1727659498,1727660576,1078,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 529 n_permutations 50 update_interval 50 n_consecutive_deviations 5,529,50,50,5,0.26275687409551374,0,None,i7186,1071,1.5777666455843523e-05 1727659736,1727660703,967,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 485 n_permutations 46 update_interval 50 n_consecutive_deviations 4,485,46,50,4,0.25948625180897256,0,None,i7181,960,1.4153797418049765e-05 1727659832,1727660771,939,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 316 n_permutations 46 update_interval 50 n_consecutive_deviations 4,316,46,50,4,0.25093342981186684,0,None,i7186,932,1.4540868000635955e-05 1727660045,1727660848,803,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 463 n_permutations 42 update_interval 83 n_consecutive_deviations 4,463,42,83,4,0.2673697539797395,0,None,i7174,795,1.9489116962375866e-05 1727659917,1727660858,941,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 314 n_permutations 35 update_interval 50 n_consecutive_deviations 5,314,35,50,5,0.2502629040038591,0,None,i7186,933,1.5536912660021123e-05 1727660136,1727660874,738,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 312 n_permutations 42 update_interval 50 n_consecutive_deviations 4,312,42,50,4,0.25101784852870235,0,None,i7174,732,1.4168177554624372e-05 1727659917,1727660879,962,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 314 n_permutations 42 update_interval 50 n_consecutive_deviations 4,314,42,50,4,0.24948866377231071,0,None,i7186,954,1.4527887680621703e-05 1727659985,1727660956,971,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 314 n_permutations 44 update_interval 50 n_consecutive_deviations 4,314,44,50,4,0.24951640135069952,0,None,i7186,964,1.4526794056902553e-05 1727660349,1727661128,779,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 100 n_permutations 42 update_interval 70 n_consecutive_deviations 3,100,42,70,3,0.2683478051133623,0,None,i7186,773,1.698380733070472e-05 1727660190,1727661144,954,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 319 n_permutations 50 update_interval 50 n_consecutive_deviations 4,319,50,50,4,0.2506813796430294,0,None,i7186,946,1.4587842053179076e-05 1727660370,1727661154,784,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 310 n_permutations 44 update_interval 50 n_consecutive_deviations 5,310,44,50,5,0.2523830197780994,0,None,i7181,777,1.4691225656559218e-05 1727660378,1727661170,792,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 313 n_permutations 40 update_interval 50 n_consecutive_deviations 4,313,40,50,4,0.2503135552339605,0,None,i7181,785,1.427695715824467e-05 1727660349,1727661173,824,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 313 n_permutations 41 update_interval 50 n_consecutive_deviations 5,313,41,50,5,0.24976965750120594,0,None,i7181,818,1.532719263652956e-05 1727660106,1727661208,1102,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 540 n_permutations 39 update_interval 55 n_consecutive_deviations 3,540,39,55,3,0.26713820549927636,0,None,i7186,1095,1.3971933311427878e-05 1727660411,1727661219,808,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 520 n_permutations 20 update_interval 50 n_consecutive_deviations 5,520,20,50,5,0.26153521466473706,0,None,i7174,802,1.5623050072375817e-05 1727660258,1727661287,1029,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 478 n_permutations 41 update_interval 72 n_consecutive_deviations 4,478,41,72,4,0.265198986975398,0,None,i7186,1022,1.7469444462958498e-05 1727660250,1727661297,1047,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 516 n_permutations 42 update_interval 69 n_consecutive_deviations 5,516,42,69,5,0.261702846116739,0,None,i7186,1040,1.8310887792926602e-05 1727660370,1727661337,967,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 516 n_permutations 45 update_interval 50 n_consecutive_deviations 3,516,45,50,3,0.25918837433671005,0,None,i7181,959,1.3151915564324532e-05 1727660510,1727661408,898,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 454 n_permutations 50 update_interval 50 n_consecutive_deviations 1,454,50,50,1,0.26275687409551374,0,None,i7181,891,1.0486304871738707e-05 1727660630,1727661495,865,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 377 n_permutations 50 update_interval 50 n_consecutive_deviations 3,377,50,50,3,0.25765074770863483,0,None,i7181,858,1.1789049874269023e-05 1727660621,1727661547,926,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 311 n_permutations 44 update_interval 50 n_consecutive_deviations 5,311,44,50,5,0.2510697057404727,0,None,i7186,919,1.4962878192310206e-05 1727660741,1727661578,837,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 310 n_permutations 42 update_interval 50 n_consecutive_deviations 5,310,42,50,5,0.25237940183309215,0,None,i7181,830,1.4691961466978531e-05 1727660991,1727661627,636,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 100 n_permutations 49 update_interval 150 n_consecutive_deviations 4,100,49,150,4,0.2797467438494935,0,None,i7181,630,3.699548623566238e-05 1727660971,1727661651,680,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 100 n_permutations 50 update_interval 250 n_consecutive_deviations 5,100,50,250,5,0.29276652194886643,0,None,i7186,672,6.535228236878065e-05 1727660811,1727661725,914,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 314 n_permutations 40 update_interval 50 n_consecutive_deviations 4,314,40,50,4,0.24949228171731785,0,None,i7186,907,1.4527745034049643e-05 1727660951,1727661796,845,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 315 n_permutations 27 update_interval 50 n_consecutive_deviations 5,315,27,50,5,0.2500084418716836,0,None,i7181,839,1.5633541686957656e-05 1727660891,1727661802,911,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 312 n_permutations 45 update_interval 50 n_consecutive_deviations 5,312,45,50,5,0.25018692715870716,0,None,i7186,904,1.5182156202824133e-05 1727660951,1727661826,875,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 371 n_permutations 10 update_interval 122 n_consecutive_deviations 5,371,10,122,5,0.2654052098408104,0,None,i7186,868,2.8796395423924575e-05 1727661251,1727661919,668,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 100 n_permutations 50 update_interval 210 n_consecutive_deviations 5,100,50,210,5,0.28699951760733233,0,None,i7186,661,5.599999347015002e-05 1727661231,1727661937,706,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 147 n_permutations 21 update_interval 250 n_consecutive_deviations 4,147,21,250,4,0.2939749155812832,0,None,i7186,698,6.122157283345347e-05 1727661404,1727662004,600,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 126 n_permutations 40 update_interval 250 n_consecutive_deviations 5,126,40,250,5,0.2923697539797395,0,None,i7174,593,6.366635217758691e-05 1727661251,1727662045,794,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 354 n_permutations 10 update_interval 193 n_consecutive_deviations 5,354,10,193,5,0.2843005306319344,0,None,i7181,787,4.8801952374430975e-05 1727661163,1727662066,903,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 313 n_permutations 40 update_interval 50 n_consecutive_deviations 4,313,40,50,4,0.25028822961890984,0,None,i7186,896,1.4277386199014023e-05 1727661392,1727662117,725,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 337 n_permutations 14 update_interval 235 n_consecutive_deviations 5,337,14,235,5,0.28818379160636753,0,None,i7174,718,6.275465031580427e-05 1727661312,1727662122,810,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 338 n_permutations 10 update_interval 250 n_consecutive_deviations 5,338,10,250,5,0.29016160154365656,0,None,i7186,803,6.924332012510824e-05 1727661332,1727662167,835,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 337 n_permutations 13 update_interval 239 n_consecutive_deviations 5,337,13,239,5,0.28896285576459235,0,None,i7186,828,6.459780546855029e-05 1727661345,1727662172,827,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 376 n_permutations 10 update_interval 229 n_consecutive_deviations 5,376,10,229,5,0.29167149059334296,0,None,i7181,821,5.732396142350246e-05 1727661472,1727662242,770,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 314 n_permutations 49 update_interval 50 n_consecutive_deviations 5,314,49,50,5,0.25023637240713936,0,None,i7174,763,1.5533439218045013e-05 1727661451,1727662284,833,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 392 n_permutations 31 update_interval 97 n_consecutive_deviations 5,392,31,97,5,0.26339363241678726,0,None,i7181,826,2.324412263007288e-05 1727661539,1727662347,808,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 311 n_permutations 50 update_interval 50 n_consecutive_deviations 5,311,50,50,5,0.2510853835021708,0,None,i7181,802,1.4961018494158232e-05 1727661599,1727662419,820,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 342 n_permutations 50 update_interval 242 n_consecutive_deviations 1,342,50,242,1,0.2893342981186686,0,None,i7186,812,5.619445637777879e-05 1727661620,1727662464,844,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 312 n_permutations 31 update_interval 50 n_consecutive_deviations 4,312,31,50,4,0.25103111432706227,0,None,i7181,837,1.416875949680877e-05 1727661677,1727662528,851,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 349 n_permutations 29 update_interval 227 n_consecutive_deviations 3,349,29,227,3,0.2903569705740473,0,None,i7186,843,5.3952982286210746e-05 1727661720,1727662610,890,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 351 n_permutations 40 update_interval 50 n_consecutive_deviations 1,351,40,50,1,0.2587940183309214,0,None,i7181,883,1.0075050090745815e-05 1727661780,1727662686,906,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 309 n_permutations 37 update_interval 50 n_consecutive_deviations 5,309,37,50,5,0.25302580800771823,0,None,i7186,898,1.4503941457342742e-05 1727661886,1727662687,801,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 318 n_permutations 48 update_interval 250 n_consecutive_deviations 3,318,48,250,3,0.2855487216594308,0,None,i7186,794,6.40483154829457e-05 1727661909,1727662732,823,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 306 n_permutations 30 update_interval 51 n_consecutive_deviations 5,306,30,51,5,0.2543330921369995,0,None,i7181,815,1.4560781118765045e-05 1727661866,1727662752,886,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 372 n_permutations 50 update_interval 120 n_consecutive_deviations 5,372,50,120,5,0.2656584659913169,0,None,i7186,879,2.8197615897599012e-05 1727662042,1727662805,763,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 314 n_permutations 39 update_interval 50 n_consecutive_deviations 5,314,39,50,5,0.25027375783888084,0,None,i7174,756,1.5533828524589697e-05 1727661969,1727662879,910,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 334 n_permutations 27 update_interval 64 n_consecutive_deviations 4,334,27,64,4,0.2561336227689339,0,None,i7186,903,1.6191249664249565e-05 1727662010,1727662929,919,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 315 n_permutations 38 update_interval 50 n_consecutive_deviations 5,315,38,50,5,0.24994211287988422,0,None,i7186,911,1.563171074782461e-05 1727662082,1727663019,937,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 313 n_permutations 40 update_interval 50 n_consecutive_deviations 4,313,40,50,4,0.25029546550892423,0,None,i7186,930,1.4279323190422353e-05 1727662131,1727663060,929,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 296 n_permutations 50 update_interval 50 n_consecutive_deviations 5,296,50,50,5,0.2583212735166426,0,None,i7186,922,1.4236331466205224e-05 1727662252,1727663079,827,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 311 n_permutations 40 update_interval 50 n_consecutive_deviations 5,311,40,50,5,0.2510865894838399,0,None,i7181,819,1.4962799850404954e-05 1727662217,1727663154,937,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 313 n_permutations 39 update_interval 50 n_consecutive_deviations 4,313,39,50,4,0.2503051133622769,0,None,i7186,929,1.4277839442859886e-05 1727662337,1727663167,830,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 313 n_permutations 40 update_interval 50 n_consecutive_deviations 4,313,40,50,4,0.2503111432706223,0,None,i7181,824,1.4277050823086353e-05 1727662157,1727663184,1027,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 584 n_permutations 50 update_interval 50 n_consecutive_deviations 1,584,50,50,1,0.2573118668596237,0,None,i7181,1019,1.074923585455859e-05 1727662285,1727663198,913,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 599 n_permutations 37 update_interval 76 n_consecutive_deviations 3,599,37,76,3,0.26281958514230586,0,None,i7174,907,1.7150716852929593e-05 1727662397,1727663203,806,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 313 n_permutations 40 update_interval 50 n_consecutive_deviations 4,313,40,50,4,0.2503051133622769,0,None,i7181,799,1.4277839442859886e-05 1727662498,1727663298,800,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 221 n_permutations 10 update_interval 58 n_consecutive_deviations 2,221,10,58,2,0.2660504100337675,0,None,i7181,794,1.2027789629576576e-05 1727662458,1727663383,925,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 314 n_permutations 43 update_interval 50 n_consecutive_deviations 5,314,43,50,5,0.2502399903521466,0,None,i7186,916,1.5534598819812107e-05 1727662559,1727663505,946,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 321 n_permutations 20 update_interval 51 n_consecutive_deviations 5,321,20,51,5,0.2517679691268693,0,None,i7186,939,1.5877189988252243e-05 1727662646,1727663599,953,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 542 n_permutations 32 update_interval 54 n_consecutive_deviations 5,542,32,54,5,0.2649734684032803,0,None,i7181,946,1.6356332450425777e-05 1727662857,1727663710,853,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 315 n_permutations 42 update_interval 50 n_consecutive_deviations 4,315,42,50,4,0.25029546550892423,0,None,i7181,845,1.453389783401173e-05 1727662840,1727663773,933,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 316 n_permutations 42 update_interval 50 n_consecutive_deviations 4,316,42,50,4,0.2509286058851905,0,None,i7186,926,1.4541059115357097e-05 1727662779,1727663862,1083,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 566 n_permutations 40 update_interval 57 n_consecutive_deviations 4,566,40,57,4,0.25957067052580796,0,None,i7186,1075,1.5546298030196113e-05 1727662797,1727663873,1076,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 564 n_permutations 37 update_interval 58 n_consecutive_deviations 5,564,37,58,5,0.26116859623733724,0,None,i7186,1069,1.6901510316370524e-05 1727663008,1727663938,930,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 563 n_permutations 50 update_interval 56 n_consecutive_deviations 2,563,50,56,2,0.2609286058851905,0,None,i7174,923,1.2986246431118046e-05 1727662900,1727664032,1132,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 586 n_permutations 50 update_interval 50 n_consecutive_deviations 5,586,50,50,5,0.25769175108538345,0,None,i7186,1125,1.545682718081927e-05 1727662960,1727664075,1115,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 569 n_permutations 42 update_interval 56 n_consecutive_deviations 3,569,42,56,3,0.2589351181862035,0,None,i7186,1108,1.4194052377232365e-05 1727663098,1727664172,1074,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 560 n_permutations 30 update_interval 59 n_consecutive_deviations 5,560,30,59,5,0.2626543656536421,0,None,i7186,1066,1.7036110153542237e-05 1727663309,1727664286,977,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 594 n_permutations 19 update_interval 94 n_consecutive_deviations 4,594,19,94,4,0.26372045344910755,0,None,i7181,970,2.2040755697287918e-05 1727663380,1727664314,934,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 542 n_permutations 32 update_interval 54 n_consecutive_deviations 5,542,32,54,5,0.2649638205499276,0,None,i7181,927,1.6356779503544385e-05 1727663320,1727664318,998,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 591 n_permutations 20 update_interval 52 n_consecutive_deviations 3,591,20,52,3,0.2575265315967197,0,None,i7181,992,1.3442971334447236e-05 1727663189,1727664322,1133,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 564 n_permutations 44 update_interval 57 n_consecutive_deviations 2,564,44,57,2,0.26147853352629036,0,None,i7186,1126,1.3117008701829804e-05 1727663339,1727664330,991,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 565 n_permutations 50 update_interval 57 n_consecutive_deviations 1,565,50,57,1,0.26074167872648335,0,None,i7181,984,1.1837026982882749e-05 1727663200,1727664342,1142,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 573 n_permutations 50 update_interval 58 n_consecutive_deviations 2,573,50,58,2,0.2583405692233478,0,None,i7186,1135,1.324660784560819e-05 1727663300,1727664360,1060,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 582 n_permutations 26 update_interval 59 n_consecutive_deviations 1,582,26,59,1,0.2577291365171249,0,None,i7181,1050,1.2070039956401207e-05 1727663669,1727664499,830,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 316 n_permutations 35 update_interval 50 n_consecutive_deviations 5,316,35,50,5,0.250582489146165,0,None,i7181,819,1.567776169802219e-05 1727663444,1727664602,1158,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 570 n_permutations 50 update_interval 55 n_consecutive_deviations 1,570,50,55,1,0.2591907863000482,0,None,i7186,1150,1.1535229011506358e-05 1727663551,1727664669,1118,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 598 n_permutations 31 update_interval 72 n_consecutive_deviations 3,598,31,72,3,0.26163531114327065,0,None,i7186,1111,1.6486566782614553e-05 1727663758,1727664754,996,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 561 n_permutations 44 update_interval 58 n_consecutive_deviations 2,561,44,58,2,0.26230824891461646,0,None,i7181,989,1.3243882851765193e-05 1727663997,1727664909,912,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 560 n_permutations 30 update_interval 59 n_consecutive_deviations 5,560,30,59,5,0.26266401350699464,0,None,i7174,902,1.7033197445175912e-05 1727663818,1727664934,1116,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 588 n_permutations 33 update_interval 51 n_consecutive_deviations 4,588,33,51,4,0.25705258080077187,0,None,i7186,1108,1.4442052749705765e-05 1727663914,1727664988,1074,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 568 n_permutations 15 update_interval 64 n_consecutive_deviations 5,568,15,64,5,0.2610986493005306,0,None,i7186,1067,1.781453822461004e-05 1727664117,1727665025,908,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 328 n_permutations 13 update_interval 61 n_consecutive_deviations 5,328,13,61,5,0.25379160636758324,0,None,i7186,901,1.7292742896069886e-05 1727663957,1727665055,1098,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 574 n_permutations 18 update_interval 53 n_consecutive_deviations 4,574,18,53,4,0.2574698504582731,0,None,i7186,1090,1.485942409553363e-05 1727664077,1727665164,1087,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 562 n_permutations 28 update_interval 60 n_consecutive_deviations 5,562,28,60,5,0.2627026049204052,0,None,i7186,1079,1.7183751286423224e-05 1727664338,1727665247,909,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 316 n_permutations 34 update_interval 50 n_consecutive_deviations 5,316,34,50,5,0.250582489146165,0,None,i7186,902,1.567776169802219e-05 1727664205,1727665257,1052,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 631 n_permutations 50 update_interval 160 n_consecutive_deviations 5,631,50,160,5,0.27597563917028456,0,None,i7186,1045,3.665421648934988e-05 1727664489,1727665316,827,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 316 n_permutations 34 update_interval 50 n_consecutive_deviations 5,316,34,50,5,0.2505909310178486,0,None,i7181,820,1.567740144232793e-05 1727664469,1727665330,861,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 304 n_permutations 43 update_interval 53 n_consecutive_deviations 3,304,43,53,3,0.2538145200192957,0,None,i7181,854,1.2845978727788593e-05 1727664449,1727665379,930,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 316 n_permutations 34 update_interval 50 n_consecutive_deviations 5,316,34,50,5,0.25058369512783407,0,None,i7186,922,1.567771023292301e-05 1727664589,1727665392,803,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 308 n_permutations 29 update_interval 51 n_consecutive_deviations 4,308,29,51,4,0.2532501205981669,0,None,i7181,797,1.3634504408305062e-05 1727664488,1727665427,939,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 637 n_permutations 50 update_interval 215 n_consecutive_deviations 5,637,50,215,5,0.2833996623251327,0,None,i7181,931,5.058358280779956e-05 1727664509,1727665487,978,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 605 n_permutations 40 update_interval 135 n_consecutive_deviations 5,605,40,135,5,0.2695453449107573,0,None,i7181,971,3.1705717909287616e-05 1727664549,1727665501,952,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 615 n_permutations 39 update_interval 81 n_consecutive_deviations 5,615,39,81,5,0.26491196333815725,0,None,i7181,945,2.0376746835839878e-05 1727664714,1727665647,933,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 316 n_permutations 34 update_interval 50 n_consecutive_deviations 5,316,34,50,5,0.25052821997105645,0,None,i7186,926,1.5679408510918432e-05 1727664649,1727665677,1028,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 577 n_permutations 27 update_interval 96 n_consecutive_deviations 5,577,27,96,5,0.2630282199710564,0,None,i7186,1020,2.3888225807299944e-05 1727664797,1727665781,984,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 613 n_permutations 35 update_interval 149 n_consecutive_deviations 5,613,35,149,5,0.2709008683068017,0,None,i7181,977,3.468158396213823e-05 1727665137,1727665868,731,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 316 n_permutations 36 update_interval 50 n_consecutive_deviations 5,316,36,50,5,0.25058490110950316,0,None,i7174,719,1.567765876782383e-05 1727664994,1727665996,1002,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 575 n_permutations 39 update_interval 127 n_consecutive_deviations 5,575,39,127,5,0.2684913169319826,0,None,i7186,995,3.025698373021094e-05 1727665093,1727666031,938,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 315 n_permutations 10 update_interval 50 n_consecutive_deviations 4,315,10,50,4,0.2502629040038591,0,None,i7186,931,1.454150814727754e-05 1727664954,1727666113,1159,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 629 n_permutations 14 update_interval 57 n_consecutive_deviations 1,629,14,57,1,0.2617679691268693,0,None,i7186,1152,1.1791297334780511e-05 1727665054,1727666122,1068,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 633 n_permutations 50 update_interval 167 n_consecutive_deviations 3,633,50,167,3,0.2750096478533526,0,None,i7186,1060,3.580225818588228e-05 1727665208,1727666151,943,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 314 n_permutations 10 update_interval 50 n_consecutive_deviations 3,314,10,50,3,0.25000241196333817,0,None,i7186,932,1.3279813304914854e-05 1727665555,1727666188,633,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 138 n_permutations 31 update_interval 144 n_consecutive_deviations 5,138,31,144,5,0.27808248914616496,0,None,i7181,626,3.4134477239103544e-05 1727665545,1727666210,665,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 138 n_permutations 31 update_interval 144 n_consecutive_deviations 5,138,31,144,5,0.2780861070911722,0,None,i7181,658,3.4134113882168e-05 1727665455,1727666278,823,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 317 n_permutations 50 update_interval 50 n_consecutive_deviations 5,317,50,50,5,0.2505752532561505,0,None,i7181,816,1.5687442920695523e-05 1727665365,1727666301,936,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 310 n_permutations 26 update_interval 50 n_consecutive_deviations 4,310,26,50,4,0.25237095996140857,0,None,i7186,928,1.3771368480600837e-05 1727665435,1727666327,892,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 144 n_permutations 50 update_interval 50 n_consecutive_deviations 1,144,50,50,1,0.2605342498794019,0,None,i7186,884,1.0127655818217078e-05 1727665305,1727666340,1035,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 575 n_permutations 40 update_interval 131 n_consecutive_deviations 5,575,40,131,5,0.2685335262904004,0,None,i7186,1028,3.11931755691411e-05 1727665535,1727666376,841,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 321 n_permutations 45 update_interval 50 n_consecutive_deviations 4,321,45,50,4,0.2520935841775205,0,None,i7181,834,1.4561826660234765e-05 1727665615,1727666381,766,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 188 n_permutations 50 update_interval 50 n_consecutive_deviations 2,188,50,50,2,0.2631934394597202,0,None,i7181,759,1.1021686328948638e-05 1727665696,1727666485,789,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 138 n_permutations 45 update_interval 100 n_consecutive_deviations 2,138,45,100,2,0.2728316449589966,0,None,i7186,782,2.0037612288488294e-05 1727665635,1727666488,853,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 323 n_permutations 23 update_interval 55 n_consecutive_deviations 1,323,23,55,1,0.2574107573564882,0,None,i7181,845,1.1301759189374671e-05 1727665916,1727666518,602,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 137 n_permutations 25 update_interval 131 n_consecutive_deviations 4,137,25,131,4,0.27815484804630974,0,None,i7174,596,2.982050293721889e-05 1727665836,1727666624,788,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 141 n_permutations 10 update_interval 50 n_consecutive_deviations 1,141,10,50,1,0.2610914134105161,0,None,i7181,781,1.01556080138134e-05 1727665756,1727666702,946,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 315 n_permutations 10 update_interval 50 n_consecutive_deviations 4,315,10,50,4,0.2502629040038591,0,None,i7186,939,1.454150814727754e-05 1727666059,1727666820,761,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 145 n_permutations 50 update_interval 88 n_consecutive_deviations 5,145,50,88,5,0.2673191027496382,0,None,i7186,754,2.107467101011424e-05 1727666241,1727666984,743,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 136 n_permutations 50 update_interval 125 n_consecutive_deviations 3,136,50,125,3,0.2776398938736131,0,None,i7186,737,2.7022358674154826e-05 1727666262,1727667044,782,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 127 n_permutations 46 update_interval 94 n_consecutive_deviations 1,127,46,94,1,0.2704184756391703,0,None,i7186,775,1.7963560416434003e-05 1727666101,1727667048,947,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 316 n_permutations 34 update_interval 50 n_consecutive_deviations 4,316,34,50,4,0.2508924264351182,0,None,i7186,939,1.4543644858385861e-05 1727666180,1727667070,890,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 151 n_permutations 44 update_interval 50 n_consecutive_deviations 3,151,44,50,3,0.26196333815726003,0,None,i7186,882,1.2239432746292338e-05 1727666342,1727667215,873,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 115 n_permutations 28 update_interval 50 n_consecutive_deviations 1,115,28,50,1,0.2617390255668114,0,None,i7186,866,1.0465683034612557e-05 1727666322,1727667266,944,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 315 n_permutations 31 update_interval 50 n_consecutive_deviations 4,315,31,50,4,0.2502568740955138,0,None,i7186,937,1.453484879913057e-05 1727666477,1727667286,809,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 315 n_permutations 10 update_interval 50 n_consecutive_deviations 5,315,10,50,5,0.24995658465991322,0,None,i7181,802,1.5638402785823803e-05 1727666477,1727667290,813,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 316 n_permutations 33 update_interval 50 n_consecutive_deviations 4,316,33,50,4,0.25088880849011097,0,None,i7181,807,1.4543788205785015e-05 1727666453,1727667395,942,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 293 n_permutations 50 update_interval 52 n_consecutive_deviations 3,293,50,52,3,0.2578424987940183,0,None,i7186,935,1.267526592594068e-05 1727666618,1727667460,842,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 315 n_permutations 10 update_interval 50 n_consecutive_deviations 4,315,10,50,4,0.2502629040038591,0,None,i7181,835,1.454150814727754e-05 1727666658,1727667513,855,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 316 n_permutations 10 update_interval 50 n_consecutive_deviations 5,316,10,50,5,0.2506307284129281,0,None,i7181,848,1.5683734708295584e-05 1727666698,1727667540,842,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 316 n_permutations 33 update_interval 50 n_consecutive_deviations 4,316,33,50,4,0.2508948383984564,0,None,i7181,835,1.4543549293453092e-05 1727666578,1727667617,1039,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 754 n_permutations 12 update_interval 245 n_consecutive_deviations 2,754,12,245,2,0.28420284611673907,0,None,i7181,1033,5.274283073628001e-05 1727666497,1727667674,1177,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 798 n_permutations 50 update_interval 149 n_consecutive_deviations 1,798,50,149,1,0.2737168355041003,0,None,i7186,1169,2.84145805622632e-05 1727666756,1727667677,921,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 316 n_permutations 32 update_interval 50 n_consecutive_deviations 4,316,32,50,4,0.25089725036179455,0,None,i7186,914,1.4543453728520323e-05 1727666598,1727667679,1081,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 770 n_permutations 24 update_interval 220 n_consecutive_deviations 1,770,24,220,1,0.2805185721177038,0,None,i7181,1074,4.3462249729290976e-05 1727666877,1727667984,1107,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 770 n_permutations 24 update_interval 220 n_consecutive_deviations 1,770,24,220,1,0.28047877472262417,0,None,i7186,1100,4.346177775831227e-05 1727667131,1727668024,893,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 292 n_permutations 40 update_interval 52 n_consecutive_deviations 4,292,40,52,4,0.2593970091654607,0,None,i7186,886,1.3640815257188552e-05 1727667051,1727668160,1109,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 771 n_permutations 26 update_interval 219 n_consecutive_deviations 1,771,26,219,1,0.2819295706705258,0,None,i7186,1101,4.2992567597926455e-05 1727667119,1727668275,1156,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 784 n_permutations 34 update_interval 174 n_consecutive_deviations 1,784,34,174,1,0.2765207428847082,0,None,i7186,1149,3.355663254360794e-05 1727667437,1727668335,898,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 316 n_permutations 50 update_interval 50 n_consecutive_deviations 5,316,50,50,5,0.2505619874577907,0,None,i7186,890,1.567596072697565e-05 1727667497,1727668342,845,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 316 n_permutations 43 update_interval 50 n_consecutive_deviations 5,316,43,50,5,0.2505330438977328,0,None,i7181,837,1.567786461504464e-05 1727667537,1727668371,834,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 328 n_permutations 43 update_interval 56 n_consecutive_deviations 5,328,43,56,5,0.25372768933912204,0,None,i7181,827,1.646096577379658e-05 1727667385,1727668411,1026,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 759 n_permutations 22 update_interval 250 n_consecutive_deviations 2,759,22,250,2,0.28287747226242166,0,None,i7181,1019,5.345915870349351e-05 1727667178,1727668426,1248,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 829 n_permutations 26 update_interval 63 n_consecutive_deviations 3,829,26,63,3,0.26164978292329955,0,None,i7186,1241,1.6057942948876444e-05 1727667298,1727668436,1138,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 777 n_permutations 11 update_interval 223 n_consecutive_deviations 4,777,11,223,4,0.28198263386396527,0,None,i7186,1131,4.9627303567496855e-05 1727667365,1727668519,1154,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 790 n_permutations 10 update_interval 124 n_consecutive_deviations 5,790,10,124,5,0.2687252773757839,0,None,i7186,1146,2.98695006534498e-05 1727667694,1727668609,915,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 315 n_permutations 31 update_interval 50 n_consecutive_deviations 5,315,31,50,5,0.25001085383502175,0,None,i7186,908,1.563277500025055e-05 1727667832,1727668617,785,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 315 n_permutations 11 update_interval 50 n_consecutive_deviations 4,315,11,50,4,0.2502629040038591,0,None,i7181,778,1.454150814727754e-05 1727667812,1727668661,849,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 316 n_permutations 50 update_interval 50 n_consecutive_deviations 5,316,50,50,5,0.2505330438977328,0,None,i7181,842,1.567786461504464e-05 1727667663,1727668676,1013,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 788 n_permutations 39 update_interval 192 n_consecutive_deviations 1,788,39,192,1,0.2770031355523396,0,None,i7181,1007,3.7397865905843963e-05 1727667792,1727668699,907,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 316 n_permutations 40 update_interval 50 n_consecutive_deviations 5,316,40,50,5,0.25053424987940187,0,None,i7186,900,1.5677813156533413e-05 1727667633,1727668715,1082,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 777 n_permutations 10 update_interval 207 n_consecutive_deviations 1,777,10,207,1,0.27975036179450075,0,None,i7181,1075,4.0378356879347924e-05 1727668048,1727668972,924,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 315 n_permutations 10 update_interval 50 n_consecutive_deviations 4,315,10,50,4,0.25027978774722626,0,None,i7186,916,1.454141551388937e-05 1727668108,1727669083,975,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 332 n_permutations 50 update_interval 52 n_consecutive_deviations 3,332,50,52,3,0.25615894838398456,0,None,i7186,968,1.3255194381093035e-05 1727668208,1727669095,887,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 317 n_permutations 50 update_interval 90 n_consecutive_deviations 3,317,50,90,3,0.2543427399903522,0,None,i7186,880,2.0510872011821233e-05 1727668329,1727669264,935,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 315 n_permutations 32 update_interval 50 n_consecutive_deviations 5,315,32,50,5,0.2499794983116257,0,None,i7186,928,1.563277882256227e-05 1727668449,1727669381,932,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 315 n_permutations 31 update_interval 50 n_consecutive_deviations 5,315,31,50,5,0.2499794983116257,0,None,i7186,925,1.563277882256227e-05 1727668429,1727669393,964,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 315 n_permutations 10 update_interval 50 n_consecutive_deviations 4,315,10,50,4,0.2502677279305354,0,None,i7186,957,1.454074232156379e-05 1727668600,1727669444,844,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 314 n_permutations 10 update_interval 50 n_consecutive_deviations 3,314,10,50,3,0.250015677761698,0,None,i7181,836,1.328077246902079e-05 1727668609,1727669445,836,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 319 n_permutations 10 update_interval 51 n_consecutive_deviations 4,319,10,51,4,0.25036661842739993,0,None,i7181,830,1.4765137395104395e-05 1727668589,1727669534,945,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 315 n_permutations 31 update_interval 50 n_consecutive_deviations 5,315,31,50,5,0.25000482392667633,0,None,i7186,938,1.563369540657897e-05 1727668569,1727669538,969,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 313 n_permutations 22 update_interval 65 n_consecutive_deviations 1,313,22,65,1,0.2552267245537868,0,None,i7186,962,1.285055990583952e-05 1727668721,1727669668,947,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 316 n_permutations 31 update_interval 50 n_consecutive_deviations 5,316,31,50,5,0.25060660877954655,0,None,i7186,940,1.5677401426953414e-05 1727668888,1727669704,816,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 316 n_permutations 50 update_interval 85 n_consecutive_deviations 4,316,50,85,4,0.2530342498794018,0,None,i7181,809,2.0813621692609203e-05 1727668689,1727669716,1027,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 336 n_permutations 31 update_interval 50 n_consecutive_deviations 2,336,31,50,2,0.2576181862035697,0,None,i7186,1020,1.1658889339384258e-05 1727668868,1727669758,890,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 333 n_permutations 28 update_interval 51 n_consecutive_deviations 3,333,28,51,3,0.25698142788229617,0,None,i7181,883,1.3055264055465562e-05 1727668908,1727669790,882,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 314 n_permutations 10 update_interval 54 n_consecutive_deviations 2,314,10,54,2,0.2525542691751086,0,None,i7181,875,1.2595836257870057e-05 1727668902,1727669795,893,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 332 n_permutations 24 update_interval 50 n_consecutive_deviations 3,332,24,50,3,0.255965991316932,0,None,i7181,886,1.296863424565568e-05 1727668928,1727669796,868,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 314 n_permutations 10 update_interval 58 n_consecutive_deviations 1,314,10,58,1,0.2534961408586589,0,None,i7181,862,1.1829384555574816e-05 1727669048,1727670014,966,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 312 n_permutations 25 update_interval 54 n_consecutive_deviations 2,312,25,54,2,0.2539013506994694,0,None,i7186,959,1.246176929952932e-05 1727669144,1727670107,963,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 315 n_permutations 29 update_interval 50 n_consecutive_deviations 4,315,29,50,4,0.25024481427882295,0,None,i7186,955,1.4535325509411653e-05 1727669205,1727670160,955,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 310 n_permutations 43 update_interval 79 n_consecutive_deviations 1,310,43,79,1,0.2555547515677762,0,None,i7186,947,1.5375677872216493e-05 1727669338,1727670280,942,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 310 n_permutations 45 update_interval 82 n_consecutive_deviations 1,310,45,82,1,0.256702846116739,0,None,i7186,934,1.5978443668414346e-05 1727669477,1727670446,969,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 315 n_permutations 10 update_interval 50 n_consecutive_deviations 4,315,10,50,4,0.2502629040038591,0,None,i7186,962,1.454150814727754e-05 1727669498,1727670471,973,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 331 n_permutations 13 update_interval 53 n_consecutive_deviations 4,331,13,53,4,0.25555836951278343,0,None,i7186,966,1.4630055690248093e-05 1727669623,1727670566,943,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 311 n_permutations 42 update_interval 84 n_consecutive_deviations 1,311,42,84,1,0.2565171249397009,0,None,i7186,935,1.6480136516333124e-05 1727669603,1727670567,964,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 315 n_permutations 27 update_interval 50 n_consecutive_deviations 4,315,27,50,4,0.2502701398938736,0,None,i7186,957,1.453489896517553e-05 1727669713,1727670671,958,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 315 n_permutations 26 update_interval 50 n_consecutive_deviations 4,315,26,50,4,0.2502701398938736,0,None,i7186,951,1.453489896517553e-05 1727669840,1727670697,857,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 313 n_permutations 18 update_interval 51 n_consecutive_deviations 3,313,18,51,3,0.25080438977327546,0,None,i7181,849,1.3310919379423686e-05 1727669870,1727670699,829,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 315 n_permutations 10 update_interval 50 n_consecutive_deviations 4,315,10,50,4,0.25027978774722626,0,None,i7181,823,1.454141551388937e-05 1727669873,1727670713,840,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 315 n_permutations 10 update_interval 50 n_consecutive_deviations 4,315,10,50,4,0.2502629040038591,0,None,i7181,833,1.454150814727754e-05 1727669733,1727670755,1022,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 314 n_permutations 10 update_interval 58 n_consecutive_deviations 1,314,10,58,1,0.2534961408586589,0,None,i7186,1015,1.1829384555574816e-05 1727670003,1727670860,857,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 313 n_permutations 20 update_interval 52 n_consecutive_deviations 3,313,20,52,3,0.2513048721659431,0,None,i7181,851,1.3433031941746689e-05 1727670043,1727670874,831,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 315 n_permutations 26 update_interval 50 n_consecutive_deviations 4,315,26,50,4,0.25026652194886634,0,None,i7181,825,1.4535041983913217e-05 1727670052,1727670901,849,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 315 n_permutations 26 update_interval 50 n_consecutive_deviations 4,315,26,50,4,0.2502701398938736,0,None,i7181,843,1.453489896517553e-05 1727670104,1727670935,831,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 315 n_permutations 10 update_interval 50 n_consecutive_deviations 4,315,10,50,4,0.2502629040038591,0,None,i7181,824,1.454150814727754e-05 1727670022,1727670957,935,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 315 n_permutations 27 update_interval 50 n_consecutive_deviations 5,315,27,50,5,0.25000361794500725,0,None,i7186,929,1.563374664645274e-05 1727670174,1727671122,948,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 315 n_permutations 10 update_interval 50 n_consecutive_deviations 4,315,10,50,4,0.2502629040038591,0,None,i7186,941,1.454150814727754e-05 1727670234,1727671177,943,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 315 n_permutations 10 update_interval 50 n_consecutive_deviations 4,315,10,50,4,0.2502629040038591,0,None,i7186,936,1.454150814727754e-05 1727670356,1727671305,949,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 316 n_permutations 34 update_interval 50 n_consecutive_deviations 5,316,34,50,5,0.25053666184274004,0,None,i7186,942,1.5679048270597375e-05 1727670507,1727671467,960,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 315 n_permutations 10 update_interval 50 n_consecutive_deviations 4,315,10,50,4,0.25027978774722626,0,None,i7186,951,1.454141551388937e-05 1727670590,1727671532,942,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 308 n_permutations 10 update_interval 50 n_consecutive_deviations 5,308,10,50,5,0.2532332368547998,0,None,i7186,934,1.4437170651194203e-05 1727670679,1727671560,881,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 321 n_permutations 10 update_interval 96 n_consecutive_deviations 5,321,10,96,5,0.2561770381090207,0,None,i7186,874,2.4279071264136518e-05 1727670659,1727671651,992,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 314 n_permutations 11 update_interval 58 n_consecutive_deviations 1,314,11,58,1,0.25349252291365176,0,None,i7186,985,1.1829118045576814e-05 1727670899,1727671687,788,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 326 n_permutations 22 update_interval 71 n_consecutive_deviations 4,326,22,71,4,0.25669078630004827,0,None,i7181,781,1.7707513612188545e-05 1727670739,1727671687,948,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 315 n_permutations 10 update_interval 50 n_consecutive_deviations 4,315,10,50,4,0.25025928605885195,0,None,i7186,941,1.454165122823171e-05 1727670871,1727671706,835,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 315 n_permutations 26 update_interval 50 n_consecutive_deviations 5,315,26,50,5,0.24999879401833092,0,None,i7181,828,1.5633951605947827e-05 1727670859,1727671819,960,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 315 n_permutations 27 update_interval 50 n_consecutive_deviations 5,315,27,50,5,0.25000964785335267,0,None,i7186,952,1.5632826237947328e-05 1727671040,1727671849,809,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 315 n_permutations 27 update_interval 50 n_consecutive_deviations 5,315,27,50,5,0.25000361794500725,0,None,i7181,803,1.563374664645274e-05 1727671039,1727671864,825,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 316 n_permutations 22 update_interval 50 n_consecutive_deviations 5,316,22,50,5,0.25061263868789196,0,None,i7181,818,1.568049004687015e-05 1727671020,1727671979,959,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 315 n_permutations 10 update_interval 50 n_consecutive_deviations 4,315,10,50,4,0.2502629040038591,0,None,i7186,951,1.454150814727754e-05 1727671179,1727672004,825,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 315 n_permutations 10 update_interval 50 n_consecutive_deviations 4,315,10,50,4,0.2502629040038591,0,None,i7181,817,1.454150814727754e-05 1727671280,1727672112,832,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 315 n_permutations 10 update_interval 50 n_consecutive_deviations 4,315,10,50,4,0.2502629040038591,0,None,i7181,826,1.454150814727754e-05 1727671173,1727672125,952,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 315 n_permutations 27 update_interval 50 n_consecutive_deviations 5,315,27,50,5,0.24999155812831642,0,None,i7186,945,1.5634259045190456e-05 1727671293,1727672140,847,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 314 n_permutations 10 update_interval 58 n_consecutive_deviations 1,314,10,58,1,0.2535021707670043,0,None,i7181,841,1.1829956772556305e-05 1727671200,1727672201,1001,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 314 n_permutations 10 update_interval 58 n_consecutive_deviations 1,314,10,58,1,0.253497346840328,0,None,i7186,994,1.1828961480496932e-05 1727671380,1727672333,953,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 321 n_permutations 31 update_interval 52 n_consecutive_deviations 4,321,31,52,4,0.25236493005306315,0,None,i7186,946,1.4843465244127317e-05 1727671536,1727672493,957,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 315 n_permutations 27 update_interval 50 n_consecutive_deviations 5,315,27,50,5,0.25000482392667633,0,None,i7186,950,1.563369540657897e-05 1727671618,1727672590,972,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 316 n_permutations 10 update_interval 50 n_consecutive_deviations 4,316,10,50,4,0.2509165460684998,0,None,i7186,965,1.4547300263462375e-05 1727671676,1727672681,1005,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 316 n_permutations 12 update_interval 54 n_consecutive_deviations 1,316,12,54,1,0.252147853352629,0,None,i7186,998,1.1332103270136921e-05 1727671736,1727672724,988,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 315 n_permutations 10 update_interval 57 n_consecutive_deviations 1,315,10,57,1,0.25268330921369997,0,None,i7186,981,1.1749370188884138e-05 1727671897,1727672729,832,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 321 n_permutations 10 update_interval 69 n_consecutive_deviations 3,321,10,69,3,0.2538639652677279,0,None,i7181,825,1.6393314441611482e-05 1727671867,1727672817,950,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 316 n_permutations 10 update_interval 50 n_consecutive_deviations 4,316,10,50,4,0.25091051616015436,0,None,i7186,943,1.454523332101306e-05 1727671863,1727672860,997,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 316 n_permutations 12 update_interval 60 n_consecutive_deviations 1,316,12,60,1,0.25255065123010134,0,None,i7186,990,1.22222573430718e-05 1727672004,1727672938,934,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 310 n_permutations 10 update_interval 54 n_consecutive_deviations 3,310,10,54,3,0.25362879884225764,0,None,i7186,927,1.3339582607412908e-05 1727672044,1727673117,1073,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 689 n_permutations 20 update_interval 56 n_consecutive_deviations 2,689,20,56,2,0.26001808972503615,0,None,i7181,1067,1.3281191395157241e-05 1727672044,1727673148,1104,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 710 n_permutations 10 update_interval 50 n_consecutive_deviations 1,710,10,50,1,0.2568584177520502,0,None,i7181,1097,1.12202424032523e-05 1727672169,1727673262,1093,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 730 n_permutations 50 update_interval 52 n_consecutive_deviations 3,730,50,52,3,0.2580788712011577,0,None,i7181,1086,1.4188078368411641e-05 1727672156,1727673330,1174,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 686 n_permutations 21 update_interval 61 n_consecutive_deviations 2,686,21,61,2,0.262608538350217,0,None,i7186,1167,1.394845896787965e-05 1727672320,1727673426,1106,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 709 n_permutations 45 update_interval 51 n_consecutive_deviations 3,709,45,51,3,0.25770742884708153,0,None,i7181,1099,1.4025229703684398e-05 1727672300,1727673437,1137,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 693 n_permutations 10 update_interval 87 n_consecutive_deviations 1,693,10,87,1,0.26360588519054506,0,None,i7186,1130,1.685872752392473e-05 1727672340,1727673489,1149,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 706 n_permutations 44 update_interval 70 n_consecutive_deviations 5,706,44,70,5,0.2605909310178486,0,None,i7186,1142,1.9329757031483684e-05 1727672472,1727673536,1064,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 708 n_permutations 13 update_interval 74 n_consecutive_deviations 2,708,13,74,2,0.2625036179450072,0,None,i7181,1057,1.6087615346047148e-05 1727672469,1727673566,1097,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 709 n_permutations 25 update_interval 64 n_consecutive_deviations 3,709,25,64,3,0.2599155812831645,0,None,i7181,1090,1.5841949370946172e-05 1727672578,1727673705,1127,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 722 n_permutations 37 update_interval 50 n_consecutive_deviations 1,722,37,50,1,0.2589013506994694,0,None,i7181,1117,1.1122549046417495e-05 1727672714,1727673894,1180,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 689 n_permutations 10 update_interval 60 n_consecutive_deviations 1,689,10,60,1,0.2613362276893392,0,None,i7186,1171,1.2441937387104623e-05 1727672802,1727673970,1168,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 708 n_permutations 13 update_interval 76 n_consecutive_deviations 2,708,13,76,2,0.26268451519536906,0,None,i7186,1160,1.6451723260965498e-05 1727672957,1727674128,1171,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 708 n_permutations 32 update_interval 68 n_consecutive_deviations 4,708,32,68,4,0.26023154848046315,0,None,i7186,1163,1.7735643556542183e-05 1727672923,1727674158,1235,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 730 n_permutations 50 update_interval 52 n_consecutive_deviations 3,730,50,52,3,0.2580788712011577,0,None,i7186,1228,1.4188078368411641e-05 1727673136,1727674181,1045,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 708 n_permutations 13 update_interval 76 n_consecutive_deviations 2,708,13,76,2,0.26268451519536906,0,None,i7181,1037,1.6451723260965498e-05 1727673283,1727674185,902,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 315 n_permutations 31 update_interval 50 n_consecutive_deviations 5,315,31,50,5,0.24999758803666183,0,None,i7186,892,1.5634002845821597e-05 1727673343,1727674214,871,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 315 n_permutations 31 update_interval 107 n_consecutive_deviations 1,315,31,107,1,0.2603774722624216,0,None,i7186,863,2.1137436114766056e-05 1727673408,1727674267,859,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 316 n_permutations 10 update_interval 50 n_consecutive_deviations 4,316,10,50,4,0.2509165460684998,0,None,i7181,852,1.4547300263462375e-05 1727673223,1727674282,1059,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 708 n_permutations 31 update_interval 64 n_consecutive_deviations 4,708,31,64,4,0.2604558610709117,0,None,i7181,1052,1.711280541596895e-05 1727673103,1727674311,1208,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 686 n_permutations 12 update_interval 64 n_consecutive_deviations 1,686,12,64,1,0.2631801736613604,0,None,i7186,1201,1.2956661505900175e-05 1727673123,1727674323,1200,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 709 n_permutations 23 update_interval 50 n_consecutive_deviations 3,709,23,50,3,0.257730342498794,0,None,i7186,1193,1.3865098976834031e-05 1727673498,1727674425,927,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 316 n_permutations 10 update_interval 50 n_consecutive_deviations 4,316,10,50,4,0.2509165460684998,0,None,i7186,919,1.4547300263462375e-05 1727673643,1727674471,828,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 316 n_permutations 10 update_interval 50 n_consecutive_deviations 4,316,10,50,4,0.2509093101784853,0,None,i7181,821,1.4545281111053445e-05 1727673619,1727674527,908,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 315 n_permutations 50 update_interval 50 n_consecutive_deviations 5,315,50,50,5,0.24994934876989872,0,None,i7186,901,1.5629411800136765e-05 1727673740,1727674593,853,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 316 n_permutations 10 update_interval 50 n_consecutive_deviations 4,316,10,50,4,0.2509165460684998,0,None,i7181,844,1.4547300263462375e-05 1727673831,1727674704,873,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 335 n_permutations 34 update_interval 53 n_consecutive_deviations 1,335,34,53,1,0.25827424023154844,0,None,i7181,866,1.078354785742379e-05 1727673972,1727674873,901,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 315 n_permutations 30 update_interval 50 n_consecutive_deviations 5,315,30,50,5,0.25000361794500725,0,None,i7186,893,1.563374664645274e-05 1727673761,1727674896,1135,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 916 n_permutations 10 update_interval 250 n_consecutive_deviations 5,916,10,250,5,0.29631934394597204,0,None,i7181,1128,5.511311430259543e-05 1727674056,1727674949,893,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 311 n_permutations 10 update_interval 75 n_consecutive_deviations 1,311,10,75,1,0.2549589966232513,0,None,i7186,886,1.4659578482863569e-05 1727674202,1727675128,926,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 326 n_permutations 18 update_interval 60 n_consecutive_deviations 2,326,18,60,2,0.2568077665219489,0,None,i7186,919,1.3410260016114144e-05 1727674402,1727675320,918,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 313 n_permutations 50 update_interval 51 n_consecutive_deviations 3,313,50,51,3,0.2508031837916064,0,None,i7186,911,1.3306139065136542e-05 1727674462,1727675375,913,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 310 n_permutations 10 update_interval 61 n_consecutive_deviations 2,310,10,61,2,0.25491919922817174,0,None,i7186,906,1.334903220281465e-05 1727674482,1727675377,895,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 316 n_permutations 50 update_interval 50 n_consecutive_deviations 5,316,50,50,5,0.2505619874577907,0,None,i7186,887,1.567596072697565e-05 1727674783,1727675616,833,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 339 n_permutations 50 update_interval 66 n_consecutive_deviations 4,339,50,66,4,0.2570911722141823,0,None,i7181,827,1.6313381257707006e-05 1727674796,1727675625,829,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 316 n_permutations 45 update_interval 50 n_consecutive_deviations 5,316,45,50,5,0.2505668113844669,0,None,i7181,822,1.567575490171319e-05 1727674763,1727675669,906,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 317 n_permutations 10 update_interval 51 n_consecutive_deviations 4,317,10,51,4,0.25066208393632416,0,None,i7186,899,1.471838890320957e-05 1727674435,1727675673,1238,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 895 n_permutations 37 update_interval 229 n_consecutive_deviations 1,895,37,229,1,0.28946092619392183,0,None,i7186,1232,4.309308052236615e-05 1727674822,1727675677,855,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 314 n_permutations 11 update_interval 50 n_consecutive_deviations 4,314,11,50,4,0.24948022190062713,0,None,i7181,847,1.4533950897932861e-05 1727674983,1727675887,904,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 316 n_permutations 45 update_interval 50 n_consecutive_deviations 5,316,45,50,5,0.2505740472744814,0,None,i7186,897,1.5675446163819497e-05 1727675037,1727675893,856,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 315 n_permutations 32 update_interval 50 n_consecutive_deviations 5,315,32,50,5,0.25001085383502175,0,None,i7181,849,1.563277500025055e-05 1727674822,1727675942,1120,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 912 n_permutations 16 update_interval 219 n_consecutive_deviations 4,912,16,219,4,0.28988422575976847,0,None,i7181,1113,4.586540657851957e-05 1727674736,1727675981,1245,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 900 n_permutations 21 update_interval 96 n_consecutive_deviations 2,900,21,96,2,0.2649879401833092,0,None,i7186,1238,2.0306727582131505e-05 1727675199,1727676050,851,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 315 n_permutations 32 update_interval 50 n_consecutive_deviations 5,315,32,50,5,0.24998070429329478,0,None,i7181,844,1.563272758921892e-05 1727675219,1727676082,863,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 261 n_permutations 10 update_interval 50 n_consecutive_deviations 1,261,10,50,1,0.25452243125904483,0,None,i7181,857,9.980147401056517e-06 1727675178,1727676098,920,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 315 n_permutations 32 update_interval 50 n_consecutive_deviations 5,315,32,50,5,0.2500084418716836,0,None,i7186,913,1.5632213320767923e-05 1727675287,1727676124,837,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 315 n_permutations 33 update_interval 50 n_consecutive_deviations 5,315,33,50,5,0.24999397009165458,0,None,i7181,830,1.563216402244209e-05 1727675023,1727676301,1278,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 900 n_permutations 21 update_interval 96 n_consecutive_deviations 2,900,21,96,2,0.2649879401833092,0,None,i7186,1272,2.0306727582131505e-05 1727675399,1727676311,912,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 315 n_permutations 33 update_interval 50 n_consecutive_deviations 5,315,33,50,5,0.24998070429329478,0,None,i7186,905,1.563272758921892e-05 1727675520,1727676418,898,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 239 n_permutations 29 update_interval 75 n_consecutive_deviations 1,239,29,75,1,0.26682826821032324,0,None,i7186,891,1.3833321940101474e-05 1727675540,1727676421,881,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 239 n_permutations 28 update_interval 75 n_consecutive_deviations 1,239,28,75,1,0.26679329474191993,0,None,i7186,874,1.3839061449221638e-05 1727675760,1727676693,933,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 316 n_permutations 10 update_interval 50 n_consecutive_deviations 5,316,10,50,5,0.25061263868789196,0,None,i7186,926,1.5683167840499808e-05 1727675780,1727676793,1013,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 272 n_permutations 17 update_interval 50 n_consecutive_deviations 1,272,17,50,1,0.25647129763627596,0,None,i7186,1005,9.979245289853218e-06 1727675947,1727676843,896,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 240 n_permutations 16 update_interval 82 n_consecutive_deviations 1,240,16,82,1,0.2645405209840811,0,None,i7186,888,1.5234889129745576e-05 1727675972,1727676879,907,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 240 n_permutations 28 update_interval 77 n_consecutive_deviations 1,240,28,77,1,0.26623854317414375,0,None,i7186,899,1.4235103441872074e-05 1727675992,1727676978,986,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 268 n_permutations 18 update_interval 50 n_consecutive_deviations 2,268,18,50,2,0.25503135552339606,0,None,i7186,979,1.1067581223851028e-05 1727676249,1727676998,749,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 239 n_permutations 18 update_interval 84 n_consecutive_deviations 1,239,18,84,1,0.2672925711529185,0,None,i7181,742,1.5507314724406335e-05 1727676240,1727677032,792,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 239 n_permutations 30 update_interval 75 n_consecutive_deviations 1,239,30,75,1,0.2668041485769417,0,None,i7181,784,1.3838088368496897e-05 1727676260,1727677101,841,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 268 n_permutations 38 update_interval 50 n_consecutive_deviations 1,268,38,50,1,0.2563482875060299,0,None,i7181,834,9.991743569116328e-06 1727676194,1727677127,933,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 246 n_permutations 10 update_interval 59 n_consecutive_deviations 3,246,10,59,3,0.2637313072841293,0,None,i7186,926,1.3027405087410895e-05 1727676462,1727677392,930,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 311 n_permutations 48 update_interval 51 n_consecutive_deviations 5,311,48,51,5,0.25078991799324646,0,None,i7186,923,1.515225986392673e-05 1727676483,1727677452,969,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 312 n_permutations 15 update_interval 50 n_consecutive_deviations 4,312,15,50,4,0.2510021707670044,0,None,i7186,961,1.41720661278691e-05 1727676503,1727677461,958,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 313 n_permutations 13 update_interval 50 n_consecutive_deviations 4,313,13,50,4,0.25020863482875055,0,None,i7186,951,1.428602455858785e-05 1727676523,1727677475,952,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 316 n_permutations 10 update_interval 50 n_consecutive_deviations 5,316,10,50,5,0.25061263868789196,0,None,i7186,945,1.568249830635361e-05 1727676778,1727677552,774,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 262 n_permutations 10 update_interval 74 n_consecutive_deviations 5,262,10,74,5,0.25892667631452004,0,None,i7181,768,1.807818744720035e-05 1727676758,1727677573,815,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 354 n_permutations 10 update_interval 91 n_consecutive_deviations 5,354,10,91,5,0.26159913169319826,0,None,i7181,809,2.2002985139708613e-05 1727676867,1727677809,942,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 315 n_permutations 31 update_interval 50 n_consecutive_deviations 5,315,31,50,5,0.24997467438494936,0,None,i7186,935,1.5632983755935666e-05 1727676795,1727677856,1061,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 730 n_permutations 10 update_interval 96 n_consecutive_deviations 1,730,10,96,1,0.2663772310660878,0,None,i7181,1054,1.8527732290779468e-05 1727676987,1727677908,921,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 265 n_permutations 19 update_interval 50 n_consecutive_deviations 5,265,19,50,5,0.25714664737095994,0,None,i7186,914,1.3805732988136944e-05 1727677027,1727677963,936,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 316 n_permutations 10 update_interval 50 n_consecutive_deviations 5,316,10,50,5,0.2506186685962374,0,None,i7186,929,1.568291040514373e-05 1727677228,1727678013,785,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 276 n_permutations 20 update_interval 67 n_consecutive_deviations 3,276,20,67,3,0.2582501205981669,0,None,i7181,776,1.494989229116629e-05 1727676735,1727678021,1286,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 881 n_permutations 50 update_interval 93 n_consecutive_deviations 1,881,50,93,1,0.2633755426917511,0,None,i7186,1279,1.8388421735423318e-05 1727677220,1727678158,938,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 316 n_permutations 10 update_interval 50 n_consecutive_deviations 5,316,10,50,5,0.2506246985045827,0,None,i7186,930,1.568466184933118e-05 1727677188,1727678171,983,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 292 n_permutations 29 update_interval 51 n_consecutive_deviations 3,292,29,51,3,0.25926676314520014,0,None,i7186,975,1.2452878623480031e-05 1727677432,1727678213,781,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 315 n_permutations 31 update_interval 50 n_consecutive_deviations 5,315,31,50,5,0.25000964785335267,0,None,i7181,774,1.5632826237947328e-05 1727677402,1727678335,933,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 311 n_permutations 48 update_interval 51 n_consecutive_deviations 5,311,48,51,5,0.25078388808490115,0,None,i7186,924,1.5152508704647483e-05 1727677457,1727678379,922,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 316 n_permutations 10 update_interval 50 n_consecutive_deviations 5,316,10,50,5,0.2506222865412445,0,None,i7186,915,1.5684764836664154e-05 1727677517,1727678450,933,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 315 n_permutations 32 update_interval 50 n_consecutive_deviations 5,315,32,50,5,0.2499794983116257,0,None,i7186,926,1.563277882256227e-05 1727677737,1727678512,775,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 316 n_permutations 10 update_interval 50 n_consecutive_deviations 5,316,10,50,5,0.25061987457790647,0,None,i7181,768,1.5682189397114606e-05 1727677766,1727678551,785,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 292 n_permutations 29 update_interval 51 n_consecutive_deviations 3,292,29,51,3,0.259232995658466,0,None,i7181,778,1.2454483330120228e-05 1727677894,1727678642,748,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 298 n_permutations 50 update_interval 85 n_consecutive_deviations 2,298,50,85,2,0.2589170284611674,0,None,i7181,741,1.769553723778963e-05 1727677706,1727678650,944,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 292 n_permutations 29 update_interval 51 n_consecutive_deviations 3,292,29,51,3,0.2592619392185239,0,None,i7186,936,1.2453046097673763e-05 1727677874,1727678828,954,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 292 n_permutations 29 update_interval 51 n_consecutive_deviations 3,292,29,51,3,0.25926676314520014,0,None,i7186,947,1.2452878623480031e-05 1727678014,1727678935,921,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 316 n_permutations 10 update_interval 50 n_consecutive_deviations 5,316,10,50,5,0.25061263868789196,0,None,i7186,914,1.568249830635361e-05 1727678054,1727678988,934,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 316 n_permutations 10 update_interval 50 n_consecutive_deviations 5,316,10,50,5,0.25061263868789196,0,None,i7186,927,1.5683167840499808e-05 1727678275,1727679236,961,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 311 n_permutations 49 update_interval 51 n_consecutive_deviations 4,311,49,51,4,0.252086348287506,0,None,i7186,954,1.413783881635353e-05 1727678341,1727679251,910,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 304 n_permutations 10 update_interval 61 n_consecutive_deviations 5,304,10,61,5,0.25491799324650266,0,None,i7186,903,1.6073028103307933e-05 1727678311,1727679252,941,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 316 n_permutations 15 update_interval 50 n_consecutive_deviations 4,316,15,50,4,0.2508948383984564,0,None,i7186,934,1.454527819850462e-05 1727678335,1727679265,930,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 315 n_permutations 31 update_interval 50 n_consecutive_deviations 5,315,31,50,5,0.2499794983116257,0,None,i7186,923,1.563277882256227e-05 1727678613,1727679440,827,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 333 n_permutations 36 update_interval 59 n_consecutive_deviations 4,333,36,59,4,0.25651591895803183,0,None,i7181,821,1.5370112266452082e-05 1727678635,1727679442,807,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 315 n_permutations 32 update_interval 50 n_consecutive_deviations 5,315,32,50,5,0.24999638205499275,0,None,i7181,800,1.5632061555755395e-05 1727678575,1727679496,921,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 315 n_permutations 32 update_interval 50 n_consecutive_deviations 5,315,32,50,5,0.2500084418716836,0,None,i7186,914,1.5632213320767923e-05 1727678595,1727679519,924,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 316 n_permutations 10 update_interval 50 n_consecutive_deviations 5,316,10,50,5,0.2506222865412445,0,None,i7186,917,1.5684764836664154e-05 1727678920,1727679741,821,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 315 n_permutations 34 update_interval 50 n_consecutive_deviations 5,315,34,50,5,0.2500012059816691,0,None,i7181,814,1.5630528568635568e-05 1727678880,1727679787,907,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 315 n_permutations 33 update_interval 50 n_consecutive_deviations 5,315,33,50,5,0.24998070429329478,0,None,i7186,900,1.563272758921892e-05 1727678900,1727679803,903,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 303 n_permutations 12 update_interval 63 n_consecutive_deviations 5,303,12,63,5,0.2546743849493488,0,None,i7186,896,1.6426347172480114e-05 1727678940,1727679850,910,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 315 n_permutations 30 update_interval 50 n_consecutive_deviations 5,315,30,50,5,0.2499794983116257,0,None,i7186,903,1.563277882256227e-05 1727679186,1727679991,805,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 316 n_permutations 10 update_interval 50 n_consecutive_deviations 5,316,10,50,5,0.25061263868789196,0,None,i7181,799,1.568249830635361e-05 1727679188,1727679992,804,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 315 n_permutations 34 update_interval 50 n_consecutive_deviations 5,315,34,50,5,0.2499794983116257,0,None,i7181,798,1.563277882256227e-05 1727679206,1727680009,803,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 315 n_permutations 34 update_interval 50 n_consecutive_deviations 5,315,34,50,5,0.2500072358900145,0,None,i7181,797,1.5632264556287896e-05 1727679146,1727680066,920,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 330 n_permutations 50 update_interval 56 n_consecutive_deviations 4,330,50,56,4,0.25492643511818625,0,None,i7186,913,1.5142149901886661e-05 1727679286,1727680212,926,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 315 n_permutations 34 update_interval 50 n_consecutive_deviations 5,315,34,50,5,0.2499794983116257,0,None,i7186,918,1.563277882256227e-05 1727679544,1727680451,907,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 341 n_permutations 50 update_interval 75 n_consecutive_deviations 3,341,50,75,3,0.2586541244573083,0,None,i7186,900,1.6729773923667677e-05 1727679568,1727680493,925,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 315 n_permutations 34 update_interval 50 n_consecutive_deviations 5,315,34,50,5,0.2499794983116257,0,None,i7186,918,1.563277882256227e-05 1727679608,1727680510,902,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 301 n_permutations 20 update_interval 67 n_consecutive_deviations 5,301,20,67,5,0.25510371442354074,0,None,i7186,895,1.7149003478065043e-05 1727679588,1727680541,953,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 315 n_permutations 34 update_interval 50 n_consecutive_deviations 5,315,34,50,5,0.250015677761698,0,None,i7186,946,1.563257004946344e-05 1727679874,1727680837,963,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 364 n_permutations 50 update_interval 71 n_consecutive_deviations 1,364,50,71,1,0.2615315967197298,0,None,i7186,956,1.2972807362918623e-05 1727679934,1727680894,960,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 392 n_permutations 50 update_interval 50 n_consecutive_deviations 5,392,50,50,5,0.25880487216594306,0,None,i7186,953,1.5046906315722313e-05 1727679914,1727680976,1062,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 505 n_permutations 50 update_interval 50 n_consecutive_deviations 3,505,50,50,3,0.25688374336710085,0,None,i7186,1055,1.2913548716026541e-05 1727679914,1727681111,1197,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 806 n_permutations 50 update_interval 82 n_consecutive_deviations 1,806,50,82,1,0.2618656536420646,0,None,i7186,1191,1.6403806217701047e-05 1727680307,1727681192,885,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 434 n_permutations 50 update_interval 76 n_consecutive_deviations 1,434,50,76,1,0.26275687409551374,0,None,i7181,877,1.410093707504586e-05 1727680295,1727681287,992,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 434 n_permutations 50 update_interval 50 n_consecutive_deviations 1,434,50,50,1,0.2582645923781959,0,None,i7186,985,1.042050195949137e-05 1727680314,1727681491,1177,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 969 n_permutations 10 update_interval 50 n_consecutive_deviations 1,969,10,50,1,0.26053666184273994,0,None,i7181,1169,1.1729933942869582e-05 1727680246,1727681538,1292,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 971 n_permutations 10 update_interval 50 n_consecutive_deviations 5,971,10,50,5,0.26357814761215625,0,None,i7186,1285,1.723560777217853e-05
It seems like the search space was exhausted. You were able to get 0% of the jobs you requested (got: 0, requested: 500) after main ran
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This is a heatmap that visualizes the correlation between numerical columns in a dataset. The values represented in the heatmap show the strength and direction of relationships between different variables.
The heatmap uses a matrix to represent correlations between each pair of numerical columns. The calculation behind this is based on the concept of "correlation," which measures how strongly two variables are related. A correlation can be positive, negative, or zero:
The heatmap uses a color scale called "Viridis," which ranges from yellow to purple. Here's what the colors represent:
In the heatmap, each cell represents the correlation between two numerical columns. The color of the cell is determined by the correlation coefficient: from yellow for strong positive correlations, through green and blue for weaker correlations, to purple for strong negative correlations.
submitit INFO (2024-09-30 00:55:21,592) - Starting with JobEnvironment(job_id=2306922, hostname=i7186, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2024-09-30 00:55:21,594) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/unsupervised-concept-drift-detection-main/runs/ImageBasedDriftDetector_PokerHand/0/single_runs/2306922/2306922_submitted.pkl
Parameters: {"n_samples": 998, "n_permutations": 19, "update_interval": 92, "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 PokerHand 1000 ImageBasedDriftDetector n_samples 998 n_permutations 19 update_interval 92 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: 1727649769.0
Last modification: 1724759185.0
Hostname: i7186
pwd: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/unsupervised-concept-drift-detection-main
File: main_omniopt.py
UID: 2063769
GID: 200270
Status-Change-Time: 1727277242.0
Size: 1729 Bytes
Permissions: -rw-r--r--
Owner: s4122485
Last access: 1727649794.0
Last modification: 1727277242.0
Hostname: i7186
========
DEBUG INFOS END
module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main_omniopt.py PokerHand 1000 ImageBasedDriftDetector n_samples 998 n_permutations 19 update_interval 92 n_consecutive_deviations 3
stdout:
RESULT: 0.2657826821032321
OO-Info: runtime: 1289
OO-Info: lpd: 2.12808506201394e-05
Result: 0.2657826821032321
EXIT_CODE: 0
submitit INFO (2024-09-30 01:17:00,228) - Job completed successfully
submitit INFO (2024-09-30 01:17:00,231) - Exiting after successful completion
Job-Infos
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min-width: 1px !important;
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td.gridjs-td {
overflow: clip;
}
.title-bar-text {
font-size: 22px;
display: block ruby;
}
.title-bar {
height: fit-content;
}
.window {
width: fit-content;
min-width: 100%;
}
.top_link {
display: inline-block;
padding: 5px 5px;
background-color: #007bff; /* Blau, kannst du anpassen */
color: white;
text-decoration: none;
font-size: 16px;
font-weight: bold;
border-radius: 6px;
border: 2px solid #0056b3;
text-align: center;
transition: all 0.3s ease-in-out;
}
.top_link:hover {
background-color: #0056b3;
border-color: #004494;
}
.top_link:active {
background-color: #003366;
border-color: #002244;
}
button {
color: black;
}
.share_folder_buttons {
width: fit-content;
}
button {
background: #fcfcfe;
border-color: #919b9c;
border-top-color: rgb(145, 155, 156);
border-bottom-color: rgb(145, 155, 156);
margin-right: -1px;
border-bottom: 1px solid transparent;
border-top: 1px solid #e68b2c;
box-shadow: inset 0 2px #ffc73c;
}
button {
padding-bottom: 2px;
margin-top: -2px;
background-color: #ece9d8;
position: relative;
z-index: 8;
margin-left: -3px;
margin-bottom: 1px;
}
.window {
min-width: 1100px;
}
[role="tab"] {
padding: 10px !important;
}
[role="tabpanel"] {
min-width: fit-content;
}
select {
border: 1px solid #7f9db9;
background-image: url("data:image/svg+xml;charset=utf-8,%3Csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 -0.5 15 17' shape-rendering='crispEdges'%3E%3Cpath stroke='%23e6eefc' d='M0 0h1'/%3E%3Cpath stroke='%23d1e0fd' d='M1 0h1M0 1h1m3 0h2M2 3h1M2 4h1'/%3E%3Cpath stroke='%23cad8f9' d='M2 0h1M0 2h1'/%3E%3Cpath stroke='%23c4d3f7' d='M3 0h1M0 3h1M0 4h1'/%3E%3Cpath stroke='%23bfd0f8' d='M4 0h2M0 5h1'/%3E%3Cpath stroke='%23bdcef7' d='M6 0h1M0 6h1'/%3E%3Cpath stroke='%23baccf4' d='M7 0h1m6 2h1m-1 5h1m-1 1h1'/%3E%3Cpath stroke='%23b8cbf6' d='M8 0h1M0 7h1M0 8h1'/%3E%3Cpath stroke='%23b7caf5' d='M9 0h2M0 9h1'/%3E%3Cpath stroke='%23b5c8f7' d='M11 0h1'/%3E%3Cpath stroke='%23b3c7f5' d='M12 0h1'/%3E%3Cpath stroke='%23afc5f4' d='M13 0h1'/%3E%3Cpath stroke='%23dce6f9' d='M14 0h1'/%3E%3Cpath stroke='%23e1eafe' d='M1 1h1'/%3E%3Cpath stroke='%23dae6fe' d='M2 1h1M1 2h1'/%3E%3Cpath stroke='%23d4e1fc' d='M3 1h1M1 3h1M1 4h1'/%3E%3Cpath stroke='%23d0ddfc' d='M6 1h1M1 5h1'/%3E%3Cpath stroke='%23cedbfd' d='M7 1h1M4 2h2'/%3E%3Cpath stroke='%23cad9fd' d='M8 1h1M6 2h1M3 5h1'/%3E%3Cpath stroke='%23c8d8fb' d='M9 1h2'/%3E%3Cpath stroke='%23c5d6fc' d='M11 1h1M2 11h4'/%3E%3Cpath stroke='%23c2d3fc' d='M12 1h1m-2 1h1M1 11h1m0 1h2m-2 1h2'/%3E%3Cpath stroke='%23bccefa' d='M13 1h1m-1 1h1m-1 1h1m-1 1h1M3 15h4'/%3E%3Cpath stroke='%23b9c9f3' d='M14 1h1M3 16h4'/%3E%3Cpath stroke='%23d8e3fc' d='M2 2h1'/%3E%3Cpath stroke='%23d1defd' d='M3 2h1'/%3E%3Cpath stroke='%23c9d8fc' d='M7 2h1M4 3h3M4 4h3M3 6h1m1 0h2M1 7h1M1 8h1'/%3E%3Cpath stroke='%23c5d5fc' d='M8 2h1m-8 8h5'/%3E%3Cpath stroke='%23c5d3fc' d='M9 2h2'/%3E%3Cpath stroke='%23bed0fc' d='M12 2h1M8 3h1M8 4h1m-8 8h1m-1 1h1m0 1h1m1 0h3'/%3E%3Cpath stroke='%23cddbfc' d='M3 3h1M3 4h1M1 6h2'/%3E%3Cpath stroke='%23c8d5fb' d='M7 3h1M7 4h1'/%3E%3Cpath stroke='%23bbcefd' d='M9 3h4M9 4h4M8 5h1M7 6h1'/%3E%3Cpath stroke='%23bcccf3' d='M14 3h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23ceddfd' d='M2 5h1'/%3E%3Cpath stroke='%23c8d6fb' d='M4 5h4M1 9h3'/%3E%3Cpath stroke='%23bacdfc' d='M9 5h2m1 0h2M1 14h1'/%3E%3Cpath stroke='%23b9cdfb' d='M11 5h1M8 6h2m2 0h2m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%234d6185' d='M4 6h1m5 0h1M3 7h3m3 0h3M4 8h3m1 0h3M5 9h5m-4 1h3m-2 1h1'/%3E%3Cpath stroke='%23b7cdfc' d='M11 6h1m0 1h1m-1 1h1'/%3E%3Cpath stroke='%23cad8fd' d='M2 7h1M2 8h2'/%3E%3Cpath stroke='%23c1d3fb' d='M6 7h2M7 8h1M4 9h1'/%3E%3Cpath stroke='%23b6cefb' d='M8 7h1m2 1h1m-2 1h3m-2 1h2'/%3E%3Cpath stroke='%23b6cdfb' d='M13 9h1m-6 6h1'/%3E%3Cpath stroke='%23b9cbf3' d='M14 9h1'/%3E%3Cpath stroke='%23b4c8f6' d='M0 10h1'/%3E%3Cpath stroke='%23bdd3fb' d='M9 10h2m-4 4h1'/%3E%3Cpath stroke='%23b5cdfa' d='M13 10h1'/%3E%3Cpath stroke='%23b5c9f3' d='M14 10h1'/%3E%3Cpath stroke='%23b1c7f6' d='M0 11h1'/%3E%3Cpath stroke='%23c3d5fd' d='M6 11h1'/%3E%3Cpath stroke='%23bad4fc' d='M8 11h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23b2cffb' d='M9 11h4m-2 3h1'/%3E%3Cpath stroke='%23b1cbfa' d='M13 11h1m-3 4h1'/%3E%3Cpath stroke='%23b3c8f5' d='M14 11h1m-7 5h3'/%3E%3Cpath stroke='%23adc3f6' d='M0 12h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23c2d5fc' d='M4 12h4m-4 1h4'/%3E%3Cpath stroke='%23b7d3fc' d='M9 12h2m-2 1h2m-3 1h1'/%3E%3Cpath stroke='%23b3d1fc' d='M11 12h1m-1 1h1'/%3E%3Cpath stroke='%23afcdfb' d='M12 12h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23afcbfa' d='M13 12h1m-1 1h1'/%3E%3Cpath stroke='%23b2c8f4' d='M14 12h1m-1 1h1m-4 3h1'/%3E%3Cpath stroke='%23c1d2fb' d='M3 14h1'/%3E%3Cpath stroke='%23b6d1fb' d='M9 14h2'/%3E%3Cpath stroke='%23adc9f9' d='M13 14h1m-2 1h1'/%3E%3Cpath stroke='%23b1c6f3' d='M14 14h1m-3 2h1'/%3E%3Cpath stroke='%23abc1f4' d='M0 15h1'/%3E%3Cpath stroke='%23b7cbf9' d='M1 15h1'/%3E%3Cpath stroke='%23b9cefb' d='M2 15h1'/%3E%3Cpath stroke='%23b9cffb' d='M7 15h1'/%3E%3Cpath stroke='%23b2cdfb' d='M9 15h2'/%3E%3Cpath stroke='%23aec8f7' d='M13 15h1'/%3E%3Cpath stroke='%23b0c5f2' d='M14 15h1m-2 1h1'/%3E%3Cpath stroke='%23dbe3f8' d='M0 16h1'/%3E%3Cpath stroke='%23b7c6f1' d='M1 16h1'/%3E%3Cpath stroke='%23b8c9f2' d='M2 16h1m4 0h1'/%3E%3Cpath stroke='%23d9e3f6' d='M14 16h1'/%3E%3C/svg%3E");
background-size: 15px;
font-size: 11px;
border: none;
background-color: #fff;
box-sizing: border-box;
height: 21px;
appearance: none;
-webkit-appearance: none;
-moz-appearance: none;
position: relative;
padding: 5px 32px 32px 5px;
background-position: top 50% right 2px;
background-repeat: no-repeat;
border-radius: 0;
border: 1px solid black;
}
body {
font-variant: oldstyle-nums;
font-family: 'IBM Plex Sans', 'Source Sans Pro', sans-serif;
background-color: #fafafa;
text-shadow: 0 0.05em 0.1em rgba(0,0,0,0.2);
scroll-behavior: smooth;
text-wrap: balance;
text-rendering: optimizeLegibility;
-webkit-font-smoothing: antialiased;
-moz-osx-font-smoothing: grayscale;
font-feature-settings: "ss02", "liga", "onum";
}
.marked_text {
background-color: yellow;
}
.time_picker_container {
font-variant: small-caps;
width: 100%;
}
.time_picker_container > input {
width: 50px;
}
#loader {
display: grid;
justify-content: center;
align-items: center;
height: 100%;
}
.no_linebreak {
line-break: auto;
}
.dark_code_bg {
background-color: #363636;
color: white;
}
.code_bg {
background-color: #C0C0C0;
}
#commands {
line-break: anywhere;
}
.color_red {
color: red;
}
.color_orange {
color: orange;
}
table > tbody > tr:nth-child(odd) {
background-color: #fafafa;
}
table > tbody > tr:nth-child(even) {
background-color: #ddd;
}
table {
border-collapse: collapse;
margin: 0 0;
min-width: 200px;
}
th {
background-color: #4eae46;
color: #ffffff;
text-align: left;
border: 0px;
}
.error_element {
background-color: #e57373;
border-radius: 10px;
padding: 4px;
display: none;
}
button {
background-color: #4eae46;
border: 1px solid #2A8387;
border-radius: 4px;
box-shadow: rgba(0, 0, 0, 0.12) 0 1px 1px;
cursor: pointer;
display: block;
line-height: 100%;
outline: 0;
padding: 11px 15px 12px;
text-align: center;
transition: box-shadow .05s ease-in-out, opacity .05s ease-in-out;
user-select: none;
-webkit-user-select: none;
touch-action: manipulation;
font-family: 'IBM Plex Sans', 'Source Sans Pro', sans-serif;
}
button:hover {
box-shadow: rgba(255, 255, 255, 0.3) 0 0 2px inset, rgba(0, 0, 0, 0.4) 0 1px 2px;
text-decoration: none;
transition-duration: .15s, .15s;
}
button:active {
box-shadow: rgba(0, 0, 0, 0.15) 0 2px 4px inset, rgba(0, 0, 0, 0.4) 0 1px 1px;
}
button:disabled {
cursor: not-allowed;
opacity: .6;
}
button:disabled:active {
pointer-events: none;
}
button:disabled:hover {
box-shadow: none;
}
.half_width_td {
vertical-align: baseline;
width: 50%;
}
#scads_bar {
width: 100%;
margin: 0;
padding: 0;
user-select: none;
user-drag: none;
-webkit-user-drag: none;
user-select: none;
-moz-user-select: none;
-webkit-user-select: none;
-ms-user-select: none;
display: -webkit-box;
}
.tab {
display: inline-block;
padding: 0px;
margin: 0px;
font-size: 16px;
font-weight: bold;
text-align: center;
border-radius: 25px;
text-decoration: none !important;
transition: background-color 0.3s, color 0.3s;
color: unset !important;
}
.tooltipster-base {
border: 1px solid black;
position: absolute;
border-radius: 8px;
padding: 2px;
color: white;
background-color: #61686f;
width: 70%;
min-width: 200px;
pointer-events: none;
}
td {
padding-top: 3px;
padding-bottom: 3px;
}
.left_side {
text-align: right;
}
.right_side {
text-align: left;
}
.spinner {
border: 8px solid rgba(0, 0, 0, 0.1);
border-left: 8px solid #3498db;
border-radius: 50%;
width: 50px;
height: 50px;
animation: spin 1s linear infinite;
}
@keyframes spin {
0% {
transform: rotate(0deg);
}
100% {
transform: rotate(360deg);
}
}
#spinner-overlay {
-webkit-text-stroke: 1px black;
white !important;
position: fixed;
top: 0;
left: 0;
width: 100%;
height: 100%;
display: flex;
justify-content: center;
align-items: center;
z-index: 9999;
}
#spinner-container {
text-align: center;
color: #fff;
display: contents;
}
#spinner-text {
font-size: 3vw;
margin-left: 10px;
}
a, a:visited, a:active, a:hover, a:link {
color: #007bff;
text-decoration: none;
}
.copy-container {
display: inline-block;
position: relative;
cursor: pointer;
margin-left: 10px;
color: blue;
}
.copy-container:hover {
text-decoration: underline;
}
.clipboard-icon {
position: absolute;
top: 5px;
right: 5px;
font-size: 1.5em;
}
#main_tab {
overflow: scroll;
width: max-content;
}
.ui-tabs .ui-tabs-nav li {
user-select: none;
}
.stacktrace_table {
background-color: black !important;
color: white !important;
}
#breadcrumb {
user-select: none;
}
#statusBar {
user-select: none;
}
.error_line {
background-color: red !important;
color: white !important;
}
.header_table {
border: 0px !important;
padding: 0px !important;
width: revert !important;
min-width: revert !important;
}
.img_auto_width {
max-width: revert !important;
}
#main_dir_or_plot_view {
display: inline-grid;
}
#refresh_button {
width: 300px;
}
._share_link {
color: black !important;
}
#footer_element {
height: 30px;
background-color: #f8f9fa;
padding: 0px;
text-align: center;
border-top: 1px solid #dee2e6;
width: 100%;
box-sizing: border-box;
position: fixed;
bottom: 0;
z-index: 2;
margin-left: -9px;
z-index: 99;
}
.switch {
position: relative;
display: inline-block;
width: 50px;
height: 26px;
}
.switch input {
opacity: 0;
width: 0;
height: 0;
}
.slider {
position: absolute;
cursor: pointer;
top: 0;
left: 0;
right: 0;
bottom: 0;
background-color: #ccc;
transition: .4s;
border-radius: 26px;
}
.slider:before {
position: absolute;
content: "";
height: 20px;
width: 20px;
left: 3px;
bottom: 3px;
background-color: white;
transition: .4s;
border-radius: 50%;
}
input:checked + .slider {
background-color: #444;
}
input:checked + .slider:before {
transform: translateX(24px);
}
.mode-text {
position: absolute;
top: 5px;
left: 65px;
font-size: 14px;
color: black;
transition: .4s;
width: 65px;
display: block;
font-size: 0.7rem;
text-align: center;
}
input:checked + .slider .mode-text {
content: "Dark Mode";
color: white;
}
#mainContent {
height: fit-content;
min-height: 100%;
}
li {
text-align: left;
}
#share_path {
margin-bottom: 20px;
margin-top: 20px;
}
#sortForm {
margin-bottom: 20px;
}
.share_folder_buttons {
margin-top: 10px;
margin-bottom: 10px;
}
.nav_tab_button {
margin: 10px;
}
.header_table {
margin: 10px;
}
.no_border {
border: unset !important;
}
.gui_table {
padding: 5px !important;
}
.gui_parameter_row {
}
.gui_parameter_row_cell {
border: unset !important;
}
.gui_param_table {
width: 95%;
margin: unset !important;
}
table td, table tr,
.parameterRow table {
padding: 2px !important;
}
.parameterRow table {
margin: 0px;
border: unset;
}
.parameterRow > td {
border: 0px !important;
}
.parameter_config_table td, .parameter_config_table tr, #config_table th, #config_table td, #hidden_config_table th, #hidden_config_table td {
border: 0px !important;
}
.green_text {
color: green;
}
.remove_parameter {
white-space: pre;
}
select {
appearance: none;
-webkit-appearance: none;
-moz-appearance: none;
background-color: #fff;
color: #222;
padding: 5px 30px 5px 5px;
border: 1px solid #555;
border-radius: 5px;
cursor: pointer;
outline: none;
transition: all 0.3s ease;
background:
url("data:image/svg+xml;charset=UTF-8,%3Csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 10 6'%3E%3Cpath fill='%23888' d='M0 0l5 6 5-6z'/%3E%3C/svg%3E")
no-repeat right 10px center,
linear-gradient(180deg, #fff, #ecebe5 86%, #d8d0c4);
background-size: 12px, auto;
}
select:hover {
border-color: #888;
}
select:focus {
border-color: #4caf50;
box-shadow: 0 0 5px rgba(76, 175, 80, 0.5);
}
select::-ms-expand {
display: none;
}
input, textarea {
border-radius: 5px;
}
#search {
width: 200px;
max-width: 70%;
background-image: url(images/search.svg);
background-repeat: no-repeat;
background-size: auto 40px;
height: 40px;
line-height: 40px;
padding-left: 40px;
box-sizing: border-box;
}
input[type="checkbox"] {
appearance: none;
-webkit-appearance: none;
-moz-appearance: none;
width: 25px;
height: 25px;
border: 2px solid #3498db;
border-radius: 5px;
background-color: #fff;
position: relative;
cursor: pointer;
transition: all 0.3s ease;
width: 25px !important;
}
input[type="checkbox"]:checked {
background-color: #3498db;
border-color: #2980b9;
}
input[type="checkbox"]:checked::before {
content: '✔';
position: absolute;
left: 4px;
top: 2px;
color: #fff;
}
input[type="checkbox"]:hover {
border-color: #2980b9;
background-color: #3caffc;
}
.toc {
margin-bottom: 20px;
}
.toc li {
margin-bottom: 5px;
}
.toc a {
text-decoration: none;
color: #007bff;
}
.toc a:hover {
text-decoration: underline;
}
.table-container {
width: 100%;
overflow-x: auto;
}
.section-header {
background-color: #1d6f9a !important;
color: white;
}
.warning {
color: red;
}
.li_list a {
text-decoration: none;
}
.gridjs-td {
white-space: nowrap;
}
th, td {
border: 1px solid gray !important;
}
.no_border {
border: 0px !important;
}
.no_break {
}
img {
user-select: none;
pointer-events: none;
}
#config_table, #hidden_config_table {
user-select: none;
}
.copy_clipboard_button {
margin-bottom: 10px;
}
.badge_table {
background-color: unset !important;
}
.make_markable {
user-select: text;
}
.header-container {
display: flex;
flex-wrap: wrap;
align-items: center;
justify-content: space-between;
gap: 1rem;
padding: 10px;
background: var(--header-bg, #fff);
border-bottom: 1px solid #ccc;
}
.header-logo-group {
display: flex;
gap: 1rem;
align-items: center;
flex: 1 1 auto;
min-width: 200px;
}
.logo-img {
max-height: 45px;
height: auto;
width: auto;
object-fit: contain;
pointer-events: unset;
}
.header-badges {
flex-direction: column;
gap: 5px;
align-items: flex-start;
flex: 0 1 auto;
margin-top: auto;
margin-bottom: auto;
}
.badge-img {
height: auto;
max-width: 130px;
margin-top: 3px;
}
.header-tabs {
margin-top: 10px;
display: flex;
flex-wrap: wrap;
gap: 10px;
flex: 2 1 100%;
justify-content: center;
}
.nav-tab {
display: inline-block;
text-decoration: none;
padding: 8px 16px;
border-radius: 20px;
background: linear-gradient(to right, #4a90e2, #357ABD);
color: white;
font-weight: bold;
white-space: nowrap;
transition: background 0.2s ease-in-out, transform 0.2s;
box-shadow: 0 2px 4px rgba(0,0,0,0.2);
}
.nav-tab:hover {
background: linear-gradient(to right, #5aa0f2, #4a90e2);
transform: translateY(-2px);
}
.current-tag {
padding-left: 10px;
font-size: 0.9rem;
color: #666;
}
.header-theme-toggle {
flex: 1 1 auto;
align-items: center;
margin-top: 20px;
min-width: 120px;
}
.switch {
position: relative;
display: inline-block;
width: 60px;
height: 30px;
}
.switch input {
display: none;
}
.slider {
position: absolute;
top: 0; left: 0; right: 0; bottom: 0;
background-color: #ccc;
border-radius: 34px;
cursor: pointer;
}
.slider::before {
content: "";
position: absolute;
height: 24px;
width: 24px;
left: 3px;
bottom: 3px;
background-color: white;
transition: .4s;
border-radius: 50%;
}
input:checked + .slider {
background-color: #2196F3;
}
input:checked + .slider::before {
transform: translateX(30px);
}
@media (max-width: 768px) {
.header-logo-group,
.header-badges,
.header-theme-toggle {
justify-content: center;
flex: 1 1 100%;
text-align: center;
width: inherit;
}
.logo-img {
max-height: 50px;
pointer-events: unset;
}
.badge-img {
max-width: 100px;
}
.hide_on_mobile {
display: none;
}
.nav-tab {
font-size: 0.9rem;
padding: 6px 12px;
}
.header_button {
white-space: pre;
font-size: 2em;
}
}
.header_button {
white-space: pre;
margin-top: 20px;
margin: 5px;
}
.line_break_anywhere {
line-break: anywhere;
}
.responsive-container {
display: flex;
flex-wrap: wrap;
justify-content: space-between;
gap: 20px;
}
.responsive-container .half {
flex: 1 1 48%;
box-sizing: border-box;
min-width: 500px;
}
.config-section table {
width: 100%;
border-collapse: collapse;
}
@media (max-width: 768px) {
.responsive-container .half {
flex: 1 1 100%;
}
}
@keyframes spin {
0% {
transform: rotate(0deg);
}
100% {
transform: rotate(360deg);
}
}
.rotate {
animation: spin 2s linear infinite;
display: inline-block;
}
input::placeholder {
font-family: 'IBM Plex Sans', 'Source Sans Pro', sans-serif;
}
.gridjs-th-content {
overflow: visible !important;
}
.error_text {
color: red;
}
h1, h2, h3, h4, h5, h6 {
margin-top: 1em;
font-weight: bold;
color: #333;
border-left: 5px solid #ccc;
padding-left: 0.5em;
}
.no_cursive {
font-style: normal;
}
.caveat {
background-color: #fff8b3;
border: 1px solid #f2d600;
padding: 1em 1em 1em 70px;
position: relative;
font-family: sans-serif;
color: #665500;
margin: 1em 0;
border-radius: 4px;
}
.caveat h1, .caveat h2, .caveat h3, .caveat h4 {
margin-top: 0;
margin-bottom: 0.5em;
font-weight: bold;
}
.caveat::before {
content: "⚠️";
font-size: 50px;
line-height: 1;
position: absolute;
left: 10px;
top: 50%;
transform: translateY(-50%);
pointer-events: none;
user-select: none;
}
.caveat.warning::before { content: "⚠️"; }
.caveat.stop::before { content: "🛑"; }
.caveat.exclamation::before { content: "❗"; }
.caveat.alarm::before { content: "🚨"; }
.caveat.tip::before { content: "💡"; }
.tutorial_icon {
display: inline-block;
font-size: 1.3em;
line-height: 1;
vertical-align: middle;
transform: translateY(-10%);
padding: 0.2em 0;
}
.highlight {
background-color: yellow;
font-weight: bold;
}
#searchResults li {
opacity: 0;
transform: translateY(8px);
animation: fadeInUp 0.3s ease-out forwards;
animation-delay: 0.05s;
list-style: none;
margin-bottom: 5px;
}
@keyframes fadeInUp {
to {
opacity: 1;
transform: translateY(0);
}
}
.search_headline {
font-weight: bold;
margin-top: 1em;
margin-bottom: 0.3em;
color: #444;
}
.search_share_path {
color: black;
display: block ruby;
margin-top: 20px;
}
@media print {
#scads_bar {
display: none !important;
}
}
/*! XP.css v0.2.6 - https: //botoxparty.github.io/XP.css/ */
body{
color: #222
}
.surface{
background: #ece9d8
}
u{
text-decoration: none;
border-bottom: .5px solid #222
}
a{
color: #00f
}
a: focus{
outline: 1px dotted #00f
}
code,code *{
font-family: monospace
}
pre{
display: block;
padding: 12px 8px;
background-color: #000;
color: silver;
font-size: 1rem;
margin: 0;
overflow: scroll;
}
summary: focus{
outline: 1px dotted #000
}
: :-webkit-scrollbar{
width: 16px
}
: :-webkit-scrollbar: horizontal{
height: 17px
}
: :-webkit-scrollbar-track{
background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg width='2' height='2' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M1 0H0v1h1v1h1V1H1V0z' fill='silver'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M2 0H1v1H0v1h1V1h1V0z' fill='%23fff'/%3E%3C/svg%3E")
}
: :-webkit-scrollbar-thumb{
background-color: #dfdfdf;
box-shadow: inset -1px -1px #0a0a0a,inset 1px 1px #fff,inset -2px -2px grey,inset 2px 2px #dfdfdf
}
: :-webkit-scrollbar-button: horizontal: end: increment,: :-webkit-scrollbar-button: horizontal: start: decrement,: :-webkit-scrollbar-button: vertical: end: increment,: :-webkit-scrollbar-button: vertical: start: decrement{
display: block
}
: :-webkit-scrollbar-button: vertical: start{
background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg width='16' height='17' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M15 0H0v16h1V1h14V0z' fill='%23DFDFDF'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M2 1H1v14h1V2h12V1H2z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M16 17H0v-1h15V0h1v17z' fill='%23000'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M15 1h-1v14H1v1h14V1z' fill='gray'/%3E%3Cpath fill='silver' d='M2 2h12v13H2z'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M8 6H7v1H6v1H5v1H4v1h7V9h-1V8H9V7H8V6z' fill='%23000'/%3E%3C/svg%3E")
}
: :-webkit-scrollbar-button: vertical: end{
background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg width='16' height='17' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M15 0H0v16h1V1h14V0z' fill='%23DFDFDF'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M2 1H1v14h1V2h12V1H2z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M16 17H0v-1h15V0h1v17z' fill='%23000'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M15 1h-1v14H1v1h14V1z' fill='gray'/%3E%3Cpath fill='silver' d='M2 2h12v13H2z'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M11 6H4v1h1v1h1v1h1v1h1V9h1V8h1V7h1V6z' fill='%23000'/%3E%3C/svg%3E")
}
: :-webkit-scrollbar-button: horizontal: start{
width: 16px;
background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg width='16' height='17' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M15 0H0v16h1V1h14V0z' fill='%23DFDFDF'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M2 1H1v14h1V2h12V1H2z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M16 17H0v-1h15V0h1v17z' fill='%23000'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M15 1h-1v14H1v1h14V1z' fill='gray'/%3E%3Cpath fill='silver' d='M2 2h12v13H2z'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M9 4H8v1H7v1H6v1H5v1h1v1h1v1h1v1h1V4z' fill='%23000'/%3E%3C/svg%3E")
}
: :-webkit-scrollbar-button: horizontal: end{
width: 16px;
background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg width='16' height='17' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M15 0H0v16h1V1h14V0z' fill='%23DFDFDF'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M2 1H1v14h1V2h12V1H2z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M16 17H0v-1h15V0h1v17z' fill='%23000'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M15 1h-1v14H1v1h14V1z' fill='gray'/%3E%3Cpath fill='silver' d='M2 2h12v13H2z'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M7 4H6v7h1v-1h1V9h1V8h1V7H9V6H8V5H7V4z' fill='%23000'/%3E%3C/svg%3E")
}
button{
border: none;
background: #ece9d8;
box-shadow: inset -1px -1px #0a0a0a,inset 1px 1px #fff,inset -2px -2px grey,inset 2px 2px #dfdfdf;
border-radius: 0;
min-width: 75px;
min-height: 23px;
padding: 0 12px
}
button: not(: disabled).active,button: not(: disabled): active{
box-shadow: inset -1px -1px #fff,inset 1px 1px #0a0a0a,inset -2px -2px #dfdfdf,inset 2px 2px grey
}
button.focused,button: focus{
outline: 1px dotted #000;
outline-offset: -4px
}
label{
display: inline-flex;
align-items: center
}
textarea{
padding: 3px 4px;
border: none;
background-color: #fff;
box-sizing: border-box;
-webkit-appearance: none;
-moz-appearance: none;
appearance: none;
border-radius: 0
}
textarea: focus{
outline: none
}
select: focus option{
color: #000;
background-color: #fff
}
.vertical-bar{
width: 4px;
height: 20px;
background: silver;
box-shadow: inset -1px -1px #0a0a0a,inset 1px 1px #fff,inset -2px -2px grey,inset 2px 2px #dfdfdf
}
&: disabled,&: disabled+label{
color: grey;
text-shadow: 1px 1px 0 #fff
}
input[type=radio]+label{
line-height: 13px;
position: relative;
margin-left: 19px
}
input[type=radio]+label: before{
content: "";
position: absolute;
top: 0;
left: -19px;
display: inline-block;
width: 13px;
height: 13px;
margin-right: 6px;
background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='12' height='12' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M8 0H4v1H2v1H1v2H0v4h1v2h1V8H1V4h1V2h2V1h4v1h2V1H8V0z' fill='gray'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M8 1H4v1H2v2H1v4h1v1h1V8H2V4h1V3h1V2h4v1h2V2H8V1z' fill='%23000'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M9 3h1v1H9V3zm1 5V4h1v4h-1zm-2 2V9h1V8h1v2H8zm-4 0v1h4v-1H4zm0 0V9H2v1h2z' fill='%23DFDFDF'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M11 2h-1v2h1v4h-1v2H8v1H4v-1H2v1h2v1h4v-1h2v-1h1V8h1V4h-1V2z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M4 2h4v1h1v1h1v4H9v1H8v1H4V9H3V8H2V4h1V3h1V2z' fill='%23fff'/%3E%3C/svg%3E")
}
input[type=radio]: active+label: before{
background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='12' height='12' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M8 0H4v1H2v1H1v2H0v4h1v2h1V8H1V4h1V2h2V1h4v1h2V1H8V0z' fill='gray'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M8 1H4v1H2v2H1v4h1v1h1V8H2V4h1V3h1V2h4v1h2V2H8V1z' fill='%23000'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M9 3h1v1H9V3zm1 5V4h1v4h-1zm-2 2V9h1V8h1v2H8zm-4 0v1h4v-1H4zm0 0V9H2v1h2z' fill='%23DFDFDF'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M11 2h-1v2h1v4h-1v2H8v1H4v-1H2v1h2v1h4v-1h2v-1h1V8h1V4h-1V2z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M4 2h4v1h1v1h1v4H9v1H8v1H4V9H3V8H2V4h1V3h1V2z' fill='silver'/%3E%3C/svg%3E")
}
input[type=radio]: checked+label: after{
content: "";
display: block;
width: 5px;
height: 5px;
top: 5px;
left: -14px;
position: absolute;
background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='4' height='4' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M3 0H1v1H0v2h1v1h2V3h1V1H3V0z' fill='%23000'/%3E%3C/svg%3E")
}
input[type=radio][disabled]+label: before{
background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='12' height='12' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M8 0H4v1H2v1H1v2H0v4h1v2h1V8H1V4h1V2h2V1h4v1h2V1H8V0z' fill='gray'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M8 1H4v1H2v2H1v4h1v1h1V8H2V4h1V3h1V2h4v1h2V2H8V1z' fill='%23000'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M9 3h1v1H9V3zm1 5V4h1v4h-1zm-2 2V9h1V8h1v2H8zm-4 0v1h4v-1H4zm0 0V9H2v1h2z' fill='%23DFDFDF'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M11 2h-1v2h1v4h-1v2H8v1H4v-1H2v1h2v1h4v-1h2v-1h1V8h1V4h-1V2z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M4 2h4v1h1v1h1v4H9v1H8v1H4V9H3V8H2V4h1V3h1V2z' fill='silver'/%3E%3C/svg%3E")
}
input[type=radio][disabled]: checked+label: after{
background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='4' height='4' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M3 0H1v1H0v2h1v1h2V3h1V1H3V0z' fill='gray'/%3E%3C/svg%3E")
}
input[type=email],input[type=password]{
padding: 3px 4px;
border: 1px solid #7f9db9;
background-color: #fff;
box-sizing: border-box;
-webkit-appearance: none;
-moz-appearance: none;
appearance: none;
border-radius: 0;
height: 21px;
line-height: 2
}
input[type=email]: focus,input[type=password]: focus{
outline: none
}
input[type=range]{
-webkit-appearance: none;
width: 100%;
background: transparent
}
input[type=range]: focus{
outline: none
}
input[type=range]: :-webkit-slider-thumb{
-webkit-appearance: none;
background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='11' height='21' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M0 0v16h2v2h2v2h1v-1H3v-2H1V1h9V0z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M1 1v15h1v1h1v1h1v1h2v-1h1v-1h1v-1h1V1z' fill='%23C0C7C8'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M9 1h1v15H8v2H6v2H5v-1h2v-2h2z' fill='%2387888F'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M10 0h1v16H9v2H7v2H5v1h1v-2h2v-2h2z' fill='%23000'/%3E%3C/svg%3E")
}
input[type=range]: :-moz-range-thumb{
background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='11' height='21' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M0 0v16h2v2h2v2h1v-1H3v-2H1V1h9V0z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M1 1v15h1v1h1v1h1v1h2v-1h1v-1h1v-1h1V1z' fill='%23C0C7C8'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M9 1h1v15H8v2H6v2H5v-1h2v-2h2z' fill='%2387888F'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M10 0h1v16H9v2H7v2H5v1h1v-2h2v-2h2z' fill='%23000'/%3E%3C/svg%3E")
}
input[type=range]: :-webkit-slider-runnable-track{
background: #000;
border-right: 1px solid grey;
border-bottom: 1px solid grey;
box-shadow: 1px 0 0 #fff,1px 1px 0 #fff,0 1px 0 #fff,-1px 0 0 #a9a9a9,-1px -1px 0 #a9a9a9,0 -1px 0 #a9a9a9,-1px 1px 0 #fff,1px -1px #a9a9a9
}
input[type=range]: :-moz-range-track{
background: #000;
border-right: 1px solid grey;
border-bottom: 1px solid grey;
box-shadow: 1px 0 0 #fff,1px 1px 0 #fff,0 1px 0 #fff,-1px 0 0 #a9a9a9,-1px -1px 0 #a9a9a9,0 -1px 0 #a9a9a9,-1px 1px 0 #fff,1px -1px #a9a9a9
}
input[type=range].has-box-indicator: :-webkit-slider-thumb{
background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='11' height='21' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M0 0v20h1V1h9V0z' fill='%23fff'/%3E%3Cpath fill='%23C0C7C8' d='M1 1h8v18H1z'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M9 1h1v19H1v-1h8z' fill='%2387888F'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M10 0h1v21H0v-1h10z' fill='%23000'/%3E%3C/svg%3E")
}
input[type=range].has-box-indicator: :-moz-range-thumb{
background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='11' height='21' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M0 0v20h1V1h9V0z' fill='%23fff'/%3E%3Cpath fill='%23C0C7C8' d='M1 1h8v18H1z'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M9 1h1v19H1v-1h8z' fill='%2387888F'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M10 0h1v21H0v-1h10z' fill='%23000'/%3E%3C/svg%3E")
}
.is-vertical{
display: inline-block;
width: 4px;
height: 150px;
transform: translateY(50%)
}
.is-vertical>input[type=range]{
width: 150px;
height: 4px;
margin: 0 16px 0 10px;
transform-origin: left;
transform: rotate(270deg) translateX(calc(-50% + 8px))
}
.is-vertical>input[type=range]: :-webkit-slider-runnable-track{
border-left: 1px solid grey;
border-bottom: 1px solid grey;
box-shadow: -1px 0 0 #fff,-1px 1px 0 #fff,0 1px 0 #fff,1px 0 0 #a9a9a9,1px -1px 0 #a9a9a9,0 -1px 0 #a9a9a9,1px 1px 0 #fff,-1px -1px #a9a9a9
}
.is-vertical>input[type=range]: :-moz-range-track{
border-left: 1px solid grey;
border-bottom: 1px solid grey;
box-shadow: -1px 0 0 #fff,-1px 1px 0 #fff,0 1px 0 #fff,1px 0 0 #a9a9a9,1px -1px 0 #a9a9a9,0 -1px 0 #a9a9a9,1px 1px 0 #fff,-1px -1px #a9a9a9
}
.is-vertical>input[type=range]: :-webkit-slider-thumb{
transform: translateY(-8px) scaleX(-1)
}
.is-vertical>input[type=range]: :-moz-range-thumb{
transform: translateY(2px) scaleX(-1)
}
.is-vertical>input[type=range].has-box-indicator: :-webkit-slider-thumb{
transform: translateY(-10px) scaleX(-1)
}
.is-vertical>input[type=range].has-box-indicator: :-moz-range-thumb{
transform: translateY(0) scaleX(-1)
}
.window{
font-size: 11px;
box-shadow: inset -1px -1px #0a0a0a,inset 1px 1px #dfdfdf,inset -2px -2px grey,inset 2px 2px #fff;
background: #ece9d8;
padding: 3px
}
.window fieldset{
margin-bottom: 9px
}
.title-bar{
background: #000;
padding: 3px 2px 3px 3px;
display: flex;
justify-content: space-between;
align-items: center
}
.title-bar-text{
font-weight: 700;
color: #fff;
letter-spacing: 0;
margin-right: 24px
}
.title-bar-controls button{
padding: 0;
display: block;
min-width: 16px;
min-height: 14px
}
.title-bar-controls button: focus{
outline: none
}
.window-body{
margin: 8px
}
.window-body pre{
margin: -8px
}
.status-bar{
margin: 0 1px;
display: flex;
gap: 1px
}
.status-bar-field{
box-shadow: inset -1px -1px #dfdfdf,inset 1px 1px grey;
flex-grow: 1;
padding: 2px 3px;
margin: 0
}
ul.tree-view{
display: block;
background: #fff;
padding: 6px;
margin: 0
}
ul.tree-view li{
list-style-type: none;
margin-top: 3px
}
ul.tree-view a{
text-decoration: none;
color: #000
}
ul.tree-view a: focus{
background-color: #2267cb;
color: #fff
}
ul.tree-view ul{
margin-top: 3px;
margin-left: 16px;
padding-left: 16px;
border-left: 1px dotted grey
}
ul.tree-view ul>li{
position: relative
}
ul.tree-view ul>li: before{
content: "";
display: block;
position: absolute;
left: -16px;
top: 6px;
width: 12px;
border-bottom: 1px dotted grey
}
ul.tree-view ul>li: last-child: after{
content: "";
display: block;
position: absolute;
left: -20px;
top: 7px;
bottom: 0;
width: 8px;
background: #fff
}
ul.tree-view ul details>summary: before{
margin-left: -22px;
position: relative;
z-index: 1
}
ul.tree-view details{
margin-top: 0
}
ul.tree-view details>summary: before{
text-align: center;
display: block;
float: left;
content: "+";
border: 1px solid grey;
width: 8px;
height: 9px;
line-height: 9px;
margin-right: 5px;
padding-left: 1px;
background-color: #fff
}
ul.tree-view details[open] summary{
margin-bottom: 0
}
ul.tree-view details[open]>summary: before{
content: "-"
}
fieldset{
border-image: url("data: image/svg+xml;charset=utf-8,%3Csvg width='5' height='5' fill='gray' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M0 0h5v5H0V2h2v1h1V2H0' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M0 0h4v4H0V1h1v2h2V1H0'/%3E%3C/svg%3E") 2;
padding: 10px;
padding-block-start: 8px;
margin: 0
}
legend{
background: #ece9d8
}
menu[role=tablist]{
position: relative;
margin: 0 0 -2px;
text-indent: 0;
list-style-type: none;
display: flex;
padding-left: 3px
}
menu[role=tablist] button{
z-index: 1;
display: block;
color: #222;
text-decoration: none;
min-width: unset
}
menu[role=tablist] button[aria-selected=true]{
padding-bottom: 2px;margin-top: -2px;background-color: #ece9d8;position: relative;z-index: 8;margin-left: -3px;margin-bottom: 1px
}
menu[role=tablist] button: focus{
outline: 1px dotted #222;outline-offset: -4px
}
menu[role=tablist].justified button{
flex-grow: 1;text-align: center
}
[role=tabpanel]{
padding: 14px;clear: both;background: linear-gradient(180deg,#fcfcfe,#f4f3ee);border: 1px solid #919b9c;position: relative;z-index: 2;margin-bottom: 9px
}
: :-webkit-scrollbar{
width: 17px
}
: :-webkit-scrollbar-corner{
background: #dfdfdf
}
: :-webkit-scrollbar-track: vertical{
background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 17 1' shape-rendering='crispEdges'%3E%3Cpath stroke='%23eeede5' d='M0 0h1m15 0h1'/%3E%3Cpath stroke='%23f3f1ec' d='M1 0h1'/%3E%3Cpath stroke='%23f4f1ec' d='M2 0h1'/%3E%3Cpath stroke='%23f4f3ee' d='M3 0h1'/%3E%3Cpath stroke='%23f5f4ef' d='M4 0h1'/%3E%3Cpath stroke='%23f6f5f0' d='M5 0h1'/%3E%3Cpath stroke='%23f7f7f3' d='M6 0h1'/%3E%3Cpath stroke='%23f9f8f4' d='M7 0h1'/%3E%3Cpath stroke='%23f9f9f7' d='M8 0h1'/%3E%3Cpath stroke='%23fbfbf8' d='M9 0h1'/%3E%3Cpath stroke='%23fbfbf9' d='M10 0h2'/%3E%3Cpath stroke='%23fdfdfa' d='M12 0h1'/%3E%3Cpath stroke='%23fefefb' d='M13 0h3'/%3E%3C/svg%3E")
}
: :-webkit-scrollbar-track: horizontal{
background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 1 17' shape-rendering='crispEdges'%3E%3Cpath stroke='%23eeede5' d='M0 0h1M0 16h1'/%3E%3Cpath stroke='%23f3f1ec' d='M0 1h1'/%3E%3Cpath stroke='%23f4f1ec' d='M0 2h1'/%3E%3Cpath stroke='%23f4f3ee' d='M0 3h1'/%3E%3Cpath stroke='%23f5f4ef' d='M0 4h1'/%3E%3Cpath stroke='%23f6f5f0' d='M0 5h1'/%3E%3Cpath stroke='%23f7f7f3' d='M0 6h1'/%3E%3Cpath stroke='%23f9f8f4' d='M0 7h1'/%3E%3Cpath stroke='%23f9f9f7' d='M0 8h1'/%3E%3Cpath stroke='%23fbfbf8' d='M0 9h1'/%3E%3Cpath stroke='%23fbfbf9' d='M0 10h1m-1 1h1'/%3E%3Cpath stroke='%23fdfdfa' d='M0 12h1'/%3E%3Cpath stroke='%23fefefb' d='M0 13h1m-1 1h1m-1 1h1'/%3E%3C/svg%3E")
}
: :-webkit-scrollbar-thumb{
background-position: 50%;
background-repeat: no-repeat;
background-color: #c8d6fb;
background-size: 7px;
border: 1px solid #fff;
border-radius: 2px;
box-shadow: inset -3px 0 #bad1fc,inset 1px 1px #b7caf5
}
: :-webkit-scrollbar-thumb: vertical{
background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 7 8' shape-rendering='crispEdges'%3E%3Cpath stroke='%23eef4fe' d='M0 0h6M0 2h6M0 4h6M0 6h6'/%3E%3Cpath stroke='%23bad1fc' d='M6 0h1M6 2h1M6 4h1'/%3E%3Cpath stroke='%23c8d6fb' d='M0 1h1M0 3h1M0 5h1M0 7h1'/%3E%3Cpath stroke='%238cb0f8' d='M1 1h6M1 3h6M1 5h6M1 7h6'/%3E%3Cpath stroke='%23bad3fc' d='M6 6h1'/%3E%3C/svg%3E")
}
: :-webkit-scrollbar-thumb: horizontal{
background-size: 8px;background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 8 7' shape-rendering='crispEdges'%3E%3Cpath stroke='%23eef4fe' d='M0 0h1m1 0h1m1 0h1m1 0h1M0 1h1m1 0h1m1 0h1m1 0h1M0 2h1m1 0h1m1 0h1m1 0h1M0 3h1m1 0h1m1 0h1m1 0h1M0 4h1m1 0h1m1 0h1m1 0h1M0 5h1m1 0h1m1 0h1m1 0h1'/%3E%3Cpath stroke='%23c8d6fb' d='M1 0h1m1 0h1m1 0h1m1 0h1'/%3E%3Cpath stroke='%238cb0f8' d='M1 1h1m1 0h1m1 0h1m1 0h1M1 2h1m1 0h1m1 0h1m1 0h1M1 3h1m1 0h1m1 0h1m1 0h1M1 4h1m1 0h1m1 0h1m1 0h1M1 5h1m1 0h1m1 0h1m1 0h1M1 6h1m1 0h1m1 0h1m1 0h1'/%3E%3Cpath stroke='%23bad1fc' d='M0 6h1m1 0h1'/%3E%3Cpath stroke='%23bad3fc' d='M4 6h1m1 0h1'/%3E%3C/svg%3E")
}
: :-webkit-scrollbar-button: vertical: start{
height: 17px;
background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 17 17' shape-rendering='crispEdges'%3E%3Cpath stroke='%23eeede5' d='M0 0h1m15 0h1M0 1h1M0 2h1M0 3h1M0 4h1M0 5h1M0 6h1M0 7h1M0 8h1M0 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m15 0h1M0 16h1m15 0h1'/%3E%3Cpath stroke='%23fdfdfa' d='M1 0h1'/%3E%3Cpath stroke='%23fff' d='M2 0h14M1 1h1m13 0h1M1 2h1m13 0h1M1 3h1m13 0h1M1 4h1m13 0h1M1 5h1m13 0h1M1 6h1m13 0h1M1 7h1m13 0h1M1 8h1m13 0h1M1 9h1m13 0h1M1 10h1m13 0h1M1 11h1m13 0h1M1 12h1m13 0h1M1 13h1m13 0h1M1 14h1m13 0h1M2 15h13'/%3E%3Cpath stroke='%23e6eefc' d='M2 1h1'/%3E%3Cpath stroke='%23d0dffc' d='M3 1h1M2 2h1'/%3E%3Cpath stroke='%23cad8f9' d='M4 1h1M2 3h1'/%3E%3Cpath stroke='%23c4d2f7' d='M5 1h1'/%3E%3Cpath stroke='%23c0d0f7' d='M6 1h1'/%3E%3Cpath stroke='%23bdcef7' d='M7 1h1M2 6h1'/%3E%3Cpath stroke='%23bbcdf5' d='M8 1h1'/%3E%3Cpath stroke='%23b8cbf6' d='M9 1h1M2 7h1'/%3E%3Cpath stroke='%23b7caf5' d='M10 1h1M2 8h1'/%3E%3Cpath stroke='%23b5c8f7' d='M11 1h1'/%3E%3Cpath stroke='%23b3c7f5' d='M12 1h1'/%3E%3Cpath stroke='%23afc5f4' d='M13 1h1'/%3E%3Cpath stroke='%23dce6f9' d='M14 1h1'/%3E%3Cpath stroke='%23dfe2e1' d='M16 1h1'/%3E%3Cpath stroke='%23e1eafe' d='M3 2h1'/%3E%3Cpath stroke='%23dae6fe' d='M4 2h1M3 3h1'/%3E%3Cpath stroke='%23d4e1fc' d='M5 2h1M3 4h1'/%3E%3Cpath stroke='%23d1e0fd' d='M6 2h1M4 4h1'/%3E%3Cpath stroke='%23d0ddfc' d='M7 2h1M3 5h1'/%3E%3Cpath stroke='%23cedbfd' d='M8 2h1M6 3h1'/%3E%3Cpath stroke='%23cad9fd' d='M9 2h1M7 3h1M5 5h1'/%3E%3Cpath stroke='%23c8d8fb' d='M10 2h1'/%3E%3Cpath stroke='%23c5d6fc' d='M11 2h1m-8 8h1m1 0h1'/%3E%3Cpath stroke='%23c2d3fc' d='M12 2h1m-2 1h1m-9 7h1m0 1h1'/%3E%3Cpath stroke='%23bccefa' d='M13 2h1m-1 2h1m-9 9h2'/%3E%3Cpath stroke='%23b9c9f3' d='M14 2h1M5 14h3'/%3E%3Cpath stroke='%23cfd7dd' d='M16 2h1'/%3E%3Cpath stroke='%23d8e3fc' d='M4 3h1'/%3E%3Cpath stroke='%23d1defd' d='M5 3h1'/%3E%3Cpath stroke='%23c9d8fc' d='M8 3h1M6 4h2M5 6h2M3 7h1'/%3E%3Cpath stroke='%23c5d5fc' d='M9 3h1M3 9h1m3 0h1'/%3E%3Cpath stroke='%23c5d3fc' d='M10 3h1'/%3E%3Cpath stroke='%23bed0fc' d='M12 3h1M9 4h1m-7 7h1m0 1h1'/%3E%3Cpath stroke='%23bccdfa' d='M13 3h1'/%3E%3Cpath stroke='%23baccf4' d='M14 3h1'/%3E%3Cpath stroke='%23bdcbda' d='M16 3h1'/%3E%3Cpath stroke='%23c4d4f7' d='M2 4h1'/%3E%3Cpath stroke='%23cddbfc' d='M5 4h1M3 6h1'/%3E%3Cpath stroke='%23c8d5fb' d='M8 4h1'/%3E%3Cpath stroke='%23bbcefd' d='M10 4h3M9 5h1'/%3E%3Cpath stroke='%23bcccf3' d='M14 4h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23b1c2d5' d='M16 4h1'/%3E%3Cpath stroke='%23bed0f8' d='M2 5h1'/%3E%3Cpath stroke='%23ceddfd' d='M4 5h1'/%3E%3Cpath stroke='%23c8d6fb' d='M6 5h2M3 8h2'/%3E%3Cpath stroke='%234d6185' d='M8 5h1M7 6h3M6 7h5M5 8h3m1 0h3M4 9h3m3 0h3m-8 1h1m5 0h1'/%3E%3Cpath stroke='%23bacdfc' d='M10 5h1m1 0h2M3 12h1'/%3E%3Cpath stroke='%23b9cdfb' d='M11 5h1m-2 1h1m1 0h2m-1 1h1'/%3E%3Cpath stroke='%23a8bbd4' d='M16 5h1'/%3E%3Cpath stroke='%23cddafc' d='M4 6h1'/%3E%3Cpath stroke='%23b7cdfc' d='M11 6h1m0 1h1'/%3E%3Cpath stroke='%23a4b8d3' d='M16 6h1'/%3E%3Cpath stroke='%23cad8fd' d='M4 7h2'/%3E%3Cpath stroke='%23b6cefb' d='M11 7h1m0 1h1'/%3E%3Cpath stroke='%23bacbf4' d='M14 7h1'/%3E%3Cpath stroke='%23a0b5d3' d='M16 7h1m-1 1h1m-1 5h1'/%3E%3Cpath stroke='%23c1d3fb' d='M8 8h1'/%3E%3Cpath stroke='%23b6cdfb' d='M13 8h1m-5 5h1'/%3E%3Cpath stroke='%23b9cbf3' d='M14 8h1'/%3E%3Cpath stroke='%23b4c8f6' d='M2 9h1'/%3E%3Cpath stroke='%23c2d5fc' d='M8 9h1m-1 1h1m-3 1h2'/%3E%3Cpath stroke='%23bdd3fb' d='M9 9h1m-2 3h1'/%3E%3Cpath stroke='%23b5cdfa' d='M13 9h1'/%3E%3Cpath stroke='%23b5c9f3' d='M14 9h1'/%3E%3Cpath stroke='%239fb5d2' d='M16 9h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23b1c7f6' d='M2 10h1'/%3E%3Cpath stroke='%23c3d5fd' d='M7 10h1'/%3E%3Cpath stroke='%23bad4fc' d='M9 10h1m-1 1h1'/%3E%3Cpath stroke='%23b2cffb' d='M10 10h1m1 0h1m-2 2h1'/%3E%3Cpath stroke='%23b1cbfa' d='M13 10h1'/%3E%3Cpath stroke='%23b3c8f5' d='M14 10h1m-6 4h2'/%3E%3Cpath stroke='%23adc3f6' d='M2 11h1'/%3E%3Cpath stroke='%23c3d3fd' d='M5 11h1'/%3E%3Cpath stroke='%23c1d5fb' d='M8 11h1'/%3E%3Cpath stroke='%23b7d3fc' d='M10 11h1m-2 1h1'/%3E%3Cpath stroke='%23b3d1fc' d='M11 11h1'/%3E%3Cpath stroke='%23afcefb' d='M12 11h1'/%3E%3Cpath stroke='%23aecafa' d='M13 11h1'/%3E%3Cpath stroke='%23b1c8f3' d='M14 11h1'/%3E%3Cpath stroke='%23acc2f5' d='M2 12h1'/%3E%3Cpath stroke='%23c1d2fb' d='M5 12h1'/%3E%3Cpath stroke='%23bed1fc' d='M6 12h2'/%3E%3Cpath stroke='%23b6d1fb' d='M10 12h1'/%3E%3Cpath stroke='%23afccfb' d='M12 12h1'/%3E%3Cpath stroke='%23adc9f9' d='M13 12h1m-2 1h1'/%3E%3Cpath stroke='%23b1c5f3' d='M14 12h1'/%3E%3Cpath stroke='%23aac0f3' d='M2 13h1'/%3E%3Cpath stroke='%23b7cbf9' d='M3 13h1'/%3E%3Cpath stroke='%23b9cefb' d='M4 13h1'/%3E%3Cpath stroke='%23bbcef9' d='M7 13h1'/%3E%3Cpath stroke='%23b9cffb' d='M8 13h1'/%3E%3Cpath stroke='%23b2cdfb' d='M10 13h1'/%3E%3Cpath stroke='%23b0cbf9' d='M11 13h1'/%3E%3Cpath stroke='%23aec8f7' d='M13 13h1'/%3E%3Cpath stroke='%23b0c5f2' d='M14 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}
: :-webkit-scrollbar-button: vertical: end{
height: 17px;
background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 17 17' shape-rendering='crispEdges'%3E%3Cpath stroke='%23eeede5' d='M0 0h1m15 0h1M0 1h1M0 2h1M0 3h1M0 4h1M0 5h1M0 6h1M0 7h1M0 8h1M0 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m15 0h1M0 16h1m15 0h1'/%3E%3Cpath stroke='%23fdfdfa' d='M1 0h1'/%3E%3Cpath stroke='%23fff' d='M2 0h14M1 1h1m13 0h1M1 2h1m13 0h1M1 3h1m13 0h1M1 4h1m13 0h1M1 5h1m13 0h1M1 6h1m13 0h1M1 7h1m13 0h1M1 8h1m13 0h1M1 9h1m13 0h1M1 10h1m13 0h1M1 11h1m13 0h1M1 12h1m13 0h1M1 13h1m13 0h1M1 14h1m13 0h1M2 15h13'/%3E%3Cpath stroke='%23e6eefc' d='M2 1h1'/%3E%3Cpath stroke='%23d0dffc' d='M3 1h1M2 2h1'/%3E%3Cpath stroke='%23cad8f9' d='M4 1h1M2 3h1'/%3E%3Cpath stroke='%23c4d2f7' d='M5 1h1'/%3E%3Cpath stroke='%23c0d0f7' d='M6 1h1'/%3E%3Cpath stroke='%23bdcef7' d='M7 1h1M2 6h1'/%3E%3Cpath stroke='%23bbcdf5' d='M8 1h1'/%3E%3Cpath stroke='%23b8cbf6' d='M9 1h1M2 7h1'/%3E%3Cpath stroke='%23b7caf5' d='M10 1h1M2 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}
.window{
box-shadow: inset -1px -1px #00138c,inset 1px 1px #0831d9,inset -2px -2px #001ea0,inset 2px 2px #166aee,inset -3px -3px #003bda,inset 3px 3px #0855dd;
border-top-left-radius: 8px;
border-top-right-radius: 8px;
padding: 0 0 3px;
-webkit-font-smoothing: antialiased
}
.title-bar{
background: linear-gradient(180deg,#0997ff,#0053ee 8%,#0050ee 40%,#06f 88%,#06f 93%,#005bff 95%,#003dd7 96%,#003dd7);
padding: 3px 5px 3px 3px;
border-top: 1px solid #0831d9;
border-left: 1px solid #0831d9;
border-right: 1px solid #001ea0;
border-top-left-radius: 8px;
border-top-right-radius: 7px;
font-size: 13px;
text-shadow: 1px 1px #0f1089;
height: 21px
}
.title-bar-text{
padding-left: 3px
}
.title-bar-controls{
display: flex
}
.title-bar-controls button{
min-width: 21px;
min-height: 21px;
margin-left: 2px;
background-repeat: no-repeat;
background-position: 50%;
box-shadow: none;
background-color: #0050ee;
transition: background .1s;
border: none
}
.title-bar-controls button: active,.title-bar-controls button: focus,.title-bar-controls button: hover{
box-shadow: none!important
}
.title-bar-controls button[aria-label=Minimize]{
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}
.title-bar-controls button[aria-label=Maximize]: not(: disabled): active{
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}
.title-bar-controls button[aria-label=Restore]{
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}
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}
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stroke='%23b5381a' d='M9 4h1M4 9h1'/%3E%3Cpath stroke='%23b8391a' d='M10 4h1m-7 6h1'/%3E%3Cpath stroke='%23ba3a1b' d='M11 4h1m-8 7h2'/%3E%3Cpath stroke='%23bc3b1c' d='M12 4h1m-9 8h1'/%3E%3Cpath stroke='%23bd3c1c' d='M13 4h1m-1 1h1m-2 1h1m-7 6h1m-3 1h2'/%3E%3Cpath stroke='%23be3d1c' d='M14 4h3m-1 1h1m-1 1h1M4 14h1m-1 1h1m-1 1h2'/%3E%3Cpath stroke='%23bf3d1c' d='M17 4h3m-3 1h3m-2 1h2m-1 1h1M4 17h2m-2 1h4m-4 1h4'/%3E%3Cpath stroke='%235b1d0d' d='M1 5h1'/%3E%3Cpath stroke='%239c3016' d='M3 5h1'/%3E%3Cpath stroke='%23a43217' d='M4 5h1'/%3E%3Cpath stroke='%23b8553e' d='M5 5h1'/%3E%3Cpath stroke='%23d59485' d='M6 5h1M5 6h1'/%3E%3Cpath stroke='%23b33619' d='M7 5h1'/%3E%3Cpath stroke='%23b53719' d='M8 5h1'/%3E%3Cpath stroke='%23b8381a' d='M9 5h1M6 8h1'/%3E%3Cpath stroke='%23b9391b' d='M10 5h1'/%3E%3Cpath stroke='%23ba391b' d='M11 5h1M6 9h1m-2 1h1'/%3E%3Cpath stroke='%23bc3b1b' d='M12 5h1m-2 1h1m-6 5h1m-2 1h1'/%3E%3Cpath stroke='%23dc9887' d='M14 5h1'/%3E%3Cpath stroke='%23c85d42' d='M15 5h1M5 15h1'/%3E%3Cpath stroke='%23611f0e' d='M1 6h1'/%3E%3Cpath stroke='%23a23217' d='M3 6h1'/%3E%3Cpath stroke='%23d79585' d='M6 6h1'/%3E%3Cpath stroke='%23d89585' d='M7 6h1'/%3E%3Cpath stroke='%23b8371a' d='M8 6h1'/%3E%3Cpath stroke='%23ba391a' d='M9 6h1'/%3E%3Cpath stroke='%23bb3a1b' d='M10 6h1m-5 4h1'/%3E%3Cpath stroke='%23dd9887' d='M13 6h3m-4 1h1m-2 1h1M9 9h1m-2 2h1m-2 1h1m-2 1h1m-2 1h2'/%3E%3Cpath stroke='%23c03e1d' d='M17 6h1m-2 1h3m0 1h1m-1 1h1M7 16h1m-2 1h2m0 1h1'/%3E%3Cpath stroke='%2365200e' d='M1 7h1'/%3E%3Cpath stroke='%23902d15' d='M2 7h1'/%3E%3Cpath stroke='%23a73418' d='M3 7h1'/%3E%3Cpath stroke='%23af3518' d='M4 7h1'/%3E%3Cpath stroke='%23b43619' d='M5 7h1'/%3E%3Cpath stroke='%23d99585' d='M6 7h1'/%3E%3Cpath stroke='%23da9686' d='M7 7h1'/%3E%3Cpath stroke='%23db9686' d='M8 7h1M7 8h1'/%3E%3Cpath stroke='%23bc3a1b' d='M9 7h1M7 9h1'/%3E%3Cpath stroke='%23bd3b1b' d='M10 7h1m-4 3h1'/%3E%3Cpath stroke='%23be3c1c' d='M11 7h1m-2 1h1m-3 2h1m-2 1h1'/%3E%3Cpath stroke='%23de9987' d='M13 7h2m-3 1h2m-4 1h2m-3 1h1m-2 2h1m-2 2h1'/%3E%3Cpath stroke='%23c03f1d' d='M15 7h1m-9 8h1'/%3E%3Cpath stroke='%236a220f' d='M1 8h1'/%3E%3Cpath stroke='%23952f15' d='M2 8h1'/%3E%3Cpath stroke='%23ac3518' d='M3 8h1'/%3E%3Cpath stroke='%23b63719' d='M5 8h1'/%3E%3Cpath stroke='%23dc9786' d='M8 8h2M8 9h1'/%3E%3Cpath stroke='%23c2401d' d='M14 8h1m2 0h1m1 3h1M8 14h1m-1 2h1m-1 1h1m0 1h1m1 1h1'/%3E%3Cpath stroke='%23c2401e' d='M15 8h2m1 1h1M8 15h1'/%3E%3Cpath stroke='%23c13f1d' d='M18 8h1m0 2h1M9 19h2'/%3E%3Cpath stroke='%23702410' d='M1 9h1'/%3E%3Cpath stroke='%239b3016' d='M2 9h1'/%3E%3Cpath stroke='%23b03619' d='M3 9h1'/%3E%3Cpath stroke='%23b9381a' d='M5 9h1'/%3E%3Cpath stroke='%23df9a88' d='M12 9h1m-2 1h1m-2 1h1m-2 1h1'/%3E%3Cpath stroke='%23c4421e' d='M13 9h1m2 0h2m0 1h1M9 13h1m9 1h1m-1 1h1M9 16h1m9 0h1M9 17h1m0 1h1m3 1h3'/%3E%3Cpath stroke='%23c5431e' d='M14 9h1'/%3E%3Cpath stroke='%23c5431f' d='M15 9h1m-4 1h1m5 1h1m-9 1h1m-2 2h1m-1 1h1m0 2h1m0 1h1m6 0h1'/%3E%3Cpath stroke='%239e3217' d='M2 10h1'/%3E%3Cpath stroke='%23b4381a' d='M3 10h1'/%3E%3Cpath stroke='%23df9a87' d='M10 10h1m-2 1h1m-2 2h1'/%3E%3Cpath stroke='%23c6441f' d='M13 10h1m3 0h1m-8 3h1m-1 3h1'/%3E%3Cpath stroke='%23c74520' d='M14 10h2m-6 4h1m-1 1h1m7 2h1m-7 1h1m4 0h1'/%3E%3Cpath stroke='%23c7451f' d='M16 10h1m1 2h1'/%3E%3Cpath stroke='%237b2711' d='M1 11h1'/%3E%3Cpath stroke='%23a13217' d='M2 11h1'/%3E%3Cpath stroke='%23b7391a' d='M3 11h1'/%3E%3Cpath stroke='%23e09b88' d='M11 11h1'/%3E%3Cpath stroke='%23e29d89' d='M12 11h1'/%3E%3Cpath stroke='%23c94621' d='M13 11h1m-3 2h1'/%3E%3Cpath stroke='%23ca4721' d='M14 11h1m2 1h1m-7 2h1m-1 1h1m0 2h1m2 1h1'/%3E%3Cpath stroke='%23ca4821' d='M15 11h1m1 6h1'/%3E%3Cpath stroke='%23c94620' d='M16 11h1m1 3h1m-8 2h1m6 0h1'/%3E%3Cpath stroke='%23c84620' d='M17 11h1m0 2h1'/%3E%3Cpath stroke='%23a53418' d='M2 12h1'/%3E%3Cpath stroke='%23b83a1b' d='M3 12h1'/%3E%3Cpath stroke='%23e19d89' d='M11 12h1'/%3E%3Cpath stroke='%23e39e89' d='M12 12h1'/%3E%3Cpath stroke='%23e0947c' d='M13 12h1'/%3E%3Cpath stroke='%23cc4a22' d='M14 12h1m-3 2h1m4 0h1m-6 1h1'/%3E%3Cpath stroke='%23cd4a22' d='M15 12h1m0 1h1m0 2h1m-5 1h1m1 1h1'/%3E%3Cpath stroke='%23cb4922' d='M16 12h1m0 1h1m-5 4h1'/%3E%3Cpath stroke='%23c3411e' d='M19 12h1m-1 1h1m-1 4h1m-8 2h2m3 0h1'/%3E%3Cpath stroke='%23a93618' d='M2 13h1'/%3E%3Cpath stroke='%23dd9987' d='M7 13h1m-2 2h1'/%3E%3Cpath stroke='%23e39f8a' d='M12 13h1'/%3E%3Cpath stroke='%23e59f8b' d='M13 13h1'/%3E%3Cpath stroke='%23e5a08b' d='M14 13h1m-2 1h1'/%3E%3Cpath stroke='%23ce4c23' d='M15 13h1m0 3h1'/%3E%3Cpath stroke='%23882b13' d='M1 14h1'/%3E%3Cpath stroke='%23e6a08b' d='M14 14h1'/%3E%3Cpath stroke='%23e6a18b' d='M15 14h1m-2 1h1'/%3E%3Cpath stroke='%23ce4b23' d='M16 14h1m-4 1h1'/%3E%3Cpath stroke='%238b2c14' d='M1 15h1m-1 1h1'/%3E%3Cpath stroke='%23ac3619' d='M2 15h1'/%3E%3Cpath stroke='%23d76b48' d='M15 15h1'/%3E%3Cpath stroke='%23cf4c23' d='M16 15h1m-2 1h1'/%3E%3Cpath stroke='%23c94721' d='M18 15h1m-3 3h1'/%3E%3Cpath stroke='%23bb3c1b' d='M3 16h1'/%3E%3Cpath stroke='%23bf3e1d' d='M6 16h1'/%3E%3Cpath stroke='%23cb4821' d='M12 16h1'/%3E%3Cpath stroke='%23cd4b23' d='M14 16h1'/%3E%3Cpath stroke='%23cc4922' d='M17 16h1m-4 1h1m1 0h1'/%3E%3Cpath stroke='%238d2d14' d='M1 17h1'/%3E%3Cpath stroke='%23bc3c1b' d='M3 17h1m-1 1h1'/%3E%3Cpath stroke='%23c84520' d='M11 17h1m1 1h1'/%3E%3Cpath stroke='%23ae3719' d='M2 18h1'/%3E%3Cpath stroke='%23c94720' d='M14 18h1'/%3E%3Cpath stroke='%23c95839' d='M19 18h1'/%3E%3Cpath stroke='%23a7bdf0' d='M0 19h1m0 1h1'/%3E%3Cpath stroke='%23ead7d3' d='M1 19h1'/%3E%3Cpath stroke='%23b34e35' d='M2 19h1'/%3E%3Cpath stroke='%23c03e1c' d='M8 19h1'/%3E%3Cpath stroke='%23c9583a' d='M18 19h1'/%3E%3Cpath stroke='%23f3dbd4' d='M19 19h1'/%3E%3Cpath stroke='%23a7bcef' d='M20 19h1m-2 1h1'/%3E%3C/svg%3E")
}
.status-bar{
margin: 0 3px;
box-shadow: inset 0 1px 2px grey;
padding: 2px 1px;
gap: 0
}
.status-bar-field{
-webkit-font-smoothing: antialiased;
box-shadow: none;
padding: 1px 2px;
border-right: 1px solid rgba(208,206,191,.75);
border-left: 1px solid hsla(0,0%,100%,.75)
}
.status-bar-field: first-of-type{
border-left: none
}
.status-bar-field: last-of-type{
border-right: none
}
button{
-webkit-font-smoothing: antialiased;
box-sizing: border-box;
border: 1px solid #003c74;
background: linear-gradient(180deg,#fff,#ecebe5 86%,#d8d0c4);
box-shadow: none;
border-radius: 3px
}
button: not(: disabled).active,button: not(: disabled): active{
box-shadow: none;
background: linear-gradient(180deg,#cdcac3,#e3e3db 8%,#e5e5de 94%,#f2f2f1)
}
button: not(: disabled): hover{
box-shadow: inset -1px 1px #fff0cf,inset 1px 2px #fdd889,inset -2px 2px #fbc761,inset 2px -2px #e5a01a
}
button.focused,button: focus{
box-shadow: inset -1px 1px #cee7ff,inset 1px 2px #98b8ea,inset -2px 2px #bcd4f6,inset 1px -1px #89ade4,inset 2px -2px #89ade4
}
button: :-moz-focus-inner{
border: 0
}
input,label,option,select,textarea{
-webkit-font-smoothing: antialiased
}
input[type=radio]{
appearance: none;
-webkit-appearance: none;
-moz-appearance: none;
margin: 0;
background: 0;
position: fixed;
opacity: 0;
border: none
}
input[type=radio]+label{
line-height: 16px
}
input[type=radio]+label: before{
background: linear-gradient(135deg,#dcdcd7,#fff);
border-radius: 50%;
border: 1px solid #1d5281
}
input[type=radio]: not([disabled]): not(: active)+label: hover: before{
box-shadow: inset -2px -2px #f8b636,inset 2px 2px #fedf9c
}
input[type=radio]: active+label: before{
background: linear-gradient(135deg,#b0b0a7,#e3e1d2)
}
input[type=radio]: checked+label: after{
background: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 5 5' shape-rendering='crispEdges'%3E%3Cpath stroke='%23a9dca6' d='M1 0h1M0 1h1'/%3E%3Cpath stroke='%234dbf4a' d='M2 0h1M0 2h1'/%3E%3Cpath stroke='%23a0d29e' d='M3 0h1M0 3h1'/%3E%3Cpath stroke='%2355d551' d='M1 1h1'/%3E%3Cpath stroke='%2343c33f' d='M2 1h1'/%3E%3Cpath stroke='%2329a826' d='M3 1h1'/%3E%3Cpath stroke='%239acc98' d='M4 1h1M1 4h1'/%3E%3Cpath stroke='%2342c33f' d='M1 2h1'/%3E%3Cpath stroke='%2338b935' d='M2 2h1'/%3E%3Cpath stroke='%2321a121' d='M3 2h1'/%3E%3Cpath stroke='%23269623' d='M4 2h1'/%3E%3Cpath stroke='%232aa827' d='M1 3h1'/%3E%3Cpath stroke='%2322a220' d='M2 3h1'/%3E%3Cpath stroke='%23139210' d='M3 3h1'/%3E%3Cpath stroke='%2398c897' d='M4 3h1'/%3E%3Cpath stroke='%23249624' d='M2 4h1'/%3E%3Cpath stroke='%2398c997' d='M3 4h1'/%3E%3C/svg%3E")
}
input[type=radio]: focus+label{
outline: 1px dotted #000
}
input[type=radio][disabled]+label: before{
border: 1px solid #cac8bb;
background: #fff
}
input[type=radio][disabled]: checked+label: after{
background: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 5 5' shape-rendering='crispEdges'%3E%3Cpath stroke='%23e8e6da' d='M1 0h1M0 1h1'/%3E%3Cpath stroke='%23d2ceb5' d='M2 0h1M0 2h1'/%3E%3Cpath stroke='%23e5e3d4' d='M3 0h1M0 3h1'/%3E%3Cpath stroke='%23d7d3bd' d='M1 1h1'/%3E%3Cpath stroke='%23d0ccb2' d='M2 1h1M1 2h1'/%3E%3Cpath stroke='%23c7c2a2' d='M3 1h1M1 3h1'/%3E%3Cpath stroke='%23e2dfd0' d='M4 1h1M1 4h1'/%3E%3Cpath stroke='%23cdc8ac' d='M2 2h1'/%3E%3Cpath stroke='%23c5bf9f' d='M3 2h1M2 3h1'/%3E%3Cpath stroke='%23c3bd9c' d='M4 2h1'/%3E%3Cpath stroke='%23bfb995' d='M3 3h1'/%3E%3Cpath stroke='%23e2dfcf' d='M4 3h1M3 4h1'/%3E%3Cpath stroke='%23c4be9d' d='M2 4h1'/%3E%3C/svg%3E")
}
input[type=email],input[type=password],textarea: :selection{
background: #2267cb;
color: #fff
}
input[type=range]: :-webkit-slider-thumb{
height: 21px;
width: 11px;
background: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 11 21' shape-rendering='crispEdges'%3E%3Cpath stroke='%23becbd3' d='M1 0h1M0 1h1'/%3E%3Cpath stroke='%23b6c5cd' d='M2 0h1M0 2h1'/%3E%3Cpath stroke='%23b5c4cd' d='M3 0h5M0 3h1M0 4h1M0 5h1M0 6h1M0 7h1M0 8h1M0 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23afbfc8' d='M8 0h1M0 14h1'/%3E%3Cpath stroke='%239fb2be' d='M9 0h1M0 15h1'/%3E%3Cpath stroke='%23a6d1b1' d='M1 1h1'/%3E%3Cpath stroke='%236fd16e' d='M2 1h1M1 2h1'/%3E%3Cpath stroke='%2367ce65' d='M3 1h1M1 3h1'/%3E%3Cpath stroke='%2366ce64' d='M4 1h3'/%3E%3Cpath stroke='%2362cd61' d='M7 1h1'/%3E%3Cpath stroke='%2345c343' d='M8 1h1M7 2h1'/%3E%3Cpath stroke='%2363ac76' d='M9 1h1M2 16h1m0 1h1m0 1h1'/%3E%3Cpath stroke='%23879aa6' d='M10 1h1'/%3E%3Cpath stroke='%2363cd62' d='M2 2h1'/%3E%3Cpath stroke='%2349c547' d='M3 2h1M2 3h1'/%3E%3Cpath stroke='%2347c446' d='M4 2h3'/%3E%3Cpath stroke='%2321b71f' d='M8 2h1'/%3E%3Cpath stroke='%231da41c' d='M9 2h1'/%3E%3Cpath stroke='%237d8e99' d='M10 2h1'/%3E%3Cpath stroke='%2325b923' d='M3 3h1'/%3E%3Cpath stroke='%2321b81f' d='M4 3h4M2 15h1'/%3E%3Cpath stroke='%231ea71c' d='M8 3h1'/%3E%3Cpath stroke='%231b9619' d='M9 3h1'/%3E%3Cpath stroke='%23778892' d='M10 3h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f7f7f4' d='M1 4h1M1 5h1M1 6h1M1 7h1M1 8h1M1 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f5f5f2' d='M2 4h1M2 5h1M2 6h1M2 7h1M2 8h1M2 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f3f3ef' d='M3 4h5M3 5h5M3 6h5M3 7h5M3 8h5M3 9h5m-5 1h5m-5 1h5m-5 1h5m-5 1h4m-4 1h3m-2 1h1'/%3E%3Cpath stroke='%23dcdcd9' d='M8 4h1M8 5h1M8 6h1M8 7h1M8 8h1M8 9h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23c3c3c0' d='M9 4h1M9 5h1M9 6h1M9 7h1M9 8h1M9 9h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f1f1ed' d='M7 13h1m-2 1h1m-2 1h1'/%3E%3Cpath stroke='%23dbdbd8' d='M8 13h1'/%3E%3Cpath stroke='%23c4c4c1' d='M9 13h1'/%3E%3Cpath stroke='%234bc549' d='M1 14h1'/%3E%3Cpath stroke='%23f4f4f1' d='M2 14h1'/%3E%3Cpath stroke='%23e6e6e2' d='M7 14h1m-2 1h1'/%3E%3Cpath stroke='%23cececa' d='M8 14h1'/%3E%3Cpath stroke='%231a9319' d='M9 14h1'/%3E%3Cpath stroke='%23788993' d='M10 14h1'/%3E%3Cpath stroke='%2369b17b' d='M1 15h1'/%3E%3Cpath stroke='%23f2f2ee' d='M3 15h1m0 1h1'/%3E%3Cpath stroke='%23d0d0cc' d='M7 15h1m-2 1h1'/%3E%3Cpath stroke='%231a9118' d='M8 15h1m-2 1h1m-2 1h1'/%3E%3Cpath stroke='%234c845a' d='M9 15h1'/%3E%3Cpath stroke='%2372838d' d='M10 15h1'/%3E%3Cpath stroke='%2391a6b2' d='M1 16h1m0 1h1m0 1h1m0 1h1'/%3E%3Cpath stroke='%2321b61f' d='M3 16h1m0 1h1'/%3E%3Cpath stroke='%23e7e7e3' d='M5 16h1'/%3E%3Cpath stroke='%234b8259' d='M8 16h1m-2 1h1m-2 1h1'/%3E%3Cpath stroke='%236e7e88' d='M9 16h1m-2 1h1m-2 1h1m-2 1h1'/%3E%3Cpath stroke='%23d7d7d4' d='M5 17h1'/%3E%3Cpath stroke='%231da21b' d='M5 18h1'/%3E%3Cpath stroke='%23589868' d='M5 19h1'/%3E%3Cpath stroke='%2380929e' d='M5 20h1'/%3E%3C/svg%3E");
transform: translateY(-8px)
}
input[type=range]: :-moz-range-thumb{
height: 21px;
width: 11px;
border: 0;
border-radius: 0;
background: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 11 21' shape-rendering='crispEdges'%3E%3Cpath stroke='%23becbd3' d='M1 0h1M0 1h1'/%3E%3Cpath stroke='%23b6c5cd' d='M2 0h1M0 2h1'/%3E%3Cpath stroke='%23b5c4cd' d='M3 0h5M0 3h1M0 4h1M0 5h1M0 6h1M0 7h1M0 8h1M0 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23afbfc8' d='M8 0h1M0 14h1'/%3E%3Cpath stroke='%239fb2be' d='M9 0h1M0 15h1'/%3E%3Cpath stroke='%23a6d1b1' d='M1 1h1'/%3E%3Cpath stroke='%236fd16e' d='M2 1h1M1 2h1'/%3E%3Cpath stroke='%2367ce65' d='M3 1h1M1 3h1'/%3E%3Cpath stroke='%2366ce64' d='M4 1h3'/%3E%3Cpath stroke='%2362cd61' d='M7 1h1'/%3E%3Cpath stroke='%2345c343' d='M8 1h1M7 2h1'/%3E%3Cpath stroke='%2363ac76' d='M9 1h1M2 16h1m0 1h1m0 1h1'/%3E%3Cpath stroke='%23879aa6' d='M10 1h1'/%3E%3Cpath stroke='%2363cd62' d='M2 2h1'/%3E%3Cpath stroke='%2349c547' d='M3 2h1M2 3h1'/%3E%3Cpath stroke='%2347c446' d='M4 2h3'/%3E%3Cpath stroke='%2321b71f' d='M8 2h1'/%3E%3Cpath stroke='%231da41c' d='M9 2h1'/%3E%3Cpath stroke='%237d8e99' d='M10 2h1'/%3E%3Cpath stroke='%2325b923' d='M3 3h1'/%3E%3Cpath stroke='%2321b81f' d='M4 3h4M2 15h1'/%3E%3Cpath stroke='%231ea71c' d='M8 3h1'/%3E%3Cpath stroke='%231b9619' d='M9 3h1'/%3E%3Cpath stroke='%23778892' d='M10 3h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f7f7f4' d='M1 4h1M1 5h1M1 6h1M1 7h1M1 8h1M1 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f5f5f2' d='M2 4h1M2 5h1M2 6h1M2 7h1M2 8h1M2 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f3f3ef' d='M3 4h5M3 5h5M3 6h5M3 7h5M3 8h5M3 9h5m-5 1h5m-5 1h5m-5 1h5m-5 1h4m-4 1h3m-2 1h1'/%3E%3Cpath stroke='%23dcdcd9' d='M8 4h1M8 5h1M8 6h1M8 7h1M8 8h1M8 9h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23c3c3c0' d='M9 4h1M9 5h1M9 6h1M9 7h1M9 8h1M9 9h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f1f1ed' d='M7 13h1m-2 1h1m-2 1h1'/%3E%3Cpath stroke='%23dbdbd8' d='M8 13h1'/%3E%3Cpath stroke='%23c4c4c1' d='M9 13h1'/%3E%3Cpath stroke='%234bc549' d='M1 14h1'/%3E%3Cpath stroke='%23f4f4f1' d='M2 14h1'/%3E%3Cpath stroke='%23e6e6e2' d='M7 14h1m-2 1h1'/%3E%3Cpath stroke='%23cececa' d='M8 14h1'/%3E%3Cpath stroke='%231a9319' d='M9 14h1'/%3E%3Cpath stroke='%23788993' d='M10 14h1'/%3E%3Cpath stroke='%2369b17b' d='M1 15h1'/%3E%3Cpath stroke='%23f2f2ee' d='M3 15h1m0 1h1'/%3E%3Cpath stroke='%23d0d0cc' d='M7 15h1m-2 1h1'/%3E%3Cpath stroke='%231a9118' d='M8 15h1m-2 1h1m-2 1h1'/%3E%3Cpath stroke='%234c845a' d='M9 15h1'/%3E%3Cpath stroke='%2372838d' d='M10 15h1'/%3E%3Cpath stroke='%2391a6b2' d='M1 16h1m0 1h1m0 1h1m0 1h1'/%3E%3Cpath stroke='%2321b61f' d='M3 16h1m0 1h1'/%3E%3Cpath stroke='%23e7e7e3' d='M5 16h1'/%3E%3Cpath stroke='%234b8259' d='M8 16h1m-2 1h1m-2 1h1'/%3E%3Cpath stroke='%236e7e88' d='M9 16h1m-2 1h1m-2 1h1m-2 1h1'/%3E%3Cpath stroke='%23d7d7d4' d='M5 17h1'/%3E%3Cpath stroke='%231da21b' d='M5 18h1'/%3E%3Cpath stroke='%23589868' d='M5 19h1'/%3E%3Cpath stroke='%2380929e' d='M5 20h1'/%3E%3C/svg%3E");
transform: translateY(2px)
}
input[type=range]: :-webkit-slider-runnable-track{
width: 100%;
height: 2px;
box-sizing: border-box;
background: #ecebe4;
border-right: 1px solid #f3f2ea;
border-bottom: 1px solid #f3f2ea;
border-radius: 2px;
box-shadow: 1px 0 0 #fff,1px 1px 0 #fff,0 1px 0 #fff,-1px 0 0 #9d9c99,-1px -1px 0 #9d9c99,0 -1px 0 #9d9c99,-1px 1px 0 #fff,1px -1px #9d9c99
}
input[type=range]: :-moz-range-track{
width: 100%;
height: 2px;
box-sizing: border-box;
background: #ecebe4;
border-right: 1px solid #f3f2ea;
border-bottom: 1px solid #f3f2ea;
border-radius: 2px;
box-shadow: 1px 0 0 #fff,1px 1px 0 #fff,0 1px 0 #fff,-1px 0 0 #9d9c99,-1px -1px 0 #9d9c99,0 -1px 0 #9d9c99,-1px 1px 0 #fff,1px -1px #9d9c99
}
input[type=range].has-box-indicator: :-webkit-slider-thumb{
background: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 11 22' shape-rendering='crispEdges'%3E%3Cpath stroke='%23f2f1e7' d='M0 0h1m9 0h1M0 21h1m9 0h1'/%3E%3Cpath stroke='%23879aa6' d='M1 0h1m8 20h1'/%3E%3Cpath stroke='%237d8e99' d='M2 0h1m7 19h1'/%3E%3Cpath stroke='%23778892' d='M3 0h5m2 3h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23788993' d='M8 0h1m1 2h1'/%3E%3Cpath stroke='%2372838d' d='M9 0h1m0 1h1'/%3E%3Cpath stroke='%239fb2be' d='M0 1h1m8 20h1'/%3E%3Cpath stroke='%2363af76' d='M1 1h1m7 19h1'/%3E%3Cpath stroke='%231eab1c' d='M2 1h1m6 18h1'/%3E%3Cpath stroke='%231c9d1a' d='M3 1h1'/%3E%3Cpath stroke='%231b9a1a' d='M4 1h3m1 0h1m0 1h1'/%3E%3Cpath stroke='%231b9b1a' d='M7 1h1'/%3E%3Cpath stroke='%234d875b' d='M9 1h1'/%3E%3Cpath stroke='%23afbfc8' d='M0 2h1m7 19h1'/%3E%3Cpath stroke='%2346ca44' d='M1 2h1m5 17h1m0 1h1'/%3E%3Cpath stroke='%2322be20' d='M2 2h1m5 17h1'/%3E%3Cpath stroke='%231faf1d' d='M3 2h1'/%3E%3Cpath stroke='%231fae1d' d='M4 2h3'/%3E%3Cpath stroke='%231fad1d' d='M7 2h1'/%3E%3Cpath stroke='%231da11b' d='M8 2h1'/%3E%3Cpath stroke='%23b5c4cd' d='M0 3h1M0 4h1M0 5h1M0 6h1M0 7h1M0 8h1M0 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m2 3h5'/%3E%3Cpath stroke='%23f7f7f4' d='M1 3h1M1 4h1M1 5h1M1 6h1M1 7h1M1 8h1M1 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f5f5f2' d='M2 3h1M2 4h1M2 5h1M2 6h1M2 7h1M2 8h1M2 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f3f3ef' d='M3 3h4M3 4h5M3 5h5M3 6h5M3 7h5M3 8h5M3 9h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5'/%3E%3Cpath stroke='%23f1f1ed' d='M7 3h1'/%3E%3Cpath stroke='%23dbdbd8' d='M8 3h1'/%3E%3Cpath stroke='%23c4c4c1' d='M9 3h1'/%3E%3Cpath stroke='%23ddddd9' d='M8 4h1M8 18h1'/%3E%3Cpath stroke='%23c6c6c3' d='M9 4h1M9 18h1'/%3E%3Cpath stroke='%23dcdcd9' d='M8 5h1M8 6h1M8 7h1M8 8h1M8 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23c3c3c0' d='M9 5h1M9 6h1M9 7h1M9 8h1M9 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23b6c5cd' d='M0 19h1m1 2h1'/%3E%3Cpath stroke='%2370d66f' d='M1 19h1m0 1h1'/%3E%3Cpath stroke='%2364d362' d='M2 19h1'/%3E%3Cpath stroke='%234acb48' d='M3 19h1'/%3E%3Cpath stroke='%2348cb46' d='M4 19h3'/%3E%3Cpath stroke='%23becbd3' d='M0 20h1m0 1h1'/%3E%3Cpath stroke='%23a6d2b1' d='M1 20h1'/%3E%3Cpath stroke='%2367d466' d='M3 20h1'/%3E%3Cpath stroke='%2366d465' d='M4 20h3'/%3E%3Cpath stroke='%2363d362' d='M7 20h1'/%3E%3C/svg%3E");transform: translateY(-10px)
}
input[type=range].has-box-indicator: :-moz-range-thumb{
background: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 11 22' shape-rendering='crispEdges'%3E%3Cpath stroke='%23f2f1e7' d='M0 0h1m9 0h1M0 21h1m9 0h1'/%3E%3Cpath stroke='%23879aa6' d='M1 0h1m8 20h1'/%3E%3Cpath stroke='%237d8e99' d='M2 0h1m7 19h1'/%3E%3Cpath stroke='%23778892' d='M3 0h5m2 3h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23788993' d='M8 0h1m1 2h1'/%3E%3Cpath stroke='%2372838d' d='M9 0h1m0 1h1'/%3E%3Cpath stroke='%239fb2be' d='M0 1h1m8 20h1'/%3E%3Cpath stroke='%2363af76' d='M1 1h1m7 19h1'/%3E%3Cpath stroke='%231eab1c' d='M2 1h1m6 18h1'/%3E%3Cpath stroke='%231c9d1a' d='M3 1h1'/%3E%3Cpath stroke='%231b9a1a' d='M4 1h3m1 0h1m0 1h1'/%3E%3Cpath stroke='%231b9b1a' d='M7 1h1'/%3E%3Cpath stroke='%234d875b' d='M9 1h1'/%3E%3Cpath stroke='%23afbfc8' d='M0 2h1m7 19h1'/%3E%3Cpath stroke='%2346ca44' d='M1 2h1m5 17h1m0 1h1'/%3E%3Cpath stroke='%2322be20' d='M2 2h1m5 17h1'/%3E%3Cpath stroke='%231faf1d' d='M3 2h1'/%3E%3Cpath stroke='%231fae1d' d='M4 2h3'/%3E%3Cpath stroke='%231fad1d' d='M7 2h1'/%3E%3Cpath stroke='%231da11b' d='M8 2h1'/%3E%3Cpath stroke='%23b5c4cd' d='M0 3h1M0 4h1M0 5h1M0 6h1M0 7h1M0 8h1M0 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m2 3h5'/%3E%3Cpath stroke='%23f7f7f4' d='M1 3h1M1 4h1M1 5h1M1 6h1M1 7h1M1 8h1M1 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f5f5f2' d='M2 3h1M2 4h1M2 5h1M2 6h1M2 7h1M2 8h1M2 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f3f3ef' d='M3 3h4M3 4h5M3 5h5M3 6h5M3 7h5M3 8h5M3 9h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5'/%3E%3Cpath stroke='%23f1f1ed' d='M7 3h1'/%3E%3Cpath stroke='%23dbdbd8' d='M8 3h1'/%3E%3Cpath stroke='%23c4c4c1' d='M9 3h1'/%3E%3Cpath stroke='%23ddddd9' d='M8 4h1M8 18h1'/%3E%3Cpath stroke='%23c6c6c3' d='M9 4h1M9 18h1'/%3E%3Cpath stroke='%23dcdcd9' d='M8 5h1M8 6h1M8 7h1M8 8h1M8 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23c3c3c0' d='M9 5h1M9 6h1M9 7h1M9 8h1M9 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23b6c5cd' d='M0 19h1m1 2h1'/%3E%3Cpath stroke='%2370d66f' d='M1 19h1m0 1h1'/%3E%3Cpath stroke='%2364d362' d='M2 19h1'/%3E%3Cpath stroke='%234acb48' d='M3 19h1'/%3E%3Cpath stroke='%2348cb46' d='M4 19h3'/%3E%3Cpath stroke='%23becbd3' d='M0 20h1m0 1h1'/%3E%3Cpath stroke='%23a6d2b1' d='M1 20h1'/%3E%3Cpath stroke='%2367d466' d='M3 20h1'/%3E%3Cpath stroke='%2366d465' d='M4 20h3'/%3E%3Cpath stroke='%2363d362' d='M7 20h1'/%3E%3C/svg%3E");transform: translateY(0)
}
.is-vertical>input[type=range]: :-webkit-slider-runnable-track{
border-left: 1px solid #f3f2ea;
border-right: 0;
border-bottom: 1px solid #f3f2ea;
box-shadow: -1px 0 0 #fff,-1px 1px 0 #fff,0 1px 0 #fff,1px 0 0 #9d9c99,1px -1px 0 #9d9c99,0 -1px 0 #9d9c99,1px 1px 0 #fff,-1px -1px #9d9c99
}
.is-vertical>input[type=range]: :-moz-range-track{
border-left: 1px solid #f3f2ea;
border-right: 0;
border-bottom: 1px solid #f3f2ea;
box-shadow: -1px 0 0 #fff,-1px 1px 0 #fff,0 1px 0 #fff,1px 0 0 #9d9c99,1px -1px 0 #9d9c99,0 -1px 0 #9d9c99,1px 1px 0 #fff,-1px -1px #9d9c99
}
fieldset{
box-shadow: none;
background: #fff;
border: 1px solid #d0d0bf;
border-radius: 4px;
padding-top: 10px
}
legend{
background: transparent;
color: #0046d5
}
.field-row{
display: flex;
align-items: center
}
.field-row>*+*{
margin-left: 6px
}
[class^=field-row]+[class^=field-row]{
margin-top: 6px
}
.field-row-stacked{
display: flex;
flex-direction: column
}
.field-row-stacked *+*{
margin-top: 6px
}
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50
],
[
1727681513,
594.5859375,
56.5
],
[
1727681513,
594.5859375,
50
],
[
1727681513,
594.5859375,
45.7
],
[
1727681520,
594.55078125,
50
],
[
1727681520,
594.55078125,
54.3
],
[
1727681520,
594.55078125,
50.9
],
[
1727681520,
594.55078125,
37.5
],
[
1727681527,
594.546875,
50
],
[
1727681527,
594.546875,
38.2
],
[
1727681527,
594.546875,
50
],
[
1727681527,
594.546875,
57.8
],
[
1727681534,
594.59375,
50
],
[
1727681534,
594.59375,
38.9
],
[
1727681534,
594.59375,
50.1
],
[
1727681534,
594.59375,
54.3
],
[
1727681547,
594.58984375,
50
],
[
1727681547,
594.58984375,
51.2
],
[
1727681547,
594.58984375,
49.6
],
[
1727681547,
594.58984375,
56.5
],
[
1727681556,
594.5546875,
50
],
[
1727681556,
594.5546875,
55.3
],
[
1727681556,
594.5546875,
49.5
],
[
1727681556,
594.5546875,
53.5
],
[
1727681564,
594.59765625,
50
],
[
1727681564,
594.59765625,
54.2
],
[
1727681564,
594.59765625,
50.4
],
[
1727681564,
594.59765625,
39.4
],
[
1727681573,
594.55078125,
50
],
[
1727681573,
594.55078125,
55.6
],
[
1727681573,
594.55078125,
49.7
],
[
1727681573,
594.55078125,
53.7
],
[
1727681581,
594.5859375,
50
],
[
1727681581,
594.5859375,
55.6
],
[
1727681582,
594.5859375,
49.8
],
[
1727681582,
594.5859375,
56.8
],
[
1727681590,
594.58984375,
50
],
[
1727681590,
594.58984375,
41.7
],
[
1727681590,
594.58984375,
50.7
],
[
1727681590,
594.58984375,
39.4
],
[
1727681599,
594.55078125,
50
],
[
1727681599,
594.55078125,
54.3
],
[
1727681599,
594.55078125,
49.5
],
[
1727681599,
594.55078125,
58.7
],
[
1727681607,
594.58984375,
50
],
[
1727681607,
594.58984375,
38.9
],
[
1727681607,
594.58984375,
50.9
],
[
1727681607,
594.58984375,
40.6
],
[
1727681615,
594.59765625,
50
],
[
1727681615,
594.59765625,
54.2
],
[
1727681615,
594.59765625,
49.7
],
[
1727681615,
594.59765625,
55.6
],
[
1727681624,
594.546875,
50
],
[
1727681624,
594.546875,
55.6
],
[
1727681624,
594.546875,
50
],
[
1727681624,
594.546875,
50
],
[
1727681633,
594.5546875,
50
],
[
1727681633,
594.5546875,
39.4
],
[
1727681633,
594.5546875,
50.6
],
[
1727681633,
594.5546875,
39.4
],
[
1727681641,
594.58984375,
50
],
[
1727681641,
594.58984375,
53.2
],
[
1727681641,
594.58984375,
49.7
],
[
1727681641,
594.58984375,
51.2
],
[
1727681650,
594.578125,
50
],
[
1727681650,
594.578125,
50
],
[
1727681650,
594.578125,
50.8
],
[
1727681650,
594.578125,
37.5
],
[
1727681658,
594.61328125,
50
],
[
1727681658,
594.61328125,
55.6
],
[
1727681659,
594.61328125,
49.6
],
[
1727681659,
594.61328125,
56.8
],
[
1727681667,
594.56640625,
50
],
[
1727681667,
594.56640625,
56.5
],
[
1727681667,
594.56640625,
49.6
],
[
1727681667,
594.56640625,
57.8
],
[
1727681676,
594.61328125,
50
],
[
1727681676,
594.61328125,
55.3
],
[
1727681676,
594.61328125,
49.4
],
[
1727681676,
594.61328125,
56.5
],
[
1727681684,
594.60546875,
50
],
[
1727681684,
594.60546875,
54.2
],
[
1727681684,
594.60546875,
49.5
],
[
1727681684,
594.60546875,
55.6
],
[
1727681693,
594.5703125,
50
],
[
1727681693,
594.5703125,
41.2
],
[
1727681693,
594.5703125,
50
],
[
1727681693,
594.5703125,
54.2
],
[
1727681701,
594.6171875,
50
],
[
1727681701,
594.6171875,
41.7
],
[
1727681701,
594.6171875,
50.8
],
[
1727681701,
594.6171875,
37.5
]
];
var tab_main_worker_cpu_ram_headers_json = [
"timestamp",
"ram_usage_mb",
"cpu_usage_percent"
];
"use strict";
function add_default_layout_data (layout, no_height = 0) {
layout["width"] = get_graph_width();
if (!no_height) {
layout["height"] = get_graph_height();
}
layout["paper_bgcolor"] = 'rgba(0,0,0,0)';
layout["plot_bgcolor"] = 'rgba(0,0,0,0)';
return layout;
}
function get_marker_size() {
return 12;
}
function get_text_color() {
return theme == "dark" ? "white" : "black";
}
function get_font_size() {
return 14;
}
function get_graph_height() {
return 800;
}
function get_font_data() {
return {
size: get_font_size(),
color: get_text_color()
}
}
function get_axis_title_data(name, axis_type = "") {
if(axis_type) {
return {
text: name,
type: axis_type,
font: get_font_data()
};
}
return {
text: name,
font: get_font_data()
};
}
function get_graph_width() {
var width = document.body.clientWidth || window.innerWidth || document.documentElement.clientWidth;
return Math.max(800, Math.floor(width * 0.9));
}
function createTable(data, headers, table_name) {
if (!$("#" + table_name).length) {
console.error("#" + table_name + " not found");
return;
}
new gridjs.Grid({
columns: headers,
data: data,
search: true,
sort: true,
ellipsis: false
}).render(document.getElementById(table_name));
if (typeof apply_theme_based_on_system_preferences === 'function') {
apply_theme_based_on_system_preferences();
}
colorize_table_entries();
add_colorize_to_gridjs_table();
}
function download_as_file(id, filename) {
var text = $("#" + id).text();
var blob = new Blob([text], {
type: "text/plain"
});
var link = document.createElement("a");
link.href = URL.createObjectURL(blob);
link.download = filename;
document.body.appendChild(link);
link.click();
document.body.removeChild(link);
}
function copy_to_clipboard_from_id (id) {
var text = $("#" + id).text();
copy_to_clipboard(text);
}
function copy_to_clipboard(text) {
if (!navigator.clipboard) {
let textarea = document.createElement("textarea");
textarea.value = text;
document.body.appendChild(textarea);
textarea.select();
try {
document.execCommand("copy");
} catch (err) {
console.error("Copy failed:", err);
}
document.body.removeChild(textarea);
return;
}
navigator.clipboard.writeText(text).then(() => {
console.log("Text copied to clipboard");
}).catch(err => {
console.error("Failed to copy text:", err);
});
}
function filterNonEmptyRows(data) {
var new_data = [];
for (var row_idx = 0; row_idx < data.length; row_idx++) {
var line = data[row_idx];
var line_has_empty_data = false;
for (var col_idx = 0; col_idx < line.length; col_idx++) {
var col_header_name = tab_results_headers_json[col_idx];
var single_data_point = line[col_idx];
if(single_data_point === "" && !special_col_names.includes(col_header_name)) {
line_has_empty_data = true;
continue;
}
}
if(!line_has_empty_data) {
new_data.push(line);
}
}
return new_data;
}
function make_text_in_parallel_plot_nicer() {
$(".parcoords g > g > text").each(function() {
if (theme == "dark") {
$(this)
.css("text-shadow", "unset")
.css("font-size", "0.9em")
.css("fill", "white")
.css("stroke", "black")
.css("stroke-width", "2px")
.css("paint-order", "stroke fill");
} else {
$(this)
.css("text-shadow", "unset")
.css("font-size", "0.9em")
.css("fill", "black")
.css("stroke", "unset")
.css("stroke-width", "unset")
.css("paint-order", "stroke fill");
}
});
}
function createParallelPlot(dataArray, headers, resultNames, ignoreColumns = []) {
if ($("#parallel-plot").data("loaded") == "true") {
return;
}
dataArray = filterNonEmptyRows(dataArray);
const ignoreSet = new Set(ignoreColumns);
const numericalCols = [];
const categoricalCols = [];
const categoryMappings = {};
headers.forEach((header, colIndex) => {
if (ignoreSet.has(header)) return;
const values = dataArray.map(row => row[colIndex]);
if (values.every(val => !isNaN(parseFloat(val)))) {
numericalCols.push({ name: header, index: colIndex });
} else {
categoricalCols.push({ name: header, index: colIndex });
const uniqueValues = [...new Set(values)];
categoryMappings[header] = Object.fromEntries(uniqueValues.map((val, i) => [val, i]));
}
});
const dimensions = [];
numericalCols.forEach(col => {
dimensions.push({
label: col.name,
values: dataArray.map(row => parseFloat(row[col.index])),
range: [
Math.min(...dataArray.map(row => parseFloat(row[col.index]))),
Math.max(...dataArray.map(row => parseFloat(row[col.index])))
]
});
});
categoricalCols.forEach(col => {
dimensions.push({
label: col.name,
values: dataArray.map(row => categoryMappings[col.name][row[col.index]]),
tickvals: Object.values(categoryMappings[col.name]),
ticktext: Object.keys(categoryMappings[col.name])
});
});
let colorScale = null;
let colorValues = null;
if (resultNames.length > 1) {
let selectBox = '<select id="result-select" style="margin-bottom: 10px;">';
selectBox += '<option value="none">No color</option>';
var k = 0;
resultNames.forEach(resultName => {
var minMax = result_min_max[k];
if(minMax === undefined) {
minMax = "min [automatically chosen]"
}
selectBox += `<option value="${resultName}">${resultName} (${minMax})</option>`;
k = k + 1;
});
selectBox += '</select>';
$("#parallel-plot").before(selectBox);
$("#result-select").change(function() {
const selectedResult = $(this).val();
if (selectedResult === "none") {
colorValues = null;
colorScale = null;
} else {
const resultCol = numericalCols.find(col => col.name.toLowerCase() === selectedResult.toLowerCase());
colorValues = dataArray.map(row => parseFloat(row[resultCol.index]));
let minResult = Math.min(...colorValues);
let maxResult = Math.max(...colorValues);
var _result_min_max_idx = result_names.indexOf(selectedResult);
let invertColor = false;
if (result_min_max.length > _result_min_max_idx) {
invertColor = result_min_max[_result_min_max_idx] === "max";
}
colorScale = invertColor
? [[0, 'red'], [1, 'green']]
: [[0, 'green'], [1, 'red']];
}
updatePlot();
});
} else {
let invertColor = false;
if (Object.keys(result_min_max).length == 1) {
invertColor = result_min_max[0] === "max";
}
colorScale = invertColor
? [[0, 'red'], [1, 'green']]
: [[0, 'green'], [1, 'red']];
const resultCol = numericalCols.find(col => col.name.toLowerCase() === resultNames[0].toLowerCase());
colorValues = dataArray.map(row => parseFloat(row[resultCol.index]));
}
function updatePlot() {
const trace = {
type: 'parcoords',
dimensions: dimensions,
line: colorValues ? { color: colorValues, colorscale: colorScale } : {},
unselected: {
line: {
color: get_text_color(),
opacity: 0
}
},
};
dimensions.forEach(dim => {
if (!dim.line) {
dim.line = {};
}
if (!dim.line.color) {
dim.line.color = 'rgba(169,169,169, 0.01)';
}
});
Plotly.newPlot('parallel-plot', [trace], add_default_layout_data({}));
make_text_in_parallel_plot_nicer();
}
updatePlot();
$("#parallel-plot").data("loaded", "true");
make_text_in_parallel_plot_nicer();
}
function plotWorkerUsage() {
if($("#workerUsagePlot").data("loaded") == "true") {
return;
}
var data = tab_worker_usage_csv_json;
if (!Array.isArray(data) || data.length === 0) {
console.error("Invalid or empty data provided.");
return;
}
let timestamps = [];
let desiredWorkers = [];
let realWorkers = [];
for (let i = 0; i < data.length; i++) {
let entry = data[i];
if (!Array.isArray(entry) || entry.length < 3) {
console.warn("Skipping invalid entry:", entry);
continue;
}
let unixTime = parseFloat(entry[0]);
let desired = parseInt(entry[1], 10);
let real = parseInt(entry[2], 10);
if (isNaN(unixTime) || isNaN(desired) || isNaN(real)) {
console.warn("Skipping invalid numerical values:", entry);
continue;
}
timestamps.push(new Date(unixTime * 1000).toISOString());
desiredWorkers.push(desired);
realWorkers.push(real);
}
let trace1 = {
x: timestamps,
y: desiredWorkers,
mode: 'lines+markers',
name: 'Desired Workers',
line: {
color: 'blue'
}
};
let trace2 = {
x: timestamps,
y: realWorkers,
mode: 'lines+markers',
name: 'Real Workers',
line: {
color: 'red'
}
};
let layout = {
title: "Worker Usage Over Time",
xaxis: {
title: get_axis_title_data("Time", "date")
},
yaxis: {
title: get_axis_title_data("Number of Workers")
},
legend: {
x: 0,
y: 1
}
};
Plotly.newPlot('workerUsagePlot', [trace1, trace2], add_default_layout_data(layout));
$("#workerUsagePlot").data("loaded", "true");
}
function plotCPUAndRAMUsage() {
if($("#mainWorkerCPURAM").data("loaded") == "true") {
return;
}
var timestamps = tab_main_worker_cpu_ram_csv_json.map(row => new Date(row[0] * 1000));
var ramUsage = tab_main_worker_cpu_ram_csv_json.map(row => row[1]);
var cpuUsage = tab_main_worker_cpu_ram_csv_json.map(row => row[2]);
var trace1 = {
x: timestamps,
y: cpuUsage,
mode: 'lines+markers',
marker: {
size: get_marker_size(),
},
name: 'CPU Usage (%)',
type: 'scatter',
yaxis: 'y1'
};
var trace2 = {
x: timestamps,
y: ramUsage,
mode: 'lines+markers',
marker: {
size: get_marker_size(),
},
name: 'RAM Usage (MB)',
type: 'scatter',
yaxis: 'y2'
};
var layout = {
title: 'CPU and RAM Usage Over Time',
xaxis: {
title: get_axis_title_data("Timestamp", "date"),
tickmode: 'array',
tickvals: timestamps.filter((_, index) => index % Math.max(Math.floor(timestamps.length / 10), 1) === 0),
ticktext: timestamps.filter((_, index) => index % Math.max(Math.floor(timestamps.length / 10), 1) === 0).map(t => t.toLocaleString()),
tickangle: -45
},
yaxis: {
title: get_axis_title_data("CPU Usage (%)"),
rangemode: 'tozero'
},
yaxis2: {
title: get_axis_title_data("RAM Usage (MB)"),
overlaying: 'y',
side: 'right',
rangemode: 'tozero'
},
legend: {
x: 0.1,
y: 0.9
}
};
var data = [trace1, trace2];
Plotly.newPlot('mainWorkerCPURAM', data, add_default_layout_data(layout));
$("#mainWorkerCPURAM").data("loaded", "true");
}
function plotScatter2d() {
if ($("#plotScatter2d").data("loaded") == "true") {
return;
}
var plotDiv = document.getElementById("plotScatter2d");
var minInput = document.getElementById("minValue");
var maxInput = document.getElementById("maxValue");
if (!minInput || !maxInput) {
minInput = document.createElement("input");
minInput.id = "minValue";
minInput.type = "number";
minInput.placeholder = "Min Value";
minInput.step = "any";
maxInput = document.createElement("input");
maxInput.id = "maxValue";
maxInput.type = "number";
maxInput.placeholder = "Max Value";
maxInput.step = "any";
var inputContainer = document.createElement("div");
inputContainer.style.marginBottom = "10px";
inputContainer.appendChild(minInput);
inputContainer.appendChild(maxInput);
plotDiv.appendChild(inputContainer);
}
var resultSelect = document.getElementById("resultSelect");
if (result_names.length > 1 && !resultSelect) {
resultSelect = document.createElement("select");
resultSelect.id = "resultSelect";
resultSelect.style.marginBottom = "10px";
var sortedResults = [...result_names].sort();
sortedResults.forEach(result => {
var option = document.createElement("option");
option.value = result;
option.textContent = result;
resultSelect.appendChild(option);
});
var selectContainer = document.createElement("div");
selectContainer.style.marginBottom = "10px";
selectContainer.appendChild(resultSelect);
plotDiv.appendChild(selectContainer);
}
minInput.addEventListener("input", updatePlots);
maxInput.addEventListener("input", updatePlots);
if (resultSelect) {
resultSelect.addEventListener("change", updatePlots);
}
updatePlots();
async function updatePlots() {
var minValue = parseFloat(minInput.value);
var maxValue = parseFloat(maxInput.value);
if (isNaN(minValue)) minValue = -Infinity;
if (isNaN(maxValue)) maxValue = Infinity;
while (plotDiv.children.length > 2) {
plotDiv.removeChild(plotDiv.lastChild);
}
var selectedResult = resultSelect ? resultSelect.value : result_names[0];
var resultIndex = tab_results_headers_json.findIndex(header =>
header.toLowerCase() === selectedResult.toLowerCase()
);
var resultValues = tab_results_csv_json.map(row => row[resultIndex]);
var minResult = Math.min(...resultValues.filter(value => value !== null && value !== ""));
var maxResult = Math.max(...resultValues.filter(value => value !== null && value !== ""));
if (minValue !== -Infinity) minResult = Math.max(minResult, minValue);
if (maxValue !== Infinity) maxResult = Math.min(maxResult, maxValue);
var invertColor = result_min_max[result_names.indexOf(selectedResult)] === "max";
var numericColumns = tab_results_headers_json.filter(col =>
!special_col_names.includes(col) && !result_names.includes(col) &&
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));
}
}
}
}
$("#plotScatter3d").data("loaded", "true");
}
async function plot_worker_cpu_ram() {
if($("#worker_cpu_ram_pre").data("loaded") == "true") {
return;
}
const logData = $("#worker_cpu_ram_pre").text();
const regex = /^Unix-Timestamp: (\d+), Hostname: ([\w-]+), CPU: ([\d.]+)%, RAM: ([\d.]+) MB \/ ([\d.]+) MB$/;
const hostData = {};
logData.split("\n").forEach(line => {
line = line.trim();
const match = line.match(regex);
if (match) {
const timestamp = new Date(parseInt(match[1]) * 1000);
const hostname = match[2];
const cpu = parseFloat(match[3]);
const ram = parseFloat(match[4]);
if (!hostData[hostname]) {
hostData[hostname] = { timestamps: [], cpuUsage: [], ramUsage: [] };
}
hostData[hostname].timestamps.push(timestamp);
hostData[hostname].cpuUsage.push(cpu);
hostData[hostname].ramUsage.push(ram);
}
});
if (!Object.keys(hostData).length) {
console.log("No valid data found");
return;
}
const container = document.getElementById("cpuRamWorkerChartContainer");
container.innerHTML = "";
var i = 1;
Object.entries(hostData).forEach(([hostname, { timestamps, cpuUsage, ramUsage }], index) => {
const chartId = `workerChart_${index}`;
const chartDiv = document.createElement("div");
chartDiv.id = chartId;
chartDiv.style.marginBottom = "40px";
container.appendChild(chartDiv);
const cpuTrace = {
x: timestamps,
y: cpuUsage,
mode: "lines+markers",
name: "CPU Usage (%)",
yaxis: "y1",
line: {
color: "red"
}
};
const ramTrace = {
x: timestamps,
y: ramUsage,
mode: "lines+markers",
name: "RAM Usage (MB)",
yaxis: "y2",
line: {
color: "blue"
}
};
const layout = {
title: `Worker CPU and RAM Usage - ${hostname}`,
xaxis: {
title: get_axis_title_data("Timestamp", "date")
},
yaxis: {
title: get_axis_title_data("CPU Usage (%)"),
side: "left",
color: "red"
},
yaxis2: {
title: get_axis_title_data("RAM Usage (MB)"),
side: "right",
overlaying: "y",
color: "blue"
},
showlegend: true
};
Plotly.newPlot(chartId, [cpuTrace, ramTrace], add_default_layout_data(layout));
i++;
});
$("#plot_worker_cpu_ram_button").remove();
$("#worker_cpu_ram_pre").data("loaded", "true");
}
function load_log_file(log_nr, filename) {
var pre_id = `single_run_${log_nr}_pre`;
if (!$("#" + pre_id).data("loaded")) {
const params = new URLSearchParams(window.location.search);
const user_id = params.get('user_id');
const experiment_name = params.get('experiment_name');
const run_nr = params.get('run_nr');
var url = `get_log?user_id=${user_id}&experiment_name=${experiment_name}&run_nr=${run_nr}&filename=${filename}`;
fetch(url)
.then(response => response.json())
.then(data => {
if (data.data) {
$("#" + pre_id).html(data.data);
$("#" + pre_id).data("loaded", true);
} else {
log(`No 'data' key found in response.`);
}
$("#spinner_log_" + log_nr).remove();
})
.catch(error => {
log(`Error loading log: ${error}`);
$("#spinner_log_" + log_nr).remove();
});
}
}
function load_debug_log () {
var pre_id = `here_debuglogs_go`;
if (!$("#" + pre_id).data("loaded")) {
const params = new URLSearchParams(window.location.search);
const user_id = params.get('user_id');
const experiment_name = params.get('experiment_name');
const run_nr = params.get('run_nr');
var url = `get_debug_log?user_id=${user_id}&experiment_name=${experiment_name}&run_nr=${run_nr}`;
fetch(url)
.then(response => response.json())
.then(data => {
$("#debug_log_spinner").remove();
if (data.data) {
try {
$("#" + pre_id).html(data.data);
} catch (err) {
$("#" + pre_id).text(`Error loading data: ${err}`);
}
$("#" + pre_id).data("loaded", true);
if (typeof apply_theme_based_on_system_preferences === 'function') {
apply_theme_based_on_system_preferences();
}
} else {
log(`No 'data' key found in response.`);
}
})
.catch(error => {
log(`Error loading log: ${error}`);
$("#debug_log_spinner").remove();
});
}
}
function plotBoxplot() {
if ($("#plotBoxplot").data("loaded") == "true") {
return;
}
var numericColumns = tab_results_headers_json.filter(col =>
!special_col_names.includes(col) && !result_names.includes(col) &&
tab_results_csv_json.every(row => !isNaN(parseFloat(row[tab_results_headers_json.indexOf(col)])))
);
if (numericColumns.length < 1) {
console.error("Not enough numeric columns for Boxplot");
return;
}
var resultIndex = tab_results_headers_json.findIndex(function(header) {
return result_names.includes(header.toLowerCase());
});
var resultValues = tab_results_csv_json.map(row => row[resultIndex]);
var minResult = Math.min(...resultValues.filter(value => value !== null && value !== ""));
var maxResult = Math.max(...resultValues.filter(value => value !== null && value !== ""));
var plotDiv = document.getElementById("plotBoxplot");
plotDiv.innerHTML = "";
let traces = numericColumns.map(col => {
let index = tab_results_headers_json.indexOf(col);
let data = tab_results_csv_json.map(row => parseFloat(row[index]));
return {
y: data,
type: 'box',
name: col,
boxmean: 'sd',
marker: {
color: 'rgb(0, 255, 0)'
},
};
});
let layout = {
title: 'Boxplot of Numerical Columns',
xaxis: {
title: get_axis_title_data("Columns")
},
yaxis: {
title: get_axis_title_data("Value")
},
showlegend: false
};
Plotly.newPlot(plotDiv, traces, add_default_layout_data(layout));
$("#plotBoxplot").data("loaded", "true");
}
function plotHeatmap() {
if ($("#plotHeatmap").data("loaded") === "true") {
return;
}
var numericColumns = tab_results_headers_json.filter(col => {
if (special_col_names.includes(col) || result_names.includes(col)) {
return false;
}
let index = tab_results_headers_json.indexOf(col);
return tab_results_csv_json.every(row => {
let value = parseFloat(row[index]);
return !isNaN(value) && isFinite(value);
});
});
if (numericColumns.length < 2) {
console.error("Not enough valid numeric columns for Heatmap");
return;
}
var columnData = numericColumns.map(col => {
let index = tab_results_headers_json.indexOf(col);
return tab_results_csv_json.map(row => parseFloat(row[index]));
});
var dataMatrix = numericColumns.map((_, i) =>
numericColumns.map((_, j) => {
let values = columnData[i].map((val, index) => (val + columnData[j][index]) / 2);
return values.reduce((a, b) => a + b, 0) / values.length;
})
);
var trace = {
z: dataMatrix,
x: numericColumns,
y: numericColumns,
colorscale: 'Viridis',
type: 'heatmap'
};
var layout = {
xaxis: {
title: get_axis_title_data("Columns")
},
yaxis: {
title: get_axis_title_data("Columns")
},
showlegend: false
};
var plotDiv = document.getElementById("plotHeatmap");
plotDiv.innerHTML = "";
Plotly.newPlot(plotDiv, [trace], add_default_layout_data(layout));
$("#plotHeatmap").data("loaded", "true");
}
function plotHistogram() {
if ($("#plotHistogram").data("loaded") == "true") {
return;
}
var numericColumns = tab_results_headers_json.filter(col =>
!special_col_names.includes(col) && !result_names.includes(col) &&
tab_results_csv_json.every(row => !isNaN(parseFloat(row[tab_results_headers_json.indexOf(col)])))
);
if (numericColumns.length < 1) {
console.error("Not enough columns for Histogram");
return;
}
var plotDiv = document.getElementById("plotHistogram");
plotDiv.innerHTML = "";
const colorPalette = ['#ff9999', '#66b3ff', '#99ff99', '#ffcc99', '#c2c2f0', '#ffb3e6'];
let traces = numericColumns.map((col, index) => {
let data = tab_results_csv_json.map(row => parseFloat(row[tab_results_headers_json.indexOf(col)]));
return {
x: data,
type: 'histogram',
name: col,
opacity: 0.7,
marker: {
color: colorPalette[index % colorPalette.length]
},
autobinx: true
};
});
let layout = {
title: 'Histogram of Numerical Columns',
xaxis: {
title: get_axis_title_data("Value")
},
yaxis: {
title: get_axis_title_data("Frequency")
},
showlegend: true,
barmode: 'overlay'
};
Plotly.newPlot(plotDiv, traces, add_default_layout_data(layout));
$("#plotHistogram").data("loaded", "true");
}
function plotViolin() {
if ($("#plotViolin").data("loaded") == "true") {
return;
}
var numericColumns = tab_results_headers_json.filter(col =>
!special_col_names.includes(col) && !result_names.includes(col) &&
tab_results_csv_json.every(row => !isNaN(parseFloat(row[tab_results_headers_json.indexOf(col)])))
);
if (numericColumns.length < 1) {
console.error("Not enough columns for Violin Plot");
return;
}
var plotDiv = document.getElementById("plotViolin");
plotDiv.innerHTML = "";
let traces = numericColumns.map(col => {
let index = tab_results_headers_json.indexOf(col);
let data = tab_results_csv_json.map(row => parseFloat(row[index]));
return {
y: data,
type: 'violin',
name: col,
box: {
visible: true
},
line: {
color: 'rgb(0, 255, 0)'
},
marker: {
color: 'rgb(0, 255, 0)'
},
meanline: {
visible: true
},
};
});
let layout = {
title: 'Violin Plot of Numerical Columns',
yaxis: {
title: get_axis_title_data("Value")
},
xaxis: {
title: get_axis_title_data("Columns")
},
showlegend: false
};
Plotly.newPlot(plotDiv, traces, add_default_layout_data(layout));
$("#plotViolin").data("loaded", "true");
}
function plotExitCodesPieChart() {
if ($("#plotExitCodesPieChart").data("loaded") == "true") {
return;
}
var exitCodes = tab_job_infos_csv_json.map(row => row[tab_job_infos_headers_json.indexOf("exit_code")]);
var exitCodeCounts = exitCodes.reduce(function(counts, exitCode) {
counts[exitCode] = (counts[exitCode] || 0) + 1;
return counts;
}, {});
var labels = Object.keys(exitCodeCounts);
var values = Object.values(exitCodeCounts);
var plotDiv = document.getElementById("plotExitCodesPieChart");
plotDiv.innerHTML = "";
var trace = {
labels: labels,
values: values,
type: 'pie',
hoverinfo: 'label+percent',
textinfo: 'label+value',
marker: {
colors: ['#ff9999','#66b3ff','#99ff99','#ffcc99','#c2c2f0']
}
};
var layout = {
title: 'Exit Code Distribution',
showlegend: true
};
Plotly.newPlot(plotDiv, [trace], add_default_layout_data(layout));
$("#plotExitCodesPieChart").data("loaded", "true");
}
function plotResultEvolution() {
if ($("#plotResultEvolution").data("loaded") == "true") {
return;
}
result_names.forEach(resultName => {
var relevantColumns = tab_results_headers_json.filter(col =>
!special_col_names.includes(col) && !col.startsWith("OO_Info") && col.toLowerCase() !== resultName.toLowerCase()
);
var xColumnIndex = tab_results_headers_json.indexOf("trial_index");
var resultIndex = tab_results_headers_json.indexOf(resultName);
let data = tab_results_csv_json.map(row => ({
x: row[xColumnIndex],
y: parseFloat(row[resultIndex])
}));
data.sort((a, b) => a.x - b.x);
let xData = data.map(item => item.x);
let yData = data.map(item => item.y);
let trace = {
x: xData,
y: yData,
mode: 'lines+markers',
name: resultName,
line: {
shape: 'linear'
},
marker: {
size: get_marker_size()
}
};
let layout = {
title: `Evolution of ${resultName} over time`,
xaxis: {
title: get_axis_title_data("Trial-Index")
},
yaxis: {
title: get_axis_title_data(resultName)
},
showlegend: true
};
let subDiv = document.createElement("div");
document.getElementById("plotResultEvolution").appendChild(subDiv);
Plotly.newPlot(subDiv, [trace], add_default_layout_data(layout));
});
$("#plotResultEvolution").data("loaded", "true");
}
function plotResultPairs() {
if ($("#plotResultPairs").data("loaded") == "true") {
return;
}
var plotDiv = document.getElementById("plotResultPairs");
plotDiv.innerHTML = "";
for (let i = 0; i < result_names.length; i++) {
for (let j = i + 1; j < result_names.length; j++) {
let xName = result_names[i];
let yName = result_names[j];
let xIndex = tab_results_headers_json.indexOf(xName);
let yIndex = tab_results_headers_json.indexOf(yName);
let data = tab_results_csv_json
.filter(row => row[xIndex] !== "" && row[yIndex] !== "")
.map(row => ({
x: parseFloat(row[xIndex]),
y: parseFloat(row[yIndex]),
status: row[tab_results_headers_json.indexOf("trial_status")]
}));
let colors = data.map(d => d.status === "COMPLETED" ? 'green' : (d.status === "FAILED" ? 'red' : 'gray'));
let trace = {
x: data.map(d => d.x),
y: data.map(d => d.y),
mode: 'markers',
marker: {
size: get_marker_size(),
color: colors
},
text: data.map(d => `Status: ${d.status}`),
type: 'scatter',
showlegend: false
};
let layout = {
xaxis: {
title: get_axis_title_data(xName)
},
yaxis: {
title: get_axis_title_data(yName)
},
showlegend: false
};
let subDiv = document.createElement("div");
plotDiv.appendChild(subDiv);
Plotly.newPlot(subDiv, [trace], add_default_layout_data(layout));
}
}
$("#plotResultPairs").data("loaded", "true");
}
function add_up_down_arrows_for_scrolling () {
const upArrow = document.createElement('div');
const downArrow = document.createElement('div');
const style = document.createElement('style');
style.innerHTML = `
.scroll-arrow {
position: fixed;
right: 10px;
z-index: 100;
cursor: pointer;
font-size: 25px;
display: none;
background-color: green;
color: white;
padding: 5px;
outline: 2px solid white;
box-shadow: 0 0 10px rgba(0, 0, 0, 0.5);
transition: background-color 0.3s, transform 0.3s;
}
.scroll-arrow:hover {
background-color: darkgreen;
transform: scale(1.1);
}
#up-arrow {
top: 10px;
}
#down-arrow {
bottom: 10px;
}
`;
document.head.appendChild(style);
upArrow.id = "up-arrow";
upArrow.classList.add("scroll-arrow");
upArrow.classList.add("invert_in_dark_mode");
upArrow.innerHTML = "↑";
downArrow.id = "down-arrow";
downArrow.classList.add("scroll-arrow");
downArrow.classList.add("invert_in_dark_mode");
downArrow.innerHTML = "↓";
document.body.appendChild(upArrow);
document.body.appendChild(downArrow);
function checkScrollPosition() {
const scrollPosition = window.scrollY;
const pageHeight = document.documentElement.scrollHeight;
const windowHeight = window.innerHeight;
if (scrollPosition > 0) {
upArrow.style.display = "block";
} else {
upArrow.style.display = "none";
}
if (scrollPosition + windowHeight < pageHeight) {
downArrow.style.display = "block";
} else {
downArrow.style.display = "none";
}
}
window.addEventListener("scroll", checkScrollPosition);
upArrow.addEventListener("click", function () {
window.scrollTo({ top: 0, behavior: 'smooth' });
});
downArrow.addEventListener("click", function () {
window.scrollTo({ top: document.documentElement.scrollHeight, behavior: 'smooth' });
});
checkScrollPosition();
if (typeof apply_theme_based_on_system_preferences === 'function') {
apply_theme_based_on_system_preferences();
}
}
function plotGPUUsage() {
if ($("#tab_gpu_usage").data("loaded") === "true") {
return;
}
Object.keys(gpu_usage).forEach(node => {
const nodeData = gpu_usage[node];
var timestamps = [];
var gpuUtilizations = [];
var temperatures = [];
nodeData.forEach(entry => {
try {
var timestamp = new Date(entry[0]* 1000);
var utilization = parseFloat(entry[1]);
var temperature = parseFloat(entry[2]);
if (!isNaN(timestamp) && !isNaN(utilization) && !isNaN(temperature)) {
timestamps.push(timestamp);
gpuUtilizations.push(utilization);
temperatures.push(temperature);
} else {
console.warn("Invalid data point:", entry);
}
} catch (error) {
console.error("Error processing GPU data entry:", error, entry);
}
});
var trace1 = {
x: timestamps,
y: gpuUtilizations,
mode: 'lines+markers',
marker: {
size: get_marker_size(),
},
name: 'GPU Utilization (%)',
type: 'scatter',
yaxis: 'y1'
};
var trace2 = {
x: timestamps,
y: temperatures,
mode: 'lines+markers',
marker: {
size: get_marker_size(),
},
name: 'GPU Temperature (°C)',
type: 'scatter',
yaxis: 'y2'
};
var layout = {
title: 'GPU Usage Over Time - ' + node,
xaxis: {
title: get_axis_title_data("Timestamp", "date"),
tickmode: 'array',
tickvals: timestamps.filter((_, index) => index % Math.max(Math.floor(timestamps.length / 10), 1) === 0),
ticktext: timestamps.filter((_, index) => index % Math.max(Math.floor(timestamps.length / 10), 1) === 0).map(t => t.toLocaleString()),
tickangle: -45
},
yaxis: {
title: get_axis_title_data("GPU Utilization (%)"),
overlaying: 'y',
rangemode: 'tozero'
},
yaxis2: {
title: get_axis_title_data("GPU Temperature (°C)"),
overlaying: 'y',
side: 'right',
position: 0.85,
rangemode: 'tozero'
},
legend: {
x: 0.1,
y: 0.9
}
};
var divId = 'gpu_usage_plot_' + node;
if (!document.getElementById(divId)) {
var div = document.createElement('div');
div.id = divId;
div.className = 'gpu-usage-plot';
document.getElementById('tab_gpu_usage').appendChild(div);
}
var plotData = [trace1, trace2];
Plotly.newPlot(divId, plotData, add_default_layout_data(layout));
});
$("#tab_gpu_usage").data("loaded", "true");
}
function plotResultsDistributionByGenerationMethod() {
if ("true" === $("#plotResultsDistributionByGenerationMethod").data("loaded")) {
return;
}
var res_col = result_names[0];
var gen_method_col = "generation_node";
var data = {};
tab_results_csv_json.forEach(row => {
var gen_method = row[tab_results_headers_json.indexOf(gen_method_col)];
var result = row[tab_results_headers_json.indexOf(res_col)];
if (!data[gen_method]) {
data[gen_method] = [];
}
data[gen_method].push(result);
});
var traces = Object.keys(data).map(method => {
return {
y: data[method],
type: 'box',
name: method,
boxpoints: 'outliers',
jitter: 0.5,
pointpos: 0
};
});
var layout = {
title: 'Distribution of Results by Generation Method',
yaxis: {
title: get_axis_title_data(res_col)
},
xaxis: {
title: get_axis_title_data("Generation Method")
},
boxmode: 'group'
};
Plotly.newPlot("plotResultsDistributionByGenerationMethod", traces, add_default_layout_data(layout));
$("#plotResultsDistributionByGenerationMethod").data("loaded", "true");
}
function plotJobStatusDistribution() {
if ($("#plotJobStatusDistribution").data("loaded") === "true") {
return;
}
var status_col = "trial_status";
var status_counts = {};
tab_results_csv_json.forEach(row => {
var status = row[tab_results_headers_json.indexOf(status_col)];
if (status) {
status_counts[status] = (status_counts[status] || 0) + 1;
}
});
var statuses = Object.keys(status_counts);
var counts = Object.values(status_counts);
var colors = statuses.map((status, i) =>
status === "FAILED" ? "#FF0000" : `hsl(${30 + ((i * 137) % 330)}, 70%, 50%)`
);
var trace = {
x: statuses,
y: counts,
type: 'bar',
marker: { color: colors }
};
var layout = {
title: 'Distribution of Job Status',
xaxis: { title: 'Trial Status' },
yaxis: { title: 'Nr. of jobs' }
};
Plotly.newPlot("plotJobStatusDistribution", [trace], add_default_layout_data(layout));
$("#plotJobStatusDistribution").data("loaded", "true");
}
function _colorize_table_entries_by_generation_method () {
document.querySelectorAll('[data-column-id="generation_node"]').forEach(el => {
let text = el.textContent.toLowerCase();
let color = text.includes("manual") ? "green" :
text.includes("sobol") ? "orange" :
text.includes("saasbo") ? "pink" :
text.includes("uniform") ? "lightblue" :
text.includes("legacy_gpei") ? "sienna" :
text.includes("bo_mixed") ? "aqua" :
text.includes("randomforest") ? "darkseagreen" :
text.includes("external_generator") ? "purple" :
text.includes("botorch") ? "yellow" : "";
if (color !== "") {
el.style.backgroundColor = color;
}
el.classList.add("invert_in_dark_mode");
});
}
function _colorize_table_entries_by_trial_status () {
document.querySelectorAll('[data-column-id="trial_status"]').forEach(el => {
let color = el.textContent.includes("COMPLETED") ? "lightgreen" :
el.textContent.includes("RUNNING") ? "orange" :
el.textContent.includes("FAILED") ? "red" :
el.textContent.includes("ABANDONED") ? "yellow" : "";
if (color) el.style.backgroundColor = color;
el.classList.add("invert_in_dark_mode");
});
}
function _colorize_table_entries_by_run_time() {
let cells = [...document.querySelectorAll('[data-column-id="run_time"]')];
if (cells.length === 0) return;
let values = cells.map(el => parseFloat(el.textContent)).filter(v => !isNaN(v));
if (values.length === 0) return;
let min = Math.min(...values);
let max = Math.max(...values);
let range = max - min || 1;
cells.forEach(el => {
let value = parseFloat(el.textContent);
if (isNaN(value)) return;
let ratio = (value - min) / range;
let red = Math.round(255 * ratio);
let green = Math.round(255 * (1 - ratio));
el.style.backgroundColor = `rgb(${red}, ${green}, 0)`;
el.classList.add("invert_in_dark_mode");
});
}
function _colorize_table_entries_by_results() {
result_names.forEach((name, index) => {
let minMax = result_min_max[index];
let selector_query = `[data-column-id="${name}"]`;
let cells = [...document.querySelectorAll(selector_query)];
if (cells.length === 0) return;
let values = cells.map(el => parseFloat(el.textContent)).filter(v => v > 0 && !isNaN(v));
if (values.length === 0) return;
let logValues = values.map(v => Math.log(v));
let logMin = Math.min(...logValues);
let logMax = Math.max(...logValues);
let logRange = logMax - logMin || 1;
cells.forEach(el => {
let value = parseFloat(el.textContent);
if (isNaN(value) || value <= 0) return;
let logValue = Math.log(value);
let ratio = (logValue - logMin) / logRange;
if (minMax === "max") ratio = 1 - ratio;
let red = Math.round(255 * ratio);
let green = Math.round(255 * (1 - ratio));
el.style.backgroundColor = `rgb(${red}, ${green}, 0)`;
el.classList.add("invert_in_dark_mode");
});
});
}
function _colorize_table_entries_by_generation_node_or_hostname() {
["hostname", "generation_node"].forEach(element => {
let selector_query = '[data-column-id="' + element + '"]:not(.gridjs-th)';
let cells = [...document.querySelectorAll(selector_query)];
if (cells.length === 0) return;
let uniqueValues = [...new Set(cells.map(el => el.textContent.trim()))];
let colorMap = {};
uniqueValues.forEach((value, index) => {
let hue = Math.round((360 / uniqueValues.length) * index);
colorMap[value] = `hsl(${hue}, 70%, 60%)`;
});
cells.forEach(el => {
let value = el.textContent.trim();
if (colorMap[value]) {
el.style.backgroundColor = colorMap[value];
el.classList.add("invert_in_dark_mode");
}
});
});
}
function colorize_table_entries () {
setTimeout(() => {
if (typeof result_names !== "undefined" && Array.isArray(result_names) && result_names.length > 0) {
_colorize_table_entries_by_trial_status();
_colorize_table_entries_by_results();
_colorize_table_entries_by_run_time();
_colorize_table_entries_by_generation_method();
_colorize_table_entries_by_generation_node_or_hostname();
if (typeof apply_theme_based_on_system_preferences === 'function') {
apply_theme_based_on_system_preferences();
}
}
}, 300);
}
function add_colorize_to_gridjs_table () {
let searchInput = document.querySelector(".gridjs-search-input");
if (searchInput) {
searchInput.addEventListener("input", colorize_table_entries);
}
}
function updatePreWidths() {
var width = window.innerWidth * 0.95;
var pres = document.getElementsByTagName('pre');
for (var i = 0; i < pres.length; i++) {
pres[i].style.width = width + 'px';
}
}
function demo_mode(nr_sec = 3) {
let i = 0;
let tabs = $('menu[role="tablist"] > button');
setInterval(() => {
tabs.attr('aria-selected', 'false').removeClass('active');
let tab = tabs.eq(i % tabs.length);
tab.attr('aria-selected', 'true').addClass('active');
tab.trigger('click');
i++;
}, nr_sec * 1000);
}
function resizePlotlyCharts() {
const plotlyElements = document.querySelectorAll('.js-plotly-plot');
if (plotlyElements.length) {
const windowWidth = window.innerWidth;
const windowHeight = window.innerHeight;
const newWidth = windowWidth * 0.9;
const newHeight = windowHeight * 0.9;
plotlyElements.forEach(function(element, index) {
const layout = {
width: newWidth,
height: newHeight,
plot_bgcolor: 'rgba(0, 0, 0, 0)',
paper_bgcolor: 'rgba(0, 0, 0, 0)',
};
Plotly.relayout(element, layout)
});
}
make_text_in_parallel_plot_nicer();
apply_theme_based_on_system_preferences();
}
window.addEventListener('load', updatePreWidths);
window.addEventListener('resize', updatePreWidths);
$(document).ready(function() {
colorize_table_entries();
add_up_down_arrows_for_scrolling();
add_colorize_to_gridjs_table();
});
window.addEventListener('resize', function() {
resizePlotlyCharts();
});
"use strict";
function get_row_by_index(idx) {
if (!Object.keys(window).includes("tab_results_csv_json")) {
error("tab_results_csv_json is not defined");
return;
}
if (!Object.keys(window).includes("tab_results_headers_json")) {
error("tab_results_headers_json is not defined");
return;
}
var trial_index_col_idx = tab_results_headers_json.indexOf("trial_index");
if(trial_index_col_idx == -1) {
error(`"trial_index" could not be found in tab_results_headers_json. Cannot continue`);
return null;
}
for (var i = 0; i < tab_results_csv_json.length; i++) {
var row = tab_results_csv_json[i];
var trial_index = row[trial_index_col_idx];
if (trial_index == idx) {
return row;
}
}
return null;
}
function load_pareto_graph_from_idxs () {
if (!Object.keys(window).includes("pareto_idxs")) {
error("pareto_idxs is not defined");
return;
}
if (!Object.keys(window).includes("tab_results_csv_json")) {
error("tab_results_csv_json is not defined");
return;
}
if (!Object.keys(window).includes("tab_results_headers_json")) {
error("tab_results_headers_json is not defined");
return;
}
if(pareto_idxs === null) {
var err_msg = "pareto_idxs is null. Cannot plot or create tables from empty data. This can be caused by a defective <tt>pareto_idxs.json</tt> file. Please try reloading, or re-calculating the pareto-front and re-submitting if this problem persists.";
$("#pareto_from_idxs_table").html(`<div class="caveat alarm">${err_msg}</div>`);
return;
}
var table = get_pareto_table_data_from_idx();
var html_tables = createParetoTablesFromData(table);
$("#pareto_from_idxs_table").html(html_tables);
renderParetoFrontPlots(table);
apply_theme_based_on_system_preferences();
}
function renderParetoFrontPlots(data) {
try {
let container = document.getElementById("pareto_front_idxs_plot_container");
if (!container) {
console.error("DIV with id 'pareto_front_idxs_plot_container' not found.");
return;
}
container.innerHTML = "";
if(data === undefined || data === null) {
var err_msg = "There was an error getting the data for Pareto-Fronts. See the developer's console to see further details.";
$("#pareto_from_idxs_table").html(`<div class="caveat alarm">${err_msg}</div>`);
return;
}
Object.keys(data).forEach((key, idx) => {
if (!key.startsWith("Pareto front for ")) return;
let label = key.replace("Pareto front for ", "");
let [xKey, yKey] = label.split("/");
if (!xKey || !yKey) {
console.warn("Could not extract two objectives from key:", key);
return;
}
let entries = data[key];
let x = [];
let y = [];
let hoverTexts = [];
entries.forEach((entry) => {
let results = entry.results || {};
let values = entry.values || {};
let xVal = (results[xKey] || [])[0];
let yVal = (results[yKey] || [])[0];
if (xVal === undefined || yVal === undefined) {
console.warn("Missing values for", xKey, yKey, "in", entry);
return;
}
x.push(xVal);
y.push(yVal);
let hoverInfo = [];
if ("trial_index" in values) {
hoverInfo.push(`<b>Trial Index:</b> ${values.trial_index[0]}`);
}
Object.keys(values)
.filter(k => k !== "trial_index")
.sort()
.forEach(k => {
hoverInfo.push(`<b>${k}:</b> ${values[k][0]}`);
});
Object.keys(results)
.sort()
.forEach(k => {
hoverInfo.push(`<b>${k}:</b> ${results[k][0]}`);
});
hoverTexts.push(hoverInfo.join("<br>"));
});
let wrapper = document.createElement("div");
wrapper.style.marginBottom = "30px";
let titleEl = document.createElement("h3");
titleEl.textContent = `Pareto Front: ${xKey} (${getMinMaxByResultName(xKey)}) vs ${yKey} (${getMinMaxByResultName(yKey)})`;
wrapper.appendChild(titleEl);
let divId = `pareto_plot_${idx}`;
let plotDiv = document.createElement("div");
plotDiv.id = divId;
plotDiv.style.width = "100%";
plotDiv.style.height = "400px";
wrapper.appendChild(plotDiv);
container.appendChild(wrapper);
let trace = {
x: x,
y: y,
text: hoverTexts,
hoverinfo: "text",
mode: "markers",
type: "scatter",
marker: {
size: 8,
color: 'rgb(31, 119, 180)',
line: {
width: 1,
color: 'black'
}
},
name: label
};
let layout = {
xaxis: { title: { text: xKey } },
yaxis: { title: { text: yKey } },
margin: { t: 10, l: 60, r: 20, b: 50 },
hovermode: "closest",
showlegend: false
};
Plotly.newPlot(divId, [trace], add_default_layout_data(layout, 1));
});
} catch (e) {
console.error("Error while rendering Pareto front plots:", e);
}
}
function createParetoTablesFromData(data) {
try {
var container = document.createElement("div");
var parsedData;
try {
parsedData = typeof data === "string" ? JSON.parse(data) : data;
} catch (e) {
console.error("JSON parsing failed:", e);
return container;
}
for (var sectionTitle in parsedData) {
if (!parsedData.hasOwnProperty(sectionTitle)) {
continue;
}
var sectionData = parsedData[sectionTitle];
var heading = document.createElement("h2");
heading.textContent = sectionTitle;
container.appendChild(heading);
var table = document.createElement("table");
table.style.borderCollapse = "collapse";
table.style.marginBottom = "2em";
table.style.width = "100%";
var thead = document.createElement("thead");
var headerRow = document.createElement("tr");
var allValueKeys = new Set();
var allResultKeys = new Set();
sectionData.forEach(entry => {
var values = entry.values || {};
var results = entry.results || {};
Object.keys(values).forEach(key => {
allValueKeys.add(key);
});
Object.keys(results).forEach(key => {
allResultKeys.add(key);
});
});
var sortedValueKeys = Array.from(allValueKeys).sort();
var sortedResultKeys = Array.from(allResultKeys).sort();
if (sortedValueKeys.includes("trial_index")) {
sortedValueKeys = sortedValueKeys.filter(k => k !== "trial_index");
sortedValueKeys.unshift("trial_index");
}
var allColumns = [...sortedValueKeys, ...sortedResultKeys];
allColumns.forEach(col => {
var th = document.createElement("th");
th.textContent = col;
th.style.border = "1px solid black";
th.style.padding = "4px";
headerRow.appendChild(th);
});
thead.appendChild(headerRow);
table.appendChild(thead);
var tbody = document.createElement("tbody");
sectionData.forEach(entry => {
var tr = document.createElement("tr");
allColumns.forEach(col => {
var td = document.createElement("td");
td.style.border = "1px solid black";
td.style.padding = "4px";
var value = null;
if (col in entry.values) {
value = entry.values[col];
} else if (col in entry.results) {
value = entry.results[col];
}
if (Array.isArray(value)) {
td.textContent = value.join(", ");
} else {
td.textContent = value !== null && value !== undefined ? value : "";
}
tr.appendChild(td);
});
tbody.appendChild(tr);
});
table.appendChild(tbody);
container.appendChild(table);
}
return container;
} catch (err) {
console.error("Unexpected error:", err);
var errorDiv = document.createElement("div");
errorDiv.textContent = "Error generating tables.";
return errorDiv;
}
}
function get_pareto_table_data_from_idx () {
if (!Object.keys(window).includes("pareto_idxs")) {
error("pareto_idxs is not defined");
return;
}
if (!Object.keys(window).includes("tab_results_csv_json")) {
error("tab_results_csv_json is not defined");
return;
}
if (!Object.keys(window).includes("tab_results_headers_json")) {
error("tab_results_headers_json is not defined");
return;
}
var x_keys = Object.keys(pareto_idxs);
var tables = {};
for (var i = 0; i < x_keys.length; i++) {
var x_key = x_keys[i];
var y_keys = Object.keys(pareto_idxs[x_key]);
for (var j = 0; j < y_keys.length; j++) {
var y_key = y_keys[j];
var indices = pareto_idxs[x_key][y_key];
for (var k = 0; k < indices.length; k++) {
var idx = indices[k];
var row = get_row_by_index(idx);
if(row === null) {
error(`Error getting the row for index ${idx}`);
return;
}
var row_dict = {
"results": {},
"values": {},
};
for (var l = 0; l < tab_results_headers_json.length; l++) {
var header = tab_results_headers_json[l];
if (!special_col_names.includes(header) || header == "trial_index") {
var val = row[l];
if (result_names.includes(header)) {
if (!Object.keys(row_dict["results"]).includes(header)) {
row_dict["results"][header] = [];
}
row_dict["results"][header].push(val);
} else {
if (!Object.keys(row_dict["values"]).includes(header)) {
row_dict["values"][header] = [];
}
row_dict["values"][header].push(val);
}
}
}
var table_key = `Pareto front for ${x_key}/${y_key}`;
if(!Object.keys(tables).includes(table_key)) {
tables[table_key] = [];
}
tables[table_key].push(row_dict);
}
}
}
return tables;
}
function getMinMaxByResultName(resultName) {
try {
if (typeof resultName !== "string") {
error("Parameter resultName must be a string");
return;
}
if (!Array.isArray(result_names)) {
error("Global variable result_names is not an array or undefined");
return;
}
if (!Array.isArray(result_min_max)) {
error("Global variable result_min_max is not an array or undefined");
return;
}
if (result_names.length !== result_min_max.length) {
error("Global arrays result_names and result_min_max must have the same length");
return;
}
var index = result_names.indexOf(resultName);
if (index === -1) {
error("Result name '" + resultName + "' not found in result_names");
return;
}
var minMaxValue = result_min_max[index];
if (minMaxValue !== "min" && minMaxValue !== "max") {
error("Value for result name '" + resultName + "' is invalid: expected 'min' or 'max'");
return;
}
return minMaxValue;
} catch (e) {
error("Unexpected error: " + e.message);
}
}
$(document).ready(function() {
colorize_table_entries();;
plotCPUAndRAMUsage();;
createParallelPlot(tab_results_csv_json, tab_results_headers_json, result_names, special_col_names);;
plotJobStatusDistribution();;
plotBoxplot();;
plotViolin();;
plotHistogram();;
plotHeatmap();
colorize_table_entries();
});
</script>
<h1> Overview</h1>
<h2>Best parameter (total: 0): </h2><table cellspacing="0" cellpadding="5"><thead><tr><th> n_samples</th><th>n_permutations</th><th>update_interval</th><th>n_consecutive_dev…</th><th>result </th></tr></thead><tbody><tr><td> 314</td><td>11</td><td>50</td><td>4</td><td>0.249480 </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><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>497</td>
<td>3</td>
<td>500</td>
</tr>
</tbody>
</table>
<h1> Results</h1>
<div id='tab_results_csv_table'></div>
<button class='copy_clipboard_button' onclick='copy_to_clipboard_from_id("tab_results_csv_table_pre")'> Copy raw data to clipboard</button>
<button onclick='download_as_file("tab_results_csv_table_pre", "results.csv")'> Download »results.csv« as file</button>
<pre id='tab_results_csv_table_pre'>trial_index,arm_name,trial_status,generation_method,result,n_samples,n_permutations,update_interval,n_consecutive_deviations
0,0_0,COMPLETED,Sobol,0.265782682103232081871624359337,998,19,92,3
1,1_0,COMPLETED,Sobol,0.261207187650747685303542766633,920,31,60,1
2,2_0,COMPLETED,Sobol,0.266424264351181827592540685146,901,17,111,2
3,3_0,COMPLETED,Sobol,0.285676555716353086644687664375,471,11,166,2
4,4_0,COMPLETED,Sobol,0.280047033285094060239828195336,456,27,158,3
5,5_0,COMPLETED,Sobol,0.292668837433671003012136679899,182,36,225,2
6,6_0,COMPLETED,Sobol,0.295984081041968161152055927232,427,22,236,3
7,7_0,COMPLETED,Sobol,0.268381572600096429681570953107,476,39,93,5
8,8_0,COMPLETED,Sobol,0.284101543656536392745692864992,229,13,183,4
9,9_0,COMPLETED,Sobol,0.266823444283646904473528138624,298,24,148,4
10,10_0,COMPLETED,Sobol,0.270007235890014518631119244674,752,35,127,5
11,11_0,COMPLETED,Sobol,0.287061022672455368187627300358,555,18,224,1
12,12_0,COMPLETED,Sobol,0.297696575012059816423004576791,478,30,238,3
13,13_0,COMPLETED,Sobol,0.289335504100337703725642768404,684,29,250,1
14,14_0,COMPLETED,Sobol,0.272499999999999964472863211995,241,13,124,4
15,15_0,COMPLETED,Sobol,0.285660877954655112453963283770,726,37,236,3
16,16_0,COMPLETED,Sobol,0.262942595272551815632766647468,846,48,55,5
17,17_0,COMPLETED,Sobol,0.272390255668113812070885160210,580,50,165,5
18,18_0,COMPLETED,Sobol,0.270660877954655099131286988268,287,29,152,2
19,19_0,COMPLETED,Sobol,0.270463096960926185907680974196,542,31,74,1
20,20_0,COMPLETED,BoTorch,0.263540762180414889215285256796,952,40,66,3
21,21_0,COMPLETED,BoTorch,0.277383019778099426666528870555,138,36,127,4
22,22_0,COMPLETED,BoTorch,0.261406174626145682005073922483,846,29,50,3
23,23_0,COMPLETED,BoTorch,0.265563193439459666045365793252,1000,36,89,1
24,24_0,COMPLETED,BoTorch,0.259251085383502166692437640449,989,18,54,1
25,25_0,COMPLETED,BoTorch,0.258573323685480027656069523800,874,50,50,2
26,26_0,COMPLETED,BoTorch,0.266852387843704796921429078793,1000,50,90,3
27,27_0,COMPLETED,BoTorch,0.261532802701398892075701496651,1000,34,50,5
28,28_0,COMPLETED,BoTorch,0.265808007718282723885749874171,909,50,91,1
29,29_0,COMPLETED,BoTorch,0.257847322720694660524998198525,770,29,50,5
30,30_0,COMPLETED,BoTorch,0.259060540279787754336382477049,798,14,50,1
31,31_0,COMPLETED,BoTorch,0.258305595754944494757410211605,1000,50,50,1
32,32_0,COMPLETED,BoTorch,0.267635069946936754448074680113,1000,50,92,5
33,33_0,COMPLETED,BoTorch,0.258765074770863523490049828979,634,50,50,4
34,34_0,COMPLETED,BoTorch,0.260687409551374815741553447879,825,33,72,3
35,35_0,COMPLETED,BoTorch,0.258616739025566810816769702797,793,36,50,2
36,36_0,COMPLETED,BoTorch,0.263815726000964811959192957147,1000,26,82,1
37,37_0,COMPLETED,BoTorch,0.260993728895320797889212371956,898,25,50,4
38,38_0,COMPLETED,BoTorch,0.259588760250844208243847788253,1000,32,50,3
39,39_0,COMPLETED,BoTorch,0.261596719729860094361129085883,859,42,79,2
40,40_0,COMPLETED,BoTorch,0.263081283164495860482645639422,825,38,76,5
41,41_0,COMPLETED,BoTorch,0.261837916063675790745435278950,833,30,79,2
42,42_0,COMPLETED,BoTorch,0.262275687409551427897724806826,696,50,73,3
43,43_0,COMPLETED,BoTorch,0.260280993728895349015317606245,743,40,50,3
44,44_0,COMPLETED,BoTorch,0.259062952243125921292232760607,875,10,50,3
45,45_0,COMPLETED,BoTorch,0.260325615050651215653942927020,658,22,50,4
46,46_0,COMPLETED,BoTorch,0.262602508441871718147808678623,624,35,50,5
47,47_0,COMPLETED,BoTorch,0.258169319826338616863381503208,748,10,50,4
48,48_0,COMPLETED,BoTorch,0.263657742402315431462511696736,934,10,50,5
49,49_0,COMPLETED,BoTorch,0.257714664737096033064744915464,724,50,50,1
50,50_0,COMPLETED,BoTorch,0.260355764592378191579769008968,686,40,50,5
51,51_0,COMPLETED,BoTorch,0.261555716353111478156279190443,659,10,50,5
52,52_0,COMPLETED,BoTorch,0.261907863000482410420488577074,705,10,69,5
53,53_0,COMPLETED,BoTorch,0.257788229618909792151271176408,691,35,50,4
54,54_0,COMPLETED,BoTorch,0.258240472744814320016359943111,1000,10,50,1
55,55_0,COMPLETED,BoTorch,0.260890014471780062876860029064,663,24,58,5
56,56_0,COMPLETED,BoTorch,0.258308007718282661713260495162,795,50,50,1
57,57_0,COMPLETED,BoTorch,0.259117221418234455754259215610,725,10,50,5
58,58_0,COMPLETED,BoTorch,0.264315002411963373418757328182,681,41,66,5
59,59_0,COMPLETED,BoTorch,0.260635552339604448235377276433,776,10,66,5
60,60_0,COMPLETED,BoTorch,0.259191992281717298318710618332,648,25,50,5
61,61_0,COMPLETED,BoTorch,0.257626628075253272243116953177,574,10,50,5
62,62_0,COMPLETED,BoTorch,0.259539315002412007693521900364,686,29,50,2
63,63_0,COMPLETED,BoTorch,0.261538832609744309465327205544,1000,10,50,5
64,64_0,COMPLETED,BoTorch,0.259406657018813269210966154787,724,50,50,3
65,65_0,COMPLETED,BoTorch,0.258400868306801756446589024563,735,23,50,3
66,66_0,COMPLETED,BoTorch,0.260541485769416270024123605253,803,10,50,5
67,67_0,COMPLETED,BoTorch,0.259388567293777128064391490625,908,10,50,1
68,68_0,COMPLETED,BoTorch,0.258247708634828709861608331266,1000,35,50,1
69,69_0,COMPLETED,BoTorch,0.259407863000482352688891296566,896,50,50,1
70,70_0,COMPLETED,BoTorch,0.260394356005788751851071083365,631,50,50,2
71,71_0,COMPLETED,BoTorch,0.258136758321273473981705137703,747,22,50,4
72,72_0,COMPLETED,BoTorch,0.260258080077182873957042374968,821,10,68,1
73,73_0,COMPLETED,BoTorch,0.257262421611191505199656148761,806,50,50,1
74,74_0,COMPLETED,BoTorch,0.261034732272069414094062267395,623,50,50,1
75,75_0,COMPLETED,BoTorch,0.259228171731789691634162409173,761,10,59,2
76,76_0,COMPLETED,BoTorch,0.259612879884225766780048161309,674,50,50,1
77,77_0,COMPLETED,BoTorch,0.282115291847563898208761656861,1000,50,172,5
78,78_0,COMPLETED,BoTorch,0.280051857211770394151528762450,1000,10,172,1
79,79_0,COMPLETED,BoTorch,0.279769657501205970540070211428,1000,50,169,1
80,80_0,COMPLETED,BoTorch,0.257832850940665658789896497183,428,10,50,5
81,81_0,COMPLETED,BoTorch,0.257045344910757367351550328749,354,50,50,5
82,82_0,COMPLETED,BoTorch,0.264175108538350245090953194449,100,50,50,1
83,83_0,COMPLETED,BoTorch,0.250520984081041953039914460533,317,10,50,5
84,84_0,COMPLETED,BoTorch,0.257739990352146675078870430298,495,10,50,4
85,85_0,COMPLETED,BoTorch,0.266087795465508869519055679120,539,10,50,2
86,86_0,COMPLETED,BoTorch,0.259130487216594262989133312658,293,13,50,5
87,87_0,COMPLETED,BoTorch,0.278209117221418278376177113387,1000,20,155,1
88,88_0,COMPLETED,BoTorch,0.265126628075253223393303869670,100,10,50,5
89,89_0,COMPLETED,BoTorch,0.264116015436565376717226172332,100,10,50,1
90,90_0,COMPLETED,BoTorch,0.253491316931982679783175171906,328,16,50,5
91,91_0,COMPLETED,BoTorch,0.257665219488663721492116565059,427,26,50,5
92,92_0,COMPLETED,BoTorch,0.265852629040038590524375194946,185,16,50,4
93,93_0,COMPLETED,BoTorch,0.275990110950313560778113242122,1000,10,144,1
94,94_0,COMPLETED,BoTorch,0.259585142305836957810072362918,485,10,50,5
95,95_0,COMPLETED,BoTorch,0.261378437047756873035098124092,411,10,50,3
96,96_0,COMPLETED,BoTorch,0.260707911239749123843978395598,250,50,50,5
97,97_0,COMPLETED,BoTorch,0.258427399903521481938639681175,422,50,50,5
98,98_0,COMPLETED,BoTorch,0.259670767004341551675850041647,404,41,50,4
99,99_0,COMPLETED,BoTorch,0.257480704293294726525687110552,344,30,50,4
100,100_0,COMPLETED,BoTorch,0.260768210323203075695630559494,557,46,50,3
101,101_0,COMPLETED,BoTorch,0.253446695610226702122247388616,311,50,50,3
102,102_0,COMPLETED,BoTorch,0.258551616015436525053416971787,293,29,50,2
103,103_0,COMPLETED,BoTorch,0.262226242161119116325096456421,244,10,50,5
104,104_0,COMPLETED,BoTorch,0.256344669561022642234604518308,296,10,50,3
105,105_0,COMPLETED,BoTorch,0.256318137964302916742553861695,340,10,50,5
106,106_0,COMPLETED,BoTorch,0.256759527255185693306316352391,360,10,50,5
107,107_0,COMPLETED,BoTorch,0.258595031355523419236419613298,350,50,50,2
108,108_0,COMPLETED,BoTorch,0.262726724553786761262585969234,631,20,69,1
109,109_0,COMPLETED,BoTorch,0.260650024119633338948176515260,405,49,50,4
110,110_0,COMPLETED,BoTorch,0.257319102749638206617532887321,345,10,50,3
111,111_0,COMPLETED,BoTorch,0.258380366618427448344164076843,330,10,50,1
112,112_0,COMPLETED,BoTorch,0.256312108055957499352928152803,348,10,50,5
113,113_0,COMPLETED,BoTorch,0.252405933429811879520343609329,324,10,50,4
114,114_0,COMPLETED,BoTorch,0.259128075253256096033283029101,330,50,79,1
115,115_0,COMPLETED,BoTorch,0.257426435118186192063660655549,370,22,51,4
116,116_0,COMPLETED,BoTorch,0.257449348769898667121935886826,325,50,93,5
117,117_0,COMPLETED,BoTorch,0.274318620356970521712014488003,264,14,163,3
118,118_0,COMPLETED,BoTorch,0.256437530149541736967933047708,347,10,50,5
119,119_0,COMPLETED,BoTorch,0.259758803666184312497478003934,378,16,54,2
120,120_0,COMPLETED,BoTorch,0.256951278340569189140296657570,295,50,50,1
121,121_0,COMPLETED,BoTorch,0.259126869271587123577660349838,272,50,72,1
122,122_0,COMPLETED,BoTorch,0.256379643029425952072131167370,324,50,50,1
123,123_0,COMPLETED,BoTorch,0.253918234442836454611835961259,313,50,82,2
124,124_0,COMPLETED,BoTorch,0.253496140858658902672573276504,317,32,78,4
125,125_0,COMPLETED,BoTorch,0.252144235407621764011310006026,318,50,69,3
126,126_0,COMPLETED,BoTorch,0.260125422093584135474486629391,280,50,70,2
127,127_0,COMPLETED,BoTorch,0.252519295706705282356097086449,318,50,74,4
128,128_0,COMPLETED,BoTorch,0.249527255185721164032486285578,314,50,50,4
129,129_0,COMPLETED,BoTorch,0.272440906898215096099136189878,267,12,162,3
130,130_0,COMPLETED,BoTorch,0.254458514230583743298552690248,332,23,50,5
131,131_0,COMPLETED,BoTorch,0.256128798842257587864423840074,334,10,65,5
132,132_0,COMPLETED,BoTorch,0.250712735166425448873894765711,319,26,50,4
133,133_0,COMPLETED,BoTorch,0.253986975397973990808964117605,327,50,50,5
134,134_0,COMPLETED,BoTorch,0.250838157260009686488899660617,319,50,50,5
135,135_0,COMPLETED,BoTorch,0.253970091654606822118012132705,330,10,50,5
136,136_0,COMPLETED,BoTorch,0.251328991799324663602988039202,317,26,64,4
137,137_0,COMPLETED,BoTorch,0.255436565364206447092954022082,327,10,68,5
138,138_0,COMPLETED,BoTorch,0.266707670043415334681924377946,298,50,146,5
139,139_0,COMPLETED,BoTorch,0.253146406174626137364214173431,324,29,50,5
140,140_0,COMPLETED,BoTorch,0.253684273999035259095080618863,309,43,62,4
141,141_0,COMPLETED,BoTorch,0.255799565846599130658489684720,324,10,74,4
142,142_0,COMPLETED,BoTorch,0.253241678726483399053392986389,310,39,63,4
143,143_0,COMPLETED,BoTorch,0.255352146647370936705101485131,308,50,68,3
144,144_0,COMPLETED,BoTorch,0.257079112397491593711151836033,332,10,80,5
145,145_0,COMPLETED,BoTorch,0.252059816690786253623457469075,316,36,70,3
146,146_0,COMPLETED,BoTorch,0.256243367100820074178102458973,325,29,73,4
147,147_0,COMPLETED,BoTorch,0.252660395561987494161826361960,310,50,67,4
148,148_0,COMPLETED,BoTorch,0.253437047756874145321148716903,310,50,59,4
149,149_0,COMPLETED,BoTorch,0.253037867824409068440161263425,309,50,50,5
150,150_0,COMPLETED,BoTorch,0.252225036179450023965387117642,317,50,60,4
151,151_0,COMPLETED,BoTorch,0.249517607332368496209085151349,314,39,50,4
152,152_0,COMPLETED,BoTorch,0.252384225759768487939993519831,319,39,60,4
153,153_0,COMPLETED,BoTorch,0.252305836951278394941766691773,310,50,50,4
154,154_0,COMPLETED,BoTorch,0.250891220453449137473000973841,316,50,50,4
155,155_0,COMPLETED,BoTorch,0.264006271104679224315248120547,229,50,50,1
156,156_0,COMPLETED,BoTorch,0.267205740472744812663563607202,180,10,51,5
157,157_0,COMPLETED,BoTorch,0.288440665701881315818866369227,850,10,250,1
158,158_0,COMPLETED,BoTorch,0.292128557645923825347722413426,984,27,247,1
159,159_0,COMPLETED,BoTorch,0.276269898697539817433721509587,471,32,124,5
160,160_0,COMPLETED,BoTorch,0.251242161119150986259285218694,313,44,53,4
161,161_0,COMPLETED,BoTorch,0.249702122527737602197817068372,313,42,52,5
162,162_0,COMPLETED,BoTorch,0.252319102749638202176640788821,311,50,59,5
163,163_0,COMPLETED,BoTorch,0.251121562952243082555980890902,311,50,50,5
164,164_0,COMPLETED,BoTorch,0.250294259527255147368407506292,315,41,50,4
165,165_0,COMPLETED,BoTorch,0.252425229136517104144843415270,319,37,64,4
166,166_0,COMPLETED,BoTorch,0.249943318861553298582123261440,315,39,50,5
167,167_0,COMPLETED,BoTorch,0.249517607332368496209085151349,314,38,50,4
168,168_0,COMPLETED,BoTorch,0.249769657501205943894717620424,313,38,50,5
169,169_0,COMPLETED,BoTorch,0.262756874095513737188412051182,529,50,50,5
170,170_0,COMPLETED,BoTorch,0.266146888567293737892782701238,480,50,82,5
171,171_0,COMPLETED,BoTorch,0.250905692233478028185800212668,316,41,50,4
172,172_0,COMPLETED,BoTorch,0.259486251808972556709420587140,485,46,50,4
173,173_0,COMPLETED,BoTorch,0.250933429811866837155776011059,316,46,50,4
174,174_0,COMPLETED,BoTorch,0.249488663772310714783486673696,314,42,50,4
175,175_0,COMPLETED,BoTorch,0.250262904003859087964656282566,314,35,50,5
176,176_0,COMPLETED,BoTorch,0.249516401350699523753462472087,314,44,50,4
177,177_0,COMPLETED,BoTorch,0.267369753979739499527568113990,463,42,83,4
178,178_0,COMPLETED,BoTorch,0.267138205499276359944360592635,540,39,55,3
179,179_0,COMPLETED,BoTorch,0.251017848528702347543628548010,312,42,50,4
180,180_0,COMPLETED,BoTorch,0.250681379643029389470143541985,319,50,50,4
181,181_0,COMPLETED,BoTorch,0.261702846116738996329331712332,516,42,69,5
182,182_0,COMPLETED,BoTorch,0.265198986975398010024207451352,478,41,72,4
183,183_0,COMPLETED,BoTorch,0.268347805113362314344271908340,100,42,70,3
184,184_0,COMPLETED,BoTorch,0.249769657501205943894717620424,313,41,50,5
185,185_0,COMPLETED,BoTorch,0.259188374336710047884935192997,516,45,50,3
186,186_0,COMPLETED,BoTorch,0.252383019778099404462068378052,310,44,50,5
187,187_0,COMPLETED,BoTorch,0.250313555233960483015209774749,313,40,50,4
188,188_0,COMPLETED,BoTorch,0.261535214664737059031551780208,520,20,50,5
189,189_0,COMPLETED,BoTorch,0.262756874095513737188412051182,454,50,50,1
190,190_0,COMPLETED,BoTorch,0.251069705740472715049804719456,311,44,50,5
191,191_0,COMPLETED,BoTorch,0.257650747708634830779317326233,377,50,50,3
192,192_0,COMPLETED,BoTorch,0.252379401833092154028292952717,310,42,50,5
193,193_0,COMPLETED,BoTorch,0.249492281717317854194959636516,314,40,50,4
194,194_0,COMPLETED,BoTorch,0.250186927158707161922279738064,312,45,50,5
195,195_0,COMPLETED,BoTorch,0.265405209840810396570986995357,371,10,122,5
196,196_0,COMPLETED,BoTorch,0.250008441871683584345475992450,315,27,50,5
197,197_0,COMPLETED,BoTorch,0.292766521948866431657165776414,100,50,250,5
198,198_0,COMPLETED,BoTorch,0.279746743849493495481794980151,100,49,150,4
199,187_0,COMPLETED,BoTorch,0.250288229618909841001084259915,313,40,50,4
200,200_0,COMPLETED,BoTorch,0.293974915581283191556849487824,147,21,250,4
201,201_0,COMPLETED,BoTorch,0.286999517607332332858049994684,100,50,210,5
202,202_0,COMPLETED,BoTorch,0.284300530631934389447224020842,354,10,193,5
203,203_0,RUNNING,BoTorch,,338,10,250,5
204,204_0,COMPLETED,BoTorch,0.288962855764592352336705971538,337,13,239,5
205,205_0,COMPLETED,BoTorch,0.291671490593342963570933079609,376,10,229,5
206,206_0,COMPLETED,BoTorch,0.288183791606367534221533333039,337,14,235,5
207,207_0,COMPLETED,BoTorch,0.292369753979739521732028606493,126,40,250,5
208,208_0,COMPLETED,BoTorch,0.263393632416787260019930272392,392,31,97,5
209,209_0,COMPLETED,BoTorch,0.250236372407139362472605625953,314,49,50,5
210,163_0,COMPLETED,BoTorch,0.251085383502170800262831562577,311,50,50,5
211,211_0,COMPLETED,BoTorch,0.289334298118668620247717626626,342,50,242,1
212,212_0,COMPLETED,BoTorch,0.251031114327062265800805107574,312,31,50,4
213,213_0,COMPLETED,BoTorch,0.290356970574047301703046741750,349,29,227,3
214,214_0,COMPLETED,BoTorch,0.258794018330921415937950769148,351,40,50,1
215,215_0,COMPLETED,BoTorch,0.253025808007718233660909845639,309,37,50,5
216,216_0,COMPLETED,BoTorch,0.265658465991316927734544606210,372,50,120,5
217,217_0,COMPLETED,BoTorch,0.285548721659430793096134948428,318,48,250,3
218,218_0,COMPLETED,BoTorch,0.254333092136999505683547795343,306,30,51,5
219,219_0,COMPLETED,BoTorch,0.256133622768933921776124407188,334,27,64,4
220,220_0,COMPLETED,BoTorch,0.249942112879884215104198119661,315,38,50,5
221,221_0,COMPLETED,BoTorch,0.250273757838880839265982558572,314,39,50,5
222,187_0,COMPLETED,BoTorch,0.250295465508924230846332648071,313,40,50,4
223,223_0,COMPLETED,BoTorch,0.258321273516642579970437054726,296,50,50,5
224,224_0,RUNNING,BoTorch,,584,50,50,1
225,225_0,COMPLETED,BoTorch,0.250305113362276898669733782299,313,39,50,4
226,226_0,COMPLETED,BoTorch,0.251086589483839883740756704356,311,40,50,5
227,227_0,COMPLETED,BoTorch,0.262819585142305855995914498635,599,37,76,3
228,187_0,COMPLETED,BoTorch,0.250311143270622316059359491192,313,40,50,4
229,187_0,COMPLETED,BoTorch,0.250305113362276898669733782299,313,40,50,4
230,230_0,COMPLETED,BoTorch,0.250239990352146612906381051289,314,43,50,5
231,231_0,COMPLETED,BoTorch,0.266050410033767503747981209017,221,10,58,2
232,232_0,COMPLETED,BoTorch,0.251767969126869273210900246340,321,20,51,5
233,233_0,COMPLETED,BoTorch,0.264973468403280287830625638890,542,32,54,5
234,234_0,COMPLETED,BoTorch,0.259570670525807956074970661575,566,40,57,4
235,235_0,COMPLETED,BoTorch,0.261168596237337236054543154751,564,37,58,5
236,236_0,COMPLETED,BoTorch,0.250928605885190503244075443945,316,42,50,4
237,237_0,COMPLETED,BoTorch,0.250295465508924230846332648071,315,42,50,4
238,238_0,COMPLETED,BoTorch,0.257691751085383446984167221672,586,50,50,5
239,239_0,COMPLETED,BoTorch,0.258935118186203516721377582144,569,42,56,3
240,240_0,COMPLETED,BoTorch,0.260928605885190512125859640946,563,50,56,2
241,241_0,COMPLETED,BoTorch,0.262654365653642085653984850069,560,30,59,5
242,242_0,COMPLETED,BoTorch,0.261478533526290357613675041648,564,44,57,2
243,243_0,COMPLETED,BoTorch,0.258340569223347804594936860667,573,50,58,2
244,244_0,COMPLETED,BoTorch,0.257729136517124923777544154291,582,26,59,1
245,245_0,COMPLETED,BoTorch,0.263720453449107550270014144189,594,19,94,4
246,246_0,COMPLETED,BoTorch,0.257526531596719676642237573105,591,20,52,3
247,247_0,COMPLETED,BoTorch,0.260741678726483350203579902882,565,50,57,1
248,233_0,COMPLETED,BoTorch,0.264963820549927620007224504661,542,32,54,5
249,249_0,COMPLETED,BoTorch,0.259190786300048214840785476554,570,50,55,1
250,250_0,COMPLETED,BoTorch,0.261635311143270654632431160280,598,31,72,3
251,251_0,COMPLETED,BoTorch,0.250582489146164988369491766207,316,35,50,5
252,252_0,COMPLETED,BoTorch,0.262308248914616459757098709815,561,44,58,2
253,253_0,COMPLETED,BoTorch,0.257052580800771868219101179420,588,33,51,4
254,254_0,COMPLETED,BoTorch,0.261098649300530616379489856627,568,15,64,5
255,255_0,COMPLETED,BoTorch,0.257469850458273086246663297061,574,18,53,4
256,241_0,COMPLETED,BoTorch,0.262664013506994642455083521781,560,30,59,5
257,257_0,COMPLETED,BoTorch,0.262702604920405202726385596179,562,28,60,5
258,258_0,COMPLETED,BoTorch,0.253791606367583244541208387091,328,13,61,5
259,259_0,COMPLETED,BoTorch,0.275975639170284559043011540780,631,50,160,5
260,260_0,COMPLETED,BoTorch,0.250582489146164988369491766207,316,34,50,5
261,260_0,COMPLETED,BoTorch,0.250583695127834071847416907985,316,34,50,5
262,262_0,COMPLETED,BoTorch,0.253814520019295719599483618367,304,43,53,3
263,260_0,COMPLETED,BoTorch,0.250590931017848572714967758657,316,34,50,5
264,264_0,COMPLETED,BoTorch,0.283399662325132695173124375287,637,50,215,5
265,265_0,COMPLETED,BoTorch,0.269545344910757322942629343743,605,40,135,5
266,266_0,COMPLETED,BoTorch,0.264911963338157252501048333215,615,39,81,5
267,267_0,COMPLETED,BoTorch,0.253250120598166872376566516323,308,29,51,4
268,268_0,COMPLETED,BoTorch,0.263028219971056409498544326198,577,27,96,5
269,260_0,COMPLETED,BoTorch,0.250528219971056453907465311204,316,34,50,5
270,270_0,COMPLETED,BoTorch,0.270900868306801712037668039557,613,35,149,5
271,271_0,COMPLETED,BoTorch,0.261767969126869282092684443342,629,14,57,1
272,272_0,COMPLETED,BoTorch,0.268491316931982582083549004892,575,39,127,5
273,273_0,COMPLETED,BoTorch,0.275009647853352579005559164216,633,50,167,3
274,274_0,COMPLETED,BoTorch,0.250262904003859087964656282566,315,10,50,4
275,275_0,COMPLETED,BoTorch,0.250584901109503155325342049764,316,36,50,5
276,276_0,COMPLETED,BoTorch,0.250002411963338166955850283557,314,10,50,3
277,277_0,COMPLETED,BoTorch,0.268533526290400392788626504625,575,40,131,5
278,278_0,COMPLETED,BoTorch,0.252370959961408569682816960267,310,26,50,4
279,279_0,COMPLETED,BoTorch,0.260534249879401880178875217098,144,50,50,1
280,280_0,COMPLETED,BoTorch,0.250575253256150487501940915536,317,50,50,5
281,281_0,COMPLETED,BoTorch,0.252093584177520479983058976359,321,45,50,4
282,282_0,COMPLETED,BoTorch,0.278086107091172207717022502038,138,31,144,5
283,282_0,COMPLETED,BoTorch,0.278082489146164957283247076703,138,31,144,5
284,284_0,COMPLETED,BoTorch,0.263193439459720179840473974764,188,50,50,2
285,285_0,RUNNING,BoTorch,,323,23,55,1
286,286_0,COMPLETED,BoTorch,0.272831644958996588634647650906,138,45,100,2
287,274_0,COMPLETED,BoTorch,0.250262904003859087964656282566,315,10,50,4
288,288_0,COMPLETED,BoTorch,0.261091413410516115511939005955,141,10,50,1
289,289_0,COMPLETED,BoTorch,0.278154848046309743914150658384,137,25,131,4
290,290_0,COMPLETED,BoTorch,0.267319102749638215499317084323,145,50,88,5
291,291_0,COMPLETED,BoTorch,0.250892426435118220950926115620,316,34,50,4
292,292_0,COMPLETED,BoTorch,0.261963338157260028360440173856,151,44,50,3
293,293_0,COMPLETED,BoTorch,0.277639893873613097241559444228,136,50,125,3
294,294_0,COMPLETED,BoTorch,0.270418475639170319269055653422,127,46,94,1
295,295_0,COMPLETED,BoTorch,0.250256874095513781597333036189,315,31,50,4
296,296_0,COMPLETED,BoTorch,0.261739025566811389644783503172,115,28,50,1
297,297_0,COMPLETED,BoTorch,0.257842498794018326613297631411,293,50,52,3
298,298_0,COMPLETED,BoTorch,0.250888808490110970517150690284,316,33,50,4
299,299_0,COMPLETED,BoTorch,0.249956584659913216839299821004,315,10,50,5
300,300_0,COMPLETED,BoTorch,0.273716835504100308718022915855,798,50,149,1
301,301_0,COMPLETED,BoTorch,0.284202846116739071824497386842,754,12,245,2
302,302_0,COMPLETED,BoTorch,0.280518572117703812729416767979,770,24,220,1
303,274_0,COMPLETED,BoTorch,0.250262904003859087964656282566,315,10,50,4
304,304_0,COMPLETED,BoTorch,0.250630728412928105441892512317,316,10,50,5
305,298_0,COMPLETED,BoTorch,0.250894838398456387906776399177,316,33,50,4
306,306_0,COMPLETED,BoTorch,0.250897250361794554862626682734,316,32,50,4
307,302_0,COMPLETED,BoTorch,0.280478774722624168980189551803,770,24,220,1
308,308_0,COMPLETED,BoTorch,0.281929570670525819764407060575,771,26,219,1
309,309_0,COMPLETED,BoTorch,0.276520742884708181641428836883,784,34,174,1
310,310_0,COMPLETED,BoTorch,0.259397009165460712409867483075,292,40,52,4
311,311_0,COMPLETED,BoTorch,0.261649782923299545345230399107,829,26,63,3
312,312_0,COMPLETED,BoTorch,0.281982633863965270748508373799,777,11,223,4
313,313_0,COMPLETED,BoTorch,0.268725277375783888622606809804,790,10,124,5
314,314_0,COMPLETED,BoTorch,0.282877472262421658655284772976,759,22,250,2
315,315_0,COMPLETED,BoTorch,0.250561987457790680267066818487,316,50,50,5
316,316_0,COMPLETED,BoTorch,0.250533043897732787819165878318,316,43,50,5
317,317_0,COMPLETED,BoTorch,0.253727689339122042255780797859,328,43,56,5
318,318_0,COMPLETED,BoTorch,0.279750361794500745915570405487,777,10,207,1
319,319_0,COMPLETED,BoTorch,0.277003135552339574410041223018,788,39,192,1
320,320_0,COMPLETED,BoTorch,0.250010853835021751301326276007,315,31,50,5
321,321_0,COMPLETED,BoTorch,0.250534249879401871297091020097,316,40,50,5
322,315_0,COMPLETED,BoTorch,0.250533043897732787819165878318,316,50,50,5
323,323_0,COMPLETED,BoTorch,0.250262904003859087964656282566,315,11,50,4
324,274_0,COMPLETED,BoTorch,0.250279787747226256655608267465,315,10,50,4
325,325_0,COMPLETED,BoTorch,0.256158948383984563790249922022,332,50,52,3
326,326_0,COMPLETED,BoTorch,0.254342739990352173506948929571,317,50,90,3
327,327_0,COMPLETED,BoTorch,0.249979498311625691897575052280,315,32,50,5
328,274_0,COMPLETED,BoTorch,0.250267727930535421876356849680,315,10,50,4
329,320_0,COMPLETED,BoTorch,0.249979498311625691897575052280,315,31,50,5
330,330_0,COMPLETED,BoTorch,0.255226724553786810112399052741,313,22,65,1
331,320_0,COMPLETED,BoTorch,0.250004823926676333911700567114,315,31,50,5
332,276_0,COMPLETED,BoTorch,0.250015677761697974190724380605,314,10,50,3
333,333_0,COMPLETED,BoTorch,0.250366618427399933999311087973,319,10,51,4
334,334_0,COMPLETED,BoTorch,0.257618186203569687897640960728,336,31,50,2
335,335_0,COMPLETED,BoTorch,0.250606608779546546905692139262,316,31,50,5
336,336_0,COMPLETED,BoTorch,0.256981427882296165066122739518,333,28,51,3
337,337_0,COMPLETED,BoTorch,0.253034249879401818006385838089,316,50,85,4
338,338_0,COMPLETED,BoTorch,0.255965991316931984478344475065,332,24,50,3
339,339_0,COMPLETED,BoTorch,0.252554269175108592193623735511,314,10,54,2
340,340_0,COMPLETED,BoTorch,0.253496140858658902672573276504,314,10,58,1
341,341_0,COMPLETED,BoTorch,0.253901350699469396943186438875,312,25,54,2
342,342_0,COMPLETED,BoTorch,0.250244814278822946818081618403,315,29,50,4
343,343_0,COMPLETED,BoTorch,0.255554751567776183840408066317,310,43,79,1
344,344_0,COMPLETED,BoTorch,0.256702846116738991888439613831,310,45,82,1
345,274_0,COMPLETED,BoTorch,0.250262904003859087964656282566,315,10,50,4
346,346_0,COMPLETED,BoTorch,0.255558369512783434274183491652,331,13,53,4
347,347_0,COMPLETED,BoTorch,0.250270139893873588832207133237,315,27,50,4
348,348_0,COMPLETED,BoTorch,0.256517124939700913444085017545,311,42,84,1
349,349_0,COMPLETED,BoTorch,0.250270139893873588832207133237,315,26,50,4
350,340_0,COMPLETED,BoTorch,0.253496140858658902672573276504,314,10,58,1
351,351_0,COMPLETED,BoTorch,0.250804389773275460129298153333,313,18,51,3
352,274_0,COMPLETED,BoTorch,0.250279787747226256655608267465,315,10,50,4
353,274_0,COMPLETED,BoTorch,0.250262904003859087964656282566,315,10,50,4
354,354_0,COMPLETED,BoTorch,0.251304872165943105066787666146,313,20,52,3
355,196_0,COMPLETED,BoTorch,0.250003617945007250433775425336,315,27,50,5
356,349_0,COMPLETED,BoTorch,0.250266521948866338398431707901,315,26,50,4
357,349_0,COMPLETED,BoTorch,0.250270139893873588832207133237,315,26,50,4
358,274_0,COMPLETED,BoTorch,0.250262904003859087964656282566,315,10,50,4
359,274_0,COMPLETED,BoTorch,0.250262904003859087964656282566,315,10,50,4
360,274_0,COMPLETED,BoTorch,0.250262904003859087964656282566,315,10,50,4
361,260_0,COMPLETED,BoTorch,0.250536661842740038252941303654,316,34,50,5
362,274_0,COMPLETED,BoTorch,0.250279787747226256655608267465,315,10,50,4
363,363_0,COMPLETED,BoTorch,0.253233236854799814707916993939,308,10,50,5
364,364_0,COMPLETED,BoTorch,0.253492522913651763261100313684,314,11,58,1
365,365_0,COMPLETED,BoTorch,0.256177038109020704936824586184,321,10,96,5
366,274_0,COMPLETED,BoTorch,0.250259286058851948553183319746,315,10,50,4
367,196_0,COMPLETED,BoTorch,0.250009647853352667823401134228,315,27,50,5
368,368_0,COMPLETED,BoTorch,0.249998794018330916522074858221,315,26,50,5
369,369_0,COMPLETED,BoTorch,0.256690786300048268131490658561,326,22,71,4
370,274_0,COMPLETED,BoTorch,0.250262904003859087964656282566,315,10,50,4
371,196_0,COMPLETED,BoTorch,0.250003617945007250433775425336,315,27,50,5
372,372_0,COMPLETED,BoTorch,0.250612638687891964295317848155,316,22,50,5
373,196_0,COMPLETED,BoTorch,0.249991558128316415654524007550,315,27,50,5
374,274_0,COMPLETED,BoTorch,0.250262904003859087964656282566,315,10,50,4
375,340_0,COMPLETED,BoTorch,0.253497346840327986150498418283,314,10,58,1
376,274_0,COMPLETED,BoTorch,0.250262904003859087964656282566,315,10,50,4
377,340_0,COMPLETED,BoTorch,0.253502170767004320062198985397,314,10,58,1
378,378_0,COMPLETED,BoTorch,0.252364930053063152293191251374,321,31,52,4
379,196_0,COMPLETED,BoTorch,0.250004823926676333911700567114,315,27,50,5
380,380_0,COMPLETED,BoTorch,0.250916546068499779487126488675,316,10,50,4
381,381_0,COMPLETED,BoTorch,0.252147853352629014445085431362,316,12,54,1
382,382_0,COMPLETED,BoTorch,0.252683309213699969220101593237,315,10,57,1
383,383_0,COMPLETED,BoTorch,0.252550651230101341759848310176,316,12,60,1
384,380_0,COMPLETED,BoTorch,0.250910516160154362097500779782,316,10,50,4
385,385_0,COMPLETED,BoTorch,0.253863965267727920149809506256,321,10,69,3
386,386_0,COMPLETED,BoTorch,0.253628798842257641155129022081,310,10,54,3
387,387_0,COMPLETED,BoTorch,0.256858417752050205429270590685,710,10,50,1
388,388_0,COMPLETED,BoTorch,0.260018089725036150028358861164,689,20,56,2
389,389_0,COMPLETED,BoTorch,0.262608538350217024515131925000,686,21,61,2
390,390_0,COMPLETED,BoTorch,0.258078871201157689085903257364,730,50,52,3
391,391_0,COMPLETED,BoTorch,0.263605885190545063956335525290,693,10,87,1
392,392_0,COMPLETED,BoTorch,0.257707428847081532197194064793,709,45,51,3
393,393_0,COMPLETED,BoTorch,0.260590931017848581596751955658,706,44,70,5
394,394_0,COMPLETED,BoTorch,0.259915581283164498493931660050,709,25,64,3
395,395_0,COMPLETED,BoTorch,0.262503617945007206024854440329,708,13,74,2
396,396_0,COMPLETED,BoTorch,0.258901350699469401384078537376,722,37,50,1
397,397_0,COMPLETED,BoTorch,0.261336227689339173352323086874,689,10,60,1
398,398_0,COMPLETED,BoTorch,0.262684515195369061579810932017,708,13,76,2
399,390_0,COMPLETED,BoTorch,0.258078871201157689085903257364,730,50,52,3
400,400_0,COMPLETED,BoTorch,0.260231548480463148464991718356,708,32,68,4
401,401_0,COMPLETED,BoTorch,0.263180173661360372605599877716,686,12,64,1
402,402_0,COMPLETED,BoTorch,0.257730342498794007255469296069,709,23,50,3
403,398_0,COMPLETED,BoTorch,0.262684515195369061579810932017,708,13,76,2
404,404_0,COMPLETED,BoTorch,0.260455861070911676158345926524,708,31,64,4
405,320_0,COMPLETED,BoTorch,0.249997588036661833044149716443,315,31,50,5
406,406_0,COMPLETED,BoTorch,0.260377472262421583160119098466,315,31,107,1
407,380_0,COMPLETED,BoTorch,0.250916546068499779487126488675,316,10,50,4
408,380_0,COMPLETED,BoTorch,0.250916546068499779487126488675,316,10,50,4
409,409_0,COMPLETED,BoTorch,0.249949348769898715971748970333,315,50,50,5
410,380_0,COMPLETED,BoTorch,0.250909310178485278619575638004,316,10,50,4
411,380_0,COMPLETED,BoTorch,0.250916546068499779487126488675,316,10,50,4
412,412_0,COMPLETED,BoTorch,0.296319343945972035747615791479,916,10,250,5
413,413_0,COMPLETED,BoTorch,0.258274240231548435353658987879,335,34,53,1
414,414_0,COMPLETED,BoTorch,0.250003617945007250433775425336,315,30,50,5
415,415_0,COMPLETED,BoTorch,0.254958996623251277213739740546,311,10,75,1
416,416_0,COMPLETED,BoTorch,0.256807766521948921401019561017,326,18,60,2
417,417_0,COMPLETED,BoTorch,0.250803183791606376651373011555,313,50,51,3
418,418_0,COMPLETED,BoTorch,0.289460926193921830318345200794,895,37,229,1
419,419_0,COMPLETED,BoTorch,0.254919199228171744486814986885,310,10,61,2
420,315_0,COMPLETED,BoTorch,0.250561987457790680267066818487,316,50,50,5
421,421_0,COMPLETED,BoTorch,0.264987940183309178543424877716,900,21,96,2
422,422_0,COMPLETED,BoTorch,0.250662083936324164845643736044,317,10,51,4
423,423_0,COMPLETED,BoTorch,0.257091172214182317468100791302,339,50,66,4
424,424_0,COMPLETED,BoTorch,0.250566811384466903156464923086,316,45,50,5
425,425_0,COMPLETED,BoTorch,0.249480221900627130438010681246,314,11,50,4
426,426_0,COMPLETED,BoTorch,0.289884225759768465735533027328,912,16,219,4
427,424_0,COMPLETED,BoTorch,0.250574047274481404024015773757,316,45,50,5
428,421_0,COMPLETED,BoTorch,0.264987940183309178543424877716,900,21,96,2
429,327_0,COMPLETED,BoTorch,0.250010853835021751301326276007,315,32,50,5
430,327_0,COMPLETED,BoTorch,0.250008441871683584345475992450,315,32,50,5
431,327_0,COMPLETED,BoTorch,0.249980704293294775375500194059,315,32,50,5
432,432_0,COMPLETED,BoTorch,0.254522431259044834561677816964,261,10,50,1
433,433_0,COMPLETED,BoTorch,0.249993970091654582610374291107,315,33,50,5
434,433_0,COMPLETED,BoTorch,0.249980704293294775375500194059,315,33,50,5
435,435_0,COMPLETED,BoTorch,0.266828268210323238385228705738,239,29,75,1
436,436_0,COMPLETED,BoTorch,0.266793294741919928547702056676,239,28,75,1
437,304_0,COMPLETED,BoTorch,0.250612638687891964295317848155,316,10,50,5
438,438_0,COMPLETED,BoTorch,0.256471297636275963327534554992,272,17,50,1
439,439_0,COMPLETED,BoTorch,0.264540520984081095612339140644,240,16,82,1
440,440_0,COMPLETED,BoTorch,0.266238543174143749148186088860,240,28,77,1
441,441_0,COMPLETED,BoTorch,0.255031355523396063844643322227,268,18,50,2
442,442_0,COMPLETED,BoTorch,0.263731307284129301571340420196,246,10,59,3
443,443_0,COMPLETED,BoTorch,0.266804148576941679849028332683,239,30,75,1
444,444_0,COMPLETED,BoTorch,0.267292571152918490007266427710,239,18,84,1
445,445_0,COMPLETED,BoTorch,0.256348287506029892668379943643,268,38,50,1
446,446_0,COMPLETED,BoTorch,0.250789917993246458394196451991,311,48,51,5
447,447_0,COMPLETED,BoTorch,0.251002170767004373352904167405,312,15,50,4
448,448_0,COMPLETED,BoTorch,0.250208634828750553502629827562,313,13,50,4
449,304_0,COMPLETED,BoTorch,0.250612638687891964295317848155,316,10,50,5
450,450_0,COMPLETED,BoTorch,0.263375542691751118873355608230,881,50,93,1
451,451_0,COMPLETED,BoTorch,0.261599131693198261316979369440,354,10,91,5
452,452_0,COMPLETED,BoTorch,0.258926676314520043398204052210,262,10,74,5
453,453_0,COMPLETED,BoTorch,0.266377231066087793998065080814,730,10,96,1
454,320_0,COMPLETED,BoTorch,0.249974674384949357985874485166,315,31,50,5
455,455_0,COMPLETED,BoTorch,0.257146647370959935408052388084,265,19,50,5
456,304_0,COMPLETED,BoTorch,0.250618668596237381684943557048,316,10,50,5
457,457_0,COMPLETED,BoTorch,0.259266763145200140883162021055,292,29,51,3
458,304_0,COMPLETED,BoTorch,0.250624698504582688052266803425,316,10,50,5
459,459_0,COMPLETED,BoTorch,0.258250120598166876817458614823,276,20,67,3
460,446_0,COMPLETED,BoTorch,0.250783888084901152026873205614,311,48,51,5
461,320_0,COMPLETED,BoTorch,0.250009647853352667823401134228,315,31,50,5
462,304_0,COMPLETED,BoTorch,0.250622286541244521096416519867,316,10,50,5
463,327_0,COMPLETED,BoTorch,0.249979498311625691897575052280,315,32,50,5
464,457_0,COMPLETED,BoTorch,0.259261939218523917993763916456,292,29,51,3
465,304_0,COMPLETED,BoTorch,0.250619874577906465162868698826,316,10,50,5
466,457_0,COMPLETED,BoTorch,0.259232995658466025545862976287,292,29,51,3
467,457_0,COMPLETED,BoTorch,0.259266763145200140883162021055,292,29,51,3
468,468_0,COMPLETED,BoTorch,0.258917028461167375574802917981,298,50,85,2
469,304_0,COMPLETED,BoTorch,0.250612638687891964295317848155,316,10,50,5
470,304_0,COMPLETED,BoTorch,0.250612638687891964295317848155,316,10,50,5
471,471_0,COMPLETED,BoTorch,0.252086348287505979115508125687,311,49,51,4
472,472_0,COMPLETED,BoTorch,0.250894838398456387906776399177,316,15,50,4
473,320_0,COMPLETED,BoTorch,0.249979498311625691897575052280,315,31,50,5
474,474_0,COMPLETED,BoTorch,0.254917993246502661008889845107,304,10,61,5
475,327_0,COMPLETED,BoTorch,0.250008441871683584345475992450,315,32,50,5
476,304_0,COMPLETED,BoTorch,0.250622286541244521096416519867,316,10,50,5
477,477_0,COMPLETED,BoTorch,0.256515918958031829966159875767,333,36,59,4
478,327_0,COMPLETED,BoTorch,0.249996382054992749566224574664,315,32,50,5
479,433_0,COMPLETED,BoTorch,0.249980704293294775375500194059,315,33,50,5
480,480_0,COMPLETED,BoTorch,0.254674384949348797668733368482,303,12,63,5
481,481_0,COMPLETED,BoTorch,0.250001205981669083477925141779,315,34,50,5
482,414_0,COMPLETED,BoTorch,0.249979498311625691897575052280,315,30,50,5
483,483_0,COMPLETED,BoTorch,0.254926435118186245354365837557,330,50,56,4
484,304_0,COMPLETED,BoTorch,0.250612638687891964295317848155,316,10,50,5
485,481_0,COMPLETED,BoTorch,0.249979498311625691897575052280,315,34,50,5
486,481_0,COMPLETED,BoTorch,0.250007235890014500867550850671,315,34,50,5
487,481_0,COMPLETED,BoTorch,0.249979498311625691897575052280,315,34,50,5
488,488_0,COMPLETED,BoTorch,0.258654124457308287610146635416,341,50,75,3
489,481_0,COMPLETED,BoTorch,0.249979498311625691897575052280,315,34,50,5
490,481_0,COMPLETED,BoTorch,0.250015677761697974190724380605,315,34,50,5
491,491_0,COMPLETED,BoTorch,0.255103714423540739453244441393,301,20,67,5
492,492_0,COMPLETED,BoTorch,0.261531596719729808597776354873,364,50,71,1
493,493_0,COMPLETED,BoTorch,0.256883743367100847443396105518,505,50,50,3
494,494_0,COMPLETED,BoTorch,0.261865653642064599715411077341,806,50,82,1
495,495_0,COMPLETED,BoTorch,0.258804872165943056216974582640,392,50,50,5
496,496_0,COMPLETED,BoTorch,0.263578147612156254986359726900,971,10,50,5
497,497_0,COMPLETED,BoTorch,0.258264592378195878552560316166,434,50,50,1
498,498_0,COMPLETED,BoTorch,0.262756874095513737188412051182,434,50,76,1
499,499_0,COMPLETED,BoTorch,0.260536661842739936112423038139,969,10,50,1
</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> Errors</h1>
<button class='copy_clipboard_button' onclick='copy_to_clipboard_from_id("simple_pre_tab_tab_errors")'> Copy raw data to clipboard</button>
<button onclick='download_as_file("simple_pre_tab_tab_errors", "oo_errors.txt")'> Download »oo_errors.txt« as file</button>
<pre id='simple_pre_tab_tab_errors'><span style="background-color: black; color: white">
It seems like the search space was exhausted. You were able to get 0% of the jobs you requested (got: 0, requested: 500) after main ran</span></pre><button class='copy_clipboard_button' onclick='copy_to_clipboard_from_id("simple_pre_tab_tab_errors")'> Copy raw data to clipboard</button>
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<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
1727650516,475.11328125,49.7
1727650516,475.1484375,52.4
1727650516,475.19921875,49.7
1727650516,475.19921875,54.3
1727650516,475.19921875,39.4
1727650516,475.19921875,49.8
1727650516,475.19921875,38.7
1727650562,483.5234375,49.8
1727650562,483.5234375,48.8
1727650562,483.5234375,49.7
1727650562,483.5234375,52.1
1727650564,483.5234375,49.8
1727650564,483.5234375,55.6
1727650564,483.5234375,46.3
1727650564,483.5234375,56.8
1727650565,483.5234375,49.7
1727650565,483.5234375,53.2
1727650565,483.5234375,52.8
1727650565,483.5234375,39.4
1727650567,483.5234375,49.7
1727650567,483.5234375,53.2
1727650567,483.5234375,48.6
1727650567,483.5234375,55.6
1727650568,483.5234375,49.7
1727650568,483.5234375,55.3
1727650568,483.5234375,47.3
1727650568,483.5234375,55.6
1727650570,483.5234375,49.7
1727650570,483.5234375,54.3
1727650570,483.5234375,52.4
1727650570,483.5234375,38.2
1727650571,483.5234375,49.8
1727650571,483.5234375,52.3
1727650571,483.5234375,49.5
1727650571,483.5234375,39.4
1727650572,483.5234375,49.8
1727650572,483.5234375,50.0
1727650572,483.5234375,50.5
1727650572,483.5234375,40.6
1727650574,483.5234375,49.8
1727650574,483.5234375,36.4
1727650574,483.5234375,53.8
1727650574,483.5234375,38.2
1727650575,483.5234375,49.7
1727650575,483.5234375,56.3
1727650575,483.5234375,48.6
1727650575,483.5234375,50.0
1727650577,483.5234375,49.7
1727650577,483.5234375,54.2
1727650577,483.5234375,46.7
1727650577,483.5234375,57.4
1727650578,483.5234375,49.7
1727650578,483.5234375,53.3
1727650578,483.5234375,49.5
1727650578,483.5234375,39.4
1727650580,483.5234375,49.8
1727650580,483.5234375,38.2
1727650580,483.5234375,54.2
1727650580,483.5234375,39.4
1727650581,483.5234375,49.7
1727650581,483.5234375,51.0
1727650581,483.5234375,50.4
1727650581,483.5234375,55.6
1727650582,483.5234375,49.7
1727650582,483.5234375,54.3
1727650582,483.5234375,48.1
1727650582,483.5234375,57.4
1727650584,483.5234375,49.7
1727650584,483.5234375,53.2
1727650584,483.5234375,48.6
1727650584,483.5234375,55.6
1727650585,483.5234375,49.7
1727650585,483.5234375,56.2
1727650585,483.5234375,47.7
1727650585,483.5234375,54.5
1727650587,483.5234375,49.7
1727650587,483.5234375,56.5
1727650587,483.5234375,49.0
1727650587,483.5234375,40.6
1727650588,483.5234375,49.8
1727650588,483.5234375,36.4
1727650588,483.5234375,53.3
1727650588,483.5234375,39.4
1727650589,483.5234375,49.8
1727650589,483.5234375,53.1
1727650590,483.5234375,47.2
1727650590,483.5234375,57.8
1727650591,483.5234375,49.8
1727650591,483.5234375,53.2
1727650591,483.5234375,50.9
1727650591,483.5234375,50.0
1727650592,483.5234375,49.7
1727650592,483.5234375,55.1
1727650592,483.5234375,46.8
1727650592,483.5234375,56.8
1727650594,483.5234375,49.8
1727650594,483.5234375,43.6
1727650594,483.5234375,50.4
1727650594,483.5234375,55.6
1727650595,483.5234375,49.7
1727650595,483.5234375,36.4
1727650595,483.5234375,53.8
1727650595,483.5234375,42.4
1727650597,483.5234375,49.7
1727650597,483.5234375,53.2
1727650597,483.5234375,49.1
1727650597,483.5234375,56.5
1727650598,483.5234375,49.7
1727650598,483.5234375,54.2
1727650598,483.5234375,50.4
1727650598,483.5234375,42.9
1727650599,483.5234375,49.7
1727650599,483.5234375,53.2
1727650599,483.5234375,50.4
1727650599,483.5234375,52.5
1727650601,483.5234375,49.7
1727650601,483.5234375,42.9
1727650601,483.5234375,52.5
1727650601,483.5234375,40.6
1727650602,483.5234375,49.8
1727650602,483.5234375,41.2
1727650602,483.5234375,49.0
1727650602,483.5234375,57.8
1727650604,483.5234375,49.8
1727650604,483.5234375,38.2
1727650604,483.5234375,49.0
1727650604,483.5234375,56.8
1727650605,483.5234375,49.7
1727650605,483.5234375,53.2
1727650605,483.5234375,48.1
1727650605,483.5234375,52.4
1727650606,483.5234375,49.7
1727650606,483.5234375,55.3
1727650606,483.5234375,47.7
1727650606,483.5234375,54.3
1727650608,483.5234375,49.7
1727650608,483.5234375,38.2
1727650608,483.5234375,54.3
1727650608,483.5234375,40.6
1727650609,483.5234375,49.7
1727650609,483.5234375,54.3
1727650609,483.5234375,48.6
1727650609,483.5234375,56.5
1727650611,483.5234375,49.7
1727650611,483.5234375,37.5
1727650611,483.5234375,52.7
1727650611,483.5234375,48.6
1727650612,483.5234375,49.7
1727650612,483.5234375,55.3
1727650612,483.5234375,47.7
1727650612,483.5234375,56.8
1727650613,483.5234375,49.7
1727650613,483.5234375,47.6
1727650613,483.5234375,49.6
1727650613,483.5234375,43.7
1727650615,483.5234375,49.8
1727650615,483.5234375,38.2
1727650615,483.5234375,50.9
1727650615,483.5234375,50.0
1727650616,483.5234375,49.7
1727650616,483.5234375,55.3
1727650616,483.5234375,48.1
1727650616,483.5234375,57.8
1727650617,483.5234375,49.7
1727650617,483.5234375,36.4
1727650617,483.5234375,54.2
1727650617,483.5234375,41.2
1727650619,483.5234375,49.7
1727650619,483.5234375,47.5
1727650619,483.5234375,50.9
1727650619,483.5234375,38.7
1727650620,483.5234375,49.8
1727650620,483.5234375,51.0
1727650620,483.5234375,48.6
1727650620,483.5234375,39.4
1727650622,483.5234375,49.8
1727650622,483.5234375,45.5
1727650622,483.5234375,52.1
1727650622,483.5234375,46.3
1727650623,483.5234375,49.7
1727650623,483.5234375,55.3
1727650623,483.5234375,47.6
1727650623,483.5234375,54.5
1727650625,483.5234375,49.7
1727650625,483.5234375,55.3
1727650625,483.5234375,47.2
1727650625,483.5234375,56.8
1727650626,483.5234375,49.7
1727650626,483.5234375,54.5
1727650626,483.5234375,49.5
1727650626,483.5234375,37.5
1727650627,483.5234375,49.8
1727650627,483.5234375,40.5
1727650627,483.5234375,53.3
1727650627,483.5234375,40.6
1727650629,483.5234375,49.8
1727650629,483.5234375,51.2
1727650629,483.5234375,49.5
1727650629,483.5234375,41.7
1727650630,483.5234375,49.8
1727650630,483.5234375,38.2
1727650630,483.5234375,52.9
1727650630,483.5234375,37.5
1727650632,483.5234375,49.7
1727650632,483.5234375,53.2
1727650632,483.5234375,49.0
1727650632,483.5234375,55.6
1727650633,483.52734375,49.7
1727650633,483.52734375,54.2
1727650633,483.52734375,47.7
1727650633,483.52734375,55.6
1727650634,483.52734375,49.8
1727650634,483.52734375,40.0
1727650634,483.52734375,53.8
1727650634,483.52734375,38.7
1727650636,483.52734375,49.8
1727650636,483.52734375,40.5
1727650636,483.52734375,53.4
1727650636,483.52734375,38.7
1727650637,483.52734375,49.8
1727650637,483.52734375,52.3
1727650637,483.52734375,50.0
1727650637,483.52734375,38.2
1727650639,483.52734375,49.8
1727650639,483.52734375,53.2
1727650639,483.52734375,48.1
1727650639,483.52734375,53.2
1727650640,483.52734375,49.7
1727650640,483.52734375,50.0
1727650640,483.52734375,52.5
1727650640,483.52734375,39.4
1727650641,483.52734375,49.7
1727650641,483.52734375,53.2
1727650641,483.52734375,53.3
1727650641,483.52734375,39.4
1727650643,483.52734375,49.8
1727650643,483.52734375,54.3
1727650643,483.52734375,49.7
1727650643,483.52734375,44.4
1727650644,483.52734375,49.8
1727650644,483.52734375,36.8
1727650644,483.52734375,53.8
1727650644,483.52734375,40.6
1727650646,483.52734375,49.7
1727650646,483.52734375,54.3
1727650646,483.52734375,48.5
1727650646,483.52734375,50.0
1727650647,483.52734375,49.7
1727650647,483.52734375,54.3
1727650647,483.52734375,46.8
1727650647,483.52734375,57.4
1727650648,483.52734375,49.7
1727650648,483.52734375,37.1
1727650648,483.52734375,53.8
1727650648,483.52734375,42.4
1727650650,483.52734375,49.7
1727650650,483.52734375,54.9
1727650650,483.52734375,47.7
1727650650,483.52734375,55.6
1727650651,483.52734375,49.8
1727650651,483.52734375,50.0
1727650651,483.52734375,50.0
1727650651,483.52734375,40.6
1727650653,483.52734375,49.8
1727650653,483.52734375,41.9
1727650653,483.52734375,50.4
1727650653,483.52734375,54.3
1727650654,483.52734375,49.8
1727650654,483.52734375,55.1
1727650654,483.52734375,48.1
1727650654,483.52734375,55.6
1727650655,483.52734375,49.7
1727650655,483.52734375,38.2
1727650655,483.52734375,52.9
1727650655,483.52734375,37.5
1727650657,483.52734375,49.7
1727650657,483.52734375,54.3
1727650657,483.52734375,49.5
1727650657,483.52734375,56.8
1727650658,483.52734375,49.7
1727650658,483.52734375,56.3
1727650658,483.52734375,46.7
1727650658,483.52734375,55.6
1727650660,483.52734375,49.7
1727650660,483.52734375,52.1
1727650660,483.52734375,47.7
1727650660,483.52734375,57.8
1727650661,483.52734375,49.7
1727650661,483.52734375,55.1
1727650661,483.52734375,47.2
1727650661,483.52734375,55.6
1727650662,483.52734375,49.7
1727650662,483.52734375,47.5
1727650662,483.52734375,50.4
1727650662,483.52734375,52.5
1727650664,483.52734375,49.7
1727650664,483.52734375,54.3
1727650664,483.52734375,49.0
1727650664,483.52734375,51.2
1727650665,483.52734375,49.8
1727650665,483.52734375,41.7
1727650665,483.52734375,51.8
1727650665,483.52734375,50.0
1727650667,483.52734375,49.7
1727650667,483.52734375,55.6
1727650667,483.52734375,47.6
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1727651017,483.59375,35.3
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1727651021,483.59375,55.6
1727651023,483.59375,49.7
1727651023,483.59375,55.3
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1727651026,483.59375,49.7
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1727651027,483.59375,49.7
1727651027,483.59375,52.3
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1727651028,483.59375,38.9
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1727651034,483.59375,51.2
1727651035,483.59375,49.7
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1727651035,483.59375,55.6
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1727651038,483.59375,56.8
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1727651040,483.59375,51.0
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1727651041,483.59375,53.2
1727651042,483.59375,49.8
1727651042,483.59375,38.2
1727651042,483.59375,53.3
1727651042,483.59375,40.6
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1727651044,483.59375,50.0
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1727651045,483.59375,52.9
1727651045,483.59375,37.5
1727651047,483.59375,49.7
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1727651047,483.59375,57.8
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1727651049,483.59375,49.7
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1727651051,483.59375,49.7
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1727651052,483.59375,49.7
1727651052,483.59375,44.4
1727651052,483.59375,50.0
1727651052,483.59375,58.1
1727651054,483.59375,49.7
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1727651054,483.59375,56.5
1727651055,483.59375,49.7
1727651055,483.59375,50.0
1727651055,483.59375,47.8
1727651055,483.59375,56.8
1727651056,483.59375,49.7
1727651056,483.59375,56.5
1727651056,483.59375,46.3
1727651056,483.59375,57.8
1727651058,483.59375,49.7
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1727651058,483.59375,48.1
1727651058,483.59375,53.2
1727651059,483.59375,49.7
1727651059,483.59375,55.3
1727651059,483.59375,48.1
1727651059,483.59375,54.2
1727651061,483.59375,49.7
1727651061,483.59375,54.3
1727651061,483.59375,48.6
1727651061,483.59375,57.8
1727651062,483.59375,49.7
1727651062,483.59375,55.3
1727651062,483.59375,48.6
1727651062,483.59375,53.1
1727651063,483.59375,49.7
1727651063,483.59375,53.2
1727651063,483.59375,51.2
1727651063,483.59375,37.5
1727651065,483.59375,49.8
1727651065,483.59375,55.6
1727651065,483.59375,47.3
1727651065,483.59375,56.5
1727651066,483.59375,49.7
1727651066,483.59375,54.3
1727651066,483.59375,47.2
1727651066,483.59375,56.5
1727651068,483.59375,49.8
1727651068,483.59375,36.4
1727651068,483.59375,54.2
1727651068,483.59375,40.6
1727651069,483.59375,49.7
1727651069,483.59375,56.3
1727651069,483.59375,48.1
1727651069,483.59375,55.6
1727651070,483.59375,49.7
1727651070,483.59375,54.2
1727651070,483.59375,48.1
1727651070,483.59375,44.4
1727651072,483.59375,49.8
1727651072,483.59375,47.5
1727651072,483.59375,51.8
1727651072,483.59375,41.9
1727651073,483.59375,49.7
1727651073,483.59375,38.2
1727651073,483.59375,53.4
1727651073,483.59375,40.6
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1727651075,483.59375,48.6
1727651075,483.59375,57.8
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1727651077,483.59375,53.2
1727651079,483.59375,49.7
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1727651087,483.59375,50.8
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1727651088,483.59375,39.4
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1727651093,483.59375,51.2
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1727651094,483.59375,37.5
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1727651095,483.59375,38.9
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1727651097,483.59375,57.8
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1727651100,483.59375,48.8
1727651100,483.59375,51.8
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1727651104,483.59375,49.7
1727651104,483.59375,55.6
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1727651105,483.59375,50.9
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1727651111,483.59375,41.9
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1727651112,483.59375,52.4
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1727651114,483.59375,47.7
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1727651115,483.59375,49.7
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1727651115,483.59375,49.5
1727651115,483.59375,42.9
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1727651116,483.59375,39.4
1727651118,483.59375,49.8
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1727651118,483.59375,40.0
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1727651119,483.59375,38.2
1727651119,483.59375,52.9
1727651119,483.59375,47.6
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1727651122,483.59375,49.7
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1727651136,483.6015625,46.3
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1727651163,483.6015625,49.8
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1727651167,483.6015625,54.5
1727651169,483.6015625,49.7
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1727651170,483.6015625,49.7
1727651170,483.6015625,37.5
1727651170,483.6015625,54.2
1727651170,483.6015625,40.6
1727651171,483.6015625,49.7
1727651171,483.6015625,52.1
1727651171,483.6015625,51.6
1727651171,483.6015625,42.4
1727651173,483.6015625,49.7
1727651173,483.6015625,53.1
1727651173,483.6015625,50.4
1727651173,483.6015625,48.7
1727651174,483.6015625,49.8
1727651174,483.6015625,53.2
1727651174,483.6015625,48.1
1727651174,483.6015625,56.8
1727651176,483.6015625,49.7
1727651176,483.6015625,55.3
1727651176,483.6015625,48.6
1727651176,483.6015625,54.3
1727651177,483.6015625,49.7
1727651177,483.6015625,38.9
1727651177,483.6015625,52.1
1727651177,483.6015625,53.3
1727651178,483.6015625,49.7
1727651178,483.6015625,35.3
1727651178,483.6015625,52.5
1727651178,483.6015625,46.2
1727651180,483.6015625,49.8
1727651180,483.6015625,42.1
1727651180,483.6015625,53.8
1727651180,483.6015625,39.4
1727651181,483.6015625,49.7
1727651181,483.6015625,54.3
1727651181,483.6015625,47.2
1727651181,483.6015625,58.3
1727651183,483.6015625,49.7
1727651183,483.6015625,54.3
1727651183,483.6015625,47.6
1727651183,483.6015625,39.4
1727651184,483.6015625,49.8
1727651184,483.6015625,36.4
1727651184,483.6015625,50.4
1727651184,483.6015625,57.4
1727651185,483.6015625,49.7
1727651185,483.6015625,53.2
1727651185,483.6015625,46.8
1727651185,483.6015625,57.8
1727651187,483.6015625,49.7
1727651187,483.6015625,39.4
1727651187,483.6015625,52.5
1727651187,483.6015625,37.5
1727651188,483.6015625,49.8
1727651188,483.6015625,52.1
1727651188,483.6015625,49.5
1727651188,483.6015625,54.8
1727651190,483.6015625,49.7
1727651190,483.6015625,53.2
1727651190,483.6015625,48.1
1727651190,483.6015625,56.5
1727651191,483.6015625,49.8
1727651191,483.6015625,56.2
1727651191,483.6015625,47.2
1727651191,483.6015625,56.8
1727651192,483.6015625,49.7
1727651192,483.6015625,55.6
1727651192,483.6015625,47.2
1727651192,483.6015625,55.1
1727651194,483.6015625,49.8
1727651194,483.6015625,53.2
1727651194,483.6015625,47.2
1727651194,483.6015625,57.4
1727651195,483.6015625,49.8
1727651195,483.6015625,55.6
1727651195,483.6015625,49.1
1727651195,483.6015625,44.4
1727651197,483.6015625,49.7
1727651197,483.6015625,55.3
1727651197,483.6015625,47.2
1727651197,483.6015625,58.1
1727651198,483.6015625,49.7
1727651198,483.6015625,55.6
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1727651310,484.66015625,48.7
1727651312,484.66015625,49.9
1727651312,484.66015625,55.3
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1727651314,484.66015625,49.9
1727651314,484.66015625,53.3
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1727651314,484.66015625,39.4
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1727651317,484.66015625,51.2
1727651319,484.66015625,49.9
1727651319,484.66015625,54.2
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1727651319,484.66015625,55.6
1727651321,484.66015625,49.9
1727651321,484.66015625,55.3
1727651321,484.66015625,49.6
1727651321,484.66015625,39.4
1727651323,484.66015625,49.9
1727651323,484.66015625,55.3
1727651323,484.66015625,48.9
1727651323,484.66015625,56.8
1727651326,484.66015625,49.9
1727651326,484.66015625,55.6
1727651326,484.66015625,51.2
1727651326,484.66015625,37.5
1727651328,484.66015625,49.9
1727651328,484.66015625,50.0
1727651328,484.66015625,48.3
1727651328,484.66015625,56.8
1727651330,484.66015625,49.9
1727651330,484.66015625,36.4
1727651330,484.66015625,51.2
1727651330,484.66015625,55.8
1727651332,484.66015625,49.9
1727651332,484.66015625,55.3
1727651332,484.66015625,50.4
1727651332,484.66015625,39.4
1727651335,484.66015625,49.9
1727651335,484.66015625,53.1
1727651335,484.66015625,51.6
1727651335,484.66015625,39.4
1727651337,484.66015625,49.9
1727651337,484.66015625,39.4
1727651337,484.66015625,51.6
1727651337,484.66015625,44.1
1727651339,484.66015625,49.9
1727651339,484.66015625,55.1
1727651339,484.66015625,51.2
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1727651341,484.66015625,49.9
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1727651341,484.66015625,54.5
1727651344,484.66015625,49.9
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1727651346,484.66015625,49.9
1727651346,484.66015625,53.2
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1727651346,484.66015625,39.4
1727651348,484.66015625,49.9
1727651348,484.66015625,39.4
1727651348,484.66015625,50.8
1727651348,484.66015625,51.2
1727651351,484.70703125,49.9
1727651351,484.70703125,37.1
1727651351,484.70703125,49.6
1727651351,484.70703125,58.7
1727651353,484.70703125,49.8
1727651353,484.70703125,54.3
1727651353,484.70703125,52.0
1727651353,484.70703125,37.5
1727651355,484.70703125,49.9
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1727651355,484.70703125,56.5
1727651358,484.70703125,49.9
1727651358,484.70703125,53.2
1727651358,484.70703125,46.4
1727651358,484.70703125,54.2
1727651360,484.70703125,49.9
1727651360,484.70703125,55.6
1727651360,484.70703125,47.9
1727651360,484.70703125,48.8
1727651362,484.70703125,49.9
1727651362,484.70703125,55.3
1727651362,484.70703125,48.9
1727651362,484.70703125,56.5
1727651365,484.78125,49.9
1727651365,484.78125,38.2
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1727651367,484.78125,49.9
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1727651369,484.78125,49.9
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1727651371,484.78125,42.4
1727651374,484.78125,49.9
1727651374,484.78125,55.6
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1727651376,484.78125,49.9
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1727651378,484.78125,49.9
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1727651380,484.78125,49.9
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1727651383,484.78125,49.9
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1727651383,484.78125,57.8
1727651385,484.78125,49.9
1727651385,484.78125,53.2
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1727651385,484.78125,40.0
1727651387,484.78125,49.9
1727651387,484.78125,52.4
1727651387,484.78125,47.5
1727651387,484.78125,56.8
1727651389,484.78125,49.9
1727651389,484.78125,49.1
1727651389,484.78125,51.7
1727651389,484.78125,41.2
1727651392,484.78125,49.9
1727651392,484.78125,55.3
1727651392,484.78125,49.6
1727651392,484.78125,40.5
1727651394,484.78125,49.9
1727651394,484.78125,37.1
1727651394,484.78125,51.8
1727651394,484.78125,47.2
1727651396,484.78125,49.9
1727651396,484.78125,38.2
1727651396,484.78125,51.8
1727651396,484.78125,47.4
1727651398,484.78125,49.9
1727651398,484.78125,54.3
1727651398,484.78125,48.9
1727651398,484.78125,58.7
1727651401,484.78125,49.9
1727651401,484.78125,56.3
1727651401,484.78125,51.4
1727651401,484.78125,39.4
1727651403,484.78125,49.9
1727651403,484.78125,52.0
1727651403,484.78125,49.2
1727651403,484.78125,54.3
1727651405,484.78125,49.9
1727651405,484.78125,39.0
1727651405,484.78125,51.7
1727651405,484.78125,50.0
1727651407,484.78125,49.8
1727651407,484.78125,53.3
1727651407,484.78125,48.9
1727651407,484.78125,57.8
1727651410,484.78125,49.9
1727651410,484.78125,55.3
1727651410,484.78125,48.1
1727651410,484.78125,38.7
1727651412,484.78125,49.9
1727651412,484.78125,55.3
1727651412,484.78125,50.0
1727651412,484.78125,37.5
1727651414,484.78125,49.9
1727651414,484.78125,53.2
1727651414,484.78125,50.0
1727651414,484.78125,39.4
1727651416,484.78125,49.9
1727651416,484.78125,54.2
1727651416,484.78125,48.1
1727651416,484.78125,54.5
1727651419,484.78125,49.8
1727651419,484.78125,52.1
1727651419,484.78125,49.2
1727651419,484.78125,54.3
1727651421,484.78125,49.9
1727651421,484.78125,54.3
1727651421,484.78125,49.6
1727651421,484.78125,54.5
1727651423,484.83984375,49.9
1727651423,484.83984375,37.5
1727651423,484.83984375,49.2
1727651423,484.83984375,59.6
1727651426,484.83984375,49.8
1727651426,484.83984375,55.3
1727651426,484.83984375,49.2
1727651426,484.83984375,57.8
1727651428,484.83984375,49.8
1727651428,484.83984375,55.6
1727651428,484.83984375,48.5
1727651428,484.83984375,56.5
1727651430,484.83984375,49.9
1727651430,484.83984375,56.5
1727651430,484.83984375,48.5
1727651430,484.83984375,56.8
1727651433,484.83984375,49.9
1727651433,484.83984375,56.2
1727651433,484.83984375,48.8
1727651433,484.83984375,38.7
1727651435,484.83984375,49.9
1727651435,484.83984375,53.2
1727651435,484.83984375,50.8
1727651435,484.83984375,39.4
1727651437,484.8828125,49.9
1727651437,484.8828125,54.3
1727651437,484.8828125,50.0
1727651437,484.8828125,50.0
1727651440,484.8828125,49.9
1727651440,484.8828125,38.2
1727651440,484.8828125,52.4
1727651440,484.8828125,44.4
1727651442,484.8828125,49.9
1727651442,484.8828125,55.3
1727651442,484.8828125,48.1
1727651442,484.8828125,56.5
1727651444,484.8828125,49.9
1727651444,484.8828125,38.2
1727651444,484.8828125,52.7
1727651444,484.8828125,40.6
1727651446,484.8828125,49.9
1727651446,484.8828125,52.0
1727651446,484.8828125,48.1
1727651446,484.8828125,56.5
1727651449,484.8828125,49.9
1727651449,484.8828125,38.9
1727651449,484.8828125,52.8
1727651449,484.8828125,40.6
1727651451,484.8828125,49.9
1727651451,484.8828125,35.3
1727651451,484.8828125,53.1
1727651451,484.8828125,38.2
1727651454,484.8828125,49.9
1727651454,484.8828125,53.2
1727651454,484.8828125,47.4
1727651454,484.8828125,55.6
1727651456,484.8828125,49.9
1727651456,484.8828125,43.6
1727651456,484.8828125,50.7
1727651456,484.8828125,52.1
1727651458,484.8828125,49.9
1727651458,484.8828125,54.2
1727651458,484.8828125,48.6
1727651458,484.8828125,50.0
1727651460,484.8828125,49.9
1727651460,484.8828125,54.3
1727651460,484.8828125,47.8
1727651460,484.8828125,55.8
1727651463,484.8828125,49.9
1727651463,484.8828125,38.9
1727651463,484.8828125,51.4
1727651463,484.8828125,46.2
1727651465,484.8828125,49.9
1727651465,484.8828125,54.3
1727651465,484.8828125,48.1
1727651465,484.8828125,56.5
1727651467,484.8828125,49.8
1727651467,484.8828125,53.2
1727651467,484.8828125,48.1
1727651467,484.8828125,56.3
1727651469,484.8828125,49.9
1727651469,484.8828125,38.2
1727651469,484.8828125,52.7
1727651469,484.8828125,38.7
1727651472,484.8828125,49.9
1727651472,484.8828125,55.6
1727651472,484.8828125,52.0
1727651472,484.8828125,37.5
1727651474,484.8828125,49.9
1727651474,484.8828125,53.2
1727651474,484.8828125,50.0
1727651474,484.8828125,56.8
1727651476,484.8828125,49.8
1727651476,484.8828125,54.3
1727651476,484.8828125,52.0
1727651476,484.8828125,39.4
1727651478,484.91796875,49.9
1727651478,484.91796875,55.3
1727651478,484.91796875,52.0
1727651478,484.91796875,39.4
1727651480,484.91796875,49.9
1727651480,484.91796875,54.2
1727651480,484.91796875,50.3
1727651480,484.91796875,38.7
1727651482,484.91796875,49.9
1727651482,484.91796875,44.7
1727651482,484.91796875,49.7
1727651482,484.91796875,56.8
1727651485,484.91796875,49.9
1727651485,484.91796875,39.4
1727651485,484.91796875,51.3
1727651485,484.91796875,55.6
1727651487,484.91796875,49.9
1727651487,484.91796875,54.2
1727651487,484.91796875,50.7
1727651487,484.91796875,41.2
1727651489,484.91796875,49.9
1727651489,484.91796875,52.2
1727651489,484.91796875,47.4
1727651489,484.91796875,56.2
1727651491,484.91796875,49.9
1727651491,484.91796875,38.2
1727651491,484.91796875,51.7
1727651491,484.91796875,55.6
1727651494,484.91796875,49.9
1727651494,484.91796875,55.6
1727651494,484.91796875,51.0
1727651494,484.91796875,41.7
1727651496,484.91796875,49.8
1727651496,484.91796875,56.3
1727651496,484.91796875,50.0
1727651496,484.91796875,45.9
1727651498,484.91796875,49.9
1727651498,484.91796875,53.1
1727651498,484.91796875,48.1
1727651498,484.91796875,56.5
1727651500,484.91796875,49.8
1727651500,484.91796875,53.2
1727651500,484.91796875,50.3
1727651500,484.91796875,55.3
1727651503,484.91796875,49.9
1727651503,484.91796875,49.0
1727651503,484.91796875,51.3
1727651503,484.91796875,51.2
1727651505,484.91796875,49.9
1727651505,484.91796875,56.3
1727651505,484.91796875,50.7
1727651505,484.91796875,50.0
1727651507,484.91796875,49.9
1727651507,484.91796875,42.1
1727651507,484.91796875,50.3
1727651507,484.91796875,55.6
1727651510,484.91796875,49.8
1727651510,484.91796875,53.2
1727651510,484.91796875,49.4
1727651510,484.91796875,56.5
1727651512,484.91796875,49.9
1727651512,484.91796875,39.4
1727651512,484.91796875,50.3
1727651512,484.91796875,55.6
1727651514,484.91796875,49.9
1727651514,484.91796875,53.3
1727651514,484.91796875,48.1
1727651514,484.91796875,56.3
1727651516,484.91796875,49.8
1727651516,484.91796875,54.2
1727651516,484.91796875,46.7
1727651516,484.91796875,57.8
1727651518,484.91796875,49.8
1727651518,484.91796875,53.2
1727651518,484.91796875,52.0
1727651518,484.91796875,39.4
1727651521,484.91796875,49.9
1727651521,484.91796875,51.2
1727651521,484.91796875,49.6
1727651521,484.91796875,55.6
1727651523,484.91796875,49.9
1727651523,484.91796875,55.3
1727651523,484.91796875,50.7
1727651523,484.91796875,42.4
1727651525,484.91796875,49.8
1727651525,484.91796875,44.7
1727651525,484.91796875,49.7
1727651525,484.91796875,56.8
1727651527,484.91796875,49.8
1727651527,484.91796875,39.4
1727651527,484.91796875,52.0
1727651527,484.91796875,40.6
1727651530,484.91796875,49.8
1727651530,484.91796875,54.3
1727651530,484.91796875,49.7
1727651530,484.91796875,56.8
1727651532,484.91796875,49.9
1727651532,484.91796875,45.9
1727651532,484.91796875,50.0
1727651532,484.91796875,56.8
1727651534,484.91796875,49.9
1727651534,484.91796875,54.3
1727651534,484.91796875,47.1
1727651534,484.91796875,55.6
1727651536,484.94140625,49.9
1727651536,484.94140625,46.3
1727651536,484.94140625,51.3
1727651536,484.94140625,39.4
1727651539,484.94140625,49.9
1727651539,484.94140625,41.7
1727651539,484.94140625,52.7
1727651539,484.94140625,37.5
1727651541,484.94140625,49.9
1727651541,484.94140625,54.3
1727651541,484.94140625,50.7
1727651541,484.94140625,36.4
1727651543,484.94140625,49.9
1727651543,484.94140625,55.1
1727651543,484.94140625,47.5
1727651543,484.94140625,55.3
1727651545,484.94140625,49.9
1727651545,484.94140625,54.3
1727651545,484.94140625,50.0
1727651545,484.94140625,40.6
1727651547,484.94140625,49.9
1727651547,484.94140625,56.2
1727651547,484.94140625,47.5
1727651547,484.94140625,54.3
1727651549,484.94140625,49.9
1727651549,484.94140625,36.4
1727651549,484.94140625,50.7
1727651549,484.94140625,56.8
1727651552,484.94140625,49.9
1727651552,484.94140625,35.3
1727651552,484.94140625,51.4
1727651552,484.94140625,55.6
1727651554,484.94140625,49.9
1727651554,484.94140625,36.4
1727651554,484.94140625,51.8
1727651554,484.94140625,47.5
1727651556,484.94140625,49.9
1727651556,484.94140625,35.3
1727651556,484.94140625,50.7
1727651556,484.94140625,55.6
1727651558,484.94140625,49.9
1727651558,484.94140625,36.4
1727651558,484.94140625,50.9
1727651558,484.94140625,56.5
1727651561,484.94140625,49.9
1727651561,484.94140625,36.4
1727651561,484.94140625,50.8
1727651561,484.94140625,57.8
1727651563,484.94140625,49.9
1727651563,484.94140625,38.2
1727651563,484.94140625,50.0
1727651563,484.94140625,56.5
1727651565,484.9453125,49.9
1727651565,484.9453125,42.1
1727651565,484.9453125,51.0
1727651565,484.9453125,55.6
1727651567,484.9453125,49.9
1727651567,484.9453125,38.2
1727651567,484.9453125,49.7
1727651567,484.9453125,56.8
1727651570,484.9453125,49.9
1727651570,484.9453125,56.3
1727651570,484.9453125,49.7
1727651570,484.9453125,39.4
1727651572,484.9453125,49.9
1727651572,484.9453125,55.3
1727651572,484.9453125,50.0
1727651572,484.9453125,53.3
1727651574,484.9453125,49.8
1727651574,484.9453125,55.3
1727651574,484.9453125,48.1
1727651574,484.9453125,57.4
1727651576,484.9453125,49.9
1727651576,484.9453125,37.1
1727651576,484.9453125,50.6
1727651576,484.9453125,53.5
1727651579,484.9453125,49.8
1727651579,484.9453125,55.3
1727651579,484.9453125,51.1
1727651579,484.9453125,38.7
1727651581,484.9453125,49.9
1727651581,484.9453125,40.0
1727651581,484.9453125,52.3
1727651581,484.9453125,38.7
1727651583,484.9453125,49.9
1727651583,484.9453125,35.3
1727651583,484.9453125,50.3
1727651583,484.9453125,55.6
1727651585,484.9453125,49.9
1727651585,484.9453125,46.4
1727651585,484.9453125,48.4
1727651585,484.9453125,54.5
1727651587,484.9453125,49.9
1727651587,484.9453125,51.0
1727651587,484.9453125,49.7
1727651587,484.9453125,40.6
1727651590,484.9453125,49.9
1727651590,484.9453125,56.3
1727651590,484.9453125,49.3
1727651590,484.9453125,57.4
1727651592,484.9453125,49.8
1727651592,484.9453125,54.3
1727651592,484.9453125,49.1
1727651592,484.9453125,51.0
1727651594,484.9453125,49.9
1727651594,484.9453125,51.2
1727651594,484.9453125,49.7
1727651594,484.9453125,55.6
1727651596,485.07421875,49.9
1727651596,485.07421875,40.0
1727651596,485.07421875,52.1
1727651596,485.07421875,39.4
1727651598,485.07421875,49.8
1727651598,485.07421875,54.2
1727651598,485.07421875,50.3
1727651598,485.07421875,45.9
1727651601,485.07421875,49.9
1727651601,485.07421875,47.5
1727651601,485.07421875,50.3
1727651601,485.07421875,55.6
1727651603,485.07421875,49.8
1727651603,485.07421875,52.3
1727651603,485.07421875,49.4
1727651603,485.07421875,56.8
1727651605,485.07421875,49.9
1727651605,485.07421875,56.5
1727651605,485.07421875,50.0
1727651605,485.07421875,38.7
1727651607,485.07421875,49.9
1727651607,485.07421875,56.5
1727651607,485.07421875,50.6
1727651607,485.07421875,39.4
1727651609,485.07421875,49.9
1727651609,485.07421875,54.2
1727651609,485.07421875,48.1
1727651609,485.07421875,54.3
1727651612,485.07421875,49.9
1727651612,485.07421875,54.2
1727651612,485.07421875,49.5
1727651612,485.07421875,55.6
1727651614,485.07421875,49.9
1727651614,485.07421875,55.3
1727651614,485.07421875,48.7
1727651614,485.07421875,55.6
1727651616,485.07421875,49.8
1727651616,485.07421875,41.5
1727651616,485.07421875,50.9
1727651616,485.07421875,58.3
1727651618,485.07421875,49.8
1727651618,485.07421875,55.3
1727651618,485.07421875,49.5
1727651618,485.07421875,53.7
1727651620,485.07421875,49.9
1727651620,485.07421875,53.3
1727651620,485.07421875,50.0
1727651620,485.07421875,39.4
1727651622,485.07421875,49.9
1727651622,485.07421875,39.4
1727651622,485.07421875,51.3
1727651622,485.07421875,52.5
1727651624,485.07421875,49.8
1727651624,485.07421875,56.5
1727651624,485.07421875,48.4
1727651624,485.07421875,57.8
1727651626,485.07421875,49.8
1727651626,485.07421875,56.5
1727651626,485.07421875,47.8
1727651626,485.07421875,56.0
1727651629,485.07421875,49.8
1727651629,485.07421875,54.9
1727651629,485.07421875,49.7
1727651629,485.07421875,39.4
1727651631,485.07421875,49.8
1727651631,485.07421875,54.2
1727651631,485.07421875,47.2
1727651631,485.07421875,56.5
1727651633,485.07421875,49.9
1727651633,485.07421875,46.2
1727651633,485.07421875,51.2
1727651633,485.07421875,39.4
1727651635,485.07421875,49.9
1727651635,485.07421875,38.2
1727651635,485.07421875,52.3
1727651635,485.07421875,40.6
1727651637,485.07421875,49.9
1727651637,485.07421875,40.0
1727651637,485.07421875,52.4
1727651637,485.07421875,39.4
1727651639,485.07421875,49.8
1727651639,485.07421875,55.3
1727651639,485.07421875,51.5
1727651639,485.07421875,41.2
1727651641,485.07421875,49.9
1727651641,485.07421875,42.9
1727651641,485.07421875,49.0
1727651641,485.07421875,57.8
1727651644,485.07421875,49.9
1727651644,485.07421875,55.3
1727651644,485.07421875,48.1
1727651644,485.07421875,57.8
1727651646,485.07421875,49.8
1727651646,485.07421875,44.7
1727651646,485.07421875,51.5
1727651646,485.07421875,39.4
1727651648,485.07421875,49.8
1727651648,485.07421875,54.3
1727651648,485.07421875,51.2
1727651648,485.07421875,44.1
1727651650,485.07421875,49.8
1727651650,485.07421875,54.3
1727651650,485.07421875,48.7
1727651650,485.07421875,55.6
1727651652,485.07421875,49.8
1727651652,485.07421875,55.3
1727651652,485.07421875,47.8
1727651652,485.07421875,55.6
1727651654,485.1015625,49.9
1727651654,485.1015625,38.2
1727651654,485.1015625,52.0
1727651654,485.1015625,40.6
1727651656,485.1015625,49.8
1727651656,485.1015625,55.3
1727651656,485.1015625,48.1
1727651656,485.1015625,56.8
1727651658,485.1015625,49.8
1727651658,485.1015625,36.4
1727651658,485.1015625,52.9
1727651658,485.1015625,37.5
1727651661,485.1015625,49.9
1727651661,485.1015625,37.5
1727651661,485.1015625,52.6
1727651661,485.1015625,38.7
1727651663,485.1015625,49.9
1727651663,485.1015625,37.1
1727651663,485.1015625,50.8
1727651663,485.1015625,56.8
1727651665,485.1015625,49.9
1727651665,485.1015625,41.2
1727651665,485.1015625,51.2
1727651665,485.1015625,39.4
1727651667,485.1015625,49.8
1727651667,485.1015625,56.5
1727651667,485.1015625,48.1
1727651667,485.1015625,57.8
1727651669,485.1015625,49.8
1727651669,485.1015625,46.2
1727651669,485.1015625,51.1
1727651669,485.1015625,38.7
1727651671,485.1015625,49.9
1727651671,485.1015625,56.5
1727651671,485.1015625,48.1
1727651671,485.1015625,56.5
1727651673,485.1015625,49.9
1727651673,485.1015625,36.4
1727651673,485.1015625,52.3
1727651673,485.1015625,38.2
1727651676,485.1015625,49.9
1727651676,485.1015625,54.3
1727651676,485.1015625,49.7
1727651676,485.1015625,39.4
1727651678,485.1015625,49.9
1727651678,485.1015625,38.2
1727651678,485.1015625,50.3
1727651678,485.1015625,55.6
1727651680,485.1015625,49.9
1727651680,485.1015625,38.2
1727651680,485.1015625,50.0
1727651680,485.1015625,56.8
1727651682,486.62109375,49.8
1727651682,486.62109375,54.2
1727651682,486.62109375,47.5
1727651682,486.62109375,56.5
1727651684,486.62109375,49.9
1727651684,486.62109375,54.3
1727651684,486.62109375,47.9
1727651684,486.62109375,55.3
1727651686,486.62109375,49.9
1727651686,486.62109375,48.8
1727651686,486.62109375,49.1
1727651686,486.62109375,55.6
1727651688,486.62109375,49.8
1727651688,486.62109375,58.3
1727651688,486.62109375,47.5
1727651688,486.62109375,57.8
1727651691,489.0546875,49.8
1727651691,489.0546875,53.1
1727651691,489.0546875,51.1
1727651691,489.0546875,39.4
1727651693,489.0546875,49.8
1727651693,489.0546875,55.3
1727651693,489.0546875,48.5
1727651693,489.0546875,53.7
1727651695,489.0546875,49.9
1727651695,489.0546875,43.2
1727651695,489.0546875,50.8
1727651695,489.0546875,48.7
1727651697,489.0546875,49.8
1727651697,489.0546875,54.3
1727651697,489.0546875,48.8
1727651697,489.0546875,54.5
1727651699,489.0546875,49.8
1727651699,489.0546875,54.3
1727651699,489.0546875,51.7
1727651699,489.0546875,35.3
1727651701,489.48046875,49.9
1727651701,489.48046875,54.3
1727651701,489.48046875,48.1
1727651701,489.48046875,56.5
1727651703,489.48046875,49.9
1727651703,489.48046875,54.2
1727651703,489.48046875,49.2
1727651703,489.48046875,40.6
1727651706,489.48046875,49.8
1727651706,489.48046875,56.5
1727651706,489.48046875,47.5
1727651706,489.48046875,57.4
1727651708,489.48046875,49.8
1727651708,489.48046875,52.3
1727651708,489.48046875,48.5
1727651708,489.48046875,55.6
1727651710,489.48046875,49.8
1727651710,489.48046875,55.3
1727651710,489.48046875,49.4
1727651710,489.48046875,37.1
1727651712,489.59375,49.9
1727651712,489.59375,36.4
1727651712,489.59375,50.3
1727651712,489.59375,55.6
1727651714,489.59375,49.9
1727651714,489.59375,37.1
1727651714,489.59375,50.9
1727651714,489.59375,57.4
1727651716,489.59375,49.8
1727651716,489.59375,37.8
1727651716,489.59375,49.7
1727651716,489.59375,51.0
1727651718,489.59375,49.9
1727651718,489.59375,55.3
1727651718,489.59375,50.0
1727651718,489.59375,50.0
1727651721,489.671875,49.8
1727651721,489.671875,52.3
1727651721,489.671875,47.9
1727651721,489.671875,55.6
1727651723,489.671875,49.8
1727651723,489.671875,55.3
1727651723,489.671875,50.6
1727651723,489.671875,40.6
1727651725,489.671875,49.9
1727651725,489.671875,38.2
1727651725,489.671875,50.0
1727651725,489.671875,53.5
1727651727,489.671875,49.9
1727651727,489.671875,37.1
1727651727,489.671875,50.8
1727651727,489.671875,56.8
1727651729,489.671875,49.8
1727651729,489.671875,54.2
1727651729,489.671875,49.7
1727651729,489.671875,57.8
1727651732,489.828125,49.8
1727651732,489.828125,52.1
1727651732,489.828125,50.0
1727651732,489.828125,55.6
1727651734,489.828125,49.9
1727651734,489.828125,44.7
1727651734,489.828125,50.6
1727651734,489.828125,40.6
1727651739,489.828125,49.7
1727651739,489.828125,54.3
1727651739,489.828125,49.7
1727651739,489.828125,57.8
1727651742,489.84375,49.8
1727651742,489.84375,56.5
1727651742,489.84375,48.6
1727651742,489.84375,56.5
1727651744,489.84375,49.8
1727651744,489.84375,55.3
1727651744,489.84375,50.3
1727651744,489.84375,42.4
1727651746,489.84375,49.8
1727651746,489.84375,54.3
1727651746,489.84375,50.3
1727651746,489.84375,37.5
1727651748,489.84375,49.9
1727651748,489.84375,52.0
1727651748,489.84375,48.9
1727651748,489.84375,56.8
1727651751,489.84375,49.9
1727651751,489.84375,56.2
1727651751,489.84375,47.8
1727651751,489.84375,56.5
1727651753,489.84765625,49.8
1727651753,489.84765625,54.2
1727651753,489.84765625,48.4
1727651753,489.84765625,56.5
1727651755,489.84765625,49.8
1727651755,489.84765625,53.2
1727651755,489.84765625,50.3
1727651755,489.84765625,40.6
1727651757,489.84765625,49.9
1727651757,489.84765625,37.5
1727651757,489.84765625,51.6
1727651757,489.84765625,51.3
1727651759,489.84765625,49.8
1727651759,489.84765625,36.4
1727651759,489.84765625,52.0
1727651759,489.84765625,40.6
1727651761,489.84765625,49.9
1727651761,489.84765625,55.6
1727651761,489.84765625,50.3
1727651761,489.84765625,38.7
1727651763,489.84765625,49.9
1727651763,489.84765625,46.2
1727651763,489.84765625,50.0
1727651763,489.84765625,57.8
1727651766,489.84765625,49.8
1727651766,489.84765625,55.6
1727651766,489.84765625,48.6
1727651766,489.84765625,55.3
1727651768,489.84765625,49.8
1727651768,489.84765625,38.2
1727651768,489.84765625,52.0
1727651768,489.84765625,37.5
1727651770,489.84765625,49.8
1727651770,489.84765625,55.6
1727651770,489.84765625,49.5
1727651770,489.84765625,55.6
1727651772,489.84765625,49.9
1727651772,489.84765625,47.5
1727651772,489.84765625,51.3
1727651772,489.84765625,39.4
1727651774,492.33984375,49.9
1727651774,492.33984375,48.8
1727651774,492.33984375,50.8
1727651774,492.33984375,37.5
1727651776,492.33984375,49.9
1727651776,492.33984375,53.2
1727651776,492.33984375,48.9
1727651776,492.33984375,57.8
1727651778,492.4375,49.8
1727651778,492.4375,54.3
1727651778,492.4375,49.7
1727651778,492.4375,39.4
1727651780,492.4375,49.8
1727651780,492.4375,54.3
1727651780,492.4375,49.5
1727651780,492.4375,55.6
1727651783,494.24609375,49.9
1727651783,494.24609375,36.4
1727651783,494.24609375,51.8
1727651783,494.24609375,37.5
1727651785,494.24609375,49.9
1727651785,494.24609375,36.4
1727651785,494.24609375,52.0
1727651785,494.24609375,40.6
1727651787,494.24609375,49.8
1727651787,494.24609375,56.3
1727651787,494.24609375,48.9
1727651787,494.24609375,55.6
1727651789,494.24609375,49.9
1727651789,494.24609375,55.3
1727651789,494.24609375,48.4
1727651789,494.24609375,56.3
1727651791,494.24609375,49.9
1727651791,494.24609375,56.2
1727651791,494.24609375,49.2
1727651791,494.24609375,40.0
1727651793,494.2890625,49.9
1727651793,494.2890625,36.4
1727651793,494.2890625,51.5
1727651793,494.2890625,38.7
1727651795,494.2890625,49.9
1727651795,494.2890625,38.2
1727651795,494.2890625,52.6
1727651795,494.2890625,39.4
1727651797,494.2890625,49.8
1727651797,494.2890625,52.1
1727651797,494.2890625,49.5
1727651797,494.2890625,48.7
1727651800,494.2890625,49.8
1727651800,494.2890625,38.2
1727651800,494.2890625,52.8
1727651800,494.2890625,38.7
1727651802,494.2890625,49.8
1727651802,494.2890625,55.3
1727651802,494.2890625,49.7
1727651802,494.2890625,38.7
1727651804,494.2890625,49.9
1727651804,494.2890625,37.1
1727651804,494.2890625,52.8
1727651804,494.2890625,37.5
1727651806,494.2890625,49.9
1727651806,494.2890625,51.2
1727651806,494.2890625,50.8
1727651806,494.2890625,45.7
1727651808,494.2890625,49.9
1727651808,494.2890625,52.1
1727651808,494.2890625,48.4
1727651808,494.2890625,51.2
1727651810,494.2890625,49.9
1727651810,494.2890625,36.4
1727651810,494.2890625,51.8
1727651810,494.2890625,41.2
1727651813,494.2890625,49.9
1727651813,494.2890625,35.3
1727651813,494.2890625,52.1
1727651813,494.2890625,42.4
1727651815,494.4140625,49.8
1727651815,494.4140625,56.3
1727651815,494.4140625,49.4
1727651815,494.4140625,56.8
1727651817,494.4140625,49.8
1727651817,494.4140625,38.2
1727651817,494.4140625,51.3
1727651817,494.4140625,45.9
1727651819,494.4140625,49.8
1727651819,494.4140625,56.5
1727651819,494.4140625,49.7
1727651819,494.4140625,38.7
1727651821,494.4140625,49.9
1727651821,494.4140625,54.3
1727651821,494.4140625,48.8
1727651821,494.4140625,51.2
1727651962,534.1171875,50.2
1727651962,534.1171875,38.2
1727651962,534.1171875,50.2
1727651962,534.1171875,56.8
1727651963,534.1171875,49.8
1727651963,534.1171875,54.3
1727651963,534.1171875,47.3
1727651963,534.1171875,57.4
1727651965,534.1171875,49.8
1727651965,534.1171875,56.5
1727651965,534.1171875,50.5
1727651965,534.1171875,42.4
1727651967,534.1171875,49.8
1727651967,534.1171875,55.3
1727651967,534.1171875,50.2
1727651967,534.1171875,53.1
1727651968,534.1171875,49.8
1727651968,534.1171875,51.0
1727651968,534.1171875,50.0
1727651968,534.1171875,57.8
1727651970,534.1171875,49.8
1727651970,534.1171875,48.7
1727651970,534.1171875,51.7
1727651970,534.1171875,37.5
1727651972,534.1171875,49.8
1727651972,534.1171875,45.9
1727651972,534.1171875,50.0
1727651972,534.1171875,56.5
1727651973,534.1171875,49.8
1727651973,534.1171875,52.1
1727651973,534.1171875,47.9
1727651973,534.1171875,55.6
1727651975,534.1171875,49.8
1727651975,534.1171875,51.0
1727651975,534.1171875,51.2
1727651975,534.1171875,39.4
1727651977,534.1171875,49.8
1727651977,534.1171875,55.6
1727651977,534.1171875,51.0
1727651977,534.1171875,41.9
1727651978,534.1171875,49.8
1727651978,534.1171875,50.0
1727651978,534.1171875,49.8
1727651978,534.1171875,55.6
1727651980,534.1171875,49.8
1727651980,534.1171875,56.5
1727651980,534.1171875,47.1
1727651980,534.1171875,55.6
1727651982,534.1171875,49.8
1727651982,534.1171875,36.4
1727651982,534.1171875,50.7
1727651982,534.1171875,56.5
1727651984,534.1171875,49.8
1727651984,534.1171875,55.3
1727651984,534.1171875,51.0
1727651984,534.1171875,39.4
1727651985,534.1171875,49.8
1727651985,534.1171875,51.1
1727651985,534.1171875,50.0
1727651985,534.1171875,39.4
1727651987,534.1171875,49.8
1727651987,534.1171875,54.3
1727651987,534.1171875,51.2
1727651987,534.1171875,39.4
1727651989,534.1171875,49.8
1727651989,534.1171875,56.2
1727651989,534.1171875,50.0
1727651989,534.1171875,55.8
1727651990,534.1171875,49.8
1727651990,534.1171875,56.5
1727651990,534.1171875,51.3
1727651990,534.1171875,40.6
1727651992,534.1171875,49.8
1727651992,534.1171875,46.3
1727651992,534.1171875,51.6
1727651992,534.1171875,37.5
1727651994,534.1171875,49.8
1727651994,534.1171875,54.3
1727651994,534.1171875,48.4
1727651994,534.1171875,53.2
1727651995,534.1171875,49.8
1727651995,534.1171875,51.0
1727651995,534.1171875,51.3
1727651995,534.1171875,42.4
1727651997,534.1171875,49.8
1727651997,534.1171875,35.3
1727651997,534.1171875,51.0
1727651997,534.1171875,53.1
1727651999,534.1171875,49.8
1727651999,534.1171875,54.3
1727651999,534.1171875,48.6
1727651999,534.1171875,55.6
1727652001,534.1171875,49.8
1727652001,534.1171875,55.3
1727652001,534.1171875,49.5
1727652001,534.1171875,47.4
1727652003,534.1171875,49.8
1727652003,534.1171875,48.1
1727652003,534.1171875,51.5
1727652003,534.1171875,40.6
1727652004,534.1171875,49.8
1727652004,534.1171875,35.3
1727652004,534.1171875,51.0
1727652004,534.1171875,56.8
1727652006,534.1171875,49.8
1727652006,534.1171875,38.2
1727652006,534.1171875,52.0
1727652006,534.1171875,35.3
1727652008,534.1171875,49.8
1727652008,534.1171875,54.2
1727652008,534.1171875,50.8
1727652008,534.1171875,42.9
1727652009,534.1171875,49.8
1727652009,534.1171875,38.2
1727652009,534.1171875,51.8
1727652009,534.1171875,41.9
1727652011,534.1171875,49.8
1727652011,534.1171875,37.1
1727652011,534.1171875,51.8
1727652011,534.1171875,39.4
1727652013,534.1171875,49.8
1727652013,534.1171875,56.5
1727652013,534.1171875,50.8
1727652013,534.1171875,44.7
1727652014,534.1171875,49.8
1727652014,534.1171875,55.3
1727652014,534.1171875,47.1
1727652014,534.1171875,58.7
1727652016,534.1171875,49.8
1727652016,534.1171875,55.3
1727652016,534.1171875,50.0
1727652016,534.1171875,38.7
1727652018,534.1171875,49.8
1727652018,534.1171875,52.3
1727652018,534.1171875,48.9
1727652018,534.1171875,55.6
1727652019,534.1171875,49.8
1727652019,534.1171875,55.3
1727652019,534.1171875,49.5
1727652019,534.1171875,55.6
1727652021,534.1171875,49.8
1727652021,534.1171875,53.3
1727652021,534.1171875,50.8
1727652021,534.1171875,39.4
1727652023,534.1171875,49.8
1727652023,534.1171875,53.2
1727652023,534.1171875,49.8
1727652023,534.1171875,56.5
1727652024,534.1171875,49.8
1727652024,534.1171875,36.4
1727652024,534.1171875,51.5
1727652024,534.1171875,45.9
1727652026,534.1171875,49.8
1727652026,534.1171875,53.3
1727652026,534.1171875,48.7
1727652026,534.1171875,56.5
1727652028,534.1171875,49.8
1727652028,534.1171875,52.1
1727652028,534.1171875,48.1
1727652028,534.1171875,55.6
1727652029,534.1171875,49.8
1727652029,534.1171875,36.4
1727652030,534.1171875,50.7
1727652030,534.1171875,51.2
1727652031,534.1171875,49.8
1727652031,534.1171875,54.3
1727652031,534.1171875,51.1
1727652031,534.1171875,38.2
1727652033,534.1171875,49.8
1727652033,534.1171875,56.5
1727652033,534.1171875,49.5
1727652033,534.1171875,54.3
1727652035,534.1171875,49.8
1727652035,534.1171875,54.2
1727652035,534.1171875,50.0
1727652035,534.1171875,53.5
1727652036,534.1171875,49.8
1727652036,534.1171875,53.2
1727652036,534.1171875,50.7
1727652036,534.1171875,39.4
1727652038,534.1171875,49.8
1727652038,534.1171875,39.4
1727652038,534.1171875,51.2
1727652038,534.1171875,56.5
1727652040,534.1171875,49.8
1727652040,534.1171875,47.5
1727652040,534.1171875,49.5
1727652040,534.1171875,57.8
1727652041,534.1171875,49.8
1727652041,534.1171875,53.2
1727652041,534.1171875,50.5
1727652041,534.1171875,39.4
1727652043,534.1171875,49.8
1727652043,534.1171875,38.5
1727652043,534.1171875,51.0
1727652043,534.1171875,54.3
1727652045,534.1171875,49.8
1727652045,534.1171875,46.3
1727652045,534.1171875,49.2
1727652045,534.1171875,57.8
1727652046,534.1171875,49.8
1727652046,534.1171875,54.3
1727652046,534.1171875,49.2
1727652046,534.1171875,53.7
1727652048,534.1171875,49.8
1727652048,534.1171875,54.3
1727652048,534.1171875,51.2
1727652048,534.1171875,40.6
1727652050,534.1171875,49.8
1727652050,534.1171875,54.3
1727652050,534.1171875,48.6
1727652050,534.1171875,56.5
1727652051,534.1171875,49.8
1727652051,534.1171875,54.3
1727652051,534.1171875,51.8
1727652051,534.1171875,39.4
1727652053,534.1171875,49.8
1727652053,534.1171875,53.5
1727652053,534.1171875,49.2
1727652053,534.1171875,54.8
1727652055,534.1171875,49.8
1727652055,534.1171875,53.2
1727652055,534.1171875,51.7
1727652055,534.1171875,37.5
1727652056,534.1171875,49.8
1727652056,534.1171875,52.1
1727652056,534.1171875,48.8
1727652056,534.1171875,55.3
1727652058,534.1171875,49.8
1727652058,534.1171875,38.2
1727652058,534.1171875,50.8
1727652058,534.1171875,54.2
1727652060,534.1171875,49.8
1727652060,534.1171875,39.4
1727652060,534.1171875,50.0
1727652060,534.1171875,58.7
1727652062,534.1171875,49.8
1727652062,534.1171875,54.2
1727652062,534.1171875,49.5
1727652062,534.1171875,39.4
1727652063,534.1171875,49.8
1727652063,534.1171875,38.2
1727652063,534.1171875,49.3
1727652063,534.1171875,55.6
1727652065,534.1171875,49.8
1727652065,534.1171875,38.9
1727652065,534.1171875,51.0
1727652065,534.1171875,40.0
1727652067,534.1171875,49.8
1727652067,534.1171875,48.8
1727652067,534.1171875,50.0
1727652067,534.1171875,45.9
1727652068,534.1171875,49.8
1727652068,534.1171875,53.2
1727652068,534.1171875,47.9
1727652068,534.1171875,56.5
1727652070,534.1171875,49.8
1727652070,534.1171875,44.7
1727652070,534.1171875,49.8
1727652070,534.1171875,58.3
1727652072,534.1171875,49.8
1727652072,534.1171875,54.3
1727652072,534.1171875,48.7
1727652072,534.1171875,52.4
1727652073,534.1171875,49.8
1727652073,534.1171875,54.3
1727652073,534.1171875,47.6
1727652073,534.1171875,56.3
1727652075,534.1171875,49.8
1727652075,534.1171875,36.4
1727652075,534.1171875,51.2
1727652075,534.1171875,44.1
1727652077,534.1171875,49.8
1727652077,534.1171875,57.4
1727652077,534.1171875,51.0
1727652077,534.1171875,38.7
1727652078,534.1171875,49.8
1727652078,534.1171875,54.3
1727652078,534.1171875,51.0
1727652078,534.1171875,39.4
1727652080,534.1171875,49.8
1727652080,534.1171875,46.3
1727652080,534.1171875,51.5
1727652080,534.1171875,37.5
1727652082,534.1171875,49.8
1727652082,534.1171875,50.0
1727652082,534.1171875,50.0
1727652082,534.1171875,45.9
1727652083,534.1171875,49.8
1727652083,534.1171875,55.3
1727652083,534.1171875,47.9
1727652083,534.1171875,57.8
1727652085,534.1171875,49.8
1727652085,534.1171875,54.3
1727652085,534.1171875,47.6
1727652085,534.1171875,57.8
1727652087,534.1171875,49.8
1727652087,534.1171875,38.2
1727652087,534.1171875,50.7
1727652087,534.1171875,52.5
1727652088,534.1171875,49.8
1727652088,534.1171875,56.5
1727652088,534.1171875,50.7
1727652088,534.1171875,37.5
1727652090,534.1171875,49.8
1727652090,534.1171875,54.3
1727652090,534.1171875,50.7
1727652090,534.1171875,41.2
1727652092,534.1171875,49.8
1727652092,534.1171875,55.6
1727652092,534.1171875,48.7
1727652092,534.1171875,54.8
1727652094,534.1171875,49.8
1727652094,534.1171875,37.5
1727652094,534.1171875,52.7
1727652094,534.1171875,39.4
1727652096,534.1171875,49.8
1727652096,534.1171875,51.0
1727652096,534.1171875,50.5
1727652096,534.1171875,41.2
1727652097,534.1171875,49.8
1727652097,534.1171875,36.4
1727652097,534.1171875,51.2
1727652097,534.1171875,47.2
1727652099,534.1171875,49.8
1727652099,534.1171875,47.6
1727652099,534.1171875,50.7
1727652099,534.1171875,55.1
1727652101,534.1171875,49.8
1727652101,534.1171875,53.2
1727652101,534.1171875,51.0
1727652101,534.1171875,38.2
1727652102,534.1171875,49.8
1727652102,534.1171875,46.2
1727652102,534.1171875,50.5
1727652102,534.1171875,56.5
1727652104,534.1171875,49.8
1727652104,534.1171875,55.6
1727652104,534.1171875,50.7
1727652104,534.1171875,39.4
1727652106,534.1171875,49.8
1727652106,534.1171875,35.3
1727652106,534.1171875,50.0
1727652106,534.1171875,57.8
1727652107,534.1171875,49.8
1727652107,534.1171875,54.2
1727652107,534.1171875,50.5
1727652107,534.1171875,37.5
1727652109,534.1171875,49.8
1727652109,534.1171875,53.2
1727652109,534.1171875,47.9
1727652109,534.1171875,55.6
1727652111,534.1171875,49.8
1727652111,534.1171875,37.1
1727652111,534.1171875,51.0
1727652111,534.1171875,56.5
1727652113,534.1171875,49.8
1727652113,534.1171875,36.4
1727652113,534.1171875,50.5
1727652113,534.1171875,56.5
1727652114,534.1171875,49.8
1727652114,534.1171875,53.2
1727652114,534.1171875,50.0
1727652114,534.1171875,40.6
1727652116,534.1171875,49.8
1727652116,534.1171875,51.1
1727652116,534.1171875,49.8
1727652116,534.1171875,56.5
1727652118,534.1171875,49.8
1727652118,534.1171875,52.0
1727652118,534.1171875,50.5
1727652118,534.1171875,55.6
1727652119,534.1171875,49.8
1727652119,534.1171875,54.2
1727652119,534.1171875,50.2
1727652119,534.1171875,40.6
1727652121,534.1171875,49.8
1727652121,534.1171875,46.7
1727652121,534.1171875,51.8
1727652121,534.1171875,39.4
1727652123,534.1171875,49.8
1727652123,534.1171875,38.2
1727652123,534.1171875,50.7
1727652123,534.1171875,50.0
1727652125,534.1171875,49.8
1727652125,534.1171875,56.5
1727652125,534.1171875,47.3
1727652125,534.1171875,56.5
1727652126,534.1171875,49.8
1727652126,534.1171875,53.2
1727652126,534.1171875,50.7
1727652126,534.1171875,39.4
1727652128,534.1171875,49.8
1727652128,534.1171875,55.6
1727652128,534.1171875,49.5
1727652128,534.1171875,56.8
1727652130,534.1171875,49.8
1727652130,534.1171875,56.3
1727652130,534.1171875,51.0
1727652130,534.1171875,39.4
1727652131,534.1171875,49.8
1727652131,534.1171875,37.1
1727652131,534.1171875,50.0
1727652131,534.1171875,55.6
1727652133,534.1171875,49.8
1727652133,534.1171875,55.3
1727652133,534.1171875,51.0
1727652133,534.1171875,41.2
1727652135,534.1171875,49.8
1727652135,534.1171875,56.5
1727652135,534.1171875,47.6
1727652135,534.1171875,55.6
1727652136,534.1171875,49.8
1727652136,534.1171875,53.2
1727652136,534.1171875,51.2
1727652136,534.1171875,39.4
1727652138,534.1171875,49.8
1727652138,534.1171875,39.4
1727652138,534.1171875,51.0
1727652138,534.1171875,39.4
1727652140,534.1171875,49.8
1727652140,534.1171875,54.3
1727652140,534.1171875,51.0
1727652140,534.1171875,37.5
1727652142,534.1171875,49.8
1727652142,534.1171875,38.2
1727652142,534.1171875,50.2
1727652142,534.1171875,55.6
1727652143,534.1171875,49.8
1727652143,534.1171875,54.3
1727652143,534.1171875,51.0
1727652143,534.1171875,40.6
1727652145,534.1171875,49.8
1727652145,534.1171875,54.2
1727652145,534.1171875,49.2
1727652145,534.1171875,51.3
1727652147,534.1171875,49.8
1727652147,534.1171875,55.3
1727652147,534.1171875,49.0
1727652147,534.1171875,48.6
1727652148,534.1171875,49.8
1727652148,534.1171875,41.2
1727652148,534.1171875,50.5
1727652148,534.1171875,56.5
1727652150,534.1171875,49.8
1727652150,534.1171875,52.1
1727652150,534.1171875,51.3
1727652150,534.1171875,39.4
1727652152,534.1171875,49.8
1727652152,534.1171875,51.2
1727652152,534.1171875,48.2
1727652152,534.1171875,56.5
1727652153,534.1171875,49.8
1727652153,534.1171875,35.3
1727652153,534.1171875,51.8
1727652153,534.1171875,40.0
1727652155,534.1171875,49.8
1727652155,534.1171875,54.3
1727652155,534.1171875,49.1
1727652155,534.1171875,51.2
1727652157,534.1171875,49.8
1727652157,534.1171875,55.6
1727652157,534.1171875,50.5
1727652157,534.1171875,55.6
1727652159,534.1171875,49.8
1727652159,534.1171875,43.6
1727652159,534.1171875,50.3
1727652159,534.1171875,56.8
1727652160,534.1171875,49.8
1727652160,534.1171875,53.3
1727652160,534.1171875,51.0
1727652160,534.1171875,53.2
1727652162,534.1171875,49.8
1727652162,534.1171875,38.9
1727652162,534.1171875,49.5
1727652162,534.1171875,55.6
1727652164,534.1171875,49.8
1727652164,534.1171875,40.0
1727652164,534.1171875,49.8
1727652164,534.1171875,55.6
1727652165,534.1171875,49.8
1727652165,534.1171875,54.3
1727652165,534.1171875,48.1
1727652165,534.1171875,55.6
1727652167,534.1171875,49.8
1727652167,534.1171875,52.0
1727652167,534.1171875,49.9
1727652167,534.1171875,38.7
1727652169,534.1171875,49.8
1727652169,534.1171875,47.9
1727652169,534.1171875,47.9
1727652169,534.1171875,52.2
1727652170,534.1171875,49.8
1727652170,534.1171875,55.3
1727652170,534.1171875,49.8
1727652170,534.1171875,38.2
1727652172,534.1171875,49.8
1727652172,534.1171875,54.3
1727652172,534.1171875,49.0
1727652172,534.1171875,56.5
1727652174,534.1171875,49.8
1727652174,534.1171875,54.2
1727652174,534.1171875,48.2
1727652174,534.1171875,48.8
1727652176,534.1171875,49.8
1727652176,534.1171875,55.1
1727652176,534.1171875,50.2
1727652176,534.1171875,39.4
1727652177,534.1171875,49.8
1727652177,534.1171875,54.3
1727652177,534.1171875,50.0
1727652177,534.1171875,45.7
1727652179,534.1171875,49.8
1727652179,534.1171875,36.4
1727652179,534.1171875,51.2
1727652179,534.1171875,56.3
1727652181,534.1171875,49.8
1727652181,534.1171875,56.3
1727652181,534.1171875,49.5
1727652181,534.1171875,56.5
1727652182,534.1171875,49.8
1727652182,534.1171875,36.1
1727652182,534.1171875,51.5
1727652182,534.1171875,47.4
1727652184,534.1171875,49.8
1727652184,534.1171875,55.3
1727652184,534.1171875,49.3
1727652184,534.1171875,56.5
1727652186,534.1171875,49.8
1727652186,534.1171875,55.3
1727652186,534.1171875,48.0
1727652186,534.1171875,51.2
1727652187,534.1171875,49.8
1727652187,534.1171875,36.4
1727652187,534.1171875,51.0
1727652187,534.1171875,51.2
1727652189,534.1171875,49.8
1727652189,534.1171875,50.7
1727652189,534.1171875,49.8
1727652189,534.1171875,40.6
1727652191,534.1171875,49.8
1727652191,534.1171875,52.1
1727652191,534.1171875,50.7
1727652191,534.1171875,38.7
1727652193,534.1171875,49.8
1727652193,534.1171875,52.2
1727652193,534.1171875,50.2
1727652193,534.1171875,39.4
1727652194,534.1171875,49.8
1727652194,534.1171875,54.2
1727652194,534.1171875,50.7
1727652194,534.1171875,39.4
1727652196,534.1171875,49.8
1727652196,534.1171875,54.3
1727652196,534.1171875,51.0
1727652196,534.1171875,40.6
1727652198,534.1171875,49.8
1727652198,534.1171875,54.3
1727652198,534.1171875,50.5
1727652198,534.1171875,38.2
1727652199,534.1171875,49.8
1727652199,534.1171875,56.0
1727652199,534.1171875,48.1
1727652199,534.1171875,55.6
1727652201,534.1171875,49.8
1727652201,534.1171875,38.2
1727652201,534.1171875,51.2
1727652201,534.1171875,55.3
1727652203,534.1171875,49.8
1727652203,534.1171875,35.3
1727652203,534.1171875,51.3
1727652203,534.1171875,42.4
1727652204,534.1171875,49.8
1727652204,534.1171875,47.6
1727652204,534.1171875,49.8
1727652204,534.1171875,57.8
1727652206,534.1171875,49.8
1727652206,534.1171875,55.3
1727652206,534.1171875,47.6
1727652206,534.1171875,56.8
1727652208,534.1171875,49.8
1727652208,534.1171875,36.4
1727652208,534.1171875,50.2
1727652208,534.1171875,56.8
1727652209,534.1171875,49.8
1727652209,534.1171875,53.2
1727652209,534.1171875,50.0
1727652209,534.1171875,56.5
1727652211,534.1171875,49.8
1727652211,534.1171875,56.2
1727652211,534.1171875,48.1
1727652211,534.1171875,55.6
1727652213,534.1171875,49.8
1727652213,534.1171875,57.4
1727652213,534.1171875,46.8
1727652213,534.1171875,56.5
1727652214,534.1171875,49.8
1727652214,534.1171875,37.1
1727652214,534.1171875,50.7
1727652214,534.1171875,56.8
1727652216,534.1171875,49.8
1727652216,534.1171875,54.3
1727652216,534.1171875,50.5
1727652216,534.1171875,39.4
1727652218,534.1171875,49.8
1727652218,534.1171875,37.5
1727652218,534.1171875,51.5
1727652218,534.1171875,56.5
1727652219,534.1171875,49.8
1727652219,534.1171875,55.6
1727652219,534.1171875,49.5
1727652219,534.1171875,40.6
1727652221,534.1171875,49.8
1727652221,534.1171875,56.3
1727652221,534.1171875,48.7
1727652221,534.1171875,54.8
1727652223,534.1171875,49.8
1727652223,534.1171875,53.2
1727652223,534.1171875,49.8
1727652223,534.1171875,56.8
1727652224,534.1171875,49.8
1727652224,534.1171875,39.4
1727652224,534.1171875,49.5
1727652224,534.1171875,54.2
1727652226,534.1171875,49.8
1727652226,534.1171875,38.2
1727652226,534.1171875,50.5
1727652226,534.1171875,57.8
1727652228,534.1171875,49.8
1727652228,534.1171875,55.3
1727652228,534.1171875,51.0
1727652228,534.1171875,42.4
1727652229,534.1171875,49.8
1727652229,534.1171875,38.2
1727652229,534.1171875,49.3
1727652229,534.1171875,57.8
1727652231,534.1171875,49.8
1727652231,534.1171875,42.9
1727652231,534.1171875,51.0
1727652231,534.1171875,38.2
1727652233,534.1171875,49.8
1727652233,534.1171875,38.2
1727652233,534.1171875,52.0
1727652233,534.1171875,51.2
1727652234,534.1171875,49.8
1727652234,534.1171875,50.0
1727652234,534.1171875,49.2
1727652234,534.1171875,56.5
1727652236,534.1171875,49.8
1727652236,534.1171875,51.0
1727652236,534.1171875,50.2
1727652236,534.1171875,56.5
1727652238,534.1171875,49.8
1727652238,534.1171875,38.2
1727652238,534.1171875,52.0
1727652238,534.1171875,38.7
1727652239,534.1171875,49.8
1727652239,534.1171875,53.2
1727652239,534.1171875,51.0
1727652239,534.1171875,40.6
1727652241,534.1171875,49.8
1727652241,534.1171875,54.3
1727652241,534.1171875,50.0
1727652241,534.1171875,38.2
1727652243,534.1171875,49.8
1727652243,534.1171875,55.3
1727652243,534.1171875,51.0
1727652243,534.1171875,38.7
1727652244,534.1171875,49.8
1727652244,534.1171875,38.2
1727652244,534.1171875,49.8
1727652244,534.1171875,55.6
1727652246,534.1171875,49.8
1727652246,534.1171875,44.7
1727652246,534.1171875,49.7
1727652246,534.1171875,57.8
1727652248,534.1171875,49.8
1727652248,534.1171875,55.6
1727652248,534.1171875,49.8
1727652248,534.1171875,40.6
1727652250,534.1171875,49.8
1727652250,534.1171875,38.2
1727652250,534.1171875,52.3
1727652250,534.1171875,37.5
1727652251,534.1171875,49.8
1727652251,534.1171875,54.3
1727652251,534.1171875,48.4
1727652251,534.1171875,55.6
1727652253,534.1171875,49.8
1727652253,534.1171875,48.8
1727652253,534.1171875,49.7
1727652253,534.1171875,56.8
1727652255,534.1171875,49.8
1727652255,534.1171875,38.2
1727652255,534.1171875,52.0
1727652255,534.1171875,38.7
1727652256,534.1171875,49.8
1727652256,534.1171875,55.3
1727652256,534.1171875,47.3
1727652256,534.1171875,57.8
1727652258,534.1171875,49.8
1727652258,534.1171875,55.6
1727652258,534.1171875,50.7
1727652258,534.1171875,37.5
1727652260,534.1171875,49.8
1727652260,534.1171875,51.0
1727652260,534.1171875,51.5
1727652260,534.1171875,38.7
1727652261,534.1171875,49.8
1727652261,534.1171875,37.1
1727652261,534.1171875,51.5
1727652261,534.1171875,55.6
1727652263,534.1171875,49.8
1727652263,534.1171875,55.3
1727652263,534.1171875,51.3
1727652263,534.1171875,39.4
1727652265,534.1171875,49.8
1727652265,534.1171875,54.2
1727652265,534.1171875,51.0
1727652265,534.1171875,39.4
1727652266,534.1171875,49.8
1727652266,534.1171875,39.4
1727652266,534.1171875,51.3
1727652266,534.1171875,41.2
1727652268,534.1171875,49.8
1727652268,534.1171875,54.3
1727652268,534.1171875,51.5
1727652268,534.1171875,48.1
1727652270,534.1171875,49.8
1727652270,534.1171875,54.3
1727652270,534.1171875,50.7
1727652270,534.1171875,38.7
1727652271,534.1171875,49.8
1727652271,534.1171875,54.3
1727652271,534.1171875,50.5
1727652271,534.1171875,40.6
1727652273,534.1171875,49.8
1727652273,534.1171875,56.5
1727652273,534.1171875,50.0
1727652273,534.1171875,37.5
1727652275,534.1171875,49.8
1727652275,534.1171875,54.3
1727652275,534.1171875,50.0
1727652275,534.1171875,37.5
1727652277,534.1171875,49.8
1727652277,534.1171875,38.2
1727652277,534.1171875,50.0
1727652277,534.1171875,56.5
1727652278,534.1171875,49.8
1727652278,534.1171875,38.2
1727652278,534.1171875,51.8
1727652278,534.1171875,42.4
1727652280,534.1171875,49.8
1727652280,534.1171875,54.9
1727652280,534.1171875,50.0
1727652280,534.1171875,56.5
1727652282,534.1171875,49.8
1727652282,534.1171875,41.2
1727652282,534.1171875,49.0
1727652282,534.1171875,55.6
1727652283,534.1171875,49.8
1727652283,534.1171875,48.8
1727652283,534.1171875,49.2
1727652283,534.1171875,56.8
1727652285,534.1171875,49.8
1727652285,534.1171875,53.2
1727652285,534.1171875,47.9
1727652285,534.1171875,56.8
1727652287,534.1171875,49.8
1727652287,534.1171875,37.1
1727652287,534.1171875,50.5
1727652287,534.1171875,54.3
1727652288,534.1171875,49.8
1727652288,534.1171875,46.5
1727652288,534.1171875,48.7
1727652288,534.1171875,55.6
1727652290,534.1171875,49.8
1727652290,534.1171875,54.3
1727652290,534.1171875,51.0
1727652290,534.1171875,40.6
1727652292,534.1171875,49.8
1727652292,534.1171875,56.5
1727652292,534.1171875,48.3
1727652292,534.1171875,57.4
1727652294,534.1171875,49.8
1727652294,534.1171875,54.3
1727652294,534.1171875,49.3
1727652294,534.1171875,53.3
1727652295,534.1171875,49.8
1727652295,534.1171875,55.3
1727652295,534.1171875,47.8
1727652295,534.1171875,56.5
1727652297,534.1171875,49.8
1727652297,534.1171875,53.4
1727652297,534.1171875,49.5
1727652297,534.1171875,47.4
1727652299,534.1171875,49.8
1727652299,534.1171875,43.2
1727652299,534.1171875,51.6
1727652299,534.1171875,37.5
1727652300,534.1171875,49.8
1727652300,534.1171875,55.3
1727652300,534.1171875,49.0
1727652300,534.1171875,50.0
1727652302,534.1171875,49.8
1727652302,534.1171875,55.1
1727652302,534.1171875,50.2
1727652302,534.1171875,37.5
1727652304,534.1171875,49.8
1727652304,534.1171875,55.3
1727652304,534.1171875,50.5
1727652304,534.1171875,40.6
1727652305,534.1171875,49.8
1727652305,534.1171875,53.2
1727652305,534.1171875,49.5
1727652305,534.1171875,44.7
1727652307,534.1171875,49.8
1727652307,534.1171875,38.2
1727652307,534.1171875,52.0
1727652307,534.1171875,39.4
1727652309,534.1171875,49.8
1727652309,534.1171875,45.0
1727652309,534.1171875,50.5
1727652309,534.1171875,57.4
1727652310,534.1171875,49.8
1727652310,534.1171875,50.0
1727652311,534.1171875,48.2
1727652311,534.1171875,56.5
1727652312,534.1171875,49.8
1727652312,534.1171875,54.2
1727652312,534.1171875,50.2
1727652312,534.1171875,36.4
1727652314,534.1171875,49.8
1727652314,534.1171875,54.3
1727652314,534.1171875,51.0
1727652314,534.1171875,40.6
1727652316,534.1171875,49.8
1727652316,534.1171875,40.0
1727652316,534.1171875,49.5
1727652316,534.1171875,54.3
1727652317,534.1171875,49.8
1727652317,534.1171875,56.3
1727652317,534.1171875,48.1
1727652317,534.1171875,55.6
1727652319,534.1171875,49.8
1727652319,534.1171875,51.1
1727652319,534.1171875,48.2
1727652319,534.1171875,54.3
1727652321,534.1171875,49.8
1727652321,534.1171875,54.2
1727652321,534.1171875,50.0
1727652321,534.1171875,42.4
1727652322,534.1171875,49.8
1727652322,534.1171875,38.2
1727652322,534.1171875,50.7
1727652322,534.1171875,45.7
1727652324,534.1171875,49.8
1727652324,534.1171875,39.4
1727652324,534.1171875,51.5
1727652324,534.1171875,40.6
1727652326,534.1171875,49.8
1727652326,534.1171875,35.1
1727652326,534.1171875,51.2
1727652326,534.1171875,56.5
1727652327,534.1171875,49.8
1727652327,534.1171875,53.2
1727652327,534.1171875,51.0
1727652327,534.1171875,38.7
1727652329,534.1171875,49.8
1727652329,534.1171875,39.4
1727652329,534.1171875,51.0
1727652329,534.1171875,41.2
1727652331,534.1171875,49.8
1727652331,534.1171875,38.2
1727652331,534.1171875,51.5
1727652331,534.1171875,40.6
1727652332,534.1171875,49.8
1727652332,534.1171875,47.4
1727652332,534.1171875,51.2
1727652332,534.1171875,40.6
1727652334,534.1171875,49.8
1727652334,534.1171875,38.2
1727652334,534.1171875,51.3
1727652334,534.1171875,39.4
1727652336,534.1171875,49.8
1727652336,534.1171875,39.4
1727652336,534.1171875,51.2
1727652336,534.1171875,51.2
1727652337,534.1171875,49.8
1727652337,534.1171875,39.4
1727652337,534.1171875,50.7
1727652337,534.1171875,56.5
1727652339,534.1171875,49.8
1727652339,534.1171875,53.2
1727652339,534.1171875,51.0
1727652339,534.1171875,38.7
1727652341,534.1171875,49.8
1727652341,534.1171875,44.7
1727652341,534.1171875,51.3
1727652341,534.1171875,36.4
1727652342,534.1171875,49.8
1727652342,534.1171875,35.3
1727652342,534.1171875,49.8
1727652342,534.1171875,57.8
1727652344,534.1171875,49.8
1727652344,534.1171875,39.4
1727652344,534.1171875,50.7
1727652344,534.1171875,53.5
1727652346,534.1171875,49.8
1727652346,534.1171875,37.1
1727652346,534.1171875,51.8
1727652346,534.1171875,38.2
1727652348,534.1171875,49.8
1727652348,534.1171875,38.2
1727652348,534.1171875,50.0
1727652348,534.1171875,54.3
1727652349,534.1171875,49.8
1727652349,534.1171875,54.3
1727652349,534.1171875,50.2
1727652349,534.1171875,39.4
1727652351,534.1171875,49.8
1727652351,534.1171875,35.3
1727652351,534.1171875,51.0
1727652351,534.1171875,56.5
1727652353,534.1171875,49.8
1727652353,534.1171875,53.2
1727652353,534.1171875,49.8
1727652353,534.1171875,53.3
1727652354,534.1171875,49.8
1727652354,534.1171875,55.1
1727652354,534.1171875,50.2
1727652354,534.1171875,38.2
1727652356,534.1171875,49.8
1727652356,534.1171875,55.3
1727652356,534.1171875,50.2
1727652356,534.1171875,37.5
1727652358,534.1171875,49.8
1727652358,534.1171875,54.3
1727652358,534.1171875,50.8
1727652358,534.1171875,44.1
1727652359,534.1171875,49.8
1727652359,534.1171875,53.3
1727652359,534.1171875,48.2
1727652359,534.1171875,55.6
1727652361,534.1171875,49.8
1727652361,534.1171875,54.3
1727652361,534.1171875,50.7
1727652361,534.1171875,39.4
1727652363,534.1171875,49.8
1727652363,534.1171875,48.9
1727652363,534.1171875,51.5
1727652363,534.1171875,42.9
1727652365,534.1171875,49.8
1727652365,534.1171875,51.9
1727652365,534.1171875,50.0
1727652365,534.1171875,56.2
1727652366,534.1171875,49.8
1727652366,534.1171875,47.4
1727652366,534.1171875,50.7
1727652366,534.1171875,51.2
1727652368,534.1171875,49.8
1727652368,534.1171875,48.8
1727652368,534.1171875,49.3
1727652368,534.1171875,53.7
1727652370,534.1171875,49.8
1727652370,534.1171875,55.6
1727652370,534.1171875,49.8
1727652370,534.1171875,40.6
1727652371,534.1171875,49.8
1727652371,534.1171875,53.2
1727652371,534.1171875,48.2
1727652371,534.1171875,54.5
1727652373,534.1171875,49.8
1727652373,534.1171875,47.6
1727652373,534.1171875,49.7
1727652373,534.1171875,56.5
1727652375,534.1171875,49.8
1727652375,534.1171875,52.1
1727652375,534.1171875,50.2
1727652375,534.1171875,53.1
1727652376,534.1171875,49.8
1727652376,534.1171875,47.5
1727652376,534.1171875,50.9
1727652376,534.1171875,38.2
1727652378,534.1171875,49.8
1727652378,534.1171875,36.4
1727652378,534.1171875,50.5
1727652378,534.1171875,55.3
1727652380,534.1171875,49.8
1727652380,534.1171875,53.2
1727652380,534.1171875,50.5
1727652380,534.1171875,41.2
1727652382,534.1171875,49.8
1727652382,534.1171875,35.3
1727652382,534.1171875,51.0
1727652382,534.1171875,55.6
1727652383,534.1171875,49.8
1727652383,534.1171875,44.7
1727652383,534.1171875,51.8
1727652383,534.1171875,49.4
1727652385,534.1171875,49.8
1727652385,534.1171875,53.2
1727652385,534.1171875,50.5
1727652385,534.1171875,55.6
1727652387,534.1171875,49.8
1727652387,534.1171875,54.3
1727652387,534.1171875,50.7
1727652387,534.1171875,37.5
1727652388,534.1171875,49.8
1727652388,534.1171875,54.2
1727652388,534.1171875,47.6
1727652388,534.1171875,56.5
1727652390,534.1171875,49.8
1727652390,534.1171875,40.0
1727652390,534.1171875,50.8
1727652390,534.1171875,55.1
1727652392,534.1171875,49.8
1727652392,534.1171875,56.3
1727652392,534.1171875,50.7
1727652392,534.1171875,40.6
1727652393,534.1171875,49.8
1727652393,534.1171875,55.3
1727652393,534.1171875,47.9
1727652393,534.1171875,54.2
1727652395,534.1171875,49.8
1727652395,534.1171875,47.5
1727652395,534.1171875,50.2
1727652395,534.1171875,55.3
1727652397,534.1171875,49.8
1727652397,534.1171875,53.2
1727652397,534.1171875,47.6
1727652397,534.1171875,57.4
1727652398,534.1171875,49.8
1727652398,534.1171875,37.1
1727652398,534.1171875,50.2
1727652398,534.1171875,55.3
1727652400,534.1171875,49.8
1727652400,534.1171875,37.5
1727652400,534.1171875,51.8
1727652400,534.1171875,37.5
1727652402,534.1171875,49.8
1727652402,534.1171875,53.1
1727652402,534.1171875,48.7
1727652402,534.1171875,54.5
1727652403,534.1171875,49.8
1727652403,534.1171875,38.2
1727652403,534.1171875,50.0
1727652403,534.1171875,57.8
1727652405,534.1171875,49.8
1727652405,534.1171875,50.0
1727652405,534.1171875,49.7
1727652405,534.1171875,52.5
1727652407,534.1171875,49.8
1727652407,534.1171875,46.2
1727652407,534.1171875,51.0
1727652407,534.1171875,40.6
1727652408,534.1171875,49.8
1727652408,534.1171875,54.3
1727652408,534.1171875,50.2
1727652408,534.1171875,45.9
1727652410,534.1171875,49.8
1727652410,534.1171875,38.2
1727652410,534.1171875,50.7
1727652410,534.1171875,56.5
1727652412,534.1171875,49.8
1727652412,534.1171875,37.5
1727652412,534.1171875,51.2
1727652412,534.1171875,56.5
1727652413,534.1171875,49.8
1727652413,534.1171875,55.3
1727652413,534.1171875,50.0
1727652413,534.1171875,41.2
1727652415,534.1171875,49.8
1727652415,534.1171875,54.2
1727652415,534.1171875,47.6
1727652415,534.1171875,54.4
1727652417,534.1171875,49.8
1727652417,534.1171875,36.4
1727652417,534.1171875,50.7
1727652417,534.1171875,56.8
1727652419,534.1171875,49.8
1727652419,534.1171875,40.0
1727652419,534.1171875,50.2
1727652419,534.1171875,54.3
1727652420,534.1171875,49.8
1727652420,534.1171875,52.0
1727652420,534.1171875,51.2
1727652420,534.1171875,37.5
1727652422,534.1171875,49.8
1727652422,534.1171875,52.1
1727652422,534.1171875,50.5
1727652422,534.1171875,39.4
1727652424,534.1171875,49.8
1727652424,534.1171875,36.1
1727652424,534.1171875,50.0
1727652424,534.1171875,54.3
1727652425,534.1171875,49.8
1727652425,534.1171875,53.2
1727652425,534.1171875,49.0
1727652425,534.1171875,51.2
1727652427,534.1171875,49.8
1727652427,534.1171875,53.1
1727652427,534.1171875,48.9
1727652427,534.1171875,55.6
1727652429,534.1171875,49.8
1727652429,534.1171875,55.1
1727652429,534.1171875,47.6
1727652429,534.1171875,56.5
1727652430,534.1171875,49.8
1727652430,534.1171875,53.3
1727652430,534.1171875,47.4
1727652430,534.1171875,56.5
1727652432,534.1171875,49.8
1727652432,534.1171875,45.0
1727652432,534.1171875,49.5
1727652432,534.1171875,55.3
1727652434,534.1171875,49.8
1727652434,534.1171875,54.3
1727652434,534.1171875,49.8
1727652434,534.1171875,36.4
1727652435,534.1171875,49.8
1727652435,534.1171875,38.2
1727652435,534.1171875,50.9
1727652435,534.1171875,52.6
1727652437,534.1171875,49.8
1727652437,534.1171875,53.2
1727652437,534.1171875,50.5
1727652437,534.1171875,39.4
1727652439,534.1171875,49.8
1727652439,534.1171875,53.2
1727652439,534.1171875,49.0
1727652439,534.1171875,57.4
1727652441,534.1171875,49.8
1727652441,534.1171875,54.3
1727652441,534.1171875,49.8
1727652441,534.1171875,48.7
1727652442,534.1171875,49.8
1727652442,534.1171875,37.1
1727652442,534.1171875,52.5
1727652442,534.1171875,37.5
1727652444,534.1171875,49.8
1727652444,534.1171875,38.2
1727652444,534.1171875,51.0
1727652444,534.1171875,55.6
1727652446,534.1171875,49.8
1727652446,534.1171875,45.9
1727652446,534.1171875,49.5
1727652446,534.1171875,56.8
1727652447,534.1171875,49.8
1727652447,534.1171875,53.2
1727652447,534.1171875,48.1
1727652447,534.1171875,56.8
1727652449,534.1171875,49.8
1727652449,534.1171875,38.2
1727652449,534.1171875,50.7
1727652449,534.1171875,56.5
1727652451,534.1171875,49.8
1727652451,534.1171875,53.2
1727652451,534.1171875,49.3
1727652451,534.1171875,45.9
1727652452,534.1171875,49.8
1727652452,534.1171875,53.2
1727652452,534.1171875,51.0
1727652452,534.1171875,38.2
1727652454,534.1171875,49.8
1727652454,534.1171875,54.3
1727652454,534.1171875,51.0
1727652454,534.1171875,40.6
1727652456,534.1171875,49.8
1727652456,534.1171875,54.3
1727652456,534.1171875,50.5
1727652456,534.1171875,48.6
1727652457,534.1171875,49.8
1727652457,534.1171875,56.3
1727652457,534.1171875,48.1
1727652457,534.1171875,54.3
1727652459,534.1171875,49.8
1727652459,534.1171875,38.2
1727652459,534.1171875,51.5
1727652459,534.1171875,45.6
1727652461,534.1171875,49.8
1727652461,534.1171875,54.3
1727652461,534.1171875,48.4
1727652461,534.1171875,56.8
1727652462,534.1171875,49.8
1727652462,534.1171875,50.0
1727652462,534.1171875,48.7
1727652462,534.1171875,55.6
1727652464,534.1171875,49.8
1727652464,534.1171875,56.5
1727652464,534.1171875,51.2
1727652464,534.1171875,40.6
1727652466,534.1171875,49.8
1727652466,534.1171875,55.3
1727652466,534.1171875,48.1
1727652466,534.1171875,55.6
1727652467,534.1171875,49.8
1727652467,534.1171875,55.3
1727652467,534.1171875,50.5
1727652467,534.1171875,42.4
1727652469,534.1171875,49.8
1727652469,534.1171875,52.1
1727652469,534.1171875,50.5
1727652469,534.1171875,37.5
1727652471,534.1171875,49.8
1727652471,534.1171875,54.3
1727652471,534.1171875,50.0
1727652471,534.1171875,37.5
1727652473,534.1171875,49.8
1727652473,534.1171875,52.1
1727652473,534.1171875,50.2
1727652473,534.1171875,39.4
1727652474,534.1171875,49.8
1727652474,534.1171875,53.2
1727652474,534.1171875,50.2
1727652474,534.1171875,56.5
1727652476,534.1171875,49.8
1727652476,534.1171875,51.1
1727652476,534.1171875,50.2
1727652476,534.1171875,56.8
1727652478,534.1171875,49.8
1727652478,534.1171875,38.9
1727652478,534.1171875,51.9
1727652478,534.1171875,50.9
1727652479,534.1171875,49.8
1727652479,534.1171875,46.2
1727652479,534.1171875,51.2
1727652479,534.1171875,38.2
1727652481,534.1171875,49.8
1727652481,534.1171875,54.3
1727652481,534.1171875,49.3
1727652481,534.1171875,40.6
1727652483,534.1171875,49.8
1727652483,534.1171875,40.0
1727652483,534.1171875,50.0
1727652483,534.1171875,56.8
1727652484,534.1171875,49.8
1727652484,534.1171875,56.5
1727652484,534.1171875,47.1
1727652484,534.1171875,54.3
1727652486,534.1171875,49.8
1727652486,534.1171875,40.5
1727652486,534.1171875,51.5
1727652486,534.1171875,39.4
1727652488,534.1171875,49.8
1727652488,534.1171875,53.2
1727652488,534.1171875,50.7
1727652488,534.1171875,52.4
1727652489,534.1171875,49.8
1727652489,534.1171875,47.7
1727652489,534.1171875,50.5
1727652489,534.1171875,44.4
1727652491,534.1171875,49.8
1727652491,534.1171875,54.2
1727652491,534.1171875,47.8
1727652491,534.1171875,56.8
1727652493,534.1171875,49.8
1727652493,534.1171875,54.3
1727652493,534.1171875,50.0
1727652493,534.1171875,38.2
1727652495,534.1171875,49.8
1727652495,534.1171875,52.4
1727652495,534.1171875,47.4
1727652495,534.1171875,58.3
1727652496,534.1171875,49.8
1727652496,534.1171875,55.3
1727652496,534.1171875,50.5
1727652496,534.1171875,51.0
1727652498,534.1171875,49.8
1727652498,534.1171875,54.3
1727652498,534.1171875,49.2
1727652498,534.1171875,51.3
1727652500,534.1171875,49.8
1727652500,534.1171875,50.0
1727652500,534.1171875,50.7
1727652500,534.1171875,39.4
1727652501,534.1171875,49.8
1727652501,534.1171875,55.3
1727652501,534.1171875,51.3
1727652501,534.1171875,37.5
1727652503,534.1171875,49.8
1727652503,534.1171875,56.5
1727652503,534.1171875,48.4
1727652503,534.1171875,57.8
1727652505,534.1171875,49.8
1727652505,534.1171875,55.6
1727652505,534.1171875,50.7
1727652505,534.1171875,39.4
1727652506,534.1171875,49.8
1727652506,534.1171875,55.1
1727652506,534.1171875,49.7
1727652506,534.1171875,50.0
1727652508,534.1171875,49.8
1727652508,534.1171875,54.3
1727652508,534.1171875,51.3
1727652508,534.1171875,39.4
1727652510,534.1171875,49.8
1727652510,534.1171875,35.3
1727652510,534.1171875,50.5
1727652510,534.1171875,55.3
1727652511,534.1171875,49.8
1727652511,534.1171875,54.2
1727652511,534.1171875,50.0
1727652511,534.1171875,39.4
1727652513,534.1171875,49.8
1727652513,534.1171875,54.2
1727652513,534.1171875,49.8
1727652513,534.1171875,42.4
1727652515,534.1171875,49.8
1727652515,534.1171875,55.3
1727652515,534.1171875,47.9
1727652515,534.1171875,56.8
1727652516,534.1171875,49.8
1727652516,534.1171875,48.8
1727652516,534.1171875,51.5
1727652516,534.1171875,38.7
1727652518,534.1171875,49.8
1727652518,534.1171875,38.2
1727652518,534.1171875,51.8
1727652518,534.1171875,40.6
1727652520,534.1171875,49.8
1727652520,534.1171875,53.2
1727652520,534.1171875,50.0
1727652520,534.1171875,53.5
1727652521,534.1171875,49.8
1727652521,534.1171875,38.2
1727652521,534.1171875,51.8
1727652521,534.1171875,41.2
1727652523,534.1171875,49.8
1727652523,534.1171875,47.5
1727652523,534.1171875,50.7
1727652523,534.1171875,42.9
1727652525,534.1171875,49.8
1727652525,534.1171875,54.2
1727652525,534.1171875,50.2
1727652525,534.1171875,37.5
1727652527,534.1171875,49.8
1727652527,534.1171875,38.2
1727652527,534.1171875,50.0
1727652527,534.1171875,56.5
1727652528,534.1171875,49.8
1727652528,534.1171875,39.4
1727652528,534.1171875,50.5
1727652528,534.1171875,55.3
1727652530,534.1171875,49.8
1727652530,534.1171875,35.3
1727652530,534.1171875,50.5
1727652530,534.1171875,56.5
1727652532,534.1171875,49.8
1727652532,534.1171875,55.3
1727652532,534.1171875,50.5
1727652532,534.1171875,37.5
1727652533,534.1171875,49.8
1727652533,534.1171875,52.3
1727652533,534.1171875,48.4
1727652533,534.1171875,55.6
1727652535,534.1171875,49.8
1727652535,534.1171875,55.1
1727652535,534.1171875,48.1
1727652535,534.1171875,56.8
1727652537,534.1171875,49.8
1727652537,534.1171875,55.1
1727652537,534.1171875,50.2
1727652537,534.1171875,56.8
1727652539,534.1171875,49.8
1727652539,534.1171875,56.5
1727652539,534.1171875,50.2
1727652539,534.1171875,37.5
1727652540,534.1171875,49.8
1727652540,534.1171875,54.3
1727652540,534.1171875,47.9
1727652540,534.1171875,54.3
1727652542,534.1171875,49.8
1727652542,534.1171875,42.5
1727652542,534.1171875,50.5
1727652542,534.1171875,57.4
1727652544,534.1171875,49.8
1727652544,534.1171875,44.7
1727652544,534.1171875,52.1
1727652544,534.1171875,40.6
1727652545,534.1171875,49.8
1727652545,534.1171875,57.4
1727652545,534.1171875,50.0
1727652545,534.1171875,42.4
1727652547,534.1171875,49.8
1727652547,534.1171875,53.1
1727652547,534.1171875,48.3
1727652547,534.1171875,55.6
1727652549,534.1171875,49.8
1727652549,534.1171875,41.7
1727652549,534.1171875,49.5
1727652549,534.1171875,58.7
1727652550,534.1171875,49.8
1727652550,534.1171875,36.4
1727652550,534.1171875,50.7
1727652550,534.1171875,56.8
1727652552,534.1171875,49.8
1727652552,534.1171875,53.2
1727652552,534.1171875,51.2
1727652552,534.1171875,37.5
1727652554,534.1171875,49.8
1727652554,534.1171875,51.2
1727652554,534.1171875,49.8
1727652554,534.1171875,56.8
1727652555,534.1171875,49.8
1727652555,534.1171875,40.5
1727652555,534.1171875,50.2
1727652555,534.1171875,55.6
1727652557,534.1171875,49.8
1727652557,534.1171875,54.2
1727652557,534.1171875,50.7
1727652557,534.1171875,38.7
1727652559,534.1171875,49.8
1727652559,534.1171875,55.1
1727652559,534.1171875,49.0
1727652559,534.1171875,51.3
1727652560,534.1171875,49.8
1727652560,534.1171875,38.2
1727652560,534.1171875,50.2
1727652560,534.1171875,55.6
1727652562,534.1171875,49.8
1727652562,534.1171875,39.4
1727652562,534.1171875,52.3
1727652562,534.1171875,40.0
1727652564,534.1171875,49.8
1727652564,534.1171875,51.2
1727652564,534.1171875,50.7
1727652564,534.1171875,38.7
1727652566,534.1171875,49.8
1727652566,534.1171875,37.5
1727652566,534.1171875,51.8
1727652566,534.1171875,40.0
1727652567,534.1171875,49.8
1727652567,534.1171875,55.3
1727652567,534.1171875,51.0
1727652567,534.1171875,41.2
1727652569,534.1171875,49.8
1727652569,534.1171875,53.2
1727652569,534.1171875,49.2
1727652569,534.1171875,56.8
1727652571,534.1171875,49.8
1727652571,534.1171875,37.8
1727652571,534.1171875,50.7
1727652571,534.1171875,56.5
1727652572,534.1171875,49.8
1727652572,534.1171875,37.1
1727652572,534.1171875,51.8
1727652572,534.1171875,40.6
1727652574,534.1171875,49.8
1727652574,534.1171875,54.2
1727652574,534.1171875,47.8
1727652574,534.1171875,57.4
1727652576,534.1171875,49.8
1727652576,534.1171875,39.4
1727652576,534.1171875,51.3
1727652576,534.1171875,40.6
1727652577,534.1171875,49.8
1727652577,534.1171875,38.2
1727652577,534.1171875,51.3
1727652577,534.1171875,55.1
1727652579,534.1171875,49.8
1727652579,534.1171875,49.1
1727652579,534.1171875,50.2
1727652579,534.1171875,39.4
1727652581,534.1171875,49.8
1727652581,534.1171875,34.3
1727652581,534.1171875,52.1
1727652581,534.1171875,41.7
1727652582,534.1171875,49.8
1727652582,534.1171875,52.0
1727652582,534.1171875,50.0
1727652582,534.1171875,55.3
1727652584,534.1171875,49.8
1727652584,534.1171875,54.2
1727652584,534.1171875,51.5
1727652584,534.1171875,38.7
1727652586,534.1171875,49.8
1727652586,534.1171875,50.7
1727652586,534.1171875,48.8
1727652586,534.1171875,55.6
1727652587,534.1171875,49.8
1727652587,534.1171875,54.3
1727652587,534.1171875,48.8
1727652587,534.1171875,55.6
1727652589,534.1171875,49.8
1727652589,534.1171875,52.1
1727652589,534.1171875,47.9
1727652589,534.1171875,55.3
1727652591,534.1171875,49.8
1727652591,534.1171875,38.2
1727652591,534.1171875,51.3
1727652591,534.1171875,44.4
1727652592,534.1171875,49.8
1727652592,534.1171875,35.3
1727652592,534.1171875,51.0
1727652592,534.1171875,56.8
1727652594,534.1171875,49.8
1727652594,534.1171875,36.4
1727652594,534.1171875,52.3
1727652594,534.1171875,46.2
1727652596,534.1171875,49.8
1727652596,534.1171875,54.2
1727652596,534.1171875,51.0
1727652596,534.1171875,41.2
1727652597,534.1171875,49.8
1727652597,534.1171875,37.8
1727652598,534.1171875,51.5
1727652598,534.1171875,39.4
1727652599,534.1171875,49.8
1727652599,534.1171875,44.7
1727652599,534.1171875,49.7
1727652599,534.1171875,54.3
1727652601,534.1171875,49.8
1727652601,534.1171875,54.3
1727652601,534.1171875,49.5
1727652601,534.1171875,48.6
1727652603,534.1171875,49.8
1727652603,534.1171875,36.1
1727652603,534.1171875,51.8
1727652603,534.1171875,51.9
1727652604,534.1171875,49.8
1727652604,534.1171875,54.0
1727652604,534.1171875,50.0
1727652604,534.1171875,38.2
1727652606,534.1171875,49.8
1727652606,534.1171875,54.2
1727652606,534.1171875,48.7
1727652606,534.1171875,51.2
1727652608,534.1171875,49.8
1727652608,534.1171875,55.3
1727652608,534.1171875,49.8
1727652608,534.1171875,39.4
1727652609,534.1171875,49.8
1727652609,534.1171875,56.3
1727652609,534.1171875,49.0
1727652609,534.1171875,47.4
1727652611,534.1171875,49.8
1727652611,534.1171875,55.3
1727652611,534.1171875,50.2
1727652611,534.1171875,40.6
1727652613,534.1171875,49.8
1727652613,534.1171875,54.0
1727652613,534.1171875,47.6
1727652613,534.1171875,55.6
1727652614,534.1171875,49.8
1727652615,534.1171875,54.2
1727652615,534.1171875,49.5
1727652615,534.1171875,43.2
1727652616,534.1171875,49.8
1727652616,534.1171875,47.5
1727652616,534.1171875,50.2
1727652616,534.1171875,56.5
1727652618,534.1171875,49.8
1727652618,534.1171875,54.2
1727652618,534.1171875,50.7
1727652618,534.1171875,39.4
1727652620,534.1171875,49.8
1727652620,534.1171875,54.2
1727652620,534.1171875,50.2
1727652620,534.1171875,53.3
1727652621,534.1171875,49.8
1727652621,534.1171875,47.5
1727652621,534.1171875,50.5
1727652621,534.1171875,43.2
1727652623,534.1171875,49.8
1727652623,534.1171875,54.2
1727652623,534.1171875,47.6
1727652623,534.1171875,55.6
1727652637,535.328125,50.2
1727652637,535.328125,35.3
1727652637,535.328125,50.7
1727652637,535.328125,55.6
1727652639,535.328125,49.8
1727652639,535.328125,42.1
1727652639,535.328125,51.2
1727652639,535.328125,42.9
1727652641,535.328125,49.8
1727652641,535.328125,48.1
1727652641,535.328125,49.0
1727652641,535.328125,56.5
1727652643,535.328125,49.8
1727652643,535.328125,55.3
1727652643,535.328125,50.5
1727652643,535.328125,37.5
1727652644,535.328125,49.8
1727652644,535.328125,52.1
1727652644,535.328125,50.2
1727652644,535.328125,48.9
1727652646,535.328125,49.8
1727652646,535.328125,36.4
1727652646,535.328125,51.8
1727652646,535.328125,38.2
1727652648,535.328125,49.8
1727652648,535.328125,56.3
1727652648,535.328125,48.1
1727652648,535.328125,56.5
1727652649,535.328125,49.8
1727652649,535.328125,54.3
1727652650,535.328125,49.5
1727652650,535.328125,52.1
1727652651,535.3984375,49.8
1727652651,535.3984375,53.2
1727652651,535.3984375,50.5
1727652651,535.3984375,55.6
1727652653,535.3984375,49.8
1727652653,535.3984375,38.2
1727652653,535.3984375,51.2
1727652653,535.3984375,41.2
1727652655,535.3984375,49.8
1727652655,535.3984375,52.0
1727652655,535.3984375,49.8
1727652655,535.3984375,39.4
1727652656,535.3984375,49.8
1727652656,535.3984375,57.4
1727652656,535.3984375,49.8
1727652656,535.3984375,55.3
1727652658,535.3984375,49.8
1727652658,535.3984375,54.2
1727652658,535.3984375,51.1
1727652658,535.3984375,39.4
1727652660,535.3984375,49.8
1727652660,535.3984375,41.7
1727652660,535.3984375,50.0
1727652660,535.3984375,56.5
1727652662,535.3984375,49.8
1727652662,535.3984375,53.2
1727652662,535.3984375,51.2
1727652662,535.3984375,37.5
1727652663,535.3984375,49.8
1727652663,535.3984375,56.5
1727652663,535.3984375,50.2
1727652663,535.3984375,52.0
1727652665,535.3984375,49.8
1727652665,535.3984375,54.2
1727652665,535.3984375,47.6
1727652665,535.3984375,58.7
1727652667,535.3984375,49.8
1727652667,535.3984375,37.1
1727652667,535.3984375,52.0
1727652667,535.3984375,39.4
1727652668,535.3984375,49.8
1727652668,535.3984375,55.3
1727652668,535.3984375,49.0
1727652668,535.3984375,50.0
1727652670,535.3984375,49.8
1727652670,535.3984375,55.3
1727652670,535.3984375,50.7
1727652670,535.3984375,40.6
1727652672,535.3984375,49.8
1727652672,535.3984375,54.2
1727652672,535.3984375,47.3
1727652672,535.3984375,56.8
1727652674,535.3984375,49.8
1727652674,535.3984375,53.1
1727652674,535.3984375,50.0
1727652674,535.3984375,39.4
1727652675,535.3984375,49.8
1727652675,535.3984375,52.1
1727652675,535.3984375,49.5
1727652675,535.3984375,55.3
1727652677,535.3984375,49.8
1727652677,535.3984375,40.5
1727652677,535.3984375,50.0
1727652677,535.3984375,54.3
1727652679,535.3984375,49.8
1727652679,535.3984375,54.3
1727652679,535.3984375,50.7
1727652679,535.3984375,36.4
1727652680,535.3984375,49.8
1727652680,535.3984375,37.1
1727652680,535.3984375,50.7
1727652680,535.3984375,56.5
1727652682,535.3984375,49.8
1727652682,535.3984375,53.2
1727652682,535.3984375,50.0
1727652682,535.3984375,52.1
1727652684,535.3984375,49.8
1727652684,535.3984375,52.0
1727652684,535.3984375,49.0
1727652684,535.3984375,56.8
1727652685,535.3984375,49.8
1727652685,535.3984375,54.2
1727652685,535.3984375,50.7
1727652685,535.3984375,39.4
1727652687,535.3984375,49.8
1727652687,535.3984375,46.5
1727652687,535.3984375,51.3
1727652687,535.3984375,37.5
1727652689,535.3984375,49.8
1727652689,535.3984375,54.3
1727652689,535.3984375,51.0
1727652689,535.3984375,39.4
1727652691,535.3984375,49.8
1727652691,535.3984375,54.3
1727652691,535.3984375,48.7
1727652691,535.3984375,52.4
1727652692,535.3984375,49.8
1727652692,535.3984375,41.2
1727652692,535.3984375,51.0
1727652692,535.3984375,55.6
1727652694,535.3984375,49.8
1727652694,535.3984375,48.8
1727652694,535.3984375,51.0
1727652694,535.3984375,40.6
1727652696,535.3984375,49.8
1727652696,535.3984375,53.2
1727652696,535.3984375,50.5
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1727652701,535.3984375,50.5
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1727652730,535.3984375,49.8
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1727652731,535.3984375,49.8
1727652731,535.3984375,39.4
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1727652731,535.3984375,40.6
1727652733,535.3984375,49.8
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1727652742,535.3984375,49.8
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1727652742,535.3984375,50.2
1727652742,535.3984375,39.4
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1727652750,535.3984375,48.1
1727652750,535.3984375,56.8
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1727652752,535.3984375,55.3
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1727652779,535.3984375,52.5
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1727652792,535.3984375,56.8
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1727652811,535.3984375,49.8
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1727652811,535.3984375,42.9
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1727652874,535.3984375,49.0
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1727652876,535.3984375,49.8
1727652876,535.3984375,55.3
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1727652876,535.3984375,40.6
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1727652878,535.3984375,55.3
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1727652878,535.3984375,42.4
1727652880,535.3984375,49.8
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1727652880,535.3984375,48.1
1727652880,535.3984375,55.6
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1727652882,535.3984375,38.2
1727652882,535.3984375,50.7
1727652882,535.3984375,56.5
1727652883,535.3984375,49.8
1727652883,535.3984375,38.2
1727652883,535.3984375,51.0
1727652883,535.3984375,39.4
1727652885,535.3984375,49.8
1727652885,535.3984375,54.3
1727652885,535.3984375,47.6
1727652885,535.3984375,56.8
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1727652887,535.3984375,54.3
1727652887,535.3984375,51.3
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1727652888,535.3984375,49.8
1727652888,535.3984375,55.3
1727652888,535.3984375,51.0
1727652888,535.3984375,37.5
1727652890,535.3984375,49.8
1727652890,535.3984375,38.9
1727652890,535.3984375,51.0
1727652890,535.3984375,54.0
1727652892,535.3984375,49.8
1727652892,535.3984375,56.3
1727652892,535.3984375,51.0
1727652892,535.3984375,37.1
1727652893,535.3984375,49.8
1727652893,535.3984375,38.2
1727652893,535.3984375,51.3
1727652893,535.3984375,42.4
1727652895,535.3984375,49.8
1727652895,535.3984375,56.5
1727652895,535.3984375,48.4
1727652895,535.3984375,56.5
1727652897,535.3984375,49.8
1727652897,535.3984375,39.4
1727652897,535.3984375,50.7
1727652897,535.3984375,56.5
1727652898,535.3984375,49.8
1727652898,535.3984375,37.1
1727652898,535.3984375,51.0
1727652898,535.3984375,52.5
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1727653560,539.4375,49.8
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1727653562,539.4375,49.8
1727653562,539.4375,44.7
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1727653564,539.4375,49.8
1727653564,539.4375,39.4
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1727653572,539.4375,40.5
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1727653572,539.4375,37.5
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1727653573,539.4375,38.2
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1727653575,539.4375,49.8
1727653575,539.4375,55.6
1727653575,539.4375,49.0
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1727653577,539.4375,49.8
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1727653577,539.4375,50.0
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1727653581,539.4375,50.9
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1727653583,539.4375,54.3
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1727653583,539.4375,55.6
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1727653585,539.4375,55.3
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1727653587,539.4375,54.3
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1727653589,539.4375,49.8
1727653589,539.4375,57.4
1727653589,539.4375,49.5
1727653589,539.4375,52.1
1727653591,539.4375,49.8
1727653591,539.4375,54.3
1727653591,539.4375,49.8
1727653591,539.4375,56.8
1727653593,539.4375,49.8
1727653593,539.4375,54.2
1727653593,539.4375,48.8
1727653593,539.4375,54.3
1727653595,539.4375,49.8
1727653595,539.4375,53.5
1727653595,539.4375,49.5
1727653595,539.4375,54.0
1727653597,539.4375,49.8
1727653597,539.4375,38.2
1727653597,539.4375,52.5
1727653597,539.4375,38.2
1727653599,539.4375,49.8
1727653599,539.4375,54.3
1727653599,539.4375,50.2
1727653599,539.4375,40.6
1727653600,539.4375,49.8
1727653600,539.4375,55.3
1727653600,539.4375,48.8
1727653600,539.4375,57.8
1727653602,539.4375,49.8
1727653602,539.4375,54.2
1727653602,539.4375,49.0
1727653602,539.4375,56.5
1727653604,539.4375,49.8
1727653604,539.4375,52.3
1727653604,539.4375,49.1
1727653604,539.4375,47.2
1727653606,539.4375,49.8
1727653606,539.4375,55.3
1727653606,539.4375,50.0
1727653606,539.4375,48.9
1727653608,539.4375,49.8
1727653608,539.4375,54.2
1727653608,539.4375,49.5
1727653608,539.4375,39.4
1727653610,539.4375,49.8
1727653610,539.4375,38.2
1727653610,539.4375,50.9
1727653610,539.4375,48.6
1727653612,539.4375,49.8
1727653612,539.4375,53.2
1727653612,539.4375,49.3
1727653612,539.4375,56.5
1727653614,539.4375,49.8
1727653614,539.4375,54.3
1727653614,539.4375,50.2
1727653614,539.4375,40.6
1727653616,539.4375,49.8
1727653616,539.4375,41.2
1727653616,539.4375,49.5
1727653616,539.4375,56.5
1727653618,539.4375,49.8
1727653618,539.4375,54.2
1727653618,539.4375,48.8
1727653618,539.4375,57.8
1727653620,539.4375,49.8
1727653620,539.4375,56.8
1727653620,539.4375,49.8
1727653620,539.4375,56.5
1727653622,539.4375,49.9
1727653622,539.4375,55.6
1727653622,539.4375,49.5
1727653622,539.4375,54.3
1727653623,539.4375,49.8
1727653623,539.4375,55.6
1727653623,539.4375,49.8
1727653623,539.4375,40.6
1727653625,539.4375,49.8
1727653625,539.4375,40.0
1727653625,539.4375,52.3
1727653625,539.4375,37.5
1727653627,539.4375,49.8
1727653627,539.4375,39.4
1727653627,539.4375,50.0
1727653627,539.4375,56.8
1727653629,539.4375,49.8
1727653629,539.4375,47.5
1727653629,539.4375,49.5
1727653629,539.4375,57.4
1727653631,539.4375,49.8
1727653631,539.4375,56.5
1727653631,539.4375,50.2
1727653631,539.4375,40.6
1727653633,539.4375,49.8
1727653633,539.4375,41.7
1727653633,539.4375,51.1
1727653633,539.4375,40.0
1727653635,539.4375,49.8
1727653635,539.4375,55.3
1727653635,539.4375,49.0
1727653635,539.4375,40.6
1727653637,539.4375,49.8
1727653637,539.4375,54.3
1727653637,539.4375,49.3
1727653637,539.4375,41.9
1727653639,539.4375,49.8
1727653639,539.4375,55.3
1727653639,539.4375,49.3
1727653639,539.4375,53.5
1727653641,539.4375,49.8
1727653641,539.4375,54.3
1727653641,539.4375,49.5
1727653641,539.4375,56.5
1727653643,539.4375,49.8
1727653643,539.4375,55.3
1727653643,539.4375,48.8
1727653643,539.4375,48.6
1727653645,539.4375,49.8
1727653645,539.4375,55.1
1727653645,539.4375,48.8
1727653645,539.4375,56.8
1727653646,539.4375,49.8
1727653646,539.4375,37.1
1727653646,539.4375,49.8
1727653646,539.4375,56.8
1727653648,539.4375,49.8
1727653648,539.4375,36.4
1727653648,539.4375,51.8
1727653648,539.4375,41.2
1727653650,539.4375,49.8
1727653650,539.4375,47.7
1727653650,539.4375,49.8
1727653650,539.4375,55.6
1727653652,539.4375,49.9
1727653652,539.4375,38.2
1727653652,539.4375,51.1
1727653652,539.4375,40.6
1727653654,539.4375,49.8
1727653654,539.4375,38.2
1727653654,539.4375,51.8
1727653654,539.4375,38.7
1727653656,539.4375,49.8
1727653656,539.4375,56.5
1727653656,539.4375,48.8
1727653656,539.4375,55.6
1727653658,539.4375,49.8
1727653658,539.4375,46.2
1727653658,539.4375,50.2
1727653658,539.4375,55.6
1727653660,539.4375,49.8
1727653660,539.4375,54.2
1727653660,539.4375,49.0
1727653660,539.4375,56.8
1727653662,539.4375,49.8
1727653662,539.4375,40.0
1727653662,539.4375,51.4
1727653662,539.4375,40.6
1727653664,539.4375,49.8
1727653664,539.4375,47.5
1727653664,539.4375,50.7
1727653664,539.4375,40.6
1727653666,539.4375,49.8
1727653666,539.4375,36.4
1727653666,539.4375,52.0
1727653666,539.4375,39.4
1727653668,539.4375,49.8
1727653668,539.4375,50.0
1727653668,539.4375,49.3
1727653668,539.4375,53.7
1727653670,539.4375,49.8
1727653670,539.4375,40.0
1727653670,539.4375,48.8
1727653670,539.4375,57.8
1727653672,539.4375,49.8
1727653672,539.4375,38.2
1727653672,539.4375,52.3
1727653672,539.4375,39.4
1727653673,539.4375,49.8
1727653673,539.4375,55.3
1727653673,539.4375,48.6
1727653673,539.4375,55.6
1727653675,539.4375,49.8
1727653675,539.4375,39.4
1727653675,539.4375,51.8
1727653675,539.4375,37.5
1727653677,539.4375,49.8
1727653677,539.4375,41.2
1727653677,539.4375,51.8
1727653677,539.4375,40.6
1727653679,539.4375,49.8
1727653679,539.4375,50.0
1727653679,539.4375,49.5
1727653679,539.4375,53.7
1727653681,539.4375,49.9
1727653681,539.4375,36.4
1727653681,539.4375,52.0
1727653681,539.4375,39.4
1727653683,539.4375,49.8
1727653683,539.4375,51.2
1727653683,539.4375,51.4
1727653683,539.4375,41.7
1727653685,539.4375,49.8
1727653685,539.4375,38.2
1727653685,539.4375,52.0
1727653685,539.4375,51.0
1727653687,539.4375,49.8
1727653687,539.4375,54.3
1727653687,539.4375,49.8
1727653687,539.4375,54.8
1727653689,539.4375,49.8
1727653689,539.4375,55.3
1727653689,539.4375,49.8
1727653689,539.4375,56.8
1727653691,539.4375,49.8
1727653691,539.4375,56.5
1727653691,539.4375,48.1
1727653691,539.4375,57.8
1727653693,539.4375,49.8
1727653693,539.4375,35.3
1727653693,539.4375,51.8
1727653693,539.4375,41.2
1727653695,539.4375,49.8
1727653695,539.4375,43.2
1727653695,539.4375,49.8
1727653695,539.4375,56.8
1727653697,539.4375,49.8
1727653697,539.4375,44.7
1727653697,539.4375,50.5
1727653697,539.4375,53.5
1727653699,539.4375,49.8
1727653699,539.4375,57.4
1727653699,539.4375,48.6
1727653699,539.4375,56.5
1727653700,539.4375,49.8
1727653700,539.4375,55.6
1727653700,539.4375,49.3
1727653700,539.4375,55.6
1727653702,539.4375,49.8
1727653702,539.4375,54.2
1727653702,539.4375,49.0
1727653702,539.4375,48.7
1727653704,539.4375,49.8
1727653704,539.4375,54.3
1727653704,539.4375,49.4
1727653704,539.4375,55.6
1727653706,539.4375,49.8
1727653706,539.4375,54.3
1727653706,539.4375,49.3
1727653706,539.4375,56.8
1727653708,539.4375,49.8
1727653708,539.4375,36.4
1727653708,539.4375,51.6
1727653708,539.4375,41.2
1727653710,539.4375,49.8
1727653710,539.4375,41.7
1727653710,539.4375,52.0
1727653710,539.4375,38.2
1727653712,539.4375,49.8
1727653712,539.4375,56.5
1727653712,539.4375,51.1
1727653712,539.4375,41.2
1727653714,539.4375,49.8
1727653714,539.4375,38.2
1727653714,539.4375,52.7
1727653714,539.4375,37.5
1727653716,539.4375,49.8
1727653716,539.4375,35.3
1727653716,539.4375,51.1
1727653716,539.4375,44.1
1727653718,539.4375,49.8
1727653718,539.4375,44.7
1727653718,539.4375,50.7
1727653718,539.4375,51.2
1727653720,539.4375,49.8
1727653720,539.4375,55.3
1727653720,539.4375,49.0
1727653720,539.4375,40.6
1727653722,539.4375,49.8
1727653722,539.4375,54.2
1727653722,539.4375,48.6
1727653722,539.4375,54.3
1727653724,539.4375,49.8
1727653724,539.4375,52.6
1727653724,539.4375,49.6
1727653724,539.4375,39.4
1727653726,539.4375,49.8
1727653726,539.4375,43.2
1727653726,539.4375,51.8
1727653726,539.4375,40.6
1727653727,539.4375,49.8
1727653727,539.4375,55.3
1727653727,539.4375,50.2
1727653727,539.4375,37.5
1727653729,539.4375,49.8
1727653730,539.4375,55.3
1727653730,539.4375,48.6
1727653730,539.4375,55.3
1727653731,539.4375,49.8
1727653731,539.4375,36.4
1727653731,539.4375,51.1
1727653731,539.4375,41.2
1727653733,539.4375,49.8
1727653733,539.4375,39.4
1727653733,539.4375,51.3
1727653733,539.4375,40.6
1727653735,539.4375,49.8
1727653735,539.4375,52.1
1727653735,539.4375,48.8
1727653735,539.4375,56.8
1727653737,539.4375,49.8
1727653737,539.4375,54.3
1727653737,539.4375,49.5
1727653737,539.4375,56.5
1727653739,539.4375,49.8
1727653739,539.4375,53.2
1727653739,539.4375,51.1
1727653739,539.4375,38.7
1727653741,539.4375,49.9
1727653741,539.4375,55.3
1727653741,539.4375,49.5
1727653741,539.4375,58.1
1727653743,539.4375,49.8
1727653743,539.4375,47.4
1727653743,539.4375,49.5
1727653743,539.4375,54.3
1727653745,539.4375,49.8
1727653745,539.4375,38.9
1727653745,539.4375,51.8
1727653745,539.4375,40.6
1727653747,539.4375,49.8
1727653747,539.4375,53.2
1727653747,539.4375,50.5
1727653747,539.4375,37.5
1727653749,539.4375,49.8
1727653749,539.4375,53.2
1727653749,539.4375,49.3
1727653749,539.4375,56.5
1727653751,539.4375,49.8
1727653751,539.4375,37.1
1727653751,539.4375,51.6
1727653751,539.4375,47.2
1727653753,539.4375,49.8
1727653753,539.4375,54.3
1727653753,539.4375,49.3
1727653753,539.4375,55.6
1727653754,539.4375,49.8
1727653754,539.4375,54.5
1727653754,539.4375,50.0
1727653754,539.4375,40.6
1727653756,539.4375,49.8
1727653756,539.4375,55.6
1727653756,539.4375,48.8
1727653756,539.4375,59.1
1727653758,539.4375,49.8
1727653758,539.4375,55.3
1727653758,539.4375,49.3
1727653758,539.4375,54.8
1727653760,539.4375,49.8
1727653760,539.4375,54.3
1727653760,539.4375,49.3
1727653760,539.4375,53.5
1727653762,539.4375,49.8
1727653762,539.4375,43.2
1727653762,539.4375,51.9
1727653762,539.4375,39.4
1727653764,539.4375,49.8
1727653764,539.4375,54.3
1727653764,539.4375,48.4
1727653764,539.4375,56.8
1727653766,539.4375,49.8
1727653766,539.4375,47.6
1727653766,539.4375,50.7
1727653766,539.4375,37.5
1727653768,539.4375,49.8
1727653768,539.4375,55.6
1727653768,539.4375,49.0
1727653768,539.4375,56.8
1727653770,539.4375,49.8
1727653770,539.4375,53.2
1727653770,539.4375,48.8
1727653770,539.4375,55.6
1727653772,539.4375,49.8
1727653772,539.4375,37.5
1727653772,539.4375,51.4
1727653772,539.4375,36.4
1727653774,539.4375,49.8
1727653774,539.4375,54.2
1727653774,539.4375,51.3
1727653774,539.4375,40.6
1727653776,539.4375,49.8
1727653776,539.4375,54.2
1727653776,539.4375,49.0
1727653776,539.4375,44.1
1727653777,539.4375,49.8
1727653777,539.4375,58.3
1727653777,539.4375,49.3
1727653777,539.4375,51.3
1727653779,539.4375,49.8
1727653779,539.4375,52.1
1727653779,539.4375,49.3
1727653779,539.4375,55.6
1727653781,539.4375,49.8
1727653781,539.4375,55.3
1727653781,539.4375,49.3
1727653781,539.4375,39.4
1727653783,539.4375,49.8
1727653783,539.4375,56.5
1727653783,539.4375,49.8
1727653783,539.4375,54.3
1727653785,539.4375,49.8
1727653785,539.4375,55.6
1727653785,539.4375,47.9
1727653785,539.4375,56.8
1727653787,539.4375,49.8
1727653787,539.4375,53.2
1727653787,539.4375,48.6
1727653787,539.4375,55.3
1727653792,539.4375,49.7
1727653792,539.4375,48.8
1727653792,539.4375,50.5
1727653792,539.4375,40.0
1727653794,539.4375,49.8
1727653794,539.4375,54.3
1727653794,539.4375,48.8
1727653794,539.4375,55.6
1727653796,539.4375,49.8
1727653796,539.4375,47.4
1727653796,539.4375,49.5
1727653796,539.4375,58.1
1727653798,539.4375,49.8
1727653798,539.4375,57.1
1727653798,539.4375,49.8
1727653798,539.4375,40.6
1727653800,539.4375,49.9
1727653800,539.4375,55.6
1727653800,539.4375,49.8
1727653800,539.4375,50.0
1727653802,539.4375,49.8
1727653802,539.4375,54.3
1727653802,539.4375,50.0
1727653802,539.4375,37.5
1727653804,539.4375,49.8
1727653804,539.4375,39.4
1727653804,539.4375,49.8
1727653804,539.4375,57.8
1727653806,539.4375,49.8
1727653806,539.4375,55.3
1727653806,539.4375,48.8
1727653806,539.4375,60.0
1727653807,539.4375,49.8
1727653807,539.4375,54.3
1727653807,539.4375,49.3
1727653807,539.4375,55.6
1727653809,539.4375,49.8
1727653809,539.4375,54.2
1727653809,539.4375,51.1
1727653809,539.4375,42.9
1727653811,539.4375,49.8
1727653811,539.4375,38.2
1727653811,539.4375,49.5
1727653811,539.4375,56.5
1727653813,539.4375,49.8
1727653813,539.4375,58.0
1727653813,539.4375,48.6
1727653813,539.4375,55.3
1727653815,539.4375,49.8
1727653815,539.4375,37.5
1727653815,539.4375,51.6
1727653815,539.4375,47.7
1727653817,539.4375,49.8
1727653817,539.4375,36.4
1727653817,539.4375,52.0
1727653817,539.4375,39.4
1727653819,539.4375,49.8
1727653819,539.4375,54.3
1727653819,539.4375,49.0
1727653819,539.4375,50.0
1727653821,539.4375,49.8
1727653821,539.4375,47.4
1727653821,539.4375,50.5
1727653821,539.4375,40.6
1727653823,539.4375,49.8
1727653823,539.4375,37.5
1727653823,539.4375,50.5
1727653823,539.4375,58.1
1727653825,539.4375,49.8
1727653825,539.4375,48.8
1727653825,539.4375,50.5
1727653825,539.4375,41.9
1727653827,539.4375,49.8
1727653827,539.4375,37.5
1727653827,539.4375,52.0
1727653827,539.4375,40.0
1727653829,539.4375,49.8
1727653829,539.4375,55.6
1727653829,539.4375,50.2
1727653829,539.4375,39.4
1727653830,539.4375,49.8
1727653830,539.4375,56.5
1727653830,539.4375,49.3
1727653830,539.4375,56.8
1727653832,539.4375,49.8
1727653832,539.4375,56.8
1727653832,539.4375,49.5
1727653832,539.4375,56.5
1727653834,539.4375,49.8
1727653834,539.4375,56.5
1727653834,539.4375,49.0
1727653834,539.4375,47.2
1727653836,539.4375,49.8
1727653836,539.4375,50.0
1727653836,539.4375,50.0
1727653836,539.4375,39.4
1727653838,539.4375,49.8
1727653838,539.4375,55.3
1727653838,539.4375,49.5
1727653838,539.4375,38.7
1727653840,539.4375,49.8
1727653840,539.4375,48.8
1727653840,539.4375,50.7
1727653840,539.4375,37.5
1727653842,539.4375,49.8
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1727653842,539.4375,51.6
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1727653844,539.4375,49.8
1727653844,539.4375,40.0
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1727653844,539.4375,43.2
1727653846,539.4375,49.8
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1727653846,539.4375,49.3
1727653846,539.4375,56.5
1727653848,539.4375,49.8
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1727653848,539.4375,57.8
1727653850,539.4375,49.8
1727653850,539.4375,55.3
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1727653852,539.4375,49.8
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1727653853,539.4375,55.6
1727653855,539.4375,49.8
1727653855,539.4375,38.2
1727653855,539.4375,52.1
1727653855,539.4375,45.7
1727653857,539.4375,49.8
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1727653857,539.4375,48.8
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1727653859,539.4375,48.8
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1727653861,539.4375,49.9
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1727653861,539.4375,52.5
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1727653863,539.4375,55.6
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1727653877,539.77734375,58.7
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1727653881,539.77734375,49.8
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1727653881,539.77734375,55.6
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1727653883,539.77734375,41.2
1727653885,539.77734375,49.8
1727653885,539.77734375,36.4
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1727653885,539.77734375,39.4
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1727653887,539.77734375,47.9
1727653887,539.77734375,56.5
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1727653889,539.77734375,48.6
1727653889,539.77734375,53.7
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1727653891,539.77734375,42.4
1727653891,539.77734375,50.9
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1727653893,539.77734375,49.8
1727653893,539.77734375,39.4
1727653893,539.77734375,50.9
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1727653895,539.77734375,49.8
1727653895,539.77734375,38.2
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1727653897,539.77734375,49.8
1727653897,539.77734375,54.3
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1727653899,539.77734375,49.8
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1727653899,539.77734375,52.2
1727653899,539.77734375,37.5
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1727653903,539.77734375,55.6
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1727653905,539.77734375,49.5
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1727653907,539.77734375,56.5
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1727653909,539.77734375,55.6
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1727653914,539.77734375,49.8
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1727653916,539.77734375,49.8
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1727653916,539.77734375,57.8
1727653918,539.77734375,49.8
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1727653920,539.77734375,38.7
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1727653930,539.77734375,47.2
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1727653938,539.77734375,48.7
1727653940,539.77734375,49.8
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1727653942,539.77734375,57.8
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1727654087,545.6953125,40.6
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1727654093,545.6953125,42.4
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1727654094,545.6953125,51.6
1727654094,545.6953125,51.1
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1727654096,545.6953125,48.8
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1727654100,545.6953125,49.9
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1727654102,545.6953125,57.8
1727654104,545.6953125,49.8
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1727654169,545.6953125,50.9
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1727654171,545.6953125,49.8
1727654171,545.6953125,41.2
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1727654173,545.6953125,49.8
1727654173,545.6953125,38.2
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1727654190,545.6953125,38.7
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1727654782,418.00390625,56.5
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1727654790,418.00390625,49.8
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1727654792,418.00390625,54.3
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1727654795,418.00390625,49.8
1727654795,418.00390625,46.3
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1727654795,418.00390625,38.7
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1727654797,418.00390625,44.7
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1727654803,418.00390625,49.9
1727654803,418.00390625,54.2
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1727655054,417.66796875,39.4
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1727655058,417.66796875,38.7
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1727655067,417.66796875,49.9
1727655067,417.66796875,46.2
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1727655069,417.66796875,49.8
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1727655069,417.66796875,50.9
1727655069,417.66796875,40.6
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1727655071,417.66796875,56.5
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1727655073,417.66796875,44.7
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1727655073,417.66796875,57.8
1727655075,417.66796875,49.8
1727655075,417.66796875,56.2
1727655075,417.66796875,50.2
1727655075,417.66796875,39.4
1727655077,417.66796875,49.9
1727655077,417.66796875,41.7
1727655077,417.66796875,50.4
1727655077,417.66796875,57.8
1727655080,417.66796875,49.9
1727655080,417.66796875,43.2
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1727655080,417.66796875,56.5
1727655082,417.67578125,49.8
1727655082,417.67578125,46.2
1727655082,417.67578125,49.6
1727655082,417.67578125,55.6
1727655084,417.67578125,49.9
1727655084,417.67578125,38.2
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1727655084,417.67578125,56.8
1727655086,417.67578125,49.8
1727655086,417.67578125,37.5
1727655086,417.67578125,50.9
1727655086,417.67578125,56.5
1727655088,417.67578125,49.9
1727655088,417.67578125,37.1
1727655088,417.67578125,50.4
1727655088,417.67578125,57.4
1727655091,417.67578125,49.9
1727655091,417.67578125,37.5
1727655091,417.67578125,50.9
1727655091,417.67578125,57.4
1727655093,417.67578125,49.8
1727655093,417.67578125,55.1
1727655093,417.67578125,48.6
1727655093,417.67578125,58.1
1727655095,417.67578125,49.9
1727655095,417.67578125,36.4
1727655095,417.67578125,51.1
1727655095,417.67578125,58.7
1727655097,417.67578125,49.8
1727655097,417.67578125,55.6
1727655097,417.67578125,49.1
1727655097,417.67578125,54.8
1727655099,417.67578125,49.8
1727655099,417.67578125,56.3
1727655099,417.67578125,47.6
1727655099,417.67578125,57.4
1727655101,417.67578125,49.8
1727655101,417.67578125,54.2
1727655101,417.67578125,49.6
1727655101,417.67578125,53.2
1727655104,417.67578125,49.9
1727655104,417.67578125,55.3
1727655104,417.67578125,47.7
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1727655106,417.67578125,49.9
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1727655108,417.67578125,48.6
1727655108,417.67578125,51.2
1727655110,417.67578125,49.9
1727655110,417.67578125,36.4
1727655110,417.67578125,51.3
1727655110,417.67578125,38.2
1727655112,417.67578125,49.9
1727655112,417.67578125,38.2
1727655112,417.67578125,50.9
1727655112,417.67578125,56.8
1727655115,417.67578125,49.9
1727655115,417.67578125,53.2
1727655115,417.67578125,51.1
1727655115,417.67578125,39.4
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1727655117,417.67578125,48.8
1727655117,417.67578125,50.7
1727655117,417.67578125,44.4
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1727655119,417.67578125,52.2
1727655119,417.67578125,48.8
1727655119,417.67578125,56.8
1727655121,417.67578125,49.9
1727655121,417.67578125,55.3
1727655121,417.67578125,50.0
1727655121,417.67578125,40.6
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1727655123,417.67578125,37.5
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1727655123,417.67578125,58.7
1727655125,417.67578125,49.9
1727655125,417.67578125,38.2
1727655125,417.67578125,50.4
1727655125,417.67578125,55.6
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1727655127,417.67578125,57.8
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1727655130,417.67578125,53.7
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1727655132,417.67578125,38.2
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1727655132,417.67578125,56.5
1727655134,417.67578125,49.9
1727655134,417.67578125,36.4
1727655134,417.67578125,51.6
1727655134,417.67578125,40.6
1727655136,417.67578125,49.9
1727655136,417.67578125,37.1
1727655136,417.67578125,51.6
1727655136,417.67578125,44.1
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1727655138,417.68359375,55.3
1727655138,417.68359375,48.3
1727655138,417.68359375,56.8
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1727655140,417.68359375,50.7
1727655140,417.68359375,41.2
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1727655143,417.68359375,50.2
1727655143,417.68359375,55.6
1727655145,417.68359375,49.9
1727655145,417.68359375,55.3
1727655145,417.68359375,49.6
1727655145,417.68359375,37.1
1727655147,417.68359375,49.9
1727655147,417.68359375,51.1
1727655147,417.68359375,49.8
1727655147,417.68359375,55.3
1727655149,417.68359375,49.9
1727655149,417.68359375,55.3
1727655149,417.68359375,47.4
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1727655151,417.68359375,49.9
1727655151,417.68359375,36.4
1727655151,417.68359375,50.2
1727655151,417.68359375,56.8
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1727655153,417.68359375,55.3
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1727655154,417.68359375,55.8
1727655156,417.68359375,49.9
1727655156,417.68359375,53.2
1727655156,417.68359375,49.8
1727655156,417.68359375,40.6
1727655158,417.68359375,49.8
1727655158,417.68359375,56.3
1727655158,417.68359375,48.6
1727655158,417.68359375,54.5
1727655160,417.68359375,49.9
1727655160,417.68359375,56.5
1727655160,417.68359375,49.4
1727655160,417.68359375,53.5
1727655162,417.68359375,49.9
1727655162,417.68359375,51.1
1727655162,417.68359375,50.4
1727655162,417.68359375,34.3
1727655165,417.68359375,49.9
1727655165,417.68359375,41.7
1727655165,417.68359375,51.4
1727655165,417.68359375,37.5
1727655167,417.68359375,49.9
1727655167,417.68359375,54.3
1727655167,417.68359375,50.2
1727655167,417.68359375,47.2
1727655169,417.68359375,49.8
1727655169,417.68359375,56.5
1727655169,417.68359375,50.0
1727655169,417.68359375,55.6
1727655171,417.68359375,49.8
1727655171,417.68359375,51.1
1727655171,417.68359375,48.9
1727655171,417.68359375,50.0
1727655173,417.68359375,49.9
1727655173,417.68359375,53.5
1727655173,417.68359375,48.2
1727655173,417.68359375,54.3
1727655175,417.68359375,49.9
1727655175,417.68359375,54.3
1727655175,417.68359375,48.1
1727655175,417.68359375,54.3
1727655178,417.68359375,49.8
1727655178,417.68359375,55.3
1727655178,417.68359375,50.7
1727655178,417.68359375,44.4
1727655180,417.68359375,49.9
1727655180,417.68359375,54.3
1727655180,417.68359375,47.7
1727655180,417.68359375,55.3
1727655182,417.68359375,49.9
1727655182,417.68359375,38.9
1727655182,417.68359375,50.0
1727655182,417.68359375,56.8
1727655184,417.68359375,49.9
1727655184,417.68359375,51.1
1727655184,417.68359375,49.3
1727655184,417.68359375,56.8
1727655186,417.68359375,49.8
1727655186,417.68359375,55.6
1727655186,417.68359375,49.1
1727655186,417.68359375,53.7
1727655188,417.68359375,49.8
1727655188,417.68359375,41.2
1727655188,417.68359375,50.2
1727655188,417.68359375,56.8
1727655191,417.68359375,49.8
1727655191,417.68359375,53.2
1727655191,417.68359375,50.0
1727655191,417.68359375,52.5
1727655193,417.68359375,49.8
1727655193,417.68359375,52.1
1727655193,417.68359375,48.3
1727655193,417.68359375,57.4
1727655195,417.68359375,49.9
1727655195,417.68359375,40.0
1727655195,417.68359375,49.8
1727655195,417.68359375,57.8
1727655197,417.68359375,49.9
1727655197,417.68359375,53.3
1727655197,417.68359375,48.4
1727655197,417.68359375,57.8
1727655199,417.68359375,49.8
1727655199,417.68359375,54.2
1727655199,417.68359375,47.9
1727655199,417.68359375,52.1
1727655201,417.68359375,49.9
1727655201,417.68359375,38.2
1727655201,417.68359375,51.3
1727655201,417.68359375,42.9
1727655203,417.68359375,49.9
1727655203,417.68359375,52.1
1727655204,417.68359375,48.4
1727655204,417.68359375,56.5
1727655206,417.68359375,49.8
1727655206,417.68359375,55.3
1727655206,417.68359375,47.7
1727655206,417.68359375,57.8
1727655208,417.68359375,49.9
1727655208,417.68359375,53.2
1727655208,417.68359375,47.9
1727655208,417.68359375,55.6
1727655210,417.68359375,49.8
1727655210,417.68359375,55.3
1727655210,417.68359375,51.1
1727655210,417.68359375,41.2
1727655212,417.68359375,49.9
1727655212,417.68359375,39.4
1727655212,417.68359375,50.0
1727655212,417.68359375,54.8
1727655214,417.68359375,49.9
1727655214,417.68359375,36.4
1727655214,417.68359375,51.1
1727655214,417.68359375,39.4
1727655216,417.68359375,49.9
1727655216,417.68359375,38.2
1727655216,417.68359375,51.3
1727655216,417.68359375,41.2
1727655219,417.68359375,49.9
1727655219,417.68359375,37.5
1727655219,417.68359375,50.0
1727655219,417.68359375,55.6
1727655221,417.68359375,49.9
1727655221,417.68359375,54.0
1727655221,417.68359375,49.4
1727655221,417.68359375,37.5
1727655223,417.68359375,49.9
1727655223,417.68359375,41.7
1727655223,417.68359375,51.8
1727655223,417.68359375,40.6
1727655225,417.68359375,49.9
1727655225,417.68359375,53.2
1727655225,417.68359375,50.7
1727655225,417.68359375,47.2
1727655227,417.68359375,49.8
1727655227,417.68359375,51.2
1727655227,417.68359375,51.1
1727655227,417.68359375,39.4
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1727655229,417.68359375,53.2
1727655229,417.68359375,50.0
1727655229,417.68359375,47.2
1727655232,417.68359375,49.9
1727655232,417.68359375,51.0
1727655232,417.68359375,48.1
1727655232,417.68359375,56.5
1727655234,417.68359375,49.9
1727655234,417.68359375,53.1
1727655234,417.68359375,50.2
1727655234,417.68359375,48.6
1727655236,417.68359375,49.8
1727655236,417.68359375,43.2
1727655236,417.68359375,49.6
1727655236,417.68359375,56.5
1727655238,417.68359375,49.9
1727655238,417.68359375,54.3
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1727655240,417.68359375,44.7
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1727655240,417.68359375,45.7
1727655242,417.68359375,49.9
1727655242,417.68359375,57.4
1727655242,417.68359375,47.9
1727655242,417.68359375,58.1
1727655245,417.68359375,49.9
1727655245,417.68359375,55.3
1727655245,417.68359375,50.4
1727655245,417.68359375,40.6
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1727655247,417.68359375,37.5
1727655247,417.68359375,50.7
1727655247,417.68359375,56.5
1727655249,417.68359375,49.9
1727655249,417.68359375,48.8
1727655249,417.68359375,49.1
1727655249,417.68359375,55.6
1727655251,417.68359375,49.8
1727655251,417.68359375,53.5
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1727655253,417.68359375,49.8
1727655253,417.68359375,54.3
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1727655253,417.68359375,56.5
1727655255,417.68359375,49.9
1727655255,417.68359375,53.2
1727655255,417.68359375,48.9
1727655255,417.68359375,51.2
1727655258,417.68359375,49.9
1727655258,417.68359375,52.3
1727655258,417.68359375,48.2
1727655258,417.68359375,56.5
1727655260,417.68359375,49.8
1727655260,417.68359375,39.4
1727655260,417.68359375,50.7
1727655260,417.68359375,58.7
1727655262,417.68359375,49.9
1727655262,417.68359375,35.3
1727655262,417.68359375,50.9
1727655262,417.68359375,57.4
1727655264,417.68359375,49.8
1727655264,417.68359375,55.3
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1727655293,417.68359375,52.4
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1727655295,417.68359375,47.6
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1727655297,417.68359375,49.9
1727655297,417.68359375,44.7
1727655297,417.68359375,51.5
1727655297,417.68359375,41.2
1727655299,417.68359375,49.8
1727655299,417.68359375,44.7
1727655299,417.68359375,50.0
1727655299,417.68359375,56.8
1727655301,417.68359375,49.9
1727655301,417.68359375,36.4
1727655301,417.68359375,50.9
1727655301,417.68359375,45.9
1727655303,417.68359375,49.9
1727655303,417.68359375,53.1
1727655303,417.68359375,48.1
1727655303,417.68359375,56.8
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1727655306,417.68359375,55.3
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1727655306,417.68359375,37.5
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1727655308,417.68359375,55.3
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1727655308,417.68359375,40.6
1727655310,417.68359375,49.9
1727655310,417.68359375,36.4
1727655310,417.68359375,50.2
1727655310,417.68359375,55.6
1727655312,417.68359375,49.8
1727655312,417.68359375,56.5
1727655312,417.68359375,49.8
1727655312,417.68359375,38.7
1727655314,417.6875,49.9
1727655314,417.6875,55.6
1727655314,417.6875,49.1
1727655314,417.6875,53.5
1727655316,417.6875,49.8
1727655316,417.6875,55.3
1727655316,417.6875,49.1
1727655316,417.6875,57.8
1727655319,417.6875,49.8
1727655319,417.6875,55.3
1727655319,417.6875,49.8
1727655319,417.6875,40.0
1727655321,417.6875,49.9
1727655321,417.6875,38.2
1727655321,417.6875,51.3
1727655321,417.6875,37.5
1727655323,417.6875,49.9
1727655323,417.6875,49.1
1727655323,417.6875,48.7
1727655323,417.6875,52.9
1727655325,417.6875,49.8
1727655325,417.6875,54.3
1727655325,417.6875,50.0
1727655325,417.6875,40.6
1727655327,417.6875,49.9
1727655327,417.6875,54.3
1727655327,417.6875,48.6
1727655327,417.6875,55.6
1727655329,417.6875,49.8
1727655329,417.6875,55.6
1727655329,417.6875,48.4
1727655329,417.6875,54.8
1727655332,417.6875,49.9
1727655332,417.6875,38.2
1727655332,417.6875,51.1
1727655332,417.6875,41.2
1727655334,417.6875,49.9
1727655334,417.6875,36.4
1727655334,417.6875,51.6
1727655334,417.6875,54.5
1727655336,417.6875,49.8
1727655336,417.6875,47.5
1727655336,417.6875,49.5
1727655336,417.6875,55.6
1727655338,417.6875,49.9
1727655338,417.6875,36.4
1727655338,417.6875,50.7
1727655338,417.6875,55.6
1727655340,417.6875,49.8
1727655340,417.6875,55.3
1727655340,417.6875,49.5
1727655340,417.6875,51.2
1727655342,417.6875,49.9
1727655342,417.6875,54.3
1727655342,417.6875,49.0
1727655342,417.6875,56.5
1727655345,417.6875,49.8
1727655345,417.6875,56.5
1727655345,417.6875,47.4
1727655345,417.6875,55.6
1727655347,417.6875,49.8
1727655347,417.6875,55.6
1727655347,417.6875,50.4
1727655347,417.6875,44.1
1727655350,418.1953125,49.9
1727655350,418.1953125,48.9
1727655350,418.1953125,51.3
1727655350,418.1953125,47.4
1727655365,417.390625,50.1
1727655365,417.390625,42.1
1727655365,417.390625,51.9
1727655365,417.390625,38.7
1727655367,417.390625,49.9
1727655367,417.390625,37.5
1727655367,417.390625,51.1
1727655367,417.390625,39.4
1727655369,417.390625,49.8
1727655369,417.390625,54.3
1727655369,417.390625,48.4
1727655369,417.390625,55.6
1727655371,417.390625,49.8
1727655371,417.390625,37.1
1727655371,417.390625,50.2
1727655371,417.390625,55.6
1727655374,417.390625,49.9
1727655374,417.390625,38.2
1727655374,417.390625,50.7
1727655374,417.390625,58.7
1727655376,417.390625,49.8
1727655376,417.390625,41.2
1727655376,417.390625,50.7
1727655376,417.390625,53.5
1727655378,417.390625,49.8
1727655378,417.390625,56.5
1727655378,417.390625,50.0
1727655378,417.390625,40.6
1727655380,417.390625,49.8
1727655380,417.390625,55.6
1727655380,417.390625,50.0
1727655380,417.390625,40.6
1727655382,417.390625,49.8
1727655382,417.390625,56.3
1727655382,417.390625,49.1
1727655382,417.390625,54.8
1727655384,417.390625,49.9
1727655384,417.390625,38.9
1727655384,417.390625,51.1
1727655384,417.390625,55.6
1727655387,417.390625,49.9
1727655387,417.390625,54.3
1727655387,417.390625,50.2
1727655387,417.390625,40.0
1727655389,417.390625,49.9
1727655389,417.390625,54.3
1727655389,417.390625,50.0
1727655389,417.390625,37.5
1727655391,417.390625,49.9
1727655391,417.390625,54.2
1727655391,417.390625,49.1
1727655391,417.390625,39.4
1727655393,417.390625,49.9
1727655393,417.390625,38.2
1727655393,417.390625,50.4
1727655393,417.390625,54.3
1727655397,417.328125,49.9
1727655397,417.328125,54.2
1727655397,417.328125,49.4
1727655397,417.328125,55.6
1727655415,417.8125,50.2
1727655415,417.8125,55.6
1727655415,417.8125,47.9
1727655415,417.8125,54.8
1727655433,418.04296875,50.2
1727655433,418.04296875,53.2
1727655433,418.04296875,48.7
1727655433,418.04296875,57.8
1727655435,418.04296875,49.8
1727655435,418.04296875,53.3
1727655435,418.04296875,47.9
1727655435,418.04296875,55.6
1727655437,418.04296875,49.9
1727655437,418.04296875,34.3
1727655437,418.04296875,51.6
1727655437,418.04296875,44.4
1727655440,418.04296875,49.9
1727655440,418.04296875,40.0
1727655440,418.04296875,51.0
1727655440,418.04296875,37.5
1727655442,418.04296875,49.9
1727655442,418.04296875,38.2
1727655442,418.04296875,49.6
1727655442,418.04296875,56.5
1727655444,418.04296875,49.9
1727655444,418.04296875,52.3
1727655444,418.04296875,50.0
1727655444,418.04296875,56.8
1727655446,418.04296875,49.9
1727655446,418.04296875,48.8
1727655446,418.04296875,48.9
1727655446,418.04296875,55.3
1727655449,418.04296875,49.9
1727655449,418.04296875,43.6
1727655449,418.04296875,51.7
1727655449,418.04296875,38.2
1727655451,418.04296875,49.9
1727655451,418.04296875,53.2
1727655451,418.04296875,50.0
1727655451,418.04296875,47.2
1727655453,418.10546875,49.9
1727655453,418.10546875,36.4
1727655453,418.10546875,51.1
1727655453,418.10546875,42.4
1727655455,418.10546875,49.9
1727655455,418.10546875,55.3
1727655455,418.10546875,50.2
1727655455,418.10546875,40.6
1727655457,418.10546875,49.9
1727655458,418.10546875,43.6
1727655458,418.10546875,50.7
1727655458,418.10546875,57.8
1727655460,418.10546875,49.8
1727655460,418.10546875,55.6
1727655460,418.10546875,48.9
1727655460,418.10546875,55.6
1727655462,418.10546875,49.9
1727655462,418.10546875,56.5
1727655462,418.10546875,47.9
1727655462,418.10546875,56.8
1727655464,418.10546875,49.9
1727655464,418.10546875,37.1
1727655464,418.10546875,50.2
1727655464,418.10546875,56.5
1727655466,418.10546875,49.8
1727655466,418.10546875,55.3
1727655466,418.10546875,50.7
1727655466,418.10546875,39.4
1727655469,418.10546875,49.9
1727655469,418.10546875,55.3
1727655469,418.10546875,47.9
1727655469,418.10546875,56.5
1727655471,418.10546875,49.8
1727655471,418.10546875,55.3
1727655471,418.10546875,48.1
1727655471,418.10546875,55.6
1727655473,418.10546875,49.8
1727655473,418.10546875,54.3
1727655473,418.10546875,48.1
1727655473,418.10546875,56.8
1727655475,418.10546875,49.9
1727655475,418.10546875,53.2
1727655475,418.10546875,48.1
1727655475,418.10546875,56.5
1727655477,418.10546875,49.8
1727655477,418.10546875,54.3
1727655477,418.10546875,49.4
1727655477,418.10546875,56.5
1727655496,418.203125,50.2
1727655496,418.203125,54.3
1727655496,418.203125,49.4
1727655496,418.203125,60.0
1727655498,418.203125,49.8
1727655498,418.203125,55.1
1727655498,418.203125,50.2
1727655498,418.203125,37.5
1727655501,418.203125,49.9
1727655501,418.203125,56.2
1727655501,418.203125,49.8
1727655501,418.203125,56.5
1727655503,418.203125,49.9
1727655503,418.203125,36.4
1727655503,418.203125,50.0
1727655503,418.203125,55.6
1727655505,418.203125,49.9
1727655505,418.203125,54.2
1727655505,418.203125,49.4
1727655505,418.203125,53.5
1727655507,418.203125,49.9
1727655507,418.203125,53.1
1727655507,418.203125,50.2
1727655507,418.203125,38.7
1727655509,418.203125,49.9
1727655509,418.203125,36.4
1727655510,418.203125,51.4
1727655510,418.203125,38.7
1727655512,418.203125,49.9
1727655512,418.203125,53.2
1727655512,418.203125,49.1
1727655512,418.203125,57.8
1727655514,418.203125,49.9
1727655514,418.203125,53.2
1727655514,418.203125,51.1
1727655514,418.203125,39.4
1727655516,418.203125,49.9
1727655516,418.203125,53.2
1727655516,418.203125,49.6
1727655516,418.203125,56.5
1727655519,418.203125,49.9
1727655519,418.203125,40.0
1727655519,418.203125,52.0
1727655519,418.203125,37.5
1727655521,418.203125,49.9
1727655521,418.203125,40.0
1727655521,418.203125,51.1
1727655521,418.203125,55.6
1727655523,418.203125,49.9
1727655523,418.203125,53.3
1727655523,418.203125,47.9
1727655523,418.203125,58.7
1727655525,418.203125,49.9
1727655525,418.203125,56.5
1727655525,418.203125,50.2
1727655525,418.203125,38.7
1727655527,418.203125,49.9
1727655527,418.203125,40.5
1727655527,418.203125,50.2
1727655527,418.203125,56.8
1727655530,418.203125,49.7
1727655530,418.203125,41.7
1727655530,418.203125,50.0
1727655530,418.203125,57.8
1727655532,418.203125,49.9
1727655532,418.203125,39.4
1727655532,418.203125,49.4
1727655532,418.203125,56.5
1727655534,418.203125,49.9
1727655534,418.203125,54.3
1727655534,418.203125,50.4
1727655534,418.203125,55.8
1727655536,418.203125,49.9
1727655536,418.203125,39.4
1727655536,418.203125,50.0
1727655536,418.203125,56.5
1727655559,416.40234375,50.2
1727655559,416.40234375,54.3
1727655559,416.40234375,49.2
1727655559,416.40234375,55.6
1727655561,416.40234375,49.8
1727655561,416.40234375,53.2
1727655561,416.40234375,49.6
1727655561,416.40234375,57.8
1727655563,416.40234375,49.9
1727655563,416.40234375,55.6
1727655563,416.40234375,50.0
1727655563,416.40234375,56.8
1727655567,416.5859375,49.9
1727655567,416.5859375,36.4
1727655567,416.5859375,51.8
1727655567,416.5859375,39.4
1727655585,417.03515625,50.2
1727655585,417.03515625,54.2
1727655585,417.03515625,49.4
1727655585,417.03515625,55.8
1727655587,417.0,49.8
1727655587,417.0,37.5
1727655587,417.0,49.8
1727655587,417.0,55.3
1727655589,417.015625,49.9
1727655589,417.015625,35.3
1727655589,417.015625,50.2
1727655589,417.015625,57.8
1727655592,417.02734375,49.8
1727655592,417.02734375,50.0
1727655592,417.02734375,49.1
1727655592,417.02734375,54.3
1727655594,417.02734375,49.9
1727655594,417.02734375,55.1
1727655594,417.02734375,47.7
1727655594,417.02734375,56.5
1727655596,417.02734375,49.8
1727655596,417.02734375,52.1
1727655596,417.02734375,50.8
1727655596,417.02734375,51.3
1727655598,417.796875,49.9
1727655598,417.796875,38.2
1727655598,417.796875,50.9
1727655598,417.796875,55.6
1727655601,417.03125,49.9
1727655601,417.03125,57.4
1727655601,417.03125,50.0
1727655601,417.03125,40.6
1727655603,417.02734375,49.8
1727655603,417.02734375,40.0
1727655603,417.02734375,50.4
1727655603,417.02734375,56.8
1727655605,417.03125,49.9
1727655605,417.03125,54.3
1727655605,417.03125,50.0
1727655605,417.03125,37.1
1727655608,417.03515625,49.9
1727655608,417.03515625,40.0
1727655608,417.03515625,50.0
1727655608,417.03515625,57.8
1727655610,417.03125,49.9
1727655610,417.03125,36.4
1727655610,417.03125,51.1
1727655610,417.03125,39.4
1727655612,417.03125,49.9
1727655612,417.03125,38.2
1727655612,417.03125,50.2
1727655612,417.03125,56.8
1727655614,417.03515625,49.9
1727655614,417.03515625,37.1
1727655614,417.03515625,50.4
1727655614,417.03515625,49.0
1727655617,417.00390625,49.9
1727655617,417.00390625,55.3
1727655617,417.00390625,48.9
1727655617,417.00390625,58.7
1727655619,417.0390625,49.9
1727655619,417.0390625,53.2
1727655619,417.0390625,49.2
1727655619,417.0390625,50.0
1727655621,417.03515625,49.9
1727655621,417.03515625,55.3
1727655621,417.03515625,50.2
1727655621,417.03515625,42.4
1727655623,417.03515625,49.8
1727655623,417.03515625,54.3
1727655623,417.03515625,49.4
1727655623,417.03515625,57.4
1727655626,417.0390625,49.8
1727655626,417.0390625,55.1
1727655626,417.0390625,49.4
1727655626,417.0390625,51.2
1727655628,417.8125,49.9
1727655628,417.8125,47.5
1727655628,417.8125,49.6
1727655628,417.8125,55.6
1727655630,417.03125,49.8
1727655630,417.03125,54.2
1727655630,417.03125,50.0
1727655630,417.03125,37.5
1727655632,417.03515625,49.8
1727655632,417.03515625,38.2
1727655632,417.03515625,52.2
1727655632,417.03515625,37.5
1727655635,417.03515625,49.9
1727655635,417.03515625,55.3
1727655635,417.03515625,49.1
1727655635,417.03515625,52.1
1727655637,417.0390625,49.9
1727655637,417.0390625,53.2
1727655637,417.0390625,48.7
1727655637,417.0390625,54.3
1727655642,417.0546875,49.7
1727655642,417.0546875,39.4
1727655642,417.0546875,49.8
1727655642,417.0546875,56.5
1727655644,417.05078125,49.9
1727655644,417.05078125,37.5
1727655644,417.05078125,51.4
1727655644,417.05078125,37.1
1727655646,417.05078125,49.9
1727655646,417.05078125,54.2
1727655646,417.05078125,49.1
1727655646,417.05078125,57.4
1727655649,417.02734375,49.9
1727655649,417.02734375,57.4
1727655649,417.02734375,48.5
1727655649,417.02734375,56.3
1727655651,417.046875,49.9
1727655651,417.046875,54.3
1727655651,417.046875,50.0
1727655651,417.046875,40.6
1727655653,417.05078125,49.9
1727655653,417.05078125,53.2
1727655653,417.05078125,50.0
1727655653,417.05078125,42.4
1727655656,417.05078125,49.9
1727655656,417.05078125,54.2
1727655656,417.05078125,49.4
1727655656,417.05078125,56.5
1727655658,417.05078125,49.8
1727655658,417.05078125,53.2
1727655658,417.05078125,49.2
1727655658,417.05078125,57.4
1727655660,417.8203125,49.9
1727655660,417.8203125,51.0
1727655660,417.8203125,50.2
1727655660,417.8203125,56.8
1727655664,417.05859375,49.9
1727655664,417.05859375,43.6
1727655664,417.05859375,50.4
1727655664,417.05859375,54.3
1727655681,415.15625,50.1
1727655681,415.15625,38.2
1727655681,415.15625,50.0
1727655681,415.15625,56.5
1727655697,411.64453125,50.1
1727655697,411.64453125,54.2
1727655697,411.64453125,49.4
1727655697,411.64453125,55.6
1727655699,411.64453125,49.8
1727655699,411.64453125,56.3
1727655699,411.64453125,49.1
1727655699,411.64453125,38.2
1727655701,411.64453125,49.9
1727655701,411.64453125,54.3
1727655701,411.64453125,49.4
1727655701,411.64453125,55.6
1727655704,411.64453125,49.9
1727655704,411.64453125,36.1
1727655704,411.64453125,50.8
1727655704,411.64453125,50.0
1727655707,412.75390625,49.9
1727655707,412.75390625,54.3
1727655707,412.75390625,50.0
1727655707,412.75390625,41.2
1727655727,416.1796875,50.2
1727655727,416.1796875,58.3
1727655727,416.1796875,50.2
1727655727,416.1796875,39.4
1727655729,416.1796875,49.9
1727655729,416.1796875,40.0
1727655729,416.1796875,49.6
1727655729,416.1796875,57.4
1727655731,416.1796875,49.9
1727655731,416.1796875,53.2
1727655731,416.1796875,50.2
1727655731,416.1796875,39.4
1727655734,415.8359375,49.9
1727655734,415.8359375,47.2
1727655734,415.8359375,51.4
1727655734,415.8359375,39.4
1727655736,416.0390625,49.9
1727655736,416.0390625,37.1
1727655736,416.0390625,51.8
1727655736,416.0390625,38.7
1727655738,416.0390625,49.9
1727655738,416.0390625,54.3
1727655738,416.0390625,49.4
1727655738,416.0390625,57.4
1727655740,416.0390625,49.9
1727655740,416.0390625,53.2
1727655740,416.0390625,49.6
1727655740,416.0390625,54.3
1727655743,416.0390625,49.9
1727655743,416.0390625,48.8
1727655743,416.0390625,50.8
1727655743,416.0390625,39.4
1727655745,416.0390625,49.9
1727655745,416.0390625,36.4
1727655745,416.0390625,50.0
1727655745,416.0390625,58.7
1727655747,416.0390625,49.8
1727655747,416.0390625,54.3
1727655747,416.0390625,50.4
1727655747,416.0390625,39.4
1727655750,416.0390625,49.9
1727655750,416.0390625,36.4
1727655750,416.0390625,51.8
1727655750,416.0390625,37.5
1727655752,416.0390625,49.9
1727655752,416.0390625,55.3
1727655752,416.0390625,49.4
1727655752,416.0390625,41.2
1727655754,416.0390625,49.9
1727655754,416.0390625,38.2
1727655754,416.0390625,50.8
1727655754,416.0390625,45.9
1727655757,416.0390625,49.9
1727655757,416.0390625,38.2
1727655757,416.0390625,52.0
1727655757,416.0390625,40.6
1727655759,416.0390625,49.9
1727655759,416.0390625,38.9
1727655759,416.0390625,52.0
1727655759,416.0390625,39.4
1727655761,416.0390625,49.9
1727655761,416.0390625,48.8
1727655761,416.0390625,49.8
1727655761,416.0390625,56.8
1727655764,416.0390625,49.9
1727655764,416.0390625,41.7
1727655764,416.0390625,51.2
1727655764,416.0390625,38.7
1727655766,416.0390625,49.9
1727655766,416.0390625,52.1
1727655766,416.0390625,49.6
1727655766,416.0390625,57.8
1727655768,416.0390625,49.9
1727655768,416.0390625,49.1
1727655768,416.0390625,51.4
1727655768,416.0390625,40.6
1727655770,416.0390625,49.9
1727655770,416.0390625,53.1
1727655770,416.0390625,49.1
1727655770,416.0390625,56.8
1727655773,416.0390625,49.9
1727655773,416.0390625,55.3
1727655773,416.0390625,50.0
1727655773,416.0390625,40.6
1727655775,416.0390625,49.9
1727655775,416.0390625,55.3
1727655775,416.0390625,50.0
1727655775,416.0390625,45.7
1727655777,416.0390625,49.9
1727655777,416.0390625,55.3
1727655777,416.0390625,50.0
1727655777,416.0390625,40.6
1727655780,416.0390625,49.9
1727655780,416.0390625,57.4
1727655780,416.0390625,48.5
1727655780,416.0390625,56.5
1727655782,416.04296875,49.9
1727655782,416.04296875,54.2
1727655782,416.04296875,50.0
1727655782,416.04296875,39.4
1727655784,416.04296875,49.9
1727655784,416.04296875,41.2
1727655784,416.04296875,49.4
1727655784,416.04296875,58.7
1727655786,416.04296875,49.8
1727655786,416.04296875,54.3
1727655786,416.04296875,49.6
1727655786,416.04296875,57.8
1727655789,416.04296875,49.9
1727655789,416.04296875,56.5
1727655789,416.04296875,50.2
1727655789,416.04296875,39.4
1727655791,416.04296875,49.9
1727655791,416.04296875,54.3
1727655791,416.04296875,50.7
1727655791,416.04296875,37.5
1727655793,416.04296875,49.9
1727655793,416.04296875,41.0
1727655793,416.04296875,49.8
1727655793,416.04296875,53.2
1727655795,416.04296875,49.9
1727655795,416.04296875,55.3
1727655795,416.04296875,48.7
1727655795,416.04296875,57.8
1727655799,416.140625,49.9
1727655799,416.140625,38.2
1727655799,416.140625,50.0
1727655799,416.140625,56.5
1727655818,418.89453125,50.2
1727655818,418.89453125,38.2
1727655818,418.89453125,52.0
1727655818,418.89453125,39.4
1727655839,412.8984375,50.2
1727655839,412.8984375,58.7
1727655839,412.8984375,49.6
1727655839,412.8984375,56.8
1727655855,420.03125,50.1
1727655855,420.03125,54.3
1727655855,420.03125,49.8
1727655855,420.03125,55.6
1727655857,420.03125,49.9
1727655857,420.03125,36.4
1727655857,420.03125,52.1
1727655857,420.03125,41.2
1727655860,420.03125,49.9
1727655860,420.03125,53.2
1727655860,420.03125,48.9
1727655860,420.03125,56.5
1727655862,420.21484375,49.8
1727655862,420.21484375,52.0
1727655862,420.21484375,49.6
1727655862,420.21484375,55.6
1727655865,420.21484375,49.9
1727655865,420.21484375,38.2
1727655865,420.21484375,51.8
1727655865,420.21484375,38.7
1727655867,420.21484375,49.9
1727655867,420.21484375,37.1
1727655867,420.21484375,51.0
1727655867,420.21484375,52.5
1727655869,420.21484375,49.9
1727655869,420.21484375,51.0
1727655869,420.21484375,49.6
1727655869,420.21484375,53.5
1727655872,420.21484375,49.9
1727655872,420.21484375,43.6
1727655872,420.21484375,51.4
1727655872,420.21484375,39.4
1727655874,420.21484375,49.9
1727655874,420.21484375,54.3
1727655874,420.21484375,49.4
1727655874,420.21484375,48.8
1727655876,420.21484375,49.9
1727655876,420.21484375,38.2
1727655876,420.21484375,49.8
1727655876,420.21484375,55.6
1727655879,420.21484375,49.9
1727655879,420.21484375,38.2
1727655879,420.21484375,52.0
1727655879,420.21484375,40.6
1727655881,420.21484375,49.9
1727655881,420.21484375,55.1
1727655881,420.21484375,49.6
1727655881,420.21484375,50.0
1727655883,420.21484375,49.9
1727655883,420.21484375,47.9
1727655883,420.21484375,50.4
1727655883,420.21484375,37.5
1727655886,420.21484375,49.9
1727655886,420.21484375,50.0
1727655886,420.21484375,50.6
1727655886,420.21484375,54.2
1727655888,420.21484375,49.9
1727655888,420.21484375,36.4
1727655888,420.21484375,51.0
1727655888,420.21484375,39.4
1727655890,420.21484375,49.9
1727655890,420.21484375,36.4
1727655890,420.21484375,51.8
1727655890,420.21484375,42.4
1727655893,420.21484375,49.9
1727655893,420.21484375,53.6
1727655893,420.21484375,49.8
1727655893,420.21484375,50.9
1727655895,420.21484375,49.9
1727655895,420.21484375,53.2
1727655895,420.21484375,48.7
1727655895,420.21484375,56.8
1727655897,420.21484375,49.9
1727655897,420.21484375,51.2
1727655897,420.21484375,50.6
1727655897,420.21484375,40.6
1727655900,420.21484375,49.9
1727655900,420.21484375,51.2
1727655900,420.21484375,49.0
1727655900,420.21484375,56.8
1727655902,420.21484375,49.9
1727655902,420.21484375,36.4
1727655902,420.21484375,52.4
1727655902,420.21484375,40.6
1727655904,420.21484375,49.9
1727655904,420.21484375,53.2
1727655904,420.21484375,50.0
1727655904,420.21484375,40.6
1727655907,420.21484375,49.9
1727655907,420.21484375,40.0
1727655907,420.21484375,50.2
1727655907,420.21484375,57.4
1727655909,420.21484375,49.9
1727655909,420.21484375,54.3
1727655909,420.21484375,49.4
1727655909,420.21484375,40.0
1727655911,420.21484375,49.9
1727655911,420.21484375,55.3
1727655911,420.21484375,50.0
1727655911,420.21484375,39.4
1727655914,420.21484375,49.9
1727655914,420.21484375,54.2
1727655914,420.21484375,50.0
1727655914,420.21484375,41.2
1727655916,420.21484375,49.9
1727655916,420.21484375,36.4
1727655916,420.21484375,50.7
1727655916,420.21484375,55.6
1727655956,417.078125,50.2
1727655956,417.078125,38.2
1727655956,417.078125,52.2
1727655956,417.078125,42.4
1727655958,417.078125,49.9
1727655958,417.078125,56.3
1727655958,417.078125,49.8
1727655958,417.078125,51.3
1727655961,417.078125,49.9
1727655961,417.078125,50.0
1727655961,417.078125,50.6
1727655961,417.078125,39.4
1727655963,417.078125,49.8
1727655963,417.078125,38.2
1727655963,417.078125,51.4
1727655963,417.078125,54.3
1727655966,417.078125,49.9
1727655966,417.078125,54.3
1727655966,417.078125,50.6
1727655966,417.078125,40.6
1727655968,417.078125,49.9
1727655968,417.078125,55.3
1727655968,417.078125,50.8
1727655968,417.078125,40.6
1727655970,417.078125,49.9
1727655970,417.078125,36.4
1727655970,417.078125,51.6
1727655970,417.078125,40.6
1727655973,417.078125,49.9
1727655973,417.078125,54.3
1727655973,417.078125,49.1
1727655973,417.078125,46.3
1727655976,417.10546875,49.9
1727655976,417.10546875,54.3
1727655976,417.10546875,49.6
1727655976,417.10546875,38.2
1727656014,419.09375,50.2
1727656014,419.09375,51.2
1727656014,419.09375,49.6
1727656014,419.09375,56.8
1727656051,413.2890625,50.2
1727656051,413.2890625,57.4
1727656051,413.2890625,49.6
1727656051,413.2890625,51.3
1727656054,415.1015625,49.9
1727656054,415.1015625,38.2
1727656054,415.1015625,52.0
1727656054,415.1015625,37.5
1727656080,412.58203125,50.2
1727656080,412.58203125,56.5
1727656080,412.58203125,48.5
1727656080,412.58203125,56.5
1727656121,418.0546875,50.2
1727656121,418.0546875,50.0
1727656121,418.0546875,50.6
1727656121,418.0546875,54.3
1727656123,418.0625,49.9
1727656123,418.0625,56.3
1727656123,418.0625,48.3
1727656123,418.0625,55.6
1727656126,418.06640625,49.9
1727656126,418.06640625,37.8
1727656126,418.06640625,50.8
1727656126,418.06640625,54.5
1727656128,417.9609375,49.9
1727656128,417.9609375,47.5
1727656128,417.9609375,50.4
1727656128,417.9609375,40.6
1727656131,418.04296875,49.9
1727656131,418.04296875,53.2
1727656131,418.04296875,48.5
1727656131,418.04296875,57.8
1727656133,418.0703125,49.9
1727656133,418.0703125,54.2
1727656133,418.0703125,50.8
1727656133,418.0703125,39.4
1727656135,418.05078125,49.9
1727656135,418.05078125,40.0
1727656135,418.05078125,51.2
1727656135,418.05078125,42.4
1727656138,418.06640625,49.9
1727656138,418.06640625,55.3
1727656138,418.06640625,48.8
1727656138,418.06640625,54.8
1727656141,418.0703125,49.9
1727656141,418.0703125,36.1
1727656141,418.0703125,51.6
1727656141,418.0703125,41.2
1727656143,418.05859375,49.9
1727656143,418.05859375,48.8
1727656143,418.05859375,50.8
1727656143,418.05859375,41.2
1727656145,418.07421875,49.9
1727656145,418.07421875,47.7
1727656145,418.07421875,50.8
1727656145,418.07421875,50.0
1727656148,418.07421875,49.9
1727656148,418.07421875,54.3
1727656148,418.07421875,49.1
1727656148,418.07421875,40.6
1727656150,418.07421875,49.9
1727656150,418.07421875,40.0
1727656150,418.07421875,49.6
1727656150,418.07421875,56.8
1727656153,418.0234375,49.9
1727656153,418.0234375,38.2
1727656153,418.0234375,51.0
1727656153,418.0234375,38.7
1727656155,418.07421875,50.0
1727656155,418.07421875,41.7
1727656155,418.07421875,50.2
1727656155,418.07421875,53.2
1727656158,418.0625,49.9
1727656158,418.0625,38.2
1727656158,418.0625,50.6
1727656158,418.0625,53.2
1727656160,418.05859375,49.9
1727656160,418.05859375,50.0
1727656160,418.05859375,51.0
1727656160,418.05859375,40.6
1727656163,418.0625,49.9
1727656163,418.0625,48.7
1727656163,418.0625,48.9
1727656163,418.0625,54.2
1727656165,418.0625,49.9
1727656165,418.0625,54.3
1727656165,418.0625,49.1
1727656165,418.0625,56.8
1727656167,417.95703125,49.9
1727656167,417.95703125,45.9
1727656167,417.95703125,49.1
1727656167,417.95703125,56.5
1727656170,418.05859375,49.9
1727656170,418.05859375,53.2
1727656170,418.05859375,49.6
1727656170,418.05859375,56.8
1727656172,417.95703125,49.9
1727656172,417.95703125,54.3
1727656172,417.95703125,50.8
1727656172,417.95703125,35.3
1727656175,418.0625,49.9
1727656175,418.0625,40.0
1727656175,418.0625,51.2
1727656175,418.0625,41.2
1727656177,417.96875,49.9
1727656177,417.96875,38.2
1727656177,417.96875,51.4
1727656177,417.96875,39.4
1727656180,418.0625,49.9
1727656180,418.0625,52.1
1727656180,418.0625,51.0
1727656180,418.0625,40.6
1727656182,418.0625,49.9
1727656182,418.0625,55.3
1727656182,418.0625,48.9
1727656182,418.0625,56.5
1727656184,418.078125,49.9
1727656184,418.078125,54.3
1727656184,418.078125,49.2
1727656184,418.078125,51.3
1727656187,417.953125,49.9
1727656187,417.953125,50.0
1727656187,417.953125,49.1
1727656187,417.953125,57.8
1727656189,418.0625,49.9
1727656189,418.0625,56.5
1727656189,418.0625,48.9
1727656189,418.0625,56.5
1727656192,417.953125,49.9
1727656192,417.953125,40.0
1727656192,417.953125,51.4
1727656192,417.953125,40.6
1727656194,418.0625,49.9
1727656194,418.0625,54.2
1727656194,418.0625,50.8
1727656194,418.0625,37.5
1727656197,418.05078125,49.9
1727656197,418.05078125,36.4
1727656197,418.05078125,50.8
1727656197,418.05078125,55.6
1727656199,418.05859375,49.9
1727656199,418.05859375,54.2
1727656199,418.05859375,49.4
1727656199,418.05859375,57.8
1727656202,418.0625,49.9
1727656202,418.0625,51.2
1727656202,418.0625,49.8
1727656202,418.0625,55.6
1727656204,418.05859375,49.9
1727656204,418.05859375,52.4
1727656204,418.05859375,49.8
1727656204,418.05859375,39.4
1727656206,418.0625,49.9
1727656206,418.0625,57.4
1727656206,418.0625,48.9
1727656206,418.0625,55.6
1727656209,418.0625,49.9
1727656209,418.0625,39.4
1727656209,418.0625,50.0
1727656209,418.0625,55.6
1727656211,418.06640625,49.9
1727656211,418.06640625,54.3
1727656211,418.06640625,49.1
1727656211,418.06640625,56.5
1727656214,418.08203125,49.9
1727656214,418.08203125,54.3
1727656214,418.08203125,49.6
1727656214,418.08203125,56.8
1727656216,418.0625,49.9
1727656216,418.0625,55.3
1727656216,418.0625,49.4
1727656216,418.0625,52.6
1727656218,418.0625,49.9
1727656218,418.0625,54.2
1727656219,418.0625,50.2
1727656219,418.0625,39.4
1727656221,418.06640625,49.9
1727656221,418.06640625,55.3
1727656221,418.06640625,49.6
1727656221,418.06640625,38.7
1727656223,418.0625,49.9
1727656223,418.0625,54.3
1727656223,418.0625,49.6
1727656223,418.0625,56.8
1727656226,418.06640625,49.9
1727656226,418.06640625,39.4
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1727656226,418.06640625,45.7
1727656228,418.06640625,49.9
1727656228,418.06640625,43.9
1727656228,418.06640625,50.1
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1727656230,418.0625,49.9
1727656230,418.0625,57.4
1727656230,418.0625,49.6
1727656230,418.0625,37.5
1727656233,418.06640625,49.9
1727656233,418.06640625,39.4
1727656233,418.06640625,52.0
1727656233,418.06640625,41.2
1727656235,418.06640625,49.9
1727656235,418.06640625,46.3
1727656235,418.06640625,51.4
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1727656238,418.078125,49.9
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1727656243,418.078125,38.7
1727656245,418.0625,49.9
1727656245,418.0625,47.5
1727656245,418.0625,49.6
1727656245,418.0625,55.6
1727656247,418.06640625,49.9
1727656247,418.06640625,55.6
1727656247,418.06640625,47.7
1727656247,418.06640625,56.8
1727656250,418.0625,49.9
1727656250,418.0625,36.1
1727656250,418.0625,52.2
1727656250,418.0625,37.5
1727656252,418.0625,49.9
1727656252,418.0625,50.0
1727656252,418.0625,50.2
1727656252,418.0625,40.6
1727656255,418.06640625,49.9
1727656255,418.06640625,38.2
1727656255,418.06640625,51.2
1727656255,418.06640625,42.4
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1727656257,418.0703125,51.4
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1727656259,418.0703125,49.9
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1727656259,418.0703125,40.6
1727656262,418.05078125,49.9
1727656262,418.05078125,50.0
1727656262,418.05078125,49.8
1727656262,418.05078125,56.8
1727656264,418.06640625,49.9
1727656264,418.06640625,55.6
1727656264,418.06640625,49.1
1727656264,418.06640625,44.1
1727656267,418.0703125,49.9
1727656267,418.0703125,55.6
1727656267,418.0703125,49.2
1727656267,418.0703125,54.8
1727656286,418.8203125,50.1
1727656286,418.8203125,37.5
1727656286,418.8203125,51.2
1727656286,418.8203125,38.7
1727656288,418.78125,49.9
1727656288,418.78125,41.2
1727656288,418.78125,51.4
1727656288,418.78125,39.4
1727656291,418.79296875,49.9
1727656291,418.79296875,55.3
1727656291,418.79296875,49.8
1727656291,418.79296875,56.5
1727656293,418.68359375,49.9
1727656293,418.68359375,55.3
1727656293,418.68359375,49.4
1727656293,418.68359375,55.6
1727656296,418.796875,49.9
1727656296,418.796875,54.3
1727656296,418.796875,50.0
1727656296,418.796875,48.7
1727656298,418.78125,49.9
1727656298,418.78125,54.2
1727656298,418.78125,49.6
1727656298,418.78125,55.6
1727656301,418.796875,49.9
1727656301,418.796875,38.2
1727656301,418.796875,51.2
1727656301,418.796875,39.4
1727656303,418.79296875,49.9
1727656303,418.79296875,56.5
1727656303,418.79296875,47.7
1727656303,418.79296875,55.6
1727656306,418.796875,49.9
1727656306,418.796875,47.5
1727656306,418.796875,50.2
1727656306,418.796875,55.6
1727656308,418.7890625,49.9
1727656308,418.7890625,56.5
1727656308,418.7890625,50.0
1727656308,418.7890625,39.4
1727656311,418.796875,49.9
1727656311,418.796875,36.4
1727656311,418.796875,50.8
1727656311,418.796875,53.7
1727656313,418.6953125,49.9
1727656313,418.6953125,52.0
1727656313,418.6953125,48.7
1727656313,418.6953125,53.1
1727656315,418.80078125,49.9
1727656315,418.80078125,56.2
1727656315,418.80078125,48.9
1727656315,418.80078125,52.5
1727656318,418.7578125,49.9
1727656318,418.7578125,38.2
1727656318,418.7578125,50.6
1727656318,418.7578125,56.8
1727656320,418.80078125,49.9
1727656320,418.80078125,51.0
1727656320,418.80078125,48.9
1727656320,418.80078125,56.8
1727656323,418.7890625,49.9
1727656323,418.7890625,55.6
1727656323,418.7890625,47.9
1727656323,418.7890625,55.6
1727656325,418.8046875,49.9
1727656325,418.8046875,38.2
1727656325,418.8046875,51.6
1727656325,418.8046875,38.7
1727656328,418.796875,49.9
1727656328,418.796875,53.2
1727656328,418.796875,48.3
1727656328,418.796875,53.5
1727656330,418.8046875,49.9
1727656330,418.8046875,53.1
1727656330,418.8046875,48.1
1727656330,418.8046875,59.1
1727656333,418.703125,49.9
1727656333,418.703125,53.2
1727656333,418.703125,49.1
1727656333,418.703125,57.8
1727656335,418.8046875,49.9
1727656335,418.8046875,56.5
1727656335,418.8046875,48.9
1727656335,418.8046875,56.8
1727656337,418.703125,49.9
1727656337,418.703125,57.8
1727656337,418.703125,48.5
1727656337,418.703125,55.6
1727656340,418.8046875,49.9
1727656340,418.8046875,36.4
1727656340,418.8046875,51.6
1727656340,418.8046875,38.7
1727656342,418.80078125,49.9
1727656342,418.80078125,54.3
1727656342,418.80078125,49.8
1727656342,418.80078125,42.4
1727656345,418.80078125,49.9
1727656345,418.80078125,42.1
1727656345,418.80078125,51.6
1727656345,418.80078125,38.7
1727656347,418.765625,49.9
1727656347,418.765625,55.3
1727656347,418.765625,48.3
1727656347,418.765625,56.5
1727656350,418.80859375,49.9
1727656350,418.80859375,55.6
1727656350,418.80859375,48.9
1727656350,418.80859375,40.6
1727656352,418.80859375,49.9
1727656352,418.80859375,39.4
1727656352,418.80859375,51.2
1727656352,418.80859375,44.1
1727656354,418.8046875,49.9
1727656354,418.8046875,46.2
1727656354,418.8046875,50.6
1727656354,418.8046875,40.6
1727656357,418.703125,49.9
1727656357,418.703125,51.0
1727656357,418.703125,49.1
1727656357,418.703125,47.2
1727656359,418.8125,49.9
1727656359,418.8125,39.5
1727656359,418.8125,51.0
1727656359,418.8125,53.5
1727656362,418.796875,49.9
1727656362,418.796875,36.4
1727656362,418.796875,51.0
1727656362,418.796875,37.5
1727656364,418.80859375,49.9
1727656364,418.80859375,54.3
1727656364,418.80859375,50.6
1727656364,418.80859375,38.7
1727656367,418.70703125,49.9
1727656367,418.70703125,53.2
1727656367,418.70703125,49.4
1727656367,418.70703125,56.5
1727656369,418.80859375,49.9
1727656369,418.80859375,55.3
1727656369,418.80859375,49.8
1727656369,418.80859375,52.4
1727656371,418.80859375,49.9
1727656371,418.80859375,53.2
1727656371,418.80859375,49.2
1727656371,418.80859375,52.1
1727656374,418.8046875,49.9
1727656374,418.8046875,54.2
1727656374,418.8046875,48.7
1727656374,418.8046875,57.8
1727656376,418.8125,49.9
1727656376,418.8125,38.2
1727656376,418.8125,50.8
1727656376,418.8125,56.8
1727656379,418.8125,49.9
1727656379,418.8125,39.4
1727656379,418.8125,50.6
1727656379,418.8125,55.6
1727656381,418.70703125,49.9
1727656381,418.70703125,55.3
1727656381,418.70703125,50.0
1727656381,418.70703125,37.5
1727656384,418.8125,49.9
1727656384,418.8125,53.2
1727656384,418.8125,50.6
1727656384,418.8125,38.2
1727656386,418.69921875,49.9
1727656386,418.69921875,54.3
1727656386,418.69921875,48.5
1727656386,418.69921875,56.5
1727656389,418.81640625,49.9
1727656389,418.81640625,55.1
1727656389,418.81640625,48.1
1727656389,418.81640625,56.5
1727656391,418.81640625,49.9
1727656391,418.81640625,38.2
1727656391,418.81640625,51.0
1727656391,418.81640625,40.6
1727656394,418.80859375,49.9
1727656394,418.80859375,38.2
1727656394,418.80859375,50.6
1727656394,418.80859375,52.4
1727656396,418.80859375,49.9
1727656396,418.80859375,53.2
1727656396,418.80859375,49.4
1727656396,418.80859375,47.2
1727656399,418.8125,49.9
1727656399,418.8125,54.2
1727656399,418.8125,50.2
1727656399,418.8125,39.4
1727656401,418.7109375,49.9
1727656401,418.7109375,38.2
1727656401,418.7109375,51.8
1727656401,418.7109375,37.5
1727656403,418.8125,49.9
1727656403,418.8125,56.5
1727656403,418.8125,49.4
1727656403,418.8125,56.8
1727656406,418.8125,49.9
1727656406,418.8125,54.3
1727656406,418.8125,49.6
1727656406,418.8125,40.6
1727656408,418.80859375,49.9
1727656408,418.80859375,53.2
1727656408,418.80859375,49.8
1727656408,418.80859375,46.2
1727656411,418.80859375,49.9
1727656411,418.80859375,56.5
1727656411,418.80859375,48.5
1727656411,418.80859375,57.8
1727656413,418.8125,49.9
1727656413,418.8125,57.4
1727656413,418.8125,49.1
1727656413,418.8125,57.4
1727656415,418.8046875,49.9
1727656415,418.8046875,54.3
1727656415,418.8046875,51.0
1727656415,418.8046875,39.4
1727656418,418.80859375,49.9
1727656418,418.80859375,36.4
1727656418,418.80859375,50.0
1727656418,418.80859375,54.8
1727656420,418.6953125,49.9
1727656420,418.6953125,55.6
1727656420,418.6953125,49.6
1727656420,418.6953125,44.4
1727656423,418.8125,49.9
1727656423,418.8125,56.5
1727656423,418.8125,49.8
1727656423,418.8125,40.6
1727656425,418.8125,49.9
1727656425,418.8125,54.3
1727656425,418.8125,49.1
1727656425,418.8125,56.5
1727656428,418.8125,49.9
1727656428,418.8125,56.5
1727656428,418.8125,48.9
1727656428,418.8125,56.5
1727656430,418.8125,49.9
1727656430,418.8125,43.2
1727656430,418.8125,51.4
1727656430,418.8125,43.8
1727656472,419.75390625,50.2
1727656472,419.75390625,38.2
1727656472,419.75390625,51.4
1727656472,419.75390625,42.9
1727656475,419.75390625,49.9
1727656475,419.75390625,54.3
1727656475,419.75390625,50.4
1727656475,419.75390625,37.5
1727656477,419.75390625,49.9
1727656477,419.75390625,55.3
1727656477,419.75390625,48.3
1727656477,419.75390625,58.7
1727656480,419.75390625,49.9
1727656480,419.75390625,38.2
1727656480,419.75390625,50.8
1727656480,419.75390625,57.8
1727656482,419.75390625,49.9
1727656482,419.75390625,51.9
1727656482,419.75390625,48.1
1727656482,419.75390625,56.8
1727656485,419.75390625,49.9
1727656485,419.75390625,54.2
1727656485,419.75390625,50.2
1727656485,419.75390625,42.4
1727656488,419.75390625,49.9
1727656488,419.75390625,49.0
1727656488,419.75390625,50.6
1727656488,419.75390625,56.5
1727656507,418.875,50.1
1727656507,418.875,36.4
1727656507,418.875,51.4
1727656507,418.875,42.4
1727656509,418.875,49.9
1727656509,418.875,51.2
1727656509,418.875,51.2
1727656509,418.875,38.7
1727656512,418.875,49.9
1727656512,418.875,55.6
1727656512,418.875,50.8
1727656512,418.875,36.4
1727656514,418.875,49.9
1727656514,418.875,55.6
1727656514,418.875,50.8
1727656514,418.875,47.2
1727656517,418.875,49.9
1727656517,418.875,54.3
1727656517,418.875,48.5
1727656517,418.875,55.3
1727656519,418.875,49.9
1727656519,418.875,52.3
1727656519,418.875,50.6
1727656519,418.875,48.7
1727656522,418.875,49.9
1727656522,418.875,55.6
1727656522,418.875,48.9
1727656522,418.875,54.2
1727656524,418.875,49.9
1727656524,418.875,51.2
1727656524,418.875,49.8
1727656524,418.875,55.6
1727656527,418.875,49.9
1727656527,418.875,55.6
1727656527,418.875,49.4
1727656527,418.875,55.6
1727656529,418.875,49.9
1727656529,418.875,47.4
1727656529,418.875,50.2
1727656529,418.875,45.9
1727656532,418.875,49.9
1727656532,418.875,55.3
1727656532,418.875,48.8
1727656532,418.875,52.5
1727656534,418.875,49.9
1727656534,418.875,52.1
1727656534,418.875,50.8
1727656534,418.875,40.6
1727656537,418.875,49.9
1727656537,418.875,55.3
1727656537,418.875,50.6
1727656537,418.875,40.6
1727656539,418.875,49.9
1727656539,418.875,37.5
1727656539,418.875,51.2
1727656539,418.875,54.3
1727656542,418.875,49.9
1727656542,418.875,54.2
1727656542,418.875,50.6
1727656542,418.875,44.1
1727656544,418.875,49.9
1727656544,418.875,48.8
1727656544,418.875,50.0
1727656544,418.875,54.8
1727656547,418.875,49.9
1727656547,418.875,37.1
1727656547,418.875,51.0
1727656547,418.875,52.0
1727656568,420.19921875,50.2
1727656568,420.19921875,50.0
1727656568,420.19921875,50.4
1727656568,420.19921875,57.8
1727656570,420.19921875,49.9
1727656570,420.19921875,38.2
1727656570,420.19921875,51.6
1727656570,420.19921875,39.4
1727656573,420.19921875,49.9
1727656573,420.19921875,43.2
1727656573,420.19921875,49.6
1727656573,420.19921875,58.7
1727656575,420.19921875,49.9
1727656575,420.19921875,55.6
1727656575,420.19921875,48.3
1727656575,420.19921875,57.4
1727656579,420.19921875,49.9
1727656579,420.19921875,54.3
1727656579,420.19921875,48.5
1727656579,420.19921875,56.8
1727656604,414.46875,50.2
1727656604,414.46875,54.3
1727656604,414.46875,50.4
1727656604,414.46875,39.4
1727656624,420.09765625,50.2
1727656624,420.09765625,37.1
1727656624,420.09765625,50.6
1727656624,420.09765625,55.6
1727656627,420.09765625,49.9
1727656627,420.09765625,54.3
1727656627,420.09765625,50.6
1727656627,420.09765625,38.7
1727656629,420.09765625,49.9
1727656629,420.09765625,52.3
1727656629,420.09765625,48.7
1727656629,420.09765625,56.5
1727656632,420.09765625,49.9
1727656632,420.09765625,40.0
1727656632,420.09765625,50.4
1727656632,420.09765625,58.7
1727656634,420.296875,49.9
1727656634,420.296875,55.6
1727656634,420.296875,50.2
1727656634,420.296875,47.2
1727656637,420.296875,49.9
1727656637,420.296875,43.2
1727656637,420.296875,50.8
1727656637,420.296875,40.6
1727656639,420.296875,49.9
1727656639,420.296875,56.5
1727656639,420.296875,48.5
1727656639,420.296875,57.8
1727656642,420.296875,49.9
1727656642,420.296875,56.3
1727656642,420.296875,48.7
1727656642,420.296875,56.8
1727656644,420.296875,49.9
1727656644,420.296875,55.6
1727656644,420.296875,50.8
1727656644,420.296875,41.9
1727656647,420.296875,49.9
1727656647,420.296875,50.0
1727656647,420.296875,49.6
1727656647,420.296875,56.5
1727656649,420.296875,49.9
1727656649,420.296875,36.4
1727656649,420.296875,50.7
1727656649,420.296875,56.8
1727656652,420.296875,49.9
1727656652,420.296875,51.2
1727656652,420.296875,48.8
1727656652,420.296875,57.8
1727656654,420.296875,49.9
1727656654,420.296875,54.3
1727656654,420.296875,50.4
1727656654,420.296875,45.7
1727656657,420.296875,49.9
1727656657,420.296875,41.2
1727656657,420.296875,50.8
1727656657,420.296875,40.6
1727656659,420.296875,49.9
1727656659,420.296875,54.3
1727656659,420.296875,48.9
1727656659,420.296875,56.8
1727656662,420.296875,49.9
1727656662,420.296875,46.2
1727656662,420.296875,49.4
1727656662,420.296875,56.5
1727656664,420.296875,49.9
1727656664,420.296875,54.3
1727656664,420.296875,49.1
1727656664,420.296875,57.8
1727656667,420.296875,49.9
1727656667,420.296875,53.2
1727656667,420.296875,49.0
1727656667,420.296875,54.3
1727656669,420.296875,49.9
1727656669,420.296875,54.3
1727656669,420.296875,48.6
1727656669,420.296875,54.5
1727656672,420.296875,49.9
1727656672,420.296875,41.2
1727656672,420.296875,50.0
1727656672,420.296875,58.7
1727656674,420.296875,49.9
1727656674,420.296875,38.2
1727656674,420.296875,50.4
1727656674,420.296875,55.3
1727656677,420.296875,49.9
1727656677,420.296875,53.1
1727656677,420.296875,48.3
1727656677,420.296875,57.4
1727656679,420.296875,49.9
1727656679,420.296875,54.3
1727656679,420.296875,49.4
1727656679,420.296875,57.8
1727656682,420.296875,49.9
1727656682,420.296875,38.2
1727656682,420.296875,50.4
1727656682,420.296875,56.8
1727656685,420.296875,49.9
1727656685,420.296875,53.2
1727656685,420.296875,50.4
1727656685,420.296875,36.4
1727656687,420.296875,49.9
1727656687,420.296875,44.7
1727656687,420.296875,50.2
1727656687,420.296875,54.3
1727656690,420.296875,49.9
1727656690,420.296875,56.5
1727656690,420.296875,50.4
1727656690,420.296875,40.6
1727656692,420.296875,49.9
1727656692,420.296875,54.3
1727656692,420.296875,49.8
1727656692,420.296875,56.5
1727656695,420.296875,49.9
1727656695,420.296875,56.3
1727656695,420.296875,50.4
1727656695,420.296875,37.5
1727656697,420.296875,49.9
1727656697,420.296875,40.0
1727656697,420.296875,50.8
1727656697,420.296875,55.8
1727656700,420.296875,49.9
1727656700,420.296875,53.2
1727656700,420.296875,48.8
1727656700,420.296875,52.5
1727656702,420.296875,49.9
1727656702,420.296875,55.1
1727656702,420.296875,49.8
1727656702,420.296875,56.5
1727656705,420.296875,49.9
1727656705,420.296875,54.3
1727656705,420.296875,49.8
1727656705,420.296875,55.6
1727656707,420.296875,49.9
1727656707,420.296875,54.0
1727656707,420.296875,50.8
1727656707,420.296875,40.6
1727656710,420.296875,49.9
1727656710,420.296875,53.3
1727656710,420.296875,48.7
1727656710,420.296875,54.2
1727656712,420.296875,49.9
1727656712,420.296875,56.3
1727656712,420.296875,48.9
1727656712,420.296875,56.5
1727656715,420.296875,49.9
1727656715,420.296875,50.0
1727656715,420.296875,51.2
1727656715,420.296875,40.0
1727656717,420.296875,49.9
1727656717,420.296875,55.6
1727656717,420.296875,50.6
1727656717,420.296875,39.4
1727656720,420.296875,49.9
1727656720,420.296875,38.9
1727656720,420.296875,51.0
1727656720,420.296875,57.8
1727656722,420.17578125,49.9
1727656723,420.17578125,54.3
1727656723,420.17578125,50.4
1727656723,420.17578125,39.4
1727656725,420.17578125,49.9
1727656725,420.17578125,42.1
1727656725,420.17578125,49.6
1727656725,420.17578125,55.6
1727656728,420.17578125,49.9
1727656728,420.17578125,36.4
1727656728,420.17578125,50.8
1727656728,420.17578125,55.6
1727656730,420.17578125,49.9
1727656730,420.17578125,54.3
1727656730,420.17578125,50.6
1727656730,420.17578125,37.5
1727656734,420.2109375,49.9
1727656734,420.2109375,38.2
1727656734,420.2109375,50.7
1727656734,420.2109375,47.2
1727656780,420.38671875,50.2
1727656780,420.38671875,37.5
1727656780,420.38671875,51.0
1727656780,420.38671875,38.7
1727656782,420.38671875,49.9
1727656782,420.38671875,52.1
1727656782,420.38671875,49.4
1727656782,420.38671875,55.6
1727656785,420.38671875,49.9
1727656785,420.38671875,49.0
1727656785,420.38671875,47.9
1727656785,420.38671875,55.6
1727656787,420.38671875,49.9
1727656787,420.38671875,40.0
1727656787,420.38671875,50.6
1727656787,420.38671875,56.5
1727656790,420.38671875,49.9
1727656790,420.38671875,56.3
1727656790,420.38671875,50.6
1727656790,420.38671875,40.6
1727656793,420.38671875,49.9
1727656793,420.38671875,52.4
1727656793,420.38671875,50.2
1727656793,420.38671875,40.6
1727656795,420.38671875,49.9
1727656795,420.38671875,54.3
1727656795,420.38671875,51.0
1727656795,420.38671875,37.1
1727656798,420.38671875,49.9
1727656798,420.38671875,51.1
1727656798,420.38671875,48.1
1727656798,420.38671875,56.5
1727656800,420.38671875,49.9
1727656800,420.38671875,53.3
1727656800,420.38671875,50.4
1727656800,420.38671875,38.7
1727656803,420.38671875,49.9
1727656803,420.38671875,55.6
1727656803,420.38671875,49.8
1727656803,420.38671875,51.3
1727656805,420.38671875,49.9
1727656805,420.38671875,56.5
1727656805,420.38671875,48.6
1727656805,420.38671875,51.3
1727656808,420.38671875,49.9
1727656808,420.38671875,51.1
1727656808,420.38671875,49.4
1727656808,420.38671875,48.6
1727656810,420.38671875,49.9
1727656810,420.38671875,38.2
1727656810,420.38671875,51.2
1727656810,420.38671875,54.3
1727656813,420.4921875,49.9
1727656813,420.4921875,52.2
1727656813,420.4921875,48.3
1727656813,420.4921875,56.5
1727656815,420.4921875,49.9
1727656815,420.4921875,54.3
1727656815,420.4921875,49.8
1727656815,420.4921875,40.6
1727656818,420.4921875,49.9
1727656818,420.4921875,38.9
1727656818,420.4921875,50.2
1727656818,420.4921875,58.7
1727656821,420.4921875,49.9
1727656821,420.4921875,40.0
1727656821,420.4921875,50.0
1727656821,420.4921875,56.8
1727656823,420.4921875,49.9
1727656823,420.4921875,53.2
1727656823,420.4921875,48.8
1727656823,420.4921875,51.3
1727656826,420.4921875,49.9
1727656826,420.4921875,56.3
1727656826,420.4921875,48.3
1727656826,420.4921875,56.8
1727656828,420.4921875,49.9
1727656828,420.4921875,51.2
1727656828,420.4921875,49.2
1727656828,420.4921875,56.5
1727656831,420.4921875,49.9
1727656831,420.4921875,36.4
1727656831,420.4921875,50.6
1727656831,420.4921875,57.4
1727656834,420.4921875,49.9
1727656834,420.4921875,39.4
1727656834,420.4921875,50.4
1727656834,420.4921875,56.8
1727656836,420.4921875,49.9
1727656836,420.4921875,55.6
1727656836,420.4921875,50.4
1727656836,420.4921875,38.7
1727656839,420.4921875,49.9
1727656839,420.4921875,42.9
1727656839,420.4921875,50.6
1727656839,420.4921875,40.6
1727656841,420.4921875,49.9
1727656841,420.4921875,36.4
1727656841,420.4921875,51.3
1727656841,420.4921875,55.6
1727656844,420.4921875,49.9
1727656844,420.4921875,41.2
1727656844,420.4921875,50.4
1727656844,420.4921875,53.7
1727656846,420.4921875,49.9
1727656846,420.4921875,40.0
1727656846,420.4921875,50.8
1727656846,420.4921875,56.5
1727656849,420.4921875,49.9
1727656849,420.4921875,41.2
1727656849,420.4921875,50.6
1727656849,420.4921875,57.8
1727656851,420.4921875,49.9
1727656851,420.4921875,40.0
1727656851,420.4921875,49.8
1727656851,420.4921875,55.3
1727656854,420.4921875,49.9
1727656854,420.4921875,50.0
1727656854,420.4921875,50.8
1727656854,420.4921875,37.5
1727656856,420.4921875,49.9
1727656856,420.4921875,55.3
1727656856,420.4921875,50.0
1727656856,420.4921875,41.9
1727656859,420.4921875,49.9
1727656859,420.4921875,53.5
1727656859,420.4921875,48.8
1727656859,420.4921875,55.6
1727656861,420.4921875,49.9
1727656861,420.4921875,47.4
1727656861,420.4921875,50.2
1727656861,420.4921875,52.4
1727656864,420.4921875,49.9
1727656864,420.4921875,55.3
1727656864,420.4921875,49.6
1727656864,420.4921875,40.6
1727656866,420.4921875,49.9
1727656866,420.4921875,52.3
1727656866,420.4921875,49.0
1727656866,420.4921875,56.5
1727656869,420.4921875,49.9
1727656869,420.4921875,54.3
1727656869,420.4921875,50.2
1727656869,420.4921875,39.4
1727656873,420.4921875,49.9
1727656873,420.4921875,55.6
1727656873,420.4921875,48.8
1727656873,420.4921875,56.8
1727656910,418.7578125,50.2
1727656910,418.7578125,53.1
1727656910,418.7578125,50.6
1727656910,418.7578125,37.5
1727656913,419.53125,49.9
1727656913,419.53125,38.2
1727656913,419.53125,50.4
1727656913,419.53125,55.3
1727656935,419.5234375,50.1
1727656935,419.5234375,55.3
1727656935,419.5234375,49.2
1727656935,419.5234375,39.4
1727656959,418.88671875,50.2
1727656959,418.88671875,44.4
1727656959,418.88671875,50.4
1727656959,418.88671875,55.6
1727656962,419.01171875,49.9
1727656962,419.01171875,52.1
1727656962,419.01171875,50.2
1727656962,419.01171875,53.3
1727656964,418.9921875,49.9
1727656964,418.9921875,54.2
1727656964,418.9921875,50.8
1727656964,418.9921875,37.5
1727656967,419.00390625,49.9
1727656967,419.00390625,53.2
1727656967,419.00390625,49.6
1727656967,419.00390625,39.4
1727656970,418.99609375,49.9
1727656970,418.99609375,43.2
1727656970,418.99609375,50.2
1727656970,418.99609375,56.8
1727656973,419.0078125,49.9
1727656973,419.0078125,54.5
1727656973,419.0078125,49.8
1727656973,419.0078125,56.5
1727656975,419.00390625,49.9
1727656975,419.00390625,53.2
1727656975,419.00390625,49.8
1727656975,419.00390625,40.6
1727656978,419.0078125,49.9
1727656978,419.0078125,36.4
1727656978,419.0078125,52.0
1727656978,419.0078125,38.7
1727657003,419.421875,50.2
1727657003,419.421875,55.6
1727657003,419.421875,47.9
1727657003,419.421875,59.1
1727657005,419.42578125,49.9
1727657005,419.42578125,38.7
1727657005,419.42578125,50.4
1727657005,419.42578125,50.0
1727657008,419.39453125,49.9
1727657008,419.39453125,53.2
1727657008,419.39453125,47.9
1727657008,419.39453125,58.3
1727657031,419.9140625,50.2
1727657031,419.9140625,55.6
1727657031,419.9140625,49.6
1727657031,419.9140625,47.2
1727657033,419.90234375,49.9
1727657033,419.90234375,42.1
1727657033,419.90234375,51.0
1727657033,419.90234375,40.6
1727657056,413.21484375,50.2
1727657056,413.21484375,56.5
1727657056,413.21484375,50.2
1727657056,413.21484375,40.6
1727657058,413.3203125,49.9
1727657058,413.3203125,39.4
1727657058,413.3203125,50.8
1727657058,413.3203125,38.7
1727657061,413.3203125,49.9
1727657061,413.3203125,55.6
1727657061,413.3203125,50.4
1727657061,413.3203125,38.7
1727657065,414.640625,49.9
1727657065,414.640625,54.2
1727657065,414.640625,51.1
1727657065,414.640625,50.0
1727657096,419.02734375,50.2
1727657096,419.02734375,52.3
1727657096,419.02734375,49.4
1727657096,419.02734375,55.3
1727657099,419.06640625,49.9
1727657099,419.06640625,37.1
1727657099,419.06640625,51.1
1727657099,419.06640625,51.2
1727657102,419.046875,49.9
1727657102,419.046875,55.6
1727657102,419.046875,49.6
1727657102,419.046875,57.8
1727657104,419.05078125,49.9
1727657104,419.05078125,48.8
1727657104,419.05078125,51.3
1727657104,419.05078125,39.4
1727657108,418.953125,49.9
1727657108,418.953125,55.3
1727657108,418.953125,48.9
1727657108,418.953125,55.6
1727657134,419.64453125,50.2
1727657134,419.64453125,39.4
1727657134,419.64453125,50.2
1727657134,419.64453125,57.8
1727657136,419.6171875,49.9
1727657136,419.6171875,35.3
1727657136,419.6171875,50.8
1727657136,419.6171875,57.8
1727657139,419.625,49.9
1727657139,419.625,38.2
1727657139,419.625,51.7
1727657139,419.625,38.7
1727657142,419.62109375,49.9
1727657142,419.62109375,55.3
1727657142,419.62109375,49.4
1727657142,419.62109375,55.6
1727657144,419.625,49.9
1727657144,419.625,54.3
1727657144,419.625,48.9
1727657144,419.625,55.6
1727657148,419.64453125,49.9
1727657148,419.64453125,56.5
1727657148,419.64453125,49.6
1727657148,419.64453125,56.8
1727657170,418.078125,50.2
1727657170,418.078125,52.4
1727657170,418.078125,50.2
1727657170,418.078125,40.6
1727657173,418.078125,49.9
1727657173,418.078125,47.4
1727657173,418.078125,50.9
1727657173,418.078125,42.9
1727657176,418.078125,49.9
1727657176,418.078125,43.9
1727657176,418.078125,50.0
1727657176,418.078125,55.8
1727657179,418.078125,49.9
1727657179,418.078125,36.4
1727657179,418.078125,50.0
1727657179,418.078125,55.6
1727657181,418.078125,49.9
1727657181,418.078125,37.5
1727657181,418.078125,51.9
1727657181,418.078125,42.4
1727657184,418.078125,49.9
1727657184,418.078125,39.4
1727657184,418.078125,50.2
1727657184,418.078125,56.8
1727657186,418.078125,49.9
1727657186,418.078125,55.6
1727657187,418.078125,50.0
1727657187,418.078125,54.3
1727657211,420.66015625,50.2
1727657211,420.66015625,55.1
1727657211,420.66015625,49.4
1727657211,420.66015625,47.2
1727657215,420.66015625,49.9
1727657215,420.66015625,54.2
1727657215,420.66015625,49.8
1727657215,420.66015625,41.2
1727657238,420.19921875,50.2
1727657238,420.19921875,56.0
1727657238,420.19921875,49.8
1727657238,420.19921875,39.4
1727657241,420.19921875,49.9
1727657241,420.19921875,54.3
1727657241,420.19921875,50.8
1727657241,420.19921875,38.7
1727657244,420.19921875,49.9
1727657244,420.19921875,57.1
1727657244,420.19921875,48.1
1727657244,420.19921875,56.8
1727657246,420.19921875,49.9
1727657246,420.19921875,55.6
1727657246,420.19921875,48.9
1727657246,420.19921875,56.8
1727657249,420.19921875,49.9
1727657249,420.19921875,54.3
1727657249,420.19921875,50.4
1727657249,420.19921875,40.6
1727657252,420.19921875,49.9
1727657252,420.19921875,36.4
1727657252,420.19921875,50.6
1727657252,420.19921875,56.8
1727657254,420.19921875,49.9
1727657254,420.19921875,54.3
1727657254,420.19921875,48.9
1727657254,420.19921875,57.8
1727657257,420.19921875,49.8
1727657257,420.19921875,53.3
1727657257,420.19921875,50.2
1727657257,420.19921875,54.5
1727657260,420.19921875,49.9
1727657260,420.19921875,48.8
1727657260,420.19921875,50.4
1727657260,420.19921875,38.7
1727657263,420.19921875,49.9
1727657263,420.19921875,37.5
1727657263,420.19921875,49.8
1727657263,420.19921875,55.8
1727657265,420.19921875,49.9
1727657265,420.19921875,52.3
1727657265,420.19921875,49.6
1727657265,420.19921875,42.4
1727657268,420.19921875,49.9
1727657268,420.19921875,51.2
1727657268,420.19921875,50.4
1727657268,420.19921875,39.4
1727657271,420.19921875,49.9
1727657271,420.19921875,37.5
1727657271,420.19921875,51.5
1727657271,420.19921875,45.7
1727657273,420.19921875,49.9
1727657273,420.19921875,54.3
1727657273,420.19921875,49.4
1727657273,420.19921875,38.7
1727657276,420.19921875,49.9
1727657276,420.19921875,55.3
1727657276,420.19921875,50.2
1727657276,420.19921875,47.2
1727657279,420.19921875,49.9
1727657279,420.19921875,55.3
1727657279,420.19921875,49.2
1727657279,420.19921875,54.3
1727657282,420.19921875,49.9
1727657282,420.19921875,36.1
1727657282,420.19921875,50.4
1727657282,420.19921875,53.7
1727657284,420.19921875,49.9
1727657284,420.19921875,38.9
1727657284,420.19921875,50.4
1727657284,420.19921875,51.2
1727657287,420.19921875,49.9
1727657287,420.19921875,36.4
1727657287,420.19921875,50.0
1727657287,420.19921875,57.8
1727657290,420.19921875,49.9
1727657290,420.19921875,54.2
1727657290,420.19921875,49.2
1727657290,420.19921875,56.8
1727657292,420.19921875,49.9
1727657292,420.19921875,54.3
1727657292,420.19921875,50.8
1727657292,420.19921875,39.4
1727657295,420.19921875,49.9
1727657295,420.19921875,54.3
1727657295,420.19921875,50.8
1727657295,420.19921875,43.7
1727657298,420.19921875,49.9
1727657298,420.19921875,39.4
1727657298,420.19921875,50.2
1727657298,420.19921875,56.8
1727657300,420.19921875,49.9
1727657300,420.19921875,48.8
1727657300,420.19921875,50.8
1727657300,420.19921875,41.2
1727657303,420.19921875,49.9
1727657303,420.19921875,55.6
1727657303,420.19921875,50.0
1727657303,420.19921875,41.9
1727657306,420.19921875,49.9
1727657306,420.19921875,57.8
1727657306,420.19921875,49.2
1727657306,420.19921875,56.1
1727657308,420.19921875,49.9
1727657308,420.19921875,54.5
1727657308,420.19921875,49.8
1727657308,420.19921875,56.5
1727657311,420.19921875,49.9
1727657311,420.19921875,40.0
1727657311,420.19921875,50.4
1727657311,420.19921875,57.8
1727657314,420.19921875,49.9
1727657314,420.19921875,53.2
1727657314,420.19921875,49.6
1727657314,420.19921875,55.6
1727657316,420.19921875,49.9
1727657316,420.19921875,54.3
1727657316,420.19921875,49.6
1727657316,420.19921875,42.4
1727657319,420.19921875,49.9
1727657319,420.19921875,41.0
1727657319,420.19921875,50.2
1727657319,420.19921875,56.8
1727657322,420.19921875,49.9
1727657322,420.19921875,54.3
1727657322,420.19921875,49.6
1727657322,420.19921875,51.0
1727657325,420.19921875,49.9
1727657325,420.19921875,51.0
1727657325,420.19921875,49.8
1727657325,420.19921875,57.8
1727657327,420.19921875,49.9
1727657327,420.19921875,42.9
1727657327,420.19921875,50.4
1727657327,420.19921875,56.8
1727657330,420.19921875,49.9
1727657330,420.19921875,55.1
1727657330,420.19921875,50.8
1727657330,420.19921875,37.5
1727657333,420.19921875,49.9
1727657333,420.19921875,38.2
1727657333,420.19921875,51.6
1727657333,420.19921875,39.4
1727657335,420.19921875,49.9
1727657335,420.19921875,54.3
1727657335,420.19921875,49.6
1727657335,420.19921875,38.2
1727657338,420.19921875,49.9
1727657338,420.19921875,44.7
1727657338,420.19921875,49.6
1727657338,420.19921875,55.6
1727657341,420.19921875,49.9
1727657341,420.19921875,54.2
1727657341,420.19921875,50.7
1727657341,420.19921875,40.6
1727657343,420.19921875,49.9
1727657343,420.19921875,55.6
1727657343,420.19921875,49.8
1727657343,420.19921875,38.7
1727657346,420.19921875,49.9
1727657346,420.19921875,40.0
1727657346,420.19921875,50.9
1727657346,420.19921875,56.5
1727657349,420.19921875,49.9
1727657349,420.19921875,51.0
1727657349,420.19921875,49.4
1727657349,420.19921875,58.1
1727657351,420.19921875,49.9
1727657351,420.19921875,39.4
1727657351,420.19921875,49.0
1727657351,420.19921875,56.5
1727657354,420.19921875,49.9
1727657354,420.19921875,52.0
1727657354,420.19921875,49.4
1727657354,420.19921875,55.6
1727657357,420.19921875,49.9
1727657357,420.19921875,55.3
1727657357,420.19921875,50.0
1727657357,420.19921875,37.5
1727657361,420.19921875,49.9
1727657361,420.19921875,56.5
1727657361,420.19921875,49.6
1727657361,420.19921875,40.6
1727657384,421.12109375,50.2
1727657384,421.12109375,50.0
1727657384,421.12109375,50.0
1727657384,421.12109375,56.8
1727657412,421.390625,50.2
1727657412,421.390625,54.3
1727657412,421.390625,49.6
1727657412,421.390625,56.5
1727657415,421.390625,49.9
1727657415,421.390625,54.2
1727657415,421.390625,49.0
1727657415,421.390625,56.8
1727657418,421.390625,49.9
1727657418,421.390625,40.0
1727657418,421.390625,50.0
1727657418,421.390625,55.6
1727657421,421.390625,49.9
1727657421,421.390625,54.3
1727657421,421.390625,49.6
1727657421,421.390625,56.5
1727657423,421.390625,49.9
1727657423,421.390625,54.3
1727657423,421.390625,50.4
1727657423,421.390625,57.8
1727657426,421.390625,49.9
1727657426,421.390625,45.0
1727657426,421.390625,49.6
1727657426,421.390625,52.0
1727657429,421.390625,49.9
1727657429,421.390625,37.1
1727657429,421.390625,51.3
1727657429,421.390625,42.4
1727657432,421.390625,49.9
1727657432,421.390625,37.8
1727657432,421.390625,51.3
1727657432,421.390625,42.4
1727657434,421.390625,49.9
1727657434,421.390625,47.3
1727657434,421.390625,50.0
1727657434,421.390625,50.0
1727657437,421.390625,49.9
1727657437,421.390625,37.1
1727657437,421.390625,50.0
1727657437,421.390625,55.6
1727657440,421.390625,49.9
1727657440,421.390625,54.2
1727657440,421.390625,49.0
1727657440,421.390625,56.5
1727657442,421.390625,49.9
1727657443,421.390625,36.4
1727657443,421.390625,52.0
1727657443,421.390625,38.7
1727657445,421.390625,49.9
1727657445,421.390625,55.3
1727657445,421.390625,49.4
1727657445,421.390625,41.2
1727657448,421.390625,49.9
1727657448,421.390625,55.3
1727657448,421.390625,48.7
1727657448,421.390625,55.6
1727657451,421.390625,49.9
1727657451,421.390625,36.4
1727657451,421.390625,49.8
1727657451,421.390625,55.6
1727657453,421.390625,49.9
1727657453,421.390625,50.0
1727657453,421.390625,49.4
1727657453,421.390625,54.5
1727657456,421.390625,49.9
1727657456,421.390625,54.2
1727657456,421.390625,49.8
1727657456,421.390625,52.4
1727657459,421.390625,49.9
1727657459,421.390625,38.2
1727657459,421.390625,51.3
1727657459,421.390625,38.7
1727657461,421.390625,49.9
1727657461,421.390625,53.2
1727657461,421.390625,50.0
1727657461,421.390625,41.2
1727657464,421.390625,49.9
1727657464,421.390625,55.3
1727657464,421.390625,50.2
1727657464,421.390625,44.1
1727657467,421.390625,49.9
1727657467,421.390625,54.3
1727657467,421.390625,50.2
1727657467,421.390625,38.7
1727657470,421.390625,49.9
1727657470,421.390625,38.2
1727657470,421.390625,50.2
1727657470,421.390625,56.5
1727657472,421.390625,49.9
1727657472,421.390625,54.3
1727657472,421.390625,49.8
1727657472,421.390625,40.6
1727657475,421.390625,49.9
1727657475,421.390625,42.1
1727657475,421.390625,50.0
1727657475,421.390625,56.5
1727657478,421.390625,49.9
1727657478,421.390625,37.5
1727657478,421.390625,50.6
1727657478,421.390625,52.4
1727657480,421.390625,49.9
1727657480,421.390625,55.1
1727657480,421.390625,49.2
1727657480,421.390625,53.7
1727657483,421.390625,49.9
1727657483,421.390625,46.2
1727657483,421.390625,51.3
1727657483,421.390625,39.4
1727657486,421.390625,49.9
1727657486,421.390625,38.9
1727657486,421.390625,50.8
1727657486,421.390625,51.3
1727657489,421.390625,49.9
1727657489,421.390625,53.2
1727657489,421.390625,48.9
1727657489,421.390625,57.8
1727657491,421.390625,49.9
1727657491,421.390625,53.3
1727657491,421.390625,49.6
1727657491,421.390625,57.8
1727657494,421.390625,49.9
1727657494,421.390625,55.3
1727657494,421.390625,49.6
1727657494,421.390625,39.4
1727657497,421.390625,49.9
1727657497,421.390625,41.7
1727657497,421.390625,49.8
1727657497,421.390625,55.6
1727657500,421.390625,49.9
1727657500,421.390625,56.5
1727657500,421.390625,49.0
1727657500,421.390625,56.8
1727657502,421.390625,49.9
1727657502,421.390625,54.3
1727657502,421.390625,47.7
1727657502,421.390625,57.8
1727657505,421.390625,49.9
1727657505,421.390625,54.3
1727657505,421.390625,49.8
1727657505,421.390625,41.2
1727657508,421.390625,49.9
1727657508,421.390625,55.6
1727657508,421.390625,50.0
1727657508,421.390625,40.6
1727657539,421.00390625,50.2
1727657539,421.00390625,54.3
1727657539,421.00390625,49.0
1727657539,421.00390625,55.6
1727657567,420.65625,50.2
1727657567,420.65625,56.5
1727657567,420.65625,50.0
1727657567,420.65625,40.6
1727657569,420.65625,49.9
1727657569,420.65625,40.0
1727657569,420.65625,51.5
1727657569,420.65625,40.6
1727657572,420.66015625,49.9
1727657572,420.66015625,36.4
1727657572,420.66015625,50.4
1727657572,420.66015625,56.8
1727657575,420.65625,49.9
1727657575,420.65625,54.2
1727657575,420.65625,50.6
1727657575,420.65625,55.8
1727657578,420.65625,49.9
1727657578,420.65625,54.3
1727657578,420.65625,50.2
1727657578,420.65625,38.7
1727657581,420.65625,49.9
1727657581,420.65625,56.5
1727657581,420.65625,49.8
1727657581,420.65625,56.5
1727657611,420.7109375,50.2
1727657611,420.7109375,43.6
1727657611,420.7109375,51.3
1727657611,420.7109375,38.7
1727657637,422.29296875,50.2
1727657637,422.29296875,54.3
1727657637,422.29296875,48.9
1727657637,422.29296875,56.8
1727657640,422.30078125,49.9
1727657640,422.30078125,54.3
1727657640,422.30078125,49.2
1727657640,422.30078125,55.3
1727657643,422.3046875,49.9
1727657643,422.3046875,36.4
1727657643,422.3046875,50.3
1727657643,422.3046875,47.2
1727657646,422.296875,49.9
1727657646,422.296875,53.1
1727657646,422.296875,49.8
1727657646,422.296875,55.6
1727657649,422.3046875,49.9
1727657649,422.3046875,54.3
1727657649,422.3046875,49.2
1727657649,422.3046875,53.2
1727657652,422.30859375,49.9
1727657652,422.30859375,57.4
1727657652,422.30859375,50.5
1727657652,422.30859375,37.5
1727657655,422.28515625,49.9
1727657655,422.28515625,38.9
1727657655,422.28515625,50.4
1727657655,422.28515625,54.3
1727657657,422.3046875,49.9
1727657657,422.3046875,54.3
1727657657,422.3046875,49.2
1727657657,422.3046875,58.7
1727657660,422.3046875,49.9
1727657660,422.3046875,38.2
1727657660,422.3046875,52.2
1727657660,422.3046875,40.6
1727657663,422.203125,49.9
1727657663,422.203125,36.4
1727657663,422.203125,51.4
1727657663,422.203125,38.7
1727657666,422.3125,49.9
1727657666,422.3125,55.3
1727657666,422.3125,48.7
1727657666,422.3125,57.8
1727657668,422.3125,49.9
1727657668,422.3125,41.2
1727657668,422.3125,49.6
1727657668,422.3125,58.3
1727657671,422.2109375,49.9
1727657671,422.2109375,41.7
1727657671,422.2109375,49.6
1727657671,422.2109375,55.1
1727657674,422.31640625,49.9
1727657674,422.31640625,51.0
1727657674,422.31640625,49.6
1727657674,422.31640625,55.6
1727657677,422.3046875,49.9
1727657677,422.3046875,54.2
1727657677,422.3046875,50.4
1727657677,422.3046875,47.4
1727657679,422.31640625,49.9
1727657679,422.31640625,51.2
1727657679,422.31640625,50.0
1727657679,422.31640625,56.8
1727657682,422.3125,49.9
1727657682,422.3125,54.2
1727657682,422.3125,49.2
1727657682,422.3125,57.8
1727657685,422.31640625,49.9
1727657685,422.31640625,51.1
1727657685,422.31640625,50.2
1727657685,422.31640625,44.4
1727657687,422.30859375,49.9
1727657687,422.30859375,39.4
1727657687,422.30859375,49.2
1727657687,422.30859375,55.8
1727657690,422.3125,49.9
1727657690,422.3125,55.3
1727657690,422.3125,49.2
1727657690,422.3125,57.8
1727657693,422.31640625,49.9
1727657693,422.31640625,39.4
1727657693,422.31640625,49.8
1727657693,422.31640625,56.8
1727657696,422.31640625,49.9
1727657696,422.31640625,55.3
1727657696,422.31640625,49.6
1727657696,422.31640625,53.7
1727657698,422.31640625,49.9
1727657698,422.31640625,53.2
1727657698,422.31640625,49.5
1727657698,422.31640625,55.6
1727657701,422.31640625,49.9
1727657701,422.31640625,39.4
1727657701,422.31640625,52.0
1727657701,422.31640625,40.6
1727657704,422.3125,49.9
1727657704,422.3125,54.3
1727657704,422.3125,50.2
1727657704,422.3125,37.5
1727657707,422.3203125,49.9
1727657707,422.3203125,55.6
1727657707,422.3203125,50.4
1727657707,422.3203125,40.6
1727657709,422.31640625,49.9
1727657709,422.31640625,55.3
1727657709,422.31640625,50.0
1727657709,422.31640625,40.6
1727657712,422.3125,49.9
1727657712,422.3125,36.4
1727657712,422.3125,52.0
1727657712,422.3125,40.6
1727657715,422.3125,49.9
1727657715,422.3125,37.1
1727657715,422.3125,50.6
1727657715,422.3125,55.6
1727657718,422.29296875,49.9
1727657718,422.29296875,43.2
1727657718,422.29296875,50.4
1727657718,422.29296875,55.6
1727657720,422.32421875,49.9
1727657720,422.32421875,56.2
1727657720,422.32421875,49.2
1727657720,422.32421875,47.2
1727657723,422.31640625,49.9
1727657723,422.31640625,55.6
1727657723,422.31640625,49.6
1727657723,422.31640625,42.4
1727657726,422.2109375,49.9
1727657726,422.2109375,39.4
1727657726,422.2109375,49.8
1727657726,422.2109375,56.5
1727657729,422.3203125,49.9
1727657729,422.3203125,44.7
1727657729,422.3203125,51.3
1727657729,422.3203125,42.4
1727657731,422.3125,49.9
1727657731,422.3125,54.3
1727657731,422.3125,49.6
1727657731,422.3125,51.2
1727657734,422.21484375,49.9
1727657734,422.21484375,55.3
1727657734,422.21484375,49.0
1727657734,422.21484375,55.6
1727657737,422.32421875,49.9
1727657737,422.32421875,54.3
1727657737,422.32421875,49.4
1727657737,422.32421875,57.8
1727657740,422.31640625,49.9
1727657740,422.31640625,54.3
1727657740,422.31640625,49.2
1727657740,422.31640625,56.8
1727657742,422.31640625,49.9
1727657742,422.31640625,38.2
1727657742,422.31640625,51.5
1727657742,422.31640625,39.4
1727657745,422.31640625,49.9
1727657745,422.31640625,40.0
1727657745,422.31640625,51.3
1727657745,422.31640625,41.2
1727657748,422.32421875,49.9
1727657748,422.32421875,37.1
1727657748,422.32421875,51.5
1727657748,422.32421875,39.4
1727657751,422.31640625,49.9
1727657751,422.31640625,53.2
1727657751,422.31640625,49.0
1727657751,422.31640625,54.3
1727657753,422.32421875,49.9
1727657754,422.32421875,44.7
1727657754,422.32421875,50.2
1727657754,422.32421875,56.5
1727657756,422.3203125,49.9
1727657756,422.3203125,38.2
1727657756,422.3203125,51.6
1727657756,422.3203125,40.6
1727657759,422.30859375,49.9
1727657759,422.30859375,38.2
1727657759,422.30859375,50.0
1727657759,422.30859375,58.3
1727657792,420.8125,50.2
1727657792,420.8125,39.4
1727657792,420.8125,50.4
1727657792,420.8125,38.7
1727657868,416.30859375,50.3
1727657868,416.30859375,54.3
1727657868,416.30859375,50.9
1727657868,416.30859375,39.4
1727657923,417.83984375,50.2
1727657923,417.83984375,36.4
1727657923,417.83984375,51.1
1727657923,417.83984375,48.7
1727657992,421.03125,50.3
1727657992,421.03125,38.2
1727657992,421.03125,49.8
1727657992,421.03125,56.5
1727657995,421.05078125,49.9
1727657995,421.05078125,38.2
1727657995,421.05078125,50.9
1727657995,421.05078125,45.9
1727657998,421.0546875,49.9
1727657998,421.0546875,38.2
1727657998,421.0546875,52.0
1727657998,421.0546875,38.2
1727658001,421.05859375,49.9
1727658001,421.05859375,50.0
1727658001,421.05859375,49.3
1727658001,421.05859375,56.8
1727658004,421.0546875,49.9
1727658004,421.0546875,40.5
1727658004,421.0546875,50.9
1727658004,421.0546875,55.6
1727658007,421.05859375,49.9
1727658007,421.05859375,44.7
1727658007,421.05859375,51.1
1727658007,421.05859375,39.4
1727658011,421.078125,49.9
1727658011,421.078125,38.2
1727658011,421.078125,50.7
1727658011,421.078125,38.7
1727658040,422.68359375,50.2
1727658040,422.68359375,54.3
1727658040,422.68359375,49.4
1727658040,422.68359375,56.8
1727658043,422.671875,49.9
1727658043,422.671875,38.2
1727658043,422.671875,50.6
1727658043,422.671875,51.3
1727658046,422.6484375,49.9
1727658046,422.6484375,55.6
1727658046,422.6484375,49.6
1727658046,422.6484375,37.5
1727658049,423.67578125,49.9
1727658049,423.67578125,55.3
1727658049,423.67578125,49.0
1727658049,423.67578125,40.6
1727658052,423.6796875,49.9
1727658052,423.6796875,41.2
1727658052,423.6796875,50.9
1727658052,423.6796875,40.6
1727658055,423.703125,49.9
1727658055,423.703125,54.0
1727658055,423.703125,49.0
1727658055,423.703125,57.8
1727658057,423.703125,49.9
1727658057,423.703125,54.5
1727658058,423.703125,49.8
1727658058,423.703125,58.7
1727658060,423.703125,49.9
1727658060,423.703125,50.0
1727658060,423.703125,49.6
1727658060,423.703125,50.0
1727658063,423.703125,49.9
1727658063,423.703125,54.3
1727658063,423.703125,48.7
1727658063,423.703125,56.8
1727658066,423.703125,49.9
1727658066,423.703125,38.2
1727658066,423.703125,51.3
1727658066,423.703125,40.6
1727658069,423.703125,49.9
1727658069,423.703125,55.3
1727658069,423.703125,51.1
1727658069,423.703125,37.5
1727658072,423.703125,49.9
1727658072,423.703125,54.2
1727658072,423.703125,50.2
1727658072,423.703125,41.2
1727658075,423.703125,49.9
1727658075,423.703125,56.5
1727658075,423.703125,48.5
1727658075,423.703125,58.7
1727658106,420.16796875,50.2
1727658106,420.16796875,50.0
1727658106,420.16796875,51.6
1727658106,420.16796875,37.5
1727658109,420.16796875,49.9
1727658109,420.16796875,39.4
1727658109,420.16796875,51.3
1727658109,420.16796875,40.6
1727658111,420.16796875,49.9
1727658111,420.16796875,52.1
1727658111,420.16796875,49.0
1727658111,420.16796875,49.0
1727658114,420.16796875,49.9
1727658114,420.16796875,38.2
1727658114,420.16796875,50.4
1727658114,420.16796875,53.7
1727658117,420.16796875,49.9
1727658117,420.16796875,54.2
1727658117,420.16796875,49.2
1727658117,420.16796875,53.2
1727658120,420.16796875,49.9
1727658120,420.16796875,55.3
1727658120,420.16796875,48.9
1727658120,420.16796875,55.6
1727658123,420.16796875,49.9
1727658123,420.16796875,56.5
1727658123,420.16796875,49.4
1727658123,420.16796875,56.8
1727658126,420.16796875,49.9
1727658126,420.16796875,38.2
1727658126,420.16796875,50.9
1727658126,420.16796875,39.4
1727658129,420.16796875,49.9
1727658129,420.16796875,54.2
1727658129,420.16796875,49.0
1727658129,420.16796875,55.6
1727658132,420.16796875,49.9
1727658132,420.16796875,55.6
1727658132,420.16796875,49.4
1727658132,420.16796875,57.8
1727658134,420.23046875,49.9
1727658134,420.23046875,38.2
1727658134,420.23046875,51.6
1727658134,420.23046875,39.4
1727658137,420.23046875,49.9
1727658137,420.23046875,55.6
1727658137,420.23046875,49.2
1727658137,420.23046875,57.8
1727658140,420.23046875,49.9
1727658140,420.23046875,55.6
1727658140,420.23046875,49.2
1727658140,420.23046875,57.8
1727658143,420.23046875,49.9
1727658143,420.23046875,40.0
1727658143,420.23046875,49.4
1727658143,420.23046875,56.8
1727658146,420.23046875,49.9
1727658146,420.23046875,54.3
1727658146,420.23046875,49.6
1727658146,420.23046875,58.7
1727658149,420.23046875,49.9
1727658149,420.23046875,54.3
1727658149,420.23046875,49.6
1727658149,420.23046875,55.6
1727658151,420.23046875,49.9
1727658151,420.23046875,53.2
1727658152,420.23046875,50.5
1727658152,420.23046875,38.2
1727658154,420.23046875,49.9
1727658154,420.23046875,55.3
1727658154,420.23046875,50.6
1727658154,420.23046875,45.9
1727658157,420.23046875,49.9
1727658157,420.23046875,50.0
1727658157,420.23046875,50.4
1727658157,420.23046875,44.4
1727658160,420.23046875,49.9
1727658160,420.23046875,56.5
1727658160,420.23046875,50.4
1727658160,420.23046875,38.2
1727658163,420.23046875,49.9
1727658163,420.23046875,54.3
1727658163,420.23046875,48.7
1727658163,420.23046875,58.1
1727658166,420.23046875,49.9
1727658166,420.23046875,38.2
1727658166,420.23046875,50.5
1727658166,420.23046875,53.7
1727658169,420.23046875,49.9
1727658169,420.23046875,54.3
1727658169,420.23046875,49.0
1727658169,420.23046875,55.6
1727658172,420.23046875,49.9
1727658172,420.23046875,55.3
1727658172,420.23046875,51.1
1727658172,420.23046875,39.4
1727658175,420.23046875,49.9
1727658175,420.23046875,53.2
1727658175,420.23046875,50.4
1727658175,420.23046875,42.4
1727658177,420.23046875,49.9
1727658177,420.23046875,44.4
1727658177,420.23046875,49.0
1727658177,420.23046875,58.1
1727658182,420.234375,50.0
1727658182,420.234375,36.4
1727658182,420.234375,51.6
1727658182,420.234375,38.7
1727658274,420.47265625,50.3
1727658274,420.47265625,55.3
1727658274,420.47265625,50.9
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1727658395,423.2265625,50.2
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1727658395,423.2265625,50.7
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1727658519,416.421875,44.7
1727658522,416.40625,49.9
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1727658522,416.40625,50.2
1727658522,416.40625,56.5
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1727658525,416.3046875,48.3
1727658525,416.3046875,56.5
1727658528,416.4140625,49.9
1727658528,416.4140625,53.2
1727658528,416.4140625,50.4
1727658528,416.4140625,39.4
1727658531,416.4140625,49.9
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1727658531,416.4140625,49.5
1727658531,416.4140625,56.8
1727658534,416.4140625,49.9
1727658534,416.4140625,44.7
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1727658537,416.4140625,49.9
1727658537,416.4140625,45.0
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1727658540,416.4140625,49.9
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1727658540,416.4140625,51.1
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1727658543,416.40625,49.9
1727658543,416.40625,55.3
1727658543,416.40625,49.6
1727658543,416.40625,40.6
1727658546,416.4140625,49.9
1727658546,416.4140625,54.3
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1727658546,416.4140625,57.8
1727658549,416.4140625,49.9
1727658549,416.4140625,53.1
1727658549,416.4140625,50.9
1727658549,416.4140625,41.9
1727658552,416.40625,49.9
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1727658552,416.40625,50.7
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1727658555,416.4140625,50.9
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1727658558,416.4140625,49.9
1727658558,416.4140625,36.4
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1727658558,416.4140625,38.7
1727658561,416.4140625,49.9
1727658561,416.4140625,47.6
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1727658561,416.4140625,55.6
1727658564,416.41796875,49.9
1727658564,416.41796875,54.3
1727658564,416.41796875,50.5
1727658564,416.41796875,37.5
1727658567,416.32421875,49.9
1727658567,416.32421875,39.4
1727658567,416.32421875,51.3
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1727658570,416.41796875,49.9
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1727658570,416.41796875,48.3
1727658570,416.41796875,56.8
1727658573,416.421875,49.9
1727658573,416.421875,39.4
1727658573,416.421875,51.1
1727658573,416.421875,52.4
1727658576,416.41796875,49.9
1727658576,416.41796875,53.2
1727658576,416.41796875,49.8
1727658576,416.41796875,56.5
1727658579,416.41796875,49.9
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1727658579,416.41796875,50.7
1727658579,416.41796875,40.6
1727658582,416.41796875,49.9
1727658582,416.41796875,46.2
1727658582,416.41796875,49.8
1727658582,416.41796875,56.8
1727658585,416.41796875,49.9
1727658585,416.41796875,53.3
1727658585,416.41796875,49.4
1727658585,416.41796875,50.0
1727658588,416.42578125,49.9
1727658588,416.42578125,55.6
1727658588,416.42578125,49.3
1727658588,416.42578125,52.4
1727658591,416.41015625,49.9
1727658591,416.41015625,54.3
1727658591,416.41015625,50.4
1727658591,416.41015625,40.6
1727658594,416.328125,49.9
1727658594,416.328125,44.4
1727658594,416.328125,50.4
1727658594,416.328125,50.0
1727658597,416.42578125,49.9
1727658597,416.42578125,38.2
1727658597,416.42578125,51.5
1727658597,416.42578125,40.0
1727658600,416.42578125,49.9
1727658600,416.42578125,54.3
1727658600,416.42578125,48.5
1727658600,416.42578125,56.8
1727658603,416.421875,49.9
1727658603,416.421875,48.8
1727658603,416.421875,49.4
1727658603,416.421875,56.5
1727658606,416.41796875,49.9
1727658606,416.41796875,39.4
1727658606,416.41796875,51.3
1727658606,416.41796875,38.7
1727658609,416.328125,49.9
1727658609,416.328125,55.6
1727658609,416.328125,49.6
1727658609,416.328125,53.7
1727658612,416.42578125,49.9
1727658612,416.42578125,55.3
1727658612,416.42578125,48.5
1727658612,416.42578125,57.8
1727658615,416.41796875,49.9
1727658615,416.41796875,55.3
1727658615,416.41796875,50.4
1727658615,416.41796875,38.7
1727658618,416.41796875,49.9
1727658618,416.41796875,55.3
1727658618,416.41796875,48.5
1727658618,416.41796875,56.8
1727658621,416.41015625,49.9
1727658621,416.41015625,54.3
1727658621,416.41015625,48.7
1727658621,416.41015625,56.8
1727658623,416.421875,49.9
1727658623,416.421875,37.5
1727658624,416.421875,50.0
1727658624,416.421875,57.8
1727658627,416.421875,49.9
1727658627,416.421875,38.2
1727658627,416.421875,50.9
1727658627,416.421875,56.8
1727658629,416.421875,49.9
1727658629,416.421875,37.5
1727658629,416.421875,51.3
1727658629,416.421875,40.6
1727658632,416.421875,49.9
1727658632,416.421875,56.5
1727658632,416.421875,49.0
1727658632,416.421875,48.7
1727658635,416.3203125,49.9
1727658635,416.3203125,56.5
1727658635,416.3203125,49.2
1727658635,416.3203125,56.8
1727658638,416.41796875,49.9
1727658638,416.41796875,56.3
1727658638,416.41796875,48.9
1727658638,416.41796875,53.5
1727658641,416.421875,49.9
1727658641,416.421875,39.4
1727658641,416.421875,50.9
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1727658644,416.4296875,49.9
1727658644,416.4296875,56.5
1727658644,416.4296875,48.5
1727658644,416.4296875,56.5
1727658647,416.41796875,49.9
1727658647,416.41796875,47.4
1727658647,416.41796875,50.0
1727658647,416.41796875,58.7
1727658650,416.421875,49.9
1727658650,416.421875,54.3
1727658650,416.421875,48.7
1727658650,416.421875,56.5
1727658653,416.4296875,49.9
1727658653,416.4296875,45.9
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1727658653,416.4296875,57.8
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1727658659,416.42578125,49.9
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1727658662,416.328125,49.9
1727658662,416.328125,55.3
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1727658662,416.328125,55.6
1727658665,416.4296875,49.9
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1727658665,416.4296875,49.4
1727658665,416.4296875,54.5
1727658668,416.42578125,49.9
1727658668,416.42578125,53.2
1727658668,416.42578125,50.2
1727658668,416.42578125,42.4
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1727658671,416.42578125,46.2
1727658671,416.42578125,50.8
1727658671,416.42578125,38.7
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1727658674,416.4296875,38.2
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1727658674,416.4296875,55.6
1727658677,416.33203125,49.9
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1727658677,416.33203125,57.8
1727658680,416.421875,49.9
1727658680,416.421875,55.3
1727658680,416.421875,48.5
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1727658683,416.421875,49.9
1727658683,416.421875,57.4
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1727658683,416.421875,56.8
1727658686,416.43359375,49.9
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1727658689,416.421875,49.9
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1727658725,422.18359375,56.3
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1727658755,417.3125,50.2
1727658755,417.3125,38.2
1727658755,417.3125,50.5
1727658755,417.3125,55.6
1727658872,421.25,50.3
1727658872,421.25,53.2
1727658872,421.25,49.8
1727658872,421.25,56.5
1727658934,420.5078125,50.2
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1727658956,423.30859375,50.1
1727658956,423.30859375,49.0
1727658956,423.30859375,50.6
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1727658962,423.30859375,47.9
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1727658965,423.30859375,56.5
1727658965,423.30859375,49.8
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1727658968,423.3125,49.9
1727658968,423.3125,48.8
1727658969,423.3125,50.2
1727658969,423.3125,39.4
1727658972,423.31640625,49.9
1727658972,423.31640625,54.2
1727658972,423.31640625,49.1
1727658972,423.31640625,55.6
1727658975,423.3125,49.9
1727658975,423.3125,57.1
1727658975,423.3125,49.6
1727658975,423.3125,41.2
1727658978,423.3203125,49.9
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1727658981,423.3203125,47.4
1727658984,423.2265625,49.9
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1727658984,423.2265625,50.9
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1727658987,423.3203125,49.9
1727658987,423.3203125,56.5
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1727659022,423.32421875,37.5
1727659022,423.32421875,51.7
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1727659025,423.234375,49.9
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1727659034,423.31640625,49.9
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1727659034,423.31640625,49.8
1727659034,423.31640625,58.3
1727659037,423.32421875,49.9
1727659037,423.32421875,47.8
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1727659037,423.32421875,55.6
1727659040,423.328125,49.9
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1727659040,423.328125,50.0
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1727659043,423.32421875,55.3
1727659043,423.32421875,49.8
1727659043,423.32421875,44.4
1727659046,423.328125,49.9
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1727659050,423.21875,49.9
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1727659053,423.30859375,36.4
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1727659053,423.30859375,37.5
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1727659059,423.32421875,55.6
1727659059,423.32421875,50.7
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1727659064,423.328125,50.0
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1727659064,423.328125,50.4
1727659064,423.328125,42.4
1727659086,417.14453125,50.1
1727659086,417.14453125,55.3
1727659086,417.14453125,50.7
1727659086,417.14453125,41.2
1727659090,417.12109375,49.9
1727659090,417.12109375,44.7
1727659090,417.12109375,51.0
1727659090,417.12109375,40.6
1727659093,417.125,49.9
1727659093,417.125,55.6
1727659093,417.125,50.2
1727659093,417.125,38.7
1727659096,417.11328125,49.9
1727659096,417.11328125,44.7
1727659096,417.11328125,49.6
1727659096,417.11328125,56.5
1727659099,417.1328125,49.9
1727659099,417.1328125,46.7
1727659099,417.1328125,49.4
1727659099,417.1328125,55.6
1727659102,417.11328125,49.9
1727659102,417.11328125,54.3
1727659102,417.11328125,49.5
1727659102,417.11328125,58.7
1727659105,417.01171875,49.9
1727659105,417.01171875,54.3
1727659105,417.01171875,50.5
1727659105,417.01171875,40.6
1727659108,417.1171875,49.9
1727659108,417.1171875,54.3
1727659108,417.1171875,50.2
1727659108,417.1171875,37.5
1727659111,417.11328125,49.9
1727659111,417.11328125,38.2
1727659111,417.11328125,50.4
1727659111,417.11328125,55.6
1727659114,417.1171875,49.9
1727659114,417.1171875,48.8
1727659114,417.1171875,50.2
1727659114,417.1171875,55.3
1727659118,417.12890625,49.9
1727659118,417.12890625,56.5
1727659118,417.12890625,50.2
1727659118,417.12890625,40.6
1727659121,417.12890625,49.9
1727659121,417.12890625,56.5
1727659121,417.12890625,49.5
1727659121,417.12890625,40.6
1727659124,417.125,49.9
1727659124,417.125,39.4
1727659124,417.125,50.5
1727659124,417.125,55.6
1727659127,417.140625,49.9
1727659127,417.140625,44.4
1727659127,417.140625,49.5
1727659127,417.140625,57.8
1727659130,417.14453125,49.9
1727659130,417.14453125,54.3
1727659130,417.14453125,50.7
1727659130,417.14453125,37.5
1727659133,417.13671875,49.9
1727659133,417.13671875,55.3
1727659133,417.13671875,50.2
1727659133,417.13671875,42.4
1727659136,417.12109375,49.9
1727659136,417.12109375,37.5
1727659136,417.12109375,50.2
1727659136,417.12109375,55.6
1727659140,417.125,49.9
1727659140,417.125,36.4
1727659140,417.125,50.4
1727659140,417.125,56.8
1727659143,417.13671875,49.9
1727659143,417.13671875,55.3
1727659143,417.13671875,49.8
1727659143,417.13671875,40.6
1727659146,417.1328125,49.9
1727659146,417.1328125,55.3
1727659146,417.1328125,50.0
1727659146,417.1328125,38.7
1727659149,417.03515625,49.9
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1727659526,417.2578125,49.9
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1727659561,417.2578125,49.9
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1727659561,417.2578125,55.6
1727659564,417.1875,49.9
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1727659842,419.44921875,58.7
1727659845,419.44140625,49.9
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1727659917,420.0,49.9
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1727659930,420.01171875,49.9
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1727659934,419.99609375,49.9
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1727659940,420.109375,49.9
1727659940,420.109375,41.7
1727659940,420.109375,50.8
1727659940,420.109375,44.4
1727659943,420.109375,49.9
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1727659943,420.109375,50.3
1727659943,420.109375,38.7
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1727659991,429.23828125,49.9
1727659991,429.23828125,54.3
1727659991,429.23828125,48.8
1727659991,429.23828125,58.3
1727659995,429.22265625,49.9
1727659995,429.22265625,41.2
1727659995,429.22265625,50.7
1727659995,429.22265625,39.4
1727659998,429.234375,49.9
1727659998,429.234375,43.2
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1727660002,429.23828125,49.9
1727660002,429.23828125,36.4
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1727660007,429.2421875,50.0
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1727660007,429.2421875,59.6
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1727660039,428.6171875,53.2
1727660039,428.6171875,49.3
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1727660043,428.6171875,49.9
1727660043,428.6171875,38.9
1727660043,428.6171875,49.6
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1727661046,433.07421875,56.5
1727661049,433.08203125,49.9
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1727661049,433.08203125,42.4
1727661053,432.98046875,49.9
1727661053,432.98046875,53.2
1727661053,432.98046875,49.7
1727661053,432.98046875,55.6
1727661057,432.98828125,49.9
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1727661060,433.07421875,49.9
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1727661064,433.08203125,49.9
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1727661071,432.98046875,49.9
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1727661075,432.99609375,49.9
1727661075,432.99609375,38.2
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1727661075,432.99609375,38.7
1727661078,433.08203125,49.9
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1727661082,433.07421875,49.9
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1727661089,432.97265625,49.9
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1727661093,432.9921875,49.9
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1727661093,432.9921875,51.2
1727661093,432.9921875,39.4
1727661096,433.08203125,49.9
1727661096,433.08203125,55.3
1727661096,433.08203125,49.8
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1727661100,433.08203125,49.9
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1727661104,433.078125,49.9
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1727661104,433.078125,55.6
1727661107,432.9765625,49.9
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1727661107,432.9765625,49.8
1727661107,432.9765625,55.6
1727661111,432.99609375,49.9
1727661111,432.99609375,44.7
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1727661115,433.078125,49.9
1727661115,433.078125,42.9
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1727661118,433.078125,49.9
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1727661122,433.078125,49.9
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1727661125,432.9765625,49.9
1727661125,432.9765625,51.2
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1727661248,433.5,50.2
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1727661437,437.11328125,50.2
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1727661476,436.4921875,49.9
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1727661480,436.48828125,49.9
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1727661480,436.48828125,48.7
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1727661484,436.48828125,49.9
1727661484,436.48828125,54.2
1727661484,436.48828125,49.7
1727661484,436.48828125,42.4
1727661487,436.48828125,49.9
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1727661488,436.48828125,51.7
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1727661491,436.40234375,53.2
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1727661491,436.40234375,56.5
1727661495,436.484375,49.9
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1727661526,436.08203125,55.8
1727661530,436.078125,49.9
1727661530,436.078125,55.6
1727661530,436.078125,49.7
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1727661533,436.0625,49.9
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1727661545,436.07421875,49.9
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1727661620,435.21875,39.4
1727661624,435.23046875,49.9
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1727661627,435.23046875,49.9
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1727661634,437.4453125,50.0
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1727661634,437.4453125,56.8
1727661679,432.4765625,50.2
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1727661679,432.4765625,54.5
1727661715,437.2421875,50.2
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1727661776,436.375,50.2
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1727661787,436.3671875,49.9
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1727661787,436.3671875,49.9
1727661787,436.3671875,58.7
1727661791,436.35546875,49.9
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1727661923,430.98046875,50.0
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1727663447,438.72265625,49.9
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1727681684,594.60546875,49.5
1727681684,594.60546875,55.6
1727681693,594.5703125,50.0
1727681693,594.5703125,41.2
1727681693,594.5703125,50.0
1727681693,594.5703125,54.2
1727681701,594.6171875,50.0
1727681701,594.6171875,41.7
1727681701,594.6171875,50.8
1727681701,594.6171875,37.5
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<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>
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