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,0.350000000000000033306690738755,25,181,3860,0.822555312514305136950554242503,33,0.050000000000000002775557561563
1,1_0,COMPLETED,Sobol,SOBOL,0.540000000000000035527136788005,57,2932,1704,0.148036698935553434619549761919,15,0.25
2,2_0,COMPLETED,Sobol,SOBOL,0.550000000000000044408920985006,63,4834,2997,0.252346722556278102445048716618,6,0.001000000000000000020816681712
3,3_0,COMPLETED,Sobol,SOBOL,0.520000000000000017763568394003,45,2038,231,0.71617473379708829206435893866,48,0.005000000000000000104083408559
4,4_0,COMPLETED,Sobol,SOBOL,0.520000000000000017763568394003,72,1522,3433,0.013702073752880097184947416622,10,0.001000000000000000020816681712
5,5_0,COMPLETED,Sobol,SOBOL,0.609999999999999986677323704498,145,4118,1193,0.953326972957700524702318034542,43,0.005000000000000000104083408559
6,6_0,COMPLETED,Sobol,SOBOL,0.460000000000000019984014443253,56,3509,4752,0.568314072351902677127100105281,27,0.005000000000000000104083408559
7,7_0,COMPLETED,Sobol,SOBOL,0.520000000000000017763568394003,70,871,1913,0.400785573139786743812607028303,19,0.050000000000000002775557561563
8,8_0,COMPLETED,Sobol,SOBOL,0.5,65,1034,2677,0.626035108476877266703297664208,24,0.001000000000000000020816681712
9,9_0,COMPLETED,Sobol,SOBOL,0.609999999999999986677323704498,179,3355,540,0.341606548991054304043046840889,29,0.050000000000000002775557561563
10,10_0,COMPLETED,Sobol,SOBOL,0.479999999999999982236431605997,62,3959,4179,0.198122332345694290856030761461,39,0.25
11,11_0,COMPLETED,Sobol,SOBOL,0.589999999999999968913755310496,108,1671,1394,0.771347163841128335981522923248,9,0.010000000000000000208166817117
12,12_0,COMPLETED,Sobol,SOBOL,0.359999999999999986677323704498,29,2192,4438,0.44412985041178765222014135361,47,0.025000000000000001387778780781
13,13_0,COMPLETED,Sobol,SOBOL,0.570000000000000062172489379009,89,4671,2218,0.525857446042820808607132221368,2,0.010000000000000000208166817117
14,14_0,COMPLETED,Sobol,SOBOL,0.410000000000000031086244689504,35,2783,3747,0.887639202101156099544709832116,17,0.100000000000000005551115123126
15,15_0,COMPLETED,Sobol,SOBOL,0.520000000000000017763568394003,70,339,889,0.080520196149125700113557968507,38,0.25
16,16_0,COMPLETED,Sobol,SOBOL,0.419999999999999984456877655248,44,543,3577,0.985878579951822708871134182118,35,0.010000000000000000208166817117
17,17_0,COMPLETED,Sobol,SOBOL,0.589999999999999968913755310496,105,2597,734,0.046448975149542097440313881407,18,0.005000000000000000104083408559
18,18_0,COMPLETED,Sobol,SOBOL,0.489999999999999991118215802999,68,4483,4607,0.431385555941611542607461160515,3,0.100000000000000005551115123126
19,19_0,COMPLETED,Sobol,SOBOL,0.44000000000000000222044604925,62,2396,2372,0.599115052722394514361781148182,45,0.050000000000000002775557561563
20,20_0,COMPLETED,Sobol,SOBOL,0.479999999999999982236431605997,93,1858,4317,0.177847689228132377348146064833,8,0.050000000000000002775557561563
21,21_0,COMPLETED,Sobol,SOBOL,0.579999999999999960031971113494,170,3754,1557,0.852196095457300573094983064948,41,0.025000000000000001387778780781
22,22_0,COMPLETED,Sobol,SOBOL,0.5,103,3152,2539,0.747931578194722557206830515497,32,0.25
23,23_0,COMPLETED,Sobol,SOBOL,0.619999999999999995559107901499,299,1220,378,0.28393909344263373872863098768,24,0.001000000000000000020816681712
24,24_0,COMPLETED,Sobol,SOBOL,0.410000000000000031086244689504,42,744,4917,0.555726107465103313920451455488,22,0.25
25,25_0,COMPLETED,Sobol,SOBOL,0.560000000000000053290705182008,99,3618,2054,0.47371172883175310941439306589,26,0.025000000000000001387778780781
26,26_0,COMPLETED,Sobol,SOBOL,0.540000000000000035527136788005,80,4225,3268,0.112341433530673384666442871094,42,0.050000000000000002775557561563
27,27_0,COMPLETED,Sobol,SOBOL,0.589999999999999968913755310496,158,1397,1053,0.919167953314259600361424418224,13,0.005000000000000000104083408559
28,28_0,COMPLETED,Sobol,SOBOL,0.530000000000000026645352591004,101,1930,2844,0.374094952709972838889029844722,49,0.010000000000000000208166817117
29,29_0,COMPLETED,Sobol,SOBOL,0.589999999999999968913755310496,1133,4959,64,0.65884586748853324333907721666,4,0.001000000000000000020816681712
30,30_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.609999999999999986677323704498,176,1641,818,0.014929985744551047335826332585,50,0.010000000000000000208166817117
31,31_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.609999999999999986677323704498,149,1902,1008,0.001000000000000000020816681712,50,0.050000000000000002775557561563
32,32_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.5,47,3130,2858,0.001000000000000000020816681712,8,0.100000000000000005551115123126
33,33_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.540000000000000035527136788005,61,4385,3038,0.001000000000000000020816681712,1,0.005000000000000000104083408559
34,34_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.369999999999999995559107901499,28,401,4558,0.092634902555904258258934191872,50,0.100000000000000005551115123126
35,35_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,1,0.058891226683714603673536203132,50,0.010000000000000000208166817117
36,36_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.609999999999999986677323704498,139,1854,882,0.001000000000000000020816681712,50,0.100000000000000005551115123126
37,37_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.429999999999999993338661852249,127,2065,849,0.001000000000000000020816681712,50,0.005000000000000000104083408559
38,38_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.489999999999999991118215802999,49,2913,2697,0.001000000000000000020816681712,4,0.050000000000000002775557561563
39,39_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.479999999999999982236431605997,48,3762,4761,0.9989999999999999991118215803,44,0.100000000000000005551115123126
40,40_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.579999999999999960031971113494,104,4173,1543,0.157534273744074720946528600507,1,0.010000000000000000208166817117
41,41_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.450000000000000011102230246252,41,1216,4806,0.9989999999999999991118215803,50,0.005000000000000000104083408559
42,42_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.5,48,4932,4462,0.001000000000000000020816681712,37,0.100000000000000005551115123126
43,43_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.30999999999999999777955395075,23,1,1352,0.120508926629064719304729180749,50,0.010000000000000000208166817117
44,44_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.470000000000000028865798640254,49,4647,3968,0.9989999999999999991118215803,32,0.005000000000000000104083408559
45,45_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.530000000000000026645352591004,67,3474,2134,0.9989999999999999991118215803,1,0.005000000000000000104083408559
46,46_0,FAILED,BoTorch,BOTORCH_MODULAR,,,835,1,0.001000000000000000020816681712,50,0.050000000000000002775557561563
47,47_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.410000000000000031086244689504,31,614,4953,0.072195215349455651998589189589,50,0.100000000000000005551115123126
48,48_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.300000000000000044408920985006,24,1,1638,0.9989999999999999991118215803,50,0.005000000000000000104083408559
49,49_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.44000000000000000222044604925,38,2609,2837,0.001000000000000000020816681712,1,0.100000000000000005551115123126
50,50_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.479999999999999982236431605997,53,4997,3818,0.001000000000000000020816681712,30,0.100000000000000005551115123126
51,51_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,58,828,1487,0.001000000000000000020816681712,50,0.050000000000000002775557561563
52,52_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.390000000000000013322676295502,34,293,3441,0.001000000000000000020816681712,50,0.100000000000000005551115123126
53,53_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.450000000000000011102230246252,45,1197,4860,0.9989999999999999991118215803,50,0.100000000000000005551115123126
54,54_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.600000000000000088817841970013,143,1877,1050,0.001000000000000000020816681712,50,0.010000000000000000208166817117
55,55_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.380000000000000004440892098501,29,2261,5000,0.9989999999999999991118215803,50,0.100000000000000005551115123126
56,56_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.30999999999999999777955395075,21,1,4514,0.235919420054758438576314460988,50,0.005000000000000000104083408559
57,57_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.300000000000000044408920985006,37,1,701,0.9989999999999999991118215803,50,0.010000000000000000208166817117
58,58_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.479999999999999982236431605997,46,1744,4752,0.9989999999999999991118215803,50,0.25
59,59_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.489999999999999991118215802999,48,1784,4515,0.155891787326828096249542454643,50,0.100000000000000005551115123126
60,60_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2935,1,0.640761267415340673991863695846,50,0.005000000000000000104083408559
61,61_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.530000000000000026645352591004,56,4601,3662,0.5983942018018317821059781636,37,0.001000000000000000020816681712
62,62_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1568,1,0.647688177078188709323569582921,50,0.050000000000000002775557561563
63,63_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1029,1,0.29902027313179574408152916476,50,0.005000000000000000104083408559
64,64_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1653,1,0.9989999999999999991118215803,50,0.050000000000000002775557561563
65,65_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.320000000000000006661338147751,48,2885,1,0.001000000000000000020816681712,1,0.005000000000000000104083408559
66,66_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2738,1,0.897505808032030172327608852356,50,0.005000000000000000104083408559
67,67_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1364,1,0.203595558136698440154788158907,38,0.25
68,68_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1762,1,0.520471371873533650287413365731,24,0.005000000000000000104083408559
69,69_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1329,1,0.161159076827445235657876310142,38,0.25
70,70_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,1,0.001000000000000000020816681712,26,0.100000000000000005551115123126
71,71_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1387,1,0.219877893489058118259293905794,39,0.25
72,72_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1773,1,0.532531938464215315320871013682,23,0.005000000000000000104083408559
73,73_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,91,1353,1975,0.001000000000000000020816681712,44,0.25
74,74_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1752,1,0.504034221414319971721340607473,24,0.005000000000000000104083408559
75,75_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2426,1,0.9989999999999999991118215803,50,0.005000000000000000104083408559
76,76_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1356,1,0.357370553345331076755542198953,50,0.100000000000000005551115123126
77,77_0,FAILED,BoTorch,BOTORCH_MODULAR,,,574,1,0.001000000000000000020816681712,50,0.025000000000000001387778780781
78,78_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1716,1,0.9989999999999999991118215803,50,0.100000000000000005551115123126
79,79_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,85,4030,3304,0.958653512072230706841935443663,1,0.025000000000000001387778780781
80,80_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1776,1,0.675238669049019857304472225223,23,0.100000000000000005551115123126
81,81_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1847,1,0.695601120769149372513595608325,23,0.005000000000000000104083408559
82,82_0,FAILED,BoTorch,BOTORCH_MODULAR,,,792,1,0.001000000000000000020816681712,31,0.005000000000000000104083408559
83,83_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1905,1,0.695764344538252865746130737534,25,0.100000000000000005551115123126
84,84_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.30999999999999999777955395075,24,1,3916,0.9989999999999999991118215803,1,0.005000000000000000104083408559
85,85_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1816,1,0.639771619002576508172808189556,24,0.100000000000000005551115123126
86,86_0,FAILED,BoTorch,BOTORCH_MODULAR,,,567,1,0.001000000000000000020816681712,50,0.025000000000000001387778780781
87,87_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1743,1,0.9989999999999999991118215803,50,0.100000000000000005551115123126
88,88_0,FAILED,BoTorch,BOTORCH_MODULAR,,,575,1,0.001000000000000000020816681712,50,0.25
89,89_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1769,1,0.9989999999999999991118215803,50,0.100000000000000005551115123126
90,90_0,FAILED,BoTorch,BOTORCH_MODULAR,,,572,1,0.001000000000000000020816681712,50,0.25
91,91_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2434,1,0.9989999999999999991118215803,50,0.005000000000000000104083408559
92,92_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1359,1,0.090390172711860825027763155504,50,0.100000000000000005551115123126
93,93_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1757,1,0.9989999999999999991118215803,50,0.25
94,94_0,FAILED,BoTorch,BOTORCH_MODULAR,,,574,1,0.001000000000000000020816681712,50,0.100000000000000005551115123126
95,95_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1798,1,0.9989999999999999991118215803,50,0.005000000000000000104083408559
96,96_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1351,1,0.239435221504455841845526720135,50,0.100000000000000005551115123126
97,97_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2429,1,0.9989999999999999991118215803,50,0.005000000000000000104083408559
98,98_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1349,1,0.068121443377983578737477898812,50,0.100000000000000005551115123126
99,99_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1742,1,0.9989999999999999991118215803,50,0.25
100,100_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1407,1,0.377291031207270532998876433339,50,0.100000000000000005551115123126
101,94_0,FAILED,BoTorch,BOTORCH_MODULAR,,,574,1,0.001000000000000000020816681712,50,0.100000000000000005551115123126
102,102_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1754,1,0.9989999999999999991118215803,50,0.100000000000000005551115123126
103,103_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.520000000000000017763568394003,57,1536,3384,0.001000000000000000020816681712,1,0.025000000000000001387778780781
104,89_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1769,1,0.9989999999999999991118215803,50,0.100000000000000005551115123126
105,105_0,FAILED,BoTorch,BOTORCH_MODULAR,,,584,1,0.001000000000000000020816681712,50,0.100000000000000005551115123126
106,106_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1356,1,0.407075991120631974773402816936,50,0.025000000000000001387778780781
107,107_0,FAILED,BoTorch,BOTORCH_MODULAR,,,594,1,0.001000000000000000020816681712,50,0.100000000000000005551115123126
108,108_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1367,1,0.39067592827995140103425342204,50,0.100000000000000005551115123126
109,109_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1609,1,0.9989999999999999991118215803,50,0.25
110,110_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1299,1,0.025109052946932219896325477748,50,0.100000000000000005551115123126
111,111_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2433,1,0.9989999999999999991118215803,50,0.005000000000000000104083408559
112,112_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1288,1,0.015757813841910613128494134116,50,0.100000000000000005551115123126
113,113_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1274,1,0.9989999999999999991118215803,50,0.25
114,114_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.44000000000000000222044604925,45,2519,3155,0.9989999999999999991118215803,1,0.005000000000000000104083408559
115,115_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1324,1,0.33414849396158657901523270084,50,0.100000000000000005551115123126
116,116_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1837,1,0.9989999999999999991118215803,50,0.25
117,117_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1330,1,0.001000000000000000020816681712,50,0.100000000000000005551115123126
118,118_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1865,1,0.9989999999999999991118215803,50,0.25
119,119_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1315,1,0.001000000000000000020816681712,50,0.100000000000000005551115123126
120,120_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1889,1,0.9989999999999999991118215803,50,0.100000000000000005551115123126
121,121_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2449,1,0.9989999999999999991118215803,50,0.25
122,122_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1343,1,0.001000000000000000020816681712,50,0.100000000000000005551115123126
123,123_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1848,1,0.9989999999999999991118215803,50,0.25
124,124_0,FAILED,BoTorch,BOTORCH_MODULAR,,,585,1,0.001000000000000000020816681712,50,0.025000000000000001387778780781
125,125_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2442,1,0.9989999999999999991118215803,50,0.100000000000000005551115123126
126,126_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1352,1,0.001000000000000000020816681712,50,0.100000000000000005551115123126
127,127_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1854,1,0.9989999999999999991118215803,50,0.25
128,128_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1325,1,0.001000000000000000020816681712,50,0.100000000000000005551115123126
129,118_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1865,1,0.9989999999999999991118215803,50,0.25
130,130_0,FAILED,BoTorch,BOTORCH_MODULAR,,,583,1,0.001000000000000000020816681712,50,0.100000000000000005551115123126
131,131_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1872,1,0.9989999999999999991118215803,50,0.25
132,132_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1320,1,0.001000000000000000020816681712,50,0.025000000000000001387778780781
133,133_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1840,1,0.9989999999999999991118215803,50,0.25
134,134_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1327,1,0.001000000000000000020816681712,50,0.100000000000000005551115123126
135,135_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1852,1,0.9989999999999999991118215803,50,0.25
136,136_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1333,1,0.001000000000000000020816681712,50,0.100000000000000005551115123126
137,137_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1842,1,0.9989999999999999991118215803,50,0.25
138,117_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1330,1,0.001000000000000000020816681712,50,0.100000000000000005551115123126
139,139_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2443,1,0.9989999999999999991118215803,50,0.25
140,140_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1836,1,0.9989999999999999991118215803,50,0.100000000000000005551115123126
141,141_0,FAILED,BoTorch,BOTORCH_MODULAR,,,589,1,0.001000000000000000020816681712,50,0.100000000000000005551115123126
142,142_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1364,1,0.073919421326621853607363732408,50,0.025000000000000001387778780781
143,143_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2432,1,0.9989999999999999991118215803,50,0.100000000000000005551115123126
144,144_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1353,1,0.001000000000000000020816681712,50,0.100000000000000005551115123126
145,145_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1674,1,0.9989999999999999991118215803,50,0.025000000000000001387778780781
146,146_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1356,1,0.001000000000000000020816681712,50,0.100000000000000005551115123126
147,139_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2443,1,0.9989999999999999991118215803,50,0.25
148,148_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1360,1,0.001000000000000000020816681712,50,0.100000000000000005551115123126
149,149_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1870,1,0.9989999999999999991118215803,50,0.25
150,150_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1332,1,0.001000000000000000020816681712,50,0.025000000000000001387778780781
151,151_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1824,1,0.9989999999999999991118215803,50,0.25
152,134_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1327,1,0.001000000000000000020816681712,50,0.100000000000000005551115123126
153,153_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1884,1,0.9989999999999999991118215803,50,0.25
154,154_0,FAILED,BoTorch,BOTORCH_MODULAR,,,584,1,0.001000000000000000020816681712,50,0.25
155,155_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1875,1,0.9989999999999999991118215803,50,0.100000000000000005551115123126
156,156_0,FAILED,BoTorch,BOTORCH_MODULAR,,,590,1,0.001000000000000000020816681712,50,0.025000000000000001387778780781
157,157_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1314,1,0.001000000000000000020816681712,50,0.100000000000000005551115123126
158,158_0,FAILED,BoTorch,BOTORCH_MODULAR,,,587,1,0.001000000000000000020816681712,50,0.25
159,159_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1865,1,0.9989999999999999991118215803,50,0.100000000000000005551115123126
160,160_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1829,1,0.9989999999999999991118215803,50,0.100000000000000005551115123126
161,161_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1329,1,0.001000000000000000020816681712,50,0.100000000000000005551115123126
162,162_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2440,1,0.9989999999999999991118215803,50,0.100000000000000005551115123126
163,163_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1337,1,0.001000000000000000020816681712,50,0.100000000000000005551115123126
164,133_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1840,1,0.9989999999999999991118215803,50,0.25
165,165_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1313,1,0.001000000000000000020816681712,50,0.100000000000000005551115123126
166,166_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1904,1,0.9989999999999999991118215803,50,0.25
167,128_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1325,1,0.001000000000000000020816681712,50,0.100000000000000005551115123126
168,168_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1839,1,0.9989999999999999991118215803,50,0.25
169,169_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1324,1,0.001000000000000000020816681712,50,0.025000000000000001387778780781
170,162_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2440,1,0.9989999999999999991118215803,50,0.100000000000000005551115123126
171,171_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1346,1,0.001000000000000000020816681712,50,0.100000000000000005551115123126
172,172_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.470000000000000028865798640254,40,1603,5000,0.001000000000000000020816681712,50,0.025000000000000001387778780781
173,173_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1823,1,0.9989999999999999991118215803,50,0.100000000000000005551115123126
174,174_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1300,1,0.001000000000000000020816681712,50,0.005000000000000000104083408559
175,175_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1873,1,0.9989999999999999991118215803,50,0.25
176,176_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.489999999999999991118215802999,53,507,1750,0.001000000000000000020816681712,50,0.025000000000000001387778780781
177,177_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1355,1,0.082879966001670496433817447723,50,0.100000000000000005551115123126
178,178_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3493,1,0.664550912764349077654912889557,50,0.050000000000000002775557561563
179,179_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1889,1,0.9989999999999999991118215803,50,0.010000000000000000208166817117
180,180_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1692,1,0.668698996434498260654777368472,50,0.010000000000000000208166817117
181,181_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.320000000000000006661338147751,41,3530,1,0.004883661179148107017722324485,1,0.001000000000000000020816681712
182,182_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1841,1,0.670986009348317424816343645944,50,0.010000000000000000208166817117
183,183_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1840,1,0.9989999999999999991118215803,50,0.050000000000000002775557561563
184,184_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1847,1,0.672001232993433839091323989123,50,0.010000000000000000208166817117
185,185_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.589999999999999968913755310496,101,1302,1209,0.001000000000000000020816681712,1,0.001000000000000000020816681712
186,186_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2528,1,0.665450079573546848799026065535,50,0.010000000000000000208166817117
187,187_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.579999999999999960031971113494,128,1769,1868,0.141653591983212867599917217376,50,0.050000000000000002775557561563
188,188_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1828,1,0.671794977964650263935197926912,50,0.050000000000000002775557561563
189,189_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.470000000000000028865798640254,48,1569,4310,0.553934229698349489545705637283,36,0.001000000000000000020816681712
190,190_0,FAILED,BoTorch,BOTORCH_MODULAR,,,565,1,0.651906311792785131409289078874,50,0.25
191,191_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.609999999999999986677323704498,199,1439,524,0.001000000000000000020816681712,1,0.100000000000000005551115123126
192,192_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1222,1,0.001000000000000000020816681712,50,0.001000000000000000020816681712
193,193_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.579999999999999960031971113494,115,1507,1258,0.188414252347174432378196229365,11,0.005000000000000000104083408559
194,194_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1854,1,0.915011369485264514089806198172,50,0.050000000000000002775557561563
195,195_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.479999999999999982236431605997,63,4193,3803,0.605662844620268092654669089825,50,0.100000000000000005551115123126
196,196_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1841,1,0.873356149933436243237849794241,50,0.010000000000000000208166817117
197,197_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2443,1,0.552818465837306427523856200423,50,0.005000000000000000104083408559
198,198_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1805,1,0.876166472611600299913447997824,50,0.010000000000000000208166817117
199,199_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2442,1,0.547943408839026924184167910425,50,0.005000000000000000104083408559
200,200_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1859,1,0.871033837681214451187372560526,50,0.050000000000000002775557561563
201,201_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2446,1,0.550108395973429753489369886665,50,0.005000000000000000104083408559
202,202_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1798,1,0.870281820339020462107271214336,50,0.010000000000000000208166817117
203,203_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2446,1,0.538718691934576665580891585705,50,0.005000000000000000104083408559
204,204_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1794,1,0.874364194797671356873536296916,50,0.050000000000000002775557561563
205,205_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1250,1,0.001000000000000000020816681712,50,0.001000000000000000020816681712
206,206_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1855,1,0.873335857704903739673341078742,50,0.050000000000000002775557561563
207,207_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1272,1,0.001000000000000000020816681712,50,0.001000000000000000020816681712
208,208_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1805,1,0.869398243210775523159838940046,50,0.050000000000000002775557561563
209,209_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1346,22,0.001000000000000000020816681712,50,0.001000000000000000020816681712
210,210_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1840,1,0.870935965522624755408287455793,50,0.050000000000000002775557561563
211,207_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1272,1,0.001000000000000000020816681712,50,0.001000000000000000020816681712
212,212_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1847,1,0.871813753770980137680624011409,50,0.050000000000000002775557561563
213,213_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1277,1,0.001000000000000000020816681712,50,0.001000000000000000020816681712
214,214_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1799,1,0.866883229729062732005218094855,50,0.050000000000000002775557561563
215,215_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1249,1,0.001000000000000000020816681712,50,0.001000000000000000020816681712
216,216_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2440,1,0.852859785356848809634300323523,50,0.010000000000000000208166817117
217,217_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.570000000000000062172489379009,100,1539,1415,0.115046938912590684944703411929,1,0.25
218,218_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1827,1,0.869345175630027444668712632847,50,0.050000000000000002775557561563
219,219_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1831,1,0.66884684749803313685845296277,50,0.25
220,220_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1825,1,0.081067884585931879182219006452,50,0.050000000000000002775557561563
221,221_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1802,1,0.055052554995186679664964657377,50,0.005000000000000000104083408559
222,222_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1825,1,0.9989999999999999991118215803,50,0.050000000000000002775557561563
223,223_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1825,1,0.672200709730002565756024068833,50,0.25
224,224_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1814,1,0.055733311337458048273507671411,39,0.050000000000000002775557561563
225,225_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1825,1,0.687232080829594527138226567331,50,0.050000000000000002775557561563
226,226_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.510000000000000008881784197001,67,1409,3219,0.532304942702914951624393324892,1,0.001000000000000000020816681712
227,227_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1830,1,0.690048218259697088150517174654,50,0.050000000000000002775557561563
228,228_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,69,4791,3311,0.892189460999842975930107513705,48,0.001000000000000000020816681712
229,229_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1829,1,0.9989999999999999991118215803,50,0.050000000000000002775557561563
230,230_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1559,1,0.693159397813588595838041328534,50,0.100000000000000005551115123126
231,231_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1570,1,0.9989999999999999991118215803,50,0.010000000000000000208166817117
232,232_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1266,1,0.009103408252092217226025816501,50,0.001000000000000000020816681712
233,233_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1640,1,0.714779359511274470229125199694,50,0.050000000000000002775557561563
234,234_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1284,1,0.002585350636466209744979138918,50,0.001000000000000000020816681712
235,235_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1617,1,0.70083002954721607125065929722,50,0.010000000000000000208166817117
236,236_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1159,1,0.005088711847833609844271585132,50,0.001000000000000000020816681712
237,237_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1658,1,0.711984406356903520851631128608,50,0.050000000000000002775557561563
238,238_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1329,1,0.9989999999999999991118215803,50,0.010000000000000000208166817117
239,239_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1786,1,0.712061905641153236601326170785,50,0.100000000000000005551115123126
240,240_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1733,1,0.716830607777477535336174696567,50,0.050000000000000002775557561563
241,241_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1282,1,0.007635067543390428729255248186,50,0.001000000000000000020816681712
242,242_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1608,1,0.9989999999999999991118215803,50,0.100000000000000005551115123126
243,243_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1487,1,0.70004347671259448127045743604,50,0.010000000000000000208166817117
244,244_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1308,1,0.006309457581203179420137328037,50,0.001000000000000000020816681712
245,245_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1652,1,0.713520038248145360704199902102,50,0.050000000000000002775557561563
246,246_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1322,1,0.004035566162652388932929881094,50,0.001000000000000000020816681712
247,247_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2437,1,0.9989999999999999991118215803,50,0.010000000000000000208166817117
248,248_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1644,1,0.710454830659833724837426416343,50,0.010000000000000000208166817117
249,249_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1345,1,0.001000000000000000020816681712,50,0.001000000000000000020816681712
250,250_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1615,1,0.715559059308566558499364873569,50,0.010000000000000000208166817117
251,251_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1283,1,0.00674505705725355914764707066,50,0.001000000000000000020816681712
252,252_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1688,1,0.703540952527063723209721501917,50,0.050000000000000002775557561563
253,253_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1267,1,0.001000000000000000020816681712,50,0.001000000000000000020816681712
254,254_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3490,1,0.9989999999999999991118215803,50,0.010000000000000000208166817117
255,255_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1291,1,0.001199193434991824335281163094,50,0.001000000000000000020816681712
256,256_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1631,1,0.705924337574787452709301760478,50,0.050000000000000002775557561563
257,257_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1235,1,0.004421792067035990383971899575,50,0.001000000000000000020816681712
258,258_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1635,1,0.714209799046394699928441696102,50,0.050000000000000002775557561563
259,259_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1518,1,0.704688482439617014385646598384,50,0.010000000000000000208166817117
260,260_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1795,1,0.9989999999999999991118215803,50,0.050000000000000002775557561563
261,261_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1306,1,0.006508550854639699387305107336,50,0.001000000000000000020816681712
262,262_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1661,1,0.70850158695807363695706726503,50,0.010000000000000000208166817117
263,263_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1353,1,0.001000000000000000020816681712,50,0.001000000000000000020816681712
264,264_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1631,1,0.719178002713259156841729691223,50,0.050000000000000002775557561563
265,265_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1313,1,0.017303610318918846711078174394,50,0.001000000000000000020816681712
266,266_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2446,1,0.0657250564727435843126457371,50,0.25
267,267_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1579,1,0.9989999999999999991118215803,50,0.050000000000000002775557561563
268,268_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1235,1,0.004452665723558844532159461949,50,0.001000000000000000020816681712
269,269_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2474,1,0.068650841494566877676319904822,50,0.25
270,270_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1247,1,0.001000000000000000020816681712,50,0.001000000000000000020816681712
271,271_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1582,1,0.704793039688000999554162717686,50,0.010000000000000000208166817117
272,272_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1263,1,0.001000000000000000020816681712,50,0.001000000000000000020816681712
273,273_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1667,1,0.711642774219366724963720116648,50,0.050000000000000002775557561563
274,274_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1414,1,0.018031028702360420851169564571,50,0.001000000000000000020816681712
275,275_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1647,1,0.9989999999999999991118215803,50,0.050000000000000002775557561563
276,276_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1273,1,0.003217701284819401898878998836,50,0.001000000000000000020816681712
277,277_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1652,1,0.9989999999999999991118215803,50,0.050000000000000002775557561563
278,278_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1281,1,0.002111844755140980869900779737,50,0.001000000000000000020816681712
279,279_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1737,1,0.710120104779632943525768951076,50,0.010000000000000000208166817117
280,280_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2418,1,0.69676940970513157047605545813,50,0.010000000000000000208166817117
281,281_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1731,1,0.737938222341005145565873135638,50,0.100000000000000005551115123126
282,282_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1278,1,0.005187706787638886665736670523,50,0.001000000000000000020816681712
283,283_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1719,1,0.9989999999999999991118215803,50,0.010000000000000000208166817117
284,284_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1478,1,0.690468169392444930387853219145,50,0.010000000000000000208166817117
285,285_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1263,1,0.010062681104895910069729758618,50,0.001000000000000000020816681712
286,286_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,71,3927,2969,0.001000000000000000020816681712,50,0.010000000000000000208166817117
287,287_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1623,1,0.9989999999999999991118215803,50,0.050000000000000002775557561563
288,288_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1646,1,0.68052806567299817253058336064,50,0.050000000000000002775557561563
289,289_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1357,1,0.002644851518806399029437592674,50,0.001000000000000000020816681712
290,290_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3652,1,0.693266382374022938073210298171,50,0.100000000000000005551115123126
291,291_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1309,1,0.001000000000000000020816681712,50,0.001000000000000000020816681712
292,292_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3463,1,0.699053070356776218297056857409,50,0.25
293,293_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1571,1,0.70314389778557329080399540544,50,0.100000000000000005551115123126
294,294_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2438,1,0.9989999999999999991118215803,50,0.050000000000000002775557561563
295,295_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1642,1,0.704206610603147487026376438735,50,0.050000000000000002775557561563
296,296_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1317,1,0.008002393406972957076717101188,50,0.001000000000000000020816681712
297,297_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1570,1,0.70854054780120601098047927735,50,0.050000000000000002775557561563
298,298_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1306,1,0.008992926534939885835351347509,50,0.001000000000000000020816681712
299,299_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1664,1,0.700205189975500297272503757995,50,0.010000000000000000208166817117
300,300_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1767,1,0.700395446756498452067773996532,50,0.050000000000000002775557561563
301,301_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1415,1,0.9989999999999999991118215803,50,0.010000000000000000208166817117
302,302_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1622,1,0.687312011122370614124577059556,50,0.010000000000000000208166817117
303,303_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.489999999999999991118215802999,50,4902,4790,0.243361076555769745288770877778,50,0.001000000000000000020816681712
304,304_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1595,1,0.9989999999999999991118215803,50,0.050000000000000002775557561563
305,305_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4655,1,0.667291447186880049002866144292,50,0.25
306,306_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1814,1,0.713643453327723609191934883711,50,0.010000000000000000208166817117
307,307_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4730,1,0.9989999999999999991118215803,50,0.050000000000000002775557561563
308,308_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1808,1,0.701035623193346446591078802157,50,0.050000000000000002775557561563
309,309_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1828,1,0.9989999999999999991118215803,50,0.010000000000000000208166817117
310,310_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3525,1,0.109745613890400356416066074416,50,0.005000000000000000104083408559
311,311_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1264,1,0.001000000000000000020816681712,40,0.005000000000000000104083408559
312,312_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1822,1,0.710253668263683302086519688601,50,0.050000000000000002775557561563
313,313_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3499,1,0.100382008409408612914504033142,1,0.005000000000000000104083408559
314,314_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1824,1,0.9989999999999999991118215803,50,0.010000000000000000208166817117
315,315_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3453,1,0.683277251221528714175690311095,50,0.050000000000000002775557561563
316,316_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1802,1,0.075933506591877961144909647828,50,0.25
317,317_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1828,1,0.712009478922016714186327135394,50,0.050000000000000002775557561563
318,318_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1826,1,0.9989999999999999991118215803,50,0.050000000000000002775557561563
319,319_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1825,1,0.9989999999999999991118215803,50,0.010000000000000000208166817117
320,320_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1800,1,0.074574483117918283214820007743,50,0.005000000000000000104083408559
321,321_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4009,1,0.702099363646119467574635564233,50,0.25
322,322_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1815,1,0.707610417588101503483244414383,50,0.050000000000000002775557561563
323,323_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4705,1,0.9989999999999999991118215803,50,0.25
324,324_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1821,1,0.9989999999999999991118215803,50,0.010000000000000000208166817117
325,325_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1817,1,0.681523389625604769648248293379,50,0.050000000000000002775557561563
326,326_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3507,1,0.78966573950435881013021344188,50,0.050000000000000002775557561563
327,327_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1823,1,0.696501972557675985697756004811,50,0.050000000000000002775557561563
328,328_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1830,1,0.719489399280168417938341463014,50,0.010000000000000000208166817117
329,329_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1818,1,0.051918569228591116004878358581,50,0.050000000000000002775557561563
330,330_0,FAILED,BoTorch,BOTORCH_MODULAR,,,968,1,0.701797602899705830203913592413,50,0.010000000000000000208166817117
331,331_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1811,1,0.714499637928333708458694673027,50,0.050000000000000002775557561563
332,332_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1814,1,0.656247522815804562590358273155,50,0.025000000000000001387778780781
333,333_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1811,1,0.747753903737091052406071867154,50,0.010000000000000000208166817117
334,334_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1823,1,0.06088331062918879432732666146,48,0.050000000000000002775557561563
335,335_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,80,1400,1946,0.9989999999999999991118215803,50,0.010000000000000000208166817117
336,336_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1810,1,0.710141086964361067934703442006,50,0.010000000000000000208166817117
337,337_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3990,1,0.9989999999999999991118215803,50,0.010000000000000000208166817117
338,338_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1850,1,0.708072590338721497005280980375,50,0.010000000000000000208166817117
339,339_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1824,1,0.9989999999999999991118215803,50,0.050000000000000002775557561563
340,340_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.600000000000000088817841970013,815,1858,110,0.9989999999999999991118215803,50,0.050000000000000002775557561563
341,341_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1829,1,0.9989999999999999991118215803,50,0.010000000000000000208166817117
342,342_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4784,1,0.667481400516954370694122644636,50,0.100000000000000005551115123126
343,343_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.619999999999999995559107901499,194,2505,175,0.658240597849692465892701420671,50,0.025000000000000001387778780781
344,344_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4021,1,0.9989999999999999991118215803,50,0.100000000000000005551115123126
345,345_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1822,1,0.9989999999999999991118215803,50,0.050000000000000002775557561563
346,346_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1349,1,0.430035816665602421693392898305,50,0.005000000000000000104083408559
347,347_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4019,1,0.47064546837295428982628209269,50,0.005000000000000000104083408559
348,348_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2528,1,0.457055111133504832210405766091,50,0.005000000000000000104083408559
349,349_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.619999999999999995559107901499,223,3450,484,0.203853618128552377397610939624,50,0.025000000000000001387778780781
350,350_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2522,1,0.438077168582680753772251591727,50,0.005000000000000000104083408559
351,351_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4768,1,0.9989999999999999991118215803,50,0.010000000000000000208166817117
352,352_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.600000000000000088817841970013,157,1804,963,0.59682069332249432225268037655,50,0.005000000000000000104083408559
353,353_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2517,27,0.491453889808104005254563162453,50,0.005000000000000000104083408559
354,354_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.600000000000000088817841970013,122,2537,460,0.9989999999999999991118215803,50,0.010000000000000000208166817117
355,355_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2531,1,0.42274069079010079263980514952,50,0.005000000000000000104083408559
356,356_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4650,1,0.439414456543955056488925947633,1,0.005000000000000000104083408559
357,357_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1282,1,0.456290957256872409253389832884,50,0.005000000000000000104083408559
358,358_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2538,1,0.312754914294430141907810138946,39,0.005000000000000000104083408559
359,359_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1276,1,0.529475247156931616565600506874,50,0.005000000000000000104083408559
360,360_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1325,1,0.420477432992695854263587307287,50,0.005000000000000000104083408559
361,361_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2535,1,0.494275959821844912411847872136,50,0.005000000000000000104083408559
362,362_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3998,1,0.556174455443036563906389346812,50,0.005000000000000000104083408559
363,363_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2536,1,0.405185271160342308505164510279,1,0.005000000000000000104083408559
364,364_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1291,1,0.556768470627712619425153661723,50,0.005000000000000000104083408559
365,365_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2528,1,0.410911265482629572964867747942,1,0.005000000000000000104083408559
366,366_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4003,1,0.489264783989678098130582384329,50,0.005000000000000000104083408559
367,367_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1298,1,0.457746115373307393969781742271,50,0.005000000000000000104083408559
368,368_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2531,1,0.44616549553061390920305484542,13,0.005000000000000000104083408559
369,369_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4002,1,0.515866153512030800598608948349,50,0.005000000000000000104083408559
370,370_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3438,1,0.433579354909104763837746077115,50,0.005000000000000000104083408559
371,371_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4635,1,0.432184772461701061097016918211,1,0.005000000000000000104083408559
372,372_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1271,1,0.46812272121401582447575151491,50,0.005000000000000000104083408559
373,373_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2528,1,0.424552970321952938270726463088,1,0.005000000000000000104083408559
374,374_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4000,1,0.542429289447107221278088218241,50,0.005000000000000000104083408559
375,375_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2530,1,0.398666640354809587165618722793,1,0.005000000000000000104083408559
376,376_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1322,1,0.001000000000000000020816681712,50,0.001000000000000000020816681712
377,377_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2538,1,0.412529939697277636678762746669,47,0.005000000000000000104083408559
378,378_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3465,1,0.487936028944047750499635185406,50,0.005000000000000000104083408559
379,379_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2532,1,0.426972898282819646187391526837,1,0.005000000000000000104083408559
380,380_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2517,1,0.410524649670652830302230995585,20,0.005000000000000000104083408559
381,381_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4003,1,0.521804767621129816923541966389,50,0.005000000000000000104083408559
382,382_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1278,1,0.470031890092403814573884801575,50,0.005000000000000000104083408559
383,383_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2516,1,0.412746643835891657836612012034,1,0.005000000000000000104083408559
384,384_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1296,1,0.500547933356076724109584574762,50,0.005000000000000000104083408559
385,385_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4700,1,0.433021873303130910848324219842,1,0.005000000000000000104083408559
386,386_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2521,1,0.44720387706792613657924562176,50,0.005000000000000000104083408559
387,387_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4013,1,0.534668794783711098794753979746,50,0.005000000000000000104083408559
388,388_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.579999999999999960031971113494,93,1482,1508,0.282860110692362554107859295982,50,0.010000000000000000208166817117
389,389_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2523,1,0.396984221383834767760134809578,2,0.005000000000000000104083408559
390,390_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4523,1,0.431890621532674601201762243363,50,0.005000000000000000104083408559
391,391_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1243,1,0.413608705689873568100978218354,1,0.005000000000000000104083408559
392,392_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4523,1,0.45993965010257648051705814396,50,0.005000000000000000104083408559
393,393_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1314,1,0.410573064850464852781897207024,12,0.005000000000000000104083408559
394,394_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4692,1,0.403319608513975857988498319173,6,0.005000000000000000104083408559
395,395_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1264,1,0.102871104819691666643066696452,2,0.005000000000000000104083408559
396,396_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1268,1,0.424368855848881454395638002097,50,0.005000000000000000104083408559
397,397_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4466,1,0.444518376706223461436451316331,50,0.005000000000000000104083408559
398,398_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.570000000000000062172489379009,89,4860,2318,0.001000000000000000020816681712,50,0.025000000000000001387778780781
399,399_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1312,1,0.408970440295916060069458808357,30,0.005000000000000000104083408559
400,400_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4607,1,0.403378490848376070054825959232,50,0.005000000000000000104083408559
401,401_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1385,1,0.036193194376562071168379475239,50,0.001000000000000000020816681712
402,402_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4665,1,0.405578338497504076176625176231,50,0.005000000000000000104083408559
403,403_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1341,1,0.069506272015924172591461172033,50,0.001000000000000000020816681712
404,404_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4750,1,0.399289428895887699155764494208,50,0.005000000000000000104083408559
405,405_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1202,1,0.401597065675597331146917667866,11,0.005000000000000000104083408559
406,406_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4769,1,0.480573802499320190673159913786,50,0.005000000000000000104083408559
407,407_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.530000000000000026645352591004,67,4638,3614,0.768292064530889162732307795523,1,0.010000000000000000208166817117
408,408_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4569,1,0.402159950700463508788118360826,50,0.005000000000000000104083408559
409,409_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.540000000000000035527136788005,86,1456,2055,0.001000000000000000020816681712,50,0.010000000000000000208166817117
410,410_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1418,1,0.395840816795979821840489876195,21,0.005000000000000000104083408559
411,411_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1311,1,0.045604887932895063484828312994,50,0.001000000000000000020816681712
412,412_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1345,1,0.396650402252635037037009624328,2,0.005000000000000000104083408559
413,413_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2539,1,0.487871677427527128401152367587,50,0.005000000000000000104083408559
414,414_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1318,1,0.404265703139137677624148636824,1,0.005000000000000000104083408559
415,415_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2525,1,0.480683082674246975329879205674,50,0.005000000000000000104083408559
416,416_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1348,1,0.474669252246118722471379669514,50,0.005000000000000000104083408559
417,417_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1333,1,0.424400497385746811040974080242,11,0.005000000000000000104083408559
418,418_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3994,1,0.446725207931679579864692186675,50,0.005000000000000000104083408559
419,419_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1308,1,0.407408595823932406787548643479,2,0.005000000000000000104083408559
420,420_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2523,1,0.400065549354878535748269996475,27,0.005000000000000000104083408559
421,421_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1294,1,0.496936024358315742155411953718,50,0.005000000000000000104083408559
422,422_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1332,1,0.428993127554542441615126335819,15,0.005000000000000000104083408559
423,423_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2543,1,0.439549859369340101267198406276,50,0.005000000000000000104083408559
424,424_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1313,1,0.062338725268890435304847130737,50,0.001000000000000000020816681712
425,425_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2519,1,0.402050416513602681956029982757,49,0.005000000000000000104083408559
426,426_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1371,1,0.480245779976306130798491267342,50,0.005000000000000000104083408559
427,427_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4838,1,0.454608905379159100590413800091,50,0.005000000000000000104083408559
428,428_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2522,1,0.420372279939830117978516454968,27,0.005000000000000000104083408559
429,429_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1329,1,0.517281350476878176714023993554,50,0.005000000000000000104083408559
430,430_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1400,1,0.409749618881272870130061392047,31,0.005000000000000000104083408559
431,431_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4414,65,0.439071631967267450580294507745,49,0.005000000000000000104083408559
432,432_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2536,1,0.43916380793562653783723703782,39,0.005000000000000000104083408559
433,433_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4805,1,0.320823991059530078118200435711,1,0.005000000000000000104083408559
434,434_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2520,1,0.488450668976831259282533892474,50,0.005000000000000000104083408559
435,435_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4810,1,0.386950576064564844003257348959,5,0.005000000000000000104083408559
436,436_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2532,1,0.44943587843324867003858003045,50,0.005000000000000000104083408559
437,437_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3987,1,0.504498668794120197489405654778,50,0.005000000000000000104083408559
438,438_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2530,1,0.431609050491980950070569633681,44,0.005000000000000000104083408559
439,439_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3974,1,0.453608478443076168495906586031,1,0.005000000000000000104083408559
440,440_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1346,1,0.402331542866212199527353732265,23,0.005000000000000000104083408559
441,441_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2524,1,0.488268435740326411931278016709,50,0.005000000000000000104083408559
442,442_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1357,1,0.447205578158007543976282249787,50,0.005000000000000000104083408559
443,443_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4812,1,0.528293128032335745913883329195,50,0.005000000000000000104083408559
444,444_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2523,1,0.376815364000324171112055182675,26,0.005000000000000000104083408559
445,445_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1324,1,0.433260702825646160096795256322,25,0.005000000000000000104083408559
446,446_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3997,1,0.441352184983501094617253102115,1,0.005000000000000000104083408559
447,447_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2513,1,0.448432502161696500131427001179,50,0.005000000000000000104083408559
448,448_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2528,1,0.396797310581056328349092154895,1,0.005000000000000000104083408559
449,449_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1342,1,0.474800972747781269145406213283,50,0.005000000000000000104083408559
450,450_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3460,1,0.445814300022491338815200379031,50,0.005000000000000000104083408559
451,451_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1338,1,0.436992390635801641884938817384,33,0.005000000000000000104083408559
452,452_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2526,1,0.458905940730698569396395214426,50,0.005000000000000000104083408559
453,453_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1237,1,0.488860636623055122562675478548,50,0.005000000000000000104083408559
454,454_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4013,1,0.398354774386069310221358819035,3,0.005000000000000000104083408559
455,455_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2529,1,0.449572910549736137753029652231,50,0.005000000000000000104083408559
456,456_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1314,1,0.477310930815422418405091775639,20,0.005000000000000000104083408559
457,457_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2524,1,0.423725677400737466005153919468,50,0.005000000000000000104083408559
458,458_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4004,1,0.434472334520448311145912612119,2,0.005000000000000000104083408559
459,459_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2522,1,0.470639238750895361196313615437,50,0.005000000000000000104083408559
460,460_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2521,1,0.402532592749429651846071465116,21,0.005000000000000000104083408559
461,461_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1362,1,0.503673550831063354671357501502,50,0.005000000000000000104083408559
462,462_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2521,1,0.443783785024831123333655114038,43,0.005000000000000000104083408559
463,463_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4017,1,0.442854609626423811885587156212,40,0.005000000000000000104083408559
464,464_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1363,1,0.456233159909740948467771204378,50,0.005000000000000000104083408559
465,465_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.540000000000000035527136788005,51,1738,3152,0.602483083728453272520653172251,31,0.025000000000000001387778780781
466,466_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1328,1,0.397445286915654782955442669845,25,0.005000000000000000104083408559
467,467_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2523,1,0.459819433600250848659385383144,50,0.005000000000000000104083408559
468,468_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3991,1,0.400931728192496228402319502493,1,0.005000000000000000104083408559
469,469_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1326,1,0.014413725433974938078263150487,35,0.001000000000000000020816681712
470,470_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2524,1,0.397789399078895655748056015,38,0.005000000000000000104083408559
471,471_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1310,1,0.473495576316034727515358326855,50,0.005000000000000000104083408559
472,472_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2521,1,0.425312191612872370072295780119,17,0.005000000000000000104083408559
473,473_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1316,1,0.445392663868949489902604454983,50,0.005000000000000000104083408559
474,474_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4016,1,0.426931773368127320811282743307,1,0.005000000000000000104083408559
475,475_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2519,1,0.431941273751725918206290089074,50,0.005000000000000000104083408559
476,476_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1329,1,0.430354907402555497686336138941,26,0.005000000000000000104083408559
477,477_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3459,1,0.458093180560686707991635557846,50,0.005000000000000000104083408559
478,478_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4001,1,0.405245835206829108088300017698,1,0.005000000000000000104083408559
479,479_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1256,1,0.496211923783617614436280973678,50,0.005000000000000000104083408559
480,480_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2525,1,0.41161167679489352178023864326,50,0.005000000000000000104083408559
481,481_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3995,1,0.456593333732297657068244234324,1,0.005000000000000000104083408559
482,482_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2525,1,0.423903900093434982121465282034,50,0.005000000000000000104083408559
483,483_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1322,1,0.419907055417393260121627918124,4,0.005000000000000000104083408559
484,484_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1329,1,0.445118475738137175934383549247,50,0.005000000000000000104083408559
485,485_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4834,1,0.396786729031487594987481770659,1,0.005000000000000000104083408559
486,486_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1347,1,0.473144580759886246301704204598,50,0.005000000000000000104083408559
487,487_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2522,1,0.444817747369118665634601939018,44,0.005000000000000000104083408559
488,488_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3982,1,0.43028230325559557734038662602,1,0.005000000000000000104083408559
489,489_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2522,1,0.425285956852921309678805528165,50,0.005000000000000000104083408559
490,490_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1314,1,0.001000000000000000020816681712,50,0.001000000000000000020816681712
491,491_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2535,1,0.401069901561030117687067786392,49,0.005000000000000000104083408559
492,492_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4007,1,0.450988277382767976941835286198,1,0.005000000000000000104083408559
493,493_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2521,1,0.44929243027770460194858515024,50,0.005000000000000000104083408559
494,494_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1326,1,0.403446410899149066064950375221,1,0.005000000000000000104083408559
495,495_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2527,1,0.45634411805483082735790389961,50,0.005000000000000000104083408559
496,496_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1360,1,0.496869958907121378466342775937,50,0.005000000000000000104083408559
497,497_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2516,1,0.474562675571493175485926485635,50,0.005000000000000000104083408559
498,498_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1305,1,0.398532087129838119565761189733,19,0.005000000000000000104083408559
499,499_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3986,1,0.455062977052320793980300095427,41,0.005000000000000000104083408559
500,500_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2520,1,0.40286382293842420976304197211,50,0.005000000000000000104083408559
501,501_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1322,1,0.484592431069580331648438686898,50,0.005000000000000000104083408559
502,502_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1413,1,0.416576486065960482907399864416,13,0.005000000000000000104083408559
503,503_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2525,1,0.453393544076749754889732457741,50,0.005000000000000000104083408559
504,504_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3999,1,0.379574162959571081987775187372,1,0.005000000000000000104083408559
505,505_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1372,1,0.430910095003934345836427155518,50,0.005000000000000000104083408559
506,506_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2526,1,0.44506927530248352464781191884,27,0.005000000000000000104083408559
507,507_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1251,1,0.472902795046046819926743864926,50,0.005000000000000000104083408559
508,508_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2524,1,0.40080895834281082823480346633,9,0.005000000000000000104083408559
509,509_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1182,1,0.47138985477970951620818595984,50,0.005000000000000000104083408559
510,510_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1362,1,0.417994663618341921740295674681,7,0.005000000000000000104083408559
511,511_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2524,1,0.407553387749823914365521204672,50,0.005000000000000000104083408559
512,512_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4007,1,0.451667782189854261076789043727,1,0.005000000000000000104083408559
513,513_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2524,1,0.523607634721565129432008234289,50,0.005000000000000000104083408559
514,514_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1328,1,0.425262513660263519188475811461,11,0.005000000000000000104083408559
515,515_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1382,1,0.477462347776757944917136455842,50,0.005000000000000000104083408559
516,516_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1350,1,0.399044311672358431586360438814,17,0.005000000000000000104083408559
517,517_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2523,1,0.464088683060629059173862742682,50,0.005000000000000000104083408559
518,518_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1277,1,0.36581977255564590567615823602,1,0.005000000000000000104083408559
519,519_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2520,1,0.454282191760729314733424644146,50,0.005000000000000000104083408559
520,520_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2519,1,0.402212251024816780375914504475,47,0.005000000000000000104083408559
521,521_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4005,1,0.462133278760715526800595398527,1,0.005000000000000000104083408559
522,522_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2529,1,0.423414423459108679725915180825,50,0.005000000000000000104083408559
523,523_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4828,1,0.414168118288269049287464440567,50,0.005000000000000000104083408559
524,524_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2521,1,0.436515506325127422559972956151,30,0.005000000000000000104083408559
525,525_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1298,1,0.477631092995699724212954606628,50,0.005000000000000000104083408559
526,526_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2527,1,0.397110686333740026121574828721,33,0.005000000000000000104083408559
527,527_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.619999999999999995559107901499,339,1251,265,0.364739029876184173151187906115,25,0.005000000000000000104083408559
528,528_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4014,1,0.437444709522435526416472839628,8,0.005000000000000000104083408559
529,529_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1350,1,0.42039909156608451512582291798,50,0.005000000000000000104083408559
530,530_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.570000000000000062172489379009,78,4763,2454,0.290856029544249494733776373323,50,0.25
531,531_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1293,1,0.709609382894468732061454829818,50,0.005000000000000000104083408559
532,532_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1661,1,0.011124305649254264197201003128,49,0.005000000000000000104083408559
533,533_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,72,1793,2369,0.133738037654066416193288091563,50,0.100000000000000005551115123126
534,534_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1722,1,0.01430011441581036102377311181,50,0.005000000000000000104083408559
535,535_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.530000000000000026645352591004,73,4049,3078,0.781691847366915215644667114248,50,0.025000000000000001387778780781
536,536_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1776,1,0.703096494886611966812495211343,50,0.005000000000000000104083408559
537,537_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1233,1,0.001000000000000000020816681712,50,0.25
538,538_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.470000000000000028865798640254,53,1657,4898,0.841597650243126715885466637701,1,0.100000000000000005551115123126
539,539_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1233,1,0.002286822136550610215510737078,50,0.25
540,540_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,82,3941,3176,0.221226584010760674026130345737,1,0.005000000000000000104083408559
541,541_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1328,1,0.007542971305455265125516906011,50,0.25
542,542_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1273,1,0.001000000000000000020816681712,50,0.005000000000000000104083408559
543,543_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1119,1,0.814065493681150775806543151702,50,0.010000000000000000208166817117
544,544_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1313,1,0.001000000000000000020816681712,50,0.005000000000000000104083408559
545,545_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2529,1,0.001000000000000000020816681712,50,0.005000000000000000104083408559
546,546_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1261,1,0.001000000000000000020816681712,50,0.005000000000000000104083408559
547,547_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1268,1,0.9989999999999999991118215803,50,0.010000000000000000208166817117
548,548_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1241,1,0.004396298803823053998052206026,50,0.005000000000000000104083408559
549,549_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1299,1,0.001000000000000000020816681712,37,0.005000000000000000104083408559
550,550_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.460000000000000019984014443253,40,1480,4886,0.308500170043674082354101528836,50,0.005000000000000000104083408559
551,551_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1251,1,0.001000000000000000020816681712,50,0.005000000000000000104083408559
552,552_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.609999999999999986677323704498,230,1212,552,0.9989999999999999991118215803,50,0.010000000000000000208166817117
553,553_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.579999999999999960031971113494,93,4040,2202,0.9989999999999999991118215803,50,0.005000000000000000104083408559
554,554_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.320000000000000006661338147751,61,2548,1,0.001000000000000000020816681712,1,0.25
555,555_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1273,1,0.835201971567614886993169420748,50,0.005000000000000000104083408559
556,556_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.320000000000000006661338147751,47,3997,1,0.001000000000000000020816681712,1,0.050000000000000002775557561563
557,557_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1277,1,0.818226551567374227325046831538,50,0.005000000000000000104083408559
558,558_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.579999999999999960031971113494,94,3363,1327,0.188801102121698427538376563461,50,0.050000000000000002775557561563
559,559_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.589999999999999968913755310496,168,3371,1009,0.813842153604528939503381934628,50,0.005000000000000000104083408559
560,560_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.609999999999999986677323704498,200,1479,615,0.9989999999999999991118215803,44,0.005000000000000000104083408559
561,561_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2936,1,0.001000000000000000020816681712,37,0.050000000000000002775557561563
562,562_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2992,1,0.001000000000000000020816681712,39,0.25
563,563_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2907,1,0.001000000000000000020816681712,37,0.050000000000000002775557561563
564,564_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2878,1,0.9989999999999999991118215803,39,0.025000000000000001387778780781
565,565_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2899,1,0.001000000000000000020816681712,38,0.050000000000000002775557561563
566,566_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2909,1,0.9989999999999999991118215803,39,0.025000000000000001387778780781
567,567_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2914,1,0.001000000000000000020816681712,38,0.25
568,568_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2867,1,0.9989999999999999991118215803,38,0.025000000000000001387778780781
569,569_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2915,1,0.001000000000000000020816681712,39,0.050000000000000002775557561563
570,570_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.470000000000000028865798640254,45,1670,4350,0.774658600577105338480521368183,10,0.025000000000000001387778780781
571,571_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2900,1,0.062692692347069492453393024789,38,0.050000000000000002775557561563
572,572_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2795,19,0.9989999999999999991118215803,37,0.025000000000000001387778780781
573,573_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.600000000000000088817841970013,997,2904,50,0.001000000000000000020816681712,38,0.050000000000000002775557561563
574,574_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2890,1,0.9989999999999999991118215803,39,0.025000000000000001387778780781
575,575_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2968,1,0.001000000000000000020816681712,38,0.001000000000000000020816681712
576,576_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,88,4146,2973,0.607452686109176132056575170282,2,0.050000000000000002775557561563
577,577_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2877,1,0.9989999999999999991118215803,39,0.010000000000000000208166817117
578,578_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.600000000000000088817841970013,136,1714,1047,0.412626072298239832125688053566,19,0.050000000000000002775557561563
579,579_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.589999999999999968913755310496,123,1883,1532,0.140519922118221091134060429795,28,0.100000000000000005551115123126
580,580_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,55,2709,1250,0.204145180421658828384678940893,35,0.005000000000000000104083408559
581,581_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.579999999999999960031971113494,86,1561,1679,0.9989999999999999991118215803,16,0.100000000000000005551115123126
582,582_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,71,1559,2037,0.001000000000000000020816681712,4,0.001000000000000000020816681712
583,583_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.540000000000000035527136788005,72,1720,2953,0.524797862356759625690472148563,27,0.050000000000000002775557561563
584,584_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.589999999999999968913755310496,105,1243,963,0.001000000000000000020816681712,1,0.050000000000000002775557561563
585,585_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.600000000000000088817841970013,95,3998,1440,0.058916050266513371458376724377,50,0.25
586,586_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.520000000000000017763568394003,52,1653,2983,0.898492213313135557051225532632,41,0.050000000000000002775557561563
587,587_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3672,1,0.684130439691058467310824653396,50,0.005000000000000000104083408559
588,588_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,121,4328,2491,0.188272096297886937232846094048,10,0.025000000000000001387778780781
589,589_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1219,1,0.001000000000000000020816681712,12,0.025000000000000001387778780781
590,590_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.589999999999999968913755310496,141,1227,985,0.849283169384614344821216036507,38,0.050000000000000002775557561563
591,591_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.619999999999999995559107901499,191,1458,497,0.819930573812733154426268811221,19,0.025000000000000001387778780781
592,592_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.570000000000000062172489379009,80,3514,1700,0.828908822695276104042250153725,33,0.050000000000000002775557561563
593,593_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.600000000000000088817841970013,144,1898,1039,0.623019077628370387955669684743,31,0.010000000000000000208166817117
594,594_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,69,3013,1572,0.707373296837493170663435648748,22,0.005000000000000000104083408559
595,595_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.520000000000000017763568394003,74,1694,3575,0.554471478209584645036045458255,40,0.050000000000000002775557561563
596,596_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.589999999999999968913755310496,103,3008,946,0.606149230954711848440297217167,31,0.050000000000000002775557561563
597,597_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.600000000000000088817841970013,124,4085,1513,0.49459241158215244693607814952,35,0.050000000000000002775557561563
598,598_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.579999999999999960031971113494,95,4538,2147,0.740223609614996336247827457555,11,0.010000000000000000208166817117
599,599_0,FAILED,BoTorch,BOTORCH_MODULAR,,,957,1,0.847611624857968037893840573815,27,0.050000000000000002775557561563
600,600_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.600000000000000088817841970013,140,1570,989,0.956211082046512839127672123141,23,0.025000000000000001387778780781
601,601_0,FAILED,BoTorch,BOTORCH_MODULAR,,,921,1,0.7374119404308790981517063301,37,0.100000000000000005551115123126
602,602_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.609999999999999986677323704498,178,1082,638,0.426570839661309098023167507563,41,0.25
603,603_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1101,1,0.542710863333791038165543341165,42,0.100000000000000005551115123126
604,604_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.579999999999999960031971113494,99,4239,1819,0.001000000000000000020816681712,36,0.010000000000000000208166817117
605,605_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.479999999999999982236431605997,57,4832,4347,0.332580883093735180100480874898,1,0.001000000000000000020816681712
606,606_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1014,1,0.767027123985929981664355636894,37,0.25
607,607_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.540000000000000035527136788005,73,1784,3106,0.753376912221547789805242700822,23,0.010000000000000000208166817117
608,608_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,69,1667,2350,0.001000000000000000020816681712,18,0.25
609,609_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.489999999999999991118215802999,44,3669,4429,0.780048314418072985532148777565,46,0.010000000000000000208166817117
610,610_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1021,1,0.766129166927527527342078883521,37,0.25
611,611_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1243,1,0.133606134736232312620884954413,1,0.050000000000000002775557561563
612,612_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3679,1,0.770849736910836469405694515444,39,0.100000000000000005551115123126
613,613_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.589999999999999968913755310496,117,1475,1045,0.9989999999999999991118215803,18,0.050000000000000002775557561563
614,614_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.470000000000000028865798640254,42,1462,4646,0.001000000000000000020816681712,1,0.025000000000000001387778780781
615,615_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.540000000000000035527136788005,65,4095,3433,0.968698519898311904974264052726,20,0.001000000000000000020816681712
616,616_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1197,1,0.773335919063679377849496177078,38,0.100000000000000005551115123126
617,617_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3249,1,0.802265737947582380229505361058,38,0.010000000000000000208166817117
618,618_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1263,1,0.001000000000000000020816681712,10,0.025000000000000001387778780781
619,619_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1028,1,0.800600889233421542101609702513,37,0.001000000000000000020816681712
620,620_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.489999999999999991118215802999,53,1713,3734,0.001000000000000000020816681712,42,0.025000000000000001387778780781
621,621_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.470000000000000028865798640254,44,1599,4759,0.141970205776356328541965012846,17,0.025000000000000001387778780781
622,622_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.320000000000000006661338147751,45,1278,1,0.001000000000000000020816681712,1,0.001000000000000000020816681712
623,623_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.5,48,3809,4015,0.973419367844927219124429029762,14,0.010000000000000000208166817117
624,624_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.589999999999999968913755310496,91,4399,1948,0.9989999999999999991118215803,50,0.050000000000000002775557561563
625,625_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.5,48,3899,4056,0.9989999999999999991118215803,12,0.050000000000000002775557561563
626,626_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1714,1,0.798692407048741559449922533531,36,0.100000000000000005551115123126
627,627_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.600000000000000088817841970013,105,1575,1138,0.9989999999999999991118215803,50,0.100000000000000005551115123126
628,628_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.579999999999999960031971113494,93,1482,1373,0.12864656077819450197274875336,43,0.001000000000000000020816681712
629,629_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,74,1093,1594,0.032320777739681762208423521088,16,0.001000000000000000020816681712
630,630_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.520000000000000017763568394003,60,3690,3561,0.8522099730666806705059457272,34,0.025000000000000001387778780781
631,631_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3738,1,0.782690229017617533635586823948,40,0.010000000000000000208166817117
632,632_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.600000000000000088817841970013,152,1147,780,0.728177683020164390192974224192,29,0.100000000000000005551115123126
633,633_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.489999999999999991118215802999,48,5000,5000,0.671146118717867778968866332434,47,0.100000000000000005551115123126
634,634_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.510000000000000008881784197001,60,4998,3735,0.001000000000000000020816681712,50,0.25
635,635_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4707,1,0.813513751477055957472828140453,37,0.010000000000000000208166817117
636,636_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.589999999999999968913755310496,163,1107,905,0.001000000000000000020816681712,32,0.025000000000000001387778780781
637,637_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3273,1,0.786790498310724562003315440961,41,0.010000000000000000208166817117
638,638_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.479999999999999982236431605997,76,3691,4370,0.86240033541940730454911090419,29,0.001000000000000000020816681712
639,639_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.600000000000000088817841970013,1872,1298,69,0.780439572384673763139062430128,40,0.010000000000000000208166817117
640,640_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1319,270,0.9989999999999999991118215803,50,0.025000000000000001387778780781
641,641_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.609999999999999986677323704498,290,3101,269,0.9989999999999999991118215803,50,0.100000000000000005551115123126
642,642_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3312,270,0.9989999999999999991118215803,50,0.025000000000000001387778780781
643,643_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.600000000000000088817841970013,131,4016,1402,0.9989999999999999991118215803,50,0.010000000000000000208166817117
644,644_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.600000000000000088817841970013,114,2947,803,0.9989999999999999991118215803,50,0.025000000000000001387778780781
645,645_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.600000000000000088817841970013,138,3946,1231,0.001000000000000000020816681712,43,0.010000000000000000208166817117
646,646_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.619999999999999995559107901499,300,3314,260,0.269024451797957142584749590242,50,0.025000000000000001387778780781
647,647_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,71,4291,2719,0.9989999999999999991118215803,1,0.010000000000000000208166817117
648,648_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.450000000000000011102230246252,56,3527,3811,0.24557100415235219581511216802,1,0.010000000000000000208166817117
649,649_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.619999999999999995559107901499,212,1250,311,0.9989999999999999991118215803,50,0.005000000000000000104083408559
650,650_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.619999999999999995559107901499,286,3381,281,0.9989999999999999991118215803,50,0.005000000000000000104083408559
651,651_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.609999999999999986677323704498,1938,1166,84,0.764026982879914884350114334666,50,0.005000000000000000104083408559
652,652_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1156,29,0.387425961115542671908684724258,50,0.005000000000000000104083408559
653,653_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.609999999999999986677323704498,225,2719,302,0.9989999999999999991118215803,50,0.025000000000000001387778780781
654,654_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.5,66,4880,4082,0.691713709224799799812899436802,48,0.025000000000000001387778780781
655,655_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.600000000000000088817841970013,270,4515,1553,0.001000000000000000020816681712,50,0.001000000000000000020816681712
656,656_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.540000000000000035527136788005,52,4042,3554,0.9989999999999999991118215803,2,0.005000000000000000104083408559
657,657_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.619999999999999995559107901499,432,1618,281,0.645748855671260280075784976361,47,0.025000000000000001387778780781
658,658_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1220,296,0.659700288161630066241514214198,38,0.025000000000000001387778780781
659,659_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4954,287,0.643996506978077420946249276312,50,0.025000000000000001387778780781
660,660_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.619999999999999995559107901499,331,1710,322,0.681790081034168826690233800036,46,0.050000000000000002775557561563
661,661_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1232,323,0.692214079076246768806868203683,37,0.005000000000000000104083408559
662,662_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.570000000000000062172489379009,89,3982,2292,0.9989999999999999991118215803,13,0.25
663,663_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.579999999999999960031971113494,88,1775,1818,0.9989999999999999991118215803,40,0.025000000000000001387778780781
664,664_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1728,1,0.001000000000000000020816681712,45,0.025000000000000001387778780781
665,665_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.619999999999999995559107901499,146,3325,742,0.9989999999999999991118215803,43,0.050000000000000002775557561563
666,666_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.530000000000000026645352591004,59,1752,3395,0.280641569680610158954436883505,25,0.050000000000000002775557561563
667,667_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,117,4749,2428,0.001000000000000000020816681712,27,0.050000000000000002775557561563
668,668_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.5,63,4234,3780,0.9989999999999999991118215803,1,0.025000000000000001387778780781
669,669_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.579999999999999960031971113494,138,4381,1962,0.9989999999999999991118215803,1,0.001000000000000000020816681712
670,670_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.530000000000000026645352591004,60,2620,1237,0.9989999999999999991118215803,10,0.025000000000000001387778780781
671,671_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1226,289,0.02062701304010611941253117152,50,0.001000000000000000020816681712
672,672_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.540000000000000035527136788005,61,1790,3202,0.9989999999999999991118215803,25,0.050000000000000002775557561563
673,673_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.589999999999999968913755310496,122,4448,1736,0.001000000000000000020816681712,6,0.050000000000000002775557561563
674,674_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.540000000000000035527136788005,88,4584,3049,0.001000000000000000020816681712,46,0.050000000000000002775557561563
675,675_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,143,4547,2718,0.001000000000000000020816681712,39,0.001000000000000000020816681712
676,676_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3220,16,0.001000000000000000020816681712,44,0.025000000000000001387778780781
677,677_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.600000000000000088817841970013,118,1767,1172,0.9989999999999999991118215803,50,0.050000000000000002775557561563
678,678_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.589999999999999968913755310496,142,1764,1238,0.001000000000000000020816681712,50,0.025000000000000001387778780781
679,679_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1159,21,0.001000000000000000020816681712,42,0.025000000000000001387778780781
680,680_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.570000000000000062172489379009,103,3854,2209,0.9989999999999999991118215803,8,0.050000000000000002775557561563
681,681_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.579999999999999960031971113494,127,1400,1192,0.9989999999999999991118215803,3,0.100000000000000005551115123126
682,682_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,1615,698,0.001000000000000000020816681712,5,0.050000000000000002775557561563
683,683_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.579999999999999960031971113494,139,1613,1400,0.001000000000000000020816681712,50,0.005000000000000000104083408559
684,684_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.479999999999999982236431605997,44,1794,4937,0.001000000000000000020816681712,5,0.005000000000000000104083408559
685,685_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.479999999999999982236431605997,53,4654,3831,0.9989999999999999991118215803,1,0.050000000000000002775557561563
686,686_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,62,3285,1997,0.001000000000000000020816681712,15,0.050000000000000002775557561563
687,687_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.540000000000000035527136788005,73,3767,2694,0.521513434431213673825311616383,5,0.050000000000000002775557561563
688,688_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.530000000000000026645352591004,62,1649,2809,0.057067424846772518698401199799,8,0.050000000000000002775557561563
689,689_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.589999999999999968913755310496,98,4277,1721,0.933826475455907689671164462197,50,0.25
690,690_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,69,1841,2381,0.9989999999999999991118215803,34,0.100000000000000005551115123126
691,691_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.619999999999999995559107901499,160,4888,686,0.001000000000000000020816681712,1,0.025000000000000001387778780781
692,692_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.479999999999999982236431605997,46,3646,4517,0.547124812296080897944250409637,50,0.010000000000000000208166817117
693,693_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.589999999999999968913755310496,86,4389,1745,0.001000000000000000020816681712,7,0.025000000000000001387778780781
694,694_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1189,1,0.001000000000000000020816681712,41,0.025000000000000001387778780781
695,695_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1214,284,0.001000000000000000020816681712,50,0.010000000000000000208166817117
696,696_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.589999999999999968913755310496,140,1526,873,0.001000000000000000020816681712,1,0.010000000000000000208166817117
697,697_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.599999999999999977795539507497,148,3301,647,0.9989999999999999991118215803,45,0.025000000000000001387778780781
698,698_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.579999999999999960031971113494,95,3981,2170,0.001000000000000000020816681712,40,0.050000000000000002775557561563
699,699_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1197,1,0.001000000000000000020816681712,41,0.025000000000000001387778780781
700,700_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.540000000000000035527136788005,87,4688,2721,0.9989999999999999991118215803,50,0.050000000000000002775557561563
701,701_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3360,1,0.001000000000000000020816681712,44,0.025000000000000001387778780781
702,702_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1353,602,0.001000000000000000020816681712,27,0.100000000000000005551115123126
703,703_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.530000000000000026645352591004,52,1703,3472,0.363132534405471663063735832111,31,0.025000000000000001387778780781
704,704_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.540000000000000035527136788005,56,1841,2891,0.9989999999999999991118215803,29,0.100000000000000005551115123126
705,705_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.450000000000000011102230246252,61,3834,3904,0.910454352436511960000586896058,30,0.025000000000000001387778780781
706,706_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.540000000000000035527136788005,69,1788,2936,0.001000000000000000020816681712,22,0.025000000000000001387778780781
707,707_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.569999999999999951150186916493,74,4310,2225,0.001000000000000000020816681712,8,0.025000000000000001387778780781
708,708_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1186,1,0.9989999999999999991118215803,40,0.025000000000000001387778780781
709,709_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,69,4175,2542,0.001000000000000000020816681712,1,0.001000000000000000020816681712
710,710_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4834,282,0.001000000000000000020816681712,50,0.001000000000000000020816681712
711,711_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.520000000000000017763568394003,65,4044,3618,0.001000000000000000020816681712,1,0.001000000000000000020816681712
712,712_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3185,1,0.9989999999999999991118215803,50,0.025000000000000001387778780781
713,713_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.5,60,1168,3129,0.001000000000000000020816681712,5,0.025000000000000001387778780781
714,714_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.520000000000000017763568394003,58,3502,3319,0.001000000000000000020816681712,50,0.010000000000000000208166817117
715,715_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,79,4590,2708,0.001000000000000000020816681712,1,0.025000000000000001387778780781
716,716_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.569999999999999951150186916493,77,1790,1950,0.001000000000000000020816681712,1,0.025000000000000001387778780781
717,717_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.489999999999999991118215802999,66,4095,3994,0.001000000000000000020816681712,3,0.050000000000000002775557561563
718,718_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.450000000000000011102230246252,41,1253,5000,0.9989999999999999991118215803,1,0.050000000000000002775557561563
719,719_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.489999999999999991118215802999,54,3930,4523,0.9989999999999999991118215803,1,0.005000000000000000104083408559
720,720_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.479999999999999982236431605997,61,3980,4193,0.9989999999999999991118215803,1,0.005000000000000000104083408559
721,721_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.599999999999999977795539507497,134,4925,1297,0.9989999999999999991118215803,16,0.050000000000000002775557561563
722,722_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.489999999999999991118215802999,62,4611,4612,0.9989999999999999991118215803,50,0.025000000000000001387778780781
723,723_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.44000000000000000222044604925,49,1603,4232,0.9989999999999999991118215803,50,0.100000000000000005551115123126
724,724_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.489999999999999991118215802999,72,4734,4139,0.001000000000000000020816681712,1,0.050000000000000002775557561563
725,725_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.469999999999999973354647408996,46,3497,3985,0.001000000000000000020816681712,50,0.25
726,726_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.489999999999999991118215802999,51,4874,4663,0.001000000000000000020816681712,50,0.025000000000000001387778780781
727,727_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.469999999999999973354647408996,44,1663,5000,0.123862001657684003830262042811,1,0.050000000000000002775557561563
728,728_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.530000000000000026645352591004,72,4217,2858,0.9989999999999999991118215803,1,0.001000000000000000020816681712
729,729_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,77,4093,2482,0.9989999999999999991118215803,1,0.001000000000000000020816681712
730,730_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.609999999999999986677323704498,185,1587,685,0.001000000000000000020816681712,34,0.100000000000000005551115123126
731,731_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.479999999999999982236431605997,46,1736,4499,0.001000000000000000020816681712,1,0.050000000000000002775557561563
732,732_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.599999999999999977795539507497,129,1554,870,0.9989999999999999991118215803,1,0.25
733,733_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.479999999999999982236431605997,50,4007,4707,0.9989999999999999991118215803,1,0.025000000000000001387778780781
734,734_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.609999999999999986677323704498,396,1477,229,0.9989999999999999991118215803,50,0.050000000000000002775557561563
735,735_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.540000000000000035527136788005,68,4773,3426,0.9989999999999999991118215803,50,0.010000000000000000208166817117
736,736_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.540000000000000035527136788005,70,4771,3576,0.001000000000000000020816681712,50,0.25
737,737_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.599999999999999977795539507497,157,4702,1188,0.563677612832465091408096213854,18,0.005000000000000000104083408559
738,738_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.589999999999999968913755310496,105,1869,1589,0.9989999999999999991118215803,1,0.010000000000000000208166817117
739,739_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.469999999999999973354647408996,45,4848,4852,0.001000000000000000020816681712,1,0.100000000000000005551115123126
740,740_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.589999999999999968913755310496,92,4139,1784,0.9989999999999999991118215803,1,0.010000000000000000208166817117
741,741_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.489999999999999991118215802999,49,3994,4312,0.001000000000000000020816681712,50,0.025000000000000001387778780781
742,742_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.609999999999999986677323704498,249,1267,583,0.001000000000000000020816681712,30,0.005000000000000000104083408559
743,743_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,59,4035,3015,0.9989999999999999991118215803,16,0.25
744,744_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.460000000000000019984014443253,62,860,3047,0.9989999999999999991118215803,11,0.050000000000000002775557561563
745,745_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.609999999999999986677323704498,175,5000,715,0.9989999999999999991118215803,1,0.050000000000000002775557561563
746,746_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2968,1,0.001000000000000000020816681712,48,0.025000000000000001387778780781
747,747_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.569999999999999951150186916493,79,723,899,0.001000000000000000020816681712,22,0.25
748,748_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1205,1,0.001000000000000000020816681712,42,0.025000000000000001387778780781
749,749_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.5,61,1834,3657,0.979793846120969424973168315773,18,0.050000000000000002775557561563
750,750_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.579999999999999960031971113494,81,4277,1884,0.001000000000000000020816681712,50,0.025000000000000001387778780781
751,751_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.609999999999999986677323704498,141,1484,747,0.001000000000000000020816681712,16,0.050000000000000002775557561563
752,752_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.599999999999999977795539507497,140,4774,1322,0.001000000000000000020816681712,1,0.010000000000000000208166817117
753,753_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.540000000000000035527136788005,91,3760,2534,0.9989999999999999991118215803,50,0.050000000000000002775557561563
754,754_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,152,3859,2566,0.001000000000000000020816681712,50,0.001000000000000000020816681712
755,755_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.44000000000000000222044604925,46,1449,3955,0.503449646325924926593131658592,1,0.005000000000000000104083408559
756,756_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.540000000000000035527136788005,64,5000,2885,0.9989999999999999991118215803,50,0.025000000000000001387778780781
757,757_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.479999999999999982236431605997,45,3815,4430,0.9989999999999999991118215803,1,0.100000000000000005551115123126
758,758_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.489999999999999991118215802999,52,1824,3731,0.001000000000000000020816681712,1,0.025000000000000001387778780781
759,759_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,66,4801,2604,0.9989999999999999991118215803,1,0.100000000000000005551115123126
760,760_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.569999999999999951150186916493,94,4727,2382,0.9989999999999999991118215803,50,0.025000000000000001387778780781
761,761_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.540000000000000035527136788005,63,1848,3148,0.001000000000000000020816681712,50,0.010000000000000000208166817117
762,762_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.540000000000000035527136788005,70,3816,3149,0.9989999999999999991118215803,50,0.005000000000000000104083408559
763,763_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.589999999999999968913755310496,102,4711,1716,0.50238505058718385676286288799,34,0.025000000000000001387778780781
764,764_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,75,1792,2060,0.9989999999999999991118215803,50,0.25
765,765_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.569999999999999951150186916493,82,4149,2379,0.587152778705629874167470916291,1,0.005000000000000000104083408559
766,766_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.609999999999999986677323704498,202,4789,858,0.001000000000000000020816681712,13,0.001000000000000000020816681712
767,767_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.489999999999999991118215802999,61,1821,3714,0.9989999999999999991118215803,50,0.025000000000000001387778780781
768,768_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.609999999999999986677323704498,131,4324,1279,0.9989999999999999991118215803,50,0.025000000000000001387778780781
769,769_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.579999999999999960031971113494,79,4153,2126,0.001000000000000000020816681712,1,0.050000000000000002775557561563
770,770_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.540000000000000035527136788005,73,4607,3516,0.001000000000000000020816681712,1,0.050000000000000002775557561563
771,771_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.619999999999999995559107901499,218,4889,468,0.9989999999999999991118215803,1,0.001000000000000000020816681712
772,772_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.409999999999999975575093458247,34,936,3876,0.001000000000000000020816681712,50,0.025000000000000001387778780781
773,773_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.479999999999999982236431605997,45,3578,4081,0.001000000000000000020816681712,50,0.050000000000000002775557561563
774,774_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1286,1,0.9989999999999999991118215803,47,0.025000000000000001387778780781
775,775_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.489999999999999991118215802999,56,4237,5000,0.9989999999999999991118215803,32,0.005000000000000000104083408559
776,776_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.5,61,4156,4654,0.9989999999999999991118215803,50,0.001000000000000000020816681712
777,777_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,58,3946,3283,0.001000000000000000020816681712,1,0.025000000000000001387778780781
778,778_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.589999999999999968913755310496,103,1792,1676,0.505093020338126974522197087936,1,0.005000000000000000104083408559
779,779_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.489999999999999991118215802999,62,4073,4704,0.001000000000000000020816681712,1,0.050000000000000002775557561563
780,780_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.479999999999999982236431605997,59,5000,4477,0.9989999999999999991118215803,50,0.001000000000000000020816681712
781,781_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.609999999999999986677323704498,185,1729,751,0.9989999999999999991118215803,50,0.100000000000000005551115123126
782,782_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.479999999999999982236431605997,66,1907,4500,0.403047462081664087385490802262,1,0.100000000000000005551115123126
783,783_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.479999999999999982236431605997,57,3752,4111,0.9989999999999999991118215803,50,0.005000000000000000104083408559
784,784_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.489999999999999991118215802999,51,1828,4115,0.512609603024293813966494326451,1,0.010000000000000000208166817117
785,785_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.609999999999999986677323704498,167,3579,856,0.9989999999999999991118215803,38,0.005000000000000000104083408559
786,786_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.540000000000000035527136788005,78,1829,2801,0.001000000000000000020816681712,35,0.050000000000000002775557561563
787,787_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.579999999999999960031971113494,135,4635,1728,0.001000000000000000020816681712,50,0.005000000000000000104083408559
788,788_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.589999999999999968913755310496,101,1794,1477,0.9989999999999999991118215803,1,0.005000000000000000104083408559
789,789_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.489999999999999991118215802999,46,4153,4784,0.9989999999999999991118215803,1,0.25
790,790_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.579999999999999960031971113494,101,4040,1718,0.9989999999999999991118215803,23,0.005000000000000000104083408559
791,791_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.609999999999999986677323704498,138,4623,1054,0.001000000000000000020816681712,1,0.25
792,792_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.479999999999999982236431605997,45,4045,4830,0.001000000000000000020816681712,50,0.25
793,793_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.520000000000000017763568394003,52,1679,3404,0.9989999999999999991118215803,1,0.25
794,794_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.489999999999999991118215802999,54,1774,4429,0.001000000000000000020816681712,50,0.25
795,795_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.579999999999999960031971113494,104,1777,1835,0.535678370925082081299706260324,1,0.100000000000000005551115123126
796,796_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.599999999999999977795539507497,143,3586,724,0.510101953192440005224739252299,50,0.050000000000000002775557561563
797,797_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.530000000000000026645352591004,69,3080,1830,0.9989999999999999991118215803,50,0.100000000000000005551115123126
798,798_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.569999999999999951150186916493,79,3995,2280,0.36548447590373894788839947978,50,0.010000000000000000208166817117
799,799_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.609999999999999986677323704498,145,4819,967,0.9989999999999999991118215803,1,0.025000000000000001387778780781
800,800_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.469999999999999973354647408996,57,1815,3976,0.436711816346683379119752999031,50,0.005000000000000000104083408559
801,801_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.599999999999999977795539507497,114,4221,1365,0.384558552601063141640480580463,50,0.050000000000000002775557561563
802,802_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.569999999999999951150186916493,72,4509,2399,0.001000000000000000020816681712,1,0.005000000000000000104083408559
803,803_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.5,47,1850,4066,0.9989999999999999991118215803,1,0.005000000000000000104083408559
804,804_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.589999999999999968913755310496,139,4475,1387,0.001000000000000000020816681712,26,0.010000000000000000208166817117
805,805_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.569999999999999951150186916493,73,4075,2287,0.001000000000000000020816681712,42,0.050000000000000002775557561563
806,806_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.589999999999999968913755310496,110,2748,715,0.001000000000000000020816681712,36,0.050000000000000002775557561563
807,807_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3188,1,0.001000000000000000020816681712,50,0.025000000000000001387778780781
808,808_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.579999999999999960031971113494,93,4630,1633,0.001000000000000000020816681712,1,0.25
809,809_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.489999999999999991118215802999,61,4174,4171,0.001000000000000000020816681712,50,0.005000000000000000104083408559
810,810_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.460000000000000019984014443253,50,3894,4255,0.001000000000000000020816681712,1,0.010000000000000000208166817117
811,811_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.530000000000000026645352591004,58,4799,3453,0.001000000000000000020816681712,50,0.025000000000000001387778780781
812,812_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.589999999999999968913755310496,117,1476,1131,0.9989999999999999991118215803,2,0.050000000000000002775557561563
813,813_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.489999999999999991118215802999,55,1742,4674,0.415228446503523973554194981261,50,0.005000000000000000104083408559
814,814_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.479999999999999982236431605997,53,4140,4330,0.9989999999999999991118215803,50,0.050000000000000002775557561563
815,815_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.530000000000000026645352591004,69,4403,3431,0.480643545735968458210152221,50,0.001000000000000000020816681712
816,816_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.589999999999999968913755310496,99,1769,1660,0.9989999999999999991118215803,34,0.050000000000000002775557561563
817,817_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.469999999999999973354647408996,65,4797,3879,0.9989999999999999991118215803,50,0.025000000000000001387778780781
818,818_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1365,1,0.9989999999999999991118215803,47,0.025000000000000001387778780781
819,819_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.479999999999999982236431605997,50,1753,4549,0.001000000000000000020816681712,26,0.25
820,820_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.530000000000000026645352591004,52,1741,3503,0.9989999999999999991118215803,1,0.25
821,821_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.489999999999999991118215802999,57,4356,5000,0.508908257618859827253743333131,1,0.025000000000000001387778780781
822,822_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.589999999999999968913755310496,85,3538,1321,0.713576605364549254595374350174,1,0.25
823,823_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.530000000000000026645352591004,55,1818,3235,0.9989999999999999991118215803,50,0.050000000000000002775557561563
824,824_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.460000000000000019984014443253,52,4695,4284,0.9989999999999999991118215803,1,0.001000000000000000020816681712
825,825_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4897,1,0.9989999999999999991118215803,1,0.025000000000000001387778780781
826,826_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.609999999999999986677323704498,206,4377,937,0.001000000000000000020816681712,50,0.025000000000000001387778780781
827,827_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.479999999999999982236431605997,43,4277,4882,0.9989999999999999991118215803,18,0.025000000000000001387778780781
828,828_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.479999999999999982236431605997,47,1758,4646,0.9989999999999999991118215803,1,0.005000000000000000104083408559
829,829_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.479999999999999982236431605997,62,3976,3845,0.399752357120853551997186059452,16,0.050000000000000002775557561563
830,830_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.479999999999999982236431605997,63,4020,4545,0.9989999999999999991118215803,50,0.25
831,831_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.460000000000000019984014443253,66,1830,3883,0.001000000000000000020816681712,1,0.025000000000000001387778780781
832,832_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2664,1,0.001000000000000000020816681712,50,0.025000000000000001387778780781
833,833_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.599999999999999977795539507497,117,3451,997,0.9989999999999999991118215803,29,0.050000000000000002775557561563
834,834_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.540000000000000035527136788005,69,4243,2815,0.438811400942881735254275099578,1,0.25
835,835_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.609999999999999986677323704498,167,1667,745,0.9989999999999999991118215803,43,0.010000000000000000208166817117
836,836_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.579999999999999960031971113494,90,4004,1963,0.001000000000000000020816681712,1,0.050000000000000002775557561563
837,837_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.579999999999999960031971113494,83,1842,1849,0.001000000000000000020816681712,1,0.005000000000000000104083408559
838,838_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.609999999999999986677323704498,114,4160,1201,0.9989999999999999991118215803,29,0.050000000000000002775557561563
839,839_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.479999999999999982236431605997,52,4487,4911,0.001000000000000000020816681712,50,0.050000000000000002775557561563
840,840_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2656,1,0.001000000000000000020816681712,50,0.025000000000000001387778780781
841,841_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.599999999999999977795539507497,109,1729,1282,0.001000000000000000020816681712,50,0.100000000000000005551115123126
842,842_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.540000000000000035527136788005,58,1766,3230,0.9989999999999999991118215803,36,0.100000000000000005551115123126
843,843_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.409999999999999975575093458247,36,2860,4930,0.001000000000000000020816681712,1,0.025000000000000001387778780781
844,844_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.469999999999999973354647408996,57,4176,4230,0.683034944221381778994839351071,50,0.005000000000000000104083408559
845,845_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,67,1791,2293,0.001000000000000000020816681712,1,0.005000000000000000104083408559
846,846_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.540000000000000035527136788005,65,4689,2947,0.001000000000000000020816681712,1,0.005000000000000000104083408559
847,847_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1300,1,0.9989999999999999991118215803,49,0.025000000000000001387778780781
848,848_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.479999999999999982236431605997,54,1737,4145,0.9989999999999999991118215803,30,0.050000000000000002775557561563
849,849_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.489999999999999991118215802999,54,1763,3712,0.315658020772085878835611083559,1,0.025000000000000001387778780781
850,850_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.540000000000000035527136788005,67,4869,2979,0.9989999999999999991118215803,50,0.100000000000000005551115123126
851,851_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.609999999999999986677323704498,157,1240,485,0.9989999999999999991118215803,34,0.100000000000000005551115123126
852,852_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.609999999999999986677323704498,165,4197,764,0.9989999999999999991118215803,50,0.001000000000000000020816681712
853,853_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.609999999999999986677323704498,161,4817,843,0.267238103157458994907358373894,1,0.25
854,854_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.579999999999999960031971113494,125,1418,1335,0.9989999999999999991118215803,1,0.050000000000000002775557561563
855,855_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.619999999999999995559107901499,211,3259,308,0.814937805956197025558651603205,47,0.010000000000000000208166817117
856,856_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.540000000000000035527136788005,73,4308,3352,0.679738318889548942536293907324,19,0.25
857,857_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.599999999999999977795539507497,243,3166,722,0.001000000000000000020816681712,40,0.005000000000000000104083408559
858,858_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.569999999999999951150186916493,102,1724,1993,0.35695655493792877166470134398,50,0.025000000000000001387778780781
859,859_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.579999999999999960031971113494,88,1762,1878,0.9989999999999999991118215803,10,0.050000000000000002775557561563
860,860_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.609999999999999986677323704498,153,4748,937,0.9989999999999999991118215803,8,0.050000000000000002775557561563
861,861_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.609999999999999986677323704498,200,1475,730,0.9989999999999999991118215803,12,0.100000000000000005551115123126
862,862_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.540000000000000035527136788005,60,1760,2942,0.9989999999999999991118215803,1,0.001000000000000000020816681712
863,863_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.579999999999999960031971113494,106,4696,1980,0.9989999999999999991118215803,42,0.001000000000000000020816681712
864,864_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.320000000000000006661338147751,20,1,5000,0.001000000000000000020816681712,1,0.010000000000000000208166817117
865,865_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.609999999999999986677323704498,199,1284,542,0.9989999999999999991118215803,30,0.050000000000000002775557561563
866,866_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.30999999999999999777955395075,23,1,2729,0.001000000000000000020816681712,1,0.100000000000000005551115123126
867,867_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.520000000000000017763568394003,65,4649,3634,0.9989999999999999991118215803,50,0.100000000000000005551115123126
868,868_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.489999999999999991118215802999,47,4147,5000,0.001000000000000000020816681712,27,0.010000000000000000208166817117
869,869_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.599999999999999977795539507497,104,857,746,0.9989999999999999991118215803,49,0.010000000000000000208166817117
870,870_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.569999999999999951150186916493,86,4298,2235,0.9989999999999999991118215803,50,0.050000000000000002775557561563
871,871_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.540000000000000035527136788005,79,4793,2635,0.9989999999999999991118215803,50,0.25
872,872_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.489999999999999991118215802999,52,4093,4404,0.001000000000000000020816681712,1,0.025000000000000001387778780781
873,873_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.479999999999999982236431605997,58,1742,3725,0.9989999999999999991118215803,22,0.25
874,874_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.530000000000000026645352591004,50,1753,3510,0.450952960433276428542370695141,1,0.025000000000000001387778780781
875,875_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.429999999999999993338661852249,40,1055,4931,0.9989999999999999991118215803,50,0.025000000000000001387778780781
876,876_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.599999999999999977795539507497,142,4195,1086,0.212089080540408009278863232794,50,0.001000000000000000020816681712
877,877_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.540000000000000035527136788005,67,3912,2789,0.9989999999999999991118215803,23,0.005000000000000000104083408559
878,878_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2772,1,0.9989999999999999991118215803,50,0.025000000000000001387778780781
879,879_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1075,283,0.001000000000000000020816681712,50,0.25
880,880_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.579999999999999960031971113494,113,4391,2109,0.001000000000000000020816681712,50,0.050000000000000002775557561563
881,881_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2666,1,0.001000000000000000020816681712,50,0.025000000000000001387778780781
882,882_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.579999999999999960031971113494,106,4250,1872,0.767956766383247724228056085849,50,0.25
883,883_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.609999999999999986677323704498,180,1672,750,0.9989999999999999991118215803,50,0.050000000000000002775557561563
884,884_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.5,47,1164,3122,0.001000000000000000020816681712,5,0.050000000000000002775557561563
885,885_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.479999999999999982236431605997,101,3715,4922,0.001000000000000000020816681712,24,0.001000000000000000020816681712
886,886_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.609999999999999986677323704498,198,1063,462,0.9989999999999999991118215803,38,0.005000000000000000104083408559
887,887_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3107,1,0.001000000000000000020816681712,50,0.025000000000000001387778780781
888,888_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.609999999999999986677323704498,181,1696,743,0.9989999999999999991118215803,50,0.025000000000000001387778780781
889,889_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.569999999999999951150186916493,92,1702,2040,0.9989999999999999991118215803,12,0.050000000000000002775557561563
890,890_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.599999999999999977795539507497,125,1820,1217,0.9989999999999999991118215803,4,0.050000000000000002775557561563
891,891_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4956,1,0.9989999999999999991118215803,1,0.025000000000000001387778780781
892,892_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.609999999999999986677323704498,330,1497,478,0.001000000000000000020816681712,28,0.001000000000000000020816681712
893,893_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.579999999999999960031971113494,106,4057,1703,0.9989999999999999991118215803,50,0.050000000000000002775557561563
894,894_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.530000000000000026645352591004,60,1737,3507,0.9989999999999999991118215803,50,0.010000000000000000208166817117
895,895_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.540000000000000035527136788005,78,1813,3072,0.9989999999999999991118215803,1,0.100000000000000005551115123126
896,896_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.540000000000000035527136788005,62,4154,3504,0.001000000000000000020816681712,8,0.005000000000000000104083408559
897,897_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.569999999999999951150186916493,96,4258,2189,0.206335836891812035576165840212,1,0.010000000000000000208166817117
898,898_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,85,1781,3273,0.497227059290200001928639039761,50,0.001000000000000000020816681712
899,899_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.609999999999999986677323704498,209,4895,745,0.516092247167975193278266488051,50,0.050000000000000002775557561563
900,900_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.5,54,4901,4041,0.481219167597033592453925621157,1,0.050000000000000002775557561563
901,901_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.619999999999999995559107901499,273,1297,281,0.001000000000000000020816681712,50,0.25
902,902_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,66,4568,3188,0.9989999999999999991118215803,14,0.010000000000000000208166817117
903,903_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.569999999999999951150186916493,104,4200,2370,0.9989999999999999991118215803,50,0.001000000000000000020816681712
904,904_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4890,6,0.001000000000000000020816681712,26,0.025000000000000001387778780781
905,905_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.599999999999999977795539507497,497,4836,1145,0.001000000000000000020816681712,50,0.001000000000000000020816681712
906,906_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.619999999999999995559107901499,237,4876,526,0.655079450375493088642997463467,26,0.025000000000000001387778780781
907,907_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.609999999999999986677323704498,272,4657,507,0.9989999999999999991118215803,50,0.010000000000000000208166817117
908,908_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,92,4011,2649,0.9989999999999999991118215803,1,0.025000000000000001387778780781
909,909_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,71,1837,2391,0.9989999999999999991118215803,1,0.25
910,910_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.540000000000000035527136788005,68,4655,2889,0.001000000000000000020816681712,50,0.010000000000000000208166817117
911,911_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.479999999999999982236431605997,72,4291,4562,0.001000000000000000020816681712,50,0.001000000000000000020816681712
912,912_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.479999999999999982236431605997,60,5000,4548,0.395506779999084456811431209644,25,0.010000000000000000208166817117
913,913_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,77,1900,2601,0.386739065631536149680869129952,1,0.010000000000000000208166817117
914,914_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.579999999999999960031971113494,108,1714,1557,0.9989999999999999991118215803,1,0.050000000000000002775557561563
915,915_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.460000000000000019984014443253,51,1363,4804,0.445209977165536785470578706736,1,0.025000000000000001387778780781
916,916_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.479999999999999982236431605997,68,1856,4839,0.9989999999999999991118215803,1,0.025000000000000001387778780781
917,917_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.530000000000000026645352591004,58,1742,3391,0.398925914106763090938301274946,1,0.010000000000000000208166817117
918,918_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.520000000000000017763568394003,71,1748,3574,0.365709809920307660213723011111,1,0.010000000000000000208166817117
919,919_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.530000000000000026645352591004,64,1795,3392,0.9989999999999999991118215803,29,0.025000000000000001387778780781
920,920_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.469999999999999973354647408996,52,4169,4217,0.568264867841226539724175381707,1,0.050000000000000002775557561563
921,921_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.460000000000000019984014443253,42,1700,4853,0.644809199441345848313744681946,50,0.010000000000000000208166817117
922,922_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.599999999999999977795539507497,124,4166,1287,0.59819554637043037548238544332,26,0.25
923,923_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.579999999999999960031971113494,77,1799,2044,0.458150222837972354028579502483,1,0.005000000000000000104083408559
924,924_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.530000000000000026645352591004,95,4086,2842,0.001000000000000000020816681712,1,0.001000000000000000020816681712
925,925_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.609999999999999986677323704498,200,1781,632,0.365864186211943498427956455998,1,0.050000000000000002775557561563
926,926_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.599999999999999977795539507497,170,3839,1211,0.9989999999999999991118215803,12,0.25
927,927_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.589999999999999968913755310496,166,3818,1270,0.515276612128078626007265938824,1,0.025000000000000001387778780781
928,928_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.489999999999999991118215802999,55,1803,4023,0.001000000000000000020816681712,23,0.005000000000000000104083408559
929,929_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.609999999999999986677323704498,656,4771,205,0.001000000000000000020816681712,1,0.025000000000000001387778780781
930,930_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.530000000000000026645352591004,68,4708,3396,0.001000000000000000020816681712,50,0.010000000000000000208166817117
931,931_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.569999999999999951150186916493,91,1850,2349,0.180790466838424035422860924882,1,0.050000000000000002775557561563
932,932_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.530000000000000026645352591004,73,1800,2811,0.767928435819160370989777675277,1,0.010000000000000000208166817117
933,933_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.479999999999999982236431605997,52,4698,4560,0.9989999999999999991118215803,1,0.001000000000000000020816681712
934,934_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.489999999999999991118215802999,61,1799,3697,0.509903028356040954882644200552,1,0.005000000000000000104083408559
935,935_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.619999999999999995559107901499,226,4486,720,0.9989999999999999991118215803,30,0.010000000000000000208166817117
936,936_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.619999999999999995559107901499,179,4659,695,0.9989999999999999991118215803,31,0.100000000000000005551115123126
937,937_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.619999999999999995559107901499,193,4742,689,0.001000000000000000020816681712,11,0.005000000000000000104083408559
938,938_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.609999999999999986677323704498,222,4739,806,0.9989999999999999991118215803,1,0.050000000000000002775557561563
939,939_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.540000000000000035527136788005,60,4895,3115,0.475434545689364329579262857806,50,0.100000000000000005551115123126
940,940_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.510000000000000008881784197001,75,3123,2616,0.001000000000000000020816681712,1,0.25
941,941_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.450000000000000011102230246252,37,1115,4528,0.001000000000000000020816681712,1,0.025000000000000001387778780781
942,942_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.479999999999999982236431605997,56,1770,4503,0.001000000000000000020816681712,40,0.050000000000000002775557561563
943,943_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.579999999999999960031971113494,90,1573,1649,0.661250464437342921897311498469,50,0.100000000000000005551115123126
944,944_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.599999999999999977795539507497,165,4318,972,0.001000000000000000020816681712,24,0.005000000000000000104083408559
945,945_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.460000000000000019984014443253,59,1453,5000,0.435209130631593998916883947459,50,0.005000000000000000104083408559
946,946_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.540000000000000035527136788005,54,3717,3301,0.001000000000000000020816681712,50,0.025000000000000001387778780781
947,947_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.540000000000000035527136788005,78,1863,2717,0.001000000000000000020816681712,50,0.025000000000000001387778780781
948,948_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.609999999999999986677323704498,128,1173,785,0.9989999999999999991118215803,1,0.001000000000000000020816681712
949,949_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.489999999999999991118215802999,57,4075,4776,0.001000000000000000020816681712,22,0.010000000000000000208166817117
950,950_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.510000000000000008881784197001,63,1295,2804,0.001000000000000000020816681712,1,0.010000000000000000208166817117
951,951_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.419999999999999984456877655248,38,2711,3828,0.9989999999999999991118215803,24,0.001000000000000000020816681712
952,952_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.479999999999999982236431605997,72,4842,4539,0.9989999999999999991118215803,1,0.025000000000000001387778780781
953,953_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.579999999999999960031971113494,104,4346,2072,0.001000000000000000020816681712,1,0.025000000000000001387778780781
954,954_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.530000000000000026645352591004,60,3799,3204,0.001000000000000000020816681712,23,0.100000000000000005551115123126
955,955_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.489999999999999991118215802999,65,4982,4099,0.001000000000000000020816681712,1,0.025000000000000001387778780781
956,956_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.530000000000000026645352591004,83,3992,2773,0.9989999999999999991118215803,30,0.100000000000000005551115123126
957,957_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.479999999999999982236431605997,44,4757,4815,0.001000000000000000020816681712,50,0.050000000000000002775557561563
958,958_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.479999999999999982236431605997,58,4257,4913,0.704552268503417566947177874681,50,0.010000000000000000208166817117
959,959_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.569999999999999951150186916493,71,1804,2140,0.9989999999999999991118215803,36,0.005000000000000000104083408559
960,960_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.540000000000000035527136788005,63,3845,3198,0.001000000000000000020816681712,50,0.025000000000000001387778780781
961,961_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.510000000000000008881784197001,61,4788,3667,0.001000000000000000020816681712,23,0.100000000000000005551115123126
962,962_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.589999999999999968913755310496,101,1284,1126,0.9989999999999999991118215803,1,0.025000000000000001387778780781
963,963_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.589999999999999968913755310496,136,4398,1212,0.9989999999999999991118215803,50,0.100000000000000005551115123126
964,964_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.530000000000000026645352591004,56,1788,3221,0.9989999999999999991118215803,1,0.050000000000000002775557561563
965,965_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,76,4795,2699,0.578274558316738240826282435592,50,0.010000000000000000208166817117
966,966_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.469999999999999973354647408996,50,1741,3761,0.541985683316674293763526293333,50,0.010000000000000000208166817117
967,967_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.479999999999999982236431605997,45,1649,4745,0.001000000000000000020816681712,50,0.100000000000000005551115123126
968,968_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.589999999999999968913755310496,101,1713,1490,0.9989999999999999991118215803,50,0.050000000000000002775557561563
969,969_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.540000000000000035527136788005,94,4012,2755,0.001000000000000000020816681712,1,0.010000000000000000208166817117
970,970_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.609999999999999986677323704498,178,5000,923,0.9989999999999999991118215803,28,0.050000000000000002775557561563
971,971_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.400000000000000022204460492503,33,614,4077,0.499451969056397326873764086486,50,0.001000000000000000020816681712
972,972_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.479999999999999982236431605997,70,4052,4323,0.557387484391451804022210581024,50,0.100000000000000005551115123126
973,973_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.460000000000000019984014443253,52,1743,3802,0.580293274892709098899956643436,18,0.001000000000000000020816681712
974,974_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.540000000000000035527136788005,60,4063,3143,0.001000000000000000020816681712,1,0.050000000000000002775557561563
975,975_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.479999999999999982236431605997,47,1596,4963,0.001000000000000000020816681712,50,0.050000000000000002775557561563
976,976_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.489999999999999991118215802999,50,1729,4473,0.9989999999999999991118215803,50,0.100000000000000005551115123126
977,977_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.540000000000000035527136788005,52,5000,3479,0.767427884703277052302894389868,1,0.001000000000000000020816681712
978,978_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,79,1881,2319,0.9989999999999999991118215803,1,0.025000000000000001387778780781
979,979_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.609999999999999986677323704498,205,1111,532,0.9989999999999999991118215803,1,0.001000000000000000020816681712
980,980_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.460000000000000019984014443253,57,1852,4238,0.714304261352410208019136916846,1,0.010000000000000000208166817117
981,981_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.530000000000000026645352591004,65,1883,2807,0.9989999999999999991118215803,20,0.025000000000000001387778780781
982,982_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.469999999999999973354647408996,115,3933,4432,0.001000000000000000020816681712,19,0.005000000000000000104083408559
983,983_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.469999999999999973354647408996,50,4266,3931,0.537037090005745065823816730699,23,0.25
984,984_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.460000000000000019984014443253,45,1844,3957,0.9989999999999999991118215803,1,0.100000000000000005551115123126
985,985_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.460000000000000019984014443253,45,3677,3796,0.9989999999999999991118215803,50,0.001000000000000000020816681712
986,986_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.579999999999999960031971113494,97,1624,1548,0.001000000000000000020816681712,4,0.050000000000000002775557561563
987,987_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.450000000000000011102230246252,55,3465,5000,0.488488369911278974555557397252,1,0.100000000000000005551115123126
988,988_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.419999999999999984456877655248,37,818,3951,0.001000000000000000020816681712,49,0.050000000000000002775557561563
989,989_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.579999999999999960031971113494,82,1882,1863,0.001000000000000000020816681712,1,0.025000000000000001387778780781
990,990_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.469999999999999973354647408996,62,3961,3798,0.9989999999999999991118215803,1,0.010000000000000000208166817117
991,991_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.489999999999999991118215802999,60,4691,3787,0.001000000000000000020816681712,50,0.050000000000000002775557561563
992,992_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.579999999999999960031971113494,89,4578,1801,0.001000000000000000020816681712,50,0.025000000000000001387778780781
993,993_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.489999999999999991118215802999,52,1846,4593,0.779445835481064608352141931391,1,0.005000000000000000104083408559
994,994_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,82,1803,2288,0.472098859628539924138124206365,50,0.25
995,995_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,80,1830,2198,0.001000000000000000020816681712,20,0.100000000000000005551115123126
996,996_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.489999999999999991118215802999,46,3696,4436,0.9989999999999999991118215803,50,0.050000000000000002775557561563
997,997_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.479999999999999982236431605997,50,1633,4786,0.9989999999999999991118215803,50,0.050000000000000002775557561563
998,998_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.489999999999999991118215802999,45,4085,5000,0.9989999999999999991118215803,29,0.050000000000000002775557561563
999,999_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.520000000000000017763568394003,53,1737,3398,0.001000000000000000020816681712,50,0.050000000000000002775557561563
1000,1000_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.5,53,4895,3718,0.001000000000000000020816681712,1,0.100000000000000005551115123126
1001,1001_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.469999999999999973354647408996,63,5000,3900,0.9989999999999999991118215803,1,0.25
1002,1002_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.469999999999999973354647408996,45,3920,4571,0.9989999999999999991118215803,26,0.050000000000000002775557561563
1003,1003_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.540000000000000035527136788005,73,1759,3308,0.9989999999999999991118215803,50,0.050000000000000002775557561563
1004,1004_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.579999999999999960031971113494,96,1836,1746,0.001000000000000000020816681712,9,0.001000000000000000020816681712
1005,1005_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.450000000000000011102230246252,57,933,3598,0.9989999999999999991118215803,1,0.025000000000000001387778780781
1006,1006_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.530000000000000026645352591004,63,1728,2801,0.341032774983084485675988162257,1,0.025000000000000001387778780781
1007,1007_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.589999999999999968913755310496,102,1880,1497,0.456212472738670771210678367424,1,0.001000000000000000020816681712
1008,1008_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.609999999999999986677323704498,154,1708,962,0.289727868282613598704955393259,50,0.010000000000000000208166817117
1009,1009_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,97,4643,2354,0.426320795312254363640391829904,28,0.001000000000000000020816681712
1010,1010_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.589999999999999968913755310496,104,1811,1664,0.001000000000000000020816681712,1,0.025000000000000001387778780781
1011,1011_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,69,4398,2441,0.9989999999999999991118215803,22,0.001000000000000000020816681712
1012,1012_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4796,1,0.9989999999999999991118215803,50,0.025000000000000001387778780781
1013,1013_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.609999999999999986677323704498,193,4696,706,0.9989999999999999991118215803,33,0.025000000000000001387778780781
1014,1014_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.489999999999999991118215802999,50,3653,4719,0.001000000000000000020816681712,50,0.050000000000000002775557561563
1015,1015_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.469999999999999973354647408996,75,4942,4218,0.001000000000000000020816681712,23,0.025000000000000001387778780781
1016,1016_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.609999999999999986677323704498,116,1266,806,0.9989999999999999991118215803,1,0.005000000000000000104083408559
1017,1017_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.540000000000000035527136788005,96,4097,2949,0.9989999999999999991118215803,16,0.005000000000000000104083408559
1018,1018_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.530000000000000026645352591004,66,3458,2258,0.711644893395583566508832973341,20,0.050000000000000002775557561563
1019,1019_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.579999999999999960031971113494,81,1619,1856,0.9989999999999999991118215803,31,0.005000000000000000104083408559
1020,1020_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.489999999999999991118215802999,53,1783,4011,0.9989999999999999991118215803,50,0.25
1021,1021_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.599999999999999977795539507497,113,3411,976,0.466702056629812289667569302765,1,0.010000000000000000208166817117
1022,1022_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.530000000000000026645352591004,70,1773,3061,0.9989999999999999991118215803,50,0.001000000000000000020816681712
1023,1023_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.609999999999999986677323704498,144,4043,1175,0.9989999999999999991118215803,28,0.025000000000000001387778780781
1024,1024_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.540000000000000035527136788005,61,4130,3462,0.9989999999999999991118215803,6,0.005000000000000000104083408559
1025,1025_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.479999999999999982236431605997,39,1616,4676,0.9989999999999999991118215803,24,0.100000000000000005551115123126
1026,1026_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.609999999999999986677323704498,127,3481,848,0.9989999999999999991118215803,1,0.005000000000000000104083408559
1027,1027_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.540000000000000035527136788005,62,3949,3216,0.001000000000000000020816681712,20,0.025000000000000001387778780781
1028,1028_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.479999999999999982236431605997,67,4206,4941,0.9989999999999999991118215803,1,0.010000000000000000208166817117
1029,1029_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.569999999999999951150186916493,69,4218,2192,0.001000000000000000020816681712,1,0.025000000000000001387778780781
1030,1030_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.540000000000000035527136788005,50,1738,3275,0.001000000000000000020816681712,32,0.25
1031,1031_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.569999999999999951150186916493,87,1028,1345,0.260453217544111936820883101973,50,0.25
1032,1032_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.599999999999999977795539507497,114,1889,1334,0.264854246516290914303937142904,50,0.010000000000000000208166817117
1033,1033_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.609999999999999986677323704498,381,1166,199,0.9989999999999999991118215803,50,0.010000000000000000208166817117
1034,1034_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.609999999999999986677323704498,159,1662,624,0.9989999999999999991118215803,27,0.050000000000000002775557561563
1035,1035_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.530000000000000026645352591004,62,1818,3064,0.464893940753763557083289015281,1,0.010000000000000000208166817117
1036,1036_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.579999999999999960031971113494,94,4322,2165,0.9989999999999999991118215803,29,0.025000000000000001387778780781
1037,1037_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.460000000000000019984014443253,57,1681,4183,0.510523082873482580978929945559,50,0.010000000000000000208166817117
1038,1038_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.479999999999999982236431605997,61,3831,4143,0.514100220552603071055841610359,22,0.25
1039,1039_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.540000000000000035527136788005,94,3958,3048,0.9989999999999999991118215803,1,0.025000000000000001387778780781
1040,1040_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.609999999999999986677323704498,224,2683,249,0.679052774147129722948079688649,50,0.005000000000000000104083408559
1041,1041_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.489999999999999991118215802999,64,405,1304,0.034841147825029124274198721878,1,0.050000000000000002775557561563
1042,1042_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.609999999999999986677323704498,103,3375,865,0.520968817493783098449000590335,1,0.050000000000000002775557561563
1043,1043_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.489999999999999991118215802999,46,1781,4687,0.528414158707825820648906756105,1,0.025000000000000001387778780781
1044,1044_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.469999999999999973354647408996,43,1706,4602,0.504277091580284442251524978929,50,0.050000000000000002775557561563
1045,1045_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,86,5000,2351,0.001000000000000000020816681712,1,0.025000000000000001387778780781
1046,1046_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.589999999999999968913755310496,123,1788,1118,0.9989999999999999991118215803,50,0.005000000000000000104083408559
1047,1047_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.479999999999999982236431605997,51,1724,4466,0.562369390503925647983862745605,33,0.005000000000000000104083408559
1048,1048_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.5,106,1717,3539,0.001000000000000000020816681712,34,0.001000000000000000020816681712
1049,1049_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.609999999999999986677323704498,182,3927,996,0.367589279616386654936377453851,1,0.050000000000000002775557561563
1050,1050_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,3510,4321,0.9989999999999999991118215803,50,0.025000000000000001387778780781
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<!DOCTYPE html>
<html lang='en'>
<head>
<meta charset='UTF-8'>
<meta name='viewport' content='width=device-width, initial-scale=1.0'>
<title>Exported »s4122485/CSDDM_RialtoBridgeTimelapse_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1« from OmniOpt2-Share</title>
<script src='https://code.jquery.com/jquery-3.7.1.js'></script>
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margin-bottom: 2rem;
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border: 4px solid #f3f3f3;
border-top: 4px solid #3498db;
border-radius: 50%;
width: 40px;
height: 40px;
animation: spin 2s linear infinite;
margin: auto;
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@keyframes spin {
0% { transform: rotate(0deg); }
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padding: 5px 32px 32px 5px;
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border: 1px solid black;
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font-family: sans-serif;
background-color: #fafafa;
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justify-content: center;
align-items: center;
height: 100%;
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color: white;
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background-color: #f8f9fa;
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border-top: 1px solid #dee2e6;
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width: 65px;
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margin-top: 20px;
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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:
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padding-left: 40px;
box-sizing: border-box;
}
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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 {
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border-color: #2980b9;
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color: white;
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flex: 1 1 auto;
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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 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}
: :-webkit-scrollbar-button: vertical: end{
height: 17px;
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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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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
}
menu[role=tablist] button{
background: linear-gradient(180deg,#fff,#fafaf9 26%,#f0f0ea 95%,#ecebe5);
margin-left: -1px;
margin-right: 2px;
border-radius: 0;
border-color: #91a7b4;
border-top-right-radius: 3px;
border-top-left-radius: 3px;
padding: 0 12px 3px
}
menu[role=tablist] button: hover{
box-shadow: unset;
border-top: 1px solid #e68b2c;
box-shadow: inset 0 2px #ffc73c
}
menu[role=tablist] button[aria-selected=true]{
border-color: #919b9c;
margin-right: -1px;
border-bottom: 1px solid transparent;
border-top: 1px solid #e68b2c;
box-shadow: inset 0 2px #ffc73c
}
menu[role=tablist] button[aria-selected=true]: first-of-type: before{
content: "";
display: block;
position: absolute;
z-index: -1;
top: 100%;
left: -1px;
height: 2px;
width: 0;
border-left: 1px solid #919b9c
}
[role=tabpanel]{
box-shadow: inset 1px 1px #fcfcfe,inset -1px -1px #fcfcfe,1px 2px 2px 0 rgba(208,206,191,.75)
}
ul.tree-view{
-webkit-font-smoothing: auto;
border: 1px solid #7f9db9;
padding: 2px 5px
}
@keyframes sliding{
0%{
transform: translateX(-30px)
}
to{
transform: translateX(100%)
}
}
progress{
box-sizing: border-box;
appearance: none;
-webkit-appearance: none;
-moz-appearance: none;
height: 14px;
border: 1px solid #686868;
border-radius: 4px;
padding: 1px 2px 1px 0;
overflow: hidden;
background-color: #fff;
-webkit-box-shadow: inset 0 0 1px 0 #686868;
-moz-box-shadow: inset 0 0 1px 0 #686868
}
progress,progress: not([value]){
box-shadow: inset 0 0 1px 0 #686868
}
progress: not([value]){
-moz-box-shadow: inset 0 0 1px 0 #686868;
-webkit-box-shadow: inset 0 0 1px 0 #686868;
height: 14px
}
progress[value]: :-webkit-progress-bar{
background-color: transparent
}
progress[value]: :-webkit-progress-value{
border-radius: 2px;
background: repeating-linear-gradient(90deg,#fff 0,#fff 2px,transparent 0,transparent 10px),linear-gradient(180deg,#acedad 0,#7be47d 14%,#4cda50 28%,#2ed330 42%,#42d845 57%,#76e275 71%,#8fe791 85%,#fff)
}
progress[value]: :-moz-progress-bar{
border-radius: 2px;
background: repeating-linear-gradient(90deg,#fff 0,#fff 2px,transparent 0,transparent 10px),linear-gradient(180deg,#acedad 0,#7be47d 14%,#4cda50 28%,#2ed330 42%,#42d845 57%,#76e275 71%,#8fe791 85%,#fff)
}
progress: not([value]): :-webkit-progress-bar{
width: 100%;
background: repeating-linear-gradient(90deg,transparent 0,transparent 8px,#fff 0,#fff 10px,transparent 0,transparent 18px,#fff 0,#fff 20px,transparent 0,transparent 28px,#fff 0,#fff),linear-gradient(180deg,#acedad 0,#7be47d 14%,#4cda50 28%,#2ed330 42%,#42d845 57%,#76e275 71%,#8fe791 85%,#fff);
animation: sliding 2s linear 0s infinite
}
progress: not([value]): :-webkit-progress-bar: not([value]){
animation: sliding 2s linear 0s infinite;
background: repeating-linear-gradient(90deg,transparent 0,transparent 8px,#fff 0,#fff 10px,transparent 0,transparent 18px,#fff 0,#fff 20px,transparent 0,transparent 28px,#fff 0,#fff),linear-gradient(180deg,#acedad 0,#7be47d 14%,#4cda50 28%,#2ed330 42%,#42d845 57%,#76e275 71%,#8fe791 85%,#fff)
}
progress: not([value]){
position: relative
}
progress: not([value]): before{
box-sizing: border-box;
content: "";
position: absolute;
top: 0;
left: 0;
width: 100%;
height: 100%;
background-color: #fff;
-webkit-box-shadow: inset 0 0 1px 0 #686868;
-moz-box-shadow: inset 0 0 1px 0 #686868
}
progress: not([value]): before,progress: not([value]): before: not([value]){
box-shadow: inset 0 0 1px 0 #686868
}
progress: not([value]): before: not([value]){
-moz-box-shadow: inset 0 0 1px 0 #686868;
-webkit-box-shadow: inset 0 0 1px 0 #686868
}
progress: not([value]): after{
box-sizing: border-box;
content: "";
position: absolute;
top: 1px;
left: 2px;
width: 100%;
height: calc(100% - 2px);
padding: 1px 2px;
border-radius: 2px;
background: repeating-linear-gradient(90deg,transparent 0,transparent 8px,#fff 0,#fff 10px,transparent 0,transparent 18px,#fff 0,#fff 20px,transparent 0,transparent 28px,#fff 0,#fff),linear-gradient(180deg,#acedad 0,#7be47d 14%,#4cda50 28%,#2ed330 42%,#42d845 57%,#76e275 71%,#8fe791 85%,#fff)
}
progress: not([value]): after,progress: not([value]): after: not([value]){
animation: sliding 2s linear 0s infinite
}
progress: not([value]): after: not([value]){
background: repeating-linear-gradient(90deg,transparent 0,transparent 8px,#fff 0,#fff 10px,transparent 0,transparent 18px,#fff 0,#fff 20px,transparent 0,transparent 28px,#fff 0,#fff),linear-gradient(180deg,#acedad 0,#7be47d 14%,#4cda50 28%,#2ed330 42%,#42d845 57%,#76e275 71%,#8fe791 85%,#fff)
}
progress: not([value]): :-moz-progress-bar{
width: 100%;
background: repeating-linear-gradient(90deg,transparent 0,transparent 8px,#fff 0,#fff 10px,transparent 0,transparent 18px,#fff 0,#fff 20px,transparent 0,transparent 28px,#fff 0,#fff),linear-gradient(180deg,#acedad 0,#7be47d 14%,#4cda50 28%,#2ed330 42%,#42d845 57%,#76e275 71%,#8fe791 85%,#fff);
animation: sliding 2s linear 0s infinite
}
progress: not([value]): :-moz-progress-bar: not([value]){
animation: sliding 2s linear 0s infinite;
background: repeating-linear-gradient(90deg,transparent 0,transparent 8px,#fff 0,#fff 10px,transparent 0,transparent 18px,#fff 0,#fff 20px,transparent 0,transparent 28px,#fff 0,#fff),linear-gradient(180deg,#acedad 0,#7be47d 14%,#4cda50 28%,#2ed330 42%,#42d845 57%,#76e275 71%,#8fe791 85%,#fff)
}
progress:not([value])::-moz-progress-bar {
width: 100%;
background: repeating-linear-gradient(90deg,transparent 0,transparent 8px,#fff 0,#fff 10px,transparent 0,transparent 18px,#fff 0,#fff 20px,transparent 0,transparent 28px,#fff 0,#fff),linear-gradient(180deg,#acedad 0,#7be47d 14%,#4cda50 28%,#2ed330 42%,#42d845 57%,#76e275 71%,#8fe791 85%,#fff);
animation: sliding 2s linear 0s infinite;
}
progress:not([value])::after {
box-sizing: border-box;
content: "";
position: absolute;
top: 1px;
left: 2px;
width: 100%;
height: calc(100% - 2px);
padding: 1px 2px;
border-radius: 2px;
background: repeating-linear-gradient(90deg,transparent 0,transparent 8px,#fff 0,#fff 10px,transparent 0,transparent 18px,#fff 0,#fff 20px,transparent 0,transparent 28px,#fff 0,#fff),linear-gradient(180deg,#acedad 0,#7be47d 14%,#4cda50 28%,#2ed330 42%,#42d845 57%,#76e275 71%,#8fe791 85%,#fff);
}
progress:not([value])::before {
box-sizing: border-box;
content: "";
position: absolute;
top: 0;
left: 0;
width: 100%;
height: 100%;
background-color: #fff;
-webkit-box-shadow: inset 0 0 1px 0 #686868;
-moz-box-shadow: inset 0 0 1px 0 #686868;
}
Element {
}
progress:not([value]) {
position: relative;
}
progress:not([value]) {
-moz-box-shadow: inset 0 0 1px 0 #686868;
-webkit-box-shadow: inset 0 0 1px 0 #686868;
height: 14px;
}
</style>
</head>
<body>
<script>
var log = console.log;
var theme = 'light';
var special_col_names = ["trial_index","arm_name","trial_status","generation_method","generation_node","hostname","run_time","start_time","exit_code","signal","end_time","program_string","submit_time","queue_time"]
var result_names = [
"ACCURACY",
"RUNTIME"
];
var result_min_max = [
"max",
"min"
];
var tab_results_headers_json = [
"trial_index",
"arm_name",
"trial_status",
"generation_method",
"generation_node",
"ACCURACY",
"RUNTIME",
"recent_samples_size",
"n_samples",
"feature_proportion",
"n_clusters",
"confidence"
];
var tab_results_csv_json = [
[
0,
"0_0",
"COMPLETED",
"Sobol",
"SOBOL",
0.35000000000000003,
25,
181,
3860,
0.8225553125143051,
33,
0.05
],
[
1,
"1_0",
"COMPLETED",
"Sobol",
"SOBOL",
0.54,
57,
2932,
1704,
0.14803669893555343,
15,
0.25
],
[
2,
"2_0",
"COMPLETED",
"Sobol",
"SOBOL",
0.55,
63,
4834,
2997,
0.2523467225562781,
6,
0.001
],
[
3,
"3_0",
"COMPLETED",
"Sobol",
"SOBOL",
0.52,
45,
2038,
231,
0.7161747337970883,
48,
0.005
],
[
4,
"4_0",
"COMPLETED",
"Sobol",
"SOBOL",
0.52,
72,
1522,
3433,
0.013702073752880097,
10,
0.001
],
[
5,
"5_0",
"COMPLETED",
"Sobol",
"SOBOL",
0.61,
145,
4118,
1193,
0.9533269729577005,
43,
0.005
],
[
6,
"6_0",
"COMPLETED",
"Sobol",
"SOBOL",
0.46,
56,
3509,
4752,
0.5683140723519027,
27,
0.005
],
[
7,
"7_0",
"COMPLETED",
"Sobol",
"SOBOL",
0.52,
70,
871,
1913,
0.40078557313978674,
19,
0.05
],
[
8,
"8_0",
"COMPLETED",
"Sobol",
"SOBOL",
0.5,
65,
1034,
2677,
0.6260351084768773,
24,
0.001
],
[
9,
"9_0",
"COMPLETED",
"Sobol",
"SOBOL",
0.61,
179,
3355,
540,
0.3416065489910543,
29,
0.05
],
[
10,
"10_0",
"COMPLETED",
"Sobol",
"SOBOL",
0.48,
62,
3959,
4179,
0.1981223323456943,
39,
0.25
],
[
11,
"11_0",
"COMPLETED",
"Sobol",
"SOBOL",
0.59,
108,
1671,
1394,
0.7713471638411283,
9,
0.01
],
[
12,
"12_0",
"COMPLETED",
"Sobol",
"SOBOL",
0.36,
29,
2192,
4438,
0.44412985041178765,
47,
0.025
],
[
13,
"13_0",
"COMPLETED",
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1746758621.2057862,
20,
1,
5
],
[
1746761433.5440905,
20,
1,
5
],
[
1746761433.9680505,
20,
1,
5
],
[
1746761435.3927224,
20,
2,
10
],
[
1746761435.9167278,
20,
2,
10
],
[
1746761450.1138978,
20,
1,
5
],
[
1746761450.2863624,
20,
1,
5
],
[
1746764316.6728003,
20,
1,
5
],
[
1746764317.1804247,
20,
1,
5
],
[
1746764318.815398,
20,
2,
10
],
[
1746764319.7091143,
20,
2,
10
],
[
1746764335.7990367,
20,
1,
5
],
[
1746764336.1011145,
20,
1,
5
]
];
var tab_main_worker_cpu_ram_csv_json = [
[
1746192598,
645.9609375,
32.8
],
[
1746192598,
645.9609375,
33.1
],
[
1746192598,
646.02734375,
32.1
],
[
1746192598,
646.02734375,
36.1
],
[
1746192598,
646.02734375,
32.4
],
[
1746192598,
646.02734375,
32.8
],
[
1746192598,
646.02734375,
35.9
],
[
1746202970,
814.671875,
32.2
],
[
1746202970,
814.671875,
29.4
],
[
1746202970,
814.671875,
27.5
],
[
1746202970,
814.671875,
31.4
],
[
1746212460,
839.984375,
24.3
],
[
1746212460,
839.984375,
18.6
],
[
1746212460,
839.984375,
17.7
],
[
1746212460,
839.984375,
12.1
],
[
1746219441,
798.5703125,
13.6
],
[
1746219441,
798.5703125,
8.9
],
[
1746219441,
798.5703125,
8.9
],
[
1746219441,
798.5703125,
8.8
],
[
1746230583,
828.97265625,
8.1
],
[
1746230583,
828.97265625,
7.4
],
[
1746230583,
828.97265625,
7.3
],
[
1746230583,
828.97265625,
10.9
],
[
1746239616,
851.41015625,
8.5
],
[
1746239616,
851.41015625,
8.2
],
[
1746239617,
851.41015625,
7.9
],
[
1746239617,
851.41015625,
6.2
],
[
1746251400,
874.14453125,
8.3
],
[
1746251400,
874.14453125,
8.7
],
[
1746251400,
874.14453125,
9
],
[
1746251400,
874.14453125,
8.9
],
[
1746269244,
868.3203125,
10.1
],
[
1746269244,
868.3203125,
9.2
],
[
1746269244,
868.3203125,
9.3
],
[
1746269244,
868.3203125,
13.2
],
[
1746291233,
923.89453125,
9.9
],
[
1746291233,
923.89453125,
8.4
],
[
1746291233,
923.89453125,
8.5
],
[
1746291233,
923.89453125,
4.9
],
[
1746315438,
890.3359375,
8.4
],
[
1746315438,
890.3359375,
6.7
],
[
1746315438,
890.3359375,
6.9
],
[
1746315438,
890.3359375,
7.9
],
[
1746345777,
945.58203125,
8.2
],
[
1746345777,
945.58203125,
7.7
],
[
1746345777,
945.58203125,
7.6
],
[
1746345777,
945.58203125,
5.6
],
[
1746380660,
926.9140625,
14.6
],
[
1746380660,
926.9140625,
18.4
],
[
1746380661,
926.9140625,
18.7
],
[
1746380661,
926.9140625,
14
],
[
1746414841,
948.7109375,
14.3
],
[
1746414841,
948.7109375,
8.5
],
[
1746414841,
948.7109375,
7.9
],
[
1746414841,
948.7109375,
6.4
],
[
1746454199,
1109.96484375,
12.1
],
[
1746454199,
1109.96484375,
6.4
],
[
1746454199,
1109.96484375,
6.7
],
[
1746454199,
1109.96484375,
5.1
],
[
1746500619,
1013.875,
8.5
],
[
1746500619,
1013.875,
8.5
],
[
1746500619,
1013.875,
8.5
],
[
1746500619,
1013.875,
7.7
],
[
1746554440,
987.48046875,
8.4
],
[
1746554440,
987.48046875,
7
],
[
1746554440,
987.48046875,
6.9
],
[
1746554440,
987.48046875,
9.3
],
[
1746616436,
1021.828125,
8.7
],
[
1746616436,
1021.828125,
8.9
],
[
1746616436,
1021.828125,
9.1
],
[
1746616437,
1021.828125,
8.5
],
[
1746690428,
1043.81640625,
12.3
],
[
1746690428,
1043.81640625,
13.7
],
[
1746690428,
1043.81640625,
13.4
],
[
1746690428,
1043.81640625,
16.7
],
[
1746764346,
1052.44921875,
9.3
],
[
1746764346,
1052.44921875,
6.6
],
[
1746764346,
1052.44921875,
6.5
],
[
1746764346,
1052.44921875,
6.1
]
];
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>50184 </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>20 </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>184 </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>30</td><td>0</td><td>0</td></tr>
<tr><td>BOTORCH_MODULAR</td><td>1021</td><td>497</td><td>522</td><td>2</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>522</td>
<td>527</td>
<td>2</td>
<td>1051</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,0.350000000000000033306690738755,25,181,3860,0.822555312514305136950554242503,33,0.050000000000000002775557561563
1,1_0,COMPLETED,Sobol,SOBOL,0.540000000000000035527136788005,57,2932,1704,0.148036698935553434619549761919,15,0.25
2,2_0,COMPLETED,Sobol,SOBOL,0.550000000000000044408920985006,63,4834,2997,0.252346722556278102445048716618,6,0.001000000000000000020816681712
3,3_0,COMPLETED,Sobol,SOBOL,0.520000000000000017763568394003,45,2038,231,0.71617473379708829206435893866,48,0.005000000000000000104083408559
4,4_0,COMPLETED,Sobol,SOBOL,0.520000000000000017763568394003,72,1522,3433,0.013702073752880097184947416622,10,0.001000000000000000020816681712
5,5_0,COMPLETED,Sobol,SOBOL,0.609999999999999986677323704498,145,4118,1193,0.953326972957700524702318034542,43,0.005000000000000000104083408559
6,6_0,COMPLETED,Sobol,SOBOL,0.460000000000000019984014443253,56,3509,4752,0.568314072351902677127100105281,27,0.005000000000000000104083408559
7,7_0,COMPLETED,Sobol,SOBOL,0.520000000000000017763568394003,70,871,1913,0.400785573139786743812607028303,19,0.050000000000000002775557561563
8,8_0,COMPLETED,Sobol,SOBOL,0.5,65,1034,2677,0.626035108476877266703297664208,24,0.001000000000000000020816681712
9,9_0,COMPLETED,Sobol,SOBOL,0.609999999999999986677323704498,179,3355,540,0.341606548991054304043046840889,29,0.050000000000000002775557561563
10,10_0,COMPLETED,Sobol,SOBOL,0.479999999999999982236431605997,62,3959,4179,0.198122332345694290856030761461,39,0.25
11,11_0,COMPLETED,Sobol,SOBOL,0.589999999999999968913755310496,108,1671,1394,0.771347163841128335981522923248,9,0.010000000000000000208166817117
12,12_0,COMPLETED,Sobol,SOBOL,0.359999999999999986677323704498,29,2192,4438,0.44412985041178765222014135361,47,0.025000000000000001387778780781
13,13_0,COMPLETED,Sobol,SOBOL,0.570000000000000062172489379009,89,4671,2218,0.525857446042820808607132221368,2,0.010000000000000000208166817117
14,14_0,COMPLETED,Sobol,SOBOL,0.410000000000000031086244689504,35,2783,3747,0.887639202101156099544709832116,17,0.100000000000000005551115123126
15,15_0,COMPLETED,Sobol,SOBOL,0.520000000000000017763568394003,70,339,889,0.080520196149125700113557968507,38,0.25
16,16_0,COMPLETED,Sobol,SOBOL,0.419999999999999984456877655248,44,543,3577,0.985878579951822708871134182118,35,0.010000000000000000208166817117
17,17_0,COMPLETED,Sobol,SOBOL,0.589999999999999968913755310496,105,2597,734,0.046448975149542097440313881407,18,0.005000000000000000104083408559
18,18_0,COMPLETED,Sobol,SOBOL,0.489999999999999991118215802999,68,4483,4607,0.431385555941611542607461160515,3,0.100000000000000005551115123126
19,19_0,COMPLETED,Sobol,SOBOL,0.44000000000000000222044604925,62,2396,2372,0.599115052722394514361781148182,45,0.050000000000000002775557561563
20,20_0,COMPLETED,Sobol,SOBOL,0.479999999999999982236431605997,93,1858,4317,0.177847689228132377348146064833,8,0.050000000000000002775557561563
21,21_0,COMPLETED,Sobol,SOBOL,0.579999999999999960031971113494,170,3754,1557,0.852196095457300573094983064948,41,0.025000000000000001387778780781
22,22_0,COMPLETED,Sobol,SOBOL,0.5,103,3152,2539,0.747931578194722557206830515497,32,0.25
23,23_0,COMPLETED,Sobol,SOBOL,0.619999999999999995559107901499,299,1220,378,0.28393909344263373872863098768,24,0.001000000000000000020816681712
24,24_0,COMPLETED,Sobol,SOBOL,0.410000000000000031086244689504,42,744,4917,0.555726107465103313920451455488,22,0.25
25,25_0,COMPLETED,Sobol,SOBOL,0.560000000000000053290705182008,99,3618,2054,0.47371172883175310941439306589,26,0.025000000000000001387778780781
26,26_0,COMPLETED,Sobol,SOBOL,0.540000000000000035527136788005,80,4225,3268,0.112341433530673384666442871094,42,0.050000000000000002775557561563
27,27_0,COMPLETED,Sobol,SOBOL,0.589999999999999968913755310496,158,1397,1053,0.919167953314259600361424418224,13,0.005000000000000000104083408559
28,28_0,COMPLETED,Sobol,SOBOL,0.530000000000000026645352591004,101,1930,2844,0.374094952709972838889029844722,49,0.010000000000000000208166817117
29,29_0,COMPLETED,Sobol,SOBOL,0.589999999999999968913755310496,1133,4959,64,0.65884586748853324333907721666,4,0.001000000000000000020816681712
30,30_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.609999999999999986677323704498,176,1641,818,0.014929985744551047335826332585,50,0.010000000000000000208166817117
31,31_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.609999999999999986677323704498,149,1902,1008,0.001000000000000000020816681712,50,0.050000000000000002775557561563
32,32_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.5,47,3130,2858,0.001000000000000000020816681712,8,0.100000000000000005551115123126
33,33_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.540000000000000035527136788005,61,4385,3038,0.001000000000000000020816681712,1,0.005000000000000000104083408559
34,34_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.369999999999999995559107901499,28,401,4558,0.092634902555904258258934191872,50,0.100000000000000005551115123126
35,35_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,1,0.058891226683714603673536203132,50,0.010000000000000000208166817117
36,36_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.609999999999999986677323704498,139,1854,882,0.001000000000000000020816681712,50,0.100000000000000005551115123126
37,37_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.429999999999999993338661852249,127,2065,849,0.001000000000000000020816681712,50,0.005000000000000000104083408559
38,38_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.489999999999999991118215802999,49,2913,2697,0.001000000000000000020816681712,4,0.050000000000000002775557561563
39,39_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.479999999999999982236431605997,48,3762,4761,0.9989999999999999991118215803,44,0.100000000000000005551115123126
40,40_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.579999999999999960031971113494,104,4173,1543,0.157534273744074720946528600507,1,0.010000000000000000208166817117
41,41_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.450000000000000011102230246252,41,1216,4806,0.9989999999999999991118215803,50,0.005000000000000000104083408559
42,42_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.5,48,4932,4462,0.001000000000000000020816681712,37,0.100000000000000005551115123126
43,43_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.30999999999999999777955395075,23,1,1352,0.120508926629064719304729180749,50,0.010000000000000000208166817117
44,44_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.470000000000000028865798640254,49,4647,3968,0.9989999999999999991118215803,32,0.005000000000000000104083408559
45,45_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.530000000000000026645352591004,67,3474,2134,0.9989999999999999991118215803,1,0.005000000000000000104083408559
46,46_0,FAILED,BoTorch,BOTORCH_MODULAR,,,835,1,0.001000000000000000020816681712,50,0.050000000000000002775557561563
47,47_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.410000000000000031086244689504,31,614,4953,0.072195215349455651998589189589,50,0.100000000000000005551115123126
48,48_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.300000000000000044408920985006,24,1,1638,0.9989999999999999991118215803,50,0.005000000000000000104083408559
49,49_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.44000000000000000222044604925,38,2609,2837,0.001000000000000000020816681712,1,0.100000000000000005551115123126
50,50_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.479999999999999982236431605997,53,4997,3818,0.001000000000000000020816681712,30,0.100000000000000005551115123126
51,51_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,58,828,1487,0.001000000000000000020816681712,50,0.050000000000000002775557561563
52,52_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.390000000000000013322676295502,34,293,3441,0.001000000000000000020816681712,50,0.100000000000000005551115123126
53,53_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.450000000000000011102230246252,45,1197,4860,0.9989999999999999991118215803,50,0.100000000000000005551115123126
54,54_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.600000000000000088817841970013,143,1877,1050,0.001000000000000000020816681712,50,0.010000000000000000208166817117
55,55_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.380000000000000004440892098501,29,2261,5000,0.9989999999999999991118215803,50,0.100000000000000005551115123126
56,56_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.30999999999999999777955395075,21,1,4514,0.235919420054758438576314460988,50,0.005000000000000000104083408559
57,57_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.300000000000000044408920985006,37,1,701,0.9989999999999999991118215803,50,0.010000000000000000208166817117
58,58_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.479999999999999982236431605997,46,1744,4752,0.9989999999999999991118215803,50,0.25
59,59_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.489999999999999991118215802999,48,1784,4515,0.155891787326828096249542454643,50,0.100000000000000005551115123126
60,60_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2935,1,0.640761267415340673991863695846,50,0.005000000000000000104083408559
61,61_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.530000000000000026645352591004,56,4601,3662,0.5983942018018317821059781636,37,0.001000000000000000020816681712
62,62_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1568,1,0.647688177078188709323569582921,50,0.050000000000000002775557561563
63,63_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1029,1,0.29902027313179574408152916476,50,0.005000000000000000104083408559
64,64_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1653,1,0.9989999999999999991118215803,50,0.050000000000000002775557561563
65,65_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.320000000000000006661338147751,48,2885,1,0.001000000000000000020816681712,1,0.005000000000000000104083408559
66,66_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2738,1,0.897505808032030172327608852356,50,0.005000000000000000104083408559
67,67_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1364,1,0.203595558136698440154788158907,38,0.25
68,68_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1762,1,0.520471371873533650287413365731,24,0.005000000000000000104083408559
69,69_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1329,1,0.161159076827445235657876310142,38,0.25
70,70_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,1,0.001000000000000000020816681712,26,0.100000000000000005551115123126
71,71_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1387,1,0.219877893489058118259293905794,39,0.25
72,72_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1773,1,0.532531938464215315320871013682,23,0.005000000000000000104083408559
73,73_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,91,1353,1975,0.001000000000000000020816681712,44,0.25
74,74_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1752,1,0.504034221414319971721340607473,24,0.005000000000000000104083408559
75,75_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2426,1,0.9989999999999999991118215803,50,0.005000000000000000104083408559
76,76_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1356,1,0.357370553345331076755542198953,50,0.100000000000000005551115123126
77,77_0,FAILED,BoTorch,BOTORCH_MODULAR,,,574,1,0.001000000000000000020816681712,50,0.025000000000000001387778780781
78,78_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1716,1,0.9989999999999999991118215803,50,0.100000000000000005551115123126
79,79_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,85,4030,3304,0.958653512072230706841935443663,1,0.025000000000000001387778780781
80,80_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1776,1,0.675238669049019857304472225223,23,0.100000000000000005551115123126
81,81_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1847,1,0.695601120769149372513595608325,23,0.005000000000000000104083408559
82,82_0,FAILED,BoTorch,BOTORCH_MODULAR,,,792,1,0.001000000000000000020816681712,31,0.005000000000000000104083408559
83,83_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1905,1,0.695764344538252865746130737534,25,0.100000000000000005551115123126
84,84_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.30999999999999999777955395075,24,1,3916,0.9989999999999999991118215803,1,0.005000000000000000104083408559
85,85_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1816,1,0.639771619002576508172808189556,24,0.100000000000000005551115123126
86,86_0,FAILED,BoTorch,BOTORCH_MODULAR,,,567,1,0.001000000000000000020816681712,50,0.025000000000000001387778780781
87,87_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1743,1,0.9989999999999999991118215803,50,0.100000000000000005551115123126
88,88_0,FAILED,BoTorch,BOTORCH_MODULAR,,,575,1,0.001000000000000000020816681712,50,0.25
89,89_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1769,1,0.9989999999999999991118215803,50,0.100000000000000005551115123126
90,90_0,FAILED,BoTorch,BOTORCH_MODULAR,,,572,1,0.001000000000000000020816681712,50,0.25
91,91_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2434,1,0.9989999999999999991118215803,50,0.005000000000000000104083408559
92,92_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1359,1,0.090390172711860825027763155504,50,0.100000000000000005551115123126
93,93_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1757,1,0.9989999999999999991118215803,50,0.25
94,94_0,FAILED,BoTorch,BOTORCH_MODULAR,,,574,1,0.001000000000000000020816681712,50,0.100000000000000005551115123126
95,95_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1798,1,0.9989999999999999991118215803,50,0.005000000000000000104083408559
96,96_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1351,1,0.239435221504455841845526720135,50,0.100000000000000005551115123126
97,97_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2429,1,0.9989999999999999991118215803,50,0.005000000000000000104083408559
98,98_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1349,1,0.068121443377983578737477898812,50,0.100000000000000005551115123126
99,99_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1742,1,0.9989999999999999991118215803,50,0.25
100,100_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1407,1,0.377291031207270532998876433339,50,0.100000000000000005551115123126
101,94_0,FAILED,BoTorch,BOTORCH_MODULAR,,,574,1,0.001000000000000000020816681712,50,0.100000000000000005551115123126
102,102_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1754,1,0.9989999999999999991118215803,50,0.100000000000000005551115123126
103,103_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.520000000000000017763568394003,57,1536,3384,0.001000000000000000020816681712,1,0.025000000000000001387778780781
104,89_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1769,1,0.9989999999999999991118215803,50,0.100000000000000005551115123126
105,105_0,FAILED,BoTorch,BOTORCH_MODULAR,,,584,1,0.001000000000000000020816681712,50,0.100000000000000005551115123126
106,106_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1356,1,0.407075991120631974773402816936,50,0.025000000000000001387778780781
107,107_0,FAILED,BoTorch,BOTORCH_MODULAR,,,594,1,0.001000000000000000020816681712,50,0.100000000000000005551115123126
108,108_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1367,1,0.39067592827995140103425342204,50,0.100000000000000005551115123126
109,109_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1609,1,0.9989999999999999991118215803,50,0.25
110,110_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1299,1,0.025109052946932219896325477748,50,0.100000000000000005551115123126
111,111_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2433,1,0.9989999999999999991118215803,50,0.005000000000000000104083408559
112,112_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1288,1,0.015757813841910613128494134116,50,0.100000000000000005551115123126
113,113_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1274,1,0.9989999999999999991118215803,50,0.25
114,114_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.44000000000000000222044604925,45,2519,3155,0.9989999999999999991118215803,1,0.005000000000000000104083408559
115,115_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1324,1,0.33414849396158657901523270084,50,0.100000000000000005551115123126
116,116_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1837,1,0.9989999999999999991118215803,50,0.25
117,117_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1330,1,0.001000000000000000020816681712,50,0.100000000000000005551115123126
118,118_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1865,1,0.9989999999999999991118215803,50,0.25
119,119_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1315,1,0.001000000000000000020816681712,50,0.100000000000000005551115123126
120,120_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1889,1,0.9989999999999999991118215803,50,0.100000000000000005551115123126
121,121_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2449,1,0.9989999999999999991118215803,50,0.25
122,122_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1343,1,0.001000000000000000020816681712,50,0.100000000000000005551115123126
123,123_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1848,1,0.9989999999999999991118215803,50,0.25
124,124_0,FAILED,BoTorch,BOTORCH_MODULAR,,,585,1,0.001000000000000000020816681712,50,0.025000000000000001387778780781
125,125_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2442,1,0.9989999999999999991118215803,50,0.100000000000000005551115123126
126,126_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1352,1,0.001000000000000000020816681712,50,0.100000000000000005551115123126
127,127_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1854,1,0.9989999999999999991118215803,50,0.25
128,128_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1325,1,0.001000000000000000020816681712,50,0.100000000000000005551115123126
129,118_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1865,1,0.9989999999999999991118215803,50,0.25
130,130_0,FAILED,BoTorch,BOTORCH_MODULAR,,,583,1,0.001000000000000000020816681712,50,0.100000000000000005551115123126
131,131_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1872,1,0.9989999999999999991118215803,50,0.25
132,132_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1320,1,0.001000000000000000020816681712,50,0.025000000000000001387778780781
133,133_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1840,1,0.9989999999999999991118215803,50,0.25
134,134_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1327,1,0.001000000000000000020816681712,50,0.100000000000000005551115123126
135,135_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1852,1,0.9989999999999999991118215803,50,0.25
136,136_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1333,1,0.001000000000000000020816681712,50,0.100000000000000005551115123126
137,137_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1842,1,0.9989999999999999991118215803,50,0.25
138,117_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1330,1,0.001000000000000000020816681712,50,0.100000000000000005551115123126
139,139_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2443,1,0.9989999999999999991118215803,50,0.25
140,140_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1836,1,0.9989999999999999991118215803,50,0.100000000000000005551115123126
141,141_0,FAILED,BoTorch,BOTORCH_MODULAR,,,589,1,0.001000000000000000020816681712,50,0.100000000000000005551115123126
142,142_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1364,1,0.073919421326621853607363732408,50,0.025000000000000001387778780781
143,143_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2432,1,0.9989999999999999991118215803,50,0.100000000000000005551115123126
144,144_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1353,1,0.001000000000000000020816681712,50,0.100000000000000005551115123126
145,145_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1674,1,0.9989999999999999991118215803,50,0.025000000000000001387778780781
146,146_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1356,1,0.001000000000000000020816681712,50,0.100000000000000005551115123126
147,139_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2443,1,0.9989999999999999991118215803,50,0.25
148,148_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1360,1,0.001000000000000000020816681712,50,0.100000000000000005551115123126
149,149_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1870,1,0.9989999999999999991118215803,50,0.25
150,150_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1332,1,0.001000000000000000020816681712,50,0.025000000000000001387778780781
151,151_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1824,1,0.9989999999999999991118215803,50,0.25
152,134_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1327,1,0.001000000000000000020816681712,50,0.100000000000000005551115123126
153,153_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1884,1,0.9989999999999999991118215803,50,0.25
154,154_0,FAILED,BoTorch,BOTORCH_MODULAR,,,584,1,0.001000000000000000020816681712,50,0.25
155,155_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1875,1,0.9989999999999999991118215803,50,0.100000000000000005551115123126
156,156_0,FAILED,BoTorch,BOTORCH_MODULAR,,,590,1,0.001000000000000000020816681712,50,0.025000000000000001387778780781
157,157_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1314,1,0.001000000000000000020816681712,50,0.100000000000000005551115123126
158,158_0,FAILED,BoTorch,BOTORCH_MODULAR,,,587,1,0.001000000000000000020816681712,50,0.25
159,159_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1865,1,0.9989999999999999991118215803,50,0.100000000000000005551115123126
160,160_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1829,1,0.9989999999999999991118215803,50,0.100000000000000005551115123126
161,161_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1329,1,0.001000000000000000020816681712,50,0.100000000000000005551115123126
162,162_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2440,1,0.9989999999999999991118215803,50,0.100000000000000005551115123126
163,163_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1337,1,0.001000000000000000020816681712,50,0.100000000000000005551115123126
164,133_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1840,1,0.9989999999999999991118215803,50,0.25
165,165_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1313,1,0.001000000000000000020816681712,50,0.100000000000000005551115123126
166,166_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1904,1,0.9989999999999999991118215803,50,0.25
167,128_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1325,1,0.001000000000000000020816681712,50,0.100000000000000005551115123126
168,168_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1839,1,0.9989999999999999991118215803,50,0.25
169,169_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1324,1,0.001000000000000000020816681712,50,0.025000000000000001387778780781
170,162_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2440,1,0.9989999999999999991118215803,50,0.100000000000000005551115123126
171,171_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1346,1,0.001000000000000000020816681712,50,0.100000000000000005551115123126
172,172_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.470000000000000028865798640254,40,1603,5000,0.001000000000000000020816681712,50,0.025000000000000001387778780781
173,173_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1823,1,0.9989999999999999991118215803,50,0.100000000000000005551115123126
174,174_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1300,1,0.001000000000000000020816681712,50,0.005000000000000000104083408559
175,175_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1873,1,0.9989999999999999991118215803,50,0.25
176,176_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.489999999999999991118215802999,53,507,1750,0.001000000000000000020816681712,50,0.025000000000000001387778780781
177,177_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1355,1,0.082879966001670496433817447723,50,0.100000000000000005551115123126
178,178_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3493,1,0.664550912764349077654912889557,50,0.050000000000000002775557561563
179,179_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1889,1,0.9989999999999999991118215803,50,0.010000000000000000208166817117
180,180_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1692,1,0.668698996434498260654777368472,50,0.010000000000000000208166817117
181,181_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.320000000000000006661338147751,41,3530,1,0.004883661179148107017722324485,1,0.001000000000000000020816681712
182,182_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1841,1,0.670986009348317424816343645944,50,0.010000000000000000208166817117
183,183_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1840,1,0.9989999999999999991118215803,50,0.050000000000000002775557561563
184,184_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1847,1,0.672001232993433839091323989123,50,0.010000000000000000208166817117
185,185_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.589999999999999968913755310496,101,1302,1209,0.001000000000000000020816681712,1,0.001000000000000000020816681712
186,186_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2528,1,0.665450079573546848799026065535,50,0.010000000000000000208166817117
187,187_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.579999999999999960031971113494,128,1769,1868,0.141653591983212867599917217376,50,0.050000000000000002775557561563
188,188_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1828,1,0.671794977964650263935197926912,50,0.050000000000000002775557561563
189,189_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.470000000000000028865798640254,48,1569,4310,0.553934229698349489545705637283,36,0.001000000000000000020816681712
190,190_0,FAILED,BoTorch,BOTORCH_MODULAR,,,565,1,0.651906311792785131409289078874,50,0.25
191,191_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.609999999999999986677323704498,199,1439,524,0.001000000000000000020816681712,1,0.100000000000000005551115123126
192,192_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1222,1,0.001000000000000000020816681712,50,0.001000000000000000020816681712
193,193_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.579999999999999960031971113494,115,1507,1258,0.188414252347174432378196229365,11,0.005000000000000000104083408559
194,194_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1854,1,0.915011369485264514089806198172,50,0.050000000000000002775557561563
195,195_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.479999999999999982236431605997,63,4193,3803,0.605662844620268092654669089825,50,0.100000000000000005551115123126
196,196_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1841,1,0.873356149933436243237849794241,50,0.010000000000000000208166817117
197,197_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2443,1,0.552818465837306427523856200423,50,0.005000000000000000104083408559
198,198_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1805,1,0.876166472611600299913447997824,50,0.010000000000000000208166817117
199,199_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2442,1,0.547943408839026924184167910425,50,0.005000000000000000104083408559
200,200_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1859,1,0.871033837681214451187372560526,50,0.050000000000000002775557561563
201,201_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2446,1,0.550108395973429753489369886665,50,0.005000000000000000104083408559
202,202_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1798,1,0.870281820339020462107271214336,50,0.010000000000000000208166817117
203,203_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2446,1,0.538718691934576665580891585705,50,0.005000000000000000104083408559
204,204_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1794,1,0.874364194797671356873536296916,50,0.050000000000000002775557561563
205,205_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1250,1,0.001000000000000000020816681712,50,0.001000000000000000020816681712
206,206_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1855,1,0.873335857704903739673341078742,50,0.050000000000000002775557561563
207,207_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1272,1,0.001000000000000000020816681712,50,0.001000000000000000020816681712
208,208_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1805,1,0.869398243210775523159838940046,50,0.050000000000000002775557561563
209,209_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1346,22,0.001000000000000000020816681712,50,0.001000000000000000020816681712
210,210_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1840,1,0.870935965522624755408287455793,50,0.050000000000000002775557561563
211,207_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1272,1,0.001000000000000000020816681712,50,0.001000000000000000020816681712
212,212_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1847,1,0.871813753770980137680624011409,50,0.050000000000000002775557561563
213,213_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1277,1,0.001000000000000000020816681712,50,0.001000000000000000020816681712
214,214_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1799,1,0.866883229729062732005218094855,50,0.050000000000000002775557561563
215,215_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1249,1,0.001000000000000000020816681712,50,0.001000000000000000020816681712
216,216_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2440,1,0.852859785356848809634300323523,50,0.010000000000000000208166817117
217,217_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.570000000000000062172489379009,100,1539,1415,0.115046938912590684944703411929,1,0.25
218,218_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1827,1,0.869345175630027444668712632847,50,0.050000000000000002775557561563
219,219_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1831,1,0.66884684749803313685845296277,50,0.25
220,220_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1825,1,0.081067884585931879182219006452,50,0.050000000000000002775557561563
221,221_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1802,1,0.055052554995186679664964657377,50,0.005000000000000000104083408559
222,222_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1825,1,0.9989999999999999991118215803,50,0.050000000000000002775557561563
223,223_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1825,1,0.672200709730002565756024068833,50,0.25
224,224_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1814,1,0.055733311337458048273507671411,39,0.050000000000000002775557561563
225,225_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1825,1,0.687232080829594527138226567331,50,0.050000000000000002775557561563
226,226_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.510000000000000008881784197001,67,1409,3219,0.532304942702914951624393324892,1,0.001000000000000000020816681712
227,227_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1830,1,0.690048218259697088150517174654,50,0.050000000000000002775557561563
228,228_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,69,4791,3311,0.892189460999842975930107513705,48,0.001000000000000000020816681712
229,229_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1829,1,0.9989999999999999991118215803,50,0.050000000000000002775557561563
230,230_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1559,1,0.693159397813588595838041328534,50,0.100000000000000005551115123126
231,231_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1570,1,0.9989999999999999991118215803,50,0.010000000000000000208166817117
232,232_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1266,1,0.009103408252092217226025816501,50,0.001000000000000000020816681712
233,233_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1640,1,0.714779359511274470229125199694,50,0.050000000000000002775557561563
234,234_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1284,1,0.002585350636466209744979138918,50,0.001000000000000000020816681712
235,235_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1617,1,0.70083002954721607125065929722,50,0.010000000000000000208166817117
236,236_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1159,1,0.005088711847833609844271585132,50,0.001000000000000000020816681712
237,237_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1658,1,0.711984406356903520851631128608,50,0.050000000000000002775557561563
238,238_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1329,1,0.9989999999999999991118215803,50,0.010000000000000000208166817117
239,239_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1786,1,0.712061905641153236601326170785,50,0.100000000000000005551115123126
240,240_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1733,1,0.716830607777477535336174696567,50,0.050000000000000002775557561563
241,241_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1282,1,0.007635067543390428729255248186,50,0.001000000000000000020816681712
242,242_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1608,1,0.9989999999999999991118215803,50,0.100000000000000005551115123126
243,243_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1487,1,0.70004347671259448127045743604,50,0.010000000000000000208166817117
244,244_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1308,1,0.006309457581203179420137328037,50,0.001000000000000000020816681712
245,245_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1652,1,0.713520038248145360704199902102,50,0.050000000000000002775557561563
246,246_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1322,1,0.004035566162652388932929881094,50,0.001000000000000000020816681712
247,247_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2437,1,0.9989999999999999991118215803,50,0.010000000000000000208166817117
248,248_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1644,1,0.710454830659833724837426416343,50,0.010000000000000000208166817117
249,249_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1345,1,0.001000000000000000020816681712,50,0.001000000000000000020816681712
250,250_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1615,1,0.715559059308566558499364873569,50,0.010000000000000000208166817117
251,251_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1283,1,0.00674505705725355914764707066,50,0.001000000000000000020816681712
252,252_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1688,1,0.703540952527063723209721501917,50,0.050000000000000002775557561563
253,253_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1267,1,0.001000000000000000020816681712,50,0.001000000000000000020816681712
254,254_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3490,1,0.9989999999999999991118215803,50,0.010000000000000000208166817117
255,255_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1291,1,0.001199193434991824335281163094,50,0.001000000000000000020816681712
256,256_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1631,1,0.705924337574787452709301760478,50,0.050000000000000002775557561563
257,257_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1235,1,0.004421792067035990383971899575,50,0.001000000000000000020816681712
258,258_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1635,1,0.714209799046394699928441696102,50,0.050000000000000002775557561563
259,259_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1518,1,0.704688482439617014385646598384,50,0.010000000000000000208166817117
260,260_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1795,1,0.9989999999999999991118215803,50,0.050000000000000002775557561563
261,261_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1306,1,0.006508550854639699387305107336,50,0.001000000000000000020816681712
262,262_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1661,1,0.70850158695807363695706726503,50,0.010000000000000000208166817117
263,263_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1353,1,0.001000000000000000020816681712,50,0.001000000000000000020816681712
264,264_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1631,1,0.719178002713259156841729691223,50,0.050000000000000002775557561563
265,265_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1313,1,0.017303610318918846711078174394,50,0.001000000000000000020816681712
266,266_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2446,1,0.0657250564727435843126457371,50,0.25
267,267_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1579,1,0.9989999999999999991118215803,50,0.050000000000000002775557561563
268,268_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1235,1,0.004452665723558844532159461949,50,0.001000000000000000020816681712
269,269_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2474,1,0.068650841494566877676319904822,50,0.25
270,270_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1247,1,0.001000000000000000020816681712,50,0.001000000000000000020816681712
271,271_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1582,1,0.704793039688000999554162717686,50,0.010000000000000000208166817117
272,272_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1263,1,0.001000000000000000020816681712,50,0.001000000000000000020816681712
273,273_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1667,1,0.711642774219366724963720116648,50,0.050000000000000002775557561563
274,274_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1414,1,0.018031028702360420851169564571,50,0.001000000000000000020816681712
275,275_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1647,1,0.9989999999999999991118215803,50,0.050000000000000002775557561563
276,276_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1273,1,0.003217701284819401898878998836,50,0.001000000000000000020816681712
277,277_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1652,1,0.9989999999999999991118215803,50,0.050000000000000002775557561563
278,278_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1281,1,0.002111844755140980869900779737,50,0.001000000000000000020816681712
279,279_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1737,1,0.710120104779632943525768951076,50,0.010000000000000000208166817117
280,280_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2418,1,0.69676940970513157047605545813,50,0.010000000000000000208166817117
281,281_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1731,1,0.737938222341005145565873135638,50,0.100000000000000005551115123126
282,282_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1278,1,0.005187706787638886665736670523,50,0.001000000000000000020816681712
283,283_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1719,1,0.9989999999999999991118215803,50,0.010000000000000000208166817117
284,284_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1478,1,0.690468169392444930387853219145,50,0.010000000000000000208166817117
285,285_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1263,1,0.010062681104895910069729758618,50,0.001000000000000000020816681712
286,286_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,71,3927,2969,0.001000000000000000020816681712,50,0.010000000000000000208166817117
287,287_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1623,1,0.9989999999999999991118215803,50,0.050000000000000002775557561563
288,288_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1646,1,0.68052806567299817253058336064,50,0.050000000000000002775557561563
289,289_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1357,1,0.002644851518806399029437592674,50,0.001000000000000000020816681712
290,290_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3652,1,0.693266382374022938073210298171,50,0.100000000000000005551115123126
291,291_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1309,1,0.001000000000000000020816681712,50,0.001000000000000000020816681712
292,292_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3463,1,0.699053070356776218297056857409,50,0.25
293,293_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1571,1,0.70314389778557329080399540544,50,0.100000000000000005551115123126
294,294_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2438,1,0.9989999999999999991118215803,50,0.050000000000000002775557561563
295,295_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1642,1,0.704206610603147487026376438735,50,0.050000000000000002775557561563
296,296_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1317,1,0.008002393406972957076717101188,50,0.001000000000000000020816681712
297,297_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1570,1,0.70854054780120601098047927735,50,0.050000000000000002775557561563
298,298_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1306,1,0.008992926534939885835351347509,50,0.001000000000000000020816681712
299,299_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1664,1,0.700205189975500297272503757995,50,0.010000000000000000208166817117
300,300_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1767,1,0.700395446756498452067773996532,50,0.050000000000000002775557561563
301,301_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1415,1,0.9989999999999999991118215803,50,0.010000000000000000208166817117
302,302_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1622,1,0.687312011122370614124577059556,50,0.010000000000000000208166817117
303,303_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.489999999999999991118215802999,50,4902,4790,0.243361076555769745288770877778,50,0.001000000000000000020816681712
304,304_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1595,1,0.9989999999999999991118215803,50,0.050000000000000002775557561563
305,305_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4655,1,0.667291447186880049002866144292,50,0.25
306,306_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1814,1,0.713643453327723609191934883711,50,0.010000000000000000208166817117
307,307_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4730,1,0.9989999999999999991118215803,50,0.050000000000000002775557561563
308,308_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1808,1,0.701035623193346446591078802157,50,0.050000000000000002775557561563
309,309_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1828,1,0.9989999999999999991118215803,50,0.010000000000000000208166817117
310,310_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3525,1,0.109745613890400356416066074416,50,0.005000000000000000104083408559
311,311_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1264,1,0.001000000000000000020816681712,40,0.005000000000000000104083408559
312,312_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1822,1,0.710253668263683302086519688601,50,0.050000000000000002775557561563
313,313_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3499,1,0.100382008409408612914504033142,1,0.005000000000000000104083408559
314,314_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1824,1,0.9989999999999999991118215803,50,0.010000000000000000208166817117
315,315_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3453,1,0.683277251221528714175690311095,50,0.050000000000000002775557561563
316,316_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1802,1,0.075933506591877961144909647828,50,0.25
317,317_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1828,1,0.712009478922016714186327135394,50,0.050000000000000002775557561563
318,318_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1826,1,0.9989999999999999991118215803,50,0.050000000000000002775557561563
319,319_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1825,1,0.9989999999999999991118215803,50,0.010000000000000000208166817117
320,320_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1800,1,0.074574483117918283214820007743,50,0.005000000000000000104083408559
321,321_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4009,1,0.702099363646119467574635564233,50,0.25
322,322_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1815,1,0.707610417588101503483244414383,50,0.050000000000000002775557561563
323,323_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4705,1,0.9989999999999999991118215803,50,0.25
324,324_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1821,1,0.9989999999999999991118215803,50,0.010000000000000000208166817117
325,325_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1817,1,0.681523389625604769648248293379,50,0.050000000000000002775557561563
326,326_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3507,1,0.78966573950435881013021344188,50,0.050000000000000002775557561563
327,327_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1823,1,0.696501972557675985697756004811,50,0.050000000000000002775557561563
328,328_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1830,1,0.719489399280168417938341463014,50,0.010000000000000000208166817117
329,329_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1818,1,0.051918569228591116004878358581,50,0.050000000000000002775557561563
330,330_0,FAILED,BoTorch,BOTORCH_MODULAR,,,968,1,0.701797602899705830203913592413,50,0.010000000000000000208166817117
331,331_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1811,1,0.714499637928333708458694673027,50,0.050000000000000002775557561563
332,332_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1814,1,0.656247522815804562590358273155,50,0.025000000000000001387778780781
333,333_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1811,1,0.747753903737091052406071867154,50,0.010000000000000000208166817117
334,334_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1823,1,0.06088331062918879432732666146,48,0.050000000000000002775557561563
335,335_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,80,1400,1946,0.9989999999999999991118215803,50,0.010000000000000000208166817117
336,336_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1810,1,0.710141086964361067934703442006,50,0.010000000000000000208166817117
337,337_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3990,1,0.9989999999999999991118215803,50,0.010000000000000000208166817117
338,338_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1850,1,0.708072590338721497005280980375,50,0.010000000000000000208166817117
339,339_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1824,1,0.9989999999999999991118215803,50,0.050000000000000002775557561563
340,340_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.600000000000000088817841970013,815,1858,110,0.9989999999999999991118215803,50,0.050000000000000002775557561563
341,341_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1829,1,0.9989999999999999991118215803,50,0.010000000000000000208166817117
342,342_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4784,1,0.667481400516954370694122644636,50,0.100000000000000005551115123126
343,343_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.619999999999999995559107901499,194,2505,175,0.658240597849692465892701420671,50,0.025000000000000001387778780781
344,344_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4021,1,0.9989999999999999991118215803,50,0.100000000000000005551115123126
345,345_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1822,1,0.9989999999999999991118215803,50,0.050000000000000002775557561563
346,346_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1349,1,0.430035816665602421693392898305,50,0.005000000000000000104083408559
347,347_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4019,1,0.47064546837295428982628209269,50,0.005000000000000000104083408559
348,348_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2528,1,0.457055111133504832210405766091,50,0.005000000000000000104083408559
349,349_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.619999999999999995559107901499,223,3450,484,0.203853618128552377397610939624,50,0.025000000000000001387778780781
350,350_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2522,1,0.438077168582680753772251591727,50,0.005000000000000000104083408559
351,351_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4768,1,0.9989999999999999991118215803,50,0.010000000000000000208166817117
352,352_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.600000000000000088817841970013,157,1804,963,0.59682069332249432225268037655,50,0.005000000000000000104083408559
353,353_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2517,27,0.491453889808104005254563162453,50,0.005000000000000000104083408559
354,354_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.600000000000000088817841970013,122,2537,460,0.9989999999999999991118215803,50,0.010000000000000000208166817117
355,355_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2531,1,0.42274069079010079263980514952,50,0.005000000000000000104083408559
356,356_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4650,1,0.439414456543955056488925947633,1,0.005000000000000000104083408559
357,357_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1282,1,0.456290957256872409253389832884,50,0.005000000000000000104083408559
358,358_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2538,1,0.312754914294430141907810138946,39,0.005000000000000000104083408559
359,359_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1276,1,0.529475247156931616565600506874,50,0.005000000000000000104083408559
360,360_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1325,1,0.420477432992695854263587307287,50,0.005000000000000000104083408559
361,361_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2535,1,0.494275959821844912411847872136,50,0.005000000000000000104083408559
362,362_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3998,1,0.556174455443036563906389346812,50,0.005000000000000000104083408559
363,363_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2536,1,0.405185271160342308505164510279,1,0.005000000000000000104083408559
364,364_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1291,1,0.556768470627712619425153661723,50,0.005000000000000000104083408559
365,365_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2528,1,0.410911265482629572964867747942,1,0.005000000000000000104083408559
366,366_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4003,1,0.489264783989678098130582384329,50,0.005000000000000000104083408559
367,367_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1298,1,0.457746115373307393969781742271,50,0.005000000000000000104083408559
368,368_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2531,1,0.44616549553061390920305484542,13,0.005000000000000000104083408559
369,369_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4002,1,0.515866153512030800598608948349,50,0.005000000000000000104083408559
370,370_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3438,1,0.433579354909104763837746077115,50,0.005000000000000000104083408559
371,371_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4635,1,0.432184772461701061097016918211,1,0.005000000000000000104083408559
372,372_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1271,1,0.46812272121401582447575151491,50,0.005000000000000000104083408559
373,373_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2528,1,0.424552970321952938270726463088,1,0.005000000000000000104083408559
374,374_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4000,1,0.542429289447107221278088218241,50,0.005000000000000000104083408559
375,375_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2530,1,0.398666640354809587165618722793,1,0.005000000000000000104083408559
376,376_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1322,1,0.001000000000000000020816681712,50,0.001000000000000000020816681712
377,377_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2538,1,0.412529939697277636678762746669,47,0.005000000000000000104083408559
378,378_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3465,1,0.487936028944047750499635185406,50,0.005000000000000000104083408559
379,379_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2532,1,0.426972898282819646187391526837,1,0.005000000000000000104083408559
380,380_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2517,1,0.410524649670652830302230995585,20,0.005000000000000000104083408559
381,381_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4003,1,0.521804767621129816923541966389,50,0.005000000000000000104083408559
382,382_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1278,1,0.470031890092403814573884801575,50,0.005000000000000000104083408559
383,383_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2516,1,0.412746643835891657836612012034,1,0.005000000000000000104083408559
384,384_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1296,1,0.500547933356076724109584574762,50,0.005000000000000000104083408559
385,385_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4700,1,0.433021873303130910848324219842,1,0.005000000000000000104083408559
386,386_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2521,1,0.44720387706792613657924562176,50,0.005000000000000000104083408559
387,387_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4013,1,0.534668794783711098794753979746,50,0.005000000000000000104083408559
388,388_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.579999999999999960031971113494,93,1482,1508,0.282860110692362554107859295982,50,0.010000000000000000208166817117
389,389_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2523,1,0.396984221383834767760134809578,2,0.005000000000000000104083408559
390,390_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4523,1,0.431890621532674601201762243363,50,0.005000000000000000104083408559
391,391_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1243,1,0.413608705689873568100978218354,1,0.005000000000000000104083408559
392,392_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4523,1,0.45993965010257648051705814396,50,0.005000000000000000104083408559
393,393_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1314,1,0.410573064850464852781897207024,12,0.005000000000000000104083408559
394,394_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4692,1,0.403319608513975857988498319173,6,0.005000000000000000104083408559
395,395_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1264,1,0.102871104819691666643066696452,2,0.005000000000000000104083408559
396,396_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1268,1,0.424368855848881454395638002097,50,0.005000000000000000104083408559
397,397_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4466,1,0.444518376706223461436451316331,50,0.005000000000000000104083408559
398,398_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.570000000000000062172489379009,89,4860,2318,0.001000000000000000020816681712,50,0.025000000000000001387778780781
399,399_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1312,1,0.408970440295916060069458808357,30,0.005000000000000000104083408559
400,400_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4607,1,0.403378490848376070054825959232,50,0.005000000000000000104083408559
401,401_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1385,1,0.036193194376562071168379475239,50,0.001000000000000000020816681712
402,402_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4665,1,0.405578338497504076176625176231,50,0.005000000000000000104083408559
403,403_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1341,1,0.069506272015924172591461172033,50,0.001000000000000000020816681712
404,404_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4750,1,0.399289428895887699155764494208,50,0.005000000000000000104083408559
405,405_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1202,1,0.401597065675597331146917667866,11,0.005000000000000000104083408559
406,406_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4769,1,0.480573802499320190673159913786,50,0.005000000000000000104083408559
407,407_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.530000000000000026645352591004,67,4638,3614,0.768292064530889162732307795523,1,0.010000000000000000208166817117
408,408_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4569,1,0.402159950700463508788118360826,50,0.005000000000000000104083408559
409,409_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.540000000000000035527136788005,86,1456,2055,0.001000000000000000020816681712,50,0.010000000000000000208166817117
410,410_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1418,1,0.395840816795979821840489876195,21,0.005000000000000000104083408559
411,411_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1311,1,0.045604887932895063484828312994,50,0.001000000000000000020816681712
412,412_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1345,1,0.396650402252635037037009624328,2,0.005000000000000000104083408559
413,413_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2539,1,0.487871677427527128401152367587,50,0.005000000000000000104083408559
414,414_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1318,1,0.404265703139137677624148636824,1,0.005000000000000000104083408559
415,415_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2525,1,0.480683082674246975329879205674,50,0.005000000000000000104083408559
416,416_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1348,1,0.474669252246118722471379669514,50,0.005000000000000000104083408559
417,417_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1333,1,0.424400497385746811040974080242,11,0.005000000000000000104083408559
418,418_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3994,1,0.446725207931679579864692186675,50,0.005000000000000000104083408559
419,419_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1308,1,0.407408595823932406787548643479,2,0.005000000000000000104083408559
420,420_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2523,1,0.400065549354878535748269996475,27,0.005000000000000000104083408559
421,421_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1294,1,0.496936024358315742155411953718,50,0.005000000000000000104083408559
422,422_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1332,1,0.428993127554542441615126335819,15,0.005000000000000000104083408559
423,423_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2543,1,0.439549859369340101267198406276,50,0.005000000000000000104083408559
424,424_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1313,1,0.062338725268890435304847130737,50,0.001000000000000000020816681712
425,425_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2519,1,0.402050416513602681956029982757,49,0.005000000000000000104083408559
426,426_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1371,1,0.480245779976306130798491267342,50,0.005000000000000000104083408559
427,427_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4838,1,0.454608905379159100590413800091,50,0.005000000000000000104083408559
428,428_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2522,1,0.420372279939830117978516454968,27,0.005000000000000000104083408559
429,429_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1329,1,0.517281350476878176714023993554,50,0.005000000000000000104083408559
430,430_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1400,1,0.409749618881272870130061392047,31,0.005000000000000000104083408559
431,431_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4414,65,0.439071631967267450580294507745,49,0.005000000000000000104083408559
432,432_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2536,1,0.43916380793562653783723703782,39,0.005000000000000000104083408559
433,433_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4805,1,0.320823991059530078118200435711,1,0.005000000000000000104083408559
434,434_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2520,1,0.488450668976831259282533892474,50,0.005000000000000000104083408559
435,435_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4810,1,0.386950576064564844003257348959,5,0.005000000000000000104083408559
436,436_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2532,1,0.44943587843324867003858003045,50,0.005000000000000000104083408559
437,437_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3987,1,0.504498668794120197489405654778,50,0.005000000000000000104083408559
438,438_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2530,1,0.431609050491980950070569633681,44,0.005000000000000000104083408559
439,439_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3974,1,0.453608478443076168495906586031,1,0.005000000000000000104083408559
440,440_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1346,1,0.402331542866212199527353732265,23,0.005000000000000000104083408559
441,441_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2524,1,0.488268435740326411931278016709,50,0.005000000000000000104083408559
442,442_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1357,1,0.447205578158007543976282249787,50,0.005000000000000000104083408559
443,443_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4812,1,0.528293128032335745913883329195,50,0.005000000000000000104083408559
444,444_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2523,1,0.376815364000324171112055182675,26,0.005000000000000000104083408559
445,445_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1324,1,0.433260702825646160096795256322,25,0.005000000000000000104083408559
446,446_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3997,1,0.441352184983501094617253102115,1,0.005000000000000000104083408559
447,447_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2513,1,0.448432502161696500131427001179,50,0.005000000000000000104083408559
448,448_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2528,1,0.396797310581056328349092154895,1,0.005000000000000000104083408559
449,449_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1342,1,0.474800972747781269145406213283,50,0.005000000000000000104083408559
450,450_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3460,1,0.445814300022491338815200379031,50,0.005000000000000000104083408559
451,451_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1338,1,0.436992390635801641884938817384,33,0.005000000000000000104083408559
452,452_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2526,1,0.458905940730698569396395214426,50,0.005000000000000000104083408559
453,453_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1237,1,0.488860636623055122562675478548,50,0.005000000000000000104083408559
454,454_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4013,1,0.398354774386069310221358819035,3,0.005000000000000000104083408559
455,455_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2529,1,0.449572910549736137753029652231,50,0.005000000000000000104083408559
456,456_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1314,1,0.477310930815422418405091775639,20,0.005000000000000000104083408559
457,457_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2524,1,0.423725677400737466005153919468,50,0.005000000000000000104083408559
458,458_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4004,1,0.434472334520448311145912612119,2,0.005000000000000000104083408559
459,459_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2522,1,0.470639238750895361196313615437,50,0.005000000000000000104083408559
460,460_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2521,1,0.402532592749429651846071465116,21,0.005000000000000000104083408559
461,461_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1362,1,0.503673550831063354671357501502,50,0.005000000000000000104083408559
462,462_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2521,1,0.443783785024831123333655114038,43,0.005000000000000000104083408559
463,463_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4017,1,0.442854609626423811885587156212,40,0.005000000000000000104083408559
464,464_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1363,1,0.456233159909740948467771204378,50,0.005000000000000000104083408559
465,465_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.540000000000000035527136788005,51,1738,3152,0.602483083728453272520653172251,31,0.025000000000000001387778780781
466,466_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1328,1,0.397445286915654782955442669845,25,0.005000000000000000104083408559
467,467_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2523,1,0.459819433600250848659385383144,50,0.005000000000000000104083408559
468,468_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3991,1,0.400931728192496228402319502493,1,0.005000000000000000104083408559
469,469_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1326,1,0.014413725433974938078263150487,35,0.001000000000000000020816681712
470,470_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2524,1,0.397789399078895655748056015,38,0.005000000000000000104083408559
471,471_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1310,1,0.473495576316034727515358326855,50,0.005000000000000000104083408559
472,472_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2521,1,0.425312191612872370072295780119,17,0.005000000000000000104083408559
473,473_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1316,1,0.445392663868949489902604454983,50,0.005000000000000000104083408559
474,474_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4016,1,0.426931773368127320811282743307,1,0.005000000000000000104083408559
475,475_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2519,1,0.431941273751725918206290089074,50,0.005000000000000000104083408559
476,476_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1329,1,0.430354907402555497686336138941,26,0.005000000000000000104083408559
477,477_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3459,1,0.458093180560686707991635557846,50,0.005000000000000000104083408559
478,478_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4001,1,0.405245835206829108088300017698,1,0.005000000000000000104083408559
479,479_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1256,1,0.496211923783617614436280973678,50,0.005000000000000000104083408559
480,480_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2525,1,0.41161167679489352178023864326,50,0.005000000000000000104083408559
481,481_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3995,1,0.456593333732297657068244234324,1,0.005000000000000000104083408559
482,482_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2525,1,0.423903900093434982121465282034,50,0.005000000000000000104083408559
483,483_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1322,1,0.419907055417393260121627918124,4,0.005000000000000000104083408559
484,484_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1329,1,0.445118475738137175934383549247,50,0.005000000000000000104083408559
485,485_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4834,1,0.396786729031487594987481770659,1,0.005000000000000000104083408559
486,486_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1347,1,0.473144580759886246301704204598,50,0.005000000000000000104083408559
487,487_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2522,1,0.444817747369118665634601939018,44,0.005000000000000000104083408559
488,488_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3982,1,0.43028230325559557734038662602,1,0.005000000000000000104083408559
489,489_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2522,1,0.425285956852921309678805528165,50,0.005000000000000000104083408559
490,490_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1314,1,0.001000000000000000020816681712,50,0.001000000000000000020816681712
491,491_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2535,1,0.401069901561030117687067786392,49,0.005000000000000000104083408559
492,492_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4007,1,0.450988277382767976941835286198,1,0.005000000000000000104083408559
493,493_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2521,1,0.44929243027770460194858515024,50,0.005000000000000000104083408559
494,494_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1326,1,0.403446410899149066064950375221,1,0.005000000000000000104083408559
495,495_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2527,1,0.45634411805483082735790389961,50,0.005000000000000000104083408559
496,496_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1360,1,0.496869958907121378466342775937,50,0.005000000000000000104083408559
497,497_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2516,1,0.474562675571493175485926485635,50,0.005000000000000000104083408559
498,498_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1305,1,0.398532087129838119565761189733,19,0.005000000000000000104083408559
499,499_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3986,1,0.455062977052320793980300095427,41,0.005000000000000000104083408559
500,500_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2520,1,0.40286382293842420976304197211,50,0.005000000000000000104083408559
501,501_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1322,1,0.484592431069580331648438686898,50,0.005000000000000000104083408559
502,502_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1413,1,0.416576486065960482907399864416,13,0.005000000000000000104083408559
503,503_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2525,1,0.453393544076749754889732457741,50,0.005000000000000000104083408559
504,504_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3999,1,0.379574162959571081987775187372,1,0.005000000000000000104083408559
505,505_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1372,1,0.430910095003934345836427155518,50,0.005000000000000000104083408559
506,506_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2526,1,0.44506927530248352464781191884,27,0.005000000000000000104083408559
507,507_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1251,1,0.472902795046046819926743864926,50,0.005000000000000000104083408559
508,508_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2524,1,0.40080895834281082823480346633,9,0.005000000000000000104083408559
509,509_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1182,1,0.47138985477970951620818595984,50,0.005000000000000000104083408559
510,510_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1362,1,0.417994663618341921740295674681,7,0.005000000000000000104083408559
511,511_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2524,1,0.407553387749823914365521204672,50,0.005000000000000000104083408559
512,512_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4007,1,0.451667782189854261076789043727,1,0.005000000000000000104083408559
513,513_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2524,1,0.523607634721565129432008234289,50,0.005000000000000000104083408559
514,514_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1328,1,0.425262513660263519188475811461,11,0.005000000000000000104083408559
515,515_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1382,1,0.477462347776757944917136455842,50,0.005000000000000000104083408559
516,516_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1350,1,0.399044311672358431586360438814,17,0.005000000000000000104083408559
517,517_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2523,1,0.464088683060629059173862742682,50,0.005000000000000000104083408559
518,518_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1277,1,0.36581977255564590567615823602,1,0.005000000000000000104083408559
519,519_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2520,1,0.454282191760729314733424644146,50,0.005000000000000000104083408559
520,520_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2519,1,0.402212251024816780375914504475,47,0.005000000000000000104083408559
521,521_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4005,1,0.462133278760715526800595398527,1,0.005000000000000000104083408559
522,522_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2529,1,0.423414423459108679725915180825,50,0.005000000000000000104083408559
523,523_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4828,1,0.414168118288269049287464440567,50,0.005000000000000000104083408559
524,524_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2521,1,0.436515506325127422559972956151,30,0.005000000000000000104083408559
525,525_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1298,1,0.477631092995699724212954606628,50,0.005000000000000000104083408559
526,526_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2527,1,0.397110686333740026121574828721,33,0.005000000000000000104083408559
527,527_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.619999999999999995559107901499,339,1251,265,0.364739029876184173151187906115,25,0.005000000000000000104083408559
528,528_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4014,1,0.437444709522435526416472839628,8,0.005000000000000000104083408559
529,529_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1350,1,0.42039909156608451512582291798,50,0.005000000000000000104083408559
530,530_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.570000000000000062172489379009,78,4763,2454,0.290856029544249494733776373323,50,0.25
531,531_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1293,1,0.709609382894468732061454829818,50,0.005000000000000000104083408559
532,532_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1661,1,0.011124305649254264197201003128,49,0.005000000000000000104083408559
533,533_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,72,1793,2369,0.133738037654066416193288091563,50,0.100000000000000005551115123126
534,534_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1722,1,0.01430011441581036102377311181,50,0.005000000000000000104083408559
535,535_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.530000000000000026645352591004,73,4049,3078,0.781691847366915215644667114248,50,0.025000000000000001387778780781
536,536_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1776,1,0.703096494886611966812495211343,50,0.005000000000000000104083408559
537,537_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1233,1,0.001000000000000000020816681712,50,0.25
538,538_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.470000000000000028865798640254,53,1657,4898,0.841597650243126715885466637701,1,0.100000000000000005551115123126
539,539_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1233,1,0.002286822136550610215510737078,50,0.25
540,540_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,82,3941,3176,0.221226584010760674026130345737,1,0.005000000000000000104083408559
541,541_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1328,1,0.007542971305455265125516906011,50,0.25
542,542_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1273,1,0.001000000000000000020816681712,50,0.005000000000000000104083408559
543,543_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1119,1,0.814065493681150775806543151702,50,0.010000000000000000208166817117
544,544_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1313,1,0.001000000000000000020816681712,50,0.005000000000000000104083408559
545,545_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2529,1,0.001000000000000000020816681712,50,0.005000000000000000104083408559
546,546_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1261,1,0.001000000000000000020816681712,50,0.005000000000000000104083408559
547,547_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1268,1,0.9989999999999999991118215803,50,0.010000000000000000208166817117
548,548_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1241,1,0.004396298803823053998052206026,50,0.005000000000000000104083408559
549,549_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1299,1,0.001000000000000000020816681712,37,0.005000000000000000104083408559
550,550_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.460000000000000019984014443253,40,1480,4886,0.308500170043674082354101528836,50,0.005000000000000000104083408559
551,551_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1251,1,0.001000000000000000020816681712,50,0.005000000000000000104083408559
552,552_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.609999999999999986677323704498,230,1212,552,0.9989999999999999991118215803,50,0.010000000000000000208166817117
553,553_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.579999999999999960031971113494,93,4040,2202,0.9989999999999999991118215803,50,0.005000000000000000104083408559
554,554_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.320000000000000006661338147751,61,2548,1,0.001000000000000000020816681712,1,0.25
555,555_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1273,1,0.835201971567614886993169420748,50,0.005000000000000000104083408559
556,556_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.320000000000000006661338147751,47,3997,1,0.001000000000000000020816681712,1,0.050000000000000002775557561563
557,557_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1277,1,0.818226551567374227325046831538,50,0.005000000000000000104083408559
558,558_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.579999999999999960031971113494,94,3363,1327,0.188801102121698427538376563461,50,0.050000000000000002775557561563
559,559_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.589999999999999968913755310496,168,3371,1009,0.813842153604528939503381934628,50,0.005000000000000000104083408559
560,560_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.609999999999999986677323704498,200,1479,615,0.9989999999999999991118215803,44,0.005000000000000000104083408559
561,561_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2936,1,0.001000000000000000020816681712,37,0.050000000000000002775557561563
562,562_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2992,1,0.001000000000000000020816681712,39,0.25
563,563_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2907,1,0.001000000000000000020816681712,37,0.050000000000000002775557561563
564,564_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2878,1,0.9989999999999999991118215803,39,0.025000000000000001387778780781
565,565_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2899,1,0.001000000000000000020816681712,38,0.050000000000000002775557561563
566,566_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2909,1,0.9989999999999999991118215803,39,0.025000000000000001387778780781
567,567_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2914,1,0.001000000000000000020816681712,38,0.25
568,568_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2867,1,0.9989999999999999991118215803,38,0.025000000000000001387778780781
569,569_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2915,1,0.001000000000000000020816681712,39,0.050000000000000002775557561563
570,570_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.470000000000000028865798640254,45,1670,4350,0.774658600577105338480521368183,10,0.025000000000000001387778780781
571,571_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2900,1,0.062692692347069492453393024789,38,0.050000000000000002775557561563
572,572_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2795,19,0.9989999999999999991118215803,37,0.025000000000000001387778780781
573,573_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.600000000000000088817841970013,997,2904,50,0.001000000000000000020816681712,38,0.050000000000000002775557561563
574,574_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2890,1,0.9989999999999999991118215803,39,0.025000000000000001387778780781
575,575_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2968,1,0.001000000000000000020816681712,38,0.001000000000000000020816681712
576,576_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,88,4146,2973,0.607452686109176132056575170282,2,0.050000000000000002775557561563
577,577_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2877,1,0.9989999999999999991118215803,39,0.010000000000000000208166817117
578,578_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.600000000000000088817841970013,136,1714,1047,0.412626072298239832125688053566,19,0.050000000000000002775557561563
579,579_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.589999999999999968913755310496,123,1883,1532,0.140519922118221091134060429795,28,0.100000000000000005551115123126
580,580_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,55,2709,1250,0.204145180421658828384678940893,35,0.005000000000000000104083408559
581,581_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.579999999999999960031971113494,86,1561,1679,0.9989999999999999991118215803,16,0.100000000000000005551115123126
582,582_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,71,1559,2037,0.001000000000000000020816681712,4,0.001000000000000000020816681712
583,583_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.540000000000000035527136788005,72,1720,2953,0.524797862356759625690472148563,27,0.050000000000000002775557561563
584,584_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.589999999999999968913755310496,105,1243,963,0.001000000000000000020816681712,1,0.050000000000000002775557561563
585,585_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.600000000000000088817841970013,95,3998,1440,0.058916050266513371458376724377,50,0.25
586,586_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.520000000000000017763568394003,52,1653,2983,0.898492213313135557051225532632,41,0.050000000000000002775557561563
587,587_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3672,1,0.684130439691058467310824653396,50,0.005000000000000000104083408559
588,588_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,121,4328,2491,0.188272096297886937232846094048,10,0.025000000000000001387778780781
589,589_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1219,1,0.001000000000000000020816681712,12,0.025000000000000001387778780781
590,590_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.589999999999999968913755310496,141,1227,985,0.849283169384614344821216036507,38,0.050000000000000002775557561563
591,591_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.619999999999999995559107901499,191,1458,497,0.819930573812733154426268811221,19,0.025000000000000001387778780781
592,592_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.570000000000000062172489379009,80,3514,1700,0.828908822695276104042250153725,33,0.050000000000000002775557561563
593,593_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.600000000000000088817841970013,144,1898,1039,0.623019077628370387955669684743,31,0.010000000000000000208166817117
594,594_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,69,3013,1572,0.707373296837493170663435648748,22,0.005000000000000000104083408559
595,595_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.520000000000000017763568394003,74,1694,3575,0.554471478209584645036045458255,40,0.050000000000000002775557561563
596,596_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.589999999999999968913755310496,103,3008,946,0.606149230954711848440297217167,31,0.050000000000000002775557561563
597,597_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.600000000000000088817841970013,124,4085,1513,0.49459241158215244693607814952,35,0.050000000000000002775557561563
598,598_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.579999999999999960031971113494,95,4538,2147,0.740223609614996336247827457555,11,0.010000000000000000208166817117
599,599_0,FAILED,BoTorch,BOTORCH_MODULAR,,,957,1,0.847611624857968037893840573815,27,0.050000000000000002775557561563
600,600_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.600000000000000088817841970013,140,1570,989,0.956211082046512839127672123141,23,0.025000000000000001387778780781
601,601_0,FAILED,BoTorch,BOTORCH_MODULAR,,,921,1,0.7374119404308790981517063301,37,0.100000000000000005551115123126
602,602_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.609999999999999986677323704498,178,1082,638,0.426570839661309098023167507563,41,0.25
603,603_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1101,1,0.542710863333791038165543341165,42,0.100000000000000005551115123126
604,604_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.579999999999999960031971113494,99,4239,1819,0.001000000000000000020816681712,36,0.010000000000000000208166817117
605,605_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.479999999999999982236431605997,57,4832,4347,0.332580883093735180100480874898,1,0.001000000000000000020816681712
606,606_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1014,1,0.767027123985929981664355636894,37,0.25
607,607_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.540000000000000035527136788005,73,1784,3106,0.753376912221547789805242700822,23,0.010000000000000000208166817117
608,608_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,69,1667,2350,0.001000000000000000020816681712,18,0.25
609,609_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.489999999999999991118215802999,44,3669,4429,0.780048314418072985532148777565,46,0.010000000000000000208166817117
610,610_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1021,1,0.766129166927527527342078883521,37,0.25
611,611_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1243,1,0.133606134736232312620884954413,1,0.050000000000000002775557561563
612,612_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3679,1,0.770849736910836469405694515444,39,0.100000000000000005551115123126
613,613_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.589999999999999968913755310496,117,1475,1045,0.9989999999999999991118215803,18,0.050000000000000002775557561563
614,614_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.470000000000000028865798640254,42,1462,4646,0.001000000000000000020816681712,1,0.025000000000000001387778780781
615,615_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.540000000000000035527136788005,65,4095,3433,0.968698519898311904974264052726,20,0.001000000000000000020816681712
616,616_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1197,1,0.773335919063679377849496177078,38,0.100000000000000005551115123126
617,617_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3249,1,0.802265737947582380229505361058,38,0.010000000000000000208166817117
618,618_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1263,1,0.001000000000000000020816681712,10,0.025000000000000001387778780781
619,619_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1028,1,0.800600889233421542101609702513,37,0.001000000000000000020816681712
620,620_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.489999999999999991118215802999,53,1713,3734,0.001000000000000000020816681712,42,0.025000000000000001387778780781
621,621_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.470000000000000028865798640254,44,1599,4759,0.141970205776356328541965012846,17,0.025000000000000001387778780781
622,622_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.320000000000000006661338147751,45,1278,1,0.001000000000000000020816681712,1,0.001000000000000000020816681712
623,623_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.5,48,3809,4015,0.973419367844927219124429029762,14,0.010000000000000000208166817117
624,624_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.589999999999999968913755310496,91,4399,1948,0.9989999999999999991118215803,50,0.050000000000000002775557561563
625,625_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.5,48,3899,4056,0.9989999999999999991118215803,12,0.050000000000000002775557561563
626,626_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1714,1,0.798692407048741559449922533531,36,0.100000000000000005551115123126
627,627_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.600000000000000088817841970013,105,1575,1138,0.9989999999999999991118215803,50,0.100000000000000005551115123126
628,628_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.579999999999999960031971113494,93,1482,1373,0.12864656077819450197274875336,43,0.001000000000000000020816681712
629,629_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,74,1093,1594,0.032320777739681762208423521088,16,0.001000000000000000020816681712
630,630_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.520000000000000017763568394003,60,3690,3561,0.8522099730666806705059457272,34,0.025000000000000001387778780781
631,631_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3738,1,0.782690229017617533635586823948,40,0.010000000000000000208166817117
632,632_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.600000000000000088817841970013,152,1147,780,0.728177683020164390192974224192,29,0.100000000000000005551115123126
633,633_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.489999999999999991118215802999,48,5000,5000,0.671146118717867778968866332434,47,0.100000000000000005551115123126
634,634_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.510000000000000008881784197001,60,4998,3735,0.001000000000000000020816681712,50,0.25
635,635_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4707,1,0.813513751477055957472828140453,37,0.010000000000000000208166817117
636,636_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.589999999999999968913755310496,163,1107,905,0.001000000000000000020816681712,32,0.025000000000000001387778780781
637,637_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3273,1,0.786790498310724562003315440961,41,0.010000000000000000208166817117
638,638_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.479999999999999982236431605997,76,3691,4370,0.86240033541940730454911090419,29,0.001000000000000000020816681712
639,639_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.600000000000000088817841970013,1872,1298,69,0.780439572384673763139062430128,40,0.010000000000000000208166817117
640,640_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1319,270,0.9989999999999999991118215803,50,0.025000000000000001387778780781
641,641_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.609999999999999986677323704498,290,3101,269,0.9989999999999999991118215803,50,0.100000000000000005551115123126
642,642_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3312,270,0.9989999999999999991118215803,50,0.025000000000000001387778780781
643,643_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.600000000000000088817841970013,131,4016,1402,0.9989999999999999991118215803,50,0.010000000000000000208166817117
644,644_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.600000000000000088817841970013,114,2947,803,0.9989999999999999991118215803,50,0.025000000000000001387778780781
645,645_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.600000000000000088817841970013,138,3946,1231,0.001000000000000000020816681712,43,0.010000000000000000208166817117
646,646_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.619999999999999995559107901499,300,3314,260,0.269024451797957142584749590242,50,0.025000000000000001387778780781
647,647_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,71,4291,2719,0.9989999999999999991118215803,1,0.010000000000000000208166817117
648,648_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.450000000000000011102230246252,56,3527,3811,0.24557100415235219581511216802,1,0.010000000000000000208166817117
649,649_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.619999999999999995559107901499,212,1250,311,0.9989999999999999991118215803,50,0.005000000000000000104083408559
650,650_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.619999999999999995559107901499,286,3381,281,0.9989999999999999991118215803,50,0.005000000000000000104083408559
651,651_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.609999999999999986677323704498,1938,1166,84,0.764026982879914884350114334666,50,0.005000000000000000104083408559
652,652_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1156,29,0.387425961115542671908684724258,50,0.005000000000000000104083408559
653,653_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.609999999999999986677323704498,225,2719,302,0.9989999999999999991118215803,50,0.025000000000000001387778780781
654,654_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.5,66,4880,4082,0.691713709224799799812899436802,48,0.025000000000000001387778780781
655,655_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.600000000000000088817841970013,270,4515,1553,0.001000000000000000020816681712,50,0.001000000000000000020816681712
656,656_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.540000000000000035527136788005,52,4042,3554,0.9989999999999999991118215803,2,0.005000000000000000104083408559
657,657_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.619999999999999995559107901499,432,1618,281,0.645748855671260280075784976361,47,0.025000000000000001387778780781
658,658_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1220,296,0.659700288161630066241514214198,38,0.025000000000000001387778780781
659,659_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4954,287,0.643996506978077420946249276312,50,0.025000000000000001387778780781
660,660_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.619999999999999995559107901499,331,1710,322,0.681790081034168826690233800036,46,0.050000000000000002775557561563
661,661_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1232,323,0.692214079076246768806868203683,37,0.005000000000000000104083408559
662,662_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.570000000000000062172489379009,89,3982,2292,0.9989999999999999991118215803,13,0.25
663,663_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.579999999999999960031971113494,88,1775,1818,0.9989999999999999991118215803,40,0.025000000000000001387778780781
664,664_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1728,1,0.001000000000000000020816681712,45,0.025000000000000001387778780781
665,665_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.619999999999999995559107901499,146,3325,742,0.9989999999999999991118215803,43,0.050000000000000002775557561563
666,666_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.530000000000000026645352591004,59,1752,3395,0.280641569680610158954436883505,25,0.050000000000000002775557561563
667,667_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,117,4749,2428,0.001000000000000000020816681712,27,0.050000000000000002775557561563
668,668_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.5,63,4234,3780,0.9989999999999999991118215803,1,0.025000000000000001387778780781
669,669_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.579999999999999960031971113494,138,4381,1962,0.9989999999999999991118215803,1,0.001000000000000000020816681712
670,670_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.530000000000000026645352591004,60,2620,1237,0.9989999999999999991118215803,10,0.025000000000000001387778780781
671,671_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1226,289,0.02062701304010611941253117152,50,0.001000000000000000020816681712
672,672_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.540000000000000035527136788005,61,1790,3202,0.9989999999999999991118215803,25,0.050000000000000002775557561563
673,673_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.589999999999999968913755310496,122,4448,1736,0.001000000000000000020816681712,6,0.050000000000000002775557561563
674,674_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.540000000000000035527136788005,88,4584,3049,0.001000000000000000020816681712,46,0.050000000000000002775557561563
675,675_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,143,4547,2718,0.001000000000000000020816681712,39,0.001000000000000000020816681712
676,676_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3220,16,0.001000000000000000020816681712,44,0.025000000000000001387778780781
677,677_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.600000000000000088817841970013,118,1767,1172,0.9989999999999999991118215803,50,0.050000000000000002775557561563
678,678_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.589999999999999968913755310496,142,1764,1238,0.001000000000000000020816681712,50,0.025000000000000001387778780781
679,679_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1159,21,0.001000000000000000020816681712,42,0.025000000000000001387778780781
680,680_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.570000000000000062172489379009,103,3854,2209,0.9989999999999999991118215803,8,0.050000000000000002775557561563
681,681_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.579999999999999960031971113494,127,1400,1192,0.9989999999999999991118215803,3,0.100000000000000005551115123126
682,682_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,1615,698,0.001000000000000000020816681712,5,0.050000000000000002775557561563
683,683_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.579999999999999960031971113494,139,1613,1400,0.001000000000000000020816681712,50,0.005000000000000000104083408559
684,684_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.479999999999999982236431605997,44,1794,4937,0.001000000000000000020816681712,5,0.005000000000000000104083408559
685,685_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.479999999999999982236431605997,53,4654,3831,0.9989999999999999991118215803,1,0.050000000000000002775557561563
686,686_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,62,3285,1997,0.001000000000000000020816681712,15,0.050000000000000002775557561563
687,687_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.540000000000000035527136788005,73,3767,2694,0.521513434431213673825311616383,5,0.050000000000000002775557561563
688,688_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.530000000000000026645352591004,62,1649,2809,0.057067424846772518698401199799,8,0.050000000000000002775557561563
689,689_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.589999999999999968913755310496,98,4277,1721,0.933826475455907689671164462197,50,0.25
690,690_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,69,1841,2381,0.9989999999999999991118215803,34,0.100000000000000005551115123126
691,691_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.619999999999999995559107901499,160,4888,686,0.001000000000000000020816681712,1,0.025000000000000001387778780781
692,692_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.479999999999999982236431605997,46,3646,4517,0.547124812296080897944250409637,50,0.010000000000000000208166817117
693,693_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.589999999999999968913755310496,86,4389,1745,0.001000000000000000020816681712,7,0.025000000000000001387778780781
694,694_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1189,1,0.001000000000000000020816681712,41,0.025000000000000001387778780781
695,695_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1214,284,0.001000000000000000020816681712,50,0.010000000000000000208166817117
696,696_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.589999999999999968913755310496,140,1526,873,0.001000000000000000020816681712,1,0.010000000000000000208166817117
697,697_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.599999999999999977795539507497,148,3301,647,0.9989999999999999991118215803,45,0.025000000000000001387778780781
698,698_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.579999999999999960031971113494,95,3981,2170,0.001000000000000000020816681712,40,0.050000000000000002775557561563
699,699_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1197,1,0.001000000000000000020816681712,41,0.025000000000000001387778780781
700,700_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.540000000000000035527136788005,87,4688,2721,0.9989999999999999991118215803,50,0.050000000000000002775557561563
701,701_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3360,1,0.001000000000000000020816681712,44,0.025000000000000001387778780781
702,702_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1353,602,0.001000000000000000020816681712,27,0.100000000000000005551115123126
703,703_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.530000000000000026645352591004,52,1703,3472,0.363132534405471663063735832111,31,0.025000000000000001387778780781
704,704_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.540000000000000035527136788005,56,1841,2891,0.9989999999999999991118215803,29,0.100000000000000005551115123126
705,705_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.450000000000000011102230246252,61,3834,3904,0.910454352436511960000586896058,30,0.025000000000000001387778780781
706,706_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.540000000000000035527136788005,69,1788,2936,0.001000000000000000020816681712,22,0.025000000000000001387778780781
707,707_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.569999999999999951150186916493,74,4310,2225,0.001000000000000000020816681712,8,0.025000000000000001387778780781
708,708_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1186,1,0.9989999999999999991118215803,40,0.025000000000000001387778780781
709,709_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,69,4175,2542,0.001000000000000000020816681712,1,0.001000000000000000020816681712
710,710_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4834,282,0.001000000000000000020816681712,50,0.001000000000000000020816681712
711,711_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.520000000000000017763568394003,65,4044,3618,0.001000000000000000020816681712,1,0.001000000000000000020816681712
712,712_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3185,1,0.9989999999999999991118215803,50,0.025000000000000001387778780781
713,713_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.5,60,1168,3129,0.001000000000000000020816681712,5,0.025000000000000001387778780781
714,714_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.520000000000000017763568394003,58,3502,3319,0.001000000000000000020816681712,50,0.010000000000000000208166817117
715,715_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,79,4590,2708,0.001000000000000000020816681712,1,0.025000000000000001387778780781
716,716_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.569999999999999951150186916493,77,1790,1950,0.001000000000000000020816681712,1,0.025000000000000001387778780781
717,717_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.489999999999999991118215802999,66,4095,3994,0.001000000000000000020816681712,3,0.050000000000000002775557561563
718,718_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.450000000000000011102230246252,41,1253,5000,0.9989999999999999991118215803,1,0.050000000000000002775557561563
719,719_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.489999999999999991118215802999,54,3930,4523,0.9989999999999999991118215803,1,0.005000000000000000104083408559
720,720_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.479999999999999982236431605997,61,3980,4193,0.9989999999999999991118215803,1,0.005000000000000000104083408559
721,721_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.599999999999999977795539507497,134,4925,1297,0.9989999999999999991118215803,16,0.050000000000000002775557561563
722,722_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.489999999999999991118215802999,62,4611,4612,0.9989999999999999991118215803,50,0.025000000000000001387778780781
723,723_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.44000000000000000222044604925,49,1603,4232,0.9989999999999999991118215803,50,0.100000000000000005551115123126
724,724_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.489999999999999991118215802999,72,4734,4139,0.001000000000000000020816681712,1,0.050000000000000002775557561563
725,725_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.469999999999999973354647408996,46,3497,3985,0.001000000000000000020816681712,50,0.25
726,726_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.489999999999999991118215802999,51,4874,4663,0.001000000000000000020816681712,50,0.025000000000000001387778780781
727,727_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.469999999999999973354647408996,44,1663,5000,0.123862001657684003830262042811,1,0.050000000000000002775557561563
728,728_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.530000000000000026645352591004,72,4217,2858,0.9989999999999999991118215803,1,0.001000000000000000020816681712
729,729_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,77,4093,2482,0.9989999999999999991118215803,1,0.001000000000000000020816681712
730,730_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.609999999999999986677323704498,185,1587,685,0.001000000000000000020816681712,34,0.100000000000000005551115123126
731,731_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.479999999999999982236431605997,46,1736,4499,0.001000000000000000020816681712,1,0.050000000000000002775557561563
732,732_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.599999999999999977795539507497,129,1554,870,0.9989999999999999991118215803,1,0.25
733,733_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.479999999999999982236431605997,50,4007,4707,0.9989999999999999991118215803,1,0.025000000000000001387778780781
734,734_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.609999999999999986677323704498,396,1477,229,0.9989999999999999991118215803,50,0.050000000000000002775557561563
735,735_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.540000000000000035527136788005,68,4773,3426,0.9989999999999999991118215803,50,0.010000000000000000208166817117
736,736_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.540000000000000035527136788005,70,4771,3576,0.001000000000000000020816681712,50,0.25
737,737_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.599999999999999977795539507497,157,4702,1188,0.563677612832465091408096213854,18,0.005000000000000000104083408559
738,738_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.589999999999999968913755310496,105,1869,1589,0.9989999999999999991118215803,1,0.010000000000000000208166817117
739,739_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.469999999999999973354647408996,45,4848,4852,0.001000000000000000020816681712,1,0.100000000000000005551115123126
740,740_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.589999999999999968913755310496,92,4139,1784,0.9989999999999999991118215803,1,0.010000000000000000208166817117
741,741_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.489999999999999991118215802999,49,3994,4312,0.001000000000000000020816681712,50,0.025000000000000001387778780781
742,742_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.609999999999999986677323704498,249,1267,583,0.001000000000000000020816681712,30,0.005000000000000000104083408559
743,743_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,59,4035,3015,0.9989999999999999991118215803,16,0.25
744,744_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.460000000000000019984014443253,62,860,3047,0.9989999999999999991118215803,11,0.050000000000000002775557561563
745,745_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.609999999999999986677323704498,175,5000,715,0.9989999999999999991118215803,1,0.050000000000000002775557561563
746,746_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2968,1,0.001000000000000000020816681712,48,0.025000000000000001387778780781
747,747_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.569999999999999951150186916493,79,723,899,0.001000000000000000020816681712,22,0.25
748,748_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1205,1,0.001000000000000000020816681712,42,0.025000000000000001387778780781
749,749_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.5,61,1834,3657,0.979793846120969424973168315773,18,0.050000000000000002775557561563
750,750_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.579999999999999960031971113494,81,4277,1884,0.001000000000000000020816681712,50,0.025000000000000001387778780781
751,751_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.609999999999999986677323704498,141,1484,747,0.001000000000000000020816681712,16,0.050000000000000002775557561563
752,752_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.599999999999999977795539507497,140,4774,1322,0.001000000000000000020816681712,1,0.010000000000000000208166817117
753,753_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.540000000000000035527136788005,91,3760,2534,0.9989999999999999991118215803,50,0.050000000000000002775557561563
754,754_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,152,3859,2566,0.001000000000000000020816681712,50,0.001000000000000000020816681712
755,755_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.44000000000000000222044604925,46,1449,3955,0.503449646325924926593131658592,1,0.005000000000000000104083408559
756,756_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.540000000000000035527136788005,64,5000,2885,0.9989999999999999991118215803,50,0.025000000000000001387778780781
757,757_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.479999999999999982236431605997,45,3815,4430,0.9989999999999999991118215803,1,0.100000000000000005551115123126
758,758_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.489999999999999991118215802999,52,1824,3731,0.001000000000000000020816681712,1,0.025000000000000001387778780781
759,759_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,66,4801,2604,0.9989999999999999991118215803,1,0.100000000000000005551115123126
760,760_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.569999999999999951150186916493,94,4727,2382,0.9989999999999999991118215803,50,0.025000000000000001387778780781
761,761_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.540000000000000035527136788005,63,1848,3148,0.001000000000000000020816681712,50,0.010000000000000000208166817117
762,762_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.540000000000000035527136788005,70,3816,3149,0.9989999999999999991118215803,50,0.005000000000000000104083408559
763,763_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.589999999999999968913755310496,102,4711,1716,0.50238505058718385676286288799,34,0.025000000000000001387778780781
764,764_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,75,1792,2060,0.9989999999999999991118215803,50,0.25
765,765_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.569999999999999951150186916493,82,4149,2379,0.587152778705629874167470916291,1,0.005000000000000000104083408559
766,766_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.609999999999999986677323704498,202,4789,858,0.001000000000000000020816681712,13,0.001000000000000000020816681712
767,767_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.489999999999999991118215802999,61,1821,3714,0.9989999999999999991118215803,50,0.025000000000000001387778780781
768,768_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.609999999999999986677323704498,131,4324,1279,0.9989999999999999991118215803,50,0.025000000000000001387778780781
769,769_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.579999999999999960031971113494,79,4153,2126,0.001000000000000000020816681712,1,0.050000000000000002775557561563
770,770_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.540000000000000035527136788005,73,4607,3516,0.001000000000000000020816681712,1,0.050000000000000002775557561563
771,771_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.619999999999999995559107901499,218,4889,468,0.9989999999999999991118215803,1,0.001000000000000000020816681712
772,772_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.409999999999999975575093458247,34,936,3876,0.001000000000000000020816681712,50,0.025000000000000001387778780781
773,773_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.479999999999999982236431605997,45,3578,4081,0.001000000000000000020816681712,50,0.050000000000000002775557561563
774,774_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1286,1,0.9989999999999999991118215803,47,0.025000000000000001387778780781
775,775_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.489999999999999991118215802999,56,4237,5000,0.9989999999999999991118215803,32,0.005000000000000000104083408559
776,776_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.5,61,4156,4654,0.9989999999999999991118215803,50,0.001000000000000000020816681712
777,777_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,58,3946,3283,0.001000000000000000020816681712,1,0.025000000000000001387778780781
778,778_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.589999999999999968913755310496,103,1792,1676,0.505093020338126974522197087936,1,0.005000000000000000104083408559
779,779_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.489999999999999991118215802999,62,4073,4704,0.001000000000000000020816681712,1,0.050000000000000002775557561563
780,780_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.479999999999999982236431605997,59,5000,4477,0.9989999999999999991118215803,50,0.001000000000000000020816681712
781,781_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.609999999999999986677323704498,185,1729,751,0.9989999999999999991118215803,50,0.100000000000000005551115123126
782,782_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.479999999999999982236431605997,66,1907,4500,0.403047462081664087385490802262,1,0.100000000000000005551115123126
783,783_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.479999999999999982236431605997,57,3752,4111,0.9989999999999999991118215803,50,0.005000000000000000104083408559
784,784_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.489999999999999991118215802999,51,1828,4115,0.512609603024293813966494326451,1,0.010000000000000000208166817117
785,785_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.609999999999999986677323704498,167,3579,856,0.9989999999999999991118215803,38,0.005000000000000000104083408559
786,786_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.540000000000000035527136788005,78,1829,2801,0.001000000000000000020816681712,35,0.050000000000000002775557561563
787,787_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.579999999999999960031971113494,135,4635,1728,0.001000000000000000020816681712,50,0.005000000000000000104083408559
788,788_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.589999999999999968913755310496,101,1794,1477,0.9989999999999999991118215803,1,0.005000000000000000104083408559
789,789_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.489999999999999991118215802999,46,4153,4784,0.9989999999999999991118215803,1,0.25
790,790_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.579999999999999960031971113494,101,4040,1718,0.9989999999999999991118215803,23,0.005000000000000000104083408559
791,791_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.609999999999999986677323704498,138,4623,1054,0.001000000000000000020816681712,1,0.25
792,792_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.479999999999999982236431605997,45,4045,4830,0.001000000000000000020816681712,50,0.25
793,793_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.520000000000000017763568394003,52,1679,3404,0.9989999999999999991118215803,1,0.25
794,794_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.489999999999999991118215802999,54,1774,4429,0.001000000000000000020816681712,50,0.25
795,795_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.579999999999999960031971113494,104,1777,1835,0.535678370925082081299706260324,1,0.100000000000000005551115123126
796,796_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.599999999999999977795539507497,143,3586,724,0.510101953192440005224739252299,50,0.050000000000000002775557561563
797,797_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.530000000000000026645352591004,69,3080,1830,0.9989999999999999991118215803,50,0.100000000000000005551115123126
798,798_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.569999999999999951150186916493,79,3995,2280,0.36548447590373894788839947978,50,0.010000000000000000208166817117
799,799_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.609999999999999986677323704498,145,4819,967,0.9989999999999999991118215803,1,0.025000000000000001387778780781
800,800_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.469999999999999973354647408996,57,1815,3976,0.436711816346683379119752999031,50,0.005000000000000000104083408559
801,801_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.599999999999999977795539507497,114,4221,1365,0.384558552601063141640480580463,50,0.050000000000000002775557561563
802,802_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.569999999999999951150186916493,72,4509,2399,0.001000000000000000020816681712,1,0.005000000000000000104083408559
803,803_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.5,47,1850,4066,0.9989999999999999991118215803,1,0.005000000000000000104083408559
804,804_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.589999999999999968913755310496,139,4475,1387,0.001000000000000000020816681712,26,0.010000000000000000208166817117
805,805_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.569999999999999951150186916493,73,4075,2287,0.001000000000000000020816681712,42,0.050000000000000002775557561563
806,806_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.589999999999999968913755310496,110,2748,715,0.001000000000000000020816681712,36,0.050000000000000002775557561563
807,807_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3188,1,0.001000000000000000020816681712,50,0.025000000000000001387778780781
808,808_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.579999999999999960031971113494,93,4630,1633,0.001000000000000000020816681712,1,0.25
809,809_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.489999999999999991118215802999,61,4174,4171,0.001000000000000000020816681712,50,0.005000000000000000104083408559
810,810_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.460000000000000019984014443253,50,3894,4255,0.001000000000000000020816681712,1,0.010000000000000000208166817117
811,811_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.530000000000000026645352591004,58,4799,3453,0.001000000000000000020816681712,50,0.025000000000000001387778780781
812,812_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.589999999999999968913755310496,117,1476,1131,0.9989999999999999991118215803,2,0.050000000000000002775557561563
813,813_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.489999999999999991118215802999,55,1742,4674,0.415228446503523973554194981261,50,0.005000000000000000104083408559
814,814_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.479999999999999982236431605997,53,4140,4330,0.9989999999999999991118215803,50,0.050000000000000002775557561563
815,815_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.530000000000000026645352591004,69,4403,3431,0.480643545735968458210152221,50,0.001000000000000000020816681712
816,816_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.589999999999999968913755310496,99,1769,1660,0.9989999999999999991118215803,34,0.050000000000000002775557561563
817,817_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.469999999999999973354647408996,65,4797,3879,0.9989999999999999991118215803,50,0.025000000000000001387778780781
818,818_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1365,1,0.9989999999999999991118215803,47,0.025000000000000001387778780781
819,819_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.479999999999999982236431605997,50,1753,4549,0.001000000000000000020816681712,26,0.25
820,820_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.530000000000000026645352591004,52,1741,3503,0.9989999999999999991118215803,1,0.25
821,821_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.489999999999999991118215802999,57,4356,5000,0.508908257618859827253743333131,1,0.025000000000000001387778780781
822,822_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.589999999999999968913755310496,85,3538,1321,0.713576605364549254595374350174,1,0.25
823,823_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.530000000000000026645352591004,55,1818,3235,0.9989999999999999991118215803,50,0.050000000000000002775557561563
824,824_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.460000000000000019984014443253,52,4695,4284,0.9989999999999999991118215803,1,0.001000000000000000020816681712
825,825_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4897,1,0.9989999999999999991118215803,1,0.025000000000000001387778780781
826,826_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.609999999999999986677323704498,206,4377,937,0.001000000000000000020816681712,50,0.025000000000000001387778780781
827,827_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.479999999999999982236431605997,43,4277,4882,0.9989999999999999991118215803,18,0.025000000000000001387778780781
828,828_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.479999999999999982236431605997,47,1758,4646,0.9989999999999999991118215803,1,0.005000000000000000104083408559
829,829_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.479999999999999982236431605997,62,3976,3845,0.399752357120853551997186059452,16,0.050000000000000002775557561563
830,830_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.479999999999999982236431605997,63,4020,4545,0.9989999999999999991118215803,50,0.25
831,831_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.460000000000000019984014443253,66,1830,3883,0.001000000000000000020816681712,1,0.025000000000000001387778780781
832,832_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2664,1,0.001000000000000000020816681712,50,0.025000000000000001387778780781
833,833_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.599999999999999977795539507497,117,3451,997,0.9989999999999999991118215803,29,0.050000000000000002775557561563
834,834_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.540000000000000035527136788005,69,4243,2815,0.438811400942881735254275099578,1,0.25
835,835_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.609999999999999986677323704498,167,1667,745,0.9989999999999999991118215803,43,0.010000000000000000208166817117
836,836_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.579999999999999960031971113494,90,4004,1963,0.001000000000000000020816681712,1,0.050000000000000002775557561563
837,837_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.579999999999999960031971113494,83,1842,1849,0.001000000000000000020816681712,1,0.005000000000000000104083408559
838,838_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.609999999999999986677323704498,114,4160,1201,0.9989999999999999991118215803,29,0.050000000000000002775557561563
839,839_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.479999999999999982236431605997,52,4487,4911,0.001000000000000000020816681712,50,0.050000000000000002775557561563
840,840_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2656,1,0.001000000000000000020816681712,50,0.025000000000000001387778780781
841,841_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.599999999999999977795539507497,109,1729,1282,0.001000000000000000020816681712,50,0.100000000000000005551115123126
842,842_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.540000000000000035527136788005,58,1766,3230,0.9989999999999999991118215803,36,0.100000000000000005551115123126
843,843_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.409999999999999975575093458247,36,2860,4930,0.001000000000000000020816681712,1,0.025000000000000001387778780781
844,844_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.469999999999999973354647408996,57,4176,4230,0.683034944221381778994839351071,50,0.005000000000000000104083408559
845,845_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,67,1791,2293,0.001000000000000000020816681712,1,0.005000000000000000104083408559
846,846_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.540000000000000035527136788005,65,4689,2947,0.001000000000000000020816681712,1,0.005000000000000000104083408559
847,847_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1300,1,0.9989999999999999991118215803,49,0.025000000000000001387778780781
848,848_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.479999999999999982236431605997,54,1737,4145,0.9989999999999999991118215803,30,0.050000000000000002775557561563
849,849_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.489999999999999991118215802999,54,1763,3712,0.315658020772085878835611083559,1,0.025000000000000001387778780781
850,850_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.540000000000000035527136788005,67,4869,2979,0.9989999999999999991118215803,50,0.100000000000000005551115123126
851,851_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.609999999999999986677323704498,157,1240,485,0.9989999999999999991118215803,34,0.100000000000000005551115123126
852,852_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.609999999999999986677323704498,165,4197,764,0.9989999999999999991118215803,50,0.001000000000000000020816681712
853,853_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.609999999999999986677323704498,161,4817,843,0.267238103157458994907358373894,1,0.25
854,854_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.579999999999999960031971113494,125,1418,1335,0.9989999999999999991118215803,1,0.050000000000000002775557561563
855,855_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.619999999999999995559107901499,211,3259,308,0.814937805956197025558651603205,47,0.010000000000000000208166817117
856,856_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.540000000000000035527136788005,73,4308,3352,0.679738318889548942536293907324,19,0.25
857,857_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.599999999999999977795539507497,243,3166,722,0.001000000000000000020816681712,40,0.005000000000000000104083408559
858,858_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.569999999999999951150186916493,102,1724,1993,0.35695655493792877166470134398,50,0.025000000000000001387778780781
859,859_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.579999999999999960031971113494,88,1762,1878,0.9989999999999999991118215803,10,0.050000000000000002775557561563
860,860_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.609999999999999986677323704498,153,4748,937,0.9989999999999999991118215803,8,0.050000000000000002775557561563
861,861_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.609999999999999986677323704498,200,1475,730,0.9989999999999999991118215803,12,0.100000000000000005551115123126
862,862_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.540000000000000035527136788005,60,1760,2942,0.9989999999999999991118215803,1,0.001000000000000000020816681712
863,863_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.579999999999999960031971113494,106,4696,1980,0.9989999999999999991118215803,42,0.001000000000000000020816681712
864,864_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.320000000000000006661338147751,20,1,5000,0.001000000000000000020816681712,1,0.010000000000000000208166817117
865,865_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.609999999999999986677323704498,199,1284,542,0.9989999999999999991118215803,30,0.050000000000000002775557561563
866,866_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.30999999999999999777955395075,23,1,2729,0.001000000000000000020816681712,1,0.100000000000000005551115123126
867,867_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.520000000000000017763568394003,65,4649,3634,0.9989999999999999991118215803,50,0.100000000000000005551115123126
868,868_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.489999999999999991118215802999,47,4147,5000,0.001000000000000000020816681712,27,0.010000000000000000208166817117
869,869_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.599999999999999977795539507497,104,857,746,0.9989999999999999991118215803,49,0.010000000000000000208166817117
870,870_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.569999999999999951150186916493,86,4298,2235,0.9989999999999999991118215803,50,0.050000000000000002775557561563
871,871_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.540000000000000035527136788005,79,4793,2635,0.9989999999999999991118215803,50,0.25
872,872_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.489999999999999991118215802999,52,4093,4404,0.001000000000000000020816681712,1,0.025000000000000001387778780781
873,873_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.479999999999999982236431605997,58,1742,3725,0.9989999999999999991118215803,22,0.25
874,874_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.530000000000000026645352591004,50,1753,3510,0.450952960433276428542370695141,1,0.025000000000000001387778780781
875,875_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.429999999999999993338661852249,40,1055,4931,0.9989999999999999991118215803,50,0.025000000000000001387778780781
876,876_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.599999999999999977795539507497,142,4195,1086,0.212089080540408009278863232794,50,0.001000000000000000020816681712
877,877_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.540000000000000035527136788005,67,3912,2789,0.9989999999999999991118215803,23,0.005000000000000000104083408559
878,878_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2772,1,0.9989999999999999991118215803,50,0.025000000000000001387778780781
879,879_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1075,283,0.001000000000000000020816681712,50,0.25
880,880_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.579999999999999960031971113494,113,4391,2109,0.001000000000000000020816681712,50,0.050000000000000002775557561563
881,881_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2666,1,0.001000000000000000020816681712,50,0.025000000000000001387778780781
882,882_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.579999999999999960031971113494,106,4250,1872,0.767956766383247724228056085849,50,0.25
883,883_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.609999999999999986677323704498,180,1672,750,0.9989999999999999991118215803,50,0.050000000000000002775557561563
884,884_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.5,47,1164,3122,0.001000000000000000020816681712,5,0.050000000000000002775557561563
885,885_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.479999999999999982236431605997,101,3715,4922,0.001000000000000000020816681712,24,0.001000000000000000020816681712
886,886_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.609999999999999986677323704498,198,1063,462,0.9989999999999999991118215803,38,0.005000000000000000104083408559
887,887_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3107,1,0.001000000000000000020816681712,50,0.025000000000000001387778780781
888,888_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.609999999999999986677323704498,181,1696,743,0.9989999999999999991118215803,50,0.025000000000000001387778780781
889,889_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.569999999999999951150186916493,92,1702,2040,0.9989999999999999991118215803,12,0.050000000000000002775557561563
890,890_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.599999999999999977795539507497,125,1820,1217,0.9989999999999999991118215803,4,0.050000000000000002775557561563
891,891_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4956,1,0.9989999999999999991118215803,1,0.025000000000000001387778780781
892,892_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.609999999999999986677323704498,330,1497,478,0.001000000000000000020816681712,28,0.001000000000000000020816681712
893,893_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.579999999999999960031971113494,106,4057,1703,0.9989999999999999991118215803,50,0.050000000000000002775557561563
894,894_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.530000000000000026645352591004,60,1737,3507,0.9989999999999999991118215803,50,0.010000000000000000208166817117
895,895_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.540000000000000035527136788005,78,1813,3072,0.9989999999999999991118215803,1,0.100000000000000005551115123126
896,896_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.540000000000000035527136788005,62,4154,3504,0.001000000000000000020816681712,8,0.005000000000000000104083408559
897,897_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.569999999999999951150186916493,96,4258,2189,0.206335836891812035576165840212,1,0.010000000000000000208166817117
898,898_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,85,1781,3273,0.497227059290200001928639039761,50,0.001000000000000000020816681712
899,899_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.609999999999999986677323704498,209,4895,745,0.516092247167975193278266488051,50,0.050000000000000002775557561563
900,900_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.5,54,4901,4041,0.481219167597033592453925621157,1,0.050000000000000002775557561563
901,901_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.619999999999999995559107901499,273,1297,281,0.001000000000000000020816681712,50,0.25
902,902_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,66,4568,3188,0.9989999999999999991118215803,14,0.010000000000000000208166817117
903,903_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.569999999999999951150186916493,104,4200,2370,0.9989999999999999991118215803,50,0.001000000000000000020816681712
904,904_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4890,6,0.001000000000000000020816681712,26,0.025000000000000001387778780781
905,905_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.599999999999999977795539507497,497,4836,1145,0.001000000000000000020816681712,50,0.001000000000000000020816681712
906,906_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.619999999999999995559107901499,237,4876,526,0.655079450375493088642997463467,26,0.025000000000000001387778780781
907,907_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.609999999999999986677323704498,272,4657,507,0.9989999999999999991118215803,50,0.010000000000000000208166817117
908,908_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,92,4011,2649,0.9989999999999999991118215803,1,0.025000000000000001387778780781
909,909_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,71,1837,2391,0.9989999999999999991118215803,1,0.25
910,910_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.540000000000000035527136788005,68,4655,2889,0.001000000000000000020816681712,50,0.010000000000000000208166817117
911,911_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.479999999999999982236431605997,72,4291,4562,0.001000000000000000020816681712,50,0.001000000000000000020816681712
912,912_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.479999999999999982236431605997,60,5000,4548,0.395506779999084456811431209644,25,0.010000000000000000208166817117
913,913_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,77,1900,2601,0.386739065631536149680869129952,1,0.010000000000000000208166817117
914,914_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.579999999999999960031971113494,108,1714,1557,0.9989999999999999991118215803,1,0.050000000000000002775557561563
915,915_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.460000000000000019984014443253,51,1363,4804,0.445209977165536785470578706736,1,0.025000000000000001387778780781
916,916_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.479999999999999982236431605997,68,1856,4839,0.9989999999999999991118215803,1,0.025000000000000001387778780781
917,917_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.530000000000000026645352591004,58,1742,3391,0.398925914106763090938301274946,1,0.010000000000000000208166817117
918,918_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.520000000000000017763568394003,71,1748,3574,0.365709809920307660213723011111,1,0.010000000000000000208166817117
919,919_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.530000000000000026645352591004,64,1795,3392,0.9989999999999999991118215803,29,0.025000000000000001387778780781
920,920_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.469999999999999973354647408996,52,4169,4217,0.568264867841226539724175381707,1,0.050000000000000002775557561563
921,921_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.460000000000000019984014443253,42,1700,4853,0.644809199441345848313744681946,50,0.010000000000000000208166817117
922,922_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.599999999999999977795539507497,124,4166,1287,0.59819554637043037548238544332,26,0.25
923,923_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.579999999999999960031971113494,77,1799,2044,0.458150222837972354028579502483,1,0.005000000000000000104083408559
924,924_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.530000000000000026645352591004,95,4086,2842,0.001000000000000000020816681712,1,0.001000000000000000020816681712
925,925_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.609999999999999986677323704498,200,1781,632,0.365864186211943498427956455998,1,0.050000000000000002775557561563
926,926_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.599999999999999977795539507497,170,3839,1211,0.9989999999999999991118215803,12,0.25
927,927_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.589999999999999968913755310496,166,3818,1270,0.515276612128078626007265938824,1,0.025000000000000001387778780781
928,928_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.489999999999999991118215802999,55,1803,4023,0.001000000000000000020816681712,23,0.005000000000000000104083408559
929,929_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.609999999999999986677323704498,656,4771,205,0.001000000000000000020816681712,1,0.025000000000000001387778780781
930,930_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.530000000000000026645352591004,68,4708,3396,0.001000000000000000020816681712,50,0.010000000000000000208166817117
931,931_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.569999999999999951150186916493,91,1850,2349,0.180790466838424035422860924882,1,0.050000000000000002775557561563
932,932_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.530000000000000026645352591004,73,1800,2811,0.767928435819160370989777675277,1,0.010000000000000000208166817117
933,933_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.479999999999999982236431605997,52,4698,4560,0.9989999999999999991118215803,1,0.001000000000000000020816681712
934,934_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.489999999999999991118215802999,61,1799,3697,0.509903028356040954882644200552,1,0.005000000000000000104083408559
935,935_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.619999999999999995559107901499,226,4486,720,0.9989999999999999991118215803,30,0.010000000000000000208166817117
936,936_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.619999999999999995559107901499,179,4659,695,0.9989999999999999991118215803,31,0.100000000000000005551115123126
937,937_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.619999999999999995559107901499,193,4742,689,0.001000000000000000020816681712,11,0.005000000000000000104083408559
938,938_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.609999999999999986677323704498,222,4739,806,0.9989999999999999991118215803,1,0.050000000000000002775557561563
939,939_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.540000000000000035527136788005,60,4895,3115,0.475434545689364329579262857806,50,0.100000000000000005551115123126
940,940_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.510000000000000008881784197001,75,3123,2616,0.001000000000000000020816681712,1,0.25
941,941_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.450000000000000011102230246252,37,1115,4528,0.001000000000000000020816681712,1,0.025000000000000001387778780781
942,942_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.479999999999999982236431605997,56,1770,4503,0.001000000000000000020816681712,40,0.050000000000000002775557561563
943,943_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.579999999999999960031971113494,90,1573,1649,0.661250464437342921897311498469,50,0.100000000000000005551115123126
944,944_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.599999999999999977795539507497,165,4318,972,0.001000000000000000020816681712,24,0.005000000000000000104083408559
945,945_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.460000000000000019984014443253,59,1453,5000,0.435209130631593998916883947459,50,0.005000000000000000104083408559
946,946_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.540000000000000035527136788005,54,3717,3301,0.001000000000000000020816681712,50,0.025000000000000001387778780781
947,947_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.540000000000000035527136788005,78,1863,2717,0.001000000000000000020816681712,50,0.025000000000000001387778780781
948,948_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.609999999999999986677323704498,128,1173,785,0.9989999999999999991118215803,1,0.001000000000000000020816681712
949,949_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.489999999999999991118215802999,57,4075,4776,0.001000000000000000020816681712,22,0.010000000000000000208166817117
950,950_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.510000000000000008881784197001,63,1295,2804,0.001000000000000000020816681712,1,0.010000000000000000208166817117
951,951_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.419999999999999984456877655248,38,2711,3828,0.9989999999999999991118215803,24,0.001000000000000000020816681712
952,952_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.479999999999999982236431605997,72,4842,4539,0.9989999999999999991118215803,1,0.025000000000000001387778780781
953,953_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.579999999999999960031971113494,104,4346,2072,0.001000000000000000020816681712,1,0.025000000000000001387778780781
954,954_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.530000000000000026645352591004,60,3799,3204,0.001000000000000000020816681712,23,0.100000000000000005551115123126
955,955_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.489999999999999991118215802999,65,4982,4099,0.001000000000000000020816681712,1,0.025000000000000001387778780781
956,956_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.530000000000000026645352591004,83,3992,2773,0.9989999999999999991118215803,30,0.100000000000000005551115123126
957,957_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.479999999999999982236431605997,44,4757,4815,0.001000000000000000020816681712,50,0.050000000000000002775557561563
958,958_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.479999999999999982236431605997,58,4257,4913,0.704552268503417566947177874681,50,0.010000000000000000208166817117
959,959_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.569999999999999951150186916493,71,1804,2140,0.9989999999999999991118215803,36,0.005000000000000000104083408559
960,960_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.540000000000000035527136788005,63,3845,3198,0.001000000000000000020816681712,50,0.025000000000000001387778780781
961,961_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.510000000000000008881784197001,61,4788,3667,0.001000000000000000020816681712,23,0.100000000000000005551115123126
962,962_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.589999999999999968913755310496,101,1284,1126,0.9989999999999999991118215803,1,0.025000000000000001387778780781
963,963_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.589999999999999968913755310496,136,4398,1212,0.9989999999999999991118215803,50,0.100000000000000005551115123126
964,964_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.530000000000000026645352591004,56,1788,3221,0.9989999999999999991118215803,1,0.050000000000000002775557561563
965,965_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,76,4795,2699,0.578274558316738240826282435592,50,0.010000000000000000208166817117
966,966_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.469999999999999973354647408996,50,1741,3761,0.541985683316674293763526293333,50,0.010000000000000000208166817117
967,967_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.479999999999999982236431605997,45,1649,4745,0.001000000000000000020816681712,50,0.100000000000000005551115123126
968,968_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.589999999999999968913755310496,101,1713,1490,0.9989999999999999991118215803,50,0.050000000000000002775557561563
969,969_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.540000000000000035527136788005,94,4012,2755,0.001000000000000000020816681712,1,0.010000000000000000208166817117
970,970_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.609999999999999986677323704498,178,5000,923,0.9989999999999999991118215803,28,0.050000000000000002775557561563
971,971_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.400000000000000022204460492503,33,614,4077,0.499451969056397326873764086486,50,0.001000000000000000020816681712
972,972_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.479999999999999982236431605997,70,4052,4323,0.557387484391451804022210581024,50,0.100000000000000005551115123126
973,973_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.460000000000000019984014443253,52,1743,3802,0.580293274892709098899956643436,18,0.001000000000000000020816681712
974,974_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.540000000000000035527136788005,60,4063,3143,0.001000000000000000020816681712,1,0.050000000000000002775557561563
975,975_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.479999999999999982236431605997,47,1596,4963,0.001000000000000000020816681712,50,0.050000000000000002775557561563
976,976_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.489999999999999991118215802999,50,1729,4473,0.9989999999999999991118215803,50,0.100000000000000005551115123126
977,977_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.540000000000000035527136788005,52,5000,3479,0.767427884703277052302894389868,1,0.001000000000000000020816681712
978,978_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,79,1881,2319,0.9989999999999999991118215803,1,0.025000000000000001387778780781
979,979_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.609999999999999986677323704498,205,1111,532,0.9989999999999999991118215803,1,0.001000000000000000020816681712
980,980_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.460000000000000019984014443253,57,1852,4238,0.714304261352410208019136916846,1,0.010000000000000000208166817117
981,981_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.530000000000000026645352591004,65,1883,2807,0.9989999999999999991118215803,20,0.025000000000000001387778780781
982,982_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.469999999999999973354647408996,115,3933,4432,0.001000000000000000020816681712,19,0.005000000000000000104083408559
983,983_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.469999999999999973354647408996,50,4266,3931,0.537037090005745065823816730699,23,0.25
984,984_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.460000000000000019984014443253,45,1844,3957,0.9989999999999999991118215803,1,0.100000000000000005551115123126
985,985_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.460000000000000019984014443253,45,3677,3796,0.9989999999999999991118215803,50,0.001000000000000000020816681712
986,986_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.579999999999999960031971113494,97,1624,1548,0.001000000000000000020816681712,4,0.050000000000000002775557561563
987,987_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.450000000000000011102230246252,55,3465,5000,0.488488369911278974555557397252,1,0.100000000000000005551115123126
988,988_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.419999999999999984456877655248,37,818,3951,0.001000000000000000020816681712,49,0.050000000000000002775557561563
989,989_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.579999999999999960031971113494,82,1882,1863,0.001000000000000000020816681712,1,0.025000000000000001387778780781
990,990_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.469999999999999973354647408996,62,3961,3798,0.9989999999999999991118215803,1,0.010000000000000000208166817117
991,991_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.489999999999999991118215802999,60,4691,3787,0.001000000000000000020816681712,50,0.050000000000000002775557561563
992,992_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.579999999999999960031971113494,89,4578,1801,0.001000000000000000020816681712,50,0.025000000000000001387778780781
993,993_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.489999999999999991118215802999,52,1846,4593,0.779445835481064608352141931391,1,0.005000000000000000104083408559
994,994_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.550000000000000044408920985006,82,1803,2288,0.472098859628539924138124206365,50,0.25
995,995_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,80,1830,2198,0.001000000000000000020816681712,20,0.100000000000000005551115123126
996,996_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.489999999999999991118215802999,46,3696,4436,0.9989999999999999991118215803,50,0.050000000000000002775557561563
997,997_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.479999999999999982236431605997,50,1633,4786,0.9989999999999999991118215803,50,0.050000000000000002775557561563
998,998_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.489999999999999991118215802999,45,4085,5000,0.9989999999999999991118215803,29,0.050000000000000002775557561563
999,999_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.520000000000000017763568394003,53,1737,3398,0.001000000000000000020816681712,50,0.050000000000000002775557561563
1000,1000_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.5,53,4895,3718,0.001000000000000000020816681712,1,0.100000000000000005551115123126
1001,1001_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.469999999999999973354647408996,63,5000,3900,0.9989999999999999991118215803,1,0.25
1002,1002_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.469999999999999973354647408996,45,3920,4571,0.9989999999999999991118215803,26,0.050000000000000002775557561563
1003,1003_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.540000000000000035527136788005,73,1759,3308,0.9989999999999999991118215803,50,0.050000000000000002775557561563
1004,1004_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.579999999999999960031971113494,96,1836,1746,0.001000000000000000020816681712,9,0.001000000000000000020816681712
1005,1005_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.450000000000000011102230246252,57,933,3598,0.9989999999999999991118215803,1,0.025000000000000001387778780781
1006,1006_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.530000000000000026645352591004,63,1728,2801,0.341032774983084485675988162257,1,0.025000000000000001387778780781
1007,1007_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.589999999999999968913755310496,102,1880,1497,0.456212472738670771210678367424,1,0.001000000000000000020816681712
1008,1008_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.609999999999999986677323704498,154,1708,962,0.289727868282613598704955393259,50,0.010000000000000000208166817117
1009,1009_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,97,4643,2354,0.426320795312254363640391829904,28,0.001000000000000000020816681712
1010,1010_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.589999999999999968913755310496,104,1811,1664,0.001000000000000000020816681712,1,0.025000000000000001387778780781
1011,1011_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,69,4398,2441,0.9989999999999999991118215803,22,0.001000000000000000020816681712
1012,1012_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4796,1,0.9989999999999999991118215803,50,0.025000000000000001387778780781
1013,1013_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.609999999999999986677323704498,193,4696,706,0.9989999999999999991118215803,33,0.025000000000000001387778780781
1014,1014_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.489999999999999991118215802999,50,3653,4719,0.001000000000000000020816681712,50,0.050000000000000002775557561563
1015,1015_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.469999999999999973354647408996,75,4942,4218,0.001000000000000000020816681712,23,0.025000000000000001387778780781
1016,1016_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.609999999999999986677323704498,116,1266,806,0.9989999999999999991118215803,1,0.005000000000000000104083408559
1017,1017_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.540000000000000035527136788005,96,4097,2949,0.9989999999999999991118215803,16,0.005000000000000000104083408559
1018,1018_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.530000000000000026645352591004,66,3458,2258,0.711644893395583566508832973341,20,0.050000000000000002775557561563
1019,1019_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.579999999999999960031971113494,81,1619,1856,0.9989999999999999991118215803,31,0.005000000000000000104083408559
1020,1020_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.489999999999999991118215802999,53,1783,4011,0.9989999999999999991118215803,50,0.25
1021,1021_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.599999999999999977795539507497,113,3411,976,0.466702056629812289667569302765,1,0.010000000000000000208166817117
1022,1022_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.530000000000000026645352591004,70,1773,3061,0.9989999999999999991118215803,50,0.001000000000000000020816681712
1023,1023_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.609999999999999986677323704498,144,4043,1175,0.9989999999999999991118215803,28,0.025000000000000001387778780781
1024,1024_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.540000000000000035527136788005,61,4130,3462,0.9989999999999999991118215803,6,0.005000000000000000104083408559
1025,1025_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.479999999999999982236431605997,39,1616,4676,0.9989999999999999991118215803,24,0.100000000000000005551115123126
1026,1026_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.609999999999999986677323704498,127,3481,848,0.9989999999999999991118215803,1,0.005000000000000000104083408559
1027,1027_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.540000000000000035527136788005,62,3949,3216,0.001000000000000000020816681712,20,0.025000000000000001387778780781
1028,1028_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.479999999999999982236431605997,67,4206,4941,0.9989999999999999991118215803,1,0.010000000000000000208166817117
1029,1029_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.569999999999999951150186916493,69,4218,2192,0.001000000000000000020816681712,1,0.025000000000000001387778780781
1030,1030_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.540000000000000035527136788005,50,1738,3275,0.001000000000000000020816681712,32,0.25
1031,1031_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.569999999999999951150186916493,87,1028,1345,0.260453217544111936820883101973,50,0.25
1032,1032_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.599999999999999977795539507497,114,1889,1334,0.264854246516290914303937142904,50,0.010000000000000000208166817117
1033,1033_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.609999999999999986677323704498,381,1166,199,0.9989999999999999991118215803,50,0.010000000000000000208166817117
1034,1034_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.609999999999999986677323704498,159,1662,624,0.9989999999999999991118215803,27,0.050000000000000002775557561563
1035,1035_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.530000000000000026645352591004,62,1818,3064,0.464893940753763557083289015281,1,0.010000000000000000208166817117
1036,1036_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.579999999999999960031971113494,94,4322,2165,0.9989999999999999991118215803,29,0.025000000000000001387778780781
1037,1037_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.460000000000000019984014443253,57,1681,4183,0.510523082873482580978929945559,50,0.010000000000000000208166817117
1038,1038_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.479999999999999982236431605997,61,3831,4143,0.514100220552603071055841610359,22,0.25
1039,1039_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.540000000000000035527136788005,94,3958,3048,0.9989999999999999991118215803,1,0.025000000000000001387778780781
1040,1040_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.609999999999999986677323704498,224,2683,249,0.679052774147129722948079688649,50,0.005000000000000000104083408559
1041,1041_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.489999999999999991118215802999,64,405,1304,0.034841147825029124274198721878,1,0.050000000000000002775557561563
1042,1042_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.609999999999999986677323704498,103,3375,865,0.520968817493783098449000590335,1,0.050000000000000002775557561563
1043,1043_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.489999999999999991118215802999,46,1781,4687,0.528414158707825820648906756105,1,0.025000000000000001387778780781
1044,1044_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.469999999999999973354647408996,43,1706,4602,0.504277091580284442251524978929,50,0.050000000000000002775557561563
1045,1045_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.560000000000000053290705182008,86,5000,2351,0.001000000000000000020816681712,1,0.025000000000000001387778780781
1046,1046_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.589999999999999968913755310496,123,1788,1118,0.9989999999999999991118215803,50,0.005000000000000000104083408559
1047,1047_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.479999999999999982236431605997,51,1724,4466,0.562369390503925647983862745605,33,0.005000000000000000104083408559
1048,1048_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.5,106,1717,3539,0.001000000000000000020816681712,34,0.001000000000000000020816681712
1049,1049_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.609999999999999986677323704498,182,3927,996,0.367589279616386654936377453851,1,0.050000000000000002775557561563
1050,1050_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,3510,4321,0.9989999999999999991118215803,50,0.025000000000000001387778780781</pre>
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createTable(tab_results_csv_json, tab_results_headers_json, 'tab_results_csv_table');</script>
<h1><img class='invert_icon' src='i/terminal.svg' style='height: 1em' /> Errors</h1>
<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>
<pre id='simple_pre_tab_tab_errors'><span style="background-color: black; color: white;">
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_RialtoBridgeTimelapse_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4904360/4904360_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_RialtoBridgeTimelapse_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4904472/4904472_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_RialtoBridgeTimelapse_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4904953/4904953_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_RialtoBridgeTimelapse_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4905143/4905143_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_RialtoBridgeTimelapse_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4905237/4905237_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_RialtoBridgeTimelapse_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4905940/4905940_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_RialtoBridgeTimelapse_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4906139/4906139_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_RialtoBridgeTimelapse_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4906339/4906339_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_RialtoBridgeTimelapse_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4909460/4909460_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_RialtoBridgeTimelapse_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4909788/4909788_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_RialtoBridgeTimelapse_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4912420/4912420_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_RialtoBridgeTimelapse_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4916526/4916526_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_RialtoBridgeTimelapse_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4919555/4919555_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_RialtoBridgeTimelapse_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4921530/4921530_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_RialtoBridgeTimelapse_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4923124/4923124_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_RialtoBridgeTimelapse_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4925153/4925153_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_RialtoBridgeTimelapse_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4927022/4927022_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_RialtoBridgeTimelapse_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4936286/4936286_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_RialtoBridgeTimelapse_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4936684/4936684_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_RialtoBridgeTimelapse_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4937382/4937382_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_RialtoBridgeTimelapse_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4939626/4939626_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_RialtoBridgeTimelapse_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4941622/4941622_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_RialtoBridgeTimelapse_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4945932/4945932_0_log.err not found
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CSDDM_RialtoBridgeTimelapse_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4995000/4995000_0_log.err not found
</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_RialtoBridgeTimelapse_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>20 </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">1746192598.5694206,20,0,0
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1746721815.725651,20,2,10
1746721816.7320814,20,2,10
1746721831.7604473,20,1,5
1746721831.9585156,20,1,5
1746726107.0492213,20,1,5
1746726107.3891482,20,1,5
1746726109.0639493,20,2,10
1746726109.5433438,20,2,10
1746726123.7741802,20,1,5
1746726123.9526157,20,1,5
1746730236.2710445,20,1,5
1746730236.6791532,20,1,5
1746730238.1501274,20,2,10
1746730239.0512764,20,2,10
1746730255.0306587,20,1,5
1746730255.2201662,20,1,5
1746734264.656802,20,1,5
1746734265.182432,20,1,5
1746734267.090022,20,2,10
1746734268.0811005,20,2,10
1746734283.3766677,20,1,5
1746734283.466026,20,1,5
1746737538.6662815,20,1,5
1746737539.1071715,20,1,5
1746737540.6232626,20,2,10
1746737541.5119467,20,2,10
1746737557.5320277,20,1,5
1746737557.8829966,20,1,5
1746740335.1895804,20,1,5
1746740335.5399284,20,1,5
1746740337.065716,20,2,10
1746740337.7386,20,2,10
1746740351.3612938,20,1,5
1746740351.8362968,20,1,5
1746744608.8325632,20,1,5
1746744609.164792,20,1,5
1746744610.9606006,20,2,10
1746744611.5124333,20,2,10
1746744625.8533483,20,1,5
1746744626.069885,20,1,5
1746748695.7982419,20,1,5
1746748696.334474,20,1,5
1746748698.2977571,20,2,10
1746748699.2892163,20,2,10
1746748715.553741,20,1,5
1746748715.871097,20,1,5
1746753070.9687235,20,1,5
1746753071.523817,20,1,5
1746753073.2672822,20,2,10
1746753074.3913183,20,2,10
1746753091.1354854,20,1,5
1746753091.3380625,20,1,5
1746755809.2902815,20,1,5
1746755809.8250604,20,1,5
1746755811.4022553,20,2,10
1746755812.386998,20,2,10
1746755827.89316,20,1,5
1746755828.025587,20,1,5
1746758604.917194,20,1,5
1746758605.2274535,20,1,5
1746758606.8660045,20,2,10
1746758607.3742692,20,2,10
1746758621.0378568,20,1,5
1746758621.2057862,20,1,5
1746761433.5440905,20,1,5
1746761433.9680505,20,1,5
1746761435.3927224,20,2,10
1746761435.9167278,20,2,10
1746761450.1138978,20,1,5
1746761450.2863624,20,1,5
1746764316.6728003,20,1,5
1746764317.1804247,20,1,5
1746764318.815398,20,2,10
1746764319.7091143,20,2,10
1746764335.7990367,20,1,5
1746764336.1011145,20,1,5
</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
1746192598,645.9609375,32.8
1746192598,645.9609375,33.1
1746192598,646.02734375,32.1
1746192598,646.02734375,36.1
1746192598,646.02734375,32.4
1746192598,646.02734375,32.8
1746192598,646.02734375,35.9
1746202970,814.671875,32.2
1746202970,814.671875,29.4
1746202970,814.671875,27.5
1746202970,814.671875,31.4
1746212460,839.984375,24.3
1746212460,839.984375,18.6
1746212460,839.984375,17.7
1746212460,839.984375,12.1
1746219441,798.5703125,13.6
1746219441,798.5703125,8.9
1746219441,798.5703125,8.9
1746219441,798.5703125,8.8
1746230583,828.97265625,8.1
1746230583,828.97265625,7.4
1746230583,828.97265625,7.3
1746230583,828.97265625,10.9
1746239616,851.41015625,8.5
1746239616,851.41015625,8.2
1746239617,851.41015625,7.9
1746239617,851.41015625,6.2
1746251400,874.14453125,8.3
1746251400,874.14453125,8.7
1746251400,874.14453125,9.0
1746251400,874.14453125,8.9
1746269244,868.3203125,10.1
1746269244,868.3203125,9.2
1746269244,868.3203125,9.3
1746269244,868.3203125,13.2
1746291233,923.89453125,9.9
1746291233,923.89453125,8.4
1746291233,923.89453125,8.5
1746291233,923.89453125,4.9
1746315438,890.3359375,8.4
1746315438,890.3359375,6.7
1746315438,890.3359375,6.9
1746315438,890.3359375,7.9
1746345777,945.58203125,8.2
1746345777,945.58203125,7.7
1746345777,945.58203125,7.6
1746345777,945.58203125,5.6
1746380660,926.9140625,14.6
1746380660,926.9140625,18.4
1746380661,926.9140625,18.7
1746380661,926.9140625,14.0
1746414841,948.7109375,14.3
1746414841,948.7109375,8.5
1746414841,948.7109375,7.9
1746414841,948.7109375,6.4
1746454199,1109.96484375,12.1
1746454199,1109.96484375,6.4
1746454199,1109.96484375,6.7
1746454199,1109.96484375,5.1
1746500619,1013.875,8.5
1746500619,1013.875,8.5
1746500619,1013.875,8.5
1746500619,1013.875,7.7
1746554440,987.48046875,8.4
1746554440,987.48046875,7.0
1746554440,987.48046875,6.9
1746554440,987.48046875,9.3
1746616436,1021.828125,8.7
1746616436,1021.828125,8.9
1746616436,1021.828125,9.1
1746616437,1021.828125,8.5
1746690428,1043.81640625,12.3
1746690428,1043.81640625,13.7
1746690428,1043.81640625,13.4
1746690428,1043.81640625,16.7
1746764346,1052.44921875,9.3
1746764346,1052.44921875,6.6
1746764346,1052.44921875,6.5
1746764346,1052.44921875,6.1
</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>0.62</b><br />
Achieved at:<br />
- <code>RUNTIME</code> = 299<br />
- <code>recent_samples_size</code> = 1220<br />
- <code>n_samples</code> = 378<br />
- <code>feature_proportion</code> = 0.28393909344263<br />
- <code>n_clusters</code> = 24<br />
- <code>confidence</code> = 0.001</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>20</b><br />
Achieved at:<br />
- <code>ACCURACY</code> = 0.32<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> = 0.01</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>0.3</td><td>0.62</td><td>0.5348</td><td>0.0652</td><td>527</td></tr><tr><td>RUNTIME</td><td>20</td><td>1938</td><td>106.8197</td><td>145.5595</td><td>527</td></tr><tr><td>recent_samples_size</td><td>1</td><td>5000</td><td>2504.7802</td><td>1303.4415</td><td>1051</td></tr><tr><td>n_samples</td><td>1</td><td>5000</td><td>1313.9477</td><td>1660.7207</td><td>1051</td></tr><tr><td>feature_proportion</td><td>0.001</td><td>0.999</td><td>0.5004</td><td>0.3904</td><td>1051</td></tr><tr><td>n_clusters</td><td>1</td><td>50</td><td>34.3806</td><td>19.7426</td><td>1051</td></tr><tr><td>confidence</td><td>0.001</td><td>0.25</td><td>0.0498</td><td>0.0712</td><td>1051</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