trial_index,arm_name,trial_status,generation_method,generation_node,ACCURACY,RUNTIME,recent_samples_size,n_samples,feature_proportion,n_clusters,confidence
0,0_0,COMPLETED,Sobol,SOBOL,0.160000000000000003330669073875,840,1083,2611,0.070542474478483205291290403238,11,0.050000000000000002775557561563
1,1_0,COMPLETED,Sobol,SOBOL,0.19000000000000000222044604925,824,3129,1989,0.680266904624179047367249495437,26,0.25
2,2_0,COMPLETED,Sobol,SOBOL,0.149999999999999994448884876874,775,4730,4890,0.889683827124536086294881442882,50,0.001000000000000000020816681712
3,3_0,COMPLETED,Sobol,SOBOL,0.410000000000000031086244689504,1734,1982,511,0.36011981999874115301096821895,15,0.010000000000000000208166817117
4,4_0,COMPLETED,Sobol,SOBOL,0.140000000000000013322676295502,808,1436,3869,0.5307110514044761639951275356,43,0.25
5,5_0,COMPLETED,Sobol,SOBOL,0.359999999999999986677323704498,1194,4353,750,0.219490960024297243613489172276,22,0.010000000000000000208166817117
6,6_0,COMPLETED,Sobol,SOBOL,0.110000000000000000555111512313,900,2750,3631,0.46009254023618995077526960813,4,0.025000000000000001387778780781
7,7_0,COMPLETED,Sobol,SOBOL,0.149999999999999994448884876874,776,540,1750,0.789099973971024160057652352407,33,0.100000000000000005551115123126
8,8_0,COMPLETED,Sobol,SOBOL,0.040000000000000000832667268469,1041,160,4393,0.287202520200982691633839749557,35,0.001000000000000000020816681712
9,9_0,FAILED,Sobol,SOBOL,,,3115,11,0.961982364999130368232727050781,2,0.010000000000000000208166817117
10,10_0,COMPLETED,Sobol,SOBOL,0.200000000000000011102230246252,794,4013,3107,0.731134507544338729800870169129,24,0.100000000000000005551115123126
11,11_0,COMPLETED,Sobol,SOBOL,0.209999999999999992228438827624,820,1763,2489,0.019075132891535759999124266528,41,0.010000000000000000208166817117
12,12_0,COMPLETED,Sobol,SOBOL,0.070000000000000006661338147751,953,2320,3190,0.871755753383040454806973684754,19,0.005000000000000000104083408559
13,13_0,COMPLETED,Sobol,SOBOL,0.300000000000000044408920985006,929,4407,1312,0.378040294475853466682480075178,46,0.100000000000000005551115123126
14,14_0,COMPLETED,Sobol,SOBOL,0.140000000000000013322676295502,1177,3507,4310,0.178377064989879735579236808007,30,0.001000000000000000020816681712
15,15_0,COMPLETED,Sobol,SOBOL,0.230000000000000009992007221626,813,721,1188,0.572439912447705867570846294257,7,0.25
16,16_0,COMPLETED,Sobol,SOBOL,0.110000000000000000555111512313,780,914,4113,0.197274885172024377899546720982,10,0.025000000000000001387778780781
17,17_0,COMPLETED,Sobol,SOBOL,0.30999999999999999777955395075,920,3625,995,0.553418377431109553832300207432,31,0.001000000000000000020816681712
18,18_0,COMPLETED,Sobol,SOBOL,0.200000000000000011102230246252,787,4601,3387,0.751373884163796912361021895777,45,0.005000000000000000104083408559
19,19_0,COMPLETED,Sobol,SOBOL,0.140000000000000013322676295502,812,2438,1506,0.498294612050056484608973050854,16,0.050000000000000002775557561563
20,20_0,COMPLETED,Sobol,SOBOL,0.179999999999999993338661852249,811,1566,2836,0.642030548751354235292865269003,38,0.010000000000000000208166817117
21,21_0,COMPLETED,Sobol,SOBOL,0.230000000000000009992007221626,874,3897,2214,0.108295192383229738064542857501,23,0.100000000000000005551115123126
22,22_0,COMPLETED,Sobol,SOBOL,0.100000000000000005551115123126,800,2918,4665,0.337439163895323857023100799779,3,0.100000000000000005551115123126
23,23_0,COMPLETED,Sobol,SOBOL,0.100000000000000005551115123126,1000,44,287,0.911865658814087542971549282811,38,0.001000000000000000020816681712
24,24_0,COMPLETED,Sobol,SOBOL,0.070000000000000006661338147751,913,343,3591,0.417711781093850709201120707803,34,0.25
25,25_0,COMPLETED,Sobol,SOBOL,0.160000000000000003330669073875,777,2634,1712,0.831600640879944008609925276687,7,0.050000000000000002775557561563
26,26_0,COMPLETED,Sobol,SOBOL,0.170000000000000012212453270877,1106,4157,3910,0.59660141385346654452348502673,19,0.050000000000000002775557561563
27,27_0,COMPLETED,Sobol,SOBOL,0.340000000000000024424906541753,998,1320,788,0.153716728016734111017527197873,42,0.025000000000000001387778780781
28,28_0,COMPLETED,Sobol,SOBOL,0.040000000000000000832667268469,1114,2176,4774,0.986608447656035392192563904246,14,0.100000000000000005551115123126
29,29_0,COMPLETED,Sobol,SOBOL,0.429999999999999993338661852249,2731,4849,393,0.263067677564919000232634971326,48,0.25
30,30_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.429999999999999993338661852249,1849,2622,220,0.128243726299036020499499954894,37,0.010000000000000000208166817117
31,31_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3763,65,0.254677464487691462835528000141,16,0.25
32,32_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,4034,114,0.850435623834162046641438337247,13,0.025000000000000001387778780781
33,33_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3336,9,0.001000000000000000020816681712,22,0.25
34,34_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3525,21,0.027034529484317414149696645609,50,0.010000000000000000208166817117
35,35_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,4983,259,0.974162600490920960183416354994,15,0.25
36,36_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,3942,197,0.011725494229282875172093447702,36,0.025000000000000001387778780781
37,37_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3516,56,0.9989999999999999991118215803,50,0.025000000000000001387778780781
38,38_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,3406,203,0.246878625805959261985123021077,35,0.005000000000000000104083408559
39,39_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,864,4210,4664,0.056485962029197867018126544281,50,0.25
40,40_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,4559,371,0.001000000000000000020816681712,16,0.25
41,41_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,3729,78,0.001000000000000000020816681712,1,0.25
42,42_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,2946,132,0.9989999999999999991118215803,37,0.010000000000000000208166817117
43,43_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2580,11,0.249106156354118729590041425581,50,0.010000000000000000208166817117
44,44_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.280000000000000026645352591004,1023,3678,1476,0.405502017489302646335858071325,35,0.010000000000000000208166817117
45,45_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.320000000000000006661338147751,1159,4211,1135,0.9989999999999999991118215803,16,0.25
46,46_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,4927,138,0.333475649876999236109753610435,13,0.025000000000000001387778780781
47,47_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3198,1,0.9989999999999999991118215803,9,0.25
48,48_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,2817,123,0.001000000000000000020816681712,38,0.005000000000000000104083408559
49,49_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,1689,269,0.001000000000000000020816681712,35,0.010000000000000000208166817117
50,50_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.160000000000000003330669073875,838,5000,4350,0.001000000000000000020816681712,50,0.010000000000000000208166817117
51,51_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4212,57,0.001000000000000000020816681712,34,0.005000000000000000104083408559
52,52_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.280000000000000026645352591004,1012,5000,1657,0.9989999999999999991118215803,17,0.001000000000000000020816681712
53,53_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,987,5000,2538,0.9989999999999999991118215803,34,0.100000000000000005551115123126
54,54_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1973,1,0.001000000000000000020816681712,17,0.025000000000000001387778780781
55,55_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,4999,155,0.9989999999999999991118215803,6,0.025000000000000001387778780781
56,56_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,4620,298,0.001000000000000000020816681712,1,0.005000000000000000104083408559
57,57_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.359999999999999986677323704498,1096,968,537,0.001000000000000000020816681712,38,0.010000000000000000208166817117
58,58_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3108,1,0.9989999999999999991118215803,2,0.005000000000000000104083408559
59,59_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,4997,92,0.03249508136536128494187281035,35,0.010000000000000000208166817117
60,60_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3227,1,0.231125553848025688807865662966,27,0.100000000000000005551115123126
61,61_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,1,0.001000000000000000020816681712,50,0.25
62,62_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3327,1,0.32383111654357055186892466736,28,0.100000000000000005551115123126
63,63_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.05999999999999999777955395075,1173,2681,1,0.177366002263627087209840738069,1,0.100000000000000005551115123126
64,64_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3416,1,0.658820351995305975023597966356,40,0.100000000000000005551115123126
65,65_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3970,1,0.044647250281496318746743412476,30,0.100000000000000005551115123126
66,66_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.040000000000000000832667268469,1347,1,438,0.037115012918426081023337559373,50,0.010000000000000000208166817117
67,67_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3243,1,0.204773288686230209298955173836,39,0.100000000000000005551115123126
68,68_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.130000000000000004440892098501,2284,4910,53,0.13343643992229456407550003405,1,0.001000000000000000020816681712
69,69_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3246,1,0.45527777442545863673117878534,38,0.100000000000000005551115123126
70,70_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.19000000000000000222044604925,1351,3812,3016,0.001000000000000000020816681712,50,0.010000000000000000208166817117
71,71_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3256,1,0.514056726630315541370919163455,37,0.100000000000000005551115123126
72,72_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.040000000000000000832667268469,1305,1,435,0.001000000000000000020816681712,36,0.25
73,73_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.130000000000000004440892098501,960,307,1306,0.001000000000000000020816681712,42,0.010000000000000000208166817117
74,74_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.350000000000000033306690738755,1631,4363,841,0.001000000000000000020816681712,7,0.025000000000000001387778780781
75,75_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.359999999999999986677323704498,1843,5000,735,0.001000000000000000020816681712,50,0.001000000000000000020816681712
76,76_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1822,1,0.9989999999999999991118215803,50,0.001000000000000000020816681712
77,77_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1810,1,0.9989999999999999991118215803,50,0.010000000000000000208166817117
78,78_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1837,1,0.9989999999999999991118215803,50,0.001000000000000000020816681712
79,79_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1841,1,0.9989999999999999991118215803,50,0.010000000000000000208166817117
80,80_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.340000000000000024424906541753,1729,1711,879,0.001000000000000000020816681712,44,0.010000000000000000208166817117
81,81_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1885,1,0.9989999999999999991118215803,43,0.001000000000000000020816681712
82,82_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1831,1,0.9989999999999999991118215803,43,0.005000000000000000104083408559
83,83_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1862,1,0.9989999999999999991118215803,42,0.001000000000000000020816681712
84,84_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.289999999999999980015985556747,1117,1479,1150,0.380453336011046916453892663412,49,0.001000000000000000020816681712
85,85_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1855,1,0.9989999999999999991118215803,42,0.001000000000000000020816681712
86,86_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.330000000000000015543122344752,1177,4823,1074,0.583140066308557525331934812129,50,0.025000000000000001387778780781
87,87_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1860,1,0.9989999999999999991118215803,43,0.001000000000000000020816681712
88,88_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.320000000000000006661338147751,1082,1559,1018,0.530449996239050647339752231346,45,0.005000000000000000104083408559
89,89_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1858,1,0.9989999999999999991118215803,43,0.001000000000000000020816681712
90,90_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1841,1,0.9989999999999999991118215803,42,0.010000000000000000208166817117
91,91_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1920,1,0.9989999999999999991118215803,42,0.001000000000000000020816681712
92,92_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.230000000000000009992007221626,1145,4953,2260,0.512467504042550370257913527894,49,0.010000000000000000208166817117
93,93_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1852,1,0.9989999999999999991118215803,42,0.001000000000000000020816681712
94,94_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.280000000000000026645352591004,1344,4565,1645,0.9989999999999999991118215803,41,0.025000000000000001387778780781
95,95_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.260000000000000008881784197001,1026,1359,1498,0.9989999999999999991118215803,15,0.025000000000000001387778780781
96,96_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.30999999999999999777955395075,1168,4652,1302,0.001000000000000000020816681712,35,0.010000000000000000208166817117
97,97_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1517,1,0.354132806888999340788615199926,24,0.001000000000000000020816681712
98,98_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.270000000000000017763568394003,1041,3824,1508,0.001000000000000000020816681712,20,0.025000000000000001387778780781
99,99_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1531,1,0.366740018670500489417207745646,24,0.001000000000000000020816681712
100,100_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1557,1,0.740574466743311621286238732864,26,0.001000000000000000020816681712
101,101_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.25,996,3120,1304,0.26543430938806483743164221778,43,0.001000000000000000020816681712
102,102_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1597,1,0.566295091289244156840254618146,26,0.001000000000000000020816681712
103,103_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1275,1,0.9989999999999999991118215803,25,0.005000000000000000104083408559
104,104_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1736,1,0.001000000000000000020816681712,26,0.001000000000000000020816681712
105,105_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1322,1,0.9989999999999999991118215803,25,0.005000000000000000104083408559
106,106_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1721,1,0.001000000000000000020816681712,26,0.001000000000000000020816681712
107,107_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1285,1,0.9989999999999999991118215803,25,0.001000000000000000020816681712
108,108_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1723,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
109,109_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.359999999999999986677323704498,1230,1444,701,0.9989999999999999991118215803,26,0.001000000000000000020816681712
110,110_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1598,1,0.9989999999999999991118215803,26,0.005000000000000000104083408559
111,111_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.289999999999999980015985556747,1127,1303,1097,0.9989999999999999991118215803,26,0.001000000000000000020816681712
112,112_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.230000000000000009992007221626,1132,1267,1698,0.025572645946143713474585368317,28,0.001000000000000000020816681712
113,113_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1568,1,0.9989999999999999991118215803,26,0.005000000000000000104083408559
114,114_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1300,1,0.9989999999999999991118215803,26,0.025000000000000001387778780781
115,115_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.260000000000000008881784197001,971,1445,1587,0.9989999999999999991118215803,30,0.25
116,116_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.160000000000000003330669073875,916,5000,4125,0.9989999999999999991118215803,1,0.25
117,117_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1549,1,0.9989999999999999991118215803,26,0.005000000000000000104083408559
118,118_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1376,1,0.001000000000000000020816681712,24,0.010000000000000000208166817117
119,119_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1477,1,0.001000000000000000020816681712,25,0.005000000000000000104083408559
120,120_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1494,1,0.001000000000000000020816681712,25,0.005000000000000000104083408559
121,121_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1228,1,0.001000000000000000020816681712,21,0.010000000000000000208166817117
122,122_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1572,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
123,123_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1233,1,0.9989999999999999991118215803,23,0.010000000000000000208166817117
124,124_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1550,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
125,125_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1114,1,0.001000000000000000020816681712,22,0.010000000000000000208166817117
126,126_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1115,1,0.9989999999999999991118215803,22,0.001000000000000000020816681712
127,127_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1379,1,0.9989999999999999991118215803,24,0.010000000000000000208166817117
128,128_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.300000000000000044408920985006,1158,5000,1335,0.001000000000000000020816681712,50,0.001000000000000000020816681712
129,129_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1279,1,0.9989999999999999991118215803,22,0.010000000000000000208166817117
130,130_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1690,1,0.9989999999999999991118215803,27,0.25
131,131_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1110,1,0.9989999999999999991118215803,19,0.010000000000000000208166817117
132,132_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1534,1,0.001000000000000000020816681712,27,0.010000000000000000208166817117
133,133_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1085,1,0.9989999999999999991118215803,23,0.010000000000000000208166817117
134,134_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1578,1,0.001000000000000000020816681712,25,0.005000000000000000104083408559
135,135_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1268,1,0.9989999999999999991118215803,21,0.010000000000000000208166817117
136,136_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1568,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
137,137_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.300000000000000044408920985006,1011,3284,1016,0.9989999999999999991118215803,38,0.005000000000000000104083408559
138,138_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1518,1,0.001000000000000000020816681712,25,0.005000000000000000104083408559
139,139_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1333,1,0.9989999999999999991118215803,25,0.010000000000000000208166817117
140,140_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1527,1,0.001000000000000000020816681712,25,0.005000000000000000104083408559
141,141_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1339,1,0.9989999999999999991118215803,25,0.010000000000000000208166817117
142,142_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1562,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
143,143_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1300,1,0.9989999999999999991118215803,24,0.010000000000000000208166817117
144,144_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1577,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
145,145_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1220,1,0.9989999999999999991118215803,20,0.010000000000000000208166817117
146,146_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1602,1,0.001000000000000000020816681712,26,0.001000000000000000020816681712
147,147_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1304,1,0.9989999999999999991118215803,24,0.010000000000000000208166817117
148,148_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,1332,3253,1891,0.001000000000000000020816681712,50,0.100000000000000005551115123126
149,149_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1525,1,0.001000000000000000020816681712,25,0.005000000000000000104083408559
150,150_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1251,1,0.9989999999999999991118215803,23,0.010000000000000000208166817117
151,151_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1568,1,0.001000000000000000020816681712,26,0.010000000000000000208166817117
152,152_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1407,1,0.001000000000000000020816681712,23,0.010000000000000000208166817117
153,153_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,1034,4684,2970,0.9989999999999999991118215803,1,0.025000000000000001387778780781
154,154_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1542,1,0.001000000000000000020816681712,25,0.005000000000000000104083408559
155,155_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1371,1,0.9989999999999999991118215803,26,0.010000000000000000208166817117
156,156_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1565,1,0.001000000000000000020816681712,25,0.001000000000000000020816681712
157,157_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1364,1,0.9989999999999999991118215803,24,0.010000000000000000208166817117
158,158_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1302,1,0.001000000000000000020816681712,25,0.005000000000000000104083408559
159,159_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1377,1,0.9989999999999999991118215803,25,0.010000000000000000208166817117
160,160_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1403,1,0.001000000000000000020816681712,25,0.005000000000000000104083408559
161,161_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.340000000000000024424906541753,1276,3852,898,0.9989999999999999991118215803,43,0.010000000000000000208166817117
162,162_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1427,1,0.001000000000000000020816681712,25,0.005000000000000000104083408559
163,163_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1367,1,0.9989999999999999991118215803,25,0.010000000000000000208166817117
164,164_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1431,1,0.001000000000000000020816681712,25,0.005000000000000000104083408559
165,165_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1387,1,0.9989999999999999991118215803,25,0.010000000000000000208166817117
166,166_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1395,1,0.001000000000000000020816681712,24,0.005000000000000000104083408559
167,167_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1315,1,0.9989999999999999991118215803,24,0.010000000000000000208166817117
168,168_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1522,1,0.001000000000000000020816681712,25,0.005000000000000000104083408559
169,169_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1204,1,0.9989999999999999991118215803,22,0.010000000000000000208166817117
170,170_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1728,1,0.001000000000000000020816681712,24,0.005000000000000000104083408559
171,171_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1304,1,0.9989999999999999991118215803,26,0.010000000000000000208166817117
172,172_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1713,1,0.001000000000000000020816681712,27,0.005000000000000000104083408559
173,173_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1319,1,0.9989999999999999991118215803,24,0.010000000000000000208166817117
174,174_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1669,1,0.001000000000000000020816681712,27,0.005000000000000000104083408559
175,175_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1327,1,0.9989999999999999991118215803,26,0.010000000000000000208166817117
176,176_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.209999999999999992228438827624,1042,4078,2631,0.001000000000000000020816681712,50,0.100000000000000005551115123126
177,177_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1639,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
178,178_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1368,1,0.9989999999999999991118215803,24,0.010000000000000000208166817117
179,179_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1541,1,0.001000000000000000020816681712,30,0.005000000000000000104083408559
180,180_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1538,1,0.793715407053184440755444484239,27,0.010000000000000000208166817117
181,181_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1517,1,0.001000000000000000020816681712,27,0.005000000000000000104083408559
182,182_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1586,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
183,183_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1538,1,0.001000000000000000020816681712,27,0.005000000000000000104083408559
184,184_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1660,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
185,185_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1470,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
186,186_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1583,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
187,187_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1426,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
188,188_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1624,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
189,189_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1493,1,0.001000000000000000020816681712,27,0.005000000000000000104083408559
190,190_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1599,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
191,191_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1414,1,0.001000000000000000020816681712,27,0.005000000000000000104083408559
192,192_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1620,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
193,193_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1499,1,0.001000000000000000020816681712,27,0.005000000000000000104083408559
194,194_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1633,1,0.87008831649439943856094714647,28,0.010000000000000000208166817117
195,185_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1470,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
196,196_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1628,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
197,197_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1507,1,0.001000000000000000020816681712,27,0.005000000000000000104083408559
198,198_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1625,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
199,199_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1431,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
200,200_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1574,1,0.731444539851955344289535787539,27,0.010000000000000000208166817117
201,201_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1473,1,0.001000000000000000020816681712,27,0.005000000000000000104083408559
202,202_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1573,1,0.9989999999999999991118215803,27,0.010000000000000000208166817117
203,203_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1501,1,0.001000000000000000020816681712,27,0.010000000000000000208166817117
204,204_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1563,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
205,205_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1457,1,0.001000000000000000020816681712,26,0.010000000000000000208166817117
206,206_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1555,1,0.9989999999999999991118215803,28,0.005000000000000000104083408559
207,207_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1579,1,0.001000000000000000020816681712,27,0.010000000000000000208166817117
208,208_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1597,1,0.9989999999999999991118215803,28,0.005000000000000000104083408559
209,209_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1603,1,0.001000000000000000020816681712,27,0.010000000000000000208166817117
210,210_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1485,1,0.9989999999999999991118215803,27,0.005000000000000000104083408559
211,211_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1599,1,0.25826480166250875836198019897,27,0.010000000000000000208166817117
212,212_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1419,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
213,213_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1609,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
214,214_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3750,1,0.001000000000000000020816681712,40,0.25
215,215_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1565,1,0.75114564819046070187624764003,28,0.010000000000000000208166817117
216,189_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1493,1,0.001000000000000000020816681712,27,0.005000000000000000104083408559
217,217_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1608,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
218,218_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1466,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
219,219_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1632,1,0.991194248098206664998599535465,28,0.010000000000000000208166817117
220,220_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1565,1,0.180814335644128826308119073474,27,0.010000000000000000208166817117
221,221_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1527,1,0.9989999999999999991118215803,28,0.005000000000000000104083408559
222,222_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1600,1,0.9989999999999999991118215803,27,0.010000000000000000208166817117
223,223_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1491,1,0.001000000000000000020816681712,27,0.005000000000000000104083408559
224,224_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1607,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
225,225_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1465,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
226,226_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1616,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
227,227_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1411,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
228,228_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1644,1,0.927930947862149135829668011866,28,0.010000000000000000208166817117
229,229_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1508,1,0.001000000000000000020816681712,27,0.005000000000000000104083408559
230,188_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1624,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
231,231_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1424,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
232,232_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1636,1,0.317666666649199402883141374332,27,0.010000000000000000208166817117
233,233_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1409,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
234,234_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1617,1,0.628200369400741642778029927285,28,0.010000000000000000208166817117
235,235_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1464,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
236,236_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1618,1,0.920136122940962475347248528124,28,0.010000000000000000208166817117
237,237_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1438,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
238,238_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1680,1,0.990829759702948953403733867162,28,0.010000000000000000208166817117
239,239_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1474,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
240,240_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1564,1,0.669297598265388815619303386484,27,0.010000000000000000208166817117
241,241_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1485,1,0.001000000000000000020816681712,27,0.005000000000000000104083408559
242,242_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1598,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
243,243_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1514,1,0.001000000000000000020816681712,27,0.005000000000000000104083408559
244,244_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1588,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
245,245_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1542,1,0.001000000000000000020816681712,27,0.010000000000000000208166817117
246,246_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1516,1,0.9989999999999999991118215803,28,0.005000000000000000104083408559
247,247_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1598,1,0.001000000000000000020816681712,27,0.010000000000000000208166817117
248,248_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1513,1,0.9989999999999999991118215803,27,0.005000000000000000104083408559
249,249_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1584,1,0.001000000000000000020816681712,27,0.010000000000000000208166817117
250,250_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1434,1,0.9989999999999999991118215803,27,0.010000000000000000208166817117
251,251_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1521,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
252,190_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1599,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
253,253_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1472,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
254,254_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1621,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
255,255_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1476,1,0.001000000000000000020816681712,27,0.005000000000000000104083408559
256,256_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1643,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
257,257_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1492,1,0.001000000000000000020816681712,27,0.005000000000000000104083408559
258,258_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1611,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
259,259_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1489,1,0.001000000000000000020816681712,27,0.005000000000000000104083408559
260,260_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1570,1,0.459467035996481643067568256811,27,0.010000000000000000208166817117
261,261_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3814,1,0.001000000000000000020816681712,39,0.25
262,262_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1539,1,0.747927538288890580986389977625,27,0.010000000000000000208166817117
263,263_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1418,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
264,264_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1623,1,0.533612418273837540994009032147,28,0.010000000000000000208166817117
265,223_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1491,1,0.001000000000000000020816681712,27,0.005000000000000000104083408559
266,266_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1565,1,0.9989999999999999991118215803,27,0.010000000000000000208166817117
267,267_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1471,1,0.001000000000000000020816681712,27,0.005000000000000000104083408559
268,268_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1601,1,0.936145606967785925967007187865,28,0.010000000000000000208166817117
269,269_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3802,1,0.001000000000000000020816681712,36,0.010000000000000000208166817117
270,270_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1572,1,0.246999306575632210369874997014,27,0.010000000000000000208166817117
271,271_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1503,1,0.9989999999999999991118215803,28,0.005000000000000000104083408559
272,272_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1609,1,0.001000000000000000020816681712,27,0.010000000000000000208166817117
273,273_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1506,1,0.9989999999999999991118215803,28,0.005000000000000000104083408559
274,274_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1580,1,0.001000000000000000020816681712,27,0.010000000000000000208166817117
275,275_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1500,1,0.9989999999999999991118215803,27,0.010000000000000000208166817117
276,276_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1565,1,0.001000000000000000020816681712,27,0.010000000000000000208166817117
277,277_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1466,1,0.9989999999999999991118215803,28,0.005000000000000000104083408559
278,278_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1605,1,0.001000000000000000020816681712,27,0.010000000000000000208166817117
279,279_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1480,1,0.9989999999999999991118215803,28,0.005000000000000000104083408559
280,280_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1502,1,0.383634233752573439168997992965,27,0.010000000000000000208166817117
281,281_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1521,1,0.001000000000000000020816681712,27,0.005000000000000000104083408559
282,282_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1614,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
283,283_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1499,1,0.001000000000000000020816681712,27,0.010000000000000000208166817117
284,284_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1501,1,0.9989999999999999991118215803,27,0.005000000000000000104083408559
285,285_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1588,1,0.001000000000000000020816681712,27,0.010000000000000000208166817117
286,286_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1473,1,0.9989999999999999991118215803,27,0.005000000000000000104083408559
287,287_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1583,1,0.603438650417102095957488927525,27,0.010000000000000000208166817117
288,288_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1511,1,0.001000000000000000020816681712,27,0.005000000000000000104083408559
289,289_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1593,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
290,290_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1428,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
291,291_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1645,1,0.904569477913035879801384453458,28,0.010000000000000000208166817117
292,212_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1419,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
293,293_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1623,1,0.923289160083326621020205493551,28,0.010000000000000000208166817117
294,189_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1493,1,0.001000000000000000020816681712,27,0.005000000000000000104083408559
295,295_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1617,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
296,187_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1426,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
297,297_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1612,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
298,298_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1435,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
299,299_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1587,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
300,300_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1557,1,0.524716365477343793521924908418,27,0.010000000000000000208166817117
301,301_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1441,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
302,299_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1587,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
303,303_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1476,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
304,304_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1610,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
305,305_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1487,1,0.001000000000000000020816681712,27,0.005000000000000000104083408559
306,306_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1618,1,0.904130110114466312154490879038,28,0.010000000000000000208166817117
307,307_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1478,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
308,308_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1647,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
309,309_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1463,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
310,310_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1585,1,0.9989999999999999991118215803,27,0.010000000000000000208166817117
311,311_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1487,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
312,192_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1620,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
313,313_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1439,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
314,188_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1624,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
315,315_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1483,1,0.001000000000000000020816681712,26,0.010000000000000000208166817117
316,316_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1562,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
317,317_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1479,1,0.001000000000000000020816681712,27,0.005000000000000000104083408559
318,318_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1620,1,0.982368649783248781837130536587,28,0.010000000000000000208166817117
319,319_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1425,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
320,320_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1591,1,0.638344047496977040623278298881,27,0.010000000000000000208166817117
321,321_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1405,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
322,226_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1616,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
323,323_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1519,1,0.001000000000000000020816681712,27,0.005000000000000000104083408559
324,224_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1607,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
325,325_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3682,1,0.001000000000000000020816681712,40,0.25
326,326_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1572,1,0.397541769822993940053379446908,27,0.010000000000000000208166817117
327,327_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1437,1,0.001000000000000000020816681712,27,0.005000000000000000104083408559
328,328_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1606,1,0.650907711902078855992215267179,28,0.010000000000000000208166817117
329,329_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1442,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
330,330_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1626,1,0.793523690327516906251048567356,28,0.010000000000000000208166817117
331,331_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1450,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
332,332_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1646,1,0.842416661050871429239350618445,28,0.010000000000000000208166817117
333,333_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1384,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
334,334_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1633,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
335,335_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1457,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
336,336_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1610,1,0.877973296468523289881602522655,28,0.010000000000000000208166817117
337,313_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1439,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
338,338_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1642,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
339,298_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1435,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
340,340_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1555,1,0.688128635440578673154732314288,27,0.010000000000000000208166817117
341,341_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1653,1,0.001000000000000000020816681712,27,0.010000000000000000208166817117
342,342_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1469,1,0.813847873154957768271344775712,26,0.005000000000000000104083408559
343,343_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1555,1,0.001000000000000000020816681712,27,0.010000000000000000208166817117
344,344_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3752,1,0.001000000000000000020816681712,41,0.25
345,345_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1558,1,0.001000000000000000020816681712,27,0.010000000000000000208166817117
346,346_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1558,1,0.9989999999999999991118215803,28,0.005000000000000000104083408559
347,347_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1546,1,0.001000000000000000020816681712,27,0.010000000000000000208166817117
348,348_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1494,1,0.9989999999999999991118215803,27,0.005000000000000000104083408559
349,349_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1635,1,0.048331449502021409103669213891,28,0.010000000000000000208166817117
350,350_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1440,1,0.9989999999999999991118215803,27,0.010000000000000000208166817117
351,351_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1505,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
352,192_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1620,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
353,329_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1442,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
354,354_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1623,1,0.509918744420601810496407324536,28,0.010000000000000000208166817117
355,355_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1469,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
356,356_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1629,1,0.773370422484878972113619965967,28,0.010000000000000000208166817117
357,357_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1315,1,0.001000000000000000020816681712,24,0.010000000000000000208166817117
358,358_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1803,1,0.9989999999999999991118215803,29,0.010000000000000000208166817117
359,359_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1437,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
360,360_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1538,1,0.512430814243970522703364167683,27,0.010000000000000000208166817117
361,361_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3757,1,0.001000000000000000020816681712,39,0.25
362,362_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1550,1,0.487140265979398690010526706828,27,0.010000000000000000208166817117
363,363_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1517,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
364,364_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1634,1,0.953247342235053252146315116988,28,0.010000000000000000208166817117
365,365_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1473,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
366,366_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1632,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
367,367_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1470,1,0.001000000000000000020816681712,27,0.005000000000000000104083408559
368,368_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1578,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
369,369_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1467,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
370,370_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1626,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
371,281_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1521,1,0.001000000000000000020816681712,27,0.005000000000000000104083408559
372,372_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1574,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
373,373_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3698,1,0.001000000000000000020816681712,37,0.25
374,374_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1594,1,0.437954482716237991635210846653,27,0.010000000000000000208166817117
375,375_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1477,1,0.855984986461849395311674015829,27,0.005000000000000000104083408559
376,376_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1616,1,0.001000000000000000020816681712,27,0.010000000000000000208166817117
377,377_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1513,1,0.9989999999999999991118215803,28,0.005000000000000000104083408559
378,378_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1619,1,0.001000000000000000020816681712,27,0.010000000000000000208166817117
379,379_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1505,1,0.9989999999999999991118215803,27,0.005000000000000000104083408559
380,380_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1538,1,0.276162844982334509946753087206,27,0.010000000000000000208166817117
381,381_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1436,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
382,188_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1624,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
383,383_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1523,1,0.001000000000000000020816681712,27,0.005000000000000000104083408559
384,384_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1604,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
385,385_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1484,1,0.001000000000000000020816681712,27,0.005000000000000000104083408559
386,386_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1622,1,0.519027795004799896716463081248,28,0.010000000000000000208166817117
387,359_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1437,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
388,388_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1569,1,0.959468204079397479766555534297,27,0.010000000000000000208166817117
389,389_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1501,1,0.001000000000000000020816681712,27,0.005000000000000000104083408559
390,390_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1622,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
391,331_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1450,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
392,196_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1628,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
393,393_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1376,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
394,394_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1580,1,0.825272058818193210427693884412,27,0.010000000000000000208166817117
395,395_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1439,1,0.001000000000000000020816681712,27,0.005000000000000000104083408559
396,396_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1629,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
397,183_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1538,1,0.001000000000000000020816681712,27,0.005000000000000000104083408559
398,398_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1619,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
399,199_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1431,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
400,400_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1567,1,0.693417444812498784401100238028,27,0.010000000000000000208166817117
401,401_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1483,1,0.001000000000000000020816681712,27,0.005000000000000000104083408559
402,402_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1612,1,0.580042621306449346363365293655,28,0.010000000000000000208166817117
403,235_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1464,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
404,404_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1600,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
405,405_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1505,1,0.001000000000000000020816681712,27,0.005000000000000000104083408559
406,192_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1620,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
407,407_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1531,1,0.001000000000000000020816681712,27,0.010000000000000000208166817117
408,408_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1491,1,0.9989999999999999991118215803,28,0.005000000000000000104083408559
409,409_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1594,1,0.001000000000000000020816681712,28,0.010000000000000000208166817117
410,410_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1429,1,0.9989999999999999991118215803,27,0.005000000000000000104083408559
411,376_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1616,1,0.001000000000000000020816681712,27,0.010000000000000000208166817117
412,412_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1470,1,0.9989999999999999991118215803,27,0.005000000000000000104083408559
413,413_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1615,1,0.017290914134856595618661145863,27,0.010000000000000000208166817117
414,377_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1513,1,0.9989999999999999991118215803,28,0.005000000000000000104083408559
415,278_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1605,1,0.001000000000000000020816681712,27,0.010000000000000000208166817117
416,416_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1409,1,0.843324540513117337781068272307,27,0.005000000000000000104083408559
417,417_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1594,1,0.034637597958127798458694002193,27,0.010000000000000000208166817117
418,418_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1550,1,0.9989999999999999991118215803,28,0.005000000000000000104083408559
419,419_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1613,1,0.001000000000000000020816681712,27,0.010000000000000000208166817117
420,420_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1543,1,0.598530120636348694773687384441,27,0.010000000000000000208166817117
421,421_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1455,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
422,226_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1616,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
423,423_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1529,1,0.001000000000000000020816681712,27,0.005000000000000000104083408559
424,190_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1599,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
425,425_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1490,1,0.001000000000000000020816681712,27,0.005000000000000000104083408559
426,426_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1597,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
427,425_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1490,1,0.001000000000000000020816681712,27,0.005000000000000000104083408559
428,428_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1615,1,0.372322487242331412460316641955,28,0.010000000000000000208166817117
429,429_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1416,1,0.001000000000000000020816681712,27,0.005000000000000000104083408559
430,430_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1615,1,0.807260944754086384733682280057,28,0.010000000000000000208166817117
431,307_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1478,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
432,188_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1624,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
433,369_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1467,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
434,434_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1374,1,0.9989999999999999991118215803,25,0.010000000000000000208166817117
435,435_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1621,1,0.001000000000000000020816681712,28,0.005000000000000000104083408559
436,436_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1603,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
437,437_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1446,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
438,438_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1579,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
439,185_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1470,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
440,440_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1559,1,0.825987408910257236982488393551,28,0.010000000000000000208166817117
441,441_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1461,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
442,217_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1608,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
443,309_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1463,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
444,213_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1609,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
445,445_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1444,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
446,446_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1615,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
447,447_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1451,1,0.089649621480783592275543014694,26,0.010000000000000000208166817117
448,448_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3758,1,0.001000000000000000020816681712,39,0.25
449,449_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1563,1,0.129491013850947606078634066762,27,0.010000000000000000208166817117
450,450_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1397,1,0.499103089207236449986737625295,27,0.005000000000000000104083408559
451,451_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1627,1,0.343368878151771750317777787131,27,0.010000000000000000208166817117
452,452_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1394,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
453,446_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1615,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
454,454_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1492,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
455,455_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1595,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
456,456_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1495,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
457,457_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1582,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
458,458_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1506,1,0.001000000000000000020816681712,27,0.005000000000000000104083408559
459,244_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1588,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
460,460_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1549,1,0.576620692471713436333402569289,27,0.010000000000000000208166817117
461,461_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1454,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
462,462_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1635,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
463,463_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1460,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
464,426_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1597,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
465,465_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3800,1,0.001000000000000000020816681712,41,0.25
466,466_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1570,1,0.659925906789398108998057068675,27,0.010000000000000000208166817117
467,405_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1505,1,0.001000000000000000020816681712,27,0.005000000000000000104083408559
468,468_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1586,1,0.9989999999999999991118215803,27,0.010000000000000000208166817117
469,317_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1479,1,0.001000000000000000020816681712,27,0.005000000000000000104083408559
470,304_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1610,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
471,471_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1510,1,0.001000000000000000020816681712,27,0.010000000000000000208166817117
472,472_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1544,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
473,185_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1470,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
474,474_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1596,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
475,475_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1515,1,0.001000000000000000020816681712,27,0.005000000000000000104083408559
476,476_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1600,1,0.737548633918381768559413558251,28,0.010000000000000000208166817117
477,477_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1482,1,0.001000000000000000020816681712,27,0.005000000000000000104083408559
478,478_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1622,1,0.898096438806562979983993955102,28,0.010000000000000000208166817117
479,239_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1474,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
480,480_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1530,1,0.411384391158866546955863441326,27,0.010000000000000000208166817117
481,425_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1490,1,0.001000000000000000020816681712,27,0.005000000000000000104083408559
482,482_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1649,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
483,483_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1432,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
484,484_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1668,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
485,485_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1448,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
486,486_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1648,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
487,311_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1487,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
488,488_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1587,1,0.9989999999999999991118215803,27,0.010000000000000000208166817117
489,489_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1540,1,0.005018278513443521354764342846,27,0.005000000000000000104083408559
490,490_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1600,1,0.867658690101562712904126328795,28,0.010000000000000000208166817117
491,463_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1460,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
492,226_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1616,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
493,493_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1509,1,0.001000000000000000020816681712,27,0.005000000000000000104083408559
494,494_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1613,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
495,187_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1426,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
496,496_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1602,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
497,497_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1402,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
498,498_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1626,1,0.48929389826317293277213593683,27,0.010000000000000000208166817117
499,227_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1411,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
500,500_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1588,1,0.298460251520866304275614311337,27,0.010000000000000000208166817117
501,501_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1407,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
502,502_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1603,1,0.44056692606192332517522913804,27,0.010000000000000000208166817117
503,298_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1435,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
504,188_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1624,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
505,212_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1419,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
506,506_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1645,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
507,507_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1440,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
508,198_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1625,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
509,509_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1468,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
510,510_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1572,1,0.67509433032248955530718603768,28,0.010000000000000000208166817117
511,241_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1485,1,0.001000000000000000020816681712,27,0.005000000000000000104083408559
512,426_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1597,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
513,513_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1448,1,0.001000000000000000020816681712,27,0.005000000000000000104083408559
514,254_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1621,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
515,233_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1409,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
516,516_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1640,1,0.662439818391630241833922809747,28,0.010000000000000000208166817117
517,517_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1450,1,0.001000000000000000020816681712,27,0.010000000000000000208166817117
518,518_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1521,1,0.9989999999999999991118215803,28,0.005000000000000000104083408559
519,519_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1622,1,0.047299730331693261298209307597,27,0.010000000000000000208166817117
520,520_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1568,1,0.50988757836455933514230309811,27,0.010000000000000000208166817117
521,521_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1462,1,0.001000000000000000020816681712,27,0.005000000000000000104083408559
522,222_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1600,1,0.9989999999999999991118215803,27,0.010000000000000000208166817117
523,523_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3805,1,0.001000000000000000020816681712,42,0.25
524,524_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1544,1,0.363697787842798103685737487467,27,0.010000000000000000208166817117
525,401_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1483,1,0.001000000000000000020816681712,27,0.005000000000000000104083408559
526,526_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1594,1,0.744902390376905976232535522286,27,0.010000000000000000208166817117
527,527_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1464,1,0.001000000000000000020816681712,27,0.005000000000000000104083408559
528,528_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1638,1,0.83718499716487748685267433757,28,0.010000000000000000208166817117
529,267_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1471,1,0.001000000000000000020816681712,27,0.005000000000000000104083408559
530,530_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1624,1,0.6631250494607756618137273108,28,0.010000000000000000208166817117
531,531_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1453,1,0.001000000000000000020816681712,27,0.005000000000000000104083408559
532,192_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1620,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
533,533_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1497,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
534,534_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1601,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
535,237_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1438,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
536,536_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1614,1,0.830379250969013216199243743176,28,0.010000000000000000208166817117
537,425_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1490,1,0.001000000000000000020816681712,27,0.005000000000000000104083408559
538,538_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1630,1,0.83970305764124342218224228418,27,0.010000000000000000208166817117
539,301_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1441,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
540,540_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1521,1,0.379661004022089187959210221379,27,0.010000000000000000208166817117
541,541_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1492,1,0.902685664612466465150930616801,27,0.005000000000000000104083408559
542,542_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1631,1,0.044321025215655618367804891022,27,0.010000000000000000208166817117
543,543_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1462,1,0.9989999999999999991118215803,27,0.005000000000000000104083408559
544,544_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1597,1,0.001000000000000000020816681712,27,0.010000000000000000208166817117
545,545_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3785,1,0.001000000000000000020816681712,42,0.25
546,546_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1553,1,0.828162144434346547683389871963,27,0.010000000000000000208166817117
547,547_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1401,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
548,370_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1626,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
549,235_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1464,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
550,550_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1604,1,0.972329340734987002115019549819,28,0.010000000000000000208166817117
551,383_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1523,1,0.001000000000000000020816681712,27,0.005000000000000000104083408559
552,552_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1641,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
553,359_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1437,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
554,554_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1632,1,0.840879028671121631077767233364,28,0.010000000000000000208166817117
555,555_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1386,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
556,396_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1629,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
557,557_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1443,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
558,558_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1600,1,0.400588126763151974873977678726,28,0.010000000000000000208166817117
559,559_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1445,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
560,560_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1533,1,0.496210701239882701063521608376,27,0.010000000000000000208166817117
561,561_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1439,1,0.001000000000000000020816681712,25,0.005000000000000000104083408559
562,562_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1595,1,0.9989999999999999991118215803,27,0.010000000000000000208166817117
563,331_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1450,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
564,564_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1572,1,0.346796954904800058816505270443,28,0.010000000000000000208166817117
565,565_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1458,1,0.001000000000000000020816681712,27,0.010000000000000000208166817117
566,566_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1515,1,0.9989999999999999991118215803,27,0.005000000000000000104083408559
567,376_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1616,1,0.001000000000000000020816681712,27,0.010000000000000000208166817117
568,568_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1433,1,0.461834138987023135047849109469,26,0.005000000000000000104083408559
569,295_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1617,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
570,570_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1461,1,0.001000000000000000020816681712,27,0.005000000000000000104083408559
571,571_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1626,1,0.846913316557736051137794675014,28,0.010000000000000000208166817117
572,572_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1502,1,0.001000000000000000020816681712,27,0.005000000000000000104083408559
573,573_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1609,1,0.636760034400572494384107358201,27,0.010000000000000000208166817117
574,574_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1468,1,0.001000000000000000020816681712,27,0.005000000000000000104083408559
575,575_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1588,1,0.9989999999999999991118215803,27,0.010000000000000000208166817117
576,576_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1499,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
577,304_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1610,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
578,574_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1468,1,0.001000000000000000020816681712,27,0.005000000000000000104083408559
579,579_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1484,1,0.914146489299634268377303669695,27,0.010000000000000000208166817117
580,580_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1546,1,0.427476707929620836079465107105,27,0.010000000000000000208166817117
581,257_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1492,1,0.001000000000000000020816681712,27,0.005000000000000000104083408559
582,582_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1589,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
583,583_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3863,1,0.001000000000000000020816681712,40,0.25
584,584_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1631,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
585,585_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1449,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
586,188_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1624,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
587,477_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1482,1,0.001000000000000000020816681712,27,0.005000000000000000104083408559
588,588_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1600,1,0.875191618043034247342859544005,28,0.010000000000000000208166817117
589,331_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1450,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
590,289_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1593,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
591,369_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1467,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
592,592_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1642,1,0.986247095269500384517868951662,28,0.010000000000000000208166817117
593,593_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1447,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
594,594_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3706,1,0.001000000000000000020816681712,37,0.010000000000000000208166817117
595,595_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1574,1,0.385671298212246327352659136523,27,0.010000000000000000208166817117
596,223_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1491,1,0.001000000000000000020816681712,27,0.005000000000000000104083408559
597,213_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1609,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
598,454_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1492,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
599,599_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1629,1,0.879636490492993083911699159216,28,0.010000000000000000208166817117
600,600_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1549,1,0.565376832374504312284102525155,27,0.010000000000000000208166817117
601,601_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3813,1,0.001000000000000000020816681712,38,0.25
602,602_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1572,1,0.490636170634659307676628259287,27,0.010000000000000000208166817117
603,253_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1472,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
604,338_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1642,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
605,307_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1478,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
606,404_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1600,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
607,267_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1471,1,0.001000000000000000020816681712,27,0.005000000000000000104083408559
608,608_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1618,1,0.438067121798308090063756026211,28,0.010000000000000000208166817117
609,609_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1475,1,0.001000000000000000020816681712,27,0.005000000000000000104083408559
610,224_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1607,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
611,235_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1464,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
612,612_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1590,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
613,509_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1468,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
614,614_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1622,1,0.944475703637688068781130823481,28,0.010000000000000000208166817117
615,615_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1702,1,0.001000000000000000020816681712,28,0.005000000000000000104083408559
616,299_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1587,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
617,617_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1463,1,0.001000000000000000020816681712,26,0.010000000000000000208166817117
618,618_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3668,1,0.001000000000000000020816681712,39,0.25
619,619_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1552,1,0.29419175130038632826057209968,27,0.010000000000000000208166817117
620,620_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1527,1,0.517225806846111746395422414935,27,0.010000000000000000208166817117
621,621_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1472,1,0.001000000000000000020816681712,27,0.005000000000000000104083408559
622,622_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1594,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
623,623_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1518,1,0.001000000000000000020816681712,26,0.010000000000000000208166817117
624,624_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1557,1,0.9989999999999999991118215803,28,0.005000000000000000104083408559
625,625_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1639,1,0.151866781766602038095115290162,27,0.010000000000000000208166817117
626,626_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1502,1,0.985869451506783622818375079078,27,0.005000000000000000104083408559
627,627_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1598,1,0.092230222430580058312621360983,27,0.010000000000000000208166817117
628,628_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1508,1,0.9989999999999999991118215803,28,0.005000000000000000104083408559
629,629_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1607,1,0.235603409254413143081308135152,27,0.010000000000000000208166817117
630,630_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1446,1,0.9989999999999999991118215803,27,0.005000000000000000104083408559
631,631_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1598,1,0.002779991809944639888363404623,27,0.010000000000000000208166817117
632,632_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1528,1,0.506114334043405444951702065737,27,0.005000000000000000104083408559
633,633_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1600,1,0.635754498085264629914092893159,27,0.010000000000000000208166817117
634,634_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1434,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
635,635_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1592,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
636,636_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1481,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
637,637_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1583,1,0.863694136976660975513198081899,27,0.010000000000000000208166817117
638,197_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1507,1,0.001000000000000000020816681712,27,0.005000000000000000104083408559
639,639_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1613,1,0.73734631495660174493878002977,27,0.010000000000000000208166817117
640,640_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1549,1,0.492321428800856164542665283079,27,0.010000000000000000208166817117
641,641_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3792,1,0.001000000000000000020816681712,39,0.010000000000000000208166817117
642,642_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1549,1,0.236318690506951617491537831484,27,0.010000000000000000208166817117
643,643_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.400000000000000022204460492503,1586,1199,413,0.001000000000000000020816681712,24,0.005000000000000000104083408559
644,644_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1581,1,0.502748160156803902687272511685,27,0.010000000000000000208166817117
645,645_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3843,1,0.001000000000000000020816681712,40,0.005000000000000000104083408559
646,646_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1582,1,0.393974737063276458925997758342,27,0.010000000000000000208166817117
647,647_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1449,1,0.001000000000000000020816681712,26,0.025000000000000001387778780781
648,648_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1652,1,0.956860391080657013418431233731,29,0.010000000000000000208166817117
649,649_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1482,1,0.001000000000000000020816681712,26,0.010000000000000000208166817117
650,650_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1575,1,0.9989999999999999991118215803,28,0.005000000000000000104083408559
651,651_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1604,1,0.018606173903741488051544195059,27,0.010000000000000000208166817117
652,652_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1573,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
653,653_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.260000000000000008881784197001,1171,4687,1851,0.603677719212855512509463551396,36,0.100000000000000005551115123126
654,654_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2020,1,0.9989999999999999991118215803,28,0.25
655,655_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1372,1,0.9989999999999999991118215803,25,0.010000000000000000208166817117
656,656_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1434,1,0.001000000000000000020816681712,31,0.010000000000000000208166817117
657,657_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2123,1,0.001000000000000000020816681712,23,0.025000000000000001387778780781
658,658_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1364,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
659,659_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2322,1,0.9989999999999999991118215803,25,0.25
660,660_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1900,1,0.239454833129206623443252510697,25,0.025000000000000001387778780781
661,661_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2742,1,0.001000000000000000020816681712,22,0.25
662,662_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1922,1,0.001000000000000000020816681712,25,0.025000000000000001387778780781
663,663_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2182,1,0.001000000000000000020816681712,23,0.25
664,664_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1909,1,0.747413038544377683614072793716,25,0.025000000000000001387778780781
665,665_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2110,1,0.001000000000000000020816681712,26,0.25
666,666_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1918,1,0.9989999999999999991118215803,23,0.025000000000000001387778780781
667,667_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2795,1,0.001000000000000000020816681712,23,0.025000000000000001387778780781
668,668_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1499,1,0.885275870103499062935270558228,25,0.010000000000000000208166817117
669,669_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.280000000000000026645352591004,1044,3864,1478,0.9989999999999999991118215803,32,0.25
670,670_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1930,1,0.011981861225485420166525507568,24,0.025000000000000001387778780781
671,671_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2179,1,0.001000000000000000020816681712,26,0.25
672,672_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1893,1,0.001000000000000000020816681712,24,0.025000000000000001387778780781
673,673_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2071,1,0.001000000000000000020816681712,26,0.25
674,674_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1862,1,0.9989999999999999991118215803,27,0.025000000000000001387778780781
675,675_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2135,1,0.001000000000000000020816681712,26,0.25
676,676_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.239999999999999991118215802999,1046,4102,2193,0.992018328226981882522750311182,1,0.001000000000000000020816681712
677,677_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4577,1,0.001000000000000000020816681712,50,0.010000000000000000208166817117
678,678_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.260000000000000008881784197001,945,2578,820,0.001000000000000000020816681712,20,0.025000000000000001387778780781
679,679_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1383,1,0.001000000000000000020816681712,26,0.010000000000000000208166817117
680,680_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2017,1,0.456574142066395183281457548219,26,0.25
681,681_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1856,1,0.9989999999999999991118215803,27,0.025000000000000001387778780781
682,682_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2038,1,0.001000000000000000020816681712,26,0.25
683,683_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1936,1,0.9989999999999999991118215803,28,0.025000000000000001387778780781
684,684_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2009,1,0.001000000000000000020816681712,27,0.25
685,685_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1885,1,0.9989999999999999991118215803,28,0.025000000000000001387778780781
686,686_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1490,1,0.9989999999999999991118215803,25,0.010000000000000000208166817117
687,687_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3729,1,0.001000000000000000020816681712,44,0.25
688,688_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2040,1,0.382454517567754836981919197569,26,0.25
689,689_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1854,1,0.9989999999999999991118215803,28,0.025000000000000001387778780781
690,690_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2037,1,0.001000000000000000020816681712,26,0.25
691,691_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1828,1,0.9989999999999999991118215803,26,0.025000000000000001387778780781
692,692_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2163,1,0.001000000000000000020816681712,26,0.25
693,693_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1815,1,0.9989999999999999991118215803,28,0.025000000000000001387778780781
694,694_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2031,1,0.16512829137772302989795036865,26,0.25
695,695_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1924,1,0.9989999999999999991118215803,28,0.025000000000000001387778780781
696,696_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1649,1,0.9989999999999999991118215803,26,0.25
697,697_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2138,1,0.001000000000000000020816681712,25,0.25
698,698_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1854,1,0.9989999999999999991118215803,24,0.025000000000000001387778780781
699,699_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1466,1,0.9989999999999999991118215803,25,0.010000000000000000208166817117
700,700_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2081,1,0.245312172591840654822803458046,26,0.25
701,701_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1855,1,0.9989999999999999991118215803,26,0.025000000000000001387778780781
702,702_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2020,1,0.130528520482230514510035845888,26,0.25
703,703_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1857,1,0.9989999999999999991118215803,26,0.025000000000000001387778780781
704,704_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2051,1,0.001000000000000000020816681712,26,0.25
705,705_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1825,1,0.9989999999999999991118215803,29,0.025000000000000001387778780781
706,706_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1369,1,0.9989999999999999991118215803,24,0.010000000000000000208166817117
707,673_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2071,1,0.001000000000000000020816681712,26,0.25
708,708_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3714,1,0.001000000000000000020816681712,44,0.25
709,709_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2127,1,0.018850828608224581839358791058,26,0.25
710,710_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1788,1,0.9989999999999999991118215803,26,0.025000000000000001387778780781
711,711_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2034,1,0.020726337249918534710868556203,26,0.25
712,712_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3720,1,0.001000000000000000020816681712,45,0.25
713,713_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2047,1,0.272215073558463249714378662247,27,0.25
714,714_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1328,1,0.9989999999999999991118215803,23,0.010000000000000000208166817117
715,715_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2087,1,0.001000000000000000020816681712,27,0.25
716,716_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1355,1,0.9989999999999999991118215803,25,0.010000000000000000208166817117
717,717_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2086,1,0.001000000000000000020816681712,27,0.25
718,718_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1879,1,0.9989999999999999991118215803,25,0.025000000000000001387778780781
719,719_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1469,1,0.9989999999999999991118215803,25,0.010000000000000000208166817117
720,720_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2047,1,0.48654508293491732784374903531,26,0.25
721,721_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1775,1,0.9989999999999999991118215803,27,0.025000000000000001387778780781
722,722_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1455,1,0.9989999999999999991118215803,23,0.010000000000000000208166817117
723,723_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2090,1,0.001000000000000000020816681712,27,0.25
724,724_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1913,1,0.9989999999999999991118215803,27,0.025000000000000001387778780781
725,725_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1553,1,0.9989999999999999991118215803,25,0.25
726,726_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2115,1,0.001000000000000000020816681712,27,0.005000000000000000104083408559
727,727_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1896,1,0.9989999999999999991118215803,27,0.25
728,728_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1956,1,0.596321534621649718133085116278,27,0.025000000000000001387778780781
729,729_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2056,1,0.001000000000000000020816681712,27,0.25
730,730_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.340000000000000024424906541753,1854,3989,943,0.643407978820752401993843250239,48,0.100000000000000005551115123126
731,731_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2048,1,0.362189917224511825910582274446,26,0.25
732,732_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2026,1,0.9989999999999999991118215803,26,0.025000000000000001387778780781
733,733_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2028,1,0.210011206017661017364517306305,26,0.25
734,734_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3686,1,0.001000000000000000020816681712,45,0.25
735,735_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2005,1,0.606276452727556036670364392194,27,0.025000000000000001387778780781
736,736_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2036,1,0.253511547656335045619613310919,26,0.25
737,737_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1340,1,0.9989999999999999991118215803,23,0.010000000000000000208166817117
738,738_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4440,1,0.001000000000000000020816681712,50,0.010000000000000000208166817117
739,739_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2051,1,0.213622442491774755524147622054,26,0.25
740,740_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1708,1,0.001000000000000000020816681712,24,0.010000000000000000208166817117
741,741_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1833,1,0.001000000000000000020816681712,26,0.100000000000000005551115123126
742,742_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.359999999999999986677323704498,1530,1787,647,0.001000000000000000020816681712,24,0.100000000000000005551115123126
743,743_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1811,1,0.001000000000000000020816681712,25,0.005000000000000000104083408559
744,744_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.300000000000000044408920985006,1083,5000,1331,0.9989999999999999991118215803,41,0.100000000000000005551115123126
745,745_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1814,1,0.001000000000000000020816681712,26,0.100000000000000005551115123126
746,746_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2162,1,0.9989999999999999991118215803,33,0.25
747,747_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1763,1,0.001000000000000000020816681712,24,0.005000000000000000104083408559
748,748_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1787,1,0.001000000000000000020816681712,25,0.010000000000000000208166817117
749,749_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1851,1,0.001000000000000000020816681712,26,0.100000000000000005551115123126
750,750_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2241,1,0.9989999999999999991118215803,34,0.25
751,751_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4326,1,0.9989999999999999991118215803,40,0.100000000000000005551115123126
752,752_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1487,1,0.001000000000000000020816681712,26,0.100000000000000005551115123126
753,753_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.260000000000000008881784197001,907,839,1030,0.001000000000000000020816681712,22,0.025000000000000001387778780781
754,754_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1485,1,0.001000000000000000020816681712,26,0.010000000000000000208166817117
755,755_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4357,1,0.9989999999999999991118215803,42,0.010000000000000000208166817117
756,756_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1360,1,0.001000000000000000020816681712,25,0.010000000000000000208166817117
757,757_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1501,1,0.001000000000000000020816681712,27,0.100000000000000005551115123126
758,758_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1497,1,0.001000000000000000020816681712,26,0.010000000000000000208166817117
759,759_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1509,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
760,760_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1530,1,0.001000000000000000020816681712,26,0.100000000000000005551115123126
761,761_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1537,1,0.001000000000000000020816681712,26,0.010000000000000000208166817117
762,762_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1448,1,0.499465466185934570120252828929,24,0.100000000000000005551115123126
763,763_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4150,1,0.001000000000000000020816681712,43,0.100000000000000005551115123126
764,764_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1536,1,0.001000000000000000020816681712,26,0.010000000000000000208166817117
765,765_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4485,1,0.078431644533835873089877566144,47,0.010000000000000000208166817117
766,760_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1530,1,0.001000000000000000020816681712,26,0.100000000000000005551115123126
767,767_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1549,1,0.001000000000000000020816681712,26,0.010000000000000000208166817117
768,768_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1476,1,0.340811663461267400077048250751,26,0.100000000000000005551115123126
769,769_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4362,1,0.001000000000000000020816681712,45,0.010000000000000000208166817117
770,770_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1545,1,0.001000000000000000020816681712,26,0.010000000000000000208166817117
771,771_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4388,1,0.001000000000000000020816681712,44,0.010000000000000000208166817117
772,772_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1539,1,0.001000000000000000020816681712,26,0.010000000000000000208166817117
773,773_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1493,1,0.001000000000000000020816681712,26,0.100000000000000005551115123126
774,774_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1543,1,0.001000000000000000020816681712,26,0.010000000000000000208166817117
775,775_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1492,1,0.625998657144022474518862964032,26,0.100000000000000005551115123126
776,774_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1543,1,0.001000000000000000020816681712,26,0.010000000000000000208166817117
777,777_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1476,1,0.001000000000000000020816681712,26,0.100000000000000005551115123126
778,778_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4433,1,0.004714045415447756966209613694,45,0.100000000000000005551115123126
779,779_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1425,1,0.001000000000000000020816681712,25,0.010000000000000000208166817117
780,780_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1518,1,0.001000000000000000020816681712,26,0.100000000000000005551115123126
781,781_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4339,1,0.001000000000000000020816681712,45,0.100000000000000005551115123126
782,782_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1515,1,0.001000000000000000020816681712,26,0.010000000000000000208166817117
783,783_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1461,1,0.02154368095027139190511533684,25,0.100000000000000005551115123126
784,784_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1538,1,0.021030974670767862283460303274,26,0.010000000000000000208166817117
785,785_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1478,1,0.001000000000000000020816681712,25,0.100000000000000005551115123126
786,786_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1534,1,0.009028166096223691136635203236,26,0.010000000000000000208166817117
787,787_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4489,1,0.001000000000000000020816681712,46,0.010000000000000000208166817117
788,788_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1529,1,0.001000000000000000020816681712,26,0.010000000000000000208166817117
789,789_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1466,1,0.624167864217004209059780350799,25,0.100000000000000005551115123126
790,788_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1529,1,0.001000000000000000020816681712,26,0.010000000000000000208166817117
791,791_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1542,1,0.001000000000000000020816681712,27,0.100000000000000005551115123126
792,764_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1536,1,0.001000000000000000020816681712,26,0.010000000000000000208166817117
793,793_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4472,1,0.001000000000000000020816681712,46,0.010000000000000000208166817117
794,794_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1516,1,0.001000000000000000020816681712,26,0.010000000000000000208166817117
795,795_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1518,1,0.406345660933504548850692117412,26,0.005000000000000000104083408559
796,796_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4464,1,0.44238251540880568768443481531,48,0.100000000000000005551115123126
797,797_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4414,1,0.001000000000000000020816681712,45,0.010000000000000000208166817117
798,798_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1511,1,0.001000000000000000020816681712,26,0.010000000000000000208166817117
799,799_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1490,1,0.001000000000000000020816681712,26,0.100000000000000005551115123126
800,800_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1530,1,0.013346447795483719692133384171,26,0.010000000000000000208166817117
801,801_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.19000000000000000222044604925,1031,4174,3349,0.9989999999999999991118215803,37,0.100000000000000005551115123126
802,802_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1496,1,0.001000000000000000020816681712,26,0.100000000000000005551115123126
803,803_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1531,1,0.001000000000000000020816681712,26,0.010000000000000000208166817117
804,804_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1508,1,0.264731416293616739210392552195,26,0.005000000000000000104083408559
805,805_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1531,1,0.001000000000000000020816681712,26,0.100000000000000005551115123126
806,806_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1494,1,0.001000000000000000020816681712,24,0.010000000000000000208166817117
807,807_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1606,1,0.376442622097279078197118451499,26,0.005000000000000000104083408559
808,808_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1550,1,0.156960545605557721948741800588,25,0.010000000000000000208166817117
809,809_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1673,1,0.001000000000000000020816681712,28,0.100000000000000005551115123126
810,810_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1553,1,0.001000000000000000020816681712,26,0.010000000000000000208166817117
811,811_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.289999999999999980015985556747,1441,4303,1403,0.001000000000000000020816681712,12,0.100000000000000005551115123126
812,812_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1598,1,0.01367564520358471001626465835,26,0.100000000000000005551115123126
813,813_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1534,1,0.035409156639667732635601282709,26,0.010000000000000000208166817117
814,814_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1530,1,0.088447765420339413688921581524,26,0.005000000000000000104083408559
815,815_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1449,1,0.001000000000000000020816681712,25,0.010000000000000000208166817117
816,816_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1551,1,0.204727147128072689552524821011,27,0.100000000000000005551115123126
817,817_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1613,1,0.001000000000000000020816681712,25,0.010000000000000000208166817117
818,818_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.330000000000000015543122344752,1092,1496,944,0.9989999999999999991118215803,24,0.010000000000000000208166817117
819,819_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1434,1,0.9989999999999999991118215803,26,0.010000000000000000208166817117
820,820_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1782,1,0.9989999999999999991118215803,26,0.025000000000000001387778780781
821,821_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.050000000000000002775557561563,1091,1,2238,0.9989999999999999991118215803,1,0.050000000000000002775557561563
822,822_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1808,1,0.9989999999999999991118215803,26,0.025000000000000001387778780781
823,823_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.30999999999999999777955395075,1412,1599,1054,0.9989999999999999991118215803,1,0.25
824,824_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1798,1,0.9989999999999999991118215803,26,0.010000000000000000208166817117
825,825_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1396,1,0.9989999999999999991118215803,23,0.025000000000000001387778780781
826,826_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1959,1,0.9989999999999999991118215803,30,0.005000000000000000104083408559
827,827_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1424,1,0.9989999999999999991118215803,25,0.025000000000000001387778780781
828,828_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1783,1,0.9989999999999999991118215803,27,0.025000000000000001387778780781
829,829_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1542,1,0.9989999999999999991118215803,23,0.010000000000000000208166817117
830,830_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1926,1,0.9989999999999999991118215803,30,0.010000000000000000208166817117
831,831_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1646,1,0.9989999999999999991118215803,25,0.100000000000000005551115123126
832,832_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1892,1,0.9989999999999999991118215803,28,0.005000000000000000104083408559
833,833_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1609,1,0.9989999999999999991118215803,24,0.025000000000000001387778780781
834,834_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,1124,1,0.9989999999999999991118215803,32,0.025000000000000001387778780781
835,835_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1950,1,0.9989999999999999991118215803,31,0.005000000000000000104083408559
836,836_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.340000000000000024424906541753,1190,1941,931,0.9989999999999999991118215803,27,0.025000000000000001387778780781
837,837_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,763,5000,5000,0.217670256183479099432176440132,50,0.050000000000000002775557561563
838,838_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1926,1,0.9989999999999999991118215803,29,0.025000000000000001387778780781
839,839_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1425,1,0.9989999999999999991118215803,23,0.100000000000000005551115123126
840,840_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1889,1,0.001000000000000000020816681712,28,0.025000000000000001387778780781
841,841_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1149,1,0.9989999999999999991118215803,31,0.005000000000000000104083408559
842,842_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1920,1,0.9989999999999999991118215803,29,0.010000000000000000208166817117
843,843_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1154,1,0.9989999999999999991118215803,33,0.001000000000000000020816681712
844,844_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1873,1,0.001000000000000000020816681712,27,0.025000000000000001387778780781
845,845_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1485,1,0.9989999999999999991118215803,24,0.100000000000000005551115123126
846,846_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1752,1,0.001000000000000000020816681712,28,0.025000000000000001387778780781
847,847_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1812,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
848,848_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1638,1,0.9989999999999999991118215803,26,0.100000000000000005551115123126
849,849_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1765,1,0.9989999999999999991118215803,28,0.005000000000000000104083408559
850,850_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,870,1495,2445,0.9989999999999999991118215803,50,0.100000000000000005551115123126
851,851_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1556,1,0.9989999999999999991118215803,26,0.010000000000000000208166817117
852,852_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1708,1,0.9989999999999999991118215803,28,0.025000000000000001387778780781
853,853_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1525,1,0.9989999999999999991118215803,27,0.010000000000000000208166817117
854,854_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1526,1,0.9989999999999999991118215803,25,0.005000000000000000104083408559
855,855_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1644,1,0.9989999999999999991118215803,26,0.025000000000000001387778780781
856,856_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1569,1,0.9989999999999999991118215803,26,0.100000000000000005551115123126
857,857_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1742,1,0.001000000000000000020816681712,28,0.025000000000000001387778780781
858,858_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1527,1,0.9989999999999999991118215803,26,0.010000000000000000208166817117
859,859_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1808,1,0.001000000000000000020816681712,28,0.010000000000000000208166817117
860,860_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1563,1,0.9989999999999999991118215803,26,0.005000000000000000104083408559
861,861_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1688,1,0.001000000000000000020816681712,26,0.001000000000000000020816681712
862,862_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1654,1,0.9989999999999999991118215803,26,0.010000000000000000208166817117
863,863_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1608,1,0.9989999999999999991118215803,26,0.100000000000000005551115123126
864,864_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1739,1,0.001000000000000000020816681712,27,0.005000000000000000104083408559
865,865_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1538,1,0.9989999999999999991118215803,25,0.100000000000000005551115123126
866,866_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1799,1,0.001000000000000000020816681712,27,0.010000000000000000208166817117
867,867_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1621,1,0.9989999999999999991118215803,26,0.001000000000000000020816681712
868,868_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1634,1,0.9989999999999999991118215803,27,0.005000000000000000104083408559
869,869_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1605,1,0.001000000000000000020816681712,25,0.100000000000000005551115123126
870,870_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1844,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
871,871_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1452,1,0.9989999999999999991118215803,25,0.100000000000000005551115123126
872,872_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1791,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
873,873_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1577,1,0.001000000000000000020816681712,25,0.100000000000000005551115123126
874,874_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1820,1,0.001000000000000000020816681712,27,0.010000000000000000208166817117
875,875_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1608,1,0.9989999999999999991118215803,26,0.025000000000000001387778780781
876,876_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1674,1,0.001000000000000000020816681712,27,0.005000000000000000104083408559
877,877_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1591,1,0.9989999999999999991118215803,25,0.025000000000000001387778780781
878,878_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.30999999999999999777955395075,901,4281,1357,0.9989999999999999991118215803,11,0.005000000000000000104083408559
879,879_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1798,1,0.9989999999999999991118215803,27,0.010000000000000000208166817117
880,880_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,806,4155,4960,0.001000000000000000020816681712,1,0.025000000000000001387778780781
881,881_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1779,1,0.001000000000000000020816681712,28,0.025000000000000001387778780781
882,882_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1600,1,0.9989999999999999991118215803,25,0.005000000000000000104083408559
883,883_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1584,1,0.001000000000000000020816681712,25,0.025000000000000001387778780781
884,884_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1617,1,0.9989999999999999991118215803,26,0.010000000000000000208166817117
885,885_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1784,1,0.001000000000000000020816681712,27,0.010000000000000000208166817117
886,886_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1638,1,0.9989999999999999991118215803,26,0.025000000000000001387778780781
887,887_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1089,1,0.9989999999999999991118215803,32,0.100000000000000005551115123126
888,888_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1786,1,0.9989999999999999991118215803,28,0.001000000000000000020816681712
889,889_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1220,1,0.9989999999999999991118215803,30,0.100000000000000005551115123126
890,890_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1714,1,0.9989999999999999991118215803,26,0.025000000000000001387778780781
891,891_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1536,1,0.001000000000000000020816681712,25,0.001000000000000000020816681712
892,892_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1722,1,0.9989999999999999991118215803,27,0.100000000000000005551115123126
893,893_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1465,1,0.9989999999999999991118215803,24,0.001000000000000000020816681712
894,866_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1799,1,0.001000000000000000020816681712,27,0.010000000000000000208166817117
895,895_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1636,1,0.001000000000000000020816681712,26,0.010000000000000000208166817117
896,896_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1659,1,0.9989999999999999991118215803,26,0.025000000000000001387778780781
897,897_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1212,1,0.9989999999999999991118215803,30,0.100000000000000005551115123126
898,898_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1806,1,0.001000000000000000020816681712,27,0.025000000000000001387778780781
899,899_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1496,1,0.9989999999999999991118215803,25,0.100000000000000005551115123126
900,900_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1783,1,0.001000000000000000020816681712,27,0.025000000000000001387778780781
901,901_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1603,1,0.001000000000000000020816681712,25,0.005000000000000000104083408559
902,902_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1685,1,0.001000000000000000020816681712,26,0.025000000000000001387778780781
903,903_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.179999999999999993338661852249,824,1210,2458,0.512327182509651146702367441321,1,0.25
904,904_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1722,1,0.001000000000000000020816681712,27,0.005000000000000000104083408559
905,905_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1571,1,0.9989999999999999991118215803,25,0.025000000000000001387778780781
906,906_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1368,1,0.9989999999999999991118215803,27,0.100000000000000005551115123126
907,907_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1741,1,0.001000000000000000020816681712,26,0.010000000000000000208166817117
908,908_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1535,1,0.9989999999999999991118215803,25,0.025000000000000001387778780781
909,909_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1105,1,0.9989999999999999991118215803,32,0.100000000000000005551115123126
910,910_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1790,1,0.001000000000000000020816681712,27,0.025000000000000001387778780781
911,911_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1480,1,0.9989999999999999991118215803,26,0.005000000000000000104083408559
912,912_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1529,1,0.9989999999999999991118215803,23,0.100000000000000005551115123126
913,913_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1650,1,0.001000000000000000020816681712,25,0.005000000000000000104083408559
914,914_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1482,1,0.9989999999999999991118215803,23,0.025000000000000001387778780781
915,915_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1603,1,0.001000000000000000020816681712,24,0.001000000000000000020816681712
916,916_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1589,1,0.001000000000000000020816681712,24,0.010000000000000000208166817117
917,917_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1468,1,0.9989999999999999991118215803,24,0.100000000000000005551115123126
918,918_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1786,1,0.001000000000000000020816681712,26,0.010000000000000000208166817117
919,919_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1590,1,0.001000000000000000020816681712,24,0.100000000000000005551115123126
920,920_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1467,1,0.9989999999999999991118215803,23,0.100000000000000005551115123126
921,921_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1796,1,0.001000000000000000020816681712,26,0.010000000000000000208166817117
922,922_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1495,1,0.001000000000000000020816681712,24,0.025000000000000001387778780781
923,923_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1472,1,0.001000000000000000020816681712,24,0.010000000000000000208166817117
924,924_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1573,1,0.9989999999999999991118215803,23,0.010000000000000000208166817117
925,925_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1309,1,0.9989999999999999991118215803,25,0.100000000000000005551115123126
926,926_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1763,1,0.001000000000000000020816681712,26,0.010000000000000000208166817117
927,927_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1585,1,0.9989999999999999991118215803,24,0.005000000000000000104083408559
928,928_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1145,1,0.9989999999999999991118215803,30,0.100000000000000005551115123126
929,929_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1776,1,0.001000000000000000020816681712,26,0.025000000000000001387778780781
930,930_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1463,1,0.9989999999999999991118215803,24,0.100000000000000005551115123126
931,931_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1790,1,0.001000000000000000020816681712,26,0.010000000000000000208166817117
932,932_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1442,1,0.001000000000000000020816681712,24,0.025000000000000001387778780781
933,933_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1472,1,0.9989999999999999991118215803,24,0.100000000000000005551115123126
934,934_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1785,1,0.001000000000000000020816681712,26,0.010000000000000000208166817117
935,935_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1663,1,0.001000000000000000020816681712,24,0.100000000000000005551115123126
936,936_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1810,1,0.001000000000000000020816681712,26,0.025000000000000001387778780781
937,937_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1515,1,0.9989999999999999991118215803,23,0.005000000000000000104083408559
938,938_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.160000000000000003330669073875,995,2050,184,0.001000000000000000020816681712,33,0.025000000000000001387778780781
939,939_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1539,1,0.001000000000000000020816681712,23,0.010000000000000000208166817117
940,940_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,966,1352,2320,0.001000000000000000020816681712,50,0.005000000000000000104083408559
941,941_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1480,1,0.9989999999999999991118215803,22,0.025000000000000001387778780781
942,942_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1764,1,0.001000000000000000020816681712,26,0.025000000000000001387778780781
943,943_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1471,1,0.9989999999999999991118215803,24,0.100000000000000005551115123126
944,944_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1694,1,0.001000000000000000020816681712,25,0.010000000000000000208166817117
945,945_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1569,1,0.001000000000000000020816681712,23,0.025000000000000001387778780781
946,946_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1099,1,0.9989999999999999991118215803,32,0.100000000000000005551115123126
947,947_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1700,1,0.001000000000000000020816681712,25,0.010000000000000000208166817117
948,948_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1490,1,0.9989999999999999991118215803,37,0.010000000000000000208166817117
949,949_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1364,1,0.9989999999999999991118215803,31,0.005000000000000000104083408559
950,950_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1486,1,0.9989999999999999991118215803,35,0.010000000000000000208166817117
951,951_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1342,1,0.9989999999999999991118215803,31,0.100000000000000005551115123126
952,952_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1513,1,0.9989999999999999991118215803,36,0.010000000000000000208166817117
953,953_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1395,1,0.9989999999999999991118215803,32,0.005000000000000000104083408559
954,954_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1509,1,0.9989999999999999991118215803,36,0.010000000000000000208166817117
955,955_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1384,1,0.9989999999999999991118215803,32,0.100000000000000005551115123126
956,956_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1503,1,0.9989999999999999991118215803,35,0.005000000000000000104083408559
957,957_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1467,1,0.9989999999999999991118215803,35,0.010000000000000000208166817117
958,958_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,822,5000,4530,0.001000000000000000020816681712,50,0.025000000000000001387778780781
959,959_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1490,1,0.9989999999999999991118215803,35,0.010000000000000000208166817117
960,960_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1408,1,0.9989999999999999991118215803,32,0.100000000000000005551115123126
961,961_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.170000000000000012212453270877,856,5000,3852,0.001000000000000000020816681712,50,0.025000000000000001387778780781
962,962_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1493,1,0.9989999999999999991118215803,36,0.010000000000000000208166817117
963,963_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.380000000000000004440892098501,1136,1481,634,0.9989999999999999991118215803,29,0.010000000000000000208166817117
964,964_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,2482,1236,318,0.001000000000000000020816681712,1,0.025000000000000001387778780781
965,965_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,838,3638,4983,0.001000000000000000020816681712,50,0.010000000000000000208166817117
966,966_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.419999999999999984456877655248,1764,1259,336,0.9989999999999999991118215803,1,0.100000000000000005551115123126
967,967_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.289999999999999980015985556747,982,4252,1388,0.9989999999999999991118215803,1,0.050000000000000002775557561563
968,968_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,801,5000,5000,0.001000000000000000020816681712,50,0.25
969,969_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.289999999999999980015985556747,930,1881,1390,0.9989999999999999991118215803,1,0.005000000000000000104083408559
970,970_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.280000000000000026645352591004,925,4267,1514,0.9989999999999999991118215803,1,0.050000000000000002775557561563
971,971_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.44000000000000000222044604925,1876,1235,301,0.9989999999999999991118215803,1,0.025000000000000001387778780781
972,972_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.289999999999999980015985556747,2254,1184,315,0.001000000000000000020816681712,1,0.100000000000000005551115123126
973,973_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.280000000000000026645352591004,924,4098,1532,0.9989999999999999991118215803,1,0.005000000000000000104083408559
974,974_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.359999999999999986677323704498,1045,2650,421,0.9989999999999999991118215803,13,0.010000000000000000208166817117
975,975_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.409999999999999975575093458247,2142,4484,451,0.001000000000000000020816681712,50,0.025000000000000001387778780781
976,976_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1119,1,0.9989999999999999991118215803,30,0.001000000000000000020816681712
977,977_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1057,1,0.9989999999999999991118215803,30,0.100000000000000005551115123126
978,978_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.230000000000000009992007221626,2315,1208,272,0.001000000000000000020816681712,1,0.025000000000000001387778780781
979,979_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,847,1500,2047,0.9989999999999999991118215803,1,0.25
980,980_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.340000000000000024424906541753,1078,2704,522,0.001000000000000000020816681712,50,0.010000000000000000208166817117
981,981_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.320000000000000006661338147751,989,1877,1078,0.314947751553451726902466134561,28,0.025000000000000001387778780781
982,982_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.479999999999999982236431605997,3763,1472,208,0.9989999999999999991118215803,23,0.010000000000000000208166817117
983,983_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.289999999999999980015985556747,872,1344,1128,0.456260109604418151452165375304,21,0.005000000000000000104083408559
984,984_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.369999999999999995559107901499,1488,4059,663,0.001000000000000000020816681712,31,0.025000000000000001387778780781
985,985_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.260000000000000008881784197001,822,1343,1456,0.380192059477222565888610006368,50,0.025000000000000001387778780781
986,986_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.25,899,1210,1445,0.194874728317937895294420513892,50,0.025000000000000001387778780781
987,987_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.359999999999999986677323704498,1183,1373,668,0.9989999999999999991118215803,5,0.010000000000000000208166817117
988,988_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.239999999999999991118215802999,892,1184,1401,0.64325881976250165461550523105,50,0.025000000000000001387778780781
989,989_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.130000000000000004440892098501,768,1593,5000,0.001000000000000000020816681712,50,0.025000000000000001387778780781
990,990_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.349999999999999977795539507497,1026,1284,669,0.9989999999999999991118215803,4,0.005000000000000000104083408559
991,991_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.380000000000000004440892098501,1120,1333,580,0.9989999999999999991118215803,5,0.010000000000000000208166817117
992,992_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,952,4922,2559,0.001000000000000000020816681712,1,0.050000000000000002775557561563
993,993_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.050000000000000002775557561563,673,1,5000,0.001000000000000000020816681712,1,0.025000000000000001387778780781
994,994_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.320000000000000006661338147751,1076,4359,1155,0.756729743206114635611925223202,17,0.010000000000000000208166817117
995,995_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.419999999999999984456877655248,1693,1666,435,0.341623320562915666620540378062,30,0.100000000000000005551115123126
996,996_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.400000000000000022204460492503,1533,1671,516,0.418108293325782975902171756388,31,0.010000000000000000208166817117
997,997_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.160000000000000003330669073875,865,1567,3509,0.001000000000000000020816681712,50,0.025000000000000001387778780781
998,998_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.369999999999999995559107901499,1262,1651,698,0.464563344120994647923339471163,30,0.010000000000000000208166817117
999,999_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.050000000000000002775557561563,1075,2099,1222,0.9989999999999999991118215803,2,0.010000000000000000208166817117
1000,1000_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.119999999999999995559107901499,772,3267,5000,0.001000000000000000020816681712,50,0.050000000000000002775557561563
1001,1001_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.450000000000000011102230246252,2964,1672,312,0.442057610393094602141417226449,30,0.010000000000000000208166817117
1002,1002_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,831,2285,1011,0.78358973409774090868040730129,23,0.010000000000000000208166817117
1003,1003_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.119999999999999995559107901499,832,2261,1395,0.9989999999999999991118215803,13,0.010000000000000000208166817117
1004,1004_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.19000000000000000222044604925,943,2274,644,0.9989999999999999991118215803,24,0.005000000000000000104083408559
1005,1005_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.349999999999999977795539507497,1107,1178,687,0.50436796100083780558520629711,28,0.100000000000000005551115123126
1006,1006_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.380000000000000004440892098501,1436,1237,473,0.9989999999999999991118215803,21,0.100000000000000005551115123126
1007,1007_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.340000000000000024424906541753,1320,4321,974,0.448137173978192027146150167027,35,0.005000000000000000104083408559
1008,1008_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.369999999999999995559107901499,1501,1447,587,0.892151708912277574547999847709,41,0.100000000000000005551115123126
1009,1009_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4498,108,0.001000000000000000020816681712,50,0.25
1010,1010_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.390000000000000013322676295502,1874,1409,478,0.9989999999999999991118215803,43,0.100000000000000005551115123126
1011,1011_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.260000000000000008881784197001,926,1130,1272,0.9989999999999999991118215803,50,0.005000000000000000104083408559
1012,1012_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.280000000000000026645352591004,1347,3812,1459,0.9989999999999999991118215803,50,0.005000000000000000104083408559
1013,1013_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.400000000000000022204460492503,1590,3414,463,0.9989999999999999991118215803,18,0.010000000000000000208166817117
1014,1014_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2000,1,0.9989999999999999991118215803,15,0.010000000000000000208166817117
1015,1015_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.419999999999999984456877655248,2104,3708,390,0.489886290505814281370788876302,50,0.010000000000000000208166817117
1016,1016_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.409999999999999975575093458247,2364,3512,434,0.7058769270600899758960622421,1,0.010000000000000000208166817117
1017,1017_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.359999999999999986677323704498,1141,3154,595,0.9989999999999999991118215803,13,0.010000000000000000208166817117
1018,1018_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.390000000000000013322676295502,1392,1412,519,0.001000000000000000020816681712,50,0.005000000000000000104083408559
1019,1019_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.25,1165,1880,1997,0.9989999999999999991118215803,34,0.005000000000000000104083408559
1020,1020_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.260000000000000008881784197001,910,4647,1761,0.569874554770941843528930803586,23,0.100000000000000005551115123126
1021,1021_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1610,1,0.9989999999999999991118215803,5,0.010000000000000000208166817117
1022,1022_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1523,78,0.948358191828172603088376035885,38,0.001000000000000000020816681712
1023,1023_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.340000000000000024424906541753,1169,4275,952,0.316226283885189640709967306975,21,0.25
1024,1024_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.270000000000000017763568394003,1031,1136,1180,0.81864364478101470101734093987,43,0.25
1025,1025_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.260000000000000008881784197001,864,4200,1836,0.841294354541999411800645702897,1,0.025000000000000001387778780781
1026,1026_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.419999999999999984456877655248,1809,1397,396,0.9989999999999999991118215803,11,0.100000000000000005551115123126
1027,1027_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.280000000000000026645352591004,945,1071,1037,0.373425499636659996571808051158,23,0.010000000000000000208166817117
1028,1028_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.429999999999999993338661852249,2932,1405,357,0.9989999999999999991118215803,22,0.001000000000000000020816681712
1029,1029_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.25,893,4332,2093,0.373832167565780359996807646894,2,0.25
1030,1030_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.239999999999999991118215802999,887,1644,1931,0.9989999999999999991118215803,12,0.005000000000000000104083408559
1031,1031_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3386,1,0.001000000000000000020816681712,42,0.100000000000000005551115123126
1032,1032_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,917,3643,4384,0.26334209407629077803747463804,18,0.010000000000000000208166817117
1033,1033_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.479999999999999982236431605997,4868,1380,180,0.9989999999999999991118215803,24,0.001000000000000000020816681712
1034,1034_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.179999999999999993338661852249,1307,4823,3384,0.139674848864999007203024916635,16,0.005000000000000000104083408559
1035,1035_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1323,1,0.9989999999999999991118215803,38,0.001000000000000000020816681712
1036,1036_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.280000000000000026645352591004,1003,4306,1596,0.77239434073944535086297946691,30,0.100000000000000005551115123126
1037,1037_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1327,1,0.9989999999999999991118215803,38,0.001000000000000000020816681712
1038,1038_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.380000000000000004440892098501,1287,1401,569,0.9989999999999999991118215803,23,0.025000000000000001387778780781
1039,1039_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1408,1,0.9989999999999999991118215803,10,0.010000000000000000208166817117
1040,1040_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1340,2,0.891922242832283607150145599007,41,0.001000000000000000020816681712
1041,1041_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1439,1,0.9989999999999999991118215803,6,0.100000000000000005551115123126
1042,1042_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1390,1,0.9989999999999999991118215803,8,0.005000000000000000104083408559
1043,1043_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.380000000000000004440892098501,1178,1522,608,0.543148431634367656606343643944,37,0.001000000000000000020816681712
1044,1044_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1297,1,0.824364330098790842882294782612,40,0.001000000000000000020816681712
1045,1045_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1429,1,0.9989999999999999991118215803,6,0.100000000000000005551115123126
1046,1046_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1326,1,0.819977138136086969311122629733,40,0.001000000000000000020816681712
1047,1047_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1430,1,0.9989999999999999991118215803,6,0.100000000000000005551115123126
1048,1048_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1314,1,0.843650543769294380958001511317,40,0.001000000000000000020816681712
1049,1049_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1406,1,0.9989999999999999991118215803,6,0.100000000000000005551115123126
1050,1050_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1321,1,0.877066640726682056339313930948,40,0.001000000000000000020816681712
1051,1051_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1334,1,0.9989999999999999991118215803,7,0.005000000000000000104083408559
1052,1052_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.100000000000000005551115123126,907,2490,2572,0.923023507930481157401914060756,43,0.010000000000000000208166817117
1053,1053_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1331,1,0.815816273825260562801986452541,39,0.005000000000000000104083408559
1054,1054_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1411,1,0.9989999999999999991118215803,7,0.005000000000000000104083408559
1055,1055_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4458,6,0.001000000000000000020816681712,36,0.025000000000000001387778780781
1056,1056_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1319,1,0.996451994520346828743129208306,40,0.001000000000000000020816681712
1057,1057_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1427,1,0.9989999999999999991118215803,6,0.100000000000000005551115123126
1058,1058_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1326,1,0.984294068643553066166873577458,40,0.001000000000000000020816681712
1059,1059_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1424,1,0.9989999999999999991118215803,6,0.100000000000000005551115123126
1060,1060_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1280,1,0.98815948489587146497115099919,40,0.001000000000000000020816681712
1061,1061_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1416,1,0.9989999999999999991118215803,6,0.100000000000000005551115123126
1062,1062_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1393,1,0.9989999999999999991118215803,8,0.005000000000000000104083408559
1063,1063_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1316,1,0.943799788293939512229258070874,40,0.001000000000000000020816681712
1064,1064_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1414,1,0.9989999999999999991118215803,6,0.100000000000000005551115123126
1065,1065_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1319,1,0.956354155480516165965809705085,40,0.001000000000000000020816681712
1066,1066_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1414,1,0.9989999999999999991118215803,7,0.010000000000000000208166817117
1067,1067_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1415,1,0.9989999999999999991118215803,5,0.100000000000000005551115123126
1068,1068_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1308,1,0.984675653151772078963688272779,40,0.001000000000000000020816681712
1069,1069_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1403,1,0.9989999999999999991118215803,5,0.100000000000000005551115123126
1070,1070_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.280000000000000026645352591004,934,4508,1665,0.441674081897008630193113276619,13,0.25
1071,1071_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1364,1,0.9989999999999999991118215803,7,0.100000000000000005551115123126
1072,1072_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1406,1,0.9989999999999999991118215803,8,0.005000000000000000104083408559
1073,1073_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1314,1,0.886438328819506127231875325378,40,0.001000000000000000020816681712
1074,1074_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1433,1,0.9989999999999999991118215803,5,0.100000000000000005551115123126
1075,1075_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1426,1,0.9989999999999999991118215803,1,0.005000000000000000104083408559
1076,1076_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1431,1,0.9989999999999999991118215803,6,0.100000000000000005551115123126
1077,1077_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1403,1,0.9989999999999999991118215803,9,0.005000000000000000104083408559
1078,1078_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4562,10,0.001000000000000000020816681712,36,0.025000000000000001387778780781
1079,1079_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1422,1,0.9989999999999999991118215803,5,0.100000000000000005551115123126
1080,1080_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1403,1,0.9989999999999999991118215803,8,0.005000000000000000104083408559
1081,1081_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1452,1,0.9989999999999999991118215803,1,0.100000000000000005551115123126
1082,1082_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1373,1,0.875831002491258114872607620782,39,0.001000000000000000020816681712
1083,1083_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1435,1,0.9989999999999999991118215803,6,0.100000000000000005551115123126
1084,1084_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4325,19,0.001000000000000000020816681712,36,0.025000000000000001387778780781
1085,1085_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1332,1,0.882881116334821025581902631529,40,0.001000000000000000020816681712
1086,1086_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1426,1,0.9989999999999999991118215803,6,0.100000000000000005551115123126
1087,1077_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1403,1,0.9989999999999999991118215803,9,0.005000000000000000104083408559
1088,1088_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1441,1,0.9989999999999999991118215803,4,0.100000000000000005551115123126
1089,1089_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1308,1,0.907676976071095986675629774254,40,0.001000000000000000020816681712
1090,1090_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1425,1,0.9989999999999999991118215803,6,0.005000000000000000104083408559
1091,1091_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1447,1,0.9989999999999999991118215803,1,0.100000000000000005551115123126
1092,1092_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1329,1,0.881033512361886539387967332004,40,0.001000000000000000020816681712
1093,1083_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1435,1,0.9989999999999999991118215803,6,0.100000000000000005551115123126
1094,1094_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.280000000000000026645352591004,856,1774,1311,0.909570085744739298405647787149,7,0.001000000000000000020816681712
1095,1095_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1424,1,0.9989999999999999991118215803,5,0.100000000000000005551115123126
1096,1096_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1360,1,0.9989999999999999991118215803,8,0.005000000000000000104083408559
1097,1097_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1488,1,0.9989999999999999991118215803,2,0.100000000000000005551115123126
1098,1098_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1396,1,0.9989999999999999991118215803,8,0.005000000000000000104083408559
1099,1099_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1325,1,0.859325843282753520924188705976,40,0.001000000000000000020816681712
1100,1100_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1423,1,0.9989999999999999991118215803,6,0.100000000000000005551115123126
1101,1101_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1349,1,0.855744417833293136155248248542,39,0.001000000000000000020816681712
1102,1102_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1425,1,0.9989999999999999991118215803,6,0.100000000000000005551115123126
1103,1103_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1436,1,0.9989999999999999991118215803,5,0.100000000000000005551115123126
1104,1104_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1329,1,0.83371410336017315323431375873,39,0.005000000000000000104083408559
1105,1057_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1427,1,0.9989999999999999991118215803,6,0.100000000000000005551115123126
1106,1106_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1412,1,0.9989999999999999991118215803,8,0.005000000000000000104083408559
1107,1107_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1335,1,0.87537807432481817837555126971,39,0.001000000000000000020816681712
1108,1045_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1429,1,0.9989999999999999991118215803,6,0.100000000000000005551115123126
1109,1109_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1415,1,0.9989999999999999991118215803,1,0.100000000000000005551115123126
1110,1110_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1426,1,0.9989999999999999991118215803,8,0.005000000000000000104083408559
1111,1111_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1454,1,0.9989999999999999991118215803,2,0.100000000000000005551115123126
1112,1112_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1333,1,0.880745893917601940792394543678,39,0.001000000000000000020816681712
1113,1113_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1374,1,0.9989999999999999991118215803,5,0.005000000000000000104083408559
1114,1114_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4362,16,0.001000000000000000020816681712,37,0.025000000000000001387778780781
1115,1115_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1414,1,0.9989999999999999991118215803,5,0.100000000000000005551115123126
1116,1116_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1392,1,0.9989999999999999991118215803,9,0.005000000000000000104083408559
1117,1117_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1444,1,0.9989999999999999991118215803,3,0.100000000000000005551115123126
1118,1118_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1389,1,0.9989999999999999991118215803,9,0.005000000000000000104083408559
1119,1119_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1316,1,0.824189653366055763328290595382,40,0.001000000000000000020816681712
1120,1120_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1443,1,0.9989999999999999991118215803,6,0.100000000000000005551115123126
1121,1121_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1296,1,0.837576469842975179780353300885,39,0.001000000000000000020816681712
1122,1122_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1441,1,0.9989999999999999991118215803,6,0.100000000000000005551115123126
1123,1123_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1408,1,0.9989999999999999991118215803,8,0.005000000000000000104083408559
1124,1124_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1288,1,0.831308613794940143293388246093,40,0.001000000000000000020816681712
1125,1125_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1342,1,0.842911274674666199935302302038,37,0.100000000000000005551115123126
1126,1126_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1434,1,0.9989999999999999991118215803,5,0.100000000000000005551115123126
1127,1127_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1432,1,0.9989999999999999991118215803,9,0.005000000000000000104083408559
1128,1128_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1423,1,0.9989999999999999991118215803,2,0.100000000000000005551115123126
1129,1129_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4521,32,0.001000000000000000020816681712,37,0.025000000000000001387778780781
1130,1130_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1432,1,0.9989999999999999991118215803,5,0.100000000000000005551115123126
1131,1131_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1400,1,0.9989999999999999991118215803,9,0.005000000000000000104083408559
1132,1132_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4506,18,0.001000000000000000020816681712,36,0.025000000000000001387778780781
1133,1130_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1432,1,0.9989999999999999991118215803,5,0.100000000000000005551115123126
1134,1134_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1349,1,0.848099256444599047810584124818,39,0.001000000000000000020816681712
1135,1135_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1435,1,0.85173997249520583263660000739,39,0.005000000000000000104083408559
1136,1074_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1433,1,0.9989999999999999991118215803,5,0.100000000000000005551115123126
1137,1137_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1293,1,0.866333132953705620238338269701,39,0.005000000000000000104083408559
1138,1138_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1448,1,0.9989999999999999991118215803,6,0.100000000000000005551115123126
1139,1139_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1327,1,0.834634588756027140377113937575,39,0.001000000000000000020816681712
1140,1086_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1426,1,0.9989999999999999991118215803,6,0.100000000000000005551115123126
1141,1141_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1405,1,0.9989999999999999991118215803,8,0.005000000000000000104083408559
1142,1142_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1312,1,0.857824885830013150744832728378,40,0.001000000000000000020816681712
1143,1143_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1443,1,0.9989999999999999991118215803,4,0.100000000000000005551115123126
1144,1144_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1405,1,0.9989999999999999991118215803,9,0.005000000000000000104083408559
1145,1145_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1439,1,0.9989999999999999991118215803,4,0.100000000000000005551115123126
1146,1146_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1391,1,0.9989999999999999991118215803,9,0.005000000000000000104083408559
1147,1147_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4444,47,0.9989999999999999991118215803,41,0.001000000000000000020816681712
1148,1148_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1433,1,0.9989999999999999991118215803,6,0.100000000000000005551115123126
1149,1149_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1352,1,0.768121782323137658465839194832,39,0.100000000000000005551115123126
1150,1150_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1445,1,0.9989999999999999991118215803,7,0.100000000000000005551115123126
1151,1151_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1356,1,0.819594664897933533609375444939,39,0.005000000000000000104083408559
1152,1100_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1423,1,0.9989999999999999991118215803,6,0.100000000000000005551115123126
1153,1153_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1317,1,0.821499275547257101770526332984,39,0.001000000000000000020816681712
1154,1154_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1428,1,0.9989999999999999991118215803,6,0.100000000000000005551115123126
1155,1155_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1451,1,0.9989999999999999991118215803,1,0.100000000000000005551115123126
1156,1156_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1334,1,0.812130849841801727428958201926,38,0.005000000000000000104083408559
1157,1154_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1428,1,0.9989999999999999991118215803,6,0.100000000000000005551115123126
1158,1158_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1429,1,0.9989999999999999991118215803,2,0.100000000000000005551115123126
1159,1159_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1353,1,0.781688287406812509772180419532,38,0.100000000000000005551115123126
1160,1076_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1431,1,0.9989999999999999991118215803,6,0.100000000000000005551115123126
1161,1161_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1324,1,0.814304277937602849490872358729,38,0.005000000000000000104083408559
1162,1162_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1432,1,0.9989999999999999991118215803,6,0.100000000000000005551115123126
1163,1163_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1404,1,0.9989999999999999991118215803,8,0.005000000000000000104083408559
1164,1164_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1328,1,0.843604911475009933141677720414,39,0.001000000000000000020816681712
1165,1165_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1429,1,0.9989999999999999991118215803,5,0.100000000000000005551115123126
1166,1166_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1327,1,0.839673132900067509254427022825,39,0.005000000000000000104083408559
1167,1167_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1442,1,0.9989999999999999991118215803,5,0.005000000000000000104083408559
1168,1168_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1329,1,0.83813112799114208861794850236,39,0.001000000000000000020816681712
1169,1076_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1431,1,0.9989999999999999991118215803,6,0.100000000000000005551115123126
1170,1170_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1410,1,0.9989999999999999991118215803,8,0.005000000000000000104083408559
1171,1171_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1325,1,0.822491963310987395097129137866,40,0.001000000000000000020816681712
1172,1103_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1436,1,0.9989999999999999991118215803,5,0.100000000000000005551115123126
1173,1173_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1327,1,0.858822183008609463250593307748,39,0.001000000000000000020816681712
1174,1174_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1462,1,0.9989999999999999991118215803,5,0.100000000000000005551115123126
1175,1175_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1444,1,0.9989999999999999991118215803,1,0.100000000000000005551115123126
1176,1176_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1317,1,0.831698574592749317879736281611,39,0.001000000000000000020816681712
1177,1177_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1412,1,0.9989999999999999991118215803,6,0.100000000000000005551115123126
1178,1178_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1511,1,0.9989999999999999991118215803,1,0.100000000000000005551115123126
1179,1179_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1445,1,0.9989999999999999991118215803,8,0.005000000000000000104083408559
1180,1180_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1459,1,0.9989999999999999991118215803,2,0.005000000000000000104083408559
1181,1181_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1327,1,0.877445676462027646103081224283,40,0.001000000000000000020816681712
1182,1182_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1417,1,0.9989999999999999991118215803,7,0.005000000000000000104083408559
1183,1183_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1332,1,0.769934931627063057213433694415,39,0.001000000000000000020816681712
1184,1184_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1442,1,0.9989999999999999991118215803,6,0.100000000000000005551115123126
1185,1185_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1302,1,0.862893115798228138579872847913,39,0.001000000000000000020816681712
1186,1186_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1300,1,0.9989999999999999991118215803,6,0.005000000000000000104083408559
1187,1187_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1443,1,0.9989999999999999991118215803,5,0.100000000000000005551115123126
1188,1188_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1315,1,0.869725672706246677456931593042,39,0.001000000000000000020816681712
1189,1167_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1442,1,0.9989999999999999991118215803,5,0.005000000000000000104083408559
1190,1190_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.239999999999999991118215802999,1105,1632,1831,0.9989999999999999991118215803,29,0.100000000000000005551115123126
1191,1191_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1296,1,0.853089844264941610241237412993,39,0.001000000000000000020816681712
1192,1126_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1434,1,0.9989999999999999991118215803,5,0.100000000000000005551115123126
1193,1193_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1317,1,0.886044583144391939555362114334,40,0.001000000000000000020816681712
1194,1194_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1469,1,0.9989999999999999991118215803,5,0.100000000000000005551115123126
1195,1195_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1324,1,0.844211716259428701647493653581,40,0.001000000000000000020816681712
1196,1196_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1385,1,0.9989999999999999991118215803,6,0.005000000000000000104083408559
1197,1197_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1435,1,0.9989999999999999991118215803,5,0.100000000000000005551115123126
1198,1198_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1402,1,0.9989999999999999991118215803,8,0.005000000000000000104083408559
1199,1199_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1303,1,0.866240894532978478181917125767,40,0.001000000000000000020816681712
1200,1200_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1440,1,0.9989999999999999991118215803,6,0.005000000000000000104083408559
1201,1201_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1311,1,0.851785109886073588114641097491,40,0.001000000000000000020816681712
1202,1041_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1439,1,0.9989999999999999991118215803,6,0.100000000000000005551115123126
1203,1203_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4408,1,0.001000000000000000020816681712,36,0.025000000000000001387778780781
1204,1204_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1430,1,0.9989999999999999991118215803,5,0.100000000000000005551115123126
1205,1205_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1412,1,0.9989999999999999991118215803,9,0.005000000000000000104083408559
1206,1206_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1439,1,0.9989999999999999991118215803,3,0.100000000000000005551115123126
1207,1198_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1402,1,0.9989999999999999991118215803,8,0.005000000000000000104083408559
1208,1208_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1320,1,0.900384324432872196197763514647,40,0.001000000000000000020816681712
1209,1209_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1442,1,0.9989999999999999991118215803,5,0.100000000000000005551115123126
1210,1210_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.25,998,4463,1989,0.226007366411098920000455336776,20,0.25
1211,1209_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1442,1,0.9989999999999999991118215803,5,0.100000000000000005551115123126
1212,1212_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1424,1,0.9989999999999999991118215803,7,0.005000000000000000104083408559
1213,1213_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1311,1,0.861202903719500589829749515047,40,0.001000000000000000020816681712
1214,1214_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.489999999999999991118215802999,5815,1461,165,0.9989999999999999991118215803,10,0.005000000000000000104083408559
1215,1215_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.489999999999999991118215802999,6722,1395,150,0.9989999999999999991118215803,38,0.001000000000000000020816681712
1216,1216_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.400000000000000022204460492503,1919,4471,538,0.9989999999999999991118215803,9,0.001000000000000000020816681712
1217,1217_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.040000000000000000832667268469,1203,2114,1874,0.9989999999999999991118215803,5,0.010000000000000000208166817117
1218,1218_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.230000000000000009992007221626,942,4708,2222,0.9989999999999999991118215803,26,0.050000000000000002775557561563
1219,1219_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.179999999999999993338661852249,914,4784,3626,0.762607877415813040222758445452,44,0.010000000000000000208166817117
1220,1220_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.409999999999999975575093458247,2033,4526,502,0.900279312023803512943231908139,38,0.025000000000000001387778780781
1221,1221_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1428,1,0.9989999999999999991118215803,7,0.100000000000000005551115123126
1222,1222_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1464,1,0.001000000000000000020816681712,48,0.100000000000000005551115123126
1223,1223_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.390000000000000013322676295502,1947,4516,573,0.9989999999999999991118215803,50,0.25
1224,1224_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1422,1,0.001000000000000000020816681712,50,0.005000000000000000104083408559
1225,1225_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.380000000000000004440892098501,2074,4301,615,0.9989999999999999991118215803,39,0.005000000000000000104083408559
1226,1226_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1314,33,0.001000000000000000020816681712,38,0.001000000000000000020816681712
1227,1227_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1361,1,0.9989999999999999991118215803,41,0.001000000000000000020816681712
1228,1228_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.44000000000000000222044604925,3512,4401,360,0.9989999999999999991118215803,50,0.25
1229,1229_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.380000000000000004440892098501,1507,3322,505,0.001000000000000000020816681712,19,0.010000000000000000208166817117
1230,1230_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2155,1,0.001000000000000000020816681712,2,0.010000000000000000208166817117
1231,1231_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.450000000000000011102230246252,2795,1394,291,0.9989999999999999991118215803,19,0.005000000000000000104083408559
1232,1232_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,900,1507,3986,0.001000000000000000020816681712,50,0.010000000000000000208166817117
1233,1233_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,937,4555,4523,0.9989999999999999991118215803,50,0.25
1234,1234_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.19000000000000000222044604925,885,4213,3488,0.9989999999999999991118215803,1,0.005000000000000000104083408559
1235,1235_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,903,4257,5000,0.9989999999999999991118215803,1,0.005000000000000000104083408559
1236,1236_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.320000000000000006661338147751,1017,4260,1124,0.001000000000000000020816681712,11,0.025000000000000001387778780781
1237,1237_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1439,1,0.67997510920314196969371778323,27,0.005000000000000000104083408559
1238,1238_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1875,1,0.001000000000000000020816681712,18,0.010000000000000000208166817117
1239,1239_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.209999999999999992228438827624,834,4604,2750,0.9989999999999999991118215803,1,0.25
1240,1240_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1433,1,0.661906184464946090173498305376,26,0.005000000000000000104083408559
1241,1241_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.160000000000000003330669073875,1132,5000,4830,0.160243384046608594584171214592,50,0.010000000000000000208166817117
1242,1242_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1456,1,0.672522311609197953607974795887,26,0.005000000000000000104083408559
1243,1243_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.179999999999999993338661852249,910,1436,2768,0.001000000000000000020816681712,50,0.005000000000000000104083408559
1244,1244_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,883,798,5000,0.708598253721837045837617097277,50,0.010000000000000000208166817117
1245,1245_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1889,1,0.001000000000000000020816681712,20,0.010000000000000000208166817117
1246,1246_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.160000000000000003330669073875,890,3922,3764,0.9989999999999999991118215803,50,0.025000000000000001387778780781
1247,1247_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.179999999999999993338661852249,1071,4533,3661,0.001000000000000000020816681712,50,0.25
1248,1248_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,1192,4422,2409,0.001000000000000000020816681712,1,0.010000000000000000208166817117
1249,1249_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.160000000000000003330669073875,890,5000,4109,0.001000000000000000020816681712,1,0.010000000000000000208166817117
1250,1250_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.209999999999999992228438827624,1032,4782,2829,0.9989999999999999991118215803,50,0.100000000000000005551115123126
1251,1251_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,959,1585,3786,0.001000000000000000020816681712,1,0.010000000000000000208166817117
1252,1252_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.160000000000000003330669073875,1040,853,2125,0.001000000000000000020816681712,50,0.005000000000000000104083408559
1253,1253_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,999,4978,4325,0.9989999999999999991118215803,50,0.010000000000000000208166817117
1254,1254_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.270000000000000017763568394003,962,5000,1599,0.001000000000000000020816681712,1,0.25
1255,1255_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1515,1,0.001000000000000000020816681712,50,0.005000000000000000104083408559
1256,1256_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,861,4685,2718,0.504475082313234346464980717428,1,0.010000000000000000208166817117
1257,1257_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1769,1,0.001000000000000000020816681712,37,0.010000000000000000208166817117
1258,1258_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,5000,2076,0.9989999999999999991118215803,50,0.050000000000000002775557561563
1259,1259_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,1296,2640,0.579279401434295793116291406477,1,0.025000000000000001387778780781
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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: 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: 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;
border: solid 1px;
}
#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: sans-serif;
}
.gridjs-th-content {
overflow: visible !important;
}
.error_text {
color: red;
}
h1, h2, h3, h4, h5, h6 {
margin-top: 1em;
font-weight: bold;
color: #333;
border-left: 5px solid #ccc;
padding-left: 0.5em;
}
.no_cursive {
font-style: normal;
}
.caveat {
background-color: #fff8b3;
border: 1px solid #f2d600;
padding: 1em 1em 1em 70px;
position: relative;
font-family: sans-serif;
color: #665500;
margin: 1em 0;
border-radius: 4px;
}
.caveat h1, .caveat h2, .caveat h3, .caveat h4 {
margin-top: 0;
margin-bottom: 0.5em;
font-weight: bold;
}
.caveat::before {
content: "⚠️";
font-size: 50px;
line-height: 1;
position: absolute;
left: 10px;
top: 50%;
transform: translateY(-50%);
pointer-events: none;
user-select: none;
}
.caveat.warning::before { content: "⚠️"; }
.caveat.stop::before { content: "🛑"; }
.caveat.exclamation::before { content: "❗"; }
.caveat.alarm::before { content: "🚨"; }
.caveat.tip::before { content: "💡"; }
.tutorial_icon {
display: inline-block;
font-size: 1.3em;
line-height: 1;
vertical-align: middle;
transform: translateY(-10%);
padding: 0.2em 0;
}
.highlight {
background-color: yellow;
font-weight: bold;
}
#searchResults li {
opacity: 0;
transform: translateY(8px);
animation: fadeInUp 0.3s ease-out forwards;
animation-delay: 0.05s;
list-style: none;
margin-bottom: 5px;
}
@keyframes fadeInUp {
to {
opacity: 1;
transform: translateY(0);
}
}
.search_headline {
font-weight: bold;
margin-top: 1em;
margin-bottom: 0.3em;
color: #444;
}
.search_share_path {
color: black;
display: block ruby;
margin-top: 20px;
}
@media print {
#scads_bar {
display: none !important;
}
}
/*! XP.css v0.2.6 - https: //botoxparty.github.io/XP.css/ */
body{
color: #222
}
.surface{
background: #ece9d8
}
u{
text-decoration: none;
border-bottom: .5px solid #222
}
a{
color: #00f
}
a: focus{
outline: 1px dotted #00f
}
code,code *{
font-family: monospace
}
pre{
display: block;
padding: 12px 8px;
background-color: #000;
color: silver;
font-size: 1rem;
margin: 0;
overflow: scroll;
}
summary: focus{
outline: 1px dotted #000
}
: :-webkit-scrollbar{
width: 16px
}
: :-webkit-scrollbar: horizontal{
height: 17px
}
: :-webkit-scrollbar-track{
background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg width='2' height='2' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M1 0H0v1h1v1h1V1H1V0z' fill='silver'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M2 0H1v1H0v1h1V1h1V0z' fill='%23fff'/%3E%3C/svg%3E")
}
: :-webkit-scrollbar-thumb{
background-color: #dfdfdf;
box-shadow: inset -1px -1px #0a0a0a,inset 1px 1px #fff,inset -2px -2px grey,inset 2px 2px #dfdfdf
}
: :-webkit-scrollbar-button: horizontal: end: increment,: :-webkit-scrollbar-button: horizontal: start: decrement,: :-webkit-scrollbar-button: vertical: end: increment,: :-webkit-scrollbar-button: vertical: start: decrement{
display: block
}
: :-webkit-scrollbar-button: vertical: start{
background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg width='16' height='17' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M15 0H0v16h1V1h14V0z' fill='%23DFDFDF'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M2 1H1v14h1V2h12V1H2z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M16 17H0v-1h15V0h1v17z' fill='%23000'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M15 1h-1v14H1v1h14V1z' fill='gray'/%3E%3Cpath fill='silver' d='M2 2h12v13H2z'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M8 6H7v1H6v1H5v1H4v1h7V9h-1V8H9V7H8V6z' fill='%23000'/%3E%3C/svg%3E")
}
: :-webkit-scrollbar-button: vertical: end{
background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg width='16' height='17' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M15 0H0v16h1V1h14V0z' fill='%23DFDFDF'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M2 1H1v14h1V2h12V1H2z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M16 17H0v-1h15V0h1v17z' fill='%23000'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M15 1h-1v14H1v1h14V1z' fill='gray'/%3E%3Cpath fill='silver' d='M2 2h12v13H2z'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M11 6H4v1h1v1h1v1h1v1h1V9h1V8h1V7h1V6z' fill='%23000'/%3E%3C/svg%3E")
}
: :-webkit-scrollbar-button: horizontal: start{
width: 16px;
background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg width='16' height='17' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M15 0H0v16h1V1h14V0z' fill='%23DFDFDF'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M2 1H1v14h1V2h12V1H2z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M16 17H0v-1h15V0h1v17z' fill='%23000'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M15 1h-1v14H1v1h14V1z' fill='gray'/%3E%3Cpath fill='silver' d='M2 2h12v13H2z'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M9 4H8v1H7v1H6v1H5v1h1v1h1v1h1v1h1V4z' fill='%23000'/%3E%3C/svg%3E")
}
: :-webkit-scrollbar-button: horizontal: end{
width: 16px;
background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg width='16' height='17' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M15 0H0v16h1V1h14V0z' fill='%23DFDFDF'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M2 1H1v14h1V2h12V1H2z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M16 17H0v-1h15V0h1v17z' fill='%23000'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M15 1h-1v14H1v1h14V1z' fill='gray'/%3E%3Cpath fill='silver' d='M2 2h12v13H2z'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M7 4H6v7h1v-1h1V9h1V8h1V7H9V6H8V5H7V4z' fill='%23000'/%3E%3C/svg%3E")
}
button{
border: none;
background: #ece9d8;
box-shadow: inset -1px -1px #0a0a0a,inset 1px 1px #fff,inset -2px -2px grey,inset 2px 2px #dfdfdf;
border-radius: 0;
min-width: 75px;
min-height: 23px;
padding: 0 12px
}
button: not(: disabled).active,button: not(: disabled): active{
box-shadow: inset -1px -1px #fff,inset 1px 1px #0a0a0a,inset -2px -2px #dfdfdf,inset 2px 2px grey
}
button.focused,button: focus{
outline: 1px dotted #000;
outline-offset: -4px
}
label{
display: inline-flex;
align-items: center
}
textarea{
padding: 3px 4px;
border: none;
background-color: #fff;
box-sizing: border-box;
-webkit-appearance: none;
-moz-appearance: none;
appearance: none;
border-radius: 0
}
textarea: focus{
outline: none
}
select: focus option{
color: #000;
background-color: #fff
}
.vertical-bar{
width: 4px;
height: 20px;
background: silver;
box-shadow: inset -1px -1px #0a0a0a,inset 1px 1px #fff,inset -2px -2px grey,inset 2px 2px #dfdfdf
}
&: disabled,&: disabled+label{
color: grey;
text-shadow: 1px 1px 0 #fff
}
input[type=radio]+label{
line-height: 13px;
position: relative;
margin-left: 19px
}
input[type=radio]+label: before{
content: "";
position: absolute;
top: 0;
left: -19px;
display: inline-block;
width: 13px;
height: 13px;
margin-right: 6px;
background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='12' height='12' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M8 0H4v1H2v1H1v2H0v4h1v2h1V8H1V4h1V2h2V1h4v1h2V1H8V0z' fill='gray'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M8 1H4v1H2v2H1v4h1v1h1V8H2V4h1V3h1V2h4v1h2V2H8V1z' fill='%23000'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M9 3h1v1H9V3zm1 5V4h1v4h-1zm-2 2V9h1V8h1v2H8zm-4 0v1h4v-1H4zm0 0V9H2v1h2z' fill='%23DFDFDF'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M11 2h-1v2h1v4h-1v2H8v1H4v-1H2v1h2v1h4v-1h2v-1h1V8h1V4h-1V2z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M4 2h4v1h1v1h1v4H9v1H8v1H4V9H3V8H2V4h1V3h1V2z' fill='%23fff'/%3E%3C/svg%3E")
}
input[type=radio]: active+label: before{
background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='12' height='12' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M8 0H4v1H2v1H1v2H0v4h1v2h1V8H1V4h1V2h2V1h4v1h2V1H8V0z' fill='gray'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M8 1H4v1H2v2H1v4h1v1h1V8H2V4h1V3h1V2h4v1h2V2H8V1z' fill='%23000'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M9 3h1v1H9V3zm1 5V4h1v4h-1zm-2 2V9h1V8h1v2H8zm-4 0v1h4v-1H4zm0 0V9H2v1h2z' fill='%23DFDFDF'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M11 2h-1v2h1v4h-1v2H8v1H4v-1H2v1h2v1h4v-1h2v-1h1V8h1V4h-1V2z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M4 2h4v1h1v1h1v4H9v1H8v1H4V9H3V8H2V4h1V3h1V2z' fill='silver'/%3E%3C/svg%3E")
}
input[type=radio]: checked+label: after{
content: "";
display: block;
width: 5px;
height: 5px;
top: 5px;
left: -14px;
position: absolute;
background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='4' height='4' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M3 0H1v1H0v2h1v1h2V3h1V1H3V0z' fill='%23000'/%3E%3C/svg%3E")
}
input[type=radio][disabled]+label: before{
background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='12' height='12' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M8 0H4v1H2v1H1v2H0v4h1v2h1V8H1V4h1V2h2V1h4v1h2V1H8V0z' fill='gray'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M8 1H4v1H2v2H1v4h1v1h1V8H2V4h1V3h1V2h4v1h2V2H8V1z' fill='%23000'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M9 3h1v1H9V3zm1 5V4h1v4h-1zm-2 2V9h1V8h1v2H8zm-4 0v1h4v-1H4zm0 0V9H2v1h2z' fill='%23DFDFDF'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M11 2h-1v2h1v4h-1v2H8v1H4v-1H2v1h2v1h4v-1h2v-1h1V8h1V4h-1V2z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M4 2h4v1h1v1h1v4H9v1H8v1H4V9H3V8H2V4h1V3h1V2z' fill='silver'/%3E%3C/svg%3E")
}
input[type=radio][disabled]: checked+label: after{
background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='4' height='4' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M3 0H1v1H0v2h1v1h2V3h1V1H3V0z' fill='gray'/%3E%3C/svg%3E")
}
input[type=email],input[type=password]{
padding: 3px 4px;
border: 1px solid #7f9db9;
background-color: #fff;
box-sizing: border-box;
-webkit-appearance: none;
-moz-appearance: none;
appearance: none;
border-radius: 0;
height: 21px;
line-height: 2
}
input[type=email]: focus,input[type=password]: focus{
outline: none
}
input[type=range]{
-webkit-appearance: none;
width: 100%;
background: transparent
}
input[type=range]: focus{
outline: none
}
input[type=range]: :-webkit-slider-thumb{
-webkit-appearance: none;
background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='11' height='21' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M0 0v16h2v2h2v2h1v-1H3v-2H1V1h9V0z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M1 1v15h1v1h1v1h1v1h2v-1h1v-1h1v-1h1V1z' fill='%23C0C7C8'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M9 1h1v15H8v2H6v2H5v-1h2v-2h2z' fill='%2387888F'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M10 0h1v16H9v2H7v2H5v1h1v-2h2v-2h2z' fill='%23000'/%3E%3C/svg%3E")
}
input[type=range]: :-moz-range-thumb{
background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='11' height='21' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M0 0v16h2v2h2v2h1v-1H3v-2H1V1h9V0z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M1 1v15h1v1h1v1h1v1h2v-1h1v-1h1v-1h1V1z' fill='%23C0C7C8'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M9 1h1v15H8v2H6v2H5v-1h2v-2h2z' fill='%2387888F'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M10 0h1v16H9v2H7v2H5v1h1v-2h2v-2h2z' fill='%23000'/%3E%3C/svg%3E")
}
input[type=range]: :-webkit-slider-runnable-track{
background: #000;
border-right: 1px solid grey;
border-bottom: 1px solid grey;
box-shadow: 1px 0 0 #fff,1px 1px 0 #fff,0 1px 0 #fff,-1px 0 0 #a9a9a9,-1px -1px 0 #a9a9a9,0 -1px 0 #a9a9a9,-1px 1px 0 #fff,1px -1px #a9a9a9
}
input[type=range]: :-moz-range-track{
background: #000;
border-right: 1px solid grey;
border-bottom: 1px solid grey;
box-shadow: 1px 0 0 #fff,1px 1px 0 #fff,0 1px 0 #fff,-1px 0 0 #a9a9a9,-1px -1px 0 #a9a9a9,0 -1px 0 #a9a9a9,-1px 1px 0 #fff,1px -1px #a9a9a9
}
input[type=range].has-box-indicator: :-webkit-slider-thumb{
background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='11' height='21' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M0 0v20h1V1h9V0z' fill='%23fff'/%3E%3Cpath fill='%23C0C7C8' d='M1 1h8v18H1z'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M9 1h1v19H1v-1h8z' fill='%2387888F'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M10 0h1v21H0v-1h10z' fill='%23000'/%3E%3C/svg%3E")
}
input[type=range].has-box-indicator: :-moz-range-thumb{
background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='11' height='21' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M0 0v20h1V1h9V0z' fill='%23fff'/%3E%3Cpath fill='%23C0C7C8' d='M1 1h8v18H1z'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M9 1h1v19H1v-1h8z' fill='%2387888F'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M10 0h1v21H0v-1h10z' fill='%23000'/%3E%3C/svg%3E")
}
.is-vertical{
display: inline-block;
width: 4px;
height: 150px;
transform: translateY(50%)
}
.is-vertical>input[type=range]{
width: 150px;
height: 4px;
margin: 0 16px 0 10px;
transform-origin: left;
transform: rotate(270deg) translateX(calc(-50% + 8px))
}
.is-vertical>input[type=range]: :-webkit-slider-runnable-track{
border-left: 1px solid grey;
border-bottom: 1px solid grey;
box-shadow: -1px 0 0 #fff,-1px 1px 0 #fff,0 1px 0 #fff,1px 0 0 #a9a9a9,1px -1px 0 #a9a9a9,0 -1px 0 #a9a9a9,1px 1px 0 #fff,-1px -1px #a9a9a9
}
.is-vertical>input[type=range]: :-moz-range-track{
border-left: 1px solid grey;
border-bottom: 1px solid grey;
box-shadow: -1px 0 0 #fff,-1px 1px 0 #fff,0 1px 0 #fff,1px 0 0 #a9a9a9,1px -1px 0 #a9a9a9,0 -1px 0 #a9a9a9,1px 1px 0 #fff,-1px -1px #a9a9a9
}
.is-vertical>input[type=range]: :-webkit-slider-thumb{
transform: translateY(-8px) scaleX(-1)
}
.is-vertical>input[type=range]: :-moz-range-thumb{
transform: translateY(2px) scaleX(-1)
}
.is-vertical>input[type=range].has-box-indicator: :-webkit-slider-thumb{
transform: translateY(-10px) scaleX(-1)
}
.is-vertical>input[type=range].has-box-indicator: :-moz-range-thumb{
transform: translateY(0) scaleX(-1)
}
.window{
font-size: 11px;
box-shadow: inset -1px -1px #0a0a0a,inset 1px 1px #dfdfdf,inset -2px -2px grey,inset 2px 2px #fff;
background: #ece9d8;
padding: 3px
}
.window fieldset{
margin-bottom: 9px
}
.title-bar{
background: #000;
padding: 3px 2px 3px 3px;
display: flex;
justify-content: space-between;
align-items: center
}
.title-bar-text{
font-weight: 700;
color: #fff;
letter-spacing: 0;
margin-right: 24px
}
.title-bar-controls button{
padding: 0;
display: block;
min-width: 16px;
min-height: 14px
}
.title-bar-controls button: focus{
outline: none
}
.window-body{
margin: 8px
}
.window-body pre{
margin: -8px
}
.status-bar{
margin: 0 1px;
display: flex;
gap: 1px
}
.status-bar-field{
box-shadow: inset -1px -1px #dfdfdf,inset 1px 1px grey;
flex-grow: 1;
padding: 2px 3px;
margin: 0
}
ul.tree-view{
display: block;
background: #fff;
padding: 6px;
margin: 0
}
ul.tree-view li{
list-style-type: none;
margin-top: 3px
}
ul.tree-view a{
text-decoration: none;
color: #000
}
ul.tree-view a: focus{
background-color: #2267cb;
color: #fff
}
ul.tree-view ul{
margin-top: 3px;
margin-left: 16px;
padding-left: 16px;
border-left: 1px dotted grey
}
ul.tree-view ul>li{
position: relative
}
ul.tree-view ul>li: before{
content: "";
display: block;
position: absolute;
left: -16px;
top: 6px;
width: 12px;
border-bottom: 1px dotted grey
}
ul.tree-view ul>li: last-child: after{
content: "";
display: block;
position: absolute;
left: -20px;
top: 7px;
bottom: 0;
width: 8px;
background: #fff
}
ul.tree-view ul details>summary: before{
margin-left: -22px;
position: relative;
z-index: 1
}
ul.tree-view details{
margin-top: 0
}
ul.tree-view details>summary: before{
text-align: center;
display: block;
float: left;
content: "+";
border: 1px solid grey;
width: 8px;
height: 9px;
line-height: 9px;
margin-right: 5px;
padding-left: 1px;
background-color: #fff
}
ul.tree-view details[open] summary{
margin-bottom: 0
}
ul.tree-view details[open]>summary: before{
content: "-"
}
fieldset{
border-image: url("data: image/svg+xml;charset=utf-8,%3Csvg width='5' height='5' fill='gray' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M0 0h5v5H0V2h2v1h1V2H0' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M0 0h4v4H0V1h1v2h2V1H0'/%3E%3C/svg%3E") 2;
padding: 10px;
padding-block-start: 8px;
margin: 0
}
legend{
background: #ece9d8
}
menu[role=tablist]{
position: relative;
margin: 0 0 -2px;
text-indent: 0;
list-style-type: none;
display: flex;
padding-left: 3px
}
menu[role=tablist] button{
z-index: 1;
display: block;
color: #222;
text-decoration: none;
min-width: unset
}
menu[role=tablist] button[aria-selected=true]{
padding-bottom: 2px;margin-top: -2px;background-color: #ece9d8;position: relative;z-index: 8;margin-left: -3px;margin-bottom: 1px
}
menu[role=tablist] button: focus{
outline: 1px dotted #222;outline-offset: -4px
}
menu[role=tablist].justified button{
flex-grow: 1;text-align: center
}
[role=tabpanel]{
padding: 14px;clear: both;background: linear-gradient(180deg,#fcfcfe,#f4f3ee);border: 1px solid #919b9c;position: relative;z-index: 2;margin-bottom: 9px
}
: :-webkit-scrollbar{
width: 17px
}
: :-webkit-scrollbar-corner{
background: #dfdfdf
}
: :-webkit-scrollbar-track: vertical{
background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 17 1' shape-rendering='crispEdges'%3E%3Cpath stroke='%23eeede5' d='M0 0h1m15 0h1'/%3E%3Cpath stroke='%23f3f1ec' d='M1 0h1'/%3E%3Cpath stroke='%23f4f1ec' d='M2 0h1'/%3E%3Cpath stroke='%23f4f3ee' d='M3 0h1'/%3E%3Cpath stroke='%23f5f4ef' d='M4 0h1'/%3E%3Cpath stroke='%23f6f5f0' d='M5 0h1'/%3E%3Cpath stroke='%23f7f7f3' d='M6 0h1'/%3E%3Cpath stroke='%23f9f8f4' d='M7 0h1'/%3E%3Cpath stroke='%23f9f9f7' d='M8 0h1'/%3E%3Cpath stroke='%23fbfbf8' d='M9 0h1'/%3E%3Cpath stroke='%23fbfbf9' d='M10 0h2'/%3E%3Cpath stroke='%23fdfdfa' d='M12 0h1'/%3E%3Cpath stroke='%23fefefb' d='M13 0h3'/%3E%3C/svg%3E")
}
: :-webkit-scrollbar-track: horizontal{
background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 1 17' shape-rendering='crispEdges'%3E%3Cpath stroke='%23eeede5' d='M0 0h1M0 16h1'/%3E%3Cpath stroke='%23f3f1ec' d='M0 1h1'/%3E%3Cpath stroke='%23f4f1ec' d='M0 2h1'/%3E%3Cpath stroke='%23f4f3ee' d='M0 3h1'/%3E%3Cpath stroke='%23f5f4ef' d='M0 4h1'/%3E%3Cpath stroke='%23f6f5f0' d='M0 5h1'/%3E%3Cpath stroke='%23f7f7f3' d='M0 6h1'/%3E%3Cpath stroke='%23f9f8f4' d='M0 7h1'/%3E%3Cpath stroke='%23f9f9f7' d='M0 8h1'/%3E%3Cpath stroke='%23fbfbf8' d='M0 9h1'/%3E%3Cpath stroke='%23fbfbf9' d='M0 10h1m-1 1h1'/%3E%3Cpath stroke='%23fdfdfa' d='M0 12h1'/%3E%3Cpath stroke='%23fefefb' d='M0 13h1m-1 1h1m-1 1h1'/%3E%3C/svg%3E")
}
: :-webkit-scrollbar-thumb{
background-position: 50%;
background-repeat: no-repeat;
background-color: #c8d6fb;
background-size: 7px;
border: 1px solid #fff;
border-radius: 2px;
box-shadow: inset -3px 0 #bad1fc,inset 1px 1px #b7caf5
}
: :-webkit-scrollbar-thumb: vertical{
background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 7 8' shape-rendering='crispEdges'%3E%3Cpath stroke='%23eef4fe' d='M0 0h6M0 2h6M0 4h6M0 6h6'/%3E%3Cpath stroke='%23bad1fc' d='M6 0h1M6 2h1M6 4h1'/%3E%3Cpath stroke='%23c8d6fb' d='M0 1h1M0 3h1M0 5h1M0 7h1'/%3E%3Cpath stroke='%238cb0f8' d='M1 1h6M1 3h6M1 5h6M1 7h6'/%3E%3Cpath stroke='%23bad3fc' d='M6 6h1'/%3E%3C/svg%3E")
}
: :-webkit-scrollbar-thumb: horizontal{
background-size: 8px;background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 8 7' shape-rendering='crispEdges'%3E%3Cpath stroke='%23eef4fe' d='M0 0h1m1 0h1m1 0h1m1 0h1M0 1h1m1 0h1m1 0h1m1 0h1M0 2h1m1 0h1m1 0h1m1 0h1M0 3h1m1 0h1m1 0h1m1 0h1M0 4h1m1 0h1m1 0h1m1 0h1M0 5h1m1 0h1m1 0h1m1 0h1'/%3E%3Cpath stroke='%23c8d6fb' d='M1 0h1m1 0h1m1 0h1m1 0h1'/%3E%3Cpath stroke='%238cb0f8' d='M1 1h1m1 0h1m1 0h1m1 0h1M1 2h1m1 0h1m1 0h1m1 0h1M1 3h1m1 0h1m1 0h1m1 0h1M1 4h1m1 0h1m1 0h1m1 0h1M1 5h1m1 0h1m1 0h1m1 0h1M1 6h1m1 0h1m1 0h1m1 0h1'/%3E%3Cpath stroke='%23bad1fc' d='M0 6h1m1 0h1'/%3E%3Cpath stroke='%23bad3fc' d='M4 6h1m1 0h1'/%3E%3C/svg%3E")
}
: :-webkit-scrollbar-button: vertical: start{
height: 17px;
background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 17 17' shape-rendering='crispEdges'%3E%3Cpath stroke='%23eeede5' d='M0 0h1m15 0h1M0 1h1M0 2h1M0 3h1M0 4h1M0 5h1M0 6h1M0 7h1M0 8h1M0 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m15 0h1M0 16h1m15 0h1'/%3E%3Cpath stroke='%23fdfdfa' d='M1 0h1'/%3E%3Cpath stroke='%23fff' d='M2 0h14M1 1h1m13 0h1M1 2h1m13 0h1M1 3h1m13 0h1M1 4h1m13 0h1M1 5h1m13 0h1M1 6h1m13 0h1M1 7h1m13 0h1M1 8h1m13 0h1M1 9h1m13 0h1M1 10h1m13 0h1M1 11h1m13 0h1M1 12h1m13 0h1M1 13h1m13 0h1M1 14h1m13 0h1M2 15h13'/%3E%3Cpath stroke='%23e6eefc' d='M2 1h1'/%3E%3Cpath stroke='%23d0dffc' d='M3 1h1M2 2h1'/%3E%3Cpath stroke='%23cad8f9' d='M4 1h1M2 3h1'/%3E%3Cpath stroke='%23c4d2f7' d='M5 1h1'/%3E%3Cpath stroke='%23c0d0f7' d='M6 1h1'/%3E%3Cpath stroke='%23bdcef7' d='M7 1h1M2 6h1'/%3E%3Cpath stroke='%23bbcdf5' d='M8 1h1'/%3E%3Cpath stroke='%23b8cbf6' d='M9 1h1M2 7h1'/%3E%3Cpath stroke='%23b7caf5' d='M10 1h1M2 8h1'/%3E%3Cpath stroke='%23b5c8f7' d='M11 1h1'/%3E%3Cpath stroke='%23b3c7f5' d='M12 1h1'/%3E%3Cpath stroke='%23afc5f4' d='M13 1h1'/%3E%3Cpath stroke='%23dce6f9' d='M14 1h1'/%3E%3Cpath stroke='%23dfe2e1' d='M16 1h1'/%3E%3Cpath stroke='%23e1eafe' d='M3 2h1'/%3E%3Cpath stroke='%23dae6fe' d='M4 2h1M3 3h1'/%3E%3Cpath stroke='%23d4e1fc' d='M5 2h1M3 4h1'/%3E%3Cpath stroke='%23d1e0fd' d='M6 2h1M4 4h1'/%3E%3Cpath stroke='%23d0ddfc' d='M7 2h1M3 5h1'/%3E%3Cpath stroke='%23cedbfd' d='M8 2h1M6 3h1'/%3E%3Cpath stroke='%23cad9fd' d='M9 2h1M7 3h1M5 5h1'/%3E%3Cpath stroke='%23c8d8fb' d='M10 2h1'/%3E%3Cpath stroke='%23c5d6fc' d='M11 2h1m-8 8h1m1 0h1'/%3E%3Cpath stroke='%23c2d3fc' d='M12 2h1m-2 1h1m-9 7h1m0 1h1'/%3E%3Cpath stroke='%23bccefa' d='M13 2h1m-1 2h1m-9 9h2'/%3E%3Cpath stroke='%23b9c9f3' d='M14 2h1M5 14h3'/%3E%3Cpath stroke='%23cfd7dd' d='M16 2h1'/%3E%3Cpath stroke='%23d8e3fc' d='M4 3h1'/%3E%3Cpath stroke='%23d1defd' d='M5 3h1'/%3E%3Cpath stroke='%23c9d8fc' d='M8 3h1M6 4h2M5 6h2M3 7h1'/%3E%3Cpath stroke='%23c5d5fc' d='M9 3h1M3 9h1m3 0h1'/%3E%3Cpath stroke='%23c5d3fc' d='M10 3h1'/%3E%3Cpath stroke='%23bed0fc' d='M12 3h1M9 4h1m-7 7h1m0 1h1'/%3E%3Cpath stroke='%23bccdfa' d='M13 3h1'/%3E%3Cpath stroke='%23baccf4' d='M14 3h1'/%3E%3Cpath stroke='%23bdcbda' d='M16 3h1'/%3E%3Cpath stroke='%23c4d4f7' d='M2 4h1'/%3E%3Cpath stroke='%23cddbfc' d='M5 4h1M3 6h1'/%3E%3Cpath stroke='%23c8d5fb' d='M8 4h1'/%3E%3Cpath stroke='%23bbcefd' d='M10 4h3M9 5h1'/%3E%3Cpath stroke='%23bcccf3' d='M14 4h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23b1c2d5' d='M16 4h1'/%3E%3Cpath stroke='%23bed0f8' d='M2 5h1'/%3E%3Cpath stroke='%23ceddfd' d='M4 5h1'/%3E%3Cpath stroke='%23c8d6fb' d='M6 5h2M3 8h2'/%3E%3Cpath stroke='%234d6185' d='M8 5h1M7 6h3M6 7h5M5 8h3m1 0h3M4 9h3m3 0h3m-8 1h1m5 0h1'/%3E%3Cpath stroke='%23bacdfc' d='M10 5h1m1 0h2M3 12h1'/%3E%3Cpath stroke='%23b9cdfb' d='M11 5h1m-2 1h1m1 0h2m-1 1h1'/%3E%3Cpath stroke='%23a8bbd4' d='M16 5h1'/%3E%3Cpath stroke='%23cddafc' d='M4 6h1'/%3E%3Cpath stroke='%23b7cdfc' d='M11 6h1m0 1h1'/%3E%3Cpath stroke='%23a4b8d3' d='M16 6h1'/%3E%3Cpath stroke='%23cad8fd' d='M4 7h2'/%3E%3Cpath stroke='%23b6cefb' d='M11 7h1m0 1h1'/%3E%3Cpath stroke='%23bacbf4' d='M14 7h1'/%3E%3Cpath stroke='%23a0b5d3' d='M16 7h1m-1 1h1m-1 5h1'/%3E%3Cpath stroke='%23c1d3fb' d='M8 8h1'/%3E%3Cpath stroke='%23b6cdfb' d='M13 8h1m-5 5h1'/%3E%3Cpath stroke='%23b9cbf3' d='M14 8h1'/%3E%3Cpath stroke='%23b4c8f6' d='M2 9h1'/%3E%3Cpath stroke='%23c2d5fc' d='M8 9h1m-1 1h1m-3 1h2'/%3E%3Cpath stroke='%23bdd3fb' d='M9 9h1m-2 3h1'/%3E%3Cpath stroke='%23b5cdfa' d='M13 9h1'/%3E%3Cpath stroke='%23b5c9f3' d='M14 9h1'/%3E%3Cpath stroke='%239fb5d2' d='M16 9h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23b1c7f6' d='M2 10h1'/%3E%3Cpath stroke='%23c3d5fd' d='M7 10h1'/%3E%3Cpath stroke='%23bad4fc' d='M9 10h1m-1 1h1'/%3E%3Cpath stroke='%23b2cffb' d='M10 10h1m1 0h1m-2 2h1'/%3E%3Cpath stroke='%23b1cbfa' d='M13 10h1'/%3E%3Cpath stroke='%23b3c8f5' d='M14 10h1m-6 4h2'/%3E%3Cpath stroke='%23adc3f6' d='M2 11h1'/%3E%3Cpath stroke='%23c3d3fd' d='M5 11h1'/%3E%3Cpath stroke='%23c1d5fb' d='M8 11h1'/%3E%3Cpath stroke='%23b7d3fc' d='M10 11h1m-2 1h1'/%3E%3Cpath stroke='%23b3d1fc' d='M11 11h1'/%3E%3Cpath stroke='%23afcefb' d='M12 11h1'/%3E%3Cpath stroke='%23aecafa' d='M13 11h1'/%3E%3Cpath stroke='%23b1c8f3' d='M14 11h1'/%3E%3Cpath stroke='%23acc2f5' d='M2 12h1'/%3E%3Cpath stroke='%23c1d2fb' d='M5 12h1'/%3E%3Cpath stroke='%23bed1fc' d='M6 12h2'/%3E%3Cpath stroke='%23b6d1fb' d='M10 12h1'/%3E%3Cpath stroke='%23afccfb' d='M12 12h1'/%3E%3Cpath stroke='%23adc9f9' d='M13 12h1m-2 1h1'/%3E%3Cpath stroke='%23b1c5f3' d='M14 12h1'/%3E%3Cpath stroke='%23aac0f3' d='M2 13h1'/%3E%3Cpath stroke='%23b7cbf9' d='M3 13h1'/%3E%3Cpath stroke='%23b9cefb' d='M4 13h1'/%3E%3Cpath stroke='%23bbcef9' d='M7 13h1'/%3E%3Cpath stroke='%23b9cffb' d='M8 13h1'/%3E%3Cpath stroke='%23b2cdfb' d='M10 13h1'/%3E%3Cpath stroke='%23b0cbf9' d='M11 13h1'/%3E%3Cpath stroke='%23aec8f7' d='M13 13h1'/%3E%3Cpath stroke='%23b0c5f2' d='M14 13h1'/%3E%3Cpath stroke='%23dbe3f8' d='M2 14h1'/%3E%3Cpath stroke='%23b7c6f1' d='M3 14h1'/%3E%3Cpath stroke='%23b8c9f2' d='M4 14h1m3 0h1'/%3E%3Cpath stroke='%23b2c8f4' d='M11 14h1'/%3E%3Cpath stroke='%23b1c6f3' d='M12 14h1'/%3E%3Cpath stroke='%23b0c4f2' d='M13 14h1'/%3E%3Cpath stroke='%23d9e3f6' d='M14 14h1'/%3E%3Cpath stroke='%23aec0d6' d='M16 14h1'/%3E%3Cpath stroke='%23c3d4e7' d='M1 15h1'/%3E%3Cpath stroke='%23aec4e5' d='M15 15h1'/%3E%3Cpath stroke='%23edf1f3' d='M1 16h1'/%3E%3Cpath stroke='%23aac0e1' d='M2 16h1'/%3E%3Cpath stroke='%2394b1d9' d='M3 16h1'/%3E%3Cpath stroke='%2388a7d8' d='M4 16h1'/%3E%3Cpath stroke='%2383a4d3' d='M5 16h1'/%3E%3Cpath stroke='%237da0d4' d='M6 16h1m3 0h3'/%3E%3Cpath stroke='%237e9fd2' d='M7 16h1'/%3E%3Cpath stroke='%237c9fd3' d='M8 16h2'/%3E%3Cpath stroke='%2382a4d6' d='M13 16h1'/%3E%3Cpath stroke='%2394b0dd' d='M14 16h1'/%3E%3Cpath stroke='%23ecf2f7' d='M15 16h1'/%3E%3C/svg%3E")
}
: :-webkit-scrollbar-button: vertical: end{
height: 17px;
background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 17 17' shape-rendering='crispEdges'%3E%3Cpath stroke='%23eeede5' d='M0 0h1m15 0h1M0 1h1M0 2h1M0 3h1M0 4h1M0 5h1M0 6h1M0 7h1M0 8h1M0 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m15 0h1M0 16h1m15 0h1'/%3E%3Cpath stroke='%23fdfdfa' d='M1 0h1'/%3E%3Cpath stroke='%23fff' d='M2 0h14M1 1h1m13 0h1M1 2h1m13 0h1M1 3h1m13 0h1M1 4h1m13 0h1M1 5h1m13 0h1M1 6h1m13 0h1M1 7h1m13 0h1M1 8h1m13 0h1M1 9h1m13 0h1M1 10h1m13 0h1M1 11h1m13 0h1M1 12h1m13 0h1M1 13h1m13 0h1M1 14h1m13 0h1M2 15h13'/%3E%3Cpath stroke='%23e6eefc' d='M2 1h1'/%3E%3Cpath stroke='%23d0dffc' d='M3 1h1M2 2h1'/%3E%3Cpath stroke='%23cad8f9' d='M4 1h1M2 3h1'/%3E%3Cpath stroke='%23c4d2f7' d='M5 1h1'/%3E%3Cpath stroke='%23c0d0f7' d='M6 1h1'/%3E%3Cpath stroke='%23bdcef7' d='M7 1h1M2 6h1'/%3E%3Cpath stroke='%23bbcdf5' d='M8 1h1'/%3E%3Cpath stroke='%23b8cbf6' d='M9 1h1M2 7h1'/%3E%3Cpath stroke='%23b7caf5' d='M10 1h1M2 8h1'/%3E%3Cpath stroke='%23b5c8f7' d='M11 1h1'/%3E%3Cpath stroke='%23b3c7f5' d='M12 1h1'/%3E%3Cpath stroke='%23afc5f4' d='M13 1h1'/%3E%3Cpath stroke='%23dce6f9' d='M14 1h1'/%3E%3Cpath stroke='%23dfe2e1' d='M16 1h1'/%3E%3Cpath stroke='%23e1eafe' d='M3 2h1'/%3E%3Cpath stroke='%23dae6fe' d='M4 2h1M3 3h1'/%3E%3Cpath stroke='%23d4e1fc' d='M5 2h1M3 4h1'/%3E%3Cpath stroke='%23d1e0fd' d='M6 2h1M4 4h1'/%3E%3Cpath stroke='%23d0ddfc' d='M7 2h1M3 5h1'/%3E%3Cpath stroke='%23cedbfd' d='M8 2h1M6 3h1'/%3E%3Cpath stroke='%23cad9fd' d='M9 2h1M7 3h1M5 5h1'/%3E%3Cpath stroke='%23c8d8fb' d='M10 2h1'/%3E%3Cpath stroke='%23c5d6fc' d='M11 2h1m-8 8h3'/%3E%3Cpath stroke='%23c2d3fc' d='M12 2h1m-2 1h1m-9 7h1m0 1h1'/%3E%3Cpath stroke='%23bccefa' d='M13 2h1m-1 2h1m-9 9h2'/%3E%3Cpath stroke='%23b9c9f3' d='M14 2h1M5 14h3'/%3E%3Cpath stroke='%23cfd7dd' d='M16 2h1'/%3E%3Cpath stroke='%23d8e3fc' d='M4 3h1'/%3E%3Cpath stroke='%23d1defd' d='M5 3h1'/%3E%3Cpath stroke='%23c9d8fc' d='M8 3h1M6 4h2M6 6h2M3 7h1'/%3E%3Cpath 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}
.window{
box-shadow: inset -1px -1px #00138c,inset 1px 1px #0831d9,inset -2px -2px #001ea0,inset 2px 2px #166aee,inset -3px -3px #003bda,inset 3px 3px #0855dd;
border-top-left-radius: 8px;
border-top-right-radius: 8px;
padding: 0 0 3px;
-webkit-font-smoothing: antialiased
}
.title-bar{
background: linear-gradient(180deg,#0997ff,#0053ee 8%,#0050ee 40%,#06f 88%,#06f 93%,#005bff 95%,#003dd7 96%,#003dd7);
padding: 3px 5px 3px 3px;
border-top: 1px solid #0831d9;
border-left: 1px solid #0831d9;
border-right: 1px solid #001ea0;
border-top-left-radius: 8px;
border-top-right-radius: 7px;
font-size: 13px;
text-shadow: 1px 1px #0f1089;
height: 21px
}
.title-bar-text{
padding-left: 3px
}
.title-bar-controls{
display: flex
}
.title-bar-controls button{
min-width: 21px;
min-height: 21px;
margin-left: 2px;
background-repeat: no-repeat;
background-position: 50%;
box-shadow: none;
background-color: #0050ee;
transition: background .1s;
border: none
}
.title-bar-controls button: active,.title-bar-controls button: focus,.title-bar-controls button: hover{
box-shadow: none!important
}
.title-bar-controls button[aria-label=Minimize]{
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}
.title-bar-controls button[aria-label=Maximize]: not(: disabled): active{
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}
.title-bar-controls button[aria-label=Restore]{
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}
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}
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stroke='%23b5381a' d='M9 4h1M4 9h1'/%3E%3Cpath stroke='%23b8391a' d='M10 4h1m-7 6h1'/%3E%3Cpath stroke='%23ba3a1b' d='M11 4h1m-8 7h2'/%3E%3Cpath stroke='%23bc3b1c' d='M12 4h1m-9 8h1'/%3E%3Cpath stroke='%23bd3c1c' d='M13 4h1m-1 1h1m-2 1h1m-7 6h1m-3 1h2'/%3E%3Cpath stroke='%23be3d1c' d='M14 4h3m-1 1h1m-1 1h1M4 14h1m-1 1h1m-1 1h2'/%3E%3Cpath stroke='%23bf3d1c' d='M17 4h3m-3 1h3m-2 1h2m-1 1h1M4 17h2m-2 1h4m-4 1h4'/%3E%3Cpath stroke='%235b1d0d' d='M1 5h1'/%3E%3Cpath stroke='%239c3016' d='M3 5h1'/%3E%3Cpath stroke='%23a43217' d='M4 5h1'/%3E%3Cpath stroke='%23b8553e' d='M5 5h1'/%3E%3Cpath stroke='%23d59485' d='M6 5h1M5 6h1'/%3E%3Cpath stroke='%23b33619' d='M7 5h1'/%3E%3Cpath stroke='%23b53719' d='M8 5h1'/%3E%3Cpath stroke='%23b8381a' d='M9 5h1M6 8h1'/%3E%3Cpath stroke='%23b9391b' d='M10 5h1'/%3E%3Cpath stroke='%23ba391b' d='M11 5h1M6 9h1m-2 1h1'/%3E%3Cpath stroke='%23bc3b1b' d='M12 5h1m-2 1h1m-6 5h1m-2 1h1'/%3E%3Cpath stroke='%23dc9887' d='M14 5h1'/%3E%3Cpath stroke='%23c85d42' d='M15 5h1M5 15h1'/%3E%3Cpath stroke='%23611f0e' d='M1 6h1'/%3E%3Cpath stroke='%23a23217' d='M3 6h1'/%3E%3Cpath stroke='%23d79585' d='M6 6h1'/%3E%3Cpath stroke='%23d89585' d='M7 6h1'/%3E%3Cpath stroke='%23b8371a' d='M8 6h1'/%3E%3Cpath stroke='%23ba391a' d='M9 6h1'/%3E%3Cpath stroke='%23bb3a1b' d='M10 6h1m-5 4h1'/%3E%3Cpath stroke='%23dd9887' d='M13 6h3m-4 1h1m-2 1h1M9 9h1m-2 2h1m-2 1h1m-2 1h1m-2 1h2'/%3E%3Cpath stroke='%23c03e1d' d='M17 6h1m-2 1h3m0 1h1m-1 1h1M7 16h1m-2 1h2m0 1h1'/%3E%3Cpath stroke='%2365200e' d='M1 7h1'/%3E%3Cpath stroke='%23902d15' d='M2 7h1'/%3E%3Cpath stroke='%23a73418' d='M3 7h1'/%3E%3Cpath stroke='%23af3518' d='M4 7h1'/%3E%3Cpath stroke='%23b43619' d='M5 7h1'/%3E%3Cpath stroke='%23d99585' d='M6 7h1'/%3E%3Cpath stroke='%23da9686' d='M7 7h1'/%3E%3Cpath stroke='%23db9686' d='M8 7h1M7 8h1'/%3E%3Cpath stroke='%23bc3a1b' d='M9 7h1M7 9h1'/%3E%3Cpath stroke='%23bd3b1b' d='M10 7h1m-4 3h1'/%3E%3Cpath stroke='%23be3c1c' d='M11 7h1m-2 1h1m-3 2h1m-2 1h1'/%3E%3Cpath stroke='%23de9987' d='M13 7h2m-3 1h2m-4 1h2m-3 1h1m-2 2h1m-2 2h1'/%3E%3Cpath stroke='%23c03f1d' d='M15 7h1m-9 8h1'/%3E%3Cpath stroke='%236a220f' d='M1 8h1'/%3E%3Cpath stroke='%23952f15' d='M2 8h1'/%3E%3Cpath stroke='%23ac3518' d='M3 8h1'/%3E%3Cpath stroke='%23b63719' d='M5 8h1'/%3E%3Cpath stroke='%23dc9786' d='M8 8h2M8 9h1'/%3E%3Cpath stroke='%23c2401d' d='M14 8h1m2 0h1m1 3h1M8 14h1m-1 2h1m-1 1h1m0 1h1m1 1h1'/%3E%3Cpath stroke='%23c2401e' d='M15 8h2m1 1h1M8 15h1'/%3E%3Cpath stroke='%23c13f1d' d='M18 8h1m0 2h1M9 19h2'/%3E%3Cpath stroke='%23702410' d='M1 9h1'/%3E%3Cpath stroke='%239b3016' d='M2 9h1'/%3E%3Cpath stroke='%23b03619' d='M3 9h1'/%3E%3Cpath stroke='%23b9381a' d='M5 9h1'/%3E%3Cpath stroke='%23df9a88' d='M12 9h1m-2 1h1m-2 1h1m-2 1h1'/%3E%3Cpath stroke='%23c4421e' d='M13 9h1m2 0h2m0 1h1M9 13h1m9 1h1m-1 1h1M9 16h1m9 0h1M9 17h1m0 1h1m3 1h3'/%3E%3Cpath stroke='%23c5431e' d='M14 9h1'/%3E%3Cpath stroke='%23c5431f' d='M15 9h1m-4 1h1m5 1h1m-9 1h1m-2 2h1m-1 1h1m0 2h1m0 1h1m6 0h1'/%3E%3Cpath stroke='%239e3217' d='M2 10h1'/%3E%3Cpath stroke='%23b4381a' d='M3 10h1'/%3E%3Cpath stroke='%23df9a87' d='M10 10h1m-2 1h1m-2 2h1'/%3E%3Cpath stroke='%23c6441f' d='M13 10h1m3 0h1m-8 3h1m-1 3h1'/%3E%3Cpath stroke='%23c74520' d='M14 10h2m-6 4h1m-1 1h1m7 2h1m-7 1h1m4 0h1'/%3E%3Cpath stroke='%23c7451f' d='M16 10h1m1 2h1'/%3E%3Cpath stroke='%237b2711' d='M1 11h1'/%3E%3Cpath stroke='%23a13217' d='M2 11h1'/%3E%3Cpath stroke='%23b7391a' d='M3 11h1'/%3E%3Cpath stroke='%23e09b88' d='M11 11h1'/%3E%3Cpath stroke='%23e29d89' d='M12 11h1'/%3E%3Cpath stroke='%23c94621' d='M13 11h1m-3 2h1'/%3E%3Cpath stroke='%23ca4721' d='M14 11h1m2 1h1m-7 2h1m-1 1h1m0 2h1m2 1h1'/%3E%3Cpath stroke='%23ca4821' d='M15 11h1m1 6h1'/%3E%3Cpath stroke='%23c94620' d='M16 11h1m1 3h1m-8 2h1m6 0h1'/%3E%3Cpath stroke='%23c84620' d='M17 11h1m0 2h1'/%3E%3Cpath stroke='%23a53418' d='M2 12h1'/%3E%3Cpath stroke='%23b83a1b' d='M3 12h1'/%3E%3Cpath stroke='%23e19d89' d='M11 12h1'/%3E%3Cpath stroke='%23e39e89' d='M12 12h1'/%3E%3Cpath stroke='%23e0947c' d='M13 12h1'/%3E%3Cpath stroke='%23cc4a22' d='M14 12h1m-3 2h1m4 0h1m-6 1h1'/%3E%3Cpath stroke='%23cd4a22' d='M15 12h1m0 1h1m0 2h1m-5 1h1m1 1h1'/%3E%3Cpath stroke='%23cb4922' d='M16 12h1m0 1h1m-5 4h1'/%3E%3Cpath stroke='%23c3411e' d='M19 12h1m-1 1h1m-1 4h1m-8 2h2m3 0h1'/%3E%3Cpath stroke='%23a93618' d='M2 13h1'/%3E%3Cpath stroke='%23dd9987' d='M7 13h1m-2 2h1'/%3E%3Cpath stroke='%23e39f8a' d='M12 13h1'/%3E%3Cpath stroke='%23e59f8b' d='M13 13h1'/%3E%3Cpath stroke='%23e5a08b' d='M14 13h1m-2 1h1'/%3E%3Cpath stroke='%23ce4c23' d='M15 13h1m0 3h1'/%3E%3Cpath stroke='%23882b13' d='M1 14h1'/%3E%3Cpath stroke='%23e6a08b' d='M14 14h1'/%3E%3Cpath stroke='%23e6a18b' d='M15 14h1m-2 1h1'/%3E%3Cpath stroke='%23ce4b23' d='M16 14h1m-4 1h1'/%3E%3Cpath stroke='%238b2c14' d='M1 15h1m-1 1h1'/%3E%3Cpath stroke='%23ac3619' d='M2 15h1'/%3E%3Cpath stroke='%23d76b48' d='M15 15h1'/%3E%3Cpath stroke='%23cf4c23' d='M16 15h1m-2 1h1'/%3E%3Cpath stroke='%23c94721' d='M18 15h1m-3 3h1'/%3E%3Cpath stroke='%23bb3c1b' d='M3 16h1'/%3E%3Cpath stroke='%23bf3e1d' d='M6 16h1'/%3E%3Cpath stroke='%23cb4821' d='M12 16h1'/%3E%3Cpath stroke='%23cd4b23' d='M14 16h1'/%3E%3Cpath stroke='%23cc4922' d='M17 16h1m-4 1h1m1 0h1'/%3E%3Cpath stroke='%238d2d14' d='M1 17h1'/%3E%3Cpath stroke='%23bc3c1b' d='M3 17h1m-1 1h1'/%3E%3Cpath stroke='%23c84520' d='M11 17h1m1 1h1'/%3E%3Cpath stroke='%23ae3719' d='M2 18h1'/%3E%3Cpath stroke='%23c94720' d='M14 18h1'/%3E%3Cpath stroke='%23c95839' d='M19 18h1'/%3E%3Cpath stroke='%23a7bdf0' d='M0 19h1m0 1h1'/%3E%3Cpath stroke='%23ead7d3' d='M1 19h1'/%3E%3Cpath stroke='%23b34e35' d='M2 19h1'/%3E%3Cpath stroke='%23c03e1c' d='M8 19h1'/%3E%3Cpath stroke='%23c9583a' d='M18 19h1'/%3E%3Cpath stroke='%23f3dbd4' d='M19 19h1'/%3E%3Cpath stroke='%23a7bcef' d='M20 19h1m-2 1h1'/%3E%3C/svg%3E")
}
.status-bar{
margin: 0 3px;
box-shadow: inset 0 1px 2px grey;
padding: 2px 1px;
gap: 0
}
.status-bar-field{
-webkit-font-smoothing: antialiased;
box-shadow: none;
padding: 1px 2px;
border-right: 1px solid rgba(208,206,191,.75);
border-left: 1px solid hsla(0,0%,100%,.75)
}
.status-bar-field: first-of-type{
border-left: none
}
.status-bar-field: last-of-type{
border-right: none
}
button{
-webkit-font-smoothing: antialiased;
box-sizing: border-box;
border: 1px solid #003c74;
background: linear-gradient(180deg,#fff,#ecebe5 86%,#d8d0c4);
box-shadow: none;
border-radius: 3px
}
button: not(: disabled).active,button: not(: disabled): active{
box-shadow: none;
background: linear-gradient(180deg,#cdcac3,#e3e3db 8%,#e5e5de 94%,#f2f2f1)
}
button: not(: disabled): hover{
box-shadow: inset -1px 1px #fff0cf,inset 1px 2px #fdd889,inset -2px 2px #fbc761,inset 2px -2px #e5a01a
}
button.focused,button: focus{
box-shadow: inset -1px 1px #cee7ff,inset 1px 2px #98b8ea,inset -2px 2px #bcd4f6,inset 1px -1px #89ade4,inset 2px -2px #89ade4
}
button: :-moz-focus-inner{
border: 0
}
input,label,option,select,textarea{
-webkit-font-smoothing: antialiased
}
input[type=radio]{
appearance: none;
-webkit-appearance: none;
-moz-appearance: none;
margin: 0;
background: 0;
position: fixed;
opacity: 0;
border: none
}
input[type=radio]+label{
line-height: 16px
}
input[type=radio]+label: before{
background: linear-gradient(135deg,#dcdcd7,#fff);
border-radius: 50%;
border: 1px solid #1d5281
}
input[type=radio]: not([disabled]): not(: active)+label: hover: before{
box-shadow: inset -2px -2px #f8b636,inset 2px 2px #fedf9c
}
input[type=radio]: active+label: before{
background: linear-gradient(135deg,#b0b0a7,#e3e1d2)
}
input[type=radio]: checked+label: after{
background: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 5 5' shape-rendering='crispEdges'%3E%3Cpath stroke='%23a9dca6' d='M1 0h1M0 1h1'/%3E%3Cpath stroke='%234dbf4a' d='M2 0h1M0 2h1'/%3E%3Cpath stroke='%23a0d29e' d='M3 0h1M0 3h1'/%3E%3Cpath stroke='%2355d551' d='M1 1h1'/%3E%3Cpath stroke='%2343c33f' d='M2 1h1'/%3E%3Cpath stroke='%2329a826' d='M3 1h1'/%3E%3Cpath stroke='%239acc98' d='M4 1h1M1 4h1'/%3E%3Cpath stroke='%2342c33f' d='M1 2h1'/%3E%3Cpath stroke='%2338b935' d='M2 2h1'/%3E%3Cpath stroke='%2321a121' d='M3 2h1'/%3E%3Cpath stroke='%23269623' d='M4 2h1'/%3E%3Cpath stroke='%232aa827' d='M1 3h1'/%3E%3Cpath stroke='%2322a220' d='M2 3h1'/%3E%3Cpath stroke='%23139210' d='M3 3h1'/%3E%3Cpath stroke='%2398c897' d='M4 3h1'/%3E%3Cpath stroke='%23249624' d='M2 4h1'/%3E%3Cpath stroke='%2398c997' d='M3 4h1'/%3E%3C/svg%3E")
}
input[type=radio]: focus+label{
outline: 1px dotted #000
}
input[type=radio][disabled]+label: before{
border: 1px solid #cac8bb;
background: #fff
}
input[type=radio][disabled]: checked+label: after{
background: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 5 5' shape-rendering='crispEdges'%3E%3Cpath stroke='%23e8e6da' d='M1 0h1M0 1h1'/%3E%3Cpath stroke='%23d2ceb5' d='M2 0h1M0 2h1'/%3E%3Cpath stroke='%23e5e3d4' d='M3 0h1M0 3h1'/%3E%3Cpath stroke='%23d7d3bd' d='M1 1h1'/%3E%3Cpath stroke='%23d0ccb2' d='M2 1h1M1 2h1'/%3E%3Cpath stroke='%23c7c2a2' d='M3 1h1M1 3h1'/%3E%3Cpath stroke='%23e2dfd0' d='M4 1h1M1 4h1'/%3E%3Cpath stroke='%23cdc8ac' d='M2 2h1'/%3E%3Cpath stroke='%23c5bf9f' d='M3 2h1M2 3h1'/%3E%3Cpath stroke='%23c3bd9c' d='M4 2h1'/%3E%3Cpath stroke='%23bfb995' d='M3 3h1'/%3E%3Cpath stroke='%23e2dfcf' d='M4 3h1M3 4h1'/%3E%3Cpath stroke='%23c4be9d' d='M2 4h1'/%3E%3C/svg%3E")
}
input[type=email],input[type=password],textarea: :selection{
background: #2267cb;
color: #fff
}
input[type=range]: :-webkit-slider-thumb{
height: 21px;
width: 11px;
background: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 11 21' shape-rendering='crispEdges'%3E%3Cpath stroke='%23becbd3' d='M1 0h1M0 1h1'/%3E%3Cpath stroke='%23b6c5cd' d='M2 0h1M0 2h1'/%3E%3Cpath stroke='%23b5c4cd' d='M3 0h5M0 3h1M0 4h1M0 5h1M0 6h1M0 7h1M0 8h1M0 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23afbfc8' d='M8 0h1M0 14h1'/%3E%3Cpath stroke='%239fb2be' d='M9 0h1M0 15h1'/%3E%3Cpath stroke='%23a6d1b1' d='M1 1h1'/%3E%3Cpath stroke='%236fd16e' d='M2 1h1M1 2h1'/%3E%3Cpath stroke='%2367ce65' d='M3 1h1M1 3h1'/%3E%3Cpath stroke='%2366ce64' d='M4 1h3'/%3E%3Cpath stroke='%2362cd61' d='M7 1h1'/%3E%3Cpath stroke='%2345c343' d='M8 1h1M7 2h1'/%3E%3Cpath stroke='%2363ac76' d='M9 1h1M2 16h1m0 1h1m0 1h1'/%3E%3Cpath stroke='%23879aa6' d='M10 1h1'/%3E%3Cpath stroke='%2363cd62' d='M2 2h1'/%3E%3Cpath stroke='%2349c547' d='M3 2h1M2 3h1'/%3E%3Cpath stroke='%2347c446' d='M4 2h3'/%3E%3Cpath stroke='%2321b71f' d='M8 2h1'/%3E%3Cpath stroke='%231da41c' d='M9 2h1'/%3E%3Cpath stroke='%237d8e99' d='M10 2h1'/%3E%3Cpath stroke='%2325b923' d='M3 3h1'/%3E%3Cpath stroke='%2321b81f' d='M4 3h4M2 15h1'/%3E%3Cpath stroke='%231ea71c' d='M8 3h1'/%3E%3Cpath stroke='%231b9619' d='M9 3h1'/%3E%3Cpath stroke='%23778892' d='M10 3h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f7f7f4' d='M1 4h1M1 5h1M1 6h1M1 7h1M1 8h1M1 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f5f5f2' d='M2 4h1M2 5h1M2 6h1M2 7h1M2 8h1M2 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f3f3ef' d='M3 4h5M3 5h5M3 6h5M3 7h5M3 8h5M3 9h5m-5 1h5m-5 1h5m-5 1h5m-5 1h4m-4 1h3m-2 1h1'/%3E%3Cpath stroke='%23dcdcd9' d='M8 4h1M8 5h1M8 6h1M8 7h1M8 8h1M8 9h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23c3c3c0' d='M9 4h1M9 5h1M9 6h1M9 7h1M9 8h1M9 9h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f1f1ed' d='M7 13h1m-2 1h1m-2 1h1'/%3E%3Cpath stroke='%23dbdbd8' d='M8 13h1'/%3E%3Cpath stroke='%23c4c4c1' d='M9 13h1'/%3E%3Cpath stroke='%234bc549' d='M1 14h1'/%3E%3Cpath stroke='%23f4f4f1' d='M2 14h1'/%3E%3Cpath stroke='%23e6e6e2' d='M7 14h1m-2 1h1'/%3E%3Cpath stroke='%23cececa' d='M8 14h1'/%3E%3Cpath stroke='%231a9319' d='M9 14h1'/%3E%3Cpath stroke='%23788993' d='M10 14h1'/%3E%3Cpath stroke='%2369b17b' d='M1 15h1'/%3E%3Cpath stroke='%23f2f2ee' d='M3 15h1m0 1h1'/%3E%3Cpath stroke='%23d0d0cc' d='M7 15h1m-2 1h1'/%3E%3Cpath stroke='%231a9118' d='M8 15h1m-2 1h1m-2 1h1'/%3E%3Cpath stroke='%234c845a' d='M9 15h1'/%3E%3Cpath stroke='%2372838d' d='M10 15h1'/%3E%3Cpath stroke='%2391a6b2' d='M1 16h1m0 1h1m0 1h1m0 1h1'/%3E%3Cpath stroke='%2321b61f' d='M3 16h1m0 1h1'/%3E%3Cpath stroke='%23e7e7e3' d='M5 16h1'/%3E%3Cpath stroke='%234b8259' d='M8 16h1m-2 1h1m-2 1h1'/%3E%3Cpath stroke='%236e7e88' d='M9 16h1m-2 1h1m-2 1h1m-2 1h1'/%3E%3Cpath stroke='%23d7d7d4' d='M5 17h1'/%3E%3Cpath stroke='%231da21b' d='M5 18h1'/%3E%3Cpath stroke='%23589868' d='M5 19h1'/%3E%3Cpath stroke='%2380929e' d='M5 20h1'/%3E%3C/svg%3E");
transform: translateY(-8px)
}
input[type=range]: :-moz-range-thumb{
height: 21px;
width: 11px;
border: 0;
border-radius: 0;
background: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 11 21' shape-rendering='crispEdges'%3E%3Cpath stroke='%23becbd3' d='M1 0h1M0 1h1'/%3E%3Cpath stroke='%23b6c5cd' d='M2 0h1M0 2h1'/%3E%3Cpath stroke='%23b5c4cd' d='M3 0h5M0 3h1M0 4h1M0 5h1M0 6h1M0 7h1M0 8h1M0 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23afbfc8' d='M8 0h1M0 14h1'/%3E%3Cpath stroke='%239fb2be' d='M9 0h1M0 15h1'/%3E%3Cpath stroke='%23a6d1b1' d='M1 1h1'/%3E%3Cpath stroke='%236fd16e' d='M2 1h1M1 2h1'/%3E%3Cpath stroke='%2367ce65' d='M3 1h1M1 3h1'/%3E%3Cpath stroke='%2366ce64' d='M4 1h3'/%3E%3Cpath stroke='%2362cd61' d='M7 1h1'/%3E%3Cpath stroke='%2345c343' d='M8 1h1M7 2h1'/%3E%3Cpath stroke='%2363ac76' d='M9 1h1M2 16h1m0 1h1m0 1h1'/%3E%3Cpath stroke='%23879aa6' d='M10 1h1'/%3E%3Cpath stroke='%2363cd62' d='M2 2h1'/%3E%3Cpath stroke='%2349c547' d='M3 2h1M2 3h1'/%3E%3Cpath stroke='%2347c446' d='M4 2h3'/%3E%3Cpath stroke='%2321b71f' d='M8 2h1'/%3E%3Cpath stroke='%231da41c' d='M9 2h1'/%3E%3Cpath stroke='%237d8e99' d='M10 2h1'/%3E%3Cpath stroke='%2325b923' d='M3 3h1'/%3E%3Cpath stroke='%2321b81f' d='M4 3h4M2 15h1'/%3E%3Cpath stroke='%231ea71c' d='M8 3h1'/%3E%3Cpath stroke='%231b9619' d='M9 3h1'/%3E%3Cpath stroke='%23778892' d='M10 3h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f7f7f4' d='M1 4h1M1 5h1M1 6h1M1 7h1M1 8h1M1 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f5f5f2' d='M2 4h1M2 5h1M2 6h1M2 7h1M2 8h1M2 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f3f3ef' d='M3 4h5M3 5h5M3 6h5M3 7h5M3 8h5M3 9h5m-5 1h5m-5 1h5m-5 1h5m-5 1h4m-4 1h3m-2 1h1'/%3E%3Cpath stroke='%23dcdcd9' d='M8 4h1M8 5h1M8 6h1M8 7h1M8 8h1M8 9h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23c3c3c0' d='M9 4h1M9 5h1M9 6h1M9 7h1M9 8h1M9 9h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f1f1ed' d='M7 13h1m-2 1h1m-2 1h1'/%3E%3Cpath stroke='%23dbdbd8' d='M8 13h1'/%3E%3Cpath stroke='%23c4c4c1' d='M9 13h1'/%3E%3Cpath stroke='%234bc549' d='M1 14h1'/%3E%3Cpath stroke='%23f4f4f1' d='M2 14h1'/%3E%3Cpath stroke='%23e6e6e2' d='M7 14h1m-2 1h1'/%3E%3Cpath stroke='%23cececa' d='M8 14h1'/%3E%3Cpath stroke='%231a9319' d='M9 14h1'/%3E%3Cpath stroke='%23788993' d='M10 14h1'/%3E%3Cpath stroke='%2369b17b' d='M1 15h1'/%3E%3Cpath stroke='%23f2f2ee' d='M3 15h1m0 1h1'/%3E%3Cpath stroke='%23d0d0cc' d='M7 15h1m-2 1h1'/%3E%3Cpath stroke='%231a9118' d='M8 15h1m-2 1h1m-2 1h1'/%3E%3Cpath stroke='%234c845a' d='M9 15h1'/%3E%3Cpath stroke='%2372838d' d='M10 15h1'/%3E%3Cpath stroke='%2391a6b2' d='M1 16h1m0 1h1m0 1h1m0 1h1'/%3E%3Cpath stroke='%2321b61f' d='M3 16h1m0 1h1'/%3E%3Cpath stroke='%23e7e7e3' d='M5 16h1'/%3E%3Cpath stroke='%234b8259' d='M8 16h1m-2 1h1m-2 1h1'/%3E%3Cpath stroke='%236e7e88' d='M9 16h1m-2 1h1m-2 1h1m-2 1h1'/%3E%3Cpath stroke='%23d7d7d4' d='M5 17h1'/%3E%3Cpath stroke='%231da21b' d='M5 18h1'/%3E%3Cpath stroke='%23589868' d='M5 19h1'/%3E%3Cpath stroke='%2380929e' d='M5 20h1'/%3E%3C/svg%3E");
transform: translateY(2px)
}
input[type=range]: :-webkit-slider-runnable-track{
width: 100%;
height: 2px;
box-sizing: border-box;
background: #ecebe4;
border-right: 1px solid #f3f2ea;
border-bottom: 1px solid #f3f2ea;
border-radius: 2px;
box-shadow: 1px 0 0 #fff,1px 1px 0 #fff,0 1px 0 #fff,-1px 0 0 #9d9c99,-1px -1px 0 #9d9c99,0 -1px 0 #9d9c99,-1px 1px 0 #fff,1px -1px #9d9c99
}
input[type=range]: :-moz-range-track{
width: 100%;
height: 2px;
box-sizing: border-box;
background: #ecebe4;
border-right: 1px solid #f3f2ea;
border-bottom: 1px solid #f3f2ea;
border-radius: 2px;
box-shadow: 1px 0 0 #fff,1px 1px 0 #fff,0 1px 0 #fff,-1px 0 0 #9d9c99,-1px -1px 0 #9d9c99,0 -1px 0 #9d9c99,-1px 1px 0 #fff,1px -1px #9d9c99
}
input[type=range].has-box-indicator: :-webkit-slider-thumb{
background: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 11 22' shape-rendering='crispEdges'%3E%3Cpath stroke='%23f2f1e7' d='M0 0h1m9 0h1M0 21h1m9 0h1'/%3E%3Cpath stroke='%23879aa6' d='M1 0h1m8 20h1'/%3E%3Cpath stroke='%237d8e99' d='M2 0h1m7 19h1'/%3E%3Cpath stroke='%23778892' d='M3 0h5m2 3h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23788993' d='M8 0h1m1 2h1'/%3E%3Cpath stroke='%2372838d' d='M9 0h1m0 1h1'/%3E%3Cpath stroke='%239fb2be' d='M0 1h1m8 20h1'/%3E%3Cpath stroke='%2363af76' d='M1 1h1m7 19h1'/%3E%3Cpath stroke='%231eab1c' d='M2 1h1m6 18h1'/%3E%3Cpath stroke='%231c9d1a' d='M3 1h1'/%3E%3Cpath stroke='%231b9a1a' d='M4 1h3m1 0h1m0 1h1'/%3E%3Cpath stroke='%231b9b1a' d='M7 1h1'/%3E%3Cpath stroke='%234d875b' d='M9 1h1'/%3E%3Cpath stroke='%23afbfc8' d='M0 2h1m7 19h1'/%3E%3Cpath stroke='%2346ca44' d='M1 2h1m5 17h1m0 1h1'/%3E%3Cpath stroke='%2322be20' d='M2 2h1m5 17h1'/%3E%3Cpath stroke='%231faf1d' d='M3 2h1'/%3E%3Cpath stroke='%231fae1d' d='M4 2h3'/%3E%3Cpath stroke='%231fad1d' d='M7 2h1'/%3E%3Cpath stroke='%231da11b' d='M8 2h1'/%3E%3Cpath stroke='%23b5c4cd' d='M0 3h1M0 4h1M0 5h1M0 6h1M0 7h1M0 8h1M0 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m2 3h5'/%3E%3Cpath stroke='%23f7f7f4' d='M1 3h1M1 4h1M1 5h1M1 6h1M1 7h1M1 8h1M1 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f5f5f2' d='M2 3h1M2 4h1M2 5h1M2 6h1M2 7h1M2 8h1M2 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f3f3ef' d='M3 3h4M3 4h5M3 5h5M3 6h5M3 7h5M3 8h5M3 9h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5'/%3E%3Cpath stroke='%23f1f1ed' d='M7 3h1'/%3E%3Cpath stroke='%23dbdbd8' d='M8 3h1'/%3E%3Cpath stroke='%23c4c4c1' d='M9 3h1'/%3E%3Cpath stroke='%23ddddd9' d='M8 4h1M8 18h1'/%3E%3Cpath stroke='%23c6c6c3' d='M9 4h1M9 18h1'/%3E%3Cpath stroke='%23dcdcd9' d='M8 5h1M8 6h1M8 7h1M8 8h1M8 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23c3c3c0' d='M9 5h1M9 6h1M9 7h1M9 8h1M9 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23b6c5cd' d='M0 19h1m1 2h1'/%3E%3Cpath stroke='%2370d66f' d='M1 19h1m0 1h1'/%3E%3Cpath stroke='%2364d362' d='M2 19h1'/%3E%3Cpath stroke='%234acb48' d='M3 19h1'/%3E%3Cpath stroke='%2348cb46' d='M4 19h3'/%3E%3Cpath stroke='%23becbd3' d='M0 20h1m0 1h1'/%3E%3Cpath stroke='%23a6d2b1' d='M1 20h1'/%3E%3Cpath stroke='%2367d466' d='M3 20h1'/%3E%3Cpath stroke='%2366d465' d='M4 20h3'/%3E%3Cpath stroke='%2363d362' d='M7 20h1'/%3E%3C/svg%3E");transform: translateY(-10px)
}
input[type=range].has-box-indicator: :-moz-range-thumb{
background: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 11 22' shape-rendering='crispEdges'%3E%3Cpath stroke='%23f2f1e7' d='M0 0h1m9 0h1M0 21h1m9 0h1'/%3E%3Cpath stroke='%23879aa6' d='M1 0h1m8 20h1'/%3E%3Cpath stroke='%237d8e99' d='M2 0h1m7 19h1'/%3E%3Cpath stroke='%23778892' d='M3 0h5m2 3h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23788993' d='M8 0h1m1 2h1'/%3E%3Cpath stroke='%2372838d' d='M9 0h1m0 1h1'/%3E%3Cpath stroke='%239fb2be' d='M0 1h1m8 20h1'/%3E%3Cpath stroke='%2363af76' d='M1 1h1m7 19h1'/%3E%3Cpath stroke='%231eab1c' d='M2 1h1m6 18h1'/%3E%3Cpath stroke='%231c9d1a' d='M3 1h1'/%3E%3Cpath stroke='%231b9a1a' d='M4 1h3m1 0h1m0 1h1'/%3E%3Cpath stroke='%231b9b1a' d='M7 1h1'/%3E%3Cpath stroke='%234d875b' d='M9 1h1'/%3E%3Cpath stroke='%23afbfc8' d='M0 2h1m7 19h1'/%3E%3Cpath stroke='%2346ca44' d='M1 2h1m5 17h1m0 1h1'/%3E%3Cpath stroke='%2322be20' d='M2 2h1m5 17h1'/%3E%3Cpath stroke='%231faf1d' d='M3 2h1'/%3E%3Cpath stroke='%231fae1d' d='M4 2h3'/%3E%3Cpath stroke='%231fad1d' d='M7 2h1'/%3E%3Cpath stroke='%231da11b' d='M8 2h1'/%3E%3Cpath stroke='%23b5c4cd' d='M0 3h1M0 4h1M0 5h1M0 6h1M0 7h1M0 8h1M0 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m2 3h5'/%3E%3Cpath stroke='%23f7f7f4' d='M1 3h1M1 4h1M1 5h1M1 6h1M1 7h1M1 8h1M1 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f5f5f2' d='M2 3h1M2 4h1M2 5h1M2 6h1M2 7h1M2 8h1M2 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f3f3ef' d='M3 3h4M3 4h5M3 5h5M3 6h5M3 7h5M3 8h5M3 9h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5'/%3E%3Cpath stroke='%23f1f1ed' d='M7 3h1'/%3E%3Cpath stroke='%23dbdbd8' d='M8 3h1'/%3E%3Cpath stroke='%23c4c4c1' d='M9 3h1'/%3E%3Cpath stroke='%23ddddd9' d='M8 4h1M8 18h1'/%3E%3Cpath stroke='%23c6c6c3' d='M9 4h1M9 18h1'/%3E%3Cpath stroke='%23dcdcd9' d='M8 5h1M8 6h1M8 7h1M8 8h1M8 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23c3c3c0' d='M9 5h1M9 6h1M9 7h1M9 8h1M9 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23b6c5cd' d='M0 19h1m1 2h1'/%3E%3Cpath stroke='%2370d66f' d='M1 19h1m0 1h1'/%3E%3Cpath stroke='%2364d362' d='M2 19h1'/%3E%3Cpath stroke='%234acb48' d='M3 19h1'/%3E%3Cpath stroke='%2348cb46' d='M4 19h3'/%3E%3Cpath stroke='%23becbd3' d='M0 20h1m0 1h1'/%3E%3Cpath stroke='%23a6d2b1' d='M1 20h1'/%3E%3Cpath stroke='%2367d466' d='M3 20h1'/%3E%3Cpath stroke='%2366d465' d='M4 20h3'/%3E%3Cpath stroke='%2363d362' d='M7 20h1'/%3E%3C/svg%3E");transform: translateY(0)
}
.is-vertical>input[type=range]: :-webkit-slider-runnable-track{
border-left: 1px solid #f3f2ea;
border-right: 0;
border-bottom: 1px solid #f3f2ea;
box-shadow: -1px 0 0 #fff,-1px 1px 0 #fff,0 1px 0 #fff,1px 0 0 #9d9c99,1px -1px 0 #9d9c99,0 -1px 0 #9d9c99,1px 1px 0 #fff,-1px -1px #9d9c99
}
.is-vertical>input[type=range]: :-moz-range-track{
border-left: 1px solid #f3f2ea;
border-right: 0;
border-bottom: 1px solid #f3f2ea;
box-shadow: -1px 0 0 #fff,-1px 1px 0 #fff,0 1px 0 #fff,1px 0 0 #9d9c99,1px -1px 0 #9d9c99,0 -1px 0 #9d9c99,1px 1px 0 #fff,-1px -1px #9d9c99
}
fieldset{
box-shadow: none;
background: #fff;
border: 1px solid #d0d0bf;
border-radius: 4px;
padding-top: 10px
}
legend{
background: transparent;
color: #0046d5
}
.field-row{
display: flex;
align-items: center
}
.field-row>*+*{
margin-left: 6px
}
[class^=field-row]+[class^=field-row]{
margin-top: 6px
}
.field-row-stacked{
display: flex;
flex-direction: column
}
.field-row-stacked *+*{
margin-top: 6px
}
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8
],
[
1747198884.1539783,
50,
4,
8
]
];
var tab_main_worker_cpu_ram_csv_json = [
[
1747050909,
652.453125,
3.1
],
[
1747050909,
652.453125,
3.4
],
[
1747050909,
652.69921875,
2.9
],
[
1747050909,
652.69921875,
2.2
],
[
1747050909,
652.69921875,
2.2
],
[
1747050909,
652.69921875,
3.1
],
[
1747050909,
652.69921875,
4.4
],
[
1747056742,
757.8203125,
4.2
],
[
1747056742,
757.8203125,
4.8
],
[
1747056743,
757.8203125,
4.6
],
[
1747056743,
757.8203125,
3.1
],
[
1747063700,
768.65625,
11.1
],
[
1747063700,
768.65625,
3.7
],
[
1747063700,
768.65625,
4
],
[
1747063700,
768.65625,
5.7
],
[
1747071536,
781.39453125,
5.5
],
[
1747071536,
781.39453125,
9.5
],
[
1747071536,
781.39453125,
9.1
],
[
1747071536,
781.39453125,
8.7
],
[
1747093059,
805.51171875,
11.8
],
[
1747093059,
805.51171875,
16.8
],
[
1747093059,
805.51171875,
16.4
],
[
1747093059,
805.51171875,
14.7
],
[
1747122763,
812.859375,
17.3
],
[
1747122763,
812.859375,
18.4
],
[
1747122764,
812.859375,
17.4
],
[
1747122764,
812.859375,
20.3
],
[
1747147987,
810.89453125,
17.1
],
[
1747147987,
810.89453125,
18.5
],
[
1747147987,
810.89453125,
18.5
],
[
1747147987,
810.89453125,
20.4
],
[
1747172668,
816.95703125,
16.7
],
[
1747172668,
816.95703125,
17.6
],
[
1747172668,
816.95703125,
17
],
[
1747172668,
816.95703125,
22.2
],
[
1747198912,
842.71484375,
17.1
],
[
1747198912,
842.71484375,
15.8
],
[
1747198912,
842.71484375,
16.4
],
[
1747198912,
842.71484375,
20.5
]
];
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 {
$(this)
.css("text-shadow", "unset")
.css("font-size", "0.9em")
.css("fill", "black")
.css("stroke", "unset")
.css("stroke-width", "unset")
.css("paint-order", "stroke fill");
}
});
}
function createParallelPlot(dataArray, headers, resultNames, ignoreColumns = [], reload = false) {
try {
if ($("#parallel-plot").data("loaded") === "true" && !reload) {
return;
}
// Filter rows ohne leere Werte (wie in deinem Originalcode)
dataArray = filterNonEmptyRows(dataArray);
const ignoreSet = new Set(ignoreColumns);
const numericalCols = [];
const categoricalCols = [];
const categoryMappings = {};
const enable_slurm_id_if_exists = $("#enable_slurm_id_if_exists").is(":checked");
// Spalten einteilen in numerisch oder kategorisch + category mappings aufbauen
headers.forEach((header, colIndex) => {
if (ignoreSet.has(header)) return;
if (!enable_slurm_id_if_exists && header === "OO_Info_SLURM_JOB_ID") 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]));
}
});
// Erzeuge UI für Checkboxen und Min/Max Inputs für numerische Spalten
const controlContainerId = "parallel-plot-controls";
let controlContainer = $("#" + controlContainerId);
if (controlContainer.length === 0) {
controlContainer = $('<div id="' + controlContainerId + '" style="margin-bottom:10px; display: flex;"></div>');
$("#parallel-plot").before(controlContainer);
} else {
controlContainer.empty();
}
// Map um Checkbox-Zustände und Min/Max-Werte zu speichern
const columnVisibility = {};
const minMaxLimits = {};
// Checkboxen + Min/Max Felder generieren mit Boxen, max-Breite, Umbruch und Zeilenumbruch nach jeder Box
headers.forEach((header) => {
try {
if (ignoreSet.has(header)) return;
if (!enable_slurm_id_if_exists && header === "OO_Info_SLURM_JOB_ID") return;
const isNumerical = numericalCols.some(col => col.name === header);
const checkboxId = `chk_${header}`;
const minInputId = `min_${header}`;
const maxInputId = `max_${header}`;
columnVisibility[header] = true;
minMaxLimits[header] = { min: null, max: null };
// Wrapper Box mit max-Breite, Umbruch, Block-Level-Element für newline nach jeder Box
const boxWrapper = $('<div></div>').css({
border: "1px solid #ddd",
borderRadius: "8px",
padding: "12px 16px",
marginBottom: "12px",
boxShadow: "0 2px 6px rgba(0,0,0,0.1)",
backgroundColor: "#fff",
display: "flex",
flexWrap: "wrap",
alignItems: "center",
gap: "15px",
maxWidth: "350px",
width: "100%", // damit bei kleinen Screens die Box maximal voll breit ist
boxSizing: "border-box"
});
// Innerer Container mit Flexbox für Ausrichtung der Elemente, flex-grow damit Inputs genug Platz bekommen
const container = $('<div></div>').css({
display: "flex",
alignItems: "center",
gap: "10px",
flexWrap: "wrap",
flexGrow: 1,
minWidth: "0" // wichtig für flexbox Overflow Handling
});
// Checkbox mit Label
const checkbox = $(`<input type="checkbox" id="${checkboxId}" checked />`);
const label = $(`<label for="${checkboxId}" style="font-weight: 600; min-width: 140px; cursor: pointer; white-space: nowrap;">${header}</label>`);
container.append(checkbox).append(label);
if (isNumerical) {
// Werte ermitteln (nur gültige Zahlen)
const numericValues = dataArray
.map(row => parseFloat(row[headers.indexOf(header)]))
.filter(val => !isNaN(val));
const minVal = numericValues.length > 0 ? Math.min(...numericValues) : 0;
const maxVal = numericValues.length > 0 ? Math.max(...numericValues) : 100;
// Min Input mit Label
const minWrapper = $('<div></div>').css({
display: "flex",
flexDirection: "column",
alignItems: "flex-start",
minWidth: "90px"
});
const minLabel = $('<label></label>').attr("for", minInputId).text("Min").css({
fontSize: "0.75rem",
color: "#555",
marginBottom: "2px"
});
const minInput = $(`<input type="number" id="${minInputId}" placeholder="min" />`).css({
width: "80px",
padding: "5px 8px",
borderRadius: "5px",
border: "1px solid #ccc",
boxShadow: "inset 0 1px 3px rgba(0,0,0,0.1)",
transition: "border-color 0.3s ease"
});
minInput.attr("min", minVal);
minInput.attr("max", maxVal);
minInput.on("focus", function () {
$(this).css("border-color", "#007BFF");
});
minInput.on("blur", function () {
$(this).css("border-color", "#ccc");
});
minWrapper.append(minLabel).append(minInput);
// Max Input mit Label
const maxWrapper = $('<div></div>').css({
display: "flex",
flexDirection: "column",
alignItems: "flex-start",
minWidth: "90px"
});
const maxLabel = $('<label></label>').attr("for", maxInputId).text("Max").css({
fontSize: "0.75rem",
color: "#555",
marginBottom: "2px"
});
const maxInput = $(`<input type="number" id="${maxInputId}" placeholder="max" />`).css({
width: "80px",
padding: "5px 8px",
borderRadius: "5px",
border: "1px solid #ccc",
boxShadow: "inset 0 1px 3px rgba(0,0,0,0.1)",
transition: "border-color 0.3s ease"
});
maxInput.attr("min", minVal);
maxInput.attr("max", maxVal);
maxInput.on("focus", function () {
$(this).css("border-color", "#007BFF");
});
maxInput.on("blur", function () {
$(this).css("border-color", "#ccc");
});
maxWrapper.append(maxLabel).append(maxInput);
// Events für min/max Eingaben
minInput.on("input", function () {
const val = parseFloat($(this).val());
minMaxLimits[header].min = isNaN(val) ? null : val;
updatePlot();
});
maxInput.on("input", function () {
const val = parseFloat($(this).val());
minMaxLimits[header].max = isNaN(val) ? null : val;
updatePlot();
});
container.append(minWrapper).append(maxWrapper);
}
// Checkbox Change Event
checkbox.on("change", function () {
columnVisibility[header] = $(this).is(":checked");
updatePlot();
});
boxWrapper.append(container);
// Jede Box bekommt ihren eigenen Block (also newline)
controlContainer.append(boxWrapper);
} catch (error) {
console.error(`Fehler bei Header '${header}':`, error);
}
});
// Erzeuge Ergebnis-Auswahl für Farbskala (color by result)
const resultSelectId = "result-select";
let resultSelect = $(`#${resultSelectId}`);
if (resultSelect.length === 0) {
resultSelect = $(`<select id="${resultSelectId}"></select>`);
controlContainer.before(resultSelect);
} else {
resultSelect.empty();
}
resultSelect.append('<option value="none">No color</option>');
for (let i = 0; i < resultNames.length; i++) {
let minMaxInfo = "min [auto]";
if (typeof result_min_max !== "undefined" && result_min_max[i] !== undefined) {
minMaxInfo = result_min_max[i];
}
resultSelect.append(`<option value="${resultNames[i]}">${resultNames[i]} (${minMaxInfo})</option>`);
}
let colorValues = null;
let colorScale = null;
resultSelect.off("change").on("change", function () {
const selectedResult = $(this).val();
if (selectedResult === "none") {
colorValues = null;
colorScale = null;
} else {
const col = numericalCols.find(c => c.name.toLowerCase() === selectedResult.toLowerCase());
if (!col) {
colorValues = null;
colorScale = null;
updatePlot();
return;
}
colorValues = dataArray.map(row => parseFloat(row[col.index]));
let invertColor = false;
if (typeof result_min_max !== "undefined") {
const idx = resultNames.indexOf(selectedResult);
if (idx !== -1) {
invertColor = result_min_max[idx] === "max";
}
}
colorScale = invertColor
? [[0, 'red'], [1, 'green']]
: [[0, 'green'], [1, 'red']];
}
updatePlot();
});
// Initial Auswahl: kein Farbwert, oder erstes Ergebnis falls nur eins
if (resultNames.length === 1) {
resultSelect.val(resultNames[0]).trigger("change");
} else {
resultSelect.val("none").trigger("change");
}
function updatePlot() {
try {
// Filter Spalten nach Checkboxen
const filteredNumericalCols = numericalCols.filter(col => columnVisibility[col.name]);
const filteredCategoricalCols = categoricalCols.filter(col => columnVisibility[col.name]);
// Filtere die Datenzeilen, um nur die zu behalten, die innerhalb aller gesetzten Min/Max Limits liegen
const filteredData = dataArray.filter(row => {
for (let col of filteredNumericalCols) {
const val = parseFloat(row[col.index]);
if (isNaN(val)) return false; // ungültiger Wert raus
const limits = minMaxLimits[col.name];
if (limits.min !== null && val < limits.min) return false;
if (limits.max !== null && val > limits.max) return false;
}
// Kategorische Werte ignorieren Filter (könntest hier evtl. erweitern)
return true;
});
const dimensions = [];
// Füge numerische Dimensionen hinzu mit Min/Max Limits (Range anhand gefilterter Daten)
filteredNumericalCols.forEach(col => {
let vals = filteredData.map(row => parseFloat(row[col.index]));
// Fallback falls alle Werte NaN (sollte eigentlich nicht vorkommen)
const realMin = vals.length > 0 ? Math.min(...vals) : 0;
const realMax = vals.length > 0 ? Math.max(...vals) : 100;
dimensions.push({
label: col.name,
values: vals,
range: [realMin, realMax]
});
});
// Kategorische Dimensionen (aus gefilterten Daten)
filteredCategoricalCols.forEach(col => {
const vals = filteredData.map(row => categoryMappings[col.name][row[col.index]]);
dimensions.push({
label: col.name,
values: vals,
tickvals: Object.values(categoryMappings[col.name]),
ticktext: Object.keys(categoryMappings[col.name])
});
});
// Linienfarbe bestimmen, falls Farbskala gesetzt ist
let filteredColorValues = null;
if (colorValues) {
// Da colorValues für alle Daten sind, filtere sie auch entsprechend
filteredColorValues = filteredData.map(row => {
const col = numericalCols.find(c => c.name.toLowerCase() === resultSelect.val().toLowerCase());
return col ? parseFloat(row[col.index]) : null;
});
}
const trace = {
type: 'parcoords',
dimensions: dimensions,
line: filteredColorValues ? { color: filteredColorValues, 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();
} catch (error) {
console.error("Fehler in updatePlot():", error);
}
}
updatePlot();
$("#parallel-plot").data("loaded", "true");
make_text_in_parallel_plot_nicer();
} catch (err) {
console.error("Error in createParallelPlot:", err);
}
}
function plotWorkerUsage() {
if($("#workerUsagePlot").data("loaded") == "true") {
return;
}
var data = tab_worker_usage_csv_json;
if (!Array.isArray(data) || data.length === 0) {
console.error("Invalid or empty data provided.");
return;
}
let timestamps = [];
let desiredWorkers = [];
let realWorkers = [];
for (let i = 0; i < data.length; i++) {
let entry = data[i];
if (!Array.isArray(entry) || entry.length < 3) {
console.warn("Skipping invalid entry:", entry);
continue;
}
let unixTime = parseFloat(entry[0]);
let desired = parseInt(entry[1], 10);
let real = parseInt(entry[2], 10);
if (isNaN(unixTime) || isNaN(desired) || isNaN(real)) {
console.warn("Skipping invalid numerical values:", entry);
continue;
}
timestamps.push(new Date(unixTime * 1000).toISOString());
desiredWorkers.push(desired);
realWorkers.push(real);
}
let trace1 = {
x: timestamps,
y: desiredWorkers,
mode: 'lines+markers',
name: 'Desired Workers',
line: {
color: 'blue'
}
};
let trace2 = {
x: timestamps,
y: realWorkers,
mode: 'lines+markers',
name: 'Real Workers',
line: {
color: 'red'
}
};
let layout = {
title: "Worker Usage Over Time",
xaxis: {
title: get_axis_title_data("Time", "date")
},
yaxis: {
title: get_axis_title_data("Number of Workers")
},
legend: {
x: 0,
y: 1
}
};
Plotly.newPlot('workerUsagePlot', [trace1, trace2], add_default_layout_data(layout));
$("#workerUsagePlot").data("loaded", "true");
}
function plotCPUAndRAMUsage() {
if($("#mainWorkerCPURAM").data("loaded") == "true") {
return;
}
var timestamps = tab_main_worker_cpu_ram_csv_json.map(row => new Date(row[0] * 1000));
var ramUsage = tab_main_worker_cpu_ram_csv_json.map(row => row[1]);
var cpuUsage = tab_main_worker_cpu_ram_csv_json.map(row => row[2]);
var trace1 = {
x: timestamps,
y: cpuUsage,
mode: 'lines+markers',
marker: {
size: get_marker_size(),
},
name: 'CPU Usage (%)',
type: 'scatter',
yaxis: 'y1'
};
var trace2 = {
x: timestamps,
y: ramUsage,
mode: 'lines+markers',
marker: {
size: get_marker_size(),
},
name: 'RAM Usage (MB)',
type: 'scatter',
yaxis: 'y2'
};
var layout = {
title: 'CPU and RAM Usage Over Time',
xaxis: {
title: get_axis_title_data("Timestamp", "date"),
tickmode: 'array',
tickvals: timestamps.filter((_, index) => index % Math.max(Math.floor(timestamps.length / 10), 1) === 0),
ticktext: timestamps.filter((_, index) => index % Math.max(Math.floor(timestamps.length / 10), 1) === 0).map(t => t.toLocaleString()),
tickangle: -45
},
yaxis: {
title: get_axis_title_data("CPU Usage (%)"),
rangemode: 'tozero'
},
yaxis2: {
title: get_axis_title_data("RAM Usage (MB)"),
overlaying: 'y',
side: 'right',
rangemode: 'tozero'
},
legend: {
x: 0.1,
y: 0.9
}
};
var data = [trace1, trace2];
Plotly.newPlot('mainWorkerCPURAM', data, add_default_layout_data(layout));
$("#mainWorkerCPURAM").data("loaded", "true");
}
function plotScatter2d() {
if ($("#plotScatter2d").data("loaded") == "true") {
return;
}
var plotDiv = document.getElementById("plotScatter2d");
var minInput = document.getElementById("minValue");
var maxInput = document.getElementById("maxValue");
if (!minInput || !maxInput) {
minInput = document.createElement("input");
minInput.id = "minValue";
minInput.type = "number";
minInput.placeholder = "Min Value";
minInput.step = "any";
maxInput = document.createElement("input");
maxInput.id = "maxValue";
maxInput.type = "number";
maxInput.placeholder = "Max Value";
maxInput.step = "any";
var inputContainer = document.createElement("div");
inputContainer.style.marginBottom = "10px";
inputContainer.appendChild(minInput);
inputContainer.appendChild(maxInput);
plotDiv.appendChild(inputContainer);
}
var resultSelect = document.getElementById("resultSelect");
if (result_names.length > 1 && !resultSelect) {
resultSelect = document.createElement("select");
resultSelect.id = "resultSelect";
resultSelect.style.marginBottom = "10px";
var sortedResults = [...result_names].sort();
sortedResults.forEach(result => {
var option = document.createElement("option");
option.value = result;
option.textContent = result;
resultSelect.appendChild(option);
});
var selectContainer = document.createElement("div");
selectContainer.style.marginBottom = "10px";
selectContainer.appendChild(resultSelect);
plotDiv.appendChild(selectContainer);
}
minInput.addEventListener("input", updatePlots);
maxInput.addEventListener("input", updatePlots);
if (resultSelect) {
resultSelect.addEventListener("change", updatePlots);
}
updatePlots();
async function updatePlots() {
var minValue = parseFloat(minInput.value);
var maxValue = parseFloat(maxInput.value);
if (isNaN(minValue)) minValue = -Infinity;
if (isNaN(maxValue)) maxValue = Infinity;
while (plotDiv.children.length > 2) {
plotDiv.removeChild(plotDiv.lastChild);
}
var selectedResult = resultSelect ? resultSelect.value : result_names[0];
var resultIndex = tab_results_headers_json.findIndex(header =>
header.toLowerCase() === selectedResult.toLowerCase()
);
var resultValues = tab_results_csv_json.map(row => row[resultIndex]);
var minResult = Math.min(...resultValues.filter(value => value !== null && value !== ""));
var maxResult = Math.max(...resultValues.filter(value => value !== null && value !== ""));
if (minValue !== -Infinity) minResult = Math.max(minResult, minValue);
if (maxValue !== Infinity) maxResult = Math.min(maxResult, maxValue);
var invertColor = result_min_max[result_names.indexOf(selectedResult)] === "max";
var numericColumns = tab_results_headers_json.filter(col =>
!special_col_names.includes(col) && !result_names.includes(col) &&
!col.startsWith("OO_Info") &&
tab_results_csv_json.every(row => !isNaN(parseFloat(row[tab_results_headers_json.indexOf(col)])))
);
if (numericColumns.length < 2) {
console.error("Not enough columns for Scatter-Plots");
return;
}
for (let i = 0; i < numericColumns.length; i++) {
for (let j = i + 1; j < numericColumns.length; j++) {
let xCol = numericColumns[i];
let yCol = numericColumns[j];
let xIndex = tab_results_headers_json.indexOf(xCol);
let yIndex = tab_results_headers_json.indexOf(yCol);
let data = tab_results_csv_json.map(row => ({
x: parseFloat(row[xIndex]),
y: parseFloat(row[yIndex]),
result: row[resultIndex] !== "" ? parseFloat(row[resultIndex]) : null
}));
data = data.filter(d => d.result >= minResult && d.result <= maxResult);
let layoutTitle = `${xCol} (x) vs ${yCol} (y), result: ${selectedResult}`;
let layout = {
title: layoutTitle,
xaxis: {
title: get_axis_title_data(xCol)
},
yaxis: {
title: get_axis_title_data(yCol)
},
showlegend: false
};
let subDiv = document.createElement("div");
let spinnerContainer = document.createElement("div");
spinnerContainer.style.display = "flex";
spinnerContainer.style.alignItems = "center";
spinnerContainer.style.justifyContent = "center";
spinnerContainer.style.width = layout.width + "px";
spinnerContainer.style.height = layout.height + "px";
spinnerContainer.style.position = "relative";
let spinner = document.createElement("div");
spinner.className = "spinner";
spinner.style.width = "40px";
spinner.style.height = "40px";
let loadingText = document.createElement("span");
loadingText.innerText = `Loading ${layoutTitle}`;
loadingText.style.marginLeft = "10px";
spinnerContainer.appendChild(spinner);
spinnerContainer.appendChild(loadingText);
plotDiv.appendChild(spinnerContainer);
await new Promise(resolve => setTimeout(resolve, 50));
let colors = data.map(d => {
if (d.result === null) {
return 'rgb(0, 0, 0)';
} else {
let norm = (d.result - minResult) / (maxResult - minResult);
if (invertColor) {
norm = 1 - norm;
}
return `rgb(${Math.round(255 * norm)}, ${Math.round(255 * (1 - norm))}, 0)`;
}
});
let trace = {
x: data.map(d => d.x),
y: data.map(d => d.y),
mode: 'markers',
marker: {
size: get_marker_size(),
color: data.map(d => d.result !== null ? d.result : null),
colorscale: invertColor ? [
[0, 'red'],
[1, 'green']
] : [
[0, 'green'],
[1, 'red']
],
colorbar: {
title: 'Result',
tickvals: [minResult, maxResult],
ticktext: [`${minResult}`, `${maxResult}`]
},
symbol: data.map(d => d.result === null ? 'x' : 'circle'),
},
text: data.map(d => d.result !== null ? `Result: ${d.result}` : 'No result'),
type: 'scatter',
showlegend: false
};
try {
plotDiv.replaceChild(subDiv, spinnerContainer);
} catch (err) {
//
}
Plotly.newPlot(subDiv, [trace], add_default_layout_data(layout));
}
}
}
$("#plotScatter2d").data("loaded", "true");
}
function plotScatter3d() {
if ($("#plotScatter3d").data("loaded") == "true") {
return;
}
var plotDiv = document.getElementById("plotScatter3d");
if (!plotDiv) {
console.error("Div element with id 'plotScatter3d' not found");
return;
}
plotDiv.innerHTML = "";
var minInput3d = document.getElementById("minValue3d");
var maxInput3d = document.getElementById("maxValue3d");
if (!minInput3d || !maxInput3d) {
minInput3d = document.createElement("input");
minInput3d.id = "minValue3d";
minInput3d.type = "number";
minInput3d.placeholder = "Min Value";
minInput3d.step = "any";
maxInput3d = document.createElement("input");
maxInput3d.id = "maxValue3d";
maxInput3d.type = "number";
maxInput3d.placeholder = "Max Value";
maxInput3d.step = "any";
var inputContainer3d = document.createElement("div");
inputContainer3d.style.marginBottom = "10px";
inputContainer3d.appendChild(minInput3d);
inputContainer3d.appendChild(maxInput3d);
plotDiv.appendChild(inputContainer3d);
}
var select3d = document.getElementById("select3dScatter");
if (result_names.length > 1 && !select3d) {
if (!select3d) {
select3d = document.createElement("select");
select3d.id = "select3dScatter";
select3d.style.marginBottom = "10px";
select3d.innerHTML = result_names.map(name => `<option value="${name}">${name}</option>`).join("");
select3d.addEventListener("change", updatePlots3d);
plotDiv.appendChild(select3d);
}
}
minInput3d.addEventListener("input", updatePlots3d);
maxInput3d.addEventListener("input", updatePlots3d);
updatePlots3d();
async function updatePlots3d() {
var selectedResult = select3d ? select3d.value : result_names[0];
var minValue3d = parseFloat(minInput3d.value);
var maxValue3d = parseFloat(maxInput3d.value);
if (isNaN(minValue3d)) minValue3d = -Infinity;
if (isNaN(maxValue3d)) maxValue3d = Infinity;
while (plotDiv.children.length > 2) {
plotDiv.removeChild(plotDiv.lastChild);
}
var resultIndex = tab_results_headers_json.findIndex(header =>
header.toLowerCase() === selectedResult.toLowerCase()
);
var resultValues = tab_results_csv_json.map(row => row[resultIndex]);
var minResult = Math.min(...resultValues.filter(value => value !== null && value !== ""));
var maxResult = Math.max(...resultValues.filter(value => value !== null && value !== ""));
if (minValue3d !== -Infinity) minResult = Math.max(minResult, minValue3d);
if (maxValue3d !== Infinity) maxResult = Math.min(maxResult, maxValue3d);
var invertColor = result_min_max[result_names.indexOf(selectedResult)] === "max";
var numericColumns = tab_results_headers_json.filter(col =>
!special_col_names.includes(col) && !result_names.includes(col) &&
!col.startsWith("OO_Info") &&
tab_results_csv_json.every(row => !isNaN(parseFloat(row[tab_results_headers_json.indexOf(col)])))
);
if (numericColumns.length < 3) {
console.error("Not enough columns for 3D scatter plots");
return;
}
for (let i = 0; i < numericColumns.length; i++) {
for (let j = i + 1; j < numericColumns.length; j++) {
for (let k = j + 1; k < numericColumns.length; k++) {
let xCol = numericColumns[i];
let yCol = numericColumns[j];
let zCol = numericColumns[k];
let xIndex = tab_results_headers_json.indexOf(xCol);
let yIndex = tab_results_headers_json.indexOf(yCol);
let zIndex = tab_results_headers_json.indexOf(zCol);
let data = tab_results_csv_json.map(row => ({
x: parseFloat(row[xIndex]),
y: parseFloat(row[yIndex]),
z: parseFloat(row[zIndex]),
result: row[resultIndex] !== "" ? parseFloat(row[resultIndex]) : null
}));
data = data.filter(d => d.result >= minResult && d.result <= maxResult);
let layoutTitle = `${xCol} (x) vs ${yCol} (y) vs ${zCol} (z), result: ${selectedResult}`;
let layout = {
title: layoutTitle,
scene: {
xaxis: {
title: get_axis_title_data(xCol)
},
yaxis: {
title: get_axis_title_data(yCol)
},
zaxis: {
title: get_axis_title_data(zCol)
}
},
showlegend: false
};
let spinnerContainer = document.createElement("div");
spinnerContainer.style.display = "flex";
spinnerContainer.style.alignItems = "center";
spinnerContainer.style.justifyContent = "center";
spinnerContainer.style.width = layout.width + "px";
spinnerContainer.style.height = layout.height + "px";
spinnerContainer.style.position = "relative";
let spinner = document.createElement("div");
spinner.className = "spinner";
spinner.style.width = "40px";
spinner.style.height = "40px";
let loadingText = document.createElement("span");
loadingText.innerText = `Loading ${layoutTitle}`;
loadingText.style.marginLeft = "10px";
spinnerContainer.appendChild(spinner);
spinnerContainer.appendChild(loadingText);
plotDiv.appendChild(spinnerContainer);
await new Promise(resolve => setTimeout(resolve, 50));
let colors = data.map(d => {
if (d.result === null) {
return 'rgb(0, 0, 0)';
} else {
let norm = (d.result - minResult) / (maxResult - minResult);
if (invertColor) {
norm = 1 - norm;
}
return `rgb(${Math.round(255 * norm)}, ${Math.round(255 * (1 - norm))}, 0)`;
}
});
let trace = {
x: data.map(d => d.x),
y: data.map(d => d.y),
z: data.map(d => d.z),
mode: 'markers',
marker: {
size: get_marker_size(),
color: data.map(d => d.result !== null ? d.result : null),
colorscale: invertColor ? [
[0, 'red'],
[1, 'green']
] : [
[0, 'green'],
[1, 'red']
],
colorbar: {
title: 'Result',
tickvals: [minResult, maxResult],
ticktext: [`${minResult}`, `${maxResult}`]
},
},
text: data.map(d => d.result !== null ? `Result: ${d.result}` : 'No result'),
type: 'scatter3d',
showlegend: false
};
let subDiv = document.createElement("div");
try {
plotDiv.replaceChild(subDiv, spinnerContainer);
} catch (err) {
//
}
Plotly.newPlot(subDiv, [trace], add_default_layout_data(layout));
}
}
}
}
$("#plotScatter3d").data("loaded", "true");
}
async function plot_worker_cpu_ram() {
if($("#worker_cpu_ram_pre").data("loaded") == "true") {
return;
}
const logData = $("#worker_cpu_ram_pre").text();
const regex = /^Unix-Timestamp: (\d+), Hostname: ([\w-]+), CPU: ([\d.]+)%, RAM: ([\d.]+) MB \/ ([\d.]+) MB$/;
const hostData = {};
logData.split("\n").forEach(line => {
line = line.trim();
const match = line.match(regex);
if (match) {
const timestamp = new Date(parseInt(match[1]) * 1000);
const hostname = match[2];
const cpu = parseFloat(match[3]);
const ram = parseFloat(match[4]);
if (!hostData[hostname]) {
hostData[hostname] = { timestamps: [], cpuUsage: [], ramUsage: [] };
}
hostData[hostname].timestamps.push(timestamp);
hostData[hostname].cpuUsage.push(cpu);
hostData[hostname].ramUsage.push(ram);
}
});
if (!Object.keys(hostData).length) {
console.log("No valid data found");
return;
}
const container = document.getElementById("cpuRamWorkerChartContainer");
container.innerHTML = "";
var i = 1;
Object.entries(hostData).forEach(([hostname, { timestamps, cpuUsage, ramUsage }], index) => {
const chartId = `workerChart_${index}`;
const chartDiv = document.createElement("div");
chartDiv.id = chartId;
chartDiv.style.marginBottom = "40px";
container.appendChild(chartDiv);
const cpuTrace = {
x: timestamps,
y: cpuUsage,
mode: "lines+markers",
name: "CPU Usage (%)",
yaxis: "y1",
line: {
color: "red"
}
};
const ramTrace = {
x: timestamps,
y: ramUsage,
mode: "lines+markers",
name: "RAM Usage (MB)",
yaxis: "y2",
line: {
color: "blue"
}
};
const layout = {
title: `Worker CPU and RAM Usage - ${hostname}`,
xaxis: {
title: get_axis_title_data("Timestamp", "date")
},
yaxis: {
title: get_axis_title_data("CPU Usage (%)"),
side: "left",
color: "red"
},
yaxis2: {
title: get_axis_title_data("RAM Usage (MB)"),
side: "right",
overlaying: "y",
color: "blue"
},
showlegend: true
};
Plotly.newPlot(chartId, [cpuTrace, ramTrace], add_default_layout_data(layout));
i++;
});
$("#plot_worker_cpu_ram_button").remove();
$("#worker_cpu_ram_pre").data("loaded", "true");
}
function load_log_file(log_nr, filename) {
var pre_id = `single_run_${log_nr}_pre`;
if (!$("#" + pre_id).data("loaded")) {
const params = new URLSearchParams(window.location.search);
const user_id = params.get('user_id');
const experiment_name = params.get('experiment_name');
const run_nr = params.get('run_nr');
var url = `get_log?user_id=${user_id}&experiment_name=${experiment_name}&run_nr=${run_nr}&filename=${filename}`;
fetch(url)
.then(response => response.json())
.then(data => {
if (data.data) {
$("#" + pre_id).html(data.data);
$("#" + pre_id).data("loaded", true);
} else {
log(`No 'data' key found in response.`);
}
$("#spinner_log_" + log_nr).remove();
})
.catch(error => {
log(`Error loading log: ${error}`);
$("#spinner_log_" + log_nr).remove();
});
}
}
function load_debug_log () {
var pre_id = `here_debuglogs_go`;
if (!$("#" + pre_id).data("loaded")) {
const params = new URLSearchParams(window.location.search);
const user_id = params.get('user_id');
const experiment_name = params.get('experiment_name');
const run_nr = params.get('run_nr');
var url = `get_debug_log?user_id=${user_id}&experiment_name=${experiment_name}&run_nr=${run_nr}`;
fetch(url)
.then(response => response.json())
.then(data => {
$("#debug_log_spinner").remove();
if (data.data) {
try {
$("#" + pre_id).html(data.data);
} catch (err) {
$("#" + pre_id).text(`Error loading data: ${err}`);
}
$("#" + pre_id).data("loaded", true);
if (typeof apply_theme_based_on_system_preferences === 'function') {
apply_theme_based_on_system_preferences();
}
} else {
log(`No 'data' key found in response.`);
}
})
.catch(error => {
log(`Error loading log: ${error}`);
$("#debug_log_spinner").remove();
});
}
}
function plotBoxplot() {
if ($("#plotBoxplot").data("loaded") == "true") {
return;
}
var numericColumns = tab_results_headers_json.filter(col =>
!special_col_names.includes(col) && !result_names.includes(col) &&
!col.startsWith("OO_Info") &&
tab_results_csv_json.every(row => !isNaN(parseFloat(row[tab_results_headers_json.indexOf(col)])))
);
if (numericColumns.length < 1) {
console.error("Not enough numeric columns for Boxplot");
return;
}
var resultIndex = tab_results_headers_json.findIndex(function(header) {
return result_names.includes(header.toLowerCase());
});
var resultValues = tab_results_csv_json.map(row => row[resultIndex]);
var minResult = Math.min(...resultValues.filter(value => value !== null && value !== ""));
var maxResult = Math.max(...resultValues.filter(value => value !== null && value !== ""));
var plotDiv = document.getElementById("plotBoxplot");
plotDiv.innerHTML = "";
let traces = numericColumns.map(col => {
let index = tab_results_headers_json.indexOf(col);
let data = tab_results_csv_json.map(row => parseFloat(row[index]));
return {
y: data,
type: 'box',
name: col,
boxmean: 'sd',
marker: {
color: 'rgb(0, 255, 0)'
},
};
});
let layout = {
title: 'Boxplot of Numerical Columns',
xaxis: {
title: get_axis_title_data("Columns")
},
yaxis: {
title: get_axis_title_data("Value")
},
showlegend: false
};
Plotly.newPlot(plotDiv, traces, add_default_layout_data(layout));
$("#plotBoxplot").data("loaded", "true");
}
function plotHeatmap() {
if ($("#plotHeatmap").data("loaded") === "true") {
return;
}
var numericColumns = tab_results_headers_json.filter(col => {
if (special_col_names.includes(col) || result_names.includes(col)) {
return false;
}
if (!col.startsWith("OO_Info")) {
return true;
}
let index = tab_results_headers_json.indexOf(col);
return tab_results_csv_json.every(row => {
let value = parseFloat(row[index]);
return !isNaN(value) && isFinite(value);
});
});
if (numericColumns.length < 2) {
console.error("Not enough valid numeric columns for Heatmap");
return;
}
var columnData = numericColumns.map(col => {
let index = tab_results_headers_json.indexOf(col);
return tab_results_csv_json.map(row => parseFloat(row[index]));
});
var dataMatrix = numericColumns.map((_, i) =>
numericColumns.map((_, j) => {
let values = columnData[i].map((val, index) => (val + columnData[j][index]) / 2);
return values.reduce((a, b) => a + b, 0) / values.length;
})
);
var trace = {
z: dataMatrix,
x: numericColumns,
y: numericColumns,
colorscale: 'Viridis',
type: 'heatmap'
};
var layout = {
xaxis: {
title: get_axis_title_data("Columns")
},
yaxis: {
title: get_axis_title_data("Columns")
},
showlegend: false
};
var plotDiv = document.getElementById("plotHeatmap");
plotDiv.innerHTML = "";
Plotly.newPlot(plotDiv, [trace], add_default_layout_data(layout));
$("#plotHeatmap").data("loaded", "true");
}
function plotHistogram() {
if ($("#plotHistogram").data("loaded") == "true") {
return;
}
var numericColumns = tab_results_headers_json.filter(col =>
!special_col_names.includes(col) && !result_names.includes(col) &&
!col.startsWith("OO_Info") &&
tab_results_csv_json.every(row => !isNaN(parseFloat(row[tab_results_headers_json.indexOf(col)])))
);
if (numericColumns.length < 1) {
console.error("Not enough columns for Histogram");
return;
}
var plotDiv = document.getElementById("plotHistogram");
plotDiv.innerHTML = "";
const colorPalette = ['#ff9999', '#66b3ff', '#99ff99', '#ffcc99', '#c2c2f0', '#ffb3e6'];
let traces = numericColumns.map((col, index) => {
let data = tab_results_csv_json.map(row => parseFloat(row[tab_results_headers_json.indexOf(col)]));
return {
x: data,
type: 'histogram',
name: col,
opacity: 0.7,
marker: {
color: colorPalette[index % colorPalette.length]
},
autobinx: true
};
});
let layout = {
title: 'Histogram of Numerical Columns',
xaxis: {
title: get_axis_title_data("Value")
},
yaxis: {
title: get_axis_title_data("Frequency")
},
showlegend: true,
barmode: 'overlay'
};
Plotly.newPlot(plotDiv, traces, add_default_layout_data(layout));
$("#plotHistogram").data("loaded", "true");
}
function plotViolin() {
if ($("#plotViolin").data("loaded") == "true") {
return;
}
var numericColumns = tab_results_headers_json.filter(col =>
!special_col_names.includes(col) && !result_names.includes(col) &&
!col.startsWith("OO_Info") &&
tab_results_csv_json.every(row => !isNaN(parseFloat(row[tab_results_headers_json.indexOf(col)])))
);
if (numericColumns.length < 1) {
console.error("Not enough columns for Violin Plot");
return;
}
var plotDiv = document.getElementById("plotViolin");
plotDiv.innerHTML = "";
let traces = numericColumns.map(col => {
let index = tab_results_headers_json.indexOf(col);
let data = tab_results_csv_json.map(row => parseFloat(row[index]));
return {
y: data,
type: 'violin',
name: col,
box: {
visible: true
},
line: {
color: 'rgb(0, 255, 0)'
},
marker: {
color: 'rgb(0, 255, 0)'
},
meanline: {
visible: true
},
};
});
let layout = {
title: 'Violin Plot of Numerical Columns',
yaxis: {
title: get_axis_title_data("Value")
},
xaxis: {
title: get_axis_title_data("Columns")
},
showlegend: false
};
Plotly.newPlot(plotDiv, traces, add_default_layout_data(layout));
$("#plotViolin").data("loaded", "true");
}
function plotExitCodesPieChart() {
if ($("#plotExitCodesPieChart").data("loaded") == "true") {
return;
}
var exitCodes = tab_results_csv_json.map(row => row[tab_results_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));
$("#plotJobStatusDistribution").data("loaded", "true");
}
function _colorize_table_entries_by_generation_method () {
document.querySelectorAll('[data-column-id="generation_node"]').forEach(el => {
let text = el.textContent.toLowerCase();
let color = text.includes("manual") ? "green" :
text.includes("sobol") ? "orange" :
text.includes("saasbo") ? "pink" :
text.includes("uniform") ? "lightblue" :
text.includes("legacy_gpei") ? "sienna" :
text.includes("bo_mixed") ? "aqua" :
text.includes("randomforest") ? "darkseagreen" :
text.includes("external_generator") ? "purple" :
text.includes("botorch") ? "yellow" : "";
if (color !== "") {
el.style.backgroundColor = color;
}
el.classList.add("invert_in_dark_mode");
});
}
function _colorize_table_entries_by_trial_status () {
document.querySelectorAll('[data-column-id="trial_status"]').forEach(el => {
let color = el.textContent.includes("COMPLETED") ? "lightgreen" :
el.textContent.includes("RUNNING") ? "orange" :
el.textContent.includes("FAILED") ? "red" :
el.textContent.includes("CANDIDATE") ? "lightblue" :
el.textContent.includes("ABANDONED") ? "yellow" : "";
if (color) el.style.backgroundColor = color;
el.classList.add("invert_in_dark_mode");
});
}
function _colorize_table_entries_by_queue_time() {
let cells = [...document.querySelectorAll('[data-column-id="queue_time"]')];
if (cells.length === 0) return;
let values = cells.map(el => parseFloat(el.textContent)).filter(v => !isNaN(v));
if (values.length === 0) return;
let min = Math.min(...values);
let max = Math.max(...values);
let range = max - min || 1;
cells.forEach(el => {
let value = parseFloat(el.textContent);
if (isNaN(value)) return;
let ratio = (value - min) / range;
let red = Math.round(255 * ratio);
let green = Math.round(255 * (1 - ratio));
el.style.backgroundColor = `rgb(${red}, ${green}, 0)`;
el.classList.add("invert_in_dark_mode");
});
}
function _colorize_table_entries_by_run_time() {
let cells = [...document.querySelectorAll('[data-column-id="run_time"]')];
if (cells.length === 0) return;
let values = cells.map(el => parseFloat(el.textContent)).filter(v => !isNaN(v));
if (values.length === 0) return;
let min = Math.min(...values);
let max = Math.max(...values);
let range = max - min || 1;
cells.forEach(el => {
let value = parseFloat(el.textContent);
if (isNaN(value)) return;
let ratio = (value - min) / range;
let red = Math.round(255 * ratio);
let green = Math.round(255 * (1 - ratio));
el.style.backgroundColor = `rgb(${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_queue_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();
if (typeof apply_theme_based_on_system_preferences === 'function') {
apply_theme_based_on_system_preferences();
}
}
function plotTimelineFromGlobals() {
if (
typeof tab_results_headers_json === "undefined" ||
typeof tab_results_csv_json === "undefined" ||
!Array.isArray(tab_results_headers_json) ||
!Array.isArray(tab_results_csv_json)
) {
console.warn("Global variables 'tab_results_headers_json' or 'tab_results_csv_json' missing or invalid.");
return null;
}
const headers = tab_results_headers_json;
const data = tab_results_csv_json;
const col = name => headers.indexOf(name);
const ix_trial_index = col("trial_index");
const ix_start_time = col("start_time");
const ix_end_time = col("end_time");
const ix_status = col("trial_status");
if ([ix_trial_index, ix_start_time, ix_end_time, ix_status].some(ix => ix === -1)) {
console.warn("One or more needed columns missing");
return null;
}
const traces = [];
// Add dummy traces for legend
traces.push({
type: "scatter",
mode: "lines",
x: [null, null],
y: [null, null],
line: { color: "green", width: 4 },
name: "COMPLETED",
showlegend: true,
hoverinfo: "none"
});
traces.push({
type: "scatter",
mode: "lines",
x: [null, null],
y: [null, null],
line: { color: "yellow", width: 4 },
name: "RUNNING",
showlegend: true,
hoverinfo: "none"
});
traces.push({
type: "scatter",
mode: "lines",
x: [null, null],
y: [null, null],
line: { color: "red", width: 4 },
name: "FAILED/OTHER",
showlegend: true,
hoverinfo: "none"
});
for (const row of data) {
const trial_index = row[ix_trial_index];
const start = row[ix_start_time];
const end = row[ix_end_time];
const status = row[ix_status];
if (
trial_index === "" || start === "" || end === "" ||
isNaN(start) || isNaN(end)
) continue;
let color = "red"; // default
if (status === "COMPLETED") color = "green";
else if (status === "RUNNING") color = "yellow";
traces.push({
type: "scatter",
mode: "lines",
x: [new Date(start * 1000), new Date(end * 1000)],
y: [trial_index, trial_index],
line: { color: color, width: 4 },
name: `Trial ${trial_index} (${status})`,
showlegend: false,
hoverinfo: "x+y+name"
});
}
if (traces.length <= 3) { // only dummy traces added
console.warn("No valid data for plotting found.");
return null;
}
const layout = {
title: "Trial Timeline",
xaxis: {
title: "Time",
type: "date"
},
yaxis: {
title: "Trial Index",
autorange: "reversed"
},
margin: { t: 50 }
};
Plotly.newPlot('plot_timeline', traces, add_default_layout_data(layout));
return true;
}
function createResultParameterCanvases(this_res_name) {
if (
typeof special_col_names === "undefined" ||
typeof result_names === "undefined" ||
typeof result_min_max === "undefined" ||
typeof tab_results_headers_json === "undefined" ||
typeof tab_results_csv_json === "undefined"
) {
console.error("Missing one or more required global variables.");
return null;
}
if (
!Array.isArray(special_col_names) ||
!Array.isArray(result_names) ||
!Array.isArray(result_min_max) ||
!Array.isArray(tab_results_headers_json) ||
!Array.isArray(tab_results_csv_json)
) {
console.error("All inputs must be arrays.");
return null;
}
function getColumnIndexMap(headers) {
var map = {};
for (var i = 0; i < headers.length; i++) {
map[headers[i]] = i;
}
return map;
}
function getColumnData(data, index) {
var result = [];
for (var i = 0; i < data.length; i++) {
result.push(data[i][index]);
}
return result;
}
function normalize(value, min, max) {
if (max === min) {
return 0.5;
}
return (value - min) / (max - min);
}
function interpolateColor(ratio, reverse) {
var r = reverse ? ratio : 1 - ratio;
var g = reverse ? 1 - ratio : ratio;
var b = 0;
r = Math.floor(r * 255);
g = Math.floor(g * 255);
return "rgb(" + r + "," + g + "," + b + ")";
}
function createCanvas(width, height) {
var canvas = document.createElement("canvas");
canvas.width = width;
canvas.height = height;
return canvas;
}
function isNumericArray(arr) {
for (var i = 0; i < arr.length; i++) {
var val = arr[i];
if (typeof val !== "number" || isNaN(val)) {
return false;
}
}
return true;
}
function findBestRowIndex() {
var bestIndex = 0;
for (var i = 1; i < tab_results_csv_json.length; i++) {
var better = false;
for (var r = 0; r < result_names.length; r++) {
var col = result_names[r];
var colIdx = header_map[col];
var goal = result_min_max[r]; // "min" or "max"
var valCurrent = tab_results_csv_json[i][colIdx];
var valBest = tab_results_csv_json[bestIndex][colIdx];
if (goal === "min" && valCurrent < valBest) {
better = true;
break;
}
if (goal === "max" && valCurrent > valBest) {
better = true;
break;
}
}
if (better) {
bestIndex = i;
}
}
return bestIndex;
}
var canvas_width = 1000;
var canvas_height = 100;
var header_map = getColumnIndexMap(tab_results_headers_json);
var parameter_columns = tab_results_headers_json.filter(function (name) {
return (
!special_col_names.includes(name) &&
!result_names.includes(name) &&
!name.startsWith("OO_Info_")
);
});
var container = document.createElement("div");
for (var r = 0; r < result_names.length; r++) {
var result_name = result_names[r];
if (this_res_name == result_name) {
var result_index = header_map[result_name];
var result_goal = result_min_max[r]; // "min" or "max"
var result_values = getColumnData(tab_results_csv_json, result_index);
var result_min = Math.min.apply(null, result_values);
var result_max = Math.max.apply(null, result_values);
var heading = document.createElement("h2");
heading.textContent = "Interpretation for result: " + result_name + " (goal: " + result_goal + ")";
heading.style.fontFamily = "sans-serif";
heading.style.marginTop = "24px";
heading.style.marginBottom = "12px";
container.appendChild(heading);
var table = document.createElement("table");
table.style.borderCollapse = "collapse";
table.style.marginBottom = "32px";
var thead = document.createElement("thead");
var headRow = document.createElement("tr");
var th1 = document.createElement("th");
th1.textContent = "Parameter";
th1.style.textAlign = "left";
th1.style.padding = "6px 12px";
var th2 = document.createElement("th");
th2.textContent = "Distribution of result";
th2.style.textAlign = "left";
th2.style.padding = "6px 12px";
headRow.appendChild(th1);
headRow.appendChild(th2);
thead.appendChild(headRow);
table.appendChild(thead);
var tbody = document.createElement("tbody");
for (var p = 0; p < parameter_columns.length; p++) {
var param_name = parameter_columns[p];
var param_index = header_map[param_name];
var param_values = getColumnData(tab_results_csv_json, param_index);
if (!isNumericArray(param_values)) {
continue;
}
var param_min = Math.min.apply(null, param_values);
var param_max = Math.max.apply(null, param_values);
var canvas = createCanvas(canvas_width, canvas_height);
canvas.classList.add("invert_in_dark_mode");
var ctx = canvas.getContext("2d");
ctx.fillStyle = "white";
ctx.fillRect(0, 0, canvas.width, canvas.height);
var x_groups = {};
for (var i = 0; i < tab_results_csv_json.length; i++) {
var raw_param = tab_results_csv_json[i][param_index];
var raw_result = tab_results_csv_json[i][result_index];
var x_ratio = normalize(raw_param, param_min, param_max);
var x = Math.floor(x_ratio * (canvas_width - 1));
if (!x_groups[x]) {
x_groups[x] = [];
}
x_groups[x].push(raw_result);
}
for (var x in x_groups) {
var values = x_groups[x];
values.sort(function (a, b) {
return a - b;
});
var stripe_height = canvas_height / values.length;
for (var i = 0; i < values.length; i++) {
var y_start = i * stripe_height;
var y_end = (i + 1) * stripe_height;
var value = values[i];
var result_ratio = normalize(value, result_min, result_max);
var color = interpolateColor(result_ratio, result_goal === "min");
ctx.beginPath();
ctx.strokeStyle = color;
ctx.lineWidth = 1;
ctx.moveTo(Number(x) + 0.5, y_start);
ctx.lineTo(Number(x) + 0.5, y_end);
ctx.stroke();
}
}
var row = document.createElement("tr");
var cell_param = document.createElement("td");
cell_param.textContent = param_name;
cell_param.style.padding = "4px 12px";
cell_param.style.verticalAlign = "top";
cell_param.style.fontFamily = "monospace";
cell_param.style.whiteSpace = "nowrap";
var cell_canvas = document.createElement("td");
cell_canvas.appendChild(canvas);
cell_canvas.style.padding = "4px 12px";
row.appendChild(cell_param);
row.appendChild(cell_canvas);
tbody.appendChild(row);
}
table.appendChild(tbody);
container.appendChild(table);
}
}
// === Summary: Best result ===
var bestIndex = findBestRowIndex();
var bestRow = tab_results_csv_json[bestIndex];
var ul = document.createElement("ul");
ul.style.margin = "0";
ul.style.paddingLeft = "24px";
// Alle Result-Spalten
for (var i = 0; i < result_names.length; i++) {
var name = result_names[i];
var val = bestRow[header_map[name]];
var li = document.createElement("li");
li.textContent = name + " = " + val;
ul.appendChild(li);
}
// Alle Parameter-Spalten (außer special_col_names)
for (var i = 0; i < tab_results_headers_json.length; i++) {
var name = tab_results_headers_json[i];
if (special_col_names.includes(name) || name.startsWith("OO_Info_") || result_names.includes(name)) {
continue;
}
var val = bestRow[header_map[name]];
var li = document.createElement("li");
li.textContent = name + " = " + val;
ul.appendChild(li);
}
return container;
}
function initializeResultParameterVisualizations() {
try {
var elements = $('.result_parameter_visualization');
if (!elements || elements.length === 0) {
console.warn('No .result_parameter_visualization elements found.');
return;
}
elements.each(function () {
var element = $(this);
if (element.data('initialized')) {
return; // Already initialized, skip
}
var resname = element.attr('data-resname');
if (!resname) {
console.error('Missing data-resname attribute for element:', this);
return;
}
try {
var html = createResultParameterCanvases(resname);
element.html(html);
element.data('initialized', true);
} catch (err) {
console.error('Error while calling createResultParameterCanvases for resname:', resname, err);
}
});
} catch (outerErr) {
console.error('Failed to initialize result parameter visualizations:', outerErr);
}
}
function plotParameterDistributionsByStatus() {
const container = document.getElementById('parameter_by_status_distribution');
if (!container) {
console.error("Kein Container mit id 'parameter_by_status_distribution' gefunden.");
return null;
}
if ($(container).data("loaded") === "true") {
return;
}
if (
typeof special_col_names === "undefined" ||
typeof result_names === "undefined" ||
typeof result_min_max === "undefined" ||
typeof tab_results_headers_json === "undefined" ||
typeof tab_results_csv_json === "undefined"
) {
console.error("Missing one or more required global variables.");
return null;
}
if (
!Array.isArray(special_col_names) ||
!Array.isArray(result_names) ||
!Array.isArray(result_min_max) ||
!Array.isArray(tab_results_headers_json) ||
!Array.isArray(tab_results_csv_json)
) {
console.error("All inputs must be arrays.");
return null;
}
container.innerHTML = "";
const statusIndex = tab_results_headers_json.indexOf("trial_status");
if (statusIndex < 0) {
container.textContent = "Kein 'trial_status' in den Daten gefunden.";
return null;
}
const trialStatuses = [...new Set(tab_results_csv_json.map(row => row[statusIndex]))].filter(s => s != null);
const paramCols = tab_results_headers_json.filter(col =>
!special_col_names.includes(col) &&
!result_names.includes(col)
);
for (const param of paramCols) {
const paramIndex = tab_results_headers_json.indexOf(param);
if (paramIndex < 0) continue;
const traces = [];
trialStatuses.forEach((status) => {
const filteredValues = tab_results_csv_json
.filter(row => row[statusIndex] === status)
.map(row => row[paramIndex])
.filter(val => val !== "" && val != null && !isNaN(val))
.map(Number);
if (filteredValues.length > 1) {
// Histogramm-Bins automatisch mit Plotly bestimmen lassen oder eigene
// Hier: bins in 20 Stück
const nbins = 20;
traces.push({
type: 'histogram',
x: filteredValues,
name: status,
opacity: 0.6,
xbingroup: 0,
marker: {color: getColorForStatus(status)},
nbinsx: nbins,
// für Overlay-Stil:
// histfunc: 'count', // default
// autobinx: false,
// xbins: {start: Math.min(...filteredValues), end: Math.max(...filteredValues), size: (Math.max(...filteredValues) - Math.min(...filteredValues)) / nbins}
});
}
});
if (traces.length > 0) {
const h2 = document.createElement('h2');
if(!param.startsWith("OO_Info_")) {
h2.textContent = `Histogram: ${param}`;
container.appendChild(h2);
const plotDiv = document.createElement('div');
plotDiv.style.marginBottom = '30px';
container.appendChild(plotDiv);
Plotly.newPlot(plotDiv, traces, {
barmode: 'overlay', // 'stack' oder 'overlay'
xaxis: {
title: { text: String(param) }, // Sicherstellen, dass es ein Textobjekt ist
automargin: true,
tickangle: -45, // Optional: bessere Lesbarkeit
titlefont: { size: 16 } // Optional: größerer Titel
},
yaxis: {
title: { text: 'Count' }, // Titel explizit als Objekt angeben
automargin: true,
titlefont: { size: 16 } // Optional: größerer Titel
},
margin: {
l: 60,
r: 30,
t: 30,
b: 80 // genug Platz für x-Achsentitel
},
legend: {
orientation: "h"
}
}, {
responsive: true
});
}
}
}
$(container).data("loaded", "true");
// Color mapping (falls nicht global)
function getColorForStatus(status) {
const baseAlpha = 0.5;
switch(status.toUpperCase()) {
case 'FAILED': return `rgba(214, 39, 40, ${baseAlpha})`;
case 'COMPLETED': return `rgba(44, 160, 44, ${baseAlpha})`;
case 'ABANDONED': return `rgba(255, 215, 0, ${baseAlpha})`;
case 'RUNNING': return `rgba(50, 50, 44, ${baseAlpha})`;
default:
const otherColors = [
`rgba(31, 119, 180, ${baseAlpha})`,
`rgba(255, 127, 14, ${baseAlpha})`,
`rgba(148, 103, 189, ${baseAlpha})`,
`rgba(140, 86, 75, ${baseAlpha})`,
`rgba(227, 119, 194, ${baseAlpha})`,
`rgba(127, 127, 127, ${baseAlpha})`,
`rgba(188, 189, 34, ${baseAlpha})`,
`rgba(23, 190, 207, ${baseAlpha})`
];
let hash = 0;
for (let i = 0; i < status.length; i++) {
hash = status.charCodeAt(i) + ((hash << 5) - hash);
}
const index = Math.abs(hash) % otherColors.length;
return otherColors[index];
}
}
resizePlotlyCharts();
}
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);
if (typeof apply_theme_based_on_system_preferences === 'function') {
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();;
plotWorkerUsage();;
plotCPUAndRAMUsage();;
plotParameterDistributionsByStatus();;
initializeResultParameterVisualizations();
createParallelPlot(tab_results_csv_json, tab_results_headers_json, result_names, special_col_names);;
plotScatter2d();;
plotScatter3d();
plotJobStatusDistribution();;
plotBoxplot();;
plotViolin();;
plotHistogram();;
plotHeatmap();;
plotResultPairs();;
plotResultEvolution();
colorize_table_entries();
});
</script>
<h1><img class='invert_icon' src='i/overview.svg' style='height: 1em' /> Overview</h1>
<h2>Experiment overview: </h2><table cellspacing="0" cellpadding="5"><thead><tr><th> Setting</th><th>Value </th></tr></thead><tbody><tr><td> Max. nr. evaluations</td><td>50080 </td></tr><tr><td> Max. nr. evaluations (from arguments)</td><td>50000 </td></tr><tr><td> Number random steps</td><td>20 </td></tr><tr><td> Nr. of workers (parameter)</td><td>50 </td></tr><tr><td> Main process memory (GB)</td><td>8 </td></tr><tr><td> Worker memory (GB)</td><td>32 </td></tr><tr><td> Nr. imported jobs</td><td>80 </td></tr></tbody></table><h2>Job Summary per Generation Node</h2>
<table border='1' cellpadding='5' cellspacing='0'>
<thead><tr><th>Generation Node</th><th>Total</th><th>COMPLETED</th><th>FAILED</th><th>RUNNING</th></tr></thead>
<tbody>
<tr><td>SOBOL</td><td>30</td><td>29</td><td>1</td><td>0</td></tr>
<tr><td>BOTORCH_MODULAR</td><td>1230</td><td>165</td><td>1049</td><td>16</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><th>Log Scale? </th></tr></thead><tbody><tr><td> recent_samples_size</td><td>int</td><td>1</td><td>5000</td><td></td><td>int</td><td>No </td></tr><tr><td> n_samples</td><td>int</td><td>1</td><td>5000</td><td></td><td>int</td><td>No </td></tr><tr><td> confidence</td><td>choice</td><td></td><td></td><td>0.25, 0.1, 0.05, 0.025, 0.01, 0.005, 0.001</td><td></td><td></td></tr><tr><td> feature_proportion</td><td>float</td><td>0.001</td><td>0.999</td><td></td><td>float</td><td>No </td></tr><tr><td> n_clusters</td><td>int</td><td>1</td><td>50</td><td></td><td>int</td><td>No </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>1050</td>
<td>194</td>
<td>16</td>
<td>1260</td>
</tr>
</tbody>
</table>
<h2>Result names and types</h2>
<table>
<tr><th>name</th><th>min/max</th></tr>
<tr>
<td>ACCURACY</td>
<td>max</td>
</tr>
<tr>
<td>RUNTIME</td>
<td>min</td>
</tr>
</table>
<br>
<h2>Git-Version</h2>
<tt>Commit: 2223ae6553abdd3e288f4b391080b763a7a48477
</tt>
<h1><img class='invert_icon' src='i/csv.svg' style='height: 1em' /> 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")'><img src='i/clipboard.svg' style='height: 1em'> Copy raw data to clipboard</button>
<button onclick='download_as_file("tab_results_csv_table_pre", "results.csv")'><img src='i/download.svg' style='height: 1em'> Download »results.csv« as file</button>
<pre id='tab_results_csv_table_pre'>trial_index,arm_name,trial_status,generation_method,generation_node,ACCURACY,RUNTIME,recent_samples_size,n_samples,feature_proportion,n_clusters,confidence
0,0_0,COMPLETED,Sobol,SOBOL,0.160000000000000003330669073875,840,1083,2611,0.070542474478483205291290403238,11,0.050000000000000002775557561563
1,1_0,COMPLETED,Sobol,SOBOL,0.19000000000000000222044604925,824,3129,1989,0.680266904624179047367249495437,26,0.25
2,2_0,COMPLETED,Sobol,SOBOL,0.149999999999999994448884876874,775,4730,4890,0.889683827124536086294881442882,50,0.001000000000000000020816681712
3,3_0,COMPLETED,Sobol,SOBOL,0.410000000000000031086244689504,1734,1982,511,0.36011981999874115301096821895,15,0.010000000000000000208166817117
4,4_0,COMPLETED,Sobol,SOBOL,0.140000000000000013322676295502,808,1436,3869,0.5307110514044761639951275356,43,0.25
5,5_0,COMPLETED,Sobol,SOBOL,0.359999999999999986677323704498,1194,4353,750,0.219490960024297243613489172276,22,0.010000000000000000208166817117
6,6_0,COMPLETED,Sobol,SOBOL,0.110000000000000000555111512313,900,2750,3631,0.46009254023618995077526960813,4,0.025000000000000001387778780781
7,7_0,COMPLETED,Sobol,SOBOL,0.149999999999999994448884876874,776,540,1750,0.789099973971024160057652352407,33,0.100000000000000005551115123126
8,8_0,COMPLETED,Sobol,SOBOL,0.040000000000000000832667268469,1041,160,4393,0.287202520200982691633839749557,35,0.001000000000000000020816681712
9,9_0,FAILED,Sobol,SOBOL,,,3115,11,0.961982364999130368232727050781,2,0.010000000000000000208166817117
10,10_0,COMPLETED,Sobol,SOBOL,0.200000000000000011102230246252,794,4013,3107,0.731134507544338729800870169129,24,0.100000000000000005551115123126
11,11_0,COMPLETED,Sobol,SOBOL,0.209999999999999992228438827624,820,1763,2489,0.019075132891535759999124266528,41,0.010000000000000000208166817117
12,12_0,COMPLETED,Sobol,SOBOL,0.070000000000000006661338147751,953,2320,3190,0.871755753383040454806973684754,19,0.005000000000000000104083408559
13,13_0,COMPLETED,Sobol,SOBOL,0.300000000000000044408920985006,929,4407,1312,0.378040294475853466682480075178,46,0.100000000000000005551115123126
14,14_0,COMPLETED,Sobol,SOBOL,0.140000000000000013322676295502,1177,3507,4310,0.178377064989879735579236808007,30,0.001000000000000000020816681712
15,15_0,COMPLETED,Sobol,SOBOL,0.230000000000000009992007221626,813,721,1188,0.572439912447705867570846294257,7,0.25
16,16_0,COMPLETED,Sobol,SOBOL,0.110000000000000000555111512313,780,914,4113,0.197274885172024377899546720982,10,0.025000000000000001387778780781
17,17_0,COMPLETED,Sobol,SOBOL,0.30999999999999999777955395075,920,3625,995,0.553418377431109553832300207432,31,0.001000000000000000020816681712
18,18_0,COMPLETED,Sobol,SOBOL,0.200000000000000011102230246252,787,4601,3387,0.751373884163796912361021895777,45,0.005000000000000000104083408559
19,19_0,COMPLETED,Sobol,SOBOL,0.140000000000000013322676295502,812,2438,1506,0.498294612050056484608973050854,16,0.050000000000000002775557561563
20,20_0,COMPLETED,Sobol,SOBOL,0.179999999999999993338661852249,811,1566,2836,0.642030548751354235292865269003,38,0.010000000000000000208166817117
21,21_0,COMPLETED,Sobol,SOBOL,0.230000000000000009992007221626,874,3897,2214,0.108295192383229738064542857501,23,0.100000000000000005551115123126
22,22_0,COMPLETED,Sobol,SOBOL,0.100000000000000005551115123126,800,2918,4665,0.337439163895323857023100799779,3,0.100000000000000005551115123126
23,23_0,COMPLETED,Sobol,SOBOL,0.100000000000000005551115123126,1000,44,287,0.911865658814087542971549282811,38,0.001000000000000000020816681712
24,24_0,COMPLETED,Sobol,SOBOL,0.070000000000000006661338147751,913,343,3591,0.417711781093850709201120707803,34,0.25
25,25_0,COMPLETED,Sobol,SOBOL,0.160000000000000003330669073875,777,2634,1712,0.831600640879944008609925276687,7,0.050000000000000002775557561563
26,26_0,COMPLETED,Sobol,SOBOL,0.170000000000000012212453270877,1106,4157,3910,0.59660141385346654452348502673,19,0.050000000000000002775557561563
27,27_0,COMPLETED,Sobol,SOBOL,0.340000000000000024424906541753,998,1320,788,0.153716728016734111017527197873,42,0.025000000000000001387778780781
28,28_0,COMPLETED,Sobol,SOBOL,0.040000000000000000832667268469,1114,2176,4774,0.986608447656035392192563904246,14,0.100000000000000005551115123126
29,29_0,COMPLETED,Sobol,SOBOL,0.429999999999999993338661852249,2731,4849,393,0.263067677564919000232634971326,48,0.25
30,30_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.429999999999999993338661852249,1849,2622,220,0.128243726299036020499499954894,37,0.010000000000000000208166817117
31,31_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3763,65,0.254677464487691462835528000141,16,0.25
32,32_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,4034,114,0.850435623834162046641438337247,13,0.025000000000000001387778780781
33,33_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3336,9,0.001000000000000000020816681712,22,0.25
34,34_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3525,21,0.027034529484317414149696645609,50,0.010000000000000000208166817117
35,35_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,4983,259,0.974162600490920960183416354994,15,0.25
36,36_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,3942,197,0.011725494229282875172093447702,36,0.025000000000000001387778780781
37,37_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3516,56,0.9989999999999999991118215803,50,0.025000000000000001387778780781
38,38_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,3406,203,0.246878625805959261985123021077,35,0.005000000000000000104083408559
39,39_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,864,4210,4664,0.056485962029197867018126544281,50,0.25
40,40_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,4559,371,0.001000000000000000020816681712,16,0.25
41,41_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,3729,78,0.001000000000000000020816681712,1,0.25
42,42_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,2946,132,0.9989999999999999991118215803,37,0.010000000000000000208166817117
43,43_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2580,11,0.249106156354118729590041425581,50,0.010000000000000000208166817117
44,44_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.280000000000000026645352591004,1023,3678,1476,0.405502017489302646335858071325,35,0.010000000000000000208166817117
45,45_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.320000000000000006661338147751,1159,4211,1135,0.9989999999999999991118215803,16,0.25
46,46_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,4927,138,0.333475649876999236109753610435,13,0.025000000000000001387778780781
47,47_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3198,1,0.9989999999999999991118215803,9,0.25
48,48_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,2817,123,0.001000000000000000020816681712,38,0.005000000000000000104083408559
49,49_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,1689,269,0.001000000000000000020816681712,35,0.010000000000000000208166817117
50,50_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.160000000000000003330669073875,838,5000,4350,0.001000000000000000020816681712,50,0.010000000000000000208166817117
51,51_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4212,57,0.001000000000000000020816681712,34,0.005000000000000000104083408559
52,52_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.280000000000000026645352591004,1012,5000,1657,0.9989999999999999991118215803,17,0.001000000000000000020816681712
53,53_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,987,5000,2538,0.9989999999999999991118215803,34,0.100000000000000005551115123126
54,54_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1973,1,0.001000000000000000020816681712,17,0.025000000000000001387778780781
55,55_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,4999,155,0.9989999999999999991118215803,6,0.025000000000000001387778780781
56,56_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,4620,298,0.001000000000000000020816681712,1,0.005000000000000000104083408559
57,57_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.359999999999999986677323704498,1096,968,537,0.001000000000000000020816681712,38,0.010000000000000000208166817117
58,58_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3108,1,0.9989999999999999991118215803,2,0.005000000000000000104083408559
59,59_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,4997,92,0.03249508136536128494187281035,35,0.010000000000000000208166817117
60,60_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3227,1,0.231125553848025688807865662966,27,0.100000000000000005551115123126
61,61_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,1,0.001000000000000000020816681712,50,0.25
62,62_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3327,1,0.32383111654357055186892466736,28,0.100000000000000005551115123126
63,63_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.05999999999999999777955395075,1173,2681,1,0.177366002263627087209840738069,1,0.100000000000000005551115123126
64,64_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3416,1,0.658820351995305975023597966356,40,0.100000000000000005551115123126
65,65_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3970,1,0.044647250281496318746743412476,30,0.100000000000000005551115123126
66,66_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.040000000000000000832667268469,1347,1,438,0.037115012918426081023337559373,50,0.010000000000000000208166817117
67,67_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3243,1,0.204773288686230209298955173836,39,0.100000000000000005551115123126
68,68_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.130000000000000004440892098501,2284,4910,53,0.13343643992229456407550003405,1,0.001000000000000000020816681712
69,69_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3246,1,0.45527777442545863673117878534,38,0.100000000000000005551115123126
70,70_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.19000000000000000222044604925,1351,3812,3016,0.001000000000000000020816681712,50,0.010000000000000000208166817117
71,71_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3256,1,0.514056726630315541370919163455,37,0.100000000000000005551115123126
72,72_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.040000000000000000832667268469,1305,1,435,0.001000000000000000020816681712,36,0.25
73,73_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.130000000000000004440892098501,960,307,1306,0.001000000000000000020816681712,42,0.010000000000000000208166817117
74,74_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.350000000000000033306690738755,1631,4363,841,0.001000000000000000020816681712,7,0.025000000000000001387778780781
75,75_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.359999999999999986677323704498,1843,5000,735,0.001000000000000000020816681712,50,0.001000000000000000020816681712
76,76_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1822,1,0.9989999999999999991118215803,50,0.001000000000000000020816681712
77,77_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1810,1,0.9989999999999999991118215803,50,0.010000000000000000208166817117
78,78_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1837,1,0.9989999999999999991118215803,50,0.001000000000000000020816681712
79,79_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1841,1,0.9989999999999999991118215803,50,0.010000000000000000208166817117
80,80_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.340000000000000024424906541753,1729,1711,879,0.001000000000000000020816681712,44,0.010000000000000000208166817117
81,81_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1885,1,0.9989999999999999991118215803,43,0.001000000000000000020816681712
82,82_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1831,1,0.9989999999999999991118215803,43,0.005000000000000000104083408559
83,83_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1862,1,0.9989999999999999991118215803,42,0.001000000000000000020816681712
84,84_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.289999999999999980015985556747,1117,1479,1150,0.380453336011046916453892663412,49,0.001000000000000000020816681712
85,85_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1855,1,0.9989999999999999991118215803,42,0.001000000000000000020816681712
86,86_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.330000000000000015543122344752,1177,4823,1074,0.583140066308557525331934812129,50,0.025000000000000001387778780781
87,87_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1860,1,0.9989999999999999991118215803,43,0.001000000000000000020816681712
88,88_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.320000000000000006661338147751,1082,1559,1018,0.530449996239050647339752231346,45,0.005000000000000000104083408559
89,89_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1858,1,0.9989999999999999991118215803,43,0.001000000000000000020816681712
90,90_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1841,1,0.9989999999999999991118215803,42,0.010000000000000000208166817117
91,91_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1920,1,0.9989999999999999991118215803,42,0.001000000000000000020816681712
92,92_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.230000000000000009992007221626,1145,4953,2260,0.512467504042550370257913527894,49,0.010000000000000000208166817117
93,93_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1852,1,0.9989999999999999991118215803,42,0.001000000000000000020816681712
94,94_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.280000000000000026645352591004,1344,4565,1645,0.9989999999999999991118215803,41,0.025000000000000001387778780781
95,95_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.260000000000000008881784197001,1026,1359,1498,0.9989999999999999991118215803,15,0.025000000000000001387778780781
96,96_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.30999999999999999777955395075,1168,4652,1302,0.001000000000000000020816681712,35,0.010000000000000000208166817117
97,97_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1517,1,0.354132806888999340788615199926,24,0.001000000000000000020816681712
98,98_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.270000000000000017763568394003,1041,3824,1508,0.001000000000000000020816681712,20,0.025000000000000001387778780781
99,99_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1531,1,0.366740018670500489417207745646,24,0.001000000000000000020816681712
100,100_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1557,1,0.740574466743311621286238732864,26,0.001000000000000000020816681712
101,101_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.25,996,3120,1304,0.26543430938806483743164221778,43,0.001000000000000000020816681712
102,102_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1597,1,0.566295091289244156840254618146,26,0.001000000000000000020816681712
103,103_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1275,1,0.9989999999999999991118215803,25,0.005000000000000000104083408559
104,104_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1736,1,0.001000000000000000020816681712,26,0.001000000000000000020816681712
105,105_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1322,1,0.9989999999999999991118215803,25,0.005000000000000000104083408559
106,106_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1721,1,0.001000000000000000020816681712,26,0.001000000000000000020816681712
107,107_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1285,1,0.9989999999999999991118215803,25,0.001000000000000000020816681712
108,108_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1723,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
109,109_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.359999999999999986677323704498,1230,1444,701,0.9989999999999999991118215803,26,0.001000000000000000020816681712
110,110_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1598,1,0.9989999999999999991118215803,26,0.005000000000000000104083408559
111,111_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.289999999999999980015985556747,1127,1303,1097,0.9989999999999999991118215803,26,0.001000000000000000020816681712
112,112_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.230000000000000009992007221626,1132,1267,1698,0.025572645946143713474585368317,28,0.001000000000000000020816681712
113,113_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1568,1,0.9989999999999999991118215803,26,0.005000000000000000104083408559
114,114_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1300,1,0.9989999999999999991118215803,26,0.025000000000000001387778780781
115,115_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.260000000000000008881784197001,971,1445,1587,0.9989999999999999991118215803,30,0.25
116,116_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.160000000000000003330669073875,916,5000,4125,0.9989999999999999991118215803,1,0.25
117,117_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1549,1,0.9989999999999999991118215803,26,0.005000000000000000104083408559
118,118_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1376,1,0.001000000000000000020816681712,24,0.010000000000000000208166817117
119,119_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1477,1,0.001000000000000000020816681712,25,0.005000000000000000104083408559
120,120_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1494,1,0.001000000000000000020816681712,25,0.005000000000000000104083408559
121,121_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1228,1,0.001000000000000000020816681712,21,0.010000000000000000208166817117
122,122_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1572,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
123,123_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1233,1,0.9989999999999999991118215803,23,0.010000000000000000208166817117
124,124_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1550,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
125,125_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1114,1,0.001000000000000000020816681712,22,0.010000000000000000208166817117
126,126_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1115,1,0.9989999999999999991118215803,22,0.001000000000000000020816681712
127,127_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1379,1,0.9989999999999999991118215803,24,0.010000000000000000208166817117
128,128_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.300000000000000044408920985006,1158,5000,1335,0.001000000000000000020816681712,50,0.001000000000000000020816681712
129,129_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1279,1,0.9989999999999999991118215803,22,0.010000000000000000208166817117
130,130_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1690,1,0.9989999999999999991118215803,27,0.25
131,131_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1110,1,0.9989999999999999991118215803,19,0.010000000000000000208166817117
132,132_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1534,1,0.001000000000000000020816681712,27,0.010000000000000000208166817117
133,133_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1085,1,0.9989999999999999991118215803,23,0.010000000000000000208166817117
134,134_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1578,1,0.001000000000000000020816681712,25,0.005000000000000000104083408559
135,135_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1268,1,0.9989999999999999991118215803,21,0.010000000000000000208166817117
136,136_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1568,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
137,137_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.300000000000000044408920985006,1011,3284,1016,0.9989999999999999991118215803,38,0.005000000000000000104083408559
138,138_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1518,1,0.001000000000000000020816681712,25,0.005000000000000000104083408559
139,139_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1333,1,0.9989999999999999991118215803,25,0.010000000000000000208166817117
140,140_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1527,1,0.001000000000000000020816681712,25,0.005000000000000000104083408559
141,141_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1339,1,0.9989999999999999991118215803,25,0.010000000000000000208166817117
142,142_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1562,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
143,143_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1300,1,0.9989999999999999991118215803,24,0.010000000000000000208166817117
144,144_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1577,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
145,145_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1220,1,0.9989999999999999991118215803,20,0.010000000000000000208166817117
146,146_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1602,1,0.001000000000000000020816681712,26,0.001000000000000000020816681712
147,147_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1304,1,0.9989999999999999991118215803,24,0.010000000000000000208166817117
148,148_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,1332,3253,1891,0.001000000000000000020816681712,50,0.100000000000000005551115123126
149,149_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1525,1,0.001000000000000000020816681712,25,0.005000000000000000104083408559
150,150_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1251,1,0.9989999999999999991118215803,23,0.010000000000000000208166817117
151,151_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1568,1,0.001000000000000000020816681712,26,0.010000000000000000208166817117
152,152_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1407,1,0.001000000000000000020816681712,23,0.010000000000000000208166817117
153,153_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,1034,4684,2970,0.9989999999999999991118215803,1,0.025000000000000001387778780781
154,154_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1542,1,0.001000000000000000020816681712,25,0.005000000000000000104083408559
155,155_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1371,1,0.9989999999999999991118215803,26,0.010000000000000000208166817117
156,156_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1565,1,0.001000000000000000020816681712,25,0.001000000000000000020816681712
157,157_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1364,1,0.9989999999999999991118215803,24,0.010000000000000000208166817117
158,158_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1302,1,0.001000000000000000020816681712,25,0.005000000000000000104083408559
159,159_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1377,1,0.9989999999999999991118215803,25,0.010000000000000000208166817117
160,160_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1403,1,0.001000000000000000020816681712,25,0.005000000000000000104083408559
161,161_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.340000000000000024424906541753,1276,3852,898,0.9989999999999999991118215803,43,0.010000000000000000208166817117
162,162_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1427,1,0.001000000000000000020816681712,25,0.005000000000000000104083408559
163,163_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1367,1,0.9989999999999999991118215803,25,0.010000000000000000208166817117
164,164_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1431,1,0.001000000000000000020816681712,25,0.005000000000000000104083408559
165,165_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1387,1,0.9989999999999999991118215803,25,0.010000000000000000208166817117
166,166_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1395,1,0.001000000000000000020816681712,24,0.005000000000000000104083408559
167,167_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1315,1,0.9989999999999999991118215803,24,0.010000000000000000208166817117
168,168_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1522,1,0.001000000000000000020816681712,25,0.005000000000000000104083408559
169,169_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1204,1,0.9989999999999999991118215803,22,0.010000000000000000208166817117
170,170_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1728,1,0.001000000000000000020816681712,24,0.005000000000000000104083408559
171,171_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1304,1,0.9989999999999999991118215803,26,0.010000000000000000208166817117
172,172_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1713,1,0.001000000000000000020816681712,27,0.005000000000000000104083408559
173,173_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1319,1,0.9989999999999999991118215803,24,0.010000000000000000208166817117
174,174_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1669,1,0.001000000000000000020816681712,27,0.005000000000000000104083408559
175,175_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1327,1,0.9989999999999999991118215803,26,0.010000000000000000208166817117
176,176_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.209999999999999992228438827624,1042,4078,2631,0.001000000000000000020816681712,50,0.100000000000000005551115123126
177,177_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1639,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
178,178_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1368,1,0.9989999999999999991118215803,24,0.010000000000000000208166817117
179,179_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1541,1,0.001000000000000000020816681712,30,0.005000000000000000104083408559
180,180_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1538,1,0.793715407053184440755444484239,27,0.010000000000000000208166817117
181,181_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1517,1,0.001000000000000000020816681712,27,0.005000000000000000104083408559
182,182_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1586,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
183,183_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1538,1,0.001000000000000000020816681712,27,0.005000000000000000104083408559
184,184_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1660,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
185,185_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1470,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
186,186_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1583,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
187,187_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1426,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
188,188_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1624,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
189,189_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1493,1,0.001000000000000000020816681712,27,0.005000000000000000104083408559
190,190_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1599,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
191,191_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1414,1,0.001000000000000000020816681712,27,0.005000000000000000104083408559
192,192_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1620,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
193,193_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1499,1,0.001000000000000000020816681712,27,0.005000000000000000104083408559
194,194_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1633,1,0.87008831649439943856094714647,28,0.010000000000000000208166817117
195,185_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1470,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
196,196_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1628,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
197,197_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1507,1,0.001000000000000000020816681712,27,0.005000000000000000104083408559
198,198_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1625,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
199,199_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1431,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
200,200_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1574,1,0.731444539851955344289535787539,27,0.010000000000000000208166817117
201,201_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1473,1,0.001000000000000000020816681712,27,0.005000000000000000104083408559
202,202_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1573,1,0.9989999999999999991118215803,27,0.010000000000000000208166817117
203,203_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1501,1,0.001000000000000000020816681712,27,0.010000000000000000208166817117
204,204_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1563,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
205,205_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1457,1,0.001000000000000000020816681712,26,0.010000000000000000208166817117
206,206_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1555,1,0.9989999999999999991118215803,28,0.005000000000000000104083408559
207,207_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1579,1,0.001000000000000000020816681712,27,0.010000000000000000208166817117
208,208_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1597,1,0.9989999999999999991118215803,28,0.005000000000000000104083408559
209,209_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1603,1,0.001000000000000000020816681712,27,0.010000000000000000208166817117
210,210_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1485,1,0.9989999999999999991118215803,27,0.005000000000000000104083408559
211,211_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1599,1,0.25826480166250875836198019897,27,0.010000000000000000208166817117
212,212_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1419,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
213,213_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1609,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
214,214_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3750,1,0.001000000000000000020816681712,40,0.25
215,215_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1565,1,0.75114564819046070187624764003,28,0.010000000000000000208166817117
216,189_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1493,1,0.001000000000000000020816681712,27,0.005000000000000000104083408559
217,217_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1608,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
218,218_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1466,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
219,219_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1632,1,0.991194248098206664998599535465,28,0.010000000000000000208166817117
220,220_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1565,1,0.180814335644128826308119073474,27,0.010000000000000000208166817117
221,221_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1527,1,0.9989999999999999991118215803,28,0.005000000000000000104083408559
222,222_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1600,1,0.9989999999999999991118215803,27,0.010000000000000000208166817117
223,223_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1491,1,0.001000000000000000020816681712,27,0.005000000000000000104083408559
224,224_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1607,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
225,225_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1465,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
226,226_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1616,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
227,227_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1411,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
228,228_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1644,1,0.927930947862149135829668011866,28,0.010000000000000000208166817117
229,229_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1508,1,0.001000000000000000020816681712,27,0.005000000000000000104083408559
230,188_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1624,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
231,231_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1424,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
232,232_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1636,1,0.317666666649199402883141374332,27,0.010000000000000000208166817117
233,233_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1409,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
234,234_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1617,1,0.628200369400741642778029927285,28,0.010000000000000000208166817117
235,235_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1464,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
236,236_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1618,1,0.920136122940962475347248528124,28,0.010000000000000000208166817117
237,237_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1438,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
238,238_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1680,1,0.990829759702948953403733867162,28,0.010000000000000000208166817117
239,239_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1474,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
240,240_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1564,1,0.669297598265388815619303386484,27,0.010000000000000000208166817117
241,241_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1485,1,0.001000000000000000020816681712,27,0.005000000000000000104083408559
242,242_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1598,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
243,243_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1514,1,0.001000000000000000020816681712,27,0.005000000000000000104083408559
244,244_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1588,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
245,245_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1542,1,0.001000000000000000020816681712,27,0.010000000000000000208166817117
246,246_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1516,1,0.9989999999999999991118215803,28,0.005000000000000000104083408559
247,247_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1598,1,0.001000000000000000020816681712,27,0.010000000000000000208166817117
248,248_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1513,1,0.9989999999999999991118215803,27,0.005000000000000000104083408559
249,249_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1584,1,0.001000000000000000020816681712,27,0.010000000000000000208166817117
250,250_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1434,1,0.9989999999999999991118215803,27,0.010000000000000000208166817117
251,251_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1521,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
252,190_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1599,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
253,253_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1472,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
254,254_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1621,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
255,255_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1476,1,0.001000000000000000020816681712,27,0.005000000000000000104083408559
256,256_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1643,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
257,257_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1492,1,0.001000000000000000020816681712,27,0.005000000000000000104083408559
258,258_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1611,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
259,259_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1489,1,0.001000000000000000020816681712,27,0.005000000000000000104083408559
260,260_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1570,1,0.459467035996481643067568256811,27,0.010000000000000000208166817117
261,261_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3814,1,0.001000000000000000020816681712,39,0.25
262,262_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1539,1,0.747927538288890580986389977625,27,0.010000000000000000208166817117
263,263_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1418,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
264,264_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1623,1,0.533612418273837540994009032147,28,0.010000000000000000208166817117
265,223_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1491,1,0.001000000000000000020816681712,27,0.005000000000000000104083408559
266,266_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1565,1,0.9989999999999999991118215803,27,0.010000000000000000208166817117
267,267_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1471,1,0.001000000000000000020816681712,27,0.005000000000000000104083408559
268,268_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1601,1,0.936145606967785925967007187865,28,0.010000000000000000208166817117
269,269_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3802,1,0.001000000000000000020816681712,36,0.010000000000000000208166817117
270,270_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1572,1,0.246999306575632210369874997014,27,0.010000000000000000208166817117
271,271_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1503,1,0.9989999999999999991118215803,28,0.005000000000000000104083408559
272,272_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1609,1,0.001000000000000000020816681712,27,0.010000000000000000208166817117
273,273_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1506,1,0.9989999999999999991118215803,28,0.005000000000000000104083408559
274,274_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1580,1,0.001000000000000000020816681712,27,0.010000000000000000208166817117
275,275_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1500,1,0.9989999999999999991118215803,27,0.010000000000000000208166817117
276,276_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1565,1,0.001000000000000000020816681712,27,0.010000000000000000208166817117
277,277_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1466,1,0.9989999999999999991118215803,28,0.005000000000000000104083408559
278,278_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1605,1,0.001000000000000000020816681712,27,0.010000000000000000208166817117
279,279_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1480,1,0.9989999999999999991118215803,28,0.005000000000000000104083408559
280,280_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1502,1,0.383634233752573439168997992965,27,0.010000000000000000208166817117
281,281_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1521,1,0.001000000000000000020816681712,27,0.005000000000000000104083408559
282,282_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1614,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
283,283_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1499,1,0.001000000000000000020816681712,27,0.010000000000000000208166817117
284,284_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1501,1,0.9989999999999999991118215803,27,0.005000000000000000104083408559
285,285_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1588,1,0.001000000000000000020816681712,27,0.010000000000000000208166817117
286,286_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1473,1,0.9989999999999999991118215803,27,0.005000000000000000104083408559
287,287_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1583,1,0.603438650417102095957488927525,27,0.010000000000000000208166817117
288,288_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1511,1,0.001000000000000000020816681712,27,0.005000000000000000104083408559
289,289_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1593,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
290,290_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1428,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
291,291_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1645,1,0.904569477913035879801384453458,28,0.010000000000000000208166817117
292,212_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1419,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
293,293_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1623,1,0.923289160083326621020205493551,28,0.010000000000000000208166817117
294,189_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1493,1,0.001000000000000000020816681712,27,0.005000000000000000104083408559
295,295_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1617,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
296,187_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1426,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
297,297_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1612,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
298,298_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1435,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
299,299_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1587,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
300,300_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1557,1,0.524716365477343793521924908418,27,0.010000000000000000208166817117
301,301_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1441,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
302,299_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1587,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
303,303_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1476,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
304,304_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1610,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
305,305_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1487,1,0.001000000000000000020816681712,27,0.005000000000000000104083408559
306,306_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1618,1,0.904130110114466312154490879038,28,0.010000000000000000208166817117
307,307_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1478,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
308,308_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1647,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
309,309_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1463,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
310,310_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1585,1,0.9989999999999999991118215803,27,0.010000000000000000208166817117
311,311_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1487,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
312,192_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1620,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
313,313_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1439,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
314,188_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1624,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
315,315_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1483,1,0.001000000000000000020816681712,26,0.010000000000000000208166817117
316,316_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1562,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
317,317_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1479,1,0.001000000000000000020816681712,27,0.005000000000000000104083408559
318,318_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1620,1,0.982368649783248781837130536587,28,0.010000000000000000208166817117
319,319_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1425,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
320,320_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1591,1,0.638344047496977040623278298881,27,0.010000000000000000208166817117
321,321_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1405,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
322,226_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1616,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
323,323_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1519,1,0.001000000000000000020816681712,27,0.005000000000000000104083408559
324,224_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1607,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
325,325_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3682,1,0.001000000000000000020816681712,40,0.25
326,326_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1572,1,0.397541769822993940053379446908,27,0.010000000000000000208166817117
327,327_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1437,1,0.001000000000000000020816681712,27,0.005000000000000000104083408559
328,328_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1606,1,0.650907711902078855992215267179,28,0.010000000000000000208166817117
329,329_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1442,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
330,330_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1626,1,0.793523690327516906251048567356,28,0.010000000000000000208166817117
331,331_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1450,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
332,332_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1646,1,0.842416661050871429239350618445,28,0.010000000000000000208166817117
333,333_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1384,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
334,334_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1633,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
335,335_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1457,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
336,336_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1610,1,0.877973296468523289881602522655,28,0.010000000000000000208166817117
337,313_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1439,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
338,338_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1642,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
339,298_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1435,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
340,340_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1555,1,0.688128635440578673154732314288,27,0.010000000000000000208166817117
341,341_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1653,1,0.001000000000000000020816681712,27,0.010000000000000000208166817117
342,342_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1469,1,0.813847873154957768271344775712,26,0.005000000000000000104083408559
343,343_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1555,1,0.001000000000000000020816681712,27,0.010000000000000000208166817117
344,344_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3752,1,0.001000000000000000020816681712,41,0.25
345,345_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1558,1,0.001000000000000000020816681712,27,0.010000000000000000208166817117
346,346_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1558,1,0.9989999999999999991118215803,28,0.005000000000000000104083408559
347,347_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1546,1,0.001000000000000000020816681712,27,0.010000000000000000208166817117
348,348_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1494,1,0.9989999999999999991118215803,27,0.005000000000000000104083408559
349,349_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1635,1,0.048331449502021409103669213891,28,0.010000000000000000208166817117
350,350_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1440,1,0.9989999999999999991118215803,27,0.010000000000000000208166817117
351,351_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1505,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
352,192_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1620,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
353,329_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1442,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
354,354_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1623,1,0.509918744420601810496407324536,28,0.010000000000000000208166817117
355,355_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1469,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
356,356_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1629,1,0.773370422484878972113619965967,28,0.010000000000000000208166817117
357,357_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1315,1,0.001000000000000000020816681712,24,0.010000000000000000208166817117
358,358_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1803,1,0.9989999999999999991118215803,29,0.010000000000000000208166817117
359,359_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1437,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
360,360_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1538,1,0.512430814243970522703364167683,27,0.010000000000000000208166817117
361,361_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3757,1,0.001000000000000000020816681712,39,0.25
362,362_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1550,1,0.487140265979398690010526706828,27,0.010000000000000000208166817117
363,363_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1517,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
364,364_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1634,1,0.953247342235053252146315116988,28,0.010000000000000000208166817117
365,365_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1473,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
366,366_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1632,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
367,367_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1470,1,0.001000000000000000020816681712,27,0.005000000000000000104083408559
368,368_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1578,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
369,369_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1467,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
370,370_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1626,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
371,281_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1521,1,0.001000000000000000020816681712,27,0.005000000000000000104083408559
372,372_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1574,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
373,373_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3698,1,0.001000000000000000020816681712,37,0.25
374,374_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1594,1,0.437954482716237991635210846653,27,0.010000000000000000208166817117
375,375_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1477,1,0.855984986461849395311674015829,27,0.005000000000000000104083408559
376,376_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1616,1,0.001000000000000000020816681712,27,0.010000000000000000208166817117
377,377_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1513,1,0.9989999999999999991118215803,28,0.005000000000000000104083408559
378,378_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1619,1,0.001000000000000000020816681712,27,0.010000000000000000208166817117
379,379_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1505,1,0.9989999999999999991118215803,27,0.005000000000000000104083408559
380,380_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1538,1,0.276162844982334509946753087206,27,0.010000000000000000208166817117
381,381_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1436,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
382,188_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1624,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
383,383_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1523,1,0.001000000000000000020816681712,27,0.005000000000000000104083408559
384,384_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1604,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
385,385_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1484,1,0.001000000000000000020816681712,27,0.005000000000000000104083408559
386,386_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1622,1,0.519027795004799896716463081248,28,0.010000000000000000208166817117
387,359_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1437,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
388,388_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1569,1,0.959468204079397479766555534297,27,0.010000000000000000208166817117
389,389_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1501,1,0.001000000000000000020816681712,27,0.005000000000000000104083408559
390,390_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1622,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
391,331_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1450,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
392,196_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1628,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
393,393_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1376,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
394,394_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1580,1,0.825272058818193210427693884412,27,0.010000000000000000208166817117
395,395_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1439,1,0.001000000000000000020816681712,27,0.005000000000000000104083408559
396,396_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1629,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
397,183_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1538,1,0.001000000000000000020816681712,27,0.005000000000000000104083408559
398,398_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1619,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
399,199_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1431,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
400,400_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1567,1,0.693417444812498784401100238028,27,0.010000000000000000208166817117
401,401_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1483,1,0.001000000000000000020816681712,27,0.005000000000000000104083408559
402,402_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1612,1,0.580042621306449346363365293655,28,0.010000000000000000208166817117
403,235_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1464,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
404,404_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1600,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
405,405_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1505,1,0.001000000000000000020816681712,27,0.005000000000000000104083408559
406,192_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1620,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
407,407_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1531,1,0.001000000000000000020816681712,27,0.010000000000000000208166817117
408,408_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1491,1,0.9989999999999999991118215803,28,0.005000000000000000104083408559
409,409_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1594,1,0.001000000000000000020816681712,28,0.010000000000000000208166817117
410,410_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1429,1,0.9989999999999999991118215803,27,0.005000000000000000104083408559
411,376_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1616,1,0.001000000000000000020816681712,27,0.010000000000000000208166817117
412,412_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1470,1,0.9989999999999999991118215803,27,0.005000000000000000104083408559
413,413_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1615,1,0.017290914134856595618661145863,27,0.010000000000000000208166817117
414,377_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1513,1,0.9989999999999999991118215803,28,0.005000000000000000104083408559
415,278_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1605,1,0.001000000000000000020816681712,27,0.010000000000000000208166817117
416,416_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1409,1,0.843324540513117337781068272307,27,0.005000000000000000104083408559
417,417_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1594,1,0.034637597958127798458694002193,27,0.010000000000000000208166817117
418,418_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1550,1,0.9989999999999999991118215803,28,0.005000000000000000104083408559
419,419_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1613,1,0.001000000000000000020816681712,27,0.010000000000000000208166817117
420,420_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1543,1,0.598530120636348694773687384441,27,0.010000000000000000208166817117
421,421_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1455,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
422,226_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1616,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
423,423_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1529,1,0.001000000000000000020816681712,27,0.005000000000000000104083408559
424,190_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1599,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
425,425_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1490,1,0.001000000000000000020816681712,27,0.005000000000000000104083408559
426,426_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1597,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
427,425_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1490,1,0.001000000000000000020816681712,27,0.005000000000000000104083408559
428,428_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1615,1,0.372322487242331412460316641955,28,0.010000000000000000208166817117
429,429_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1416,1,0.001000000000000000020816681712,27,0.005000000000000000104083408559
430,430_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1615,1,0.807260944754086384733682280057,28,0.010000000000000000208166817117
431,307_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1478,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
432,188_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1624,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
433,369_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1467,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
434,434_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1374,1,0.9989999999999999991118215803,25,0.010000000000000000208166817117
435,435_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1621,1,0.001000000000000000020816681712,28,0.005000000000000000104083408559
436,436_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1603,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
437,437_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1446,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
438,438_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1579,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
439,185_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1470,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
440,440_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1559,1,0.825987408910257236982488393551,28,0.010000000000000000208166817117
441,441_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1461,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
442,217_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1608,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
443,309_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1463,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
444,213_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1609,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
445,445_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1444,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
446,446_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1615,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
447,447_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1451,1,0.089649621480783592275543014694,26,0.010000000000000000208166817117
448,448_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3758,1,0.001000000000000000020816681712,39,0.25
449,449_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1563,1,0.129491013850947606078634066762,27,0.010000000000000000208166817117
450,450_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1397,1,0.499103089207236449986737625295,27,0.005000000000000000104083408559
451,451_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1627,1,0.343368878151771750317777787131,27,0.010000000000000000208166817117
452,452_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1394,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
453,446_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1615,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
454,454_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1492,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
455,455_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1595,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
456,456_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1495,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
457,457_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1582,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
458,458_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1506,1,0.001000000000000000020816681712,27,0.005000000000000000104083408559
459,244_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1588,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
460,460_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1549,1,0.576620692471713436333402569289,27,0.010000000000000000208166817117
461,461_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1454,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
462,462_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1635,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
463,463_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1460,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
464,426_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1597,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
465,465_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3800,1,0.001000000000000000020816681712,41,0.25
466,466_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1570,1,0.659925906789398108998057068675,27,0.010000000000000000208166817117
467,405_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1505,1,0.001000000000000000020816681712,27,0.005000000000000000104083408559
468,468_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1586,1,0.9989999999999999991118215803,27,0.010000000000000000208166817117
469,317_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1479,1,0.001000000000000000020816681712,27,0.005000000000000000104083408559
470,304_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1610,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
471,471_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1510,1,0.001000000000000000020816681712,27,0.010000000000000000208166817117
472,472_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1544,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
473,185_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1470,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
474,474_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1596,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
475,475_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1515,1,0.001000000000000000020816681712,27,0.005000000000000000104083408559
476,476_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1600,1,0.737548633918381768559413558251,28,0.010000000000000000208166817117
477,477_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1482,1,0.001000000000000000020816681712,27,0.005000000000000000104083408559
478,478_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1622,1,0.898096438806562979983993955102,28,0.010000000000000000208166817117
479,239_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1474,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
480,480_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1530,1,0.411384391158866546955863441326,27,0.010000000000000000208166817117
481,425_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1490,1,0.001000000000000000020816681712,27,0.005000000000000000104083408559
482,482_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1649,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
483,483_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1432,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
484,484_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1668,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
485,485_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1448,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
486,486_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1648,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
487,311_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1487,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
488,488_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1587,1,0.9989999999999999991118215803,27,0.010000000000000000208166817117
489,489_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1540,1,0.005018278513443521354764342846,27,0.005000000000000000104083408559
490,490_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1600,1,0.867658690101562712904126328795,28,0.010000000000000000208166817117
491,463_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1460,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
492,226_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1616,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
493,493_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1509,1,0.001000000000000000020816681712,27,0.005000000000000000104083408559
494,494_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1613,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
495,187_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1426,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
496,496_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1602,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
497,497_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1402,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
498,498_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1626,1,0.48929389826317293277213593683,27,0.010000000000000000208166817117
499,227_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1411,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
500,500_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1588,1,0.298460251520866304275614311337,27,0.010000000000000000208166817117
501,501_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1407,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
502,502_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1603,1,0.44056692606192332517522913804,27,0.010000000000000000208166817117
503,298_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1435,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
504,188_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1624,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
505,212_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1419,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
506,506_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1645,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
507,507_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1440,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
508,198_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1625,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
509,509_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1468,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
510,510_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1572,1,0.67509433032248955530718603768,28,0.010000000000000000208166817117
511,241_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1485,1,0.001000000000000000020816681712,27,0.005000000000000000104083408559
512,426_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1597,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
513,513_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1448,1,0.001000000000000000020816681712,27,0.005000000000000000104083408559
514,254_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1621,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
515,233_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1409,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
516,516_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1640,1,0.662439818391630241833922809747,28,0.010000000000000000208166817117
517,517_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1450,1,0.001000000000000000020816681712,27,0.010000000000000000208166817117
518,518_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1521,1,0.9989999999999999991118215803,28,0.005000000000000000104083408559
519,519_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1622,1,0.047299730331693261298209307597,27,0.010000000000000000208166817117
520,520_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1568,1,0.50988757836455933514230309811,27,0.010000000000000000208166817117
521,521_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1462,1,0.001000000000000000020816681712,27,0.005000000000000000104083408559
522,222_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1600,1,0.9989999999999999991118215803,27,0.010000000000000000208166817117
523,523_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3805,1,0.001000000000000000020816681712,42,0.25
524,524_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1544,1,0.363697787842798103685737487467,27,0.010000000000000000208166817117
525,401_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1483,1,0.001000000000000000020816681712,27,0.005000000000000000104083408559
526,526_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1594,1,0.744902390376905976232535522286,27,0.010000000000000000208166817117
527,527_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1464,1,0.001000000000000000020816681712,27,0.005000000000000000104083408559
528,528_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1638,1,0.83718499716487748685267433757,28,0.010000000000000000208166817117
529,267_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1471,1,0.001000000000000000020816681712,27,0.005000000000000000104083408559
530,530_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1624,1,0.6631250494607756618137273108,28,0.010000000000000000208166817117
531,531_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1453,1,0.001000000000000000020816681712,27,0.005000000000000000104083408559
532,192_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1620,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
533,533_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1497,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
534,534_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1601,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
535,237_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1438,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
536,536_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1614,1,0.830379250969013216199243743176,28,0.010000000000000000208166817117
537,425_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1490,1,0.001000000000000000020816681712,27,0.005000000000000000104083408559
538,538_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1630,1,0.83970305764124342218224228418,27,0.010000000000000000208166817117
539,301_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1441,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
540,540_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1521,1,0.379661004022089187959210221379,27,0.010000000000000000208166817117
541,541_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1492,1,0.902685664612466465150930616801,27,0.005000000000000000104083408559
542,542_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1631,1,0.044321025215655618367804891022,27,0.010000000000000000208166817117
543,543_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1462,1,0.9989999999999999991118215803,27,0.005000000000000000104083408559
544,544_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1597,1,0.001000000000000000020816681712,27,0.010000000000000000208166817117
545,545_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3785,1,0.001000000000000000020816681712,42,0.25
546,546_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1553,1,0.828162144434346547683389871963,27,0.010000000000000000208166817117
547,547_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1401,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
548,370_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1626,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
549,235_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1464,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
550,550_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1604,1,0.972329340734987002115019549819,28,0.010000000000000000208166817117
551,383_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1523,1,0.001000000000000000020816681712,27,0.005000000000000000104083408559
552,552_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1641,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
553,359_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1437,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
554,554_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1632,1,0.840879028671121631077767233364,28,0.010000000000000000208166817117
555,555_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1386,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
556,396_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1629,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
557,557_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1443,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
558,558_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1600,1,0.400588126763151974873977678726,28,0.010000000000000000208166817117
559,559_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1445,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
560,560_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1533,1,0.496210701239882701063521608376,27,0.010000000000000000208166817117
561,561_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1439,1,0.001000000000000000020816681712,25,0.005000000000000000104083408559
562,562_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1595,1,0.9989999999999999991118215803,27,0.010000000000000000208166817117
563,331_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1450,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
564,564_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1572,1,0.346796954904800058816505270443,28,0.010000000000000000208166817117
565,565_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1458,1,0.001000000000000000020816681712,27,0.010000000000000000208166817117
566,566_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1515,1,0.9989999999999999991118215803,27,0.005000000000000000104083408559
567,376_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1616,1,0.001000000000000000020816681712,27,0.010000000000000000208166817117
568,568_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1433,1,0.461834138987023135047849109469,26,0.005000000000000000104083408559
569,295_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1617,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
570,570_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1461,1,0.001000000000000000020816681712,27,0.005000000000000000104083408559
571,571_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1626,1,0.846913316557736051137794675014,28,0.010000000000000000208166817117
572,572_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1502,1,0.001000000000000000020816681712,27,0.005000000000000000104083408559
573,573_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1609,1,0.636760034400572494384107358201,27,0.010000000000000000208166817117
574,574_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1468,1,0.001000000000000000020816681712,27,0.005000000000000000104083408559
575,575_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1588,1,0.9989999999999999991118215803,27,0.010000000000000000208166817117
576,576_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1499,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
577,304_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1610,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
578,574_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1468,1,0.001000000000000000020816681712,27,0.005000000000000000104083408559
579,579_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1484,1,0.914146489299634268377303669695,27,0.010000000000000000208166817117
580,580_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1546,1,0.427476707929620836079465107105,27,0.010000000000000000208166817117
581,257_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1492,1,0.001000000000000000020816681712,27,0.005000000000000000104083408559
582,582_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1589,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
583,583_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3863,1,0.001000000000000000020816681712,40,0.25
584,584_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1631,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
585,585_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1449,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
586,188_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1624,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
587,477_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1482,1,0.001000000000000000020816681712,27,0.005000000000000000104083408559
588,588_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1600,1,0.875191618043034247342859544005,28,0.010000000000000000208166817117
589,331_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1450,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
590,289_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1593,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
591,369_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1467,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
592,592_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1642,1,0.986247095269500384517868951662,28,0.010000000000000000208166817117
593,593_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1447,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
594,594_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3706,1,0.001000000000000000020816681712,37,0.010000000000000000208166817117
595,595_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1574,1,0.385671298212246327352659136523,27,0.010000000000000000208166817117
596,223_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1491,1,0.001000000000000000020816681712,27,0.005000000000000000104083408559
597,213_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1609,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
598,454_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1492,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
599,599_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1629,1,0.879636490492993083911699159216,28,0.010000000000000000208166817117
600,600_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1549,1,0.565376832374504312284102525155,27,0.010000000000000000208166817117
601,601_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3813,1,0.001000000000000000020816681712,38,0.25
602,602_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1572,1,0.490636170634659307676628259287,27,0.010000000000000000208166817117
603,253_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1472,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
604,338_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1642,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
605,307_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1478,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
606,404_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1600,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
607,267_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1471,1,0.001000000000000000020816681712,27,0.005000000000000000104083408559
608,608_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1618,1,0.438067121798308090063756026211,28,0.010000000000000000208166817117
609,609_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1475,1,0.001000000000000000020816681712,27,0.005000000000000000104083408559
610,224_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1607,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
611,235_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1464,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
612,612_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1590,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
613,509_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1468,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
614,614_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1622,1,0.944475703637688068781130823481,28,0.010000000000000000208166817117
615,615_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1702,1,0.001000000000000000020816681712,28,0.005000000000000000104083408559
616,299_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1587,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
617,617_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1463,1,0.001000000000000000020816681712,26,0.010000000000000000208166817117
618,618_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3668,1,0.001000000000000000020816681712,39,0.25
619,619_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1552,1,0.29419175130038632826057209968,27,0.010000000000000000208166817117
620,620_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1527,1,0.517225806846111746395422414935,27,0.010000000000000000208166817117
621,621_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1472,1,0.001000000000000000020816681712,27,0.005000000000000000104083408559
622,622_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1594,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
623,623_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1518,1,0.001000000000000000020816681712,26,0.010000000000000000208166817117
624,624_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1557,1,0.9989999999999999991118215803,28,0.005000000000000000104083408559
625,625_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1639,1,0.151866781766602038095115290162,27,0.010000000000000000208166817117
626,626_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1502,1,0.985869451506783622818375079078,27,0.005000000000000000104083408559
627,627_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1598,1,0.092230222430580058312621360983,27,0.010000000000000000208166817117
628,628_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1508,1,0.9989999999999999991118215803,28,0.005000000000000000104083408559
629,629_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1607,1,0.235603409254413143081308135152,27,0.010000000000000000208166817117
630,630_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1446,1,0.9989999999999999991118215803,27,0.005000000000000000104083408559
631,631_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1598,1,0.002779991809944639888363404623,27,0.010000000000000000208166817117
632,632_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1528,1,0.506114334043405444951702065737,27,0.005000000000000000104083408559
633,633_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1600,1,0.635754498085264629914092893159,27,0.010000000000000000208166817117
634,634_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1434,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
635,635_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1592,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
636,636_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1481,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
637,637_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1583,1,0.863694136976660975513198081899,27,0.010000000000000000208166817117
638,197_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1507,1,0.001000000000000000020816681712,27,0.005000000000000000104083408559
639,639_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1613,1,0.73734631495660174493878002977,27,0.010000000000000000208166817117
640,640_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1549,1,0.492321428800856164542665283079,27,0.010000000000000000208166817117
641,641_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3792,1,0.001000000000000000020816681712,39,0.010000000000000000208166817117
642,642_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1549,1,0.236318690506951617491537831484,27,0.010000000000000000208166817117
643,643_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.400000000000000022204460492503,1586,1199,413,0.001000000000000000020816681712,24,0.005000000000000000104083408559
644,644_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1581,1,0.502748160156803902687272511685,27,0.010000000000000000208166817117
645,645_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3843,1,0.001000000000000000020816681712,40,0.005000000000000000104083408559
646,646_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1582,1,0.393974737063276458925997758342,27,0.010000000000000000208166817117
647,647_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1449,1,0.001000000000000000020816681712,26,0.025000000000000001387778780781
648,648_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1652,1,0.956860391080657013418431233731,29,0.010000000000000000208166817117
649,649_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1482,1,0.001000000000000000020816681712,26,0.010000000000000000208166817117
650,650_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1575,1,0.9989999999999999991118215803,28,0.005000000000000000104083408559
651,651_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1604,1,0.018606173903741488051544195059,27,0.010000000000000000208166817117
652,652_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1573,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
653,653_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.260000000000000008881784197001,1171,4687,1851,0.603677719212855512509463551396,36,0.100000000000000005551115123126
654,654_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2020,1,0.9989999999999999991118215803,28,0.25
655,655_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1372,1,0.9989999999999999991118215803,25,0.010000000000000000208166817117
656,656_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1434,1,0.001000000000000000020816681712,31,0.010000000000000000208166817117
657,657_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2123,1,0.001000000000000000020816681712,23,0.025000000000000001387778780781
658,658_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1364,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
659,659_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2322,1,0.9989999999999999991118215803,25,0.25
660,660_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1900,1,0.239454833129206623443252510697,25,0.025000000000000001387778780781
661,661_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2742,1,0.001000000000000000020816681712,22,0.25
662,662_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1922,1,0.001000000000000000020816681712,25,0.025000000000000001387778780781
663,663_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2182,1,0.001000000000000000020816681712,23,0.25
664,664_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1909,1,0.747413038544377683614072793716,25,0.025000000000000001387778780781
665,665_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2110,1,0.001000000000000000020816681712,26,0.25
666,666_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1918,1,0.9989999999999999991118215803,23,0.025000000000000001387778780781
667,667_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2795,1,0.001000000000000000020816681712,23,0.025000000000000001387778780781
668,668_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1499,1,0.885275870103499062935270558228,25,0.010000000000000000208166817117
669,669_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.280000000000000026645352591004,1044,3864,1478,0.9989999999999999991118215803,32,0.25
670,670_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1930,1,0.011981861225485420166525507568,24,0.025000000000000001387778780781
671,671_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2179,1,0.001000000000000000020816681712,26,0.25
672,672_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1893,1,0.001000000000000000020816681712,24,0.025000000000000001387778780781
673,673_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2071,1,0.001000000000000000020816681712,26,0.25
674,674_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1862,1,0.9989999999999999991118215803,27,0.025000000000000001387778780781
675,675_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2135,1,0.001000000000000000020816681712,26,0.25
676,676_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.239999999999999991118215802999,1046,4102,2193,0.992018328226981882522750311182,1,0.001000000000000000020816681712
677,677_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4577,1,0.001000000000000000020816681712,50,0.010000000000000000208166817117
678,678_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.260000000000000008881784197001,945,2578,820,0.001000000000000000020816681712,20,0.025000000000000001387778780781
679,679_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1383,1,0.001000000000000000020816681712,26,0.010000000000000000208166817117
680,680_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2017,1,0.456574142066395183281457548219,26,0.25
681,681_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1856,1,0.9989999999999999991118215803,27,0.025000000000000001387778780781
682,682_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2038,1,0.001000000000000000020816681712,26,0.25
683,683_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1936,1,0.9989999999999999991118215803,28,0.025000000000000001387778780781
684,684_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2009,1,0.001000000000000000020816681712,27,0.25
685,685_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1885,1,0.9989999999999999991118215803,28,0.025000000000000001387778780781
686,686_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1490,1,0.9989999999999999991118215803,25,0.010000000000000000208166817117
687,687_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3729,1,0.001000000000000000020816681712,44,0.25
688,688_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2040,1,0.382454517567754836981919197569,26,0.25
689,689_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1854,1,0.9989999999999999991118215803,28,0.025000000000000001387778780781
690,690_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2037,1,0.001000000000000000020816681712,26,0.25
691,691_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1828,1,0.9989999999999999991118215803,26,0.025000000000000001387778780781
692,692_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2163,1,0.001000000000000000020816681712,26,0.25
693,693_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1815,1,0.9989999999999999991118215803,28,0.025000000000000001387778780781
694,694_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2031,1,0.16512829137772302989795036865,26,0.25
695,695_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1924,1,0.9989999999999999991118215803,28,0.025000000000000001387778780781
696,696_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1649,1,0.9989999999999999991118215803,26,0.25
697,697_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2138,1,0.001000000000000000020816681712,25,0.25
698,698_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1854,1,0.9989999999999999991118215803,24,0.025000000000000001387778780781
699,699_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1466,1,0.9989999999999999991118215803,25,0.010000000000000000208166817117
700,700_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2081,1,0.245312172591840654822803458046,26,0.25
701,701_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1855,1,0.9989999999999999991118215803,26,0.025000000000000001387778780781
702,702_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2020,1,0.130528520482230514510035845888,26,0.25
703,703_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1857,1,0.9989999999999999991118215803,26,0.025000000000000001387778780781
704,704_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2051,1,0.001000000000000000020816681712,26,0.25
705,705_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1825,1,0.9989999999999999991118215803,29,0.025000000000000001387778780781
706,706_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1369,1,0.9989999999999999991118215803,24,0.010000000000000000208166817117
707,673_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2071,1,0.001000000000000000020816681712,26,0.25
708,708_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3714,1,0.001000000000000000020816681712,44,0.25
709,709_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2127,1,0.018850828608224581839358791058,26,0.25
710,710_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1788,1,0.9989999999999999991118215803,26,0.025000000000000001387778780781
711,711_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2034,1,0.020726337249918534710868556203,26,0.25
712,712_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3720,1,0.001000000000000000020816681712,45,0.25
713,713_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2047,1,0.272215073558463249714378662247,27,0.25
714,714_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1328,1,0.9989999999999999991118215803,23,0.010000000000000000208166817117
715,715_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2087,1,0.001000000000000000020816681712,27,0.25
716,716_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1355,1,0.9989999999999999991118215803,25,0.010000000000000000208166817117
717,717_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2086,1,0.001000000000000000020816681712,27,0.25
718,718_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1879,1,0.9989999999999999991118215803,25,0.025000000000000001387778780781
719,719_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1469,1,0.9989999999999999991118215803,25,0.010000000000000000208166817117
720,720_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2047,1,0.48654508293491732784374903531,26,0.25
721,721_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1775,1,0.9989999999999999991118215803,27,0.025000000000000001387778780781
722,722_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1455,1,0.9989999999999999991118215803,23,0.010000000000000000208166817117
723,723_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2090,1,0.001000000000000000020816681712,27,0.25
724,724_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1913,1,0.9989999999999999991118215803,27,0.025000000000000001387778780781
725,725_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1553,1,0.9989999999999999991118215803,25,0.25
726,726_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2115,1,0.001000000000000000020816681712,27,0.005000000000000000104083408559
727,727_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1896,1,0.9989999999999999991118215803,27,0.25
728,728_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1956,1,0.596321534621649718133085116278,27,0.025000000000000001387778780781
729,729_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2056,1,0.001000000000000000020816681712,27,0.25
730,730_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.340000000000000024424906541753,1854,3989,943,0.643407978820752401993843250239,48,0.100000000000000005551115123126
731,731_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2048,1,0.362189917224511825910582274446,26,0.25
732,732_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2026,1,0.9989999999999999991118215803,26,0.025000000000000001387778780781
733,733_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2028,1,0.210011206017661017364517306305,26,0.25
734,734_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3686,1,0.001000000000000000020816681712,45,0.25
735,735_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2005,1,0.606276452727556036670364392194,27,0.025000000000000001387778780781
736,736_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2036,1,0.253511547656335045619613310919,26,0.25
737,737_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1340,1,0.9989999999999999991118215803,23,0.010000000000000000208166817117
738,738_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4440,1,0.001000000000000000020816681712,50,0.010000000000000000208166817117
739,739_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2051,1,0.213622442491774755524147622054,26,0.25
740,740_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1708,1,0.001000000000000000020816681712,24,0.010000000000000000208166817117
741,741_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1833,1,0.001000000000000000020816681712,26,0.100000000000000005551115123126
742,742_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.359999999999999986677323704498,1530,1787,647,0.001000000000000000020816681712,24,0.100000000000000005551115123126
743,743_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1811,1,0.001000000000000000020816681712,25,0.005000000000000000104083408559
744,744_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.300000000000000044408920985006,1083,5000,1331,0.9989999999999999991118215803,41,0.100000000000000005551115123126
745,745_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1814,1,0.001000000000000000020816681712,26,0.100000000000000005551115123126
746,746_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2162,1,0.9989999999999999991118215803,33,0.25
747,747_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1763,1,0.001000000000000000020816681712,24,0.005000000000000000104083408559
748,748_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1787,1,0.001000000000000000020816681712,25,0.010000000000000000208166817117
749,749_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1851,1,0.001000000000000000020816681712,26,0.100000000000000005551115123126
750,750_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2241,1,0.9989999999999999991118215803,34,0.25
751,751_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4326,1,0.9989999999999999991118215803,40,0.100000000000000005551115123126
752,752_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1487,1,0.001000000000000000020816681712,26,0.100000000000000005551115123126
753,753_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.260000000000000008881784197001,907,839,1030,0.001000000000000000020816681712,22,0.025000000000000001387778780781
754,754_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1485,1,0.001000000000000000020816681712,26,0.010000000000000000208166817117
755,755_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4357,1,0.9989999999999999991118215803,42,0.010000000000000000208166817117
756,756_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1360,1,0.001000000000000000020816681712,25,0.010000000000000000208166817117
757,757_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1501,1,0.001000000000000000020816681712,27,0.100000000000000005551115123126
758,758_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1497,1,0.001000000000000000020816681712,26,0.010000000000000000208166817117
759,759_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1509,1,0.001000000000000000020816681712,26,0.005000000000000000104083408559
760,760_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1530,1,0.001000000000000000020816681712,26,0.100000000000000005551115123126
761,761_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1537,1,0.001000000000000000020816681712,26,0.010000000000000000208166817117
762,762_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1448,1,0.499465466185934570120252828929,24,0.100000000000000005551115123126
763,763_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4150,1,0.001000000000000000020816681712,43,0.100000000000000005551115123126
764,764_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1536,1,0.001000000000000000020816681712,26,0.010000000000000000208166817117
765,765_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4485,1,0.078431644533835873089877566144,47,0.010000000000000000208166817117
766,760_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1530,1,0.001000000000000000020816681712,26,0.100000000000000005551115123126
767,767_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1549,1,0.001000000000000000020816681712,26,0.010000000000000000208166817117
768,768_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1476,1,0.340811663461267400077048250751,26,0.100000000000000005551115123126
769,769_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4362,1,0.001000000000000000020816681712,45,0.010000000000000000208166817117
770,770_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1545,1,0.001000000000000000020816681712,26,0.010000000000000000208166817117
771,771_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4388,1,0.001000000000000000020816681712,44,0.010000000000000000208166817117
772,772_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1539,1,0.001000000000000000020816681712,26,0.010000000000000000208166817117
773,773_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1493,1,0.001000000000000000020816681712,26,0.100000000000000005551115123126
774,774_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1543,1,0.001000000000000000020816681712,26,0.010000000000000000208166817117
775,775_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1492,1,0.625998657144022474518862964032,26,0.100000000000000005551115123126
776,774_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1543,1,0.001000000000000000020816681712,26,0.010000000000000000208166817117
777,777_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1476,1,0.001000000000000000020816681712,26,0.100000000000000005551115123126
778,778_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4433,1,0.004714045415447756966209613694,45,0.100000000000000005551115123126
779,779_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1425,1,0.001000000000000000020816681712,25,0.010000000000000000208166817117
780,780_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1518,1,0.001000000000000000020816681712,26,0.100000000000000005551115123126
781,781_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4339,1,0.001000000000000000020816681712,45,0.100000000000000005551115123126
782,782_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1515,1,0.001000000000000000020816681712,26,0.010000000000000000208166817117
783,783_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1461,1,0.02154368095027139190511533684,25,0.100000000000000005551115123126
784,784_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1538,1,0.021030974670767862283460303274,26,0.010000000000000000208166817117
785,785_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1478,1,0.001000000000000000020816681712,25,0.100000000000000005551115123126
786,786_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1534,1,0.009028166096223691136635203236,26,0.010000000000000000208166817117
787,787_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4489,1,0.001000000000000000020816681712,46,0.010000000000000000208166817117
788,788_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1529,1,0.001000000000000000020816681712,26,0.010000000000000000208166817117
789,789_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1466,1,0.624167864217004209059780350799,25,0.100000000000000005551115123126
790,788_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1529,1,0.001000000000000000020816681712,26,0.010000000000000000208166817117
791,791_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1542,1,0.001000000000000000020816681712,27,0.100000000000000005551115123126
792,764_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1536,1,0.001000000000000000020816681712,26,0.010000000000000000208166817117
793,793_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4472,1,0.001000000000000000020816681712,46,0.010000000000000000208166817117
794,794_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1516,1,0.001000000000000000020816681712,26,0.010000000000000000208166817117
795,795_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1518,1,0.406345660933504548850692117412,26,0.005000000000000000104083408559
796,796_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4464,1,0.44238251540880568768443481531,48,0.100000000000000005551115123126
797,797_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4414,1,0.001000000000000000020816681712,45,0.010000000000000000208166817117
798,798_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1511,1,0.001000000000000000020816681712,26,0.010000000000000000208166817117
799,799_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1490,1,0.001000000000000000020816681712,26,0.100000000000000005551115123126
800,800_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1530,1,0.013346447795483719692133384171,26,0.010000000000000000208166817117
801,801_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.19000000000000000222044604925,1031,4174,3349,0.9989999999999999991118215803,37,0.100000000000000005551115123126
802,802_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1496,1,0.001000000000000000020816681712,26,0.100000000000000005551115123126
803,803_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1531,1,0.001000000000000000020816681712,26,0.010000000000000000208166817117
804,804_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1508,1,0.264731416293616739210392552195,26,0.005000000000000000104083408559
805,805_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1531,1,0.001000000000000000020816681712,26,0.100000000000000005551115123126
806,806_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1494,1,0.001000000000000000020816681712,24,0.010000000000000000208166817117
807,807_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1606,1,0.376442622097279078197118451499,26,0.005000000000000000104083408559
808,808_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1550,1,0.156960545605557721948741800588,25,0.010000000000000000208166817117
809,809_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1673,1,0.001000000000000000020816681712,28,0.100000000000000005551115123126
810,810_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1553,1,0.001000000000000000020816681712,26,0.010000000000000000208166817117
811,811_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.289999999999999980015985556747,1441,4303,1403,0.001000000000000000020816681712,12,0.100000000000000005551115123126
812,812_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1598,1,0.01367564520358471001626465835,26,0.100000000000000005551115123126
813,813_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1534,1,0.035409156639667732635601282709,26,0.010000000000000000208166817117
814,814_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1530,1,0.088447765420339413688921581524,26,0.005000000000000000104083408559
815,815_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1449,1,0.001000000000000000020816681712,25,0.010000000000000000208166817117
816,816_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1551,1,0.204727147128072689552524821011,27,0.100000000000000005551115123126
817,817_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1613,1,0.001000000000000000020816681712,25,0.010000000000000000208166817117
818,818_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.330000000000000015543122344752,1092,1496,944,0.9989999999999999991118215803,24,0.010000000000000000208166817117
819,819_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1434,1,0.9989999999999999991118215803,26,0.010000000000000000208166817117
820,820_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1782,1,0.9989999999999999991118215803,26,0.025000000000000001387778780781
821,821_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.050000000000000002775557561563,1091,1,2238,0.9989999999999999991118215803,1,0.050000000000000002775557561563
822,822_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1808,1,0.9989999999999999991118215803,26,0.025000000000000001387778780781
823,823_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.30999999999999999777955395075,1412,1599,1054,0.9989999999999999991118215803,1,0.25
824,824_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1798,1,0.9989999999999999991118215803,26,0.010000000000000000208166817117
825,825_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1396,1,0.9989999999999999991118215803,23,0.025000000000000001387778780781
826,826_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1959,1,0.9989999999999999991118215803,30,0.005000000000000000104083408559
827,827_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1424,1,0.9989999999999999991118215803,25,0.025000000000000001387778780781
828,828_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1783,1,0.9989999999999999991118215803,27,0.025000000000000001387778780781
829,829_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1542,1,0.9989999999999999991118215803,23,0.010000000000000000208166817117
830,830_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1926,1,0.9989999999999999991118215803,30,0.010000000000000000208166817117
831,831_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1646,1,0.9989999999999999991118215803,25,0.100000000000000005551115123126
832,832_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1892,1,0.9989999999999999991118215803,28,0.005000000000000000104083408559
833,833_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1609,1,0.9989999999999999991118215803,24,0.025000000000000001387778780781
834,834_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,1124,1,0.9989999999999999991118215803,32,0.025000000000000001387778780781
835,835_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1950,1,0.9989999999999999991118215803,31,0.005000000000000000104083408559
836,836_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.340000000000000024424906541753,1190,1941,931,0.9989999999999999991118215803,27,0.025000000000000001387778780781
837,837_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,763,5000,5000,0.217670256183479099432176440132,50,0.050000000000000002775557561563
838,838_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1926,1,0.9989999999999999991118215803,29,0.025000000000000001387778780781
839,839_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1425,1,0.9989999999999999991118215803,23,0.100000000000000005551115123126
840,840_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1889,1,0.001000000000000000020816681712,28,0.025000000000000001387778780781
841,841_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1149,1,0.9989999999999999991118215803,31,0.005000000000000000104083408559
842,842_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1920,1,0.9989999999999999991118215803,29,0.010000000000000000208166817117
843,843_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1154,1,0.9989999999999999991118215803,33,0.001000000000000000020816681712
844,844_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1873,1,0.001000000000000000020816681712,27,0.025000000000000001387778780781
845,845_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1485,1,0.9989999999999999991118215803,24,0.100000000000000005551115123126
846,846_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1752,1,0.001000000000000000020816681712,28,0.025000000000000001387778780781
847,847_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1812,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
848,848_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1638,1,0.9989999999999999991118215803,26,0.100000000000000005551115123126
849,849_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1765,1,0.9989999999999999991118215803,28,0.005000000000000000104083408559
850,850_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,870,1495,2445,0.9989999999999999991118215803,50,0.100000000000000005551115123126
851,851_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1556,1,0.9989999999999999991118215803,26,0.010000000000000000208166817117
852,852_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1708,1,0.9989999999999999991118215803,28,0.025000000000000001387778780781
853,853_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1525,1,0.9989999999999999991118215803,27,0.010000000000000000208166817117
854,854_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1526,1,0.9989999999999999991118215803,25,0.005000000000000000104083408559
855,855_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1644,1,0.9989999999999999991118215803,26,0.025000000000000001387778780781
856,856_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1569,1,0.9989999999999999991118215803,26,0.100000000000000005551115123126
857,857_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1742,1,0.001000000000000000020816681712,28,0.025000000000000001387778780781
858,858_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1527,1,0.9989999999999999991118215803,26,0.010000000000000000208166817117
859,859_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1808,1,0.001000000000000000020816681712,28,0.010000000000000000208166817117
860,860_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1563,1,0.9989999999999999991118215803,26,0.005000000000000000104083408559
861,861_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1688,1,0.001000000000000000020816681712,26,0.001000000000000000020816681712
862,862_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1654,1,0.9989999999999999991118215803,26,0.010000000000000000208166817117
863,863_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1608,1,0.9989999999999999991118215803,26,0.100000000000000005551115123126
864,864_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1739,1,0.001000000000000000020816681712,27,0.005000000000000000104083408559
865,865_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1538,1,0.9989999999999999991118215803,25,0.100000000000000005551115123126
866,866_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1799,1,0.001000000000000000020816681712,27,0.010000000000000000208166817117
867,867_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1621,1,0.9989999999999999991118215803,26,0.001000000000000000020816681712
868,868_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1634,1,0.9989999999999999991118215803,27,0.005000000000000000104083408559
869,869_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1605,1,0.001000000000000000020816681712,25,0.100000000000000005551115123126
870,870_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1844,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
871,871_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1452,1,0.9989999999999999991118215803,25,0.100000000000000005551115123126
872,872_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1791,1,0.9989999999999999991118215803,28,0.010000000000000000208166817117
873,873_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1577,1,0.001000000000000000020816681712,25,0.100000000000000005551115123126
874,874_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1820,1,0.001000000000000000020816681712,27,0.010000000000000000208166817117
875,875_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1608,1,0.9989999999999999991118215803,26,0.025000000000000001387778780781
876,876_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1674,1,0.001000000000000000020816681712,27,0.005000000000000000104083408559
877,877_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1591,1,0.9989999999999999991118215803,25,0.025000000000000001387778780781
878,878_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.30999999999999999777955395075,901,4281,1357,0.9989999999999999991118215803,11,0.005000000000000000104083408559
879,879_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1798,1,0.9989999999999999991118215803,27,0.010000000000000000208166817117
880,880_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,806,4155,4960,0.001000000000000000020816681712,1,0.025000000000000001387778780781
881,881_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1779,1,0.001000000000000000020816681712,28,0.025000000000000001387778780781
882,882_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1600,1,0.9989999999999999991118215803,25,0.005000000000000000104083408559
883,883_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1584,1,0.001000000000000000020816681712,25,0.025000000000000001387778780781
884,884_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1617,1,0.9989999999999999991118215803,26,0.010000000000000000208166817117
885,885_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1784,1,0.001000000000000000020816681712,27,0.010000000000000000208166817117
886,886_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1638,1,0.9989999999999999991118215803,26,0.025000000000000001387778780781
887,887_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1089,1,0.9989999999999999991118215803,32,0.100000000000000005551115123126
888,888_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1786,1,0.9989999999999999991118215803,28,0.001000000000000000020816681712
889,889_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1220,1,0.9989999999999999991118215803,30,0.100000000000000005551115123126
890,890_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1714,1,0.9989999999999999991118215803,26,0.025000000000000001387778780781
891,891_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1536,1,0.001000000000000000020816681712,25,0.001000000000000000020816681712
892,892_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1722,1,0.9989999999999999991118215803,27,0.100000000000000005551115123126
893,893_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1465,1,0.9989999999999999991118215803,24,0.001000000000000000020816681712
894,866_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1799,1,0.001000000000000000020816681712,27,0.010000000000000000208166817117
895,895_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1636,1,0.001000000000000000020816681712,26,0.010000000000000000208166817117
896,896_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1659,1,0.9989999999999999991118215803,26,0.025000000000000001387778780781
897,897_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1212,1,0.9989999999999999991118215803,30,0.100000000000000005551115123126
898,898_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1806,1,0.001000000000000000020816681712,27,0.025000000000000001387778780781
899,899_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1496,1,0.9989999999999999991118215803,25,0.100000000000000005551115123126
900,900_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1783,1,0.001000000000000000020816681712,27,0.025000000000000001387778780781
901,901_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1603,1,0.001000000000000000020816681712,25,0.005000000000000000104083408559
902,902_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1685,1,0.001000000000000000020816681712,26,0.025000000000000001387778780781
903,903_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.179999999999999993338661852249,824,1210,2458,0.512327182509651146702367441321,1,0.25
904,904_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1722,1,0.001000000000000000020816681712,27,0.005000000000000000104083408559
905,905_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1571,1,0.9989999999999999991118215803,25,0.025000000000000001387778780781
906,906_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1368,1,0.9989999999999999991118215803,27,0.100000000000000005551115123126
907,907_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1741,1,0.001000000000000000020816681712,26,0.010000000000000000208166817117
908,908_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1535,1,0.9989999999999999991118215803,25,0.025000000000000001387778780781
909,909_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1105,1,0.9989999999999999991118215803,32,0.100000000000000005551115123126
910,910_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1790,1,0.001000000000000000020816681712,27,0.025000000000000001387778780781
911,911_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1480,1,0.9989999999999999991118215803,26,0.005000000000000000104083408559
912,912_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1529,1,0.9989999999999999991118215803,23,0.100000000000000005551115123126
913,913_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1650,1,0.001000000000000000020816681712,25,0.005000000000000000104083408559
914,914_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1482,1,0.9989999999999999991118215803,23,0.025000000000000001387778780781
915,915_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1603,1,0.001000000000000000020816681712,24,0.001000000000000000020816681712
916,916_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1589,1,0.001000000000000000020816681712,24,0.010000000000000000208166817117
917,917_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1468,1,0.9989999999999999991118215803,24,0.100000000000000005551115123126
918,918_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1786,1,0.001000000000000000020816681712,26,0.010000000000000000208166817117
919,919_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1590,1,0.001000000000000000020816681712,24,0.100000000000000005551115123126
920,920_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1467,1,0.9989999999999999991118215803,23,0.100000000000000005551115123126
921,921_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1796,1,0.001000000000000000020816681712,26,0.010000000000000000208166817117
922,922_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1495,1,0.001000000000000000020816681712,24,0.025000000000000001387778780781
923,923_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1472,1,0.001000000000000000020816681712,24,0.010000000000000000208166817117
924,924_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1573,1,0.9989999999999999991118215803,23,0.010000000000000000208166817117
925,925_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1309,1,0.9989999999999999991118215803,25,0.100000000000000005551115123126
926,926_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1763,1,0.001000000000000000020816681712,26,0.010000000000000000208166817117
927,927_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1585,1,0.9989999999999999991118215803,24,0.005000000000000000104083408559
928,928_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1145,1,0.9989999999999999991118215803,30,0.100000000000000005551115123126
929,929_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1776,1,0.001000000000000000020816681712,26,0.025000000000000001387778780781
930,930_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1463,1,0.9989999999999999991118215803,24,0.100000000000000005551115123126
931,931_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1790,1,0.001000000000000000020816681712,26,0.010000000000000000208166817117
932,932_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1442,1,0.001000000000000000020816681712,24,0.025000000000000001387778780781
933,933_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1472,1,0.9989999999999999991118215803,24,0.100000000000000005551115123126
934,934_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1785,1,0.001000000000000000020816681712,26,0.010000000000000000208166817117
935,935_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1663,1,0.001000000000000000020816681712,24,0.100000000000000005551115123126
936,936_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1810,1,0.001000000000000000020816681712,26,0.025000000000000001387778780781
937,937_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1515,1,0.9989999999999999991118215803,23,0.005000000000000000104083408559
938,938_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.160000000000000003330669073875,995,2050,184,0.001000000000000000020816681712,33,0.025000000000000001387778780781
939,939_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1539,1,0.001000000000000000020816681712,23,0.010000000000000000208166817117
940,940_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,966,1352,2320,0.001000000000000000020816681712,50,0.005000000000000000104083408559
941,941_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1480,1,0.9989999999999999991118215803,22,0.025000000000000001387778780781
942,942_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1764,1,0.001000000000000000020816681712,26,0.025000000000000001387778780781
943,943_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1471,1,0.9989999999999999991118215803,24,0.100000000000000005551115123126
944,944_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1694,1,0.001000000000000000020816681712,25,0.010000000000000000208166817117
945,945_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1569,1,0.001000000000000000020816681712,23,0.025000000000000001387778780781
946,946_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1099,1,0.9989999999999999991118215803,32,0.100000000000000005551115123126
947,947_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1700,1,0.001000000000000000020816681712,25,0.010000000000000000208166817117
948,948_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1490,1,0.9989999999999999991118215803,37,0.010000000000000000208166817117
949,949_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1364,1,0.9989999999999999991118215803,31,0.005000000000000000104083408559
950,950_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1486,1,0.9989999999999999991118215803,35,0.010000000000000000208166817117
951,951_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1342,1,0.9989999999999999991118215803,31,0.100000000000000005551115123126
952,952_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1513,1,0.9989999999999999991118215803,36,0.010000000000000000208166817117
953,953_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1395,1,0.9989999999999999991118215803,32,0.005000000000000000104083408559
954,954_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1509,1,0.9989999999999999991118215803,36,0.010000000000000000208166817117
955,955_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1384,1,0.9989999999999999991118215803,32,0.100000000000000005551115123126
956,956_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1503,1,0.9989999999999999991118215803,35,0.005000000000000000104083408559
957,957_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1467,1,0.9989999999999999991118215803,35,0.010000000000000000208166817117
958,958_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,822,5000,4530,0.001000000000000000020816681712,50,0.025000000000000001387778780781
959,959_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1490,1,0.9989999999999999991118215803,35,0.010000000000000000208166817117
960,960_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1408,1,0.9989999999999999991118215803,32,0.100000000000000005551115123126
961,961_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.170000000000000012212453270877,856,5000,3852,0.001000000000000000020816681712,50,0.025000000000000001387778780781
962,962_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1493,1,0.9989999999999999991118215803,36,0.010000000000000000208166817117
963,963_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.380000000000000004440892098501,1136,1481,634,0.9989999999999999991118215803,29,0.010000000000000000208166817117
964,964_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,2482,1236,318,0.001000000000000000020816681712,1,0.025000000000000001387778780781
965,965_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,838,3638,4983,0.001000000000000000020816681712,50,0.010000000000000000208166817117
966,966_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.419999999999999984456877655248,1764,1259,336,0.9989999999999999991118215803,1,0.100000000000000005551115123126
967,967_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.289999999999999980015985556747,982,4252,1388,0.9989999999999999991118215803,1,0.050000000000000002775557561563
968,968_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,801,5000,5000,0.001000000000000000020816681712,50,0.25
969,969_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.289999999999999980015985556747,930,1881,1390,0.9989999999999999991118215803,1,0.005000000000000000104083408559
970,970_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.280000000000000026645352591004,925,4267,1514,0.9989999999999999991118215803,1,0.050000000000000002775557561563
971,971_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.44000000000000000222044604925,1876,1235,301,0.9989999999999999991118215803,1,0.025000000000000001387778780781
972,972_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.289999999999999980015985556747,2254,1184,315,0.001000000000000000020816681712,1,0.100000000000000005551115123126
973,973_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.280000000000000026645352591004,924,4098,1532,0.9989999999999999991118215803,1,0.005000000000000000104083408559
974,974_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.359999999999999986677323704498,1045,2650,421,0.9989999999999999991118215803,13,0.010000000000000000208166817117
975,975_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.409999999999999975575093458247,2142,4484,451,0.001000000000000000020816681712,50,0.025000000000000001387778780781
976,976_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1119,1,0.9989999999999999991118215803,30,0.001000000000000000020816681712
977,977_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1057,1,0.9989999999999999991118215803,30,0.100000000000000005551115123126
978,978_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.230000000000000009992007221626,2315,1208,272,0.001000000000000000020816681712,1,0.025000000000000001387778780781
979,979_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,847,1500,2047,0.9989999999999999991118215803,1,0.25
980,980_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.340000000000000024424906541753,1078,2704,522,0.001000000000000000020816681712,50,0.010000000000000000208166817117
981,981_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.320000000000000006661338147751,989,1877,1078,0.314947751553451726902466134561,28,0.025000000000000001387778780781
982,982_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.479999999999999982236431605997,3763,1472,208,0.9989999999999999991118215803,23,0.010000000000000000208166817117
983,983_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.289999999999999980015985556747,872,1344,1128,0.456260109604418151452165375304,21,0.005000000000000000104083408559
984,984_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.369999999999999995559107901499,1488,4059,663,0.001000000000000000020816681712,31,0.025000000000000001387778780781
985,985_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.260000000000000008881784197001,822,1343,1456,0.380192059477222565888610006368,50,0.025000000000000001387778780781
986,986_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.25,899,1210,1445,0.194874728317937895294420513892,50,0.025000000000000001387778780781
987,987_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.359999999999999986677323704498,1183,1373,668,0.9989999999999999991118215803,5,0.010000000000000000208166817117
988,988_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.239999999999999991118215802999,892,1184,1401,0.64325881976250165461550523105,50,0.025000000000000001387778780781
989,989_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.130000000000000004440892098501,768,1593,5000,0.001000000000000000020816681712,50,0.025000000000000001387778780781
990,990_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.349999999999999977795539507497,1026,1284,669,0.9989999999999999991118215803,4,0.005000000000000000104083408559
991,991_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.380000000000000004440892098501,1120,1333,580,0.9989999999999999991118215803,5,0.010000000000000000208166817117
992,992_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,952,4922,2559,0.001000000000000000020816681712,1,0.050000000000000002775557561563
993,993_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.050000000000000002775557561563,673,1,5000,0.001000000000000000020816681712,1,0.025000000000000001387778780781
994,994_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.320000000000000006661338147751,1076,4359,1155,0.756729743206114635611925223202,17,0.010000000000000000208166817117
995,995_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.419999999999999984456877655248,1693,1666,435,0.341623320562915666620540378062,30,0.100000000000000005551115123126
996,996_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.400000000000000022204460492503,1533,1671,516,0.418108293325782975902171756388,31,0.010000000000000000208166817117
997,997_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.160000000000000003330669073875,865,1567,3509,0.001000000000000000020816681712,50,0.025000000000000001387778780781
998,998_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.369999999999999995559107901499,1262,1651,698,0.464563344120994647923339471163,30,0.010000000000000000208166817117
999,999_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.050000000000000002775557561563,1075,2099,1222,0.9989999999999999991118215803,2,0.010000000000000000208166817117
1000,1000_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.119999999999999995559107901499,772,3267,5000,0.001000000000000000020816681712,50,0.050000000000000002775557561563
1001,1001_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.450000000000000011102230246252,2964,1672,312,0.442057610393094602141417226449,30,0.010000000000000000208166817117
1002,1002_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,831,2285,1011,0.78358973409774090868040730129,23,0.010000000000000000208166817117
1003,1003_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.119999999999999995559107901499,832,2261,1395,0.9989999999999999991118215803,13,0.010000000000000000208166817117
1004,1004_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.19000000000000000222044604925,943,2274,644,0.9989999999999999991118215803,24,0.005000000000000000104083408559
1005,1005_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.349999999999999977795539507497,1107,1178,687,0.50436796100083780558520629711,28,0.100000000000000005551115123126
1006,1006_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.380000000000000004440892098501,1436,1237,473,0.9989999999999999991118215803,21,0.100000000000000005551115123126
1007,1007_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.340000000000000024424906541753,1320,4321,974,0.448137173978192027146150167027,35,0.005000000000000000104083408559
1008,1008_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.369999999999999995559107901499,1501,1447,587,0.892151708912277574547999847709,41,0.100000000000000005551115123126
1009,1009_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4498,108,0.001000000000000000020816681712,50,0.25
1010,1010_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.390000000000000013322676295502,1874,1409,478,0.9989999999999999991118215803,43,0.100000000000000005551115123126
1011,1011_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.260000000000000008881784197001,926,1130,1272,0.9989999999999999991118215803,50,0.005000000000000000104083408559
1012,1012_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.280000000000000026645352591004,1347,3812,1459,0.9989999999999999991118215803,50,0.005000000000000000104083408559
1013,1013_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.400000000000000022204460492503,1590,3414,463,0.9989999999999999991118215803,18,0.010000000000000000208166817117
1014,1014_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2000,1,0.9989999999999999991118215803,15,0.010000000000000000208166817117
1015,1015_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.419999999999999984456877655248,2104,3708,390,0.489886290505814281370788876302,50,0.010000000000000000208166817117
1016,1016_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.409999999999999975575093458247,2364,3512,434,0.7058769270600899758960622421,1,0.010000000000000000208166817117
1017,1017_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.359999999999999986677323704498,1141,3154,595,0.9989999999999999991118215803,13,0.010000000000000000208166817117
1018,1018_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.390000000000000013322676295502,1392,1412,519,0.001000000000000000020816681712,50,0.005000000000000000104083408559
1019,1019_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.25,1165,1880,1997,0.9989999999999999991118215803,34,0.005000000000000000104083408559
1020,1020_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.260000000000000008881784197001,910,4647,1761,0.569874554770941843528930803586,23,0.100000000000000005551115123126
1021,1021_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1610,1,0.9989999999999999991118215803,5,0.010000000000000000208166817117
1022,1022_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1523,78,0.948358191828172603088376035885,38,0.001000000000000000020816681712
1023,1023_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.340000000000000024424906541753,1169,4275,952,0.316226283885189640709967306975,21,0.25
1024,1024_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.270000000000000017763568394003,1031,1136,1180,0.81864364478101470101734093987,43,0.25
1025,1025_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.260000000000000008881784197001,864,4200,1836,0.841294354541999411800645702897,1,0.025000000000000001387778780781
1026,1026_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.419999999999999984456877655248,1809,1397,396,0.9989999999999999991118215803,11,0.100000000000000005551115123126
1027,1027_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.280000000000000026645352591004,945,1071,1037,0.373425499636659996571808051158,23,0.010000000000000000208166817117
1028,1028_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.429999999999999993338661852249,2932,1405,357,0.9989999999999999991118215803,22,0.001000000000000000020816681712
1029,1029_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.25,893,4332,2093,0.373832167565780359996807646894,2,0.25
1030,1030_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.239999999999999991118215802999,887,1644,1931,0.9989999999999999991118215803,12,0.005000000000000000104083408559
1031,1031_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3386,1,0.001000000000000000020816681712,42,0.100000000000000005551115123126
1032,1032_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,917,3643,4384,0.26334209407629077803747463804,18,0.010000000000000000208166817117
1033,1033_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.479999999999999982236431605997,4868,1380,180,0.9989999999999999991118215803,24,0.001000000000000000020816681712
1034,1034_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.179999999999999993338661852249,1307,4823,3384,0.139674848864999007203024916635,16,0.005000000000000000104083408559
1035,1035_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1323,1,0.9989999999999999991118215803,38,0.001000000000000000020816681712
1036,1036_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.280000000000000026645352591004,1003,4306,1596,0.77239434073944535086297946691,30,0.100000000000000005551115123126
1037,1037_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1327,1,0.9989999999999999991118215803,38,0.001000000000000000020816681712
1038,1038_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.380000000000000004440892098501,1287,1401,569,0.9989999999999999991118215803,23,0.025000000000000001387778780781
1039,1039_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1408,1,0.9989999999999999991118215803,10,0.010000000000000000208166817117
1040,1040_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1340,2,0.891922242832283607150145599007,41,0.001000000000000000020816681712
1041,1041_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1439,1,0.9989999999999999991118215803,6,0.100000000000000005551115123126
1042,1042_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1390,1,0.9989999999999999991118215803,8,0.005000000000000000104083408559
1043,1043_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.380000000000000004440892098501,1178,1522,608,0.543148431634367656606343643944,37,0.001000000000000000020816681712
1044,1044_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1297,1,0.824364330098790842882294782612,40,0.001000000000000000020816681712
1045,1045_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1429,1,0.9989999999999999991118215803,6,0.100000000000000005551115123126
1046,1046_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1326,1,0.819977138136086969311122629733,40,0.001000000000000000020816681712
1047,1047_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1430,1,0.9989999999999999991118215803,6,0.100000000000000005551115123126
1048,1048_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1314,1,0.843650543769294380958001511317,40,0.001000000000000000020816681712
1049,1049_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1406,1,0.9989999999999999991118215803,6,0.100000000000000005551115123126
1050,1050_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1321,1,0.877066640726682056339313930948,40,0.001000000000000000020816681712
1051,1051_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1334,1,0.9989999999999999991118215803,7,0.005000000000000000104083408559
1052,1052_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.100000000000000005551115123126,907,2490,2572,0.923023507930481157401914060756,43,0.010000000000000000208166817117
1053,1053_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1331,1,0.815816273825260562801986452541,39,0.005000000000000000104083408559
1054,1054_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1411,1,0.9989999999999999991118215803,7,0.005000000000000000104083408559
1055,1055_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4458,6,0.001000000000000000020816681712,36,0.025000000000000001387778780781
1056,1056_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1319,1,0.996451994520346828743129208306,40,0.001000000000000000020816681712
1057,1057_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1427,1,0.9989999999999999991118215803,6,0.100000000000000005551115123126
1058,1058_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1326,1,0.984294068643553066166873577458,40,0.001000000000000000020816681712
1059,1059_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1424,1,0.9989999999999999991118215803,6,0.100000000000000005551115123126
1060,1060_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1280,1,0.98815948489587146497115099919,40,0.001000000000000000020816681712
1061,1061_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1416,1,0.9989999999999999991118215803,6,0.100000000000000005551115123126
1062,1062_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1393,1,0.9989999999999999991118215803,8,0.005000000000000000104083408559
1063,1063_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1316,1,0.943799788293939512229258070874,40,0.001000000000000000020816681712
1064,1064_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1414,1,0.9989999999999999991118215803,6,0.100000000000000005551115123126
1065,1065_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1319,1,0.956354155480516165965809705085,40,0.001000000000000000020816681712
1066,1066_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1414,1,0.9989999999999999991118215803,7,0.010000000000000000208166817117
1067,1067_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1415,1,0.9989999999999999991118215803,5,0.100000000000000005551115123126
1068,1068_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1308,1,0.984675653151772078963688272779,40,0.001000000000000000020816681712
1069,1069_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1403,1,0.9989999999999999991118215803,5,0.100000000000000005551115123126
1070,1070_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.280000000000000026645352591004,934,4508,1665,0.441674081897008630193113276619,13,0.25
1071,1071_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1364,1,0.9989999999999999991118215803,7,0.100000000000000005551115123126
1072,1072_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1406,1,0.9989999999999999991118215803,8,0.005000000000000000104083408559
1073,1073_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1314,1,0.886438328819506127231875325378,40,0.001000000000000000020816681712
1074,1074_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1433,1,0.9989999999999999991118215803,5,0.100000000000000005551115123126
1075,1075_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1426,1,0.9989999999999999991118215803,1,0.005000000000000000104083408559
1076,1076_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1431,1,0.9989999999999999991118215803,6,0.100000000000000005551115123126
1077,1077_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1403,1,0.9989999999999999991118215803,9,0.005000000000000000104083408559
1078,1078_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4562,10,0.001000000000000000020816681712,36,0.025000000000000001387778780781
1079,1079_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1422,1,0.9989999999999999991118215803,5,0.100000000000000005551115123126
1080,1080_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1403,1,0.9989999999999999991118215803,8,0.005000000000000000104083408559
1081,1081_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1452,1,0.9989999999999999991118215803,1,0.100000000000000005551115123126
1082,1082_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1373,1,0.875831002491258114872607620782,39,0.001000000000000000020816681712
1083,1083_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1435,1,0.9989999999999999991118215803,6,0.100000000000000005551115123126
1084,1084_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4325,19,0.001000000000000000020816681712,36,0.025000000000000001387778780781
1085,1085_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1332,1,0.882881116334821025581902631529,40,0.001000000000000000020816681712
1086,1086_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1426,1,0.9989999999999999991118215803,6,0.100000000000000005551115123126
1087,1077_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1403,1,0.9989999999999999991118215803,9,0.005000000000000000104083408559
1088,1088_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1441,1,0.9989999999999999991118215803,4,0.100000000000000005551115123126
1089,1089_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1308,1,0.907676976071095986675629774254,40,0.001000000000000000020816681712
1090,1090_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1425,1,0.9989999999999999991118215803,6,0.005000000000000000104083408559
1091,1091_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1447,1,0.9989999999999999991118215803,1,0.100000000000000005551115123126
1092,1092_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1329,1,0.881033512361886539387967332004,40,0.001000000000000000020816681712
1093,1083_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1435,1,0.9989999999999999991118215803,6,0.100000000000000005551115123126
1094,1094_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.280000000000000026645352591004,856,1774,1311,0.909570085744739298405647787149,7,0.001000000000000000020816681712
1095,1095_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1424,1,0.9989999999999999991118215803,5,0.100000000000000005551115123126
1096,1096_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1360,1,0.9989999999999999991118215803,8,0.005000000000000000104083408559
1097,1097_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1488,1,0.9989999999999999991118215803,2,0.100000000000000005551115123126
1098,1098_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1396,1,0.9989999999999999991118215803,8,0.005000000000000000104083408559
1099,1099_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1325,1,0.859325843282753520924188705976,40,0.001000000000000000020816681712
1100,1100_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1423,1,0.9989999999999999991118215803,6,0.100000000000000005551115123126
1101,1101_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1349,1,0.855744417833293136155248248542,39,0.001000000000000000020816681712
1102,1102_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1425,1,0.9989999999999999991118215803,6,0.100000000000000005551115123126
1103,1103_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1436,1,0.9989999999999999991118215803,5,0.100000000000000005551115123126
1104,1104_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1329,1,0.83371410336017315323431375873,39,0.005000000000000000104083408559
1105,1057_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1427,1,0.9989999999999999991118215803,6,0.100000000000000005551115123126
1106,1106_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1412,1,0.9989999999999999991118215803,8,0.005000000000000000104083408559
1107,1107_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1335,1,0.87537807432481817837555126971,39,0.001000000000000000020816681712
1108,1045_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1429,1,0.9989999999999999991118215803,6,0.100000000000000005551115123126
1109,1109_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1415,1,0.9989999999999999991118215803,1,0.100000000000000005551115123126
1110,1110_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1426,1,0.9989999999999999991118215803,8,0.005000000000000000104083408559
1111,1111_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1454,1,0.9989999999999999991118215803,2,0.100000000000000005551115123126
1112,1112_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1333,1,0.880745893917601940792394543678,39,0.001000000000000000020816681712
1113,1113_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1374,1,0.9989999999999999991118215803,5,0.005000000000000000104083408559
1114,1114_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4362,16,0.001000000000000000020816681712,37,0.025000000000000001387778780781
1115,1115_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1414,1,0.9989999999999999991118215803,5,0.100000000000000005551115123126
1116,1116_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1392,1,0.9989999999999999991118215803,9,0.005000000000000000104083408559
1117,1117_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1444,1,0.9989999999999999991118215803,3,0.100000000000000005551115123126
1118,1118_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1389,1,0.9989999999999999991118215803,9,0.005000000000000000104083408559
1119,1119_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1316,1,0.824189653366055763328290595382,40,0.001000000000000000020816681712
1120,1120_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1443,1,0.9989999999999999991118215803,6,0.100000000000000005551115123126
1121,1121_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1296,1,0.837576469842975179780353300885,39,0.001000000000000000020816681712
1122,1122_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1441,1,0.9989999999999999991118215803,6,0.100000000000000005551115123126
1123,1123_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1408,1,0.9989999999999999991118215803,8,0.005000000000000000104083408559
1124,1124_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1288,1,0.831308613794940143293388246093,40,0.001000000000000000020816681712
1125,1125_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1342,1,0.842911274674666199935302302038,37,0.100000000000000005551115123126
1126,1126_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1434,1,0.9989999999999999991118215803,5,0.100000000000000005551115123126
1127,1127_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1432,1,0.9989999999999999991118215803,9,0.005000000000000000104083408559
1128,1128_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1423,1,0.9989999999999999991118215803,2,0.100000000000000005551115123126
1129,1129_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4521,32,0.001000000000000000020816681712,37,0.025000000000000001387778780781
1130,1130_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1432,1,0.9989999999999999991118215803,5,0.100000000000000005551115123126
1131,1131_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1400,1,0.9989999999999999991118215803,9,0.005000000000000000104083408559
1132,1132_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4506,18,0.001000000000000000020816681712,36,0.025000000000000001387778780781
1133,1130_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1432,1,0.9989999999999999991118215803,5,0.100000000000000005551115123126
1134,1134_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1349,1,0.848099256444599047810584124818,39,0.001000000000000000020816681712
1135,1135_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1435,1,0.85173997249520583263660000739,39,0.005000000000000000104083408559
1136,1074_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1433,1,0.9989999999999999991118215803,5,0.100000000000000005551115123126
1137,1137_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1293,1,0.866333132953705620238338269701,39,0.005000000000000000104083408559
1138,1138_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1448,1,0.9989999999999999991118215803,6,0.100000000000000005551115123126
1139,1139_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1327,1,0.834634588756027140377113937575,39,0.001000000000000000020816681712
1140,1086_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1426,1,0.9989999999999999991118215803,6,0.100000000000000005551115123126
1141,1141_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1405,1,0.9989999999999999991118215803,8,0.005000000000000000104083408559
1142,1142_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1312,1,0.857824885830013150744832728378,40,0.001000000000000000020816681712
1143,1143_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1443,1,0.9989999999999999991118215803,4,0.100000000000000005551115123126
1144,1144_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1405,1,0.9989999999999999991118215803,9,0.005000000000000000104083408559
1145,1145_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1439,1,0.9989999999999999991118215803,4,0.100000000000000005551115123126
1146,1146_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1391,1,0.9989999999999999991118215803,9,0.005000000000000000104083408559
1147,1147_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4444,47,0.9989999999999999991118215803,41,0.001000000000000000020816681712
1148,1148_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1433,1,0.9989999999999999991118215803,6,0.100000000000000005551115123126
1149,1149_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1352,1,0.768121782323137658465839194832,39,0.100000000000000005551115123126
1150,1150_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1445,1,0.9989999999999999991118215803,7,0.100000000000000005551115123126
1151,1151_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1356,1,0.819594664897933533609375444939,39,0.005000000000000000104083408559
1152,1100_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1423,1,0.9989999999999999991118215803,6,0.100000000000000005551115123126
1153,1153_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1317,1,0.821499275547257101770526332984,39,0.001000000000000000020816681712
1154,1154_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1428,1,0.9989999999999999991118215803,6,0.100000000000000005551115123126
1155,1155_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1451,1,0.9989999999999999991118215803,1,0.100000000000000005551115123126
1156,1156_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1334,1,0.812130849841801727428958201926,38,0.005000000000000000104083408559
1157,1154_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1428,1,0.9989999999999999991118215803,6,0.100000000000000005551115123126
1158,1158_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1429,1,0.9989999999999999991118215803,2,0.100000000000000005551115123126
1159,1159_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1353,1,0.781688287406812509772180419532,38,0.100000000000000005551115123126
1160,1076_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1431,1,0.9989999999999999991118215803,6,0.100000000000000005551115123126
1161,1161_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1324,1,0.814304277937602849490872358729,38,0.005000000000000000104083408559
1162,1162_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1432,1,0.9989999999999999991118215803,6,0.100000000000000005551115123126
1163,1163_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1404,1,0.9989999999999999991118215803,8,0.005000000000000000104083408559
1164,1164_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1328,1,0.843604911475009933141677720414,39,0.001000000000000000020816681712
1165,1165_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1429,1,0.9989999999999999991118215803,5,0.100000000000000005551115123126
1166,1166_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1327,1,0.839673132900067509254427022825,39,0.005000000000000000104083408559
1167,1167_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1442,1,0.9989999999999999991118215803,5,0.005000000000000000104083408559
1168,1168_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1329,1,0.83813112799114208861794850236,39,0.001000000000000000020816681712
1169,1076_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1431,1,0.9989999999999999991118215803,6,0.100000000000000005551115123126
1170,1170_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1410,1,0.9989999999999999991118215803,8,0.005000000000000000104083408559
1171,1171_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1325,1,0.822491963310987395097129137866,40,0.001000000000000000020816681712
1172,1103_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1436,1,0.9989999999999999991118215803,5,0.100000000000000005551115123126
1173,1173_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1327,1,0.858822183008609463250593307748,39,0.001000000000000000020816681712
1174,1174_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1462,1,0.9989999999999999991118215803,5,0.100000000000000005551115123126
1175,1175_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1444,1,0.9989999999999999991118215803,1,0.100000000000000005551115123126
1176,1176_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1317,1,0.831698574592749317879736281611,39,0.001000000000000000020816681712
1177,1177_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1412,1,0.9989999999999999991118215803,6,0.100000000000000005551115123126
1178,1178_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1511,1,0.9989999999999999991118215803,1,0.100000000000000005551115123126
1179,1179_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1445,1,0.9989999999999999991118215803,8,0.005000000000000000104083408559
1180,1180_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1459,1,0.9989999999999999991118215803,2,0.005000000000000000104083408559
1181,1181_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1327,1,0.877445676462027646103081224283,40,0.001000000000000000020816681712
1182,1182_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1417,1,0.9989999999999999991118215803,7,0.005000000000000000104083408559
1183,1183_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1332,1,0.769934931627063057213433694415,39,0.001000000000000000020816681712
1184,1184_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1442,1,0.9989999999999999991118215803,6,0.100000000000000005551115123126
1185,1185_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1302,1,0.862893115798228138579872847913,39,0.001000000000000000020816681712
1186,1186_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1300,1,0.9989999999999999991118215803,6,0.005000000000000000104083408559
1187,1187_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1443,1,0.9989999999999999991118215803,5,0.100000000000000005551115123126
1188,1188_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1315,1,0.869725672706246677456931593042,39,0.001000000000000000020816681712
1189,1167_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1442,1,0.9989999999999999991118215803,5,0.005000000000000000104083408559
1190,1190_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.239999999999999991118215802999,1105,1632,1831,0.9989999999999999991118215803,29,0.100000000000000005551115123126
1191,1191_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1296,1,0.853089844264941610241237412993,39,0.001000000000000000020816681712
1192,1126_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1434,1,0.9989999999999999991118215803,5,0.100000000000000005551115123126
1193,1193_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1317,1,0.886044583144391939555362114334,40,0.001000000000000000020816681712
1194,1194_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1469,1,0.9989999999999999991118215803,5,0.100000000000000005551115123126
1195,1195_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1324,1,0.844211716259428701647493653581,40,0.001000000000000000020816681712
1196,1196_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1385,1,0.9989999999999999991118215803,6,0.005000000000000000104083408559
1197,1197_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1435,1,0.9989999999999999991118215803,5,0.100000000000000005551115123126
1198,1198_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1402,1,0.9989999999999999991118215803,8,0.005000000000000000104083408559
1199,1199_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1303,1,0.866240894532978478181917125767,40,0.001000000000000000020816681712
1200,1200_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1440,1,0.9989999999999999991118215803,6,0.005000000000000000104083408559
1201,1201_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1311,1,0.851785109886073588114641097491,40,0.001000000000000000020816681712
1202,1041_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1439,1,0.9989999999999999991118215803,6,0.100000000000000005551115123126
1203,1203_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4408,1,0.001000000000000000020816681712,36,0.025000000000000001387778780781
1204,1204_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1430,1,0.9989999999999999991118215803,5,0.100000000000000005551115123126
1205,1205_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1412,1,0.9989999999999999991118215803,9,0.005000000000000000104083408559
1206,1206_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1439,1,0.9989999999999999991118215803,3,0.100000000000000005551115123126
1207,1198_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1402,1,0.9989999999999999991118215803,8,0.005000000000000000104083408559
1208,1208_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1320,1,0.900384324432872196197763514647,40,0.001000000000000000020816681712
1209,1209_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1442,1,0.9989999999999999991118215803,5,0.100000000000000005551115123126
1210,1210_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.25,998,4463,1989,0.226007366411098920000455336776,20,0.25
1211,1209_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1442,1,0.9989999999999999991118215803,5,0.100000000000000005551115123126
1212,1212_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1424,1,0.9989999999999999991118215803,7,0.005000000000000000104083408559
1213,1213_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1311,1,0.861202903719500589829749515047,40,0.001000000000000000020816681712
1214,1214_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.489999999999999991118215802999,5815,1461,165,0.9989999999999999991118215803,10,0.005000000000000000104083408559
1215,1215_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.489999999999999991118215802999,6722,1395,150,0.9989999999999999991118215803,38,0.001000000000000000020816681712
1216,1216_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.400000000000000022204460492503,1919,4471,538,0.9989999999999999991118215803,9,0.001000000000000000020816681712
1217,1217_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.040000000000000000832667268469,1203,2114,1874,0.9989999999999999991118215803,5,0.010000000000000000208166817117
1218,1218_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.230000000000000009992007221626,942,4708,2222,0.9989999999999999991118215803,26,0.050000000000000002775557561563
1219,1219_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.179999999999999993338661852249,914,4784,3626,0.762607877415813040222758445452,44,0.010000000000000000208166817117
1220,1220_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.409999999999999975575093458247,2033,4526,502,0.900279312023803512943231908139,38,0.025000000000000001387778780781
1221,1221_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1428,1,0.9989999999999999991118215803,7,0.100000000000000005551115123126
1222,1222_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1464,1,0.001000000000000000020816681712,48,0.100000000000000005551115123126
1223,1223_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.390000000000000013322676295502,1947,4516,573,0.9989999999999999991118215803,50,0.25
1224,1224_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1422,1,0.001000000000000000020816681712,50,0.005000000000000000104083408559
1225,1225_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.380000000000000004440892098501,2074,4301,615,0.9989999999999999991118215803,39,0.005000000000000000104083408559
1226,1226_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1314,33,0.001000000000000000020816681712,38,0.001000000000000000020816681712
1227,1227_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1361,1,0.9989999999999999991118215803,41,0.001000000000000000020816681712
1228,1228_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.44000000000000000222044604925,3512,4401,360,0.9989999999999999991118215803,50,0.25
1229,1229_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.380000000000000004440892098501,1507,3322,505,0.001000000000000000020816681712,19,0.010000000000000000208166817117
1230,1230_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2155,1,0.001000000000000000020816681712,2,0.010000000000000000208166817117
1231,1231_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.450000000000000011102230246252,2795,1394,291,0.9989999999999999991118215803,19,0.005000000000000000104083408559
1232,1232_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,900,1507,3986,0.001000000000000000020816681712,50,0.010000000000000000208166817117
1233,1233_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,937,4555,4523,0.9989999999999999991118215803,50,0.25
1234,1234_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.19000000000000000222044604925,885,4213,3488,0.9989999999999999991118215803,1,0.005000000000000000104083408559
1235,1235_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,903,4257,5000,0.9989999999999999991118215803,1,0.005000000000000000104083408559
1236,1236_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.320000000000000006661338147751,1017,4260,1124,0.001000000000000000020816681712,11,0.025000000000000001387778780781
1237,1237_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1439,1,0.67997510920314196969371778323,27,0.005000000000000000104083408559
1238,1238_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1875,1,0.001000000000000000020816681712,18,0.010000000000000000208166817117
1239,1239_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.209999999999999992228438827624,834,4604,2750,0.9989999999999999991118215803,1,0.25
1240,1240_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1433,1,0.661906184464946090173498305376,26,0.005000000000000000104083408559
1241,1241_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.160000000000000003330669073875,1132,5000,4830,0.160243384046608594584171214592,50,0.010000000000000000208166817117
1242,1242_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1456,1,0.672522311609197953607974795887,26,0.005000000000000000104083408559
1243,1243_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.179999999999999993338661852249,910,1436,2768,0.001000000000000000020816681712,50,0.005000000000000000104083408559
1244,1244_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.089999999999999996669330926125,883,798,5000,0.708598253721837045837617097277,50,0.010000000000000000208166817117
1245,1245_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1889,1,0.001000000000000000020816681712,20,0.010000000000000000208166817117
1246,1246_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.160000000000000003330669073875,890,3922,3764,0.9989999999999999991118215803,50,0.025000000000000001387778780781
1247,1247_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.179999999999999993338661852249,1071,4533,3661,0.001000000000000000020816681712,50,0.25
1248,1248_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.220000000000000001110223024625,1192,4422,2409,0.001000000000000000020816681712,1,0.010000000000000000208166817117
1249,1249_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.160000000000000003330669073875,890,5000,4109,0.001000000000000000020816681712,1,0.010000000000000000208166817117
1250,1250_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.209999999999999992228438827624,1032,4782,2829,0.9989999999999999991118215803,50,0.100000000000000005551115123126
1251,1251_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,959,1585,3786,0.001000000000000000020816681712,1,0.010000000000000000208166817117
1252,1252_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.160000000000000003330669073875,1040,853,2125,0.001000000000000000020816681712,50,0.005000000000000000104083408559
1253,1253_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,999,4978,4325,0.9989999999999999991118215803,50,0.010000000000000000208166817117
1254,1254_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.270000000000000017763568394003,962,5000,1599,0.001000000000000000020816681712,1,0.25
1255,1255_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1515,1,0.001000000000000000020816681712,50,0.005000000000000000104083408559
1256,1256_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.200000000000000011102230246252,861,4685,2718,0.504475082313234346464980717428,1,0.010000000000000000208166817117
1257,1257_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1769,1,0.001000000000000000020816681712,37,0.010000000000000000208166817117
1258,1258_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,5000,2076,0.9989999999999999991118215803,50,0.050000000000000002775557561563
1259,1259_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,1296,2640,0.579279401434295793116291406477,1,0.025000000000000001387778780781</pre>
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<h1><img class='invert_icon' src='i/terminal.svg' style='height: 1em' /> Errors</h1>
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<pre id='simple_pre_tab_tab_errors'><span style="background-color: black; color: white;">
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5026632/5026632_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5026638/5026638_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5026639/5026639_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5026680/5026680_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5026683/5026683_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5026686/5026686_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5026688/5026688_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5026689/5026689_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5026690/5026690_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5026691/5026691_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5026693/5026693_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5026695/5026695_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5026696/5026696_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5026698/5026698_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5026699/5026699_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5026701/5026701_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5026702/5026702_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5026703/5026703_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5026707/5026707_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5026710/5026710_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5026711/5026711_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5026712/5026712_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5026713/5026713_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5026714/5026714_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5026715/5026715_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5026716/5026716_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5026718/5026718_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5026724/5026724_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5026729/5026729_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5026730/5026730_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5026732/5026732_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5026734/5026734_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5026735/5026735_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5026736/5026736_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5026738/5026738_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5026741/5026741_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5026742/5026742_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5026744/5026744_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5026746/5026746_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5026748/5026748_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5026754/5026754_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5026758/5026758_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5026759/5026759_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5026763/5026763_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5026764/5026764_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5026827/5026827_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5026828/5026828_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5026829/5026829_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5026830/5026830_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5026831/5026831_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5026832/5026832_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5026889/5026889_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5026890/5026890_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5026892/5026892_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5026897/5026897_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5026902/5026902_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5026904/5026904_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5026908/5026908_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5026910/5026910_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5026912/5026912_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5026913/5026913_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5026914/5026914_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5026917/5026917_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5026922/5026922_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5026924/5026924_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5026925/5026925_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5026926/5026926_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5026927/5026927_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5026929/5026929_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5026930/5026930_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5026931/5026931_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5026932/5026932_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5026933/5026933_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5026934/5026934_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5026938/5026938_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5026939/5026939_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5026943/5026943_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5026946/5026946_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5026949/5026949_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5026952/5026952_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5026953/5026953_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5026954/5026954_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5026958/5026958_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5026959/5026959_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5026960/5026960_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5026961/5026961_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5026963/5026963_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5026965/5026965_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5026969/5026969_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5026971/5026971_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5026973/5026973_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5026975/5026975_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5026979/5026979_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5026981/5026981_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5026983/5026983_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5026985/5026985_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5026986/5026986_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5026996/5026996_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5026998/5026998_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5027000/5027000_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5027002/5027002_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5027005/5027005_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5027006/5027006_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5027007/5027007_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5027009/5027009_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5027012/5027012_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5027013/5027013_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5027014/5027014_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5027016/5027016_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5027018/5027018_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5027021/5027021_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5027024/5027024_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5027028/5027028_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5027033/5027033_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5027037/5027037_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5027049/5027049_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5027052/5027052_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5027057/5027057_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5027076/5027076_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5027078/5027078_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5027158/5027158_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5027219/5027219_0_log.err not found
⚠ Job 5027133 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5027133/5027133_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5027133/5027133_0_log.out
----------------------------------------
submitit INFO (2025-05-12 22:18:51,273) - Starting with JobEnvironment(job_id=5027133, hostname=i7186, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-05-12 22:18:51,294) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5027133/5027133_submitted.pkl
slurmstepd: error: *** JOB 5027133 ON i7186 CANCELLED AT 2025-05-13T00:18:50 DUE TO TIME LIMIT ***
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5027133/5027133_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5027323/5027323_0_log.err not found
⚠ Job 5027228 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5027228/5027228_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5027228/5027228_0_log.out
----------------------------------------
submitit INFO (2025-05-12 23:51:54,304) - Starting with JobEnvironment(job_id=5027228, hostname=i7186, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-05-12 23:51:54,314) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5027228/5027228_submitted.pkl
slurmstepd: error: *** JOB 5027228 ON i7186 CANCELLED AT 2025-05-13T01:51:52 DUE TO TIME LIMIT ***
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5027228/5027228_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5027453/5027453_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5027473/5027473_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5027494/5027494_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5027502/5027502_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5027512/5027512_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5027521/5027521_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5027546/5027546_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5027554/5027554_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5027568/5027568_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5027576/5027576_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5027584/5027584_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5027595/5027595_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5027609/5027609_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5027617/5027617_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5027637/5027637_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5027649/5027649_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5027659/5027659_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5027671/5027671_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5027679/5027679_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5027691/5027691_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5027699/5027699_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5027709/5027709_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5027721/5027721_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5027730/5027730_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5027742/5027742_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5027751/5027751_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5027759/5027759_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5027775/5027775_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5027782/5027782_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5027795/5027795_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5027803/5027803_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5027822/5027822_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5027833/5027833_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5027843/5027843_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5027852/5027852_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5027863/5027863_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5027870/5027870_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5027883/5027883_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5027897/5027897_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5027905/5027905_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5027916/5027916_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5027928/5027928_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5027938/5027938_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5027948/5027948_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5027959/5027959_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5027968/5027968_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5027977/5027977_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5027987/5027987_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5027997/5027997_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5028012/5028012_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5028023/5028023_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5028033/5028033_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5028041/5028041_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5028054/5028054_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5028078/5028078_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5028088/5028088_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5028101/5028101_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5028117/5028117_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5028128/5028128_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5028142/5028142_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5028153/5028153_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5028166/5028166_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5028176/5028176_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5028197/5028197_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5028211/5028211_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5028224/5028224_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5028233/5028233_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5028255/5028255_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5028270/5028270_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5028285/5028285_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5028295/5028295_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5028306/5028306_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5028318/5028318_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5028327/5028327_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5028340/5028340_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5028352/5028352_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5028359/5028359_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5028368/5028368_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5028375/5028375_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5028385/5028385_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5028394/5028394_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5028407/5028407_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5028536/5028536_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5028576/5028576_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5028586/5028586_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5028595/5028595_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5028607/5028607_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5028614/5028614_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5028624/5028624_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5028635/5028635_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5028643/5028643_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5028655/5028655_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5028660/5028660_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5028669/5028669_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5028682/5028682_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5028694/5028694_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5028869/5028869_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5028882/5028882_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5028892/5028892_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5028902/5028902_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5028911/5028911_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5028923/5028923_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5028933/5028933_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5028945/5028945_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5028954/5028954_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5028964/5028964_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5028988/5028988_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5028996/5028996_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5029006/5029006_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5029015/5029015_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5029024/5029024_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5029035/5029035_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5029047/5029047_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5029056/5029056_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5029064/5029064_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5029075/5029075_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5029084/5029084_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5029092/5029092_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5029100/5029100_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5029107/5029107_0_log.err not found
⚠ Job 5028976 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5028976/5028976_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5028976/5028976_0_log.out
----------------------------------------
submitit INFO (2025-05-13 18:49:09,526) - Starting with JobEnvironment(job_id=5028976, hostname=i7186, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-05-13 18:49:09,529) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5028976/5028976_submitted.pkl
slurmstepd: error: *** JOB 5028976 ON i7186 CANCELLED AT 2025-05-13T20:49:27 DUE TO TIME LIMIT ***
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5028976/5028976_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5029117/5029117_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5029122/5029122_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5029135/5029135_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5029140/5029140_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/5029149/5029149_0_log.err not found
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</span></pre><button class='copy_clipboard_button' onclick='copy_to_clipboard_from_id("simple_pre_tab_tab_errors")'><img src='i/clipboard.svg' style='height: 1em'> Copy raw data to clipboard</button>
<button onclick='download_as_file("simple_pre_tab_tab_errors", "oo_errors.txt")'><img src='i/download.svg' style='height: 1em'> Download »oo_errors.txt« as file</button>
<h1><img class='invert_icon' src='i/table.svg' style='height: 1em' /> Args Overview</h1>
<h2>Arguments Overview: </h2><table cellspacing="0" cellpadding="5"><thead><tr><th> Key</th><th>Value </th></tr></thead><tbody><tr><td> config_yaml</td><td>None </td></tr><tr><td> config_toml</td><td>None </td></tr><tr><td> config_json</td><td>None </td></tr><tr><td> num_random_steps</td><td>20 </td></tr><tr><td> max_eval</td><td>50000 </td></tr><tr><td> run_program</td><td>None </td></tr><tr><td> experiment_name</td><td>None </td></tr><tr><td> mem_gb</td><td>32 </td></tr><tr><td> parameter</td><td>None </td></tr><tr><td> continue_previous_job</td><td>/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_SensorStream_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/ </td></tr><tr><td> experiment_constraints</td><td>None </td></tr><tr><td> run_dir</td><td>runs </td></tr><tr><td> seed</td><td>None </td></tr><tr><td> decimalrounding</td><td>4 </td></tr><tr><td> enforce_sequential_optimization</td><td>False </td></tr><tr><td> verbose_tqdm</td><td>False </td></tr><tr><td> model</td><td>None </td></tr><tr><td> gridsearch</td><td>False </td></tr><tr><td> occ</td><td>False </td></tr><tr><td> show_sixel_scatter</td><td>False </td></tr><tr><td> show_sixel_general</td><td>False </td></tr><tr><td> show_sixel_trial_index_result</td><td>False </td></tr><tr><td> follow</td><td>False </td></tr><tr><td> send_anonymized_usage_stats</td><td>False </td></tr><tr><td> ui_url</td><td>None </td></tr><tr><td> root_venv_dir</td><td>/home/s4122485 </td></tr><tr><td> exclude</td><td>None </td></tr><tr><td> main_process_gb</td><td>8 </td></tr><tr><td> pareto_front_confidence</td><td>1 </td></tr><tr><td> max_nr_of_zero_results</td><td>10 </td></tr><tr><td> abbreviate_job_names</td><td>False </td></tr><tr><td> orchestrator_file</td><td>None </td></tr><tr><td> checkout_to_latest_tested_version</td><td>False </td></tr><tr><td> live_share</td><td>False </td></tr><tr><td> disable_tqdm</td><td>False </td></tr><tr><td> workdir</td><td>False </td></tr><tr><td> occ_type</td><td>euclid </td></tr><tr><td> result_names</td><td>['RESULT=min'] </td></tr><tr><td> minkowski_p</td><td>2 </td></tr><tr><td> signed_weighted_euclidean_weights</td><td></td></tr><tr><td> generation_strategy</td><td>None </td></tr><tr><td> generate_all_jobs_at_once</td><td>False </td></tr><tr><td> revert_to_random_when_seemingly_exhausted</td><td>True </td></tr><tr><td> load_data_from_existing_jobs</td><td>[] </td></tr><tr><td> n_estimators_randomforest</td><td>100 </td></tr><tr><td> external_generator</td><td>None </td></tr><tr><td> username</td><td>None </td></tr><tr><td> max_failed_jobs</td><td>None </td></tr><tr><td> num_parallel_jobs</td><td>50 </td></tr><tr><td> worker_timeout</td><td>120 </td></tr><tr><td> slurm_use_srun</td><td>False </td></tr><tr><td> time</td><td></td></tr><tr><td> partition</td><td></td></tr><tr><td> reservation</td><td>None </td></tr><tr><td> force_local_execution</td><td>False </td></tr><tr><td> slurm_signal_delay_s</td><td>0 </td></tr><tr><td> nodes_per_job</td><td>1 </td></tr><tr><td> cpus_per_task</td><td>1 </td></tr><tr><td> account</td><td>None </td></tr><tr><td> gpus</td><td>0 </td></tr><tr><td> run_mode</td><td>local </td></tr><tr><td> verbose</td><td>False </td></tr><tr><td> verbose_break_run_search_table</td><td>False </td></tr><tr><td> debug</td><td>False </td></tr><tr><td> no_sleep</td><td>False </td></tr><tr><td> tests</td><td>False </td></tr><tr><td> show_worker_percentage_table_at_end</td><td>False </td></tr><tr><td> auto_exclude_defective_hosts</td><td>False </td></tr><tr><td> run_tests_that_fail_on_taurus</td><td>False </td></tr><tr><td> raise_in_eval</td><td>False </td></tr><tr><td> show_ram_every_n_seconds</td><td>False </td></tr></tbody></table>
<h1><img class='invert_icon' src='i/plot.svg' style='height: 1em' /> Worker-Usage</h1>
<div class='invert_in_dark_mode' id='workerUsagePlot'></div><button class='copy_clipboard_button' onclick='copy_to_clipboard_from_id("pre_tab_worker_usage")'><img src='i/clipboard.svg' style='height: 1em'> Copy raw data to clipboard</button>
<button onclick='download_as_file("pre_tab_worker_usage", "worker_usage.csv")'><img src='i/download.svg' style='height: 1em'> Download »worker_usage.csv« as file</button>
<pre id="pre_tab_worker_usage">1747050909.5044847,50,0,0
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1747173769.8576252,50,1,2
1747174245.1561618,50,1,2
1747174245.5942338,50,1,2
1747174247.20843,50,2,4
1747174247.7782354,50,2,4
1747174266.9207792,50,1,2
1747174267.1436431,50,1,2
1747174774.4040372,50,1,2
1747174775.173315,50,1,2
1747174777.0923693,50,2,4
1747174777.649906,50,2,4
1747174797.602857,50,1,2
1747174797.900949,50,1,2
1747175282.6240819,50,1,2
1747175283.1456926,50,1,2
1747175285.0988393,50,2,4
1747175285.6932797,50,2,4
1747175304.6935647,50,1,2
1747175304.8025568,50,1,2
1747175795.8455126,50,1,2
1747175796.142561,50,1,2
1747175797.5812905,50,2,4
1747175797.888335,50,2,4
1747175815.9523237,50,1,2
1747175816.1247935,50,1,2
1747176305.4720879,50,1,2
1747176306.1597145,50,1,2
1747176307.8020318,50,2,4
1747176324.3535836,50,2,4
1747176821.8176253,50,2,4
1747176822.1160574,50,2,4
1747176823.547413,50,3,6
1747176830.1426387,50,3,6
1747176848.507333,50,2,4
1747176848.5978243,50,2,4
1747177288.3787272,50,2,4
1747177289.1755185,50,2,4
1747177291.1432047,50,3,6
1747177292.4900167,50,3,6
1747177301.2702122,50,2,4
1747177322.4639401,50,1,2
1747177322.9024403,50,1,2
1747177835.62433,50,1,2
1747177836.09437,50,1,2
1747177837.7777474,50,2,4
1747177838.4811704,50,2,4
1747177858.4084878,50,1,2
1747177858.5126448,50,1,2
1747178387.8319607,50,1,2
1747178388.4018667,50,1,2
1747178390.3542564,50,2,4
1747178391.0548692,50,2,4
1747178410.9034498,50,1,2
1747178411.006711,50,1,2
1747178935.4859793,50,1,2
1747178936.2657506,50,1,2
1747178938.285506,50,2,4
1747178938.9813912,50,2,4
1747178958.8122745,50,1,2
1747178958.931418,50,1,2
1747179483.8703105,50,1,2
1747179484.4936185,50,1,2
1747179486.3047645,50,2,4
1747179487.0415237,50,2,4
1747179509.8290334,50,1,2
1747179509.9423492,50,1,2
1747180014.900318,50,1,2
1747180015.4284592,50,1,2
1747180017.2448823,50,2,4
1747180017.8726897,50,2,4
1747180037.3820589,50,1,2
1747180037.8422267,50,1,2
1747180560.750363,50,1,2
1747180561.3566666,50,1,2
1747180563.3236375,50,2,4
1747180564.081426,50,2,4
1747180584.0078294,50,1,2
1747180584.1133642,50,1,2
1747181091.1853034,50,1,2
1747181091.7496684,50,1,2
1747181093.384332,50,2,4
1747181094.0942206,50,2,4
1747181114.093699,50,1,2
1747181114.190287,50,1,2
1747181601.3930109,50,1,2
1747181602.220336,50,1,2
1747181604.1715555,50,2,4
1747181604.9071088,50,2,4
1747181624.2951381,50,1,2
1747181624.7014127,50,1,2
1747182157.348444,50,1,2
1747182158.2461288,50,1,2
1747182160.3259206,50,2,4
1747182161.04295,50,2,4
1747182181.428928,50,1,2
1747182181.5355015,50,1,2
1747182682.0822053,50,1,2
1747182682.7046738,50,1,2
1747182684.5393438,50,2,4
1747182685.2819693,50,2,4
1747182706.4677732,50,1,2
1747182706.5779648,50,1,2
1747183254.7927032,50,1,2
1747183255.2759478,50,1,2
1747183257.0518816,50,2,4
1747183257.3880577,50,2,4
1747183276.6564016,50,1,2
1747183276.8801873,50,1,2
1747183751.3750381,50,1,2
1747183752.2599363,50,1,2
1747183754.3550816,50,2,4
1747183755.0567877,50,2,4
1747183775.9689653,50,1,2
1747183776.0604608,50,1,2
1747184303.2214885,50,1,2
1747184303.8109415,50,1,2
1747184305.468086,50,2,4
1747184306.2148647,50,2,4
1747184327.5387487,50,1,2
1747184327.6657226,50,1,2
1747184837.3158011,50,1,2
1747184839.6694329,50,1,2
1747184841.49163,50,2,4
1747184842.229375,50,2,4
1747184863.322266,50,1,2
1747184863.8048215,50,1,2
1747185380.5161784,50,1,2
1747185381.2725945,50,1,2
1747185383.3088682,50,2,4
1747185384.0138998,50,2,4
1747185403.6358032,50,1,2
1747185403.747487,50,1,2
1747185880.9026604,50,1,2
1747185881.4774945,50,1,2
1747185883.3406627,50,2,4
1747185884.0651069,50,2,4
1747185904.6627102,50,1,2
1747185904.8813586,50,1,2
1747186409.7987392,50,1,2
1747186410.2563744,50,1,2
1747186413.1912324,50,2,4
1747186413.8667028,50,2,4
1747186434.4069226,50,1,2
1747186434.516288,50,1,2
1747186917.4099264,50,1,2
1747186918.224232,50,1,2
1747186920.1707246,50,2,4
1747186937.100366,50,2,4
1747187441.3494625,50,2,4
1747187442.142199,50,2,4
1747187443.8353662,50,3,6
1747187450.2409348,50,3,6
1747187471.00232,50,2,4
1747187471.0899777,50,2,4
1747187969.1208272,50,2,4
1747187969.6741507,50,2,4
1747187971.37086,50,3,6
1747187972.582211,50,3,6
1747187981.0327232,50,2,4
1747188001.9030926,50,1,2
1747188002.1022072,50,1,2
1747188573.433367,50,1,2
1747188574.430563,50,1,2
1747188576.152351,50,2,4
1747188576.53341,50,2,4
1747188595.9823167,50,1,2
1747188596.0678427,50,1,2
1747189094.4815683,50,1,2
1747189095.243944,50,1,2
1747189097.1817815,50,2,4
1747189114.8436544,50,2,4
1747189607.6555092,50,2,4
1747189608.1811624,50,2,4
1747189609.8631623,50,3,6
1747189632.8452733,50,3,6
1747189929.3387828,50,3,6
1747189930.1486852,50,3,6
1747189931.8654308,50,4,8
1747189960.474167,50,4,8
1747190416.9298744,50,4,8
1747190417.4218946,50,4,8
1747190419.2329977,50,5,10
1747190453.1652374,50,5,10
1747190915.2469907,50,5,10
1747190915.6337428,50,5,10
1747190917.105598,50,6,12
1747190956.1023815,50,6,12
1747191367.1849515,50,6,12
1747191367.560313,50,6,12
1747191369.1195455,50,7,14
1747191386.6231096,50,7,14
1747191394.9387386,50,6,12
1747191417.6713157,50,5,10
1747191417.77402,50,5,10
1747191929.8218348,50,5,10
1747191930.225981,50,5,10
1747191932.050692,50,6,12
1747191944.2420175,50,6,12
1747191952.9560485,50,5,10
1747191966.848316,50,4,8
1747191980.5093148,50,3,6
1747191980.8615923,50,3,6
1747192415.4559247,50,3,6
1747192416.0789602,50,3,6
1747192417.6284316,50,4,8
1747192445.5560868,50,4,8
1747192856.086194,50,4,8
1747192856.4787147,50,4,8
1747192858.2156115,50,5,10
1747192875.353388,50,5,10
1747192895.121644,50,4,8
1747192895.2940817,50,4,8
1747193293.3858554,50,4,8
1747193294.1240153,50,4,8
1747193295.6730273,50,5,10
1747193318.7754748,50,5,10
1747193333.4235282,50,4,8
1747193333.8620718,50,4,8
1747193705.574502,50,4,8
1747193705.9503508,50,4,8
1747193707.3360372,50,5,10
1747193718.4235563,50,5,10
1747193742.496171,50,4,8
1747193742.6039186,50,4,8
1747194179.6474662,50,4,8
1747194180.1352887,50,4,8
1747194181.7122712,50,5,10
1747194215.9073071,50,5,10
1747194776.963353,50,5,10
1747194777.4795284,50,5,10
1747194779.2082818,50,6,12
1747194780.3240907,50,6,12
1747194806.0155861,50,5,10
1747194814.7682137,50,4,8
1747194829.5037658,50,3,6
1747194829.8546782,50,3,6
1747195363.4764173,50,3,6
1747195364.1753488,50,3,6
1747195366.028141,50,4,8
1747195373.6814396,50,4,8
1747195398.0579832,50,3,6
1747195398.1659808,50,3,6
1747196009.001764,50,3,6
1747196009.440329,50,3,6
1747196011.2309623,50,4,8
1747196012.3290958,50,4,8
1747196021.7855358,50,3,6
1747196046.011043,50,2,4
1747196046.1112895,50,2,4
1747196577.473982,50,2,4
1747196578.142645,50,2,4
1747196579.703258,50,3,6
1747196603.3532155,50,3,6
1747197218.8044176,50,3,6
1747197219.0694165,50,3,6
1747197220.4762452,50,4,8
1747197231.7728052,50,4,8
1747197252.0232027,50,3,6
1747197252.182842,50,3,6
1747197727.7771325,50,3,6
1747197728.2203572,50,3,6
1747197730.119561,50,4,8
1747197736.6452622,50,4,8
1747197760.253021,50,3,6
1747197760.4223707,50,3,6
1747198333.6972902,50,3,6
1747198334.155057,50,3,6
1747198336.063593,50,4,8
1747198365.1945422,50,4,8
1747198847.2330496,50,4,8
1747198847.54125,50,4,8
1747198849.0425491,50,5,10
1747198860.56483,50,5,10
1747198883.9968355,50,4,8
1747198884.1539783,50,4,8
</pre><button class='copy_clipboard_button' onclick='copy_to_clipboard_from_id("pre_tab_worker_usage")'><img src='i/clipboard.svg' style='height: 1em'> Copy raw data to clipboard</button>
<button onclick='download_as_file("pre_tab_worker_usage", "worker_usage.csv")'><img src='i/download.svg' style='height: 1em'> Download »worker_usage.csv« as file</button>
<h1><img class='invert_icon' src='i/cpu.svg' style='height: 1em' /> 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")'><img src='i/clipboard.svg' style='height: 1em'> Copy raw data to clipboard</button>
<button onclick='download_as_file("pre_tab_main_worker_cpu_ram", "cpu_ram_usage.csv")'><img src='i/download.svg' style='height: 1em'> Download »cpu_ram_usage.csv« as file</button>
<pre id="pre_tab_main_worker_cpu_ram">timestamp,ram_usage_mb,cpu_usage_percent
1747050909,652.453125,3.1
1747050909,652.453125,3.4
1747050909,652.69921875,2.9
1747050909,652.69921875,2.2
1747050909,652.69921875,2.2
1747050909,652.69921875,3.1
1747050909,652.69921875,4.4
1747056742,757.8203125,4.2
1747056742,757.8203125,4.8
1747056743,757.8203125,4.6
1747056743,757.8203125,3.1
1747063700,768.65625,11.1
1747063700,768.65625,3.7
1747063700,768.65625,4.0
1747063700,768.65625,5.7
1747071536,781.39453125,5.5
1747071536,781.39453125,9.5
1747071536,781.39453125,9.1
1747071536,781.39453125,8.7
1747093059,805.51171875,11.8
1747093059,805.51171875,16.8
1747093059,805.51171875,16.4
1747093059,805.51171875,14.7
1747122763,812.859375,17.3
1747122763,812.859375,18.4
1747122764,812.859375,17.4
1747122764,812.859375,20.3
1747147987,810.89453125,17.1
1747147987,810.89453125,18.5
1747147987,810.89453125,18.5
1747147987,810.89453125,20.4
1747172668,816.95703125,16.7
1747172668,816.95703125,17.6
1747172668,816.95703125,17.0
1747172668,816.95703125,22.2
1747198912,842.71484375,17.1
1747198912,842.71484375,15.8
1747198912,842.71484375,16.4
1747198912,842.71484375,20.5
</pre><button class='copy_clipboard_button' onclick='copy_to_clipboard_from_id("pre_tab_main_worker_cpu_ram")'><img src='i/clipboard.svg' style='height: 1em'> Copy raw data to clipboard</button>
<button onclick='download_as_file("pre_tab_main_worker_cpu_ram", "cpu_ram_usage.csv")'><img src='i/download.svg' style='height: 1em'> Download »cpu_ram_usage.csv« as file</button>
<h1><img class='invert_icon' src='i/plot.svg' style='height: 1em' /> Param-Distrib by Status</h1>
<div class='invert_in_dark_mode' id='parameter_by_status_distribution'></div>
<h1><img class='invert_icon' src='i/insights.svg' style='height: 1em' /> Insights</h1>
<h2>Visualization for result: <code>ACCURACY</code> (goal: <b>maximize</b>)</h2><p>Best value: <b>0.49</b><br />
Achieved at:<br />
- <code>RUNTIME</code> = 5815<br />
- <code>recent_samples_size</code> = 1461<br />
- <code>n_samples</code> = 165<br />
- <code>feature_proportion</code> = 0.999<br />
- <code>n_clusters</code> = 10<br />
- <code>confidence</code> = 0.005</p><div class="result_parameter_visualization" data-resname="ACCURACY"></div><h2>Visualization for result: <code>RUNTIME</code> (goal: <b>minimize</b>)</h2><p>Best value: <b>673</b><br />
Achieved at:<br />
- <code>ACCURACY</code> = 0.05<br />
- <code>recent_samples_size</code> = 1<br />
- <code>n_samples</code> = 5000<br />
- <code>feature_proportion</code> = 0.001<br />
- <code>n_clusters</code> = 1<br />
- <code>confidence</code> = 0.025</p><div class="result_parameter_visualization" data-resname="RUNTIME"></div><h2>Parameter statistics</h2><table border='1' cellpadding='5' cellspacing='0'><thead><tr><th>Parameter</th><th>Min</th><th>Max</th><th>Mean</th><th>Std Dev</th><th>Count</th></tr></thead><tbody><tr><td>generation_method</td><td colspan='5' style='text-align:center;'>No numerical statistics available</td></tr><tr><td>ACCURACY</td><td>0.04</td><td>0.49</td><td>0.2566</td><td>0.1087</td><td>194</td></tr><tr><td>RUNTIME</td><td>673</td><td>6722</td><td>1274.134</td><td>761.9617</td><td>194</td></tr><tr><td>recent_samples_size</td><td>1</td><td>5000</td><td>1888.7548</td><td>945.1272</td><td>1260</td></tr><tr><td>n_samples</td><td>1</td><td>5000</td><td>290.4833</td><td>872.393</td><td>1260</td></tr><tr><td>feature_proportion</td><td>0.001</td><td>0.999</td><td>0.5344</td><td>0.4566</td><td>1260</td></tr><tr><td>n_clusters</td><td>1</td><td>50</td><td>26.269</td><td>10.8432</td><td>1260</td></tr><tr><td>confidence</td><td>0.001</td><td>0.25</td><td>0.0388</td><td>0.0662</td><td>1260</td></tr></tbody></table>
<h1><img class='invert_icon' src='i/plot.svg' style='height: 1em' /> Parallel Plot</h1>
<input type="checkbox" id="enable_slurm_id_if_exists" onchange="createParallelPlot(tab_results_csv_json, tab_results_headers_json, result_names, special_col_names, true)" /> Show SLURM-Job-ID (if it exists)<br><div class="invert_in_dark_mode" id="parallel-plot"></div>
<h1><img class='invert_icon' src='i/scatter.svg' style='height: 1em' /> Scatter-2D</h1>
<div class='invert_in_dark_mode' id='plotScatter2d'></div>
<h1><img class='invert_icon' src='i/scatter.svg' style='height: 1em' /> Scatter-3D</h1>
<div class='invert_in_dark_mode' id='plotScatter3d'></div>
<h1><img class='invert_icon' src='i/plot.svg' style='height: 1em' /> Job Status Distribution</h1>
<div class="invert_in_dark_mode" id="plotJobStatusDistribution"></div>
<h1><img class='invert_icon' src='i/plot.svg' style='height: 1em' /> Boxplots</h1>
<div class="invert_in_dark_mode" id="plotBoxplot"></div>
<h1><img class='invert_icon' src='i/violin.svg' style='height: 1em' /> Violin</h1>
<div class="invert_in_dark_mode" id="plotViolin"></div>
<h1><img class='invert_icon' src='i/plot.svg' style='height: 1em' /> Histogram</h1>
<div class="invert_in_dark_mode" id="plotHistogram"></div>
<h1><img class='invert_icon' src='i/plot.svg' style='height: 1em' /> 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>
<h1><img class='invert_icon' src='i/scatter.svg' style='height: 1em' /> Result-Pairs</h1>
<div class="invert_in_dark_mode" id="plotResultPairs"></div>
<h1><img class='invert_icon' src='i/evolution.svg' style='height: 1em' /> Evolution</h1>
<div class="invert_in_dark_mode" id="plotResultEvolution"></div>
</body>
</html>
Job-Infos