Experiment overview:

Experiment parameters:

Number of evaluations

Result names and types

Git-Version

Copy raw data to clipboard

Download »results.csv« as file

trial_index,arm_name,trial_status,generation_method,generation_node,ACCURACY,RUNTIME,recent_samples_size,batch_size,divergence,detect_batch,statistic,significance,subsets,feature_id
0,0_0,COMPLETED,Sobol,GenerationStep_0,0.140000000000000013322676295502,150.000000000000000000000000000000,1404,4168,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.235982951253652567524810024224,7,10
1,1_0,COMPLETED,Sobol,GenerationStep_0,0.140000000000000013322676295502,166.000000000000000000000000000000,4578,1666,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.624174593664705734674669201922,69,10
2,2_0,COMPLETED,Sobol,GenerationStep_0,0.130000000000000004440892098501,143.000000000000000000000000000000,2832,2616,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.916222521752119045679307873797,32,10
3,3_0,COMPLETED,Sobol,GenerationStep_0,0.140000000000000013322676295502,153.000000000000000000000000000000,1201,118,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.286937206793576482510843561613,94,10
4,4_0,COMPLETED,Sobol,GenerationStep_0,0.130000000000000004440892098501,146.000000000000000000000000000000,414,3572,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.044863894633948804557821432581,44,10
5,5_0,COMPLETED,Sobol,GenerationStep_0,0.140000000000000013322676295502,244.000000000000000000000000000000,3608,1071,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.659301901426166292452535344637,82,10
6,6_0,COMPLETED,Sobol,GenerationStep_0,0.130000000000000004440892098501,145.000000000000000000000000000000,3790,4501,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.865522406581789249813141395862,19,10
7,7_0,COMPLETED,Sobol,GenerationStep_0,0.119999999999999995559107901499,133.000000000000000000000000000000,2178,2002,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.493640493884682673986219469953,57,10
8,8_0,COMPLETED,Sobol,GenerationStep_0,0.130000000000000004440892098501,161.000000000000000000000000000000,2223,3092,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.320973186390474451989973658783,45,10
9,9_0,COMPLETED,Sobol,GenerationStep_0,0.130000000000000004440892098501,152.000000000000000000000000000000,4303,593,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.942705598426982760429382324219,81,10
10,10_0,COMPLETED,Sobol,GenerationStep_0,0.130000000000000004440892098501,151.000000000000000000000000000000,3260,4042,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.517805910175666239680936087098,20,10
11,11_0,COMPLETED,Sobol,GenerationStep_0,0.130000000000000004440892098501,144.000000000000000000000000000000,223,1541,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.153248866701498620557231333805,56,10
12,12_0,COMPLETED,Sobol,GenerationStep_0,0.130000000000000004440892098501,143.000000000000000000000000000000,689,4957,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.395063041714951379557163591016,6,10
13,13_0,COMPLETED,Sobol,GenerationStep_0,0.140000000000000013322676295502,132.000000000000000000000000000000,2788,2458,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.774985667647793863288541160728,70,10
14,14_0,COMPLETED,Sobol,GenerationStep_0,0.140000000000000013322676295502,132.000000000000000000000000000000,4767,3388,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.701129112342372518007493908954,31,10
15,15_0,COMPLETED,Sobol,GenerationStep_0,0.140000000000000013322676295502,243.000000000000000000000000000000,1750,887,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.063544318785890938072746791931,95,10
16,16_0,COMPLETED,Sobol,GenerationStep_0,0.140000000000000013322676295502,148.000000000000000000000000000000,1577,3204,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.795426749154925394336146382557,63,10
17,17_0,COMPLETED,Sobol,GenerationStep_0,0.140000000000000013322676295502,155.000000000000000000000000000000,4947,702,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.407829078111797582728570432664,13,10
18,18_0,COMPLETED,Sobol,GenerationStep_0,0.130000000000000004440892098501,130.000000000000000000000000000000,2649,4752,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.115111990924924606494172962812,88,10
19,19_0,COMPLETED,Sobol,GenerationStep_0,0.130000000000000004440892098501,144.000000000000000000000000000000,822,2253,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.745021731935441522409746539779,38,10
20,20_0,COMPLETED,Sobol,GenerationStep_0,0.119999999999999995559107901499,158.000000000000000000000000000000,45,3760,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.986348858792334803879953142314,88,10
21,21_0,COMPLETED,Sobol,GenerationStep_0,0.140000000000000013322676295502,178.000000000000000000000000000000,3434,1259,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.372778796553611735387079306747,38,10
22,22_0,COMPLETED,Sobol,GenerationStep_0,0.130000000000000004440892098501,140.000000000000000000000000000000,4168,2829,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.165765536434948457245042163777,63,10
23,23_0,COMPLETED,Sobol,GenerationStep_0,0.140000000000000013322676295502,142.000000000000000000000000000000,2362,330,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.538484937142580721847195945884,13,10
24,24_0,COMPLETED,Sobol,GenerationStep_0,0.130000000000000004440892098501,151.000000000000000000000000000000,2006,4549,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.646474922200664825489013765036,76,10
25,25_0,COMPLETED,Sobol,GenerationStep_0,0.140000000000000013322676295502,154.000000000000000000000000000000,3968,2050,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.024605522641912104531147775788,50,10
26,26_0,COMPLETED,Sobol,GenerationStep_0,0.130000000000000004440892098501,145.000000000000000000000000000000,3467,3601,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.449565105291083455529843604381,51,10
27,27_0,COMPLETED,Sobol,GenerationStep_0,0.140000000000000013322676295502,155.000000000000000000000000000000,548,1099,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.814015617785975309494972407265,25,10
28,28_0,COMPLETED,Sobol,GenerationStep_0,0.149999999999999994448884876874,173.000000000000000000000000000000,1023,2723,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.572429866844788248769759775314,75,10
29,29_0,COMPLETED,Sobol,GenerationStep_0,0.149999999999999994448884876874,177.000000000000000000000000000000,3005,224,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.192156923746690161403094521120,1,10
30,30_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,157.000000000000000000000000000000,521,520,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.194432190593023773717007429696,46,10
31,31_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,154.000000000000000000000000000000,1128,3244,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.592942334667803883085923644103,16,10
32,32_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,212.000000000000000000000000000000,3827,351,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.197116390324908463682618275925,65,10
33,33_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,155.000000000000000000000000000000,1261,1205,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.731627690931390906037279364682,44,10
34,34_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,168.000000000000000000000000000000,2056,2894,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.585615050055522390337614524469,37,10
35,35_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,155.000000000000000000000000000000,91,2034,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.194921742297411992872468999849,52,10
36,36_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,199.000000000000000000000000000000,2896,1231,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.161700439734271200764581521980,75,10
37,37_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,163.000000000000000000000000000000,4866,2716,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.570436081545377393631213180925,7,10
38,38_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,226.000000000000000000000000000000,1939,2532,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.580663042113623184548032440944,1,10
39,39_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,141.000000000000000000000000000000,197,1482,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.664447180975545337311416460579,14,10
40,40_0,COMPLETED,BoTorch,GenerationStep_1,0.130000000000000004440892098501,190.000000000000000000000000000000,265,859,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.168419260614207033643907607257,70,10
41,41_0,COMPLETED,BoTorch,GenerationStep_1,0.130000000000000004440892098501,168.000000000000000000000000000000,1878,3634,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.590967472764841628141141427477,88,10
42,42_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,504.000000000000000000000000000000,3276,48,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.286835663452599698430844910035,62,10
43,43_0,COMPLETED,BoTorch,GenerationStep_1,0.130000000000000004440892098501,137.000000000000000000000000000000,3447,1807,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.800233173814109521870818753086,46,10
44,44_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,263.000000000000000000000000000000,5000,1143,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.150939009979358801372129050833,100,10
45,45_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,330.000000000000000000000000000000,1511,586,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.155035399922507782788372310279,82,10
46,46_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,542.000000000000000000000000000000,4385,92,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.306466366676051593653795634964,73,10
47,47_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,188.000000000000000000000000000000,2554,98,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.151581626463677815452868458124,43,10
48,48_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,144.000000000000000000000000000000,4327,1235,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.197188602583292543757309545072,44,10
49,49_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,184.000000000000000000000000000000,47,912,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.168638677526406405293712964522,55,10
50,50_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,142.000000000000000000000000000000,3286,1481,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.546291373864108309454934442329,24,10
51,51_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,312.000000000000000000000000000000,3394,77,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.108558739065071810370177729510,55,10
52,52_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,140.000000000000000000000000000000,1090,2380,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.792366571805045216692064968811,28,10
53,53_0,COMPLETED,BoTorch,GenerationStep_1,0.130000000000000004440892098501,138.000000000000000000000000000000,140,2503,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.461554210259903840984918588219,99,10
54,54_0,COMPLETED,BoTorch,GenerationStep_1,0.130000000000000004440892098501,133.000000000000000000000000000000,404,2113,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.549645108422963213357093081868,15,10
55,55_0,COMPLETED,BoTorch,GenerationStep_1,0.130000000000000004440892098501,144.000000000000000000000000000000,2359,1155,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.252084181528849149422910613794,5,10
56,56_0,COMPLETED,BoTorch,GenerationStep_1,0.130000000000000004440892098501,172.000000000000000000000000000000,3505,2520,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.126328792448524074298887853729,100,10
57,57_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,155.000000000000000000000000000000,3029,971,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.247238398404949571984801082181,53,10
58,58_0,FAILED,BoTorch,GenerationStep_1,,,916,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.122200394985006177694941698064,100,10
59,59_0,COMPLETED,BoTorch,GenerationStep_1,0.130000000000000004440892098501,167.000000000000000000000000000000,2000,3508,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.642227342519929855768623383483,52,10
60,60_0,COMPLETED,BoTorch,GenerationStep_1,0.130000000000000004440892098501,151.000000000000000000000000000000,1379,2126,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.376066347446755655514749605572,77,10
61,61_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,143.000000000000000000000000000000,1386,1871,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.757204264813996941185791911266,24,10
62,62_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,233.000000000000000000000000000000,1741,1882,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.518427212304175655255278343247,1,10
63,63_0,COMPLETED,BoTorch,GenerationStep_1,0.130000000000000004440892098501,132.000000000000000000000000000000,1102,3630,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.839279504462338565851098337589,28,10
64,64_0,COMPLETED,BoTorch,GenerationStep_1,0.130000000000000004440892098501,154.000000000000000000000000000000,1708,4255,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.647005043125457590669213914225,33,10
65,65_0,COMPLETED,BoTorch,GenerationStep_1,0.130000000000000004440892098501,133.000000000000000000000000000000,1956,4786,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.616363966638263316433210547984,30,10
66,66_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,233.000000000000000000000000000000,1661,4572,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.589309416470750302430303690926,2,10
67,67_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,124.000000000000000000000000000000,1449,2877,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.906651931078738315683551718394,22,10
68,68_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,155.000000000000000000000000000000,1993,2549,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.496502737507791835902537513903,47,10
69,69_0,COMPLETED,BoTorch,GenerationStep_1,0.130000000000000004440892098501,163.000000000000000000000000000000,1169,1907,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.083271891202996967118465931890,80,10
70,70_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,240.000000000000000000000000000000,1750,1528,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.218336715406937220684824296768,1,10
71,71_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,132.000000000000000000000000000000,1619,559,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,61,10
72,72_0,COMPLETED,BoTorch,GenerationStep_1,0.130000000000000004440892098501,141.000000000000000000000000000000,1589,3875,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.990160986320220648515544326074,35,10
73,73_0,COMPLETED,BoTorch,GenerationStep_1,0.130000000000000004440892098501,142.000000000000000000000000000000,1618,4837,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.216030770396330590310540742394,41,10
74,74_0,COMPLETED,BoTorch,GenerationStep_1,0.130000000000000004440892098501,173.000000000000000000000000000000,1736,1924,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.522057611413733302363482380315,28,10
75,75_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,211.000000000000000000000000000000,1859,3719,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.557164991228547012980243380298,4,10
76,76_0,COMPLETED,BoTorch,GenerationStep_1,0.119999999999999995559107901499,131.000000000000000000000000000000,1097,2248,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,72,10
77,77_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,182.000000000000000000000000000000,1327,3184,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.360640453205340605347117843849,81,10
78,78_0,COMPLETED,BoTorch,GenerationStep_1,0.130000000000000004440892098501,131.000000000000000000000000000000,1360,4485,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.654262516724891995956170376303,32,10
79,79_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,145.000000000000000000000000000000,2031,1371,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.187625377067028309419072229502,10,10
80,80_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,158.000000000000000000000000000000,1179,4319,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,36,10
81,81_0,COMPLETED,BoTorch,GenerationStep_1,0.130000000000000004440892098501,129.000000000000000000000000000000,2307,4458,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,44,10
82,82_0,COMPLETED,BoTorch,GenerationStep_1,0.130000000000000004440892098501,140.000000000000000000000000000000,1394,3565,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,21,10
83,83_0,COMPLETED,BoTorch,GenerationStep_1,0.130000000000000004440892098501,121.000000000000000000000000000000,1764,3205,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,29,10
84,84_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,168.000000000000000000000000000000,1772,1237,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.972131766765542248975862094085,8,10
85,85_0,COMPLETED,BoTorch,GenerationStep_1,0.130000000000000004440892098501,161.000000000000000000000000000000,1170,2123,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.911933927504021246690513180511,83,10
86,86_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,217.000000000000000000000000000000,1207,1982,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,78,10
87,87_0,COMPLETED,BoTorch,GenerationStep_1,0.130000000000000004440892098501,139.000000000000000000000000000000,1617,2075,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.371184368012331011854598727950,28,10
88,88_0,COMPLETED,BoTorch,GenerationStep_1,0.130000000000000004440892098501,135.000000000000000000000000000000,1171,1770,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,18,10
89,89_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,243.000000000000000000000000000000,1928,3028,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,10
90,90_0,COMPLETED,BoTorch,GenerationStep_1,0.130000000000000004440892098501,138.000000000000000000000000000000,4618,2306,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,85,10
91,91_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,146.000000000000000000000000000000,767,2228,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.680077656839030653124211767135,25,10
92,92_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,175.000000000000000000000000000000,3176,588,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.158869131885069514442676563704,1,10
93,93_0,COMPLETED,BoTorch,GenerationStep_1,0.130000000000000004440892098501,143.000000000000000000000000000000,315,2557,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.699178488839032663548778145923,32,10
94,94_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,153.000000000000000000000000000000,4486,1613,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,51,10
95,95_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,224.000000000000000000000000000000,2172,4028,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.745477411381064491990855458425,1,10
96,96_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,144.000000000000000000000000000000,1186,281,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.531923584812488914330685929599,100,10
97,97_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,148.000000000000000000000000000000,1840,2648,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.702083632566319448820024717861,32,10
98,98_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,170.000000000000000000000000000000,901,2989,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.695776070694220649670569400769,73,10
99,99_0,COMPLETED,BoTorch,GenerationStep_1,0.160000000000000003330669073875,163.000000000000000000000000000000,5000,1423,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,24,10
100,100_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,212.000000000000000000000000000000,2551,456,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,55,10
101,101_0,COMPLETED,BoTorch,GenerationStep_1,0.130000000000000004440892098501,169.000000000000000000000000000000,415,3505,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.582512252252111006889379041240,73,10
102,102_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,130.000000000000000000000000000000,2162,268,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100,10
103,103_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,157.000000000000000000000000000000,4940,1552,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,45,10
104,104_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,221.000000000000000000000000000000,4253,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.047176217724414042098413091253,100,10
105,105_0,COMPLETED,BoTorch,GenerationStep_1,0.130000000000000004440892098501,132.000000000000000000000000000000,854,2068,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.971410505780756272642406656814,16,10
106,106_0,COMPLETED,BoTorch,GenerationStep_1,0.130000000000000004440892098501,142.000000000000000000000000000000,534,4219,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.644303043447200907145600012882,8,10
107,107_0,COMPLETED,BoTorch,GenerationStep_1,0.130000000000000004440892098501,135.000000000000000000000000000000,4222,2128,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.925564971806573377755000819889,18,10
108,108_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,144.000000000000000000000000000000,2362,3325,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.626404341729952629513888950896,35,10
109,109_0,COMPLETED,BoTorch,GenerationStep_1,0.130000000000000004440892098501,143.000000000000000000000000000000,2177,5000,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.570280740536540764473727449513,13,10
110,110_0,COMPLETED,BoTorch,GenerationStep_1,0.130000000000000004440892098501,141.000000000000000000000000000000,448,2168,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,93,10
111,111_0,COMPLETED,BoTorch,GenerationStep_1,0.130000000000000004440892098501,145.000000000000000000000000000000,4501,1522,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,50,10
112,112_0,COMPLETED,BoTorch,GenerationStep_1,0.130000000000000004440892098501,134.000000000000000000000000000000,3798,2116,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100,10
113,113_0,COMPLETED,BoTorch,GenerationStep_1,0.130000000000000004440892098501,138.000000000000000000000000000000,2156,2345,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,82,10
114,114_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,169.000000000000000000000000000000,2886,4196,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.663370875039177909648913100682,6,10
115,115_0,COMPLETED,BoTorch,GenerationStep_1,0.130000000000000004440892098501,138.000000000000000000000000000000,3649,2243,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.469070692759360086121489530342,16,10
116,116_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,175.000000000000000000000000000000,2813,828,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.052251587538231787644082970701,1,10
117,117_0,COMPLETED,BoTorch,GenerationStep_1,0.130000000000000004440892098501,144.000000000000000000000000000000,580,2636,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.567380141038240637385570153128,22,10
118,118_0,COMPLETED,BoTorch,GenerationStep_1,0.130000000000000004440892098501,136.000000000000000000000000000000,5000,1255,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,54,10
119,119_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,170.000000000000000000000000000000,1537,504,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.055599481283506564655017001542,3,10
120,120_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,150.000000000000000000000000000000,2556,2975,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,22,10
121,121_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,150.000000000000000000000000000000,2206,696,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.696824304161452356964900900493,34,10
122,122_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,158.000000000000000000000000000000,4790,2035,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,19,10
123,123_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,179.000000000000000000000000000000,3364,494,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,25,10
124,124_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,170.000000000000000000000000000000,2951,805,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,30,10
125,125_0,COMPLETED,BoTorch,GenerationStep_1,0.130000000000000004440892098501,146.000000000000000000000000000000,2744,2776,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,18,10
126,126_0,COMPLETED,BoTorch,GenerationStep_1,0.130000000000000004440892098501,153.000000000000000000000000000000,933,4290,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,18,10
127,127_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,146.000000000000000000000000000000,5000,3390,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,25,10
128,128_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,161.000000000000000000000000000000,1609,758,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.672259586339484349615247538168,41,10
129,129_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,174.000000000000000000000000000000,3406,1035,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,17,10
130,130_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,146.000000000000000000000000000000,769,370,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.703260269870801146829819572304,44,10
131,131_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,162.000000000000000000000000000000,3844,1183,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,16,10
132,132_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,147.000000000000000000000000000000,4011,480,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.707300802474213896609001039906,30,10
133,133_0,COMPLETED,BoTorch,GenerationStep_1,0.130000000000000004440892098501,153.000000000000000000000000000000,1354,4828,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.812975195706860720434860922978,74,10
134,134_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,154.000000000000000000000000000000,4938,2830,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,24,10
135,135_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,164.000000000000000000000000000000,2073,50,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,18,10
136,136_0,COMPLETED,BoTorch,GenerationStep_1,0.130000000000000004440892098501,142.000000000000000000000000000000,3719,4608,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.649882011083062871570348306705,43,10
137,137_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,172.000000000000000000000000000000,3868,55,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.086862693621964665036117025920,24,10
138,138_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,152.000000000000000000000000000000,3934,2386,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,29,10
139,139_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,156.000000000000000000000000000000,4544,548,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,27,10
140,140_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,167.000000000000000000000000000000,3531,912,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,22,10
141,141_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,157.000000000000000000000000000000,4945,1958,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,18,10
142,142_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,157.000000000000000000000000000000,161,461,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,19,10
143,143_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,175.000000000000000000000000000000,4730,253,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,22,10
144,144_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,143.000000000000000000000000000000,2581,3861,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.652864835592327441560200895765,51,10
145,145_0,COMPLETED,BoTorch,GenerationStep_1,0.130000000000000004440892098501,148.000000000000000000000000000000,1063,4916,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.912379583937950933147931209533,66,10
146,146_0,COMPLETED,BoTorch,GenerationStep_1,0.130000000000000004440892098501,152.000000000000000000000000000000,3090,4011,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,54,10
147,147_0,FAILED,BoTorch,GenerationStep_1,,,3977,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.034551858583615660536203506581,13,10
148,148_0,COMPLETED,BoTorch,GenerationStep_1,0.130000000000000004440892098501,139.000000000000000000000000000000,4903,3783,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.989928456411888757493500179407,67,10
149,149_0,COMPLETED,BoTorch,GenerationStep_1,0.130000000000000004440892098501,154.000000000000000000000000000000,4931,4255,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.662975362158167658144236611406,53,10
150,150_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,221.000000000000000000000000000000,1616,438,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.537977975513307948851604578522,1,10
151,151_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,228.000000000000000000000000000000,2654,5000,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.869630150928632605911161590484,1,10
152,152_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,145.000000000000000000000000000000,4561,342,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.058905256429461524958490770132,95,10
153,153_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,154.000000000000000000000000000000,3416,509,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.603305087763365111008795338421,68,10
154,154_0,FAILED,BoTorch,GenerationStep_1,,,2454,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.423043875432362104227479449037,1,10
155,155_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,146.000000000000000000000000000000,1715,446,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.681117755191444018691981909797,56,10
156,156_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,145.000000000000000000000000000000,2081,3136,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.743498830104431740473103218392,25,10
157,157_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,223.000000000000000000000000000000,3165,3444,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.647491436198475600605206636828,1,10
158,158_0,COMPLETED,BoTorch,GenerationStep_1,0.130000000000000004440892098501,146.000000000000000000000000000000,1488,2300,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.717295285486279632358730395936,37,10
159,159_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,148.000000000000000000000000000000,1540,1795,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.874573179628268970731141962460,54,10
160,160_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,220.000000000000000000000000000000,4445,1183,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.505642965269652688853341260256,1,10
161,161_0,FAILED,BoTorch,GenerationStep_1,,,252,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.708516910065534522011887474946,1,10
162,162_0,COMPLETED,BoTorch,GenerationStep_1,0.130000000000000004440892098501,190.000000000000000000000000000000,3678,1910,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100,10
163,163_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,147.000000000000000000000000000000,572,578,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.747810868637764469823991930753,69,10
164,164_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,230.000000000000000000000000000000,4575,692,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.724985361885871815168513876415,1,10
165,165_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,239.000000000000000000000000000000,3286,1160,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.281421436937153546242740276284,1,10
166,166_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,149.000000000000000000000000000000,2381,1267,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.902252804581109790760251598840,57,10
167,167_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,156.000000000000000000000000000000,2432,436,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,54,10
168,168_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,221.000000000000000000000000000000,1352,426,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.607797737858811748523635287711,1,10
169,169_0,COMPLETED,BoTorch,GenerationStep_1,0.130000000000000004440892098501,180.000000000000000000000000000000,4481,2376,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.636566432323462882969522524945,81,10
170,170_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,166.000000000000000000000000000000,4685,347,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.036666005299778141324207325624,9,10
171,171_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,148.000000000000000000000000000000,399,522,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,41,10
172,172_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,230.000000000000000000000000000000,1616,5000,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1,10
173,173_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,147.000000000000000000000000000000,16,1580,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,46,10
174,174_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,235.000000000000000000000000000000,4336,374,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.114132641490258132654922462734,1,10
175,175_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,153.000000000000000000000000000000,1,678,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,18,10
176,176_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,147.000000000000000000000000000000,4442,2103,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.442886098736938182973688071797,70,10
177,177_0,COMPLETED,BoTorch,GenerationStep_1,0.130000000000000004440892098501,133.000000000000000000000000000000,1,2289,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,64,10
178,178_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,247.000000000000000000000000000000,1541,2153,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.596182144714009432107104657916,1,10
179,179_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,132.000000000000000000000000000000,5000,551,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100,10
180,180_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,10
181,181_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,213.000000000000000000000000000000,5000,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,25,10
182,182_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,152.000000000000000000000000000000,4072,610,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,62,10
183,183_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,244.000000000000000000000000000000,4055,4242,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1,10
184,184_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,213.000000000000000000000000000000,4405,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,10
185,185_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,149.000000000000000000000000000000,4917,1471,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,18,10
186,186_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,151.000000000000000000000000000000,3333,1175,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,20,10
187,187_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,147.000000000000000000000000000000,2786,768,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,10
188,188_0,COMPLETED,BoTorch,GenerationStep_1,0.130000000000000004440892098501,146.000000000000000000000000000000,1,5000,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1,10
189,189_0,COMPLETED,BoTorch,GenerationStep_1,0.130000000000000004440892098501,143.000000000000000000000000000000,5000,4372,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,10
190,190_0,COMPLETED,BoTorch,GenerationStep_1,0.130000000000000004440892098501,162.000000000000000000000000000000,5000,5000,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1,10
191,191_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,21,10
192,192_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,171.000000000000000000000000000000,5000,5000,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1,10
193,193_0,COMPLETED,BoTorch,GenerationStep_1,0.130000000000000004440892098501,134.000000000000000000000000000000,1,415,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100,10
194,194_0,COMPLETED,BoTorch,GenerationStep_1,0.119999999999999995559107901499,134.000000000000000000000000000000,4284,3825,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1,10
195,195_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,10
196,196_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,222.000000000000000000000000000000,1812,4205,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1,10
197,197_0,COMPLETED,BoTorch,GenerationStep_1,0.130000000000000004440892098501,174.000000000000000000000000000000,2768,3567,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,28,10
198,198_0,COMPLETED,BoTorch,GenerationStep_1,0.130000000000000004440892098501,155.000000000000000000000000000000,1547,10,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,21,10
199,199_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,239.000000000000000000000000000000,5000,2746,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1,10
200,200_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,5,10
201,201_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,147.000000000000000000000000000000,4646,618,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,22,10
202,202_0,COMPLETED,BoTorch,GenerationStep_1,0.130000000000000004440892098501,147.000000000000000000000000000000,4226,2727,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,10
203,203_0,COMPLETED,BoTorch,GenerationStep_1,0.130000000000000004440892098501,130.000000000000000000000000000000,5000,2420,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,19,10
204,204_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,215.000000000000000000000000000000,1957,1,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,18,10
205,205_0,COMPLETED,BoTorch,GenerationStep_1,0.130000000000000004440892098501,135.000000000000000000000000000000,5000,1366,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,17,10
206,206_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,169.000000000000000000000000000000,1,554,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,10
207,207_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,229.000000000000000000000000000000,5000,2719,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1,10
208,208_0,COMPLETED,BoTorch,GenerationStep_1,0.130000000000000004440892098501,144.000000000000000000000000000000,1325,5000,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,6,10
209,209_0,COMPLETED,BoTorch,GenerationStep_1,0.130000000000000004440892098501,148.000000000000000000000000000000,4803,4784,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,10
210,210_0,COMPLETED,BoTorch,GenerationStep_1,0.130000000000000004440892098501,162.000000000000000000000000000000,2905,594,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,63,10
211,211_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.942496309546358990161252222606,1,10
212,212_0,COMPLETED,BoTorch,GenerationStep_1,0.130000000000000004440892098501,151.000000000000000000000000000000,3858,1801,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,21,10
213,213_0,FAILED,BoTorch,GenerationStep_1,,,120,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1,10
214,214_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,164.000000000000000000000000000000,3185,1463,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,18,10
215,215_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,151.000000000000000000000000000000,4648,664,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,21,10
216,216_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,142.000000000000000000000000000000,2338,1454,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,53,10
217,191_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,21,10
218,218_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,168.000000000000000000000000000000,4905,601,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,65,10
219,219_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.165337241054204636681035367474,1,10
220,220_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,157.000000000000000000000000000000,2318,1351,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,53,10
221,221_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,149.000000000000000000000000000000,4458,582,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,21,10
222,222_0,COMPLETED,BoTorch,GenerationStep_1,0.130000000000000004440892098501,144.000000000000000000000000000000,3292,5000,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,21,10
223,223_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,135.000000000000000000000000000000,3246,472,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,50,10
224,224_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,145.000000000000000000000000000000,5000,2487,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,68,10
225,225_0,COMPLETED,BoTorch,GenerationStep_1,0.130000000000000004440892098501,164.000000000000000000000000000000,4474,2659,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,70,10
226,226_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,166.000000000000000000000000000000,5000,433,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100,10
227,227_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,151.000000000000000000000000000000,4320,2018,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,23,10
228,228_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1,10
229,229_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,1279.000000000000000000000000000000,5000,1,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,31,10
230,230_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,145.000000000000000000000000000000,4558,777,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,12,10
231,231_0,COMPLETED,BoTorch,GenerationStep_1,0.130000000000000004440892098501,148.000000000000000000000000000000,4966,4216,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,73,10
232,232_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,142.000000000000000000000000000000,5000,413,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,43,10
233,233_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,150.000000000000000000000000000000,4373,3162,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.679436543775168710901368740451,26,10
234,234_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,231.000000000000000000000000000000,3234,3560,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.002590324468043172980585842069,1,10
235,235_0,COMPLETED,BoTorch,GenerationStep_1,0.130000000000000004440892098501,139.000000000000000000000000000000,4935,1491,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,17,10
236,236_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,228.000000000000000000000000000000,323,3555,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1,10
237,237_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,207.000000000000000000000000000000,161,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,36,10
238,238_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,139.000000000000000000000000000000,5000,700,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,26,10
239,239_0,COMPLETED,BoTorch,GenerationStep_1,0.130000000000000004440892098501,148.000000000000000000000000000000,4982,4614,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,38,10
240,240_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,170.000000000000000000000000000000,4047,972,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.882410936304691584375348156755,1,10
241,241_0,COMPLETED,BoTorch,GenerationStep_1,0.130000000000000004440892098501,148.000000000000000000000000000000,4623,1110,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,31,10
242,242_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,1054.000000000000000000000000000000,5000,1,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,29,10
243,243_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1,10
244,244_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,157.000000000000000000000000000000,4417,157,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,32,10
245,245_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,190.000000000000000000000000000000,4096,2661,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1,10
246,246_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,173.000000000000000000000000000000,1,982,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1,10
247,247_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,177.000000000000000000000000000000,3520,1181,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,30,10
248,248_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,180.000000000000000000000000000000,1125,3477,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,10
249,249_0,FAILED,BoTorch,GenerationStep_1,,,4106,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,86,10
250,250_0,FAILED,BoTorch,GenerationStep_1,,,968,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1,10
251,251_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,230.000000000000000000000000000000,4989,1589,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1,10
252,252_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,167.000000000000000000000000000000,1307,993,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,10
253,253_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,174.000000000000000000000000000000,3652,2265,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,10
254,254_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,202.000000000000000000000000000000,463,4993,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1,10
255,255_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100,10
256,256_0,COMPLETED,BoTorch,GenerationStep_1,0.110000000000000000555111512313,114.000000000000000000000000000000,5000,4315,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,32,10
257,257_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,132.000000000000000000000000000000,4648,1180,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,29,10
258,258_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,171.000000000000000000000000000000,2139,3736,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1,10
259,259_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,179.000000000000000000000000000000,5000,898,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,34,10
260,260_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,173.000000000000000000000000000000,3875,2239,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1,10
261,261_0,COMPLETED,BoTorch,GenerationStep_1,0.130000000000000004440892098501,127.000000000000000000000000000000,54,888,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,35,10
262,262_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,1123.000000000000000000000000000000,4981,1,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,30,10
263,263_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100,10
264,228_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1,10
265,265_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,148.000000000000000000000000000000,4993,821,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,32,10
266,266_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,226.000000000000000000000000000000,2694,3121,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1,10
267,267_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,169.000000000000000000000000000000,2060,2872,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,10
268,268_0,COMPLETED,BoTorch,GenerationStep_1,0.130000000000000004440892098501,126.000000000000000000000000000000,4639,3082,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,31,10
269,269_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,170.000000000000000000000000000000,5000,938,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1,10
270,270_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,162.000000000000000000000000000000,537,112,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,32,10
271,271_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,226.000000000000000000000000000000,5000,2493,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1,10
272,272_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,226.000000000000000000000000000000,5000,4799,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1,10
273,273_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,231.000000000000000000000000000000,5000,4450,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1,10
274,274_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,231.000000000000000000000000000000,1,254,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1,10
275,275_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,177.000000000000000000000000000000,141,78,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,33,10
276,276_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,224.000000000000000000000000000000,1,2043,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1,10
277,277_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,223.000000000000000000000000000000,5000,3886,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1,10
278,278_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,237.000000000000000000000000000000,1,2868,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1,10
279,279_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,232.000000000000000000000000000000,3888,1359,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1,10
280,280_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,10
281,281_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,227.000000000000000000000000000000,1,1329,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,10
282,282_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,228.000000000000000000000000000000,1,3347,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1,10
283,283_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,226.000000000000000000000000000000,1342,169,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1,10
284,284_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,224.000000000000000000000000000000,1,4856,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1,10
285,285_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,243.000000000000000000000000000000,1,203,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1,10
286,286_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,176.000000000000000000000000000000,1,94,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1,10
287,287_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,227.000000000000000000000000000000,5000,3244,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1,10
288,288_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,235.000000000000000000000000000000,5000,2978,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1,10
289,289_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,254.000000000000000000000000000000,5000,2529,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1,10
290,290_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,239.000000000000000000000000000000,1,3909,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1,10
291,291_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,170.000000000000000000000000000000,1098,136,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,36,10
292,292_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,225.000000000000000000000000000000,5000,4445,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1,10
293,293_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,225.000000000000000000000000000000,1,2337,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1,10
294,294_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,228.000000000000000000000000000000,5000,4792,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1,10
295,295_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,226.000000000000000000000000000000,1,125,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1,10
296,296_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,1411.000000000000000000000000000000,13,14,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,83,10
297,297_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,243.000000000000000000000000000000,5000,150,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1,10
298,298_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,226.000000000000000000000000000000,5000,3792,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1,10
299,299_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,188.000000000000000000000000000000,1,93,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,36,10
300,300_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,155.000000000000000000000000000000,3445,425,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,28,10
301,301_0,COMPLETED,BoTorch,GenerationStep_1,0.130000000000000004440892098501,140.000000000000000000000000000000,2318,540,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.968144991098340956803269818920,31,10
302,302_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,228.000000000000000000000000000000,2469,4606,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.029424784820820219788384264348,1,10
303,303_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,228.000000000000000000000000000000,1,4508,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1,10
304,304_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,155.000000000000000000000000000000,3794,347,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,25,10
305,305_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,227.000000000000000000000000000000,422,1012,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1,10
306,306_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,143.000000000000000000000000000000,3165,395,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,45,10
307,307_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,157.000000000000000000000000000000,3660,474,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,33,10
308,308_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,225.000000000000000000000000000000,1109,3054,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1,10
309,309_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,226.000000000000000000000000000000,1,817,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1,10
310,310_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,153.000000000000000000000000000000,2617,357,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,25,10
311,311_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,226.000000000000000000000000000000,5000,596,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.702089327624380477033128045150,1,10
312,312_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,148.000000000000000000000000000000,3215,479,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.554371510454368277009962184820,29,10
313,313_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,219.000000000000000000000000000000,5000,954,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1,10
314,314_0,FAILED,BoTorch,GenerationStep_1,,,3079,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1,10
315,315_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,224.000000000000000000000000000000,5000,3240,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1,10
316,316_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,223.000000000000000000000000000000,3017,5000,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1,10
317,317_0,COMPLETED,BoTorch,GenerationStep_1,0.130000000000000004440892098501,136.000000000000000000000000000000,3224,435,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,33,10
318,318_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,223.000000000000000000000000000000,1,2621,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,10
319,319_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,226.000000000000000000000000000000,3432,2362,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1,10
320,320_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,144.000000000000000000000000000000,3321,613,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.833145671261081965930372916773,34,10
321,321_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,165.000000000000000000000000000000,3485,468,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,46,10
322,322_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,142.000000000000000000000000000000,3701,482,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,34,10
323,323_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,155.000000000000000000000000000000,3416,395,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,25,10
324,324_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,184.000000000000000000000000000000,4572,618,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,39,10
325,325_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,217.000000000000000000000000000000,1,1518,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,93,10
326,326_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,269.000000000000000000000000000000,5000,3439,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,10
327,327_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,224.000000000000000000000000000000,647,1285,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1,10
328,328_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,228.000000000000000000000000000000,1,784,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.057803830212638192265206527054,1,10
329,329_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,147.000000000000000000000000000000,3484,305,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.159287259914841661245787918233,27,10
330,330_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,141.000000000000000000000000000000,2791,183,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,30,10
331,331_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,178.000000000000000000000000000000,4629,209,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,46,10
332,332_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,145.000000000000000000000000000000,4600,177,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,46,10
333,333_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,142.000000000000000000000000000000,4918,981,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,32,10
334,334_0,FAILED,BoTorch,GenerationStep_1,,,4873,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,88,10
335,335_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,234.000000000000000000000000000000,5000,1988,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.170337297454374897442974656769,1,10
336,336_0,COMPLETED,BoTorch,GenerationStep_1,0.130000000000000004440892098501,135.000000000000000000000000000000,990,814,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,30,10
337,337_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,151.000000000000000000000000000000,375,215,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,3,10
338,338_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,535.000000000000000000000000000000,4967,151,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,88,10
339,339_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,234.000000000000000000000000000000,4167,1770,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.569743697768337886699896444043,1,10
340,340_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,179.000000000000000000000000000000,5000,1823,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1,10
341,341_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,146.000000000000000000000000000000,2891,2854,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,32,10
342,342_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,148.000000000000000000000000000000,4868,222,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,21,10
343,343_0,COMPLETED,BoTorch,GenerationStep_1,0.130000000000000004440892098501,159.000000000000000000000000000000,2288,2710,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,30,10
344,344_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,145.000000000000000000000000000000,4247,1002,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,65,10
345,345_0,COMPLETED,BoTorch,GenerationStep_1,0.130000000000000004440892098501,148.000000000000000000000000000000,3800,2564,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,30,10
346,346_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,149.000000000000000000000000000000,5000,164,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,59,10
347,347_0,COMPLETED,BoTorch,GenerationStep_1,0.130000000000000004440892098501,137.000000000000000000000000000000,456,1047,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,45,10
348,348_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,177.000000000000000000000000000000,1,3108,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1,10
349,349_0,COMPLETED,BoTorch,GenerationStep_1,0.130000000000000004440892098501,151.000000000000000000000000000000,5000,2211,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,50,10
350,350_0,COMPLETED,BoTorch,GenerationStep_1,0.130000000000000004440892098501,147.000000000000000000000000000000,3997,2208,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,73,10
351,351_0,COMPLETED,BoTorch,GenerationStep_1,0.130000000000000004440892098501,121.000000000000000000000000000000,1021,2592,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,38,10
352,352_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,172.000000000000000000000000000000,5000,1694,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,10
353,353_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,142.000000000000000000000000000000,1030,2916,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,63,10
354,354_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,168.000000000000000000000000000000,1485,4630,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1,10
355,355_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,140.000000000000000000000000000000,153,981,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,23,10
356,356_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,152.000000000000000000000000000000,4919,223,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,45,10
357,357_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,148.000000000000000000000000000000,1424,2808,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,40,10
358,358_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,144.000000000000000000000000000000,2274,1003,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,32,10
359,359_0,COMPLETED,BoTorch,GenerationStep_1,0.130000000000000004440892098501,137.000000000000000000000000000000,169,2516,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,23,10
360,360_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,151.000000000000000000000000000000,2016,160,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,23,10
361,361_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,229.000000000000000000000000000000,3928,163,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,24,10
362,362_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,253.000000000000000000000000000000,5000,737,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1,10
363,363_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,177.000000000000000000000000000000,3250,1304,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,10
364,364_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,164.000000000000000000000000000000,1,156,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1,10
365,365_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,217.000000000000000000000000000000,1515,4718,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.993883753447439399764107292867,1,10
366,366_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,226.000000000000000000000000000000,4631,4312,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.690451859569924719650657607417,1,10
367,367_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,225.000000000000000000000000000000,1,4318,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1,10
368,368_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,223.000000000000000000000000000000,5000,885,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1,10
369,369_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,192.000000000000000000000000000000,1,155,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1,10
370,370_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,226.000000000000000000000000000000,3389,73,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1,10
371,371_0,FAILED,BoTorch,GenerationStep_1,,,2884,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.765799264793658118755104169395,1,10
372,372_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,221.000000000000000000000000000000,5000,1708,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.944930281907456426360170098633,1,10
373,373_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,223.000000000000000000000000000000,1,4884,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,10
374,374_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,222.000000000000000000000000000000,5000,1434,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,10
375,375_0,COMPLETED,BoTorch,GenerationStep_1,0.130000000000000004440892098501,144.000000000000000000000000000000,1913,1413,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,45,10
376,376_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,222.000000000000000000000000000000,1,4091,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1,10
377,377_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,168.000000000000000000000000000000,4299,732,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,10
378,378_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,220.000000000000000000000000000000,5000,381,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1,10
379,379_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,242.000000000000000000000000000000,2748,2222,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,10
380,380_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,170.000000000000000000000000000000,5000,1244,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,10
381,381_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,222.000000000000000000000000000000,1,4328,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1,10
382,382_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,225.000000000000000000000000000000,1,3853,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,10
383,383_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,167.000000000000000000000000000000,1,1361,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,10
384,384_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,169.000000000000000000000000000000,5000,1613,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1,10
385,385_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,234.000000000000000000000000000000,5000,4286,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1,10
386,386_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,230.000000000000000000000000000000,1,70,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1,10
387,387_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,225.000000000000000000000000000000,1,1723,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.133275874895803170261388004292,1,10
388,388_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,169.000000000000000000000000000000,4149,1074,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1,10
389,389_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,168.000000000000000000000000000000,5000,1214,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1,10
390,390_0,RUNNING,BoTorch,GenerationStep_1,,,3698,1,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,73,10
391,391_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,140.000000000000000000000000000000,4179,485,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,36,10
392,392_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,250.000000000000000000000000000000,3831,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,10
393,393_0,RUNNING,BoTorch,GenerationStep_1,,,1,1,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,98,10
394,394_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,26,10
395,395_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,216.000000000000000000000000000000,3208,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,100,10
396,396_0,RUNNING,BoTorch,GenerationStep_1,,,3647,1,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,76,10
397,397_0,FAILED,BoTorch,GenerationStep_1,,,3706,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,6,10
398,398_0,FAILED,BoTorch,GenerationStep_1,,,1459,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,24,10
399,399_0,RUNNING,BoTorch,GenerationStep_1,,,511,1,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,97,10
400,400_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,2248.000000000000000000000000000000,4174,1,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,38,10
401,401_0,RUNNING,BoTorch,GenerationStep_1,,,4045,1,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,93,10
402,402_0,FAILED,BoTorch,GenerationStep_1,,,4373,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,24,10
403,403_0,FAILED,BoTorch,GenerationStep_1,,,2719,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,79,10
404,404_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,388.000000000000000000000000000000,3698,135,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,78,10
405,405_0,RUNNING,BoTorch,GenerationStep_1,,,2493,1,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,63,10
406,406_0,RUNNING,BoTorch,GenerationStep_1,,,2526,1,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,94,10
407,407_0,RUNNING,BoTorch,GenerationStep_1,,,1090,1,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,97,10
408,408_0,FAILED,BoTorch,GenerationStep_1,,,1945,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,27,10
409,409_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,202.000000000000000000000000000000,2407,2090,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,4,10
410,410_0,RUNNING,BoTorch,GenerationStep_1,,,1776,1,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100,10
411,411_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,214.000000000000000000000000000000,3776,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,5,10
412,412_0,FAILED,BoTorch,GenerationStep_1,,,599,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,25,10
413,413_0,FAILED,BoTorch,GenerationStep_1,,,2790,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,89,10
414,414_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,160.000000000000000000000000000000,1004,37,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,6,10
415,415_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,213.000000000000000000000000000000,4566,2825,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,3,10
416,416_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,237.000000000000000000000000000000,1097,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,28,10
417,417_0,RUNNING,BoTorch,GenerationStep_1,,,4287,1,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,91,10
418,418_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,206.000000000000000000000000000000,3950,1,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,51,10
419,419_0,FAILED,BoTorch,GenerationStep_1,,,3711,1,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,89,10
420,420_0,COMPLETED,Sobol,SOBOL,0.140000000000000013322676295502,201.000000000000000000000000000000,4315,3427,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.899348868250846811278620407393,80,10
421,421_0,COMPLETED,Sobol,SOBOL,0.130000000000000004440892098501,183.000000000000000000000000000000,977,1758,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.338608858544379498489718116616,5,10
422,422_0,COMPLETED,Sobol,SOBOL,0.130000000000000004440892098501,209.000000000000000000000000000000,1612,4763,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.217635440129786722485150107786,54,10
423,423_0,COMPLETED,Sobol,SOBOL,0.140000000000000013322676295502,234.000000000000000000000000000000,3739,103,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.529119090097025068786251722486,31,10
424,424_0,COMPLETED,Sobol,SOBOL,0.130000000000000004440892098501,205.000000000000000000000000000000,2915,3880,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.781522139215841904480441826308,70,10
425,425_0,COMPLETED,Sobol,SOBOL,0.140000000000000013322676295502,249.000000000000000000000000000000,2347,939,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.472212064754217841766603669384,46,10
426,426_0,COMPLETED,Sobol,SOBOL,0.140000000000000013322676295502,182.000000000000000000000000000000,541,3011,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.101738646339625121717276101663,97,10
427,427_0,COMPLETED,Sobol,SOBOL,0.130000000000000004440892098501,198.000000000000000000000000000000,4819,2124,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.660792373144999167777768889209,19,10
428,428_0,COMPLETED,Sobol,SOBOL,0.130000000000000004440892098501,188.000000000000000000000000000000,4624,4626,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.600787834288552424766294279834,65,10
429,429_0,COMPLETED,Sobol,SOBOL,0.140000000000000013322676295502,209.000000000000000000000000000000,32,514,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.161620466742664586901057077739,40,10
430,430_0,COMPLETED,Sobol,SOBOL,0.140000000000000013322676295502,190.000000000000000000000000000000,1917,3446,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.282593825671821841094555338714,91,10
431,431_0,COMPLETED,Sobol,SOBOL,0.140000000000000013322676295502,181.000000000000000000000000000000,2797,1387,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.971017540873959639213808259228,14,10
432,432_0,COMPLETED,Sobol,SOBOL,0.130000000000000004440892098501,146.000000000000000000000000000000,3232,2601,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.716798587301746059630147556163,87,10
433,433_0,COMPLETED,Sobol,SOBOL,0.130000000000000004440892098501,230.000000000000000000000000000000,1416,2261,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.030076876815408468829327048866,11,10
434,434_0,COMPLETED,Sobol,SOBOL,0.130000000000000004440892098501,181.000000000000000000000000000000,860,4250,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.400550235744565719109289148037,60,10
435,435_0,COMPLETED,Sobol,SOBOL,0.140000000000000013322676295502,251.000000000000000000000000000000,3885,919,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.837528293887153219010599514149,38,10
436,436_0,COMPLETED,Sobol,SOBOL,0.130000000000000004440892098501,210.000000000000000000000000000000,4034,4173,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.048384241776540874713230522275,2,10
437,437_0,COMPLETED,Sobol,SOBOL,0.160000000000000003330669073875,370.000000000000000000000000000000,696,685,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.737049681622535035607768350019,77,10
438,438_0,COMPLETED,Sobol,SOBOL,0.130000000000000004440892098501,212.000000000000000000000000000000,1252,2679,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.865576263207942231403535515710,28,10
439,439_0,COMPLETED,Sobol,SOBOL,0.140000000000000013322676295502,169.000000000000000000000000000000,3381,2495,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.426654475705698144061273069383,51,10
440,440_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,385.000000000000000000000000000000,2910,563,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.435221763740643252660333928361,77,10
441,441_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,237.000000000000000000000000000000,4406,452,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,16,10
442,442_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,171.000000000000000000000000000000,4458,968,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,10,10
443,443_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,247.000000000000000000000000000000,4508,3891,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,3,10
444,444_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.130000000000000004440892098501,184.000000000000000000000000000000,4674,2752,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,25,10
445,445_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,171.000000000000000000000000000000,1842,1428,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,24,10
446,446_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,327.000000000000000000000000000000,2050,2972,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.782180492252192327562454465806,1,10
447,447_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,353.000000000000000000000000000000,555,2816,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1,10
448,448_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,332.000000000000000000000000000000,4455,3270,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.495162882046078778319753155301,1,10
449,449_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,284.000000000000000000000000000000,3143,330,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.452542192017830857686533363449,1,10
450,450_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,318.000000000000000000000000000000,922,2719,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.425755731548812743625376242562,1,10
451,451_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,337.000000000000000000000000000000,2413,3290,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1,10
452,452_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,317.000000000000000000000000000000,727,3112,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.905233149534850345396819193411,1,10
453,453_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,814.000000000000000000000000000000,122,147,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,77,10
454,454_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,340.000000000000000000000000000000,933,3568,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.599009897729343432359883081517,1,10
455,455_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,293.000000000000000000000000000000,438,2896,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1,10
456,456_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,352.000000000000000000000000000000,3320,1868,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,10
457,457_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,304.000000000000000000000000000000,2131,4816,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.124390472899959525499014034722,1,10
458,458_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,350.000000000000000000000000000000,4722,681,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,75,10
459,459_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,334.000000000000000000000000000000,3671,3499,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1,10
460,460_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,342.000000000000000000000000000000,2844,3119,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.989485289092338349270505659661,1,10
461,461_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,329.000000000000000000000000000000,4280,3899,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.271796902977232968101617416323,1,10
462,462_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,326.000000000000000000000000000000,453,2345,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,10
463,463_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,325.000000000000000000000000000000,3746,1974,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.722910833015768861109506815410,1,10
464,464_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,897.000000000000000000000000000000,4439,65,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,76,10
465,465_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,349.000000000000000000000000000000,2562,1379,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.324949550588490509994699095841,1,10
466,466_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,340.000000000000000000000000000000,4056,2680,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,10
467,467_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,294.000000000000000000000000000000,52,361,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,76,10
468,468_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,233.000000000000000000000000000000,3417,107,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,15,10
469,469_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,317.000000000000000000000000000000,5000,1588,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1,10
470,470_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,332.000000000000000000000000000000,557,1274,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,79,10
471,471_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,248.000000000000000000000000000000,5000,385,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1,10
472,472_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.130000000000000004440892098501,459.000000000000000000000000000000,1665,405,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,96,10
473,473_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3239,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,78,10
474,474_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4519,1,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,85,10
475,475_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,219.000000000000000000000000000000,1567,192,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.464108679809301982732705482704,28,10
476,476_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,237.000000000000000000000000000000,1962,298,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.890126901748199084174473227904,49,10
477,477_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,274.000000000000000000000000000000,566,110,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.755630099777073516165160071978,46,10
478,478_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,186.000000000000000000000000000000,4342,296,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,33,10
479,479_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,323.000000000000000000000000000000,2320,895,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.555992373217174318256184051279,1,10
480,480_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.160000000000000003330669073875,454.000000000000000000000000000000,4464,682,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,84,10
481,481_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,222.000000000000000000000000000000,4490,522,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,29,10
482,482_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,364.000000000000000000000000000000,201,2029,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.536297745962685423748439461633,1,10
483,483_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,361.000000000000000000000000000000,5000,540,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1,10
484,484_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,256.000000000000000000000000000000,1946,1482,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,82,10
485,485_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,325.000000000000000000000000000000,5000,2644,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1,10
486,486_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,354.000000000000000000000000000000,1,4115,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1,10
487,487_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,258.000000000000000000000000000000,2577,4878,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1,10
488,488_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,320.000000000000000000000000000000,5000,3705,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1,10
489,489_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,219.000000000000000000000000000000,5000,324,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,10
490,490_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,336.000000000000000000000000000000,5000,4644,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1,10
491,491_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,322.000000000000000000000000000000,5000,1461,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1,10
492,492_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,321.000000000000000000000000000000,5000,2201,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1,10
493,493_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,351.000000000000000000000000000000,4288,1112,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,10
494,494_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,419.000000000000000000000000000000,1841,387,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,83,10
495,495_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.119999999999999995559107901499,170.000000000000000000000000000000,5000,5000,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,100,10
496,496_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,207.000000000000000000000000000000,5000,589,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,10
497,497_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,240.000000000000000000000000000000,5000,188,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100,10
498,498_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,231.000000000000000000000000000000,1865,737,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,79,10
499,499_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,174.000000000000000000000000000000,5000,4403,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1,10
500,500_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.130000000000000004440892098501,551.000000000000000000000000000000,684,180,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,89,10
501,501_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,207.000000000000000000000000000000,5000,841,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,10
502,502_0,FAILED,BoTorch,BOTORCH_MODULAR,,,777,1,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1,10
503,503_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,214.000000000000000000000000000000,3148,1464,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100,10
504,504_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,218.000000000000000000000000000000,5000,372,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100,10
505,505_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,317.000000000000000000000000000000,2059,799,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,10
506,506_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,231.000000000000000000000000000000,5000,155,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1,10
507,507_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,356.000000000000000000000000000000,5000,1240,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1,10
508,508_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,246.000000000000000000000000000000,5000,2110,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,10
509,509_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,214.000000000000000000000000000000,2939,3333,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,94,10
510,510_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,348.000000000000000000000000000000,5000,40,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1,10
511,511_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,264.000000000000000000000000000000,5000,2477,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1,10
512,512_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,310.000000000000000000000000000000,4838,1691,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,82,10
513,513_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.130000000000000004440892098501,210.000000000000000000000000000000,5000,1158,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100,10
514,514_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,261.000000000000000000000000000000,5000,3272,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1,10
515,515_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,187.000000000000000000000000000000,4594,102,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,27,10
516,516_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,195.000000000000000000000000000000,2913,105,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,49,10
517,517_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,245.000000000000000000000000000000,4464,3038,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,39,10
518,518_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,201.000000000000000000000000000000,3477,873,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.271599647360990792410717631356,35,10
519,519_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,275.000000000000000000000000000000,80,197,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,10
520,520_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,145.000000000000000000000000000000,3096,290,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,34,10
521,521_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,232.000000000000000000000000000000,1269,947,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,50,10
522,522_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,282.000000000000000000000000000000,3896,932,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,72,10
523,523_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,168.000000000000000000000000000000,4655,1355,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,74,10
524,524_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,628.000000000000000000000000000000,4326,417,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,81,10
525,525_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.130000000000000004440892098501,191.000000000000000000000000000000,917,3373,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,94,10
526,526_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,222.000000000000000000000000000000,545,322,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,51,10
527,527_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,236.000000000000000000000000000000,4210,3030,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,54,10
528,528_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.130000000000000004440892098501,245.000000000000000000000000000000,3260,3747,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100,10
529,529_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.130000000000000004440892098501,225.000000000000000000000000000000,4882,1368,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,44,10
530,530_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.130000000000000004440892098501,190.000000000000000000000000000000,1222,2861,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,76,10
531,531_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.119999999999999995559107901499,232.000000000000000000000000000000,4184,5000,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,100,10
532,532_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,260.000000000000000000000000000000,180,689,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,3,10
533,533_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,143.000000000000000000000000000000,1101,249,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,12,10
534,534_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,351.000000000000000000000000000000,5000,1797,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1,10
535,535_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,322.000000000000000000000000000000,1,4238,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1,10
536,536_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,257.000000000000000000000000000000,2076,314,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,48,10
537,537_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,209.000000000000000000000000000000,3017,400,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,8,10
538,538_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,338.000000000000000000000000000000,1311,560,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,2,10
539,539_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.130000000000000004440892098501,201.000000000000000000000000000000,4900,4674,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,81,10
540,540_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,223.000000000000000000000000000000,3667,693,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,52,10
541,541_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,179.000000000000000000000000000000,5000,1484,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,10
542,542_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,232.000000000000000000000000000000,5000,4397,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1,10
543,543_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,348.000000000000000000000000000000,3609,370,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1,10
544,544_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.130000000000000004440892098501,195.000000000000000000000000000000,1907,874,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,51,10
545,545_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.130000000000000004440892098501,159.000000000000000000000000000000,4051,1841,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,94,10
546,546_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,147.000000000000000000000000000000,2714,3453,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,85,10
547,547_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,205.000000000000000000000000000000,3600,1773,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1,10
548,548_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,176.000000000000000000000000000000,1,3721,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1,10
549,549_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,129.000000000000000000000000000000,1141,3456,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,19,10
550,550_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,257.000000000000000000000000000000,1,3599,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1,10
551,551_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.130000000000000004440892098501,206.000000000000000000000000000000,3921,3193,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,78,10
552,552_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,205.000000000000000000000000000000,4315,1095,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,21,10
553,553_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,180.000000000000000000000000000000,2041,122,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,37,10
554,554_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,225.000000000000000000000000000000,3061,2444,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,52,10
555,555_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.130000000000000004440892098501,237.000000000000000000000000000000,4465,1798,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,82,10
556,556_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,282.000000000000000000000000000000,3492,1144,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,85,10
557,557_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.130000000000000004440892098501,231.000000000000000000000000000000,1122,1668,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,70,10
558,558_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,208.000000000000000000000000000000,3092,1625,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,24,10
559,559_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,173.000000000000000000000000000000,1929,3500,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,89,10
560,560_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.130000000000000004440892098501,208.000000000000000000000000000000,1749,3282,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,19,10
561,561_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.130000000000000004440892098501,160.000000000000000000000000000000,4148,2766,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,51,10
562,562_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,245.000000000000000000000000000000,2330,4130,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1,10
563,563_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,247.000000000000000000000000000000,1,4016,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1,10
564,564_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.119999999999999995559107901499,183.000000000000000000000000000000,2829,4874,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,33,10
565,565_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,212.000000000000000000000000000000,355,1409,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,23,10
566,566_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,202.000000000000000000000000000000,2975,206,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,40,10
567,567_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,246.000000000000000000000000000000,1020,3783,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1,10
568,568_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,246.000000000000000000000000000000,1,4273,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1,10
569,569_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,244.000000000000000000000000000000,1238,4468,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1,10
570,570_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,203.000000000000000000000000000000,1257,3405,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1,10
571,571_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.130000000000000004440892098501,150.000000000000000000000000000000,703,2830,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,89,10
572,572_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,367.000000000000000000000000000000,284,904,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,82,10
573,573_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,263.000000000000000000000000000000,3904,191,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,30,10
574,574_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,203.000000000000000000000000000000,898,101,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,100,10
575,575_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.130000000000000004440892098501,186.000000000000000000000000000000,4762,954,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,21,10
576,576_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,170.000000000000000000000000000000,4304,112,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,3,10
577,577_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,326.000000000000000000000000000000,4105,2434,str\(\'H\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,10
578,578_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,247.000000000000000000000000000000,3918,2809,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1,10
579,579_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,236.000000000000000000000000000000,1,4695,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1,10
580,580_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,326.000000000000000000000000000000,1783,4693,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1,10
581,581_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,332.000000000000000000000000000000,5000,303,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,10
582,582_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,224.000000000000000000000000000000,1029,122,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,40,10
583,583_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,338.000000000000000000000000000000,1,1147,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1,10
584,584_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,319.000000000000000000000000000000,1,4484,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,10
585,585_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,245.000000000000000000000000000000,4432,1923,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1,10
586,586_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,315.000000000000000000000000000000,1,671,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1,10
587,587_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,330.000000000000000000000000000000,1,1566,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,10
588,588_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,318.000000000000000000000000000000,1,2517,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.045632619968194225446023182258,1,10
589,589_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,337.000000000000000000000000000000,5000,4925,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1,10
590,590_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,229.000000000000000000000000000000,4885,4829,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1,10
591,591_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,245.000000000000000000000000000000,1511,439,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,10
592,592_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,256.000000000000000000000000000000,1,4286,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1,10
593,593_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,184.000000000000000000000000000000,947,91,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,24,10
594,594_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.130000000000000004440892098501,179.000000000000000000000000000000,2078,4388,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,83,10
595,595_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,316.000000000000000000000000000000,93,3987,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,10
596,596_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,311.000000000000000000000000000000,1,3374,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1,10
597,597_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,204.000000000000000000000000000000,1,4554,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1,10
598,598_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,192.000000000000000000000000000000,3499,256,str\(\'H\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,67,10
599,599_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,235.000000000000000000000000000000,1583,1118,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.111331601117963488456474863142,1,10
600,600_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,224.000000000000000000000000000000,3323,280,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.398160236180669424577160953049,32,10
601,601_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,210.000000000000000000000000000000,3784,906,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.744460760902409646178057300858,23,10
602,602_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,194.000000000000000000000000000000,4234,212,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.563143033746358434576961826679,32,10
603,603_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,235.000000000000000000000000000000,4941,754,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1,10
604,604_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,253.000000000000000000000000000000,2460,163,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,47,10
605,605_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,247.000000000000000000000000000000,1297,2961,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1,10
606,606_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,183.000000000000000000000000000000,5000,3019,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,10
607,607_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,197.000000000000000000000000000000,5000,1968,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,67,10
608,608_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,273.000000000000000000000000000000,1,3712,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1,10
609,609_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,207.000000000000000000000000000000,2409,3131,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.267687583508692983347287963625,35,10
610,610_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,240.000000000000000000000000000000,1,4120,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1,10
611,611_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.130000000000000004440892098501,219.000000000000000000000000000000,568,178,str\(\'KL\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.495972337384211980904069605458,5,10
612,612_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,245.000000000000000000000000000000,360,1394,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1,10
613,613_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,219.000000000000000000000000000000,2073,75,str\(\'H\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.568696098277881256777277485526,4,10
614,614_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.130000000000000004440892098501,156.000000000000000000000000000000,250,494,str\(\'H\'\),3.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,30,10
615,615_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,264.000000000000000000000000000000,5000,1595,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1,10
616,616_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,220.000000000000000000000000000000,1118,236,str\(\'H\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,31,10
617,617_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,338.000000000000000000000000000000,1084,4960,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1,10
618,618_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,255.000000000000000000000000000000,1,3246,str\(\'KL\'\),2.000000000000000000000000000000,str\(\'stdev\'\),0.001000000000000000020816681712,1,10
619,619_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,255.000000000000000000000000000000,5000,569,str\(\'H\'\),2.000000000000000000000000000000,str\(\'tstat\'\),0.998999999999999999111821580300,1,10
620,620_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,269.000000000000000000000000000000,1,3801,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'stdev\'\),0.998999999999999999111821580300,1,10
621,621_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,918,1130,str\(\'KL\'\),1.000000000000000000000000000000,str\(\'tstat\'\),0.001000000000000000020816681712,1,10

Copy raw data to clipboard

Download »results.csv« as file

Copy raw data to clipboard

Download »job_infos.csv« as file

start_time,end_time,run_time,program_string,recent_samples_size,batch_size,divergence,detect_batch,statistic,significance,subsets,feature_id,ACCURACY,RUNTIME,exit_code,signal,hostname,OO_Info_runtime,OO_Info_peak_memory,OO_Info_mean_memory,OO_Info_lpd,OO_Info_portion_req_label,OO_Info_SLURM_JOB_ID
1744999019,1744999236,217,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4315 feature_id 10 batch_size 3427 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.8993488682508468 subsets 80,4315,3427,str\(\'KL\'\),2,str\(\'stdev\'\),0.8993488682508468,80,10,0.14,201,0,None,i7172,201,688.09765625,687.7160326086956,-1,0.08540809968847352,4548081
1744999059,1744999260,201,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 977 feature_id 10 batch_size 1758 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.3386088585443795 subsets 5,977,1758,str\(\'H\'\),3,str\(\'tstat\'\),0.3386088585443795,5,10,0.13,183,0,None,i7171,183,688.41015625,688.3709077380952,-1,0.15334579439252335,4548110
1744999091,1744999315,224,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1612 feature_id 10 batch_size 4763 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.21763544012978672 subsets 54,1612,4763,str\(\'KL\'\),1,str\(\'tstat\'\),0.21763544012978672,54,10,0.13,209,0,None,i7170,209,688.2578125,688.215183423913,-1,0.17805607476635513,4548144
1744999140,1744999388,248,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3739 feature_id 10 batch_size 103 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.5291190900970251 subsets 31,3739,103,str\(\'H\'\),2,str\(\'stdev\'\),0.5291190900970251,31,10,0.14,234,0,None,i7172,234,688.15625,688.1225961538462,-1,0.22793769470404984,4548181
1744999179,1744999399,220,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2915 feature_id 10 batch_size 3880 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.7815221392158419 subsets 70,2915,3880,str\(\'H\'\),2,str\(\'stdev\'\),0.7815221392158419,70,10,0.13,205,0,None,i7169,205,688.109375,688.0648777173913,-1,0.1450467289719626,4548219
1744999284,1744999484,200,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 541 feature_id 10 batch_size 3011 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.10173864633962512 subsets 97,541,3011,str\(\'H\'\),3,str\(\'tstat\'\),0.10173864633962512,97,10,0.14,182,0,None,i7168,182,687.52734375,687.0517113095239,-1,0.2251214953271028,4548320
1744999300,1744999496,196,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3232 feature_id 10 batch_size 2601 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.7167985873017461 subsets 87,3232,2601,str\(\'KL\'\),3,str\(\'tstat\'\),0.7167985873017461,87,10,0.13,146,0,None,i7165,146,688.734375,685.2217371323529,-1,0.2268785046728972,4548640
1744999240,1744999502,262,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2347 feature_id 10 batch_size 939 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.47221206475421784 subsets 46,2347,939,str\(\'KL\'\),1,str\(\'tstat\'\),0.47221206475421784,46,10,0.14,249,0,None,i7172,249,689.0078125,688.9823495370371,-1,0.38462305295950155,4548263
1744999289,1744999508,219,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4624 feature_id 10 batch_size 4626 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.6007878342885524 subsets 65,4624,4626,str\(\'H\'\),1,str\(\'tstat\'\),0.6007878342885524,65,10,0.13,188,0,None,i7167,188,688.953125,688.913318452381,-1,0.17293457943925233,4548409
1744999285,1744999513,228,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4819 feature_id 10 batch_size 2124 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.6607923731449992 subsets 19,4819,2124,str\(\'KL\'\),1,str\(\'stdev\'\),0.6607923731449992,19,10,0.13,198,0,None,i7167,198,688.53515625,688.5133167613636,-1,0.18527102803738318,4548364
1744999298,1744999552,254,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2797 feature_id 10 batch_size 1387 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.9710175408739596 subsets 14,2797,1387,str\(\'KL\'\),3,str\(\'tstat\'\),0.9710175408739596,14,10,0.14,181,0,None,i7165,181,688.859375,684.2371651785714,-1,0.2689096573208723,4548582
1744999304,1744999552,248,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1917 feature_id 10 batch_size 3446 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.28259382567182184 subsets 91,1917,3446,str\(\'H\'\),2,str\(\'stdev\'\),0.28259382567182184,91,10,0.14,190,0,None,i7166,190,685.5234375,684.4099786931819,-1,0.0858816199376947,4548526
1744999304,1744999571,267,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 32 feature_id 10 batch_size 514 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.1616204667426646 subsets 40,32,514,str\(\'KL\'\),2,str\(\'stdev\'\),0.1616204667426646,40,10,0.14,209,0,None,i7166,209,688.09765625,686.7235054347826,-1,0.2690093457943925,4548468
1744999342,1744999584,242,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1416 feature_id 10 batch_size 2261 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.03007687681540847 subsets 11,1416,2261,str\(\'H\'\),2,str\(\'stdev\'\),0.03007687681540847,11,10,0.13,230,0,None,i7173,230,688.80078125,688.76234375,-1,0.28174454828660433,4548695
1744999400,1744999596,196,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 860 feature_id 10 batch_size 4250 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.4005502357445657 subsets 60,860,4250,str\(\'KL\'\),3,str\(\'stdev\'\),0.4005502357445657,60,10,0.13,181,0,None,i7177,181,687.74609375,687.4728422619048,-1,0.0529595015576324,4548748
1744999451,1744999713,262,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3885 feature_id 10 batch_size 919 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.8375282938871532 subsets 38,3885,919,str\(\'H\'\),1,str\(\'tstat\'\),0.8375282938871532,38,10,0.14,251,0,None,i7173,251,687.6640625,687.6388113839286,-1,0.3873520249221184,4548795
1744999521,1744999744,223,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4034 feature_id 10 batch_size 4173 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.048384241776540875 subsets 2,4034,4173,str\(\'KL\'\),3,str\(\'stdev\'\),0.048384241776540875,2,10,0.13,210,0,None,i7173,210,687.77734375,687.3961588541666,-1,0.208,4548856
1744999582,1744999767,185,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3381 feature_id 10 batch_size 2495 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.42665447570569814 subsets 51,3381,2495,str\(\'H\'\),1,str\(\'stdev\'\),0.42665447570569814,51,10,0.14,169,0,None,i7166,169,687.63671875,687.6081414473684,-1,0.3730841121495327,4549005
1744999585,1744999820,235,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1252 feature_id 10 batch_size 2679 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.8655762632079422 subsets 28,1252,2679,str\(\'KL\'\),2,str\(\'tstat\'\),0.8655762632079422,28,10,0.13,212,0,None,i7168,212,688.80078125,688.73583984375,-1,0.26706542056074767,4548952
1744999580,1744999963,383,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 696 feature_id 10 batch_size 685 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.737049681622535 subsets 77,696,685,str\(\'H\'\),1,str\(\'tstat\'\),0.737049681622535,77,10,0.16,370,0,None,i7177,370,688.07421875,688.04580078125,-1,0.3841121495327103,4548906
1745000289,1745000690,401,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2910 feature_id 10 batch_size 563 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.43522176374064325 subsets 77,2910,563,str\(\'H\'\),1,str\(\'tstat\'\),0.43522176374064325,77,10,0.14,385,0,None,i7185,385,640.00390625,576.5846036585366,-1,0.3718255451713396,4549741
1745000481,1745000733,252,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4406 feature_id 10 batch_size 452 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.001 subsets 16,4406,452,str\(\'KL\'\),2,str\(\'stdev\'\),0.001,16,10,0.14,237,0,None,i7180,237,688.6484375,688.5703125,-1,0.2590903426791277,4549907
1745000721,1745000905,184,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4458 feature_id 10 batch_size 968 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.001 subsets 10,4458,968,str\(\'KL\'\),2,str\(\'stdev\'\),0.001,10,10,0.14,171,0,None,i7170,171,688.89453125,688.8478515625,-1,0.28949532710280373,4550126
1745000941,1745001204,263,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4508 feature_id 10 batch_size 3891 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.001 subsets 3,4508,3891,str\(\'KL\'\),2,str\(\'stdev\'\),0.001,3,10,0.14,247,0,None,i7172,247,688.08984375,688.0528067129629,-1,0.41146417445482864,4550408
1745001344,1745001540,196,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4674 feature_id 10 batch_size 2752 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.999 subsets 25,4674,2752,str\(\'KL\'\),2,str\(\'stdev\'\),0.999,25,10,0.13,184,0,None,i7173,184,689.19921875,688.8214285714286,-1,0.03429283489096573,4550934
1745001687,1745001897,210,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1842 feature_id 10 batch_size 1428 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 24,1842,1428,str\(\'KL\'\),1,str\(\'tstat\'\),0.999,24,10,0.14,171,0,None,i7165,171,687.40625,686.7615234375,-1,0.33809345794392526,4551536
1745002213,1745002554,341,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2050 feature_id 10 batch_size 2972 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.7821804922521923 subsets 1,2050,2972,str\(\'H\'\),1,str\(\'stdev\'\),0.7821804922521923,1,10,0.15,327,0,None,i7168,327,688.46484375,688.45390625,-1,0.9750155763239875,4552091
1745002633,1745003002,369,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 555 feature_id 10 batch_size 2816 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 1,555,2816,str\(\'H\'\),1,str\(\'stdev\'\),0.999,1,10,0.15,353,0,None,i7180,353,689.17578125,689.1656044407895,-1,0.9576199376947041,4552373
1745003112,1745003459,347,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4455 feature_id 10 batch_size 3270 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.4951628820460788 subsets 1,4455,3270,str\(\'KL\'\),1,str\(\'tstat\'\),0.4951628820460788,1,10,0.15,332,0,None,i7173,332,688.72265625,688.7074652777778,-1,0.9530342679127726,4552704
1745003592,1745003887,295,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3143 feature_id 10 batch_size 330 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.45254219201783086 subsets 1,3143,330,str\(\'H\'\),1,str\(\'stdev\'\),0.45254219201783086,1,10,0.15,284,0,None,i7170,284,688.58984375,688.5763608870968,-1,0.9743426791277259,4553157
1745004041,1745004371,330,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 922 feature_id 10 batch_size 2719 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.42575573154881274 subsets 1,922,2719,str\(\'H\'\),1,str\(\'tstat\'\),0.42575573154881274,1,10,0.15,318,0,None,i7169,318,689.046875,689.0330882352941,-1,0.9576573208722742,4553528
1745004523,1745004874,351,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2413 feature_id 10 batch_size 3290 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 1,2413,3290,str\(\'KL\'\),1,str\(\'tstat\'\),0.001,1,10,0.15,337,0,None,i7169,337,687.640625,687.6259765625,-1,0.9590155763239875,4554039
1745004983,1745005315,332,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 727 feature_id 10 batch_size 3112 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.9052331495348503 subsets 1,727,3112,str\(\'KL\'\),1,str\(\'tstat\'\),0.9052331495348503,1,10,0.15,317,0,None,i7167,317,688.25390625,688.2388556985294,-1,0.9445607476635514,4554540
1745005568,1745005923,355,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 933 feature_id 10 batch_size 3568 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.5990098977293434 subsets 1,933,3568,str\(\'KL\'\),1,str\(\'stdev\'\),0.5990098977293434,1,10,0.15,340,0,None,i7173,340,687.8359375,687.72265625,-1,0.9532336448598131,4555041
1745005273,1745006098,825,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 122 feature_id 10 batch_size 147 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 77,122,147,str\(\'H\'\),1,str\(\'tstat\'\),0.999,77,10,0.15,814,0,None,i7170,814,688.1484375,688.1409040178571,-1,0.34620560747663554,4554803
1745005886,1745006202,316,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 438 feature_id 10 batch_size 2896 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 1,438,2896,str\(\'H\'\),1,str\(\'tstat\'\),0.001,1,10,0.15,293,0,None,i7166,293,687.70703125,686.15966796875,-1,0.9494454828660436,4555346
1745006143,1745006512,369,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3320 feature_id 10 batch_size 1868 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 1,3320,1868,str\(\'H\'\),1,str\(\'tstat\'\),0.999,1,10,0.15,352,0,None,i7180,352,687.36328125,687.3489925986842,-1,0.9527352024922119,4555575
1745006563,1745006879,316,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2131 feature_id 10 batch_size 4816 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.12439047289995953 subsets 1,2131,4816,str\(\'KL\'\),1,str\(\'stdev\'\),0.12439047289995953,1,10,0.15,304,0,None,i7169,304,687.921875,687.8654119318181,-1,0.9352897196261682,4555910
1745006984,1745007346,362,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4722 feature_id 10 batch_size 681 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 75,4722,681,str\(\'KL\'\),1,str\(\'tstat\'\),0.999,75,10,0.15,350,0,None,i7168,350,689.59375,689.5719572368421,-1,0.43278504672897194,4556295
1745007344,1745007692,348,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3671 feature_id 10 batch_size 3499 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 1,3671,3499,str\(\'H\'\),1,str\(\'stdev\'\),0.001,1,10,0.15,334,0,None,i7180,334,687.61328125,687.6044921875,-1,0.9343177570093458,4556609
1745008037,1745008391,354,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2844 feature_id 10 batch_size 3119 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.9894852890923383 subsets 1,2844,3119,str\(\'KL\'\),1,str\(\'stdev\'\),0.9894852890923383,1,10,0.15,342,0,None,i7173,342,688.0703125,688.0570101351351,-1,0.9467414330218068,4557298
1745008304,1745008651,347,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4280 feature_id 10 batch_size 3899 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.27179690297723297 subsets 1,4280,3899,str\(\'H\'\),1,str\(\'stdev\'\),0.27179690297723297,1,10,0.15,329,0,None,i7168,329,688.7890625,688.7799107142857,-1,0.946803738317757,4557582
1745008643,1745008987,344,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 453 feature_id 10 batch_size 2345 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 1,453,2345,str\(\'H\'\),1,str\(\'tstat\'\),0.999,1,10,0.15,326,0,None,i7169,326,688.21875,688.2021205357142,-1,0.9686105919003115,4557884
1745009024,1745009363,339,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3746 feature_id 10 batch_size 1974 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.7229108330157689 subsets 1,3746,1974,str\(\'KL\'\),1,str\(\'tstat\'\),0.7229108330157689,1,10,0.15,325,0,None,i7170,325,688.5,688.4860491071429,-1,0.9590155763239875,4558213
1745009745,1745010107,362,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2562 feature_id 10 batch_size 1379 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.3249495505884905 subsets 1,2562,1379,str\(\'H\'\),1,str\(\'tstat\'\),0.3249495505884905,1,10,0.15,349,0,None,i7180,349,689.08203125,687.5718961148649,-1,0.9717507788161994,4558810
1745009404,1745010316,912,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4439 feature_id 10 batch_size 65 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 76,4439,65,str\(\'KL\'\),1,str\(\'stdev\'\),0.999,76,10,0.14,897,0,None,i7169,897,687.79296875,687.7853685461956,-1,0.20654205607476636,4558526
1745009984,1745010338,354,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4056 feature_id 10 batch_size 2680 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 1,4056,2680,str\(\'H\'\),1,str\(\'tstat\'\),0.999,1,10,0.15,340,0,None,i7173,340,687.53125,687.5188802083334,-1,0.9435638629283489,4559010
1745010345,1745010653,308,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 52 feature_id 10 batch_size 361 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 76,52,361,str\(\'KL\'\),1,str\(\'stdev\'\),0.999,76,10,0.14,294,0,None,i7168,294,687.8515625,687.8289794921875,-1,0.1934330218068536,4559301
1745010585,1745010833,248,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3417 feature_id 10 batch_size 107 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.001 subsets 15,3417,107,str\(\'KL\'\),3,str\(\'stdev\'\),0.001,15,10,0.14,233,0,None,i7170,233,688.52734375,688.5042067307693,-1,0.2786666666666667,4559514
1745010926,1745011259,333,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 10 batch_size 1588 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 1,5000,1588,str\(\'KL\'\),1,str\(\'stdev\'\),0.999,1,10,0.15,317,0,None,i7168,317,689.43359375,689.4163602941177,-1,0.9644984423676013,4559830
1745011155,1745011499,344,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 557 feature_id 10 batch_size 1274 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 79,557,1274,str\(\'H\'\),1,str\(\'tstat\'\),0.999,79,10,0.14,332,0,None,i7169,332,689.453125,689.4322916666666,-1,0.39688473520249223,4560058
1745011345,1745011608,263,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 10 batch_size 385 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.999 subsets 1,5000,385,str\(\'H\'\),2,str\(\'stdev\'\),0.999,1,10,0.14,248,0,None,i7168,248,689.26953125,689.2447916666666,-1,0.4845482866043614,4560254
1745012144,1745012164,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3239 feature_id 10 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 78,3239,1,str\(\'KL\'\),1,str\(\'tstat\'\),0.999,78,10,None,None,1,None,i7185,,,,,,4560953
1745011725,1745012199,474,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1665 feature_id 10 batch_size 405 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.999 subsets 96,1665,405,str\(\'H\'\),2,str\(\'stdev\'\),0.999,96,10,0.13,459,0,None,i7168,459,688.55078125,688.5231119791666,-1,0.1867289719626168,4560600
1745012449,1745012469,20,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4519 feature_id 10 batch_size 1 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 85,4519,1,str\(\'KL\'\),1,str\(\'tstat\'\),0.999,85,10,None,None,1,None,i7173,,,,,,4561224
1745012826,1745013061,235,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1567 feature_id 10 batch_size 192 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.464108679809302 subsets 28,1567,192,str\(\'H\'\),2,str\(\'stdev\'\),0.464108679809302,28,10,0.14,219,0,None,i7170,219,688.78515625,688.7522786458334,-1,0.22728971962616823,4561526
1745013196,1745013451,255,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1962 feature_id 10 batch_size 298 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.8901269017481991 subsets 49,1962,298,str\(\'H\'\),2,str\(\'stdev\'\),0.8901269017481991,49,10,0.15,237,0,None,i7170,237,688.53125,688.4908353365385,-1,0.21537694704049845,4561831
1745013544,1745013835,291,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 566 feature_id 10 batch_size 110 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.7556300997770735 subsets 46,566,110,str\(\'H\'\),2,str\(\'tstat\'\),0.7556300997770735,46,10,0.14,274,0,None,i7169,274,688.69921875,688.6584635416667,-1,0.24809968847352024,4562111
1745013916,1745014116,200,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4342 feature_id 10 batch_size 296 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.999 subsets 33,4342,296,str\(\'KL\'\),2,str\(\'stdev\'\),0.999,33,10,0.14,186,0,None,i7168,186,687.86328125,687.8225446428571,-1,0.21393146417445483,4562427
1745014307,1745014644,337,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2320 feature_id 10 batch_size 895 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.5559923732171743 subsets 1,2320,895,str\(\'H\'\),1,str\(\'stdev\'\),0.5559923732171743,1,10,0.15,323,0,None,i7169,323,688.734375,688.6880580357143,-1,0.9676760124610592,4562752
1745015086,1745015553,467,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4464 feature_id 10 batch_size 682 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 84,4464,682,str\(\'KL\'\),1,str\(\'tstat\'\),0.999,84,10,0.16,454,0,None,i7169,454,687.57421875,687.5587565104166,-1,0.42492211838006233,4563412
1745015477,1745015714,237,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4490 feature_id 10 batch_size 522 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.999 subsets 29,4490,522,str\(\'H\'\),2,str\(\'stdev\'\),0.999,29,10,0.14,222,0,None,i7173,222,687.8046875,687.76375,-1,0.18213084112149533,4563744
1745015866,1745016246,380,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 201 feature_id 10 batch_size 2029 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.5362977459626854 subsets 1,201,2029,str\(\'H\'\),1,str\(\'stdev\'\),0.5362977459626854,1,10,0.15,364,0,None,i7170,364,688.56640625,688.5561899038462,-1,0.9611464174454829,4564068
1745016167,1745016541,374,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 10 batch_size 540 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 1,5000,540,str\(\'H\'\),1,str\(\'tstat\'\),0.001,1,10,0.15,361,0,None,i7170,361,689.4453125,689.4314903846154,-1,0.9709781931464174,4564301
1745016487,1745016768,281,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1946 feature_id 10 batch_size 1482 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 82,1946,1482,str\(\'KL\'\),1,str\(\'tstat\'\),0.999,82,10,0.14,256,0,None,i7185,256,601.78125,572.9091796875,-1,0.2400747663551402,4564539
1745016857,1745017197,340,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 10 batch_size 2644 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 1,5000,2644,str\(\'KL\'\),1,str\(\'stdev\'\),0.001,1,10,0.15,325,0,None,i7173,325,687.7734375,687.7561383928571,-1,0.9635015576323988,4564823
1745017147,1745017515,368,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 10 batch_size 4115 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 1,1,4115,str\(\'KL\'\),1,str\(\'stdev\'\),0.999,1,10,0.15,354,0,None,i7173,354,687.7109375,687.700041118421,-1,0.9493582554517134,4565045
1745017448,1745017723,275,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2577 feature_id 10 batch_size 4878 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.999 subsets 1,2577,4878,str\(\'KL\'\),2,str\(\'stdev\'\),0.999,1,10,0.14,258,0,None,i7185,258,682.921875,615.0694754464286,-1,0.46137071651090344,4565285
1745017768,1745018101,333,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 10 batch_size 3705 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 1,5000,3705,str\(\'H\'\),1,str\(\'stdev\'\),0.999,1,10,0.15,320,0,None,i7173,320,688.7421875,688.7273667279412,-1,0.9446230529595016,4565551
1745018027,1745018263,236,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 10 batch_size 324 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.999 subsets 1,5000,324,str\(\'KL\'\),3,str\(\'tstat\'\),0.999,1,10,0.14,219,0,None,i7170,219,687.80859375,687.78173828125,-1,0.28261682242990654,4565780
1745018467,1745018819,352,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 10 batch_size 4644 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 1,5000,4644,str\(\'KL\'\),1,str\(\'stdev\'\),0.999,1,10,0.15,336,0,None,i7168,336,689.40234375,689.3727213541666,-1,0.9588660436137072,4566161
1745018807,1745019146,339,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 10 batch_size 1461 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 1,5000,1461,str\(\'KL\'\),1,str\(\'stdev\'\),0.001,1,10,0.15,322,0,None,i7170,322,687.75390625,687.7411830357142,-1,0.9581931464174455,4566439
1745019128,1745019461,333,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 10 batch_size 2201 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 1,5000,2201,str\(\'KL\'\),1,str\(\'stdev\'\),0.001,1,10,0.15,321,0,None,i7170,321,687.984375,687.9739955357143,-1,0.9624548286604362,4566684
1745019529,1745019897,368,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4288 feature_id 10 batch_size 1112 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 1,4288,1112,str\(\'H\'\),1,str\(\'tstat\'\),0.999,1,10,0.15,351,0,None,i7180,351,688.79296875,688.7774465460526,-1,0.972772585669782,4566975
1745020088,1745020275,187,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 10 batch_size 5000 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.001 subsets 100,5000,5000,str\(\'H\'\),3,str\(\'tstat\'\),0.001,100,10,0.12,170,0,None,i7169,170,688.52734375,688.1589226973684,-1,0.12461059190031153,4567391
1745019857,1745020292,435,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1841 feature_id 10 batch_size 387 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 83,1841,387,str\(\'KL\'\),1,str\(\'tstat\'\),0.001,83,10,0.14,419,0,None,i7170,419,688.0859375,688.0661399147727,-1,0.255588785046729,4567229
1745020397,1745020618,221,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 10 batch_size 589 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.999 subsets 1,5000,589,str\(\'KL\'\),3,str\(\'tstat\'\),0.999,1,10,0.14,207,0,None,i7169,207,688.203125,688.1713654891304,-1,0.26422429906542055,4567626
1745020809,1745021067,258,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 10 batch_size 188 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.999 subsets 100,5000,188,str\(\'H\'\),3,str\(\'tstat\'\),0.999,100,10,0.15,240,0,None,i7180,240,687.22265625,687.1953125,-1,0.2749532710280374,4567952
1745021088,1745021333,245,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1865 feature_id 10 batch_size 737 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.999 subsets 79,1865,737,str\(\'H\'\),2,str\(\'tstat\'\),0.999,79,10,0.14,231,0,None,i7167,231,689.2890625,689.2509014423077,-1,0.2965233644859813,4568208
1745021430,1745021621,191,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 10 batch_size 4403 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.999 subsets 1,5000,4403,str\(\'KL\'\),2,str\(\'stdev\'\),0.999,1,10,0.14,174,0,None,i7168,174,688.62109375,688.571484375,-1,0.4688847352024922,4568479
1745022269,1745022493,224,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 10 batch_size 841 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.999 subsets 1,5000,841,str\(\'KL\'\),2,str\(\'tstat\'\),0.999,1,10,0.15,207,0,None,i7169,207,688.79296875,682.1372282608696,-1,0.48859813084112147,4569097
1745021990,1745022556,566,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 684 feature_id 10 batch_size 180 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.001 subsets 89,684,180,str\(\'KL\'\),2,str\(\'tstat\'\),0.001,89,10,0.13,551,0,None,i7185,551,687.35546875,683.8081223060345,-1,0.14130841121495327,4568898
1745022571,1745022584,13,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 777 feature_id 10 batch_size 1 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 1,777,1,str\(\'H\'\),1,str\(\'stdev\'\),0.001,1,10,None,None,1,None,i7185,,,,,,4569296
1745022889,1745023119,230,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3148 feature_id 10 batch_size 1464 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.999 subsets 100,3148,1464,str\(\'H\'\),3,str\(\'tstat\'\),0.999,100,10,0.14,214,0,None,i7180,214,688.41796875,688.3517252604166,-1,0.2371588785046729,4569533
1745023280,1745023509,229,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 10 batch_size 372 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.999 subsets 100,5000,372,str\(\'H\'\),3,str\(\'tstat\'\),0.999,100,10,0.14,218,0,None,i7170,218,688.0546875,688.0198567708334,-1,0.28276635514018694,4569838
1745023609,1745023941,332,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2059 feature_id 10 batch_size 799 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 1,2059,799,str\(\'KL\'\),1,str\(\'tstat\'\),0.999,1,10,0.15,317,0,None,i7170,317,689.1640625,687.6537224264706,-1,0.9707289719626169,4570108
1745023970,1745024215,245,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 10 batch_size 155 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.001 subsets 1,5000,155,str\(\'H\'\),2,str\(\'tstat\'\),0.001,1,10,0.14,231,0,None,i7168,231,689.390625,689.3547175480769,-1,0.48499688473520247,4570440
1745024270,1745024639,369,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 10 batch_size 1240 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 1,5000,1240,str\(\'H\'\),1,str\(\'stdev\'\),0.001,1,10,0.15,356,0,None,i7180,356,689.390625,689.376953125,-1,0.964,4570682
1745024710,1745024970,260,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 10 batch_size 2110 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.999 subsets 1,5000,2110,str\(\'KL\'\),2,str\(\'tstat\'\),0.999,1,10,0.15,246,0,None,i7169,246,688.08984375,688.0567129629629,-1,0.4746542056074766,4571035
1745025151,1745025380,229,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2939 feature_id 10 batch_size 3333 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.001 subsets 94,2939,3333,str\(\'H\'\),3,str\(\'stdev\'\),0.001,94,10,0.14,214,0,None,i7170,214,687.82421875,687.80078125,-1,0.33226168224299063,4571354
1745025531,1745025892,361,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 10 batch_size 40 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 1,5000,40,str\(\'H\'\),1,str\(\'stdev\'\),0.001,1,10,0.15,348,0,None,i7185,348,687.29296875,687.2777660472973,-1,0.9151526479750779,4571611
1745025971,1745026248,277,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 10 batch_size 2477 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.999 subsets 1,5000,2477,str\(\'KL\'\),2,str\(\'stdev\'\),0.999,1,10,0.14,264,0,None,i7180,264,687.92578125,687.8962823275862,-1,0.4689470404984424,4571897
1745026351,1745026675,324,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4838 feature_id 10 batch_size 1691 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 82,4838,1691,str\(\'H\'\),1,str\(\'tstat\'\),0.999,82,10,0.14,310,0,None,i7170,310,689.10546875,688.6061789772727,-1,0.4003613707165109,4572154
1745026730,1745026952,222,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 10 batch_size 1158 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.999 subsets 100,5000,1158,str\(\'H\'\),3,str\(\'tstat\'\),0.999,100,10,0.13,210,0,None,i7170,210,688.03515625,687.9982096354166,-1,0.27811838006230527,4572447
1745027181,1745027457,276,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 10 batch_size 3272 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.999 subsets 1,5000,3272,str\(\'KL\'\),2,str\(\'stdev\'\),0.999,1,10,0.14,261,0,None,i7173,261,687.69921875,687.6694504310345,-1,0.4643613707165109,4572793
1745027570,1745027770,200,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4594 feature_id 10 batch_size 102 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.999 subsets 27,4594,102,str\(\'KL\'\),3,str\(\'stdev\'\),0.999,27,10,0.14,187,0,None,i7169,187,688.7109375,688.6839657738095,-1,0.20209345794392522,4573094
1745027901,1745028110,209,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2913 feature_id 10 batch_size 105 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.001 subsets 49,2913,105,str\(\'H\'\),3,str\(\'tstat\'\),0.001,49,10,0.14,195,0,None,i7173,195,687.6640625,687.62890625,-1,0.14523364485981308,4573356
1745028432,1745028689,257,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4464 feature_id 10 batch_size 3038 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.999 subsets 39,4464,3038,str\(\'KL\'\),2,str\(\'tstat\'\),0.999,39,10,0.14,245,0,None,i7180,245,688.60546875,688.5487557870371,-1,0.3028535825545171,4573746
1745028861,1745029076,215,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3477 feature_id 10 batch_size 873 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.2715996473609908 subsets 35,3477,873,str\(\'KL\'\),3,str\(\'stdev\'\),0.2715996473609908,35,10,0.14,201,0,None,i7170,201,687.71875,687.6841032608696,-1,0.18493457943925234,4574070
1745029432,1745029720,288,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 80 feature_id 10 batch_size 197 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.999 subsets 1,80,197,str\(\'H\'\),2,str\(\'tstat\'\),0.999,1,10,0.15,275,0,None,i7185,275,688.25390625,688.21953125,-1,0.4881495327102804,4574484
1745030091,1745030249,158,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3096 feature_id 10 batch_size 290 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.001 subsets 34,3096,290,str\(\'H\'\),3,str\(\'stdev\'\),0.001,34,10,0.14,145,0,None,i7168,145,688.19921875,688.16796875,-1,0.27102803738317754,4574974
1745030432,1745030679,247,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1269 feature_id 10 batch_size 947 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.999 subsets 50,1269,947,str\(\'H\'\),2,str\(\'tstat\'\),0.999,50,10,0.14,232,0,None,i7170,232,689.48828125,689.4020432692307,-1,0.283214953271028,4575204
1745030851,1745031146,295,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3896 feature_id 10 batch_size 932 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 72,3896,932,str\(\'KL\'\),1,str\(\'tstat\'\),0.999,72,10,0.14,282,0,None,i7169,282,688.7890625,688.7597026209677,-1,0.404797507788162,4575498
1745031351,1745031534,183,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4655 feature_id 10 batch_size 1355 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.999 subsets 74,4655,1355,str\(\'KL\'\),2,str\(\'tstat\'\),0.999,74,10,0.14,168,0,None,i7168,168,688.33203125,688.2796052631579,-1,0.2621308411214953,4575850
1745031772,1745032415,643,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4326 feature_id 10 batch_size 417 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 81,4326,417,str\(\'H\'\),1,str\(\'tstat\'\),0.999,81,10,0.15,628,0,None,i7173,628,688.8671875,688.8578125,-1,0.43128971962616824,4576161
1745032292,1745032495,203,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 917 feature_id 10 batch_size 3373 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 94,917,3373,str\(\'KL\'\),1,str\(\'tstat\'\),0.001,94,10,0.13,191,0,None,i7170,191,688.171875,687.8698508522727,-1,0.04203115264797508,4576529
1745032672,1745032907,235,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 545 feature_id 10 batch_size 322 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.001 subsets 51,545,322,str\(\'KL\'\),3,str\(\'stdev\'\),0.001,51,10,0.14,222,0,None,i7170,222,688.97265625,688.94640625,-1,0.2800373831775701,4576808
1745033033,1745033283,250,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4210 feature_id 10 batch_size 3030 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.999 subsets 54,4210,3030,str\(\'KL\'\),3,str\(\'tstat\'\),0.999,54,10,0.14,236,0,None,i7173,236,688.375,688.3366887019231,-1,0.33981308411214955,4577042
1745033474,1745033737,263,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3260 feature_id 10 batch_size 3747 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.001 subsets 100,3260,3747,str\(\'H\'\),3,str\(\'stdev\'\),0.001,100,10,0.13,245,0,None,i7180,245,688.15234375,687.6644965277778,-1,0.3268411214953271,4577319
1745033933,1745034170,237,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4882 feature_id 10 batch_size 1368 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.999 subsets 44,4882,1368,str\(\'H\'\),2,str\(\'tstat\'\),0.999,44,10,0.13,225,0,None,i7185,225,688.41796875,688.37171875,-1,0.2478380062305296,4577613
1745034294,1745034498,204,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1222 feature_id 10 batch_size 2861 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 76,1222,2861,str\(\'KL\'\),1,str\(\'stdev\'\),0.999,76,10,0.13,190,0,None,i7180,190,687.8671875,687.5478050595239,-1,0.035651090342679125,4577856
1745034612,1745034856,244,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4184 feature_id 10 batch_size 5000 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 100,4184,5000,str\(\'H\'\),1,str\(\'stdev\'\),0.001,100,10,0.12,232,0,None,i7180,232,686.39453125,685.9523737980769,-1,0.18691588785046728,4578084
1745035043,1745035320,277,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 180 feature_id 10 batch_size 689 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.999 subsets 3,180,689,str\(\'H\'\),2,str\(\'stdev\'\),0.999,3,10,0.15,260,0,None,i7180,260,688.6640625,688.6298828125,-1,0.45588785046728975,4578385
1745035395,1745035552,157,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1101 feature_id 10 batch_size 249 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.001 subsets 12,1101,249,str\(\'H\'\),3,str\(\'stdev\'\),0.001,12,10,0.14,143,0,None,i7168,143,689.09375,687.2228860294117,-1,0.2729595015576324,4578642
1745035814,1745036182,368,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 10 batch_size 1797 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 1,5000,1797,str\(\'KL\'\),1,str\(\'stdev\'\),0.001,1,10,0.15,351,0,None,i7173,351,687.71875,687.7074424342105,-1,0.960361370716511,4578907
1745036234,1745036567,333,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 10 batch_size 4238 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 1,1,4238,str\(\'H\'\),1,str\(\'stdev\'\),0.001,1,10,0.15,322,0,None,i7173,322,688.5390625,688.5301339285714,-1,0.9256697819314642,4579186
1745036694,1745036963,269,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2076 feature_id 10 batch_size 314 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.001 subsets 48,2076,314,str\(\'KL\'\),2,str\(\'stdev\'\),0.001,48,10,0.14,257,0,None,i7185,257,687.57421875,687.5460379464286,-1,0.2802866043613707,4579482
1745037094,1745037316,222,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3017 feature_id 10 batch_size 400 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.999 subsets 8,3017,400,str\(\'H\'\),3,str\(\'stdev\'\),0.999,8,10,0.14,209,0,None,i7173,209,688.41796875,688.3578464673913,-1,0.18940809968847352,4579731
1745037455,1745037810,355,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1311 feature_id 10 batch_size 560 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 2,1311,560,str\(\'KL\'\),1,str\(\'stdev\'\),0.999,2,10,0.15,338,0,None,i7180,338,687.96484375,687.0172526041666,-1,0.9729719626168224,4579942
1745037953,1745038165,212,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4900 feature_id 10 batch_size 4674 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.001 subsets 81,4900,4674,str\(\'H\'\),2,str\(\'stdev\'\),0.001,81,10,0.13,201,0,None,i7170,201,688.390625,688.3459578804348,-1,0.29121495327102803,4580262
1745038634,1745038871,237,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3667 feature_id 10 batch_size 693 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.999 subsets 52,3667,693,str\(\'H\'\),3,str\(\'tstat\'\),0.999,52,10,0.14,223,0,None,i7173,223,688.6875,688.6578125,-1,0.2514267912772586,4580715
1745039015,1745039210,195,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 10 batch_size 1484 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.999 subsets 1,5000,1484,str\(\'H\'\),2,str\(\'tstat\'\),0.999,1,10,0.14,179,0,None,i7169,179,687.453125,687.3541015625,-1,0.480797507788162,4580967
1745039374,1745039620,246,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 10 batch_size 4397 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 1,5000,4397,str\(\'KL\'\),1,str\(\'stdev\'\),0.999,1,10,0.15,232,0,None,i7169,232,688.8828125,688.8659855769231,-1,0.9613333333333334,4581216
1745039725,1745040087,362,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3609 feature_id 10 batch_size 370 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 1,3609,370,str\(\'KL\'\),1,str\(\'stdev\'\),0.001,1,10,0.15,348,0,None,i7185,348,687.59765625,687.5850929054054,-1,0.9709781931464174,4581432
1745040060,1745040271,211,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1907 feature_id 10 batch_size 874 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.999 subsets 51,1907,874,str\(\'H\'\),3,str\(\'stdev\'\),0.999,51,10,0.13,195,0,None,i7180,195,688.8125,688.7775213068181,-1,0.09801869158878505,4581626
1745040434,1745040607,173,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4051 feature_id 10 batch_size 1841 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.001 subsets 94,4051,1841,str\(\'H\'\),3,str\(\'tstat\'\),0.001,94,10,0.13,159,0,None,i7170,159,689.90234375,684.9461805555555,-1,0.09176323987538941,4581847
1745040855,1745041038,183,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2714 feature_id 10 batch_size 3453 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.001 subsets 85,2714,3453,str\(\'H\'\),3,str\(\'stdev\'\),0.001,85,10,0.14,147,0,None,i7168,147,688.015625,674.1484375,-1,0.34422429906542057,4582080
1745041215,1745041434,219,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3600 feature_id 10 batch_size 1773 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.001 subsets 1,3600,1773,str\(\'KL\'\),2,str\(\'stdev\'\),0.001,1,10,0.14,205,0,None,i7173,205,688.2578125,688.2257133152174,-1,0.48605607476635515,4582307
1745041634,1745041824,190,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 10 batch_size 3721 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.999 subsets 1,1,3721,str\(\'KL\'\),2,str\(\'stdev\'\),0.999,1,10,0.15,176,0,None,i7170,176,688.44921875,688.405078125,-1,0.4851339563862928,4582554
1745041994,1745042134,140,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1141 feature_id 10 batch_size 3456 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.999 subsets 19,1141,3456,str\(\'KL\'\),3,str\(\'stdev\'\),0.999,19,10,0.14,129,0,None,i7170,129,689.21875,688.91953125,-1,0.08613084112149533,4582787
1745042495,1745042764,269,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 10 batch_size 3599 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.001 subsets 1,1,3599,str\(\'KL\'\),2,str\(\'tstat\'\),0.001,1,10,0.14,257,0,None,i7173,257,688.70703125,688.6657366071429,-1,0.46841121495327104,4583069
1745042975,1745043198,223,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3921 feature_id 10 batch_size 3193 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.001 subsets 78,3921,3193,str\(\'H\'\),2,str\(\'tstat\'\),0.001,78,10,0.13,206,0,None,i7173,206,689.34375,689.0703125,-1,0.07957632398753894,4583356
1745043415,1745043631,216,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4315 feature_id 10 batch_size 1095 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.001 subsets 21,4315,1095,str\(\'H\'\),3,str\(\'stdev\'\),0.001,21,10,0.15,205,0,None,i7173,205,688.09765625,688.0704823369565,-1,0.2752772585669782,4583627
1745043955,1745044147,192,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2041 feature_id 10 batch_size 122 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.999 subsets 37,2041,122,str\(\'H\'\),3,str\(\'tstat\'\),0.999,37,10,0.14,180,0,None,i7170,180,688.36328125,678.5411086309524,-1,0.2523613707165109,4583959
1745044317,1745044565,248,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3061 feature_id 10 batch_size 2444 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.999 subsets 52,3061,2444,str\(\'H\'\),3,str\(\'tstat\'\),0.999,52,10,0.14,225,0,None,i7173,225,687.8828125,585.13046875,-1,0.3045482866043614,4584275
1745044835,1745045091,256,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4465 feature_id 10 batch_size 1798 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.999 subsets 82,4465,1798,str\(\'H\'\),2,str\(\'tstat\'\),0.999,82,10,0.13,237,0,None,i7170,237,612.3125,574.9613882211538,-1,0.2887601246105919,4584657
1745045216,1745045517,301,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3492 feature_id 10 batch_size 1144 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 85,3492,1144,str\(\'KL\'\),1,str\(\'tstat\'\),0.001,85,10,0.14,282,0,None,i7185,282,632.75,576.6466733870968,-1,0.2280872274143302,4584906
1745045636,1745045886,250,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1122 feature_id 10 batch_size 1668 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.001 subsets 70,1122,1668,str\(\'KL\'\),3,str\(\'tstat\'\),0.001,70,10,0.13,231,0,None,i7173,231,601.84375,571.9200721153846,-1,0.18706542056074765,4585152
1745046237,1745046468,231,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3092 feature_id 10 batch_size 1625 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 24,3092,1625,str\(\'KL\'\),1,str\(\'stdev\'\),0.001,24,10,0.14,208,0,None,i7170,208,634.234375,583.277004076087,-1,0.32398753894080995,4585474
1745046676,1745046873,197,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1929 feature_id 10 batch_size 3500 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.999 subsets 89,1929,3500,str\(\'KL\'\),3,str\(\'stdev\'\),0.999,89,10,0.14,173,0,None,i7170,173,632.1953125,590.5603515625,-1,0.21806853582554517,4585739
1745047259,1745047480,221,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1749 feature_id 10 batch_size 3282 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.001 subsets 19,1749,3282,str\(\'KL\'\),3,str\(\'stdev\'\),0.001,19,10,0.13,208,0,None,i7185,208,687.328125,584.6898777173913,-1,0.2862803738317757,4586042
1745047757,1745047941,184,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4148 feature_id 10 batch_size 2766 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.001 subsets 51,4148,2766,str\(\'KL\'\),3,str\(\'tstat\'\),0.001,51,10,0.13,160,0,None,i7170,160,667.49609375,587.9268663194445,-1,0.17233644859813085,4586332
1745048397,1745048658,261,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2330 feature_id 10 batch_size 4130 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.999 subsets 1,2330,4130,str\(\'KL\'\),2,str\(\'stdev\'\),0.999,1,10,0.15,245,0,None,i7185,245,685.96484375,625.8773148148148,-1,0.48973208722741435,4586695
1745048897,1745049165,268,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 10 batch_size 4016 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.001 subsets 1,1,4016,str\(\'KL\'\),2,str\(\'stdev\'\),0.001,1,10,0.15,247,0,None,i7173,247,679.203125,642.5559895833334,-1,0.47552647975077883,4586988
1745049397,1745049603,206,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2829 feature_id 10 batch_size 4874 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.999 subsets 33,2829,4874,str\(\'H\'\),3,str\(\'stdev\'\),0.999,33,10,0.12,183,0,None,i7170,183,666.328125,580.9760044642857,-1,0.1822056074766355,4587276
1745049937,1745050169,232,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 355 feature_id 10 batch_size 1409 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.001 subsets 23,355,1409,str\(\'H\'\),3,str\(\'stdev\'\),0.001,23,10,0.14,212,0,None,i7170,212,651.21875,590.1041666666666,-1,0.2911277258566978,4587589
1745050517,1745050733,216,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2975 feature_id 10 batch_size 206 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.999 subsets 40,2975,206,str\(\'H\'\),3,str\(\'stdev\'\),0.999,40,10,0.14,202,0,None,i7180,202,687.59375,684.1029211956521,-1,0.20022429906542055,4587899
1745050948,1745051211,263,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1020 feature_id 10 batch_size 3783 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.999 subsets 1,1020,3783,str\(\'H\'\),2,str\(\'stdev\'\),0.999,1,10,0.15,246,0,None,i7180,246,688.43359375,688.4006076388889,-1,0.4936323987538941,4588140
1745051458,1745051726,268,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 10 batch_size 4273 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.001 subsets 1,1,4273,str\(\'KL\'\),2,str\(\'stdev\'\),0.001,1,10,0.15,246,0,None,i7185,246,677.51953125,594.9563078703703,-1,0.4543052959501558,4588400
1745052045,1745052312,267,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1238 feature_id 10 batch_size 4468 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.001 subsets 1,1238,4468,str\(\'KL\'\),2,str\(\'stdev\'\),0.001,1,10,0.14,244,0,None,i7185,244,674.70703125,611.9878472222222,-1,0.47617445482866044,4588729
1745052577,1745052804,227,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1257 feature_id 10 batch_size 3405 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.001 subsets 1,1257,3405,str\(\'KL\'\),2,str\(\'stdev\'\),0.001,1,10,0.14,203,0,None,i7170,203,624.58984375,573.5900135869565,-1,0.48424922118380065,4589002
1745053157,1745053335,178,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 703 feature_id 10 batch_size 2830 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.999 subsets 89,703,2830,str\(\'H\'\),2,str\(\'stdev\'\),0.999,89,10,0.13,150,0,None,i7170,150,686.38671875,590.3191636029412,-1,0.03526479750778816,4589318
1745053842,1745054250,408,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 284 feature_id 10 batch_size 904 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 82,284,904,str\(\'H\'\),1,str\(\'tstat\'\),0.999,82,10,0.14,367,0,None,i7185,367,610.90234375,596.4291866987179,-1,0.38062305295950155,4589622
1745054294,1745054606,312,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3904 feature_id 10 batch_size 191 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 30,3904,191,str\(\'H\'\),1,str\(\'tstat\'\),0.999,30,10,0.14,263,0,None,i7185,263,611.07421875,587.581088362069,-1,0.39271028037383177,4589864
1745054798,1745055013,215,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 898 feature_id 10 batch_size 101 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.999 subsets 100,898,101,str\(\'KL\'\),3,str\(\'tstat\'\),0.999,100,10,0.14,203,0,None,i7185,203,686.1875,632.4363111413044,-1,0.26681619937694706,4590200
1745055360,1745055563,203,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4762 feature_id 10 batch_size 954 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.001 subsets 21,4762,954,str\(\'H\'\),3,str\(\'tstat\'\),0.001,21,10,0.13,186,0,None,i7180,186,688.78125,688.7392113095239,-1,0.11887850467289719,4590511
1745055868,1745056053,185,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4304 feature_id 10 batch_size 112 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.999 subsets 3,4304,112,str\(\'H\'\),3,str\(\'tstat\'\),0.999,3,10,0.14,170,0,None,i7183,170,689.01171875,688.97578125,-1,0.2695700934579439,4590794
1745056419,1745056759,340,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4105 feature_id 10 batch_size 2434 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 1,4105,2434,str\(\'H\'\),1,str\(\'tstat\'\),0.999,1,10,0.15,326,0,None,i7185,326,684.62109375,658.7186383928571,-1,0.9456573208722742,4591110
1745057059,1745057327,268,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3918 feature_id 10 batch_size 2809 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.999 subsets 1,3918,2809,str\(\'H\'\),2,str\(\'stdev\'\),0.999,1,10,0.14,247,0,None,i7185,247,605.75,571.4798900462963,-1,0.46513395638629285,4591420
1745057599,1745057846,247,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 10 batch_size 4695 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.999 subsets 1,1,4695,str\(\'H\'\),2,str\(\'stdev\'\),0.999,1,10,0.14,236,0,None,i7183,236,688.3984375,688.3572716346154,-1,0.5016323987538941,4591708
1745058420,1745058759,339,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1783 feature_id 10 batch_size 4693 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 1,1783,4693,str\(\'KL\'\),1,str\(\'tstat\'\),0.001,1,10,0.15,326,0,None,i7183,326,687.6328125,687.6108258928572,-1,0.9692461059190031,4592154
1745058820,1745059168,348,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 10 batch_size 303 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 1,5000,303,str\(\'KL\'\),1,str\(\'tstat\'\),0.999,1,10,0.15,332,0,None,i7185,332,680.7265625,585.0862630208334,-1,0.9718753894080997,4592377
1745059421,1745059663,242,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1029 feature_id 10 batch_size 122 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.001 subsets 40,1029,122,str\(\'KL\'\),3,str\(\'stdev\'\),0.001,40,10,0.14,224,0,None,i7180,224,688.50390625,688.4759375,-1,0.2523613707165109,4592689
1745060010,1745060363,353,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 10 batch_size 1147 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 1,1,1147,str\(\'KL\'\),1,str\(\'stdev\'\),0.999,1,10,0.15,338,0,None,i7185,338,660.33984375,588.2169053819445,-1,0.9612959501557632,4593012
1745060466,1745060799,333,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 10 batch_size 4484 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 1,1,4484,str\(\'KL\'\),1,str\(\'tstat\'\),0.999,1,10,0.15,319,0,None,i7185,319,621.28515625,576.9222196691177,-1,0.9249719626168225,4593235
1745061085,1745061344,259,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4432 feature_id 10 batch_size 1923 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.001 subsets 1,4432,1923,str\(\'KL\'\),2,str\(\'tstat\'\),0.001,1,10,0.14,245,0,None,i7183,245,689.4140625,689.3799189814815,-1,0.4792523364485981,4593576
1745061510,1745061835,325,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 10 batch_size 671 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 1,1,671,str\(\'H\'\),1,str\(\'stdev\'\),0.001,1,10,0.15,315,0,None,i7183,315,689.44140625,689.427734375,-1,0.9700934579439252,4593816
1745062060,1745062406,346,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 10 batch_size 1566 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 1,1,1566,str\(\'KL\'\),1,str\(\'tstat\'\),0.999,1,10,0.15,330,0,None,i7183,330,688.6953125,688.6774553571429,-1,0.9703052959501558,4594119
1745062680,1745063013,333,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 10 batch_size 2517 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.045632619968194225 subsets 1,1,2517,str\(\'KL\'\),1,str\(\'stdev\'\),0.045632619968194225,1,10,0.15,318,0,None,i7185,318,650.6015625,581.5116038602941,-1,0.9473894080996885,4594441
1745063261,1745063612,351,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 10 batch_size 4925 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 1,5000,4925,str\(\'H\'\),1,str\(\'stdev\'\),0.999,1,10,0.15,337,0,None,i7180,337,687.46875,687.4545355902778,-1,0.9570218068535825,4594745
1745063721,1745063961,240,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4885 feature_id 10 batch_size 4829 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.001 subsets 1,4885,4829,str\(\'KL\'\),2,str\(\'stdev\'\),0.001,1,10,0.14,229,0,None,i7183,229,688.0625,688.02921875,-1,0.4564859813084112,4594986
1745064341,1745064602,261,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1511 feature_id 10 batch_size 439 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.999 subsets 1,1511,439,str\(\'H\'\),2,str\(\'tstat\'\),0.999,1,10,0.15,245,0,None,i7185,245,651.26953125,580.0713252314815,-1,0.4838380062305296,4595304
1745065020,1745065309,289,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 10 batch_size 4286 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 1,1,4286,str\(\'KL\'\),1,str\(\'stdev\'\),0.999,1,10,0.15,256,0,None,i7170,256,588.51171875,568.35546875,-1,0.9364361370716511,4595667
1745065521,1745065714,193,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 947 feature_id 10 batch_size 91 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.001 subsets 24,947,91,str\(\'H\'\),3,str\(\'stdev\'\),0.001,24,10,0.14,184,0,None,i7183,184,688.0546875,688.0275297619048,-1,0.2596760124610592,4595940
1745066241,1745066437,196,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2078 feature_id 10 batch_size 4388 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.999 subsets 83,2078,4388,str\(\'H\'\),3,str\(\'stdev\'\),0.999,83,10,0.13,179,0,None,i7185,179,675.62109375,589.3697265625,-1,0.054679127725856695,4596302
1745066731,1745067062,331,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 93 feature_id 10 batch_size 3987 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.999 subsets 1,93,3987,str\(\'KL\'\),1,str\(\'tstat\'\),0.999,1,10,0.15,316,0,None,i7183,316,687.5703125,687.5539981617648,-1,0.9687352024922118,4596571
1745067407,1745067746,339,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 10 batch_size 3374 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 1,1,3374,str\(\'KL\'\),1,str\(\'stdev\'\),0.999,1,10,0.15,311,0,None,i7185,311,604.1484375,571.0199908088235,-1,0.9420934579439252,4596887
1745067902,1745068126,224,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 10 batch_size 4554 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.999 subsets 1,1,4554,str\(\'KL\'\),2,str\(\'stdev\'\),0.999,1,10,0.14,204,0,None,i7183,204,668.1953125,585.0518002717391,-1,0.48581931464174455,4597148
1745068534,1745068741,207,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3499 feature_id 10 batch_size 256 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.001 subsets 67,3499,256,str\(\'H\'\),3,str\(\'stdev\'\),0.001,67,10,0.14,192,0,None,i7183,192,642.72265625,580.4866832386364,-1,0.28391277258566977,4597480
1745069162,1745069415,253,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1583 feature_id 10 batch_size 1118 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.11133160111796349 subsets 1,1583,1118,str\(\'KL\'\),2,str\(\'tstat\'\),0.11133160111796349,1,10,0.15,235,0,None,i7183,235,625.99609375,579.9768629807693,-1,0.487601246105919,4597790
1745070003,1745070244,241,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3323 feature_id 10 batch_size 280 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.3981602361806694 subsets 32,3323,280,str\(\'H\'\),2,str\(\'stdev\'\),0.3981602361806694,32,10,0.14,224,0,None,i7183,224,635.1328125,575.9896875,-1,0.25121495327102805,4598231
1745070542,1745070771,229,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3784 feature_id 10 batch_size 906 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.7444607609024096 subsets 23,3784,906,str\(\'KL\'\),1,str\(\'stdev\'\),0.7444607609024096,23,10,0.14,210,0,None,i7185,210,640.67578125,588.1497961956521,-1,0.26862305295950156,4598478
1745071082,1745071297,215,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4234 feature_id 10 batch_size 212 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.5631430337463584 subsets 32,4234,212,str\(\'KL\'\),3,str\(\'stdev\'\),0.5631430337463584,32,10,0.14,194,0,None,i7183,194,670.765625,582.6887428977273,-1,0.22454828660436138,4598745
1745071742,1745071995,253,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4941 feature_id 10 batch_size 754 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.001 subsets 1,4941,754,str\(\'KL\'\),2,str\(\'tstat\'\),0.001,1,10,0.15,235,0,None,i7183,235,685.96484375,653.0896935096154,-1,0.48245482866043615,4599080
1745072282,1745072553,271,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2460 feature_id 10 batch_size 163 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.001 subsets 47,2460,163,str\(\'KL\'\),2,str\(\'stdev\'\),0.001,47,10,0.14,253,0,None,i7183,253,680.48046875,606.4016462053571,-1,0.26404984423676015,4599368
1745072913,1745073174,261,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1297 feature_id 10 batch_size 2961 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.001 subsets 1,1297,2961,str\(\'KL\'\),2,str\(\'stdev\'\),0.001,1,10,0.14,247,0,None,i7183,247,682.453125,616.683449074074,-1,0.4916510903426791,4599693
1745073683,1745073885,202,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 10 batch_size 3019 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.999 subsets 1,5000,3019,str\(\'H\'\),2,str\(\'tstat\'\),0.999,1,10,0.14,183,0,None,i7173,183,641.2421875,593.688244047619,-1,0.46414953271028037,4600071
1745074404,1745074613,209,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 10 batch_size 1968 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'stdev\'\) significance 0.999 subsets 67,5000,1968,str\(\'KL\'\),3,str\(\'stdev\'\),0.999,67,10,0.14,197,0,None,i7185,197,688.05078125,601.0200639204545,-1,0.14675389408099687,4600416
1745075133,1745075420,287,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 10 batch_size 3712 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 1,1,3712,str\(\'KL\'\),1,str\(\'stdev\'\),0.001,1,10,0.15,273,0,None,i7180,273,688.109375,688.0966145833333,-1,0.9464548286604362,4600771
1745075793,1745076013,220,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2409 feature_id 10 batch_size 3131 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.267687583508693 subsets 35,2409,3131,str\(\'KL\'\),2,str\(\'stdev\'\),0.267687583508693,35,10,0.15,207,0,None,i7183,207,677.88671875,589.0417798913044,-1,0.31212461059190033,4601076
1745076384,1745076645,261,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 10 batch_size 4120 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.001 subsets 1,1,4120,str\(\'KL\'\),2,str\(\'stdev\'\),0.001,1,10,0.15,240,0,None,i7185,240,611.80859375,575.7836538461538,-1,0.4884859813084112,4601346
1745076964,1745077199,235,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 568 feature_id 10 batch_size 178 divergence str\(\'KL\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.495972337384212 subsets 5,568,178,str\(\'KL\'\),3,str\(\'tstat\'\),0.495972337384212,5,10,0.13,219,0,None,i7185,219,633.38671875,582.5849609375,-1,0.23289719626168223,4601627
1745077624,1745077885,261,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 360 feature_id 10 batch_size 1394 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.001 subsets 1,360,1394,str\(\'KL\'\),2,str\(\'tstat\'\),0.001,1,10,0.15,245,0,None,i7185,245,594.60546875,571.5962094907408,-1,0.48638006230529596,4601937
1745078364,1745078599,235,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2073 feature_id 10 batch_size 75 divergence str\(\'H\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.5686960982778813 subsets 4,2073,75,str\(\'H\'\),1,str\(\'stdev\'\),0.5686960982778813,4,10,0.14,219,0,None,i7183,219,688.73046875,688.7081705729166,-1,0.30093457943925234,4602307
1745079164,1745079331,167,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 250 feature_id 10 batch_size 494 divergence str\(\'H\'\) detect_batch 3 statistic str\(\'tstat\'\) significance 0.001 subsets 30,250,494,str\(\'H\'\),3,str\(\'tstat\'\),0.001,30,10,0.13,156,0,None,i7183,156,688.265625,688.2183159722222,-1,0.14158255451713395,4602666
1745079725,1745080001,276,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 10 batch_size 1595 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.001 subsets 1,5000,1595,str\(\'KL\'\),2,str\(\'tstat\'\),0.001,1,10,0.14,264,0,None,i7185,264,687.24609375,681.7386853448276,-1,0.4770093457943925,4602919
1745080357,1745080592,235,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1118 feature_id 10 batch_size 236 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.001 subsets 31,1118,236,str\(\'H\'\),2,str\(\'stdev\'\),0.001,31,10,0.14,220,0,None,i7185,220,688.36328125,688.3279622395834,-1,0.24996884735202493,4603219
1745081297,1745081650,353,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1084 feature_id 10 batch_size 4960 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.001 subsets 1,1084,4960,str\(\'KL\'\),1,str\(\'stdev\'\),0.001,1,10,0.15,338,0,None,i7183,338,688.89453125,688.8765190972222,-1,0.964,4603642
1745081890,1745082159,269,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 10 batch_size 3246 divergence str\(\'KL\'\) detect_batch 2 statistic str\(\'stdev\'\) significance 0.001 subsets 1,1,3246,str\(\'KL\'\),2,str\(\'stdev\'\),0.001,1,10,0.14,255,0,None,i7183,255,687.7421875,687.7092633928571,-1,0.46047352024922117,4603918
1745082581,1745082850,269,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 10 batch_size 569 divergence str\(\'H\'\) detect_batch 2 statistic str\(\'tstat\'\) significance 0.999 subsets 1,5000,569,str\(\'H\'\),2,str\(\'tstat\'\),0.999,1,10,0.15,255,0,None,i7185,255,688.453125,688.4242466517857,-1,0.4892336448598131,4604203
1745083832,1745084113,281,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 10 batch_size 3801 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'stdev\'\) significance 0.999 subsets 1,1,3801,str\(\'KL\'\),1,str\(\'stdev\'\),0.999,1,10,0.15,269,0,None,i7183,269,689.2421875,689.2250808189655,-1,0.9697445482866044,4604734
1745084592,1745084900,308,module load GCCcore/10.3.0 Python && source /data/horse/ws/s4122485-compPerfDD/benchmark/venv/bin/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 918 feature_id 10 batch_size 1130 divergence str\(\'KL\'\) detect_batch 1 statistic str\(\'tstat\'\) significance 0.001 subsets 1,918,1130,str\(\'KL\'\),1,str\(\'tstat\'\),0.001,1,10,0.15,294,0,None,i7183,294,688.38671875,688.37060546875,-1,0.9748411214953271,4604912

Copy raw data to clipboard

Download »job_infos.csv« as file

Copy raw data to clipboard

Download »oo_errors.txt« as file

/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_RialtoBridgeTimelapse_ft_10_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4560953/4560953_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_RialtoBridgeTimelapse_ft_10_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4561224/4561224_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_RialtoBridgeTimelapse_ft_10_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4569296/4569296_0_log.err not found

Copy raw data to clipboard

Download »oo_errors.txt« as file

Arguments Overview:

Copy raw data to clipboard

Download »worker_usage.csv« as file

1744998972.7942538,20,0,0
1744998983.4671361,20,0,0
1744998984.4026148,20,0,0
1744998984.6270125,20,0,0
1744998986.2298543,20,1,5
1744998991.8599193,20,1,5
1744998992.9487712,20,1,5
1744998993.159193,20,1,5
1744998994.6573682,20,2,10
1744999003.0835202,20,2,10
1744999003.916936,20,2,10
1744999004.1493893,20,2,10
1744999005.5682154,20,3,15
1744999016.2812896,20,3,15
1744999017.1623054,20,3,15
1744999017.383674,20,3,15
1744999019.0190353,20,4,20
1744999032.6904814,20,4,20
1744999033.5763905,20,4,20
1744999033.795636,20,4,20
1744999035.2220998,20,5,25
1744999051.3485217,20,5,25
1744999052.2596107,20,5,25
1744999052.4946787,20,5,25
1744999054.1137815,20,6,30
1744999073.8098502,20,6,30
1744999074.7001584,20,6,30
1744999074.9087534,20,6,30
1744999076.319926,20,7,35
1744999098.1299622,20,7,35
1744999099.0990105,20,7,35
1744999099.3166733,20,7,35
1744999101.0109496,20,8,40
1744999126.2743213,20,8,40
1744999127.1919043,20,8,40
1744999127.4099412,20,8,40
1744999129.0301507,20,9,45
1744999156.2747698,20,9,45
1744999157.1938617,20,9,45
1744999157.4095728,20,9,45
1744999159.084643,20,10,50
1744999189.3888118,20,10,50
1744999190.3700569,20,10,50
1744999190.6147103,20,10,50
1744999192.0445719,20,11,55
1744999225.1593316,20,11,55
1744999226.3007493,20,11,55
1744999226.5269365,20,11,55
1744999228.0280812,20,12,60
1744999262.7259026,20,12,60
1744999263.6143734,20,12,60
1744999263.8211093,20,12,60
1744999265.2127185,20,13,65
1744999265.7872958,20,13,65
1744999269.7883081,20,12,60
1744999305.8399472,20,11,55
1744999305.9146798,20,11,55
1744999306.8925533,20,11,55
1744999307.158437,20,11,55
1744999308.634763,20,12,60
1744999343.2766705,20,12,60
1744999344.2793057,20,12,60
1744999344.5162022,20,12,60
1744999346.0491915,20,13,65
1744999346.753912,20,13,65
1744999385.1494517,20,12,60
1744999385.2169278,20,12,60
1744999386.0934446,20,12,60
1744999386.3105886,20,12,60
1744999388.0793488,20,13,65
1744999425.8855376,20,13,65
1744999426.9094355,20,13,65
1744999427.1717858,20,13,65
1744999428.9238079,20,14,70
1744999429.5181968,20,14,70
1744999433.7900293,20,13,65
1744999473.2965739,20,12,60
1744999473.3627574,20,12,60
1744999474.291949,20,12,60
1744999474.5153546,20,12,60
1744999476.0312479,20,13,65
1744999513.9259796,20,13,65
1744999515.1430066,20,13,65
1744999515.3571985,20,13,65
1744999517.0351198,20,14,70
1744999517.603247,20,14,70
1744999521.3972955,20,13,65
1744999525.4742994,20,12,60
1744999529.5573056,20,11,55
1744999541.6394649,20,10,50
1744999564.623631,20,9,45
1744999564.698733,20,9,45
1744999565.5768747,20,9,45
1744999565.7912939,20,9,45
1744999567.265024,20,10,50
1744999570.6911805,20,10,50
1744999574.3153877,20,9,45
1744999600.0707054,20,8,40
1744999600.2489161,20,8,40
1744999600.732361,20,8,40
1744999604.330266,20,7,35
1744999608.2164905,20,6,30
1744999628.2245994,20,5,25
1744999629.4223802,20,5,25
1744999650.8627422,20,5,25
1744999672.5984368,20,5,25
1744999694.238709,20,5,25
1744999715.8852735,20,5,25
1744999721.4422257,20,5,25
1744999738.4464512,20,4,20
1744999738.5632381,20,4,20
1744999757.2128773,20,4,20
1744999762.7537746,20,4,20
1744999771.799757,20,3,15
1744999777.9124527,20,2,10
1744999778.034388,20,2,10
1744999791.8494322,20,2,10
1744999805.1775753,20,2,10
1744999818.1738002,20,2,10
1744999826.5578077,20,2,10
1744999832.5560033,20,1,5
1744999832.6776853,20,1,5
1744999843.347248,20,1,5
1744999854.1202214,20,1,5
1744999864.8060603,20,1,5
1744999875.3760135,20,1,5
1744999885.7642794,20,1,5
1744999896.7317722,20,1,5
1744999907.2285876,20,1,5
1744999917.6735644,20,1,5
1744999928.1421936,20,1,5
1744999938.567771,20,1,5
1744999949.068745,20,1,5
1744999959.151944,20,1,5
1744999964.727019,20,1,5
1744999971.1209955,20,0,0
1744999981.1126106,20,0,0
1745000246.6499982,20,0,0
1745000246.8544478,20,0,0
1745000248.4444087,20,1,5
1745000253.8572733,20,1,5
1745000463.6422374,20,1,5
1745000464.0255225,20,1,5
1745000465.4311202,20,2,10
1745000472.4284449,20,2,10
1745000657.7725017,20,2,10
1745000658.0678403,20,2,10
1745000660.473627,20,3,15
1745000669.4486263,20,3,15
1745000866.454139,20,3,15
1745000867.0269923,20,3,15
1745000868.5942018,20,4,20
1745000869.219363,20,4,20
1745000873.412209,20,3,15
1745000885.2749295,20,2,10
1745000885.3425777,20,2,10
1745001221.5255077,20,2,10
1745001221.9883788,20,2,10
1745001223.4370034,20,3,15
1745001224.113433,20,3,15
1745001228.5364025,20,2,10
1745001237.5894687,20,1,5
1745001237.8856432,20,1,5
1745001639.0771303,20,1,5
1745001639.4323738,20,1,5
1745001641.1212592,20,2,10
1745001641.8129127,20,2,10
1745001651.0007164,20,1,5
1745001651.0732296,20,1,5
1745002199.292517,20,1,5
1745002199.8498642,20,1,5
1745002203.087636,20,2,10
1745002203.791405,20,2,10
1745002213.1921659,20,1,5
1745002213.2963688,20,1,5
1745002622.9504633,20,1,5
1745002623.2892582,20,1,5
1745002626.1898465,20,2,10
1745002626.8151782,20,2,10
1745002635.745443,20,1,5
1745002635.8156672,20,1,5
1745003057.2568047,20,1,5
1745003057.6001234,20,1,5
1745003059.1098268,20,2,10
1745003059.602279,20,2,10
1745003067.032958,20,1,5
1745003067.1002197,20,1,5
1745003582.8555832,20,1,5
1745003583.2004707,20,1,5
1745003584.8691788,20,2,10
1745003585.5354183,20,2,10
1745003595.6340423,20,1,5
1745003595.7042565,20,1,5
1745004003.767855,20,1,5
1745004004.1453607,20,1,5
1745004005.9305542,20,2,10
1745004006.6524532,20,2,10
1745004017.4428096,20,1,5
1745004017.5357258,20,1,5
1745004470.348219,20,1,5
1745004470.9918232,20,1,5
1745004472.503686,20,2,10
1745004473.1711147,20,2,10
1745004482.587747,20,1,5
1745004482.659704,20,1,5
1745004955.4913127,20,1,5
1745004956.0036654,20,1,5
1745004957.4003296,20,2,10
1745004957.9466116,20,2,10
1745004965.8870728,20,1,5
1745004965.9446774,20,1,5
1745005256.7989862,20,1,5
1745005257.0704265,20,1,5
1745005259.4664364,20,2,10
1745005265.9077902,20,2,10
1745005527.982891,20,2,10
1745005528.2570555,20,2,10
1745005529.964575,20,3,15
1745005530.3894506,20,3,15
1745005538.7788675,20,2,10
1745005538.9152412,20,2,10
1745005858.3654976,20,2,10
1745005858.9561973,20,2,10
1745005860.2956264,20,3,15
1745005885.4082024,20,3,15
1745006125.3957403,20,3,15
1745006125.8932447,20,3,15
1745006127.2862504,20,4,20
1745006127.7201416,20,4,20
1745006130.458014,20,3,15
1745006139.120491,20,2,10
1745006139.1918068,20,2,10
1745006543.2415898,20,2,10
1745006543.4815035,20,2,10
1745006545.0011353,20,3,15
1745006545.4356139,20,3,15
1745006548.666569,20,2,10
1745006555.0886807,20,1,5
1745006555.2538626,20,1,5
1745006958.606532,20,1,5
1745006958.982913,20,1,5
1745006960.3664396,20,2,10
1745006960.821111,20,2,10
1745006967.893311,20,1,5
1745006967.9444025,20,1,5
1745007317.1250422,20,1,5
1745007317.427236,20,1,5
1745007319.0255358,20,2,10
1745007325.2103796,20,2,10
1745007332.9175196,20,2,10
1745007344.061154,20,2,10
1745007349.5723202,20,2,10
1745007356.0270026,20,1,5
1745007356.1140594,20,1,5
1745007365.4129324,20,1,5
1745007374.6886983,20,1,5
1745007383.9041054,20,1,5
1745007393.210906,20,1,5
1745007402.5070467,20,1,5
1745007411.837568,20,1,5
1745007421.1603956,20,1,5
1745007430.0078735,20,1,5
1745007439.3536677,20,1,5
1745007448.683798,20,1,5
1745007458.1745481,20,1,5
1745007467.52598,20,1,5
1745007476.366106,20,1,5
1745007485.6366546,20,1,5
1745007494.875763,20,1,5
1745007504.1266332,20,1,5
1745007512.932011,20,1,5
1745007522.1837776,20,1,5
1745007531.4562283,20,1,5
1745007540.7242343,20,1,5
1745007549.5377803,20,1,5
1745007558.8265505,20,1,5
1745007568.088226,20,1,5
1745007577.3888683,20,1,5
1745007586.2131028,20,1,5
1745007595.6057005,20,1,5
1745007604.871604,20,1,5
1745007614.129639,20,1,5
1745007622.959332,20,1,5
1745007632.2245767,20,1,5
1745007641.5485578,20,1,5
1745007650.8810022,20,1,5
1745007659.6976206,20,1,5
1745007669.0130439,20,1,5
1745007678.2575104,20,1,5
1745007687.122556,20,1,5
1745007696.3806796,20,1,5
1745007701.8185701,20,1,5
1745007706.5193942,20,0,0
1745007714.2449548,20,0,0
1745008002.1666222,20,0,0
1745008002.324474,20,0,0
1745008004.079873,20,1,5
1745008008.7131197,20,1,5
1745008290.2744427,20,1,5
1745008290.6195076,20,1,5
1745008292.0321453,20,2,10
1745008298.4521456,20,2,10
1745008634.5338612,20,2,10
1745008634.9348917,20,2,10
1745008636.3238034,20,3,15
1745008636.759793,20,3,15
1745008645.1565225,20,2,10
1745008645.3005967,20,2,10
1745009008.431092,20,2,10
1745009008.9032233,20,2,10
1745009010.2869973,20,3,15
1745009010.708509,20,3,15
1745009013.6945221,20,2,10
1745009020.435079,20,1,5
1745009020.876561,20,1,5
1745009384.5985863,20,1,5
1745009384.9539459,20,1,5
1745009386.3343394,20,2,10
1745009386.7450302,20,2,10
1745009393.893587,20,1,5
1745009393.951414,20,1,5
1745009723.5038314,20,1,5
1745009723.9409754,20,1,5
1745009725.2957094,20,2,10
1745009732.0465662,20,2,10
1745009971.1618817,20,2,10
1745009971.4239693,20,2,10
1745009972.9615285,20,3,15
1745009981.8283017,20,3,15
1745010317.7289627,20,3,15
1745010317.9701865,20,3,15
1745010319.373296,20,4,20
1745010319.8345551,20,4,20
1745010323.1861825,20,3,15
1745010331.9493275,20,2,10
1745010332.0127099,20,2,10
1745010571.17492,20,2,10
1745010571.3990812,20,2,10
1745010572.997428,20,3,15
1745010573.4317553,20,3,15
1745010582.260918,20,2,10
1745010582.3782914,20,2,10
1745010887.4524157,20,2,10
1745010887.9146152,20,2,10
1745010889.2798846,20,3,15
1745010889.760775,20,3,15
1745010893.1366868,20,2,10
1745010899.9795864,20,1,5
1745010900.153773,20,1,5
1745011127.2145858,20,1,5
1745011127.484409,20,1,5
1745011129.0104733,20,2,10
1745011135.8106058,20,2,10
1745011332.8861666,20,2,10
1745011333.123168,20,2,10
1745011334.7205782,20,3,15
1745011335.1493068,20,3,15
1745011344.2184856,20,2,10
1745011344.3519194,20,2,10
1745011708.5189164,20,2,10
1745011708.9322932,20,2,10
1745011710.3080173,20,3,15
1745011710.7930827,20,3,15
1745011714.1585321,20,2,10
1745011721.0398579,20,1,5
1745011721.1996505,20,1,5
1745012111.2733316,20,1,5
1745012111.603255,20,1,5
1745012113.0421703,20,2,10
1745012119.7995825,20,2,10
1745012436.5808623,20,2,10
1745012436.9101362,20,2,10
1745012438.2786486,20,3,15
1745012438.730335,20,3,15
1745012441.9400206,20,2,10
1745012449.422004,20,1,5
1745012449.8654523,20,1,5
1745012806.7251897,20,1,5
1745012807.0050998,20,1,5
1745012808.413718,20,2,10
1745012808.6593838,20,2,10
1745012816.2534988,20,1,5
1745012816.3455374,20,1,5
1745013180.3953726,20,1,5
1745013180.92754,20,1,5
1745013183.0215828,20,2,10
1745013183.5086052,20,2,10
1745013190.472349,20,1,5
1745013190.5605323,20,1,5
1745013527.842485,20,1,5
1745013528.1419928,20,1,5
1745013530.7413478,20,2,10
1745013531.1922255,20,2,10
1745013538.1691666,20,1,5
1745013538.2625623,20,1,5
1745013882.9676754,20,1,5
1745013883.2744105,20,1,5
1745013885.0085104,20,2,10
1745013885.4467995,20,2,10
1745013892.3719394,20,1,5
1745013892.440744,20,1,5
1745014295.6383457,20,1,5
1745014295.9616594,20,1,5
1745014297.359928,20,2,10
1745014297.7937927,20,2,10
1745014305.0111182,20,1,5
1745014305.115241,20,1,5
1745014311.187914,20,1,5
1745014320.444226,20,1,5
1745014330.320883,20,1,5
1745014339.554071,20,1,5
1745014349.08569,20,1,5
1745014358.4725425,20,1,5
1745014368.013908,20,1,5
1745014377.291871,20,1,5
1745014386.578401,20,1,5
1745014396.1486628,20,1,5
1745014405.4435449,20,1,5
1745014415.00216,20,1,5
1745014424.5886078,20,1,5
1745014434.2169154,20,1,5
1745014443.5135105,20,1,5
1745014452.8172832,20,1,5
1745014462.3632238,20,1,5
1745014471.6609883,20,1,5
1745014481.2625976,20,1,5
1745014490.603795,20,1,5
1745014499.8872538,20,1,5
1745014509.4548967,20,1,5
1745014518.7642667,20,1,5
1745014528.03313,20,1,5
1745014537.5679383,20,1,5
1745014546.8440535,20,1,5
1745014556.2363658,20,1,5
1745014565.7883458,20,1,5
1745014575.1098685,20,1,5
1745014584.382835,20,1,5
1745014593.9821072,20,1,5
1745014603.287616,20,1,5
1745014612.5217583,20,1,5
1745014621.783786,20,1,5
1745014631.4284608,20,1,5
1745014640.7970128,20,1,5
1745014646.2187219,20,1,5
1745014650.9854577,20,0,0
1745014659.0552373,20,0,0
1745015071.565022,20,0,0
1745015071.7407575,20,0,0
1745015073.122092,20,1,5
1745015078.803455,20,1,5
1745015446.8687248,20,1,5
1745015447.149524,20,1,5
1745015448.5964184,20,2,10
1745015455.7848134,20,2,10
1745015849.220514,20,2,10
1745015849.5001192,20,2,10
1745015851.0162141,20,3,15
1745015851.4689083,20,3,15
1745015855.2110417,20,2,10
1745015862.2858202,20,1,5
1745015862.514459,20,1,5
1745016158.7816997,20,1,5
1745016159.0768442,20,1,5
1745016160.44149,20,2,10
1745016167.5371258,20,2,10
1745016468.401276,20,2,10
1745016468.8945792,20,2,10
1745016470.2906182,20,3,15
1745016470.7464745,20,3,15
1745016480.6170504,20,2,10
1745016480.8346019,20,2,10
1745016849.256311,20,2,10
1745016849.49733,20,2,10
1745016851.0687308,20,3,15
1745016851.527398,20,3,15
1745016855.1699662,20,2,10
1745016862.5348408,20,1,5
1745016862.858089,20,1,5
1745017122.6524122,20,1,5
1745017122.9684052,20,1,5
1745017124.3815596,20,2,10
1745017131.3668852,20,2,10
1745017425.390913,20,2,10
1745017425.8834915,20,2,10
1745017427.2533815,20,3,15
1745017427.73051,20,3,15
1745017437.187372,20,2,10
1745017437.3183684,20,2,10
1745017742.3718982,20,2,10
1745017742.8905005,20,2,10
1745017744.971451,20,3,15
1745017745.3981948,20,3,15
1745017748.8331876,20,2,10
1745017756.2191036,20,1,5
1745017756.4086113,20,1,5
1745018019.7523549,20,1,5
1745018020.0534818,20,1,5
1745018021.449755,20,2,10
1745018028.8291807,20,2,10
1745018447.0952,20,2,10
1745018447.3984892,20,2,10
1745018449.0055087,20,3,15
1745018449.4417014,20,3,15
1745018452.4610872,20,2,10
1745018460.017585,20,1,5
1745018460.2014656,20,1,5
1745018790.3754482,20,1,5
1745018791.0304048,20,1,5
1745018792.4000094,20,2,10
1745018799.2306836,20,2,10
1745019108.3368835,20,2,10
1745019108.8943048,20,2,10
1745019110.2625186,20,3,15
1745019110.7584655,20,3,15
1745019120.0809443,20,2,10
1745019120.2206864,20,2,10
1745019506.204978,20,2,10
1745019506.5044231,20,2,10
1745019508.0250783,20,3,15
1745019508.4452255,20,3,15
1745019512.073475,20,2,10
1745019519.340885,20,1,5
1745019519.7917159,20,1,5
1745019837.696668,20,1,5
1745019837.9778833,20,1,5
1745019839.3519306,20,2,10
1745019846.2801216,20,2,10
1745020068.3158023,20,2,10
1745020068.8030133,20,2,10
1745020070.2166758,20,3,15
1745020070.7042723,20,3,15
1745020080.1149516,20,2,10
1745020080.2658079,20,2,10
1745020378.2398565,20,2,10
1745020378.467999,20,2,10
1745020380.0418856,20,3,15
1745020380.4916232,20,3,15
1745020383.6528492,20,2,10
1745020390.9679255,20,1,5
1745020391.1906312,20,1,5
1745020782.904256,20,1,5
1745020783.186738,20,1,5
1745020784.678041,20,2,10
1745020785.1378062,20,2,10
1745020792.6160536,20,1,5
1745020792.8662126,20,1,5
1745021069.5222015,20,1,5
1745021069.9625216,20,1,5
1745021071.3415253,20,2,10
1745021071.8012264,20,2,10
1745021079.363112,20,1,5
1745021079.440466,20,1,5
1745021422.158776,20,1,5
1745021422.4269347,20,1,5
1745021424.0176406,20,2,10
1745021424.465013,20,2,10
1745021432.2931504,20,1,5
1745021432.4448044,20,1,5
1745021438.3237727,20,1,5
1745021447.9272697,20,1,5
1745021457.5935555,20,1,5
1745021467.112861,20,1,5
1745021477.0345893,20,1,5
1745021486.8897972,20,1,5
1745021496.4732003,20,1,5
1745021506.0273216,20,1,5
1745021515.6248164,20,1,5
1745021525.169834,20,1,5
1745021534.7515662,20,1,5
1745021544.3274815,20,1,5
1745021553.9873679,20,1,5
1745021563.5464764,20,1,5
1745021573.1275468,20,1,5
1745021582.7685878,20,1,5
1745021592.3901975,20,1,5
1745021602.0535026,20,1,5
1745021611.7338824,20,1,5
1745021621.4004776,20,1,5
1745021626.8321493,20,1,5
1745021631.8977597,20,0,0
1745021640.5051146,20,0,0
1745021972.8996372,20,0,0
1745021973.0588534,20,0,0
1745021974.466892,20,1,5
1745021979.0762327,20,1,5
1745022254.9818022,20,1,5
1745022255.275726,20,1,5
1745022257.036084,20,2,10
1745022263.8972523,20,2,10
1745022553.3539815,20,2,10
1745022553.8648527,20,2,10
1745022555.2710087,20,3,15
1745022558.1465106,20,3,15
1745022565.9537148,20,2,10
1745022566.1255631,20,2,10
1745022878.5342455,20,2,10
1745022878.9621258,20,2,10
1745022880.3782067,20,3,15
1745022880.8668547,20,3,15
1745022883.9806092,20,2,10
1745022891.9039316,20,1,5
1745022892.0768082,20,1,5
1745023273.2329469,20,1,5
1745023273.5304372,20,1,5
1745023275.0281167,20,2,10
1745023275.4979541,20,2,10
1745023283.999444,20,1,5
1745023284.0850196,20,1,5
1745023598.0751085,20,1,5
1745023598.3511364,20,1,5
1745023600.0318792,20,2,10
1745023600.467264,20,2,10
1745023608.373126,20,1,5
1745023608.4311507,20,1,5
1745023960.9055004,20,1,5
1745023961.2404478,20,1,5
1745023962.9637234,20,2,10
1745023963.4275212,20,2,10
1745023971.2786026,20,1,5
1745023971.3376114,20,1,5
1745024248.368611,20,1,5
1745024248.9740927,20,1,5
1745024250.3392775,20,2,10
1745024250.779902,20,2,10
1745024258.8309784,20,1,5
1745024258.9323688,20,1,5
1745024697.6271548,20,1,5
1745024697.9662182,20,1,5
1745024699.3493319,20,2,10
1745024699.8114905,20,2,10
1745024707.469153,20,1,5
1745024707.5257723,20,1,5
1745025139.2378395,20,1,5
1745025139.5228024,20,1,5
1745025141.0325367,20,2,10
1745025141.4774566,20,2,10
1745025148.9897792,20,1,5
1745025149.1537008,20,1,5
1745025495.1064515,20,1,5
1745025496.4288774,20,1,5
1745025498.0162506,20,2,10
1745025498.4596326,20,2,10
1745025505.7642388,20,1,5
1745025505.9296858,20,1,5
1745025946.5438712,20,1,5
1745025946.9424841,20,1,5
1745025948.3801203,20,2,10
1745025948.8100877,20,2,10
1745025956.4354029,20,1,5
1745025956.4934263,20,1,5
1745026332.915554,20,1,5
1745026333.1828434,20,1,5
1745026334.6861067,20,2,10
1745026335.1840763,20,2,10
1745026342.5407162,20,1,5
1745026342.598281,20,1,5
1745026715.9045076,20,1,5
1745026716.1832662,20,1,5
1745026717.606596,20,2,10
1745026718.0968819,20,2,10
1745026725.520088,20,1,5
1745026725.8504167,20,1,5
1745027161.251452,20,1,5
1745027161.5539095,20,1,5
1745027163.0338216,20,2,10
1745027163.5612483,20,2,10
1745027171.9587083,20,1,5
1745027172.0269582,20,1,5
1745027558.4597414,20,1,5
1745027558.9486396,20,1,5
1745027560.3202555,20,2,10
1745027560.8087058,20,2,10
1745027568.354696,20,1,5
1745027568.4182224,20,1,5
1745027886.8684926,20,1,5
1745027887.1655002,20,1,5
1745027888.6673295,20,2,10
1745027889.1154253,20,2,10
1745027896.5729032,20,1,5
1745027896.852435,20,1,5
1745028411.4391413,20,1,5
1745028412.1313736,20,1,5
1745028413.6918814,20,2,10
1745028414.5761466,20,2,10
1745028423.6406121,20,1,5
1745028423.701695,20,1,5
1745028851.0309522,20,1,5
1745028851.4560206,20,1,5
1745028853.1689894,20,2,10
1745028854.0942833,20,2,10
1745028863.8437724,20,1,5
1745028863.9239318,20,1,5
1745029406.2620075,20,1,5
1745029406.5863278,20,1,5
1745029408.010592,20,2,10
1745029408.4301355,20,2,10
1745029416.4525785,20,1,5
1745029416.5583618,20,1,5
1745029422.79296,20,1,5
1745029433.3877783,20,1,5
1745029444.569612,20,1,5
1745029454.3536985,20,1,5
1745029464.6897082,20,1,5
1745029474.880789,20,1,5
1745029484.6750824,20,1,5
1745029494.4949627,20,1,5
1745029504.312084,20,1,5
1745029514.6376004,20,1,5
1745029525.04882,20,1,5
1745029535.4663363,20,1,5
1745029545.3595963,20,1,5
1745029554.6954248,20,1,5
1745029564.659713,20,1,5
1745029574.6259022,20,1,5
1745029584.7034106,20,1,5
1745029594.7011588,20,1,5
1745029605.4476247,20,1,5
1745029615.8251562,20,1,5
1745029625.174459,20,1,5
1745029634.928767,20,1,5
1745029644.6914325,20,1,5
1745029654.4634762,20,1,5
1745029664.2570064,20,1,5
1745029674.112658,20,1,5
1745029684.191209,20,1,5
1745029694.8252232,20,1,5
1745029704.716156,20,1,5
1745029715.0900574,20,1,5
1745029725.1211138,20,1,5
1745029730.5389965,20,1,5
1745029736.098703,20,0,0
1745029744.5836656,20,0,0
1745030086.1714144,20,0,0
1745030086.3483768,20,0,0
1745030088.0006115,20,1,5
1745030092.5522115,20,1,5
1745030418.5663855,20,1,5
1745030418.9469578,20,1,5
1745030421.4030418,20,2,10
1745030421.8551235,20,2,10
1745030429.5675669,20,1,5
1745030429.6390953,20,1,5
1745030843.790197,20,1,5
1745030844.0659661,20,1,5
1745030845.4313948,20,2,10
1745030845.8601,20,2,10
1745030853.5212557,20,1,5
1745030853.8637624,20,1,5
1745031337.172482,20,1,5
1745031337.45292,20,1,5
1745031339.0059109,20,2,10
1745031339.4333987,20,2,10
1745031347.6237812,20,1,5
1745031347.6892743,20,1,5
1745031765.5077333,20,1,5
1745031765.975177,20,1,5
1745031767.3447032,20,2,10
1745031767.8834338,20,2,10
1745031775.5988605,20,1,5
1745031775.8644667,20,1,5
1745032275.281089,20,1,5
1745032275.7838507,20,1,5
1745032278.2867775,20,2,10
1745032286.8041189,20,2,10
1745032657.2324429,20,2,10
1745032657.468919,20,2,10
1745032659.0424092,20,3,15
1745032659.496552,20,3,15
1745032663.2449043,20,2,10
1745032670.7792397,20,1,5
1745032670.9458423,20,1,5
1745033017.614958,20,1,5
1745033017.9504368,20,1,5
1745033020.3948631,20,2,10
1745033020.8595653,20,2,10
1745033029.089988,20,1,5
1745033029.1489794,20,1,5
1745033449.8853931,20,1,5
1745033450.1791658,20,1,5
1745033451.5832372,20,2,10
1745033452.041091,20,2,10
1745033459.7943552,20,1,5
1745033459.9613822,20,1,5
1745033914.8109214,20,1,5
1745033915.0856402,20,1,5
1745033916.4936671,20,2,10
1745033916.9758623,20,2,10
1745033925.208644,20,1,5
1745033925.2742815,20,1,5
1745034270.9801853,20,1,5
1745034271.3375373,20,1,5
1745034273.0628192,20,2,10
1745034273.4981823,20,2,10
1745034281.1386995,20,1,5
1745034281.2984104,20,1,5
1745034597.3098495,20,1,5
1745034597.79892,20,1,5
1745034599.2253094,20,2,10
1745034599.6448996,20,2,10
1745034607.4557247,20,1,5
1745034607.5204315,20,1,5
1745035026.9017918,20,1,5
1745035027.1820164,20,1,5
1745035028.6608655,20,2,10
1745035029.1059105,20,2,10
1745035036.877878,20,1,5
1745035037.0559394,20,1,5
1745035380.4232266,20,1,5
1745035381.1341276,20,1,5
1745035382.5596492,20,2,10
1745035383.0016725,20,2,10
1745035391.0757604,20,1,5
1745035391.1473324,20,1,5
1745035788.9060285,20,1,5
1745035789.1790261,20,1,5
1745035790.6122744,20,2,10
1745035791.122863,20,2,10
1745035799.6810195,20,1,5
1745035799.7499518,20,1,5
1745036210.6604037,20,1,5
1745036210.968883,20,1,5
1745036212.3415344,20,2,10
1745036212.8135562,20,2,10
1745036220.7217681,20,1,5
1745036220.8823566,20,1,5
1745036676.7055683,20,1,5
1745036676.9756587,20,1,5
1745036678.661156,20,2,10
1745036679.2187202,20,2,10
1745036687.1907814,20,1,5
1745036687.2745688,20,1,5
1745037082.0403786,20,1,5
1745037082.3789387,20,1,5
1745037084.043361,20,2,10
1745037084.618512,20,2,10
1745037092.4383178,20,1,5
1745037092.500543,20,1,5
1745037439.4594579,20,1,5
1745037439.9592118,20,1,5
1745037442.4021964,20,2,10
1745037442.9066153,20,2,10
1745037451.0837977,20,1,5
1745037451.1452281,20,1,5
1745037945.5545099,20,1,5
1745037945.975592,20,1,5
1745037947.4523175,20,2,10
1745037947.8563247,20,2,10
1745037955.7721415,20,1,5
1745037955.8978922,20,1,5
1745037962.212309,20,1,5
1745037972.4982517,20,1,5
1745037982.6282394,20,1,5
1745037992.8959906,20,1,5
1745038002.7745392,20,1,5
1745038012.8332026,20,1,5
1745038022.916255,20,1,5
1745038032.9041092,20,1,5
1745038042.9867058,20,1,5
1745038052.7318149,20,1,5
1745038062.7138987,20,1,5
1745038072.7645211,20,1,5
1745038082.8172703,20,1,5
1745038092.6703753,20,1,5
1745038102.8430085,20,1,5
1745038113.1252146,20,1,5
1745038123.028487,20,1,5
1745038133.2768958,20,1,5
1745038143.854016,20,1,5
1745038153.7673168,20,1,5
1745038163.817298,20,1,5
1745038169.2294297,20,1,5
1745038174.8553512,20,0,0
1745038183.2909064,20,0,0
1745038609.6073177,20,0,0
1745038609.7968235,20,0,0
1745038611.1829789,20,1,5
1745038616.0494444,20,1,5
1745039003.0976195,20,1,5
1745039003.409783,20,1,5
1745039005.05333,20,2,10
1745039005.5543828,20,2,10
1745039013.784638,20,1,5
1745039013.8565445,20,1,5
1745039357.7911584,20,1,5
1745039358.0573773,20,1,5
1745039359.4306216,20,2,10
1745039359.8784173,20,2,10
1745039367.6274748,20,1,5
1745039367.701993,20,1,5
1745039718.9231915,20,1,5
1745039719.2320738,20,1,5
1745039720.9001102,20,2,10
1745039721.4731228,20,2,10
1745039729.9639027,20,1,5
1745039730.0349903,20,1,5
1745040044.679559,20,1,5
1745040044.9567952,20,1,5
1745040046.3369162,20,2,10
1745040053.8135798,20,2,10
1745040427.5314107,20,2,10
1745040427.9174004,20,2,10
1745040429.2615788,20,3,15
1745040429.6890264,20,3,15
1745040433.225704,20,2,10
1745040441.0522826,20,1,5
1745040441.2156427,20,1,5
1745040837.872101,20,1,5
1745040838.1896846,20,1,5
1745040839.6216607,20,2,10
1745040840.077012,20,2,10
1745040848.171004,20,1,5
1745040848.2368515,20,1,5
1745041203.0318177,20,1,5
1745041203.3084128,20,1,5
1745041205.009621,20,2,10
1745041205.4311278,20,2,10
1745041213.8797042,20,1,5
1745041214.0509274,20,1,5
1745041622.0619414,20,1,5
1745041622.331972,20,1,5
1745041624.0389128,20,2,10
1745041624.482933,20,2,10
1745041632.670809,20,1,5
1745041632.7274144,20,1,5
1745041979.5616722,20,1,5
1745041979.957613,20,1,5
1745041981.3715734,20,2,10
1745041981.8268752,20,2,10
1745041990.1927762,20,1,5
1745041990.3524907,20,1,5
1745042484.9717598,20,1,5
1745042486.3099508,20,1,5
1745042488.01006,20,2,10
1745042488.4416533,20,2,10
1745042496.818734,20,1,5
1745042497.2190013,20,1,5
1745042962.6956158,20,1,5
1745042962.9615338,20,1,5
1745042964.328407,20,2,10
1745042964.749207,20,2,10
1745042972.7228534,20,1,5
1745042972.7841465,20,1,5
1745043406.5084567,20,1,5
1745043407.110928,20,1,5
1745043408.4678314,20,2,10
1745043408.9237592,20,2,10
1745043417.2693772,20,1,5
1745043417.332706,20,1,5
1745043938.3433244,20,1,5
1745043938.9176004,20,1,5
1745043940.2858293,20,2,10
1745043940.7146926,20,2,10
1745043949.3989835,20,1,5
1745043949.8338351,20,1,5
1745044309.468976,20,1,5
1745044309.943597,20,1,5
1745044311.3343034,20,2,10
1745044311.7715924,20,2,10
1745044320.2506776,20,1,5
1745044321.6064155,20,1,5
1745044777.8578959,20,1,5
1745044778.1281495,20,1,5
1745044779.476041,20,2,10
1745044779.925801,20,2,10
1745044787.9829123,20,1,5
1745044788.0436072,20,1,5
1745045204.4273112,20,1,5
1745045205.9471788,20,1,5
1745045207.3319116,20,2,10
1745045207.7822018,20,2,10
1745045216.1489725,20,1,5
1745045216.3181214,20,1,5
1745045627.2466311,20,1,5
1745045627.6068778,20,1,5
1745045629.0226474,20,2,10
1745045629.4582968,20,2,10
1745045637.9802177,20,1,5
1745045638.1384406,20,1,5
1745046203.6170976,20,1,5
1745046207.7543745,20,1,5
1745046209.484254,20,2,10
1745046209.9188688,20,2,10
1745046218.425966,20,1,5
1745046218.4928317,20,1,5
1745046661.3866205,20,1,5
1745046661.9505064,20,1,5
1745046665.0272183,20,2,10
1745046665.4456396,20,2,10
1745046673.6544096,20,1,5
1745046673.758859,20,1,5
1745046680.440029,20,1,5
1745046690.9216194,20,1,5
1745046701.0731435,20,1,5
1745046711.8884504,20,1,5
1745046722.0172374,20,1,5
1745046732.1772282,20,1,5
1745046742.8304555,20,1,5
1745046752.9765987,20,1,5
1745046763.0851219,20,1,5
1745046773.4895377,20,1,5
1745046783.4642646,20,1,5
1745046793.4857588,20,1,5
1745046803.8713593,20,1,5
1745046814.0250528,20,1,5
1745046824.1779373,20,1,5
1745046834.3707688,20,1,5
1745046845.017256,20,1,5
1745046855.1821573,20,1,5
1745046865.7699122,20,1,5
1745046875.9456747,20,1,5
1745046881.355771,20,1,5
1745046887.4460194,20,0,0
1745046896.254701,20,0,0
1745047237.0540144,20,0,0
1745047237.2314663,20,0,0
1745047238.9576912,20,1,5
1745047244.8097563,20,1,5
1745047748.9946268,20,1,5
1745047749.2515666,20,1,5
1745047750.9659479,20,2,10
1745047751.4145546,20,2,10
1745047759.70318,20,1,5
1745047759.7695203,20,1,5
1745048372.924909,20,1,5
1745048373.2279198,20,1,5
1745048374.9091024,20,2,10
1745048375.3775,20,2,10
1745048383.9146252,20,1,5
1745048383.9768083,20,1,5
1745048880.7935946,20,1,5
1745048881.1628993,20,1,5
1745048882.92948,20,2,10
1745048883.4750469,20,2,10
1745048892.048618,20,1,5
1745048892.1118302,20,1,5
1745049390.53712,20,1,5
1745049390.9633088,20,1,5
1745049392.3653305,20,2,10
1745049392.7986155,20,2,10
1745049402.211207,20,1,5
1745049402.2751071,20,1,5
1745049924.7940893,20,1,5
1745049925.0661018,20,1,5
1745049926.438217,20,2,10
1745049926.8663678,20,2,10
1745049935.2449667,20,1,5
1745049935.305345,20,1,5
1745050501.5429413,20,1,5
1745050501.9593387,20,1,5
1745050505.0298476,20,2,10
1745050505.4754279,20,2,10
1745050513.704359,20,1,5
1745050513.7738595,20,1,5
1745050933.1027818,20,1,5
1745050933.3835795,20,1,5
1745050935.01989,20,2,10
1745050935.430382,20,2,10
1745050943.842032,20,1,5
1745050943.9151697,20,1,5
1745051438.246804,20,1,5
1745051438.5847163,20,1,5
1745051439.9972353,20,2,10
1745051440.422575,20,2,10
1745051448.9035842,20,1,5
1745051448.9687173,20,1,5
1745052025.221201,20,1,5
1745052025.4952812,20,1,5
1745052027.0071595,20,2,10
1745052027.4476767,20,2,10
1745052035.851162,20,1,5
1745052035.922568,20,1,5
1745052562.3664086,20,1,5
1745052562.9569554,20,1,5
1745052564.322287,20,2,10
1745052564.7801178,20,2,10
1745052573.2464743,20,1,5
1745052573.3186772,20,1,5
1745053139.692053,20,1,5
1745053139.9633756,20,1,5
1745053141.3324947,20,2,10
1745053141.777247,20,2,10
1745053150.1830177,20,1,5
1745053150.3506968,20,1,5
1745053712.4578547,20,1,5
1745053712.9593637,20,1,5
1745053714.4680457,20,2,10
1745053714.8934069,20,2,10
1745053723.4448535,20,1,5
1745053723.5127776,20,1,5
1745054158.5706165,20,1,5
1745054158.9466937,20,1,5
1745054160.3874798,20,2,10
1745054168.4372537,20,2,10
1745054791.5139081,20,2,10
1745054791.9047983,20,2,10
1745054793.2689111,20,3,15
1745054793.7019663,20,3,15
1745054797.543528,20,2,10
1745054805.9027364,20,1,5
1745054806.0658977,20,1,5
1745055333.7073486,20,1,5
1745055333.9809477,20,1,5
1745055335.350501,20,2,10
1745055335.7995815,20,2,10
1745055344.377498,20,1,5
1745055344.4417088,20,1,5
1745055858.0750194,20,1,5
1745055858.368124,20,1,5
1745055860.9919324,20,2,10
1745055861.4274917,20,2,10
1745055870.2385588,20,1,5
1745055870.3216777,20,1,5
1745056409.157835,20,1,5
1745056409.4682777,20,1,5
1745056411.037141,20,2,10
1745056411.5546703,20,2,10
1745056420.142876,20,1,5
1745056420.2044337,20,1,5
1745057035.2759323,20,1,5
1745057035.7874293,20,1,5
1745057038.4612074,20,2,10
1745057038.9276617,20,2,10
1745057048.7290196,20,1,5
1745057048.8922348,20,1,5
1745057584.793704,20,1,5
1745057585.1051958,20,1,5
1745057586.486582,20,2,10
1745057586.8955593,20,2,10
1745057595.379965,20,1,5
1745057595.8548753,20,1,5
1745057602.5048416,20,1,5
1745057613.850985,20,1,5
1745057624.2919898,20,1,5
1745057634.8934035,20,1,5
1745057645.1682785,20,1,5
1745057655.4538965,20,1,5
1745057665.674109,20,1,5
1745057675.9585347,20,1,5
1745057686.3121767,20,1,5
1745057696.6236525,20,1,5
1745057706.9162545,20,1,5
1745057717.9883687,20,1,5
1745057728.433904,20,1,5
1745057738.9211447,20,1,5
1745057749.3326845,20,1,5
1745057759.7509868,20,1,5
1745057770.1878037,20,1,5
1745057780.597883,20,1,5
1745057791.0926502,20,1,5
1745057801.5670416,20,1,5
1745057811.8477623,20,1,5
1745057822.0888884,20,1,5
1745057832.3684316,20,1,5
1745057842.6150012,20,1,5
1745057848.036735,20,1,5
1745057853.8276238,20,0,0
1745057862.888883,20,0,0
1745058410.7409909,20,0,0
1745058410.9144115,20,0,0
1745058412.2914479,20,1,5
1745058417.8693688,20,1,5
1745058811.5932903,20,1,5
1745058811.958557,20,1,5
1745058813.61357,20,2,10
1745058814.069955,20,2,10
1745058823.0052571,20,1,5
1745058823.066359,20,1,5
1745059398.2528782,20,1,5
1745059401.257216,20,1,5
1745059403.0451326,20,2,10
1745059403.469167,20,2,10
1745059412.2792647,20,1,5
1745059412.3396132,20,1,5
1745059996.8292704,20,1,5
1745059997.1073833,20,1,5
1745059998.5090983,20,2,10
1745059998.9529068,20,2,10
1745060007.3489683,20,1,5
1745060007.802368,20,1,5
1745060432.9801185,20,1,5
1745060436.995142,20,1,5
1745060438.9911983,20,2,10
1745060439.5426533,20,2,10
1745060448.3922803,20,1,5
1745060448.464441,20,1,5
1745061065.2794642,20,1,5
1745061065.6276486,20,1,5
1745061067.0298579,20,2,10
1745061067.5049934,20,2,10
1745061076.951501,20,1,5
1745061077.0271337,20,1,5
1745061501.8672686,20,1,5
1745061502.129098,20,1,5
1745061503.5057065,20,2,10
1745061503.9278846,20,2,10
1745061513.0233097,20,1,5
1745061513.0904899,20,1,5
1745062046.8013487,20,1,5
1745062047.0979078,20,1,5
1745062048.4518867,20,2,10
1745062048.8916512,20,2,10
1745062058.3208249,20,1,5
1745062058.3832533,20,1,5
1745062667.0576286,20,1,5
1745062668.3818045,20,1,5
1745062670.0069327,20,2,10
1745062670.4457402,20,2,10
1745062679.4225287,20,1,5
1745062679.4832811,20,1,5
1745063250.570312,20,1,5
1745063250.9746253,20,1,5
1745063252.350344,20,2,10
1745063252.7843025,20,2,10
1745063262.0549738,20,1,5
1745063262.1138196,20,1,5
1745063700.1481695,20,1,5
1745063700.4227405,20,1,5
1745063703.010351,20,2,10
1745063703.4531665,20,2,10
1745063712.3775048,20,1,5
1745063712.4370904,20,1,5
1745064327.302312,20,1,5
1745064327.854625,20,1,5
1745064329.267002,20,2,10
1745064329.7303333,20,2,10
1745064338.6478302,20,1,5
1745064338.7182374,20,1,5
1745065013.1123414,20,1,5
1745065013.385889,20,1,5
1745065015.0072594,20,2,10
1745065015.4593241,20,2,10
1745065024.1836674,20,1,5
1745065024.3500166,20,1,5
1745065514.036049,20,1,5
1745065514.296391,20,1,5
1745065515.999962,20,2,10
1745065516.4216616,20,2,10
1745065525.125833,20,1,5
1745065525.282934,20,1,5
1745066219.1093102,20,1,5
1745066219.3713257,20,1,5
1745066221.006347,20,2,10
1745066221.440109,20,2,10
1745066230.3490903,20,1,5
1745066231.025328,20,1,5
1745066721.4071612,20,1,5
1745066721.9415326,20,1,5
1745066723.3171494,20,2,10
1745066723.7413602,20,2,10
1745066732.2269447,20,1,5
1745066732.3946762,20,1,5
1745067347.6972175,20,1,5
1745067347.983504,20,1,5
1745067349.4208133,20,2,10
1745067349.904245,20,2,10
1745067358.5328872,20,1,5
1745067358.8638601,20,1,5
1745067878.0693681,20,1,5
1745067878.337791,20,1,5
1745067880.052467,20,2,10
1745067880.498712,20,2,10
1745067889.3184612,20,1,5
1745067889.8164623,20,1,5
1745068520.5199378,20,1,5
1745068520.967256,20,1,5
1745068522.3297546,20,2,10
1745068522.7479403,20,2,10
1745068531.2583067,20,1,5
1745068531.4575188,20,1,5
1745069141.7952125,20,1,5
1745069142.069278,20,1,5
1745069143.4205232,20,2,10
1745069143.857891,20,2,10
1745069152.411814,20,1,5
1745069152.87003,20,1,5
1745069159.52357,20,1,5
1745069170.321236,20,1,5
1745069180.7379756,20,1,5
1745069191.2778206,20,1,5
1745069201.7600012,20,1,5
1745069212.281117,20,1,5
1745069222.8788636,20,1,5
1745069233.5908344,20,1,5
1745069244.2518353,20,1,5
1745069255.0322986,20,1,5
1745069265.7453156,20,1,5
1745069276.476078,20,1,5
1745069287.2416623,20,1,5
1745069298.049544,20,1,5
1745069308.0541291,20,1,5
1745069318.8036118,20,1,5
1745069329.5554957,20,1,5
1745069340.367256,20,1,5
1745069351.3446944,20,1,5
1745069361.927119,20,1,5
1745069372.4861505,20,1,5
1745069383.0539865,20,1,5
1745069393.6584842,20,1,5
1745069404.224176,20,1,5
1745069414.2044957,20,1,5
1745069419.5892272,20,1,5
1745069425.7221937,20,0,0
1745069435.2909126,20,0,0
1745069994.8514674,20,0,0
1745069995.0200596,20,0,0
1745069996.3845105,20,1,5
1745070002.1412475,20,1,5
1745070530.0723958,20,1,5
1745070530.3323061,20,1,5
1745070531.9955642,20,2,10
1745070532.4400136,20,2,10
1745070541.7655082,20,1,5
1745070541.929109,20,1,5
1745071066.1603937,20,1,5
1745071066.4384859,20,1,5
1745071068.1795151,20,2,10
1745071068.5976286,20,2,10
1745071077.2764654,20,1,5
1745071077.5072646,20,1,5
1745071736.8018086,20,1,5
1745071737.0920594,20,1,5
1745071738.4702182,20,2,10
1745071738.9058447,20,2,10
1745071748.2899206,20,1,5
1745071748.3478117,20,1,5
1745072267.9202683,20,1,5
1745072268.201614,20,1,5
1745072269.6781714,20,2,10
1745072270.123538,20,2,10
1745072279.0543518,20,1,5
1745072279.2271335,20,1,5
1745072898.7090778,20,1,5
1745072899.0064404,20,1,5
1745072900.3663466,20,2,10
1745072900.803054,20,2,10
1745072909.5023768,20,1,5
1745072909.8586235,20,1,5
1745073672.482159,20,1,5
1745073672.9675875,20,1,5
1745073674.358737,20,2,10
1745073674.7946784,20,2,10
1745073684.5196738,20,1,5
1745073684.5786018,20,1,5
1745074378.4450512,20,1,5
1745074378.9592636,20,1,5
1745074380.304117,20,2,10
1745074380.7361338,20,2,10
1745074389.4573593,20,1,5
1745074389.8664105,20,1,5
1745075125.5224895,20,1,5
1745075125.9514236,20,1,5
1745075127.3177834,20,2,10
1745075127.754022,20,2,10
1745075137.5794368,20,1,5
1745075137.861657,20,1,5
1745075781.4826913,20,1,5
1745075781.9925265,20,1,5
1745075783.4181674,20,2,10
1745075783.9141874,20,2,10
1745075792.8257415,20,1,5
1745075793.0055232,20,1,5
1745076364.2148542,20,1,5
1745076365.6444945,20,1,5
1745076367.0820174,20,2,10
1745076367.580292,20,2,10
1745076377.3111994,20,1,5
1745076377.3714762,20,1,5
1745076940.4734519,20,1,5
1745076940.976642,20,1,5
1745076942.3656704,20,2,10
1745076942.876748,20,2,10
1745076951.743413,20,1,5
1745076951.917885,20,1,5
1745077601.125716,20,1,5
1745077601.4112833,20,1,5
1745077603.0046754,20,2,10
1745077603.4339106,20,2,10
1745077612.36427,20,1,5
1745077612.8056962,20,1,5
1745078340.6794815,20,1,5
1745078340.9648414,20,1,5
1745078342.3308764,20,2,10
1745078342.792109,20,2,10
1745078352.033642,20,1,5
1745078352.2071328,20,1,5
1745079153.730818,20,1,5
1745079153.9927182,20,1,5
1745079155.4143376,20,2,10
1745079155.8808954,20,2,10
1745079165.6480043,20,1,5
1745079165.8674326,20,1,5
1745079700.0412066,20,1,5
1745079700.3024566,20,1,5
1745079702.0381322,20,2,10
1745079702.4756653,20,2,10
1745079711.567692,20,1,5
1745079711.8529303,20,1,5
1745080345.3100388,20,1,5
1745080345.8310108,20,1,5
1745080347.2054093,20,2,10
1745080347.6439974,20,2,10
1745080357.1734679,20,1,5
1745080357.3424828,20,1,5
1745081265.6335359,20,1,5
1745081266.772028,20,1,5
1745081268.232759,20,2,10
1745081268.6967711,20,2,10
1745081278.982702,20,1,5
1745081279.046109,20,1,5
1745081874.525381,20,1,5
1745081874.946879,20,1,5
1745081876.3426409,20,2,10
1745081876.7720814,20,2,10
1745081885.742803,20,1,5
1745081885.9075665,20,1,5
1745082556.3905478,20,1,5
1745082556.9281003,20,1,5
1745082558.2918687,20,2,10
1745082558.6918604,20,2,10
1745082567.9525015,20,1,5
1745082568.154478,20,1,5

Copy raw data to clipboard

Download »worker_usage.csv« as file

Copy raw data to clipboard

Download »cpu_ram_usage.csv« as file

timestamp,ram_usage_mb,cpu_usage_percent
1744998972,638.88671875,47.4
1744998972,638.88671875,51.4
1744998972,638.94921875,47.8
1744998972,638.94921875,46.9
1744998972,638.94921875,48.8
1744998972,638.94921875,47.7
1744998972,638.94921875,52.5
1744999629,692.5078125,50.4
1744999629,692.5078125,49.2
1744999629,692.5078125,48.7
1744999629,692.5078125,49.5
1745007332,868.01953125,32.4
1745007332,868.01953125,6.9
1745007332,868.01953125,6.7
1745007332,868.01953125,5.7
1745014310,896.84375,8.7
1745014310,896.84375,8.1
1745014310,896.84375,8.2
1745014310,896.84375,6.3
1745021438,938.57421875,8.9
1745021438,938.57421875,8.5
1745021438,938.57421875,8.5
1745021438,938.57421875,9.8
1745029422,976.234375,9.1
1745029422,976.234375,9.3
1745029422,976.234375,9.3
1745029422,976.234375,10.5
1745037962,932.546875,9.0
1745037962,932.546875,10.4
1745037962,932.546875,9.3
1745037962,932.546875,15.8
1745046680,981.36328125,8.8
1745046680,981.36328125,8.4
1745046680,981.36328125,8.1
1745046680,981.36328125,7.8
1745057602,1001.359375,8.7
1745057602,1001.359375,9.0
1745057602,1001.359375,8.8
1745057602,1001.359375,11.7
1745069159,1008.6171875,8.8
1745069159,1008.6171875,7.4
1745069159,1008.6171875,7.3
1745069159,1008.6171875,6.2
1745082574,1060.2734375,8.9
1745082574,1060.2734375,7.0
1745082575,1060.2734375,7.3
1745082575,1060.2734375,5.6

Copy raw data to clipboard

Download »cpu_ram_usage.csv« as file

Correlation Heatmap Explanation

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.

How It Works

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:

• Positive correlation: Both variables increase or decrease together (e.g., if the temperature rises, ice cream sales increase).
• Negative correlation: As one variable increases, the other decreases (e.g., as the price of a product rises, the demand for it decreases).
• Zero correlation: There is no relationship between the two variables (e.g., height and shoe size might show zero correlation in some contexts).

Color Scale: Yellow to Purple (Viridis)

The heatmap uses a color scale called "Viridis," which ranges from yellow to purple. Here's what the colors represent:

• Yellow (brightest): A strong positive correlation (close to +1). This indicates that as one variable increases, the other increases in a very predictable manner.
• Green: A moderate positive correlation. Variables are still positively related, but the relationship is not as strong.
• Blue: A weak or near-zero correlation. There is a small or no discernible relationship between the variables.
• Purple (darkest): A strong negative correlation (close to -1). This indicates that as one variable increases, the other decreases in a very predictable manner.

What the Heatmap Shows

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.

•  Job-Infos

Copy raw data to clipboard

Download »export.html« as file

<!DOCTYPE html>
<html lang='en'>
	<head>
		<meta charset='UTF-8'>
		<meta name='viewport' content='width=device-width, initial-scale=1.0'>
		<title>Exported &raquo;s4122485/CDBD_RialtoBridgeTimelapse_ft_10_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0&laquo; from OmniOpt2-Share</title>
		<script src='https://code.jquery.com/jquery-3.7.1.js'></script>
		<script src='https://cdnjs.cloudflare.com/ajax/libs/gridjs/6.2.0/gridjs.production.min.js'></script>
		<script src='https://cdn.jsdelivr.net/npm/plotly.js-dist@3.0.1/plotly.min.js'></script>
		<link rel='stylesheet' href='https://cdnjs.cloudflare.com/ajax/libs/gridjs/6.2.0/theme/mermaid.css'>
		<style>
			#share_path {
				color: black;
			}
			
			.debug_log_pre {
				min-width: 300px;
			}
			
			body.dark-mode {
				background-color: #1e1e1e; color: #fff;
			}
			
			.plot-container {
				margin-bottom: 2rem;
			}
			
			.spinner {
				border: 4px solid #f3f3f3;
				border-top: 4px solid #3498db;
				border-radius: 50%;
				width: 40px;
				height: 40px;
				animation: spin 2s linear infinite;
				margin: auto;
			}
			
			@keyframes spin {
				0% { transform: rotate(0deg); }
				100% { transform: rotate(360deg); }
			}
			
			.tabs {
				margin-bottom: 20px;
			}
			
			.tab-content {
				display: none;
			}
			
			.tab-content.active {
				display: block;
			}
			
			pre {
				color: #00CC00 !important;
				background-color: black !important;
				font-family: monospace !important;
				line-break: anywhere;
			}
			
			menu[role="tablist"] {
				display: flex;
				flex-wrap: wrap;
				gap: 4px;
				max-width: 100%;
				max-height: 100px;
				overflow: scroll;
			}
			
			menu[role="tablist"] button {
				white-space: nowrap;
				min-width: 100px;
			}
			
			.container {
				max-width: 100% !important;
			}
			
			.gridjs-sort {
				min-width: 1px !important;
			}
			
			td.gridjs-td {
				overflow: clip;
			}
			
			.title-bar-text {
				font-size: 22px;
				display: block ruby;
			}
			
			.title-bar {
				height: fit-content;
			}
			
			.window {
				width: fit-content;
				min-width: 100%;
			}
			
			.top_link {
				display: inline-block;
				padding: 5px 5px;
				background-color: #007bff; /* Blau, kannst du anpassen */
				color: white;
				text-decoration: none;
				font-size: 16px;
				font-weight: bold;
				border-radius: 6px;
				border: 2px solid #0056b3;
				text-align: center;
				transition: all 0.3s ease-in-out;
			}
			
			.top_link:hover {
				background-color: #0056b3;
				border-color: #004494;
			}
			
			.top_link:active {
				background-color: #003366;
				border-color: #002244;
			}
			
			button {
				color: black;
			}
			
			.share_folder_buttons {
				width: fit-content;
			}
			
			button {
				background: #fcfcfe;
				border-color: #919b9c;
				border-top-color: rgb(145, 155, 156);
				border-bottom-color: rgb(145, 155, 156);
				margin-right: -1px;
				border-bottom: 1px solid transparent;
				border-top: 1px solid #e68b2c;
				box-shadow: inset 0 2px #ffc73c;
			}
			
			button {
				padding-bottom: 2px;
				margin-top: -2px;
				background-color: #ece9d8;
				position: relative;
				z-index: 8;
				margin-left: -3px;
				margin-bottom: 1px;
			}
			
			.window {
				min-width: 1100px;
			}
			
			[role="tab"] {
				padding: 10px !important;
			}
			
			[role="tabpanel"] {
				min-width: fit-content;
			}
			
			select {
				border: 1px solid #7f9db9;
				background-image: url("data:image/svg+xml;charset=utf-8,%3Csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 -0.5 15 17' shape-rendering='crispEdges'%3E%3Cpath stroke='%23e6eefc' d='M0 0h1'/%3E%3Cpath stroke='%23d1e0fd' d='M1 0h1M0 1h1m3 0h2M2 3h1M2 4h1'/%3E%3Cpath stroke='%23cad8f9' d='M2 0h1M0 2h1'/%3E%3Cpath stroke='%23c4d3f7' d='M3 0h1M0 3h1M0 4h1'/%3E%3Cpath stroke='%23bfd0f8' d='M4 0h2M0 5h1'/%3E%3Cpath stroke='%23bdcef7' d='M6 0h1M0 6h1'/%3E%3Cpath stroke='%23baccf4' d='M7 0h1m6 2h1m-1 5h1m-1 1h1'/%3E%3Cpath stroke='%23b8cbf6' d='M8 0h1M0 7h1M0 8h1'/%3E%3Cpath stroke='%23b7caf5' d='M9 0h2M0 9h1'/%3E%3Cpath stroke='%23b5c8f7' d='M11 0h1'/%3E%3Cpath stroke='%23b3c7f5' d='M12 0h1'/%3E%3Cpath stroke='%23afc5f4' d='M13 0h1'/%3E%3Cpath stroke='%23dce6f9' d='M14 0h1'/%3E%3Cpath stroke='%23e1eafe' d='M1 1h1'/%3E%3Cpath stroke='%23dae6fe' d='M2 1h1M1 2h1'/%3E%3Cpath stroke='%23d4e1fc' d='M3 1h1M1 3h1M1 4h1'/%3E%3Cpath stroke='%23d0ddfc' d='M6 1h1M1 5h1'/%3E%3Cpath stroke='%23cedbfd' d='M7 1h1M4 2h2'/%3E%3Cpath stroke='%23cad9fd' d='M8 1h1M6 2h1M3 5h1'/%3E%3Cpath stroke='%23c8d8fb' d='M9 1h2'/%3E%3Cpath stroke='%23c5d6fc' d='M11 1h1M2 11h4'/%3E%3Cpath stroke='%23c2d3fc' d='M12 1h1m-2 1h1M1 11h1m0 1h2m-2 1h2'/%3E%3Cpath stroke='%23bccefa' d='M13 1h1m-1 1h1m-1 1h1m-1 1h1M3 15h4'/%3E%3Cpath stroke='%23b9c9f3' d='M14 1h1M3 16h4'/%3E%3Cpath stroke='%23d8e3fc' d='M2 2h1'/%3E%3Cpath stroke='%23d1defd' d='M3 2h1'/%3E%3Cpath stroke='%23c9d8fc' d='M7 2h1M4 3h3M4 4h3M3 6h1m1 0h2M1 7h1M1 8h1'/%3E%3Cpath stroke='%23c5d5fc' d='M8 2h1m-8 8h5'/%3E%3Cpath stroke='%23c5d3fc' d='M9 2h2'/%3E%3Cpath stroke='%23bed0fc' d='M12 2h1M8 3h1M8 4h1m-8 8h1m-1 1h1m0 1h1m1 0h3'/%3E%3Cpath stroke='%23cddbfc' d='M3 3h1M3 4h1M1 6h2'/%3E%3Cpath stroke='%23c8d5fb' d='M7 3h1M7 4h1'/%3E%3Cpath stroke='%23bbcefd' d='M9 3h4M9 4h4M8 5h1M7 6h1'/%3E%3Cpath stroke='%23bcccf3' d='M14 3h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23ceddfd' d='M2 5h1'/%3E%3Cpath stroke='%23c8d6fb' d='M4 5h4M1 9h3'/%3E%3Cpath stroke='%23bacdfc' d='M9 5h2m1 0h2M1 14h1'/%3E%3Cpath stroke='%23b9cdfb' d='M11 5h1M8 6h2m2 0h2m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%234d6185' d='M4 6h1m5 0h1M3 7h3m3 0h3M4 8h3m1 0h3M5 9h5m-4 1h3m-2 1h1'/%3E%3Cpath stroke='%23b7cdfc' d='M11 6h1m0 1h1m-1 1h1'/%3E%3Cpath stroke='%23cad8fd' d='M2 7h1M2 8h2'/%3E%3Cpath stroke='%23c1d3fb' d='M6 7h2M7 8h1M4 9h1'/%3E%3Cpath stroke='%23b6cefb' d='M8 7h1m2 1h1m-2 1h3m-2 1h2'/%3E%3Cpath stroke='%23b6cdfb' d='M13 9h1m-6 6h1'/%3E%3Cpath stroke='%23b9cbf3' d='M14 9h1'/%3E%3Cpath stroke='%23b4c8f6' d='M0 10h1'/%3E%3Cpath stroke='%23bdd3fb' d='M9 10h2m-4 4h1'/%3E%3Cpath stroke='%23b5cdfa' d='M13 10h1'/%3E%3Cpath stroke='%23b5c9f3' d='M14 10h1'/%3E%3Cpath stroke='%23b1c7f6' d='M0 11h1'/%3E%3Cpath stroke='%23c3d5fd' d='M6 11h1'/%3E%3Cpath stroke='%23bad4fc' d='M8 11h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23b2cffb' d='M9 11h4m-2 3h1'/%3E%3Cpath stroke='%23b1cbfa' d='M13 11h1m-3 4h1'/%3E%3Cpath stroke='%23b3c8f5' d='M14 11h1m-7 5h3'/%3E%3Cpath stroke='%23adc3f6' d='M0 12h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23c2d5fc' d='M4 12h4m-4 1h4'/%3E%3Cpath stroke='%23b7d3fc' d='M9 12h2m-2 1h2m-3 1h1'/%3E%3Cpath stroke='%23b3d1fc' d='M11 12h1m-1 1h1'/%3E%3Cpath stroke='%23afcdfb' d='M12 12h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23afcbfa' d='M13 12h1m-1 1h1'/%3E%3Cpath stroke='%23b2c8f4' d='M14 12h1m-1 1h1m-4 3h1'/%3E%3Cpath stroke='%23c1d2fb' d='M3 14h1'/%3E%3Cpath stroke='%23b6d1fb' d='M9 14h2'/%3E%3Cpath stroke='%23adc9f9' d='M13 14h1m-2 1h1'/%3E%3Cpath stroke='%23b1c6f3' d='M14 14h1m-3 2h1'/%3E%3Cpath stroke='%23abc1f4' d='M0 15h1'/%3E%3Cpath stroke='%23b7cbf9' d='M1 15h1'/%3E%3Cpath stroke='%23b9cefb' d='M2 15h1'/%3E%3Cpath stroke='%23b9cffb' d='M7 15h1'/%3E%3Cpath stroke='%23b2cdfb' d='M9 15h2'/%3E%3Cpath stroke='%23aec8f7' d='M13 15h1'/%3E%3Cpath stroke='%23b0c5f2' d='M14 15h1m-2 1h1'/%3E%3Cpath stroke='%23dbe3f8' d='M0 16h1'/%3E%3Cpath stroke='%23b7c6f1' d='M1 16h1'/%3E%3Cpath stroke='%23b8c9f2' d='M2 16h1m4 0h1'/%3E%3Cpath stroke='%23d9e3f6' d='M14 16h1'/%3E%3C/svg%3E");
				background-size: 15px;
				font-size: 11px;
				border: none;
				background-color: #fff;
				box-sizing: border-box;
				height: 21px;
				appearance: none;
				-webkit-appearance: none;
				-moz-appearance: none;
				position: relative;
				padding: 5px 32px 32px 5px;
				background-position: top 50% right 2px;
				background-repeat: no-repeat;
				border-radius: 0;
				border: 1px solid black;
			}
			

			body {
				font-variant: oldstyle-nums;
				font-family: 'IBM Plex Sans', 'Source Sans Pro', sans-serif;
				background-color: #fafafa;
				text-shadow: 0 0.05em 0.1em rgba(0,0,0,0.2);
				scroll-behavior: smooth;
				text-wrap: balance;
				text-rendering: optimizeLegibility;
				-webkit-font-smoothing: antialiased;
				-moz-osx-font-smoothing: grayscale;
				font-feature-settings: "ss02", "liga", "onum";
			}
			
			.marked_text {
				background-color: yellow;
			}
			
			.time_picker_container {
				font-variant: small-caps;
				width: 100%;
			}
			
			.time_picker_container > input {
				width: 50px;
			}
			
			#loader {
				display: grid;
				justify-content: center;
				align-items: center;
				height: 100%;
			}
			
			.no_linebreak {
				line-break: auto;
			}
			
			.dark_code_bg {
				background-color: #363636;
				color: white;
			}
			
			.code_bg {
				background-color: #C0C0C0;
			}
			
			#commands {
				line-break: anywhere;
			}
			
			.color_red {
				color: red;
			}
			
			.color_orange {
				color: orange;
			}
			
			table > tbody > tr:nth-child(odd) {
				background-color: #fafafa;
			}
			
			table > tbody > tr:nth-child(even) {
				background-color: #ddd;
			}
			
			table {
				border-collapse: collapse;
				margin: 0 0;
				min-width: 200px;
			}
			
			th {
				background-color: #4eae46;
				color: #ffffff;
				text-align: left;
				border: 0px;
			}
			
			.error_element {
				background-color: #e57373;
				border-radius: 10px;
				padding: 4px;
				display: none;
			}
			
			button {
				background-color: #4eae46;
				border: 1px solid #2A8387;
				border-radius: 4px;
				box-shadow: rgba(0, 0, 0, 0.12) 0 1px 1px;
				cursor: pointer;
				display: block;
				line-height: 100%;
				outline: 0;
				padding: 11px 15px 12px;
				text-align: center;
				transition: box-shadow .05s ease-in-out, opacity .05s ease-in-out;
				user-select: none;
				-webkit-user-select: none;
				touch-action: manipulation;
				font-family: 'IBM Plex Sans', 'Source Sans Pro', sans-serif;
			}
			
			button:hover {
				box-shadow: rgba(255, 255, 255, 0.3) 0 0 2px inset, rgba(0, 0, 0, 0.4) 0 1px 2px;
				text-decoration: none;
				transition-duration: .15s, .15s;
			}
			
			button:active {
				box-shadow: rgba(0, 0, 0, 0.15) 0 2px 4px inset, rgba(0, 0, 0, 0.4) 0 1px 1px;
			}
			
			button:disabled {
				cursor: not-allowed;
				opacity: .6;
			}
			
			button:disabled:active {
				pointer-events: none;
			}
			
			button:disabled:hover {
				box-shadow: none;
			}
			
			.half_width_td {
				vertical-align: baseline;
				width: 50%;
			}
			
			#scads_bar {
				width: 100%;
				margin: 0;
				padding: 0;
				user-select: none;
				user-drag: none;
				-webkit-user-drag: none;
				user-select: none;
				-moz-user-select: none;
				-webkit-user-select: none;
				-ms-user-select: none;
				display: -webkit-box;
			}
			
			.tab {
				display: inline-block;
				padding: 0px;
				margin: 0px;
				font-size: 16px;
				font-weight: bold;
				text-align: center;
				border-radius: 25px;
				text-decoration: none !important;
				transition: background-color 0.3s, color 0.3s;
				color: unset !important;
			}
			
			.tooltipster-base {
				border: 1px solid black;
				position: absolute;
				border-radius: 8px;
				padding: 2px;
				color: white;
				background-color: #61686f;
				width: 70%;
				min-width: 200px;
				pointer-events: none;
			}
			
			td {
				padding-top: 3px;
				padding-bottom: 3px;
			}
			
			.left_side {
				text-align: right;
			}
			
			.right_side {
				text-align: left;
			}
			
			.spinner {
				border: 8px solid rgba(0, 0, 0, 0.1);
				border-left: 8px solid #3498db;
				border-radius: 50%;
				width: 50px;
				height: 50px;
				animation: spin 1s linear infinite;
			}
			
			@keyframes spin {
				0% {
					transform: rotate(0deg);
				}
			
				100% {
					transform: rotate(360deg);
				}
			}
			
			#spinner-overlay {
				-webkit-text-stroke: 1px black;
				white !important;
				position: fixed;
				top: 0;
				left: 0;
				width: 100%;
				height: 100%;
				display: flex;
				justify-content: center;
				align-items: center;
				z-index: 9999;
			}
			
			#spinner-container {
				text-align: center;
				color: #fff;
				display: contents;
			}
			
			#spinner-text {
				font-size: 3vw;
				margin-left: 10px;
			}
			
			a, a:visited, a:active, a:hover, a:link {
				color: #007bff;
				text-decoration: none;
			}
			
			.copy-container {
				display: inline-block;
				position: relative;
				cursor: pointer;
				margin-left: 10px;
				color: blue;
			}
			
			.copy-container:hover {
				text-decoration: underline;
			}
			
			.clipboard-icon {
				position: absolute;
				top: 5px;
				right: 5px;
				font-size: 1.5em;
			}
			
			#main_tab {
				overflow: scroll;
				width: max-content;
			}
			
			.ui-tabs .ui-tabs-nav li {
				user-select: none;
			}
			
			.stacktrace_table {
				background-color: black !important;
				color: white !important;
			}
			
			#breadcrumb {
				user-select: none;
			}
			
			#statusBar {
				user-select: none;
			}
			
			.error_line {
				background-color: red !important;
				color: white !important;
			}
			
			.header_table {
				border: 0px !important;
				padding: 0px !important;
				width: revert !important;
				min-width: revert !important;
			}
			
			.img_auto_width {
				max-width: revert !important;
			}
			
			#main_dir_or_plot_view {
				display: inline-grid;
			}
			
			#refresh_button {
				width: 300px;
			}
			
			._share_link {
				color: black !important;
			}
			
			#footer_element {
				height: 30px;
				background-color: #f8f9fa;
				padding: 0px;
				text-align: center;
				border-top: 1px solid #dee2e6;
				width: 100%;
				box-sizing: border-box;
				position: fixed;
				bottom: 0;
				z-index: 2;
				margin-left: -9px;
				z-index: 99;
			}
			
			.switch {
				position: relative;
				display: inline-block;
				width: 50px;
				height: 26px;
			}
			
			.switch input {
				opacity: 0;
				width: 0;
				height: 0;
			}
			
			.slider {
				position: absolute;
				cursor: pointer;
				top: 0;
				left: 0;
				right: 0;
				bottom: 0;
				background-color: #ccc;
				transition: .4s;
				border-radius: 26px;
			}
			
			.slider:before {
				position: absolute;
				content: "";
				height: 20px;
				width: 20px;
				left: 3px;
				bottom: 3px;
				background-color: white;
				transition: .4s;
				border-radius: 50%;
			}
			
			input:checked + .slider {
				background-color: #444;
			}
			
			input:checked + .slider:before {
				transform: translateX(24px);
			}
			
			.mode-text {
				position: absolute;
				top: 5px;
				left: 65px;
				font-size: 14px;
				color: black;
				transition: .4s;
				width: 65px;
				display: block;
				font-size: 0.7rem;
				text-align: center;
			}
			
			input:checked + .slider .mode-text {
				content: "Dark Mode";
				color: white;
			}
			
			#mainContent {
				height: fit-content;
				min-height: 100%;
			}
			
			li {
				text-align: left;
			}
			
			#share_path {
				margin-bottom: 20px;
				margin-top: 20px;
			}
			
			#sortForm {
				margin-bottom: 20px;
			}
			
			.share_folder_buttons {
				margin-top: 10px;
				margin-bottom: 10px;
			}
			
			.nav_tab_button {
				margin: 10px;
			}
			
			.header_table {
				margin: 10px;
			}
			
			.no_border {
				border: unset !important;
			}
			
			.gui_table {
				padding: 5px !important;
			}
			
			.gui_parameter_row {
			}
			
			.gui_parameter_row_cell {
				border: unset !important;
			}
			
			.gui_param_table {
				width: 95%;
				margin: unset !important;
			}
			
			table td, table tr,
			.parameterRow table {
				padding: 2px !important;
			}
			
			.parameterRow table {
				margin: 0px;
				border: unset;
			}
			
			.parameterRow > td {
				border: 0px !important;
			}
			
			.parameter_config_table td, .parameter_config_table tr, #config_table th, #config_table td, #hidden_config_table th, #hidden_config_table td {
				border: 0px !important;
			}
			
			.green_text {
				color: green;
			}
			
			.remove_parameter {
				white-space: pre;
			}
			
			select {
				appearance: none;
				-webkit-appearance: none;
				-moz-appearance: none;
				background-color: #fff;
				color: #222;
				padding: 5px 30px 5px 5px;
				border: 1px solid #555;
				border-radius: 5px;
				cursor: pointer;
				outline: none;
				transition: all 0.3s ease;
				background:
					url("data:image/svg+xml;charset=UTF-8,%3Csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 10 6'%3E%3Cpath fill='%23888' d='M0 0l5 6 5-6z'/%3E%3C/svg%3E")
					no-repeat right 10px center,
				linear-gradient(180deg, #fff, #ecebe5 86%, #d8d0c4);
				background-size: 12px, auto;
			}
			
			select:hover {
				border-color: #888;
			}
			
			select:focus {
				border-color: #4caf50;
				box-shadow: 0 0 5px rgba(76, 175, 80, 0.5);
			}
			
			select::-ms-expand {
				display: none;
			}
			
			input, textarea {
				border-radius: 5px;
			}
			
			#search {
				width: 200px;
				max-width: 70%;
				background-image: url(images/search.svg);
				background-repeat: no-repeat;
				background-size: auto 40px;
				height: 40px;
				line-height: 40px;
				padding-left: 40px;
				box-sizing: border-box;
			}
			
			input[type="checkbox"] {
				appearance: none;
				-webkit-appearance: none;
				-moz-appearance: none;
				width: 25px;
				height: 25px;
				border: 2px solid #3498db;
				border-radius: 5px;
				background-color: #fff;
				position: relative;
				cursor: pointer;
				transition: all 0.3s ease;
				width: 25px !important;
			}
			
			input[type="checkbox"]:checked {
				background-color: #3498db;
				border-color: #2980b9;
			}
			
			input[type="checkbox"]:checked::before {
				content: '✔';
				position: absolute;
				left: 4px;
				top: 2px;
				color: #fff;
			}
			
			input[type="checkbox"]:hover {
				border-color: #2980b9;
				background-color: #3caffc;
			}
			
			.toc {
				margin-bottom: 20px;
			}
			
			.toc li {
				margin-bottom: 5px;
			}
			
			.toc a {
				text-decoration: none;
				color: #007bff;
			}
			
			.toc a:hover {
				text-decoration: underline;
			}
			
			.table-container {
				width: 100%;
				overflow-x: auto;
			}
			
			.section-header {
				background-color: #1d6f9a !important;
				color: white;
			}
			
			.warning {
				color: red;
			}
			
			.li_list a {
				text-decoration: none;
			}
			
			.gridjs-td {
				white-space: nowrap;
			}
			
			th, td {
				border: 1px solid gray !important;
			}
			
			.no_border {
				border: 0px !important;
			}
			
			.no_break {
			
			}
			
			img {
				user-select: none;
				pointer-events: none;
			}
			
			#config_table, #hidden_config_table {
				user-select: none;
			}
			
			.copy_clipboard_button {
				margin-bottom: 10px;
			}
			
			.badge_table {
				background-color: unset !important;
			}
			
			.make_markable {
				user-select: text;
			}
			
			.header-container {
				display: flex;
				flex-wrap: wrap;
				align-items: center;
				justify-content: space-between;
				gap: 1rem;
				padding: 10px;
				background: var(--header-bg, #fff);
				border-bottom: 1px solid #ccc;
			}
			
			.header-logo-group {
				display: flex;
				gap: 1rem;
				align-items: center;
				flex: 1 1 auto;
				min-width: 200px;
			}
			
			.logo-img {
				max-height: 45px;
				height: auto;
				width: auto;
				object-fit: contain;
				pointer-events: unset;
			}
			
			.header-badges {
				flex-direction: column;
				gap: 5px;
				align-items: flex-start;
				flex: 0 1 auto;
				margin-top: auto;
				margin-bottom: auto;
			}
			
			.badge-img {
				height: auto;
				max-width: 130px;
				margin-top: 3px;
			}
			
			.header-tabs {
				margin-top: 10px;
				display: flex;
				flex-wrap: wrap;
				gap: 10px;
				flex: 2 1 100%;
				justify-content: center;
			}
			
			.nav-tab {
				display: inline-block;
				text-decoration: none;
				padding: 8px 16px;
				border-radius: 20px;
				background: linear-gradient(to right, #4a90e2, #357ABD);
				color: white;
				font-weight: bold;
				white-space: nowrap;
				transition: background 0.2s ease-in-out, transform 0.2s;
				box-shadow: 0 2px 4px rgba(0,0,0,0.2);
			}
			
			.nav-tab:hover {
				background: linear-gradient(to right, #5aa0f2, #4a90e2);
				transform: translateY(-2px);
			}
			
			.current-tag {
				padding-left: 10px;
				font-size: 0.9rem;
				color: #666;
			}
			
			.header-theme-toggle {
				flex: 1 1 auto;
				align-items: center;
				margin-top: 20px;
				min-width: 120px;
			}
			
			.switch {
				position: relative;
				display: inline-block;
				width: 60px;
				height: 30px;
			}
			
			.switch input {
				display: none;
			}
			
			.slider {
				position: absolute;
				top: 0; left: 0; right: 0; bottom: 0;
				background-color: #ccc;
				border-radius: 34px;
				cursor: pointer;
			}
			
			.slider::before {
				content: "";
				position: absolute;
				height: 24px;
				width: 24px;
				left: 3px;
				bottom: 3px;
				background-color: white;
				transition: .4s;
				border-radius: 50%;
			}
			
			input:checked + .slider {
				background-color: #2196F3;
			}
			
			input:checked + .slider::before {
				transform: translateX(30px);
			}
			
			@media (max-width: 768px) {
				.header-logo-group,
				.header-badges,
				.header-theme-toggle {
					justify-content: center;
					flex: 1 1 100%;
					text-align: center;
					width: inherit;
				}
			
				.logo-img {
					max-height: 50px;
					pointer-events: unset;
				}
			
				.badge-img {
					max-width: 100px;
				}
			
				.hide_on_mobile {
					display: none;
				}
			
				.nav-tab {
					font-size: 0.9rem;
					padding: 6px 12px;
				}
			
				.header_button {
					white-space: pre;
					font-size: 2em;
				}
			}
			
			.header_button {
				white-space: pre;
				margin-top: 20px;
				margin: 5px;
			}
			
			.line_break_anywhere {
				line-break: anywhere;
			}
			
			.responsive-container {
				display: flex;
				flex-wrap: wrap;
				justify-content: space-between;
				gap: 20px;
			}
			
			.responsive-container .half {
				flex: 1 1 48%;
				box-sizing: border-box;
				min-width: 500px;
			}
			
			.config-section table {
				width: 100%;
				border-collapse: collapse;
			}
			
			@media (max-width: 768px) {
				.responsive-container .half {
					flex: 1 1 100%;
				}
			}
			
			@keyframes spin {
				0% {
					transform: rotate(0deg);
				}
			
				100% {
					transform: rotate(360deg);
				}
			}
			
			.rotate {
				animation: spin 2s linear infinite;
				display: inline-block;
			}
			
			input::placeholder {
				font-family: 'IBM Plex Sans', 'Source Sans Pro', sans-serif;
			}
			
			.gridjs-th-content {
				overflow: visible !important;
			}
			
			.error_text {
				color: red;
			}
			
			h1, h2, h3, h4, h5, h6 {
				margin-top: 1em;
				font-weight: bold;
				color: #333;
				border-left: 5px solid #ccc;
				padding-left: 0.5em;
			}
			
			.no_cursive {
				font-style: normal;	
			}
			
			.caveat {
				background-color: #fff8b3;
				border: 1px solid #f2d600;
				padding: 1em 1em 1em 70px;
				position: relative;
				font-family: sans-serif;
				color: #665500;
				margin: 1em 0;
				border-radius: 4px;
			}
			
			.caveat h1, .caveat h2, .caveat h3, .caveat h4 {
				margin-top: 0;
				margin-bottom: 0.5em;
				font-weight: bold;
			}
			
			.caveat::before {
				content: "⚠️";
				font-size: 50px;
				line-height: 1;
				position: absolute;
				left: 10px;
				top: 50%;
				transform: translateY(-50%);
				pointer-events: none;
				user-select: none;
			}
			
			.caveat.warning::before { content: "⚠️"; }
			.caveat.stop::before { content: "🛑"; }
			.caveat.exclamation::before { content: "❗"; }
			.caveat.alarm::before { content: "🚨"; }
			.caveat.tip::before { content: "💡"; }
			
			.tutorial_icon {
				display: inline-block;
				font-size: 1.3em;
				line-height: 1;
				vertical-align: middle;
				transform: translateY(-10%);
				padding: 0.2em 0;
			}
			
			.highlight {
				background-color: yellow;
				font-weight: bold;
			}
			
			#searchResults li {
				opacity: 0;
				transform: translateY(8px);
				animation: fadeInUp 0.3s ease-out forwards;
				animation-delay: 0.05s;
				list-style: none;
				margin-bottom: 5px;
			}
			
			@keyframes fadeInUp {
				to {
					opacity: 1;
					transform: translateY(0);
				}
			}
			
			.search_headline {
				font-weight: bold;
				margin-top: 1em;
				margin-bottom: 0.3em;
				color: #444;
			}
			
			.search_share_path {
				color: black;
				display: block ruby;
				margin-top: 20px;
			}
			
			@media print {
				#scads_bar {
					display: none !important;
				}
			}
			

			/*! XP.css v0.2.6 - https: //botoxparty.github.io/XP.css/ */
			body{
				color: #222
			}
			
			.surface{
				background: #ece9d8
			}
			
			u{
				text-decoration: none;
				border-bottom: .5px solid #222
			}
			
			a{
				color: #00f
			}
			
			a: focus{
				outline: 1px dotted #00f
			}
			
			code,code *{
				font-family: monospace
			}
			
			pre{
				display: block;
				padding: 12px 8px;
				background-color: #000;
				color: silver;
				font-size: 1rem;
				margin: 0;
				overflow: scroll;
			}
			
			summary: focus{
				outline: 1px dotted #000
			}
			
			: :-webkit-scrollbar{
				width: 16px
			}
			
			: :-webkit-scrollbar: horizontal{
				height: 17px
			}
			
			: :-webkit-scrollbar-track{
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg width='2' height='2' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M1 0H0v1h1v1h1V1H1V0z' fill='silver'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M2 0H1v1H0v1h1V1h1V0z' fill='%23fff'/%3E%3C/svg%3E")
			}
			
			: :-webkit-scrollbar-thumb{
				background-color: #dfdfdf;
				box-shadow: inset -1px -1px #0a0a0a,inset 1px 1px #fff,inset -2px -2px grey,inset 2px 2px #dfdfdf
			}
			
			: :-webkit-scrollbar-button: horizontal: end: increment,: :-webkit-scrollbar-button: horizontal: start: decrement,: :-webkit-scrollbar-button: vertical: end: increment,: :-webkit-scrollbar-button: vertical: start: decrement{
				display: block
			}
			
			: :-webkit-scrollbar-button: vertical: start{
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg width='16' height='17' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M15 0H0v16h1V1h14V0z' fill='%23DFDFDF'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M2 1H1v14h1V2h12V1H2z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M16 17H0v-1h15V0h1v17z' fill='%23000'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M15 1h-1v14H1v1h14V1z' fill='gray'/%3E%3Cpath fill='silver' d='M2 2h12v13H2z'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M8 6H7v1H6v1H5v1H4v1h7V9h-1V8H9V7H8V6z' fill='%23000'/%3E%3C/svg%3E")
			}
			
			: :-webkit-scrollbar-button: vertical: end{
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg width='16' height='17' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M15 0H0v16h1V1h14V0z' fill='%23DFDFDF'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M2 1H1v14h1V2h12V1H2z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M16 17H0v-1h15V0h1v17z' fill='%23000'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M15 1h-1v14H1v1h14V1z' fill='gray'/%3E%3Cpath fill='silver' d='M2 2h12v13H2z'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M11 6H4v1h1v1h1v1h1v1h1V9h1V8h1V7h1V6z' fill='%23000'/%3E%3C/svg%3E")
			}
			
			: :-webkit-scrollbar-button: horizontal: start{
				width: 16px;
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg width='16' height='17' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M15 0H0v16h1V1h14V0z' fill='%23DFDFDF'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M2 1H1v14h1V2h12V1H2z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M16 17H0v-1h15V0h1v17z' fill='%23000'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M15 1h-1v14H1v1h14V1z' fill='gray'/%3E%3Cpath fill='silver' d='M2 2h12v13H2z'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M9 4H8v1H7v1H6v1H5v1h1v1h1v1h1v1h1V4z' fill='%23000'/%3E%3C/svg%3E")
			}
			
			: :-webkit-scrollbar-button: horizontal: end{
				width: 16px;
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg width='16' height='17' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M15 0H0v16h1V1h14V0z' fill='%23DFDFDF'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M2 1H1v14h1V2h12V1H2z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M16 17H0v-1h15V0h1v17z' fill='%23000'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M15 1h-1v14H1v1h14V1z' fill='gray'/%3E%3Cpath fill='silver' d='M2 2h12v13H2z'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M7 4H6v7h1v-1h1V9h1V8h1V7H9V6H8V5H7V4z' fill='%23000'/%3E%3C/svg%3E")
			}
			
			button{
				border: none;
				background: #ece9d8;
				box-shadow: inset -1px -1px #0a0a0a,inset 1px 1px #fff,inset -2px -2px grey,inset 2px 2px #dfdfdf;
				border-radius: 0;
				min-width: 75px;
				min-height: 23px;
				padding: 0 12px
			}
			
			button: not(: disabled).active,button: not(: disabled): active{
				box-shadow: inset -1px -1px #fff,inset 1px 1px #0a0a0a,inset -2px -2px #dfdfdf,inset 2px 2px grey
			}
			
			button.focused,button: focus{
				outline: 1px dotted #000;
				outline-offset: -4px
			}
			
			label{
				display: inline-flex;
				align-items: center
			}
			
			textarea{
				padding: 3px 4px;
				border: none;
				background-color: #fff;
				box-sizing: border-box;
				-webkit-appearance: none;
				-moz-appearance: none;
				appearance: none;
				border-radius: 0
			}
			
			textarea: focus{
				outline: none
			}
			
			select: focus option{
				color: #000;
				background-color: #fff
			}
			
			.vertical-bar{
				width: 4px;
				height: 20px;
				background: silver;
				box-shadow: inset -1px -1px #0a0a0a,inset 1px 1px #fff,inset -2px -2px grey,inset 2px 2px #dfdfdf
			}
			
			&: disabled,&: disabled+label{
				color: grey;
				text-shadow: 1px 1px 0 #fff
			}
			
			input[type=radio]+label{
				line-height: 13px;
				position: relative;
				margin-left: 19px
			}
			
			input[type=radio]+label: before{
				content: "";
				position: absolute;
				top: 0;
				left: -19px;
				display: inline-block;
				width: 13px;
				height: 13px;
				margin-right: 6px;
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='12' height='12' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M8 0H4v1H2v1H1v2H0v4h1v2h1V8H1V4h1V2h2V1h4v1h2V1H8V0z' fill='gray'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M8 1H4v1H2v2H1v4h1v1h1V8H2V4h1V3h1V2h4v1h2V2H8V1z' fill='%23000'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M9 3h1v1H9V3zm1 5V4h1v4h-1zm-2 2V9h1V8h1v2H8zm-4 0v1h4v-1H4zm0 0V9H2v1h2z' fill='%23DFDFDF'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M11 2h-1v2h1v4h-1v2H8v1H4v-1H2v1h2v1h4v-1h2v-1h1V8h1V4h-1V2z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M4 2h4v1h1v1h1v4H9v1H8v1H4V9H3V8H2V4h1V3h1V2z' fill='%23fff'/%3E%3C/svg%3E")
			}
			
			input[type=radio]: active+label: before{
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='12' height='12' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M8 0H4v1H2v1H1v2H0v4h1v2h1V8H1V4h1V2h2V1h4v1h2V1H8V0z' fill='gray'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M8 1H4v1H2v2H1v4h1v1h1V8H2V4h1V3h1V2h4v1h2V2H8V1z' fill='%23000'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M9 3h1v1H9V3zm1 5V4h1v4h-1zm-2 2V9h1V8h1v2H8zm-4 0v1h4v-1H4zm0 0V9H2v1h2z' fill='%23DFDFDF'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M11 2h-1v2h1v4h-1v2H8v1H4v-1H2v1h2v1h4v-1h2v-1h1V8h1V4h-1V2z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M4 2h4v1h1v1h1v4H9v1H8v1H4V9H3V8H2V4h1V3h1V2z' fill='silver'/%3E%3C/svg%3E")
			}
			
			input[type=radio]: checked+label: after{
				content: "";
				display: block;
				width: 5px;
				height: 5px;
				top: 5px;
				left: -14px;
				position: absolute;
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='4' height='4' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M3 0H1v1H0v2h1v1h2V3h1V1H3V0z' fill='%23000'/%3E%3C/svg%3E")
			}
			
			input[type=radio][disabled]+label: before{
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='12' height='12' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M8 0H4v1H2v1H1v2H0v4h1v2h1V8H1V4h1V2h2V1h4v1h2V1H8V0z' fill='gray'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M8 1H4v1H2v2H1v4h1v1h1V8H2V4h1V3h1V2h4v1h2V2H8V1z' fill='%23000'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M9 3h1v1H9V3zm1 5V4h1v4h-1zm-2 2V9h1V8h1v2H8zm-4 0v1h4v-1H4zm0 0V9H2v1h2z' fill='%23DFDFDF'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M11 2h-1v2h1v4h-1v2H8v1H4v-1H2v1h2v1h4v-1h2v-1h1V8h1V4h-1V2z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M4 2h4v1h1v1h1v4H9v1H8v1H4V9H3V8H2V4h1V3h1V2z' fill='silver'/%3E%3C/svg%3E")
			}
			
			input[type=radio][disabled]: checked+label: after{
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='4' height='4' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M3 0H1v1H0v2h1v1h2V3h1V1H3V0z' fill='gray'/%3E%3C/svg%3E")
			}
			
			input[type=email],input[type=password]{
				padding: 3px 4px;
				border: 1px solid #7f9db9;
				background-color: #fff;
				box-sizing: border-box;
				-webkit-appearance: none;
				-moz-appearance: none;
				appearance: none;
				border-radius: 0;
				height: 21px;
				line-height: 2
			}
			
			input[type=email]: focus,input[type=password]: focus{
				outline: none
			}
			
			input[type=range]{
				-webkit-appearance: none;
				width: 100%;
				background: transparent
			}
			
			input[type=range]: focus{
				outline: none
			}
			
			input[type=range]: :-webkit-slider-thumb{
				-webkit-appearance: none;
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='11' height='21' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M0 0v16h2v2h2v2h1v-1H3v-2H1V1h9V0z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M1 1v15h1v1h1v1h1v1h2v-1h1v-1h1v-1h1V1z' fill='%23C0C7C8'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M9 1h1v15H8v2H6v2H5v-1h2v-2h2z' fill='%2387888F'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M10 0h1v16H9v2H7v2H5v1h1v-2h2v-2h2z' fill='%23000'/%3E%3C/svg%3E")
			}
			
			input[type=range]: :-moz-range-thumb{
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='11' height='21' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M0 0v16h2v2h2v2h1v-1H3v-2H1V1h9V0z' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M1 1v15h1v1h1v1h1v1h2v-1h1v-1h1v-1h1V1z' fill='%23C0C7C8'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M9 1h1v15H8v2H6v2H5v-1h2v-2h2z' fill='%2387888F'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M10 0h1v16H9v2H7v2H5v1h1v-2h2v-2h2z' fill='%23000'/%3E%3C/svg%3E")
			}
			
			input[type=range]: :-webkit-slider-runnable-track{
				background: #000;
				border-right: 1px solid grey;
				border-bottom: 1px solid grey;
				box-shadow: 1px 0 0 #fff,1px 1px 0 #fff,0 1px 0 #fff,-1px 0 0 #a9a9a9,-1px -1px 0 #a9a9a9,0 -1px 0 #a9a9a9,-1px 1px 0 #fff,1px -1px #a9a9a9
			}
			
			input[type=range]: :-moz-range-track{
				background: #000;
				border-right: 1px solid grey;
				border-bottom: 1px solid grey;
				box-shadow: 1px 0 0 #fff,1px 1px 0 #fff,0 1px 0 #fff,-1px 0 0 #a9a9a9,-1px -1px 0 #a9a9a9,0 -1px 0 #a9a9a9,-1px 1px 0 #fff,1px -1px #a9a9a9
			}
			
			input[type=range].has-box-indicator: :-webkit-slider-thumb{
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='11' height='21' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M0 0v20h1V1h9V0z' fill='%23fff'/%3E%3Cpath fill='%23C0C7C8' d='M1 1h8v18H1z'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M9 1h1v19H1v-1h8z' fill='%2387888F'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M10 0h1v21H0v-1h10z' fill='%23000'/%3E%3C/svg%3E")
			}
			
			input[type=range].has-box-indicator: :-moz-range-thumb{
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg width='11' height='21' fill='none' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M0 0v20h1V1h9V0z' fill='%23fff'/%3E%3Cpath fill='%23C0C7C8' d='M1 1h8v18H1z'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M9 1h1v19H1v-1h8z' fill='%2387888F'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M10 0h1v21H0v-1h10z' fill='%23000'/%3E%3C/svg%3E")
			}
			
			.is-vertical{
				display: inline-block;
				width: 4px;
				height: 150px;
				transform: translateY(50%)
			}
			
			.is-vertical>input[type=range]{
				width: 150px;
				height: 4px;
				margin: 0 16px 0 10px;
				transform-origin: left;
				transform: rotate(270deg) translateX(calc(-50% + 8px))
			}
			
			.is-vertical>input[type=range]: :-webkit-slider-runnable-track{
				border-left: 1px solid grey;
				border-bottom: 1px solid grey;
				box-shadow: -1px 0 0 #fff,-1px 1px 0 #fff,0 1px 0 #fff,1px 0 0 #a9a9a9,1px -1px 0 #a9a9a9,0 -1px 0 #a9a9a9,1px 1px 0 #fff,-1px -1px #a9a9a9
			}
			
			.is-vertical>input[type=range]: :-moz-range-track{
				border-left: 1px solid grey;
				border-bottom: 1px solid grey;
				box-shadow: -1px 0 0 #fff,-1px 1px 0 #fff,0 1px 0 #fff,1px 0 0 #a9a9a9,1px -1px 0 #a9a9a9,0 -1px 0 #a9a9a9,1px 1px 0 #fff,-1px -1px #a9a9a9
			}
			
			.is-vertical>input[type=range]: :-webkit-slider-thumb{
				transform: translateY(-8px) scaleX(-1)
			}
			
			.is-vertical>input[type=range]: :-moz-range-thumb{
				transform: translateY(2px) scaleX(-1)
			}
			
			.is-vertical>input[type=range].has-box-indicator: :-webkit-slider-thumb{
				transform: translateY(-10px) scaleX(-1)
			}
			
			.is-vertical>input[type=range].has-box-indicator: :-moz-range-thumb{
				transform: translateY(0) scaleX(-1)
			}
			
			.window{
				font-size: 11px;
				box-shadow: inset -1px -1px #0a0a0a,inset 1px 1px #dfdfdf,inset -2px -2px grey,inset 2px 2px #fff;
				background: #ece9d8;
				padding: 3px
			}
			
			.window fieldset{
				margin-bottom: 9px
			}
			
			.title-bar{
				background: #000;
				padding: 3px 2px 3px 3px;
				display: flex;
				justify-content: space-between;
				align-items: center
			}
			
			.title-bar-text{
				font-weight: 700;
				color: #fff;
				letter-spacing: 0;
				margin-right: 24px
			}
			
			.title-bar-controls button{
				padding: 0;
				display: block;
				min-width: 16px;
				min-height: 14px
			}
			
			.title-bar-controls button: focus{
				outline: none
			}
			
			.window-body{
				margin: 8px
			}
			
			.window-body pre{
				margin: -8px
			}
			
			.status-bar{
				margin: 0 1px;
				display: flex;
				gap: 1px
			}
			
			.status-bar-field{
				box-shadow: inset -1px -1px #dfdfdf,inset 1px 1px grey;
				flex-grow: 1;
				padding: 2px 3px;
				margin: 0
			}
			
			ul.tree-view{
				display: block;
				background: #fff;
				padding: 6px;
				margin: 0
			}
			
			ul.tree-view li{
				list-style-type: none;
				margin-top: 3px
			}
			
			ul.tree-view a{
				text-decoration: none;
				color: #000
			}
			
			ul.tree-view a: focus{
				background-color: #2267cb;
				color: #fff
			}
			
			ul.tree-view ul{
				margin-top: 3px;
				margin-left: 16px;
				padding-left: 16px;
				border-left: 1px dotted grey
			}
			
			ul.tree-view ul>li{
				position: relative
			}
			
			ul.tree-view ul>li: before{
				content: "";
				display: block;
				position: absolute;
				left: -16px;
				top: 6px;
				width: 12px;
				border-bottom: 1px dotted grey
			}
			
			ul.tree-view ul>li: last-child: after{
				content: "";
				display: block;
				position: absolute;
				left: -20px;
				top: 7px;
				bottom: 0;
				width: 8px;
				background: #fff
			}
			
			ul.tree-view ul details>summary: before{
				margin-left: -22px;
				position: relative;
				z-index: 1
			}
			
			ul.tree-view details{
				margin-top: 0
			}
			
			ul.tree-view details>summary: before{
				text-align: center;
				display: block;
				float: left;
				content: "+";
				border: 1px solid grey;
				width: 8px;
				height: 9px;
				line-height: 9px;
				margin-right: 5px;
				padding-left: 1px;
				background-color: #fff
			}
			
			ul.tree-view details[open] summary{
				margin-bottom: 0
			}
			
			ul.tree-view details[open]>summary: before{
				content: "-"
			}
			
			fieldset{
				border-image: url("data: image/svg+xml;charset=utf-8,%3Csvg width='5' height='5' fill='gray' xmlns='http: //www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M0 0h5v5H0V2h2v1h1V2H0' fill='%23fff'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M0 0h4v4H0V1h1v2h2V1H0'/%3E%3C/svg%3E") 2;
				padding: 10px;
				padding-block-start: 8px;
				margin: 0
			}
			
			legend{
				background: #ece9d8
			}
			
			menu[role=tablist]{
				position: relative;
				margin: 0 0 -2px;
				text-indent: 0;
				list-style-type: none;
				display: flex;
				padding-left: 3px
			}
			
			menu[role=tablist] button{
				z-index: 1;
				display: block;
				color: #222;
				text-decoration: none;
				min-width: unset
			}
			
			menu[role=tablist] button[aria-selected=true]{
				padding-bottom: 2px;margin-top: -2px;background-color: #ece9d8;position: relative;z-index: 8;margin-left: -3px;margin-bottom: 1px
			}
			
			menu[role=tablist] button: focus{
				outline: 1px dotted #222;outline-offset: -4px
			}
			
			menu[role=tablist].justified button{
				flex-grow: 1;text-align: center
			}
			
			[role=tabpanel]{
				padding: 14px;clear: both;background: linear-gradient(180deg,#fcfcfe,#f4f3ee);border: 1px solid #919b9c;position: relative;z-index: 2;margin-bottom: 9px
			}
			
			: :-webkit-scrollbar{
				width: 17px
			}
			
			: :-webkit-scrollbar-corner{
				background: #dfdfdf
			}
			
			: :-webkit-scrollbar-track: vertical{
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 17 1' shape-rendering='crispEdges'%3E%3Cpath stroke='%23eeede5' d='M0 0h1m15 0h1'/%3E%3Cpath stroke='%23f3f1ec' d='M1 0h1'/%3E%3Cpath stroke='%23f4f1ec' d='M2 0h1'/%3E%3Cpath stroke='%23f4f3ee' d='M3 0h1'/%3E%3Cpath stroke='%23f5f4ef' d='M4 0h1'/%3E%3Cpath stroke='%23f6f5f0' d='M5 0h1'/%3E%3Cpath stroke='%23f7f7f3' d='M6 0h1'/%3E%3Cpath stroke='%23f9f8f4' d='M7 0h1'/%3E%3Cpath stroke='%23f9f9f7' d='M8 0h1'/%3E%3Cpath stroke='%23fbfbf8' d='M9 0h1'/%3E%3Cpath stroke='%23fbfbf9' d='M10 0h2'/%3E%3Cpath stroke='%23fdfdfa' d='M12 0h1'/%3E%3Cpath stroke='%23fefefb' d='M13 0h3'/%3E%3C/svg%3E")
			}
			
			: :-webkit-scrollbar-track: horizontal{
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 1 17' shape-rendering='crispEdges'%3E%3Cpath stroke='%23eeede5' d='M0 0h1M0 16h1'/%3E%3Cpath stroke='%23f3f1ec' d='M0 1h1'/%3E%3Cpath stroke='%23f4f1ec' d='M0 2h1'/%3E%3Cpath stroke='%23f4f3ee' d='M0 3h1'/%3E%3Cpath stroke='%23f5f4ef' d='M0 4h1'/%3E%3Cpath stroke='%23f6f5f0' d='M0 5h1'/%3E%3Cpath stroke='%23f7f7f3' d='M0 6h1'/%3E%3Cpath stroke='%23f9f8f4' d='M0 7h1'/%3E%3Cpath stroke='%23f9f9f7' d='M0 8h1'/%3E%3Cpath stroke='%23fbfbf8' d='M0 9h1'/%3E%3Cpath stroke='%23fbfbf9' d='M0 10h1m-1 1h1'/%3E%3Cpath stroke='%23fdfdfa' d='M0 12h1'/%3E%3Cpath stroke='%23fefefb' d='M0 13h1m-1 1h1m-1 1h1'/%3E%3C/svg%3E")
			}
			
			: :-webkit-scrollbar-thumb{
				background-position: 50%;
				background-repeat: no-repeat;
				background-color: #c8d6fb;
				background-size: 7px;
				border: 1px solid #fff;
				border-radius: 2px;
				box-shadow: inset -3px 0 #bad1fc,inset 1px 1px #b7caf5
			}
			
			: :-webkit-scrollbar-thumb: vertical{
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 7 8' shape-rendering='crispEdges'%3E%3Cpath stroke='%23eef4fe' d='M0 0h6M0 2h6M0 4h6M0 6h6'/%3E%3Cpath stroke='%23bad1fc' d='M6 0h1M6 2h1M6 4h1'/%3E%3Cpath stroke='%23c8d6fb' d='M0 1h1M0 3h1M0 5h1M0 7h1'/%3E%3Cpath stroke='%238cb0f8' d='M1 1h6M1 3h6M1 5h6M1 7h6'/%3E%3Cpath stroke='%23bad3fc' d='M6 6h1'/%3E%3C/svg%3E")
			}
			
			: :-webkit-scrollbar-thumb: horizontal{
				background-size: 8px;background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 8 7' shape-rendering='crispEdges'%3E%3Cpath stroke='%23eef4fe' d='M0 0h1m1 0h1m1 0h1m1 0h1M0 1h1m1 0h1m1 0h1m1 0h1M0 2h1m1 0h1m1 0h1m1 0h1M0 3h1m1 0h1m1 0h1m1 0h1M0 4h1m1 0h1m1 0h1m1 0h1M0 5h1m1 0h1m1 0h1m1 0h1'/%3E%3Cpath stroke='%23c8d6fb' d='M1 0h1m1 0h1m1 0h1m1 0h1'/%3E%3Cpath stroke='%238cb0f8' d='M1 1h1m1 0h1m1 0h1m1 0h1M1 2h1m1 0h1m1 0h1m1 0h1M1 3h1m1 0h1m1 0h1m1 0h1M1 4h1m1 0h1m1 0h1m1 0h1M1 5h1m1 0h1m1 0h1m1 0h1M1 6h1m1 0h1m1 0h1m1 0h1'/%3E%3Cpath stroke='%23bad1fc' d='M0 6h1m1 0h1'/%3E%3Cpath stroke='%23bad3fc' d='M4 6h1m1 0h1'/%3E%3C/svg%3E")
			}
			
			: :-webkit-scrollbar-button: vertical: start{
				height: 17px;
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 17 17' shape-rendering='crispEdges'%3E%3Cpath stroke='%23eeede5' d='M0 0h1m15 0h1M0 1h1M0 2h1M0 3h1M0 4h1M0 5h1M0 6h1M0 7h1M0 8h1M0 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m15 0h1M0 16h1m15 0h1'/%3E%3Cpath stroke='%23fdfdfa' d='M1 0h1'/%3E%3Cpath stroke='%23fff' d='M2 0h14M1 1h1m13 0h1M1 2h1m13 0h1M1 3h1m13 0h1M1 4h1m13 0h1M1 5h1m13 0h1M1 6h1m13 0h1M1 7h1m13 0h1M1 8h1m13 0h1M1 9h1m13 0h1M1 10h1m13 0h1M1 11h1m13 0h1M1 12h1m13 0h1M1 13h1m13 0h1M1 14h1m13 0h1M2 15h13'/%3E%3Cpath stroke='%23e6eefc' d='M2 1h1'/%3E%3Cpath stroke='%23d0dffc' d='M3 1h1M2 2h1'/%3E%3Cpath stroke='%23cad8f9' d='M4 1h1M2 3h1'/%3E%3Cpath stroke='%23c4d2f7' d='M5 1h1'/%3E%3Cpath stroke='%23c0d0f7' d='M6 1h1'/%3E%3Cpath stroke='%23bdcef7' d='M7 1h1M2 6h1'/%3E%3Cpath stroke='%23bbcdf5' d='M8 1h1'/%3E%3Cpath stroke='%23b8cbf6' d='M9 1h1M2 7h1'/%3E%3Cpath stroke='%23b7caf5' d='M10 1h1M2 8h1'/%3E%3Cpath stroke='%23b5c8f7' d='M11 1h1'/%3E%3Cpath stroke='%23b3c7f5' d='M12 1h1'/%3E%3Cpath stroke='%23afc5f4' d='M13 1h1'/%3E%3Cpath stroke='%23dce6f9' d='M14 1h1'/%3E%3Cpath stroke='%23dfe2e1' d='M16 1h1'/%3E%3Cpath stroke='%23e1eafe' d='M3 2h1'/%3E%3Cpath stroke='%23dae6fe' d='M4 2h1M3 3h1'/%3E%3Cpath stroke='%23d4e1fc' d='M5 2h1M3 4h1'/%3E%3Cpath stroke='%23d1e0fd' d='M6 2h1M4 4h1'/%3E%3Cpath stroke='%23d0ddfc' d='M7 2h1M3 5h1'/%3E%3Cpath stroke='%23cedbfd' d='M8 2h1M6 3h1'/%3E%3Cpath stroke='%23cad9fd' d='M9 2h1M7 3h1M5 5h1'/%3E%3Cpath stroke='%23c8d8fb' d='M10 2h1'/%3E%3Cpath stroke='%23c5d6fc' d='M11 2h1m-8 8h1m1 0h1'/%3E%3Cpath stroke='%23c2d3fc' d='M12 2h1m-2 1h1m-9 7h1m0 1h1'/%3E%3Cpath stroke='%23bccefa' d='M13 2h1m-1 2h1m-9 9h2'/%3E%3Cpath stroke='%23b9c9f3' d='M14 2h1M5 14h3'/%3E%3Cpath stroke='%23cfd7dd' d='M16 2h1'/%3E%3Cpath stroke='%23d8e3fc' d='M4 3h1'/%3E%3Cpath stroke='%23d1defd' d='M5 3h1'/%3E%3Cpath stroke='%23c9d8fc' d='M8 3h1M6 4h2M5 6h2M3 7h1'/%3E%3Cpath stroke='%23c5d5fc' d='M9 3h1M3 9h1m3 0h1'/%3E%3Cpath stroke='%23c5d3fc' d='M10 3h1'/%3E%3Cpath stroke='%23bed0fc' d='M12 3h1M9 4h1m-7 7h1m0 1h1'/%3E%3Cpath stroke='%23bccdfa' d='M13 3h1'/%3E%3Cpath stroke='%23baccf4' d='M14 3h1'/%3E%3Cpath stroke='%23bdcbda' d='M16 3h1'/%3E%3Cpath stroke='%23c4d4f7' d='M2 4h1'/%3E%3Cpath stroke='%23cddbfc' d='M5 4h1M3 6h1'/%3E%3Cpath stroke='%23c8d5fb' d='M8 4h1'/%3E%3Cpath stroke='%23bbcefd' d='M10 4h3M9 5h1'/%3E%3Cpath stroke='%23bcccf3' d='M14 4h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23b1c2d5' d='M16 4h1'/%3E%3Cpath stroke='%23bed0f8' d='M2 5h1'/%3E%3Cpath stroke='%23ceddfd' d='M4 5h1'/%3E%3Cpath stroke='%23c8d6fb' d='M6 5h2M3 8h2'/%3E%3Cpath stroke='%234d6185' d='M8 5h1M7 6h3M6 7h5M5 8h3m1 0h3M4 9h3m3 0h3m-8 1h1m5 0h1'/%3E%3Cpath stroke='%23bacdfc' d='M10 5h1m1 0h2M3 12h1'/%3E%3Cpath stroke='%23b9cdfb' d='M11 5h1m-2 1h1m1 0h2m-1 1h1'/%3E%3Cpath stroke='%23a8bbd4' d='M16 5h1'/%3E%3Cpath stroke='%23cddafc' d='M4 6h1'/%3E%3Cpath stroke='%23b7cdfc' d='M11 6h1m0 1h1'/%3E%3Cpath stroke='%23a4b8d3' d='M16 6h1'/%3E%3Cpath stroke='%23cad8fd' d='M4 7h2'/%3E%3Cpath stroke='%23b6cefb' d='M11 7h1m0 1h1'/%3E%3Cpath stroke='%23bacbf4' d='M14 7h1'/%3E%3Cpath stroke='%23a0b5d3' d='M16 7h1m-1 1h1m-1 5h1'/%3E%3Cpath stroke='%23c1d3fb' d='M8 8h1'/%3E%3Cpath stroke='%23b6cdfb' d='M13 8h1m-5 5h1'/%3E%3Cpath stroke='%23b9cbf3' d='M14 8h1'/%3E%3Cpath stroke='%23b4c8f6' d='M2 9h1'/%3E%3Cpath stroke='%23c2d5fc' d='M8 9h1m-1 1h1m-3 1h2'/%3E%3Cpath stroke='%23bdd3fb' d='M9 9h1m-2 3h1'/%3E%3Cpath stroke='%23b5cdfa' d='M13 9h1'/%3E%3Cpath stroke='%23b5c9f3' d='M14 9h1'/%3E%3Cpath stroke='%239fb5d2' d='M16 9h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23b1c7f6' d='M2 10h1'/%3E%3Cpath stroke='%23c3d5fd' d='M7 10h1'/%3E%3Cpath stroke='%23bad4fc' d='M9 10h1m-1 1h1'/%3E%3Cpath stroke='%23b2cffb' d='M10 10h1m1 0h1m-2 2h1'/%3E%3Cpath stroke='%23b1cbfa' d='M13 10h1'/%3E%3Cpath stroke='%23b3c8f5' d='M14 10h1m-6 4h2'/%3E%3Cpath stroke='%23adc3f6' d='M2 11h1'/%3E%3Cpath stroke='%23c3d3fd' d='M5 11h1'/%3E%3Cpath stroke='%23c1d5fb' d='M8 11h1'/%3E%3Cpath stroke='%23b7d3fc' d='M10 11h1m-2 1h1'/%3E%3Cpath stroke='%23b3d1fc' d='M11 11h1'/%3E%3Cpath stroke='%23afcefb' d='M12 11h1'/%3E%3Cpath stroke='%23aecafa' d='M13 11h1'/%3E%3Cpath stroke='%23b1c8f3' d='M14 11h1'/%3E%3Cpath stroke='%23acc2f5' d='M2 12h1'/%3E%3Cpath stroke='%23c1d2fb' d='M5 12h1'/%3E%3Cpath stroke='%23bed1fc' d='M6 12h2'/%3E%3Cpath stroke='%23b6d1fb' d='M10 12h1'/%3E%3Cpath stroke='%23afccfb' d='M12 12h1'/%3E%3Cpath stroke='%23adc9f9' d='M13 12h1m-2 1h1'/%3E%3Cpath stroke='%23b1c5f3' d='M14 12h1'/%3E%3Cpath stroke='%23aac0f3' d='M2 13h1'/%3E%3Cpath stroke='%23b7cbf9' d='M3 13h1'/%3E%3Cpath stroke='%23b9cefb' d='M4 13h1'/%3E%3Cpath stroke='%23bbcef9' d='M7 13h1'/%3E%3Cpath stroke='%23b9cffb' d='M8 13h1'/%3E%3Cpath stroke='%23b2cdfb' d='M10 13h1'/%3E%3Cpath stroke='%23b0cbf9' d='M11 13h1'/%3E%3Cpath stroke='%23aec8f7' d='M13 13h1'/%3E%3Cpath stroke='%23b0c5f2' d='M14 13h1'/%3E%3Cpath stroke='%23dbe3f8' d='M2 14h1'/%3E%3Cpath stroke='%23b7c6f1' d='M3 14h1'/%3E%3Cpath stroke='%23b8c9f2' d='M4 14h1m3 0h1'/%3E%3Cpath stroke='%23b2c8f4' d='M11 14h1'/%3E%3Cpath stroke='%23b1c6f3' d='M12 14h1'/%3E%3Cpath stroke='%23b0c4f2' d='M13 14h1'/%3E%3Cpath stroke='%23d9e3f6' d='M14 14h1'/%3E%3Cpath stroke='%23aec0d6' d='M16 14h1'/%3E%3Cpath stroke='%23c3d4e7' d='M1 15h1'/%3E%3Cpath stroke='%23aec4e5' d='M15 15h1'/%3E%3Cpath stroke='%23edf1f3' d='M1 16h1'/%3E%3Cpath stroke='%23aac0e1' d='M2 16h1'/%3E%3Cpath stroke='%2394b1d9' d='M3 16h1'/%3E%3Cpath stroke='%2388a7d8' d='M4 16h1'/%3E%3Cpath stroke='%2383a4d3' d='M5 16h1'/%3E%3Cpath stroke='%237da0d4' d='M6 16h1m3 0h3'/%3E%3Cpath stroke='%237e9fd2' d='M7 16h1'/%3E%3Cpath stroke='%237c9fd3' d='M8 16h2'/%3E%3Cpath stroke='%2382a4d6' d='M13 16h1'/%3E%3Cpath stroke='%2394b0dd' d='M14 16h1'/%3E%3Cpath stroke='%23ecf2f7' d='M15 16h1'/%3E%3C/svg%3E")
			}
			
			: :-webkit-scrollbar-button: vertical: end{
				height: 17px;
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 17 17' shape-rendering='crispEdges'%3E%3Cpath stroke='%23eeede5' d='M0 0h1m15 0h1M0 1h1M0 2h1M0 3h1M0 4h1M0 5h1M0 6h1M0 7h1M0 8h1M0 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m15 0h1M0 16h1m15 0h1'/%3E%3Cpath stroke='%23fdfdfa' d='M1 0h1'/%3E%3Cpath stroke='%23fff' d='M2 0h14M1 1h1m13 0h1M1 2h1m13 0h1M1 3h1m13 0h1M1 4h1m13 0h1M1 5h1m13 0h1M1 6h1m13 0h1M1 7h1m13 0h1M1 8h1m13 0h1M1 9h1m13 0h1M1 10h1m13 0h1M1 11h1m13 0h1M1 12h1m13 0h1M1 13h1m13 0h1M1 14h1m13 0h1M2 15h13'/%3E%3Cpath stroke='%23e6eefc' d='M2 1h1'/%3E%3Cpath stroke='%23d0dffc' d='M3 1h1M2 2h1'/%3E%3Cpath stroke='%23cad8f9' d='M4 1h1M2 3h1'/%3E%3Cpath stroke='%23c4d2f7' d='M5 1h1'/%3E%3Cpath stroke='%23c0d0f7' d='M6 1h1'/%3E%3Cpath stroke='%23bdcef7' d='M7 1h1M2 6h1'/%3E%3Cpath stroke='%23bbcdf5' d='M8 1h1'/%3E%3Cpath stroke='%23b8cbf6' d='M9 1h1M2 7h1'/%3E%3Cpath stroke='%23b7caf5' d='M10 1h1M2 8h1'/%3E%3Cpath stroke='%23b5c8f7' d='M11 1h1'/%3E%3Cpath stroke='%23b3c7f5' d='M12 1h1'/%3E%3Cpath stroke='%23afc5f4' d='M13 1h1'/%3E%3Cpath stroke='%23dce6f9' d='M14 1h1'/%3E%3Cpath stroke='%23dfe2e1' d='M16 1h1'/%3E%3Cpath stroke='%23e1eafe' d='M3 2h1'/%3E%3Cpath stroke='%23dae6fe' d='M4 2h1M3 3h1'/%3E%3Cpath stroke='%23d4e1fc' d='M5 2h1M3 4h1'/%3E%3Cpath stroke='%23d1e0fd' d='M6 2h1M4 4h1'/%3E%3Cpath stroke='%23d0ddfc' d='M7 2h1M3 5h1'/%3E%3Cpath stroke='%23cedbfd' d='M8 2h1M6 3h1'/%3E%3Cpath stroke='%23cad9fd' d='M9 2h1M7 3h1M5 5h1'/%3E%3Cpath stroke='%23c8d8fb' d='M10 2h1'/%3E%3Cpath stroke='%23c5d6fc' d='M11 2h1m-8 8h3'/%3E%3Cpath stroke='%23c2d3fc' d='M12 2h1m-2 1h1m-9 7h1m0 1h1'/%3E%3Cpath stroke='%23bccefa' d='M13 2h1m-1 2h1m-9 9h2'/%3E%3Cpath stroke='%23b9c9f3' d='M14 2h1M5 14h3'/%3E%3Cpath stroke='%23cfd7dd' d='M16 2h1'/%3E%3Cpath stroke='%23d8e3fc' d='M4 3h1'/%3E%3Cpath stroke='%23d1defd' d='M5 3h1'/%3E%3Cpath stroke='%23c9d8fc' d='M8 3h1M6 4h2M6 6h2M3 7h1'/%3E%3Cpath stroke='%23c5d5fc' d='M9 3h1M3 9h3'/%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 5h1M8 6h1'/%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 5h3M3 8h2'/%3E%3Cpath stroke='%23bacdfc' d='M10 5h1m1 0h2M3 12h1'/%3E%3Cpath stroke='%23b9cdfb' d='M11 5h1M9 6h2m1 0h2m-1 1h1'/%3E%3Cpath stroke='%23a8bbd4' d='M16 5h1'/%3E%3Cpath stroke='%23cddafc' d='M4 6h1'/%3E%3Cpath stroke='%234d6185' d='M5 6h1m5 0h1M4 7h3m3 0h3M5 8h3m1 0h3M6 9h5m-4 1h3m-2 1h1'/%3E%3Cpath stroke='%23a4b8d3' d='M16 6h1'/%3E%3Cpath stroke='%23c1d3fb' d='M7 7h2M8 8h1'/%3E%3Cpath stroke='%23b6cefb' d='M9 7h1m2 1h1m-2 1h2'/%3E%3Cpath stroke='%23bacbf4' d='M14 7h1'/%3E%3Cpath stroke='%23a0b5d3' d='M16 7h1m-1 1h1m-1 5h1'/%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='%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='%23b2cffb' d='M10 10h3m-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='%23c2d5fc' d='M6 11h2'/%3E%3Cpath stroke='%23bad4fc' d='M9 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='%23bdd3fb' d='M8 12h1'/%3E%3Cpath stroke='%23b6d1fb' d='M10 12h1'/%3E%3Cpath stroke='%23afccfb' d='M12 12h1'/%3E%3Cpath stroke='%23adc9f9' d='M13 12h1m-2 1h1'/%3E%3Cpath stroke='%23b1c5f3' d='M14 12h1'/%3E%3Cpath stroke='%23aac0f3' d='M2 13h1'/%3E%3Cpath stroke='%23b7cbf9' d='M3 13h1'/%3E%3Cpath stroke='%23b9cefb' d='M4 13h1'/%3E%3Cpath stroke='%23bbcef9' d='M7 13h1'/%3E%3Cpath stroke='%23b9cffb' d='M8 13h1'/%3E%3Cpath stroke='%23b2cdfb' d='M10 13h1'/%3E%3Cpath stroke='%23b0cbf9' d='M11 13h1'/%3E%3Cpath stroke='%23aec8f7' d='M13 13h1'/%3E%3Cpath stroke='%23b0c5f2' d='M14 13h1'/%3E%3Cpath stroke='%23dbe3f8' d='M2 14h1'/%3E%3Cpath stroke='%23b7c6f1' d='M3 14h1'/%3E%3Cpath stroke='%23b8c9f2' d='M4 14h1m3 0h1'/%3E%3Cpath stroke='%23b2c8f4' d='M11 14h1'/%3E%3Cpath stroke='%23b1c6f3' d='M12 14h1'/%3E%3Cpath stroke='%23b0c4f2' d='M13 14h1'/%3E%3Cpath stroke='%23d9e3f6' d='M14 14h1'/%3E%3Cpath stroke='%23aec0d6' d='M16 14h1'/%3E%3Cpath stroke='%23c3d4e7' d='M1 15h1'/%3E%3Cpath stroke='%23aec4e5' d='M15 15h1'/%3E%3Cpath stroke='%23edf1f3' d='M1 16h1'/%3E%3Cpath stroke='%23aac0e1' d='M2 16h1'/%3E%3Cpath stroke='%2394b1d9' d='M3 16h1'/%3E%3Cpath stroke='%2388a7d8' d='M4 16h1'/%3E%3Cpath stroke='%2383a4d3' d='M5 16h1'/%3E%3Cpath stroke='%237da0d4' d='M6 16h1m3 0h3'/%3E%3Cpath stroke='%237e9fd2' d='M7 16h1'/%3E%3Cpath stroke='%237c9fd3' d='M8 16h2'/%3E%3Cpath stroke='%2382a4d6' d='M13 16h1'/%3E%3Cpath stroke='%2394b0dd' d='M14 16h1'/%3E%3Cpath stroke='%23ecf2f7' d='M15 16h1'/%3E%3C/svg%3E")
			}
			
			: :-webkit-scrollbar-button: horizontal: start{
				width: 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 0h17m-1 1h1m-1 14h1m-1 1h1'/%3E%3Cpath stroke='%23fdfdfa' d='M0 1h1'/%3E%3Cpath stroke='%23fff' d='M1 1h15M0 2h1m14 0h1M0 3h1m14 0h1M0 4h1m14 0h1M0 5h1m14 0h1M0 6h1m14 0h1M0 7h1m14 0h1M0 8h1m14 0h1M0 9h1m14 0h1M0 10h1m14 0h1M0 11h1m14 0h1M0 12h1m14 0h1M0 13h1m14 0h1M0 14h1m14 0h1M1 15h14'/%3E%3Cpath stroke='%23e6eefc' d='M1 2h1'/%3E%3Cpath stroke='%23d0dffc' d='M2 2h1M1 3h1'/%3E%3Cpath stroke='%23cad8f9' d='M3 2h1M1 4h1'/%3E%3Cpath stroke='%23c4d2f7' d='M4 2h1'/%3E%3Cpath stroke='%23c0d0f7' d='M5 2h1'/%3E%3Cpath stroke='%23bdcef7' d='M6 2h1M1 7h1'/%3E%3Cpath stroke='%23bbcdf5' d='M7 2h2'/%3E%3Cpath stroke='%23b8cbf6' d='M9 2h1M1 8h1'/%3E%3Cpath stroke='%23b7caf5' d='M10 2h1M1 9h1'/%3E%3Cpath stroke='%23b5c8f7' d='M11 2h1'/%3E%3Cpath stroke='%23b3c7f5' d='M12 2h1'/%3E%3Cpath stroke='%23afc5f4' d='M13 2h1'/%3E%3Cpath stroke='%23dce6f9' d='M14 2h1'/%3E%3Cpath stroke='%23dfe2e1' d='M16 2h1'/%3E%3Cpath stroke='%23e1eafe' d='M2 3h1'/%3E%3Cpath stroke='%23dae6fe' d='M3 3h1M2 4h1'/%3E%3Cpath stroke='%23d4e1fc' d='M4 3h1M2 5h1'/%3E%3Cpath stroke='%23d1e0fd' d='M5 3h1M3 5h1'/%3E%3Cpath stroke='%23d0ddfc' d='M6 3h1M2 6h1'/%3E%3Cpath stroke='%23cedbfd' d='M7 3h1M5 4h1'/%3E%3Cpath stroke='%23cddbfc' d='M8 3h1M4 5h1M2 7h1'/%3E%3Cpath stroke='%23cad9fd' d='M9 3h1M6 4h1M4 6h1'/%3E%3Cpath stroke='%23c8d8fb' d='M10 3h1'/%3E%3Cpath stroke='%23c5d6fc' d='M11 3h1m-9 7h3'/%3E%3Cpath stroke='%23c2d3fc' d='M12 3h1m-2 1h1M2 10h1m0 1h1'/%3E%3Cpath stroke='%23bccefa' d='M13 3h1m-1 2h1M4 13h2'/%3E%3Cpath stroke='%23b9c9f3' d='M14 3h1M4 14h3'/%3E%3Cpath stroke='%23cfd7dd' d='M16 3h1'/%3E%3Cpath stroke='%23d8e3fc' d='M3 4h1'/%3E%3Cpath stroke='%23d1defd' d='M4 4h1'/%3E%3Cpath stroke='%23c9d8fc' d='M7 4h1M5 5h2M4 7h1M2 8h1'/%3E%3Cpath stroke='%234d6185' d='M8 4h1M7 5h3M6 6h3M5 7h3M4 8h3M5 9h3m-2 1h3m-2 1h3m-2 1h1'/%3E%3Cpath stroke='%23c5d5fc' d='M9 4h1'/%3E%3Cpath stroke='%23c5d3fc' d='M10 4h1'/%3E%3Cpath stroke='%23bed0fc' d='M12 4h1M2 11h1m0 1h1'/%3E%3Cpath stroke='%23bccdfa' d='M13 4h1'/%3E%3Cpath stroke='%23baccf4' d='M14 4h1'/%3E%3Cpath stroke='%23bdcbda' d='M16 4h1'/%3E%3Cpath stroke='%23c4d4f7' d='M1 5h1'/%3E%3Cpath stroke='%23bbcefd' d='M10 5h3M9 6h1'/%3E%3Cpath stroke='%23bcccf3' d='M14 5h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23b1c2d5' d='M16 5h1'/%3E%3Cpath stroke='%23bed0f8' d='M1 6h1'/%3E%3Cpath stroke='%23ceddfd' d='M3 6h1'/%3E%3Cpath stroke='%23c8d6fb' d='M5 6h1M2 9h3'/%3E%3Cpath stroke='%23bacdfc' d='M10 6h1m1 0h2M2 12h1'/%3E%3Cpath stroke='%23b9cdfb' d='M11 6h1M8 7h3m1 0h2m-1 1h1'/%3E%3Cpath stroke='%23a8bbd4' d='M16 6h1'/%3E%3Cpath stroke='%23cddafc' d='M3 7h1'/%3E%3Cpath stroke='%23b7cdfc' d='M11 7h1m0 1h1'/%3E%3Cpath stroke='%23a4b8d3' d='M16 7h1'/%3E%3Cpath stroke='%23cad8fd' d='M3 8h1'/%3E%3Cpath stroke='%23c1d3fb' d='M7 8h2'/%3E%3Cpath stroke='%23b6cefb' d='M9 8h3M9 9h4'/%3E%3Cpath stroke='%23bacbf4' d='M14 8h1'/%3E%3Cpath stroke='%23a0b5d3' d='M16 8h1m-1 1h1m-1 4h1'/%3E%3Cpath stroke='%23bdd3fb' d='M8 9h1m-2 3h1'/%3E%3Cpath stroke='%23b6cdfb' d='M13 9h1m-5 4h1'/%3E%3Cpath stroke='%23b9cbf3' d='M14 9h1'/%3E%3Cpath stroke='%23b1c7f6' d='M1 10h1'/%3E%3Cpath stroke='%23bad4fc' d='M9 10h1'/%3E%3Cpath stroke='%23b2cffb' d='M10 10h3m-2 2h1'/%3E%3Cpath stroke='%23b1cbfa' d='M13 10h1'/%3E%3Cpath stroke='%23b3c8f5' d='M14 10h1m-6 4h2'/%3E%3Cpath stroke='%239fb5d2' d='M16 10h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23adc3f6' d='M1 11h1'/%3E%3Cpath stroke='%23c3d3fd' d='M4 11h1'/%3E%3Cpath stroke='%23c2d5fc' d='M5 11h2'/%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='M1 12h1'/%3E%3Cpath stroke='%23c1d2fb' d='M4 12h1'/%3E%3Cpath stroke='%23bed1fc' d='M5 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='M1 13h1'/%3E%3Cpath stroke='%23b7cbf9' d='M2 13h1'/%3E%3Cpath stroke='%23b9cefb' d='M3 13h1'/%3E%3Cpath stroke='%23bbcef9' d='M6 13h1'/%3E%3Cpath stroke='%23b9cffb' d='M7 13h1'/%3E%3Cpath stroke='%23b8cffa' d='M8 13h1'/%3E%3Cpath stroke='%23b2cdfb' d='M10 13h1'/%3E%3Cpath stroke='%23b0cbf9' d='M11 13h1'/%3E%3Cpath stroke='%23aec8f7' d='M13 13h1'/%3E%3Cpath stroke='%23b0c5f2' d='M14 13h1'/%3E%3Cpath stroke='%23dbe3f8' d='M1 14h1'/%3E%3Cpath stroke='%23b7c6f1' d='M2 14h1'/%3E%3Cpath stroke='%23b8c9f2' d='M3 14h1m3 0h2'/%3E%3Cpath stroke='%23b2c8f4' d='M11 14h1'/%3E%3Cpath stroke='%23b1c6f3' d='M12 14h1'/%3E%3Cpath stroke='%23b0c4f2' d='M13 14h1'/%3E%3Cpath stroke='%23d9e3f6' d='M14 14h1'/%3E%3Cpath stroke='%23aec0d6' d='M16 14h1'/%3E%3Cpath stroke='%23c3d4e7' d='M0 15h1'/%3E%3Cpath stroke='%23aec4e5' d='M15 15h1'/%3E%3Cpath stroke='%23edf1f3' d='M0 16h1'/%3E%3Cpath stroke='%23aac0e1' d='M1 16h1'/%3E%3Cpath stroke='%2394b1d9' d='M2 16h1'/%3E%3Cpath stroke='%2388a7d8' d='M3 16h1'/%3E%3Cpath stroke='%2383a4d3' d='M4 16h1'/%3E%3Cpath stroke='%237da0d4' d='M5 16h1m4 0h3'/%3E%3Cpath stroke='%237e9fd2' d='M6 16h1'/%3E%3Cpath stroke='%237c9fd3' d='M7 16h3'/%3E%3Cpath stroke='%2382a4d6' d='M13 16h1'/%3E%3Cpath stroke='%2394b0dd' d='M14 16h1'/%3E%3Cpath stroke='%23ecf2f7' d='M15 16h1'/%3E%3C/svg%3E")
			}
			
			: :-webkit-scrollbar-button: horizontal: end{
				width: 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 0h17m-1 1h1m-1 14h1m-1 1h1'/%3E%3Cpath stroke='%23fdfdfa' d='M0 1h1'/%3E%3Cpath stroke='%23fff' d='M1 1h15M0 2h1m14 0h1M0 3h1m14 0h1M0 4h1m14 0h1M0 5h1m14 0h1M0 6h1m14 0h1M0 7h1m14 0h1M0 8h1m14 0h1M0 9h1m14 0h1M0 10h1m14 0h1M0 11h1m14 0h1M0 12h1m14 0h1M0 13h1m14 0h1M0 14h1m14 0h1M1 15h14'/%3E%3Cpath stroke='%23e6eefc' d='M1 2h1'/%3E%3Cpath stroke='%23d0dffc' d='M2 2h1M1 3h1'/%3E%3Cpath stroke='%23cad8f9' d='M3 2h1M1 4h1'/%3E%3Cpath stroke='%23c4d2f7' d='M4 2h1'/%3E%3Cpath stroke='%23c0d0f7' d='M5 2h1'/%3E%3Cpath stroke='%23bdcef7' d='M6 2h1M1 7h1'/%3E%3Cpath stroke='%23bbcdf5' d='M7 2h2'/%3E%3Cpath stroke='%23b8cbf6' d='M9 2h1M1 8h1'/%3E%3Cpath stroke='%23b7caf5' d='M10 2h1'/%3E%3Cpath stroke='%23b5c8f7' d='M11 2h1'/%3E%3Cpath stroke='%23b3c7f5' d='M12 2h1'/%3E%3Cpath stroke='%23afc5f4' d='M13 2h1'/%3E%3Cpath stroke='%23dce6f9' d='M14 2h1'/%3E%3Cpath stroke='%23dfe2e1' d='M16 2h1'/%3E%3Cpath stroke='%23e1eafe' d='M2 3h1'/%3E%3Cpath stroke='%23dae6fe' d='M3 3h1M2 4h1'/%3E%3Cpath stroke='%23d4e1fc' d='M4 3h1M2 5h1'/%3E%3Cpath stroke='%23d1e0fd' d='M5 3h1M3 5h1'/%3E%3Cpath stroke='%23d0ddfc' d='M6 3h1M2 6h1'/%3E%3Cpath stroke='%23cedbfd' d='M7 3h1M5 4h1'/%3E%3Cpath stroke='%23cddbfc' d='M8 3h1M4 5h1M2 7h1'/%3E%3Cpath stroke='%23cad9fd' d='M9 3h1M6 4h1M4 6h1'/%3E%3Cpath stroke='%23c8d8fb' d='M10 3h1'/%3E%3Cpath stroke='%23c5d6fc' d='M11 3h1m-9 7h3'/%3E%3Cpath stroke='%23c2d3fc' d='M12 3h1m-2 1h1M2 10h1m0 1h1'/%3E%3Cpath stroke='%23bccefa' d='M13 3h1m-1 2h1M4 13h2'/%3E%3Cpath stroke='%23b9c9f3' d='M14 3h1M4 14h3'/%3E%3Cpath stroke='%23cfd7dd' d='M16 3h1'/%3E%3Cpath stroke='%23d8e3fc' d='M3 4h1'/%3E%3Cpath stroke='%23d1defd' d='M4 4h1'/%3E%3Cpath stroke='%234d6185' d='M7 4h1M6 5h3M7 6h3M8 7h3M9 8h3M8 9h3m-4 1h3m-4 1h3m-2 1h1'/%3E%3Cpath stroke='%23c8d6fb' d='M8 4h1M5 6h2'/%3E%3Cpath stroke='%23c5d5fc' d='M9 4h1M2 9h5'/%3E%3Cpath stroke='%23c5d3fc' d='M10 4h1'/%3E%3Cpath stroke='%23bed0fc' d='M12 4h1M9 5h1m-8 6h1m0 1h1'/%3E%3Cpath stroke='%23bccdfa' d='M13 4h1'/%3E%3Cpath stroke='%23baccf4' d='M14 4h1'/%3E%3Cpath stroke='%23bdcbda' d='M16 4h1'/%3E%3Cpath stroke='%23c4d4f7' d='M1 5h1'/%3E%3Cpath stroke='%23c9d8fc' d='M5 5h1M4 7h3M2 8h1'/%3E%3Cpath stroke='%23bbcefd' d='M10 5h3M7 7h1'/%3E%3Cpath stroke='%23bcccf3' d='M14 5h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23b1c2d5' d='M16 5h1'/%3E%3Cpath stroke='%23bed0f8' d='M1 6h1'/%3E%3Cpath stroke='%23ceddfd' d='M3 6h1'/%3E%3Cpath stroke='%23bacdfc' d='M10 6h1m1 0h2M2 12h1'/%3E%3Cpath stroke='%23b9cdfb' d='M11 6h1m0 1h2m-1 1h1'/%3E%3Cpath stroke='%23a8bbd4' d='M16 6h1'/%3E%3Cpath stroke='%23cddafc' d='M3 7h1'/%3E%3Cpath stroke='%23b7cdfc' d='M11 7h1m0 1h1'/%3E%3Cpath stroke='%23a4b8d3' d='M16 7h1'/%3E%3Cpath stroke='%23cad8fd' d='M3 8h3'/%3E%3Cpath stroke='%23c1d3fb' d='M6 8h3'/%3E%3Cpath stroke='%23bacbf4' d='M14 8h1'/%3E%3Cpath stroke='%23a0b5d3' d='M16 8h1m-1 5h1'/%3E%3Cpath stroke='%23b4c8f6' d='M1 9h1'/%3E%3Cpath stroke='%23c2d5fc' d='M7 9h1m-3 2h1'/%3E%3Cpath stroke='%23b6cefb' d='M11 9h2'/%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='M1 10h1'/%3E%3Cpath stroke='%23c3d5fd' d='M6 10h1'/%3E%3Cpath stroke='%23b2cffb' d='M10 10h3m-2 2h1'/%3E%3Cpath stroke='%23b1cbfa' d='M13 10h1'/%3E%3Cpath stroke='%23b3c8f5' d='M14 10h1m-6 4h2'/%3E%3Cpath stroke='%23adc3f6' d='M1 11h1'/%3E%3Cpath stroke='%23c3d3fd' d='M4 11h1'/%3E%3Cpath stroke='%23bad4fc' d='M9 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='M1 12h1'/%3E%3Cpath stroke='%23c1d2fb' d='M4 12h1'/%3E%3Cpath stroke='%23bed1fc' d='M5 12h2'/%3E%3Cpath stroke='%23bbd3fd' d='M8 12h1'/%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='M1 13h1'/%3E%3Cpath stroke='%23b7cbf9' d='M2 13h1'/%3E%3Cpath stroke='%23b9cefb' d='M3 13h1'/%3E%3Cpath stroke='%23bbcef9' d='M6 13h1'/%3E%3Cpath stroke='%23b9cffb' d='M7 13h1'/%3E%3Cpath stroke='%23b8cffa' d='M8 13h1'/%3E%3Cpath stroke='%23b6cdfb' d='M9 13h1'/%3E%3Cpath stroke='%23b2cdfb' d='M10 13h1'/%3E%3Cpath stroke='%23b0cbf9' d='M11 13h1'/%3E%3Cpath stroke='%23aec8f7' d='M13 13h1'/%3E%3Cpath stroke='%23b0c5f2' d='M14 13h1'/%3E%3Cpath stroke='%23dbe3f8' d='M1 14h1'/%3E%3Cpath stroke='%23b7c6f1' d='M2 14h1'/%3E%3Cpath stroke='%23b8c9f2' d='M3 14h1m3 0h2'/%3E%3Cpath stroke='%23b2c8f4' d='M11 14h1'/%3E%3Cpath stroke='%23b1c6f3' d='M12 14h1'/%3E%3Cpath stroke='%23b0c4f2' d='M13 14h1'/%3E%3Cpath stroke='%23d9e3f6' d='M14 14h1'/%3E%3Cpath stroke='%23aec0d6' d='M16 14h1'/%3E%3Cpath stroke='%23c3d4e7' d='M0 15h1'/%3E%3Cpath stroke='%23aec4e5' d='M15 15h1'/%3E%3Cpath stroke='%23edf1f3' d='M0 16h1'/%3E%3Cpath stroke='%23aac0e1' d='M1 16h1'/%3E%3Cpath stroke='%2394b1d9' d='M2 16h1'/%3E%3Cpath stroke='%2388a7d8' d='M3 16h1'/%3E%3Cpath stroke='%2383a4d3' d='M4 16h1'/%3E%3Cpath stroke='%237da0d4' d='M5 16h1m4 0h3'/%3E%3Cpath stroke='%237e9fd2' d='M6 16h1'/%3E%3Cpath stroke='%237c9fd3' d='M7 16h3'/%3E%3Cpath stroke='%2382a4d6' d='M13 16h1'/%3E%3Cpath stroke='%2394b0dd' d='M14 16h1'/%3E%3Cpath stroke='%23ecf2f7' d='M15 16h1'/%3E%3C/svg%3E")
			}
			
			.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]{
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 21 21' shape-rendering='crispEdges'%3E%3Cpath stroke='%236696eb' d='M1 0h1m17 0h1'/%3E%3Cpath stroke='%23e5edfb' d='M2 0h1'/%3E%3Cpath stroke='%23fff' d='M3 0h16M0 2h1M0 3h1m19 0h1M0 4h1m19 0h1M0 5h1m19 0h1M0 6h1m19 0h1M0 7h1m19 0h1M0 8h1m19 0h1M0 9h1m19 0h1M0 10h1m19 0h1M0 11h1m19 0h1M0 12h1m19 0h1M0 13h1m4 0h7m8 0h1M0 14h1m4 0h7m8 0h1M0 15h1m4 0h7m8 0h1M0 16h1m19 0h1M0 17h1m19 0h1m-1 1h1M2 20h16'/%3E%3Cpath stroke='%236693e9' d='M0 1h1m19 0h1'/%3E%3Cpath stroke='%23dce5fd' d='M1 1h1'/%3E%3Cpath stroke='%23739af8' d='M2 1h1'/%3E%3Cpath stroke='%23608cf7' d='M3 1h1M2 8h1'/%3E%3Cpath stroke='%235584f6' d='M4 1h1'/%3E%3Cpath stroke='%234d7ef6' d='M5 1h1M1 6h1m5 4h1'/%3E%3Cpath stroke='%23487af5' d='M6 1h1'/%3E%3Cpath stroke='%234276f5' d='M7 1h1M3 14h1'/%3E%3Cpath stroke='%234478f5' d='M8 1h1m5 3h1M2 12h1'/%3E%3Cpath stroke='%233e73f5' d='M9 1h2'/%3E%3Cpath stroke='%233b71f5' d='M11 1h2'/%3E%3Cpath stroke='%23336cf4' d='M13 1h2'/%3E%3Cpath stroke='%23306af4' d='M15 1h1'/%3E%3Cpath stroke='%232864f4' d='M16 1h1'/%3E%3Cpath stroke='%231f5def' d='M17 1h1'/%3E%3Cpath stroke='%233467e0' d='M18 1h1'/%3E%3Cpath stroke='%23d2dbf2' d='M19 1h1'/%3E%3Cpath stroke='%23769cf8' d='M1 2h1'/%3E%3Cpath stroke='%2390aff9' d='M2 2h1'/%3E%3Cpath stroke='%2394b2f9' d='M3 2h1'/%3E%3Cpath stroke='%2385a7f8' d='M4 2h1'/%3E%3Cpath stroke='%23759cf8' d='M5 2h1'/%3E%3Cpath stroke='%236e97f8' d='M6 2h1M2 6h1'/%3E%3Cpath stroke='%236892f7' d='M7 2h1'/%3E%3Cpath stroke='%236690f7' d='M8 2h1'/%3E%3Cpath stroke='%23628ef7' d='M9 2h1m0 1h1'/%3E%3Cpath stroke='%235f8cf7' d='M10 2h1'/%3E%3Cpath stroke='%235e8bf7' d='M11 2h1'/%3E%3Cpath stroke='%235988f6' d='M12 2h1'/%3E%3Cpath stroke='%235685f6' d='M13 2h1'/%3E%3Cpath stroke='%235082f6' d='M14 2h1'/%3E%3Cpath stroke='%23497cf5' d='M15 2h1'/%3E%3Cpath stroke='%233f75f5' d='M16 2h1m-2 2h1'/%3E%3Cpath stroke='%23326bf2' d='M17 2h1'/%3E%3Cpath stroke='%23235ce3' d='M18 2h1'/%3E%3Cpath stroke='%23305cc5' d='M19 2h1'/%3E%3Cpath stroke='%23e5ecfb' d='M20 2h1'/%3E%3Cpath stroke='%236590f7' d='M1 3h1'/%3E%3Cpath stroke='%2397b4f9' d='M2 3h1'/%3E%3Cpath stroke='%239ab7fa' d='M3 3h1'/%3E%3Cpath stroke='%2389aaf9' d='M4 3h1M2 4h1'/%3E%3Cpath stroke='%237aa0f8' d='M5 3h1'/%3E%3Cpath stroke='%23729af8' d='M6 3h1'/%3E%3Cpath stroke='%236d95f8' d='M7 3h1'/%3E%3Cpath stroke='%236892f8' d='M8 3h1M2 7h1'/%3E%3Cpath stroke='%23658ff7' d='M9 3h1'/%3E%3Cpath stroke='%23618df7' d='M11 3h1'/%3E%3Cpath stroke='%235d8af7' d='M12 3h1M3 9h1'/%3E%3Cpath stroke='%235987f6' d='M13 3h1M2 9h1'/%3E%3Cpath stroke='%235283f6' d='M14 3h1'/%3E%3Cpath stroke='%234c7ef6' d='M15 3h1'/%3E%3Cpath stroke='%234377f5' d='M16 3h1'/%3E%3Cpath stroke='%23376ef2' d='M17 3h1'/%3E%3Cpath stroke='%23285fe3' d='M18 3h1'/%3E%3Cpath stroke='%231546b9' d='M19 3h1'/%3E%3Cpath stroke='%235886f6' d='M1 4h1'/%3E%3Cpath stroke='%238dadf9' d='M3 4h1'/%3E%3Cpath stroke='%237fa3f8' d='M4 4h1'/%3E%3Cpath stroke='%237199f8' d='M5 4h1M4 5h1'/%3E%3Cpath stroke='%236a93f8' d='M6 4h1M4 6h1M3 7h1'/%3E%3Cpath stroke='%23648ef7' d='M7 4h1'/%3E%3Cpath stroke='%235e8af7' d='M8 4h1'/%3E%3Cpath stroke='%235986f7' d='M9 4h1M5 9h1m-2 1h1'/%3E%3Cpath stroke='%235482f6' d='M10 4h1'/%3E%3Cpath stroke='%235180f6' d='M11 4h1'/%3E%3Cpath stroke='%234b7cf5' d='M12 4h1'/%3E%3Cpath stroke='%234a7cf5' d='M13 4h1'/%3E%3Cpath stroke='%233a72f4' d='M16 4h1'/%3E%3Cpath stroke='%23346cf2' d='M17 4h1'/%3E%3Cpath stroke='%232a61e3' d='M18 4h1'/%3E%3Cpath stroke='%231848bb' d='M19 4h1'/%3E%3Cpath stroke='%235282f6' d='M1 5h1m4 6h1m-3 1h1'/%3E%3Cpath stroke='%23799ff8' d='M2 5h1'/%3E%3Cpath stroke='%237ca1f8' d='M3 5h1'/%3E%3Cpath stroke='%236791f8' d='M5 5h1'/%3E%3Cpath stroke='%23608bf7' d='M6 5h1M4 8h1'/%3E%3Cpath stroke='%235985f7' d='M7 5h1'/%3E%3Cpath stroke='%235381f6' d='M8 5h1M6 9h1'/%3E%3Cpath stroke='%234d7bf6' d='M9 5h1M8 6h1'/%3E%3Cpath stroke='%234677f5' d='M10 5h1'/%3E%3Cpath stroke='%234173f5' d='M11 5h1'/%3E%3Cpath stroke='%233a6ff4' d='M12 5h1'/%3E%3Cpath stroke='%23386ef4' d='M13 5h1'/%3E%3Cpath stroke='%23346cf4' d='M14 5h1'/%3E%3Cpath stroke='%23326cf4' d='M15 5h1'/%3E%3Cpath stroke='%23316bf4' d='M16 5h1M3 16h1'/%3E%3Cpath stroke='%233069f1' d='M17 5h1'/%3E%3Cpath stroke='%232c62e4' d='M18 5h1'/%3E%3Cpath stroke='%231d4cbc' d='M19 5h1m-1 1h1'/%3E%3Cpath stroke='%237099f8' d='M3 6h1'/%3E%3Cpath stroke='%23628cf8' d='M5 6h1'/%3E%3Cpath stroke='%235b86f7' d='M6 6h1'/%3E%3Cpath stroke='%235480f7' d='M7 6h1'/%3E%3Cpath stroke='%234777f6' d='M9 6h1'/%3E%3Cpath stroke='%234072f5' d='M10 6h1'/%3E%3Cpath stroke='%233a6ff5' d='M11 6h1'/%3E%3Cpath stroke='%23346df4' d='M12 6h1'/%3E%3Cpath stroke='%23306bf4' d='M13 6h1'/%3E%3Cpath stroke='%232d69f4' d='M14 6h1'/%3E%3Cpath stroke='%232c69f5' d='M15 6h1'/%3E%3Cpath stroke='%232d69f5' d='M16 6h1'/%3E%3Cpath stroke='%232e69f2' d='M17 6h1'/%3E%3Cpath stroke='%232c63e5' d='M18 6h1'/%3E%3Cpath stroke='%234679f5' d='M1 7h1M1 8h1'/%3E%3Cpath stroke='%23658ff8' d='M4 7h1'/%3E%3Cpath stroke='%235e89f7' d='M5 7h1'/%3E%3Cpath stroke='%235783f7' d='M6 7h1'/%3E%3Cpath stroke='%23507ef6' d='M7 7h1'/%3E%3Cpath stroke='%234a79f6' d='M8 7h1'/%3E%3Cpath stroke='%234375f5' d='M9 7h1'/%3E%3Cpath stroke='%233d71f5' d='M10 7h1'/%3E%3Cpath stroke='%23366ef4' d='M11 7h1M2 14h1'/%3E%3Cpath stroke='%232f6bf5' d='M12 7h1'/%3E%3Cpath stroke='%232b69f5' d='M13 7h1'/%3E%3Cpath stroke='%232867f5' d='M14 7h1'/%3E%3Cpath stroke='%232766f5' d='M15 7h1'/%3E%3Cpath stroke='%232a68f5' d='M16 7h1'/%3E%3Cpath stroke='%232c69f2' d='M17 7h1'/%3E%3Cpath stroke='%232a62e4' d='M18 7h1'/%3E%3Cpath stroke='%231c4cbd' d='M19 7h1'/%3E%3Cpath stroke='%23628df8' d='M3 8h1'/%3E%3Cpath stroke='%235b87f7' d='M5 8h1'/%3E%3Cpath stroke='%235482f7' d='M6 8h1'/%3E%3Cpath stroke='%234e7cf6' d='M7 8h1'/%3E%3Cpath stroke='%234778f6' d='M8 8h1'/%3E%3Cpath stroke='%234174f5' d='M9 8h1'/%3E%3Cpath stroke='%233a71f5' d='M10 8h1'/%3E%3Cpath stroke='%23346ef4' d='M11 8h1'/%3E%3Cpath stroke='%232d6bf5' d='M12 8h1'/%3E%3Cpath stroke='%232869f5' d='M13 8h1'/%3E%3Cpath stroke='%232467f5' d='M14 8h1'/%3E%3Cpath stroke='%232266f5' d='M15 8h1'/%3E%3Cpath stroke='%232567f5' d='M16 8h1'/%3E%3Cpath stroke='%232968f2' d='M17 8h1'/%3E%3Cpath stroke='%232963e4' d='M18 8h1'/%3E%3Cpath stroke='%231b4bbd' d='M19 8h1'/%3E%3Cpath stroke='%233c72f4' d='M1 9h1'/%3E%3Cpath stroke='%235d89f7' d='M4 9h1'/%3E%3Cpath stroke='%234e7ef6' d='M7 9h1'/%3E%3Cpath stroke='%23477af5' d='M8 9h1'/%3E%3Cpath stroke='%234178f5' d='M9 9h1'/%3E%3Cpath stroke='%233a74f5' d='M10 9h1'/%3E%3Cpath stroke='%233472f5' d='M11 9h1'/%3E%3Cpath stroke='%232c6ff5' d='M12 9h1'/%3E%3Cpath stroke='%23276cf5' d='M13 9h1'/%3E%3Cpath stroke='%23236af6' d='M14 9h1'/%3E%3Cpath stroke='%232069f6' d='M15 9h1'/%3E%3Cpath stroke='%232268f5' d='M16 9h1'/%3E%3Cpath stroke='%232569f2' d='M17 9h1'/%3E%3Cpath stroke='%232562e6' d='M18 9h1'/%3E%3Cpath stroke='%23194bbe' d='M19 9h1'/%3E%3Cpath stroke='%23376ef4' d='M1 10h1'/%3E%3Cpath stroke='%235181f6' d='M2 10h1'/%3E%3Cpath stroke='%235785f7' d='M3 10h1m1 0h1'/%3E%3Cpath stroke='%235281f6' d='M6 10h1'/%3E%3Cpath stroke='%23477bf6' d='M8 10h1'/%3E%3Cpath stroke='%234179f6' d='M9 10h1'/%3E%3Cpath stroke='%233b77f5' d='M10 10h1'/%3E%3Cpath stroke='%233474f5' d='M11 10h1'/%3E%3Cpath stroke='%232c72f6' d='M12 10h1'/%3E%3Cpath stroke='%23266ff6' d='M13 10h1'/%3E%3Cpath stroke='%23226df6' d='M14 10h1'/%3E%3Cpath stroke='%231e6bf6' d='M15 10h1'/%3E%3Cpath stroke='%231f6af6' d='M16 10h1'/%3E%3Cpath stroke='%23216af3' d='M17 10h1'/%3E%3Cpath stroke='%232162e6' d='M18 10h1'/%3E%3Cpath stroke='%231649be' d='M19 10h1'/%3E%3Cpath stroke='%23326bf4' d='M1 11h1'/%3E%3Cpath stroke='%234b7df5' d='M2 11h1'/%3E%3Cpath stroke='%235483f6' d='M3 11h1'/%3E%3Cpath stroke='%235684f7' d='M4 11h1'/%3E%3Cpath stroke='%235583f7' d='M5 11h1'/%3E%3Cpath stroke='%234d80f6' d='M7 11h1'/%3E%3Cpath stroke='%23487df6' d='M8 11h1'/%3E%3Cpath stroke='%23427cf6' d='M9 11h1'/%3E%3Cpath stroke='%233c7af6' d='M10 11h1'/%3E%3Cpath stroke='%233478f6' d='M11 11h1'/%3E%3Cpath stroke='%232d76f6' d='M12 11h1'/%3E%3Cpath stroke='%232673f7' d='M13 11h1'/%3E%3Cpath stroke='%232171f7' d='M14 11h1'/%3E%3Cpath stroke='%231c6ff6' d='M15 11h1'/%3E%3Cpath stroke='%231c6df6' d='M16 11h1'/%3E%3Cpath stroke='%231c6af4' d='M17 11h1'/%3E%3Cpath stroke='%231c61e6' d='M18 11h1'/%3E%3Cpath stroke='%231248bf' d='M19 11h1'/%3E%3Cpath stroke='%232b66f4' d='M1 12h1'/%3E%3Cpath stroke='%234e7ff6' d='M3 12h1'/%3E%3Cpath stroke='%235383f6' d='M5 12h1'/%3E%3Cpath stroke='%235182f6' d='M6 12h1'/%3E%3Cpath stroke='%234d81f7' d='M7 12h1'/%3E%3Cpath stroke='%23487ff6' d='M8 12h1'/%3E%3Cpath stroke='%23437ff6' d='M9 12h1'/%3E%3Cpath stroke='%233d7ef6' d='M10 12h1'/%3E%3Cpath stroke='%23357cf6' d='M11 12h1'/%3E%3Cpath stroke='%232d7af7' d='M12 12h1'/%3E%3Cpath stroke='%232677f7' d='M13 12h1'/%3E%3Cpath stroke='%232174f7' d='M14 12h1'/%3E%3Cpath stroke='%231b71f7' d='M15 12h1'/%3E%3Cpath stroke='%23186ef7' d='M16 12h1'/%3E%3Cpath stroke='%23186af4' d='M17 12h1'/%3E%3Cpath stroke='%23165fe7' d='M18 12h1'/%3E%3Cpath stroke='%230f47c0' d='M19 12h1'/%3E%3Cpath stroke='%232562f3' d='M1 13h1'/%3E%3Cpath stroke='%233d73f4' d='M2 13h1'/%3E%3Cpath stroke='%23487bf5' d='M3 13h1'/%3E%3Cpath stroke='%234e80f6' d='M4 13h1'/%3E%3Cpath stroke='%232d7cf7' d='M12 13h1'/%3E%3Cpath stroke='%232679f8' d='M13 13h1'/%3E%3Cpath stroke='%232077f7' d='M14 13h1'/%3E%3Cpath stroke='%231973f7' d='M15 13h1'/%3E%3Cpath stroke='%23166ff7' d='M16 13h1'/%3E%3Cpath stroke='%231369f4' d='M17 13h1'/%3E%3Cpath stroke='%23105de8' d='M18 13h1'/%3E%3Cpath stroke='%230a44bf' d='M19 13h1'/%3E%3Cpath stroke='%231e5df3' d='M1 14h1'/%3E%3Cpath stroke='%23497bf5' d='M4 14h1'/%3E%3Cpath stroke='%232d7df7' d='M12 14h1'/%3E%3Cpath stroke='%23257af8' d='M13 14h1'/%3E%3Cpath stroke='%231e77f8' d='M14 14h1'/%3E%3Cpath stroke='%231773f8' d='M15 14h1'/%3E%3Cpath stroke='%23116df7' d='M16 14h1'/%3E%3Cpath stroke='%230d66f4' d='M17 14h1m-3 3h1'/%3E%3Cpath stroke='%230b59e7' d='M18 14h1'/%3E%3Cpath stroke='%230641c0' d='M19 14h1m-6 5h1'/%3E%3Cpath stroke='%231859f3' d='M1 15h1'/%3E%3Cpath stroke='%232e68f4' d='M2 15h1'/%3E%3Cpath stroke='%233a71f4' d='M3 15h1'/%3E%3Cpath stroke='%234277f5' d='M4 15h1'/%3E%3Cpath stroke='%232a7cf8' d='M12 15h1'/%3E%3Cpath stroke='%23247af8' d='M13 15h1'/%3E%3Cpath stroke='%231d77f8' d='M14 15h1'/%3E%3Cpath stroke='%231573f8' d='M15 15h1'/%3E%3Cpath stroke='%230e6cf8' d='M16 15h1'/%3E%3Cpath stroke='%230963f4' d='M17 15h1'/%3E%3Cpath stroke='%230556e7' d='M18 15h1'/%3E%3Cpath stroke='%23023fbf' d='M19 15h1'/%3E%3Cpath stroke='%231456f3' d='M1 16h1'/%3E%3Cpath stroke='%232562f4' d='M2 16h1'/%3E%3Cpath stroke='%233971f4' d='M4 16h1'/%3E%3Cpath stroke='%233d74f5' d='M5 16h1'/%3E%3Cpath stroke='%233d74f6' d='M6 16h1'/%3E%3Cpath stroke='%233b75f5' d='M7 16h1'/%3E%3Cpath stroke='%233976f5' d='M8 16h1'/%3E%3Cpath stroke='%233777f5' d='M9 16h1'/%3E%3Cpath stroke='%233278f6' d='M10 16h1'/%3E%3Cpath stroke='%232c78f7' d='M11 16h1'/%3E%3Cpath stroke='%232577f7' d='M12 16h1'/%3E%3Cpath stroke='%231f76f7' d='M13 16h1'/%3E%3Cpath stroke='%231972f7' d='M14 16h1'/%3E%3Cpath stroke='%23116ef8' d='M15 16h1'/%3E%3Cpath stroke='%230b68f7' d='M16 16h1'/%3E%3Cpath stroke='%230560f4' d='M17 16h1'/%3E%3Cpath stroke='%230253e6' d='M18 16h1'/%3E%3Cpath stroke='%23013dbe' d='M19 16h1'/%3E%3Cpath stroke='%230e50ed' d='M1 17h1'/%3E%3Cpath stroke='%231c5bef' d='M2 17h1'/%3E%3Cpath stroke='%232863f0' d='M3 17h1'/%3E%3Cpath stroke='%232f68f0' d='M4 17h1'/%3E%3Cpath stroke='%23336bf1' d='M5 17h1'/%3E%3Cpath stroke='%23346cf1' d='M6 17h1'/%3E%3Cpath stroke='%23316cf2' d='M7 17h1'/%3E%3Cpath stroke='%23316df2' d='M8 17h1'/%3E%3Cpath stroke='%232e6ff2' d='M9 17h1'/%3E%3Cpath stroke='%232a70f2' d='M10 17h1'/%3E%3Cpath stroke='%232570f3' d='M11 17h1'/%3E%3Cpath stroke='%231f6ff3' d='M12 17h1'/%3E%3Cpath stroke='%23196df4' d='M13 17h1'/%3E%3Cpath stroke='%23136af4' d='M14 17h1'/%3E%3Cpath stroke='%230760f3' d='M16 17h1'/%3E%3Cpath stroke='%23025af0' d='M17 17h1'/%3E%3Cpath stroke='%23004de2' d='M18 17h1'/%3E%3Cpath stroke='%23003ab9' d='M19 17h1'/%3E%3Cpath stroke='%23e5eefd' d='M0 18h1'/%3E%3Cpath stroke='%23285edf' d='M1 18h1'/%3E%3Cpath stroke='%23134fdf' d='M2 18h1'/%3E%3Cpath stroke='%231b55df' d='M3 18h1'/%3E%3Cpath stroke='%23215ae2' d='M4 18h1'/%3E%3Cpath stroke='%23255ce1' d='M5 18h1'/%3E%3Cpath stroke='%23265de0' d='M6 18h1'/%3E%3Cpath stroke='%23245ce1' d='M7 18h1'/%3E%3Cpath stroke='%23235ee2' d='M8 18h1'/%3E%3Cpath stroke='%23215ee2' d='M9 18h1'/%3E%3Cpath stroke='%231e5ee2' d='M10 18h1'/%3E%3Cpath stroke='%231b5fe5' d='M11 18h1'/%3E%3Cpath stroke='%23165ee5' d='M12 18h1'/%3E%3Cpath stroke='%23135de6' d='M13 18h1'/%3E%3Cpath stroke='%230e5be5' d='M14 18h1'/%3E%3Cpath stroke='%230958e6' d='M15 18h1'/%3E%3Cpath stroke='%230454e6' d='M16 18h1'/%3E%3Cpath stroke='%23014ee2' d='M17 18h1'/%3E%3Cpath stroke='%230045d3' d='M18 18h1'/%3E%3Cpath stroke='%231f4eb8' d='M19 18h1'/%3E%3Cpath stroke='%23679ef6' d='M0 19h1m19 0h1'/%3E%3Cpath stroke='%23d0daf1' d='M1 19h1'/%3E%3Cpath stroke='%232856c3' d='M2 19h1'/%3E%3Cpath stroke='%230d3fb6' d='M3 19h1'/%3E%3Cpath stroke='%231144bd' d='M4 19h1'/%3E%3Cpath stroke='%231245bb' d='M5 19h1'/%3E%3Cpath stroke='%231445b9' d='M6 19h1'/%3E%3Cpath stroke='%231244b9' d='M7 19h1'/%3E%3Cpath stroke='%231345bc' d='M8 19h1'/%3E%3Cpath stroke='%231346bd' d='M9 19h1'/%3E%3Cpath stroke='%231045be' d='M10 19h1'/%3E%3Cpath stroke='%230d45c0' d='M11 19h1'/%3E%3Cpath stroke='%230a45c1' d='M12 19h1'/%3E%3Cpath stroke='%230844c3' d='M13 19h1'/%3E%3Cpath stroke='%23033fc0' d='M15 19h1'/%3E%3Cpath stroke='%23013fc3' d='M16 19h1'/%3E%3Cpath stroke='%23003bbe' d='M17 19h1'/%3E%3Cpath stroke='%231f4eb9' d='M18 19h1'/%3E%3Cpath stroke='%23cfd8ed' d='M19 19h1'/%3E%3Cpath stroke='%23669bf5' d='M1 20h1m17 0h1'/%3E%3Cpath stroke='%23e5edfd' d='M18 20h1'/%3E%3C/svg%3E")
			}
			
			.title-bar-controls button[aria-label=Minimize]: hover{
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 21 21' shape-rendering='crispEdges'%3E%3Cpath stroke='%2393b1ed' d='M1 0h1m17 0h1'/%3E%3Cpath stroke='%23f3f6fd' d='M2 0h1m17 2h1M0 18h1'/%3E%3Cpath stroke='%23fff' d='M3 0h15M0 3h1m19 0h1M0 4h1m19 0h1M0 5h1m19 0h1M0 6h1m19 0h1M0 7h1m19 0h1M0 8h1m19 0h1M0 9h1m19 0h1M0 10h1m19 0h1M0 11h1m19 0h1M0 12h1m19 0h1M0 13h1m4 0h7m8 0h1M0 14h1m4 0h7m8 0h1M0 15h1m4 0h7m8 0h1M0 16h1m19 0h1M0 17h1m19 0h1M3 20h11'/%3E%3Cpath stroke='%23f5f7fd' d='M18 0h1M0 2h1m19 16h1M2 20h1'/%3E%3Cpath stroke='%2393b0ec' d='M0 1h1m19 0h1'/%3E%3Cpath stroke='%23dce7ff' d='M1 1h1'/%3E%3Cpath stroke='%2372a1ff' d='M2 1h1m4 3h1M5 6h1'/%3E%3Cpath stroke='%236a9cff' d='M3 1h1'/%3E%3Cpath stroke='%235f94ff' d='M4 1h1M4 11h2'/%3E%3Cpath stroke='%23558eff' d='M5 1h1M3 12h1'/%3E%3Cpath stroke='%23518bff' d='M6 1h1m3 4h1'/%3E%3Cpath stroke='%234a86ff' d='M7 1h1'/%3E%3Cpath stroke='%234b87ff' d='M8 1h1m2 4h1M2 12h1'/%3E%3Cpath stroke='%234684ff' d='M9 1h2'/%3E%3Cpath stroke='%234482ff' d='M11 1h1m4 1h1m-5 3h1M1 9h1m0 4h1'/%3E%3Cpath stroke='%234080ff' d='M12 1h1M3 15h1'/%3E%3Cpath stroke='%233b7cff' d='M13 1h1'/%3E%3Cpath stroke='%233a7bff' d='M14 1h1'/%3E%3Cpath stroke='%233678ff' d='M15 1h1'/%3E%3Cpath stroke='%232e73ff' d='M16 1h1'/%3E%3Cpath stroke='%23276cf9' d='M17 1h1'/%3E%3Cpath stroke='%233a73e7' d='M18 1h1'/%3E%3Cpath stroke='%23d3ddf3' d='M19 1h1'/%3E%3Cpath stroke='%2373a1ff' d='M1 2h1'/%3E%3Cpath stroke='%2397b9ff' d='M2 2h1'/%3E%3Cpath stroke='%239cbdff' d='M3 2h1'/%3E%3Cpath stroke='%2390b5ff' d='M4 2h1'/%3E%3Cpath stroke='%2382acff' d='M5 2h1M5 4h1'/%3E%3Cpath stroke='%237ba7ff' d='M6 2h1M2 6h1'/%3E%3Cpath stroke='%2375a3ff' d='M7 2h1'/%3E%3Cpath stroke='%236f9fff' d='M8 2h1M3 8h1'/%3E%3Cpath stroke='%236c9dff' d='M9 2h1M1 3h1'/%3E%3Cpath stroke='%23689bff' d='M10 2h1M5 8h1M3 9h1'/%3E%3Cpath stroke='%236599ff' d='M11 2h1m0 1h1M5 9h1'/%3E%3Cpath stroke='%236095ff' d='M12 2h1m0 1h1M8 5h1'/%3E%3Cpath stroke='%235d93ff' d='M13 2h1'/%3E%3Cpath stroke='%23568eff' d='M14 2h1'/%3E%3Cpath stroke='%234f8aff' d='M15 2h1M3 13h1m0 1h1'/%3E%3Cpath stroke='%233878fb' d='M17 2h1'/%3E%3Cpath stroke='%232969eb' d='M18 2h1'/%3E%3Cpath stroke='%233566cb' d='M19 2h1'/%3E%3Cpath stroke='%239ebeff' d='M2 3h1'/%3E%3Cpath stroke='%23a4c2ff' d='M3 3h1'/%3E%3Cpath stroke='%2399baff' d='M4 3h1M3 4h1'/%3E%3Cpath stroke='%238ab0ff' d='M5 3h1'/%3E%3Cpath stroke='%2382abff' d='M6 3h1'/%3E%3Cpath stroke='%2379a6ff' d='M7 3h1'/%3E%3Cpath stroke='%2374a3ff' d='M8 3h1'/%3E%3Cpath stroke='%2371a0ff' d='M9 3h1'/%3E%3Cpath stroke='%236d9eff' d='M10 3h1M5 7h1M4 8h1'/%3E%3Cpath stroke='%23699bff' d='M11 3h1'/%3E%3Cpath stroke='%235a91ff' d='M14 3h1M2 10h1m1 2h1'/%3E%3Cpath stroke='%23538cff' d='M15 3h1M2 11h1'/%3E%3Cpath stroke='%234986ff' d='M16 3h1'/%3E%3Cpath stroke='%233d7cfc' d='M17 3h1'/%3E%3Cpath stroke='%232e6cea' d='M18 3h1'/%3E%3Cpath stroke='%231b52c2' d='M19 3h1'/%3E%3Cpath stroke='%236296ff' d='M1 4h1'/%3E%3Cpath stroke='%2391b5ff' d='M2 4h1'/%3E%3Cpath stroke='%238fb4ff' d='M4 4h1'/%3E%3Cpath stroke='%237aa6ff' d='M6 4h1'/%3E%3Cpath stroke='%236b9dff' d='M8 4h1'/%3E%3Cpath stroke='%236598ff' d='M9 4h1'/%3E%3Cpath stroke='%235f95ff' d='M10 4h1M7 7h1m-2 3h1'/%3E%3Cpath stroke='%235b92ff' d='M11 4h1'/%3E%3Cpath stroke='%23548dff' d='M12 4h1M1 6h1m2 7h1'/%3E%3Cpath stroke='%23528cff' d='M13 4h1'/%3E%3Cpath stroke='%234c88ff' d='M14 4h1m-5 2h1'/%3E%3Cpath stroke='%234785ff' d='M15 4h1'/%3E%3Cpath stroke='%234280ff' d='M16 4h1'/%3E%3Cpath stroke='%233b7afb' d='M17 4h1'/%3E%3Cpath stroke='%23316fec' d='M18 4h1'/%3E%3Cpath stroke='%231f55c3' d='M19 4h1'/%3E%3Cpath stroke='%235990ff' d='M1 5h1m7 0h1'/%3E%3Cpath stroke='%2385adff' d='M2 5h1'/%3E%3Cpath stroke='%238bb1ff' d='M3 5h1'/%3E%3Cpath stroke='%2384acff' d='M4 5h1'/%3E%3Cpath stroke='%2378a5ff' d='M5 5h1'/%3E%3Cpath stroke='%2370a0ff' d='M6 5h1'/%3E%3Cpath stroke='%23679aff' d='M7 5h1'/%3E%3Cpath stroke='%234180ff' d='M13 5h1'/%3E%3Cpath stroke='%233d7eff' d='M14 5h1'/%3E%3Cpath stroke='%233b7bff' d='M15 5h1'/%3E%3Cpath stroke='%23397aff' d='M16 5h1M1 11h1'/%3E%3Cpath stroke='%233979fc' d='M17 5h1'/%3E%3Cpath stroke='%233370ec' d='M18 5h1m-1 1h1'/%3E%3Cpath stroke='%232357c3' d='M19 5h1'/%3E%3Cpath stroke='%2381aaff' d='M3 6h1'/%3E%3Cpath stroke='%237aa7ff' d='M4 6h1'/%3E%3Cpath stroke='%236b9cff' d='M6 6h1'/%3E%3Cpath stroke='%236297ff' d='M7 6h1m-3 4h1'/%3E%3Cpath stroke='%235c93ff' d='M8 6h1M7 8h1m-2 3h1'/%3E%3Cpath stroke='%23548eff' d='M9 6h1'/%3E%3Cpath stroke='%234483ff' d='M11 6h1M5 16h1'/%3E%3Cpath stroke='%233d7fff' d='M12 6h1'/%3E%3Cpath stroke='%23387bff' d='M13 6h1'/%3E%3Cpath stroke='%233679ff' d='M14 6h1m1 0h1'/%3E%3Cpath stroke='%233579ff' d='M15 6h1'/%3E%3Cpath stroke='%233879fc' d='M17 6h1'/%3E%3Cpath stroke='%232358c5' d='M19 6h1'/%3E%3Cpath stroke='%234e89ff' d='M1 7h1'/%3E%3Cpath stroke='%2371a1ff' d='M2 7h1'/%3E%3Cpath stroke='%2377a5ff' d='M3 7h1'/%3E%3Cpath stroke='%2374a2ff' d='M4 7h1'/%3E%3Cpath stroke='%23669aff' d='M6 7h1'/%3E%3Cpath stroke='%235890ff' d='M8 7h1'/%3E%3Cpath stroke='%23508dff' d='M9 7h1'/%3E%3Cpath stroke='%234989ff' d='M10 7h1'/%3E%3Cpath stroke='%234183ff' d='M11 7h1'/%3E%3Cpath stroke='%233a7fff' d='M12 7h1'/%3E%3Cpath stroke='%23357bff' d='M13 7h1'/%3E%3Cpath stroke='%23317aff' d='M14 7h2'/%3E%3Cpath stroke='%23337aff' d='M16 7h1'/%3E%3Cpath stroke='%23367bfc' d='M17 7h1'/%3E%3Cpath stroke='%233372ed' d='M18 7h1'/%3E%3Cpath stroke='%232359c5' d='M19 7h1'/%3E%3Cpath stroke='%234d88ff' d='M1 8h1'/%3E%3Cpath stroke='%23699cff' d='M2 8h1'/%3E%3Cpath stroke='%236398ff' d='M6 8h1'/%3E%3Cpath stroke='%23548fff' d='M8 8h1'/%3E%3Cpath stroke='%234d8cff' d='M9 8h1'/%3E%3Cpath stroke='%23468aff' d='M10 8h1'/%3E%3Cpath stroke='%233f86ff' d='M11 8h1'/%3E%3Cpath stroke='%233983ff' d='M12 8h1'/%3E%3Cpath stroke='%233380ff' d='M13 8h1'/%3E%3Cpath stroke='%232f7fff' d='M14 8h2'/%3E%3Cpath stroke='%233280ff' d='M16 8h1'/%3E%3Cpath stroke='%233580fc' d='M17 8h1'/%3E%3Cpath stroke='%233276ed' d='M18 8h1'/%3E%3Cpath stroke='%23235ac6' d='M19 8h1'/%3E%3Cpath stroke='%236196ff' d='M2 9h1m3 0h1m-4 1h1'/%3E%3Cpath stroke='%23689aff' d='M4 9h1'/%3E%3Cpath stroke='%235b93ff' d='M7 9h1'/%3E%3Cpath stroke='%235491ff' d='M8 9h1'/%3E%3Cpath stroke='%234f90ff' d='M9 9h1'/%3E%3Cpath stroke='%234890ff' d='M10 9h1'/%3E%3Cpath stroke='%23428eff' d='M11 9h1'/%3E%3Cpath stroke='%233b8dff' d='M12 9h1'/%3E%3Cpath stroke='%23348aff' d='M13 9h1'/%3E%3Cpath stroke='%233189ff' d='M14 9h1'/%3E%3Cpath stroke='%232f88ff' d='M15 9h1'/%3E%3Cpath stroke='%233188ff' d='M16 9h1'/%3E%3Cpath stroke='%233385fc' d='M17 9h1'/%3E%3Cpath stroke='%233079ed' d='M18 9h1'/%3E%3Cpath stroke='%23215cc8' d='M19 9h1'/%3E%3Cpath stroke='%233f7fff' d='M1 10h1'/%3E%3Cpath stroke='%236397ff' d='M4 10h1'/%3E%3Cpath stroke='%235993ff' d='M7 10h1'/%3E%3Cpath stroke='%235492ff' d='M8 10h1'/%3E%3Cpath stroke='%235093ff' d='M9 10h1'/%3E%3Cpath stroke='%234a95ff' d='M10 10h1'/%3E%3Cpath stroke='%234496ff' d='M11 10h1'/%3E%3Cpath stroke='%233d96ff' d='M12 10h1'/%3E%3Cpath stroke='%233694ff' d='M13 10h1'/%3E%3Cpath stroke='%233193ff' d='M14 10h1'/%3E%3Cpath stroke='%232f92ff' d='M15 10h1'/%3E%3Cpath stroke='%233090ff' d='M16 10h1'/%3E%3Cpath stroke='%23328cfc' d='M17 10h1'/%3E%3Cpath stroke='%232e7def' d='M18 10h1'/%3E%3Cpath stroke='%231e5dc9' d='M19 10h1'/%3E%3Cpath stroke='%235c92ff' d='M3 11h1m1 1h1'/%3E%3Cpath stroke='%235792ff' d='M7 11h1m-1 1h1'/%3E%3Cpath stroke='%235594ff' d='M8 11h1'/%3E%3Cpath stroke='%235298ff' d='M9 11h1'/%3E%3Cpath stroke='%234d9cff' d='M10 11h1'/%3E%3Cpath stroke='%23479eff' d='M11 11h1'/%3E%3Cpath stroke='%23409fff' d='M12 11h1'/%3E%3Cpath stroke='%23379fff' d='M13 11h1'/%3E%3Cpath stroke='%23339dff' d='M14 11h1'/%3E%3Cpath stroke='%232f9bff' d='M15 11h1'/%3E%3Cpath stroke='%232e97ff' d='M16 11h1'/%3E%3Cpath stroke='%232e91fc' d='M17 11h1'/%3E%3Cpath stroke='%232a80f0' d='M18 11h1'/%3E%3Cpath stroke='%231b5dcb' d='M19 11h1'/%3E%3Cpath stroke='%233275ff' d='M1 12h1'/%3E%3Cpath stroke='%235991ff' d='M6 12h1'/%3E%3Cpath stroke='%235596ff' d='M8 12h1'/%3E%3Cpath stroke='%23529cff' d='M9 12h1'/%3E%3Cpath stroke='%234fa1ff' d='M10 12h1'/%3E%3Cpath stroke='%234aa6ff' d='M11 12h1'/%3E%3Cpath stroke='%2342a9ff' d='M12 12h1'/%3E%3Cpath stroke='%233aa9ff' d='M13 12h1'/%3E%3Cpath stroke='%2334a7ff' d='M14 12h1'/%3E%3Cpath stroke='%2330a5ff' d='M15 12h1'/%3E%3Cpath stroke='%232ca0ff' d='M16 12h1'/%3E%3Cpath stroke='%232a96fd' d='M17 12h1'/%3E%3Cpath stroke='%232581f1' d='M18 12h1'/%3E%3Cpath stroke='%23185dcc' d='M19 12h1'/%3E%3Cpath stroke='%232d72ff' d='M1 13h1m0 3h1'/%3E%3Cpath stroke='%2344afff' d='M12 13h1'/%3E%3Cpath stroke='%233eb1ff' d='M13 13h1'/%3E%3Cpath stroke='%2337afff' d='M14 13h1'/%3E%3Cpath stroke='%232fabff' d='M15 13h1'/%3E%3Cpath stroke='%2329a4ff' d='M16 13h1'/%3E%3Cpath stroke='%232599fd' d='M17 13h1'/%3E%3Cpath stroke='%231e80f2' d='M18 13h1'/%3E%3Cpath stroke='%23145bcd' d='M19 13h1'/%3E%3Cpath stroke='%23276eff' d='M1 14h1'/%3E%3Cpath stroke='%233d7dff' d='M2 14h1'/%3E%3Cpath stroke='%234985ff' d='M3 14h1'/%3E%3Cpath stroke='%2343b1ff' d='M12 14h1'/%3E%3Cpath stroke='%233eb4ff' d='M13 14h1'/%3E%3Cpath stroke='%2335b2ff' d='M14 14h1'/%3E%3Cpath stroke='%232caeff' d='M15 14h1'/%3E%3Cpath stroke='%2324a5ff' d='M16 14h1'/%3E%3Cpath stroke='%231f97fd' d='M17 14h1'/%3E%3Cpath stroke='%231980f3' d='M18 14h1'/%3E%3Cpath stroke='%23105ace' d='M19 14h1'/%3E%3Cpath stroke='%23216aff' d='M1 15h1'/%3E%3Cpath stroke='%233578ff' d='M2 15h1'/%3E%3Cpath stroke='%234885ff' d='M4 15h1'/%3E%3Cpath stroke='%2341afff' d='M12 15h1'/%3E%3Cpath stroke='%233bb2ff' d='M13 15h1'/%3E%3Cpath stroke='%2333b1ff' d='M14 15h1'/%3E%3Cpath stroke='%232aadff' d='M15 15h1'/%3E%3Cpath stroke='%2321a3ff' d='M16 15h1'/%3E%3Cpath stroke='%231a95fd' d='M17 15h1'/%3E%3Cpath stroke='%23137cf2' d='M18 15h1'/%3E%3Cpath stroke='%230c59cf' d='M19 15h1'/%3E%3Cpath stroke='%231c66ff' d='M1 16h1'/%3E%3Cpath stroke='%233879ff' d='M3 16h1'/%3E%3Cpath stroke='%233f7eff' d='M4 16h1'/%3E%3Cpath stroke='%234584ff' d='M6 16h1'/%3E%3Cpath stroke='%234587ff' d='M7 16h1'/%3E%3Cpath stroke='%23468eff' d='M8 16h1'/%3E%3Cpath stroke='%234696ff' d='M9 16h1'/%3E%3Cpath stroke='%23439cff' d='M10 16h1'/%3E%3Cpath stroke='%233fa3ff' d='M11 16h1'/%3E%3Cpath stroke='%233ba8ff' d='M12 16h1'/%3E%3Cpath stroke='%233af' d='M13 16h1'/%3E%3Cpath stroke='%232da9ff' d='M14 16h1'/%3E%3Cpath stroke='%2324a6ff' d='M15 16h1'/%3E%3Cpath stroke='%231d9eff' d='M16 16h1'/%3E%3Cpath stroke='%231690fd' d='M17 16h1'/%3E%3Cpath stroke='%231078f1' d='M18 16h1'/%3E%3Cpath stroke='%230b57ce' d='M19 16h1'/%3E%3Cpath stroke='%231761f9' d='M1 17h1'/%3E%3Cpath stroke='%23246bfa' d='M2 17h1'/%3E%3Cpath stroke='%232f72fb' d='M3 17h1'/%3E%3Cpath stroke='%233676fb' d='M4 17h1'/%3E%3Cpath stroke='%233a7afb' d='M5 17h1'/%3E%3Cpath stroke='%233b7bfc' d='M6 17h1'/%3E%3Cpath stroke='%233b7efc' d='M7 17h1'/%3E%3Cpath stroke='%233c84fc' d='M8 17h1'/%3E%3Cpath stroke='%233b8afc' d='M9 17h1'/%3E%3Cpath stroke='%233990fc' d='M10 17h1'/%3E%3Cpath stroke='%233695fc' d='M11 17h1'/%3E%3Cpath stroke='%233299fc' d='M12 17h1'/%3E%3Cpath stroke='%232c9cfd' d='M13 17h1'/%3E%3Cpath stroke='%23259bfd' d='M14 17h1'/%3E%3Cpath stroke='%231e97fd' d='M15 17h1'/%3E%3Cpath stroke='%231790fc' d='M16 17h1'/%3E%3Cpath stroke='%231184fa' d='M17 17h1'/%3E%3Cpath stroke='%230c6ded' d='M18 17h1'/%3E%3Cpath stroke='%230850c8' d='M19 17h1'/%3E%3Cpath stroke='%232f6ae4' d='M1 18h1'/%3E%3Cpath stroke='%231b5fe9' d='M2 18h1'/%3E%3Cpath stroke='%232163e8' d='M3 18h1'/%3E%3Cpath stroke='%232868eb' d='M4 18h1'/%3E%3Cpath stroke='%232c6aea' d='M5 18h1'/%3E%3Cpath stroke='%232e6dea' d='M6 18h1'/%3E%3Cpath stroke='%232d6deb' d='M7 18h1'/%3E%3Cpath stroke='%232c71ec' d='M8 18h1'/%3E%3Cpath stroke='%232c76ec' d='M9 18h1'/%3E%3Cpath stroke='%232a79ed' d='M10 18h1'/%3E%3Cpath stroke='%23287eef' d='M11 18h1'/%3E%3Cpath stroke='%232481f1' d='M12 18h1'/%3E%3Cpath stroke='%232182f1' d='M13 18h1'/%3E%3Cpath stroke='%231c80f1' d='M14 18h1'/%3E%3Cpath stroke='%231880f3' d='M15 18h1'/%3E%3Cpath stroke='%23117af2' d='M16 18h1'/%3E%3Cpath stroke='%230c6eed' d='M17 18h1'/%3E%3Cpath stroke='%230a5ddd' d='M18 18h1'/%3E%3Cpath stroke='%23265dc1' d='M19 18h1'/%3E%3Cpath stroke='%2393b4f2' d='M0 19h1m19 0h1'/%3E%3Cpath stroke='%23d1ddf4' d='M1 19h1'/%3E%3Cpath stroke='%232e61ca' d='M2 19h1'/%3E%3Cpath stroke='%23134bbf' d='M3 19h1'/%3E%3Cpath stroke='%23164fc2' d='M4 19h1'/%3E%3Cpath stroke='%231950c1' d='M5 19h1'/%3E%3Cpath stroke='%231b52c1' d='M6 19h1'/%3E%3Cpath stroke='%231a52c3' d='M7 19h1'/%3E%3Cpath stroke='%231954c6' d='M8 19h1'/%3E%3Cpath stroke='%231b58c9' d='M9 19h1'/%3E%3Cpath stroke='%231858c8' d='M10 19h1'/%3E%3Cpath stroke='%23165bcd' d='M11 19h1'/%3E%3Cpath stroke='%23145cd0' d='M12 19h1'/%3E%3Cpath stroke='%23135cd0' d='M13 19h1'/%3E%3Cpath stroke='%230f58cc' d='M14 19h1'/%3E%3Cpath stroke='%230d5ad2' d='M15 19h1'/%3E%3Cpath stroke='%230b58d1' d='M16 19h1'/%3E%3Cpath stroke='%230951cb' d='M17 19h1'/%3E%3Cpath stroke='%23265ec3' d='M18 19h1'/%3E%3Cpath stroke='%23d0daee' d='M19 19h1'/%3E%3Cpath stroke='%2393b3f2' d='M1 20h1m17 0h1'/%3E%3Cpath stroke='%23fefefe' d='M14 20h1'/%3E%3Cpath stroke='%23fdfdfd' d='M15 20h1m1 0h1'/%3E%3Cpath stroke='%23fcfcfc' d='M16 20h1'/%3E%3Cpath stroke='%23f2f5fc' d='M18 20h1'/%3E%3C/svg%3E")
			}
			
			.title-bar-controls button[aria-label=Minimize]: not(: disabled): active{
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 21 21' shape-rendering='crispEdges'%3E%3Cpath stroke='%2393b1ed' d='M1 0h1m17 0h1'/%3E%3Cpath stroke='%23f4f6fd' d='M2 0h1m15 0h1M0 2h1m19 0h1M0 18h1m19 0h1M2 20h1m15 0h1'/%3E%3Cpath stroke='%23fff' d='M3 0h15M0 3h1m19 0h1M0 4h1m19 0h1M0 5h1m19 0h1M0 6h1m19 0h1M0 7h1m19 0h1M0 8h1m19 0h1M0 9h1m19 0h1M0 10h1m19 0h1M0 11h1m19 0h1M0 12h1m19 0h1M0 13h1m19 0h1M0 14h1m19 0h1M0 15h1m19 0h1M0 16h1m19 0h1M0 17h1m19 0h1M3 20h15'/%3E%3Cpath stroke='%23a7bcee' d='M0 1h1m19 0h1'/%3E%3Cpath stroke='%23cfd3da' d='M1 1h1'/%3E%3Cpath stroke='%231f3b5f' d='M2 1h1M1 2h1'/%3E%3Cpath stroke='%23002453' d='M3 1h1M1 4h1'/%3E%3Cpath stroke='%23002557' d='M4 1h1'/%3E%3Cpath stroke='%23002658' d='M5 1h1'/%3E%3Cpath stroke='%2300285c' d='M6 1h1'/%3E%3Cpath stroke='%23002a61' d='M7 1h1'/%3E%3Cpath stroke='%23002d67' d='M8 1h1'/%3E%3Cpath stroke='%23002f6b' d='M9 1h1'/%3E%3Cpath stroke='%23002f6c' d='M10 1h1M1 10h1'/%3E%3Cpath stroke='%23003273' d='M11 1h1'/%3E%3Cpath stroke='%23003478' d='M12 1h1M5 2h1'/%3E%3Cpath stroke='%2300357b' d='M13 1h1M2 5h1m-2 8h1'/%3E%3Cpath stroke='%2300377f' d='M14 1h1M6 2h1'/%3E%3Cpath stroke='%23003780' d='M15 1h1'/%3E%3Cpath stroke='%23003984' d='M16 1h1'/%3E%3Cpath stroke='%23003882' d='M17 1h1M3 3h1'/%3E%3Cpath stroke='%231f5295' d='M18 1h1'/%3E%3Cpath stroke='%23cfdae9' d='M19 1h1'/%3E%3Cpath stroke='%23002a62' d='M2 2h1'/%3E%3Cpath stroke='%23003070' d='M3 2h1'/%3E%3Cpath stroke='%23003275' d='M4 2h1'/%3E%3Cpath stroke='%23003883' d='M7 2h1M1 17h1'/%3E%3Cpath stroke='%23003a88' d='M8 2h1'/%3E%3Cpath stroke='%23003d8f' d='M9 2h1M2 9h1'/%3E%3Cpath stroke='%23003e90' d='M10 2h1'/%3E%3Cpath stroke='%23004094' d='M11 2h1'/%3E%3Cpath stroke='%23004299' d='M12 2h1M2 12h1'/%3E%3Cpath stroke='%2300439b' d='M13 2h1'/%3E%3Cpath stroke='%2300449e' d='M14 2h1M2 14h1'/%3E%3Cpath stroke='%2300459f' d='M15 2h1'/%3E%3Cpath stroke='%230045a1' d='M16 2h1m1 0h1M2 17h1'/%3E%3Cpath stroke='%230045a0' d='M17 2h1M2 15h1'/%3E%3Cpath stroke='%231f5aa8' d='M19 2h1'/%3E%3Cpath stroke='%23002452' d='M1 3h1'/%3E%3Cpath stroke='%23003170' d='M2 3h1'/%3E%3Cpath stroke='%23003b8b' d='M4 3h1M3 4h1'/%3E%3Cpath stroke='%23003c8f' d='M5 3h1'/%3E%3Cpath stroke='%23003e94' d='M6 3h1'/%3E%3Cpath stroke='%23004099' d='M7 3h1'/%3E%3Cpath stroke='%2300429d' d='M8 3h1'/%3E%3Cpath stroke='%230044a2' d='M9 3h1'/%3E%3Cpath stroke='%230046a5' d='M10 3h1'/%3E%3Cpath stroke='%230048a8' d='M11 3h1'/%3E%3Cpath stroke='%230049ab' d='M12 3h1m-3 2h1'/%3E%3Cpath stroke='%23004aac' d='M13 3h1'/%3E%3Cpath stroke='%23004aad' d='M14 3h1'/%3E%3Cpath stroke='%23004bae' d='M15 3h2m1 0h1M3 14h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23004baf' d='M17 3h1m-5 2h1m-7 5h1m-5 7h1m-1 1h1'/%3E%3Cpath stroke='%23004bad' d='M19 3h1M3 13h1m-1 6h1'/%3E%3Cpath stroke='%23037' d='M2 4h1m-2 8h1'/%3E%3Cpath stroke='%23003d92' d='M4 4h1'/%3E%3Cpath stroke='%23003f97' d='M5 4h1M4 5h1'/%3E%3Cpath stroke='%2300419d' d='M6 4h1M4 6h1'/%3E%3Cpath stroke='%230043a1' d='M7 4h1'/%3E%3Cpath stroke='%230045a4' d='M8 4h1'/%3E%3Cpath stroke='%230047a8' d='M9 4h1M4 9h1'/%3E%3Cpath stroke='%230048ab' d='M10 4h1m-7 6h1'/%3E%3Cpath stroke='%230049ad' d='M11 4h1m-2 2h1m-6 5h1'/%3E%3Cpath stroke='%23004aae' d='M12 4h1m-1 1h1m-2 1h1m-6 5h1m-3 1h2'/%3E%3Cpath stroke='%23004cb0' d='M13 4h1m0 1h1m-8 6h1m-4 2h1'/%3E%3Cpath stroke='%23004db1' d='M14 4h3m-2 1h2m-4 1h4M7 12h1m-4 2h1m-1 1h1m-1 1h2'/%3E%3Cpath stroke='%23004db2' d='M17 4h3m-3 1h3m-2 1h2m-8 1h1m6 0h1m-9 1h1m-4 3h1m-5 6h2m-2 1h4m-4 1h4'/%3E%3Cpath stroke='%23002555' d='M1 5h1'/%3E%3Cpath stroke='%23003d90' d='M3 5h1'/%3E%3Cpath stroke='%2300409c' d='M5 5h1'/%3E%3Cpath stroke='%230042a1' d='M6 5h1M5 6h1'/%3E%3Cpath stroke='%230044a5' d='M7 5h1M6 6h1'/%3E%3Cpath stroke='%230046a8' d='M8 5h1M5 8h1'/%3E%3Cpath stroke='%230047aa' d='M9 5h1'/%3E%3Cpath stroke='%230049ac' d='M11 5h1m-7 5h1m-2 1h1m-2 1h1'/%3E%3Cpath stroke='%2300275a' d='M1 6h1'/%3E%3Cpath stroke='%23003781' d='M2 6h1m-2 9h1'/%3E%3Cpath stroke='%23003f95' d='M3 6h1'/%3E%3Cpath stroke='%230045a9' d='M7 6h1'/%3E%3Cpath stroke='%230046aa' d='M8 6h1M6 7h1'/%3E%3Cpath stroke='%230047ac' d='M9 6h1M7 7h1'/%3E%3Cpath stroke='%23004bb0' d='M12 6h1M8 9h1m-3 3h1'/%3E%3Cpath stroke='%23004eb3' d='M17 6h1m-5 1h1m4 0h1m0 1h1M10 9h1m-2 1h1m-3 6h1m-2 1h2m0 2h1'/%3E%3Cpath stroke='%2300295f' d='M1 7h1'/%3E%3Cpath stroke='%23003985' d='M2 7h1'/%3E%3Cpath stroke='%2300419b' d='M3 7h1'/%3E%3Cpath stroke='%230043a2' d='M4 7h1'/%3E%3Cpath stroke='%230044a6' d='M5 7h1'/%3E%3Cpath stroke='%230048ad' d='M8 7h1M6 9h1'/%3E%3Cpath stroke='%230049ae' d='M9 7h1M7 8h2m-3 2h1'/%3E%3Cpath stroke='%23004aaf' d='M10 7h1M9 8h1M7 9h1'/%3E%3Cpath stroke='%23004cb1' d='M11 7h1m-2 1h1M9 9h1m-2 1h1'/%3E%3Cpath stroke='%23004fb3' d='M14 7h1'/%3E%3Cpath stroke='%23004fb4' d='M15 7h3m-6 1h1m5 0h1m0 1h1M8 12h1m-1 6h1m0 1h1'/%3E%3Cpath stroke='%23002b63' d='M1 8h1'/%3E%3Cpath stroke='%23003b8a' d='M2 8h1'/%3E%3Cpath stroke='%2300439f' d='M3 8h1'/%3E%3Cpath stroke='%230045a5' d='M4 8h1'/%3E%3Cpath stroke='%230047ab' d='M6 8h1M5 9h1'/%3E%3Cpath stroke='%230050b5' d='M13 8h2m1 0h2m-7 1h1m-2 1h1m8 0h1M9 11h1m-2 5h1m-1 1h1m1 2h1'/%3E%3Cpath stroke='%230051b6' d='M15 8h1m2 1h1m0 2h1m-1 1h1m-1 5h1M9 18h1m1 1h1'/%3E%3Cpath stroke='%23002d68' d='M1 9h1'/%3E%3Cpath stroke='%230045a3' d='M3 9h1'/%3E%3Cpath stroke='%230052b7' d='M12 9h1m-2 1h1m-2 1h1m-2 1h1m9 1h1m-8 6h2m3 0h1'/%3E%3Cpath stroke='%230053b8' d='M13 9h1m2 0h2m0 1h1m0 4h1M9 16h1m9 0h1M9 17h1m0 1h1m3 1h1m1 0h1'/%3E%3Cpath stroke='%230054b9' d='M14 9h2m2 9h1m-4 1h1'/%3E%3Cpath stroke='%23003f93' d='M2 10h1'/%3E%3Cpath stroke='%230047a7' d='M3 10h1'/%3E%3Cpath stroke='%230055ba' d='M12 10h1m4 0h1m-7 1h1m6 0h1m-9 6h1m0 1h1'/%3E%3Cpath stroke='%230056bb' d='M13 10h1m2 0h1m1 2h1m-9 4h1'/%3E%3Cpath stroke='%230057bc' d='M14 10h2m-5 2h1m6 5h1m-7 1h1m4 0h1'/%3E%3Cpath stroke='%23003172' d='M1 11h1'/%3E%3Cpath stroke='%23004095' d='M2 11h1'/%3E%3Cpath stroke='%230048aa' d='M3 11h1'/%3E%3Cpath stroke='%230058bd' d='M12 11h1m4 0h1m0 2h1m-6 5h1'/%3E%3Cpath stroke='%230059be' d='M13 11h1m2 0h1m-6 5h1m6 0h1m-5 2h1m1 0h1'/%3E%3Cpath stroke='%23005abf' d='M14 11h2m-4 1h1m4 0h1m-6 5h1m2 1h1'/%3E%3Cpath stroke='%230055b9' d='M10 12h1'/%3E%3Cpath stroke='%23005cc1' d='M13 12h1m2 0h1m-5 1h1m4 0h1m-5 4h1'/%3E%3Cpath stroke='%23005dc2' d='M14 12h1m-3 2h1m4 0h1m-6 1h1m4 1h1m-4 1h1m1 0h1'/%3E%3Cpath stroke='%23005ec3' d='M15 12h1m-3 1h1m2 0h1m0 2h1m-5 1h1m1 1h1'/%3E%3Cpath stroke='%2300449d' d='M2 13h1'/%3E%3Cpath stroke='%2378a2d8' d='M5 13h7m-7 1h7m-7 1h7'/%3E%3Cpath stroke='%23005fc4' d='M14 13h1m-2 1h1m2 0h1m-4 1h1'/%3E%3Cpath stroke='%230060c5' d='M15 13h1m-2 1h1m1 1h1m-2 1h1'/%3E%3Cpath stroke='%2300367e' d='M1 14h1'/%3E%3Cpath stroke='%230061c6' d='M15 14h1m-2 1h1'/%3E%3Cpath stroke='%230059bd' d='M18 14h1'/%3E%3Cpath stroke='%230062c6' d='M15 15h1'/%3E%3Cpath stroke='%23005abe' d='M18 15h1'/%3E%3Cpath stroke='%230054b8' d='M19 15h1'/%3E%3Cpath stroke='%23003881' d='M1 16h1'/%3E%3Cpath stroke='%230046a1' d='M2 16h1'/%3E%3Cpath stroke='%23004eb2' d='M6 16h1'/%3E%3Cpath stroke='%23005cc0' d='M12 16h1'/%3E%3Cpath stroke='%23005fc3' d='M14 16h1'/%3E%3Cpath stroke='%230060c4' d='M16 16h1'/%3E%3Cpath stroke='%230058bc' d='M11 17h1'/%3E%3Cpath stroke='%23005bc0' d='M17 17h1'/%3E%3Cpath stroke='%231f5294' d='M1 18h1'/%3E%3Cpath stroke='%230046a2' d='M2 18h1'/%3E%3Cpath stroke='%231f66be' d='M19 18h1'/%3E%3Cpath stroke='%23a7bef0' d='M0 19h1m0 1h1m17 0h1'/%3E%3Cpath stroke='%23cfdae8' d='M1 19h1'/%3E%3Cpath stroke='%231f5ba9' d='M2 19h1'/%3E%3Cpath stroke='%231f66bf' d='M18 19h1'/%3E%3Cpath stroke='%23cfdef1' d='M19 19h1'/%3E%3Cpath stroke='%2393b4f2' d='M20 19h1'/%3E%3C/svg%3E")
			}
			
			.title-bar-controls button[aria-label=Maximize]{
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 21 21' shape-rendering='crispEdges'%3E%3Cpath stroke='%236696eb' d='M1 0h1'/%3E%3Cpath stroke='%23e5edfb' d='M2 0h1'/%3E%3Cpath stroke='%23fff' d='M3 0h16M0 2h1M0 3h1m19 0h1M0 4h1m19 0h1M0 5h1m4 0h11m4 0h1M0 6h1m4 0h11m4 0h1M0 7h1m4 0h11m4 0h1M0 8h1m4 0h1m9 0h1m4 0h1M0 9h1m4 0h1m9 0h1m4 0h1M0 10h1m4 0h1m9 0h1m4 0h1M0 11h1m4 0h1m9 0h1m4 0h1M0 12h1m4 0h1m9 0h1m4 0h1M0 13h1m4 0h1m9 0h1m4 0h1M0 14h1m4 0h1m9 0h1m4 0h1M0 15h1m4 0h11m4 0h1M0 16h1m19 0h1M0 17h1m19 0h1m-1 1h1M2 20h16'/%3E%3Cpath stroke='%236694eb' d='M19 0h1'/%3E%3Cpath stroke='%236693e9' d='M0 1h1m19 0h1'/%3E%3Cpath stroke='%23dce5fd' d='M1 1h1'/%3E%3Cpath stroke='%23739af8' d='M2 1h1'/%3E%3Cpath stroke='%23608cf7' d='M3 1h1M2 8h1'/%3E%3Cpath stroke='%235584f6' d='M4 1h1'/%3E%3Cpath stroke='%234d7ef6' d='M5 1h1M1 6h1m5 4h1'/%3E%3Cpath stroke='%23487af5' d='M6 1h1'/%3E%3Cpath stroke='%234276f5' d='M7 1h1M3 14h1'/%3E%3Cpath stroke='%234478f5' d='M8 1h1m5 3h1M2 12h1'/%3E%3Cpath stroke='%233e73f5' d='M9 1h2'/%3E%3Cpath stroke='%233b71f5' d='M11 1h2'/%3E%3Cpath stroke='%23336cf4' d='M13 1h2'/%3E%3Cpath stroke='%23306af4' d='M15 1h1'/%3E%3Cpath stroke='%232864f4' d='M16 1h1'/%3E%3Cpath stroke='%231f5def' d='M17 1h1'/%3E%3Cpath stroke='%233467e0' d='M18 1h1'/%3E%3Cpath stroke='%23d2dbf2' d='M19 1h1'/%3E%3Cpath stroke='%23769cf8' d='M1 2h1'/%3E%3Cpath stroke='%2390aff9' d='M2 2h1'/%3E%3Cpath stroke='%2394b2f9' d='M3 2h1'/%3E%3Cpath stroke='%2385a7f8' d='M4 2h1'/%3E%3Cpath stroke='%23759cf8' d='M5 2h1'/%3E%3Cpath stroke='%236e97f8' d='M6 2h1M2 6h1'/%3E%3Cpath stroke='%236892f7' d='M7 2h1'/%3E%3Cpath stroke='%236690f7' d='M8 2h1'/%3E%3Cpath stroke='%23628ef7' d='M9 2h1m0 1h1'/%3E%3Cpath stroke='%235f8cf7' d='M10 2h1'/%3E%3Cpath stroke='%235e8bf7' d='M11 2h1'/%3E%3Cpath stroke='%235988f6' d='M12 2h1'/%3E%3Cpath stroke='%235685f6' d='M13 2h1'/%3E%3Cpath stroke='%235082f6' d='M14 2h1'/%3E%3Cpath stroke='%23497cf5' d='M15 2h1'/%3E%3Cpath stroke='%233f75f5' d='M16 2h1m-2 2h1'/%3E%3Cpath stroke='%23326bf2' d='M17 2h1'/%3E%3Cpath stroke='%23235ce3' d='M18 2h1'/%3E%3Cpath stroke='%23305cc5' d='M19 2h1'/%3E%3Cpath stroke='%23e5ecfb' d='M20 2h1'/%3E%3Cpath stroke='%236590f7' d='M1 3h1'/%3E%3Cpath stroke='%2397b4f9' d='M2 3h1'/%3E%3Cpath stroke='%239ab7fa' d='M3 3h1'/%3E%3Cpath stroke='%2389aaf9' d='M4 3h1M2 4h1'/%3E%3Cpath stroke='%237aa0f8' d='M5 3h1'/%3E%3Cpath stroke='%23729af8' d='M6 3h1'/%3E%3Cpath stroke='%236d95f8' d='M7 3h1'/%3E%3Cpath stroke='%236892f8' d='M8 3h1M2 7h1'/%3E%3Cpath stroke='%23658ff7' d='M9 3h1'/%3E%3Cpath stroke='%23618df7' d='M11 3h1'/%3E%3Cpath stroke='%235d8af7' d='M12 3h1M3 9h1'/%3E%3Cpath stroke='%235987f6' d='M13 3h1M2 9h1'/%3E%3Cpath stroke='%235283f6' d='M14 3h1'/%3E%3Cpath stroke='%234c7ef6' d='M15 3h1'/%3E%3Cpath stroke='%234377f5' d='M16 3h1'/%3E%3Cpath stroke='%23376ef2' d='M17 3h1'/%3E%3Cpath stroke='%23285fe3' d='M18 3h1'/%3E%3Cpath stroke='%231546b9' d='M19 3h1'/%3E%3Cpath stroke='%235886f6' d='M1 4h1'/%3E%3Cpath stroke='%238dadf9' d='M3 4h1'/%3E%3Cpath stroke='%237fa3f8' d='M4 4h1'/%3E%3Cpath stroke='%237199f8' d='M5 4h1M4 5h1'/%3E%3Cpath stroke='%236a93f8' d='M6 4h1M4 6h1M3 7h1'/%3E%3Cpath stroke='%23648ef7' d='M7 4h1'/%3E%3Cpath stroke='%235e8af7' d='M8 4h1'/%3E%3Cpath stroke='%235986f7' d='M9 4h1m-6 6h1'/%3E%3Cpath stroke='%235482f6' d='M10 4h1'/%3E%3Cpath stroke='%235180f6' d='M11 4h1'/%3E%3Cpath stroke='%234b7cf5' d='M12 4h1'/%3E%3Cpath stroke='%234a7cf5' d='M13 4h1'/%3E%3Cpath stroke='%233a72f4' d='M16 4h1'/%3E%3Cpath stroke='%23346cf2' d='M17 4h1'/%3E%3Cpath stroke='%232a61e3' d='M18 4h1'/%3E%3Cpath stroke='%231848bb' d='M19 4h1'/%3E%3Cpath stroke='%235282f6' d='M1 5h1m4 6h1m-3 1h1'/%3E%3Cpath stroke='%23799ff8' d='M2 5h1'/%3E%3Cpath stroke='%237ca1f8' d='M3 5h1'/%3E%3Cpath stroke='%23316bf4' d='M16 5h1M3 16h1'/%3E%3Cpath stroke='%233069f1' d='M17 5h1'/%3E%3Cpath stroke='%232c62e4' d='M18 5h1'/%3E%3Cpath stroke='%231d4cbc' d='M19 5h1m-1 1h1'/%3E%3Cpath stroke='%237099f8' d='M3 6h1'/%3E%3Cpath stroke='%232d69f5' d='M16 6h1'/%3E%3Cpath stroke='%232e69f2' d='M17 6h1'/%3E%3Cpath stroke='%232c63e5' d='M18 6h1'/%3E%3Cpath stroke='%234679f5' d='M1 7h1M1 8h1'/%3E%3Cpath stroke='%23658ff8' d='M4 7h1'/%3E%3Cpath stroke='%232a68f5' d='M16 7h1'/%3E%3Cpath stroke='%232c69f2' d='M17 7h1'/%3E%3Cpath stroke='%232a62e4' d='M18 7h1'/%3E%3Cpath stroke='%231c4cbd' d='M19 7h1'/%3E%3Cpath stroke='%23628df8' d='M3 8h1'/%3E%3Cpath stroke='%23608bf7' d='M4 8h1'/%3E%3Cpath stroke='%235482f7' d='M6 8h1'/%3E%3Cpath stroke='%234e7cf6' d='M7 8h1'/%3E%3Cpath stroke='%234778f6' d='M8 8h1'/%3E%3Cpath stroke='%234174f5' d='M9 8h1'/%3E%3Cpath stroke='%233a71f5' d='M10 8h1'/%3E%3Cpath stroke='%23346ef4' d='M11 8h1'/%3E%3Cpath stroke='%232d6bf5' d='M12 8h1'/%3E%3Cpath stroke='%232869f5' d='M13 8h1'/%3E%3Cpath stroke='%232467f5' d='M14 8h1'/%3E%3Cpath stroke='%232567f5' d='M16 8h1'/%3E%3Cpath stroke='%232968f2' d='M17 8h1'/%3E%3Cpath stroke='%232963e4' d='M18 8h1'/%3E%3Cpath stroke='%231b4bbd' d='M19 8h1'/%3E%3Cpath stroke='%233c72f4' d='M1 9h1'/%3E%3Cpath stroke='%235d89f7' d='M4 9h1'/%3E%3Cpath stroke='%235381f6' d='M6 9h1'/%3E%3Cpath stroke='%234e7ef6' d='M7 9h1'/%3E%3Cpath stroke='%23477af5' d='M8 9h1'/%3E%3Cpath stroke='%234178f5' d='M9 9h1'/%3E%3Cpath stroke='%233a74f5' d='M10 9h1'/%3E%3Cpath stroke='%233472f5' d='M11 9h1'/%3E%3Cpath stroke='%232c6ff5' d='M12 9h1'/%3E%3Cpath stroke='%23276cf5' d='M13 9h1'/%3E%3Cpath stroke='%23236af6' d='M14 9h1'/%3E%3Cpath stroke='%232268f5' d='M16 9h1'/%3E%3Cpath stroke='%232569f2' d='M17 9h1'/%3E%3Cpath stroke='%232562e6' d='M18 9h1'/%3E%3Cpath stroke='%23194bbe' d='M19 9h1'/%3E%3Cpath stroke='%23376ef4' d='M1 10h1'/%3E%3Cpath stroke='%235181f6' d='M2 10h1'/%3E%3Cpath stroke='%235785f7' d='M3 10h1'/%3E%3Cpath stroke='%235281f6' d='M6 10h1'/%3E%3Cpath stroke='%23477bf6' d='M8 10h1'/%3E%3Cpath stroke='%234179f6' d='M9 10h1'/%3E%3Cpath stroke='%233b77f5' d='M10 10h1'/%3E%3Cpath stroke='%233474f5' d='M11 10h1'/%3E%3Cpath stroke='%232c72f6' d='M12 10h1'/%3E%3Cpath stroke='%23266ff6' d='M13 10h1'/%3E%3Cpath stroke='%23226df6' d='M14 10h1'/%3E%3Cpath stroke='%231f6af6' d='M16 10h1'/%3E%3Cpath stroke='%23216af3' d='M17 10h1'/%3E%3Cpath stroke='%232162e6' d='M18 10h1'/%3E%3Cpath stroke='%231649be' d='M19 10h1'/%3E%3Cpath stroke='%23326bf4' d='M1 11h1'/%3E%3Cpath stroke='%234b7df5' d='M2 11h1'/%3E%3Cpath stroke='%235483f6' d='M3 11h1'/%3E%3Cpath stroke='%235684f7' d='M4 11h1'/%3E%3Cpath stroke='%234d80f6' d='M7 11h1'/%3E%3Cpath stroke='%23487df6' d='M8 11h1'/%3E%3Cpath stroke='%23427cf6' d='M9 11h1'/%3E%3Cpath stroke='%233c7af6' d='M10 11h1'/%3E%3Cpath stroke='%233478f6' d='M11 11h1'/%3E%3Cpath stroke='%232d76f6' d='M12 11h1'/%3E%3Cpath stroke='%232673f7' d='M13 11h1'/%3E%3Cpath stroke='%232171f7' d='M14 11h1'/%3E%3Cpath stroke='%231c6df6' d='M16 11h1'/%3E%3Cpath stroke='%231c6af4' d='M17 11h1'/%3E%3Cpath stroke='%231c61e6' d='M18 11h1'/%3E%3Cpath stroke='%231248bf' d='M19 11h1'/%3E%3Cpath stroke='%232b66f4' d='M1 12h1'/%3E%3Cpath stroke='%234e7ff6' d='M3 12h1'/%3E%3Cpath stroke='%235182f6' d='M6 12h1'/%3E%3Cpath stroke='%234d81f7' d='M7 12h1'/%3E%3Cpath stroke='%23487ff6' d='M8 12h1'/%3E%3Cpath stroke='%23437ff6' d='M9 12h1'/%3E%3Cpath stroke='%233d7ef6' d='M10 12h1'/%3E%3Cpath stroke='%23357cf6' d='M11 12h1'/%3E%3Cpath stroke='%232d7af7' d='M12 12h1'/%3E%3Cpath stroke='%232677f7' d='M13 12h1'/%3E%3Cpath stroke='%232174f7' d='M14 12h1'/%3E%3Cpath stroke='%23186ef7' d='M16 12h1'/%3E%3Cpath stroke='%23186af4' d='M17 12h1'/%3E%3Cpath stroke='%23165fe7' d='M18 12h1'/%3E%3Cpath stroke='%230f47c0' d='M19 12h1'/%3E%3Cpath stroke='%232562f3' d='M1 13h1'/%3E%3Cpath stroke='%233d73f4' d='M2 13h1'/%3E%3Cpath stroke='%23487bf5' d='M3 13h1'/%3E%3Cpath stroke='%234e80f6' d='M4 13h1'/%3E%3Cpath stroke='%234e81f6' d='M6 13h1'/%3E%3Cpath stroke='%234b80f6' d='M7 13h1'/%3E%3Cpath stroke='%23477ff6' d='M8 13h1'/%3E%3Cpath stroke='%23427ff6' d='M9 13h1'/%3E%3Cpath stroke='%233c7ff6' d='M10 13h1'/%3E%3Cpath stroke='%23367ff7' d='M11 13h1'/%3E%3Cpath stroke='%232d7cf7' d='M12 13h1'/%3E%3Cpath stroke='%232679f8' d='M13 13h1'/%3E%3Cpath stroke='%232077f7' d='M14 13h1'/%3E%3Cpath stroke='%23166ff7' d='M16 13h1'/%3E%3Cpath stroke='%231369f4' d='M17 13h1'/%3E%3Cpath stroke='%23105de8' d='M18 13h1'/%3E%3Cpath stroke='%230a44bf' d='M19 13h1'/%3E%3Cpath stroke='%231e5df3' d='M1 14h1'/%3E%3Cpath stroke='%23366ef4' d='M2 14h1'/%3E%3Cpath stroke='%23497bf5' d='M4 14h1'/%3E%3Cpath stroke='%234a7ef7' d='M6 14h1'/%3E%3Cpath stroke='%23487ef6' d='M7 14h1'/%3E%3Cpath stroke='%23457ff6' d='M8 14h1'/%3E%3Cpath stroke='%234180f6' d='M9 14h1'/%3E%3Cpath stroke='%233b7ff6' d='M10 14h1'/%3E%3Cpath stroke='%23357ff7' d='M11 14h1'/%3E%3Cpath stroke='%232d7df7' d='M12 14h1'/%3E%3Cpath stroke='%23257af8' d='M13 14h1'/%3E%3Cpath stroke='%231e77f8' d='M14 14h1'/%3E%3Cpath stroke='%23116df7' d='M16 14h1'/%3E%3Cpath stroke='%230d66f4' d='M17 14h1m-3 3h1'/%3E%3Cpath stroke='%230b59e7' d='M18 14h1'/%3E%3Cpath stroke='%230641c0' d='M19 14h1m-6 5h1'/%3E%3Cpath stroke='%231859f3' d='M1 15h1'/%3E%3Cpath stroke='%232e68f4' d='M2 15h1'/%3E%3Cpath stroke='%233a71f4' d='M3 15h1'/%3E%3Cpath stroke='%234277f5' d='M4 15h1'/%3E%3Cpath stroke='%230e6cf8' d='M16 15h1'/%3E%3Cpath stroke='%230963f4' d='M17 15h1'/%3E%3Cpath stroke='%230556e7' d='M18 15h1'/%3E%3Cpath stroke='%23023fbf' d='M19 15h1'/%3E%3Cpath stroke='%231456f3' d='M1 16h1'/%3E%3Cpath stroke='%232562f4' d='M2 16h1'/%3E%3Cpath stroke='%233971f4' d='M4 16h1'/%3E%3Cpath stroke='%233d74f5' d='M5 16h1'/%3E%3Cpath stroke='%233d74f6' d='M6 16h1'/%3E%3Cpath stroke='%233b75f5' d='M7 16h1'/%3E%3Cpath stroke='%233976f5' d='M8 16h1'/%3E%3Cpath stroke='%233777f5' d='M9 16h1'/%3E%3Cpath stroke='%233278f6' d='M10 16h1'/%3E%3Cpath stroke='%232c78f7' d='M11 16h1'/%3E%3Cpath stroke='%232577f7' d='M12 16h1'/%3E%3Cpath stroke='%231f76f7' d='M13 16h1'/%3E%3Cpath stroke='%231972f7' d='M14 16h1'/%3E%3Cpath stroke='%23116ef8' d='M15 16h1'/%3E%3Cpath stroke='%230b68f7' d='M16 16h1'/%3E%3Cpath stroke='%230560f4' d='M17 16h1'/%3E%3Cpath stroke='%230253e6' d='M18 16h1'/%3E%3Cpath stroke='%23013dbe' d='M19 16h1'/%3E%3Cpath stroke='%230e50ed' d='M1 17h1'/%3E%3Cpath stroke='%231c5bef' d='M2 17h1'/%3E%3Cpath stroke='%232863f0' d='M3 17h1'/%3E%3Cpath stroke='%232f68f0' d='M4 17h1'/%3E%3Cpath stroke='%23336bf1' d='M5 17h1'/%3E%3Cpath stroke='%23346cf1' d='M6 17h1'/%3E%3Cpath stroke='%23316cf2' d='M7 17h1'/%3E%3Cpath stroke='%23316df2' d='M8 17h1'/%3E%3Cpath stroke='%232e6ff2' d='M9 17h1'/%3E%3Cpath stroke='%232a70f2' d='M10 17h1'/%3E%3Cpath stroke='%232570f3' d='M11 17h1'/%3E%3Cpath stroke='%231f6ff3' d='M12 17h1'/%3E%3Cpath stroke='%23196df4' d='M13 17h1'/%3E%3Cpath stroke='%23136af4' d='M14 17h1'/%3E%3Cpath stroke='%230760f3' d='M16 17h1'/%3E%3Cpath stroke='%23025af0' d='M17 17h1'/%3E%3Cpath stroke='%23004de2' d='M18 17h1'/%3E%3Cpath stroke='%23003ab9' d='M19 17h1'/%3E%3Cpath stroke='%23e5eefd' d='M0 18h1'/%3E%3Cpath stroke='%23285edf' d='M1 18h1'/%3E%3Cpath stroke='%23134fdf' d='M2 18h1'/%3E%3Cpath stroke='%231b55df' d='M3 18h1'/%3E%3Cpath stroke='%23215ae2' d='M4 18h1'/%3E%3Cpath stroke='%23255ce1' d='M5 18h1'/%3E%3Cpath stroke='%23265de0' d='M6 18h1'/%3E%3Cpath stroke='%23245ce1' d='M7 18h1'/%3E%3Cpath stroke='%23235ee2' d='M8 18h1'/%3E%3Cpath stroke='%23215ee2' d='M9 18h1'/%3E%3Cpath stroke='%231e5ee2' d='M10 18h1'/%3E%3Cpath stroke='%231b5fe5' d='M11 18h1'/%3E%3Cpath stroke='%23165ee5' d='M12 18h1'/%3E%3Cpath stroke='%23135de6' d='M13 18h1'/%3E%3Cpath stroke='%230e5be5' d='M14 18h1'/%3E%3Cpath stroke='%230958e6' d='M15 18h1'/%3E%3Cpath stroke='%230454e6' d='M16 18h1'/%3E%3Cpath stroke='%23014ee2' d='M17 18h1'/%3E%3Cpath stroke='%230045d3' d='M18 18h1'/%3E%3Cpath stroke='%231f4eb8' d='M19 18h1'/%3E%3Cpath stroke='%23679ef6' d='M0 19h1'/%3E%3Cpath stroke='%23d0daf1' d='M1 19h1'/%3E%3Cpath stroke='%232856c3' d='M2 19h1'/%3E%3Cpath stroke='%230d3fb6' d='M3 19h1'/%3E%3Cpath stroke='%231144bd' d='M4 19h1'/%3E%3Cpath stroke='%231245bb' d='M5 19h1'/%3E%3Cpath stroke='%231445b9' d='M6 19h1'/%3E%3Cpath stroke='%231244b9' d='M7 19h1'/%3E%3Cpath stroke='%231345bc' d='M8 19h1'/%3E%3Cpath stroke='%231346bd' d='M9 19h1'/%3E%3Cpath stroke='%231045be' d='M10 19h1'/%3E%3Cpath stroke='%230d45c0' d='M11 19h1'/%3E%3Cpath stroke='%230a45c1' d='M12 19h1'/%3E%3Cpath stroke='%230844c3' d='M13 19h1'/%3E%3Cpath stroke='%23033fc0' d='M15 19h1'/%3E%3Cpath stroke='%23013fc3' d='M16 19h1'/%3E%3Cpath stroke='%23003bbe' d='M17 19h1'/%3E%3Cpath stroke='%231f4eb9' d='M18 19h1'/%3E%3Cpath stroke='%23cfd8ed' d='M19 19h1'/%3E%3Cpath stroke='%23669bf5' d='M20 19h1M1 20h1'/%3E%3Cpath stroke='%23e5edfd' d='M18 20h1'/%3E%3Cpath stroke='%236699f3' d='M19 20h1'/%3E%3C/svg%3E")
			}
			
			.title-bar-controls button[aria-label=Maximize]: hover{
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 21 21' shape-rendering='crispEdges'%3E%3Cpath stroke='%23afc2ef' d='M1 0h1m17 0h1M0 1h1m19 0h1M0 19h1m19 0h1M1 20h1m17 0h1'/%3E%3Cpath stroke='%23f4f6fd' d='M2 0h1m17 2h1M0 18h1m17 2h1'/%3E%3Cpath stroke='%23fff' d='M3 0h15M0 3h1m19 0h1M0 4h1m19 0h1M0 5h1m4 0h11m4 0h1M0 6h1m4 0h11m4 0h1M0 7h1m4 0h11m4 0h1M0 8h1m4 0h1m9 0h1m4 0h1M0 9h1m4 0h1m9 0h1m4 0h1M0 10h1m4 0h1m9 0h1m4 0h1M0 11h1m4 0h1m9 0h1m4 0h1M0 12h1m4 0h1m9 0h1m4 0h1M0 13h1m4 0h1m9 0h1m4 0h1M0 14h1m4 0h1m9 0h1m4 0h1M0 15h1m4 0h11m4 0h1M0 16h1m19 0h1M0 17h1m19 0h1M3 20h15'/%3E%3Cpath stroke='%23f5f7fd' d='M18 0h1M0 2h1m19 16h1M2 20h1'/%3E%3Cpath stroke='%23dce7ff' d='M1 1h1'/%3E%3Cpath stroke='%2372a1ff' d='M2 1h1m4 3h1'/%3E%3Cpath stroke='%236a9cff' d='M3 1h1'/%3E%3Cpath stroke='%235f94ff' d='M4 1h1M4 11h1'/%3E%3Cpath stroke='%23558eff' d='M5 1h1M3 12h1'/%3E%3Cpath stroke='%23518bff' d='M6 1h1'/%3E%3Cpath stroke='%234a86ff' d='M7 1h1'/%3E%3Cpath stroke='%234b87ff' d='M8 1h1M2 12h1'/%3E%3Cpath stroke='%234684ff' d='M9 1h2'/%3E%3Cpath stroke='%234482ff' d='M11 1h1m4 1h1M1 9h1m0 4h1'/%3E%3Cpath stroke='%234080ff' d='M12 1h1M3 15h1'/%3E%3Cpath stroke='%233b7cff' d='M13 1h1'/%3E%3Cpath stroke='%233a7bff' d='M14 1h1'/%3E%3Cpath stroke='%233678ff' d='M15 1h1'/%3E%3Cpath stroke='%232e73ff' d='M16 1h1'/%3E%3Cpath stroke='%23276cf9' d='M17 1h1'/%3E%3Cpath stroke='%233a73e7' d='M18 1h1'/%3E%3Cpath stroke='%23d3ddf3' d='M19 1h1'/%3E%3Cpath stroke='%2373a1ff' d='M1 2h1'/%3E%3Cpath stroke='%2397b9ff' d='M2 2h1'/%3E%3Cpath stroke='%239cbdff' d='M3 2h1'/%3E%3Cpath stroke='%2390b5ff' d='M4 2h1'/%3E%3Cpath stroke='%2382acff' d='M5 2h1M5 4h1'/%3E%3Cpath stroke='%237ba7ff' d='M6 2h1M2 6h1'/%3E%3Cpath stroke='%2375a3ff' d='M7 2h1'/%3E%3Cpath stroke='%236f9fff' d='M8 2h1M3 8h1'/%3E%3Cpath stroke='%236c9dff' d='M9 2h1M1 3h1'/%3E%3Cpath stroke='%23689bff' d='M10 2h1M3 9h1'/%3E%3Cpath stroke='%236599ff' d='M11 2h1m0 1h1'/%3E%3Cpath stroke='%236095ff' d='M12 2h1m0 1h1'/%3E%3Cpath stroke='%235d93ff' d='M13 2h1'/%3E%3Cpath stroke='%23568eff' d='M14 2h1'/%3E%3Cpath stroke='%234f8aff' d='M15 2h1M3 13h1m0 1h1'/%3E%3Cpath stroke='%233878fb' d='M17 2h1'/%3E%3Cpath stroke='%232969eb' d='M18 2h1'/%3E%3Cpath stroke='%233566cb' d='M19 2h1'/%3E%3Cpath stroke='%239ebeff' d='M2 3h1'/%3E%3Cpath stroke='%23a4c2ff' d='M3 3h1'/%3E%3Cpath stroke='%2399baff' d='M4 3h1M3 4h1'/%3E%3Cpath stroke='%238ab0ff' d='M5 3h1'/%3E%3Cpath stroke='%2382abff' d='M6 3h1'/%3E%3Cpath stroke='%2379a6ff' d='M7 3h1'/%3E%3Cpath stroke='%2374a3ff' d='M8 3h1'/%3E%3Cpath stroke='%2371a0ff' d='M9 3h1'/%3E%3Cpath stroke='%236d9eff' d='M10 3h1M4 8h1'/%3E%3Cpath stroke='%23699bff' d='M11 3h1'/%3E%3Cpath stroke='%235a91ff' d='M14 3h1M2 10h1m1 2h1'/%3E%3Cpath stroke='%23538cff' d='M15 3h1M2 11h1'/%3E%3Cpath stroke='%234986ff' d='M16 3h1'/%3E%3Cpath stroke='%233d7cfc' d='M17 3h1'/%3E%3Cpath stroke='%232e6cea' d='M18 3h1'/%3E%3Cpath stroke='%231b52c2' d='M19 3h1'/%3E%3Cpath stroke='%236296ff' d='M1 4h1'/%3E%3Cpath stroke='%2391b5ff' d='M2 4h1'/%3E%3Cpath stroke='%238fb4ff' d='M4 4h1'/%3E%3Cpath stroke='%237aa6ff' d='M6 4h1'/%3E%3Cpath stroke='%236b9dff' d='M8 4h1'/%3E%3Cpath stroke='%236598ff' d='M9 4h1'/%3E%3Cpath stroke='%235f95ff' d='M10 4h1m-5 6h1'/%3E%3Cpath stroke='%235b92ff' d='M11 4h1'/%3E%3Cpath stroke='%23548dff' d='M12 4h1M1 6h1m2 7h1'/%3E%3Cpath stroke='%23528cff' d='M13 4h1'/%3E%3Cpath stroke='%234c88ff' d='M14 4h1'/%3E%3Cpath stroke='%234785ff' d='M15 4h1'/%3E%3Cpath stroke='%234280ff' d='M16 4h1'/%3E%3Cpath stroke='%233b7afb' d='M17 4h1'/%3E%3Cpath stroke='%23316fec' d='M18 4h1'/%3E%3Cpath stroke='%231f55c3' d='M19 4h1'/%3E%3Cpath stroke='%235990ff' d='M1 5h1'/%3E%3Cpath stroke='%2385adff' d='M2 5h1'/%3E%3Cpath stroke='%238bb1ff' d='M3 5h1'/%3E%3Cpath stroke='%2384acff' d='M4 5h1'/%3E%3Cpath stroke='%23397aff' d='M16 5h1M1 11h1'/%3E%3Cpath stroke='%233979fc' d='M17 5h1'/%3E%3Cpath stroke='%233370ec' d='M18 5h1m-1 1h1'/%3E%3Cpath stroke='%232357c3' d='M19 5h1'/%3E%3Cpath stroke='%2381aaff' d='M3 6h1'/%3E%3Cpath stroke='%237aa7ff' d='M4 6h1'/%3E%3Cpath stroke='%233679ff' d='M16 6h1'/%3E%3Cpath stroke='%233879fc' d='M17 6h1'/%3E%3Cpath stroke='%232358c5' d='M19 6h1'/%3E%3Cpath stroke='%234e89ff' d='M1 7h1'/%3E%3Cpath stroke='%2371a1ff' d='M2 7h1'/%3E%3Cpath stroke='%2377a5ff' d='M3 7h1'/%3E%3Cpath stroke='%2374a2ff' d='M4 7h1'/%3E%3Cpath stroke='%23337aff' d='M16 7h1'/%3E%3Cpath stroke='%23367bfc' d='M17 7h1'/%3E%3Cpath stroke='%233372ed' d='M18 7h1'/%3E%3Cpath stroke='%232359c5' d='M19 7h1'/%3E%3Cpath stroke='%234d88ff' d='M1 8h1'/%3E%3Cpath stroke='%23699cff' d='M2 8h1'/%3E%3Cpath stroke='%236398ff' d='M6 8h1'/%3E%3Cpath stroke='%235c93ff' d='M7 8h1m-2 3h1'/%3E%3Cpath stroke='%23548fff' d='M8 8h1'/%3E%3Cpath stroke='%234d8cff' d='M9 8h1'/%3E%3Cpath stroke='%23468aff' d='M10 8h1'/%3E%3Cpath stroke='%233f86ff' d='M11 8h1'/%3E%3Cpath stroke='%233983ff' d='M12 8h1'/%3E%3Cpath stroke='%233380ff' d='M13 8h1'/%3E%3Cpath stroke='%232f7fff' d='M14 8h1'/%3E%3Cpath stroke='%233280ff' d='M16 8h1'/%3E%3Cpath stroke='%233580fc' d='M17 8h1'/%3E%3Cpath stroke='%233276ed' d='M18 8h1'/%3E%3Cpath stroke='%23235ac6' d='M19 8h1'/%3E%3Cpath stroke='%236196ff' d='M2 9h1m3 0h1m-4 1h1'/%3E%3Cpath stroke='%23689aff' d='M4 9h1'/%3E%3Cpath stroke='%235b93ff' d='M7 9h1'/%3E%3Cpath stroke='%235491ff' d='M8 9h1'/%3E%3Cpath stroke='%234f90ff' d='M9 9h1'/%3E%3Cpath stroke='%234890ff' d='M10 9h1'/%3E%3Cpath stroke='%23428eff' d='M11 9h1'/%3E%3Cpath stroke='%233b8dff' d='M12 9h1'/%3E%3Cpath stroke='%23348aff' d='M13 9h1'/%3E%3Cpath stroke='%233189ff' d='M14 9h1'/%3E%3Cpath stroke='%233188ff' d='M16 9h1'/%3E%3Cpath stroke='%233385fc' d='M17 9h1'/%3E%3Cpath stroke='%233079ed' d='M18 9h1'/%3E%3Cpath stroke='%23215cc8' d='M19 9h1'/%3E%3Cpath stroke='%233f7fff' d='M1 10h1'/%3E%3Cpath stroke='%236397ff' d='M4 10h1'/%3E%3Cpath stroke='%235993ff' d='M7 10h1'/%3E%3Cpath stroke='%235492ff' d='M8 10h1'/%3E%3Cpath stroke='%235093ff' d='M9 10h1'/%3E%3Cpath stroke='%234a95ff' d='M10 10h1'/%3E%3Cpath stroke='%234496ff' d='M11 10h1'/%3E%3Cpath stroke='%233d96ff' d='M12 10h1'/%3E%3Cpath stroke='%233694ff' d='M13 10h1'/%3E%3Cpath stroke='%233193ff' d='M14 10h1'/%3E%3Cpath stroke='%233090ff' d='M16 10h1'/%3E%3Cpath stroke='%23328cfc' d='M17 10h1'/%3E%3Cpath stroke='%232e7def' d='M18 10h1'/%3E%3Cpath stroke='%231e5dc9' d='M19 10h1'/%3E%3Cpath stroke='%235c92ff' d='M3 11h1'/%3E%3Cpath stroke='%235792ff' d='M7 11h1m-1 1h1'/%3E%3Cpath stroke='%235594ff' d='M8 11h1'/%3E%3Cpath stroke='%235298ff' d='M9 11h1'/%3E%3Cpath stroke='%234d9cff' d='M10 11h1'/%3E%3Cpath stroke='%23479eff' d='M11 11h1'/%3E%3Cpath stroke='%23409fff' d='M12 11h1'/%3E%3Cpath stroke='%23379fff' d='M13 11h1'/%3E%3Cpath stroke='%23339dff' d='M14 11h1'/%3E%3Cpath stroke='%232e97ff' d='M16 11h1'/%3E%3Cpath stroke='%232e91fc' d='M17 11h1'/%3E%3Cpath stroke='%232a80f0' d='M18 11h1'/%3E%3Cpath stroke='%231b5dcb' d='M19 11h1'/%3E%3Cpath stroke='%233275ff' d='M1 12h1'/%3E%3Cpath stroke='%235991ff' d='M6 12h1'/%3E%3Cpath stroke='%235596ff' d='M8 12h1'/%3E%3Cpath stroke='%23529cff' d='M9 12h1'/%3E%3Cpath stroke='%234fa1ff' d='M10 12h1'/%3E%3Cpath stroke='%234aa6ff' d='M11 12h1'/%3E%3Cpath stroke='%2342a9ff' d='M12 12h1'/%3E%3Cpath stroke='%233aa9ff' d='M13 12h1'/%3E%3Cpath stroke='%2334a7ff' d='M14 12h1'/%3E%3Cpath stroke='%232ca0ff' d='M16 12h1'/%3E%3Cpath stroke='%232a96fd' d='M17 12h1'/%3E%3Cpath stroke='%232581f1' d='M18 12h1'/%3E%3Cpath stroke='%23185dcc' d='M19 12h1'/%3E%3Cpath stroke='%232d72ff' d='M1 13h1m0 3h1'/%3E%3Cpath stroke='%235790ff' d='M6 13h1'/%3E%3Cpath stroke='%235490ff' d='M7 13h1'/%3E%3Cpath stroke='%235597ff' d='M8 13h1'/%3E%3Cpath stroke='%23539fff' d='M9 13h1'/%3E%3Cpath stroke='%234fa4ff' d='M10 13h1'/%3E%3Cpath stroke='%234aaaff' d='M11 13h1'/%3E%3Cpath stroke='%2344afff' d='M12 13h1'/%3E%3Cpath stroke='%233eb1ff' d='M13 13h1'/%3E%3Cpath stroke='%2337afff' d='M14 13h1'/%3E%3Cpath stroke='%2329a4ff' d='M16 13h1'/%3E%3Cpath stroke='%232599fd' d='M17 13h1'/%3E%3Cpath stroke='%231e80f2' d='M18 13h1'/%3E%3Cpath stroke='%23145bcd' d='M19 13h1'/%3E%3Cpath stroke='%23276eff' d='M1 14h1'/%3E%3Cpath stroke='%233d7dff' d='M2 14h1'/%3E%3Cpath stroke='%234985ff' d='M3 14h1'/%3E%3Cpath stroke='%23528dff' d='M6 14h1'/%3E%3Cpath stroke='%23518fff' d='M7 14h1'/%3E%3Cpath stroke='%235196ff' d='M8 14h1'/%3E%3Cpath stroke='%23509fff' d='M9 14h1'/%3E%3Cpath stroke='%234ea6ff' d='M10 14h1'/%3E%3Cpath stroke='%2349acff' d='M11 14h1'/%3E%3Cpath stroke='%2343b1ff' d='M12 14h1'/%3E%3Cpath stroke='%233eb4ff' d='M13 14h1'/%3E%3Cpath stroke='%2335b2ff' d='M14 14h1'/%3E%3Cpath stroke='%2324a5ff' d='M16 14h1'/%3E%3Cpath stroke='%231f97fd' d='M17 14h1'/%3E%3Cpath stroke='%231980f3' d='M18 14h1'/%3E%3Cpath stroke='%23105ace' d='M19 14h1'/%3E%3Cpath stroke='%23216aff' d='M1 15h1'/%3E%3Cpath stroke='%233578ff' d='M2 15h1'/%3E%3Cpath stroke='%234885ff' d='M4 15h1'/%3E%3Cpath stroke='%2321a3ff' d='M16 15h1'/%3E%3Cpath stroke='%231a95fd' d='M17 15h1'/%3E%3Cpath stroke='%23137cf2' d='M18 15h1'/%3E%3Cpath stroke='%230c59cf' d='M19 15h1'/%3E%3Cpath stroke='%231c66ff' d='M1 16h1'/%3E%3Cpath stroke='%233879ff' d='M3 16h1'/%3E%3Cpath stroke='%233f7eff' d='M4 16h1'/%3E%3Cpath stroke='%234483ff' d='M5 16h1'/%3E%3Cpath stroke='%234584ff' d='M6 16h1'/%3E%3Cpath stroke='%234587ff' d='M7 16h1'/%3E%3Cpath stroke='%23468eff' d='M8 16h1'/%3E%3Cpath stroke='%234696ff' d='M9 16h1'/%3E%3Cpath stroke='%23439cff' d='M10 16h1'/%3E%3Cpath stroke='%233fa3ff' d='M11 16h1'/%3E%3Cpath stroke='%233ba8ff' d='M12 16h1'/%3E%3Cpath stroke='%233af' d='M13 16h1'/%3E%3Cpath stroke='%232da9ff' d='M14 16h1'/%3E%3Cpath stroke='%2324a6ff' d='M15 16h1'/%3E%3Cpath stroke='%231d9eff' d='M16 16h1'/%3E%3Cpath stroke='%231690fd' d='M17 16h1'/%3E%3Cpath stroke='%231078f1' d='M18 16h1'/%3E%3Cpath stroke='%230b57ce' d='M19 16h1'/%3E%3Cpath stroke='%231761f9' d='M1 17h1'/%3E%3Cpath stroke='%23246bfa' d='M2 17h1'/%3E%3Cpath stroke='%232f72fb' d='M3 17h1'/%3E%3Cpath stroke='%233676fb' d='M4 17h1'/%3E%3Cpath stroke='%233a7afb' d='M5 17h1'/%3E%3Cpath stroke='%233b7bfc' d='M6 17h1'/%3E%3Cpath stroke='%233b7efc' d='M7 17h1'/%3E%3Cpath stroke='%233c84fc' d='M8 17h1'/%3E%3Cpath stroke='%233b8afc' d='M9 17h1'/%3E%3Cpath stroke='%233990fc' d='M10 17h1'/%3E%3Cpath stroke='%233695fc' d='M11 17h1'/%3E%3Cpath stroke='%233299fc' d='M12 17h1'/%3E%3Cpath stroke='%232c9cfd' d='M13 17h1'/%3E%3Cpath stroke='%23259bfd' d='M14 17h1'/%3E%3Cpath stroke='%231e97fd' d='M15 17h1'/%3E%3Cpath stroke='%231790fc' d='M16 17h1'/%3E%3Cpath stroke='%231184fa' d='M17 17h1'/%3E%3Cpath stroke='%230c6ded' d='M18 17h1'/%3E%3Cpath stroke='%230850c8' d='M19 17h1'/%3E%3Cpath stroke='%232f6ae4' d='M1 18h1'/%3E%3Cpath stroke='%231b5fe9' d='M2 18h1'/%3E%3Cpath stroke='%232163e8' d='M3 18h1'/%3E%3Cpath stroke='%232868eb' d='M4 18h1'/%3E%3Cpath stroke='%232c6aea' d='M5 18h1'/%3E%3Cpath stroke='%232e6dea' d='M6 18h1'/%3E%3Cpath stroke='%232d6deb' d='M7 18h1'/%3E%3Cpath stroke='%232c71ec' d='M8 18h1'/%3E%3Cpath stroke='%232c76ec' d='M9 18h1'/%3E%3Cpath stroke='%232a79ed' d='M10 18h1'/%3E%3Cpath stroke='%23287eef' d='M11 18h1'/%3E%3Cpath stroke='%232481f1' d='M12 18h1'/%3E%3Cpath stroke='%232182f1' d='M13 18h1'/%3E%3Cpath stroke='%231c80f1' d='M14 18h1'/%3E%3Cpath stroke='%231880f3' d='M15 18h1'/%3E%3Cpath stroke='%23117af2' d='M16 18h1'/%3E%3Cpath stroke='%230c6eed' d='M17 18h1'/%3E%3Cpath stroke='%230a5ddd' d='M18 18h1'/%3E%3Cpath stroke='%23265dc1' d='M19 18h1'/%3E%3Cpath stroke='%23d1ddf4' d='M1 19h1'/%3E%3Cpath stroke='%232e61ca' d='M2 19h1'/%3E%3Cpath stroke='%23134bbf' d='M3 19h1'/%3E%3Cpath stroke='%23164fc2' d='M4 19h1'/%3E%3Cpath stroke='%231950c1' d='M5 19h1'/%3E%3Cpath stroke='%231b52c1' d='M6 19h1'/%3E%3Cpath stroke='%231a52c3' d='M7 19h1'/%3E%3Cpath stroke='%231954c6' d='M8 19h1'/%3E%3Cpath stroke='%231b58c9' d='M9 19h1'/%3E%3Cpath stroke='%231858c8' d='M10 19h1'/%3E%3Cpath stroke='%23165bcd' d='M11 19h1'/%3E%3Cpath stroke='%23145cd0' d='M12 19h1'/%3E%3Cpath stroke='%23135cd0' d='M13 19h1'/%3E%3Cpath stroke='%230f58cc' d='M14 19h1'/%3E%3Cpath stroke='%230d5ad2' d='M15 19h1'/%3E%3Cpath stroke='%230b58d1' d='M16 19h1'/%3E%3Cpath stroke='%230951cb' d='M17 19h1'/%3E%3Cpath stroke='%23265ec3' d='M18 19h1'/%3E%3Cpath stroke='%23d0daee' d='M19 19h1'/%3E%3C/svg%3E")
			}
			
			.title-bar-controls button[aria-label=Maximize]: not(: disabled): active{
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 21 21' shape-rendering='crispEdges'%3E%3Cpath stroke='%23b3c4ef' d='M1 0h1m17 0h1M0 1h1m19 0h1M0 19h1m19 0h1M1 20h1'/%3E%3Cpath stroke='%23f4f6fd' d='M2 0h1m17 2h1M0 18h1m17 2h1'/%3E%3Cpath stroke='%23fff' d='M3 0h15M0 3h1m19 0h1M0 4h1m19 0h1M0 5h1m19 0h1M0 6h1m19 0h1M0 7h1m19 0h1M0 8h1m19 0h1M0 9h1m19 0h1M0 10h1m19 0h1M0 11h1m19 0h1M0 12h1m19 0h1M0 13h1m19 0h1M0 14h1m19 0h1M0 15h1m19 0h1M0 16h1m19 0h1M0 17h1m19 0h1M3 20h15'/%3E%3Cpath stroke='%23f5f7fd' d='M18 0h1M0 2h1m19 16h1M2 20h1'/%3E%3Cpath stroke='%23cfd3da' d='M1 1h1'/%3E%3Cpath stroke='%231f3b5f' d='M2 1h1M1 2h1'/%3E%3Cpath stroke='%23002453' d='M3 1h1M1 4h1'/%3E%3Cpath stroke='%23002557' d='M4 1h1'/%3E%3Cpath stroke='%23002658' d='M5 1h1'/%3E%3Cpath stroke='%2300285c' d='M6 1h1'/%3E%3Cpath stroke='%23002a61' d='M7 1h1'/%3E%3Cpath stroke='%23002d67' d='M8 1h1'/%3E%3Cpath stroke='%23002f6b' d='M9 1h1'/%3E%3Cpath stroke='%23002f6c' d='M10 1h1M1 10h1'/%3E%3Cpath stroke='%23003273' d='M11 1h1'/%3E%3Cpath stroke='%23003478' d='M12 1h1M5 2h1'/%3E%3Cpath stroke='%2300357b' d='M13 1h1M2 5h1m-2 8h1'/%3E%3Cpath stroke='%2300377f' d='M14 1h1M6 2h1'/%3E%3Cpath stroke='%23003780' d='M15 1h1'/%3E%3Cpath stroke='%23003984' d='M16 1h1'/%3E%3Cpath stroke='%23003882' d='M17 1h1M3 3h1'/%3E%3Cpath stroke='%231f5295' d='M18 1h1'/%3E%3Cpath stroke='%23cfdae9' d='M19 1h1'/%3E%3Cpath stroke='%23002a62' d='M2 2h1'/%3E%3Cpath stroke='%23003070' d='M3 2h1'/%3E%3Cpath stroke='%23003275' d='M4 2h1'/%3E%3Cpath stroke='%23003883' d='M7 2h1M1 17h1'/%3E%3Cpath stroke='%23003a88' d='M8 2h1'/%3E%3Cpath stroke='%23003d8f' d='M9 2h1M2 9h1'/%3E%3Cpath stroke='%23003e90' d='M10 2h1'/%3E%3Cpath stroke='%23004094' d='M11 2h1'/%3E%3Cpath stroke='%23004299' d='M12 2h1M2 12h1'/%3E%3Cpath stroke='%2300439b' d='M13 2h1'/%3E%3Cpath stroke='%2300449e' d='M14 2h1M2 14h1'/%3E%3Cpath stroke='%2300459f' d='M15 2h1'/%3E%3Cpath stroke='%230045a1' d='M16 2h1m1 0h1M2 17h1'/%3E%3Cpath stroke='%230045a0' d='M17 2h1M2 15h1'/%3E%3Cpath stroke='%231f5aa8' d='M19 2h1'/%3E%3Cpath stroke='%23002452' d='M1 3h1'/%3E%3Cpath stroke='%23003170' d='M2 3h1'/%3E%3Cpath stroke='%23003b8b' d='M4 3h1M3 4h1'/%3E%3Cpath stroke='%23003c8f' d='M5 3h1'/%3E%3Cpath stroke='%23003e94' d='M6 3h1'/%3E%3Cpath stroke='%23004099' d='M7 3h1'/%3E%3Cpath stroke='%2300429d' d='M8 3h1'/%3E%3Cpath stroke='%230044a2' d='M9 3h1'/%3E%3Cpath stroke='%230046a5' d='M10 3h1'/%3E%3Cpath stroke='%230048a8' d='M11 3h1'/%3E%3Cpath stroke='%230049ab' d='M12 3h1'/%3E%3Cpath stroke='%23004aac' d='M13 3h1'/%3E%3Cpath stroke='%23004aad' d='M14 3h1'/%3E%3Cpath stroke='%23004bae' d='M15 3h2m1 0h1M3 14h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23004baf' d='M17 3h1M7 10h1m-5 7h1m-1 1h1'/%3E%3Cpath stroke='%23004bad' d='M19 3h1M3 13h1m-1 6h1'/%3E%3Cpath stroke='%23037' d='M2 4h1m-2 8h1'/%3E%3Cpath stroke='%23003d92' d='M4 4h1'/%3E%3Cpath stroke='%23003f97' d='M5 4h1M4 5h1'/%3E%3Cpath stroke='%2300419d' d='M6 4h1M4 6h1'/%3E%3Cpath stroke='%230043a1' d='M7 4h1'/%3E%3Cpath stroke='%230045a4' d='M8 4h1'/%3E%3Cpath stroke='%230047a8' d='M9 4h1M4 9h1'/%3E%3Cpath stroke='%230048ab' d='M10 4h1m-7 6h1'/%3E%3Cpath stroke='%230049ad' d='M11 4h1'/%3E%3Cpath stroke='%23004aae' d='M12 4h1m-7 7h1m-3 1h1'/%3E%3Cpath stroke='%23004cb0' d='M13 4h1m-7 7h1m-4 2h1'/%3E%3Cpath stroke='%23004db1' d='M14 4h3m-1 1h1m-1 1h1M7 12h1m-2 1h1m-3 1h1m1 0h1m-3 1h1m-1 1h2'/%3E%3Cpath stroke='%23004db2' d='M17 4h3m-3 1h3m-2 1h2m-1 1h1m-9 1h1m-4 3h1m-5 6h2m-2 1h4m-4 1h4'/%3E%3Cpath stroke='%23002555' d='M1 5h1'/%3E%3Cpath stroke='%23003d90' d='M3 5h1'/%3E%3Cpath stroke='%2378a2d8' d='M5 5h11M5 6h11M5 7h11M5 8h1m9 0h1M5 9h1m9 0h1M5 10h1m9 0h1M5 11h1m9 0h1M5 12h1m9 0h1M5 13h1m9 0h1M5 14h1m9 0h1M5 15h11'/%3E%3Cpath stroke='%2300275a' d='M1 6h1'/%3E%3Cpath stroke='%23003781' d='M2 6h1m-2 9h1'/%3E%3Cpath stroke='%23003f95' d='M3 6h1'/%3E%3Cpath stroke='%23004eb3' d='M17 6h1m0 1h1m0 1h1M10 9h1m-2 1h1m-3 6h1m-2 1h2m0 2h1'/%3E%3Cpath stroke='%2300295f' d='M1 7h1'/%3E%3Cpath stroke='%23003985' d='M2 7h1'/%3E%3Cpath stroke='%2300419b' d='M3 7h1'/%3E%3Cpath stroke='%230043a2' d='M4 7h1'/%3E%3Cpath stroke='%23004fb4' d='M16 7h2m-6 1h1m5 0h1m0 1h1M8 12h1m-1 6h1m0 1h1'/%3E%3Cpath stroke='%23002b63' d='M1 8h1'/%3E%3Cpath stroke='%23003b8a' d='M2 8h1'/%3E%3Cpath stroke='%2300439f' d='M3 8h1'/%3E%3Cpath stroke='%230045a5' d='M4 8h1'/%3E%3Cpath stroke='%230047ab' d='M6 8h1'/%3E%3Cpath stroke='%230049ae' d='M7 8h2m-3 2h1'/%3E%3Cpath stroke='%23004aaf' d='M9 8h1M7 9h1'/%3E%3Cpath stroke='%23004cb1' d='M10 8h1M9 9h1m-2 1h1'/%3E%3Cpath stroke='%230050b5' d='M13 8h2m1 0h2m-7 1h1m-2 1h1m8 0h1M9 11h1m-2 2h1m-1 3h1m-1 1h1m1 2h1'/%3E%3Cpath stroke='%23002d68' d='M1 9h1'/%3E%3Cpath stroke='%230045a3' d='M3 9h1'/%3E%3Cpath stroke='%230048ad' d='M6 9h1'/%3E%3Cpath stroke='%23004bb0' d='M8 9h1m-3 3h1'/%3E%3Cpath stroke='%230052b7' d='M12 9h1m-2 1h1m-2 1h1m-2 1h1m9 1h1m-8 6h2m3 0h1'/%3E%3Cpath stroke='%230053b8' d='M13 9h1m2 0h2m0 1h1M9 13h1m9 1h1M9 16h1m9 0h1M9 17h1m0 1h1m3 1h1m1 0h1'/%3E%3Cpath stroke='%230054b9' d='M14 9h1m-6 5h1m8 4h1m-4 1h1'/%3E%3Cpath stroke='%230051b6' d='M18 9h1m0 2h1m-1 1h1M8 14h1m10 3h1M9 18h1m1 1h1'/%3E%3Cpath stroke='%23003f93' d='M2 10h1'/%3E%3Cpath stroke='%230047a7' d='M3 10h1'/%3E%3Cpath stroke='%230055ba' d='M12 10h1m4 0h1m-7 1h1m6 0h1m-9 6h1m0 1h1'/%3E%3Cpath stroke='%230056bb' d='M13 10h1m2 0h1m1 2h1m-9 1h1m-1 3h1'/%3E%3Cpath stroke='%230057bc' d='M14 10h1m-4 2h1m-2 2h1m7 3h1m-7 1h1m4 0h1'/%3E%3Cpath stroke='%23003172' d='M1 11h1'/%3E%3Cpath stroke='%23004095' d='M2 11h1'/%3E%3Cpath stroke='%230048aa' d='M3 11h1'/%3E%3Cpath stroke='%230049ac' d='M4 11h1m-2 1h1'/%3E%3Cpath stroke='%230058bd' d='M12 11h1m4 0h1m0 2h1m-6 5h1'/%3E%3Cpath stroke='%230059be' d='M13 11h1m2 0h1m-6 2h1m-1 3h1m6 0h1m-5 2h1m1 0h1'/%3E%3Cpath stroke='%23005abf' d='M14 11h1m-3 1h1m4 0h1m-7 2h1m0 3h1m2 1h1'/%3E%3Cpath stroke='%230055b9' d='M10 12h1'/%3E%3Cpath stroke='%23005cc1' d='M13 12h1m2 0h1m-5 1h1m4 0h1m-5 4h1'/%3E%3Cpath stroke='%23005dc2' d='M14 12h1m-3 2h1m4 0h1m-1 2h1m-4 1h1m1 0h1'/%3E%3Cpath stroke='%2300449d' d='M2 13h1'/%3E%3Cpath stroke='%23004eb2' d='M7 13h1m-2 3h1'/%3E%3Cpath stroke='%23005ec3' d='M13 13h1m2 0h1m0 2h1m-5 1h1m1 1h1'/%3E%3Cpath stroke='%23005fc4' d='M14 13h1m-2 1h1m2 0h1'/%3E%3Cpath stroke='%2300367e' d='M1 14h1'/%3E%3Cpath stroke='%23004fb3' d='M7 14h1'/%3E%3Cpath stroke='%230060c5' d='M14 14h1m1 1h1m-2 1h1'/%3E%3Cpath stroke='%230059bd' d='M18 14h1'/%3E%3Cpath stroke='%23005abe' d='M18 15h1'/%3E%3Cpath stroke='%230054b8' d='M19 15h1'/%3E%3Cpath stroke='%23003881' d='M1 16h1'/%3E%3Cpath stroke='%230046a1' d='M2 16h1'/%3E%3Cpath stroke='%23005cc0' d='M12 16h1'/%3E%3Cpath stroke='%23005fc3' d='M14 16h1'/%3E%3Cpath stroke='%230060c4' d='M16 16h1'/%3E%3Cpath stroke='%230058bc' d='M11 17h1'/%3E%3Cpath stroke='%23005bc0' d='M17 17h1'/%3E%3Cpath stroke='%231f5294' d='M1 18h1'/%3E%3Cpath stroke='%230046a2' d='M2 18h1'/%3E%3Cpath stroke='%231f66be' d='M19 18h1'/%3E%3Cpath stroke='%23cfdae8' d='M1 19h1'/%3E%3Cpath stroke='%231f5ba9' d='M2 19h1'/%3E%3Cpath stroke='%231f66bf' d='M18 19h1'/%3E%3Cpath stroke='%23cfdef1' d='M19 19h1'/%3E%3Cpath stroke='%23b2c3ee' d='M19 20h1'/%3E%3C/svg%3E")
			}
			
			.title-bar-controls button[aria-label=Restore]{
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 21 21' shape-rendering='crispEdges'%3E%3Cpath stroke='%236696eb' d='M1 0h1m17 0h1'/%3E%3Cpath stroke='%23e5edfb' d='M2 0h1'/%3E%3Cpath stroke='%23fff' d='M3 0h16M0 2h1M0 3h1m19 0h1M0 4h1m19 0h1M0 5h1m19 0h1M0 6h1m19 0h1M0 7h1m19 0h1M0 8h1m19 0h1M0 9h1m19 0h1M0 10h1m19 0h1M0 11h1m19 0h1M0 12h1m19 0h1M0 13h1m4 0h7m8 0h1M0 14h1m4 0h7m8 0h1M0 15h1m4 0h7m8 0h1M0 16h1m19 0h1M0 17h1m19 0h1m-1 1h1M2 20h16'/%3E%3Cpath stroke='%236693e9' d='M0 1h1m19 0h1'/%3E%3Cpath stroke='%23dce5fd' d='M1 1h1'/%3E%3Cpath stroke='%23739af8' d='M2 1h1'/%3E%3Cpath stroke='%23608cf7' d='M3 1h1M2 8h1'/%3E%3Cpath stroke='%235584f6' d='M4 1h1'/%3E%3Cpath stroke='%234d7ef6' d='M5 1h1M1 6h1m5 4h1'/%3E%3Cpath stroke='%23487af5' d='M6 1h1'/%3E%3Cpath stroke='%234276f5' d='M7 1h1M3 14h1'/%3E%3Cpath stroke='%234478f5' d='M8 1h1m5 3h1M2 12h1'/%3E%3Cpath stroke='%233e73f5' d='M9 1h2'/%3E%3Cpath stroke='%233b71f5' d='M11 1h2'/%3E%3Cpath stroke='%23336cf4' d='M13 1h2'/%3E%3Cpath stroke='%23306af4' d='M15 1h1'/%3E%3Cpath stroke='%232864f4' d='M16 1h1'/%3E%3Cpath stroke='%231f5def' d='M17 1h1'/%3E%3Cpath stroke='%233467e0' d='M18 1h1'/%3E%3Cpath stroke='%23d2dbf2' d='M19 1h1'/%3E%3Cpath stroke='%23769cf8' d='M1 2h1'/%3E%3Cpath stroke='%2390aff9' d='M2 2h1'/%3E%3Cpath stroke='%2394b2f9' d='M3 2h1'/%3E%3Cpath stroke='%2385a7f8' d='M4 2h1'/%3E%3Cpath stroke='%23759cf8' d='M5 2h1'/%3E%3Cpath stroke='%236e97f8' d='M6 2h1M2 6h1'/%3E%3Cpath stroke='%236892f7' d='M7 2h1'/%3E%3Cpath stroke='%236690f7' d='M8 2h1'/%3E%3Cpath stroke='%23628ef7' d='M9 2h1m0 1h1'/%3E%3Cpath stroke='%235f8cf7' d='M10 2h1'/%3E%3Cpath stroke='%235e8bf7' d='M11 2h1'/%3E%3Cpath stroke='%235988f6' d='M12 2h1'/%3E%3Cpath stroke='%235685f6' d='M13 2h1'/%3E%3Cpath stroke='%235082f6' d='M14 2h1'/%3E%3Cpath stroke='%23497cf5' d='M15 2h1'/%3E%3Cpath stroke='%233f75f5' d='M16 2h1m-2 2h1'/%3E%3Cpath stroke='%23326bf2' d='M17 2h1'/%3E%3Cpath stroke='%23235ce3' d='M18 2h1'/%3E%3Cpath stroke='%23305cc5' d='M19 2h1'/%3E%3Cpath stroke='%23e5ecfb' d='M20 2h1'/%3E%3Cpath stroke='%236590f7' d='M1 3h1'/%3E%3Cpath stroke='%2397b4f9' d='M2 3h1'/%3E%3Cpath stroke='%239ab7fa' d='M3 3h1'/%3E%3Cpath stroke='%2389aaf9' d='M4 3h1M2 4h1'/%3E%3Cpath stroke='%237aa0f8' d='M5 3h1'/%3E%3Cpath stroke='%23729af8' d='M6 3h1'/%3E%3Cpath stroke='%236d95f8' d='M7 3h1'/%3E%3Cpath stroke='%236892f8' d='M8 3h1M2 7h1'/%3E%3Cpath stroke='%23658ff7' d='M9 3h1'/%3E%3Cpath stroke='%23618df7' d='M11 3h1'/%3E%3Cpath stroke='%235d8af7' d='M12 3h1M3 9h1'/%3E%3Cpath stroke='%235987f6' d='M13 3h1M2 9h1'/%3E%3Cpath stroke='%235283f6' d='M14 3h1'/%3E%3Cpath stroke='%234c7ef6' d='M15 3h1'/%3E%3Cpath stroke='%234377f5' d='M16 3h1'/%3E%3Cpath stroke='%23376ef2' d='M17 3h1'/%3E%3Cpath stroke='%23285fe3' d='M18 3h1'/%3E%3Cpath stroke='%231546b9' d='M19 3h1'/%3E%3Cpath stroke='%235886f6' d='M1 4h1'/%3E%3Cpath stroke='%238dadf9' d='M3 4h1'/%3E%3Cpath stroke='%237fa3f8' d='M4 4h1'/%3E%3Cpath stroke='%237199f8' d='M5 4h1M4 5h1'/%3E%3Cpath stroke='%236a93f8' d='M6 4h1M4 6h1M3 7h1'/%3E%3Cpath stroke='%23648ef7' d='M7 4h1'/%3E%3Cpath stroke='%235e8af7' d='M8 4h1'/%3E%3Cpath stroke='%235986f7' d='M9 4h1M5 9h1m-2 1h1'/%3E%3Cpath stroke='%235482f6' d='M10 4h1'/%3E%3Cpath stroke='%235180f6' d='M11 4h1'/%3E%3Cpath stroke='%234b7cf5' d='M12 4h1'/%3E%3Cpath stroke='%234a7cf5' d='M13 4h1'/%3E%3Cpath stroke='%233a72f4' d='M16 4h1'/%3E%3Cpath stroke='%23346cf2' d='M17 4h1'/%3E%3Cpath stroke='%232a61e3' d='M18 4h1'/%3E%3Cpath stroke='%231848bb' d='M19 4h1'/%3E%3Cpath stroke='%235282f6' d='M1 5h1m4 6h1m-3 1h1'/%3E%3Cpath stroke='%23799ff8' d='M2 5h1'/%3E%3Cpath stroke='%237ca1f8' d='M3 5h1'/%3E%3Cpath stroke='%236791f8' d='M5 5h1'/%3E%3Cpath stroke='%23608bf7' d='M6 5h1M4 8h1'/%3E%3Cpath stroke='%23FFF' d='M7 5h1M8 5h1M6 9h1M9 5h1M8 6h1M10 5h1M11 5h1M12 5h1M13 5h1M14 5h1M15 5h1'/%3E%3Cpath stroke='%23316bf4' d='M16 5h1M3 16h1'/%3E%3Cpath stroke='%233069f1' d='M17 5h1'/%3E%3Cpath stroke='%232c62e4' d='M18 5h1'/%3E%3Cpath stroke='%231d4cbc' d='M19 5h1m-1 1h1'/%3E%3Cpath stroke='%237099f8' d='M3 6h1'/%3E%3Cpath stroke='%23628cf8' d='M5 6h1'/%3E%3Cpath stroke='%235b86f7' d='M6 6h1'/%3E%3Cpath stroke='%23FFF' d='M7 6h1M8 6h1M9 6h1M10 6h1M11 6h1M12 6h1M13 6h1M14 6h1M15 6h1'/%3E%3Cpath stroke='%232d69f5' d='M16 6h1'/%3E%3Cpath stroke='%232e69f2' d='M17 6h1'/%3E%3Cpath stroke='%232c63e5' d='M18 6h1'/%3E%3Cpath stroke='%234679f5' d='M1 7h1M1 8h1'/%3E%3Cpath stroke='%23658ff8' d='M4 7h1'/%3E%3Cpath stroke='%235e89f7' d='M5 7h1'/%3E%3Cpath stroke='%235783f7' d='M6 7h1'/%3E%3Cpath stroke='%23FFF' d='M7 7h1'/%3E%3Cpath stroke='%234375f5' d='M8 7h1M9 7h1'/%3E%3Cpath stroke='%233d71f5' d='M10 7h1'/%3E%3Cpath stroke='%23366ef4' d='M11 7h1M2 14h1'/%3E%3Cpath stroke='%232f6bf5' d='M12 7h1'/%3E%3Cpath stroke='%232b69f5' d='M13 7h1'/%3E%3Cpath stroke='%232867f5' d='M14 7h1'/%3E%3Cpath stroke='%23FFF' d='M15 7h1'/%3E%3Cpath stroke='%232a68f5' d='M16 7h1'/%3E%3Cpath stroke='%232c69f2' d='M17 7h1'/%3E%3Cpath stroke='%232a62e4' d='M18 7h1'/%3E%3Cpath stroke='%231c4cbd' d='M19 7h1'/%3E%3Cpath stroke='%23628df8' d='M3 8h1'/%3E%3Cpath stroke='%235b87f7' d='M5 8h1'/%3E%3Cpath stroke='%235482f7' d='M6 8h1'/%3E%3Cpath stroke='%23FFF' d='M7 8h1'/%3E%3Cpath stroke='%234174f5' d='M8 8h1M9 8h1'/%3E%3Cpath stroke='%233a71f5' d='M10 8h1'/%3E%3Cpath stroke='%23346ef4' d='M11 8h1'/%3E%3Cpath stroke='%232d6bf5' d='M12 8h1'/%3E%3Cpath stroke='%232869f5' d='M13 8h1'/%3E%3Cpath stroke='%232467f5' d='M14 8h1'/%3E%3Cpath stroke='%23FFF' d='M15 8h1'/%3E%3Cpath stroke='%232567f5' d='M16 8h1'/%3E%3Cpath stroke='%232968f2' d='M17 8h1'/%3E%3Cpath stroke='%232963e4' d='M18 8h1'/%3E%3Cpath stroke='%231b4bbd' d='M19 8h1'/%3E%3Cpath stroke='%233c72f4' d='M1 9h1'/%3E%3Cpath stroke='%235d89f7' d='M4 9h1'/%3E%3Cpath stroke='%23FFF' d='M5 9h1M6 9h1M7 9h1M8 9h1M9 9h1M10 9h1M11 9h1M12 9h1M13 9h1'/%3E%3Cpath stroke='%23236af6' d='M14 9h1'/%3E%3Cpath stroke='%23FFF' d='M15 9h1'/%3E%3Cpath stroke='%232268f5' d='M16 9h1'/%3E%3Cpath stroke='%232569f2' d='M17 9h1'/%3E%3Cpath stroke='%232562e6' d='M18 9h1'/%3E%3Cpath stroke='%23194bbe' d='M19 9h1'/%3E%3Cpath stroke='%23376ef4' d='M1 10h1'/%3E%3Cpath stroke='%235181f6' d='M2 10h1'/%3E%3Cpath stroke='%235785f7' d='M3 10h1M4 10h1'/%3E%3Cpath stroke='%23FFF' d='M5 10h1M6 10h1M7 10h1M8 10h1M9 10h1M10 10h1M11 10h1M12 10h1M13 10h1'/%3E%3Cpath stroke='%23226df6' d='M14 10h1'/%3E%3Cpath stroke='%23FFF' d='M15 10h1'/%3E%3Cpath stroke='%231f6af6' d='M16 10h1'/%3E%3Cpath stroke='%23216af3' d='M17 10h1'/%3E%3Cpath stroke='%232162e6' d='M18 10h1'/%3E%3Cpath stroke='%231649be' d='M19 10h1'/%3E%3Cpath stroke='%23326bf4' d='M1 11h1'/%3E%3Cpath stroke='%234b7df5' d='M2 11h1'/%3E%3Cpath stroke='%235483f6' d='M3 11h1'/%3E%3Cpath stroke='%235684f7' d='M4 11h1'/%3E%3Cpath stroke='%23FFF' d='M5 11h1'/%3E%3Cpath stroke='%234d80f6' d='M7 11h1'/%3E%3Cpath stroke='%23487df6' d='M8 11h1'/%3E%3Cpath stroke='%23427cf6' d='M9 11h1'/%3E%3Cpath stroke='%233c7af6' d='M10 11h1'/%3E%3Cpath stroke='%233478f6' d='M11 11h1'/%3E%3Cpath stroke='%232673f7' d='M12 11h1'/%3E%3Cpath stroke='%23FFF' d='M13 11h1M14 11h1M15 11h1'/%3E%3Cpath stroke='%231c6df6' d='M16 11h1'/%3E%3Cpath stroke='%231c6af4' d='M17 11h1'/%3E%3Cpath stroke='%231c61e6' d='M18 11h1'/%3E%3Cpath stroke='%231248bf' d='M19 11h1'/%3E%3Cpath stroke='%232b66f4' d='M1 12h1'/%3E%3Cpath stroke='%234e7ff6' d='M3 12h1'/%3E%3Cpath stroke='%23FFF' d='M5 12h1'/%3E%3Cpath stroke='%235182f6' d='M6 12h1'/%3E%3Cpath stroke='%234d81f7' d='M7 12h1'/%3E%3Cpath stroke='%23487ff6' d='M8 12h1'/%3E%3Cpath stroke='%23437ff6' d='M9 12h1'/%3E%3Cpath stroke='%233d7ef6' d='M10 12h1'/%3E%3Cpath stroke='%23357cf6' d='M11 12h1'/%3E%3Cpath stroke='%232677f7' d='M12 12h1'/%3E%3Cpath stroke='%23FFF' d='M13 12h1'/%3E%3Cpath stroke='%232174f7' d='M14 12h1'/%3E%3Cpath stroke='%231b71f7' d='M15 12h1'/%3E%3Cpath stroke='%23186ef7' d='M16 12h1'/%3E%3Cpath stroke='%23186af4' d='M17 12h1'/%3E%3Cpath stroke='%23165fe7' d='M18 12h1'/%3E%3Cpath stroke='%230f47c0' d='M19 12h1'/%3E%3Cpath stroke='%232562f3' d='M1 13h1'/%3E%3Cpath stroke='%233d73f4' d='M2 13h1'/%3E%3Cpath stroke='%23487bf5' d='M3 13h1'/%3E%3Cpath stroke='%234e80f6' d='M4 13h1M6 13h1M7 13h1'/%3E%3Cpath stroke='%23437ff6' d='M8 13h1'/%3E%3Cpath stroke='%232d7df7' d='M9 13h1'/%3E%3Cpath stroke='%232d7cf7' d='M10 13h1M11 13h1'/%3E%3Cpath stroke='%232679f8' d='M12 13h1'/%3E%3Cpath stroke='%23FFF' d='M13 13h1'/%3E%3Cpath stroke='%232077f7' d='M14 13h1'/%3E%3Cpath stroke='%231973f7' d='M15 13h1'/%3E%3Cpath stroke='%23166ff7' d='M16 13h1'/%3E%3Cpath stroke='%231369f4' d='M17 13h1'/%3E%3Cpath stroke='%23105de8' d='M18 13h1'/%3E%3Cpath stroke='%230a44bf' d='M19 13h1'/%3E%3Cpath stroke='%231e5df3' d='M1 14h1'/%3E%3Cpath stroke='%23497bf5' d='M4 14h1M6 14h1'/%3E%3Cpath stroke='%232d7df7' d='M7 14h1M8 14h1M9 14h1M10 14h1M11 14h1'/%3E%3Cpath stroke='%23257af8' d='M12 14h1'/%3E%3Cpath stroke='%23FFF' d='M13 14h1'/%3E%3Cpath stroke='%231e77f8' d='M14 14h1'/%3E%3Cpath stroke='%231773f8' d='M15 14h1'/%3E%3Cpath stroke='%23116df7' d='M16 14h1'/%3E%3Cpath stroke='%230d66f4' d='M17 14h1m-3 3h1'/%3E%3Cpath stroke='%230b59e7' d='M18 14h1'/%3E%3Cpath stroke='%230641c0' d='M19 14h1m-6 5h1'/%3E%3Cpath stroke='%231859f3' d='M1 15h1'/%3E%3Cpath stroke='%232e68f4' d='M2 15h1'/%3E%3Cpath stroke='%233a71f4' d='M3 15h1'/%3E%3Cpath stroke='%234277f5' d='M4 15h1'/%3E%3Cpath stroke='%23FFF' d='M11 15h1M12 15h1M13 15h1'/%3E%3Cpath stroke='%231d77f8' d='M14 15h1'/%3E%3Cpath stroke='%231573f8' d='M15 15h1'/%3E%3Cpath stroke='%230e6cf8' d='M16 15h1'/%3E%3Cpath stroke='%230963f4' d='M17 15h1'/%3E%3Cpath stroke='%230556e7' d='M18 15h1'/%3E%3Cpath stroke='%23023fbf' d='M19 15h1'/%3E%3Cpath stroke='%231456f3' d='M1 16h1'/%3E%3Cpath stroke='%232562f4' d='M2 16h1'/%3E%3Cpath stroke='%233971f4' d='M4 16h1'/%3E%3Cpath stroke='%233d74f5' d='M5 16h1'/%3E%3Cpath stroke='%233d74f6' d='M6 16h1'/%3E%3Cpath stroke='%233b75f5' d='M7 16h1'/%3E%3Cpath stroke='%233976f5' d='M8 16h1'/%3E%3Cpath stroke='%233777f5' d='M9 16h1'/%3E%3Cpath stroke='%233278f6' d='M10 16h1'/%3E%3Cpath stroke='%232c78f7' d='M11 16h1'/%3E%3Cpath stroke='%232577f7' d='M12 16h1'/%3E%3Cpath stroke='%231f76f7' d='M13 16h1'/%3E%3Cpath stroke='%231972f7' d='M14 16h1'/%3E%3Cpath stroke='%23116ef8' d='M15 16h1'/%3E%3Cpath stroke='%230b68f7' d='M16 16h1'/%3E%3Cpath stroke='%230560f4' d='M17 16h1'/%3E%3Cpath stroke='%230253e6' d='M18 16h1'/%3E%3Cpath stroke='%23013dbe' d='M19 16h1'/%3E%3Cpath stroke='%230e50ed' d='M1 17h1'/%3E%3Cpath stroke='%231c5bef' d='M2 17h1'/%3E%3Cpath stroke='%232863f0' d='M3 17h1'/%3E%3Cpath stroke='%232f68f0' d='M4 17h1'/%3E%3Cpath stroke='%23336bf1' d='M5 17h1'/%3E%3Cpath stroke='%23346cf1' d='M6 17h1'/%3E%3Cpath stroke='%23316cf2' d='M7 17h1'/%3E%3Cpath stroke='%23316df2' d='M8 17h1'/%3E%3Cpath stroke='%232e6ff2' d='M9 17h1'/%3E%3Cpath stroke='%232a70f2' d='M10 17h1'/%3E%3Cpath stroke='%232570f3' d='M11 17h1'/%3E%3Cpath stroke='%231f6ff3' d='M12 17h1'/%3E%3Cpath stroke='%23196df4' d='M13 17h1'/%3E%3Cpath stroke='%23136af4' d='M14 17h1'/%3E%3Cpath stroke='%230760f3' d='M16 17h1'/%3E%3Cpath stroke='%23025af0' d='M17 17h1'/%3E%3Cpath stroke='%23004de2' d='M18 17h1'/%3E%3Cpath stroke='%23003ab9' d='M19 17h1'/%3E%3Cpath stroke='%23e5eefd' d='M0 18h1'/%3E%3Cpath stroke='%23285edf' d='M1 18h1'/%3E%3Cpath stroke='%23134fdf' d='M2 18h1'/%3E%3Cpath stroke='%231b55df' d='M3 18h1'/%3E%3Cpath stroke='%23215ae2' d='M4 18h1'/%3E%3Cpath stroke='%23255ce1' d='M5 18h1'/%3E%3Cpath stroke='%23265de0' d='M6 18h1'/%3E%3Cpath stroke='%23245ce1' d='M7 18h1'/%3E%3Cpath stroke='%23235ee2' d='M8 18h1'/%3E%3Cpath stroke='%23215ee2' d='M9 18h1'/%3E%3Cpath stroke='%231e5ee2' d='M10 18h1'/%3E%3Cpath stroke='%231b5fe5' d='M11 18h1'/%3E%3Cpath stroke='%23165ee5' d='M12 18h1'/%3E%3Cpath stroke='%23135de6' d='M13 18h1'/%3E%3Cpath stroke='%230e5be5' d='M14 18h1'/%3E%3Cpath stroke='%230958e6' d='M15 18h1'/%3E%3Cpath stroke='%230454e6' d='M16 18h1'/%3E%3Cpath stroke='%23014ee2' d='M17 18h1'/%3E%3Cpath stroke='%230045d3' d='M18 18h1'/%3E%3Cpath stroke='%231f4eb8' d='M19 18h1'/%3E%3Cpath stroke='%23679ef6' d='M0 19h1m19 0h1'/%3E%3Cpath stroke='%23d0daf1' d='M1 19h1'/%3E%3Cpath stroke='%232856c3' d='M2 19h1'/%3E%3Cpath stroke='%230d3fb6' d='M3 19h1'/%3E%3Cpath stroke='%231144bd' d='M4 19h1'/%3E%3Cpath stroke='%231245bb' d='M5 19h1'/%3E%3Cpath stroke='%231445b9' d='M6 19h1'/%3E%3Cpath stroke='%231244b9' d='M7 19h1'/%3E%3Cpath stroke='%231345bc' d='M8 19h1'/%3E%3Cpath stroke='%231346bd' d='M9 19h1'/%3E%3Cpath stroke='%231045be' d='M10 19h1'/%3E%3Cpath stroke='%230d45c0' d='M11 19h1'/%3E%3Cpath stroke='%230a45c1' d='M12 19h1'/%3E%3Cpath stroke='%230844c3' d='M13 19h1'/%3E%3Cpath stroke='%23033fc0' d='M15 19h1'/%3E%3Cpath stroke='%23013fc3' d='M16 19h1'/%3E%3Cpath stroke='%23003bbe' d='M17 19h1'/%3E%3Cpath stroke='%231f4eb9' d='M18 19h1'/%3E%3Cpath stroke='%23cfd8ed' d='M19 19h1'/%3E%3Cpath stroke='%23669bf5' d='M1 20h1m17 0h1'/%3E%3Cpath stroke='%23e5edfd' d='M18 20h1'/%3E%3Cpath stroke='%23FFF' d='M5 15h9M5 9h9M5 10h9M5.5 8.5v7M13.5 8.5v7M7 5h9M7 6h9M14 11h2M7.5 5v4M15.5 5v6'/%3E%3C/svg%3E")
			}
			
			.title-bar-controls button[aria-label=Restore]: hover{
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 21 21' shape-rendering='crispEdges'%3E%3Cpath stroke='%2393b1ed' d='M1 0h1m17 0h1'/%3E%3Cpath stroke='%23f3f6fd' d='M2 0h1m17 2h1M0 18h1'/%3E%3Cpath stroke='%23fff' d='M3 0h15M0 3h1m19 0h1M0 4h1m19 0h1M0 5h1m19 0h1M0 6h1m19 0h1M0 7h1m19 0h1M0 8h1m19 0h1M0 9h1m19 0h1M0 10h1m19 0h1M0 11h1m19 0h1M0 12h1m19 0h1M0 13h1m4 0h7m8 0h1M0 14h1m4 0h7m8 0h1M0 15h1m4 0h7m8 0h1M0 16h1m19 0h1M0 17h1m19 0h1M3 20h11'/%3E%3Cpath stroke='%23f5f7fd' d='M18 0h1M0 2h1m19 16h1M2 20h1'/%3E%3Cpath stroke='%2393b0ec' d='M0 1h1m19 0h1'/%3E%3Cpath stroke='%23dce7ff' d='M1 1h1'/%3E%3Cpath stroke='%2372a1ff' d='M2 1h1m4 3h1M5 6h1'/%3E%3Cpath stroke='%236a9cff' d='M3 1h1'/%3E%3Cpath stroke='%235f94ff' d='M4 1h1M4 11h2'/%3E%3Cpath stroke='%23558eff' d='M5 1h1M3 12h1'/%3E%3Cpath stroke='%23518bff' d='M6 1h1m3 4h1'/%3E%3Cpath stroke='%234a86ff' d='M7 1h1'/%3E%3Cpath stroke='%234b87ff' d='M8 1h1m2 4h1M2 12h1'/%3E%3Cpath stroke='%234684ff' d='M9 1h2'/%3E%3Cpath stroke='%234482ff' d='M11 1h1m4 1h1m-5 3h1M1 9h1m0 4h1'/%3E%3Cpath stroke='%234080ff' d='M12 1h1M3 15h1'/%3E%3Cpath stroke='%233b7cff' d='M13 1h1'/%3E%3Cpath stroke='%233a7bff' d='M14 1h1'/%3E%3Cpath stroke='%233678ff' d='M15 1h1'/%3E%3Cpath stroke='%232e73ff' d='M16 1h1'/%3E%3Cpath stroke='%23276cf9' d='M17 1h1'/%3E%3Cpath stroke='%233a73e7' d='M18 1h1'/%3E%3Cpath stroke='%23d3ddf3' d='M19 1h1'/%3E%3Cpath stroke='%2373a1ff' d='M1 2h1'/%3E%3Cpath stroke='%2397b9ff' d='M2 2h1'/%3E%3Cpath stroke='%239cbdff' d='M3 2h1'/%3E%3Cpath stroke='%2390b5ff' d='M4 2h1'/%3E%3Cpath stroke='%2382acff' d='M5 2h1M5 4h1'/%3E%3Cpath stroke='%237ba7ff' d='M6 2h1M2 6h1'/%3E%3Cpath stroke='%2375a3ff' d='M7 2h1'/%3E%3Cpath stroke='%236f9fff' d='M8 2h1M3 8h1'/%3E%3Cpath stroke='%236c9dff' d='M9 2h1M1 3h1'/%3E%3Cpath stroke='%23689bff' d='M10 2h1M5 8h1M3 9h1'/%3E%3Cpath stroke='%236599ff' d='M11 2h1m0 1h1M5 9h1'/%3E%3Cpath stroke='%236095ff' d='M12 2h1m0 1h1M8 5h1'/%3E%3Cpath stroke='%235d93ff' d='M13 2h1'/%3E%3Cpath stroke='%23568eff' d='M14 2h1'/%3E%3Cpath stroke='%234f8aff' d='M15 2h1M3 13h1m0 1h1'/%3E%3Cpath stroke='%233878fb' d='M17 2h1'/%3E%3Cpath stroke='%232969eb' d='M18 2h1'/%3E%3Cpath stroke='%233566cb' d='M19 2h1'/%3E%3Cpath stroke='%239ebeff' d='M2 3h1'/%3E%3Cpath stroke='%23a4c2ff' d='M3 3h1'/%3E%3Cpath stroke='%2399baff' d='M4 3h1M3 4h1'/%3E%3Cpath stroke='%238ab0ff' d='M5 3h1'/%3E%3Cpath stroke='%2382abff' d='M6 3h1'/%3E%3Cpath stroke='%2379a6ff' d='M7 3h1'/%3E%3Cpath stroke='%2374a3ff' d='M8 3h1'/%3E%3Cpath stroke='%2371a0ff' d='M9 3h1'/%3E%3Cpath stroke='%236d9eff' d='M10 3h1M5 7h1M4 8h1'/%3E%3Cpath stroke='%23699bff' d='M11 3h1'/%3E%3Cpath stroke='%235a91ff' d='M14 3h1M2 10h1m1 2h1'/%3E%3Cpath stroke='%23538cff' d='M15 3h1M2 11h1'/%3E%3Cpath stroke='%234986ff' d='M16 3h1'/%3E%3Cpath stroke='%233d7cfc' d='M17 3h1'/%3E%3Cpath stroke='%232e6cea' d='M18 3h1'/%3E%3Cpath stroke='%231b52c2' d='M19 3h1'/%3E%3Cpath stroke='%236296ff' d='M1 4h1'/%3E%3Cpath stroke='%2391b5ff' d='M2 4h1'/%3E%3Cpath stroke='%238fb4ff' d='M4 4h1'/%3E%3Cpath stroke='%237aa6ff' d='M6 4h1'/%3E%3Cpath stroke='%236b9dff' d='M8 4h1'/%3E%3Cpath stroke='%236598ff' d='M9 4h1'/%3E%3Cpath stroke='%235f95ff' d='M10 4h1M7 7h1m-2 3h1'/%3E%3Cpath stroke='%235b92ff' d='M11 4h1'/%3E%3Cpath stroke='%23548dff' d='M12 4h1M1 6h1m2 7h1'/%3E%3Cpath stroke='%23528cff' d='M13 4h1'/%3E%3Cpath stroke='%234c88ff' d='M14 4h1m-5 2h1'/%3E%3Cpath stroke='%234785ff' d='M15 4h1'/%3E%3Cpath stroke='%234280ff' d='M16 4h1'/%3E%3Cpath stroke='%233b7afb' d='M17 4h1'/%3E%3Cpath stroke='%23316fec' d='M18 4h1'/%3E%3Cpath stroke='%231f55c3' d='M19 4h1'/%3E%3Cpath stroke='%235990ff' d='M1 5h1m7 0h1'/%3E%3Cpath stroke='%2385adff' d='M2 5h1'/%3E%3Cpath stroke='%238bb1ff' d='M3 5h1'/%3E%3Cpath stroke='%2384acff' d='M4 5h1'/%3E%3Cpath stroke='%2378a5ff' d='M5 5h1'/%3E%3Cpath stroke='%2370a0ff' d='M6 5h1'/%3E%3Cpath stroke='%23679aff' d='M7 5h1'/%3E%3Cpath stroke='%234180ff' d='M13 5h1'/%3E%3Cpath stroke='%233d7eff' d='M14 5h1'/%3E%3Cpath stroke='%233b7bff' d='M15 5h1'/%3E%3Cpath stroke='%23397aff' d='M16 5h1M1 11h1'/%3E%3Cpath stroke='%233979fc' d='M17 5h1'/%3E%3Cpath stroke='%233370ec' d='M18 5h1m-1 1h1'/%3E%3Cpath stroke='%232357c3' d='M19 5h1'/%3E%3Cpath stroke='%2381aaff' d='M3 6h1'/%3E%3Cpath stroke='%237aa7ff' d='M4 6h1'/%3E%3Cpath stroke='%236b9cff' d='M6 6h1'/%3E%3Cpath stroke='%236297ff' d='M7 6h1m-3 4h1'/%3E%3Cpath stroke='%235c93ff' d='M8 6h1M7 8h1m-2 3h1'/%3E%3Cpath stroke='%23548eff' d='M9 6h1'/%3E%3Cpath stroke='%234483ff' d='M11 6h1M5 16h1'/%3E%3Cpath stroke='%233d7fff' d='M12 6h1'/%3E%3Cpath stroke='%23387bff' d='M13 6h1'/%3E%3Cpath stroke='%233679ff' d='M14 6h1m1 0h1'/%3E%3Cpath stroke='%233579ff' d='M15 6h1'/%3E%3Cpath stroke='%233879fc' d='M17 6h1'/%3E%3Cpath stroke='%232358c5' d='M19 6h1'/%3E%3Cpath stroke='%234e89ff' d='M1 7h1'/%3E%3Cpath stroke='%2371a1ff' d='M2 7h1'/%3E%3Cpath stroke='%2377a5ff' d='M3 7h1'/%3E%3Cpath stroke='%2374a2ff' d='M4 7h1'/%3E%3Cpath stroke='%23669aff' d='M6 7h1'/%3E%3Cpath stroke='%235890ff' d='M8 7h1'/%3E%3Cpath stroke='%23508dff' d='M9 7h1'/%3E%3Cpath stroke='%234989ff' d='M10 7h1'/%3E%3Cpath stroke='%234183ff' d='M11 7h1'/%3E%3Cpath stroke='%233a7fff' d='M12 7h1'/%3E%3Cpath stroke='%23357bff' d='M13 7h1'/%3E%3Cpath stroke='%23317aff' d='M14 7h2'/%3E%3Cpath stroke='%23337aff' d='M16 7h1'/%3E%3Cpath stroke='%23367bfc' d='M17 7h1'/%3E%3Cpath stroke='%233372ed' d='M18 7h1'/%3E%3Cpath stroke='%232359c5' d='M19 7h1'/%3E%3Cpath stroke='%234d88ff' d='M1 8h1'/%3E%3Cpath stroke='%23699cff' d='M2 8h1'/%3E%3Cpath stroke='%236398ff' d='M6 8h1'/%3E%3Cpath stroke='%23548fff' d='M8 8h1'/%3E%3Cpath stroke='%234d8cff' d='M9 8h1'/%3E%3Cpath stroke='%23468aff' d='M10 8h1'/%3E%3Cpath stroke='%233f86ff' d='M11 8h1'/%3E%3Cpath stroke='%233983ff' d='M12 8h1'/%3E%3Cpath stroke='%233380ff' d='M13 8h1'/%3E%3Cpath stroke='%232f7fff' d='M14 8h2'/%3E%3Cpath stroke='%233280ff' d='M16 8h1'/%3E%3Cpath stroke='%233580fc' d='M17 8h1'/%3E%3Cpath stroke='%233276ed' d='M18 8h1'/%3E%3Cpath stroke='%23235ac6' d='M19 8h1'/%3E%3Cpath stroke='%236196ff' d='M2 9h1m3 0h1m-4 1h1'/%3E%3Cpath stroke='%23689aff' d='M4 9h1'/%3E%3Cpath stroke='%235b93ff' d='M7 9h1'/%3E%3Cpath stroke='%235491ff' d='M8 9h1'/%3E%3Cpath stroke='%234f90ff' d='M9 9h1'/%3E%3Cpath stroke='%234890ff' d='M10 9h1'/%3E%3Cpath stroke='%23428eff' d='M11 9h1'/%3E%3Cpath stroke='%233b8dff' d='M12 9h1'/%3E%3Cpath stroke='%23348aff' d='M13 9h1'/%3E%3Cpath stroke='%233189ff' d='M14 9h1'/%3E%3Cpath stroke='%232f88ff' d='M15 9h1'/%3E%3Cpath stroke='%233188ff' d='M16 9h1'/%3E%3Cpath stroke='%233385fc' d='M17 9h1'/%3E%3Cpath stroke='%233079ed' d='M18 9h1'/%3E%3Cpath stroke='%23215cc8' d='M19 9h1'/%3E%3Cpath stroke='%233f7fff' d='M1 10h1'/%3E%3Cpath stroke='%236397ff' d='M4 10h1'/%3E%3Cpath stroke='%235993ff' d='M7 10h1'/%3E%3Cpath stroke='%235492ff' d='M8 10h1'/%3E%3Cpath stroke='%235093ff' d='M9 10h1'/%3E%3Cpath stroke='%234a95ff' d='M10 10h1'/%3E%3Cpath stroke='%234496ff' d='M11 10h1'/%3E%3Cpath stroke='%233d96ff' d='M12 10h1'/%3E%3Cpath stroke='%233694ff' d='M13 10h1'/%3E%3Cpath stroke='%233193ff' d='M14 10h1'/%3E%3Cpath stroke='%232f92ff' d='M15 10h1'/%3E%3Cpath stroke='%233090ff' d='M16 10h1'/%3E%3Cpath stroke='%23328cfc' d='M17 10h1'/%3E%3Cpath stroke='%232e7def' d='M18 10h1'/%3E%3Cpath stroke='%231e5dc9' d='M19 10h1'/%3E%3Cpath stroke='%235c92ff' d='M3 11h1m1 1h1'/%3E%3Cpath stroke='%235792ff' d='M7 11h1m-1 1h1'/%3E%3Cpath stroke='%235594ff' d='M8 11h1'/%3E%3Cpath stroke='%235298ff' d='M9 11h1'/%3E%3Cpath stroke='%234d9cff' d='M10 11h1'/%3E%3Cpath stroke='%23479eff' d='M11 11h1'/%3E%3Cpath stroke='%23409fff' d='M12 11h1'/%3E%3Cpath stroke='%23379fff' d='M13 11h1'/%3E%3Cpath stroke='%23339dff' d='M14 11h1'/%3E%3Cpath stroke='%232f9bff' d='M15 11h1'/%3E%3Cpath stroke='%232e97ff' d='M16 11h1'/%3E%3Cpath stroke='%232e91fc' d='M17 11h1'/%3E%3Cpath stroke='%232a80f0' d='M18 11h1'/%3E%3Cpath stroke='%231b5dcb' d='M19 11h1'/%3E%3Cpath stroke='%233275ff' d='M1 12h1'/%3E%3Cpath stroke='%235991ff' d='M6 12h1'/%3E%3Cpath stroke='%235596ff' d='M8 12h1'/%3E%3Cpath stroke='%23529cff' d='M9 12h1'/%3E%3Cpath stroke='%234fa1ff' d='M10 12h1'/%3E%3Cpath stroke='%234aa6ff' d='M11 12h1'/%3E%3Cpath stroke='%2342a9ff' d='M12 12h1'/%3E%3Cpath stroke='%233aa9ff' d='M13 12h1'/%3E%3Cpath stroke='%2334a7ff' d='M14 12h1'/%3E%3Cpath stroke='%2330a5ff' d='M15 12h1'/%3E%3Cpath stroke='%232ca0ff' d='M16 12h1'/%3E%3Cpath stroke='%232a96fd' d='M17 12h1'/%3E%3Cpath stroke='%232581f1' d='M18 12h1'/%3E%3Cpath stroke='%23185dcc' d='M19 12h1'/%3E%3Cpath stroke='%232d72ff' d='M1 13h1m0 3h1'/%3E%3Cpath stroke='%23548DFF' d='M5 13h1'/%3E%3Cpath stroke='%235991FF' d='M6 13h1'/%3E%3Cpath stroke='%235792FF' d='M7 13h1'/%3E%3Cpath stroke='%235496FF' d='M8 13h1'/%3E%3Cpath stroke='%23539CFF' d='M9 13h1'/%3E%3Cpath stroke='%234FA1FF' d='M10 13h1'/%3E%3Cpath stroke='%2344AFFE' d='M11 13h1'/%3E%3Cpath stroke='%2344afff' d='M12 13h1'/%3E%3Cpath stroke='%233eb1ff' d='M13 13h1'/%3E%3Cpath stroke='%2337afff' d='M14 13h1'/%3E%3Cpath stroke='%232fabff' d='M15 13h1'/%3E%3Cpath stroke='%2329a4ff' d='M16 13h1'/%3E%3Cpath stroke='%232599fd' d='M17 13h1'/%3E%3Cpath stroke='%231e80f2' d='M18 13h1'/%3E%3Cpath stroke='%23145bcd' d='M19 13h1'/%3E%3Cpath stroke='%23276eff' d='M1 14h1'/%3E%3Cpath stroke='%233d7dff' d='M2 14h1'/%3E%3Cpath stroke='%234985ff' d='M3 14h1'/%3E%3Cpath stroke='%23548DFF' d='M5 14h1'/%3E%3Cpath stroke='%235991FF' d='M6 14h1'/%3E%3Cpath stroke='%235792FF' d='M7 14h1'/%3E%3Cpath stroke='%235496FF' d='M8 14h1'/%3E%3Cpath stroke='%23539CFF' d='M9 14h1'/%3E%3Cpath stroke='%234FA1FF' d='M10 14h1'/%3E%3Cpath stroke='%2344AFFE' d='M11 14h1'/%3E%3Cpath stroke='%2343b1ff' d='M12 14h1'/%3E%3Cpath stroke='%233eb4ff' d='M13 14h1'/%3E%3Cpath stroke='%2335b2ff' d='M14 14h1'/%3E%3Cpath stroke='%232caeff' d='M15 14h1'/%3E%3Cpath stroke='%2324a5ff' d='M16 14h1'/%3E%3Cpath stroke='%231f97fd' d='M17 14h1'/%3E%3Cpath stroke='%231980f3' d='M18 14h1'/%3E%3Cpath stroke='%23105ace' d='M19 14h1'/%3E%3Cpath stroke='%23216aff' d='M1 15h1'/%3E%3Cpath stroke='%233578ff' d='M2 15h1'/%3E%3Cpath stroke='%234885ff' d='M4 15h1'/%3E%3Cpath stroke='%2341afff' d='M12 15h1'/%3E%3Cpath stroke='%233bb2ff' d='M13 15h1'/%3E%3Cpath stroke='%2333b1ff' d='M14 15h1'/%3E%3Cpath stroke='%232aadff' d='M15 15h1'/%3E%3Cpath stroke='%2321a3ff' d='M16 15h1'/%3E%3Cpath stroke='%231a95fd' d='M17 15h1'/%3E%3Cpath stroke='%23137cf2' d='M18 15h1'/%3E%3Cpath stroke='%230c59cf' d='M19 15h1'/%3E%3Cpath stroke='%231c66ff' d='M1 16h1'/%3E%3Cpath stroke='%233879ff' d='M3 16h1'/%3E%3Cpath stroke='%233f7eff' d='M4 16h1'/%3E%3Cpath stroke='%234584ff' d='M6 16h1'/%3E%3Cpath stroke='%234587ff' d='M7 16h1'/%3E%3Cpath stroke='%23468eff' d='M8 16h1'/%3E%3Cpath stroke='%234696ff' d='M9 16h1'/%3E%3Cpath stroke='%23439cff' d='M10 16h1'/%3E%3Cpath stroke='%233fa3ff' d='M11 16h1'/%3E%3Cpath stroke='%233ba8ff' d='M12 16h1'/%3E%3Cpath stroke='%233af' d='M13 16h1'/%3E%3Cpath stroke='%232da9ff' d='M14 16h1'/%3E%3Cpath stroke='%2324a6ff' d='M15 16h1'/%3E%3Cpath stroke='%231d9eff' d='M16 16h1'/%3E%3Cpath stroke='%231690fd' d='M17 16h1'/%3E%3Cpath stroke='%231078f1' d='M18 16h1'/%3E%3Cpath stroke='%230b57ce' d='M19 16h1'/%3E%3Cpath stroke='%231761f9' d='M1 17h1'/%3E%3Cpath stroke='%23246bfa' d='M2 17h1'/%3E%3Cpath stroke='%232f72fb' d='M3 17h1'/%3E%3Cpath stroke='%233676fb' d='M4 17h1'/%3E%3Cpath stroke='%233a7afb' d='M5 17h1'/%3E%3Cpath stroke='%233b7bfc' d='M6 17h1'/%3E%3Cpath stroke='%233b7efc' d='M7 17h1'/%3E%3Cpath stroke='%233c84fc' d='M8 17h1'/%3E%3Cpath stroke='%233b8afc' d='M9 17h1'/%3E%3Cpath stroke='%233990fc' d='M10 17h1'/%3E%3Cpath stroke='%233695fc' d='M11 17h1'/%3E%3Cpath stroke='%233299fc' d='M12 17h1'/%3E%3Cpath stroke='%232c9cfd' d='M13 17h1'/%3E%3Cpath stroke='%23259bfd' d='M14 17h1'/%3E%3Cpath stroke='%231e97fd' d='M15 17h1'/%3E%3Cpath stroke='%231790fc' d='M16 17h1'/%3E%3Cpath stroke='%231184fa' d='M17 17h1'/%3E%3Cpath stroke='%230c6ded' d='M18 17h1'/%3E%3Cpath stroke='%230850c8' d='M19 17h1'/%3E%3Cpath stroke='%232f6ae4' d='M1 18h1'/%3E%3Cpath stroke='%231b5fe9' d='M2 18h1'/%3E%3Cpath stroke='%232163e8' d='M3 18h1'/%3E%3Cpath stroke='%232868eb' d='M4 18h1'/%3E%3Cpath stroke='%232c6aea' d='M5 18h1'/%3E%3Cpath stroke='%232e6dea' d='M6 18h1'/%3E%3Cpath stroke='%232d6deb' d='M7 18h1'/%3E%3Cpath stroke='%232c71ec' d='M8 18h1'/%3E%3Cpath stroke='%232c76ec' d='M9 18h1'/%3E%3Cpath stroke='%232a79ed' d='M10 18h1'/%3E%3Cpath stroke='%23287eef' d='M11 18h1'/%3E%3Cpath stroke='%232481f1' d='M12 18h1'/%3E%3Cpath stroke='%232182f1' d='M13 18h1'/%3E%3Cpath stroke='%231c80f1' d='M14 18h1'/%3E%3Cpath stroke='%231880f3' d='M15 18h1'/%3E%3Cpath stroke='%23117af2' d='M16 18h1'/%3E%3Cpath stroke='%230c6eed' d='M17 18h1'/%3E%3Cpath stroke='%230a5ddd' d='M18 18h1'/%3E%3Cpath stroke='%23265dc1' d='M19 18h1'/%3E%3Cpath stroke='%2393b4f2' d='M0 19h1m19 0h1'/%3E%3Cpath stroke='%23d1ddf4' d='M1 19h1'/%3E%3Cpath stroke='%232e61ca' d='M2 19h1'/%3E%3Cpath stroke='%23134bbf' d='M3 19h1'/%3E%3Cpath stroke='%23164fc2' d='M4 19h1'/%3E%3Cpath stroke='%231950c1' d='M5 19h1'/%3E%3Cpath stroke='%231b52c1' d='M6 19h1'/%3E%3Cpath stroke='%231a52c3' d='M7 19h1'/%3E%3Cpath stroke='%231954c6' d='M8 19h1'/%3E%3Cpath stroke='%231b58c9' d='M9 19h1'/%3E%3Cpath stroke='%231858c8' d='M10 19h1'/%3E%3Cpath stroke='%23165bcd' d='M11 19h1'/%3E%3Cpath stroke='%23145cd0' d='M12 19h1'/%3E%3Cpath stroke='%23135cd0' d='M13 19h1'/%3E%3Cpath stroke='%230f58cc' d='M14 19h1'/%3E%3Cpath stroke='%230d5ad2' d='M15 19h1'/%3E%3Cpath stroke='%230b58d1' d='M16 19h1'/%3E%3Cpath stroke='%230951cb' d='M17 19h1'/%3E%3Cpath stroke='%23265ec3' d='M18 19h1'/%3E%3Cpath stroke='%23d0daee' d='M19 19h1'/%3E%3Cpath stroke='%2393b3f2' d='M1 20h1m17 0h1'/%3E%3Cpath stroke='%23fefefe' d='M14 20h1'/%3E%3Cpath stroke='%23fdfdfd' d='M15 20h1m1 0h1'/%3E%3Cpath stroke='%23fcfcfc' d='M16 20h1'/%3E%3Cpath stroke='%23f2f5fc' d='M18 20h1M5 15h9M5 9h9M5 10h9M5.5 8.5v7M13.5 8.5v7M7 5h9M7 6h9M14 11h2M7.5 5v4M15.5 5v6'/%3E%3C/svg%3E")
			}
			
			.title-bar-controls button[aria-label=Restore]: not(: disabled): active{
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 21 21' shape-rendering='crispEdges'%3E%3Cpath stroke='%2393b1ed' d='M1 0h1m17 0h1'/%3E%3Cpath stroke='%23f4f6fd' d='M2 0h1m15 0h1M0 2h1m19 0h1M0 18h1m19 0h1M2 20h1m15 0h1'/%3E%3Cpath stroke='%23fff' d='M3 0h15M0 3h1m19 0h1M0 4h1m19 0h1M0 5h1m19 0h1M0 6h1m19 0h1M0 7h1m19 0h1M0 8h1m19 0h1M0 9h1m19 0h1M0 10h1m19 0h1M0 11h1m19 0h1M0 12h1m19 0h1M0 13h1m19 0h1M0 14h1m19 0h1M0 15h1m19 0h1M0 16h1m19 0h1M0 17h1m19 0h1M3 20h15'/%3E%3Cpath stroke='%23a7bcee' d='M0 1h1m19 0h1'/%3E%3Cpath stroke='%23cfd3da' d='M1 1h1'/%3E%3Cpath stroke='%231f3b5f' d='M2 1h1M1 2h1'/%3E%3Cpath stroke='%23002453' d='M3 1h1M1 4h1'/%3E%3Cpath stroke='%23002557' d='M4 1h1'/%3E%3Cpath stroke='%23002658' d='M5 1h1'/%3E%3Cpath stroke='%2300285c' d='M6 1h1'/%3E%3Cpath stroke='%23002a61' d='M7 1h1'/%3E%3Cpath stroke='%23002d67' d='M8 1h1'/%3E%3Cpath stroke='%23002f6b' d='M9 1h1'/%3E%3Cpath stroke='%23002f6c' d='M10 1h1M1 10h1'/%3E%3Cpath stroke='%23003273' d='M11 1h1'/%3E%3Cpath stroke='%23003478' d='M12 1h1M5 2h1'/%3E%3Cpath stroke='%2300357b' d='M13 1h1M2 5h1m-2 8h1'/%3E%3Cpath stroke='%2300377f' d='M14 1h1M6 2h1'/%3E%3Cpath stroke='%23003780' d='M15 1h1'/%3E%3Cpath stroke='%23003984' d='M16 1h1'/%3E%3Cpath stroke='%23003882' d='M17 1h1M3 3h1'/%3E%3Cpath stroke='%231f5295' d='M18 1h1'/%3E%3Cpath stroke='%23cfdae9' d='M19 1h1'/%3E%3Cpath stroke='%23002a62' d='M2 2h1'/%3E%3Cpath stroke='%23003070' d='M3 2h1'/%3E%3Cpath stroke='%23003275' d='M4 2h1'/%3E%3Cpath stroke='%23003883' d='M7 2h1M1 17h1'/%3E%3Cpath stroke='%23003a88' d='M8 2h1'/%3E%3Cpath stroke='%23003d8f' d='M9 2h1M2 9h1'/%3E%3Cpath stroke='%23003e90' d='M10 2h1'/%3E%3Cpath stroke='%23004094' d='M11 2h1'/%3E%3Cpath stroke='%23004299' d='M12 2h1M2 12h1'/%3E%3Cpath stroke='%2300439b' d='M13 2h1'/%3E%3Cpath stroke='%2300449e' d='M14 2h1M2 14h1'/%3E%3Cpath stroke='%2300459f' d='M15 2h1'/%3E%3Cpath stroke='%230045a1' d='M16 2h1m1 0h1M2 17h1'/%3E%3Cpath stroke='%230045a0' d='M17 2h1M2 15h1'/%3E%3Cpath stroke='%231f5aa8' d='M19 2h1'/%3E%3Cpath stroke='%23002452' d='M1 3h1'/%3E%3Cpath stroke='%23003170' d='M2 3h1'/%3E%3Cpath stroke='%23003b8b' d='M4 3h1M3 4h1'/%3E%3Cpath stroke='%23003c8f' d='M5 3h1'/%3E%3Cpath stroke='%23003e94' d='M6 3h1'/%3E%3Cpath stroke='%23004099' d='M7 3h1'/%3E%3Cpath stroke='%2300429d' d='M8 3h1'/%3E%3Cpath stroke='%230044a2' d='M9 3h1'/%3E%3Cpath stroke='%230046a5' d='M10 3h1'/%3E%3Cpath stroke='%230048a8' d='M11 3h1'/%3E%3Cpath stroke='%230049ab' d='M12 3h1m-3 2h1'/%3E%3Cpath stroke='%23004aac' d='M13 3h1'/%3E%3Cpath stroke='%23004aad' d='M14 3h1'/%3E%3Cpath stroke='%23004bae' d='M15 3h2m1 0h1M3 14h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23004baf' d='M17 3h1m-5 2h1m-7 5h1m-5 7h1m-1 1h1'/%3E%3Cpath stroke='%23004bad' d='M19 3h1M3 13h1m-1 6h1'/%3E%3Cpath stroke='%23037' d='M2 4h1m-2 8h1'/%3E%3Cpath stroke='%23003d92' d='M4 4h1'/%3E%3Cpath stroke='%23003f97' d='M5 4h1M4 5h1'/%3E%3Cpath stroke='%2300419d' d='M6 4h1M4 6h1'/%3E%3Cpath stroke='%230043a1' d='M7 4h1'/%3E%3Cpath stroke='%230045a4' d='M8 4h1'/%3E%3Cpath stroke='%230047a8' d='M9 4h1M4 9h1'/%3E%3Cpath stroke='%230048ab' d='M10 4h1m-7 6h1'/%3E%3Cpath stroke='%230049ad' d='M11 4h1m-2 2h1m-6 5h1'/%3E%3Cpath stroke='%23004aae' d='M12 4h1m-1 1h1m-2 1h1m-6 5h1m-3 1h2'/%3E%3Cpath stroke='%23004cb0' d='M13 4h1m0 1h1m-8 6h1m-4 2h1'/%3E%3Cpath stroke='%23004db1' d='M14 4h3m-2 1h2m-4 1h4M7 12h1m-4 2h1m-1 1h1m-1 1h2'/%3E%3Cpath stroke='%23004db2' d='M17 4h3m-3 1h3m-2 1h2m-8 1h1m6 0h1m-9 1h1m-4 3h1m-5 6h2m-2 1h4m-4 1h4'/%3E%3Cpath stroke='%23002555' d='M1 5h1'/%3E%3Cpath stroke='%23003d90' d='M3 5h1'/%3E%3Cpath stroke='%2300409c' d='M5 5h1'/%3E%3Cpath stroke='%230042a1' d='M6 5h1M5 6h1'/%3E%3Cpath stroke='%230044a5' d='M7 5h1M6 6h1'/%3E%3Cpath stroke='%230046a8' d='M8 5h1M5 8h1'/%3E%3Cpath stroke='%230047aa' d='M9 5h1'/%3E%3Cpath stroke='%230049ac' d='M11 5h1m-7 5h1m-2 1h1m-2 1h1'/%3E%3Cpath stroke='%2300275a' d='M1 6h1'/%3E%3Cpath stroke='%23003781' d='M2 6h1m-2 9h1'/%3E%3Cpath stroke='%23003f95' d='M3 6h1'/%3E%3Cpath stroke='%230045a9' d='M7 6h1'/%3E%3Cpath stroke='%230046aa' d='M8 6h1M6 7h1'/%3E%3Cpath stroke='%230047ac' d='M9 6h1M7 7h1'/%3E%3Cpath stroke='%23004bb0' d='M12 6h1M8 9h1m-3 3h1'/%3E%3Cpath stroke='%23004eb3' d='M17 6h1m-5 1h1m4 0h1m0 1h1M10 9h1m-2 1h1m-3 6h1m-2 1h2m0 2h1'/%3E%3Cpath stroke='%2300295f' d='M1 7h1'/%3E%3Cpath stroke='%23003985' d='M2 7h1'/%3E%3Cpath stroke='%2300419b' d='M3 7h1'/%3E%3Cpath stroke='%230043a2' d='M4 7h1'/%3E%3Cpath stroke='%230044a6' d='M5 7h1'/%3E%3Cpath stroke='%230048ad' d='M8 7h1M6 9h1'/%3E%3Cpath stroke='%230049ae' d='M9 7h1M7 8h2m-3 2h1'/%3E%3Cpath stroke='%23004aaf' d='M10 7h1M9 8h1M7 9h1'/%3E%3Cpath stroke='%23004cb1' d='M11 7h1m-2 1h1M9 9h1m-2 1h1'/%3E%3Cpath stroke='%23004fb3' d='M14 7h1'/%3E%3Cpath stroke='%23004fb4' d='M15 7h3m-6 1h1m5 0h1m0 1h1M8 12h1m-1 6h1m0 1h1'/%3E%3Cpath stroke='%23002b63' d='M1 8h1'/%3E%3Cpath stroke='%23003b8a' d='M2 8h1'/%3E%3Cpath stroke='%2300439f' d='M3 8h1'/%3E%3Cpath stroke='%230045a5' d='M4 8h1'/%3E%3Cpath stroke='%230047ab' d='M6 8h1M5 9h1'/%3E%3Cpath stroke='%230050b5' d='M13 8h2m1 0h2m-7 1h1m-2 1h1m8 0h1M9 11h1m-2 5h1m-1 1h1m1 2h1'/%3E%3Cpath stroke='%230051b6' d='M15 8h1m2 1h1m0 2h1m-1 1h1m-1 5h1M9 18h1m1 1h1'/%3E%3Cpath stroke='%23002d68' d='M1 9h1'/%3E%3Cpath stroke='%230045a3' d='M3 9h1'/%3E%3Cpath stroke='%230052b7' d='M12 9h1m-2 1h1m-2 1h1m-2 1h1m9 1h1m-8 6h2m3 0h1'/%3E%3Cpath stroke='%230053b8' d='M13 9h1m2 0h2m0 1h1m0 4h1M9 16h1m9 0h1M9 17h1m0 1h1m3 1h1m1 0h1'/%3E%3Cpath stroke='%230054b9' d='M14 9h2m2 9h1m-4 1h1'/%3E%3Cpath stroke='%23003f93' d='M2 10h1'/%3E%3Cpath stroke='%230047a7' d='M3 10h1'/%3E%3Cpath stroke='%230055ba' d='M12 10h1m4 0h1m-7 1h1m6 0h1m-9 6h1m0 1h1'/%3E%3Cpath stroke='%230056bb' d='M13 10h1m2 0h1m1 2h1m-9 4h1'/%3E%3Cpath stroke='%230057bc' d='M14 10h2m-5 2h1m6 5h1m-7 1h1m4 0h1'/%3E%3Cpath stroke='%23003172' d='M1 11h1'/%3E%3Cpath stroke='%23004095' d='M2 11h1'/%3E%3Cpath stroke='%230048aa' d='M3 11h1'/%3E%3Cpath stroke='%230058bd' d='M12 11h1m4 0h1m0 2h1m-6 5h1'/%3E%3Cpath stroke='%230059be' d='M13 11h1m2 0h1m-6 5h1m6 0h1m-5 2h1m1 0h1'/%3E%3Cpath stroke='%23005abf' d='M12 12h1m4 0h1m-6 5h1m2 1h1'/%3E%3Cpath stroke='%230055b9' d='M10 12h1'/%3E%3Cpath stroke='%23005cc1' d='M13 12h1m2 0h1m-5 1h1m4 0h1m-5 4h1'/%3E%3Cpath stroke='%23005dc2' d='M14 12h1m-3 2h1m4 0h1m-6 1h1m4 1h1m-4 1h1m1 0h1'/%3E%3Cpath stroke='%23005ec3' d='M15 12h1m-3 1h1m2 0h1m0 2h1m-5 1h1m1 1h1'/%3E%3Cpath stroke='%2300449d' d='M2 13h1'/%3E%3Cpath stroke='%2378a2d8' d='M5 13h7m-7 1h7m-7 1h7M5 13h1'/%3E%3Cpath stroke='%23004BB0' d='M6 13h1'/%3E%3Cpath stroke='%23004DB1' d='M7 13h1'/%3E%3Cpath stroke='%23004FB4' d='M8 13h1'/%3E%3Cpath stroke='%230052B7' d='M9 13h1'/%3E%3Cpath stroke='%230055B9' d='M10 13h1'/%3E%3Cpath stroke='%230157BC' d='M11 13h1'/%3E%3Cpath stroke='%2378a2d8' d='M13 13h1'/%3E%3Cpath stroke='%23005fc4' d='M14 13h1m1 1h1'/%3E%3Cpath stroke='%230060c5' d='M15 13h1m-2 1h1m1 1h1m-2 1h1'/%3E%3Cpath stroke='%2300367e' d='M1 14h1'/%3E%3Cpath stroke='%230061c6' d='M15 14h1m-2 1h1'/%3E%3Cpath stroke='%23004BB0' d='M6 14h1'/%3E%3Cpath stroke='%23004DB1' d='M7 14h1'/%3E%3Cpath stroke='%23004FB4' d='M8 14h1'/%3E%3Cpath stroke='%230052B7' d='M9 14h1'/%3E%3Cpath stroke='%230055B9' d='M10 14h1'/%3E%3Cpath stroke='%230157BC' d='M11 14h1'/%3E%3Cpath stroke='%2378a2d8' d='M13 14h1'/%3E%3Cpath stroke='%230059bd' d='M18 14h1'/%3E%3Cpath stroke='%2378a2d8' d='M12 15h1M13 15h1'/%3E%3Cpath stroke='%230062c6' d='M15 15h1'/%3E%3Cpath stroke='%23005abe' d='M18 15h1'/%3E%3Cpath stroke='%230054b8' d='M19 15h1'/%3E%3Cpath stroke='%23003881' d='M1 16h1'/%3E%3Cpath stroke='%230046a1' d='M2 16h1'/%3E%3Cpath stroke='%23004eb2' d='M6 16h1'/%3E%3Cpath stroke='%23005cc0' d='M12 16h1'/%3E%3Cpath stroke='%23005fc3' d='M14 16h1'/%3E%3Cpath stroke='%230060c4' d='M16 16h1'/%3E%3Cpath stroke='%230058bc' d='M11 17h1'/%3E%3Cpath stroke='%23005bc0' d='M17 17h1'/%3E%3Cpath stroke='%231f5294' d='M1 18h1'/%3E%3Cpath stroke='%230046a2' d='M2 18h1'/%3E%3Cpath stroke='%231f66be' d='M19 18h1'/%3E%3Cpath stroke='%23a7bef0' d='M0 19h1m0 1h1m17 0h1'/%3E%3Cpath stroke='%23cfdae8' d='M1 19h1'/%3E%3Cpath stroke='%231f5ba9' d='M2 19h1'/%3E%3Cpath stroke='%231f66bf' d='M18 19h1'/%3E%3Cpath stroke='%23cfdef1' d='M19 19h1'/%3E%3Cpath stroke='%2393b4f2' d='M20 19h1'/%3E%3Cpath stroke='%2378a2d8' d='M5 15h9M5 9h9M5 10h9M5.5 8.5v7M13.5 8.5v7M7 5h9M7 6h9M14 11h2M7.5 5v4M15.5 5v6'/%3E%3C/svg%3E")
			}
			
			.title-bar-controls button[aria-label=Help]{
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 21 21' shape-rendering='crispEdges'%3E%3Cpath stroke='%23b5c6ef' d='M1 0h1m17 0h1M0 1h1m19 0h1M0 19h1m19 0h1M1 20h1m17 0h1'/%3E%3Cpath stroke='%23f4f6fd' d='M2 0h1m17 2h1M0 18h1m17 2h1'/%3E%3Cpath stroke='%23fff' d='M3 0h16M0 2h1M0 3h1m19 0h1M0 4h1m8 0h3m8 0h1M0 5h1m7 0h1m3 0h1m7 0h1M0 6h1m6 0h1m5 0h1m6 0h1M0 7h1m12 0h1m6 0h1M0 8h1m12 0h1m6 0h1M0 9h1m12 0h1m6 0h1M0 10h1m10 0h2m7 0h1M0 11h1m9 0h1m9 0h1M0 12h1m9 0h1m9 0h1M0 13h1m19 0h1M0 14h1m19 0h1M0 15h1m9 0h1m9 0h1M0 16h1m9 0h1m9 0h1M0 17h1m19 0h1m-1 1h1M2 20h16'/%3E%3Cpath stroke='%23dce5fd' d='M1 1h1'/%3E%3Cpath stroke='%23739af8' d='M2 1h1'/%3E%3Cpath stroke='%23608cf7' d='M3 1h1M2 8h1'/%3E%3Cpath stroke='%235584f6' d='M4 1h1'/%3E%3Cpath stroke='%234d7ef6' d='M5 1h1M1 6h1m5 4h1'/%3E%3Cpath stroke='%23487af5' d='M6 1h1'/%3E%3Cpath stroke='%234276f5' d='M7 1h1M3 14h1'/%3E%3Cpath stroke='%234478f5' d='M8 1h1m5 3h1M2 12h1'/%3E%3Cpath stroke='%233e73f5' d='M9 1h2'/%3E%3Cpath stroke='%233b71f5' d='M11 1h2'/%3E%3Cpath stroke='%23336cf4' d='M13 1h2'/%3E%3Cpath stroke='%23306af4' d='M15 1h1'/%3E%3Cpath stroke='%232864f4' d='M16 1h1'/%3E%3Cpath stroke='%231f5def' d='M17 1h1'/%3E%3Cpath stroke='%233467e0' d='M18 1h1'/%3E%3Cpath stroke='%23d2dbf2' d='M19 1h1'/%3E%3Cpath stroke='%23769cf8' d='M1 2h1'/%3E%3Cpath stroke='%2390aff9' d='M2 2h1'/%3E%3Cpath stroke='%2394b2f9' d='M3 2h1'/%3E%3Cpath stroke='%2385a7f8' d='M4 2h1'/%3E%3Cpath stroke='%23759cf8' d='M5 2h1'/%3E%3Cpath stroke='%236e97f8' d='M6 2h1M2 6h1'/%3E%3Cpath stroke='%236892f7' d='M7 2h1'/%3E%3Cpath stroke='%236690f7' d='M8 2h1'/%3E%3Cpath stroke='%23628ef7' d='M9 2h1m0 1h1'/%3E%3Cpath stroke='%235f8cf7' d='M10 2h1'/%3E%3Cpath stroke='%235e8bf7' d='M11 2h1'/%3E%3Cpath stroke='%235988f6' d='M12 2h1'/%3E%3Cpath stroke='%235685f6' d='M13 2h1'/%3E%3Cpath stroke='%235082f6' d='M14 2h1'/%3E%3Cpath stroke='%23497cf5' d='M15 2h1'/%3E%3Cpath stroke='%233f75f5' d='M16 2h1m-2 2h1'/%3E%3Cpath stroke='%23326bf2' d='M17 2h1'/%3E%3Cpath stroke='%23235ce3' d='M18 2h1'/%3E%3Cpath stroke='%23305cc5' d='M19 2h1'/%3E%3Cpath stroke='%236590f7' d='M1 3h1'/%3E%3Cpath stroke='%2397b4f9' d='M2 3h1'/%3E%3Cpath stroke='%239ab7fa' d='M3 3h1'/%3E%3Cpath stroke='%2389aaf9' d='M4 3h1M2 4h1'/%3E%3Cpath stroke='%237aa0f8' d='M5 3h1'/%3E%3Cpath stroke='%23729af8' d='M6 3h1'/%3E%3Cpath stroke='%236d95f8' d='M7 3h1'/%3E%3Cpath stroke='%236892f8' d='M8 3h1M2 7h1'/%3E%3Cpath stroke='%23658ff7' d='M9 3h1'/%3E%3Cpath stroke='%23618df7' d='M11 3h1'/%3E%3Cpath stroke='%235d8af7' d='M12 3h1M3 9h1'/%3E%3Cpath stroke='%235987f6' d='M13 3h1M2 9h1'/%3E%3Cpath stroke='%235283f6' d='M14 3h1'/%3E%3Cpath stroke='%234c7ef6' d='M15 3h1M5 14h1'/%3E%3Cpath stroke='%234377f5' d='M16 3h1'/%3E%3Cpath stroke='%23376ef2' d='M17 3h1'/%3E%3Cpath stroke='%23285fe3' d='M18 3h1'/%3E%3Cpath stroke='%231546b9' d='M19 3h1'/%3E%3Cpath stroke='%235886f6' d='M1 4h1'/%3E%3Cpath stroke='%238dadf9' d='M3 4h1'/%3E%3Cpath stroke='%237fa3f8' d='M4 4h1'/%3E%3Cpath stroke='%237199f8' d='M5 4h1M4 5h1'/%3E%3Cpath stroke='%236a93f8' d='M6 4h1M4 6h1M3 7h1'/%3E%3Cpath stroke='%2392aff9' d='M7 4h1'/%3E%3Cpath stroke='%23e1e9fd' d='M8 4h1'/%3E%3Cpath stroke='%23e0e8fd' d='M12 4h1'/%3E%3Cpath stroke='%2381a4f8' d='M13 4h1'/%3E%3Cpath stroke='%233a72f4' d='M16 4h1'/%3E%3Cpath stroke='%23346cf2' d='M17 4h1'/%3E%3Cpath stroke='%232a61e3' d='M18 4h1'/%3E%3Cpath stroke='%231848bb' d='M19 4h1'/%3E%3Cpath stroke='%235282f6' d='M1 5h1m4 6h1m-3 1h1'/%3E%3Cpath stroke='%23799ff8' d='M2 5h1'/%3E%3Cpath stroke='%237ca1f8' d='M3 5h1'/%3E%3Cpath stroke='%236791f8' d='M5 5h1'/%3E%3Cpath stroke='%238eacf9' d='M6 5h1'/%3E%3Cpath stroke='%23f3f6fe' d='M7 5h1'/%3E%3Cpath stroke='%23d8e2fd' d='M9 5h1'/%3E%3Cpath stroke='%23cfdcfc' d='M10 5h1'/%3E%3Cpath stroke='%23ecf1fe' d='M11 5h1'/%3E%3Cpath stroke='%23eff4fe' d='M13 5h1'/%3E%3Cpath stroke='%23749af7' d='M14 5h1'/%3E%3Cpath stroke='%23326cf4' d='M15 5h1'/%3E%3Cpath stroke='%23316bf4' d='M16 5h1M3 16h1'/%3E%3Cpath stroke='%233069f1' d='M17 5h1'/%3E%3Cpath stroke='%232c62e4' d='M18 5h1'/%3E%3Cpath stroke='%231d4cbc' d='M19 5h1m-1 1h1'/%3E%3Cpath stroke='%237099f8' d='M3 6h1'/%3E%3Cpath stroke='%23628cf8' d='M5 6h1'/%3E%3Cpath stroke='%23d3dffd' d='M6 6h1'/%3E%3Cpath stroke='%23b2c6fb' d='M8 6h1'/%3E%3Cpath stroke='%234777f6' d='M9 6h1'/%3E%3Cpath stroke='%234072f5' d='M10 6h1'/%3E%3Cpath stroke='%234a7bf6' d='M11 6h1'/%3E%3Cpath stroke='%23c8d7fc' d='M12 6h1'/%3E%3Cpath stroke='%23c6d6fc' d='M14 6h1'/%3E%3Cpath stroke='%232c69f5' d='M15 6h1'/%3E%3Cpath stroke='%232d69f5' d='M16 6h1'/%3E%3Cpath stroke='%232e69f2' d='M17 6h1'/%3E%3Cpath stroke='%232c63e5' d='M18 6h1'/%3E%3Cpath stroke='%234679f5' d='M1 7h1M1 8h1'/%3E%3Cpath stroke='%23658ff8' d='M4 7h1'/%3E%3Cpath stroke='%235e89f7' d='M5 7h1'/%3E%3Cpath stroke='%23e6edfe' d='M6 7h1'/%3E%3Cpath stroke='%23e5ecfe' d='M7 7h1'/%3E%3Cpath stroke='%235a85f7' d='M8 7h1'/%3E%3Cpath stroke='%234375f5' d='M9 7h1'/%3E%3Cpath stroke='%233d71f5' d='M10 7h1'/%3E%3Cpath stroke='%23366ef4' d='M11 7h1M2 14h1'/%3E%3Cpath stroke='%236c97f8' d='M12 7h1'/%3E%3Cpath stroke='%23cfddfd' d='M14 7h1'/%3E%3Cpath stroke='%232766f5' d='M15 7h1'/%3E%3Cpath stroke='%232a68f5' d='M16 7h1'/%3E%3Cpath stroke='%232c69f2' d='M17 7h1'/%3E%3Cpath stroke='%232a62e4' d='M18 7h1'/%3E%3Cpath stroke='%231c4cbd' d='M19 7h1'/%3E%3Cpath stroke='%23628df8' d='M3 8h1'/%3E%3Cpath stroke='%23608bf7' d='M4 8h1'/%3E%3Cpath stroke='%235b87f7' d='M5 8h1'/%3E%3Cpath stroke='%235482f7' d='M6 8h1'/%3E%3Cpath stroke='%234e7cf6' d='M7 8h1'/%3E%3Cpath stroke='%234778f6' d='M8 8h1'/%3E%3Cpath stroke='%234174f5' d='M9 8h1'/%3E%3Cpath stroke='%233a71f5' d='M10 8h1'/%3E%3Cpath stroke='%23346ef4' d='M11 8h1'/%3E%3Cpath stroke='%2385a9f9' d='M12 8h1'/%3E%3Cpath stroke='%23cbdbfd' d='M14 8h1'/%3E%3Cpath stroke='%232266f5' d='M15 8h1'/%3E%3Cpath stroke='%232567f5' d='M16 8h1'/%3E%3Cpath stroke='%232968f2' d='M17 8h1'/%3E%3Cpath stroke='%232963e4' d='M18 8h1'/%3E%3Cpath stroke='%231b4bbd' d='M19 8h1'/%3E%3Cpath stroke='%233c72f4' d='M1 9h1'/%3E%3Cpath stroke='%235d89f7' d='M4 9h1'/%3E%3Cpath stroke='%235986f7' d='M5 9h1m-2 1h1'/%3E%3Cpath stroke='%235381f6' d='M6 9h1'/%3E%3Cpath stroke='%234e7ef6' d='M7 9h1'/%3E%3Cpath stroke='%23477af5' d='M8 9h1'/%3E%3Cpath stroke='%234178f5' d='M9 9h1'/%3E%3Cpath stroke='%233a74f5' d='M10 9h1'/%3E%3Cpath stroke='%2396b6fa' d='M11 9h1'/%3E%3Cpath stroke='%23f2f6fe' d='M12 9h1'/%3E%3Cpath stroke='%2393b6fb' d='M14 9h1'/%3E%3Cpath stroke='%232069f6' d='M15 9h1'/%3E%3Cpath stroke='%232268f5' d='M16 9h1'/%3E%3Cpath stroke='%232569f2' d='M17 9h1'/%3E%3Cpath stroke='%232562e6' d='M18 9h1'/%3E%3Cpath stroke='%23194bbe' d='M19 9h1'/%3E%3Cpath stroke='%23376ef4' d='M1 10h1'/%3E%3Cpath stroke='%235181f6' d='M2 10h1'/%3E%3Cpath stroke='%235785f7' d='M3 10h1m1 0h1'/%3E%3Cpath stroke='%235281f6' d='M6 10h1'/%3E%3Cpath stroke='%23477bf6' d='M8 10h1'/%3E%3Cpath stroke='%234e82f7' d='M9 10h1'/%3E%3Cpath stroke='%23cadafc' d='M10 10h1'/%3E%3Cpath stroke='%23a0c0fb' d='M13 10h1'/%3E%3Cpath stroke='%232a72f6' d='M14 10h1'/%3E%3Cpath stroke='%231e6bf6' d='M15 10h1'/%3E%3Cpath stroke='%231f6af6' d='M16 10h1'/%3E%3Cpath stroke='%23216af3' d='M17 10h1'/%3E%3Cpath stroke='%232162e6' d='M18 10h1'/%3E%3Cpath stroke='%231649be' d='M19 10h1'/%3E%3Cpath stroke='%23326bf4' d='M1 11h1'/%3E%3Cpath stroke='%234b7df5' d='M2 11h1'/%3E%3Cpath stroke='%235483f6' d='M3 11h1'/%3E%3Cpath stroke='%235684f7' d='M4 11h1'/%3E%3Cpath stroke='%235583f7' d='M5 11h1'/%3E%3Cpath stroke='%234d80f6' d='M7 11h1'/%3E%3Cpath stroke='%23487df6' d='M8 11h1'/%3E%3Cpath stroke='%23bcd1fc' d='M9 11h1'/%3E%3Cpath stroke='%23dde8fd' d='M11 11h1'/%3E%3Cpath stroke='%235f97f8' d='M12 11h1'/%3E%3Cpath stroke='%232673f7' d='M13 11h1'/%3E%3Cpath stroke='%232171f7' d='M14 11h1'/%3E%3Cpath stroke='%231c6ff6' d='M15 11h1'/%3E%3Cpath stroke='%231c6df6' d='M16 11h1'/%3E%3Cpath stroke='%231c6af4' d='M17 11h1'/%3E%3Cpath stroke='%231c61e6' d='M18 11h1'/%3E%3Cpath stroke='%231248bf' d='M19 11h1'/%3E%3Cpath stroke='%232b66f4' d='M1 12h1'/%3E%3Cpath stroke='%234e7ff6' d='M3 12h1'/%3E%3Cpath stroke='%235383f6' d='M5 12h1'/%3E%3Cpath stroke='%235182f6' d='M6 12h1'/%3E%3Cpath stroke='%234d81f7' d='M7 12h1'/%3E%3Cpath stroke='%23487ff6' d='M8 12h1'/%3E%3Cpath stroke='%23dfe9fd' d='M9 12h1'/%3E%3Cpath stroke='%234687f7' d='M11 12h1'/%3E%3Cpath stroke='%232d7af7' d='M12 12h1'/%3E%3Cpath stroke='%232677f7' d='M13 12h1'/%3E%3Cpath stroke='%232174f7' d='M14 12h1'/%3E%3Cpath stroke='%231b71f7' d='M15 12h1'/%3E%3Cpath stroke='%23186ef7' d='M16 12h1'/%3E%3Cpath stroke='%23186af4' d='M17 12h1'/%3E%3Cpath stroke='%23165fe7' d='M18 12h1'/%3E%3Cpath stroke='%230f47c0' d='M19 12h1'/%3E%3Cpath stroke='%232562f3' d='M1 13h1'/%3E%3Cpath stroke='%233d73f4' d='M2 13h1'/%3E%3Cpath stroke='%23487bf5' d='M3 13h1'/%3E%3Cpath stroke='%234e80f6' d='M4 13h1'/%3E%3Cpath stroke='%235081f6' d='M5 13h1'/%3E%3Cpath stroke='%234e81f6' d='M6 13h1'/%3E%3Cpath stroke='%234b80f6' d='M7 13h1'/%3E%3Cpath stroke='%23477ff6' d='M8 13h1'/%3E%3Cpath stroke='%23d2e0fd' d='M9 13h1'/%3E%3Cpath stroke='%23edf3fe' d='M10 13h1'/%3E%3Cpath stroke='%23367ff7' d='M11 13h1'/%3E%3Cpath stroke='%232d7cf7' d='M12 13h1'/%3E%3Cpath stroke='%232679f8' d='M13 13h1'/%3E%3Cpath stroke='%232077f7' d='M14 13h1'/%3E%3Cpath stroke='%231973f7' d='M15 13h1'/%3E%3Cpath stroke='%23166ff7' d='M16 13h1'/%3E%3Cpath stroke='%231369f4' d='M17 13h1'/%3E%3Cpath stroke='%23105de8' d='M18 13h1'/%3E%3Cpath stroke='%230a44bf' d='M19 13h1'/%3E%3Cpath stroke='%231e5df3' d='M1 14h1'/%3E%3Cpath stroke='%23497bf5' d='M4 14h1'/%3E%3Cpath stroke='%234a7ef7' d='M6 14h1'/%3E%3Cpath stroke='%23487ef6' d='M7 14h1'/%3E%3Cpath stroke='%23457ff6' d='M8 14h1'/%3E%3Cpath stroke='%234180f6' d='M9 14h1'/%3E%3Cpath stroke='%233b7ff6' d='M10 14h1'/%3E%3Cpath stroke='%23357ff7' d='M11 14h1'/%3E%3Cpath stroke='%232d7df7' d='M12 14h1'/%3E%3Cpath stroke='%23257af8' d='M13 14h1'/%3E%3Cpath stroke='%231e77f8' d='M14 14h1'/%3E%3Cpath stroke='%231773f8' d='M15 14h1'/%3E%3Cpath stroke='%23116df7' d='M16 14h1'/%3E%3Cpath stroke='%230d66f4' d='M17 14h1m-3 3h1'/%3E%3Cpath stroke='%230b59e7' d='M18 14h1'/%3E%3Cpath stroke='%230641c0' d='M19 14h1m-6 5h1'/%3E%3Cpath stroke='%231859f3' d='M1 15h1'/%3E%3Cpath stroke='%232e68f4' d='M2 15h1'/%3E%3Cpath stroke='%233a71f4' d='M3 15h1'/%3E%3Cpath stroke='%234277f5' d='M4 15h1'/%3E%3Cpath stroke='%23467af5' d='M5 15h1'/%3E%3Cpath stroke='%23457af6' d='M6 15h1'/%3E%3Cpath stroke='%23437bf6' d='M7 15h1'/%3E%3Cpath stroke='%23417cf6' d='M8 15h1'/%3E%3Cpath stroke='%23cbdcfd' d='M9 15h1'/%3E%3Cpath stroke='%23327df7' d='M11 15h1'/%3E%3Cpath stroke='%232a7cf8' d='M12 15h1'/%3E%3Cpath stroke='%23247af8' d='M13 15h1'/%3E%3Cpath stroke='%231d77f8' d='M14 15h1'/%3E%3Cpath stroke='%231573f8' d='M15 15h1'/%3E%3Cpath stroke='%230e6cf8' d='M16 15h1'/%3E%3Cpath stroke='%230963f4' d='M17 15h1'/%3E%3Cpath stroke='%230556e7' d='M18 15h1'/%3E%3Cpath stroke='%23023fbf' d='M19 15h1'/%3E%3Cpath stroke='%231456f3' d='M1 16h1'/%3E%3Cpath stroke='%232562f4' d='M2 16h1'/%3E%3Cpath stroke='%233971f4' d='M4 16h1'/%3E%3Cpath stroke='%233d74f5' d='M5 16h1'/%3E%3Cpath stroke='%233d74f6' d='M6 16h1'/%3E%3Cpath stroke='%233b75f5' d='M7 16h1'/%3E%3Cpath stroke='%233976f5' d='M8 16h1'/%3E%3Cpath stroke='%23f5f8fe' d='M9 16h1'/%3E%3Cpath stroke='%232c78f7' d='M11 16h1'/%3E%3Cpath stroke='%232577f7' d='M12 16h1'/%3E%3Cpath stroke='%231f76f7' d='M13 16h1'/%3E%3Cpath stroke='%231972f7' d='M14 16h1'/%3E%3Cpath stroke='%23116ef8' d='M15 16h1'/%3E%3Cpath stroke='%230b68f7' d='M16 16h1'/%3E%3Cpath stroke='%230560f4' d='M17 16h1'/%3E%3Cpath stroke='%230253e6' d='M18 16h1'/%3E%3Cpath stroke='%23013dbe' d='M19 16h1'/%3E%3Cpath stroke='%230e50ed' d='M1 17h1'/%3E%3Cpath stroke='%231c5bef' d='M2 17h1'/%3E%3Cpath stroke='%232863f0' d='M3 17h1'/%3E%3Cpath stroke='%232f68f0' d='M4 17h1'/%3E%3Cpath stroke='%23336bf1' d='M5 17h1'/%3E%3Cpath stroke='%23346cf1' d='M6 17h1'/%3E%3Cpath stroke='%23316cf2' d='M7 17h1'/%3E%3Cpath stroke='%23316df2' d='M8 17h1'/%3E%3Cpath stroke='%232e6ff2' d='M9 17h1'/%3E%3Cpath stroke='%232a70f2' d='M10 17h1'/%3E%3Cpath stroke='%232570f3' d='M11 17h1'/%3E%3Cpath stroke='%231f6ff3' d='M12 17h1'/%3E%3Cpath stroke='%23196df4' d='M13 17h1'/%3E%3Cpath stroke='%23136af4' d='M14 17h1'/%3E%3Cpath stroke='%230760f3' d='M16 17h1'/%3E%3Cpath stroke='%23025af0' d='M17 17h1'/%3E%3Cpath stroke='%23004de2' d='M18 17h1'/%3E%3Cpath stroke='%23003ab9' d='M19 17h1'/%3E%3Cpath stroke='%23285edf' d='M1 18h1'/%3E%3Cpath stroke='%23134fdf' d='M2 18h1'/%3E%3Cpath stroke='%231b55df' d='M3 18h1'/%3E%3Cpath stroke='%23215ae2' d='M4 18h1'/%3E%3Cpath stroke='%23255ce1' d='M5 18h1'/%3E%3Cpath stroke='%23265de0' d='M6 18h1'/%3E%3Cpath stroke='%23245ce1' d='M7 18h1'/%3E%3Cpath stroke='%23235ee2' d='M8 18h1'/%3E%3Cpath stroke='%23215ee2' d='M9 18h1'/%3E%3Cpath stroke='%231e5ee2' d='M10 18h1'/%3E%3Cpath stroke='%231b5fe5' d='M11 18h1'/%3E%3Cpath stroke='%23165ee5' d='M12 18h1'/%3E%3Cpath stroke='%23135de6' d='M13 18h1'/%3E%3Cpath stroke='%230e5be5' d='M14 18h1'/%3E%3Cpath stroke='%230958e6' d='M15 18h1'/%3E%3Cpath stroke='%230454e6' d='M16 18h1'/%3E%3Cpath stroke='%23014ee2' d='M17 18h1'/%3E%3Cpath stroke='%230045d3' d='M18 18h1'/%3E%3Cpath stroke='%231f4eb8' d='M19 18h1'/%3E%3Cpath stroke='%23d0daf1' d='M1 19h1'/%3E%3Cpath stroke='%232856c3' d='M2 19h1'/%3E%3Cpath stroke='%230d3fb6' d='M3 19h1'/%3E%3Cpath stroke='%231144bd' d='M4 19h1'/%3E%3Cpath stroke='%231245bb' d='M5 19h1'/%3E%3Cpath stroke='%231445b9' d='M6 19h1'/%3E%3Cpath stroke='%231244b9' d='M7 19h1'/%3E%3Cpath stroke='%231345bc' d='M8 19h1'/%3E%3Cpath stroke='%231346bd' d='M9 19h1'/%3E%3Cpath stroke='%231045be' d='M10 19h1'/%3E%3Cpath stroke='%230d45c0' d='M11 19h1'/%3E%3Cpath stroke='%230a45c1' d='M12 19h1'/%3E%3Cpath stroke='%230844c3' d='M13 19h1'/%3E%3Cpath stroke='%23033fc0' d='M15 19h1'/%3E%3Cpath stroke='%23013fc3' d='M16 19h1'/%3E%3Cpath stroke='%23003bbe' d='M17 19h1'/%3E%3Cpath stroke='%231f4eb9' d='M18 19h1'/%3E%3Cpath stroke='%23cfd8ed' d='M19 19h1'/%3E%3C/svg%3E")
			}
			
			.title-bar-controls button[aria-label=Help]: hover{
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 21 21' shape-rendering='crispEdges'%3E%3Cpath stroke='%2393b1ee' d='M1 0h1'/%3E%3Cpath stroke='%23f3f6fd' d='M2 0h1m17 2h1M0 18h1m17 2h1'/%3E%3Cpath stroke='%23fff' d='M3 0h15M0 3h1m19 0h1M0 4h1m8 0h3m8 0h1M0 5h1m7 0h1m3 0h1m7 0h1M0 6h1m6 0h1m5 0h1m6 0h1M0 7h1m12 0h1m6 0h1M0 8h1m12 0h1m6 0h1M0 9h1m12 0h1m6 0h1M0 10h1m10 0h2m7 0h1M0 11h1m9 0h1m9 0h1M0 12h1m9 0h1m9 0h1M0 13h1m19 0h1M0 14h1m19 0h1M0 15h1m9 0h1m9 0h1M0 16h1m9 0h1m9 0h1M0 17h1m19 0h1M3 20h15'/%3E%3Cpath stroke='%23f5f7fd' d='M18 0h1M0 2h1m19 16h1M2 20h1'/%3E%3Cpath stroke='%2393b1ed' d='M19 0h1M0 1h1'/%3E%3Cpath stroke='%23dce7ff' d='M1 1h1'/%3E%3Cpath stroke='%2372a1ff' d='M2 1h1m2 5h1'/%3E%3Cpath stroke='%236a9cff' d='M3 1h1'/%3E%3Cpath stroke='%235f94ff' d='M4 1h1M4 11h2'/%3E%3Cpath stroke='%23558eff' d='M5 1h1M3 12h1'/%3E%3Cpath stroke='%23518bff' d='M6 1h1'/%3E%3Cpath stroke='%234a86ff' d='M7 1h1'/%3E%3Cpath stroke='%234b87ff' d='M8 1h1M2 12h1'/%3E%3Cpath stroke='%234684ff' d='M9 1h2'/%3E%3Cpath stroke='%234482ff' d='M11 1h1m4 1h1M1 9h1m0 4h1'/%3E%3Cpath stroke='%234080ff' d='M12 1h1M3 15h1'/%3E%3Cpath stroke='%233b7cff' d='M13 1h1'/%3E%3Cpath stroke='%233a7bff' d='M14 1h1'/%3E%3Cpath stroke='%233678ff' d='M15 1h1'/%3E%3Cpath stroke='%232e73ff' d='M16 1h1'/%3E%3Cpath stroke='%23276cf9' d='M17 1h1'/%3E%3Cpath stroke='%233a73e7' d='M18 1h1'/%3E%3Cpath stroke='%23d3ddf3' d='M19 1h1'/%3E%3Cpath stroke='%2393b0ed' d='M20 1h1'/%3E%3Cpath stroke='%2373a1ff' d='M1 2h1'/%3E%3Cpath stroke='%2397b9ff' d='M2 2h1'/%3E%3Cpath stroke='%239cbdff' d='M3 2h1'/%3E%3Cpath stroke='%2390b5ff' d='M4 2h1'/%3E%3Cpath stroke='%2382acff' d='M5 2h1M5 4h1'/%3E%3Cpath stroke='%237ba7ff' d='M6 2h1M2 6h1'/%3E%3Cpath stroke='%2375a3ff' d='M7 2h1'/%3E%3Cpath stroke='%236f9fff' d='M8 2h1M3 8h1'/%3E%3Cpath stroke='%236c9dff' d='M9 2h1M1 3h1'/%3E%3Cpath stroke='%23689bff' d='M10 2h1M5 8h1M3 9h1'/%3E%3Cpath stroke='%236599ff' d='M11 2h1m0 1h1M5 9h1'/%3E%3Cpath stroke='%236095ff' d='M12 2h1m0 1h1'/%3E%3Cpath stroke='%235d93ff' d='M13 2h1'/%3E%3Cpath stroke='%23568eff' d='M14 2h1'/%3E%3Cpath stroke='%234f8aff' d='M15 2h1M3 13h1m0 1h1'/%3E%3Cpath stroke='%233878fb' d='M17 2h1'/%3E%3Cpath stroke='%232969eb' d='M18 2h1'/%3E%3Cpath stroke='%233566cb' d='M19 2h1'/%3E%3Cpath stroke='%239ebeff' d='M2 3h1'/%3E%3Cpath stroke='%23a4c2ff' d='M3 3h1'/%3E%3Cpath stroke='%2399baff' d='M4 3h1M3 4h1'/%3E%3Cpath stroke='%238ab0ff' d='M5 3h1'/%3E%3Cpath stroke='%2382abff' d='M6 3h1'/%3E%3Cpath stroke='%2379a6ff' d='M7 3h1'/%3E%3Cpath stroke='%2374a3ff' d='M8 3h1'/%3E%3Cpath stroke='%2371a0ff' d='M9 3h1'/%3E%3Cpath stroke='%236d9eff' d='M10 3h1M5 7h1M4 8h1'/%3E%3Cpath stroke='%23699bff' d='M11 3h1'/%3E%3Cpath stroke='%235a91ff' d='M14 3h1M2 10h1m1 2h1'/%3E%3Cpath stroke='%23538cff' d='M15 3h1M2 11h1'/%3E%3Cpath stroke='%234986ff' d='M16 3h1'/%3E%3Cpath stroke='%233d7cfc' d='M17 3h1'/%3E%3Cpath stroke='%232e6cea' d='M18 3h1'/%3E%3Cpath stroke='%231b52c2' d='M19 3h1'/%3E%3Cpath stroke='%236296ff' d='M1 4h1'/%3E%3Cpath stroke='%2391b5ff' d='M2 4h1'/%3E%3Cpath stroke='%238fb4ff' d='M4 4h1'/%3E%3Cpath stroke='%237aa6ff' d='M6 4h1m7 1h1'/%3E%3Cpath stroke='%239bbdff' d='M7 4h1'/%3E%3Cpath stroke='%23e3edff' d='M8 4h1'/%3E%3Cpath stroke='%23e1ebff' d='M12 4h1'/%3E%3Cpath stroke='%2387afff' d='M13 4h1'/%3E%3Cpath stroke='%234c88ff' d='M14 4h1m-5 2h1m-6 9h1'/%3E%3Cpath stroke='%234785ff' d='M15 4h1'/%3E%3Cpath stroke='%234280ff' d='M16 4h1'/%3E%3Cpath stroke='%233b7afb' d='M17 4h1'/%3E%3Cpath stroke='%23316fec' d='M18 4h1'/%3E%3Cpath stroke='%231f55c3' d='M19 4h1'/%3E%3Cpath stroke='%235990ff' d='M1 5h1'/%3E%3Cpath stroke='%2385adff' d='M2 5h1'/%3E%3Cpath stroke='%238bb1ff' d='M3 5h1'/%3E%3Cpath stroke='%2384acff' d='M4 5h1'/%3E%3Cpath stroke='%2378a5ff' d='M5 5h1'/%3E%3Cpath stroke='%239bf' d='M6 5h1'/%3E%3Cpath stroke='%23f4f7ff' d='M7 5h1'/%3E%3Cpath stroke='%23dbe7ff' d='M9 5h1'/%3E%3Cpath stroke='%23d2e1ff' d='M10 5h1'/%3E%3Cpath stroke='%23edf3ff' d='M11 5h1'/%3E%3Cpath stroke='%23f0f5ff' d='M13 5h1'/%3E%3Cpath stroke='%233b7bff' d='M15 5h1'/%3E%3Cpath stroke='%23397aff' d='M16 5h1M1 11h1'/%3E%3Cpath stroke='%233979fc' d='M17 5h1'/%3E%3Cpath stroke='%233370ec' d='M18 5h1m-1 1h1'/%3E%3Cpath stroke='%232357c3' d='M19 5h1'/%3E%3Cpath stroke='%23548dff' d='M1 6h1m2 7h1'/%3E%3Cpath stroke='%2381aaff' d='M3 6h1'/%3E%3Cpath stroke='%237aa7ff' d='M4 6h1'/%3E%3Cpath stroke='%23d8e5ff' d='M6 6h1'/%3E%3Cpath stroke='%23b9d0ff' d='M8 6h1'/%3E%3Cpath stroke='%23548eff' d='M9 6h1'/%3E%3Cpath stroke='%23538dff' d='M11 6h1'/%3E%3Cpath stroke='%23cbdcff' d='M12 6h1'/%3E%3Cpath stroke='%23c9dbff' d='M14 6h1'/%3E%3Cpath stroke='%233579ff' d='M15 6h1'/%3E%3Cpath stroke='%233679ff' d='M16 6h1'/%3E%3Cpath stroke='%233879fc' d='M17 6h1'/%3E%3Cpath stroke='%232358c5' d='M19 6h1'/%3E%3Cpath stroke='%234e89ff' d='M1 7h1'/%3E%3Cpath stroke='%2371a1ff' d='M2 7h1'/%3E%3Cpath stroke='%2377a5ff' d='M3 7h1'/%3E%3Cpath stroke='%2374a2ff' d='M4 7h1'/%3E%3Cpath stroke='%23e8f0ff' d='M6 7h1'/%3E%3Cpath stroke='%23e7efff' d='M7 7h1'/%3E%3Cpath stroke='%23679aff' d='M8 7h1'/%3E%3Cpath stroke='%23508dff' d='M9 7h1'/%3E%3Cpath stroke='%234989ff' d='M10 7h1'/%3E%3Cpath stroke='%234183ff' d='M11 7h1'/%3E%3Cpath stroke='%2374a5ff' d='M12 7h1'/%3E%3Cpath stroke='%23d1e1ff' d='M14 7h1'/%3E%3Cpath stroke='%23317aff' d='M15 7h1'/%3E%3Cpath stroke='%23337aff' d='M16 7h1'/%3E%3Cpath stroke='%23367bfc' d='M17 7h1'/%3E%3Cpath stroke='%233372ed' d='M18 7h1'/%3E%3Cpath stroke='%232359c5' d='M19 7h1'/%3E%3Cpath stroke='%234d88ff' d='M1 8h1'/%3E%3Cpath stroke='%23699cff' d='M2 8h1'/%3E%3Cpath stroke='%236398ff' d='M6 8h1'/%3E%3Cpath stroke='%235c93ff' d='M7 8h1m-2 3h1'/%3E%3Cpath stroke='%23548fff' d='M8 8h1'/%3E%3Cpath stroke='%234d8cff' d='M9 8h1'/%3E%3Cpath stroke='%23468aff' d='M10 8h1'/%3E%3Cpath stroke='%233f86ff' d='M11 8h1'/%3E%3Cpath stroke='%238cb7ff' d='M12 8h1'/%3E%3Cpath stroke='%23cde0ff' d='M14 8h1'/%3E%3Cpath stroke='%232f7fff' d='M15 8h1'/%3E%3Cpath stroke='%233280ff' d='M16 8h1'/%3E%3Cpath stroke='%233580fc' d='M17 8h1'/%3E%3Cpath stroke='%233276ed' d='M18 8h1'/%3E%3Cpath stroke='%23235ac6' d='M19 8h1'/%3E%3Cpath stroke='%236196ff' d='M2 9h1m3 0h1m-4 1h1'/%3E%3Cpath stroke='%23689aff' d='M4 9h1'/%3E%3Cpath stroke='%235b93ff' d='M7 9h1'/%3E%3Cpath stroke='%235491ff' d='M8 9h1'/%3E%3Cpath stroke='%234f90ff' d='M9 9h1'/%3E%3Cpath stroke='%234890ff' d='M10 9h1'/%3E%3Cpath stroke='%239dc5ff' d='M11 9h1'/%3E%3Cpath stroke='%23f3f8ff' d='M12 9h1'/%3E%3Cpath stroke='%239ac5ff' d='M14 9h1'/%3E%3Cpath stroke='%232f88ff' d='M15 9h1'/%3E%3Cpath stroke='%233188ff' d='M16 9h1'/%3E%3Cpath stroke='%233385fc' d='M17 9h1'/%3E%3Cpath stroke='%233079ed' d='M18 9h1'/%3E%3Cpath stroke='%23215cc8' d='M19 9h1'/%3E%3Cpath stroke='%233f7fff' d='M1 10h1'/%3E%3Cpath stroke='%236397ff' d='M4 10h1'/%3E%3Cpath stroke='%236297ff' d='M5 10h1'/%3E%3Cpath stroke='%235f95ff' d='M6 10h1'/%3E%3Cpath stroke='%235993ff' d='M7 10h1'/%3E%3Cpath stroke='%235492ff' d='M8 10h1'/%3E%3Cpath stroke='%235c9aff' d='M9 10h1'/%3E%3Cpath stroke='%23cee2ff' d='M10 10h1'/%3E%3Cpath stroke='%23a7d0ff' d='M13 10h1'/%3E%3Cpath stroke='%233897ff' d='M14 10h1'/%3E%3Cpath stroke='%232f92ff' d='M15 10h1'/%3E%3Cpath stroke='%233090ff' d='M16 10h1'/%3E%3Cpath stroke='%23328cfc' d='M17 10h1'/%3E%3Cpath stroke='%232e7def' d='M18 10h1'/%3E%3Cpath stroke='%231e5dc9' d='M19 10h1'/%3E%3Cpath stroke='%235c92ff' d='M3 11h1m1 1h1'/%3E%3Cpath stroke='%235792ff' d='M7 11h1m-1 1h1'/%3E%3Cpath stroke='%235594ff' d='M8 11h1'/%3E%3Cpath stroke='%23c2dbff' d='M9 11h1'/%3E%3Cpath stroke='%23e0efff' d='M11 11h1'/%3E%3Cpath stroke='%236eb6ff' d='M12 11h1'/%3E%3Cpath stroke='%23379fff' d='M13 11h1'/%3E%3Cpath stroke='%23339dff' d='M14 11h1'/%3E%3Cpath stroke='%232f9bff' d='M15 11h1'/%3E%3Cpath stroke='%232e97ff' d='M16 11h1'/%3E%3Cpath stroke='%232e91fc' d='M17 11h1'/%3E%3Cpath stroke='%232a80f0' d='M18 11h1'/%3E%3Cpath stroke='%231b5dcb' d='M19 11h1'/%3E%3Cpath stroke='%233275ff' d='M1 12h1'/%3E%3Cpath stroke='%235991ff' d='M6 12h1'/%3E%3Cpath stroke='%235596ff' d='M8 12h1'/%3E%3Cpath stroke='%23e2eeff' d='M9 12h1'/%3E%3Cpath stroke='%2359adff' d='M11 12h1'/%3E%3Cpath stroke='%2342a9ff' d='M12 12h1'/%3E%3Cpath stroke='%233aa9ff' d='M13 12h1'/%3E%3Cpath stroke='%2334a7ff' d='M14 12h1'/%3E%3Cpath stroke='%2330a5ff' d='M15 12h1'/%3E%3Cpath stroke='%232ca0ff' d='M16 12h1'/%3E%3Cpath stroke='%232a96fd' d='M17 12h1'/%3E%3Cpath stroke='%232581f1' d='M18 12h1'/%3E%3Cpath stroke='%23185dcc' d='M19 12h1'/%3E%3Cpath stroke='%232d72ff' d='M1 13h1m0 3h1'/%3E%3Cpath stroke='%235790ff' d='M5 13h2'/%3E%3Cpath stroke='%235490ff' d='M7 13h1'/%3E%3Cpath stroke='%235597ff' d='M8 13h1'/%3E%3Cpath stroke='%23d6e8ff' d='M9 13h1'/%3E%3Cpath stroke='%23eef6ff' d='M10 13h1'/%3E%3Cpath stroke='%234aaaff' d='M11 13h1'/%3E%3Cpath stroke='%2344afff' d='M12 13h1'/%3E%3Cpath stroke='%233eb1ff' d='M13 13h1'/%3E%3Cpath stroke='%2337afff' d='M14 13h1'/%3E%3Cpath stroke='%232fabff' d='M15 13h1'/%3E%3Cpath stroke='%2329a4ff' d='M16 13h1'/%3E%3Cpath stroke='%232599fd' d='M17 13h1'/%3E%3Cpath stroke='%231e80f2' d='M18 13h1'/%3E%3Cpath stroke='%23145bcd' d='M19 13h1'/%3E%3Cpath stroke='%23276eff' d='M1 14h1'/%3E%3Cpath stroke='%233d7dff' d='M2 14h1'/%3E%3Cpath stroke='%234985ff' d='M3 14h1'/%3E%3Cpath stroke='%23528cff' d='M5 14h1'/%3E%3Cpath stroke='%23528dff' d='M6 14h1'/%3E%3Cpath stroke='%23518fff' d='M7 14h1'/%3E%3Cpath stroke='%235196ff' d='M8 14h1'/%3E%3Cpath stroke='%23509fff' d='M9 14h1'/%3E%3Cpath stroke='%234ea6ff' d='M10 14h1'/%3E%3Cpath stroke='%2349acff' d='M11 14h1'/%3E%3Cpath stroke='%2343b1ff' d='M12 14h1'/%3E%3Cpath stroke='%233eb4ff' d='M13 14h1'/%3E%3Cpath stroke='%2335b2ff' d='M14 14h1'/%3E%3Cpath stroke='%232caeff' d='M15 14h1'/%3E%3Cpath stroke='%2324a5ff' d='M16 14h1'/%3E%3Cpath stroke='%231f97fd' d='M17 14h1'/%3E%3Cpath stroke='%231980f3' d='M18 14h1'/%3E%3Cpath stroke='%23105ace' d='M19 14h1'/%3E%3Cpath stroke='%23216aff' d='M1 15h1'/%3E%3Cpath stroke='%233578ff' d='M2 15h1'/%3E%3Cpath stroke='%234885ff' d='M4 15h1'/%3E%3Cpath stroke='%234d89ff' d='M6 15h1'/%3E%3Cpath stroke='%234c8cff' d='M7 15h1'/%3E%3Cpath stroke='%234d94ff' d='M8 15h1'/%3E%3Cpath stroke='%23cfe4ff' d='M9 15h1'/%3E%3Cpath stroke='%2347aaff' d='M11 15h1'/%3E%3Cpath stroke='%2341afff' d='M12 15h1'/%3E%3Cpath stroke='%233bb2ff' d='M13 15h1'/%3E%3Cpath stroke='%2333b1ff' d='M14 15h1'/%3E%3Cpath stroke='%232aadff' d='M15 15h1'/%3E%3Cpath stroke='%2321a3ff' d='M16 15h1'/%3E%3Cpath stroke='%231a95fd' d='M17 15h1'/%3E%3Cpath stroke='%23137cf2' d='M18 15h1'/%3E%3Cpath stroke='%230c59cf' d='M19 15h1'/%3E%3Cpath stroke='%231c66ff' d='M1 16h1'/%3E%3Cpath stroke='%233879ff' d='M3 16h1'/%3E%3Cpath stroke='%233f7eff' d='M4 16h1'/%3E%3Cpath stroke='%234483ff' d='M5 16h1'/%3E%3Cpath stroke='%234584ff' d='M6 16h1'/%3E%3Cpath stroke='%234587ff' d='M7 16h1'/%3E%3Cpath stroke='%23468eff' d='M8 16h1'/%3E%3Cpath stroke='%23f6faff' d='M9 16h1'/%3E%3Cpath stroke='%233fa3ff' d='M11 16h1'/%3E%3Cpath stroke='%233ba8ff' d='M12 16h1'/%3E%3Cpath stroke='%233af' d='M13 16h1'/%3E%3Cpath stroke='%232da9ff' d='M14 16h1'/%3E%3Cpath stroke='%2324a6ff' d='M15 16h1'/%3E%3Cpath stroke='%231d9eff' d='M16 16h1'/%3E%3Cpath stroke='%231690fd' d='M17 16h1'/%3E%3Cpath stroke='%231078f1' d='M18 16h1'/%3E%3Cpath stroke='%230b57ce' d='M19 16h1'/%3E%3Cpath stroke='%231761f9' d='M1 17h1'/%3E%3Cpath stroke='%23246bfa' d='M2 17h1'/%3E%3Cpath stroke='%232f72fb' d='M3 17h1'/%3E%3Cpath stroke='%233676fb' d='M4 17h1'/%3E%3Cpath stroke='%233a7afb' d='M5 17h1'/%3E%3Cpath stroke='%233b7bfc' d='M6 17h1'/%3E%3Cpath stroke='%233b7efc' d='M7 17h1'/%3E%3Cpath stroke='%233c84fc' d='M8 17h1'/%3E%3Cpath stroke='%233b8afc' d='M9 17h1'/%3E%3Cpath stroke='%233990fc' d='M10 17h1'/%3E%3Cpath stroke='%233695fc' d='M11 17h1'/%3E%3Cpath stroke='%233299fc' d='M12 17h1'/%3E%3Cpath stroke='%232c9cfd' d='M13 17h1'/%3E%3Cpath stroke='%23259bfd' d='M14 17h1'/%3E%3Cpath stroke='%231e97fd' d='M15 17h1'/%3E%3Cpath stroke='%231790fc' d='M16 17h1'/%3E%3Cpath stroke='%231184fa' d='M17 17h1'/%3E%3Cpath stroke='%230c6ded' d='M18 17h1'/%3E%3Cpath stroke='%230850c8' d='M19 17h1'/%3E%3Cpath stroke='%232f6ae4' d='M1 18h1'/%3E%3Cpath stroke='%231b5fe9' d='M2 18h1'/%3E%3Cpath stroke='%232163e8' d='M3 18h1'/%3E%3Cpath stroke='%232868eb' d='M4 18h1'/%3E%3Cpath stroke='%232c6aea' d='M5 18h1'/%3E%3Cpath stroke='%232e6dea' d='M6 18h1'/%3E%3Cpath stroke='%232d6deb' d='M7 18h1'/%3E%3Cpath stroke='%232c71ec' d='M8 18h1'/%3E%3Cpath stroke='%232c76ec' d='M9 18h1'/%3E%3Cpath stroke='%232a79ed' d='M10 18h1'/%3E%3Cpath stroke='%23287eef' d='M11 18h1'/%3E%3Cpath stroke='%232481f1' d='M12 18h1'/%3E%3Cpath stroke='%232182f1' d='M13 18h1'/%3E%3Cpath stroke='%231c80f1' d='M14 18h1'/%3E%3Cpath stroke='%231880f3' d='M15 18h1'/%3E%3Cpath stroke='%23117af2' d='M16 18h1'/%3E%3Cpath stroke='%230c6eed' d='M17 18h1'/%3E%3Cpath stroke='%230a5ddd' d='M18 18h1'/%3E%3Cpath stroke='%23265dc1' d='M19 18h1'/%3E%3Cpath stroke='%2393b4f2' d='M0 19h1'/%3E%3Cpath stroke='%23d1ddf4' d='M1 19h1'/%3E%3Cpath stroke='%232e61ca' d='M2 19h1'/%3E%3Cpath stroke='%23134bbf' d='M3 19h1'/%3E%3Cpath stroke='%23164fc2' d='M4 19h1'/%3E%3Cpath stroke='%231950c1' d='M5 19h1'/%3E%3Cpath stroke='%231b52c1' d='M6 19h1'/%3E%3Cpath stroke='%231a52c3' d='M7 19h1'/%3E%3Cpath stroke='%231954c6' d='M8 19h1'/%3E%3Cpath stroke='%231b58c9' d='M9 19h1'/%3E%3Cpath stroke='%231858c8' d='M10 19h1'/%3E%3Cpath stroke='%23165bcd' d='M11 19h1'/%3E%3Cpath stroke='%23145cd0' d='M12 19h1'/%3E%3Cpath stroke='%23135cd0' d='M13 19h1'/%3E%3Cpath stroke='%230f58cc' d='M14 19h1'/%3E%3Cpath stroke='%230d5ad2' d='M15 19h1'/%3E%3Cpath stroke='%230b58d1' d='M16 19h1'/%3E%3Cpath stroke='%230951cb' d='M17 19h1'/%3E%3Cpath stroke='%23265ec3' d='M18 19h1'/%3E%3Cpath stroke='%23d0daee' d='M19 19h1'/%3E%3Cpath stroke='%2393b3f2' d='M20 19h1M1 20h1'/%3E%3Cpath stroke='%2393b2f1' d='M19 20h1'/%3E%3C/svg%3E")
			}
			
			.title-bar-controls button[aria-label=Help]: not(: disabled): active{
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 21 21' shape-rendering='crispEdges'%3E%3Cpath stroke='%23a7bdef' d='M1 0h1'/%3E%3Cpath stroke='%23f4f6fd' d='M2 0h1m15 0h1M0 2h1m19 0h1M0 18h1m19 0h1M2 20h1m15 0h1'/%3E%3Cpath stroke='%23fff' d='M3 0h15M0 3h1m19 0h1M0 4h1m19 0h1M0 5h1m19 0h1M0 6h1m19 0h1M0 7h1m19 0h1M0 8h1m19 0h1M0 9h1m19 0h1M0 10h1m19 0h1M0 11h1m19 0h1M0 12h1m19 0h1M0 13h1m19 0h1M0 14h1m19 0h1M0 15h1m19 0h1M0 16h1m19 0h1M0 17h1m19 0h1M3 20h1m5 0h9'/%3E%3Cpath stroke='%23a7bdee' d='M19 0h1M0 1h1'/%3E%3Cpath stroke='%23cfd3da' d='M1 1h1'/%3E%3Cpath stroke='%231f3b5f' d='M2 1h1M1 2h1'/%3E%3Cpath stroke='%23002453' d='M3 1h1M1 4h1'/%3E%3Cpath stroke='%23002557' d='M4 1h1'/%3E%3Cpath stroke='%23002658' d='M5 1h1'/%3E%3Cpath stroke='%2300285c' d='M6 1h1'/%3E%3Cpath stroke='%23002a61' d='M7 1h1'/%3E%3Cpath stroke='%23002d67' d='M8 1h1'/%3E%3Cpath stroke='%23002f6b' d='M9 1h1'/%3E%3Cpath stroke='%23002f6c' d='M10 1h1M1 10h1'/%3E%3Cpath stroke='%23003273' d='M11 1h1'/%3E%3Cpath stroke='%23003478' d='M12 1h1M5 2h1'/%3E%3Cpath stroke='%2300357b' d='M13 1h1M2 5h1m-2 8h1'/%3E%3Cpath stroke='%2300377f' d='M14 1h1M6 2h1'/%3E%3Cpath stroke='%23003780' d='M15 1h1'/%3E%3Cpath stroke='%23003984' d='M16 1h1'/%3E%3Cpath stroke='%23003882' d='M17 1h1M3 3h1'/%3E%3Cpath stroke='%231f5295' d='M18 1h1'/%3E%3Cpath stroke='%23cfdae9' d='M19 1h1'/%3E%3Cpath stroke='%23a7bcee' d='M20 1h1'/%3E%3Cpath stroke='%23002a62' d='M2 2h1'/%3E%3Cpath stroke='%23003070' d='M3 2h1'/%3E%3Cpath stroke='%23003275' d='M4 2h1'/%3E%3Cpath stroke='%23003883' d='M7 2h1M1 17h1'/%3E%3Cpath stroke='%23003a88' d='M8 2h1'/%3E%3Cpath stroke='%23003d8f' d='M9 2h1M2 9h1'/%3E%3Cpath stroke='%23003e90' d='M10 2h1'/%3E%3Cpath stroke='%23004094' d='M11 2h1'/%3E%3Cpath stroke='%23004299' d='M12 2h1M2 12h1'/%3E%3Cpath stroke='%2300439b' d='M13 2h1'/%3E%3Cpath stroke='%2300449e' d='M14 2h1M2 14h1'/%3E%3Cpath stroke='%2300459f' d='M15 2h1'/%3E%3Cpath stroke='%230045a1' d='M16 2h1m1 0h1M2 17h1'/%3E%3Cpath stroke='%230045a0' d='M17 2h1M2 15h1'/%3E%3Cpath stroke='%231f5aa8' d='M19 2h1'/%3E%3Cpath stroke='%23002452' d='M1 3h1'/%3E%3Cpath stroke='%23003170' d='M2 3h1'/%3E%3Cpath stroke='%23003b8b' d='M4 3h1M3 4h1'/%3E%3Cpath stroke='%23003c8f' d='M5 3h1'/%3E%3Cpath stroke='%23003e94' d='M6 3h1'/%3E%3Cpath stroke='%23004099' d='M7 3h1'/%3E%3Cpath stroke='%2300429d' d='M8 3h1'/%3E%3Cpath stroke='%230044a2' d='M9 3h1'/%3E%3Cpath stroke='%230046a5' d='M10 3h1'/%3E%3Cpath stroke='%230048a8' d='M11 3h1'/%3E%3Cpath stroke='%230049ab' d='M12 3h1'/%3E%3Cpath stroke='%23004aac' d='M13 3h1'/%3E%3Cpath stroke='%23004aad' d='M14 3h1'/%3E%3Cpath stroke='%23004bae' d='M15 3h2m1 0h1M3 14h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23004baf' d='M17 3h1M7 10h1m-5 7h1m-1 1h1'/%3E%3Cpath stroke='%23004bad' d='M19 3h1M3 13h1m-1 6h1'/%3E%3Cpath stroke='%23037' d='M2 4h1m-2 8h1'/%3E%3Cpath stroke='%23003d92' d='M4 4h1'/%3E%3Cpath stroke='%23003f97' d='M5 4h1M4 5h1'/%3E%3Cpath stroke='%2300419d' d='M6 4h1M4 6h1'/%3E%3Cpath stroke='%230a4aa5' d='M7 4h1'/%3E%3Cpath stroke='%234e7ec0' d='M8 4h1'/%3E%3Cpath stroke='%23789ed1' d='M9 4h1'/%3E%3Cpath stroke='%23789ed3' d='M10 4h1'/%3E%3Cpath stroke='%23789fd4' d='M11 4h1m0 1h1'/%3E%3Cpath stroke='%235184c7' d='M12 4h1'/%3E%3Cpath stroke='%230b54b3' d='M13 4h1m0 1h1'/%3E%3Cpath stroke='%23004db1' d='M14 4h3m-2 1h2m-2 1h2M7 12h1m-2 1h1m-3 1h3m-3 1h2m-2 1h2'/%3E%3Cpath stroke='%23004db2' d='M17 4h3m-3 1h3m-2 1h2m-1 1h1m-9 1h1m-4 3h1m-5 6h2m-2 1h4m-4 1h4'/%3E%3Cpath stroke='%23002555' d='M1 5h1'/%3E%3Cpath stroke='%23003d90' d='M3 5h1'/%3E%3Cpath stroke='%2300409c' d='M5 5h1'/%3E%3Cpath stroke='%230949a4' d='M6 5h1'/%3E%3Cpath stroke='%23668ec8' d='M7 5h1'/%3E%3Cpath stroke='%23789dd1' d='M8 5h1M7 6h1'/%3E%3Cpath stroke='%23497cc1' d='M9 5h1'/%3E%3Cpath stroke='%234178c0' d='M10 5h1'/%3E%3Cpath stroke='%23608dcb' d='M11 5h1'/%3E%3Cpath stroke='%236693cf' d='M13 5h1'/%3E%3Cpath stroke='%2300275a' d='M1 6h1'/%3E%3Cpath stroke='%23003781' d='M2 6h1m-2 9h1'/%3E%3Cpath stroke='%23003f95' d='M3 6h1'/%3E%3Cpath stroke='%230042a1' d='M5 6h1'/%3E%3Cpath stroke='%234073bb' d='M6 6h1'/%3E%3Cpath stroke='%232661b6' d='M8 6h1'/%3E%3Cpath stroke='%230047ac' d='M9 6h1'/%3E%3Cpath stroke='%230049ad' d='M10 6h1m-6 5h1'/%3E%3Cpath stroke='%23004aae' d='M11 6h1m-6 5h1m-3 1h2'/%3E%3Cpath stroke='%234077c4' d='M12 6h1'/%3E%3Cpath stroke='%2378a1d6' d='M13 6h1'/%3E%3Cpath stroke='%234079c4' d='M14 6h1'/%3E%3Cpath stroke='%23004eb3' d='M17 6h1m0 1h1m0 1h1M10 9h1m-2 1h1m-3 6h1m-2 1h2m0 2h1'/%3E%3Cpath stroke='%2300295f' d='M1 7h1'/%3E%3Cpath stroke='%23003985' d='M2 7h1'/%3E%3Cpath stroke='%2300419b' d='M3 7h1'/%3E%3Cpath stroke='%230043a2' d='M4 7h1'/%3E%3Cpath stroke='%230044a6' d='M5 7h1'/%3E%3Cpath stroke='%235684c6' d='M6 7h1'/%3E%3Cpath stroke='%235686c8' d='M7 7h1'/%3E%3Cpath stroke='%230049ac' d='M8 7h1m-4 3h1m-2 1h1m-2 1h1'/%3E%3Cpath stroke='%230049ae' d='M9 7h1M7 8h2m-3 2h1'/%3E%3Cpath stroke='%23004aaf' d='M10 7h1M9 8h1M7 9h1'/%3E%3Cpath stroke='%23004cb1' d='M11 7h1m-2 1h1M9 9h1m-2 1h1'/%3E%3Cpath stroke='%230a53b5' d='M12 7h1'/%3E%3Cpath stroke='%2378a1d7' d='M13 7h1'/%3E%3Cpath stroke='%234881c8' d='M14 7h1'/%3E%3Cpath stroke='%23004fb4' d='M15 7h3m0 1h1m0 1h1M8 12h1m-2 3h1m0 3h1m0 1h1'/%3E%3Cpath stroke='%23002b63' d='M1 8h1'/%3E%3Cpath stroke='%23003b8a' d='M2 8h1'/%3E%3Cpath stroke='%2300439f' d='M3 8h1'/%3E%3Cpath stroke='%230045a5' d='M4 8h1'/%3E%3Cpath stroke='%230046a8' d='M5 8h1'/%3E%3Cpath stroke='%230047ab' d='M6 8h1M5 9h1'/%3E%3Cpath stroke='%23145db9' d='M12 8h1'/%3E%3Cpath stroke='%2378a2d8' d='M13 8h1'/%3E%3Cpath stroke='%23457fc8' d='M14 8h1'/%3E%3Cpath stroke='%230051b6' d='M15 8h1m2 1h1m0 2h1m-1 1h1M8 14h1m-1 1h1m10 2h1M9 18h1m1 1h1'/%3E%3Cpath stroke='%230050b5' d='M16 8h2m1 2h1M8 13h1m-1 3h1m-1 1h1m1 2h1'/%3E%3Cpath stroke='%23002d68' d='M1 9h1'/%3E%3Cpath stroke='%230045a3' d='M3 9h1'/%3E%3Cpath stroke='%230047a8' d='M4 9h1'/%3E%3Cpath stroke='%230048ad' d='M6 9h1'/%3E%3Cpath stroke='%23004bb0' d='M8 9h1m-3 3h1m-2 1h1'/%3E%3Cpath stroke='%231b62bd' d='M11 9h1'/%3E%3Cpath stroke='%236899d4' d='M12 9h1'/%3E%3Cpath stroke='%2378a4d9' d='M13 9h1'/%3E%3Cpath stroke='%231f68c1' d='M14 9h1'/%3E%3Cpath stroke='%230054b9' d='M15 9h1m-7 5h1m8 4h1m-4 1h1'/%3E%3Cpath stroke='%230053b8' d='M16 9h2m0 1h1m0 4h1m-1 2h1M9 17h1m0 1h1m3 1h1m1 0h1'/%3E%3Cpath stroke='%23003f93' d='M2 10h1'/%3E%3Cpath stroke='%230047a7' d='M3 10h1'/%3E%3Cpath stroke='%230048ab' d='M4 10h1'/%3E%3Cpath stroke='%23407cc7' d='M10 10h1'/%3E%3Cpath stroke='%2378a3d9' d='M11 10h1m-2 1h1'/%3E%3Cpath stroke='%2378a5da' d='M12 10h1m-3 2h1'/%3E%3Cpath stroke='%23256ec4' d='M13 10h1'/%3E%3Cpath stroke='%230057bb' d='M14 10h1'/%3E%3Cpath stroke='%230057bc' d='M15 10h1m-5 2h1m-2 2h1m7 3h1m-7 1h1m4 0h1'/%3E%3Cpath stroke='%230056bb' d='M16 10h1m1 2h1'/%3E%3Cpath stroke='%230055ba' d='M17 10h1m0 1h1m-9 6h1m0 1h1'/%3E%3Cpath stroke='%23003172' d='M1 11h1'/%3E%3Cpath stroke='%23004095' d='M2 11h1'/%3E%3Cpath stroke='%230048aa' d='M3 11h1'/%3E%3Cpath stroke='%23004cb0' d='M7 11h1m-4 2h1'/%3E%3Cpath stroke='%233272c4' d='M9 11h1'/%3E%3Cpath stroke='%23538cd0' d='M11 11h1'/%3E%3Cpath stroke='%23065cbf' d='M12 11h1'/%3E%3Cpath stroke='%230059be' d='M13 11h1m2 0h1m-6 2h1m-1 3h1m6 0h1m-5 2h1m1 0h1'/%3E%3Cpath stroke='%23005abf' d='M14 11h2m-4 1h1m4 0h1m-7 2h1m-1 1h1m0 2h1m2 1h1'/%3E%3Cpath stroke='%230058bd' d='M17 11h1m0 2h1m-6 5h1'/%3E%3Cpath stroke='%23538ace' d='M9 12h1'/%3E%3Cpath stroke='%23005cc1' d='M13 12h1m2 0h1m-5 1h1m4 0h1m-5 4h1'/%3E%3Cpath stroke='%23005dc2' d='M14 12h1m-3 2h1m4 0h1m-6 1h1m4 1h1m-4 1h1m1 0h1'/%3E%3Cpath stroke='%23005ec3' d='M15 12h1m-3 1h1m2 0h1m0 2h1m-5 1h1m1 1h1'/%3E%3Cpath stroke='%2300449d' d='M2 13h1'/%3E%3Cpath stroke='%23004eb2' d='M7 13h1m-2 2h1m-1 1h1'/%3E%3Cpath stroke='%234581cb' d='M9 13h1'/%3E%3Cpath stroke='%236297d5' d='M10 13h1'/%3E%3Cpath stroke='%23005fc4' d='M14 13h1m-2 1h1m2 0h1m-4 1h1'/%3E%3Cpath stroke='%230060c5' d='M15 13h1m-2 1h1m1 1h1m-2 1h1'/%3E%3Cpath stroke='%230052b7' d='M19 13h1m-8 6h2m3 0h1'/%3E%3Cpath stroke='%2300367e' d='M1 14h1'/%3E%3Cpath stroke='%23004fb3' d='M7 14h1'/%3E%3Cpath stroke='%230061c6' d='M15 14h1m-2 1h1'/%3E%3Cpath stroke='%230059bd' d='M18 14h1'/%3E%3Cpath stroke='%23407fca' d='M9 15h1'/%3E%3Cpath stroke='%2378a6dc' d='M10 15h1'/%3E%3Cpath stroke='%230062c6' d='M15 15h1'/%3E%3Cpath stroke='%23005abe' d='M18 15h1'/%3E%3Cpath stroke='%230054b8' d='M19 15h1'/%3E%3Cpath stroke='%23003881' d='M1 16h1'/%3E%3Cpath stroke='%230046a1' d='M2 16h1'/%3E%3Cpath stroke='%236c9bd5' d='M9 16h1'/%3E%3Cpath stroke='%2378a6db' d='M10 16h1'/%3E%3Cpath stroke='%23005cc0' d='M12 16h1'/%3E%3Cpath stroke='%23005fc3' d='M14 16h1'/%3E%3Cpath stroke='%230060c4' d='M16 16h1'/%3E%3Cpath stroke='%230058bc' d='M11 17h1'/%3E%3Cpath stroke='%23005bc0' d='M17 17h1'/%3E%3Cpath stroke='%231f5294' d='M1 18h1'/%3E%3Cpath stroke='%230046a2' d='M2 18h1'/%3E%3Cpath stroke='%231f66be' d='M19 18h1'/%3E%3Cpath stroke='%23a7bef0' d='M0 19h1m19 0h1M1 20h1'/%3E%3Cpath stroke='%23cfdae8' d='M1 19h1'/%3E%3Cpath stroke='%231f5ba9' d='M2 19h1'/%3E%3Cpath stroke='%231f66bf' d='M18 19h1'/%3E%3Cpath stroke='%23cfdef1' d='M19 19h1'/%3E%3Cpath stroke='%23fefefe' d='M4 20h1m3 0h1'/%3E%3Cpath stroke='%23fdfdfd' d='M5 20h1m1 0h1'/%3E%3Cpath stroke='%23fcfcfc' d='M6 20h1'/%3E%3Cpath stroke='%23a7bdf0' d='M19 20h1'/%3E%3C/svg%3E")
			}
			
			.title-bar-controls button[aria-label=Close]{
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 21 21' shape-rendering='crispEdges'%3E%3Cpath stroke='%23b3c4ef' d='M1 0h1m17 0h1M0 1h1m19 0h1M0 19h1m19 0h1M1 20h1m17 0h1'/%3E%3Cpath stroke='%23f4f6fd' d='M2 0h1m17 2h1M0 18h1m17 2h1'/%3E%3Cpath stroke='%23fff' d='M3 0h16M0 2h1M0 3h1m19 0h1M0 4h1m19 0h1M0 5h1m5 0h1m7 0h1m5 0h1M0 6h1m4 0h3m5 0h3m4 0h1M0 7h1m5 0h3m3 0h3m5 0h1M0 8h1m6 0h3m1 0h3m6 0h1M0 9h1m7 0h5m7 0h1M0 10h1m8 0h3m8 0h1M0 11h1m7 0h5m7 0h1M0 12h1m6 0h3m1 0h2m7 0h1M0 13h1m5 0h3m3 0h3m5 0h1M0 14h1m4 0h3m5 0h3m4 0h1M0 15h1m5 0h1m7 0h1m5 0h1M0 16h1m19 0h1M0 17h1m19 0h1m-1 1h1M2 20h16'/%3E%3Cpath stroke='%23fae1dc' d='M1 1h1'/%3E%3Cpath stroke='%23eb8b73' d='M2 1h1'/%3E%3Cpath stroke='%23e97b60' d='M3 1h1'/%3E%3Cpath stroke='%23e77155' d='M4 1h1'/%3E%3Cpath stroke='%23e66a4d' d='M5 1h1M1 6h1m5 4h1'/%3E%3Cpath stroke='%23e56648' d='M6 1h1'/%3E%3Cpath stroke='%23e46142' d='M7 1h1'/%3E%3Cpath stroke='%23e46344' d='M8 1h1m5 3h1M2 12h1'/%3E%3Cpath stroke='%23e45f3e' d='M9 1h2'/%3E%3Cpath stroke='%23e35c3b' d='M11 1h2'/%3E%3Cpath stroke='%23e25633' d='M13 1h2'/%3E%3Cpath stroke='%23e25330' d='M15 1h1'/%3E%3Cpath stroke='%23e04d28' d='M16 1h1'/%3E%3Cpath stroke='%23dc451f' d='M17 1h1'/%3E%3Cpath stroke='%23d05334' d='M18 1h1'/%3E%3Cpath stroke='%23efd8d2' d='M19 1h1'/%3E%3Cpath stroke='%23ec8d76' d='M1 2h1'/%3E%3Cpath stroke='%23efa390' d='M2 2h1'/%3E%3Cpath stroke='%23f0a694' d='M3 2h1'/%3E%3Cpath stroke='%23ee9a85' d='M4 2h1'/%3E%3Cpath stroke='%23eb8d75' d='M5 2h1'/%3E%3Cpath stroke='%23ea876e' d='M6 2h1'/%3E%3Cpath stroke='%23ea8168' d='M7 2h1'/%3E%3Cpath stroke='%23e97f66' d='M8 2h1'/%3E%3Cpath stroke='%23e97c62' d='M9 2h1m0 1h1'/%3E%3Cpath stroke='%23e8795f' d='M10 2h1'/%3E%3Cpath stroke='%23e8795e' d='M11 2h1'/%3E%3Cpath stroke='%23e87559' d='M12 2h1'/%3E%3Cpath stroke='%23e77256' d='M13 2h1'/%3E%3Cpath stroke='%23e66e50' d='M14 2h1'/%3E%3Cpath stroke='%23e56849' d='M15 2h1'/%3E%3Cpath stroke='%23e4603f' d='M16 2h1m-2 2h1'/%3E%3Cpath stroke='%23e05532' d='M17 2h1'/%3E%3Cpath stroke='%23d04623' d='M18 2h1'/%3E%3Cpath stroke='%23b64b30' d='M19 2h1'/%3E%3Cpath stroke='%23e97f65' d='M1 3h1'/%3E%3Cpath stroke='%23f0a997' d='M2 3h1'/%3E%3Cpath stroke='%23f1ac9a' d='M3 3h1'/%3E%3Cpath stroke='%23ee9d89' d='M4 3h1M2 4h1'/%3E%3Cpath stroke='%23ec917a' d='M5 3h1'/%3E%3Cpath stroke='%23eb8b72' d='M6 3h1'/%3E%3Cpath stroke='%23ea856d' d='M7 3h1'/%3E%3Cpath stroke='%23e98168' d='M8 3h1M2 7h1'/%3E%3Cpath stroke='%23e87e65' d='M9 3h1'/%3E%3Cpath stroke='%23e97b61' d='M11 3h1'/%3E%3Cpath stroke='%23e8775d' d='M12 3h1M3 9h1'/%3E%3Cpath stroke='%23e87459' d='M13 3h1M2 9h1'/%3E%3Cpath stroke='%23e66f52' d='M14 3h1'/%3E%3Cpath stroke='%23e56a4c' d='M15 3h1'/%3E%3Cpath stroke='%23e46343' d='M16 3h1'/%3E%3Cpath stroke='%23e15937' d='M17 3h1'/%3E%3Cpath stroke='%23d24a28' d='M18 3h1'/%3E%3Cpath stroke='%23aa3315' d='M19 3h1'/%3E%3Cpath stroke='%23e87458' d='M1 4h1'/%3E%3Cpath stroke='%23efa18d' d='M3 4h1'/%3E%3Cpath stroke='%23ed957f' d='M4 4h1'/%3E%3Cpath stroke='%23eb8a71' d='M5 4h1M4 5h1'/%3E%3Cpath stroke='%23ea836a' d='M6 4h1M4 6h1M3 7h1'/%3E%3Cpath stroke='%23e97d64' d='M7 4h1'/%3E%3Cpath stroke='%23e8785e' d='M8 4h1'/%3E%3Cpath stroke='%23e77359' d='M9 4h1'/%3E%3Cpath stroke='%23e76f54' d='M10 4h1'/%3E%3Cpath stroke='%23e66d51' d='M11 4h1'/%3E%3Cpath stroke='%23e5684b' d='M12 4h1'/%3E%3Cpath stroke='%23e5684a' d='M13 4h1'/%3E%3Cpath stroke='%23e35c3a' d='M16 4h1m-7 4h1m-8 7h1'/%3E%3Cpath stroke='%23e05634' d='M17 4h1'/%3E%3Cpath stroke='%23d24c2a' d='M18 4h1'/%3E%3Cpath stroke='%23ac3618' d='M19 4h1'/%3E%3Cpath stroke='%23e76f52' d='M1 5h1m4 6h1m-3 1h1'/%3E%3Cpath stroke='%23ec9179' d='M2 5h1'/%3E%3Cpath stroke='%23ec937c' d='M3 5h1'/%3E%3Cpath stroke='%23f7ccc2' d='M5 5h1'/%3E%3Cpath stroke='%23e77259' d='M7 5h1M5 9h1'/%3E%3Cpath stroke='%23e76d53' d='M8 5h1'/%3E%3Cpath stroke='%23e5684d' d='M9 5h1M8 6h1'/%3E%3Cpath stroke='%23e46446' d='M10 5h1'/%3E%3Cpath stroke='%23e45f41' d='M11 5h1'/%3E%3Cpath stroke='%23e35b3a' d='M12 5h1m-2 1h1'/%3E%3Cpath stroke='%23e35938' d='M13 5h1'/%3E%3Cpath stroke='%23f3bbad' d='M15 5h1'/%3E%3Cpath stroke='%23e25531' d='M16 5h1'/%3E%3Cpath stroke='%23df5330' d='M17 5h1'/%3E%3Cpath stroke='%23d34e2c' d='M18 5h1'/%3E%3Cpath stroke='%23ad3a1d' d='M19 5h1m-1 1h1'/%3E%3Cpath stroke='%23eb876e' d='M2 6h1'/%3E%3Cpath stroke='%23eb8a70' d='M3 6h1'/%3E%3Cpath stroke='%23e46447' d='M9 6h1'/%3E%3Cpath stroke='%23e45f40' d='M10 6h1'/%3E%3Cpath stroke='%23e25634' d='M12 6h1'/%3E%3Cpath stroke='%23e2522d' d='M16 6h1'/%3E%3Cpath stroke='%23df522e' d='M17 6h1'/%3E%3Cpath stroke='%23d34d2c' d='M18 6h1'/%3E%3Cpath stroke='%23e56546' d='M1 7h1M1 8h1'/%3E%3Cpath stroke='%23e97e65' d='M4 7h1'/%3E%3Cpath stroke='%23e8775e' d='M5 7h1'/%3E%3Cpath stroke='%23e46143' d='M9 7h1'/%3E%3Cpath stroke='%23e45d3d' d='M10 7h1'/%3E%3Cpath stroke='%23e35836' d='M11 7h1'/%3E%3Cpath stroke='%23e24e27' d='M15 7h1'/%3E%3Cpath stroke='%23e2502a' d='M16 7h1'/%3E%3Cpath stroke='%23e0512c' d='M17 7h1'/%3E%3Cpath stroke='%23d34d2a' d='M18 7h1'/%3E%3Cpath stroke='%23ad391c' d='M19 7h1'/%3E%3Cpath stroke='%23e87a60' d='M2 8h1m1 0h1'/%3E%3Cpath stroke='%23e87c62' d='M3 8h1'/%3E%3Cpath stroke='%23e8745b' d='M5 8h1'/%3E%3Cpath stroke='%23e76e54' d='M6 8h1'/%3E%3Cpath stroke='%23e24d24' d='M14 8h1'/%3E%3Cpath stroke='%23e24b22' d='M15 8h1'/%3E%3Cpath stroke='%23e24d25' d='M16 8h1'/%3E%3Cpath stroke='%23e05029' d='M17 8h1'/%3E%3Cpath stroke='%23d44c29' d='M18 8h1'/%3E%3Cpath stroke='%23ae391b' d='M19 8h1'/%3E%3Cpath stroke='%23e35d3c' d='M1 9h1'/%3E%3Cpath stroke='%23e8765d' d='M4 9h1'/%3E%3Cpath stroke='%23e66f53' d='M6 9h1'/%3E%3Cpath stroke='%23e56b4e' d='M7 9h1'/%3E%3Cpath stroke='%23e45127' d='M13 9h1'/%3E%3Cpath stroke='%23e44f23' d='M14 9h1'/%3E%3Cpath stroke='%23e34c20' d='M15 9h1'/%3E%3Cpath stroke='%23e34d22' d='M16 9h1'/%3E%3Cpath stroke='%23e14f25' d='M17 9h1'/%3E%3Cpath stroke='%23d54a25' d='M18 9h1'/%3E%3Cpath stroke='%23af3719' d='M19 9h1'/%3E%3Cpath stroke='%23e35937' d='M1 10h1'/%3E%3Cpath stroke='%23e76d51' d='M2 10h1'/%3E%3Cpath stroke='%23e87257' d='M3 10h1'/%3E%3Cpath stroke='%23e87359' d='M4 10h1'/%3E%3Cpath stroke='%23e77157' d='M5 10h1'/%3E%3Cpath stroke='%23e66e52' d='M6 10h1'/%3E%3Cpath stroke='%23e56747' d='M8 10h1'/%3E%3Cpath stroke='%23e5572c' d='M12 10h1'/%3E%3Cpath stroke='%23e55326' d='M13 10h1'/%3E%3Cpath stroke='%23e55022' d='M14 10h1'/%3E%3Cpath stroke='%23e54d1e' d='M15 10h1'/%3E%3Cpath stroke='%23e54d1f' d='M16 10h1'/%3E%3Cpath stroke='%23e24e21' d='M17 10h1'/%3E%3Cpath stroke='%23d64921' d='M18 10h1'/%3E%3Cpath stroke='%23af3516' d='M19 10h1'/%3E%3Cpath stroke='%23e25432' d='M1 11h1'/%3E%3Cpath stroke='%23e5694b' d='M2 11h1'/%3E%3Cpath stroke='%23e77054' d='M3 11h1'/%3E%3Cpath stroke='%23e77156' d='M4 11h1'/%3E%3Cpath stroke='%23e87055' d='M5 11h1'/%3E%3Cpath stroke='%23e66c4d' d='M7 11h1'/%3E%3Cpath stroke='%23e75526' d='M13 11h1'/%3E%3Cpath stroke='%23e75221' d='M14 11h1'/%3E%3Cpath stroke='%23e64e1c' d='M15 11h1'/%3E%3Cpath stroke='%23e64d1c' d='M16 11h1'/%3E%3Cpath stroke='%23e34c1c' d='M17 11h1'/%3E%3Cpath stroke='%23d6461c' d='M18 11h1'/%3E%3Cpath stroke='%23b03312' d='M19 11h1'/%3E%3Cpath stroke='%23e14f2b' d='M1 12h1'/%3E%3Cpath stroke='%23e66b4e' d='M3 12h1'/%3E%3Cpath stroke='%23e76f53' d='M5 12h1'/%3E%3Cpath stroke='%23e66e51' d='M6 12h1'/%3E%3Cpath stroke='%23e7653d' d='M10 12h1'/%3E%3Cpath stroke='%23fef5f1' d='M13 12h1'/%3E%3Cpath stroke='%23e85421' d='M14 12h1'/%3E%3Cpath stroke='%23e8501b' d='M15 12h1'/%3E%3Cpath stroke='%23e74d18' d='M16 12h1'/%3E%3Cpath stroke='%23e44a18' d='M17 12h1'/%3E%3Cpath stroke='%23d74216' d='M18 12h1'/%3E%3Cpath stroke='%23b2310f' d='M19 12h1'/%3E%3Cpath stroke='%23e04b25' d='M1 13h1m0 3h1'/%3E%3Cpath stroke='%23e35e3d' d='M2 13h1'/%3E%3Cpath stroke='%23e56748' d='M3 13h1'/%3E%3Cpath stroke='%23e66c4e' d='M4 13h1'/%3E%3Cpath stroke='%23e66d50' d='M5 13h1'/%3E%3Cpath stroke='%23e76842' d='M9 13h1'/%3E%3Cpath stroke='%23e7653c' d='M10 13h1'/%3E%3Cpath stroke='%23e86236' d='M11 13h1'/%3E%3Cpath stroke='%23e95019' d='M15 13h1m-2 3h1'/%3E%3Cpath stroke='%23e84c16' d='M16 13h1'/%3E%3Cpath stroke='%23e44713' d='M17 13h1'/%3E%3Cpath stroke='%23d83f10' d='M18 13h1'/%3E%3Cpath stroke='%23b12d0a' d='M19 13h1'/%3E%3Cpath stroke='%23df451e' d='M1 14h1'/%3E%3Cpath stroke='%23e25836' d='M2 14h1'/%3E%3Cpath stroke='%23e46242' d='M3 14h1m0 1h1'/%3E%3Cpath stroke='%23e56749' d='M4 14h1'/%3E%3Cpath stroke='%23e66845' d='M8 14h1'/%3E%3Cpath stroke='%23e76741' d='M9 14h1'/%3E%3Cpath stroke='%23e7643b' d='M10 14h1'/%3E%3Cpath stroke='%23e86235' d='M11 14h1'/%3E%3Cpath stroke='%23ea5e2d' d='M12 14h1'/%3E%3Cpath stroke='%23e94a11' d='M16 14h1m-2 2h1'/%3E%3Cpath stroke='%23e6440d' d='M17 14h1'/%3E%3Cpath stroke='%23d73b0b' d='M18 14h1'/%3E%3Cpath stroke='%23b12b06' d='M19 14h1'/%3E%3Cpath stroke='%23de4018' d='M1 15h1'/%3E%3Cpath stroke='%23e1512e' d='M2 15h1'/%3E%3Cpath stroke='%23f5c1b5' d='M5 15h1'/%3E%3Cpath stroke='%23e66543' d='M7 15h1'/%3E%3Cpath stroke='%23e66541' d='M8 15h1'/%3E%3Cpath stroke='%23e6643d' d='M9 15h1'/%3E%3Cpath stroke='%23e76238' d='M10 15h1'/%3E%3Cpath stroke='%23e86032' d='M11 15h1'/%3E%3Cpath stroke='%23e95c2a' d='M12 15h1'/%3E%3Cpath stroke='%23ea5924' d='M13 15h1'/%3E%3Cpath stroke='%23f7b8a1' d='M15 15h1'/%3E%3Cpath stroke='%23e9480e' d='M16 15h1'/%3E%3Cpath stroke='%23e54009' d='M17 15h1'/%3E%3Cpath stroke='%23d73605' d='M18 15h1'/%3E%3Cpath stroke='%23b02702' d='M19 15h1'/%3E%3Cpath stroke='%23dd3c14' d='M1 16h1'/%3E%3Cpath stroke='%23e15431' d='M3 16h1'/%3E%3Cpath stroke='%23e35b39' d='M4 16h1'/%3E%3Cpath stroke='%23e45e3d' d='M5 16h1'/%3E%3Cpath stroke='%23e45f3d' d='M6 16h1'/%3E%3Cpath stroke='%23e45e3b' d='M7 16h1'/%3E%3Cpath stroke='%23e55e39' d='M8 16h1'/%3E%3Cpath stroke='%23e55e37' d='M9 16h1'/%3E%3Cpath stroke='%23e65d32' d='M10 16h1'/%3E%3Cpath stroke='%23e75b2c' d='M11 16h1'/%3E%3Cpath stroke='%23e85725' d='M12 16h1'/%3E%3Cpath stroke='%23e9541f' d='M13 16h1'/%3E%3Cpath stroke='%23e8440b' d='M16 16h1'/%3E%3Cpath stroke='%23e43d05' d='M17 16h1'/%3E%3Cpath stroke='%23d63302' d='M18 16h1'/%3E%3Cpath stroke='%23af2601' d='M19 16h1'/%3E%3Cpath stroke='%23d8370e' d='M1 17h1'/%3E%3Cpath stroke='%23db431c' d='M2 17h1'/%3E%3Cpath stroke='%23dd4c28' d='M3 17h1'/%3E%3Cpath stroke='%23de522f' d='M4 17h1'/%3E%3Cpath stroke='%23df5533' d='M5 17h1'/%3E%3Cpath stroke='%23e05734' d='M6 17h1'/%3E%3Cpath stroke='%23e05531' d='M7 17h1'/%3E%3Cpath stroke='%23e05631' d='M8 17h1'/%3E%3Cpath stroke='%23e1562e' d='M9 17h1'/%3E%3Cpath stroke='%23e2552a' d='M10 17h1'/%3E%3Cpath stroke='%23e45325' d='M11 17h1'/%3E%3Cpath stroke='%23e4501f' d='M12 17h1'/%3E%3Cpath stroke='%23e54c19' d='M13 17h1'/%3E%3Cpath stroke='%23e54813' d='M14 17h1'/%3E%3Cpath stroke='%23e5430d' d='M15 17h1'/%3E%3Cpath stroke='%23e43e07' d='M16 17h1'/%3E%3Cpath stroke='%23e03802' d='M17 17h1'/%3E%3Cpath stroke='%23d12f00' d='M18 17h1'/%3E%3Cpath stroke='%23aa2300' d='M19 17h1'/%3E%3Cpath stroke='%23cd4928' d='M1 18h1'/%3E%3Cpath stroke='%23cc3813' d='M2 18h1'/%3E%3Cpath stroke='%23cc3e1b' d='M3 18h1'/%3E%3Cpath stroke='%23cf4421' d='M4 18h1'/%3E%3Cpath stroke='%23cf4725' d='M5 18h1'/%3E%3Cpath stroke='%23cf4726' d='M6 18h1'/%3E%3Cpath stroke='%23cf4624' d='M7 18h1'/%3E%3Cpath stroke='%23d04723' d='M8 18h1'/%3E%3Cpath stroke='%23d14621' d='M9 18h1'/%3E%3Cpath stroke='%23d2451e' d='M10 18h1'/%3E%3Cpath stroke='%23d5451b' d='M11 18h1'/%3E%3Cpath stroke='%23d54216' d='M12 18h1'/%3E%3Cpath stroke='%23d64013' d='M13 18h1'/%3E%3Cpath stroke='%23d53d0e' d='M14 18h1'/%3E%3Cpath stroke='%23d63909' d='M15 18h1'/%3E%3Cpath stroke='%23d53504' d='M16 18h1'/%3E%3Cpath stroke='%23d13001' d='M17 18h1'/%3E%3Cpath stroke='%23c22a00' d='M18 18h1'/%3E%3Cpath stroke='%23ab3c1f' d='M19 18h1'/%3E%3Cpath stroke='%23eed6d0' d='M1 19h1'/%3E%3Cpath stroke='%23b54428' d='M2 19h1'/%3E%3Cpath stroke='%23a62b0d' d='M3 19h1'/%3E%3Cpath stroke='%23ac3011' d='M4 19h1'/%3E%3Cpath stroke='%23ab3112' d='M5 19h1'/%3E%3Cpath stroke='%23a93214' d='M6 19h1'/%3E%3Cpath stroke='%23a93012' d='M7 19h1'/%3E%3Cpath stroke='%23ac3213' d='M8 19h1'/%3E%3Cpath stroke='%23ad3213' d='M9 19h1'/%3E%3Cpath stroke='%23ae3110' d='M10 19h1'/%3E%3Cpath stroke='%23b1300d' d='M11 19h1'/%3E%3Cpath stroke='%23b22e0a' d='M12 19h1'/%3E%3Cpath stroke='%23b42d08' d='M13 19h1'/%3E%3Cpath stroke='%23b12a06' d='M14 19h1'/%3E%3Cpath stroke='%23b12803' d='M15 19h1'/%3E%3Cpath stroke='%23b42701' d='M16 19h1'/%3E%3Cpath stroke='%23ae2400' d='M17 19h1'/%3E%3Cpath stroke='%23ac3c1f' d='M18 19h1'/%3E%3Cpath stroke='%23ead4cf' d='M19 19h1'/%3E%3C/svg%3E")
			}
			
			.title-bar-controls button[aria-label=Close]: hover{
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 21 21' shape-rendering='crispEdges'%3E%3Cpath stroke='%23b5c6ef' d='M1 0h1m17 0h1M0 1h1m19 0h1M0 19h1m19 0h1M1 20h1m17 0h1'/%3E%3Cpath stroke='%23f4f6fd' d='M2 0h1m17 2h1M0 18h1m17 2h1'/%3E%3Cpath stroke='%23fff' d='M3 0h15M0 3h1m19 0h1M0 4h1m19 0h1M0 5h1m5 0h1m7 0h1m5 0h1M0 6h1m4 0h3m5 0h3m4 0h1M0 7h1m5 0h3m3 0h3m5 0h1M0 8h1m6 0h3m1 0h3m6 0h1M0 9h1m7 0h5m7 0h1M0 10h1m8 0h3m8 0h1M0 11h1m7 0h5m7 0h1M0 12h1m6 0h3m1 0h2m7 0h1M0 13h1m5 0h3m3 0h3m5 0h1M0 14h1m4 0h3m5 0h3m4 0h1M0 15h1m5 0h1m7 0h1m5 0h1M0 16h1m19 0h1M0 17h1m19 0h1M3 20h3m5 0h7'/%3E%3Cpath stroke='%23f5f7fd' d='M18 0h1M0 2h1m19 16h1M2 20h1'/%3E%3Cpath stroke='%23ffe4e1' d='M1 1h1'/%3E%3Cpath stroke='%23ff9285' d='M2 1h1m4 3h1M2 7h1'/%3E%3Cpath stroke='%23ff8c7f' d='M3 1h1'/%3E%3Cpath stroke='%23ff8375' d='M4 1h1m5 3h1'/%3E%3Cpath stroke='%23ff7b6c' d='M5 1h1M3 12h1'/%3E%3Cpath stroke='%23ff7868' d='M6 1h1m3 4h1'/%3E%3Cpath stroke='%23ff7362' d='M7 1h1'/%3E%3Cpath stroke='%23ff7363' d='M8 1h1m2 4h1M2 12h1'/%3E%3Cpath stroke='%23ff705f' d='M9 1h1M6 16h1'/%3E%3Cpath stroke='%23ff6f5f' d='M10 1h1'/%3E%3Cpath stroke='%23ff6e5d' d='M11 1h1m4 1h1m-5 3h1M2 13h1'/%3E%3Cpath stroke='%23ff6b5a' d='M12 1h1M3 15h1'/%3E%3Cpath stroke='%23f65' d='M13 1h2'/%3E%3Cpath stroke='%23ff6250' d='M15 1h1M2 15h1'/%3E%3Cpath stroke='%23ff5d4a' d='M16 1h1'/%3E%3Cpath stroke='%23fa5643' d='M17 1h1'/%3E%3Cpath stroke='%23eb6151' d='M18 1h1'/%3E%3Cpath stroke='%23f5dad7' d='M19 1h1'/%3E%3Cpath stroke='%23ff9386' d='M1 2h1'/%3E%3Cpath stroke='%23ffaea5' d='M2 2h1'/%3E%3Cpath stroke='%23ffb2a9' d='M3 2h1'/%3E%3Cpath stroke='%23ffa99f' d='M4 2h1'/%3E%3Cpath stroke='%23ff9e93' d='M5 2h1m0 1h1M5 4h1'/%3E%3Cpath stroke='%23ff998d' d='M6 2h1M4 6h1'/%3E%3Cpath stroke='%23ff9488' d='M7 2h1m0 1h1'/%3E%3Cpath stroke='%23ff9083' d='M8 2h1M3 8h1'/%3E%3Cpath stroke='%23ff8e80' d='M9 2h1'/%3E%3Cpath stroke='%23ff8b7d' d='M10 2h1M5 8h1M3 9h1'/%3E%3Cpath stroke='%23ff887a' d='M11 2h1m0 1h1M5 9h1'/%3E%3Cpath stroke='%23ff8475' d='M12 2h1M8 5h1'/%3E%3Cpath stroke='%23ff8172' d='M13 2h1M7 9h1m-3 3h1'/%3E%3Cpath stroke='%23ff7c6d' d='M14 2h1'/%3E%3Cpath stroke='%23ff7666' d='M15 2h1M1 7h1m1 6h1m0 1h1'/%3E%3Cpath stroke='%23fc6352' d='M17 2h1'/%3E%3Cpath stroke='%23e54' d='M18 2h1'/%3E%3Cpath stroke='%23d3594b' d='M19 2h1'/%3E%3Cpath stroke='%23ff8d80' d='M1 3h1'/%3E%3Cpath stroke='%23ffb3ab' d='M2 3h1'/%3E%3Cpath stroke='%23ffb8b0' d='M3 3h1'/%3E%3Cpath stroke='%23ffb0a6' d='M4 3h1M3 4h1'/%3E%3Cpath stroke='%23ffa49a' d='M5 3h1'/%3E%3Cpath stroke='%23ff988d' d='M7 3h1M6 4h1'/%3E%3Cpath stroke='%23ff9184' d='M9 3h1'/%3E%3Cpath stroke='%23ff8e81' d='M10 3h1M4 8h1'/%3E%3Cpath stroke='%23ff8c7e' d='M11 3h1M2 8h1'/%3E%3Cpath stroke='%23ff8576' d='M13 3h1M6 9h1m-4 1h1'/%3E%3Cpath stroke='%23ff7f70' d='M14 3h1M1 5h1m0 5h1m1 2h1'/%3E%3Cpath stroke='%23ff796a' d='M15 3h1M2 11h1'/%3E%3Cpath stroke='%23ff7161' d='M16 3h1M3 14h1'/%3E%3Cpath stroke='%23fc6857' d='M17 3h1'/%3E%3Cpath stroke='%23ed5948' d='M18 3h1M6 18h1'/%3E%3Cpath stroke='%23cb4233' d='M19 3h1'/%3E%3Cpath stroke='%23ff8577' d='M1 4h1m0 5h1'/%3E%3Cpath stroke='%23ffaaa0' d='M2 4h1'/%3E%3Cpath stroke='%23ffa89e' d='M4 4h1'/%3E%3Cpath stroke='%23ff8d7f' d='M8 4h1'/%3E%3Cpath stroke='%23ff8879' d='M9 4h1'/%3E%3Cpath stroke='%23ff8071' d='M11 4h1M8 6h1'/%3E%3Cpath stroke='%23ff7a6b' d='M12 4h1M1 6h1m7 0h1m-6 7h1'/%3E%3Cpath stroke='%23ff7969' d='M13 4h1'/%3E%3Cpath stroke='%23ff7464' d='M14 4h1m-5 2h1'/%3E%3Cpath stroke='%23ff7060' d='M15 4h1'/%3E%3Cpath stroke='%23ff6c5b' d='M16 4h1m-4 1h1'/%3E%3Cpath stroke='%23fc6655' d='M17 4h1'/%3E%3Cpath stroke='%23ef5c4b' d='M18 4h1'/%3E%3Cpath stroke='%23cc4636' d='M19 4h1'/%3E%3Cpath stroke='%23ffa095' d='M2 5h1'/%3E%3Cpath stroke='%23ffa59b' d='M3 5h1'/%3E%3Cpath stroke='%23ff9f94' d='M4 5h1'/%3E%3Cpath stroke='%23ffd5d1' d='M5 5h1'/%3E%3Cpath stroke='%23ff8a7c' d='M7 5h1'/%3E%3Cpath stroke='%23ff7e6f' d='M9 5h1'/%3E%3Cpath stroke='%23ffc2bb' d='M15 5h1'/%3E%3Cpath stroke='%23ff6554' d='M16 5h1'/%3E%3Cpath stroke='%23fc6453' d='M17 5h1'/%3E%3Cpath stroke='%23ee5d4d' d='M18 5h1'/%3E%3Cpath stroke='%23cd4939' d='M19 5h1'/%3E%3Cpath stroke='%23ff998e' d='M2 6h1'/%3E%3Cpath stroke='%23ff9d92' d='M3 6h1'/%3E%3Cpath stroke='%23ff6f5e' d='M11 6h1'/%3E%3Cpath stroke='%23ff6a58' d='M12 6h1'/%3E%3Cpath stroke='%23ff6451' d='M16 6h1'/%3E%3Cpath stroke='%23fd6451' d='M17 6h1'/%3E%3Cpath stroke='%23ee5e4d' d='M18 6h1'/%3E%3Cpath stroke='%23ce4a3a' d='M19 6h1'/%3E%3Cpath stroke='%23ff968a' d='M3 7h1'/%3E%3Cpath stroke='%23ff9487' d='M4 7h1'/%3E%3Cpath stroke='%23ff8f82' d='M5 7h1'/%3E%3Cpath stroke='%23ff7968' d='M9 7h1m-3 8h1'/%3E%3Cpath stroke='%23ff7463' d='M10 7h1'/%3E%3Cpath stroke='%23ff6f5d' d='M11 7h1'/%3E%3Cpath stroke='%23ff6450' d='M15 7h1'/%3E%3Cpath stroke='%23ff6552' d='M16 7h1'/%3E%3Cpath stroke='%23fd6653' d='M17 7h1'/%3E%3Cpath stroke='%23f0604e' d='M18 7h1'/%3E%3Cpath stroke='%23ce4a3b' d='M19 7h1'/%3E%3Cpath stroke='%23ff7565' d='M1 8h1'/%3E%3Cpath stroke='%23ff8677' d='M6 8h1m-2 2h1'/%3E%3Cpath stroke='%23ff7664' d='M10 8h1'/%3E%3Cpath stroke='%23ff6a53' d='M14 8h1'/%3E%3Cpath stroke='%23ff6953' d='M15 8h1'/%3E%3Cpath stroke='%23ff6b55' d='M16 8h1'/%3E%3Cpath stroke='%23fd6b56' d='M17 8h1'/%3E%3Cpath stroke='%23f06350' d='M18 8h1'/%3E%3Cpath stroke='%23cf4c3b' d='M19 8h1'/%3E%3Cpath stroke='%23ff6d5d' d='M1 9h1'/%3E%3Cpath stroke='%23ff8b7c' d='M4 9h1'/%3E%3Cpath stroke='%23ff775d' d='M13 9h1'/%3E%3Cpath stroke='%23ff745a' d='M14 9h1'/%3E%3Cpath stroke='%23ff7359' d='M15 9h1'/%3E%3Cpath stroke='%23ff735a' d='M16 9h1'/%3E%3Cpath stroke='%23fd715a' d='M17 9h1'/%3E%3Cpath stroke='%23f16752' d='M18 9h1'/%3E%3Cpath stroke='%23d24e3c' d='M19 9h1'/%3E%3Cpath stroke='%23ff6a59' d='M1 10h1m2 6h1'/%3E%3Cpath stroke='%23ff8778' d='M4 10h1'/%3E%3Cpath stroke='%23ff8374' d='M6 10h1m-3 1h2'/%3E%3Cpath stroke='%23ff8171' d='M7 10h1m-5 1h1'/%3E%3Cpath stroke='%23ff8271' d='M8 10h1m-2 1h1'/%3E%3Cpath stroke='%23ff8369' d='M12 10h1'/%3E%3Cpath stroke='%23ff8165' d='M13 10h1'/%3E%3Cpath stroke='%23ff7e61' d='M14 10h1'/%3E%3Cpath stroke='%23ff7d5f' d='M15 10h1'/%3E%3Cpath stroke='%23ff7b5f' d='M16 10h1'/%3E%3Cpath stroke='%23fd775d' d='M17 10h1'/%3E%3Cpath stroke='%23f36a53' d='M18 10h1'/%3E%3Cpath stroke='%23d34e3c' d='M19 10h1'/%3E%3Cpath stroke='%23ff6553' d='M1 11h1'/%3E%3Cpath stroke='%23ff8273' d='M6 11h1'/%3E%3Cpath stroke='%23ff8c6c' d='M13 11h1'/%3E%3Cpath stroke='%23ff8969' d='M14 11h1'/%3E%3Cpath stroke='%23ff8665' d='M15 11h1'/%3E%3Cpath stroke='%23ff8262' d='M16 11h1'/%3E%3Cpath stroke='%23fd7c5e' d='M17 11h1'/%3E%3Cpath stroke='%23f46d54' d='M18 11h1'/%3E%3Cpath stroke='%23d64f3b' d='M19 11h1'/%3E%3Cpath stroke='%23ff5f4d' d='M1 12h1'/%3E%3Cpath stroke='%23ff8070' d='M6 12h1'/%3E%3Cpath stroke='%23ff9279' d='M10 12h1'/%3E%3Cpath stroke='%23fff8f6' d='M13 12h1'/%3E%3Cpath stroke='%23ff936f' d='M14 12h1'/%3E%3Cpath stroke='%23ff906c' d='M15 12h1'/%3E%3Cpath stroke='%23ff8967' d='M16 12h1'/%3E%3Cpath stroke='%23fe7f5f' d='M17 12h1'/%3E%3Cpath stroke='%23f56e52' d='M18 12h1'/%3E%3Cpath stroke='%23d84f39' d='M19 12h1'/%3E%3Cpath stroke='%23ff5c4a' d='M1 13h1'/%3E%3Cpath stroke='%23ff7d6e' d='M5 13h1'/%3E%3Cpath stroke='%23ff907a' d='M9 13h1'/%3E%3Cpath stroke='%23ff957c' d='M10 13h1'/%3E%3Cpath stroke='%23ff9a7e' d='M11 13h1'/%3E%3Cpath stroke='%23ff9670' d='M15 13h1'/%3E%3Cpath stroke='%23ff8e68' d='M16 13h1'/%3E%3Cpath stroke='%23fe815e' d='M17 13h1'/%3E%3Cpath stroke='%23f66c4f' d='M18 13h1'/%3E%3Cpath stroke='%23da4d36' d='M19 13h1'/%3E%3Cpath stroke='%23ff5744' d='M1 14h1'/%3E%3Cpath stroke='%23ff6857' d='M2 14h1'/%3E%3Cpath stroke='%23ff8672' d='M8 14h1'/%3E%3Cpath stroke='%23ff8f78' d='M9 14h1'/%3E%3Cpath stroke='%23ff967c' d='M10 14h1'/%3E%3Cpath stroke='%23ff9c7e' d='M11 14h1'/%3E%3Cpath stroke='%23ffa07e' d='M12 14h1'/%3E%3Cpath stroke='%23ff8e66' d='M16 14h1'/%3E%3Cpath stroke='%23fe7f5a' d='M17 14h1m-3 3h1'/%3E%3Cpath stroke='%23f76a4b' d='M18 14h1'/%3E%3Cpath stroke='%23da4a33' d='M19 14h1'/%3E%3Cpath stroke='%23ff523f' d='M1 15h1'/%3E%3Cpath stroke='%23ff7160' d='M4 15h1'/%3E%3Cpath stroke='%23ffc7c1' d='M5 15h1'/%3E%3Cpath stroke='%23ff836f' d='M8 15h1'/%3E%3Cpath stroke='%23ff8b74' d='M9 15h1'/%3E%3Cpath stroke='%23ff9379' d='M10 15h1'/%3E%3Cpath stroke='%23ff9a7c' d='M11 15h1'/%3E%3Cpath stroke='%23ff9e7c' d='M12 15h1'/%3E%3Cpath stroke='%23ffa07a' d='M13 15h1'/%3E%3Cpath stroke='%23ffd5c5' d='M15 15h1'/%3E%3Cpath stroke='%23ff8b62' d='M16 15h1'/%3E%3Cpath stroke='%23fe7c56' d='M17 15h1'/%3E%3Cpath stroke='%23f76545' d='M18 15h1'/%3E%3Cpath stroke='%23db4931' d='M19 15h1'/%3E%3Cpath stroke='%23ff4f3a' d='M1 16h1'/%3E%3Cpath stroke='%23ff5c49' d='M2 16h1'/%3E%3Cpath stroke='%23ff6452' d='M3 16h1'/%3E%3Cpath stroke='%23ff6e5e' d='M5 16h1'/%3E%3Cpath stroke='%23ff7462' d='M7 16h1'/%3E%3Cpath stroke='%23ff7c68' d='M8 16h1'/%3E%3Cpath stroke='%23ff846d' d='M9 16h1'/%3E%3Cpath stroke='%23ff8b71' d='M10 16h1'/%3E%3Cpath stroke='%23ff9174' d='M11 16h1'/%3E%3Cpath stroke='%23ff9674' d='M12 16h1'/%3E%3Cpath stroke='%23ff9571' d='M13 16h1'/%3E%3Cpath stroke='%23ff946d' d='M14 16h1'/%3E%3Cpath stroke='%23ff8d66' d='M15 16h1'/%3E%3Cpath stroke='%23ff855c' d='M16 16h1'/%3E%3Cpath stroke='%23fe7650' d='M17 16h1'/%3E%3Cpath stroke='%23f66141' d='M18 16h1'/%3E%3Cpath stroke='%23da462f' d='M19 16h1'/%3E%3Cpath stroke='%23fa4935' d='M1 17h1'/%3E%3Cpath stroke='%23fb5441' d='M2 17h1'/%3E%3Cpath stroke='%23fc5c4a' d='M3 17h1'/%3E%3Cpath stroke='%23fb6150' d='M4 17h1'/%3E%3Cpath stroke='%23fc6554' d='M5 17h1'/%3E%3Cpath stroke='%23fc6756' d='M6 17h1'/%3E%3Cpath stroke='%23fc6a58' d='M7 17h1'/%3E%3Cpath stroke='%23fc715c' d='M8 17h1'/%3E%3Cpath stroke='%23fc7761' d='M9 17h1'/%3E%3Cpath stroke='%23fd7e64' d='M10 17h1'/%3E%3Cpath stroke='%23fd8367' d='M11 17h1'/%3E%3Cpath stroke='%23fe8566' d='M12 17h1'/%3E%3Cpath stroke='%23fe8664' d='M13 17h1'/%3E%3Cpath stroke='%23fe8460' d='M14 17h1'/%3E%3Cpath stroke='%23fe7651' d='M16 17h1'/%3E%3Cpath stroke='%23fc6b47' d='M17 17h1'/%3E%3Cpath stroke='%23f2573a' d='M18 17h1'/%3E%3Cpath stroke='%23d4402a' d='M19 17h1'/%3E%3Cpath stroke='%23e85848' d='M1 18h1'/%3E%3Cpath stroke='%23ed4a37' d='M2 18h1'/%3E%3Cpath stroke='%23ec4f3d' d='M3 18h1'/%3E%3Cpath stroke='%23ee5443' d='M4 18h1'/%3E%3Cpath stroke='%23ed5746' d='M5 18h1'/%3E%3Cpath stroke='%23ee5a48' d='M7 18h1'/%3E%3Cpath stroke='%23ef5e4b' d='M8 18h1'/%3E%3Cpath stroke='%23f0644e' d='M9 18h1'/%3E%3Cpath stroke='%23f16750' d='M10 18h1'/%3E%3Cpath stroke='%23f46c52' d='M11 18h1'/%3E%3Cpath stroke='%23f66d51' d='M12 18h1'/%3E%3Cpath stroke='%23f66e51' d='M13 18h1'/%3E%3Cpath stroke='%23f66c4e' d='M14 18h1'/%3E%3Cpath stroke='%23f86a4a' d='M15 18h1'/%3E%3Cpath stroke='%23f76343' d='M16 18h1'/%3E%3Cpath stroke='%23f3583a' d='M17 18h1'/%3E%3Cpath stroke='%23e54930' d='M18 18h1'/%3E%3Cpath stroke='%23cd5140' d='M19 18h1'/%3E%3Cpath stroke='%23f6d9d6' d='M1 19h1'/%3E%3Cpath stroke='%23d25344' d='M2 19h1'/%3E%3Cpath stroke='%23c93c2b' d='M3 19h1'/%3E%3Cpath stroke='%23ca3f2f' d='M4 19h1'/%3E%3Cpath stroke='%23ca4131' d='M5 19h1'/%3E%3Cpath stroke='%23ca4333' d='M6 19h1'/%3E%3Cpath stroke='%23cc4332' d='M7 19h1'/%3E%3Cpath stroke='%23cf4434' d='M8 19h1'/%3E%3Cpath stroke='%23d24936' d='M9 19h1'/%3E%3Cpath stroke='%23d34936' d='M10 19h1'/%3E%3Cpath stroke='%23d84b37' d='M11 19h1'/%3E%3Cpath stroke='%23da4c36' d='M12 19h1'/%3E%3Cpath stroke='%23dc4d36' d='M13 19h1'/%3E%3Cpath stroke='%23d94933' d='M14 19h1'/%3E%3Cpath stroke='%23de4a32' d='M15 19h1'/%3E%3Cpath stroke='%23dd482f' d='M16 19h1'/%3E%3Cpath stroke='%23d6402a' d='M17 19h1'/%3E%3Cpath stroke='%23cf5140' d='M18 19h1'/%3E%3Cpath stroke='%23f1d8d5' d='M19 19h1'/%3E%3Cpath stroke='%23fefefe' d='M6 20h1m3 0h1'/%3E%3Cpath stroke='%23fdfdfd' d='M7 20h1m1 0h1'/%3E%3Cpath stroke='%23fcfcfc' d='M8 20h1'/%3E%3C/svg%3E")
			}
			
			.title-bar-controls button[aria-label=Close]: not(: disabled): active{
				background-image: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 21 21' shape-rendering='crispEdges'%3E%3Cpath stroke='%23a7bced' d='M1 0h1M0 1h1'/%3E%3Cpath stroke='%23f4f6fd' d='M2 0h1m15 0h1M0 2h1m19 0h1M0 18h1m19 0h1M2 20h1m15 0h1'/%3E%3Cpath stroke='%23fff' d='M3 0h15M0 3h1m19 0h1M0 4h1m19 0h1M0 5h1m19 0h1M0 6h1m19 0h1M0 7h1m19 0h1M0 8h1m19 0h1M0 9h1m19 0h1M0 10h1m19 0h1M0 11h1m19 0h1M0 12h1m19 0h1M0 13h1m19 0h1M0 14h1m19 0h1M0 15h1m19 0h1M0 16h1m19 0h1M0 17h1m19 0h1M3 20h15'/%3E%3Cpath stroke='%23a7baec' d='M19 0h1m0 1h1'/%3E%3Cpath stroke='%23dad2d0' d='M1 1h1'/%3E%3Cpath stroke='%23643529' d='M2 1h1M1 2h1'/%3E%3Cpath stroke='%235a1d0d' d='M3 1h1'/%3E%3Cpath stroke='%235d1e0d' d='M4 1h1'/%3E%3Cpath stroke='%235f1e0e' d='M5 1h1'/%3E%3Cpath stroke='%2363200e' d='M6 1h1'/%3E%3Cpath stroke='%2368210f' d='M7 1h1'/%3E%3Cpath stroke='%236f2310' d='M8 1h1'/%3E%3Cpath stroke='%23732511' d='M9 1h1'/%3E%3Cpath stroke='%23752511' d='M10 1h1M1 10h1'/%3E%3Cpath stroke='%237c2712' d='M11 1h1'/%3E%3Cpath stroke='%23822912' d='M12 1h1M5 2h1'/%3E%3Cpath stroke='%23852a13' d='M13 1h1M2 5h1m-2 8h1'/%3E%3Cpath stroke='%23892b13' d='M14 1h1'/%3E%3Cpath stroke='%238a2b14' d='M15 1h1M6 2h1'/%3E%3Cpath stroke='%238e2d14' d='M16 1h1M7 2h1'/%3E%3Cpath stroke='%238c2c14' d='M17 1h1M2 6h1'/%3E%3Cpath stroke='%239d4732' d='M18 1h1M1 18h1'/%3E%3Cpath stroke='%23ebd8d3' d='M19 1h1'/%3E%3Cpath stroke='%2369220f' d='M2 2h1'/%3E%3Cpath stroke='%23782611' d='M3 2h1'/%3E%3Cpath stroke='%237e2812' d='M4 2h1'/%3E%3Cpath stroke='%23932e15' d='M8 2h1'/%3E%3Cpath stroke='%239a3016' d='M9 2h1'/%3E%3Cpath stroke='%239c3116' d='M10 2h1'/%3E%3Cpath stroke='%23a03217' d='M11 2h1'/%3E%3Cpath stroke='%23a43418' d='M12 2h1'/%3E%3Cpath stroke='%23a73518' d='M13 2h1'/%3E%3Cpath stroke='%23aa3618' d='M14 2h1M2 14h1'/%3E%3Cpath stroke='%23ab3618' d='M15 2h1'/%3E%3Cpath stroke='%23ad3719' d='M16 2h1m1 0h1M2 16h1m-1 1h1'/%3E%3Cpath stroke='%23ac3618' d='M17 2h1'/%3E%3Cpath stroke='%23b24e35' d='M19 2h1'/%3E%3Cpath stroke='%23591c0d' d='M1 3h1M1 4h1'/%3E%3Cpath stroke='%23792711' d='M2 3h1'/%3E%3Cpath stroke='%238d2c14' d='M3 3h1'/%3E%3Cpath stroke='%23962e15' d='M4 3h1'/%3E%3Cpath stroke='%239a2f16' d='M5 3h1'/%3E%3Cpath stroke='%23a13117' d='M6 3h1'/%3E%3Cpath stroke='%23a63317' d='M7 3h1'/%3E%3Cpath stroke='%23aa3418' d='M8 3h1'/%3E%3Cpath stroke='%23af3619' d='M9 3h1'/%3E%3Cpath stroke='%23b23719' d='M10 3h1M8 4h1M4 8h1'/%3E%3Cpath stroke='%23b5391a' d='M11 3h1'/%3E%3Cpath stroke='%23b73a1b' d='M12 3h1'/%3E%3Cpath stroke='%23b93b1b' d='M13 3h1'/%3E%3Cpath stroke='%23ba3b1b' d='M14 3h2m3 0h1M3 13h1m-1 1h1m-1 5h1'/%3E%3Cpath stroke='%23bb3b1b' d='M16 3h3M3 15h1'/%3E%3Cpath stroke='%23802812' d='M2 4h1m-2 8h1'/%3E%3Cpath stroke='%23962f15' d='M3 4h1'/%3E%3Cpath stroke='%239e3016' d='M4 4h1'/%3E%3Cpath stroke='%23a43216' d='M5 4h1'/%3E%3Cpath stroke='%23aa3317' d='M6 4h1M4 6h1'/%3E%3Cpath stroke='%23ae3518' d='M7 4h1'/%3E%3Cpath stroke='%23b5381a' d='M9 4h1M4 9h1'/%3E%3Cpath stroke='%23b8391a' d='M10 4h1m-7 6h1'/%3E%3Cpath stroke='%23ba3a1b' d='M11 4h1m-8 7h2'/%3E%3Cpath stroke='%23bc3b1c' d='M12 4h1m-9 8h1'/%3E%3Cpath stroke='%23bd3c1c' d='M13 4h1m-1 1h1m-2 1h1m-7 6h1m-3 1h2'/%3E%3Cpath stroke='%23be3d1c' d='M14 4h3m-1 1h1m-1 1h1M4 14h1m-1 1h1m-1 1h2'/%3E%3Cpath stroke='%23bf3d1c' d='M17 4h3m-3 1h3m-2 1h2m-1 1h1M4 17h2m-2 1h4m-4 1h4'/%3E%3Cpath stroke='%235b1d0d' d='M1 5h1'/%3E%3Cpath stroke='%239c3016' d='M3 5h1'/%3E%3Cpath stroke='%23a43217' d='M4 5h1'/%3E%3Cpath stroke='%23b8553e' d='M5 5h1'/%3E%3Cpath stroke='%23d59485' d='M6 5h1M5 6h1'/%3E%3Cpath stroke='%23b33619' d='M7 5h1'/%3E%3Cpath stroke='%23b53719' d='M8 5h1'/%3E%3Cpath stroke='%23b8381a' d='M9 5h1M6 8h1'/%3E%3Cpath stroke='%23b9391b' d='M10 5h1'/%3E%3Cpath stroke='%23ba391b' d='M11 5h1M6 9h1m-2 1h1'/%3E%3Cpath stroke='%23bc3b1b' d='M12 5h1m-2 1h1m-6 5h1m-2 1h1'/%3E%3Cpath stroke='%23dc9887' d='M14 5h1'/%3E%3Cpath stroke='%23c85d42' d='M15 5h1M5 15h1'/%3E%3Cpath stroke='%23611f0e' d='M1 6h1'/%3E%3Cpath stroke='%23a23217' d='M3 6h1'/%3E%3Cpath stroke='%23d79585' d='M6 6h1'/%3E%3Cpath stroke='%23d89585' d='M7 6h1'/%3E%3Cpath stroke='%23b8371a' d='M8 6h1'/%3E%3Cpath stroke='%23ba391a' d='M9 6h1'/%3E%3Cpath stroke='%23bb3a1b' d='M10 6h1m-5 4h1'/%3E%3Cpath stroke='%23dd9887' d='M13 6h3m-4 1h1m-2 1h1M9 9h1m-2 2h1m-2 1h1m-2 1h1m-2 1h2'/%3E%3Cpath stroke='%23c03e1d' d='M17 6h1m-2 1h3m0 1h1m-1 1h1M7 16h1m-2 1h2m0 1h1'/%3E%3Cpath stroke='%2365200e' d='M1 7h1'/%3E%3Cpath stroke='%23902d15' d='M2 7h1'/%3E%3Cpath stroke='%23a73418' d='M3 7h1'/%3E%3Cpath stroke='%23af3518' d='M4 7h1'/%3E%3Cpath stroke='%23b43619' d='M5 7h1'/%3E%3Cpath stroke='%23d99585' d='M6 7h1'/%3E%3Cpath stroke='%23da9686' d='M7 7h1'/%3E%3Cpath stroke='%23db9686' d='M8 7h1M7 8h1'/%3E%3Cpath stroke='%23bc3a1b' d='M9 7h1M7 9h1'/%3E%3Cpath stroke='%23bd3b1b' d='M10 7h1m-4 3h1'/%3E%3Cpath stroke='%23be3c1c' d='M11 7h1m-2 1h1m-3 2h1m-2 1h1'/%3E%3Cpath stroke='%23de9987' d='M13 7h2m-3 1h2m-4 1h2m-3 1h1m-2 2h1m-2 2h1'/%3E%3Cpath stroke='%23c03f1d' d='M15 7h1m-9 8h1'/%3E%3Cpath stroke='%236a220f' d='M1 8h1'/%3E%3Cpath stroke='%23952f15' d='M2 8h1'/%3E%3Cpath stroke='%23ac3518' d='M3 8h1'/%3E%3Cpath stroke='%23b63719' d='M5 8h1'/%3E%3Cpath stroke='%23dc9786' d='M8 8h2M8 9h1'/%3E%3Cpath stroke='%23c2401d' d='M14 8h1m2 0h1m1 3h1M8 14h1m-1 2h1m-1 1h1m0 1h1m1 1h1'/%3E%3Cpath stroke='%23c2401e' d='M15 8h2m1 1h1M8 15h1'/%3E%3Cpath stroke='%23c13f1d' d='M18 8h1m0 2h1M9 19h2'/%3E%3Cpath stroke='%23702410' d='M1 9h1'/%3E%3Cpath stroke='%239b3016' d='M2 9h1'/%3E%3Cpath stroke='%23b03619' d='M3 9h1'/%3E%3Cpath stroke='%23b9381a' d='M5 9h1'/%3E%3Cpath stroke='%23df9a88' d='M12 9h1m-2 1h1m-2 1h1m-2 1h1'/%3E%3Cpath stroke='%23c4421e' d='M13 9h1m2 0h2m0 1h1M9 13h1m9 1h1m-1 1h1M9 16h1m9 0h1M9 17h1m0 1h1m3 1h3'/%3E%3Cpath stroke='%23c5431e' d='M14 9h1'/%3E%3Cpath stroke='%23c5431f' d='M15 9h1m-4 1h1m5 1h1m-9 1h1m-2 2h1m-1 1h1m0 2h1m0 1h1m6 0h1'/%3E%3Cpath stroke='%239e3217' d='M2 10h1'/%3E%3Cpath stroke='%23b4381a' d='M3 10h1'/%3E%3Cpath stroke='%23df9a87' d='M10 10h1m-2 1h1m-2 2h1'/%3E%3Cpath stroke='%23c6441f' d='M13 10h1m3 0h1m-8 3h1m-1 3h1'/%3E%3Cpath stroke='%23c74520' d='M14 10h2m-6 4h1m-1 1h1m7 2h1m-7 1h1m4 0h1'/%3E%3Cpath stroke='%23c7451f' d='M16 10h1m1 2h1'/%3E%3Cpath stroke='%237b2711' d='M1 11h1'/%3E%3Cpath stroke='%23a13217' d='M2 11h1'/%3E%3Cpath stroke='%23b7391a' d='M3 11h1'/%3E%3Cpath stroke='%23e09b88' d='M11 11h1'/%3E%3Cpath stroke='%23e29d89' d='M12 11h1'/%3E%3Cpath stroke='%23c94621' d='M13 11h1m-3 2h1'/%3E%3Cpath stroke='%23ca4721' d='M14 11h1m2 1h1m-7 2h1m-1 1h1m0 2h1m2 1h1'/%3E%3Cpath stroke='%23ca4821' d='M15 11h1m1 6h1'/%3E%3Cpath stroke='%23c94620' d='M16 11h1m1 3h1m-8 2h1m6 0h1'/%3E%3Cpath stroke='%23c84620' d='M17 11h1m0 2h1'/%3E%3Cpath stroke='%23a53418' d='M2 12h1'/%3E%3Cpath stroke='%23b83a1b' d='M3 12h1'/%3E%3Cpath stroke='%23e19d89' d='M11 12h1'/%3E%3Cpath stroke='%23e39e89' d='M12 12h1'/%3E%3Cpath stroke='%23e0947c' d='M13 12h1'/%3E%3Cpath stroke='%23cc4a22' d='M14 12h1m-3 2h1m4 0h1m-6 1h1'/%3E%3Cpath stroke='%23cd4a22' d='M15 12h1m0 1h1m0 2h1m-5 1h1m1 1h1'/%3E%3Cpath stroke='%23cb4922' d='M16 12h1m0 1h1m-5 4h1'/%3E%3Cpath stroke='%23c3411e' d='M19 12h1m-1 1h1m-1 4h1m-8 2h2m3 0h1'/%3E%3Cpath stroke='%23a93618' d='M2 13h1'/%3E%3Cpath stroke='%23dd9987' d='M7 13h1m-2 2h1'/%3E%3Cpath stroke='%23e39f8a' d='M12 13h1'/%3E%3Cpath stroke='%23e59f8b' d='M13 13h1'/%3E%3Cpath stroke='%23e5a08b' d='M14 13h1m-2 1h1'/%3E%3Cpath stroke='%23ce4c23' d='M15 13h1m0 3h1'/%3E%3Cpath stroke='%23882b13' d='M1 14h1'/%3E%3Cpath stroke='%23e6a08b' d='M14 14h1'/%3E%3Cpath stroke='%23e6a18b' d='M15 14h1m-2 1h1'/%3E%3Cpath stroke='%23ce4b23' d='M16 14h1m-4 1h1'/%3E%3Cpath stroke='%238b2c14' d='M1 15h1m-1 1h1'/%3E%3Cpath stroke='%23ac3619' d='M2 15h1'/%3E%3Cpath stroke='%23d76b48' d='M15 15h1'/%3E%3Cpath stroke='%23cf4c23' d='M16 15h1m-2 1h1'/%3E%3Cpath stroke='%23c94721' d='M18 15h1m-3 3h1'/%3E%3Cpath stroke='%23bb3c1b' d='M3 16h1'/%3E%3Cpath stroke='%23bf3e1d' d='M6 16h1'/%3E%3Cpath stroke='%23cb4821' d='M12 16h1'/%3E%3Cpath stroke='%23cd4b23' d='M14 16h1'/%3E%3Cpath stroke='%23cc4922' d='M17 16h1m-4 1h1m1 0h1'/%3E%3Cpath stroke='%238d2d14' d='M1 17h1'/%3E%3Cpath stroke='%23bc3c1b' d='M3 17h1m-1 1h1'/%3E%3Cpath stroke='%23c84520' d='M11 17h1m1 1h1'/%3E%3Cpath stroke='%23ae3719' d='M2 18h1'/%3E%3Cpath stroke='%23c94720' d='M14 18h1'/%3E%3Cpath stroke='%23c95839' d='M19 18h1'/%3E%3Cpath stroke='%23a7bdf0' d='M0 19h1m0 1h1'/%3E%3Cpath stroke='%23ead7d3' d='M1 19h1'/%3E%3Cpath stroke='%23b34e35' d='M2 19h1'/%3E%3Cpath stroke='%23c03e1c' d='M8 19h1'/%3E%3Cpath stroke='%23c9583a' d='M18 19h1'/%3E%3Cpath stroke='%23f3dbd4' d='M19 19h1'/%3E%3Cpath stroke='%23a7bcef' d='M20 19h1m-2 1h1'/%3E%3C/svg%3E")
			}
			
			.status-bar{
				margin: 0 3px;
				box-shadow: inset 0 1px 2px grey;
				padding: 2px 1px;
				gap: 0
			}
			
			.status-bar-field{
				-webkit-font-smoothing: antialiased;
				box-shadow: none;
				padding: 1px 2px;
				border-right: 1px solid rgba(208,206,191,.75);
				border-left: 1px solid hsla(0,0%,100%,.75)
			}
			
			.status-bar-field: first-of-type{
				border-left: none
			}
			
			.status-bar-field: last-of-type{
				border-right: none
			}
			
			button{
				-webkit-font-smoothing: antialiased;
				box-sizing: border-box;
				border: 1px solid #003c74;
				background: linear-gradient(180deg,#fff,#ecebe5 86%,#d8d0c4);
				box-shadow: none;
				border-radius: 3px
			}
			
			button: not(: disabled).active,button: not(: disabled): active{
				box-shadow: none;
				background: linear-gradient(180deg,#cdcac3,#e3e3db 8%,#e5e5de 94%,#f2f2f1)
			}
			
			button: not(: disabled): hover{
				box-shadow: inset -1px 1px #fff0cf,inset 1px 2px #fdd889,inset -2px 2px #fbc761,inset 2px -2px #e5a01a
			}
			
			button.focused,button: focus{
				box-shadow: inset -1px 1px #cee7ff,inset 1px 2px #98b8ea,inset -2px 2px #bcd4f6,inset 1px -1px #89ade4,inset 2px -2px #89ade4
			}
			
			button: :-moz-focus-inner{
				border: 0
			}
			
			input,label,option,select,textarea{
				-webkit-font-smoothing: antialiased
			}
			
			input[type=radio]{
				appearance: none;
				-webkit-appearance: none;
				-moz-appearance: none;
				margin: 0;
				background: 0;
				position: fixed;
				opacity: 0;
				border: none
			}
			
			input[type=radio]+label{
				line-height: 16px
			}
			
			input[type=radio]+label: before{
				background: linear-gradient(135deg,#dcdcd7,#fff);
				border-radius: 50%;
				border: 1px solid #1d5281
			}
			
			input[type=radio]: not([disabled]): not(: active)+label: hover: before{
				box-shadow: inset -2px -2px #f8b636,inset 2px 2px #fedf9c
			}
			
			input[type=radio]: active+label: before{
				background: linear-gradient(135deg,#b0b0a7,#e3e1d2)
			}
			
			input[type=radio]: checked+label: after{
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 5 5' shape-rendering='crispEdges'%3E%3Cpath stroke='%23a9dca6' d='M1 0h1M0 1h1'/%3E%3Cpath stroke='%234dbf4a' d='M2 0h1M0 2h1'/%3E%3Cpath stroke='%23a0d29e' d='M3 0h1M0 3h1'/%3E%3Cpath stroke='%2355d551' d='M1 1h1'/%3E%3Cpath stroke='%2343c33f' d='M2 1h1'/%3E%3Cpath stroke='%2329a826' d='M3 1h1'/%3E%3Cpath stroke='%239acc98' d='M4 1h1M1 4h1'/%3E%3Cpath stroke='%2342c33f' d='M1 2h1'/%3E%3Cpath stroke='%2338b935' d='M2 2h1'/%3E%3Cpath stroke='%2321a121' d='M3 2h1'/%3E%3Cpath stroke='%23269623' d='M4 2h1'/%3E%3Cpath stroke='%232aa827' d='M1 3h1'/%3E%3Cpath stroke='%2322a220' d='M2 3h1'/%3E%3Cpath stroke='%23139210' d='M3 3h1'/%3E%3Cpath stroke='%2398c897' d='M4 3h1'/%3E%3Cpath stroke='%23249624' d='M2 4h1'/%3E%3Cpath stroke='%2398c997' d='M3 4h1'/%3E%3C/svg%3E")
			}
			
			input[type=radio]: focus+label{
				outline: 1px dotted #000
			}
			
			input[type=radio][disabled]+label: before{
				border: 1px solid #cac8bb;
				background: #fff
			}
			
			input[type=radio][disabled]: checked+label: after{
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 5 5' shape-rendering='crispEdges'%3E%3Cpath stroke='%23e8e6da' d='M1 0h1M0 1h1'/%3E%3Cpath stroke='%23d2ceb5' d='M2 0h1M0 2h1'/%3E%3Cpath stroke='%23e5e3d4' d='M3 0h1M0 3h1'/%3E%3Cpath stroke='%23d7d3bd' d='M1 1h1'/%3E%3Cpath stroke='%23d0ccb2' d='M2 1h1M1 2h1'/%3E%3Cpath stroke='%23c7c2a2' d='M3 1h1M1 3h1'/%3E%3Cpath stroke='%23e2dfd0' d='M4 1h1M1 4h1'/%3E%3Cpath stroke='%23cdc8ac' d='M2 2h1'/%3E%3Cpath stroke='%23c5bf9f' d='M3 2h1M2 3h1'/%3E%3Cpath stroke='%23c3bd9c' d='M4 2h1'/%3E%3Cpath stroke='%23bfb995' d='M3 3h1'/%3E%3Cpath stroke='%23e2dfcf' d='M4 3h1M3 4h1'/%3E%3Cpath stroke='%23c4be9d' d='M2 4h1'/%3E%3C/svg%3E")
			}
			
			input[type=email],input[type=password],textarea: :selection{
				background: #2267cb;
				color: #fff
			}
			
			input[type=range]: :-webkit-slider-thumb{
				height: 21px;
				width: 11px;
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 11 21' shape-rendering='crispEdges'%3E%3Cpath stroke='%23becbd3' d='M1 0h1M0 1h1'/%3E%3Cpath stroke='%23b6c5cd' d='M2 0h1M0 2h1'/%3E%3Cpath stroke='%23b5c4cd' d='M3 0h5M0 3h1M0 4h1M0 5h1M0 6h1M0 7h1M0 8h1M0 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23afbfc8' d='M8 0h1M0 14h1'/%3E%3Cpath stroke='%239fb2be' d='M9 0h1M0 15h1'/%3E%3Cpath stroke='%23a6d1b1' d='M1 1h1'/%3E%3Cpath stroke='%236fd16e' d='M2 1h1M1 2h1'/%3E%3Cpath stroke='%2367ce65' d='M3 1h1M1 3h1'/%3E%3Cpath stroke='%2366ce64' d='M4 1h3'/%3E%3Cpath stroke='%2362cd61' d='M7 1h1'/%3E%3Cpath stroke='%2345c343' d='M8 1h1M7 2h1'/%3E%3Cpath stroke='%2363ac76' d='M9 1h1M2 16h1m0 1h1m0 1h1'/%3E%3Cpath stroke='%23879aa6' d='M10 1h1'/%3E%3Cpath stroke='%2363cd62' d='M2 2h1'/%3E%3Cpath stroke='%2349c547' d='M3 2h1M2 3h1'/%3E%3Cpath stroke='%2347c446' d='M4 2h3'/%3E%3Cpath stroke='%2321b71f' d='M8 2h1'/%3E%3Cpath stroke='%231da41c' d='M9 2h1'/%3E%3Cpath stroke='%237d8e99' d='M10 2h1'/%3E%3Cpath stroke='%2325b923' d='M3 3h1'/%3E%3Cpath stroke='%2321b81f' d='M4 3h4M2 15h1'/%3E%3Cpath stroke='%231ea71c' d='M8 3h1'/%3E%3Cpath stroke='%231b9619' d='M9 3h1'/%3E%3Cpath stroke='%23778892' d='M10 3h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f7f7f4' d='M1 4h1M1 5h1M1 6h1M1 7h1M1 8h1M1 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f5f5f2' d='M2 4h1M2 5h1M2 6h1M2 7h1M2 8h1M2 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f3f3ef' d='M3 4h5M3 5h5M3 6h5M3 7h5M3 8h5M3 9h5m-5 1h5m-5 1h5m-5 1h5m-5 1h4m-4 1h3m-2 1h1'/%3E%3Cpath stroke='%23dcdcd9' d='M8 4h1M8 5h1M8 6h1M8 7h1M8 8h1M8 9h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23c3c3c0' d='M9 4h1M9 5h1M9 6h1M9 7h1M9 8h1M9 9h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f1f1ed' d='M7 13h1m-2 1h1m-2 1h1'/%3E%3Cpath stroke='%23dbdbd8' d='M8 13h1'/%3E%3Cpath stroke='%23c4c4c1' d='M9 13h1'/%3E%3Cpath stroke='%234bc549' d='M1 14h1'/%3E%3Cpath stroke='%23f4f4f1' d='M2 14h1'/%3E%3Cpath stroke='%23e6e6e2' d='M7 14h1m-2 1h1'/%3E%3Cpath stroke='%23cececa' d='M8 14h1'/%3E%3Cpath stroke='%231a9319' d='M9 14h1'/%3E%3Cpath stroke='%23788993' d='M10 14h1'/%3E%3Cpath stroke='%2369b17b' d='M1 15h1'/%3E%3Cpath stroke='%23f2f2ee' d='M3 15h1m0 1h1'/%3E%3Cpath stroke='%23d0d0cc' d='M7 15h1m-2 1h1'/%3E%3Cpath stroke='%231a9118' d='M8 15h1m-2 1h1m-2 1h1'/%3E%3Cpath stroke='%234c845a' d='M9 15h1'/%3E%3Cpath stroke='%2372838d' d='M10 15h1'/%3E%3Cpath stroke='%2391a6b2' d='M1 16h1m0 1h1m0 1h1m0 1h1'/%3E%3Cpath stroke='%2321b61f' d='M3 16h1m0 1h1'/%3E%3Cpath stroke='%23e7e7e3' d='M5 16h1'/%3E%3Cpath stroke='%234b8259' d='M8 16h1m-2 1h1m-2 1h1'/%3E%3Cpath stroke='%236e7e88' d='M9 16h1m-2 1h1m-2 1h1m-2 1h1'/%3E%3Cpath stroke='%23d7d7d4' d='M5 17h1'/%3E%3Cpath stroke='%231da21b' d='M5 18h1'/%3E%3Cpath stroke='%23589868' d='M5 19h1'/%3E%3Cpath stroke='%2380929e' d='M5 20h1'/%3E%3C/svg%3E");
				transform: translateY(-8px)
			}
			
			input[type=range]: :-moz-range-thumb{
				height: 21px;
				width: 11px;
				border: 0;
				border-radius: 0;
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 11 21' shape-rendering='crispEdges'%3E%3Cpath stroke='%23becbd3' d='M1 0h1M0 1h1'/%3E%3Cpath stroke='%23b6c5cd' d='M2 0h1M0 2h1'/%3E%3Cpath stroke='%23b5c4cd' d='M3 0h5M0 3h1M0 4h1M0 5h1M0 6h1M0 7h1M0 8h1M0 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23afbfc8' d='M8 0h1M0 14h1'/%3E%3Cpath stroke='%239fb2be' d='M9 0h1M0 15h1'/%3E%3Cpath stroke='%23a6d1b1' d='M1 1h1'/%3E%3Cpath stroke='%236fd16e' d='M2 1h1M1 2h1'/%3E%3Cpath stroke='%2367ce65' d='M3 1h1M1 3h1'/%3E%3Cpath stroke='%2366ce64' d='M4 1h3'/%3E%3Cpath stroke='%2362cd61' d='M7 1h1'/%3E%3Cpath stroke='%2345c343' d='M8 1h1M7 2h1'/%3E%3Cpath stroke='%2363ac76' d='M9 1h1M2 16h1m0 1h1m0 1h1'/%3E%3Cpath stroke='%23879aa6' d='M10 1h1'/%3E%3Cpath stroke='%2363cd62' d='M2 2h1'/%3E%3Cpath stroke='%2349c547' d='M3 2h1M2 3h1'/%3E%3Cpath stroke='%2347c446' d='M4 2h3'/%3E%3Cpath stroke='%2321b71f' d='M8 2h1'/%3E%3Cpath stroke='%231da41c' d='M9 2h1'/%3E%3Cpath stroke='%237d8e99' d='M10 2h1'/%3E%3Cpath stroke='%2325b923' d='M3 3h1'/%3E%3Cpath stroke='%2321b81f' d='M4 3h4M2 15h1'/%3E%3Cpath stroke='%231ea71c' d='M8 3h1'/%3E%3Cpath stroke='%231b9619' d='M9 3h1'/%3E%3Cpath stroke='%23778892' d='M10 3h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f7f7f4' d='M1 4h1M1 5h1M1 6h1M1 7h1M1 8h1M1 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f5f5f2' d='M2 4h1M2 5h1M2 6h1M2 7h1M2 8h1M2 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f3f3ef' d='M3 4h5M3 5h5M3 6h5M3 7h5M3 8h5M3 9h5m-5 1h5m-5 1h5m-5 1h5m-5 1h4m-4 1h3m-2 1h1'/%3E%3Cpath stroke='%23dcdcd9' d='M8 4h1M8 5h1M8 6h1M8 7h1M8 8h1M8 9h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23c3c3c0' d='M9 4h1M9 5h1M9 6h1M9 7h1M9 8h1M9 9h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f1f1ed' d='M7 13h1m-2 1h1m-2 1h1'/%3E%3Cpath stroke='%23dbdbd8' d='M8 13h1'/%3E%3Cpath stroke='%23c4c4c1' d='M9 13h1'/%3E%3Cpath stroke='%234bc549' d='M1 14h1'/%3E%3Cpath stroke='%23f4f4f1' d='M2 14h1'/%3E%3Cpath stroke='%23e6e6e2' d='M7 14h1m-2 1h1'/%3E%3Cpath stroke='%23cececa' d='M8 14h1'/%3E%3Cpath stroke='%231a9319' d='M9 14h1'/%3E%3Cpath stroke='%23788993' d='M10 14h1'/%3E%3Cpath stroke='%2369b17b' d='M1 15h1'/%3E%3Cpath stroke='%23f2f2ee' d='M3 15h1m0 1h1'/%3E%3Cpath stroke='%23d0d0cc' d='M7 15h1m-2 1h1'/%3E%3Cpath stroke='%231a9118' d='M8 15h1m-2 1h1m-2 1h1'/%3E%3Cpath stroke='%234c845a' d='M9 15h1'/%3E%3Cpath stroke='%2372838d' d='M10 15h1'/%3E%3Cpath stroke='%2391a6b2' d='M1 16h1m0 1h1m0 1h1m0 1h1'/%3E%3Cpath stroke='%2321b61f' d='M3 16h1m0 1h1'/%3E%3Cpath stroke='%23e7e7e3' d='M5 16h1'/%3E%3Cpath stroke='%234b8259' d='M8 16h1m-2 1h1m-2 1h1'/%3E%3Cpath stroke='%236e7e88' d='M9 16h1m-2 1h1m-2 1h1m-2 1h1'/%3E%3Cpath stroke='%23d7d7d4' d='M5 17h1'/%3E%3Cpath stroke='%231da21b' d='M5 18h1'/%3E%3Cpath stroke='%23589868' d='M5 19h1'/%3E%3Cpath stroke='%2380929e' d='M5 20h1'/%3E%3C/svg%3E");
				transform: translateY(2px)
			}
			
			input[type=range]: :-webkit-slider-runnable-track{
				width: 100%;
				height: 2px;
				box-sizing: border-box;
				background: #ecebe4;
				border-right: 1px solid #f3f2ea;
				border-bottom: 1px solid #f3f2ea;
				border-radius: 2px;
				box-shadow: 1px 0 0 #fff,1px 1px 0 #fff,0 1px 0 #fff,-1px 0 0 #9d9c99,-1px -1px 0 #9d9c99,0 -1px 0 #9d9c99,-1px 1px 0 #fff,1px -1px #9d9c99
			}
			
			input[type=range]: :-moz-range-track{
				width: 100%;
				height: 2px;
				box-sizing: border-box;
				background: #ecebe4;
				border-right: 1px solid #f3f2ea;
				border-bottom: 1px solid #f3f2ea;
				border-radius: 2px;
				box-shadow: 1px 0 0 #fff,1px 1px 0 #fff,0 1px 0 #fff,-1px 0 0 #9d9c99,-1px -1px 0 #9d9c99,0 -1px 0 #9d9c99,-1px 1px 0 #fff,1px -1px #9d9c99
			}
			
			input[type=range].has-box-indicator: :-webkit-slider-thumb{
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 11 22' shape-rendering='crispEdges'%3E%3Cpath stroke='%23f2f1e7' d='M0 0h1m9 0h1M0 21h1m9 0h1'/%3E%3Cpath stroke='%23879aa6' d='M1 0h1m8 20h1'/%3E%3Cpath stroke='%237d8e99' d='M2 0h1m7 19h1'/%3E%3Cpath stroke='%23778892' d='M3 0h5m2 3h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23788993' d='M8 0h1m1 2h1'/%3E%3Cpath stroke='%2372838d' d='M9 0h1m0 1h1'/%3E%3Cpath stroke='%239fb2be' d='M0 1h1m8 20h1'/%3E%3Cpath stroke='%2363af76' d='M1 1h1m7 19h1'/%3E%3Cpath stroke='%231eab1c' d='M2 1h1m6 18h1'/%3E%3Cpath stroke='%231c9d1a' d='M3 1h1'/%3E%3Cpath stroke='%231b9a1a' d='M4 1h3m1 0h1m0 1h1'/%3E%3Cpath stroke='%231b9b1a' d='M7 1h1'/%3E%3Cpath stroke='%234d875b' d='M9 1h1'/%3E%3Cpath stroke='%23afbfc8' d='M0 2h1m7 19h1'/%3E%3Cpath stroke='%2346ca44' d='M1 2h1m5 17h1m0 1h1'/%3E%3Cpath stroke='%2322be20' d='M2 2h1m5 17h1'/%3E%3Cpath stroke='%231faf1d' d='M3 2h1'/%3E%3Cpath stroke='%231fae1d' d='M4 2h3'/%3E%3Cpath stroke='%231fad1d' d='M7 2h1'/%3E%3Cpath stroke='%231da11b' d='M8 2h1'/%3E%3Cpath stroke='%23b5c4cd' d='M0 3h1M0 4h1M0 5h1M0 6h1M0 7h1M0 8h1M0 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m2 3h5'/%3E%3Cpath stroke='%23f7f7f4' d='M1 3h1M1 4h1M1 5h1M1 6h1M1 7h1M1 8h1M1 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f5f5f2' d='M2 3h1M2 4h1M2 5h1M2 6h1M2 7h1M2 8h1M2 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f3f3ef' d='M3 3h4M3 4h5M3 5h5M3 6h5M3 7h5M3 8h5M3 9h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5'/%3E%3Cpath stroke='%23f1f1ed' d='M7 3h1'/%3E%3Cpath stroke='%23dbdbd8' d='M8 3h1'/%3E%3Cpath stroke='%23c4c4c1' d='M9 3h1'/%3E%3Cpath stroke='%23ddddd9' d='M8 4h1M8 18h1'/%3E%3Cpath stroke='%23c6c6c3' d='M9 4h1M9 18h1'/%3E%3Cpath stroke='%23dcdcd9' d='M8 5h1M8 6h1M8 7h1M8 8h1M8 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23c3c3c0' d='M9 5h1M9 6h1M9 7h1M9 8h1M9 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23b6c5cd' d='M0 19h1m1 2h1'/%3E%3Cpath stroke='%2370d66f' d='M1 19h1m0 1h1'/%3E%3Cpath stroke='%2364d362' d='M2 19h1'/%3E%3Cpath stroke='%234acb48' d='M3 19h1'/%3E%3Cpath stroke='%2348cb46' d='M4 19h3'/%3E%3Cpath stroke='%23becbd3' d='M0 20h1m0 1h1'/%3E%3Cpath stroke='%23a6d2b1' d='M1 20h1'/%3E%3Cpath stroke='%2367d466' d='M3 20h1'/%3E%3Cpath stroke='%2366d465' d='M4 20h3'/%3E%3Cpath stroke='%2363d362' d='M7 20h1'/%3E%3C/svg%3E");transform: translateY(-10px)
			}
			
			input[type=range].has-box-indicator: :-moz-range-thumb{
				background: url("data: image/svg+xml;charset=utf-8,%3Csvg xmlns='http: //www.w3.org/2000/svg' viewBox='0 -0.5 11 22' shape-rendering='crispEdges'%3E%3Cpath stroke='%23f2f1e7' d='M0 0h1m9 0h1M0 21h1m9 0h1'/%3E%3Cpath stroke='%23879aa6' d='M1 0h1m8 20h1'/%3E%3Cpath stroke='%237d8e99' d='M2 0h1m7 19h1'/%3E%3Cpath stroke='%23778892' d='M3 0h5m2 3h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23788993' d='M8 0h1m1 2h1'/%3E%3Cpath stroke='%2372838d' d='M9 0h1m0 1h1'/%3E%3Cpath stroke='%239fb2be' d='M0 1h1m8 20h1'/%3E%3Cpath stroke='%2363af76' d='M1 1h1m7 19h1'/%3E%3Cpath stroke='%231eab1c' d='M2 1h1m6 18h1'/%3E%3Cpath stroke='%231c9d1a' d='M3 1h1'/%3E%3Cpath stroke='%231b9a1a' d='M4 1h3m1 0h1m0 1h1'/%3E%3Cpath stroke='%231b9b1a' d='M7 1h1'/%3E%3Cpath stroke='%234d875b' d='M9 1h1'/%3E%3Cpath stroke='%23afbfc8' d='M0 2h1m7 19h1'/%3E%3Cpath stroke='%2346ca44' d='M1 2h1m5 17h1m0 1h1'/%3E%3Cpath stroke='%2322be20' d='M2 2h1m5 17h1'/%3E%3Cpath stroke='%231faf1d' d='M3 2h1'/%3E%3Cpath stroke='%231fae1d' d='M4 2h3'/%3E%3Cpath stroke='%231fad1d' d='M7 2h1'/%3E%3Cpath stroke='%231da11b' d='M8 2h1'/%3E%3Cpath stroke='%23b5c4cd' d='M0 3h1M0 4h1M0 5h1M0 6h1M0 7h1M0 8h1M0 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m2 3h5'/%3E%3Cpath stroke='%23f7f7f4' d='M1 3h1M1 4h1M1 5h1M1 6h1M1 7h1M1 8h1M1 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f5f5f2' d='M2 3h1M2 4h1M2 5h1M2 6h1M2 7h1M2 8h1M2 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23f3f3ef' d='M3 3h4M3 4h5M3 5h5M3 6h5M3 7h5M3 8h5M3 9h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5m-5 1h5'/%3E%3Cpath stroke='%23f1f1ed' d='M7 3h1'/%3E%3Cpath stroke='%23dbdbd8' d='M8 3h1'/%3E%3Cpath stroke='%23c4c4c1' d='M9 3h1'/%3E%3Cpath stroke='%23ddddd9' d='M8 4h1M8 18h1'/%3E%3Cpath stroke='%23c6c6c3' d='M9 4h1M9 18h1'/%3E%3Cpath stroke='%23dcdcd9' d='M8 5h1M8 6h1M8 7h1M8 8h1M8 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23c3c3c0' d='M9 5h1M9 6h1M9 7h1M9 8h1M9 9h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1m-1 1h1'/%3E%3Cpath stroke='%23b6c5cd' d='M0 19h1m1 2h1'/%3E%3Cpath stroke='%2370d66f' d='M1 19h1m0 1h1'/%3E%3Cpath stroke='%2364d362' d='M2 19h1'/%3E%3Cpath stroke='%234acb48' d='M3 19h1'/%3E%3Cpath stroke='%2348cb46' d='M4 19h3'/%3E%3Cpath stroke='%23becbd3' d='M0 20h1m0 1h1'/%3E%3Cpath stroke='%23a6d2b1' d='M1 20h1'/%3E%3Cpath stroke='%2367d466' d='M3 20h1'/%3E%3Cpath stroke='%2366d465' d='M4 20h3'/%3E%3Cpath stroke='%2363d362' d='M7 20h1'/%3E%3C/svg%3E");transform: translateY(0)
			}
			
			.is-vertical>input[type=range]: :-webkit-slider-runnable-track{
				border-left: 1px solid #f3f2ea;
				border-right: 0;
				border-bottom: 1px solid #f3f2ea;
				box-shadow: -1px 0 0 #fff,-1px 1px 0 #fff,0 1px 0 #fff,1px 0 0 #9d9c99,1px -1px 0 #9d9c99,0 -1px 0 #9d9c99,1px 1px 0 #fff,-1px -1px #9d9c99
			}
			
			.is-vertical>input[type=range]: :-moz-range-track{
				border-left: 1px solid #f3f2ea;
				border-right: 0;
				border-bottom: 1px solid #f3f2ea;
				box-shadow: -1px 0 0 #fff,-1px 1px 0 #fff,0 1px 0 #fff,1px 0 0 #9d9c99,1px -1px 0 #9d9c99,0 -1px 0 #9d9c99,1px 1px 0 #fff,-1px -1px #9d9c99
			}
			
			fieldset{
				box-shadow: none;
				background: #fff;
				border: 1px solid #d0d0bf;
				border-radius: 4px;
				padding-top: 10px
			}
			
			legend{
				background: transparent;
				color: #0046d5
			}
			
			.field-row{
				display: flex;
				align-items: center
			}
			
			.field-row>*+*{
				margin-left: 6px
			}
			
			[class^=field-row]+[class^=field-row]{
				margin-top: 6px
			}
			
			.field-row-stacked{
				display: flex;
				flex-direction: column
			}
			
			.field-row-stacked *+*{
				margin-top: 6px
			}
			
			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"]

			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",
			    "batch_size",
			    "divergence",
			    "detect_batch",
			    "statistic",
			    "significance",
			    "subsets",
			    "feature_id"
			];
			var tab_results_csv_json = [
			    [
			        0,
			        "0_0",
			        "COMPLETED",
			        "Sobol",
			        "GenerationStep_0",
			        0.14,
			        150,
			        1404,
			        4168,
			        "str\\(\\'KL\\'\\)",
			        2,
			        "str\\(\\'stdev\\'\\)",
			        0.23598295125365257,
			        7,
			        10
			    ],
			    [
			        1,
			        "1_0",
			        "COMPLETED",
			        "Sobol",
			        "GenerationStep_0",
			        0.14,
			        166,
			        4578,
			        1666,
			        "str\\(\\'H\\'\\)",
			        2,
			        "str\\(\\'tstat\\'\\)",
			        0.6241745936647057,
			        69,
			        10
			    ],
			    [
			        2,
			        "2_0",
			        "COMPLETED",
			        "Sobol",
			        "GenerationStep_0",
			        0.13,
			        143,
			        2832,
			        2616,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'tstat\\'\\)",
			        0.916222521752119,
			        32,
			        10
			    ],
			    [
			        3,
			        "3_0",
			        "COMPLETED",
			        "Sobol",
			        "GenerationStep_0",
			        0.14,
			        153,
			        1201,
			        118,
			        "str\\(\\'H\\'\\)",
			        3,
			        "str\\(\\'stdev\\'\\)",
			        0.2869372067935765,
			        94,
			        10
			    ],
			    [
			        4,
			        "4_0",
			        "COMPLETED",
			        "Sobol",
			        "GenerationStep_0",
			        0.13,
			        146,
			        414,
			        3572,
			        "str\\(\\'H\\'\\)",
			        3,
			        "str\\(\\'stdev\\'\\)",
			        0.044863894633948805,
			        44,
			        10
			    ],
			    [
			        5,
			        "5_0",
			        "COMPLETED",
			        "Sobol",
			        "GenerationStep_0",
			        0.14,
			        244,
			        3608,
			        1071,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'tstat\\'\\)",
			        0.6593019014261663,
			        82,
			        10
			    ],
			    [
			        6,
			        "6_0",
			        "COMPLETED",
			        "Sobol",
			        "GenerationStep_0",
			        0.13,
			        145,
			        3790,
			        4501,
			        "str\\(\\'H\\'\\)",
			        3,
			        "str\\(\\'tstat\\'\\)",
			        0.8655224065817892,
			        19,
			        10
			    ],
			    [
			        7,
			        "7_0",
			        "COMPLETED",
			        "Sobol",
			        "GenerationStep_0",
			        0.12,
			        133,
			        2178,
			        2002,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'stdev\\'\\)",
			        0.4936404938846827,
			        57,
			        10
			    ],
			    [
			        8,
			        "8_0",
			        "COMPLETED",
			        "Sobol",
			        "GenerationStep_0",
			        0.13,
			        161,
			        2223,
			        3092,
			        "str\\(\\'H\\'\\)",
			        1,
			        "str\\(\\'tstat\\'\\)",
			        0.32097318639047445,
			        45,
			        10
			    ],
			    [
			        9,
			        "9_0",
			        "COMPLETED",
			        "Sobol",
			        "GenerationStep_0",
			        0.13,
			        152,
			        4303,
			        593,
			        "str\\(\\'KL\\'\\)",
			        3,
			        "str\\(\\'stdev\\'\\)",
			        0.9427055984269828,
			        81,
			        10
			    ],
			    [
			        10,
			        "10_0",
			        "COMPLETED",
			        "Sobol",
			        "GenerationStep_0",
			        0.13,
			        151,
			        3260,
			        4042,
			        "str\\(\\'H\\'\\)",
			        2,
			        "str\\(\\'stdev\\'\\)",
			        0.5178059101756662,
			        20,
			        10
			    ],
			    [
			        11,
			        "11_0",
			        "COMPLETED",
			        "Sobol",
			        "GenerationStep_0",
			        0.13,
			        144,
			        223,
			        1541,
			        "str\\(\\'KL\\'\\)",
			        3,
			        "str\\(\\'tstat\\'\\)",
			        0.15324886670149862,
			        56,
			        10
			    ],
			    [
			        12,
			        "12_0",
			        "COMPLETED",
			        "Sobol",
			        "GenerationStep_0",
			        0.13,
			        143,
			        689,
			        4957,
			        "str\\(\\'KL\\'\\)",
			        2,
			        "str\\(\\'tstat\\'\\)",
			        0.3950630417149514,
			        6,
			        10
			    ],
			    [
			        13,
			        "13_0",
			        "COMPLETED",
			        "Sobol",
			        "GenerationStep_0",
			        0.14,
			        132,
			        2788,
			        2458,
			        "str\\(\\'H\\'\\)",
			        2,
			        "str\\(\\'stdev\\'\\)",
			        0.7749856676477939,
			        70,
			        10
			    ],
			    [
			        14,
			        "14_0",
			        "COMPLETED",
			        "Sobol",
			        "GenerationStep_0",
			        0.14,
			        132,
			        4767,
			        3388,
			        "str\\(\\'KL\\'\\)",
			        3,
			        "str\\(\\'stdev\\'\\)",
			        0.7011291123423725,
			        31,
			        10
			    ],
			    [
			        15,
			        "15_0",
			        "COMPLETED",
			        "Sobol",
			        "GenerationStep_0",
			        0.14,
			        243,
			        1750,
			        887,
			        "str\\(\\'H\\'\\)",
			        1,
			        "str\\(\\'tstat\\'\\)",
			        0.06354431878589094,
			        95,
			        10
			    ],
			    [
			        16,
			        "16_0",
			        "COMPLETED",
			        "Sobol",
			        "GenerationStep_0",
			        0.14,
			        148,
			        1577,
			        3204,
			        "str\\(\\'KL\\'\\)",
			        3,
			        "str\\(\\'stdev\\'\\)",
			        0.7954267491549254,
			        63,
			        10
			    ],
			    [
			        17,
			        "17_0",
			        "COMPLETED",
			        "Sobol",
			        "GenerationStep_0",
			        0.14,
			        155,
			        4947,
			        702,
			        "str\\(\\'H\\'\\)",
			        1,
			        "str\\(\\'tstat\\'\\)",
			        0.4078290781117976,
			        13,
			        10
			    ],
			    [
			        18,
			        "18_0",
			        "COMPLETED",
			        "Sobol",
			        "GenerationStep_0",
			        0.13,
			        130,
			        2649,
			        4752,
			        "str\\(\\'KL\\'\\)",
			        3,
			        "str\\(\\'tstat\\'\\)",
			        0.1151119909249246,
			        88,
			        10
			    ],
			    [
			        19,
			        "19_0",
			        "COMPLETED",
			        "Sobol",
			        "GenerationStep_0",
			        0.13,
			        144,
			        822,
			        2253,
			        "str\\(\\'H\\'\\)",
			        1,
			        "str\\(\\'stdev\\'\\)",
			        0.7450217319354415,
			        38,
			        10
			    ],
			    [
			        20,
			        "20_0",
			        "COMPLETED",
			        "Sobol",
			        "GenerationStep_0",
			        0.12,
			        158,
			        45,
			        3760,
			        "str\\(\\'H\\'\\)",
			        1,
			        "str\\(\\'stdev\\'\\)",
			        0.9863488587923348,
			        88,
			        10
			    ],
			    [
			        21,
			        "21_0",
			        "COMPLETED",
			        "Sobol",
			        "GenerationStep_0",
			        0.14,
			        178,
			        3434,
			        1259,
			        "str\\(\\'KL\\'\\)",
			        3,
			        "str\\(\\'tstat\\'\\)",
			        0.37277879655361174,
			        38,
			        10
			    ],
			    [
			        22,
			        "22_0",
			        "COMPLETED",
			        "Sobol",
			        "GenerationStep_0",
			        0.13,
			        140,
			        4168,
			        2829,
			        "str\\(\\'H\\'\\)",
			        2,
			        "str\\(\\'tstat\\'\\)",
			        0.16576553643494846,
			        63,
			        10
			    ],
			    [
			        23,
			        "23_0",
			        "COMPLETED",
			        "Sobol",
			        "GenerationStep_0",
			        0.14,
			        142,
			        2362,
			        330,
			        "str\\(\\'KL\\'\\)",
			        2,
			        "str\\(\\'stdev\\'\\)",
			        0.5384849371425807,
			        13,
			        10
			    ],
			    [
			        24,
			        "24_0",
			        "COMPLETED",
			        "Sobol",
			        "GenerationStep_0",
			        0.13,
			        151,
			        2006,
			        4549,
			        "str\\(\\'H\\'\\)",
			        3,
			        "str\\(\\'tstat\\'\\)",
			        0.6464749222006648,
			        76,
			        10
			    ],
			    [
			        25,
			        "25_0",
			        "COMPLETED",
			        "Sobol",
			        "GenerationStep_0",
			        0.14,
			        154,
			        3968,
			        2050,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'stdev\\'\\)",
			        0.024605522641912105,
			        50,
			        10
			    ],
			    [
			        26,
			        "26_0",
			        "COMPLETED",
			        "Sobol",
			        "GenerationStep_0",
			        0.13,
			        145,
			        3467,
			        3601,
			        "str\\(\\'H\\'\\)",
			        2,
			        "str\\(\\'stdev\\'\\)",
			        0.44956510529108346,
			        51,
			        10
			    ],
			    [
			        27,
			        "27_0",
			        "COMPLETED",
			        "Sobol",
			        "GenerationStep_0",
			        0.14,
			        155,
			        548,
			        1099,
			        "str\\(\\'KL\\'\\)",
			        2,
			        "str\\(\\'tstat\\'\\)",
			        0.8140156177859753,
			        25,
			        10
			    ],
			    [
			        28,
			        "28_0",
			        "COMPLETED",
			        "Sobol",
			        "GenerationStep_0",
			        0.15,
			        173,
			        1023,
			        2723,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'tstat\\'\\)",
			        0.5724298668447882,
			        75,
			        10
			    ],
			    [
			        29,
			        "29_0",
			        "COMPLETED",
			        "Sobol",
			        "GenerationStep_0",
			        0.15,
			        177,
			        3005,
			        224,
			        "str\\(\\'H\\'\\)",
			        2,
			        "str\\(\\'stdev\\'\\)",
			        0.19215692374669016,
			        1,
			        10
			    ],
			    [
			        30,
			        "30_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.14,
			        157,
			        521,
			        520,
			        "str\\(\\'KL\\'\\)",
			        2,
			        "str\\(\\'stdev\\'\\)",
			        0.19443219059302377,
			        46,
			        10
			    ],
			    [
			        31,
			        "31_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.14,
			        154,
			        1128,
			        3244,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'tstat\\'\\)",
			        0.5929423346678039,
			        16,
			        10
			    ],
			    [
			        32,
			        "32_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.14,
			        212,
			        3827,
			        351,
			        "str\\(\\'H\\'\\)",
			        2,
			        "str\\(\\'stdev\\'\\)",
			        0.19711639032490846,
			        65,
			        10
			    ],
			    [
			        33,
			        "33_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.14,
			        155,
			        1261,
			        1205,
			        "str\\(\\'KL\\'\\)",
			        2,
			        "str\\(\\'stdev\\'\\)",
			        0.7316276909313909,
			        44,
			        10
			    ],
			    [
			        34,
			        "34_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.15,
			        168,
			        2056,
			        2894,
			        "str\\(\\'KL\\'\\)",
			        2,
			        "str\\(\\'tstat\\'\\)",
			        0.5856150500555224,
			        37,
			        10
			    ],
			    [
			        35,
			        "35_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.14,
			        155,
			        91,
			        2034,
			        "str\\(\\'KL\\'\\)",
			        2,
			        "str\\(\\'stdev\\'\\)",
			        0.194921742297412,
			        52,
			        10
			    ],
			    [
			        36,
			        "36_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.14,
			        199,
			        2896,
			        1231,
			        "str\\(\\'KL\\'\\)",
			        2,
			        "str\\(\\'stdev\\'\\)",
			        0.1617004397342712,
			        75,
			        10
			    ],
			    [
			        37,
			        "37_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.14,
			        163,
			        4866,
			        2716,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'tstat\\'\\)",
			        0.5704360815453774,
			        7,
			        10
			    ],
			    [
			        38,
			        "38_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.15,
			        226,
			        1939,
			        2532,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'tstat\\'\\)",
			        0.5806630421136232,
			        1,
			        10
			    ],
			    [
			        39,
			        "39_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.14,
			        141,
			        197,
			        1482,
			        "str\\(\\'KL\\'\\)",
			        3,
			        "str\\(\\'stdev\\'\\)",
			        0.6644471809755453,
			        14,
			        10
			    ],
			    [
			        40,
			        "40_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.13,
			        190,
			        265,
			        859,
			        "str\\(\\'H\\'\\)",
			        2,
			        "str\\(\\'stdev\\'\\)",
			        0.16841926061420703,
			        70,
			        10
			    ],
			    [
			        41,
			        "41_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.13,
			        168,
			        1878,
			        3634,
			        "str\\(\\'KL\\'\\)",
			        2,
			        "str\\(\\'tstat\\'\\)",
			        0.5909674727648416,
			        88,
			        10
			    ],
			    [
			        42,
			        "42_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.14,
			        504,
			        3276,
			        48,
			        "str\\(\\'KL\\'\\)",
			        2,
			        "str\\(\\'stdev\\'\\)",
			        0.2868356634525997,
			        62,
			        10
			    ],
			    [
			        43,
			        "43_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.13,
			        137,
			        3447,
			        1807,
			        "str\\(\\'KL\\'\\)",
			        2,
			        "str\\(\\'stdev\\'\\)",
			        0.8002331738141095,
			        46,
			        10
			    ],
			    [
			        44,
			        "44_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.14,
			        263,
			        5000,
			        1143,
			        "str\\(\\'H\\'\\)",
			        2,
			        "str\\(\\'stdev\\'\\)",
			        0.1509390099793588,
			        100,
			        10
			    ],
			    [
			        45,
			        "45_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.15,
			        330,
			        1511,
			        586,
			        "str\\(\\'H\\'\\)",
			        1,
			        "str\\(\\'stdev\\'\\)",
			        0.15503539992250778,
			        82,
			        10
			    ],
			    [
			        46,
			        "46_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.14,
			        542,
			        4385,
			        92,
			        "str\\(\\'H\\'\\)",
			        2,
			        "str\\(\\'stdev\\'\\)",
			        0.3064663666760516,
			        73,
			        10
			    ],
			    [
			        47,
			        "47_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.14,
			        188,
			        2554,
			        98,
			        "str\\(\\'KL\\'\\)",
			        2,
			        "str\\(\\'stdev\\'\\)",
			        0.15158162646367782,
			        43,
			        10
			    ],
			    [
			        48,
			        "48_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.14,
			        144,
			        4327,
			        1235,
			        "str\\(\\'KL\\'\\)",
			        2,
			        "str\\(\\'stdev\\'\\)",
			        0.19718860258329254,
			        44,
			        10
			    ],
			    [
			        49,
			        "49_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.14,
			        184,
			        47,
			        912,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'stdev\\'\\)",
			        0.1686386775264064,
			        55,
			        10
			    ],
			    [
			        50,
			        "50_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.14,
			        142,
			        3286,
			        1481,
			        "str\\(\\'KL\\'\\)",
			        3,
			        "str\\(\\'stdev\\'\\)",
			        0.5462913738641083,
			        24,
			        10
			    ],
			    [
			        51,
			        "51_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.14,
			        312,
			        3394,
			        77,
			        "str\\(\\'H\\'\\)",
			        2,
			        "str\\(\\'stdev\\'\\)",
			        0.10855873906507181,
			        55,
			        10
			    ],
			    [
			        52,
			        "52_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.15,
			        140,
			        1090,
			        2380,
			        "str\\(\\'KL\\'\\)",
			        2,
			        "str\\(\\'stdev\\'\\)",
			        0.7923665718050452,
			        28,
			        10
			    ],
			    [
			        53,
			        "53_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.13,
			        138,
			        140,
			        2503,
			        "str\\(\\'KL\\'\\)",
			        3,
			        "str\\(\\'tstat\\'\\)",
			        0.46155421025990384,
			        99,
			        10
			    ],
			    [
			        54,
			        "54_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.13,
			        133,
			        404,
			        2113,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'tstat\\'\\)",
			        0.5496451084229632,
			        15,
			        10
			    ],
			    [
			        55,
			        "55_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.13,
			        144,
			        2359,
			        1155,
			        "str\\(\\'KL\\'\\)",
			        3,
			        "str\\(\\'stdev\\'\\)",
			        0.25208418152884915,
			        5,
			        10
			    ],
			    [
			        56,
			        "56_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.13,
			        172,
			        3505,
			        2520,
			        "str\\(\\'KL\\'\\)",
			        2,
			        "str\\(\\'stdev\\'\\)",
			        0.12632879244852407,
			        100,
			        10
			    ],
			    [
			        57,
			        "57_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.14,
			        155,
			        3029,
			        971,
			        "str\\(\\'H\\'\\)",
			        2,
			        "str\\(\\'stdev\\'\\)",
			        0.24723839840494957,
			        53,
			        10
			    ],
			    [
			        58,
			        "58_0",
			        "FAILED",
			        "BoTorch",
			        "GenerationStep_1",
			        "",
			        "",
			        916,
			        1,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'stdev\\'\\)",
			        0.12220039498500618,
			        100,
			        10
			    ],
			    [
			        59,
			        "59_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.13,
			        167,
			        2000,
			        3508,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'tstat\\'\\)",
			        0.6422273425199299,
			        52,
			        10
			    ],
			    [
			        60,
			        "60_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.13,
			        151,
			        1379,
			        2126,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'tstat\\'\\)",
			        0.37606634744675566,
			        77,
			        10
			    ],
			    [
			        61,
			        "61_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.14,
			        143,
			        1386,
			        1871,
			        "str\\(\\'KL\\'\\)",
			        2,
			        "str\\(\\'stdev\\'\\)",
			        0.7572042648139969,
			        24,
			        10
			    ],
			    [
			        62,
			        "62_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.15,
			        233,
			        1741,
			        1882,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'tstat\\'\\)",
			        0.5184272123041757,
			        1,
			        10
			    ],
			    [
			        63,
			        "63_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.13,
			        132,
			        1102,
			        3630,
			        "str\\(\\'KL\\'\\)",
			        2,
			        "str\\(\\'stdev\\'\\)",
			        0.8392795044623386,
			        28,
			        10
			    ],
			    [
			        64,
			        "64_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.13,
			        154,
			        1708,
			        4255,
			        "str\\(\\'KL\\'\\)",
			        2,
			        "str\\(\\'tstat\\'\\)",
			        0.6470050431254576,
			        33,
			        10
			    ],
			    [
			        65,
			        "65_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.13,
			        133,
			        1956,
			        4786,
			        "str\\(\\'KL\\'\\)",
			        2,
			        "str\\(\\'tstat\\'\\)",
			        0.6163639666382633,
			        30,
			        10
			    ],
			    [
			        66,
			        "66_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.15,
			        233,
			        1661,
			        4572,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'tstat\\'\\)",
			        0.5893094164707503,
			        2,
			        10
			    ],
			    [
			        67,
			        "67_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.14,
			        124,
			        1449,
			        2877,
			        "str\\(\\'H\\'\\)",
			        2,
			        "str\\(\\'stdev\\'\\)",
			        0.9066519310787383,
			        22,
			        10
			    ],
			    [
			        68,
			        "68_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.14,
			        155,
			        1993,
			        2549,
			        "str\\(\\'H\\'\\)",
			        2,
			        "str\\(\\'tstat\\'\\)",
			        0.49650273750779184,
			        47,
			        10
			    ],
			    [
			        69,
			        "69_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.13,
			        163,
			        1169,
			        1907,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'stdev\\'\\)",
			        0.08327189120299697,
			        80,
			        10
			    ],
			    [
			        70,
			        "70_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.15,
			        240,
			        1750,
			        1528,
			        "str\\(\\'H\\'\\)",
			        1,
			        "str\\(\\'tstat\\'\\)",
			        0.21833671540693722,
			        1,
			        10
			    ],
			    [
			        71,
			        "71_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.14,
			        132,
			        1619,
			        559,
			        "str\\(\\'H\\'\\)",
			        3,
			        "str\\(\\'stdev\\'\\)",
			        0.999,
			        61,
			        10
			    ],
			    [
			        72,
			        "72_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.13,
			        141,
			        1589,
			        3875,
			        "str\\(\\'KL\\'\\)",
			        2,
			        "str\\(\\'tstat\\'\\)",
			        0.9901609863202206,
			        35,
			        10
			    ],
			    [
			        73,
			        "73_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.13,
			        142,
			        1618,
			        4837,
			        "str\\(\\'KL\\'\\)",
			        2,
			        "str\\(\\'tstat\\'\\)",
			        0.2160307703963306,
			        41,
			        10
			    ],
			    [
			        74,
			        "74_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.13,
			        173,
			        1736,
			        1924,
			        "str\\(\\'KL\\'\\)",
			        2,
			        "str\\(\\'tstat\\'\\)",
			        0.5220576114137333,
			        28,
			        10
			    ],
			    [
			        75,
			        "75_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.15,
			        211,
			        1859,
			        3719,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'tstat\\'\\)",
			        0.557164991228547,
			        4,
			        10
			    ],
			    [
			        76,
			        "76_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.12,
			        131,
			        1097,
			        2248,
			        "str\\(\\'H\\'\\)",
			        1,
			        "str\\(\\'tstat\\'\\)",
			        0.001,
			        72,
			        10
			    ],
			    [
			        77,
			        "77_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.14,
			        182,
			        1327,
			        3184,
			        "str\\(\\'H\\'\\)",
			        1,
			        "str\\(\\'stdev\\'\\)",
			        0.3606404532053406,
			        81,
			        10
			    ],
			    [
			        78,
			        "78_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.13,
			        131,
			        1360,
			        4485,
			        "str\\(\\'H\\'\\)",
			        2,
			        "str\\(\\'stdev\\'\\)",
			        0.654262516724892,
			        32,
			        10
			    ],
			    [
			        79,
			        "79_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.14,
			        145,
			        2031,
			        1371,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'tstat\\'\\)",
			        0.1876253770670283,
			        10,
			        10
			    ],
			    [
			        80,
			        "80_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.14,
			        158,
			        1179,
			        4319,
			        "str\\(\\'KL\\'\\)",
			        2,
			        "str\\(\\'stdev\\'\\)",
			        0.001,
			        36,
			        10
			    ],
			    [
			        81,
			        "81_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.13,
			        129,
			        2307,
			        4458,
			        "str\\(\\'H\\'\\)",
			        2,
			        "str\\(\\'tstat\\'\\)",
			        0.001,
			        44,
			        10
			    ],
			    [
			        82,
			        "82_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.13,
			        140,
			        1394,
			        3565,
			        "str\\(\\'H\\'\\)",
			        2,
			        "str\\(\\'stdev\\'\\)",
			        0.999,
			        21,
			        10
			    ],
			    [
			        83,
			        "83_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.13,
			        121,
			        1764,
			        3205,
			        "str\\(\\'KL\\'\\)",
			        2,
			        "str\\(\\'tstat\\'\\)",
			        0.001,
			        29,
			        10
			    ],
			    [
			        84,
			        "84_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.14,
			        168,
			        1772,
			        1237,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'tstat\\'\\)",
			        0.9721317667655422,
			        8,
			        10
			    ],
			    [
			        85,
			        "85_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.13,
			        161,
			        1170,
			        2123,
			        "str\\(\\'H\\'\\)",
			        1,
			        "str\\(\\'stdev\\'\\)",
			        0.9119339275040212,
			        83,
			        10
			    ],
			    [
			        86,
			        "86_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.14,
			        217,
			        1207,
			        1982,
			        "str\\(\\'H\\'\\)",
			        1,
			        "str\\(\\'tstat\\'\\)",
			        0.999,
			        78,
			        10
			    ],
			    [
			        87,
			        "87_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.13,
			        139,
			        1617,
			        2075,
			        "str\\(\\'H\\'\\)",
			        2,
			        "str\\(\\'tstat\\'\\)",
			        0.371184368012331,
			        28,
			        10
			    ],
			    [
			        88,
			        "88_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.13,
			        135,
			        1171,
			        1770,
			        "str\\(\\'KL\\'\\)",
			        2,
			        "str\\(\\'stdev\\'\\)",
			        0.999,
			        18,
			        10
			    ],
			    [
			        89,
			        "89_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.15,
			        243,
			        1928,
			        3028,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'tstat\\'\\)",
			        0.999,
			        1,
			        10
			    ],
			    [
			        90,
			        "90_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.13,
			        138,
			        4618,
			        2306,
			        "str\\(\\'KL\\'\\)",
			        3,
			        "str\\(\\'stdev\\'\\)",
			        0.001,
			        85,
			        10
			    ],
			    [
			        91,
			        "91_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.14,
			        146,
			        767,
			        2228,
			        "str\\(\\'H\\'\\)",
			        2,
			        "str\\(\\'stdev\\'\\)",
			        0.6800776568390307,
			        25,
			        10
			    ],
			    [
			        92,
			        "92_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.14,
			        175,
			        3176,
			        588,
			        "str\\(\\'KL\\'\\)",
			        2,
			        "str\\(\\'stdev\\'\\)",
			        0.15886913188506951,
			        1,
			        10
			    ],
			    [
			        93,
			        "93_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.13,
			        143,
			        315,
			        2557,
			        "str\\(\\'H\\'\\)",
			        2,
			        "str\\(\\'stdev\\'\\)",
			        0.6991784888390327,
			        32,
			        10
			    ],
			    [
			        94,
			        "94_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.14,
			        153,
			        4486,
			        1613,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'stdev\\'\\)",
			        0.001,
			        51,
			        10
			    ],
			    [
			        95,
			        "95_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.15,
			        224,
			        2172,
			        4028,
			        "str\\(\\'H\\'\\)",
			        1,
			        "str\\(\\'tstat\\'\\)",
			        0.7454774113810645,
			        1,
			        10
			    ],
			    [
			        96,
			        "96_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.14,
			        144,
			        1186,
			        281,
			        "str\\(\\'KL\\'\\)",
			        3,
			        "str\\(\\'stdev\\'\\)",
			        0.5319235848124889,
			        100,
			        10
			    ],
			    [
			        97,
			        "97_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.14,
			        148,
			        1840,
			        2648,
			        "str\\(\\'KL\\'\\)",
			        2,
			        "str\\(\\'stdev\\'\\)",
			        0.7020836325663194,
			        32,
			        10
			    ],
			    [
			        98,
			        "98_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.14,
			        170,
			        901,
			        2989,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'tstat\\'\\)",
			        0.6957760706942206,
			        73,
			        10
			    ],
			    [
			        99,
			        "99_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.16,
			        163,
			        5000,
			        1423,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'stdev\\'\\)",
			        0.001,
			        24,
			        10
			    ],
			    [
			        100,
			        "100_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.14,
			        212,
			        2551,
			        456,
			        "str\\(\\'H\\'\\)",
			        1,
			        "str\\(\\'stdev\\'\\)",
			        0.001,
			        55,
			        10
			    ],
			    [
			        101,
			        "101_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.13,
			        169,
			        415,
			        3505,
			        "str\\(\\'H\\'\\)",
			        1,
			        "str\\(\\'tstat\\'\\)",
			        0.582512252252111,
			        73,
			        10
			    ],
			    [
			        102,
			        "102_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.14,
			        130,
			        2162,
			        268,
			        "str\\(\\'KL\\'\\)",
			        3,
			        "str\\(\\'tstat\\'\\)",
			        0.001,
			        100,
			        10
			    ],
			    [
			        103,
			        "103_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.14,
			        157,
			        4940,
			        1552,
			        "str\\(\\'H\\'\\)",
			        1,
			        "str\\(\\'stdev\\'\\)",
			        0.001,
			        45,
			        10
			    ],
			    [
			        104,
			        "104_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.15,
			        221,
			        4253,
			        1,
			        "str\\(\\'KL\\'\\)",
			        3,
			        "str\\(\\'tstat\\'\\)",
			        0.04717621772441404,
			        100,
			        10
			    ],
			    [
			        105,
			        "105_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.13,
			        132,
			        854,
			        2068,
			        "str\\(\\'H\\'\\)",
			        3,
			        "str\\(\\'stdev\\'\\)",
			        0.9714105057807563,
			        16,
			        10
			    ],
			    [
			        106,
			        "106_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.13,
			        142,
			        534,
			        4219,
			        "str\\(\\'H\\'\\)",
			        1,
			        "str\\(\\'tstat\\'\\)",
			        0.6443030434472009,
			        8,
			        10
			    ],
			    [
			        107,
			        "107_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.13,
			        135,
			        4222,
			        2128,
			        "str\\(\\'H\\'\\)",
			        3,
			        "str\\(\\'stdev\\'\\)",
			        0.9255649718065734,
			        18,
			        10
			    ],
			    [
			        108,
			        "108_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.14,
			        144,
			        2362,
			        3325,
			        "str\\(\\'H\\'\\)",
			        2,
			        "str\\(\\'tstat\\'\\)",
			        0.6264043417299526,
			        35,
			        10
			    ],
			    [
			        109,
			        "109_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.13,
			        143,
			        2177,
			        5000,
			        "str\\(\\'H\\'\\)",
			        1,
			        "str\\(\\'tstat\\'\\)",
			        0.5702807405365408,
			        13,
			        10
			    ],
			    [
			        110,
			        "110_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.13,
			        141,
			        448,
			        2168,
			        "str\\(\\'KL\\'\\)",
			        3,
			        "str\\(\\'stdev\\'\\)",
			        0.001,
			        93,
			        10
			    ],
			    [
			        111,
			        "111_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.13,
			        145,
			        4501,
			        1522,
			        "str\\(\\'H\\'\\)",
			        1,
			        "str\\(\\'tstat\\'\\)",
			        0.001,
			        50,
			        10
			    ],
			    [
			        112,
			        "112_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.13,
			        134,
			        3798,
			        2116,
			        "str\\(\\'KL\\'\\)",
			        3,
			        "str\\(\\'stdev\\'\\)",
			        0.999,
			        100,
			        10
			    ],
			    [
			        113,
			        "113_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.13,
			        138,
			        2156,
			        2345,
			        "str\\(\\'H\\'\\)",
			        3,
			        "str\\(\\'tstat\\'\\)",
			        0.001,
			        82,
			        10
			    ],
			    [
			        114,
			        "114_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.14,
			        169,
			        2886,
			        4196,
			        "str\\(\\'H\\'\\)",
			        1,
			        "str\\(\\'tstat\\'\\)",
			        0.6633708750391779,
			        6,
			        10
			    ],
			    [
			        115,
			        "115_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.13,
			        138,
			        3649,
			        2243,
			        "str\\(\\'H\\'\\)",
			        3,
			        "str\\(\\'tstat\\'\\)",
			        0.4690706927593601,
			        16,
			        10
			    ],
			    [
			        116,
			        "116_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.14,
			        175,
			        2813,
			        828,
			        "str\\(\\'H\\'\\)",
			        2,
			        "str\\(\\'stdev\\'\\)",
			        0.05225158753823179,
			        1,
			        10
			    ],
			    [
			        117,
			        "117_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.13,
			        144,
			        580,
			        2636,
			        "str\\(\\'KL\\'\\)",
			        2,
			        "str\\(\\'stdev\\'\\)",
			        0.5673801410382406,
			        22,
			        10
			    ],
			    [
			        118,
			        "118_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.13,
			        136,
			        5000,
			        1255,
			        "str\\(\\'H\\'\\)",
			        1,
			        "str\\(\\'tstat\\'\\)",
			        0.001,
			        54,
			        10
			    ],
			    [
			        119,
			        "119_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.14,
			        170,
			        1537,
			        504,
			        "str\\(\\'H\\'\\)",
			        2,
			        "str\\(\\'stdev\\'\\)",
			        0.055599481283506565,
			        3,
			        10
			    ],
			    [
			        120,
			        "120_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.14,
			        150,
			        2556,
			        2975,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'stdev\\'\\)",
			        0.001,
			        22,
			        10
			    ],
			    [
			        121,
			        "121_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.14,
			        150,
			        2206,
			        696,
			        "str\\(\\'KL\\'\\)",
			        3,
			        "str\\(\\'stdev\\'\\)",
			        0.6968243041614524,
			        34,
			        10
			    ],
			    [
			        122,
			        "122_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.14,
			        158,
			        4790,
			        2035,
			        "str\\(\\'H\\'\\)",
			        1,
			        "str\\(\\'stdev\\'\\)",
			        0.001,
			        19,
			        10
			    ],
			    [
			        123,
			        "123_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.14,
			        179,
			        3364,
			        494,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'stdev\\'\\)",
			        0.001,
			        25,
			        10
			    ],
			    [
			        124,
			        "124_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.14,
			        170,
			        2951,
			        805,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'stdev\\'\\)",
			        0.001,
			        30,
			        10
			    ],
			    [
			        125,
			        "125_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.13,
			        146,
			        2744,
			        2776,
			        "str\\(\\'H\\'\\)",
			        1,
			        "str\\(\\'stdev\\'\\)",
			        0.001,
			        18,
			        10
			    ],
			    [
			        126,
			        "126_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.13,
			        153,
			        933,
			        4290,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'stdev\\'\\)",
			        0.001,
			        18,
			        10
			    ],
			    [
			        127,
			        "127_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.14,
			        146,
			        5000,
			        3390,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'stdev\\'\\)",
			        0.001,
			        25,
			        10
			    ],
			    [
			        128,
			        "128_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.14,
			        161,
			        1609,
			        758,
			        "str\\(\\'KL\\'\\)",
			        3,
			        "str\\(\\'tstat\\'\\)",
			        0.6722595863394843,
			        41,
			        10
			    ],
			    [
			        129,
			        "129_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.15,
			        174,
			        3406,
			        1035,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'stdev\\'\\)",
			        0.001,
			        17,
			        10
			    ],
			    [
			        130,
			        "130_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.15,
			        146,
			        769,
			        370,
			        "str\\(\\'H\\'\\)",
			        3,
			        "str\\(\\'tstat\\'\\)",
			        0.7032602698708011,
			        44,
			        10
			    ],
			    [
			        131,
			        "131_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.14,
			        162,
			        3844,
			        1183,
			        "str\\(\\'H\\'\\)",
			        1,
			        "str\\(\\'stdev\\'\\)",
			        0.001,
			        16,
			        10
			    ],
			    [
			        132,
			        "132_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.14,
			        147,
			        4011,
			        480,
			        "str\\(\\'KL\\'\\)",
			        3,
			        "str\\(\\'stdev\\'\\)",
			        0.7073008024742139,
			        30,
			        10
			    ],
			    [
			        133,
			        "133_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.13,
			        153,
			        1354,
			        4828,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'tstat\\'\\)",
			        0.8129751957068607,
			        74,
			        10
			    ],
			    [
			        134,
			        "134_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.14,
			        154,
			        4938,
			        2830,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'stdev\\'\\)",
			        0.001,
			        24,
			        10
			    ],
			    [
			        135,
			        "135_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.14,
			        164,
			        2073,
			        50,
			        "str\\(\\'H\\'\\)",
			        1,
			        "str\\(\\'stdev\\'\\)",
			        0.001,
			        18,
			        10
			    ],
			    [
			        136,
			        "136_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.13,
			        142,
			        3719,
			        4608,
			        "str\\(\\'KL\\'\\)",
			        3,
			        "str\\(\\'tstat\\'\\)",
			        0.6498820110830629,
			        43,
			        10
			    ],
			    [
			        137,
			        "137_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.15,
			        172,
			        3868,
			        55,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'stdev\\'\\)",
			        0.08686269362196467,
			        24,
			        10
			    ],
			    [
			        138,
			        "138_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.14,
			        152,
			        3934,
			        2386,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'stdev\\'\\)",
			        0.001,
			        29,
			        10
			    ],
			    [
			        139,
			        "139_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.14,
			        156,
			        4544,
			        548,
			        "str\\(\\'KL\\'\\)",
			        2,
			        "str\\(\\'stdev\\'\\)",
			        0.001,
			        27,
			        10
			    ],
			    [
			        140,
			        "140_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.14,
			        167,
			        3531,
			        912,
			        "str\\(\\'H\\'\\)",
			        1,
			        "str\\(\\'stdev\\'\\)",
			        0.001,
			        22,
			        10
			    ],
			    [
			        141,
			        "141_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.14,
			        157,
			        4945,
			        1958,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'stdev\\'\\)",
			        0.001,
			        18,
			        10
			    ],
			    [
			        142,
			        "142_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.14,
			        157,
			        161,
			        461,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'stdev\\'\\)",
			        0.001,
			        19,
			        10
			    ],
			    [
			        143,
			        "143_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.15,
			        175,
			        4730,
			        253,
			        "str\\(\\'H\\'\\)",
			        1,
			        "str\\(\\'stdev\\'\\)",
			        0.001,
			        22,
			        10
			    ],
			    [
			        144,
			        "144_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.14,
			        143,
			        2581,
			        3861,
			        "str\\(\\'KL\\'\\)",
			        3,
			        "str\\(\\'tstat\\'\\)",
			        0.6528648355923274,
			        51,
			        10
			    ],
			    [
			        145,
			        "145_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.13,
			        148,
			        1063,
			        4916,
			        "str\\(\\'KL\\'\\)",
			        3,
			        "str\\(\\'tstat\\'\\)",
			        0.9123795839379509,
			        66,
			        10
			    ],
			    [
			        146,
			        "146_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.13,
			        152,
			        3090,
			        4011,
			        "str\\(\\'KL\\'\\)",
			        3,
			        "str\\(\\'tstat\\'\\)",
			        0.999,
			        54,
			        10
			    ],
			    [
			        147,
			        "147_0",
			        "FAILED",
			        "BoTorch",
			        "GenerationStep_1",
			        "",
			        "",
			        3977,
			        1,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'stdev\\'\\)",
			        0.03455185858361566,
			        13,
			        10
			    ],
			    [
			        148,
			        "148_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.13,
			        139,
			        4903,
			        3783,
			        "str\\(\\'KL\\'\\)",
			        3,
			        "str\\(\\'tstat\\'\\)",
			        0.9899284564118888,
			        67,
			        10
			    ],
			    [
			        149,
			        "149_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.13,
			        154,
			        4931,
			        4255,
			        "str\\(\\'KL\\'\\)",
			        3,
			        "str\\(\\'tstat\\'\\)",
			        0.6629753621581677,
			        53,
			        10
			    ],
			    [
			        150,
			        "150_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.15,
			        221,
			        1616,
			        438,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'tstat\\'\\)",
			        0.537977975513308,
			        1,
			        10
			    ],
			    [
			        151,
			        "151_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.15,
			        228,
			        2654,
			        5000,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'tstat\\'\\)",
			        0.8696301509286326,
			        1,
			        10
			    ],
			    [
			        152,
			        "152_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.14,
			        145,
			        4561,
			        342,
			        "str\\(\\'H\\'\\)",
			        3,
			        "str\\(\\'tstat\\'\\)",
			        0.058905256429461525,
			        95,
			        10
			    ],
			    [
			        153,
			        "153_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.14,
			        154,
			        3416,
			        509,
			        "str\\(\\'H\\'\\)",
			        3,
			        "str\\(\\'stdev\\'\\)",
			        0.6033050877633651,
			        68,
			        10
			    ],
			    [
			        154,
			        "154_0",
			        "FAILED",
			        "BoTorch",
			        "GenerationStep_1",
			        "",
			        "",
			        2454,
			        1,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'stdev\\'\\)",
			        0.4230438754323621,
			        1,
			        10
			    ],
			    [
			        155,
			        "155_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.14,
			        146,
			        1715,
			        446,
			        "str\\(\\'H\\'\\)",
			        3,
			        "str\\(\\'tstat\\'\\)",
			        0.681117755191444,
			        56,
			        10
			    ],
			    [
			        156,
			        "156_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.15,
			        145,
			        2081,
			        3136,
			        "str\\(\\'KL\\'\\)",
			        3,
			        "str\\(\\'stdev\\'\\)",
			        0.7434988301044317,
			        25,
			        10
			    ],
			    [
			        157,
			        "157_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.15,
			        223,
			        3165,
			        3444,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'tstat\\'\\)",
			        0.6474914361984756,
			        1,
			        10
			    ],
			    [
			        158,
			        "158_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.13,
			        146,
			        1488,
			        2300,
			        "str\\(\\'H\\'\\)",
			        3,
			        "str\\(\\'tstat\\'\\)",
			        0.7172952854862796,
			        37,
			        10
			    ],
			    [
			        159,
			        "159_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.14,
			        148,
			        1540,
			        1795,
			        "str\\(\\'H\\'\\)",
			        3,
			        "str\\(\\'tstat\\'\\)",
			        0.874573179628269,
			        54,
			        10
			    ],
			    [
			        160,
			        "160_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.15,
			        220,
			        4445,
			        1183,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'stdev\\'\\)",
			        0.5056429652696527,
			        1,
			        10
			    ],
			    [
			        161,
			        "161_0",
			        "FAILED",
			        "BoTorch",
			        "GenerationStep_1",
			        "",
			        "",
			        252,
			        1,
			        "str\\(\\'H\\'\\)",
			        1,
			        "str\\(\\'tstat\\'\\)",
			        0.7085169100655345,
			        1,
			        10
			    ],
			    [
			        162,
			        "162_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.13,
			        190,
			        3678,
			        1910,
			        "str\\(\\'H\\'\\)",
			        1,
			        "str\\(\\'tstat\\'\\)",
			        0.001,
			        100,
			        10
			    ],
			    [
			        163,
			        "163_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.14,
			        147,
			        572,
			        578,
			        "str\\(\\'KL\\'\\)",
			        3,
			        "str\\(\\'tstat\\'\\)",
			        0.7478108686377645,
			        69,
			        10
			    ],
			    [
			        164,
			        "164_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.15,
			        230,
			        4575,
			        692,
			        "str\\(\\'H\\'\\)",
			        1,
			        "str\\(\\'tstat\\'\\)",
			        0.7249853618858718,
			        1,
			        10
			    ],
			    [
			        165,
			        "165_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.15,
			        239,
			        3286,
			        1160,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'tstat\\'\\)",
			        0.28142143693715355,
			        1,
			        10
			    ],
			    [
			        166,
			        "166_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.14,
			        149,
			        2381,
			        1267,
			        "str\\(\\'H\\'\\)",
			        3,
			        "str\\(\\'tstat\\'\\)",
			        0.9022528045811098,
			        57,
			        10
			    ],
			    [
			        167,
			        "167_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.14,
			        156,
			        2432,
			        436,
			        "str\\(\\'KL\\'\\)",
			        3,
			        "str\\(\\'stdev\\'\\)",
			        0.001,
			        54,
			        10
			    ],
			    [
			        168,
			        "168_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.15,
			        221,
			        1352,
			        426,
			        "str\\(\\'H\\'\\)",
			        1,
			        "str\\(\\'stdev\\'\\)",
			        0.6077977378588117,
			        1,
			        10
			    ],
			    [
			        169,
			        "169_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.13,
			        180,
			        4481,
			        2376,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'tstat\\'\\)",
			        0.6365664323234629,
			        81,
			        10
			    ],
			    [
			        170,
			        "170_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.14,
			        166,
			        4685,
			        347,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'stdev\\'\\)",
			        0.03666600529977814,
			        9,
			        10
			    ],
			    [
			        171,
			        "171_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.14,
			        148,
			        399,
			        522,
			        "str\\(\\'KL\\'\\)",
			        3,
			        "str\\(\\'tstat\\'\\)",
			        0.999,
			        41,
			        10
			    ],
			    [
			        172,
			        "172_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.15,
			        230,
			        1616,
			        5000,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'stdev\\'\\)",
			        0.999,
			        1,
			        10
			    ],
			    [
			        173,
			        "173_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.14,
			        147,
			        16,
			        1580,
			        "str\\(\\'H\\'\\)",
			        3,
			        "str\\(\\'tstat\\'\\)",
			        0.999,
			        46,
			        10
			    ],
			    [
			        174,
			        "174_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.15,
			        235,
			        4336,
			        374,
			        "str\\(\\'H\\'\\)",
			        1,
			        "str\\(\\'tstat\\'\\)",
			        0.11413264149025813,
			        1,
			        10
			    ],
			    [
			        175,
			        "175_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.14,
			        153,
			        1,
			        678,
			        "str\\(\\'KL\\'\\)",
			        3,
			        "str\\(\\'tstat\\'\\)",
			        0.999,
			        18,
			        10
			    ],
			    [
			        176,
			        "176_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.14,
			        147,
			        4442,
			        2103,
			        "str\\(\\'KL\\'\\)",
			        3,
			        "str\\(\\'stdev\\'\\)",
			        0.4428860987369382,
			        70,
			        10
			    ],
			    [
			        177,
			        "177_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.13,
			        133,
			        1,
			        2289,
			        "str\\(\\'H\\'\\)",
			        3,
			        "str\\(\\'stdev\\'\\)",
			        0.999,
			        64,
			        10
			    ],
			    [
			        178,
			        "178_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.15,
			        247,
			        1541,
			        2153,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'stdev\\'\\)",
			        0.5961821447140094,
			        1,
			        10
			    ],
			    [
			        179,
			        "179_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.14,
			        132,
			        5000,
			        551,
			        "str\\(\\'H\\'\\)",
			        3,
			        "str\\(\\'tstat\\'\\)",
			        0.001,
			        100,
			        10
			    ],
			    [
			        180,
			        "180_0",
			        "FAILED",
			        "BoTorch",
			        "GenerationStep_1",
			        "",
			        "",
			        5000,
			        1,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'tstat\\'\\)",
			        0.999,
			        1,
			        10
			    ],
			    [
			        181,
			        "181_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.15,
			        213,
			        5000,
			        1,
			        "str\\(\\'KL\\'\\)",
			        3,
			        "str\\(\\'stdev\\'\\)",
			        0.001,
			        25,
			        10
			    ],
			    [
			        182,
			        "182_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.14,
			        152,
			        4072,
			        610,
			        "str\\(\\'H\\'\\)",
			        3,
			        "str\\(\\'stdev\\'\\)",
			        0.001,
			        62,
			        10
			    ],
			    [
			        183,
			        "183_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.15,
			        244,
			        4055,
			        4242,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'stdev\\'\\)",
			        0.999,
			        1,
			        10
			    ],
			    [
			        184,
			        "184_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.15,
			        213,
			        4405,
			        1,
			        "str\\(\\'KL\\'\\)",
			        3,
			        "str\\(\\'tstat\\'\\)",
			        0.999,
			        1,
			        10
			    ],
			    [
			        185,
			        "185_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.14,
			        149,
			        4917,
			        1471,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'stdev\\'\\)",
			        0.999,
			        18,
			        10
			    ],
			    [
			        186,
			        "186_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.15,
			        151,
			        3333,
			        1175,
			        "str\\(\\'KL\\'\\)",
			        3,
			        "str\\(\\'stdev\\'\\)",
			        0.001,
			        20,
			        10
			    ],
			    [
			        187,
			        "187_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.14,
			        147,
			        2786,
			        768,
			        "str\\(\\'H\\'\\)",
			        3,
			        "str\\(\\'tstat\\'\\)",
			        0.999,
			        1,
			        10
			    ],
			    [
			        188,
			        "188_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.13,
			        146,
			        1,
			        5000,
			        "str\\(\\'H\\'\\)",
			        3,
			        "str\\(\\'stdev\\'\\)",
			        0.001,
			        1,
			        10
			    ],
			    [
			        189,
			        "189_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.13,
			        143,
			        5000,
			        4372,
			        "str\\(\\'KL\\'\\)",
			        3,
			        "str\\(\\'tstat\\'\\)",
			        0.999,
			        1,
			        10
			    ],
			    [
			        190,
			        "190_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.13,
			        162,
			        5000,
			        5000,
			        "str\\(\\'KL\\'\\)",
			        3,
			        "str\\(\\'stdev\\'\\)",
			        0.999,
			        1,
			        10
			    ],
			    [
			        191,
			        "191_0",
			        "FAILED",
			        "BoTorch",
			        "GenerationStep_1",
			        "",
			        "",
			        5000,
			        1,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'stdev\\'\\)",
			        0.001,
			        21,
			        10
			    ],
			    [
			        192,
			        "192_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.14,
			        171,
			        5000,
			        5000,
			        "str\\(\\'KL\\'\\)",
			        2,
			        "str\\(\\'tstat\\'\\)",
			        0.001,
			        1,
			        10
			    ],
			    [
			        193,
			        "193_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.13,
			        134,
			        1,
			        415,
			        "str\\(\\'H\\'\\)",
			        3,
			        "str\\(\\'tstat\\'\\)",
			        0.001,
			        100,
			        10
			    ],
			    [
			        194,
			        "194_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.12,
			        134,
			        4284,
			        3825,
			        "str\\(\\'H\\'\\)",
			        3,
			        "str\\(\\'tstat\\'\\)",
			        0.001,
			        1,
			        10
			    ],
			    [
			        195,
			        "195_0",
			        "FAILED",
			        "BoTorch",
			        "GenerationStep_1",
			        "",
			        "",
			        1,
			        1,
			        "str\\(\\'H\\'\\)",
			        1,
			        "str\\(\\'tstat\\'\\)",
			        0.999,
			        1,
			        10
			    ],
			    [
			        196,
			        "196_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.15,
			        222,
			        1812,
			        4205,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'tstat\\'\\)",
			        0.001,
			        1,
			        10
			    ],
			    [
			        197,
			        "197_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.13,
			        174,
			        2768,
			        3567,
			        "str\\(\\'KL\\'\\)",
			        3,
			        "str\\(\\'stdev\\'\\)",
			        0.001,
			        28,
			        10
			    ],
			    [
			        198,
			        "198_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.13,
			        155,
			        1547,
			        10,
			        "str\\(\\'KL\\'\\)",
			        3,
			        "str\\(\\'stdev\\'\\)",
			        0.999,
			        21,
			        10
			    ],
			    [
			        199,
			        "199_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.15,
			        239,
			        5000,
			        2746,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'tstat\\'\\)",
			        0.001,
			        1,
			        10
			    ],
			    [
			        200,
			        "200_0",
			        "FAILED",
			        "BoTorch",
			        "GenerationStep_1",
			        "",
			        "",
			        1,
			        1,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'tstat\\'\\)",
			        0.999,
			        5,
			        10
			    ],
			    [
			        201,
			        "201_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.14,
			        147,
			        4646,
			        618,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'stdev\\'\\)",
			        0.999,
			        22,
			        10
			    ],
			    [
			        202,
			        "202_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.13,
			        147,
			        4226,
			        2727,
			        "str\\(\\'KL\\'\\)",
			        3,
			        "str\\(\\'tstat\\'\\)",
			        0.999,
			        1,
			        10
			    ],
			    [
			        203,
			        "203_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.13,
			        130,
			        5000,
			        2420,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'stdev\\'\\)",
			        0.999,
			        19,
			        10
			    ],
			    [
			        204,
			        "204_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.15,
			        215,
			        1957,
			        1,
			        "str\\(\\'KL\\'\\)",
			        3,
			        "str\\(\\'stdev\\'\\)",
			        0.001,
			        18,
			        10
			    ],
			    [
			        205,
			        "205_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.13,
			        135,
			        5000,
			        1366,
			        "str\\(\\'KL\\'\\)",
			        2,
			        "str\\(\\'stdev\\'\\)",
			        0.999,
			        17,
			        10
			    ],
			    [
			        206,
			        "206_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.14,
			        169,
			        1,
			        554,
			        "str\\(\\'KL\\'\\)",
			        2,
			        "str\\(\\'tstat\\'\\)",
			        0.999,
			        1,
			        10
			    ],
			    [
			        207,
			        "207_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.15,
			        229,
			        5000,
			        2719,
			        "str\\(\\'H\\'\\)",
			        1,
			        "str\\(\\'stdev\\'\\)",
			        0.999,
			        1,
			        10
			    ],
			    [
			        208,
			        "208_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.13,
			        144,
			        1325,
			        5000,
			        "str\\(\\'KL\\'\\)",
			        3,
			        "str\\(\\'stdev\\'\\)",
			        0.999,
			        6,
			        10
			    ],
			    [
			        209,
			        "209_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.13,
			        148,
			        4803,
			        4784,
			        "str\\(\\'H\\'\\)",
			        3,
			        "str\\(\\'tstat\\'\\)",
			        0.999,
			        1,
			        10
			    ],
			    [
			        210,
			        "210_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.13,
			        162,
			        2905,
			        594,
			        "str\\(\\'H\\'\\)",
			        2,
			        "str\\(\\'stdev\\'\\)",
			        0.999,
			        63,
			        10
			    ],
			    [
			        211,
			        "211_0",
			        "FAILED",
			        "BoTorch",
			        "GenerationStep_1",
			        "",
			        "",
			        5000,
			        1,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'tstat\\'\\)",
			        0.942496309546359,
			        1,
			        10
			    ],
			    [
			        212,
			        "212_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.13,
			        151,
			        3858,
			        1801,
			        "str\\(\\'KL\\'\\)",
			        3,
			        "str\\(\\'stdev\\'\\)",
			        0.001,
			        21,
			        10
			    ],
			    [
			        213,
			        "213_0",
			        "FAILED",
			        "BoTorch",
			        "GenerationStep_1",
			        "",
			        "",
			        120,
			        1,
			        "str\\(\\'H\\'\\)",
			        1,
			        "str\\(\\'stdev\\'\\)",
			        0.999,
			        1,
			        10
			    ],
			    [
			        214,
			        "214_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.14,
			        164,
			        3185,
			        1463,
			        "str\\(\\'KL\\'\\)",
			        2,
			        "str\\(\\'stdev\\'\\)",
			        0.001,
			        18,
			        10
			    ],
			    [
			        215,
			        "215_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.14,
			        151,
			        4648,
			        664,
			        "str\\(\\'KL\\'\\)",
			        2,
			        "str\\(\\'stdev\\'\\)",
			        0.001,
			        21,
			        10
			    ],
			    [
			        216,
			        "216_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.14,
			        142,
			        2338,
			        1454,
			        "str\\(\\'H\\'\\)",
			        2,
			        "str\\(\\'stdev\\'\\)",
			        0.999,
			        53,
			        10
			    ],
			    [
			        217,
			        "191_0",
			        "FAILED",
			        "BoTorch",
			        "GenerationStep_1",
			        "",
			        "",
			        5000,
			        1,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'stdev\\'\\)",
			        0.001,
			        21,
			        10
			    ],
			    [
			        218,
			        "218_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.14,
			        168,
			        4905,
			        601,
			        "str\\(\\'KL\\'\\)",
			        2,
			        "str\\(\\'stdev\\'\\)",
			        0.999,
			        65,
			        10
			    ],
			    [
			        219,
			        "219_0",
			        "FAILED",
			        "BoTorch",
			        "GenerationStep_1",
			        "",
			        "",
			        5000,
			        1,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'stdev\\'\\)",
			        0.16533724105420464,
			        1,
			        10
			    ],
			    [
			        220,
			        "220_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.14,
			        157,
			        2318,
			        1351,
			        "str\\(\\'H\\'\\)",
			        2,
			        "str\\(\\'stdev\\'\\)",
			        0.001,
			        53,
			        10
			    ],
			    [
			        221,
			        "221_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.14,
			        149,
			        4458,
			        582,
			        "str\\(\\'KL\\'\\)",
			        3,
			        "str\\(\\'stdev\\'\\)",
			        0.001,
			        21,
			        10
			    ],
			    [
			        222,
			        "222_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.13,
			        144,
			        3292,
			        5000,
			        "str\\(\\'KL\\'\\)",
			        3,
			        "str\\(\\'stdev\\'\\)",
			        0.001,
			        21,
			        10
			    ],
			    [
			        223,
			        "223_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.14,
			        135,
			        3246,
			        472,
			        "str\\(\\'KL\\'\\)",
			        3,
			        "str\\(\\'stdev\\'\\)",
			        0.999,
			        50,
			        10
			    ],
			    [
			        224,
			        "224_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.14,
			        145,
			        5000,
			        2487,
			        "str\\(\\'KL\\'\\)",
			        3,
			        "str\\(\\'stdev\\'\\)",
			        0.001,
			        68,
			        10
			    ],
			    [
			        225,
			        "225_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.13,
			        164,
			        4474,
			        2659,
			        "str\\(\\'KL\\'\\)",
			        3,
			        "str\\(\\'stdev\\'\\)",
			        0.999,
			        70,
			        10
			    ],
			    [
			        226,
			        "226_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.14,
			        166,
			        5000,
			        433,
			        "str\\(\\'KL\\'\\)",
			        3,
			        "str\\(\\'stdev\\'\\)",
			        0.001,
			        100,
			        10
			    ],
			    [
			        227,
			        "227_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.14,
			        151,
			        4320,
			        2018,
			        "str\\(\\'KL\\'\\)",
			        3,
			        "str\\(\\'stdev\\'\\)",
			        0.001,
			        23,
			        10
			    ],
			    [
			        228,
			        "228_0",
			        "FAILED",
			        "BoTorch",
			        "GenerationStep_1",
			        "",
			        "",
			        5000,
			        1,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'stdev\\'\\)",
			        0.999,
			        1,
			        10
			    ],
			    [
			        229,
			        "229_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.15,
			        1279,
			        5000,
			        1,
			        "str\\(\\'KL\\'\\)",
			        2,
			        "str\\(\\'tstat\\'\\)",
			        0.999,
			        31,
			        10
			    ],
			    [
			        230,
			        "230_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.14,
			        145,
			        4558,
			        777,
			        "str\\(\\'KL\\'\\)",
			        3,
			        "str\\(\\'stdev\\'\\)",
			        0.001,
			        12,
			        10
			    ],
			    [
			        231,
			        "231_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.13,
			        148,
			        4966,
			        4216,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'stdev\\'\\)",
			        0.999,
			        73,
			        10
			    ],
			    [
			        232,
			        "232_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.14,
			        142,
			        5000,
			        413,
			        "str\\(\\'H\\'\\)",
			        3,
			        "str\\(\\'stdev\\'\\)",
			        0.001,
			        43,
			        10
			    ],
			    [
			        233,
			        "233_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.15,
			        150,
			        4373,
			        3162,
			        "str\\(\\'KL\\'\\)",
			        2,
			        "str\\(\\'stdev\\'\\)",
			        0.6794365437751687,
			        26,
			        10
			    ],
			    [
			        234,
			        "234_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.15,
			        231,
			        3234,
			        3560,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'stdev\\'\\)",
			        0.002590324468043173,
			        1,
			        10
			    ],
			    [
			        235,
			        "235_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.13,
			        139,
			        4935,
			        1491,
			        "str\\(\\'KL\\'\\)",
			        2,
			        "str\\(\\'tstat\\'\\)",
			        0.001,
			        17,
			        10
			    ],
			    [
			        236,
			        "236_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.15,
			        228,
			        323,
			        3555,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'stdev\\'\\)",
			        0.999,
			        1,
			        10
			    ],
			    [
			        237,
			        "237_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.15,
			        207,
			        161,
			        1,
			        "str\\(\\'H\\'\\)",
			        3,
			        "str\\(\\'stdev\\'\\)",
			        0.999,
			        36,
			        10
			    ],
			    [
			        238,
			        "238_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.14,
			        139,
			        5000,
			        700,
			        "str\\(\\'H\\'\\)",
			        3,
			        "str\\(\\'stdev\\'\\)",
			        0.001,
			        26,
			        10
			    ],
			    [
			        239,
			        "239_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.13,
			        148,
			        4982,
			        4614,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'stdev\\'\\)",
			        0.001,
			        38,
			        10
			    ],
			    [
			        240,
			        "240_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.14,
			        170,
			        4047,
			        972,
			        "str\\(\\'KL\\'\\)",
			        2,
			        "str\\(\\'tstat\\'\\)",
			        0.8824109363046916,
			        1,
			        10
			    ],
			    [
			        241,
			        "241_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.13,
			        148,
			        4623,
			        1110,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'tstat\\'\\)",
			        0.001,
			        31,
			        10
			    ],
			    [
			        242,
			        "242_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.15,
			        1054,
			        5000,
			        1,
			        "str\\(\\'KL\\'\\)",
			        2,
			        "str\\(\\'stdev\\'\\)",
			        0.001,
			        29,
			        10
			    ],
			    [
			        243,
			        "243_0",
			        "FAILED",
			        "BoTorch",
			        "GenerationStep_1",
			        "",
			        "",
			        5000,
			        1,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'stdev\\'\\)",
			        0.001,
			        1,
			        10
			    ],
			    [
			        244,
			        "244_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.14,
			        157,
			        4417,
			        157,
			        "str\\(\\'H\\'\\)",
			        2,
			        "str\\(\\'stdev\\'\\)",
			        0.001,
			        32,
			        10
			    ],
			    [
			        245,
			        "245_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.14,
			        190,
			        4096,
			        2661,
			        "str\\(\\'KL\\'\\)",
			        2,
			        "str\\(\\'tstat\\'\\)",
			        0.001,
			        1,
			        10
			    ],
			    [
			        246,
			        "246_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.14,
			        173,
			        1,
			        982,
			        "str\\(\\'KL\\'\\)",
			        2,
			        "str\\(\\'tstat\\'\\)",
			        0.001,
			        1,
			        10
			    ],
			    [
			        247,
			        "247_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.14,
			        177,
			        3520,
			        1181,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'tstat\\'\\)",
			        0.999,
			        30,
			        10
			    ],
			    [
			        248,
			        "248_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.14,
			        180,
			        1125,
			        3477,
			        "str\\(\\'KL\\'\\)",
			        2,
			        "str\\(\\'tstat\\'\\)",
			        0.999,
			        1,
			        10
			    ],
			    [
			        249,
			        "249_0",
			        "FAILED",
			        "BoTorch",
			        "GenerationStep_1",
			        "",
			        "",
			        4106,
			        1,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'tstat\\'\\)",
			        0.001,
			        86,
			        10
			    ],
			    [
			        250,
			        "250_0",
			        "FAILED",
			        "BoTorch",
			        "GenerationStep_1",
			        "",
			        "",
			        968,
			        1,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'stdev\\'\\)",
			        0.999,
			        1,
			        10
			    ],
			    [
			        251,
			        "251_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.15,
			        230,
			        4989,
			        1589,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'stdev\\'\\)",
			        0.001,
			        1,
			        10
			    ],
			    [
			        252,
			        "252_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.14,
			        167,
			        1307,
			        993,
			        "str\\(\\'H\\'\\)",
			        2,
			        "str\\(\\'tstat\\'\\)",
			        0.999,
			        1,
			        10
			    ],
			    [
			        253,
			        "253_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.14,
			        174,
			        3652,
			        2265,
			        "str\\(\\'H\\'\\)",
			        2,
			        "str\\(\\'tstat\\'\\)",
			        0.999,
			        1,
			        10
			    ],
			    [
			        254,
			        "254_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.14,
			        202,
			        463,
			        4993,
			        "str\\(\\'KL\\'\\)",
			        2,
			        "str\\(\\'stdev\\'\\)",
			        0.001,
			        1,
			        10
			    ],
			    [
			        255,
			        "255_0",
			        "FAILED",
			        "BoTorch",
			        "GenerationStep_1",
			        "",
			        "",
			        1,
			        1,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'tstat\\'\\)",
			        0.001,
			        100,
			        10
			    ],
			    [
			        256,
			        "256_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.11,
			        114,
			        5000,
			        4315,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'tstat\\'\\)",
			        0.001,
			        32,
			        10
			    ],
			    [
			        257,
			        "257_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.14,
			        132,
			        4648,
			        1180,
			        "str\\(\\'H\\'\\)",
			        1,
			        "str\\(\\'tstat\\'\\)",
			        0.001,
			        29,
			        10
			    ],
			    [
			        258,
			        "258_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.15,
			        171,
			        2139,
			        3736,
			        "str\\(\\'KL\\'\\)",
			        2,
			        "str\\(\\'tstat\\'\\)",
			        0.001,
			        1,
			        10
			    ],
			    [
			        259,
			        "259_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.14,
			        179,
			        5000,
			        898,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'tstat\\'\\)",
			        0.999,
			        34,
			        10
			    ],
			    [
			        260,
			        "260_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.14,
			        173,
			        3875,
			        2239,
			        "str\\(\\'KL\\'\\)",
			        2,
			        "str\\(\\'stdev\\'\\)",
			        0.999,
			        1,
			        10
			    ],
			    [
			        261,
			        "261_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.13,
			        127,
			        54,
			        888,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'tstat\\'\\)",
			        0.001,
			        35,
			        10
			    ],
			    [
			        262,
			        "262_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.15,
			        1123,
			        4981,
			        1,
			        "str\\(\\'H\\'\\)",
			        2,
			        "str\\(\\'stdev\\'\\)",
			        0.999,
			        30,
			        10
			    ],
			    [
			        263,
			        "263_0",
			        "FAILED",
			        "BoTorch",
			        "GenerationStep_1",
			        "",
			        "",
			        5000,
			        1,
			        "str\\(\\'H\\'\\)",
			        2,
			        "str\\(\\'tstat\\'\\)",
			        0.001,
			        100,
			        10
			    ],
			    [
			        264,
			        "228_0",
			        "FAILED",
			        "BoTorch",
			        "GenerationStep_1",
			        "",
			        "",
			        5000,
			        1,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'stdev\\'\\)",
			        0.999,
			        1,
			        10
			    ],
			    [
			        265,
			        "265_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.14,
			        148,
			        4993,
			        821,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'tstat\\'\\)",
			        0.001,
			        32,
			        10
			    ],
			    [
			        266,
			        "266_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.15,
			        226,
			        2694,
			        3121,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'stdev\\'\\)",
			        0.001,
			        1,
			        10
			    ],
			    [
			        267,
			        "267_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.14,
			        169,
			        2060,
			        2872,
			        "str\\(\\'KL\\'\\)",
			        2,
			        "str\\(\\'tstat\\'\\)",
			        0.999,
			        1,
			        10
			    ],
			    [
			        268,
			        "268_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.13,
			        126,
			        4639,
			        3082,
			        "str\\(\\'KL\\'\\)",
			        3,
			        "str\\(\\'tstat\\'\\)",
			        0.001,
			        31,
			        10
			    ],
			    [
			        269,
			        "269_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.14,
			        170,
			        5000,
			        938,
			        "str\\(\\'KL\\'\\)",
			        2,
			        "str\\(\\'tstat\\'\\)",
			        0.001,
			        1,
			        10
			    ],
			    [
			        270,
			        "270_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.14,
			        162,
			        537,
			        112,
			        "str\\(\\'KL\\'\\)",
			        2,
			        "str\\(\\'stdev\\'\\)",
			        0.001,
			        32,
			        10
			    ],
			    [
			        271,
			        "271_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.15,
			        226,
			        5000,
			        2493,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'stdev\\'\\)",
			        0.001,
			        1,
			        10
			    ],
			    [
			        272,
			        "272_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.15,
			        226,
			        5000,
			        4799,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'stdev\\'\\)",
			        0.001,
			        1,
			        10
			    ],
			    [
			        273,
			        "273_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.15,
			        231,
			        5000,
			        4450,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'stdev\\'\\)",
			        0.001,
			        1,
			        10
			    ],
			    [
			        274,
			        "274_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.15,
			        231,
			        1,
			        254,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'stdev\\'\\)",
			        0.001,
			        1,
			        10
			    ],
			    [
			        275,
			        "275_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.14,
			        177,
			        141,
			        78,
			        "str\\(\\'H\\'\\)",
			        2,
			        "str\\(\\'stdev\\'\\)",
			        0.001,
			        33,
			        10
			    ],
			    [
			        276,
			        "276_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.15,
			        224,
			        1,
			        2043,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'stdev\\'\\)",
			        0.001,
			        1,
			        10
			    ],
			    [
			        277,
			        "277_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.15,
			        223,
			        5000,
			        3886,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'stdev\\'\\)",
			        0.999,
			        1,
			        10
			    ],
			    [
			        278,
			        "278_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.15,
			        237,
			        1,
			        2868,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'stdev\\'\\)",
			        0.001,
			        1,
			        10
			    ],
			    [
			        279,
			        "279_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.15,
			        232,
			        3888,
			        1359,
			        "str\\(\\'H\\'\\)",
			        1,
			        "str\\(\\'stdev\\'\\)",
			        0.999,
			        1,
			        10
			    ],
			    [
			        280,
			        "280_0",
			        "FAILED",
			        "BoTorch",
			        "GenerationStep_1",
			        "",
			        "",
			        1,
			        1,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'tstat\\'\\)",
			        0.999,
			        1,
			        10
			    ],
			    [
			        281,
			        "281_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.15,
			        227,
			        1,
			        1329,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'tstat\\'\\)",
			        0.999,
			        1,
			        10
			    ],
			    [
			        282,
			        "282_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.15,
			        228,
			        1,
			        3347,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'stdev\\'\\)",
			        0.001,
			        1,
			        10
			    ],
			    [
			        283,
			        "283_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.15,
			        226,
			        1342,
			        169,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'tstat\\'\\)",
			        0.001,
			        1,
			        10
			    ],
			    [
			        284,
			        "284_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.15,
			        224,
			        1,
			        4856,
			        "str\\(\\'H\\'\\)",
			        1,
			        "str\\(\\'stdev\\'\\)",
			        0.001,
			        1,
			        10
			    ],
			    [
			        285,
			        "285_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.15,
			        243,
			        1,
			        203,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'stdev\\'\\)",
			        0.999,
			        1,
			        10
			    ],
			    [
			        286,
			        "286_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.14,
			        176,
			        1,
			        94,
			        "str\\(\\'H\\'\\)",
			        2,
			        "str\\(\\'stdev\\'\\)",
			        0.001,
			        1,
			        10
			    ],
			    [
			        287,
			        "287_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.15,
			        227,
			        5000,
			        3244,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'tstat\\'\\)",
			        0.001,
			        1,
			        10
			    ],
			    [
			        288,
			        "288_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.15,
			        235,
			        5000,
			        2978,
			        "str\\(\\'H\\'\\)",
			        1,
			        "str\\(\\'stdev\\'\\)",
			        0.001,
			        1,
			        10
			    ],
			    [
			        289,
			        "289_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.15,
			        254,
			        5000,
			        2529,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'stdev\\'\\)",
			        0.999,
			        1,
			        10
			    ],
			    [
			        290,
			        "290_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.15,
			        239,
			        1,
			        3909,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'stdev\\'\\)",
			        0.001,
			        1,
			        10
			    ],
			    [
			        291,
			        "291_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.14,
			        170,
			        1098,
			        136,
			        "str\\(\\'H\\'\\)",
			        2,
			        "str\\(\\'stdev\\'\\)",
			        0.001,
			        36,
			        10
			    ],
			    [
			        292,
			        "292_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.15,
			        225,
			        5000,
			        4445,
			        "str\\(\\'H\\'\\)",
			        1,
			        "str\\(\\'tstat\\'\\)",
			        0.001,
			        1,
			        10
			    ],
			    [
			        293,
			        "293_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.15,
			        225,
			        1,
			        2337,
			        "str\\(\\'H\\'\\)",
			        1,
			        "str\\(\\'stdev\\'\\)",
			        0.001,
			        1,
			        10
			    ],
			    [
			        294,
			        "294_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.15,
			        228,
			        5000,
			        4792,
			        "str\\(\\'H\\'\\)",
			        1,
			        "str\\(\\'stdev\\'\\)",
			        0.999,
			        1,
			        10
			    ],
			    [
			        295,
			        "295_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.15,
			        226,
			        1,
			        125,
			        "str\\(\\'H\\'\\)",
			        1,
			        "str\\(\\'tstat\\'\\)",
			        0.001,
			        1,
			        10
			    ],
			    [
			        296,
			        "296_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.14,
			        1411,
			        13,
			        14,
			        "str\\(\\'H\\'\\)",
			        2,
			        "str\\(\\'tstat\\'\\)",
			        0.001,
			        83,
			        10
			    ],
			    [
			        297,
			        "297_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.15,
			        243,
			        5000,
			        150,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'tstat\\'\\)",
			        0.001,
			        1,
			        10
			    ],
			    [
			        298,
			        "298_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.15,
			        226,
			        5000,
			        3792,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'stdev\\'\\)",
			        0.001,
			        1,
			        10
			    ],
			    [
			        299,
			        "299_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.14,
			        188,
			        1,
			        93,
			        "str\\(\\'KL\\'\\)",
			        2,
			        "str\\(\\'stdev\\'\\)",
			        0.001,
			        36,
			        10
			    ],
			    [
			        300,
			        "300_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.14,
			        155,
			        3445,
			        425,
			        "str\\(\\'H\\'\\)",
			        2,
			        "str\\(\\'stdev\\'\\)",
			        0.001,
			        28,
			        10
			    ],
			    [
			        301,
			        "301_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.13,
			        140,
			        2318,
			        540,
			        "str\\(\\'KL\\'\\)",
			        2,
			        "str\\(\\'stdev\\'\\)",
			        0.968144991098341,
			        31,
			        10
			    ],
			    [
			        302,
			        "302_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.15,
			        228,
			        2469,
			        4606,
			        "str\\(\\'H\\'\\)",
			        1,
			        "str\\(\\'stdev\\'\\)",
			        0.02942478482082022,
			        1,
			        10
			    ],
			    [
			        303,
			        "303_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.15,
			        228,
			        1,
			        4508,
			        "str\\(\\'H\\'\\)",
			        1,
			        "str\\(\\'stdev\\'\\)",
			        0.999,
			        1,
			        10
			    ],
			    [
			        304,
			        "304_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.14,
			        155,
			        3794,
			        347,
			        "str\\(\\'H\\'\\)",
			        2,
			        "str\\(\\'stdev\\'\\)",
			        0.001,
			        25,
			        10
			    ],
			    [
			        305,
			        "305_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.15,
			        227,
			        422,
			        1012,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'stdev\\'\\)",
			        0.001,
			        1,
			        10
			    ],
			    [
			        306,
			        "306_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.14,
			        143,
			        3165,
			        395,
			        "str\\(\\'H\\'\\)",
			        2,
			        "str\\(\\'tstat\\'\\)",
			        0.001,
			        45,
			        10
			    ],
			    [
			        307,
			        "307_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.14,
			        157,
			        3660,
			        474,
			        "str\\(\\'H\\'\\)",
			        2,
			        "str\\(\\'stdev\\'\\)",
			        0.001,
			        33,
			        10
			    ],
			    [
			        308,
			        "308_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.15,
			        225,
			        1109,
			        3054,
			        "str\\(\\'H\\'\\)",
			        1,
			        "str\\(\\'stdev\\'\\)",
			        0.001,
			        1,
			        10
			    ],
			    [
			        309,
			        "309_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.15,
			        226,
			        1,
			        817,
			        "str\\(\\'H\\'\\)",
			        1,
			        "str\\(\\'stdev\\'\\)",
			        0.999,
			        1,
			        10
			    ],
			    [
			        310,
			        "310_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.14,
			        153,
			        2617,
			        357,
			        "str\\(\\'KL\\'\\)",
			        2,
			        "str\\(\\'stdev\\'\\)",
			        0.001,
			        25,
			        10
			    ],
			    [
			        311,
			        "311_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.15,
			        226,
			        5000,
			        596,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'stdev\\'\\)",
			        0.7020893276243805,
			        1,
			        10
			    ],
			    [
			        312,
			        "312_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.14,
			        148,
			        3215,
			        479,
			        "str\\(\\'H\\'\\)",
			        2,
			        "str\\(\\'stdev\\'\\)",
			        0.5543715104543683,
			        29,
			        10
			    ],
			    [
			        313,
			        "313_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.15,
			        219,
			        5000,
			        954,
			        "str\\(\\'H\\'\\)",
			        1,
			        "str\\(\\'stdev\\'\\)",
			        0.001,
			        1,
			        10
			    ],
			    [
			        314,
			        "314_0",
			        "FAILED",
			        "BoTorch",
			        "GenerationStep_1",
			        "",
			        "",
			        3079,
			        1,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'stdev\\'\\)",
			        0.999,
			        1,
			        10
			    ],
			    [
			        315,
			        "315_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.15,
			        224,
			        5000,
			        3240,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'stdev\\'\\)",
			        0.999,
			        1,
			        10
			    ],
			    [
			        316,
			        "316_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.15,
			        223,
			        3017,
			        5000,
			        "str\\(\\'H\\'\\)",
			        1,
			        "str\\(\\'tstat\\'\\)",
			        0.001,
			        1,
			        10
			    ],
			    [
			        317,
			        "317_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.13,
			        136,
			        3224,
			        435,
			        "str\\(\\'H\\'\\)",
			        2,
			        "str\\(\\'tstat\\'\\)",
			        0.001,
			        33,
			        10
			    ],
			    [
			        318,
			        "318_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.15,
			        223,
			        1,
			        2621,
			        "str\\(\\'H\\'\\)",
			        1,
			        "str\\(\\'tstat\\'\\)",
			        0.999,
			        1,
			        10
			    ],
			    [
			        319,
			        "319_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.15,
			        226,
			        3432,
			        2362,
			        "str\\(\\'H\\'\\)",
			        1,
			        "str\\(\\'tstat\\'\\)",
			        0.001,
			        1,
			        10
			    ],
			    [
			        320,
			        "320_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.14,
			        144,
			        3321,
			        613,
			        "str\\(\\'H\\'\\)",
			        2,
			        "str\\(\\'stdev\\'\\)",
			        0.833145671261082,
			        34,
			        10
			    ],
			    [
			        321,
			        "321_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.14,
			        165,
			        3485,
			        468,
			        "str\\(\\'H\\'\\)",
			        2,
			        "str\\(\\'stdev\\'\\)",
			        0.001,
			        46,
			        10
			    ],
			    [
			        322,
			        "322_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.14,
			        142,
			        3701,
			        482,
			        "str\\(\\'H\\'\\)",
			        2,
			        "str\\(\\'tstat\\'\\)",
			        0.001,
			        34,
			        10
			    ],
			    [
			        323,
			        "323_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.14,
			        155,
			        3416,
			        395,
			        "str\\(\\'H\\'\\)",
			        2,
			        "str\\(\\'stdev\\'\\)",
			        0.001,
			        25,
			        10
			    ],
			    [
			        324,
			        "324_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.14,
			        184,
			        4572,
			        618,
			        "str\\(\\'H\\'\\)",
			        2,
			        "str\\(\\'stdev\\'\\)",
			        0.001,
			        39,
			        10
			    ],
			    [
			        325,
			        "325_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.14,
			        217,
			        1,
			        1518,
			        "str\\(\\'H\\'\\)",
			        2,
			        "str\\(\\'stdev\\'\\)",
			        0.001,
			        93,
			        10
			    ],
			    [
			        326,
			        "326_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.15,
			        269,
			        5000,
			        3439,
			        "str\\(\\'H\\'\\)",
			        1,
			        "str\\(\\'tstat\\'\\)",
			        0.999,
			        1,
			        10
			    ],
			    [
			        327,
			        "327_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.15,
			        224,
			        647,
			        1285,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'tstat\\'\\)",
			        0.001,
			        1,
			        10
			    ],
			    [
			        328,
			        "328_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.15,
			        228,
			        1,
			        784,
			        "str\\(\\'H\\'\\)",
			        1,
			        "str\\(\\'tstat\\'\\)",
			        0.05780383021263819,
			        1,
			        10
			    ],
			    [
			        329,
			        "329_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.14,
			        147,
			        3484,
			        305,
			        "str\\(\\'H\\'\\)",
			        2,
			        "str\\(\\'stdev\\'\\)",
			        0.15928725991484166,
			        27,
			        10
			    ],
			    [
			        330,
			        "330_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.14,
			        141,
			        2791,
			        183,
			        "str\\(\\'KL\\'\\)",
			        3,
			        "str\\(\\'stdev\\'\\)",
			        0.999,
			        30,
			        10
			    ],
			    [
			        331,
			        "331_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.14,
			        178,
			        4629,
			        209,
			        "str\\(\\'KL\\'\\)",
			        2,
			        "str\\(\\'stdev\\'\\)",
			        0.001,
			        46,
			        10
			    ],
			    [
			        332,
			        "332_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.14,
			        145,
			        4600,
			        177,
			        "str\\(\\'H\\'\\)",
			        3,
			        "str\\(\\'tstat\\'\\)",
			        0.999,
			        46,
			        10
			    ],
			    [
			        333,
			        "333_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.14,
			        142,
			        4918,
			        981,
			        "str\\(\\'KL\\'\\)",
			        3,
			        "str\\(\\'stdev\\'\\)",
			        0.999,
			        32,
			        10
			    ],
			    [
			        334,
			        "334_0",
			        "FAILED",
			        "BoTorch",
			        "GenerationStep_1",
			        "",
			        "",
			        4873,
			        1,
			        "str\\(\\'H\\'\\)",
			        1,
			        "str\\(\\'stdev\\'\\)",
			        0.001,
			        88,
			        10
			    ],
			    [
			        335,
			        "335_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.15,
			        234,
			        5000,
			        1988,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'tstat\\'\\)",
			        0.1703372974543749,
			        1,
			        10
			    ],
			    [
			        336,
			        "336_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.13,
			        135,
			        990,
			        814,
			        "str\\(\\'KL\\'\\)",
			        2,
			        "str\\(\\'stdev\\'\\)",
			        0.999,
			        30,
			        10
			    ],
			    [
			        337,
			        "337_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.14,
			        151,
			        375,
			        215,
			        "str\\(\\'KL\\'\\)",
			        3,
			        "str\\(\\'stdev\\'\\)",
			        0.999,
			        3,
			        10
			    ],
			    [
			        338,
			        "338_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.14,
			        535,
			        4967,
			        151,
			        "str\\(\\'H\\'\\)",
			        1,
			        "str\\(\\'tstat\\'\\)",
			        0.001,
			        88,
			        10
			    ],
			    [
			        339,
			        "339_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.15,
			        234,
			        4167,
			        1770,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'stdev\\'\\)",
			        0.5697436977683379,
			        1,
			        10
			    ],
			    [
			        340,
			        "340_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.15,
			        179,
			        5000,
			        1823,
			        "str\\(\\'KL\\'\\)",
			        2,
			        "str\\(\\'stdev\\'\\)",
			        0.999,
			        1,
			        10
			    ],
			    [
			        341,
			        "341_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.14,
			        146,
			        2891,
			        2854,
			        "str\\(\\'KL\\'\\)",
			        3,
			        "str\\(\\'stdev\\'\\)",
			        0.999,
			        32,
			        10
			    ],
			    [
			        342,
			        "342_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.14,
			        148,
			        4868,
			        222,
			        "str\\(\\'KL\\'\\)",
			        3,
			        "str\\(\\'stdev\\'\\)",
			        0.001,
			        21,
			        10
			    ],
			    [
			        343,
			        "343_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.13,
			        159,
			        2288,
			        2710,
			        "str\\(\\'KL\\'\\)",
			        3,
			        "str\\(\\'stdev\\'\\)",
			        0.999,
			        30,
			        10
			    ],
			    [
			        344,
			        "344_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.14,
			        145,
			        4247,
			        1002,
			        "str\\(\\'KL\\'\\)",
			        3,
			        "str\\(\\'stdev\\'\\)",
			        0.001,
			        65,
			        10
			    ],
			    [
			        345,
			        "345_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.13,
			        148,
			        3800,
			        2564,
			        "str\\(\\'KL\\'\\)",
			        3,
			        "str\\(\\'stdev\\'\\)",
			        0.999,
			        30,
			        10
			    ],
			    [
			        346,
			        "346_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.14,
			        149,
			        5000,
			        164,
			        "str\\(\\'KL\\'\\)",
			        3,
			        "str\\(\\'stdev\\'\\)",
			        0.001,
			        59,
			        10
			    ],
			    [
			        347,
			        "347_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.13,
			        137,
			        456,
			        1047,
			        "str\\(\\'H\\'\\)",
			        3,
			        "str\\(\\'stdev\\'\\)",
			        0.999,
			        45,
			        10
			    ],
			    [
			        348,
			        "348_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.14,
			        177,
			        1,
			        3108,
			        "str\\(\\'KL\\'\\)",
			        2,
			        "str\\(\\'stdev\\'\\)",
			        0.001,
			        1,
			        10
			    ],
			    [
			        349,
			        "349_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.13,
			        151,
			        5000,
			        2211,
			        "str\\(\\'H\\'\\)",
			        2,
			        "str\\(\\'stdev\\'\\)",
			        0.001,
			        50,
			        10
			    ],
			    [
			        350,
			        "350_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.13,
			        147,
			        3997,
			        2208,
			        "str\\(\\'KL\\'\\)",
			        2,
			        "str\\(\\'tstat\\'\\)",
			        0.001,
			        73,
			        10
			    ],
			    [
			        351,
			        "351_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.13,
			        121,
			        1021,
			        2592,
			        "str\\(\\'KL\\'\\)",
			        3,
			        "str\\(\\'stdev\\'\\)",
			        0.999,
			        38,
			        10
			    ],
			    [
			        352,
			        "352_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.15,
			        172,
			        5000,
			        1694,
			        "str\\(\\'KL\\'\\)",
			        2,
			        "str\\(\\'tstat\\'\\)",
			        0.999,
			        1,
			        10
			    ],
			    [
			        353,
			        "353_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.14,
			        142,
			        1030,
			        2916,
			        "str\\(\\'H\\'\\)",
			        3,
			        "str\\(\\'stdev\\'\\)",
			        0.001,
			        63,
			        10
			    ],
			    [
			        354,
			        "354_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.14,
			        168,
			        1485,
			        4630,
			        "str\\(\\'KL\\'\\)",
			        2,
			        "str\\(\\'tstat\\'\\)",
			        0.001,
			        1,
			        10
			    ],
			    [
			        355,
			        "355_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.14,
			        140,
			        153,
			        981,
			        "str\\(\\'KL\\'\\)",
			        3,
			        "str\\(\\'stdev\\'\\)",
			        0.001,
			        23,
			        10
			    ],
			    [
			        356,
			        "356_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.14,
			        152,
			        4919,
			        223,
			        "str\\(\\'KL\\'\\)",
			        2,
			        "str\\(\\'stdev\\'\\)",
			        0.999,
			        45,
			        10
			    ],
			    [
			        357,
			        "357_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.14,
			        148,
			        1424,
			        2808,
			        "str\\(\\'KL\\'\\)",
			        3,
			        "str\\(\\'tstat\\'\\)",
			        0.999,
			        40,
			        10
			    ],
			    [
			        358,
			        "358_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.14,
			        144,
			        2274,
			        1003,
			        "str\\(\\'H\\'\\)",
			        3,
			        "str\\(\\'tstat\\'\\)",
			        0.999,
			        32,
			        10
			    ],
			    [
			        359,
			        "359_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.13,
			        137,
			        169,
			        2516,
			        "str\\(\\'KL\\'\\)",
			        3,
			        "str\\(\\'stdev\\'\\)",
			        0.001,
			        23,
			        10
			    ],
			    [
			        360,
			        "360_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.14,
			        151,
			        2016,
			        160,
			        "str\\(\\'KL\\'\\)",
			        2,
			        "str\\(\\'stdev\\'\\)",
			        0.001,
			        23,
			        10
			    ],
			    [
			        361,
			        "361_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.14,
			        229,
			        3928,
			        163,
			        "str\\(\\'KL\\'\\)",
			        2,
			        "str\\(\\'stdev\\'\\)",
			        0.001,
			        24,
			        10
			    ],
			    [
			        362,
			        "362_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.15,
			        253,
			        5000,
			        737,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'stdev\\'\\)",
			        0.001,
			        1,
			        10
			    ],
			    [
			        363,
			        "363_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.15,
			        177,
			        3250,
			        1304,
			        "str\\(\\'KL\\'\\)",
			        2,
			        "str\\(\\'tstat\\'\\)",
			        0.999,
			        1,
			        10
			    ],
			    [
			        364,
			        "364_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.14,
			        164,
			        1,
			        156,
			        "str\\(\\'KL\\'\\)",
			        2,
			        "str\\(\\'stdev\\'\\)",
			        0.999,
			        1,
			        10
			    ],
			    [
			        365,
			        "365_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.15,
			        217,
			        1515,
			        4718,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'tstat\\'\\)",
			        0.9938837534474394,
			        1,
			        10
			    ],
			    [
			        366,
			        "366_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.15,
			        226,
			        4631,
			        4312,
			        "str\\(\\'H\\'\\)",
			        1,
			        "str\\(\\'tstat\\'\\)",
			        0.6904518595699247,
			        1,
			        10
			    ],
			    [
			        367,
			        "367_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.15,
			        225,
			        1,
			        4318,
			        "str\\(\\'H\\'\\)",
			        1,
			        "str\\(\\'tstat\\'\\)",
			        0.001,
			        1,
			        10
			    ],
			    [
			        368,
			        "368_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.15,
			        223,
			        5000,
			        885,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'tstat\\'\\)",
			        0.001,
			        1,
			        10
			    ],
			    [
			        369,
			        "369_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.14,
			        192,
			        1,
			        155,
			        "str\\(\\'KL\\'\\)",
			        2,
			        "str\\(\\'stdev\\'\\)",
			        0.001,
			        1,
			        10
			    ],
			    [
			        370,
			        "370_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.15,
			        226,
			        3389,
			        73,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'stdev\\'\\)",
			        0.999,
			        1,
			        10
			    ],
			    [
			        371,
			        "371_0",
			        "FAILED",
			        "BoTorch",
			        "GenerationStep_1",
			        "",
			        "",
			        2884,
			        1,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'stdev\\'\\)",
			        0.7657992647936581,
			        1,
			        10
			    ],
			    [
			        372,
			        "372_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.15,
			        221,
			        5000,
			        1708,
			        "str\\(\\'H\\'\\)",
			        1,
			        "str\\(\\'tstat\\'\\)",
			        0.9449302819074564,
			        1,
			        10
			    ],
			    [
			        373,
			        "373_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.15,
			        223,
			        1,
			        4884,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'tstat\\'\\)",
			        0.999,
			        1,
			        10
			    ],
			    [
			        374,
			        "374_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.15,
			        222,
			        5000,
			        1434,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'tstat\\'\\)",
			        0.999,
			        1,
			        10
			    ],
			    [
			        375,
			        "375_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.13,
			        144,
			        1913,
			        1413,
			        "str\\(\\'KL\\'\\)",
			        3,
			        "str\\(\\'tstat\\'\\)",
			        0.999,
			        45,
			        10
			    ],
			    [
			        376,
			        "376_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.15,
			        222,
			        1,
			        4091,
			        "str\\(\\'H\\'\\)",
			        1,
			        "str\\(\\'stdev\\'\\)",
			        0.001,
			        1,
			        10
			    ],
			    [
			        377,
			        "377_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.14,
			        168,
			        4299,
			        732,
			        "str\\(\\'KL\\'\\)",
			        2,
			        "str\\(\\'tstat\\'\\)",
			        0.999,
			        1,
			        10
			    ],
			    [
			        378,
			        "378_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.15,
			        220,
			        5000,
			        381,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'stdev\\'\\)",
			        0.999,
			        1,
			        10
			    ],
			    [
			        379,
			        "379_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.15,
			        242,
			        2748,
			        2222,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'tstat\\'\\)",
			        0.999,
			        1,
			        10
			    ],
			    [
			        380,
			        "380_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.15,
			        170,
			        5000,
			        1244,
			        "str\\(\\'H\\'\\)",
			        2,
			        "str\\(\\'tstat\\'\\)",
			        0.999,
			        1,
			        10
			    ],
			    [
			        381,
			        "381_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.15,
			        222,
			        1,
			        4328,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'tstat\\'\\)",
			        0.001,
			        1,
			        10
			    ],
			    [
			        382,
			        "382_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.15,
			        225,
			        1,
			        3853,
			        "str\\(\\'H\\'\\)",
			        1,
			        "str\\(\\'tstat\\'\\)",
			        0.999,
			        1,
			        10
			    ],
			    [
			        383,
			        "383_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.14,
			        167,
			        1,
			        1361,
			        "str\\(\\'H\\'\\)",
			        2,
			        "str\\(\\'tstat\\'\\)",
			        0.999,
			        1,
			        10
			    ],
			    [
			        384,
			        "384_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.14,
			        169,
			        5000,
			        1613,
			        "str\\(\\'KL\\'\\)",
			        2,
			        "str\\(\\'stdev\\'\\)",
			        0.999,
			        1,
			        10
			    ],
			    [
			        385,
			        "385_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.15,
			        234,
			        5000,
			        4286,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'tstat\\'\\)",
			        0.001,
			        1,
			        10
			    ],
			    [
			        386,
			        "386_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.15,
			        230,
			        1,
			        70,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'stdev\\'\\)",
			        0.001,
			        1,
			        10
			    ],
			    [
			        387,
			        "387_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.15,
			        225,
			        1,
			        1723,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'tstat\\'\\)",
			        0.13327587489580317,
			        1,
			        10
			    ],
			    [
			        388,
			        "388_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.14,
			        169,
			        4149,
			        1074,
			        "str\\(\\'KL\\'\\)",
			        2,
			        "str\\(\\'stdev\\'\\)",
			        0.999,
			        1,
			        10
			    ],
			    [
			        389,
			        "389_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.14,
			        168,
			        5000,
			        1214,
			        "str\\(\\'H\\'\\)",
			        2,
			        "str\\(\\'tstat\\'\\)",
			        0.001,
			        1,
			        10
			    ],
			    [
			        390,
			        "390_0",
			        "RUNNING",
			        "BoTorch",
			        "GenerationStep_1",
			        "",
			        "",
			        3698,
			        1,
			        "str\\(\\'KL\\'\\)",
			        2,
			        "str\\(\\'stdev\\'\\)",
			        0.001,
			        73,
			        10
			    ],
			    [
			        391,
			        "391_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.14,
			        140,
			        4179,
			        485,
			        "str\\(\\'KL\\'\\)",
			        2,
			        "str\\(\\'stdev\\'\\)",
			        0.999,
			        36,
			        10
			    ],
			    [
			        392,
			        "392_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.15,
			        250,
			        3831,
			        1,
			        "str\\(\\'H\\'\\)",
			        3,
			        "str\\(\\'tstat\\'\\)",
			        0.999,
			        1,
			        10
			    ],
			    [
			        393,
			        "393_0",
			        "RUNNING",
			        "BoTorch",
			        "GenerationStep_1",
			        "",
			        "",
			        1,
			        1,
			        "str\\(\\'KL\\'\\)",
			        2,
			        "str\\(\\'stdev\\'\\)",
			        0.001,
			        98,
			        10
			    ],
			    [
			        394,
			        "394_0",
			        "FAILED",
			        "BoTorch",
			        "GenerationStep_1",
			        "",
			        "",
			        1,
			        1,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'stdev\\'\\)",
			        0.001,
			        26,
			        10
			    ],
			    [
			        395,
			        "395_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.15,
			        216,
			        3208,
			        1,
			        "str\\(\\'H\\'\\)",
			        3,
			        "str\\(\\'stdev\\'\\)",
			        0.999,
			        100,
			        10
			    ],
			    [
			        396,
			        "396_0",
			        "RUNNING",
			        "BoTorch",
			        "GenerationStep_1",
			        "",
			        "",
			        3647,
			        1,
			        "str\\(\\'KL\\'\\)",
			        2,
			        "str\\(\\'tstat\\'\\)",
			        0.999,
			        76,
			        10
			    ],
			    [
			        397,
			        "397_0",
			        "FAILED",
			        "BoTorch",
			        "GenerationStep_1",
			        "",
			        "",
			        3706,
			        1,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'stdev\\'\\)",
			        0.001,
			        6,
			        10
			    ],
			    [
			        398,
			        "398_0",
			        "FAILED",
			        "BoTorch",
			        "GenerationStep_1",
			        "",
			        "",
			        1459,
			        1,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'stdev\\'\\)",
			        0.001,
			        24,
			        10
			    ],
			    [
			        399,
			        "399_0",
			        "RUNNING",
			        "BoTorch",
			        "GenerationStep_1",
			        "",
			        "",
			        511,
			        1,
			        "str\\(\\'H\\'\\)",
			        2,
			        "str\\(\\'tstat\\'\\)",
			        0.999,
			        97,
			        10
			    ],
			    [
			        400,
			        "400_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.15,
			        2248,
			        4174,
			        1,
			        "str\\(\\'H\\'\\)",
			        2,
			        "str\\(\\'stdev\\'\\)",
			        0.999,
			        38,
			        10
			    ],
			    [
			        401,
			        "401_0",
			        "RUNNING",
			        "BoTorch",
			        "GenerationStep_1",
			        "",
			        "",
			        4045,
			        1,
			        "str\\(\\'H\\'\\)",
			        2,
			        "str\\(\\'stdev\\'\\)",
			        0.001,
			        93,
			        10
			    ],
			    [
			        402,
			        "402_0",
			        "FAILED",
			        "BoTorch",
			        "GenerationStep_1",
			        "",
			        "",
			        4373,
			        1,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'stdev\\'\\)",
			        0.001,
			        24,
			        10
			    ],
			    [
			        403,
			        "403_0",
			        "FAILED",
			        "BoTorch",
			        "GenerationStep_1",
			        "",
			        "",
			        2719,
			        1,
			        "str\\(\\'H\\'\\)",
			        1,
			        "str\\(\\'stdev\\'\\)",
			        0.999,
			        79,
			        10
			    ],
			    [
			        404,
			        "404_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.14,
			        388,
			        3698,
			        135,
			        "str\\(\\'H\\'\\)",
			        2,
			        "str\\(\\'stdev\\'\\)",
			        0.999,
			        78,
			        10
			    ],
			    [
			        405,
			        "405_0",
			        "RUNNING",
			        "BoTorch",
			        "GenerationStep_1",
			        "",
			        "",
			        2493,
			        1,
			        "str\\(\\'H\\'\\)",
			        2,
			        "str\\(\\'stdev\\'\\)",
			        0.999,
			        63,
			        10
			    ],
			    [
			        406,
			        "406_0",
			        "RUNNING",
			        "BoTorch",
			        "GenerationStep_1",
			        "",
			        "",
			        2526,
			        1,
			        "str\\(\\'H\\'\\)",
			        2,
			        "str\\(\\'tstat\\'\\)",
			        0.001,
			        94,
			        10
			    ],
			    [
			        407,
			        "407_0",
			        "RUNNING",
			        "BoTorch",
			        "GenerationStep_1",
			        "",
			        "",
			        1090,
			        1,
			        "str\\(\\'KL\\'\\)",
			        2,
			        "str\\(\\'tstat\\'\\)",
			        0.999,
			        97,
			        10
			    ],
			    [
			        408,
			        "408_0",
			        "FAILED",
			        "BoTorch",
			        "GenerationStep_1",
			        "",
			        "",
			        1945,
			        1,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'stdev\\'\\)",
			        0.999,
			        27,
			        10
			    ],
			    [
			        409,
			        "409_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.15,
			        202,
			        2407,
			        2090,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'stdev\\'\\)",
			        0.999,
			        4,
			        10
			    ],
			    [
			        410,
			        "410_0",
			        "RUNNING",
			        "BoTorch",
			        "GenerationStep_1",
			        "",
			        "",
			        1776,
			        1,
			        "str\\(\\'H\\'\\)",
			        2,
			        "str\\(\\'stdev\\'\\)",
			        0.001,
			        100,
			        10
			    ],
			    [
			        411,
			        "411_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.15,
			        214,
			        3776,
			        1,
			        "str\\(\\'H\\'\\)",
			        3,
			        "str\\(\\'stdev\\'\\)",
			        0.999,
			        5,
			        10
			    ],
			    [
			        412,
			        "412_0",
			        "FAILED",
			        "BoTorch",
			        "GenerationStep_1",
			        "",
			        "",
			        599,
			        1,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'stdev\\'\\)",
			        0.001,
			        25,
			        10
			    ],
			    [
			        413,
			        "413_0",
			        "FAILED",
			        "BoTorch",
			        "GenerationStep_1",
			        "",
			        "",
			        2790,
			        1,
			        "str\\(\\'H\\'\\)",
			        1,
			        "str\\(\\'stdev\\'\\)",
			        0.999,
			        89,
			        10
			    ],
			    [
			        414,
			        "414_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.14,
			        160,
			        1004,
			        37,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'tstat\\'\\)",
			        0.001,
			        6,
			        10
			    ],
			    [
			        415,
			        "415_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.15,
			        213,
			        4566,
			        2825,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'stdev\\'\\)",
			        0.001,
			        3,
			        10
			    ],
			    [
			        416,
			        "416_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.15,
			        237,
			        1097,
			        1,
			        "str\\(\\'H\\'\\)",
			        3,
			        "str\\(\\'stdev\\'\\)",
			        0.999,
			        28,
			        10
			    ],
			    [
			        417,
			        "417_0",
			        "RUNNING",
			        "BoTorch",
			        "GenerationStep_1",
			        "",
			        "",
			        4287,
			        1,
			        "str\\(\\'H\\'\\)",
			        2,
			        "str\\(\\'tstat\\'\\)",
			        0.001,
			        91,
			        10
			    ],
			    [
			        418,
			        "418_0",
			        "COMPLETED",
			        "BoTorch",
			        "GenerationStep_1",
			        0.15,
			        206,
			        3950,
			        1,
			        "str\\(\\'H\\'\\)",
			        3,
			        "str\\(\\'stdev\\'\\)",
			        0.001,
			        51,
			        10
			    ],
			    [
			        419,
			        "419_0",
			        "FAILED",
			        "BoTorch",
			        "GenerationStep_1",
			        "",
			        "",
			        3711,
			        1,
			        "str\\(\\'KL\\'\\)",
			        2,
			        "str\\(\\'tstat\\'\\)",
			        0.001,
			        89,
			        10
			    ],
			    [
			        420,
			        "420_0",
			        "COMPLETED",
			        "Sobol",
			        "SOBOL",
			        0.14,
			        201,
			        4315,
			        3427,
			        "str\\(\\'KL\\'\\)",
			        2,
			        "str\\(\\'stdev\\'\\)",
			        0.8993488682508468,
			        80,
			        10
			    ],
			    [
			        421,
			        "421_0",
			        "COMPLETED",
			        "Sobol",
			        "SOBOL",
			        0.13,
			        183,
			        977,
			        1758,
			        "str\\(\\'H\\'\\)",
			        3,
			        "str\\(\\'tstat\\'\\)",
			        0.3386088585443795,
			        5,
			        10
			    ],
			    [
			        422,
			        "422_0",
			        "COMPLETED",
			        "Sobol",
			        "SOBOL",
			        0.13,
			        209,
			        1612,
			        4763,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'tstat\\'\\)",
			        0.21763544012978672,
			        54,
			        10
			    ],
			    [
			        423,
			        "423_0",
			        "COMPLETED",
			        "Sobol",
			        "SOBOL",
			        0.14,
			        234,
			        3739,
			        103,
			        "str\\(\\'H\\'\\)",
			        2,
			        "str\\(\\'stdev\\'\\)",
			        0.5291190900970251,
			        31,
			        10
			    ],
			    [
			        424,
			        "424_0",
			        "COMPLETED",
			        "Sobol",
			        "SOBOL",
			        0.13,
			        205,
			        2915,
			        3880,
			        "str\\(\\'H\\'\\)",
			        2,
			        "str\\(\\'stdev\\'\\)",
			        0.7815221392158419,
			        70,
			        10
			    ],
			    [
			        425,
			        "425_0",
			        "COMPLETED",
			        "Sobol",
			        "SOBOL",
			        0.14,
			        249,
			        2347,
			        939,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'tstat\\'\\)",
			        0.47221206475421784,
			        46,
			        10
			    ],
			    [
			        426,
			        "426_0",
			        "COMPLETED",
			        "Sobol",
			        "SOBOL",
			        0.14,
			        182,
			        541,
			        3011,
			        "str\\(\\'H\\'\\)",
			        3,
			        "str\\(\\'tstat\\'\\)",
			        0.10173864633962512,
			        97,
			        10
			    ],
			    [
			        427,
			        "427_0",
			        "COMPLETED",
			        "Sobol",
			        "SOBOL",
			        0.13,
			        198,
			        4819,
			        2124,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'stdev\\'\\)",
			        0.6607923731449992,
			        19,
			        10
			    ],
			    [
			        428,
			        "428_0",
			        "COMPLETED",
			        "Sobol",
			        "SOBOL",
			        0.13,
			        188,
			        4624,
			        4626,
			        "str\\(\\'H\\'\\)",
			        1,
			        "str\\(\\'tstat\\'\\)",
			        0.6007878342885524,
			        65,
			        10
			    ],
			    [
			        429,
			        "429_0",
			        "COMPLETED",
			        "Sobol",
			        "SOBOL",
			        0.14,
			        209,
			        32,
			        514,
			        "str\\(\\'KL\\'\\)",
			        2,
			        "str\\(\\'stdev\\'\\)",
			        0.1616204667426646,
			        40,
			        10
			    ],
			    [
			        430,
			        "430_0",
			        "COMPLETED",
			        "Sobol",
			        "SOBOL",
			        0.14,
			        190,
			        1917,
			        3446,
			        "str\\(\\'H\\'\\)",
			        2,
			        "str\\(\\'stdev\\'\\)",
			        0.28259382567182184,
			        91,
			        10
			    ],
			    [
			        431,
			        "431_0",
			        "COMPLETED",
			        "Sobol",
			        "SOBOL",
			        0.14,
			        181,
			        2797,
			        1387,
			        "str\\(\\'KL\\'\\)",
			        3,
			        "str\\(\\'tstat\\'\\)",
			        0.9710175408739596,
			        14,
			        10
			    ],
			    [
			        432,
			        "432_0",
			        "COMPLETED",
			        "Sobol",
			        "SOBOL",
			        0.13,
			        146,
			        3232,
			        2601,
			        "str\\(\\'KL\\'\\)",
			        3,
			        "str\\(\\'tstat\\'\\)",
			        0.7167985873017461,
			        87,
			        10
			    ],
			    [
			        433,
			        "433_0",
			        "COMPLETED",
			        "Sobol",
			        "SOBOL",
			        0.13,
			        230,
			        1416,
			        2261,
			        "str\\(\\'H\\'\\)",
			        2,
			        "str\\(\\'stdev\\'\\)",
			        0.03007687681540847,
			        11,
			        10
			    ],
			    [
			        434,
			        "434_0",
			        "COMPLETED",
			        "Sobol",
			        "SOBOL",
			        0.13,
			        181,
			        860,
			        4250,
			        "str\\(\\'KL\\'\\)",
			        3,
			        "str\\(\\'stdev\\'\\)",
			        0.4005502357445657,
			        60,
			        10
			    ],
			    [
			        435,
			        "435_0",
			        "COMPLETED",
			        "Sobol",
			        "SOBOL",
			        0.14,
			        251,
			        3885,
			        919,
			        "str\\(\\'H\\'\\)",
			        1,
			        "str\\(\\'tstat\\'\\)",
			        0.8375282938871532,
			        38,
			        10
			    ],
			    [
			        436,
			        "436_0",
			        "COMPLETED",
			        "Sobol",
			        "SOBOL",
			        0.13,
			        210,
			        4034,
			        4173,
			        "str\\(\\'KL\\'\\)",
			        3,
			        "str\\(\\'stdev\\'\\)",
			        0.048384241776540875,
			        2,
			        10
			    ],
			    [
			        437,
			        "437_0",
			        "COMPLETED",
			        "Sobol",
			        "SOBOL",
			        0.16,
			        370,
			        696,
			        685,
			        "str\\(\\'H\\'\\)",
			        1,
			        "str\\(\\'tstat\\'\\)",
			        0.737049681622535,
			        77,
			        10
			    ],
			    [
			        438,
			        "438_0",
			        "COMPLETED",
			        "Sobol",
			        "SOBOL",
			        0.13,
			        212,
			        1252,
			        2679,
			        "str\\(\\'KL\\'\\)",
			        2,
			        "str\\(\\'tstat\\'\\)",
			        0.8655762632079422,
			        28,
			        10
			    ],
			    [
			        439,
			        "439_0",
			        "COMPLETED",
			        "Sobol",
			        "SOBOL",
			        0.14,
			        169,
			        3381,
			        2495,
			        "str\\(\\'H\\'\\)",
			        1,
			        "str\\(\\'stdev\\'\\)",
			        0.42665447570569814,
			        51,
			        10
			    ],
			    [
			        440,
			        "440_0",
			        "COMPLETED",
			        "BoTorch",
			        "BOTORCH_MODULAR",
			        0.14,
			        385,
			        2910,
			        563,
			        "str\\(\\'H\\'\\)",
			        1,
			        "str\\(\\'tstat\\'\\)",
			        0.43522176374064325,
			        77,
			        10
			    ],
			    [
			        441,
			        "441_0",
			        "COMPLETED",
			        "BoTorch",
			        "BOTORCH_MODULAR",
			        0.14,
			        237,
			        4406,
			        452,
			        "str\\(\\'KL\\'\\)",
			        2,
			        "str\\(\\'stdev\\'\\)",
			        0.001,
			        16,
			        10
			    ],
			    [
			        442,
			        "442_0",
			        "COMPLETED",
			        "BoTorch",
			        "BOTORCH_MODULAR",
			        0.14,
			        171,
			        4458,
			        968,
			        "str\\(\\'KL\\'\\)",
			        2,
			        "str\\(\\'stdev\\'\\)",
			        0.001,
			        10,
			        10
			    ],
			    [
			        443,
			        "443_0",
			        "COMPLETED",
			        "BoTorch",
			        "BOTORCH_MODULAR",
			        0.14,
			        247,
			        4508,
			        3891,
			        "str\\(\\'KL\\'\\)",
			        2,
			        "str\\(\\'stdev\\'\\)",
			        0.001,
			        3,
			        10
			    ],
			    [
			        444,
			        "444_0",
			        "COMPLETED",
			        "BoTorch",
			        "BOTORCH_MODULAR",
			        0.13,
			        184,
			        4674,
			        2752,
			        "str\\(\\'KL\\'\\)",
			        2,
			        "str\\(\\'stdev\\'\\)",
			        0.999,
			        25,
			        10
			    ],
			    [
			        445,
			        "445_0",
			        "COMPLETED",
			        "BoTorch",
			        "BOTORCH_MODULAR",
			        0.14,
			        171,
			        1842,
			        1428,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'tstat\\'\\)",
			        0.999,
			        24,
			        10
			    ],
			    [
			        446,
			        "446_0",
			        "COMPLETED",
			        "BoTorch",
			        "BOTORCH_MODULAR",
			        0.15,
			        327,
			        2050,
			        2972,
			        "str\\(\\'H\\'\\)",
			        1,
			        "str\\(\\'stdev\\'\\)",
			        0.7821804922521923,
			        1,
			        10
			    ],
			    [
			        447,
			        "447_0",
			        "COMPLETED",
			        "BoTorch",
			        "BOTORCH_MODULAR",
			        0.15,
			        353,
			        555,
			        2816,
			        "str\\(\\'H\\'\\)",
			        1,
			        "str\\(\\'stdev\\'\\)",
			        0.999,
			        1,
			        10
			    ],
			    [
			        448,
			        "448_0",
			        "COMPLETED",
			        "BoTorch",
			        "BOTORCH_MODULAR",
			        0.15,
			        332,
			        4455,
			        3270,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'tstat\\'\\)",
			        0.4951628820460788,
			        1,
			        10
			    ],
			    [
			        449,
			        "449_0",
			        "COMPLETED",
			        "BoTorch",
			        "BOTORCH_MODULAR",
			        0.15,
			        284,
			        3143,
			        330,
			        "str\\(\\'H\\'\\)",
			        1,
			        "str\\(\\'stdev\\'\\)",
			        0.45254219201783086,
			        1,
			        10
			    ],
			    [
			        450,
			        "450_0",
			        "COMPLETED",
			        "BoTorch",
			        "BOTORCH_MODULAR",
			        0.15,
			        318,
			        922,
			        2719,
			        "str\\(\\'H\\'\\)",
			        1,
			        "str\\(\\'tstat\\'\\)",
			        0.42575573154881274,
			        1,
			        10
			    ],
			    [
			        451,
			        "451_0",
			        "COMPLETED",
			        "BoTorch",
			        "BOTORCH_MODULAR",
			        0.15,
			        337,
			        2413,
			        3290,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'tstat\\'\\)",
			        0.001,
			        1,
			        10
			    ],
			    [
			        452,
			        "452_0",
			        "COMPLETED",
			        "BoTorch",
			        "BOTORCH_MODULAR",
			        0.15,
			        317,
			        727,
			        3112,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'tstat\\'\\)",
			        0.9052331495348503,
			        1,
			        10
			    ],
			    [
			        453,
			        "453_0",
			        "COMPLETED",
			        "BoTorch",
			        "BOTORCH_MODULAR",
			        0.15,
			        814,
			        122,
			        147,
			        "str\\(\\'H\\'\\)",
			        1,
			        "str\\(\\'tstat\\'\\)",
			        0.999,
			        77,
			        10
			    ],
			    [
			        454,
			        "454_0",
			        "COMPLETED",
			        "BoTorch",
			        "BOTORCH_MODULAR",
			        0.15,
			        340,
			        933,
			        3568,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'stdev\\'\\)",
			        0.5990098977293434,
			        1,
			        10
			    ],
			    [
			        455,
			        "455_0",
			        "COMPLETED",
			        "BoTorch",
			        "BOTORCH_MODULAR",
			        0.15,
			        293,
			        438,
			        2896,
			        "str\\(\\'H\\'\\)",
			        1,
			        "str\\(\\'tstat\\'\\)",
			        0.001,
			        1,
			        10
			    ],
			    [
			        456,
			        "456_0",
			        "COMPLETED",
			        "BoTorch",
			        "BOTORCH_MODULAR",
			        0.15,
			        352,
			        3320,
			        1868,
			        "str\\(\\'H\\'\\)",
			        1,
			        "str\\(\\'tstat\\'\\)",
			        0.999,
			        1,
			        10
			    ],
			    [
			        457,
			        "457_0",
			        "COMPLETED",
			        "BoTorch",
			        "BOTORCH_MODULAR",
			        0.15,
			        304,
			        2131,
			        4816,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'stdev\\'\\)",
			        0.12439047289995953,
			        1,
			        10
			    ],
			    [
			        458,
			        "458_0",
			        "COMPLETED",
			        "BoTorch",
			        "BOTORCH_MODULAR",
			        0.15,
			        350,
			        4722,
			        681,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'tstat\\'\\)",
			        0.999,
			        75,
			        10
			    ],
			    [
			        459,
			        "459_0",
			        "COMPLETED",
			        "BoTorch",
			        "BOTORCH_MODULAR",
			        0.15,
			        334,
			        3671,
			        3499,
			        "str\\(\\'H\\'\\)",
			        1,
			        "str\\(\\'stdev\\'\\)",
			        0.001,
			        1,
			        10
			    ],
			    [
			        460,
			        "460_0",
			        "COMPLETED",
			        "BoTorch",
			        "BOTORCH_MODULAR",
			        0.15,
			        342,
			        2844,
			        3119,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'stdev\\'\\)",
			        0.9894852890923383,
			        1,
			        10
			    ],
			    [
			        461,
			        "461_0",
			        "COMPLETED",
			        "BoTorch",
			        "BOTORCH_MODULAR",
			        0.15,
			        329,
			        4280,
			        3899,
			        "str\\(\\'H\\'\\)",
			        1,
			        "str\\(\\'stdev\\'\\)",
			        0.27179690297723297,
			        1,
			        10
			    ],
			    [
			        462,
			        "462_0",
			        "COMPLETED",
			        "BoTorch",
			        "BOTORCH_MODULAR",
			        0.15,
			        326,
			        453,
			        2345,
			        "str\\(\\'H\\'\\)",
			        1,
			        "str\\(\\'tstat\\'\\)",
			        0.999,
			        1,
			        10
			    ],
			    [
			        463,
			        "463_0",
			        "COMPLETED",
			        "BoTorch",
			        "BOTORCH_MODULAR",
			        0.15,
			        325,
			        3746,
			        1974,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'tstat\\'\\)",
			        0.7229108330157689,
			        1,
			        10
			    ],
			    [
			        464,
			        "464_0",
			        "COMPLETED",
			        "BoTorch",
			        "BOTORCH_MODULAR",
			        0.14,
			        897,
			        4439,
			        65,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'stdev\\'\\)",
			        0.999,
			        76,
			        10
			    ],
			    [
			        465,
			        "465_0",
			        "COMPLETED",
			        "BoTorch",
			        "BOTORCH_MODULAR",
			        0.15,
			        349,
			        2562,
			        1379,
			        "str\\(\\'H\\'\\)",
			        1,
			        "str\\(\\'tstat\\'\\)",
			        0.3249495505884905,
			        1,
			        10
			    ],
			    [
			        466,
			        "466_0",
			        "COMPLETED",
			        "BoTorch",
			        "BOTORCH_MODULAR",
			        0.15,
			        340,
			        4056,
			        2680,
			        "str\\(\\'H\\'\\)",
			        1,
			        "str\\(\\'tstat\\'\\)",
			        0.999,
			        1,
			        10
			    ],
			    [
			        467,
			        "467_0",
			        "COMPLETED",
			        "BoTorch",
			        "BOTORCH_MODULAR",
			        0.14,
			        294,
			        52,
			        361,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'stdev\\'\\)",
			        0.999,
			        76,
			        10
			    ],
			    [
			        468,
			        "468_0",
			        "COMPLETED",
			        "BoTorch",
			        "BOTORCH_MODULAR",
			        0.14,
			        233,
			        3417,
			        107,
			        "str\\(\\'KL\\'\\)",
			        3,
			        "str\\(\\'stdev\\'\\)",
			        0.001,
			        15,
			        10
			    ],
			    [
			        469,
			        "469_0",
			        "COMPLETED",
			        "BoTorch",
			        "BOTORCH_MODULAR",
			        0.15,
			        317,
			        5000,
			        1588,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'stdev\\'\\)",
			        0.999,
			        1,
			        10
			    ],
			    [
			        470,
			        "470_0",
			        "COMPLETED",
			        "BoTorch",
			        "BOTORCH_MODULAR",
			        0.14,
			        332,
			        557,
			        1274,
			        "str\\(\\'H\\'\\)",
			        1,
			        "str\\(\\'tstat\\'\\)",
			        0.999,
			        79,
			        10
			    ],
			    [
			        471,
			        "471_0",
			        "COMPLETED",
			        "BoTorch",
			        "BOTORCH_MODULAR",
			        0.14,
			        248,
			        5000,
			        385,
			        "str\\(\\'H\\'\\)",
			        2,
			        "str\\(\\'stdev\\'\\)",
			        0.999,
			        1,
			        10
			    ],
			    [
			        472,
			        "472_0",
			        "COMPLETED",
			        "BoTorch",
			        "BOTORCH_MODULAR",
			        0.13,
			        459,
			        1665,
			        405,
			        "str\\(\\'H\\'\\)",
			        2,
			        "str\\(\\'stdev\\'\\)",
			        0.999,
			        96,
			        10
			    ],
			    [
			        473,
			        "473_0",
			        "FAILED",
			        "BoTorch",
			        "BOTORCH_MODULAR",
			        "",
			        "",
			        3239,
			        1,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'tstat\\'\\)",
			        0.999,
			        78,
			        10
			    ],
			    [
			        474,
			        "474_0",
			        "FAILED",
			        "BoTorch",
			        "BOTORCH_MODULAR",
			        "",
			        "",
			        4519,
			        1,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'tstat\\'\\)",
			        0.999,
			        85,
			        10
			    ],
			    [
			        475,
			        "475_0",
			        "COMPLETED",
			        "BoTorch",
			        "BOTORCH_MODULAR",
			        0.14,
			        219,
			        1567,
			        192,
			        "str\\(\\'H\\'\\)",
			        2,
			        "str\\(\\'stdev\\'\\)",
			        0.464108679809302,
			        28,
			        10
			    ],
			    [
			        476,
			        "476_0",
			        "COMPLETED",
			        "BoTorch",
			        "BOTORCH_MODULAR",
			        0.15,
			        237,
			        1962,
			        298,
			        "str\\(\\'H\\'\\)",
			        2,
			        "str\\(\\'stdev\\'\\)",
			        0.8901269017481991,
			        49,
			        10
			    ],
			    [
			        477,
			        "477_0",
			        "COMPLETED",
			        "BoTorch",
			        "BOTORCH_MODULAR",
			        0.14,
			        274,
			        566,
			        110,
			        "str\\(\\'H\\'\\)",
			        2,
			        "str\\(\\'tstat\\'\\)",
			        0.7556300997770735,
			        46,
			        10
			    ],
			    [
			        478,
			        "478_0",
			        "COMPLETED",
			        "BoTorch",
			        "BOTORCH_MODULAR",
			        0.14,
			        186,
			        4342,
			        296,
			        "str\\(\\'KL\\'\\)",
			        2,
			        "str\\(\\'stdev\\'\\)",
			        0.999,
			        33,
			        10
			    ],
			    [
			        479,
			        "479_0",
			        "COMPLETED",
			        "BoTorch",
			        "BOTORCH_MODULAR",
			        0.15,
			        323,
			        2320,
			        895,
			        "str\\(\\'H\\'\\)",
			        1,
			        "str\\(\\'stdev\\'\\)",
			        0.5559923732171743,
			        1,
			        10
			    ],
			    [
			        480,
			        "480_0",
			        "COMPLETED",
			        "BoTorch",
			        "BOTORCH_MODULAR",
			        0.16,
			        454,
			        4464,
			        682,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'tstat\\'\\)",
			        0.999,
			        84,
			        10
			    ],
			    [
			        481,
			        "481_0",
			        "COMPLETED",
			        "BoTorch",
			        "BOTORCH_MODULAR",
			        0.14,
			        222,
			        4490,
			        522,
			        "str\\(\\'H\\'\\)",
			        2,
			        "str\\(\\'stdev\\'\\)",
			        0.999,
			        29,
			        10
			    ],
			    [
			        482,
			        "482_0",
			        "COMPLETED",
			        "BoTorch",
			        "BOTORCH_MODULAR",
			        0.15,
			        364,
			        201,
			        2029,
			        "str\\(\\'H\\'\\)",
			        1,
			        "str\\(\\'stdev\\'\\)",
			        0.5362977459626854,
			        1,
			        10
			    ],
			    [
			        483,
			        "483_0",
			        "COMPLETED",
			        "BoTorch",
			        "BOTORCH_MODULAR",
			        0.15,
			        361,
			        5000,
			        540,
			        "str\\(\\'H\\'\\)",
			        1,
			        "str\\(\\'tstat\\'\\)",
			        0.001,
			        1,
			        10
			    ],
			    [
			        484,
			        "484_0",
			        "COMPLETED",
			        "BoTorch",
			        "BOTORCH_MODULAR",
			        0.14,
			        256,
			        1946,
			        1482,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'tstat\\'\\)",
			        0.999,
			        82,
			        10
			    ],
			    [
			        485,
			        "485_0",
			        "COMPLETED",
			        "BoTorch",
			        "BOTORCH_MODULAR",
			        0.15,
			        325,
			        5000,
			        2644,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'stdev\\'\\)",
			        0.001,
			        1,
			        10
			    ],
			    [
			        486,
			        "486_0",
			        "COMPLETED",
			        "BoTorch",
			        "BOTORCH_MODULAR",
			        0.15,
			        354,
			        1,
			        4115,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'stdev\\'\\)",
			        0.999,
			        1,
			        10
			    ],
			    [
			        487,
			        "487_0",
			        "COMPLETED",
			        "BoTorch",
			        "BOTORCH_MODULAR",
			        0.14,
			        258,
			        2577,
			        4878,
			        "str\\(\\'KL\\'\\)",
			        2,
			        "str\\(\\'stdev\\'\\)",
			        0.999,
			        1,
			        10
			    ],
			    [
			        488,
			        "488_0",
			        "COMPLETED",
			        "BoTorch",
			        "BOTORCH_MODULAR",
			        0.15,
			        320,
			        5000,
			        3705,
			        "str\\(\\'H\\'\\)",
			        1,
			        "str\\(\\'stdev\\'\\)",
			        0.999,
			        1,
			        10
			    ],
			    [
			        489,
			        "489_0",
			        "COMPLETED",
			        "BoTorch",
			        "BOTORCH_MODULAR",
			        0.14,
			        219,
			        5000,
			        324,
			        "str\\(\\'KL\\'\\)",
			        3,
			        "str\\(\\'tstat\\'\\)",
			        0.999,
			        1,
			        10
			    ],
			    [
			        490,
			        "490_0",
			        "COMPLETED",
			        "BoTorch",
			        "BOTORCH_MODULAR",
			        0.15,
			        336,
			        5000,
			        4644,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'stdev\\'\\)",
			        0.999,
			        1,
			        10
			    ],
			    [
			        491,
			        "491_0",
			        "COMPLETED",
			        "BoTorch",
			        "BOTORCH_MODULAR",
			        0.15,
			        322,
			        5000,
			        1461,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'stdev\\'\\)",
			        0.001,
			        1,
			        10
			    ],
			    [
			        492,
			        "492_0",
			        "COMPLETED",
			        "BoTorch",
			        "BOTORCH_MODULAR",
			        0.15,
			        321,
			        5000,
			        2201,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'stdev\\'\\)",
			        0.001,
			        1,
			        10
			    ],
			    [
			        493,
			        "493_0",
			        "COMPLETED",
			        "BoTorch",
			        "BOTORCH_MODULAR",
			        0.15,
			        351,
			        4288,
			        1112,
			        "str\\(\\'H\\'\\)",
			        1,
			        "str\\(\\'tstat\\'\\)",
			        0.999,
			        1,
			        10
			    ],
			    [
			        494,
			        "494_0",
			        "COMPLETED",
			        "BoTorch",
			        "BOTORCH_MODULAR",
			        0.14,
			        419,
			        1841,
			        387,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'tstat\\'\\)",
			        0.001,
			        83,
			        10
			    ],
			    [
			        495,
			        "495_0",
			        "COMPLETED",
			        "BoTorch",
			        "BOTORCH_MODULAR",
			        0.12,
			        170,
			        5000,
			        5000,
			        "str\\(\\'H\\'\\)",
			        3,
			        "str\\(\\'tstat\\'\\)",
			        0.001,
			        100,
			        10
			    ],
			    [
			        496,
			        "496_0",
			        "COMPLETED",
			        "BoTorch",
			        "BOTORCH_MODULAR",
			        0.14,
			        207,
			        5000,
			        589,
			        "str\\(\\'KL\\'\\)",
			        3,
			        "str\\(\\'tstat\\'\\)",
			        0.999,
			        1,
			        10
			    ],
			    [
			        497,
			        "497_0",
			        "COMPLETED",
			        "BoTorch",
			        "BOTORCH_MODULAR",
			        0.15,
			        240,
			        5000,
			        188,
			        "str\\(\\'H\\'\\)",
			        3,
			        "str\\(\\'tstat\\'\\)",
			        0.999,
			        100,
			        10
			    ],
			    [
			        498,
			        "498_0",
			        "COMPLETED",
			        "BoTorch",
			        "BOTORCH_MODULAR",
			        0.14,
			        231,
			        1865,
			        737,
			        "str\\(\\'H\\'\\)",
			        2,
			        "str\\(\\'tstat\\'\\)",
			        0.999,
			        79,
			        10
			    ],
			    [
			        499,
			        "499_0",
			        "COMPLETED",
			        "BoTorch",
			        "BOTORCH_MODULAR",
			        0.14,
			        174,
			        5000,
			        4403,
			        "str\\(\\'KL\\'\\)",
			        2,
			        "str\\(\\'stdev\\'\\)",
			        0.999,
			        1,
			        10
			    ],
			    [
			        500,
			        "500_0",
			        "COMPLETED",
			        "BoTorch",
			        "BOTORCH_MODULAR",
			        0.13,
			        551,
			        684,
			        180,
			        "str\\(\\'KL\\'\\)",
			        2,
			        "str\\(\\'tstat\\'\\)",
			        0.001,
			        89,
			        10
			    ],
			    [
			        501,
			        "501_0",
			        "COMPLETED",
			        "BoTorch",
			        "BOTORCH_MODULAR",
			        0.15,
			        207,
			        5000,
			        841,
			        "str\\(\\'KL\\'\\)",
			        2,
			        "str\\(\\'tstat\\'\\)",
			        0.999,
			        1,
			        10
			    ],
			    [
			        502,
			        "502_0",
			        "FAILED",
			        "BoTorch",
			        "BOTORCH_MODULAR",
			        "",
			        "",
			        777,
			        1,
			        "str\\(\\'H\\'\\)",
			        1,
			        "str\\(\\'stdev\\'\\)",
			        0.001,
			        1,
			        10
			    ],
			    [
			        503,
			        "503_0",
			        "COMPLETED",
			        "BoTorch",
			        "BOTORCH_MODULAR",
			        0.14,
			        214,
			        3148,
			        1464,
			        "str\\(\\'H\\'\\)",
			        3,
			        "str\\(\\'tstat\\'\\)",
			        0.999,
			        100,
			        10
			    ],
			    [
			        504,
			        "504_0",
			        "COMPLETED",
			        "BoTorch",
			        "BOTORCH_MODULAR",
			        0.14,
			        218,
			        5000,
			        372,
			        "str\\(\\'H\\'\\)",
			        3,
			        "str\\(\\'tstat\\'\\)",
			        0.999,
			        100,
			        10
			    ],
			    [
			        505,
			        "505_0",
			        "COMPLETED",
			        "BoTorch",
			        "BOTORCH_MODULAR",
			        0.15,
			        317,
			        2059,
			        799,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'tstat\\'\\)",
			        0.999,
			        1,
			        10
			    ],
			    [
			        506,
			        "506_0",
			        "COMPLETED",
			        "BoTorch",
			        "BOTORCH_MODULAR",
			        0.14,
			        231,
			        5000,
			        155,
			        "str\\(\\'H\\'\\)",
			        2,
			        "str\\(\\'tstat\\'\\)",
			        0.001,
			        1,
			        10
			    ],
			    [
			        507,
			        "507_0",
			        "COMPLETED",
			        "BoTorch",
			        "BOTORCH_MODULAR",
			        0.15,
			        356,
			        5000,
			        1240,
			        "str\\(\\'H\\'\\)",
			        1,
			        "str\\(\\'stdev\\'\\)",
			        0.001,
			        1,
			        10
			    ],
			    [
			        508,
			        "508_0",
			        "COMPLETED",
			        "BoTorch",
			        "BOTORCH_MODULAR",
			        0.15,
			        246,
			        5000,
			        2110,
			        "str\\(\\'KL\\'\\)",
			        2,
			        "str\\(\\'tstat\\'\\)",
			        0.999,
			        1,
			        10
			    ],
			    [
			        509,
			        "509_0",
			        "COMPLETED",
			        "BoTorch",
			        "BOTORCH_MODULAR",
			        0.14,
			        214,
			        2939,
			        3333,
			        "str\\(\\'H\\'\\)",
			        3,
			        "str\\(\\'stdev\\'\\)",
			        0.001,
			        94,
			        10
			    ],
			    [
			        510,
			        "510_0",
			        "COMPLETED",
			        "BoTorch",
			        "BOTORCH_MODULAR",
			        0.15,
			        348,
			        5000,
			        40,
			        "str\\(\\'H\\'\\)",
			        1,
			        "str\\(\\'stdev\\'\\)",
			        0.001,
			        1,
			        10
			    ],
			    [
			        511,
			        "511_0",
			        "COMPLETED",
			        "BoTorch",
			        "BOTORCH_MODULAR",
			        0.14,
			        264,
			        5000,
			        2477,
			        "str\\(\\'KL\\'\\)",
			        2,
			        "str\\(\\'stdev\\'\\)",
			        0.999,
			        1,
			        10
			    ],
			    [
			        512,
			        "512_0",
			        "COMPLETED",
			        "BoTorch",
			        "BOTORCH_MODULAR",
			        0.14,
			        310,
			        4838,
			        1691,
			        "str\\(\\'H\\'\\)",
			        1,
			        "str\\(\\'tstat\\'\\)",
			        0.999,
			        82,
			        10
			    ],
			    [
			        513,
			        "513_0",
			        "COMPLETED",
			        "BoTorch",
			        "BOTORCH_MODULAR",
			        0.13,
			        210,
			        5000,
			        1158,
			        "str\\(\\'H\\'\\)",
			        3,
			        "str\\(\\'tstat\\'\\)",
			        0.999,
			        100,
			        10
			    ],
			    [
			        514,
			        "514_0",
			        "COMPLETED",
			        "BoTorch",
			        "BOTORCH_MODULAR",
			        0.14,
			        261,
			        5000,
			        3272,
			        "str\\(\\'KL\\'\\)",
			        2,
			        "str\\(\\'stdev\\'\\)",
			        0.999,
			        1,
			        10
			    ],
			    [
			        515,
			        "515_0",
			        "COMPLETED",
			        "BoTorch",
			        "BOTORCH_MODULAR",
			        0.14,
			        187,
			        4594,
			        102,
			        "str\\(\\'KL\\'\\)",
			        3,
			        "str\\(\\'stdev\\'\\)",
			        0.999,
			        27,
			        10
			    ],
			    [
			        516,
			        "516_0",
			        "COMPLETED",
			        "BoTorch",
			        "BOTORCH_MODULAR",
			        0.14,
			        195,
			        2913,
			        105,
			        "str\\(\\'H\\'\\)",
			        3,
			        "str\\(\\'tstat\\'\\)",
			        0.001,
			        49,
			        10
			    ],
			    [
			        517,
			        "517_0",
			        "COMPLETED",
			        "BoTorch",
			        "BOTORCH_MODULAR",
			        0.14,
			        245,
			        4464,
			        3038,
			        "str\\(\\'KL\\'\\)",
			        2,
			        "str\\(\\'tstat\\'\\)",
			        0.999,
			        39,
			        10
			    ],
			    [
			        518,
			        "518_0",
			        "COMPLETED",
			        "BoTorch",
			        "BOTORCH_MODULAR",
			        0.14,
			        201,
			        3477,
			        873,
			        "str\\(\\'KL\\'\\)",
			        3,
			        "str\\(\\'stdev\\'\\)",
			        0.2715996473609908,
			        35,
			        10
			    ],
			    [
			        519,
			        "519_0",
			        "COMPLETED",
			        "BoTorch",
			        "BOTORCH_MODULAR",
			        0.15,
			        275,
			        80,
			        197,
			        "str\\(\\'H\\'\\)",
			        2,
			        "str\\(\\'tstat\\'\\)",
			        0.999,
			        1,
			        10
			    ],
			    [
			        520,
			        "520_0",
			        "COMPLETED",
			        "BoTorch",
			        "BOTORCH_MODULAR",
			        0.14,
			        145,
			        3096,
			        290,
			        "str\\(\\'H\\'\\)",
			        3,
			        "str\\(\\'stdev\\'\\)",
			        0.001,
			        34,
			        10
			    ],
			    [
			        521,
			        "521_0",
			        "COMPLETED",
			        "BoTorch",
			        "BOTORCH_MODULAR",
			        0.14,
			        232,
			        1269,
			        947,
			        "str\\(\\'H\\'\\)",
			        2,
			        "str\\(\\'tstat\\'\\)",
			        0.999,
			        50,
			        10
			    ],
			    [
			        522,
			        "522_0",
			        "COMPLETED",
			        "BoTorch",
			        "BOTORCH_MODULAR",
			        0.14,
			        282,
			        3896,
			        932,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'tstat\\'\\)",
			        0.999,
			        72,
			        10
			    ],
			    [
			        523,
			        "523_0",
			        "COMPLETED",
			        "BoTorch",
			        "BOTORCH_MODULAR",
			        0.14,
			        168,
			        4655,
			        1355,
			        "str\\(\\'KL\\'\\)",
			        2,
			        "str\\(\\'tstat\\'\\)",
			        0.999,
			        74,
			        10
			    ],
			    [
			        524,
			        "524_0",
			        "COMPLETED",
			        "BoTorch",
			        "BOTORCH_MODULAR",
			        0.15,
			        628,
			        4326,
			        417,
			        "str\\(\\'H\\'\\)",
			        1,
			        "str\\(\\'tstat\\'\\)",
			        0.999,
			        81,
			        10
			    ],
			    [
			        525,
			        "525_0",
			        "COMPLETED",
			        "BoTorch",
			        "BOTORCH_MODULAR",
			        0.13,
			        191,
			        917,
			        3373,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'tstat\\'\\)",
			        0.001,
			        94,
			        10
			    ],
			    [
			        526,
			        "526_0",
			        "COMPLETED",
			        "BoTorch",
			        "BOTORCH_MODULAR",
			        0.14,
			        222,
			        545,
			        322,
			        "str\\(\\'KL\\'\\)",
			        3,
			        "str\\(\\'stdev\\'\\)",
			        0.001,
			        51,
			        10
			    ],
			    [
			        527,
			        "527_0",
			        "COMPLETED",
			        "BoTorch",
			        "BOTORCH_MODULAR",
			        0.14,
			        236,
			        4210,
			        3030,
			        "str\\(\\'KL\\'\\)",
			        3,
			        "str\\(\\'tstat\\'\\)",
			        0.999,
			        54,
			        10
			    ],
			    [
			        528,
			        "528_0",
			        "COMPLETED",
			        "BoTorch",
			        "BOTORCH_MODULAR",
			        0.13,
			        245,
			        3260,
			        3747,
			        "str\\(\\'H\\'\\)",
			        3,
			        "str\\(\\'stdev\\'\\)",
			        0.001,
			        100,
			        10
			    ],
			    [
			        529,
			        "529_0",
			        "COMPLETED",
			        "BoTorch",
			        "BOTORCH_MODULAR",
			        0.13,
			        225,
			        4882,
			        1368,
			        "str\\(\\'H\\'\\)",
			        2,
			        "str\\(\\'tstat\\'\\)",
			        0.999,
			        44,
			        10
			    ],
			    [
			        530,
			        "530_0",
			        "COMPLETED",
			        "BoTorch",
			        "BOTORCH_MODULAR",
			        0.13,
			        190,
			        1222,
			        2861,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'stdev\\'\\)",
			        0.999,
			        76,
			        10
			    ],
			    [
			        531,
			        "531_0",
			        "COMPLETED",
			        "BoTorch",
			        "BOTORCH_MODULAR",
			        0.12,
			        232,
			        4184,
			        5000,
			        "str\\(\\'H\\'\\)",
			        1,
			        "str\\(\\'stdev\\'\\)",
			        0.001,
			        100,
			        10
			    ],
			    [
			        532,
			        "532_0",
			        "COMPLETED",
			        "BoTorch",
			        "BOTORCH_MODULAR",
			        0.15,
			        260,
			        180,
			        689,
			        "str\\(\\'H\\'\\)",
			        2,
			        "str\\(\\'stdev\\'\\)",
			        0.999,
			        3,
			        10
			    ],
			    [
			        533,
			        "533_0",
			        "COMPLETED",
			        "BoTorch",
			        "BOTORCH_MODULAR",
			        0.14,
			        143,
			        1101,
			        249,
			        "str\\(\\'H\\'\\)",
			        3,
			        "str\\(\\'stdev\\'\\)",
			        0.001,
			        12,
			        10
			    ],
			    [
			        534,
			        "534_0",
			        "COMPLETED",
			        "BoTorch",
			        "BOTORCH_MODULAR",
			        0.15,
			        351,
			        5000,
			        1797,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'stdev\\'\\)",
			        0.001,
			        1,
			        10
			    ],
			    [
			        535,
			        "535_0",
			        "COMPLETED",
			        "BoTorch",
			        "BOTORCH_MODULAR",
			        0.15,
			        322,
			        1,
			        4238,
			        "str\\(\\'H\\'\\)",
			        1,
			        "str\\(\\'stdev\\'\\)",
			        0.001,
			        1,
			        10
			    ],
			    [
			        536,
			        "536_0",
			        "COMPLETED",
			        "BoTorch",
			        "BOTORCH_MODULAR",
			        0.14,
			        257,
			        2076,
			        314,
			        "str\\(\\'KL\\'\\)",
			        2,
			        "str\\(\\'stdev\\'\\)",
			        0.001,
			        48,
			        10
			    ],
			    [
			        537,
			        "537_0",
			        "COMPLETED",
			        "BoTorch",
			        "BOTORCH_MODULAR",
			        0.14,
			        209,
			        3017,
			        400,
			        "str\\(\\'H\\'\\)",
			        3,
			        "str\\(\\'stdev\\'\\)",
			        0.999,
			        8,
			        10
			    ],
			    [
			        538,
			        "538_0",
			        "COMPLETED",
			        "BoTorch",
			        "BOTORCH_MODULAR",
			        0.15,
			        338,
			        1311,
			        560,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'stdev\\'\\)",
			        0.999,
			        2,
			        10
			    ],
			    [
			        539,
			        "539_0",
			        "COMPLETED",
			        "BoTorch",
			        "BOTORCH_MODULAR",
			        0.13,
			        201,
			        4900,
			        4674,
			        "str\\(\\'H\\'\\)",
			        2,
			        "str\\(\\'stdev\\'\\)",
			        0.001,
			        81,
			        10
			    ],
			    [
			        540,
			        "540_0",
			        "COMPLETED",
			        "BoTorch",
			        "BOTORCH_MODULAR",
			        0.14,
			        223,
			        3667,
			        693,
			        "str\\(\\'H\\'\\)",
			        3,
			        "str\\(\\'tstat\\'\\)",
			        0.999,
			        52,
			        10
			    ],
			    [
			        541,
			        "541_0",
			        "COMPLETED",
			        "BoTorch",
			        "BOTORCH_MODULAR",
			        0.14,
			        179,
			        5000,
			        1484,
			        "str\\(\\'H\\'\\)",
			        2,
			        "str\\(\\'tstat\\'\\)",
			        0.999,
			        1,
			        10
			    ],
			    [
			        542,
			        "542_0",
			        "COMPLETED",
			        "BoTorch",
			        "BOTORCH_MODULAR",
			        0.15,
			        232,
			        5000,
			        4397,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'stdev\\'\\)",
			        0.999,
			        1,
			        10
			    ],
			    [
			        543,
			        "543_0",
			        "COMPLETED",
			        "BoTorch",
			        "BOTORCH_MODULAR",
			        0.15,
			        348,
			        3609,
			        370,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'stdev\\'\\)",
			        0.001,
			        1,
			        10
			    ],
			    [
			        544,
			        "544_0",
			        "COMPLETED",
			        "BoTorch",
			        "BOTORCH_MODULAR",
			        0.13,
			        195,
			        1907,
			        874,
			        "str\\(\\'H\\'\\)",
			        3,
			        "str\\(\\'stdev\\'\\)",
			        0.999,
			        51,
			        10
			    ],
			    [
			        545,
			        "545_0",
			        "COMPLETED",
			        "BoTorch",
			        "BOTORCH_MODULAR",
			        0.13,
			        159,
			        4051,
			        1841,
			        "str\\(\\'H\\'\\)",
			        3,
			        "str\\(\\'tstat\\'\\)",
			        0.001,
			        94,
			        10
			    ],
			    [
			        546,
			        "546_0",
			        "COMPLETED",
			        "BoTorch",
			        "BOTORCH_MODULAR",
			        0.14,
			        147,
			        2714,
			        3453,
			        "str\\(\\'H\\'\\)",
			        3,
			        "str\\(\\'stdev\\'\\)",
			        0.001,
			        85,
			        10
			    ],
			    [
			        547,
			        "547_0",
			        "COMPLETED",
			        "BoTorch",
			        "BOTORCH_MODULAR",
			        0.14,
			        205,
			        3600,
			        1773,
			        "str\\(\\'KL\\'\\)",
			        2,
			        "str\\(\\'stdev\\'\\)",
			        0.001,
			        1,
			        10
			    ],
			    [
			        548,
			        "548_0",
			        "COMPLETED",
			        "BoTorch",
			        "BOTORCH_MODULAR",
			        0.15,
			        176,
			        1,
			        3721,
			        "str\\(\\'KL\\'\\)",
			        2,
			        "str\\(\\'stdev\\'\\)",
			        0.999,
			        1,
			        10
			    ],
			    [
			        549,
			        "549_0",
			        "COMPLETED",
			        "BoTorch",
			        "BOTORCH_MODULAR",
			        0.14,
			        129,
			        1141,
			        3456,
			        "str\\(\\'KL\\'\\)",
			        3,
			        "str\\(\\'stdev\\'\\)",
			        0.999,
			        19,
			        10
			    ],
			    [
			        550,
			        "550_0",
			        "COMPLETED",
			        "BoTorch",
			        "BOTORCH_MODULAR",
			        0.14,
			        257,
			        1,
			        3599,
			        "str\\(\\'KL\\'\\)",
			        2,
			        "str\\(\\'tstat\\'\\)",
			        0.001,
			        1,
			        10
			    ],
			    [
			        551,
			        "551_0",
			        "COMPLETED",
			        "BoTorch",
			        "BOTORCH_MODULAR",
			        0.13,
			        206,
			        3921,
			        3193,
			        "str\\(\\'H\\'\\)",
			        2,
			        "str\\(\\'tstat\\'\\)",
			        0.001,
			        78,
			        10
			    ],
			    [
			        552,
			        "552_0",
			        "COMPLETED",
			        "BoTorch",
			        "BOTORCH_MODULAR",
			        0.15,
			        205,
			        4315,
			        1095,
			        "str\\(\\'H\\'\\)",
			        3,
			        "str\\(\\'stdev\\'\\)",
			        0.001,
			        21,
			        10
			    ],
			    [
			        553,
			        "553_0",
			        "COMPLETED",
			        "BoTorch",
			        "BOTORCH_MODULAR",
			        0.14,
			        180,
			        2041,
			        122,
			        "str\\(\\'H\\'\\)",
			        3,
			        "str\\(\\'tstat\\'\\)",
			        0.999,
			        37,
			        10
			    ],
			    [
			        554,
			        "554_0",
			        "COMPLETED",
			        "BoTorch",
			        "BOTORCH_MODULAR",
			        0.14,
			        225,
			        3061,
			        2444,
			        "str\\(\\'H\\'\\)",
			        3,
			        "str\\(\\'tstat\\'\\)",
			        0.999,
			        52,
			        10
			    ],
			    [
			        555,
			        "555_0",
			        "COMPLETED",
			        "BoTorch",
			        "BOTORCH_MODULAR",
			        0.13,
			        237,
			        4465,
			        1798,
			        "str\\(\\'H\\'\\)",
			        2,
			        "str\\(\\'tstat\\'\\)",
			        0.999,
			        82,
			        10
			    ],
			    [
			        556,
			        "556_0",
			        "COMPLETED",
			        "BoTorch",
			        "BOTORCH_MODULAR",
			        0.14,
			        282,
			        3492,
			        1144,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'tstat\\'\\)",
			        0.001,
			        85,
			        10
			    ],
			    [
			        557,
			        "557_0",
			        "COMPLETED",
			        "BoTorch",
			        "BOTORCH_MODULAR",
			        0.13,
			        231,
			        1122,
			        1668,
			        "str\\(\\'KL\\'\\)",
			        3,
			        "str\\(\\'tstat\\'\\)",
			        0.001,
			        70,
			        10
			    ],
			    [
			        558,
			        "558_0",
			        "COMPLETED",
			        "BoTorch",
			        "BOTORCH_MODULAR",
			        0.14,
			        208,
			        3092,
			        1625,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'stdev\\'\\)",
			        0.001,
			        24,
			        10
			    ],
			    [
			        559,
			        "559_0",
			        "COMPLETED",
			        "BoTorch",
			        "BOTORCH_MODULAR",
			        0.14,
			        173,
			        1929,
			        3500,
			        "str\\(\\'KL\\'\\)",
			        3,
			        "str\\(\\'stdev\\'\\)",
			        0.999,
			        89,
			        10
			    ],
			    [
			        560,
			        "560_0",
			        "COMPLETED",
			        "BoTorch",
			        "BOTORCH_MODULAR",
			        0.13,
			        208,
			        1749,
			        3282,
			        "str\\(\\'KL\\'\\)",
			        3,
			        "str\\(\\'stdev\\'\\)",
			        0.001,
			        19,
			        10
			    ],
			    [
			        561,
			        "561_0",
			        "COMPLETED",
			        "BoTorch",
			        "BOTORCH_MODULAR",
			        0.13,
			        160,
			        4148,
			        2766,
			        "str\\(\\'KL\\'\\)",
			        3,
			        "str\\(\\'tstat\\'\\)",
			        0.001,
			        51,
			        10
			    ],
			    [
			        562,
			        "562_0",
			        "COMPLETED",
			        "BoTorch",
			        "BOTORCH_MODULAR",
			        0.15,
			        245,
			        2330,
			        4130,
			        "str\\(\\'KL\\'\\)",
			        2,
			        "str\\(\\'stdev\\'\\)",
			        0.999,
			        1,
			        10
			    ],
			    [
			        563,
			        "563_0",
			        "COMPLETED",
			        "BoTorch",
			        "BOTORCH_MODULAR",
			        0.15,
			        247,
			        1,
			        4016,
			        "str\\(\\'KL\\'\\)",
			        2,
			        "str\\(\\'stdev\\'\\)",
			        0.001,
			        1,
			        10
			    ],
			    [
			        564,
			        "564_0",
			        "COMPLETED",
			        "BoTorch",
			        "BOTORCH_MODULAR",
			        0.12,
			        183,
			        2829,
			        4874,
			        "str\\(\\'H\\'\\)",
			        3,
			        "str\\(\\'stdev\\'\\)",
			        0.999,
			        33,
			        10
			    ],
			    [
			        565,
			        "565_0",
			        "COMPLETED",
			        "BoTorch",
			        "BOTORCH_MODULAR",
			        0.14,
			        212,
			        355,
			        1409,
			        "str\\(\\'H\\'\\)",
			        3,
			        "str\\(\\'stdev\\'\\)",
			        0.001,
			        23,
			        10
			    ],
			    [
			        566,
			        "566_0",
			        "COMPLETED",
			        "BoTorch",
			        "BOTORCH_MODULAR",
			        0.14,
			        202,
			        2975,
			        206,
			        "str\\(\\'H\\'\\)",
			        3,
			        "str\\(\\'stdev\\'\\)",
			        0.999,
			        40,
			        10
			    ],
			    [
			        567,
			        "567_0",
			        "COMPLETED",
			        "BoTorch",
			        "BOTORCH_MODULAR",
			        0.15,
			        246,
			        1020,
			        3783,
			        "str\\(\\'H\\'\\)",
			        2,
			        "str\\(\\'stdev\\'\\)",
			        0.999,
			        1,
			        10
			    ],
			    [
			        568,
			        "568_0",
			        "COMPLETED",
			        "BoTorch",
			        "BOTORCH_MODULAR",
			        0.15,
			        246,
			        1,
			        4273,
			        "str\\(\\'KL\\'\\)",
			        2,
			        "str\\(\\'stdev\\'\\)",
			        0.001,
			        1,
			        10
			    ],
			    [
			        569,
			        "569_0",
			        "COMPLETED",
			        "BoTorch",
			        "BOTORCH_MODULAR",
			        0.14,
			        244,
			        1238,
			        4468,
			        "str\\(\\'KL\\'\\)",
			        2,
			        "str\\(\\'stdev\\'\\)",
			        0.001,
			        1,
			        10
			    ],
			    [
			        570,
			        "570_0",
			        "COMPLETED",
			        "BoTorch",
			        "BOTORCH_MODULAR",
			        0.14,
			        203,
			        1257,
			        3405,
			        "str\\(\\'KL\\'\\)",
			        2,
			        "str\\(\\'stdev\\'\\)",
			        0.001,
			        1,
			        10
			    ],
			    [
			        571,
			        "571_0",
			        "COMPLETED",
			        "BoTorch",
			        "BOTORCH_MODULAR",
			        0.13,
			        150,
			        703,
			        2830,
			        "str\\(\\'H\\'\\)",
			        2,
			        "str\\(\\'stdev\\'\\)",
			        0.999,
			        89,
			        10
			    ],
			    [
			        572,
			        "572_0",
			        "COMPLETED",
			        "BoTorch",
			        "BOTORCH_MODULAR",
			        0.14,
			        367,
			        284,
			        904,
			        "str\\(\\'H\\'\\)",
			        1,
			        "str\\(\\'tstat\\'\\)",
			        0.999,
			        82,
			        10
			    ],
			    [
			        573,
			        "573_0",
			        "COMPLETED",
			        "BoTorch",
			        "BOTORCH_MODULAR",
			        0.14,
			        263,
			        3904,
			        191,
			        "str\\(\\'H\\'\\)",
			        1,
			        "str\\(\\'tstat\\'\\)",
			        0.999,
			        30,
			        10
			    ],
			    [
			        574,
			        "574_0",
			        "COMPLETED",
			        "BoTorch",
			        "BOTORCH_MODULAR",
			        0.14,
			        203,
			        898,
			        101,
			        "str\\(\\'KL\\'\\)",
			        3,
			        "str\\(\\'tstat\\'\\)",
			        0.999,
			        100,
			        10
			    ],
			    [
			        575,
			        "575_0",
			        "COMPLETED",
			        "BoTorch",
			        "BOTORCH_MODULAR",
			        0.13,
			        186,
			        4762,
			        954,
			        "str\\(\\'H\\'\\)",
			        3,
			        "str\\(\\'tstat\\'\\)",
			        0.001,
			        21,
			        10
			    ],
			    [
			        576,
			        "576_0",
			        "COMPLETED",
			        "BoTorch",
			        "BOTORCH_MODULAR",
			        0.14,
			        170,
			        4304,
			        112,
			        "str\\(\\'H\\'\\)",
			        3,
			        "str\\(\\'tstat\\'\\)",
			        0.999,
			        3,
			        10
			    ],
			    [
			        577,
			        "577_0",
			        "COMPLETED",
			        "BoTorch",
			        "BOTORCH_MODULAR",
			        0.15,
			        326,
			        4105,
			        2434,
			        "str\\(\\'H\\'\\)",
			        1,
			        "str\\(\\'tstat\\'\\)",
			        0.999,
			        1,
			        10
			    ],
			    [
			        578,
			        "578_0",
			        "COMPLETED",
			        "BoTorch",
			        "BOTORCH_MODULAR",
			        0.14,
			        247,
			        3918,
			        2809,
			        "str\\(\\'H\\'\\)",
			        2,
			        "str\\(\\'stdev\\'\\)",
			        0.999,
			        1,
			        10
			    ],
			    [
			        579,
			        "579_0",
			        "COMPLETED",
			        "BoTorch",
			        "BOTORCH_MODULAR",
			        0.14,
			        236,
			        1,
			        4695,
			        "str\\(\\'H\\'\\)",
			        2,
			        "str\\(\\'stdev\\'\\)",
			        0.999,
			        1,
			        10
			    ],
			    [
			        580,
			        "580_0",
			        "COMPLETED",
			        "BoTorch",
			        "BOTORCH_MODULAR",
			        0.15,
			        326,
			        1783,
			        4693,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'tstat\\'\\)",
			        0.001,
			        1,
			        10
			    ],
			    [
			        581,
			        "581_0",
			        "COMPLETED",
			        "BoTorch",
			        "BOTORCH_MODULAR",
			        0.15,
			        332,
			        5000,
			        303,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'tstat\\'\\)",
			        0.999,
			        1,
			        10
			    ],
			    [
			        582,
			        "582_0",
			        "COMPLETED",
			        "BoTorch",
			        "BOTORCH_MODULAR",
			        0.14,
			        224,
			        1029,
			        122,
			        "str\\(\\'KL\\'\\)",
			        3,
			        "str\\(\\'stdev\\'\\)",
			        0.001,
			        40,
			        10
			    ],
			    [
			        583,
			        "583_0",
			        "COMPLETED",
			        "BoTorch",
			        "BOTORCH_MODULAR",
			        0.15,
			        338,
			        1,
			        1147,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'stdev\\'\\)",
			        0.999,
			        1,
			        10
			    ],
			    [
			        584,
			        "584_0",
			        "COMPLETED",
			        "BoTorch",
			        "BOTORCH_MODULAR",
			        0.15,
			        319,
			        1,
			        4484,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'tstat\\'\\)",
			        0.999,
			        1,
			        10
			    ],
			    [
			        585,
			        "585_0",
			        "COMPLETED",
			        "BoTorch",
			        "BOTORCH_MODULAR",
			        0.14,
			        245,
			        4432,
			        1923,
			        "str\\(\\'KL\\'\\)",
			        2,
			        "str\\(\\'tstat\\'\\)",
			        0.001,
			        1,
			        10
			    ],
			    [
			        586,
			        "586_0",
			        "COMPLETED",
			        "BoTorch",
			        "BOTORCH_MODULAR",
			        0.15,
			        315,
			        1,
			        671,
			        "str\\(\\'H\\'\\)",
			        1,
			        "str\\(\\'stdev\\'\\)",
			        0.001,
			        1,
			        10
			    ],
			    [
			        587,
			        "587_0",
			        "COMPLETED",
			        "BoTorch",
			        "BOTORCH_MODULAR",
			        0.15,
			        330,
			        1,
			        1566,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'tstat\\'\\)",
			        0.999,
			        1,
			        10
			    ],
			    [
			        588,
			        "588_0",
			        "COMPLETED",
			        "BoTorch",
			        "BOTORCH_MODULAR",
			        0.15,
			        318,
			        1,
			        2517,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'stdev\\'\\)",
			        0.045632619968194225,
			        1,
			        10
			    ],
			    [
			        589,
			        "589_0",
			        "COMPLETED",
			        "BoTorch",
			        "BOTORCH_MODULAR",
			        0.15,
			        337,
			        5000,
			        4925,
			        "str\\(\\'H\\'\\)",
			        1,
			        "str\\(\\'stdev\\'\\)",
			        0.999,
			        1,
			        10
			    ],
			    [
			        590,
			        "590_0",
			        "COMPLETED",
			        "BoTorch",
			        "BOTORCH_MODULAR",
			        0.14,
			        229,
			        4885,
			        4829,
			        "str\\(\\'KL\\'\\)",
			        2,
			        "str\\(\\'stdev\\'\\)",
			        0.001,
			        1,
			        10
			    ],
			    [
			        591,
			        "591_0",
			        "COMPLETED",
			        "BoTorch",
			        "BOTORCH_MODULAR",
			        0.15,
			        245,
			        1511,
			        439,
			        "str\\(\\'H\\'\\)",
			        2,
			        "str\\(\\'tstat\\'\\)",
			        0.999,
			        1,
			        10
			    ],
			    [
			        592,
			        "592_0",
			        "COMPLETED",
			        "BoTorch",
			        "BOTORCH_MODULAR",
			        0.15,
			        256,
			        1,
			        4286,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'stdev\\'\\)",
			        0.999,
			        1,
			        10
			    ],
			    [
			        593,
			        "593_0",
			        "COMPLETED",
			        "BoTorch",
			        "BOTORCH_MODULAR",
			        0.14,
			        184,
			        947,
			        91,
			        "str\\(\\'H\\'\\)",
			        3,
			        "str\\(\\'stdev\\'\\)",
			        0.001,
			        24,
			        10
			    ],
			    [
			        594,
			        "594_0",
			        "COMPLETED",
			        "BoTorch",
			        "BOTORCH_MODULAR",
			        0.13,
			        179,
			        2078,
			        4388,
			        "str\\(\\'H\\'\\)",
			        3,
			        "str\\(\\'stdev\\'\\)",
			        0.999,
			        83,
			        10
			    ],
			    [
			        595,
			        "595_0",
			        "COMPLETED",
			        "BoTorch",
			        "BOTORCH_MODULAR",
			        0.15,
			        316,
			        93,
			        3987,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'tstat\\'\\)",
			        0.999,
			        1,
			        10
			    ],
			    [
			        596,
			        "596_0",
			        "COMPLETED",
			        "BoTorch",
			        "BOTORCH_MODULAR",
			        0.15,
			        311,
			        1,
			        3374,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'stdev\\'\\)",
			        0.999,
			        1,
			        10
			    ],
			    [
			        597,
			        "597_0",
			        "COMPLETED",
			        "BoTorch",
			        "BOTORCH_MODULAR",
			        0.14,
			        204,
			        1,
			        4554,
			        "str\\(\\'KL\\'\\)",
			        2,
			        "str\\(\\'stdev\\'\\)",
			        0.999,
			        1,
			        10
			    ],
			    [
			        598,
			        "598_0",
			        "COMPLETED",
			        "BoTorch",
			        "BOTORCH_MODULAR",
			        0.14,
			        192,
			        3499,
			        256,
			        "str\\(\\'H\\'\\)",
			        3,
			        "str\\(\\'stdev\\'\\)",
			        0.001,
			        67,
			        10
			    ],
			    [
			        599,
			        "599_0",
			        "COMPLETED",
			        "BoTorch",
			        "BOTORCH_MODULAR",
			        0.15,
			        235,
			        1583,
			        1118,
			        "str\\(\\'KL\\'\\)",
			        2,
			        "str\\(\\'tstat\\'\\)",
			        0.11133160111796349,
			        1,
			        10
			    ],
			    [
			        600,
			        "600_0",
			        "COMPLETED",
			        "BoTorch",
			        "BOTORCH_MODULAR",
			        0.14,
			        224,
			        3323,
			        280,
			        "str\\(\\'H\\'\\)",
			        2,
			        "str\\(\\'stdev\\'\\)",
			        0.3981602361806694,
			        32,
			        10
			    ],
			    [
			        601,
			        "601_0",
			        "COMPLETED",
			        "BoTorch",
			        "BOTORCH_MODULAR",
			        0.14,
			        210,
			        3784,
			        906,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'stdev\\'\\)",
			        0.7444607609024096,
			        23,
			        10
			    ],
			    [
			        602,
			        "602_0",
			        "COMPLETED",
			        "BoTorch",
			        "BOTORCH_MODULAR",
			        0.14,
			        194,
			        4234,
			        212,
			        "str\\(\\'KL\\'\\)",
			        3,
			        "str\\(\\'stdev\\'\\)",
			        0.5631430337463584,
			        32,
			        10
			    ],
			    [
			        603,
			        "603_0",
			        "COMPLETED",
			        "BoTorch",
			        "BOTORCH_MODULAR",
			        0.15,
			        235,
			        4941,
			        754,
			        "str\\(\\'KL\\'\\)",
			        2,
			        "str\\(\\'tstat\\'\\)",
			        0.001,
			        1,
			        10
			    ],
			    [
			        604,
			        "604_0",
			        "COMPLETED",
			        "BoTorch",
			        "BOTORCH_MODULAR",
			        0.14,
			        253,
			        2460,
			        163,
			        "str\\(\\'KL\\'\\)",
			        2,
			        "str\\(\\'stdev\\'\\)",
			        0.001,
			        47,
			        10
			    ],
			    [
			        605,
			        "605_0",
			        "COMPLETED",
			        "BoTorch",
			        "BOTORCH_MODULAR",
			        0.14,
			        247,
			        1297,
			        2961,
			        "str\\(\\'KL\\'\\)",
			        2,
			        "str\\(\\'stdev\\'\\)",
			        0.001,
			        1,
			        10
			    ],
			    [
			        606,
			        "606_0",
			        "COMPLETED",
			        "BoTorch",
			        "BOTORCH_MODULAR",
			        0.14,
			        183,
			        5000,
			        3019,
			        "str\\(\\'H\\'\\)",
			        2,
			        "str\\(\\'tstat\\'\\)",
			        0.999,
			        1,
			        10
			    ],
			    [
			        607,
			        "607_0",
			        "COMPLETED",
			        "BoTorch",
			        "BOTORCH_MODULAR",
			        0.14,
			        197,
			        5000,
			        1968,
			        "str\\(\\'KL\\'\\)",
			        3,
			        "str\\(\\'stdev\\'\\)",
			        0.999,
			        67,
			        10
			    ],
			    [
			        608,
			        "608_0",
			        "COMPLETED",
			        "BoTorch",
			        "BOTORCH_MODULAR",
			        0.15,
			        273,
			        1,
			        3712,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'stdev\\'\\)",
			        0.001,
			        1,
			        10
			    ],
			    [
			        609,
			        "609_0",
			        "COMPLETED",
			        "BoTorch",
			        "BOTORCH_MODULAR",
			        0.15,
			        207,
			        2409,
			        3131,
			        "str\\(\\'KL\\'\\)",
			        2,
			        "str\\(\\'stdev\\'\\)",
			        0.267687583508693,
			        35,
			        10
			    ],
			    [
			        610,
			        "610_0",
			        "COMPLETED",
			        "BoTorch",
			        "BOTORCH_MODULAR",
			        0.15,
			        240,
			        1,
			        4120,
			        "str\\(\\'KL\\'\\)",
			        2,
			        "str\\(\\'stdev\\'\\)",
			        0.001,
			        1,
			        10
			    ],
			    [
			        611,
			        "611_0",
			        "COMPLETED",
			        "BoTorch",
			        "BOTORCH_MODULAR",
			        0.13,
			        219,
			        568,
			        178,
			        "str\\(\\'KL\\'\\)",
			        3,
			        "str\\(\\'tstat\\'\\)",
			        0.495972337384212,
			        5,
			        10
			    ],
			    [
			        612,
			        "612_0",
			        "COMPLETED",
			        "BoTorch",
			        "BOTORCH_MODULAR",
			        0.15,
			        245,
			        360,
			        1394,
			        "str\\(\\'KL\\'\\)",
			        2,
			        "str\\(\\'tstat\\'\\)",
			        0.001,
			        1,
			        10
			    ],
			    [
			        613,
			        "613_0",
			        "COMPLETED",
			        "BoTorch",
			        "BOTORCH_MODULAR",
			        0.14,
			        219,
			        2073,
			        75,
			        "str\\(\\'H\\'\\)",
			        1,
			        "str\\(\\'stdev\\'\\)",
			        0.5686960982778813,
			        4,
			        10
			    ],
			    [
			        614,
			        "614_0",
			        "COMPLETED",
			        "BoTorch",
			        "BOTORCH_MODULAR",
			        0.13,
			        156,
			        250,
			        494,
			        "str\\(\\'H\\'\\)",
			        3,
			        "str\\(\\'tstat\\'\\)",
			        0.001,
			        30,
			        10
			    ],
			    [
			        615,
			        "615_0",
			        "COMPLETED",
			        "BoTorch",
			        "BOTORCH_MODULAR",
			        0.14,
			        264,
			        5000,
			        1595,
			        "str\\(\\'KL\\'\\)",
			        2,
			        "str\\(\\'tstat\\'\\)",
			        0.001,
			        1,
			        10
			    ],
			    [
			        616,
			        "616_0",
			        "COMPLETED",
			        "BoTorch",
			        "BOTORCH_MODULAR",
			        0.14,
			        220,
			        1118,
			        236,
			        "str\\(\\'H\\'\\)",
			        2,
			        "str\\(\\'stdev\\'\\)",
			        0.001,
			        31,
			        10
			    ],
			    [
			        617,
			        "617_0",
			        "COMPLETED",
			        "BoTorch",
			        "BOTORCH_MODULAR",
			        0.15,
			        338,
			        1084,
			        4960,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'stdev\\'\\)",
			        0.001,
			        1,
			        10
			    ],
			    [
			        618,
			        "618_0",
			        "COMPLETED",
			        "BoTorch",
			        "BOTORCH_MODULAR",
			        0.14,
			        255,
			        1,
			        3246,
			        "str\\(\\'KL\\'\\)",
			        2,
			        "str\\(\\'stdev\\'\\)",
			        0.001,
			        1,
			        10
			    ],
			    [
			        619,
			        "619_0",
			        "COMPLETED",
			        "BoTorch",
			        "BOTORCH_MODULAR",
			        0.15,
			        255,
			        5000,
			        569,
			        "str\\(\\'H\\'\\)",
			        2,
			        "str\\(\\'tstat\\'\\)",
			        0.999,
			        1,
			        10
			    ],
			    [
			        620,
			        "620_0",
			        "COMPLETED",
			        "BoTorch",
			        "BOTORCH_MODULAR",
			        0.15,
			        269,
			        1,
			        3801,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'stdev\\'\\)",
			        0.999,
			        1,
			        10
			    ],
			    [
			        621,
			        "621_0",
			        "RUNNING",
			        "BoTorch",
			        "BOTORCH_MODULAR",
			        "",
			        "",
			        918,
			        1130,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'tstat\\'\\)",
			        0.001,
			        1,
			        10
			    ]
			];
			var tab_job_infos_headers_json = [
			    "start_time",
			    "end_time",
			    "run_time",
			    "program_string",
			    "recent_samples_size",
			    "batch_size",
			    "divergence",
			    "detect_batch",
			    "statistic",
			    "significance",
			    "subsets",
			    "feature_id",
			    "ACCURACY",
			    "RUNTIME",
			    "exit_code",
			    "signal",
			    "hostname",
			    "OO_Info_runtime",
			    "OO_Info_peak_memory",
			    "OO_Info_mean_memory",
			    "OO_Info_lpd",
			    "OO_Info_portion_req_label",
			    "OO_Info_SLURM_JOB_ID"
			];
			var tab_job_infos_csv_json = [
			    [
			        1744999019,
			        1744999236,
			        217,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4315 feature_id 10 batch_size 3427 divergence str\\(\\'KL\\'\\) detect_batch 2 statistic str\\(\\'stdev\\'\\) significance 0.8993488682508468 subsets 80",
			        4315,
			        3427,
			        "str\\(\\'KL\\'\\)",
			        2,
			        "str\\(\\'stdev\\'\\)",
			        0.8993488682508468,
			        80,
			        10,
			        0.14,
			        201,
			        0,
			        "None",
			        "i7172",
			        201,
			        688.09765625,
			        687.7160326086956,
			        -1,
			        0.08540809968847352,
			        4548081
			    ],
			    [
			        1744999059,
			        1744999260,
			        201,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 977 feature_id 10 batch_size 1758 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.3386088585443795 subsets 5",
			        977,
			        1758,
			        "str\\(\\'H\\'\\)",
			        3,
			        "str\\(\\'tstat\\'\\)",
			        0.3386088585443795,
			        5,
			        10,
			        0.13,
			        183,
			        0,
			        "None",
			        "i7171",
			        183,
			        688.41015625,
			        688.3709077380952,
			        -1,
			        0.15334579439252335,
			        4548110
			    ],
			    [
			        1744999091,
			        1744999315,
			        224,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1612 feature_id 10 batch_size 4763 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.21763544012978672 subsets 54",
			        1612,
			        4763,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'tstat\\'\\)",
			        0.21763544012978672,
			        54,
			        10,
			        0.13,
			        209,
			        0,
			        "None",
			        "i7170",
			        209,
			        688.2578125,
			        688.215183423913,
			        -1,
			        0.17805607476635513,
			        4548144
			    ],
			    [
			        1744999140,
			        1744999388,
			        248,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3739 feature_id 10 batch_size 103 divergence str\\(\\'H\\'\\) detect_batch 2 statistic str\\(\\'stdev\\'\\) significance 0.5291190900970251 subsets 31",
			        3739,
			        103,
			        "str\\(\\'H\\'\\)",
			        2,
			        "str\\(\\'stdev\\'\\)",
			        0.5291190900970251,
			        31,
			        10,
			        0.14,
			        234,
			        0,
			        "None",
			        "i7172",
			        234,
			        688.15625,
			        688.1225961538462,
			        -1,
			        0.22793769470404984,
			        4548181
			    ],
			    [
			        1744999179,
			        1744999399,
			        220,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2915 feature_id 10 batch_size 3880 divergence str\\(\\'H\\'\\) detect_batch 2 statistic str\\(\\'stdev\\'\\) significance 0.7815221392158419 subsets 70",
			        2915,
			        3880,
			        "str\\(\\'H\\'\\)",
			        2,
			        "str\\(\\'stdev\\'\\)",
			        0.7815221392158419,
			        70,
			        10,
			        0.13,
			        205,
			        0,
			        "None",
			        "i7169",
			        205,
			        688.109375,
			        688.0648777173913,
			        -1,
			        0.1450467289719626,
			        4548219
			    ],
			    [
			        1744999284,
			        1744999484,
			        200,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 541 feature_id 10 batch_size 3011 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.10173864633962512 subsets 97",
			        541,
			        3011,
			        "str\\(\\'H\\'\\)",
			        3,
			        "str\\(\\'tstat\\'\\)",
			        0.10173864633962512,
			        97,
			        10,
			        0.14,
			        182,
			        0,
			        "None",
			        "i7168",
			        182,
			        687.52734375,
			        687.0517113095239,
			        -1,
			        0.2251214953271028,
			        4548320
			    ],
			    [
			        1744999300,
			        1744999496,
			        196,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3232 feature_id 10 batch_size 2601 divergence str\\(\\'KL\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.7167985873017461 subsets 87",
			        3232,
			        2601,
			        "str\\(\\'KL\\'\\)",
			        3,
			        "str\\(\\'tstat\\'\\)",
			        0.7167985873017461,
			        87,
			        10,
			        0.13,
			        146,
			        0,
			        "None",
			        "i7165",
			        146,
			        688.734375,
			        685.2217371323529,
			        -1,
			        0.2268785046728972,
			        4548640
			    ],
			    [
			        1744999240,
			        1744999502,
			        262,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2347 feature_id 10 batch_size 939 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.47221206475421784 subsets 46",
			        2347,
			        939,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'tstat\\'\\)",
			        0.47221206475421784,
			        46,
			        10,
			        0.14,
			        249,
			        0,
			        "None",
			        "i7172",
			        249,
			        689.0078125,
			        688.9823495370371,
			        -1,
			        0.38462305295950155,
			        4548263
			    ],
			    [
			        1744999289,
			        1744999508,
			        219,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4624 feature_id 10 batch_size 4626 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.6007878342885524 subsets 65",
			        4624,
			        4626,
			        "str\\(\\'H\\'\\)",
			        1,
			        "str\\(\\'tstat\\'\\)",
			        0.6007878342885524,
			        65,
			        10,
			        0.13,
			        188,
			        0,
			        "None",
			        "i7167",
			        188,
			        688.953125,
			        688.913318452381,
			        -1,
			        0.17293457943925233,
			        4548409
			    ],
			    [
			        1744999285,
			        1744999513,
			        228,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4819 feature_id 10 batch_size 2124 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.6607923731449992 subsets 19",
			        4819,
			        2124,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'stdev\\'\\)",
			        0.6607923731449992,
			        19,
			        10,
			        0.13,
			        198,
			        0,
			        "None",
			        "i7167",
			        198,
			        688.53515625,
			        688.5133167613636,
			        -1,
			        0.18527102803738318,
			        4548364
			    ],
			    [
			        1744999298,
			        1744999552,
			        254,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2797 feature_id 10 batch_size 1387 divergence str\\(\\'KL\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.9710175408739596 subsets 14",
			        2797,
			        1387,
			        "str\\(\\'KL\\'\\)",
			        3,
			        "str\\(\\'tstat\\'\\)",
			        0.9710175408739596,
			        14,
			        10,
			        0.14,
			        181,
			        0,
			        "None",
			        "i7165",
			        181,
			        688.859375,
			        684.2371651785714,
			        -1,
			        0.2689096573208723,
			        4548582
			    ],
			    [
			        1744999304,
			        1744999552,
			        248,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1917 feature_id 10 batch_size 3446 divergence str\\(\\'H\\'\\) detect_batch 2 statistic str\\(\\'stdev\\'\\) significance 0.28259382567182184 subsets 91",
			        1917,
			        3446,
			        "str\\(\\'H\\'\\)",
			        2,
			        "str\\(\\'stdev\\'\\)",
			        0.28259382567182184,
			        91,
			        10,
			        0.14,
			        190,
			        0,
			        "None",
			        "i7166",
			        190,
			        685.5234375,
			        684.4099786931819,
			        -1,
			        0.0858816199376947,
			        4548526
			    ],
			    [
			        1744999304,
			        1744999571,
			        267,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 32 feature_id 10 batch_size 514 divergence str\\(\\'KL\\'\\) detect_batch 2 statistic str\\(\\'stdev\\'\\) significance 0.1616204667426646 subsets 40",
			        32,
			        514,
			        "str\\(\\'KL\\'\\)",
			        2,
			        "str\\(\\'stdev\\'\\)",
			        0.1616204667426646,
			        40,
			        10,
			        0.14,
			        209,
			        0,
			        "None",
			        "i7166",
			        209,
			        688.09765625,
			        686.7235054347826,
			        -1,
			        0.2690093457943925,
			        4548468
			    ],
			    [
			        1744999342,
			        1744999584,
			        242,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1416 feature_id 10 batch_size 2261 divergence str\\(\\'H\\'\\) detect_batch 2 statistic str\\(\\'stdev\\'\\) significance 0.03007687681540847 subsets 11",
			        1416,
			        2261,
			        "str\\(\\'H\\'\\)",
			        2,
			        "str\\(\\'stdev\\'\\)",
			        0.03007687681540847,
			        11,
			        10,
			        0.13,
			        230,
			        0,
			        "None",
			        "i7173",
			        230,
			        688.80078125,
			        688.76234375,
			        -1,
			        0.28174454828660433,
			        4548695
			    ],
			    [
			        1744999400,
			        1744999596,
			        196,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 860 feature_id 10 batch_size 4250 divergence str\\(\\'KL\\'\\) detect_batch 3 statistic str\\(\\'stdev\\'\\) significance 0.4005502357445657 subsets 60",
			        860,
			        4250,
			        "str\\(\\'KL\\'\\)",
			        3,
			        "str\\(\\'stdev\\'\\)",
			        0.4005502357445657,
			        60,
			        10,
			        0.13,
			        181,
			        0,
			        "None",
			        "i7177",
			        181,
			        687.74609375,
			        687.4728422619048,
			        -1,
			        0.0529595015576324,
			        4548748
			    ],
			    [
			        1744999451,
			        1744999713,
			        262,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3885 feature_id 10 batch_size 919 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.8375282938871532 subsets 38",
			        3885,
			        919,
			        "str\\(\\'H\\'\\)",
			        1,
			        "str\\(\\'tstat\\'\\)",
			        0.8375282938871532,
			        38,
			        10,
			        0.14,
			        251,
			        0,
			        "None",
			        "i7173",
			        251,
			        687.6640625,
			        687.6388113839286,
			        -1,
			        0.3873520249221184,
			        4548795
			    ],
			    [
			        1744999521,
			        1744999744,
			        223,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4034 feature_id 10 batch_size 4173 divergence str\\(\\'KL\\'\\) detect_batch 3 statistic str\\(\\'stdev\\'\\) significance 0.048384241776540875 subsets 2",
			        4034,
			        4173,
			        "str\\(\\'KL\\'\\)",
			        3,
			        "str\\(\\'stdev\\'\\)",
			        0.048384241776540875,
			        2,
			        10,
			        0.13,
			        210,
			        0,
			        "None",
			        "i7173",
			        210,
			        687.77734375,
			        687.3961588541666,
			        -1,
			        0.208,
			        4548856
			    ],
			    [
			        1744999582,
			        1744999767,
			        185,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3381 feature_id 10 batch_size 2495 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.42665447570569814 subsets 51",
			        3381,
			        2495,
			        "str\\(\\'H\\'\\)",
			        1,
			        "str\\(\\'stdev\\'\\)",
			        0.42665447570569814,
			        51,
			        10,
			        0.14,
			        169,
			        0,
			        "None",
			        "i7166",
			        169,
			        687.63671875,
			        687.6081414473684,
			        -1,
			        0.3730841121495327,
			        4549005
			    ],
			    [
			        1744999585,
			        1744999820,
			        235,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1252 feature_id 10 batch_size 2679 divergence str\\(\\'KL\\'\\) detect_batch 2 statistic str\\(\\'tstat\\'\\) significance 0.8655762632079422 subsets 28",
			        1252,
			        2679,
			        "str\\(\\'KL\\'\\)",
			        2,
			        "str\\(\\'tstat\\'\\)",
			        0.8655762632079422,
			        28,
			        10,
			        0.13,
			        212,
			        0,
			        "None",
			        "i7168",
			        212,
			        688.80078125,
			        688.73583984375,
			        -1,
			        0.26706542056074767,
			        4548952
			    ],
			    [
			        1744999580,
			        1744999963,
			        383,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 696 feature_id 10 batch_size 685 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.737049681622535 subsets 77",
			        696,
			        685,
			        "str\\(\\'H\\'\\)",
			        1,
			        "str\\(\\'tstat\\'\\)",
			        0.737049681622535,
			        77,
			        10,
			        0.16,
			        370,
			        0,
			        "None",
			        "i7177",
			        370,
			        688.07421875,
			        688.04580078125,
			        -1,
			        0.3841121495327103,
			        4548906
			    ],
			    [
			        1745000289,
			        1745000690,
			        401,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2910 feature_id 10 batch_size 563 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.43522176374064325 subsets 77",
			        2910,
			        563,
			        "str\\(\\'H\\'\\)",
			        1,
			        "str\\(\\'tstat\\'\\)",
			        0.43522176374064325,
			        77,
			        10,
			        0.14,
			        385,
			        0,
			        "None",
			        "i7185",
			        385,
			        640.00390625,
			        576.5846036585366,
			        -1,
			        0.3718255451713396,
			        4549741
			    ],
			    [
			        1745000481,
			        1745000733,
			        252,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4406 feature_id 10 batch_size 452 divergence str\\(\\'KL\\'\\) detect_batch 2 statistic str\\(\\'stdev\\'\\) significance 0.001 subsets 16",
			        4406,
			        452,
			        "str\\(\\'KL\\'\\)",
			        2,
			        "str\\(\\'stdev\\'\\)",
			        0.001,
			        16,
			        10,
			        0.14,
			        237,
			        0,
			        "None",
			        "i7180",
			        237,
			        688.6484375,
			        688.5703125,
			        -1,
			        0.2590903426791277,
			        4549907
			    ],
			    [
			        1745000721,
			        1745000905,
			        184,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4458 feature_id 10 batch_size 968 divergence str\\(\\'KL\\'\\) detect_batch 2 statistic str\\(\\'stdev\\'\\) significance 0.001 subsets 10",
			        4458,
			        968,
			        "str\\(\\'KL\\'\\)",
			        2,
			        "str\\(\\'stdev\\'\\)",
			        0.001,
			        10,
			        10,
			        0.14,
			        171,
			        0,
			        "None",
			        "i7170",
			        171,
			        688.89453125,
			        688.8478515625,
			        -1,
			        0.28949532710280373,
			        4550126
			    ],
			    [
			        1745000941,
			        1745001204,
			        263,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4508 feature_id 10 batch_size 3891 divergence str\\(\\'KL\\'\\) detect_batch 2 statistic str\\(\\'stdev\\'\\) significance 0.001 subsets 3",
			        4508,
			        3891,
			        "str\\(\\'KL\\'\\)",
			        2,
			        "str\\(\\'stdev\\'\\)",
			        0.001,
			        3,
			        10,
			        0.14,
			        247,
			        0,
			        "None",
			        "i7172",
			        247,
			        688.08984375,
			        688.0528067129629,
			        -1,
			        0.41146417445482864,
			        4550408
			    ],
			    [
			        1745001344,
			        1745001540,
			        196,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4674 feature_id 10 batch_size 2752 divergence str\\(\\'KL\\'\\) detect_batch 2 statistic str\\(\\'stdev\\'\\) significance 0.999 subsets 25",
			        4674,
			        2752,
			        "str\\(\\'KL\\'\\)",
			        2,
			        "str\\(\\'stdev\\'\\)",
			        0.999,
			        25,
			        10,
			        0.13,
			        184,
			        0,
			        "None",
			        "i7173",
			        184,
			        689.19921875,
			        688.8214285714286,
			        -1,
			        0.03429283489096573,
			        4550934
			    ],
			    [
			        1745001687,
			        1745001897,
			        210,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1842 feature_id 10 batch_size 1428 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 24",
			        1842,
			        1428,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'tstat\\'\\)",
			        0.999,
			        24,
			        10,
			        0.14,
			        171,
			        0,
			        "None",
			        "i7165",
			        171,
			        687.40625,
			        686.7615234375,
			        -1,
			        0.33809345794392526,
			        4551536
			    ],
			    [
			        1745002213,
			        1745002554,
			        341,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2050 feature_id 10 batch_size 2972 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.7821804922521923 subsets 1",
			        2050,
			        2972,
			        "str\\(\\'H\\'\\)",
			        1,
			        "str\\(\\'stdev\\'\\)",
			        0.7821804922521923,
			        1,
			        10,
			        0.15,
			        327,
			        0,
			        "None",
			        "i7168",
			        327,
			        688.46484375,
			        688.45390625,
			        -1,
			        0.9750155763239875,
			        4552091
			    ],
			    [
			        1745002633,
			        1745003002,
			        369,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 555 feature_id 10 batch_size 2816 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.999 subsets 1",
			        555,
			        2816,
			        "str\\(\\'H\\'\\)",
			        1,
			        "str\\(\\'stdev\\'\\)",
			        0.999,
			        1,
			        10,
			        0.15,
			        353,
			        0,
			        "None",
			        "i7180",
			        353,
			        689.17578125,
			        689.1656044407895,
			        -1,
			        0.9576199376947041,
			        4552373
			    ],
			    [
			        1745003112,
			        1745003459,
			        347,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4455 feature_id 10 batch_size 3270 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.4951628820460788 subsets 1",
			        4455,
			        3270,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'tstat\\'\\)",
			        0.4951628820460788,
			        1,
			        10,
			        0.15,
			        332,
			        0,
			        "None",
			        "i7173",
			        332,
			        688.72265625,
			        688.7074652777778,
			        -1,
			        0.9530342679127726,
			        4552704
			    ],
			    [
			        1745003592,
			        1745003887,
			        295,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3143 feature_id 10 batch_size 330 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.45254219201783086 subsets 1",
			        3143,
			        330,
			        "str\\(\\'H\\'\\)",
			        1,
			        "str\\(\\'stdev\\'\\)",
			        0.45254219201783086,
			        1,
			        10,
			        0.15,
			        284,
			        0,
			        "None",
			        "i7170",
			        284,
			        688.58984375,
			        688.5763608870968,
			        -1,
			        0.9743426791277259,
			        4553157
			    ],
			    [
			        1745004041,
			        1745004371,
			        330,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 922 feature_id 10 batch_size 2719 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.42575573154881274 subsets 1",
			        922,
			        2719,
			        "str\\(\\'H\\'\\)",
			        1,
			        "str\\(\\'tstat\\'\\)",
			        0.42575573154881274,
			        1,
			        10,
			        0.15,
			        318,
			        0,
			        "None",
			        "i7169",
			        318,
			        689.046875,
			        689.0330882352941,
			        -1,
			        0.9576573208722742,
			        4553528
			    ],
			    [
			        1745004523,
			        1745004874,
			        351,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2413 feature_id 10 batch_size 3290 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.001 subsets 1",
			        2413,
			        3290,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'tstat\\'\\)",
			        0.001,
			        1,
			        10,
			        0.15,
			        337,
			        0,
			        "None",
			        "i7169",
			        337,
			        687.640625,
			        687.6259765625,
			        -1,
			        0.9590155763239875,
			        4554039
			    ],
			    [
			        1745004983,
			        1745005315,
			        332,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 727 feature_id 10 batch_size 3112 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.9052331495348503 subsets 1",
			        727,
			        3112,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'tstat\\'\\)",
			        0.9052331495348503,
			        1,
			        10,
			        0.15,
			        317,
			        0,
			        "None",
			        "i7167",
			        317,
			        688.25390625,
			        688.2388556985294,
			        -1,
			        0.9445607476635514,
			        4554540
			    ],
			    [
			        1745005568,
			        1745005923,
			        355,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 933 feature_id 10 batch_size 3568 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.5990098977293434 subsets 1",
			        933,
			        3568,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'stdev\\'\\)",
			        0.5990098977293434,
			        1,
			        10,
			        0.15,
			        340,
			        0,
			        "None",
			        "i7173",
			        340,
			        687.8359375,
			        687.72265625,
			        -1,
			        0.9532336448598131,
			        4555041
			    ],
			    [
			        1745005273,
			        1745006098,
			        825,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 122 feature_id 10 batch_size 147 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 77",
			        122,
			        147,
			        "str\\(\\'H\\'\\)",
			        1,
			        "str\\(\\'tstat\\'\\)",
			        0.999,
			        77,
			        10,
			        0.15,
			        814,
			        0,
			        "None",
			        "i7170",
			        814,
			        688.1484375,
			        688.1409040178571,
			        -1,
			        0.34620560747663554,
			        4554803
			    ],
			    [
			        1745005886,
			        1745006202,
			        316,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 438 feature_id 10 batch_size 2896 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.001 subsets 1",
			        438,
			        2896,
			        "str\\(\\'H\\'\\)",
			        1,
			        "str\\(\\'tstat\\'\\)",
			        0.001,
			        1,
			        10,
			        0.15,
			        293,
			        0,
			        "None",
			        "i7166",
			        293,
			        687.70703125,
			        686.15966796875,
			        -1,
			        0.9494454828660436,
			        4555346
			    ],
			    [
			        1745006143,
			        1745006512,
			        369,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3320 feature_id 10 batch_size 1868 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 1",
			        3320,
			        1868,
			        "str\\(\\'H\\'\\)",
			        1,
			        "str\\(\\'tstat\\'\\)",
			        0.999,
			        1,
			        10,
			        0.15,
			        352,
			        0,
			        "None",
			        "i7180",
			        352,
			        687.36328125,
			        687.3489925986842,
			        -1,
			        0.9527352024922119,
			        4555575
			    ],
			    [
			        1745006563,
			        1745006879,
			        316,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2131 feature_id 10 batch_size 4816 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.12439047289995953 subsets 1",
			        2131,
			        4816,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'stdev\\'\\)",
			        0.12439047289995953,
			        1,
			        10,
			        0.15,
			        304,
			        0,
			        "None",
			        "i7169",
			        304,
			        687.921875,
			        687.8654119318181,
			        -1,
			        0.9352897196261682,
			        4555910
			    ],
			    [
			        1745006984,
			        1745007346,
			        362,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4722 feature_id 10 batch_size 681 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 75",
			        4722,
			        681,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'tstat\\'\\)",
			        0.999,
			        75,
			        10,
			        0.15,
			        350,
			        0,
			        "None",
			        "i7168",
			        350,
			        689.59375,
			        689.5719572368421,
			        -1,
			        0.43278504672897194,
			        4556295
			    ],
			    [
			        1745007344,
			        1745007692,
			        348,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3671 feature_id 10 batch_size 3499 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.001 subsets 1",
			        3671,
			        3499,
			        "str\\(\\'H\\'\\)",
			        1,
			        "str\\(\\'stdev\\'\\)",
			        0.001,
			        1,
			        10,
			        0.15,
			        334,
			        0,
			        "None",
			        "i7180",
			        334,
			        687.61328125,
			        687.6044921875,
			        -1,
			        0.9343177570093458,
			        4556609
			    ],
			    [
			        1745008037,
			        1745008391,
			        354,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2844 feature_id 10 batch_size 3119 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.9894852890923383 subsets 1",
			        2844,
			        3119,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'stdev\\'\\)",
			        0.9894852890923383,
			        1,
			        10,
			        0.15,
			        342,
			        0,
			        "None",
			        "i7173",
			        342,
			        688.0703125,
			        688.0570101351351,
			        -1,
			        0.9467414330218068,
			        4557298
			    ],
			    [
			        1745008304,
			        1745008651,
			        347,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4280 feature_id 10 batch_size 3899 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.27179690297723297 subsets 1",
			        4280,
			        3899,
			        "str\\(\\'H\\'\\)",
			        1,
			        "str\\(\\'stdev\\'\\)",
			        0.27179690297723297,
			        1,
			        10,
			        0.15,
			        329,
			        0,
			        "None",
			        "i7168",
			        329,
			        688.7890625,
			        688.7799107142857,
			        -1,
			        0.946803738317757,
			        4557582
			    ],
			    [
			        1745008643,
			        1745008987,
			        344,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 453 feature_id 10 batch_size 2345 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 1",
			        453,
			        2345,
			        "str\\(\\'H\\'\\)",
			        1,
			        "str\\(\\'tstat\\'\\)",
			        0.999,
			        1,
			        10,
			        0.15,
			        326,
			        0,
			        "None",
			        "i7169",
			        326,
			        688.21875,
			        688.2021205357142,
			        -1,
			        0.9686105919003115,
			        4557884
			    ],
			    [
			        1745009024,
			        1745009363,
			        339,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3746 feature_id 10 batch_size 1974 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.7229108330157689 subsets 1",
			        3746,
			        1974,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'tstat\\'\\)",
			        0.7229108330157689,
			        1,
			        10,
			        0.15,
			        325,
			        0,
			        "None",
			        "i7170",
			        325,
			        688.5,
			        688.4860491071429,
			        -1,
			        0.9590155763239875,
			        4558213
			    ],
			    [
			        1745009745,
			        1745010107,
			        362,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2562 feature_id 10 batch_size 1379 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.3249495505884905 subsets 1",
			        2562,
			        1379,
			        "str\\(\\'H\\'\\)",
			        1,
			        "str\\(\\'tstat\\'\\)",
			        0.3249495505884905,
			        1,
			        10,
			        0.15,
			        349,
			        0,
			        "None",
			        "i7180",
			        349,
			        689.08203125,
			        687.5718961148649,
			        -1,
			        0.9717507788161994,
			        4558810
			    ],
			    [
			        1745009404,
			        1745010316,
			        912,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4439 feature_id 10 batch_size 65 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.999 subsets 76",
			        4439,
			        65,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'stdev\\'\\)",
			        0.999,
			        76,
			        10,
			        0.14,
			        897,
			        0,
			        "None",
			        "i7169",
			        897,
			        687.79296875,
			        687.7853685461956,
			        -1,
			        0.20654205607476636,
			        4558526
			    ],
			    [
			        1745009984,
			        1745010338,
			        354,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4056 feature_id 10 batch_size 2680 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 1",
			        4056,
			        2680,
			        "str\\(\\'H\\'\\)",
			        1,
			        "str\\(\\'tstat\\'\\)",
			        0.999,
			        1,
			        10,
			        0.15,
			        340,
			        0,
			        "None",
			        "i7173",
			        340,
			        687.53125,
			        687.5188802083334,
			        -1,
			        0.9435638629283489,
			        4559010
			    ],
			    [
			        1745010345,
			        1745010653,
			        308,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 52 feature_id 10 batch_size 361 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.999 subsets 76",
			        52,
			        361,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'stdev\\'\\)",
			        0.999,
			        76,
			        10,
			        0.14,
			        294,
			        0,
			        "None",
			        "i7168",
			        294,
			        687.8515625,
			        687.8289794921875,
			        -1,
			        0.1934330218068536,
			        4559301
			    ],
			    [
			        1745010585,
			        1745010833,
			        248,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3417 feature_id 10 batch_size 107 divergence str\\(\\'KL\\'\\) detect_batch 3 statistic str\\(\\'stdev\\'\\) significance 0.001 subsets 15",
			        3417,
			        107,
			        "str\\(\\'KL\\'\\)",
			        3,
			        "str\\(\\'stdev\\'\\)",
			        0.001,
			        15,
			        10,
			        0.14,
			        233,
			        0,
			        "None",
			        "i7170",
			        233,
			        688.52734375,
			        688.5042067307693,
			        -1,
			        0.2786666666666667,
			        4559514
			    ],
			    [
			        1745010926,
			        1745011259,
			        333,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 10 batch_size 1588 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.999 subsets 1",
			        5000,
			        1588,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'stdev\\'\\)",
			        0.999,
			        1,
			        10,
			        0.15,
			        317,
			        0,
			        "None",
			        "i7168",
			        317,
			        689.43359375,
			        689.4163602941177,
			        -1,
			        0.9644984423676013,
			        4559830
			    ],
			    [
			        1745011155,
			        1745011499,
			        344,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 557 feature_id 10 batch_size 1274 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 79",
			        557,
			        1274,
			        "str\\(\\'H\\'\\)",
			        1,
			        "str\\(\\'tstat\\'\\)",
			        0.999,
			        79,
			        10,
			        0.14,
			        332,
			        0,
			        "None",
			        "i7169",
			        332,
			        689.453125,
			        689.4322916666666,
			        -1,
			        0.39688473520249223,
			        4560058
			    ],
			    [
			        1745011345,
			        1745011608,
			        263,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 10 batch_size 385 divergence str\\(\\'H\\'\\) detect_batch 2 statistic str\\(\\'stdev\\'\\) significance 0.999 subsets 1",
			        5000,
			        385,
			        "str\\(\\'H\\'\\)",
			        2,
			        "str\\(\\'stdev\\'\\)",
			        0.999,
			        1,
			        10,
			        0.14,
			        248,
			        0,
			        "None",
			        "i7168",
			        248,
			        689.26953125,
			        689.2447916666666,
			        -1,
			        0.4845482866043614,
			        4560254
			    ],
			    [
			        1745012144,
			        1745012164,
			        20,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3239 feature_id 10 batch_size 1 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 78",
			        3239,
			        1,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'tstat\\'\\)",
			        0.999,
			        78,
			        10,
			        "None",
			        "None",
			        1,
			        "None",
			        "i7185",
			        "",
			        "",
			        "",
			        "",
			        "",
			        4560953
			    ],
			    [
			        1745011725,
			        1745012199,
			        474,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1665 feature_id 10 batch_size 405 divergence str\\(\\'H\\'\\) detect_batch 2 statistic str\\(\\'stdev\\'\\) significance 0.999 subsets 96",
			        1665,
			        405,
			        "str\\(\\'H\\'\\)",
			        2,
			        "str\\(\\'stdev\\'\\)",
			        0.999,
			        96,
			        10,
			        0.13,
			        459,
			        0,
			        "None",
			        "i7168",
			        459,
			        688.55078125,
			        688.5231119791666,
			        -1,
			        0.1867289719626168,
			        4560600
			    ],
			    [
			        1745012449,
			        1745012469,
			        20,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4519 feature_id 10 batch_size 1 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 85",
			        4519,
			        1,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'tstat\\'\\)",
			        0.999,
			        85,
			        10,
			        "None",
			        "None",
			        1,
			        "None",
			        "i7173",
			        "",
			        "",
			        "",
			        "",
			        "",
			        4561224
			    ],
			    [
			        1745012826,
			        1745013061,
			        235,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1567 feature_id 10 batch_size 192 divergence str\\(\\'H\\'\\) detect_batch 2 statistic str\\(\\'stdev\\'\\) significance 0.464108679809302 subsets 28",
			        1567,
			        192,
			        "str\\(\\'H\\'\\)",
			        2,
			        "str\\(\\'stdev\\'\\)",
			        0.464108679809302,
			        28,
			        10,
			        0.14,
			        219,
			        0,
			        "None",
			        "i7170",
			        219,
			        688.78515625,
			        688.7522786458334,
			        -1,
			        0.22728971962616823,
			        4561526
			    ],
			    [
			        1745013196,
			        1745013451,
			        255,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1962 feature_id 10 batch_size 298 divergence str\\(\\'H\\'\\) detect_batch 2 statistic str\\(\\'stdev\\'\\) significance 0.8901269017481991 subsets 49",
			        1962,
			        298,
			        "str\\(\\'H\\'\\)",
			        2,
			        "str\\(\\'stdev\\'\\)",
			        0.8901269017481991,
			        49,
			        10,
			        0.15,
			        237,
			        0,
			        "None",
			        "i7170",
			        237,
			        688.53125,
			        688.4908353365385,
			        -1,
			        0.21537694704049845,
			        4561831
			    ],
			    [
			        1745013544,
			        1745013835,
			        291,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 566 feature_id 10 batch_size 110 divergence str\\(\\'H\\'\\) detect_batch 2 statistic str\\(\\'tstat\\'\\) significance 0.7556300997770735 subsets 46",
			        566,
			        110,
			        "str\\(\\'H\\'\\)",
			        2,
			        "str\\(\\'tstat\\'\\)",
			        0.7556300997770735,
			        46,
			        10,
			        0.14,
			        274,
			        0,
			        "None",
			        "i7169",
			        274,
			        688.69921875,
			        688.6584635416667,
			        -1,
			        0.24809968847352024,
			        4562111
			    ],
			    [
			        1745013916,
			        1745014116,
			        200,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4342 feature_id 10 batch_size 296 divergence str\\(\\'KL\\'\\) detect_batch 2 statistic str\\(\\'stdev\\'\\) significance 0.999 subsets 33",
			        4342,
			        296,
			        "str\\(\\'KL\\'\\)",
			        2,
			        "str\\(\\'stdev\\'\\)",
			        0.999,
			        33,
			        10,
			        0.14,
			        186,
			        0,
			        "None",
			        "i7168",
			        186,
			        687.86328125,
			        687.8225446428571,
			        -1,
			        0.21393146417445483,
			        4562427
			    ],
			    [
			        1745014307,
			        1745014644,
			        337,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2320 feature_id 10 batch_size 895 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.5559923732171743 subsets 1",
			        2320,
			        895,
			        "str\\(\\'H\\'\\)",
			        1,
			        "str\\(\\'stdev\\'\\)",
			        0.5559923732171743,
			        1,
			        10,
			        0.15,
			        323,
			        0,
			        "None",
			        "i7169",
			        323,
			        688.734375,
			        688.6880580357143,
			        -1,
			        0.9676760124610592,
			        4562752
			    ],
			    [
			        1745015086,
			        1745015553,
			        467,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4464 feature_id 10 batch_size 682 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 84",
			        4464,
			        682,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'tstat\\'\\)",
			        0.999,
			        84,
			        10,
			        0.16,
			        454,
			        0,
			        "None",
			        "i7169",
			        454,
			        687.57421875,
			        687.5587565104166,
			        -1,
			        0.42492211838006233,
			        4563412
			    ],
			    [
			        1745015477,
			        1745015714,
			        237,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4490 feature_id 10 batch_size 522 divergence str\\(\\'H\\'\\) detect_batch 2 statistic str\\(\\'stdev\\'\\) significance 0.999 subsets 29",
			        4490,
			        522,
			        "str\\(\\'H\\'\\)",
			        2,
			        "str\\(\\'stdev\\'\\)",
			        0.999,
			        29,
			        10,
			        0.14,
			        222,
			        0,
			        "None",
			        "i7173",
			        222,
			        687.8046875,
			        687.76375,
			        -1,
			        0.18213084112149533,
			        4563744
			    ],
			    [
			        1745015866,
			        1745016246,
			        380,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 201 feature_id 10 batch_size 2029 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.5362977459626854 subsets 1",
			        201,
			        2029,
			        "str\\(\\'H\\'\\)",
			        1,
			        "str\\(\\'stdev\\'\\)",
			        0.5362977459626854,
			        1,
			        10,
			        0.15,
			        364,
			        0,
			        "None",
			        "i7170",
			        364,
			        688.56640625,
			        688.5561899038462,
			        -1,
			        0.9611464174454829,
			        4564068
			    ],
			    [
			        1745016167,
			        1745016541,
			        374,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 10 batch_size 540 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.001 subsets 1",
			        5000,
			        540,
			        "str\\(\\'H\\'\\)",
			        1,
			        "str\\(\\'tstat\\'\\)",
			        0.001,
			        1,
			        10,
			        0.15,
			        361,
			        0,
			        "None",
			        "i7170",
			        361,
			        689.4453125,
			        689.4314903846154,
			        -1,
			        0.9709781931464174,
			        4564301
			    ],
			    [
			        1745016487,
			        1745016768,
			        281,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1946 feature_id 10 batch_size 1482 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 82",
			        1946,
			        1482,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'tstat\\'\\)",
			        0.999,
			        82,
			        10,
			        0.14,
			        256,
			        0,
			        "None",
			        "i7185",
			        256,
			        601.78125,
			        572.9091796875,
			        -1,
			        0.2400747663551402,
			        4564539
			    ],
			    [
			        1745016857,
			        1745017197,
			        340,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 10 batch_size 2644 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.001 subsets 1",
			        5000,
			        2644,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'stdev\\'\\)",
			        0.001,
			        1,
			        10,
			        0.15,
			        325,
			        0,
			        "None",
			        "i7173",
			        325,
			        687.7734375,
			        687.7561383928571,
			        -1,
			        0.9635015576323988,
			        4564823
			    ],
			    [
			        1745017147,
			        1745017515,
			        368,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 10 batch_size 4115 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.999 subsets 1",
			        1,
			        4115,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'stdev\\'\\)",
			        0.999,
			        1,
			        10,
			        0.15,
			        354,
			        0,
			        "None",
			        "i7173",
			        354,
			        687.7109375,
			        687.700041118421,
			        -1,
			        0.9493582554517134,
			        4565045
			    ],
			    [
			        1745017448,
			        1745017723,
			        275,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2577 feature_id 10 batch_size 4878 divergence str\\(\\'KL\\'\\) detect_batch 2 statistic str\\(\\'stdev\\'\\) significance 0.999 subsets 1",
			        2577,
			        4878,
			        "str\\(\\'KL\\'\\)",
			        2,
			        "str\\(\\'stdev\\'\\)",
			        0.999,
			        1,
			        10,
			        0.14,
			        258,
			        0,
			        "None",
			        "i7185",
			        258,
			        682.921875,
			        615.0694754464286,
			        -1,
			        0.46137071651090344,
			        4565285
			    ],
			    [
			        1745017768,
			        1745018101,
			        333,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 10 batch_size 3705 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.999 subsets 1",
			        5000,
			        3705,
			        "str\\(\\'H\\'\\)",
			        1,
			        "str\\(\\'stdev\\'\\)",
			        0.999,
			        1,
			        10,
			        0.15,
			        320,
			        0,
			        "None",
			        "i7173",
			        320,
			        688.7421875,
			        688.7273667279412,
			        -1,
			        0.9446230529595016,
			        4565551
			    ],
			    [
			        1745018027,
			        1745018263,
			        236,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 10 batch_size 324 divergence str\\(\\'KL\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 1",
			        5000,
			        324,
			        "str\\(\\'KL\\'\\)",
			        3,
			        "str\\(\\'tstat\\'\\)",
			        0.999,
			        1,
			        10,
			        0.14,
			        219,
			        0,
			        "None",
			        "i7170",
			        219,
			        687.80859375,
			        687.78173828125,
			        -1,
			        0.28261682242990654,
			        4565780
			    ],
			    [
			        1745018467,
			        1745018819,
			        352,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 10 batch_size 4644 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.999 subsets 1",
			        5000,
			        4644,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'stdev\\'\\)",
			        0.999,
			        1,
			        10,
			        0.15,
			        336,
			        0,
			        "None",
			        "i7168",
			        336,
			        689.40234375,
			        689.3727213541666,
			        -1,
			        0.9588660436137072,
			        4566161
			    ],
			    [
			        1745018807,
			        1745019146,
			        339,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 10 batch_size 1461 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.001 subsets 1",
			        5000,
			        1461,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'stdev\\'\\)",
			        0.001,
			        1,
			        10,
			        0.15,
			        322,
			        0,
			        "None",
			        "i7170",
			        322,
			        687.75390625,
			        687.7411830357142,
			        -1,
			        0.9581931464174455,
			        4566439
			    ],
			    [
			        1745019128,
			        1745019461,
			        333,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 10 batch_size 2201 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.001 subsets 1",
			        5000,
			        2201,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'stdev\\'\\)",
			        0.001,
			        1,
			        10,
			        0.15,
			        321,
			        0,
			        "None",
			        "i7170",
			        321,
			        687.984375,
			        687.9739955357143,
			        -1,
			        0.9624548286604362,
			        4566684
			    ],
			    [
			        1745019529,
			        1745019897,
			        368,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4288 feature_id 10 batch_size 1112 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 1",
			        4288,
			        1112,
			        "str\\(\\'H\\'\\)",
			        1,
			        "str\\(\\'tstat\\'\\)",
			        0.999,
			        1,
			        10,
			        0.15,
			        351,
			        0,
			        "None",
			        "i7180",
			        351,
			        688.79296875,
			        688.7774465460526,
			        -1,
			        0.972772585669782,
			        4566975
			    ],
			    [
			        1745020088,
			        1745020275,
			        187,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 10 batch_size 5000 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.001 subsets 100",
			        5000,
			        5000,
			        "str\\(\\'H\\'\\)",
			        3,
			        "str\\(\\'tstat\\'\\)",
			        0.001,
			        100,
			        10,
			        0.12,
			        170,
			        0,
			        "None",
			        "i7169",
			        170,
			        688.52734375,
			        688.1589226973684,
			        -1,
			        0.12461059190031153,
			        4567391
			    ],
			    [
			        1745019857,
			        1745020292,
			        435,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1841 feature_id 10 batch_size 387 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.001 subsets 83",
			        1841,
			        387,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'tstat\\'\\)",
			        0.001,
			        83,
			        10,
			        0.14,
			        419,
			        0,
			        "None",
			        "i7170",
			        419,
			        688.0859375,
			        688.0661399147727,
			        -1,
			        0.255588785046729,
			        4567229
			    ],
			    [
			        1745020397,
			        1745020618,
			        221,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 10 batch_size 589 divergence str\\(\\'KL\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 1",
			        5000,
			        589,
			        "str\\(\\'KL\\'\\)",
			        3,
			        "str\\(\\'tstat\\'\\)",
			        0.999,
			        1,
			        10,
			        0.14,
			        207,
			        0,
			        "None",
			        "i7169",
			        207,
			        688.203125,
			        688.1713654891304,
			        -1,
			        0.26422429906542055,
			        4567626
			    ],
			    [
			        1745020809,
			        1745021067,
			        258,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 10 batch_size 188 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 100",
			        5000,
			        188,
			        "str\\(\\'H\\'\\)",
			        3,
			        "str\\(\\'tstat\\'\\)",
			        0.999,
			        100,
			        10,
			        0.15,
			        240,
			        0,
			        "None",
			        "i7180",
			        240,
			        687.22265625,
			        687.1953125,
			        -1,
			        0.2749532710280374,
			        4567952
			    ],
			    [
			        1745021088,
			        1745021333,
			        245,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1865 feature_id 10 batch_size 737 divergence str\\(\\'H\\'\\) detect_batch 2 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 79",
			        1865,
			        737,
			        "str\\(\\'H\\'\\)",
			        2,
			        "str\\(\\'tstat\\'\\)",
			        0.999,
			        79,
			        10,
			        0.14,
			        231,
			        0,
			        "None",
			        "i7167",
			        231,
			        689.2890625,
			        689.2509014423077,
			        -1,
			        0.2965233644859813,
			        4568208
			    ],
			    [
			        1745021430,
			        1745021621,
			        191,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 10 batch_size 4403 divergence str\\(\\'KL\\'\\) detect_batch 2 statistic str\\(\\'stdev\\'\\) significance 0.999 subsets 1",
			        5000,
			        4403,
			        "str\\(\\'KL\\'\\)",
			        2,
			        "str\\(\\'stdev\\'\\)",
			        0.999,
			        1,
			        10,
			        0.14,
			        174,
			        0,
			        "None",
			        "i7168",
			        174,
			        688.62109375,
			        688.571484375,
			        -1,
			        0.4688847352024922,
			        4568479
			    ],
			    [
			        1745022269,
			        1745022493,
			        224,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 10 batch_size 841 divergence str\\(\\'KL\\'\\) detect_batch 2 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 1",
			        5000,
			        841,
			        "str\\(\\'KL\\'\\)",
			        2,
			        "str\\(\\'tstat\\'\\)",
			        0.999,
			        1,
			        10,
			        0.15,
			        207,
			        0,
			        "None",
			        "i7169",
			        207,
			        688.79296875,
			        682.1372282608696,
			        -1,
			        0.48859813084112147,
			        4569097
			    ],
			    [
			        1745021990,
			        1745022556,
			        566,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 684 feature_id 10 batch_size 180 divergence str\\(\\'KL\\'\\) detect_batch 2 statistic str\\(\\'tstat\\'\\) significance 0.001 subsets 89",
			        684,
			        180,
			        "str\\(\\'KL\\'\\)",
			        2,
			        "str\\(\\'tstat\\'\\)",
			        0.001,
			        89,
			        10,
			        0.13,
			        551,
			        0,
			        "None",
			        "i7185",
			        551,
			        687.35546875,
			        683.8081223060345,
			        -1,
			        0.14130841121495327,
			        4568898
			    ],
			    [
			        1745022571,
			        1745022584,
			        13,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 777 feature_id 10 batch_size 1 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.001 subsets 1",
			        777,
			        1,
			        "str\\(\\'H\\'\\)",
			        1,
			        "str\\(\\'stdev\\'\\)",
			        0.001,
			        1,
			        10,
			        "None",
			        "None",
			        1,
			        "None",
			        "i7185",
			        "",
			        "",
			        "",
			        "",
			        "",
			        4569296
			    ],
			    [
			        1745022889,
			        1745023119,
			        230,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3148 feature_id 10 batch_size 1464 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 100",
			        3148,
			        1464,
			        "str\\(\\'H\\'\\)",
			        3,
			        "str\\(\\'tstat\\'\\)",
			        0.999,
			        100,
			        10,
			        0.14,
			        214,
			        0,
			        "None",
			        "i7180",
			        214,
			        688.41796875,
			        688.3517252604166,
			        -1,
			        0.2371588785046729,
			        4569533
			    ],
			    [
			        1745023280,
			        1745023509,
			        229,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 10 batch_size 372 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 100",
			        5000,
			        372,
			        "str\\(\\'H\\'\\)",
			        3,
			        "str\\(\\'tstat\\'\\)",
			        0.999,
			        100,
			        10,
			        0.14,
			        218,
			        0,
			        "None",
			        "i7170",
			        218,
			        688.0546875,
			        688.0198567708334,
			        -1,
			        0.28276635514018694,
			        4569838
			    ],
			    [
			        1745023609,
			        1745023941,
			        332,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2059 feature_id 10 batch_size 799 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 1",
			        2059,
			        799,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'tstat\\'\\)",
			        0.999,
			        1,
			        10,
			        0.15,
			        317,
			        0,
			        "None",
			        "i7170",
			        317,
			        689.1640625,
			        687.6537224264706,
			        -1,
			        0.9707289719626169,
			        4570108
			    ],
			    [
			        1745023970,
			        1745024215,
			        245,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 10 batch_size 155 divergence str\\(\\'H\\'\\) detect_batch 2 statistic str\\(\\'tstat\\'\\) significance 0.001 subsets 1",
			        5000,
			        155,
			        "str\\(\\'H\\'\\)",
			        2,
			        "str\\(\\'tstat\\'\\)",
			        0.001,
			        1,
			        10,
			        0.14,
			        231,
			        0,
			        "None",
			        "i7168",
			        231,
			        689.390625,
			        689.3547175480769,
			        -1,
			        0.48499688473520247,
			        4570440
			    ],
			    [
			        1745024270,
			        1745024639,
			        369,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 10 batch_size 1240 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.001 subsets 1",
			        5000,
			        1240,
			        "str\\(\\'H\\'\\)",
			        1,
			        "str\\(\\'stdev\\'\\)",
			        0.001,
			        1,
			        10,
			        0.15,
			        356,
			        0,
			        "None",
			        "i7180",
			        356,
			        689.390625,
			        689.376953125,
			        -1,
			        0.964,
			        4570682
			    ],
			    [
			        1745024710,
			        1745024970,
			        260,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 10 batch_size 2110 divergence str\\(\\'KL\\'\\) detect_batch 2 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 1",
			        5000,
			        2110,
			        "str\\(\\'KL\\'\\)",
			        2,
			        "str\\(\\'tstat\\'\\)",
			        0.999,
			        1,
			        10,
			        0.15,
			        246,
			        0,
			        "None",
			        "i7169",
			        246,
			        688.08984375,
			        688.0567129629629,
			        -1,
			        0.4746542056074766,
			        4571035
			    ],
			    [
			        1745025151,
			        1745025380,
			        229,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2939 feature_id 10 batch_size 3333 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'stdev\\'\\) significance 0.001 subsets 94",
			        2939,
			        3333,
			        "str\\(\\'H\\'\\)",
			        3,
			        "str\\(\\'stdev\\'\\)",
			        0.001,
			        94,
			        10,
			        0.14,
			        214,
			        0,
			        "None",
			        "i7170",
			        214,
			        687.82421875,
			        687.80078125,
			        -1,
			        0.33226168224299063,
			        4571354
			    ],
			    [
			        1745025531,
			        1745025892,
			        361,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 10 batch_size 40 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.001 subsets 1",
			        5000,
			        40,
			        "str\\(\\'H\\'\\)",
			        1,
			        "str\\(\\'stdev\\'\\)",
			        0.001,
			        1,
			        10,
			        0.15,
			        348,
			        0,
			        "None",
			        "i7185",
			        348,
			        687.29296875,
			        687.2777660472973,
			        -1,
			        0.9151526479750779,
			        4571611
			    ],
			    [
			        1745025971,
			        1745026248,
			        277,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 10 batch_size 2477 divergence str\\(\\'KL\\'\\) detect_batch 2 statistic str\\(\\'stdev\\'\\) significance 0.999 subsets 1",
			        5000,
			        2477,
			        "str\\(\\'KL\\'\\)",
			        2,
			        "str\\(\\'stdev\\'\\)",
			        0.999,
			        1,
			        10,
			        0.14,
			        264,
			        0,
			        "None",
			        "i7180",
			        264,
			        687.92578125,
			        687.8962823275862,
			        -1,
			        0.4689470404984424,
			        4571897
			    ],
			    [
			        1745026351,
			        1745026675,
			        324,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4838 feature_id 10 batch_size 1691 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 82",
			        4838,
			        1691,
			        "str\\(\\'H\\'\\)",
			        1,
			        "str\\(\\'tstat\\'\\)",
			        0.999,
			        82,
			        10,
			        0.14,
			        310,
			        0,
			        "None",
			        "i7170",
			        310,
			        689.10546875,
			        688.6061789772727,
			        -1,
			        0.4003613707165109,
			        4572154
			    ],
			    [
			        1745026730,
			        1745026952,
			        222,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 10 batch_size 1158 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 100",
			        5000,
			        1158,
			        "str\\(\\'H\\'\\)",
			        3,
			        "str\\(\\'tstat\\'\\)",
			        0.999,
			        100,
			        10,
			        0.13,
			        210,
			        0,
			        "None",
			        "i7170",
			        210,
			        688.03515625,
			        687.9982096354166,
			        -1,
			        0.27811838006230527,
			        4572447
			    ],
			    [
			        1745027181,
			        1745027457,
			        276,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 10 batch_size 3272 divergence str\\(\\'KL\\'\\) detect_batch 2 statistic str\\(\\'stdev\\'\\) significance 0.999 subsets 1",
			        5000,
			        3272,
			        "str\\(\\'KL\\'\\)",
			        2,
			        "str\\(\\'stdev\\'\\)",
			        0.999,
			        1,
			        10,
			        0.14,
			        261,
			        0,
			        "None",
			        "i7173",
			        261,
			        687.69921875,
			        687.6694504310345,
			        -1,
			        0.4643613707165109,
			        4572793
			    ],
			    [
			        1745027570,
			        1745027770,
			        200,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4594 feature_id 10 batch_size 102 divergence str\\(\\'KL\\'\\) detect_batch 3 statistic str\\(\\'stdev\\'\\) significance 0.999 subsets 27",
			        4594,
			        102,
			        "str\\(\\'KL\\'\\)",
			        3,
			        "str\\(\\'stdev\\'\\)",
			        0.999,
			        27,
			        10,
			        0.14,
			        187,
			        0,
			        "None",
			        "i7169",
			        187,
			        688.7109375,
			        688.6839657738095,
			        -1,
			        0.20209345794392522,
			        4573094
			    ],
			    [
			        1745027901,
			        1745028110,
			        209,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2913 feature_id 10 batch_size 105 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.001 subsets 49",
			        2913,
			        105,
			        "str\\(\\'H\\'\\)",
			        3,
			        "str\\(\\'tstat\\'\\)",
			        0.001,
			        49,
			        10,
			        0.14,
			        195,
			        0,
			        "None",
			        "i7173",
			        195,
			        687.6640625,
			        687.62890625,
			        -1,
			        0.14523364485981308,
			        4573356
			    ],
			    [
			        1745028432,
			        1745028689,
			        257,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4464 feature_id 10 batch_size 3038 divergence str\\(\\'KL\\'\\) detect_batch 2 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 39",
			        4464,
			        3038,
			        "str\\(\\'KL\\'\\)",
			        2,
			        "str\\(\\'tstat\\'\\)",
			        0.999,
			        39,
			        10,
			        0.14,
			        245,
			        0,
			        "None",
			        "i7180",
			        245,
			        688.60546875,
			        688.5487557870371,
			        -1,
			        0.3028535825545171,
			        4573746
			    ],
			    [
			        1745028861,
			        1745029076,
			        215,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3477 feature_id 10 batch_size 873 divergence str\\(\\'KL\\'\\) detect_batch 3 statistic str\\(\\'stdev\\'\\) significance 0.2715996473609908 subsets 35",
			        3477,
			        873,
			        "str\\(\\'KL\\'\\)",
			        3,
			        "str\\(\\'stdev\\'\\)",
			        0.2715996473609908,
			        35,
			        10,
			        0.14,
			        201,
			        0,
			        "None",
			        "i7170",
			        201,
			        687.71875,
			        687.6841032608696,
			        -1,
			        0.18493457943925234,
			        4574070
			    ],
			    [
			        1745029432,
			        1745029720,
			        288,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 80 feature_id 10 batch_size 197 divergence str\\(\\'H\\'\\) detect_batch 2 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 1",
			        80,
			        197,
			        "str\\(\\'H\\'\\)",
			        2,
			        "str\\(\\'tstat\\'\\)",
			        0.999,
			        1,
			        10,
			        0.15,
			        275,
			        0,
			        "None",
			        "i7185",
			        275,
			        688.25390625,
			        688.21953125,
			        -1,
			        0.4881495327102804,
			        4574484
			    ],
			    [
			        1745030091,
			        1745030249,
			        158,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3096 feature_id 10 batch_size 290 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'stdev\\'\\) significance 0.001 subsets 34",
			        3096,
			        290,
			        "str\\(\\'H\\'\\)",
			        3,
			        "str\\(\\'stdev\\'\\)",
			        0.001,
			        34,
			        10,
			        0.14,
			        145,
			        0,
			        "None",
			        "i7168",
			        145,
			        688.19921875,
			        688.16796875,
			        -1,
			        0.27102803738317754,
			        4574974
			    ],
			    [
			        1745030432,
			        1745030679,
			        247,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1269 feature_id 10 batch_size 947 divergence str\\(\\'H\\'\\) detect_batch 2 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 50",
			        1269,
			        947,
			        "str\\(\\'H\\'\\)",
			        2,
			        "str\\(\\'tstat\\'\\)",
			        0.999,
			        50,
			        10,
			        0.14,
			        232,
			        0,
			        "None",
			        "i7170",
			        232,
			        689.48828125,
			        689.4020432692307,
			        -1,
			        0.283214953271028,
			        4575204
			    ],
			    [
			        1745030851,
			        1745031146,
			        295,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3896 feature_id 10 batch_size 932 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 72",
			        3896,
			        932,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'tstat\\'\\)",
			        0.999,
			        72,
			        10,
			        0.14,
			        282,
			        0,
			        "None",
			        "i7169",
			        282,
			        688.7890625,
			        688.7597026209677,
			        -1,
			        0.404797507788162,
			        4575498
			    ],
			    [
			        1745031351,
			        1745031534,
			        183,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4655 feature_id 10 batch_size 1355 divergence str\\(\\'KL\\'\\) detect_batch 2 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 74",
			        4655,
			        1355,
			        "str\\(\\'KL\\'\\)",
			        2,
			        "str\\(\\'tstat\\'\\)",
			        0.999,
			        74,
			        10,
			        0.14,
			        168,
			        0,
			        "None",
			        "i7168",
			        168,
			        688.33203125,
			        688.2796052631579,
			        -1,
			        0.2621308411214953,
			        4575850
			    ],
			    [
			        1745031772,
			        1745032415,
			        643,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4326 feature_id 10 batch_size 417 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 81",
			        4326,
			        417,
			        "str\\(\\'H\\'\\)",
			        1,
			        "str\\(\\'tstat\\'\\)",
			        0.999,
			        81,
			        10,
			        0.15,
			        628,
			        0,
			        "None",
			        "i7173",
			        628,
			        688.8671875,
			        688.8578125,
			        -1,
			        0.43128971962616824,
			        4576161
			    ],
			    [
			        1745032292,
			        1745032495,
			        203,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 917 feature_id 10 batch_size 3373 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.001 subsets 94",
			        917,
			        3373,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'tstat\\'\\)",
			        0.001,
			        94,
			        10,
			        0.13,
			        191,
			        0,
			        "None",
			        "i7170",
			        191,
			        688.171875,
			        687.8698508522727,
			        -1,
			        0.04203115264797508,
			        4576529
			    ],
			    [
			        1745032672,
			        1745032907,
			        235,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 545 feature_id 10 batch_size 322 divergence str\\(\\'KL\\'\\) detect_batch 3 statistic str\\(\\'stdev\\'\\) significance 0.001 subsets 51",
			        545,
			        322,
			        "str\\(\\'KL\\'\\)",
			        3,
			        "str\\(\\'stdev\\'\\)",
			        0.001,
			        51,
			        10,
			        0.14,
			        222,
			        0,
			        "None",
			        "i7170",
			        222,
			        688.97265625,
			        688.94640625,
			        -1,
			        0.2800373831775701,
			        4576808
			    ],
			    [
			        1745033033,
			        1745033283,
			        250,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4210 feature_id 10 batch_size 3030 divergence str\\(\\'KL\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 54",
			        4210,
			        3030,
			        "str\\(\\'KL\\'\\)",
			        3,
			        "str\\(\\'tstat\\'\\)",
			        0.999,
			        54,
			        10,
			        0.14,
			        236,
			        0,
			        "None",
			        "i7173",
			        236,
			        688.375,
			        688.3366887019231,
			        -1,
			        0.33981308411214955,
			        4577042
			    ],
			    [
			        1745033474,
			        1745033737,
			        263,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3260 feature_id 10 batch_size 3747 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'stdev\\'\\) significance 0.001 subsets 100",
			        3260,
			        3747,
			        "str\\(\\'H\\'\\)",
			        3,
			        "str\\(\\'stdev\\'\\)",
			        0.001,
			        100,
			        10,
			        0.13,
			        245,
			        0,
			        "None",
			        "i7180",
			        245,
			        688.15234375,
			        687.6644965277778,
			        -1,
			        0.3268411214953271,
			        4577319
			    ],
			    [
			        1745033933,
			        1745034170,
			        237,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4882 feature_id 10 batch_size 1368 divergence str\\(\\'H\\'\\) detect_batch 2 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 44",
			        4882,
			        1368,
			        "str\\(\\'H\\'\\)",
			        2,
			        "str\\(\\'tstat\\'\\)",
			        0.999,
			        44,
			        10,
			        0.13,
			        225,
			        0,
			        "None",
			        "i7185",
			        225,
			        688.41796875,
			        688.37171875,
			        -1,
			        0.2478380062305296,
			        4577613
			    ],
			    [
			        1745034294,
			        1745034498,
			        204,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1222 feature_id 10 batch_size 2861 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.999 subsets 76",
			        1222,
			        2861,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'stdev\\'\\)",
			        0.999,
			        76,
			        10,
			        0.13,
			        190,
			        0,
			        "None",
			        "i7180",
			        190,
			        687.8671875,
			        687.5478050595239,
			        -1,
			        0.035651090342679125,
			        4577856
			    ],
			    [
			        1745034612,
			        1745034856,
			        244,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4184 feature_id 10 batch_size 5000 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.001 subsets 100",
			        4184,
			        5000,
			        "str\\(\\'H\\'\\)",
			        1,
			        "str\\(\\'stdev\\'\\)",
			        0.001,
			        100,
			        10,
			        0.12,
			        232,
			        0,
			        "None",
			        "i7180",
			        232,
			        686.39453125,
			        685.9523737980769,
			        -1,
			        0.18691588785046728,
			        4578084
			    ],
			    [
			        1745035043,
			        1745035320,
			        277,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 180 feature_id 10 batch_size 689 divergence str\\(\\'H\\'\\) detect_batch 2 statistic str\\(\\'stdev\\'\\) significance 0.999 subsets 3",
			        180,
			        689,
			        "str\\(\\'H\\'\\)",
			        2,
			        "str\\(\\'stdev\\'\\)",
			        0.999,
			        3,
			        10,
			        0.15,
			        260,
			        0,
			        "None",
			        "i7180",
			        260,
			        688.6640625,
			        688.6298828125,
			        -1,
			        0.45588785046728975,
			        4578385
			    ],
			    [
			        1745035395,
			        1745035552,
			        157,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1101 feature_id 10 batch_size 249 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'stdev\\'\\) significance 0.001 subsets 12",
			        1101,
			        249,
			        "str\\(\\'H\\'\\)",
			        3,
			        "str\\(\\'stdev\\'\\)",
			        0.001,
			        12,
			        10,
			        0.14,
			        143,
			        0,
			        "None",
			        "i7168",
			        143,
			        689.09375,
			        687.2228860294117,
			        -1,
			        0.2729595015576324,
			        4578642
			    ],
			    [
			        1745035814,
			        1745036182,
			        368,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 10 batch_size 1797 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.001 subsets 1",
			        5000,
			        1797,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'stdev\\'\\)",
			        0.001,
			        1,
			        10,
			        0.15,
			        351,
			        0,
			        "None",
			        "i7173",
			        351,
			        687.71875,
			        687.7074424342105,
			        -1,
			        0.960361370716511,
			        4578907
			    ],
			    [
			        1745036234,
			        1745036567,
			        333,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 10 batch_size 4238 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.001 subsets 1",
			        1,
			        4238,
			        "str\\(\\'H\\'\\)",
			        1,
			        "str\\(\\'stdev\\'\\)",
			        0.001,
			        1,
			        10,
			        0.15,
			        322,
			        0,
			        "None",
			        "i7173",
			        322,
			        688.5390625,
			        688.5301339285714,
			        -1,
			        0.9256697819314642,
			        4579186
			    ],
			    [
			        1745036694,
			        1745036963,
			        269,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2076 feature_id 10 batch_size 314 divergence str\\(\\'KL\\'\\) detect_batch 2 statistic str\\(\\'stdev\\'\\) significance 0.001 subsets 48",
			        2076,
			        314,
			        "str\\(\\'KL\\'\\)",
			        2,
			        "str\\(\\'stdev\\'\\)",
			        0.001,
			        48,
			        10,
			        0.14,
			        257,
			        0,
			        "None",
			        "i7185",
			        257,
			        687.57421875,
			        687.5460379464286,
			        -1,
			        0.2802866043613707,
			        4579482
			    ],
			    [
			        1745037094,
			        1745037316,
			        222,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3017 feature_id 10 batch_size 400 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'stdev\\'\\) significance 0.999 subsets 8",
			        3017,
			        400,
			        "str\\(\\'H\\'\\)",
			        3,
			        "str\\(\\'stdev\\'\\)",
			        0.999,
			        8,
			        10,
			        0.14,
			        209,
			        0,
			        "None",
			        "i7173",
			        209,
			        688.41796875,
			        688.3578464673913,
			        -1,
			        0.18940809968847352,
			        4579731
			    ],
			    [
			        1745037455,
			        1745037810,
			        355,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1311 feature_id 10 batch_size 560 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.999 subsets 2",
			        1311,
			        560,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'stdev\\'\\)",
			        0.999,
			        2,
			        10,
			        0.15,
			        338,
			        0,
			        "None",
			        "i7180",
			        338,
			        687.96484375,
			        687.0172526041666,
			        -1,
			        0.9729719626168224,
			        4579942
			    ],
			    [
			        1745037953,
			        1745038165,
			        212,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4900 feature_id 10 batch_size 4674 divergence str\\(\\'H\\'\\) detect_batch 2 statistic str\\(\\'stdev\\'\\) significance 0.001 subsets 81",
			        4900,
			        4674,
			        "str\\(\\'H\\'\\)",
			        2,
			        "str\\(\\'stdev\\'\\)",
			        0.001,
			        81,
			        10,
			        0.13,
			        201,
			        0,
			        "None",
			        "i7170",
			        201,
			        688.390625,
			        688.3459578804348,
			        -1,
			        0.29121495327102803,
			        4580262
			    ],
			    [
			        1745038634,
			        1745038871,
			        237,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3667 feature_id 10 batch_size 693 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 52",
			        3667,
			        693,
			        "str\\(\\'H\\'\\)",
			        3,
			        "str\\(\\'tstat\\'\\)",
			        0.999,
			        52,
			        10,
			        0.14,
			        223,
			        0,
			        "None",
			        "i7173",
			        223,
			        688.6875,
			        688.6578125,
			        -1,
			        0.2514267912772586,
			        4580715
			    ],
			    [
			        1745039015,
			        1745039210,
			        195,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 10 batch_size 1484 divergence str\\(\\'H\\'\\) detect_batch 2 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 1",
			        5000,
			        1484,
			        "str\\(\\'H\\'\\)",
			        2,
			        "str\\(\\'tstat\\'\\)",
			        0.999,
			        1,
			        10,
			        0.14,
			        179,
			        0,
			        "None",
			        "i7169",
			        179,
			        687.453125,
			        687.3541015625,
			        -1,
			        0.480797507788162,
			        4580967
			    ],
			    [
			        1745039374,
			        1745039620,
			        246,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 10 batch_size 4397 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.999 subsets 1",
			        5000,
			        4397,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'stdev\\'\\)",
			        0.999,
			        1,
			        10,
			        0.15,
			        232,
			        0,
			        "None",
			        "i7169",
			        232,
			        688.8828125,
			        688.8659855769231,
			        -1,
			        0.9613333333333334,
			        4581216
			    ],
			    [
			        1745039725,
			        1745040087,
			        362,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3609 feature_id 10 batch_size 370 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.001 subsets 1",
			        3609,
			        370,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'stdev\\'\\)",
			        0.001,
			        1,
			        10,
			        0.15,
			        348,
			        0,
			        "None",
			        "i7185",
			        348,
			        687.59765625,
			        687.5850929054054,
			        -1,
			        0.9709781931464174,
			        4581432
			    ],
			    [
			        1745040060,
			        1745040271,
			        211,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1907 feature_id 10 batch_size 874 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'stdev\\'\\) significance 0.999 subsets 51",
			        1907,
			        874,
			        "str\\(\\'H\\'\\)",
			        3,
			        "str\\(\\'stdev\\'\\)",
			        0.999,
			        51,
			        10,
			        0.13,
			        195,
			        0,
			        "None",
			        "i7180",
			        195,
			        688.8125,
			        688.7775213068181,
			        -1,
			        0.09801869158878505,
			        4581626
			    ],
			    [
			        1745040434,
			        1745040607,
			        173,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4051 feature_id 10 batch_size 1841 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.001 subsets 94",
			        4051,
			        1841,
			        "str\\(\\'H\\'\\)",
			        3,
			        "str\\(\\'tstat\\'\\)",
			        0.001,
			        94,
			        10,
			        0.13,
			        159,
			        0,
			        "None",
			        "i7170",
			        159,
			        689.90234375,
			        684.9461805555555,
			        -1,
			        0.09176323987538941,
			        4581847
			    ],
			    [
			        1745040855,
			        1745041038,
			        183,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2714 feature_id 10 batch_size 3453 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'stdev\\'\\) significance 0.001 subsets 85",
			        2714,
			        3453,
			        "str\\(\\'H\\'\\)",
			        3,
			        "str\\(\\'stdev\\'\\)",
			        0.001,
			        85,
			        10,
			        0.14,
			        147,
			        0,
			        "None",
			        "i7168",
			        147,
			        688.015625,
			        674.1484375,
			        -1,
			        0.34422429906542057,
			        4582080
			    ],
			    [
			        1745041215,
			        1745041434,
			        219,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3600 feature_id 10 batch_size 1773 divergence str\\(\\'KL\\'\\) detect_batch 2 statistic str\\(\\'stdev\\'\\) significance 0.001 subsets 1",
			        3600,
			        1773,
			        "str\\(\\'KL\\'\\)",
			        2,
			        "str\\(\\'stdev\\'\\)",
			        0.001,
			        1,
			        10,
			        0.14,
			        205,
			        0,
			        "None",
			        "i7173",
			        205,
			        688.2578125,
			        688.2257133152174,
			        -1,
			        0.48605607476635515,
			        4582307
			    ],
			    [
			        1745041634,
			        1745041824,
			        190,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 10 batch_size 3721 divergence str\\(\\'KL\\'\\) detect_batch 2 statistic str\\(\\'stdev\\'\\) significance 0.999 subsets 1",
			        1,
			        3721,
			        "str\\(\\'KL\\'\\)",
			        2,
			        "str\\(\\'stdev\\'\\)",
			        0.999,
			        1,
			        10,
			        0.15,
			        176,
			        0,
			        "None",
			        "i7170",
			        176,
			        688.44921875,
			        688.405078125,
			        -1,
			        0.4851339563862928,
			        4582554
			    ],
			    [
			        1745041994,
			        1745042134,
			        140,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1141 feature_id 10 batch_size 3456 divergence str\\(\\'KL\\'\\) detect_batch 3 statistic str\\(\\'stdev\\'\\) significance 0.999 subsets 19",
			        1141,
			        3456,
			        "str\\(\\'KL\\'\\)",
			        3,
			        "str\\(\\'stdev\\'\\)",
			        0.999,
			        19,
			        10,
			        0.14,
			        129,
			        0,
			        "None",
			        "i7170",
			        129,
			        689.21875,
			        688.91953125,
			        -1,
			        0.08613084112149533,
			        4582787
			    ],
			    [
			        1745042495,
			        1745042764,
			        269,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 10 batch_size 3599 divergence str\\(\\'KL\\'\\) detect_batch 2 statistic str\\(\\'tstat\\'\\) significance 0.001 subsets 1",
			        1,
			        3599,
			        "str\\(\\'KL\\'\\)",
			        2,
			        "str\\(\\'tstat\\'\\)",
			        0.001,
			        1,
			        10,
			        0.14,
			        257,
			        0,
			        "None",
			        "i7173",
			        257,
			        688.70703125,
			        688.6657366071429,
			        -1,
			        0.46841121495327104,
			        4583069
			    ],
			    [
			        1745042975,
			        1745043198,
			        223,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3921 feature_id 10 batch_size 3193 divergence str\\(\\'H\\'\\) detect_batch 2 statistic str\\(\\'tstat\\'\\) significance 0.001 subsets 78",
			        3921,
			        3193,
			        "str\\(\\'H\\'\\)",
			        2,
			        "str\\(\\'tstat\\'\\)",
			        0.001,
			        78,
			        10,
			        0.13,
			        206,
			        0,
			        "None",
			        "i7173",
			        206,
			        689.34375,
			        689.0703125,
			        -1,
			        0.07957632398753894,
			        4583356
			    ],
			    [
			        1745043415,
			        1745043631,
			        216,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4315 feature_id 10 batch_size 1095 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'stdev\\'\\) significance 0.001 subsets 21",
			        4315,
			        1095,
			        "str\\(\\'H\\'\\)",
			        3,
			        "str\\(\\'stdev\\'\\)",
			        0.001,
			        21,
			        10,
			        0.15,
			        205,
			        0,
			        "None",
			        "i7173",
			        205,
			        688.09765625,
			        688.0704823369565,
			        -1,
			        0.2752772585669782,
			        4583627
			    ],
			    [
			        1745043955,
			        1745044147,
			        192,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2041 feature_id 10 batch_size 122 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 37",
			        2041,
			        122,
			        "str\\(\\'H\\'\\)",
			        3,
			        "str\\(\\'tstat\\'\\)",
			        0.999,
			        37,
			        10,
			        0.14,
			        180,
			        0,
			        "None",
			        "i7170",
			        180,
			        688.36328125,
			        678.5411086309524,
			        -1,
			        0.2523613707165109,
			        4583959
			    ],
			    [
			        1745044317,
			        1745044565,
			        248,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3061 feature_id 10 batch_size 2444 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 52",
			        3061,
			        2444,
			        "str\\(\\'H\\'\\)",
			        3,
			        "str\\(\\'tstat\\'\\)",
			        0.999,
			        52,
			        10,
			        0.14,
			        225,
			        0,
			        "None",
			        "i7173",
			        225,
			        687.8828125,
			        585.13046875,
			        -1,
			        0.3045482866043614,
			        4584275
			    ],
			    [
			        1745044835,
			        1745045091,
			        256,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4465 feature_id 10 batch_size 1798 divergence str\\(\\'H\\'\\) detect_batch 2 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 82",
			        4465,
			        1798,
			        "str\\(\\'H\\'\\)",
			        2,
			        "str\\(\\'tstat\\'\\)",
			        0.999,
			        82,
			        10,
			        0.13,
			        237,
			        0,
			        "None",
			        "i7170",
			        237,
			        612.3125,
			        574.9613882211538,
			        -1,
			        0.2887601246105919,
			        4584657
			    ],
			    [
			        1745045216,
			        1745045517,
			        301,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3492 feature_id 10 batch_size 1144 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.001 subsets 85",
			        3492,
			        1144,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'tstat\\'\\)",
			        0.001,
			        85,
			        10,
			        0.14,
			        282,
			        0,
			        "None",
			        "i7185",
			        282,
			        632.75,
			        576.6466733870968,
			        -1,
			        0.2280872274143302,
			        4584906
			    ],
			    [
			        1745045636,
			        1745045886,
			        250,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1122 feature_id 10 batch_size 1668 divergence str\\(\\'KL\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.001 subsets 70",
			        1122,
			        1668,
			        "str\\(\\'KL\\'\\)",
			        3,
			        "str\\(\\'tstat\\'\\)",
			        0.001,
			        70,
			        10,
			        0.13,
			        231,
			        0,
			        "None",
			        "i7173",
			        231,
			        601.84375,
			        571.9200721153846,
			        -1,
			        0.18706542056074765,
			        4585152
			    ],
			    [
			        1745046237,
			        1745046468,
			        231,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3092 feature_id 10 batch_size 1625 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.001 subsets 24",
			        3092,
			        1625,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'stdev\\'\\)",
			        0.001,
			        24,
			        10,
			        0.14,
			        208,
			        0,
			        "None",
			        "i7170",
			        208,
			        634.234375,
			        583.277004076087,
			        -1,
			        0.32398753894080995,
			        4585474
			    ],
			    [
			        1745046676,
			        1745046873,
			        197,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1929 feature_id 10 batch_size 3500 divergence str\\(\\'KL\\'\\) detect_batch 3 statistic str\\(\\'stdev\\'\\) significance 0.999 subsets 89",
			        1929,
			        3500,
			        "str\\(\\'KL\\'\\)",
			        3,
			        "str\\(\\'stdev\\'\\)",
			        0.999,
			        89,
			        10,
			        0.14,
			        173,
			        0,
			        "None",
			        "i7170",
			        173,
			        632.1953125,
			        590.5603515625,
			        -1,
			        0.21806853582554517,
			        4585739
			    ],
			    [
			        1745047259,
			        1745047480,
			        221,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1749 feature_id 10 batch_size 3282 divergence str\\(\\'KL\\'\\) detect_batch 3 statistic str\\(\\'stdev\\'\\) significance 0.001 subsets 19",
			        1749,
			        3282,
			        "str\\(\\'KL\\'\\)",
			        3,
			        "str\\(\\'stdev\\'\\)",
			        0.001,
			        19,
			        10,
			        0.13,
			        208,
			        0,
			        "None",
			        "i7185",
			        208,
			        687.328125,
			        584.6898777173913,
			        -1,
			        0.2862803738317757,
			        4586042
			    ],
			    [
			        1745047757,
			        1745047941,
			        184,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4148 feature_id 10 batch_size 2766 divergence str\\(\\'KL\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.001 subsets 51",
			        4148,
			        2766,
			        "str\\(\\'KL\\'\\)",
			        3,
			        "str\\(\\'tstat\\'\\)",
			        0.001,
			        51,
			        10,
			        0.13,
			        160,
			        0,
			        "None",
			        "i7170",
			        160,
			        667.49609375,
			        587.9268663194445,
			        -1,
			        0.17233644859813085,
			        4586332
			    ],
			    [
			        1745048397,
			        1745048658,
			        261,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2330 feature_id 10 batch_size 4130 divergence str\\(\\'KL\\'\\) detect_batch 2 statistic str\\(\\'stdev\\'\\) significance 0.999 subsets 1",
			        2330,
			        4130,
			        "str\\(\\'KL\\'\\)",
			        2,
			        "str\\(\\'stdev\\'\\)",
			        0.999,
			        1,
			        10,
			        0.15,
			        245,
			        0,
			        "None",
			        "i7185",
			        245,
			        685.96484375,
			        625.8773148148148,
			        -1,
			        0.48973208722741435,
			        4586695
			    ],
			    [
			        1745048897,
			        1745049165,
			        268,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 10 batch_size 4016 divergence str\\(\\'KL\\'\\) detect_batch 2 statistic str\\(\\'stdev\\'\\) significance 0.001 subsets 1",
			        1,
			        4016,
			        "str\\(\\'KL\\'\\)",
			        2,
			        "str\\(\\'stdev\\'\\)",
			        0.001,
			        1,
			        10,
			        0.15,
			        247,
			        0,
			        "None",
			        "i7173",
			        247,
			        679.203125,
			        642.5559895833334,
			        -1,
			        0.47552647975077883,
			        4586988
			    ],
			    [
			        1745049397,
			        1745049603,
			        206,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2829 feature_id 10 batch_size 4874 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'stdev\\'\\) significance 0.999 subsets 33",
			        2829,
			        4874,
			        "str\\(\\'H\\'\\)",
			        3,
			        "str\\(\\'stdev\\'\\)",
			        0.999,
			        33,
			        10,
			        0.12,
			        183,
			        0,
			        "None",
			        "i7170",
			        183,
			        666.328125,
			        580.9760044642857,
			        -1,
			        0.1822056074766355,
			        4587276
			    ],
			    [
			        1745049937,
			        1745050169,
			        232,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 355 feature_id 10 batch_size 1409 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'stdev\\'\\) significance 0.001 subsets 23",
			        355,
			        1409,
			        "str\\(\\'H\\'\\)",
			        3,
			        "str\\(\\'stdev\\'\\)",
			        0.001,
			        23,
			        10,
			        0.14,
			        212,
			        0,
			        "None",
			        "i7170",
			        212,
			        651.21875,
			        590.1041666666666,
			        -1,
			        0.2911277258566978,
			        4587589
			    ],
			    [
			        1745050517,
			        1745050733,
			        216,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2975 feature_id 10 batch_size 206 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'stdev\\'\\) significance 0.999 subsets 40",
			        2975,
			        206,
			        "str\\(\\'H\\'\\)",
			        3,
			        "str\\(\\'stdev\\'\\)",
			        0.999,
			        40,
			        10,
			        0.14,
			        202,
			        0,
			        "None",
			        "i7180",
			        202,
			        687.59375,
			        684.1029211956521,
			        -1,
			        0.20022429906542055,
			        4587899
			    ],
			    [
			        1745050948,
			        1745051211,
			        263,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1020 feature_id 10 batch_size 3783 divergence str\\(\\'H\\'\\) detect_batch 2 statistic str\\(\\'stdev\\'\\) significance 0.999 subsets 1",
			        1020,
			        3783,
			        "str\\(\\'H\\'\\)",
			        2,
			        "str\\(\\'stdev\\'\\)",
			        0.999,
			        1,
			        10,
			        0.15,
			        246,
			        0,
			        "None",
			        "i7180",
			        246,
			        688.43359375,
			        688.4006076388889,
			        -1,
			        0.4936323987538941,
			        4588140
			    ],
			    [
			        1745051458,
			        1745051726,
			        268,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 10 batch_size 4273 divergence str\\(\\'KL\\'\\) detect_batch 2 statistic str\\(\\'stdev\\'\\) significance 0.001 subsets 1",
			        1,
			        4273,
			        "str\\(\\'KL\\'\\)",
			        2,
			        "str\\(\\'stdev\\'\\)",
			        0.001,
			        1,
			        10,
			        0.15,
			        246,
			        0,
			        "None",
			        "i7185",
			        246,
			        677.51953125,
			        594.9563078703703,
			        -1,
			        0.4543052959501558,
			        4588400
			    ],
			    [
			        1745052045,
			        1745052312,
			        267,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1238 feature_id 10 batch_size 4468 divergence str\\(\\'KL\\'\\) detect_batch 2 statistic str\\(\\'stdev\\'\\) significance 0.001 subsets 1",
			        1238,
			        4468,
			        "str\\(\\'KL\\'\\)",
			        2,
			        "str\\(\\'stdev\\'\\)",
			        0.001,
			        1,
			        10,
			        0.14,
			        244,
			        0,
			        "None",
			        "i7185",
			        244,
			        674.70703125,
			        611.9878472222222,
			        -1,
			        0.47617445482866044,
			        4588729
			    ],
			    [
			        1745052577,
			        1745052804,
			        227,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1257 feature_id 10 batch_size 3405 divergence str\\(\\'KL\\'\\) detect_batch 2 statistic str\\(\\'stdev\\'\\) significance 0.001 subsets 1",
			        1257,
			        3405,
			        "str\\(\\'KL\\'\\)",
			        2,
			        "str\\(\\'stdev\\'\\)",
			        0.001,
			        1,
			        10,
			        0.14,
			        203,
			        0,
			        "None",
			        "i7170",
			        203,
			        624.58984375,
			        573.5900135869565,
			        -1,
			        0.48424922118380065,
			        4589002
			    ],
			    [
			        1745053157,
			        1745053335,
			        178,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 703 feature_id 10 batch_size 2830 divergence str\\(\\'H\\'\\) detect_batch 2 statistic str\\(\\'stdev\\'\\) significance 0.999 subsets 89",
			        703,
			        2830,
			        "str\\(\\'H\\'\\)",
			        2,
			        "str\\(\\'stdev\\'\\)",
			        0.999,
			        89,
			        10,
			        0.13,
			        150,
			        0,
			        "None",
			        "i7170",
			        150,
			        686.38671875,
			        590.3191636029412,
			        -1,
			        0.03526479750778816,
			        4589318
			    ],
			    [
			        1745053842,
			        1745054250,
			        408,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 284 feature_id 10 batch_size 904 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 82",
			        284,
			        904,
			        "str\\(\\'H\\'\\)",
			        1,
			        "str\\(\\'tstat\\'\\)",
			        0.999,
			        82,
			        10,
			        0.14,
			        367,
			        0,
			        "None",
			        "i7185",
			        367,
			        610.90234375,
			        596.4291866987179,
			        -1,
			        0.38062305295950155,
			        4589622
			    ],
			    [
			        1745054294,
			        1745054606,
			        312,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3904 feature_id 10 batch_size 191 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 30",
			        3904,
			        191,
			        "str\\(\\'H\\'\\)",
			        1,
			        "str\\(\\'tstat\\'\\)",
			        0.999,
			        30,
			        10,
			        0.14,
			        263,
			        0,
			        "None",
			        "i7185",
			        263,
			        611.07421875,
			        587.581088362069,
			        -1,
			        0.39271028037383177,
			        4589864
			    ],
			    [
			        1745054798,
			        1745055013,
			        215,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 898 feature_id 10 batch_size 101 divergence str\\(\\'KL\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 100",
			        898,
			        101,
			        "str\\(\\'KL\\'\\)",
			        3,
			        "str\\(\\'tstat\\'\\)",
			        0.999,
			        100,
			        10,
			        0.14,
			        203,
			        0,
			        "None",
			        "i7185",
			        203,
			        686.1875,
			        632.4363111413044,
			        -1,
			        0.26681619937694706,
			        4590200
			    ],
			    [
			        1745055360,
			        1745055563,
			        203,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4762 feature_id 10 batch_size 954 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.001 subsets 21",
			        4762,
			        954,
			        "str\\(\\'H\\'\\)",
			        3,
			        "str\\(\\'tstat\\'\\)",
			        0.001,
			        21,
			        10,
			        0.13,
			        186,
			        0,
			        "None",
			        "i7180",
			        186,
			        688.78125,
			        688.7392113095239,
			        -1,
			        0.11887850467289719,
			        4590511
			    ],
			    [
			        1745055868,
			        1745056053,
			        185,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4304 feature_id 10 batch_size 112 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 3",
			        4304,
			        112,
			        "str\\(\\'H\\'\\)",
			        3,
			        "str\\(\\'tstat\\'\\)",
			        0.999,
			        3,
			        10,
			        0.14,
			        170,
			        0,
			        "None",
			        "i7183",
			        170,
			        689.01171875,
			        688.97578125,
			        -1,
			        0.2695700934579439,
			        4590794
			    ],
			    [
			        1745056419,
			        1745056759,
			        340,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4105 feature_id 10 batch_size 2434 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 1",
			        4105,
			        2434,
			        "str\\(\\'H\\'\\)",
			        1,
			        "str\\(\\'tstat\\'\\)",
			        0.999,
			        1,
			        10,
			        0.15,
			        326,
			        0,
			        "None",
			        "i7185",
			        326,
			        684.62109375,
			        658.7186383928571,
			        -1,
			        0.9456573208722742,
			        4591110
			    ],
			    [
			        1745057059,
			        1745057327,
			        268,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3918 feature_id 10 batch_size 2809 divergence str\\(\\'H\\'\\) detect_batch 2 statistic str\\(\\'stdev\\'\\) significance 0.999 subsets 1",
			        3918,
			        2809,
			        "str\\(\\'H\\'\\)",
			        2,
			        "str\\(\\'stdev\\'\\)",
			        0.999,
			        1,
			        10,
			        0.14,
			        247,
			        0,
			        "None",
			        "i7185",
			        247,
			        605.75,
			        571.4798900462963,
			        -1,
			        0.46513395638629285,
			        4591420
			    ],
			    [
			        1745057599,
			        1745057846,
			        247,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 10 batch_size 4695 divergence str\\(\\'H\\'\\) detect_batch 2 statistic str\\(\\'stdev\\'\\) significance 0.999 subsets 1",
			        1,
			        4695,
			        "str\\(\\'H\\'\\)",
			        2,
			        "str\\(\\'stdev\\'\\)",
			        0.999,
			        1,
			        10,
			        0.14,
			        236,
			        0,
			        "None",
			        "i7183",
			        236,
			        688.3984375,
			        688.3572716346154,
			        -1,
			        0.5016323987538941,
			        4591708
			    ],
			    [
			        1745058420,
			        1745058759,
			        339,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1783 feature_id 10 batch_size 4693 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.001 subsets 1",
			        1783,
			        4693,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'tstat\\'\\)",
			        0.001,
			        1,
			        10,
			        0.15,
			        326,
			        0,
			        "None",
			        "i7183",
			        326,
			        687.6328125,
			        687.6108258928572,
			        -1,
			        0.9692461059190031,
			        4592154
			    ],
			    [
			        1745058820,
			        1745059168,
			        348,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 10 batch_size 303 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 1",
			        5000,
			        303,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'tstat\\'\\)",
			        0.999,
			        1,
			        10,
			        0.15,
			        332,
			        0,
			        "None",
			        "i7185",
			        332,
			        680.7265625,
			        585.0862630208334,
			        -1,
			        0.9718753894080997,
			        4592377
			    ],
			    [
			        1745059421,
			        1745059663,
			        242,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1029 feature_id 10 batch_size 122 divergence str\\(\\'KL\\'\\) detect_batch 3 statistic str\\(\\'stdev\\'\\) significance 0.001 subsets 40",
			        1029,
			        122,
			        "str\\(\\'KL\\'\\)",
			        3,
			        "str\\(\\'stdev\\'\\)",
			        0.001,
			        40,
			        10,
			        0.14,
			        224,
			        0,
			        "None",
			        "i7180",
			        224,
			        688.50390625,
			        688.4759375,
			        -1,
			        0.2523613707165109,
			        4592689
			    ],
			    [
			        1745060010,
			        1745060363,
			        353,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 10 batch_size 1147 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.999 subsets 1",
			        1,
			        1147,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'stdev\\'\\)",
			        0.999,
			        1,
			        10,
			        0.15,
			        338,
			        0,
			        "None",
			        "i7185",
			        338,
			        660.33984375,
			        588.2169053819445,
			        -1,
			        0.9612959501557632,
			        4593012
			    ],
			    [
			        1745060466,
			        1745060799,
			        333,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 10 batch_size 4484 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 1",
			        1,
			        4484,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'tstat\\'\\)",
			        0.999,
			        1,
			        10,
			        0.15,
			        319,
			        0,
			        "None",
			        "i7185",
			        319,
			        621.28515625,
			        576.9222196691177,
			        -1,
			        0.9249719626168225,
			        4593235
			    ],
			    [
			        1745061085,
			        1745061344,
			        259,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4432 feature_id 10 batch_size 1923 divergence str\\(\\'KL\\'\\) detect_batch 2 statistic str\\(\\'tstat\\'\\) significance 0.001 subsets 1",
			        4432,
			        1923,
			        "str\\(\\'KL\\'\\)",
			        2,
			        "str\\(\\'tstat\\'\\)",
			        0.001,
			        1,
			        10,
			        0.14,
			        245,
			        0,
			        "None",
			        "i7183",
			        245,
			        689.4140625,
			        689.3799189814815,
			        -1,
			        0.4792523364485981,
			        4593576
			    ],
			    [
			        1745061510,
			        1745061835,
			        325,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 10 batch_size 671 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.001 subsets 1",
			        1,
			        671,
			        "str\\(\\'H\\'\\)",
			        1,
			        "str\\(\\'stdev\\'\\)",
			        0.001,
			        1,
			        10,
			        0.15,
			        315,
			        0,
			        "None",
			        "i7183",
			        315,
			        689.44140625,
			        689.427734375,
			        -1,
			        0.9700934579439252,
			        4593816
			    ],
			    [
			        1745062060,
			        1745062406,
			        346,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 10 batch_size 1566 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 1",
			        1,
			        1566,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'tstat\\'\\)",
			        0.999,
			        1,
			        10,
			        0.15,
			        330,
			        0,
			        "None",
			        "i7183",
			        330,
			        688.6953125,
			        688.6774553571429,
			        -1,
			        0.9703052959501558,
			        4594119
			    ],
			    [
			        1745062680,
			        1745063013,
			        333,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 10 batch_size 2517 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.045632619968194225 subsets 1",
			        1,
			        2517,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'stdev\\'\\)",
			        0.045632619968194225,
			        1,
			        10,
			        0.15,
			        318,
			        0,
			        "None",
			        "i7185",
			        318,
			        650.6015625,
			        581.5116038602941,
			        -1,
			        0.9473894080996885,
			        4594441
			    ],
			    [
			        1745063261,
			        1745063612,
			        351,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 10 batch_size 4925 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.999 subsets 1",
			        5000,
			        4925,
			        "str\\(\\'H\\'\\)",
			        1,
			        "str\\(\\'stdev\\'\\)",
			        0.999,
			        1,
			        10,
			        0.15,
			        337,
			        0,
			        "None",
			        "i7180",
			        337,
			        687.46875,
			        687.4545355902778,
			        -1,
			        0.9570218068535825,
			        4594745
			    ],
			    [
			        1745063721,
			        1745063961,
			        240,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4885 feature_id 10 batch_size 4829 divergence str\\(\\'KL\\'\\) detect_batch 2 statistic str\\(\\'stdev\\'\\) significance 0.001 subsets 1",
			        4885,
			        4829,
			        "str\\(\\'KL\\'\\)",
			        2,
			        "str\\(\\'stdev\\'\\)",
			        0.001,
			        1,
			        10,
			        0.14,
			        229,
			        0,
			        "None",
			        "i7183",
			        229,
			        688.0625,
			        688.02921875,
			        -1,
			        0.4564859813084112,
			        4594986
			    ],
			    [
			        1745064341,
			        1745064602,
			        261,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1511 feature_id 10 batch_size 439 divergence str\\(\\'H\\'\\) detect_batch 2 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 1",
			        1511,
			        439,
			        "str\\(\\'H\\'\\)",
			        2,
			        "str\\(\\'tstat\\'\\)",
			        0.999,
			        1,
			        10,
			        0.15,
			        245,
			        0,
			        "None",
			        "i7185",
			        245,
			        651.26953125,
			        580.0713252314815,
			        -1,
			        0.4838380062305296,
			        4595304
			    ],
			    [
			        1745065020,
			        1745065309,
			        289,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 10 batch_size 4286 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.999 subsets 1",
			        1,
			        4286,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'stdev\\'\\)",
			        0.999,
			        1,
			        10,
			        0.15,
			        256,
			        0,
			        "None",
			        "i7170",
			        256,
			        588.51171875,
			        568.35546875,
			        -1,
			        0.9364361370716511,
			        4595667
			    ],
			    [
			        1745065521,
			        1745065714,
			        193,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 947 feature_id 10 batch_size 91 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'stdev\\'\\) significance 0.001 subsets 24",
			        947,
			        91,
			        "str\\(\\'H\\'\\)",
			        3,
			        "str\\(\\'stdev\\'\\)",
			        0.001,
			        24,
			        10,
			        0.14,
			        184,
			        0,
			        "None",
			        "i7183",
			        184,
			        688.0546875,
			        688.0275297619048,
			        -1,
			        0.2596760124610592,
			        4595940
			    ],
			    [
			        1745066241,
			        1745066437,
			        196,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2078 feature_id 10 batch_size 4388 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'stdev\\'\\) significance 0.999 subsets 83",
			        2078,
			        4388,
			        "str\\(\\'H\\'\\)",
			        3,
			        "str\\(\\'stdev\\'\\)",
			        0.999,
			        83,
			        10,
			        0.13,
			        179,
			        0,
			        "None",
			        "i7185",
			        179,
			        675.62109375,
			        589.3697265625,
			        -1,
			        0.054679127725856695,
			        4596302
			    ],
			    [
			        1745066731,
			        1745067062,
			        331,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 93 feature_id 10 batch_size 3987 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 1",
			        93,
			        3987,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'tstat\\'\\)",
			        0.999,
			        1,
			        10,
			        0.15,
			        316,
			        0,
			        "None",
			        "i7183",
			        316,
			        687.5703125,
			        687.5539981617648,
			        -1,
			        0.9687352024922118,
			        4596571
			    ],
			    [
			        1745067407,
			        1745067746,
			        339,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 10 batch_size 3374 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.999 subsets 1",
			        1,
			        3374,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'stdev\\'\\)",
			        0.999,
			        1,
			        10,
			        0.15,
			        311,
			        0,
			        "None",
			        "i7185",
			        311,
			        604.1484375,
			        571.0199908088235,
			        -1,
			        0.9420934579439252,
			        4596887
			    ],
			    [
			        1745067902,
			        1745068126,
			        224,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 10 batch_size 4554 divergence str\\(\\'KL\\'\\) detect_batch 2 statistic str\\(\\'stdev\\'\\) significance 0.999 subsets 1",
			        1,
			        4554,
			        "str\\(\\'KL\\'\\)",
			        2,
			        "str\\(\\'stdev\\'\\)",
			        0.999,
			        1,
			        10,
			        0.14,
			        204,
			        0,
			        "None",
			        "i7183",
			        204,
			        668.1953125,
			        585.0518002717391,
			        -1,
			        0.48581931464174455,
			        4597148
			    ],
			    [
			        1745068534,
			        1745068741,
			        207,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3499 feature_id 10 batch_size 256 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'stdev\\'\\) significance 0.001 subsets 67",
			        3499,
			        256,
			        "str\\(\\'H\\'\\)",
			        3,
			        "str\\(\\'stdev\\'\\)",
			        0.001,
			        67,
			        10,
			        0.14,
			        192,
			        0,
			        "None",
			        "i7183",
			        192,
			        642.72265625,
			        580.4866832386364,
			        -1,
			        0.28391277258566977,
			        4597480
			    ],
			    [
			        1745069162,
			        1745069415,
			        253,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1583 feature_id 10 batch_size 1118 divergence str\\(\\'KL\\'\\) detect_batch 2 statistic str\\(\\'tstat\\'\\) significance 0.11133160111796349 subsets 1",
			        1583,
			        1118,
			        "str\\(\\'KL\\'\\)",
			        2,
			        "str\\(\\'tstat\\'\\)",
			        0.11133160111796349,
			        1,
			        10,
			        0.15,
			        235,
			        0,
			        "None",
			        "i7183",
			        235,
			        625.99609375,
			        579.9768629807693,
			        -1,
			        0.487601246105919,
			        4597790
			    ],
			    [
			        1745070003,
			        1745070244,
			        241,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3323 feature_id 10 batch_size 280 divergence str\\(\\'H\\'\\) detect_batch 2 statistic str\\(\\'stdev\\'\\) significance 0.3981602361806694 subsets 32",
			        3323,
			        280,
			        "str\\(\\'H\\'\\)",
			        2,
			        "str\\(\\'stdev\\'\\)",
			        0.3981602361806694,
			        32,
			        10,
			        0.14,
			        224,
			        0,
			        "None",
			        "i7183",
			        224,
			        635.1328125,
			        575.9896875,
			        -1,
			        0.25121495327102805,
			        4598231
			    ],
			    [
			        1745070542,
			        1745070771,
			        229,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 3784 feature_id 10 batch_size 906 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.7444607609024096 subsets 23",
			        3784,
			        906,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'stdev\\'\\)",
			        0.7444607609024096,
			        23,
			        10,
			        0.14,
			        210,
			        0,
			        "None",
			        "i7185",
			        210,
			        640.67578125,
			        588.1497961956521,
			        -1,
			        0.26862305295950156,
			        4598478
			    ],
			    [
			        1745071082,
			        1745071297,
			        215,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4234 feature_id 10 batch_size 212 divergence str\\(\\'KL\\'\\) detect_batch 3 statistic str\\(\\'stdev\\'\\) significance 0.5631430337463584 subsets 32",
			        4234,
			        212,
			        "str\\(\\'KL\\'\\)",
			        3,
			        "str\\(\\'stdev\\'\\)",
			        0.5631430337463584,
			        32,
			        10,
			        0.14,
			        194,
			        0,
			        "None",
			        "i7183",
			        194,
			        670.765625,
			        582.6887428977273,
			        -1,
			        0.22454828660436138,
			        4598745
			    ],
			    [
			        1745071742,
			        1745071995,
			        253,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 4941 feature_id 10 batch_size 754 divergence str\\(\\'KL\\'\\) detect_batch 2 statistic str\\(\\'tstat\\'\\) significance 0.001 subsets 1",
			        4941,
			        754,
			        "str\\(\\'KL\\'\\)",
			        2,
			        "str\\(\\'tstat\\'\\)",
			        0.001,
			        1,
			        10,
			        0.15,
			        235,
			        0,
			        "None",
			        "i7183",
			        235,
			        685.96484375,
			        653.0896935096154,
			        -1,
			        0.48245482866043615,
			        4599080
			    ],
			    [
			        1745072282,
			        1745072553,
			        271,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2460 feature_id 10 batch_size 163 divergence str\\(\\'KL\\'\\) detect_batch 2 statistic str\\(\\'stdev\\'\\) significance 0.001 subsets 47",
			        2460,
			        163,
			        "str\\(\\'KL\\'\\)",
			        2,
			        "str\\(\\'stdev\\'\\)",
			        0.001,
			        47,
			        10,
			        0.14,
			        253,
			        0,
			        "None",
			        "i7183",
			        253,
			        680.48046875,
			        606.4016462053571,
			        -1,
			        0.26404984423676015,
			        4599368
			    ],
			    [
			        1745072913,
			        1745073174,
			        261,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1297 feature_id 10 batch_size 2961 divergence str\\(\\'KL\\'\\) detect_batch 2 statistic str\\(\\'stdev\\'\\) significance 0.001 subsets 1",
			        1297,
			        2961,
			        "str\\(\\'KL\\'\\)",
			        2,
			        "str\\(\\'stdev\\'\\)",
			        0.001,
			        1,
			        10,
			        0.14,
			        247,
			        0,
			        "None",
			        "i7183",
			        247,
			        682.453125,
			        616.683449074074,
			        -1,
			        0.4916510903426791,
			        4599693
			    ],
			    [
			        1745073683,
			        1745073885,
			        202,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 10 batch_size 3019 divergence str\\(\\'H\\'\\) detect_batch 2 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 1",
			        5000,
			        3019,
			        "str\\(\\'H\\'\\)",
			        2,
			        "str\\(\\'tstat\\'\\)",
			        0.999,
			        1,
			        10,
			        0.14,
			        183,
			        0,
			        "None",
			        "i7173",
			        183,
			        641.2421875,
			        593.688244047619,
			        -1,
			        0.46414953271028037,
			        4600071
			    ],
			    [
			        1745074404,
			        1745074613,
			        209,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 10 batch_size 1968 divergence str\\(\\'KL\\'\\) detect_batch 3 statistic str\\(\\'stdev\\'\\) significance 0.999 subsets 67",
			        5000,
			        1968,
			        "str\\(\\'KL\\'\\)",
			        3,
			        "str\\(\\'stdev\\'\\)",
			        0.999,
			        67,
			        10,
			        0.14,
			        197,
			        0,
			        "None",
			        "i7185",
			        197,
			        688.05078125,
			        601.0200639204545,
			        -1,
			        0.14675389408099687,
			        4600416
			    ],
			    [
			        1745075133,
			        1745075420,
			        287,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 10 batch_size 3712 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.001 subsets 1",
			        1,
			        3712,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'stdev\\'\\)",
			        0.001,
			        1,
			        10,
			        0.15,
			        273,
			        0,
			        "None",
			        "i7180",
			        273,
			        688.109375,
			        688.0966145833333,
			        -1,
			        0.9464548286604362,
			        4600771
			    ],
			    [
			        1745075793,
			        1745076013,
			        220,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2409 feature_id 10 batch_size 3131 divergence str\\(\\'KL\\'\\) detect_batch 2 statistic str\\(\\'stdev\\'\\) significance 0.267687583508693 subsets 35",
			        2409,
			        3131,
			        "str\\(\\'KL\\'\\)",
			        2,
			        "str\\(\\'stdev\\'\\)",
			        0.267687583508693,
			        35,
			        10,
			        0.15,
			        207,
			        0,
			        "None",
			        "i7183",
			        207,
			        677.88671875,
			        589.0417798913044,
			        -1,
			        0.31212461059190033,
			        4601076
			    ],
			    [
			        1745076384,
			        1745076645,
			        261,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 10 batch_size 4120 divergence str\\(\\'KL\\'\\) detect_batch 2 statistic str\\(\\'stdev\\'\\) significance 0.001 subsets 1",
			        1,
			        4120,
			        "str\\(\\'KL\\'\\)",
			        2,
			        "str\\(\\'stdev\\'\\)",
			        0.001,
			        1,
			        10,
			        0.15,
			        240,
			        0,
			        "None",
			        "i7185",
			        240,
			        611.80859375,
			        575.7836538461538,
			        -1,
			        0.4884859813084112,
			        4601346
			    ],
			    [
			        1745076964,
			        1745077199,
			        235,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 568 feature_id 10 batch_size 178 divergence str\\(\\'KL\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.495972337384212 subsets 5",
			        568,
			        178,
			        "str\\(\\'KL\\'\\)",
			        3,
			        "str\\(\\'tstat\\'\\)",
			        0.495972337384212,
			        5,
			        10,
			        0.13,
			        219,
			        0,
			        "None",
			        "i7185",
			        219,
			        633.38671875,
			        582.5849609375,
			        -1,
			        0.23289719626168223,
			        4601627
			    ],
			    [
			        1745077624,
			        1745077885,
			        261,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 360 feature_id 10 batch_size 1394 divergence str\\(\\'KL\\'\\) detect_batch 2 statistic str\\(\\'tstat\\'\\) significance 0.001 subsets 1",
			        360,
			        1394,
			        "str\\(\\'KL\\'\\)",
			        2,
			        "str\\(\\'tstat\\'\\)",
			        0.001,
			        1,
			        10,
			        0.15,
			        245,
			        0,
			        "None",
			        "i7185",
			        245,
			        594.60546875,
			        571.5962094907408,
			        -1,
			        0.48638006230529596,
			        4601937
			    ],
			    [
			        1745078364,
			        1745078599,
			        235,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 2073 feature_id 10 batch_size 75 divergence str\\(\\'H\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.5686960982778813 subsets 4",
			        2073,
			        75,
			        "str\\(\\'H\\'\\)",
			        1,
			        "str\\(\\'stdev\\'\\)",
			        0.5686960982778813,
			        4,
			        10,
			        0.14,
			        219,
			        0,
			        "None",
			        "i7183",
			        219,
			        688.73046875,
			        688.7081705729166,
			        -1,
			        0.30093457943925234,
			        4602307
			    ],
			    [
			        1745079164,
			        1745079331,
			        167,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 250 feature_id 10 batch_size 494 divergence str\\(\\'H\\'\\) detect_batch 3 statistic str\\(\\'tstat\\'\\) significance 0.001 subsets 30",
			        250,
			        494,
			        "str\\(\\'H\\'\\)",
			        3,
			        "str\\(\\'tstat\\'\\)",
			        0.001,
			        30,
			        10,
			        0.13,
			        156,
			        0,
			        "None",
			        "i7183",
			        156,
			        688.265625,
			        688.2183159722222,
			        -1,
			        0.14158255451713395,
			        4602666
			    ],
			    [
			        1745079725,
			        1745080001,
			        276,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 10 batch_size 1595 divergence str\\(\\'KL\\'\\) detect_batch 2 statistic str\\(\\'tstat\\'\\) significance 0.001 subsets 1",
			        5000,
			        1595,
			        "str\\(\\'KL\\'\\)",
			        2,
			        "str\\(\\'tstat\\'\\)",
			        0.001,
			        1,
			        10,
			        0.14,
			        264,
			        0,
			        "None",
			        "i7185",
			        264,
			        687.24609375,
			        681.7386853448276,
			        -1,
			        0.4770093457943925,
			        4602919
			    ],
			    [
			        1745080357,
			        1745080592,
			        235,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1118 feature_id 10 batch_size 236 divergence str\\(\\'H\\'\\) detect_batch 2 statistic str\\(\\'stdev\\'\\) significance 0.001 subsets 31",
			        1118,
			        236,
			        "str\\(\\'H\\'\\)",
			        2,
			        "str\\(\\'stdev\\'\\)",
			        0.001,
			        31,
			        10,
			        0.14,
			        220,
			        0,
			        "None",
			        "i7185",
			        220,
			        688.36328125,
			        688.3279622395834,
			        -1,
			        0.24996884735202493,
			        4603219
			    ],
			    [
			        1745081297,
			        1745081650,
			        353,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1084 feature_id 10 batch_size 4960 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.001 subsets 1",
			        1084,
			        4960,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'stdev\\'\\)",
			        0.001,
			        1,
			        10,
			        0.15,
			        338,
			        0,
			        "None",
			        "i7183",
			        338,
			        688.89453125,
			        688.8765190972222,
			        -1,
			        0.964,
			        4603642
			    ],
			    [
			        1745081890,
			        1745082159,
			        269,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 10 batch_size 3246 divergence str\\(\\'KL\\'\\) detect_batch 2 statistic str\\(\\'stdev\\'\\) significance 0.001 subsets 1",
			        1,
			        3246,
			        "str\\(\\'KL\\'\\)",
			        2,
			        "str\\(\\'stdev\\'\\)",
			        0.001,
			        1,
			        10,
			        0.14,
			        255,
			        0,
			        "None",
			        "i7183",
			        255,
			        687.7421875,
			        687.7092633928571,
			        -1,
			        0.46047352024922117,
			        4603918
			    ],
			    [
			        1745082581,
			        1745082850,
			        269,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 5000 feature_id 10 batch_size 569 divergence str\\(\\'H\\'\\) detect_batch 2 statistic str\\(\\'tstat\\'\\) significance 0.999 subsets 1",
			        5000,
			        569,
			        "str\\(\\'H\\'\\)",
			        2,
			        "str\\(\\'tstat\\'\\)",
			        0.999,
			        1,
			        10,
			        0.15,
			        255,
			        0,
			        "None",
			        "i7185",
			        255,
			        688.453125,
			        688.4242466517857,
			        -1,
			        0.4892336448598131,
			        4604203
			    ],
			    [
			        1745083832,
			        1745084113,
			        281,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 1 feature_id 10 batch_size 3801 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'stdev\\'\\) significance 0.999 subsets 1",
			        1,
			        3801,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'stdev\\'\\)",
			        0.999,
			        1,
			        10,
			        0.15,
			        269,
			        0,
			        "None",
			        "i7183",
			        269,
			        689.2421875,
			        689.2250808189655,
			        -1,
			        0.9697445482866044,
			        4604734
			    ],
			    [
			        1745084592,
			        1745084900,
			        308,
			        "module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python main.py 1 1 0 RialtoBridgeTimelapse 2000 HoeffdingTreeClassifier CDBD recent_samples_size 918 feature_id 10 batch_size 1130 divergence str\\(\\'KL\\'\\) detect_batch 1 statistic str\\(\\'tstat\\'\\) significance 0.001 subsets 1",
			        918,
			        1130,
			        "str\\(\\'KL\\'\\)",
			        1,
			        "str\\(\\'tstat\\'\\)",
			        0.001,
			        1,
			        10,
			        0.15,
			        294,
			        0,
			        "None",
			        "i7183",
			        294,
			        688.38671875,
			        688.37060546875,
			        -1,
			        0.9748411214953271,
			        4604912
			    ]
			];
			var tab_worker_usage_csv_json = [
			    [
			        1744998972.7942538,
			        20,
			        0,
			        0
			    ],
			    [
			        1744998983.4671361,
			        20,
			        0,
			        0
			    ],
			    [
			        1744998984.4026148,
			        20,
			        0,
			        0
			    ],
			    [
			        1744998984.6270125,
			        20,
			        0,
			        0
			    ],
			    [
			        1744998986.2298543,
			        20,
			        1,
			        5
			    ],
			    [
			        1744998991.8599193,
			        20,
			        1,
			        5
			    ],
			    [
			        1744998992.9487712,
			        20,
			        1,
			        5
			    ],
			    [
			        1744998993.159193,
			        20,
			        1,
			        5
			    ],
			    [
			        1744998994.6573682,
			        20,
			        2,
			        10
			    ],
			    [
			        1744999003.0835202,
			        20,
			        2,
			        10
			    ],
			    [
			        1744999003.916936,
			        20,
			        2,
			        10
			    ],
			    [
			        1744999004.1493893,
			        20,
			        2,
			        10
			    ],
			    [
			        1744999005.5682154,
			        20,
			        3,
			        15
			    ],
			    [
			        1744999016.2812896,
			        20,
			        3,
			        15
			    ],
			    [
			        1744999017.1623054,
			        20,
			        3,
			        15
			    ],
			    [
			        1744999017.383674,
			        20,
			        3,
			        15
			    ],
			    [
			        1744999019.0190353,
			        20,
			        4,
			        20
			    ],
			    [
			        1744999032.6904814,
			        20,
			        4,
			        20
			    ],
			    [
			        1744999033.5763905,
			        20,
			        4,
			        20
			    ],
			    [
			        1744999033.795636,
			        20,
			        4,
			        20
			    ],
			    [
			        1744999035.2220998,
			        20,
			        5,
			        25
			    ],
			    [
			        1744999051.3485217,
			        20,
			        5,
			        25
			    ],
			    [
			        1744999052.2596107,
			        20,
			        5,
			        25
			    ],
			    [
			        1744999052.4946787,
			        20,
			        5,
			        25
			    ],
			    [
			        1744999054.1137815,
			        20,
			        6,
			        30
			    ],
			    [
			        1744999073.8098502,
			        20,
			        6,
			        30
			    ],
			    [
			        1744999074.7001584,
			        20,
			        6,
			        30
			    ],
			    [
			        1744999074.9087534,
			        20,
			        6,
			        30
			    ],
			    [
			        1744999076.319926,
			        20,
			        7,
			        35
			    ],
			    [
			        1744999098.1299622,
			        20,
			        7,
			        35
			    ],
			    [
			        1744999099.0990105,
			        20,
			        7,
			        35
			    ],
			    [
			        1744999099.3166733,
			        20,
			        7,
			        35
			    ],
			    [
			        1744999101.0109496,
			        20,
			        8,
			        40
			    ],
			    [
			        1744999126.2743213,
			        20,
			        8,
			        40
			    ],
			    [
			        1744999127.1919043,
			        20,
			        8,
			        40
			    ],
			    [
			        1744999127.4099412,
			        20,
			        8,
			        40
			    ],
			    [
			        1744999129.0301507,
			        20,
			        9,
			        45
			    ],
			    [
			        1744999156.2747698,
			        20,
			        9,
			        45
			    ],
			    [
			        1744999157.1938617,
			        20,
			        9,
			        45
			    ],
			    [
			        1744999157.4095728,
			        20,
			        9,
			        45
			    ],
			    [
			        1744999159.084643,
			        20,
			        10,
			        50
			    ],
			    [
			        1744999189.3888118,
			        20,
			        10,
			        50
			    ],
			    [
			        1744999190.3700569,
			        20,
			        10,
			        50
			    ],
			    [
			        1744999190.6147103,
			        20,
			        10,
			        50
			    ],
			    [
			        1744999192.0445719,
			        20,
			        11,
			        55
			    ],
			    [
			        1744999225.1593316,
			        20,
			        11,
			        55
			    ],
			    [
			        1744999226.3007493,
			        20,
			        11,
			        55
			    ],
			    [
			        1744999226.5269365,
			        20,
			        11,
			        55
			    ],
			    [
			        1744999228.0280812,
			        20,
			        12,
			        60
			    ],
			    [
			        1744999262.7259026,
			        20,
			        12,
			        60
			    ],
			    [
			        1744999263.6143734,
			        20,
			        12,
			        60
			    ],
			    [
			        1744999263.8211093,
			        20,
			        12,
			        60
			    ],
			    [
			        1744999265.2127185,
			        20,
			        13,
			        65
			    ],
			    [
			        1744999265.7872958,
			        20,
			        13,
			        65
			    ],
			    [
			        1744999269.7883081,
			        20,
			        12,
			        60
			    ],
			    [
			        1744999305.8399472,
			        20,
			        11,
			        55
			    ],
			    [
			        1744999305.9146798,
			        20,
			        11,
			        55
			    ],
			    [
			        1744999306.8925533,
			        20,
			        11,
			        55
			    ],
			    [
			        1744999307.158437,
			        20,
			        11,
			        55
			    ],
			    [
			        1744999308.634763,
			        20,
			        12,
			        60
			    ],
			    [
			        1744999343.2766705,
			        20,
			        12,
			        60
			    ],
			    [
			        1744999344.2793057,
			        20,
			        12,
			        60
			    ],
			    [
			        1744999344.5162022,
			        20,
			        12,
			        60
			    ],
			    [
			        1744999346.0491915,
			        20,
			        13,
			        65
			    ],
			    [
			        1744999346.753912,
			        20,
			        13,
			        65
			    ],
			    [
			        1744999385.1494517,
			        20,
			        12,
			        60
			    ],
			    [
			        1744999385.2169278,
			        20,
			        12,
			        60
			    ],
			    [
			        1744999386.0934446,
			        20,
			        12,
			        60
			    ],
			    [
			        1744999386.3105886,
			        20,
			        12,
			        60
			    ],
			    [
			        1744999388.0793488,
			        20,
			        13,
			        65
			    ],
			    [
			        1744999425.8855376,
			        20,
			        13,
			        65
			    ],
			    [
			        1744999426.9094355,
			        20,
			        13,
			        65
			    ],
			    [
			        1744999427.1717858,
			        20,
			        13,
			        65
			    ],
			    [
			        1744999428.9238079,
			        20,
			        14,
			        70
			    ],
			    [
			        1744999429.5181968,
			        20,
			        14,
			        70
			    ],
			    [
			        1744999433.7900293,
			        20,
			        13,
			        65
			    ],
			    [
			        1744999473.2965739,
			        20,
			        12,
			        60
			    ],
			    [
			        1744999473.3627574,
			        20,
			        12,
			        60
			    ],
			    [
			        1744999474.291949,
			        20,
			        12,
			        60
			    ],
			    [
			        1744999474.5153546,
			        20,
			        12,
			        60
			    ],
			    [
			        1744999476.0312479,
			        20,
			        13,
			        65
			    ],
			    [
			        1744999513.9259796,
			        20,
			        13,
			        65
			    ],
			    [
			        1744999515.1430066,
			        20,
			        13,
			        65
			    ],
			    [
			        1744999515.3571985,
			        20,
			        13,
			        65
			    ],
			    [
			        1744999517.0351198,
			        20,
			        14,
			        70
			    ],
			    [
			        1744999517.603247,
			        20,
			        14,
			        70
			    ],
			    [
			        1744999521.3972955,
			        20,
			        13,
			        65
			    ],
			    [
			        1744999525.4742994,
			        20,
			        12,
			        60
			    ],
			    [
			        1744999529.5573056,
			        20,
			        11,
			        55
			    ],
			    [
			        1744999541.6394649,
			        20,
			        10,
			        50
			    ],
			    [
			        1744999564.623631,
			        20,
			        9,
			        45
			    ],
			    [
			        1744999564.698733,
			        20,
			        9,
			        45
			    ],
			    [
			        1744999565.5768747,
			        20,
			        9,
			        45
			    ],
			    [
			        1744999565.7912939,
			        20,
			        9,
			        45
			    ],
			    [
			        1744999567.265024,
			        20,
			        10,
			        50
			    ],
			    [
			        1744999570.6911805,
			        20,
			        10,
			        50
			    ],
			    [
			        1744999574.3153877,
			        20,
			        9,
			        45
			    ],
			    [
			        1744999600.0707054,
			        20,
			        8,
			        40
			    ],
			    [
			        1744999600.2489161,
			        20,
			        8,
			        40
			    ],
			    [
			        1744999600.732361,
			        20,
			        8,
			        40
			    ],
			    [
			        1744999604.330266,
			        20,
			        7,
			        35
			    ],
			    [
			        1744999608.2164905,
			        20,
			        6,
			        30
			    ],
			    [
			        1744999628.2245994,
			        20,
			        5,
			        25
			    ],
			    [
			        1744999629.4223802,
			        20,
			        5,
			        25
			    ],
			    [
			        1744999650.8627422,
			        20,
			        5,
			        25
			    ],
			    [
			        1744999672.5984368,
			        20,
			        5,
			        25
			    ],
			    [
			        1744999694.238709,
			        20,
			        5,
			        25
			    ],
			    [
			        1744999715.8852735,
			        20,
			        5,
			        25
			    ],
			    [
			        1744999721.4422257,
			        20,
			        5,
			        25
			    ],
			    [
			        1744999738.4464512,
			        20,
			        4,
			        20
			    ],
			    [
			        1744999738.5632381,
			        20,
			        4,
			        20
			    ],
			    [
			        1744999757.2128773,
			        20,
			        4,
			        20
			    ],
			    [
			        1744999762.7537746,
			        20,
			        4,
			        20
			    ],
			    [
			        1744999771.799757,
			        20,
			        3,
			        15
			    ],
			    [
			        1744999777.9124527,
			        20,
			        2,
			        10
			    ],
			    [
			        1744999778.034388,
			        20,
			        2,
			        10
			    ],
			    [
			        1744999791.8494322,
			        20,
			        2,
			        10
			    ],
			    [
			        1744999805.1775753,
			        20,
			        2,
			        10
			    ],
			    [
			        1744999818.1738002,
			        20,
			        2,
			        10
			    ],
			    [
			        1744999826.5578077,
			        20,
			        2,
			        10
			    ],
			    [
			        1744999832.5560033,
			        20,
			        1,
			        5
			    ],
			    [
			        1744999832.6776853,
			        20,
			        1,
			        5
			    ],
			    [
			        1744999843.347248,
			        20,
			        1,
			        5
			    ],
			    [
			        1744999854.1202214,
			        20,
			        1,
			        5
			    ],
			    [
			        1744999864.8060603,
			        20,
			        1,
			        5
			    ],
			    [
			        1744999875.3760135,
			        20,
			        1,
			        5
			    ],
			    [
			        1744999885.7642794,
			        20,
			        1,
			        5
			    ],
			    [
			        1744999896.7317722,
			        20,
			        1,
			        5
			    ],
			    [
			        1744999907.2285876,
			        20,
			        1,
			        5
			    ],
			    [
			        1744999917.6735644,
			        20,
			        1,
			        5
			    ],
			    [
			        1744999928.1421936,
			        20,
			        1,
			        5
			    ],
			    [
			        1744999938.567771,
			        20,
			        1,
			        5
			    ],
			    [
			        1744999949.068745,
			        20,
			        1,
			        5
			    ],
			    [
			        1744999959.151944,
			        20,
			        1,
			        5
			    ],
			    [
			        1744999964.727019,
			        20,
			        1,
			        5
			    ],
			    [
			        1744999971.1209955,
			        20,
			        0,
			        0
			    ],
			    [
			        1744999981.1126106,
			        20,
			        0,
			        0
			    ],
			    [
			        1745000246.6499982,
			        20,
			        0,
			        0
			    ],
			    [
			        1745000246.8544478,
			        20,
			        0,
			        0
			    ],
			    [
			        1745000248.4444087,
			        20,
			        1,
			        5
			    ],
			    [
			        1745000253.8572733,
			        20,
			        1,
			        5
			    ],
			    [
			        1745000463.6422374,
			        20,
			        1,
			        5
			    ],
			    [
			        1745000464.0255225,
			        20,
			        1,
			        5
			    ],
			    [
			        1745000465.4311202,
			        20,
			        2,
			        10
			    ],
			    [
			        1745000472.4284449,
			        20,
			        2,
			        10
			    ],
			    [
			        1745000657.7725017,
			        20,
			        2,
			        10
			    ],
			    [
			        1745000658.0678403,
			        20,
			        2,
			        10
			    ],
			    [
			        1745000660.473627,
			        20,
			        3,
			        15
			    ],
			    [
			        1745000669.4486263,
			        20,
			        3,
			        15
			    ],
			    [
			        1745000866.454139,
			        20,
			        3,
			        15
			    ],
			    [
			        1745000867.0269923,
			        20,
			        3,
			        15
			    ],
			    [
			        1745000868.5942018,
			        20,
			        4,
			        20
			    ],
			    [
			        1745000869.219363,
			        20,
			        4,
			        20
			    ],
			    [
			        1745000873.412209,
			        20,
			        3,
			        15
			    ],
			    [
			        1745000885.2749295,
			        20,
			        2,
			        10
			    ],
			    [
			        1745000885.3425777,
			        20,
			        2,
			        10
			    ],
			    [
			        1745001221.5255077,
			        20,
			        2,
			        10
			    ],
			    [
			        1745001221.9883788,
			        20,
			        2,
			        10
			    ],
			    [
			        1745001223.4370034,
			        20,
			        3,
			        15
			    ],
			    [
			        1745001224.113433,
			        20,
			        3,
			        15
			    ],
			    [
			        1745001228.5364025,
			        20,
			        2,
			        10
			    ],
			    [
			        1745001237.5894687,
			        20,
			        1,
			        5
			    ],
			    [
			        1745001237.8856432,
			        20,
			        1,
			        5
			    ],
			    [
			        1745001639.0771303,
			        20,
			        1,
			        5
			    ],
			    [
			        1745001639.4323738,
			        20,
			        1,
			        5
			    ],
			    [
			        1745001641.1212592,
			        20,
			        2,
			        10
			    ],
			    [
			        1745001641.8129127,
			        20,
			        2,
			        10
			    ],
			    [
			        1745001651.0007164,
			        20,
			        1,
			        5
			    ],
			    [
			        1745001651.0732296,
			        20,
			        1,
			        5
			    ],
			    [
			        1745002199.292517,
			        20,
			        1,
			        5
			    ],
			    [
			        1745002199.8498642,
			        20,
			        1,
			        5
			    ],
			    [
			        1745002203.087636,
			        20,
			        2,
			        10
			    ],
			    [
			        1745002203.791405,
			        20,
			        2,
			        10
			    ],
			    [
			        1745002213.1921659,
			        20,
			        1,
			        5
			    ],
			    [
			        1745002213.2963688,
			        20,
			        1,
			        5
			    ],
			    [
			        1745002622.9504633,
			        20,
			        1,
			        5
			    ],
			    [
			        1745002623.2892582,
			        20,
			        1,
			        5
			    ],
			    [
			        1745002626.1898465,
			        20,
			        2,
			        10
			    ],
			    [
			        1745002626.8151782,
			        20,
			        2,
			        10
			    ],
			    [
			        1745002635.745443,
			        20,
			        1,
			        5
			    ],
			    [
			        1745002635.8156672,
			        20,
			        1,
			        5
			    ],
			    [
			        1745003057.2568047,
			        20,
			        1,
			        5
			    ],
			    [
			        1745003057.6001234,
			        20,
			        1,
			        5
			    ],
			    [
			        1745003059.1098268,
			        20,
			        2,
			        10
			    ],
			    [
			        1745003059.602279,
			        20,
			        2,
			        10
			    ],
			    [
			        1745003067.032958,
			        20,
			        1,
			        5
			    ],
			    [
			        1745003067.1002197,
			        20,
			        1,
			        5
			    ],
			    [
			        1745003582.8555832,
			        20,
			        1,
			        5
			    ],
			    [
			        1745003583.2004707,
			        20,
			        1,
			        5
			    ],
			    [
			        1745003584.8691788,
			        20,
			        2,
			        10
			    ],
			    [
			        1745003585.5354183,
			        20,
			        2,
			        10
			    ],
			    [
			        1745003595.6340423,
			        20,
			        1,
			        5
			    ],
			    [
			        1745003595.7042565,
			        20,
			        1,
			        5
			    ],
			    [
			        1745004003.767855,
			        20,
			        1,
			        5
			    ],
			    [
			        1745004004.1453607,
			        20,
			        1,
			        5
			    ],
			    [
			        1745004005.9305542,
			        20,
			        2,
			        10
			    ],
			    [
			        1745004006.6524532,
			        20,
			        2,
			        10
			    ],
			    [
			        1745004017.4428096,
			        20,
			        1,
			        5
			    ],
			    [
			        1745004017.5357258,
			        20,
			        1,
			        5
			    ],
			    [
			        1745004470.348219,
			        20,
			        1,
			        5
			    ],
			    [
			        1745004470.9918232,
			        20,
			        1,
			        5
			    ],
			    [
			        1745004472.503686,
			        20,
			        2,
			        10
			    ],
			    [
			        1745004473.1711147,
			        20,
			        2,
			        10
			    ],
			    [
			        1745004482.587747,
			        20,
			        1,
			        5
			    ],
			    [
			        1745004482.659704,
			        20,
			        1,
			        5
			    ],
			    [
			        1745004955.4913127,
			        20,
			        1,
			        5
			    ],
			    [
			        1745004956.0036654,
			        20,
			        1,
			        5
			    ],
			    [
			        1745004957.4003296,
			        20,
			        2,
			        10
			    ],
			    [
			        1745004957.9466116,
			        20,
			        2,
			        10
			    ],
			    [
			        1745004965.8870728,
			        20,
			        1,
			        5
			    ],
			    [
			        1745004965.9446774,
			        20,
			        1,
			        5
			    ],
			    [
			        1745005256.7989862,
			        20,
			        1,
			        5
			    ],
			    [
			        1745005257.0704265,
			        20,
			        1,
			        5
			    ],
			    [
			        1745005259.4664364,
			        20,
			        2,
			        10
			    ],
			    [
			        1745005265.9077902,
			        20,
			        2,
			        10
			    ],
			    [
			        1745005527.982891,
			        20,
			        2,
			        10
			    ],
			    [
			        1745005528.2570555,
			        20,
			        2,
			        10
			    ],
			    [
			        1745005529.964575,
			        20,
			        3,
			        15
			    ],
			    [
			        1745005530.3894506,
			        20,
			        3,
			        15
			    ],
			    [
			        1745005538.7788675,
			        20,
			        2,
			        10
			    ],
			    [
			        1745005538.9152412,
			        20,
			        2,
			        10
			    ],
			    [
			        1745005858.3654976,
			        20,
			        2,
			        10
			    ],
			    [
			        1745005858.9561973,
			        20,
			        2,
			        10
			    ],
			    [
			        1745005860.2956264,
			        20,
			        3,
			        15
			    ],
			    [
			        1745005885.4082024,
			        20,
			        3,
			        15
			    ],
			    [
			        1745006125.3957403,
			        20,
			        3,
			        15
			    ],
			    [
			        1745006125.8932447,
			        20,
			        3,
			        15
			    ],
			    [
			        1745006127.2862504,
			        20,
			        4,
			        20
			    ],
			    [
			        1745006127.7201416,
			        20,
			        4,
			        20
			    ],
			    [
			        1745006130.458014,
			        20,
			        3,
			        15
			    ],
			    [
			        1745006139.120491,
			        20,
			        2,
			        10
			    ],
			    [
			        1745006139.1918068,
			        20,
			        2,
			        10
			    ],
			    [
			        1745006543.2415898,
			        20,
			        2,
			        10
			    ],
			    [
			        1745006543.4815035,
			        20,
			        2,
			        10
			    ],
			    [
			        1745006545.0011353,
			        20,
			        3,
			        15
			    ],
			    [
			        1745006545.4356139,
			        20,
			        3,
			        15
			    ],
			    [
			        1745006548.666569,
			        20,
			        2,
			        10
			    ],
			    [
			        1745006555.0886807,
			        20,
			        1,
			        5
			    ],
			    [
			        1745006555.2538626,
			        20,
			        1,
			        5
			    ],
			    [
			        1745006958.606532,
			        20,
			        1,
			        5
			    ],
			    [
			        1745006958.982913,
			        20,
			        1,
			        5
			    ],
			    [
			        1745006960.3664396,
			        20,
			        2,
			        10
			    ],
			    [
			        1745006960.821111,
			        20,
			        2,
			        10
			    ],
			    [
			        1745006967.893311,
			        20,
			        1,
			        5
			    ],
			    [
			        1745006967.9444025,
			        20,
			        1,
			        5
			    ],
			    [
			        1745007317.1250422,
			        20,
			        1,
			        5
			    ],
			    [
			        1745007317.427236,
			        20,
			        1,
			        5
			    ],
			    [
			        1745007319.0255358,
			        20,
			        2,
			        10
			    ],
			    [
			        1745007325.2103796,
			        20,
			        2,
			        10
			    ],
			    [
			        1745007332.9175196,
			        20,
			        2,
			        10
			    ],
			    [
			        1745007344.061154,
			        20,
			        2,
			        10
			    ],
			    [
			        1745007349.5723202,
			        20,
			        2,
			        10
			    ],
			    [
			        1745007356.0270026,
			        20,
			        1,
			        5
			    ],
			    [
			        1745007356.1140594,
			        20,
			        1,
			        5
			    ],
			    [
			        1745007365.4129324,
			        20,
			        1,
			        5
			    ],
			    [
			        1745007374.6886983,
			        20,
			        1,
			        5
			    ],
			    [
			        1745007383.9041054,
			        20,
			        1,
			        5
			    ],
			    [
			        1745007393.210906,
			        20,
			        1,
			        5
			    ],
			    [
			        1745007402.5070467,
			        20,
			        1,
			        5
			    ],
			    [
			        1745007411.837568,
			        20,
			        1,
			        5
			    ],
			    [
			        1745007421.1603956,
			        20,
			        1,
			        5
			    ],
			    [
			        1745007430.0078735,
			        20,
			        1,
			        5
			    ],
			    [
			        1745007439.3536677,
			        20,
			        1,
			        5
			    ],
			    [
			        1745007448.683798,
			        20,
			        1,
			        5
			    ],
			    [
			        1745007458.1745481,
			        20,
			        1,
			        5
			    ],
			    [
			        1745007467.52598,
			        20,
			        1,
			        5
			    ],
			    [
			        1745007476.366106,
			        20,
			        1,
			        5
			    ],
			    [
			        1745007485.6366546,
			        20,
			        1,
			        5
			    ],
			    [
			        1745007494.875763,
			        20,
			        1,
			        5
			    ],
			    [
			        1745007504.1266332,
			        20,
			        1,
			        5
			    ],
			    [
			        1745007512.932011,
			        20,
			        1,
			        5
			    ],
			    [
			        1745007522.1837776,
			        20,
			        1,
			        5
			    ],
			    [
			        1745007531.4562283,
			        20,
			        1,
			        5
			    ],
			    [
			        1745007540.7242343,
			        20,
			        1,
			        5
			    ],
			    [
			        1745007549.5377803,
			        20,
			        1,
			        5
			    ],
			    [
			        1745007558.8265505,
			        20,
			        1,
			        5
			    ],
			    [
			        1745007568.088226,
			        20,
			        1,
			        5
			    ],
			    [
			        1745007577.3888683,
			        20,
			        1,
			        5
			    ],
			    [
			        1745007586.2131028,
			        20,
			        1,
			        5
			    ],
			    [
			        1745007595.6057005,
			        20,
			        1,
			        5
			    ],
			    [
			        1745007604.871604,
			        20,
			        1,
			        5
			    ],
			    [
			        1745007614.129639,
			        20,
			        1,
			        5
			    ],
			    [
			        1745007622.959332,
			        20,
			        1,
			        5
			    ],
			    [
			        1745007632.2245767,
			        20,
			        1,
			        5
			    ],
			    [
			        1745007641.5485578,
			        20,
			        1,
			        5
			    ],
			    [
			        1745007650.8810022,
			        20,
			        1,
			        5
			    ],
			    [
			        1745007659.6976206,
			        20,
			        1,
			        5
			    ],
			    [
			        1745007669.0130439,
			        20,
			        1,
			        5
			    ],
			    [
			        1745007678.2575104,
			        20,
			        1,
			        5
			    ],
			    [
			        1745007687.122556,
			        20,
			        1,
			        5
			    ],
			    [
			        1745007696.3806796,
			        20,
			        1,
			        5
			    ],
			    [
			        1745007701.8185701,
			        20,
			        1,
			        5
			    ],
			    [
			        1745007706.5193942,
			        20,
			        0,
			        0
			    ],
			    [
			        1745007714.2449548,
			        20,
			        0,
			        0
			    ],
			    [
			        1745008002.1666222,
			        20,
			        0,
			        0
			    ],
			    [
			        1745008002.324474,
			        20,
			        0,
			        0
			    ],
			    [
			        1745008004.079873,
			        20,
			        1,
			        5
			    ],
			    [
			        1745008008.7131197,
			        20,
			        1,
			        5
			    ],
			    [
			        1745008290.2744427,
			        20,
			        1,
			        5
			    ],
			    [
			        1745008290.6195076,
			        20,
			        1,
			        5
			    ],
			    [
			        1745008292.0321453,
			        20,
			        2,
			        10
			    ],
			    [
			        1745008298.4521456,
			        20,
			        2,
			        10
			    ],
			    [
			        1745008634.5338612,
			        20,
			        2,
			        10
			    ],
			    [
			        1745008634.9348917,
			        20,
			        2,
			        10
			    ],
			    [
			        1745008636.3238034,
			        20,
			        3,
			        15
			    ],
			    [
			        1745008636.759793,
			        20,
			        3,
			        15
			    ],
			    [
			        1745008645.1565225,
			        20,
			        2,
			        10
			    ],
			    [
			        1745008645.3005967,
			        20,
			        2,
			        10
			    ],
			    [
			        1745009008.431092,
			        20,
			        2,
			        10
			    ],
			    [
			        1745009008.9032233,
			        20,
			        2,
			        10
			    ],
			    [
			        1745009010.2869973,
			        20,
			        3,
			        15
			    ],
			    [
			        1745009010.708509,
			        20,
			        3,
			        15
			    ],
			    [
			        1745009013.6945221,
			        20,
			        2,
			        10
			    ],
			    [
			        1745009020.435079,
			        20,
			        1,
			        5
			    ],
			    [
			        1745009020.876561,
			        20,
			        1,
			        5
			    ],
			    [
			        1745009384.5985863,
			        20,
			        1,
			        5
			    ],
			    [
			        1745009384.9539459,
			        20,
			        1,
			        5
			    ],
			    [
			        1745009386.3343394,
			        20,
			        2,
			        10
			    ],
			    [
			        1745009386.7450302,
			        20,
			        2,
			        10
			    ],
			    [
			        1745009393.893587,
			        20,
			        1,
			        5
			    ],
			    [
			        1745009393.951414,
			        20,
			        1,
			        5
			    ],
			    [
			        1745009723.5038314,
			        20,
			        1,
			        5
			    ],
			    [
			        1745009723.9409754,
			        20,
			        1,
			        5
			    ],
			    [
			        1745009725.2957094,
			        20,
			        2,
			        10
			    ],
			    [
			        1745009732.0465662,
			        20,
			        2,
			        10
			    ],
			    [
			        1745009971.1618817,
			        20,
			        2,
			        10
			    ],
			    [
			        1745009971.4239693,
			        20,
			        2,
			        10
			    ],
			    [
			        1745009972.9615285,
			        20,
			        3,
			        15
			    ],
			    [
			        1745009981.8283017,
			        20,
			        3,
			        15
			    ],
			    [
			        1745010317.7289627,
			        20,
			        3,
			        15
			    ],
			    [
			        1745010317.9701865,
			        20,
			        3,
			        15
			    ],
			    [
			        1745010319.373296,
			        20,
			        4,
			        20
			    ],
			    [
			        1745010319.8345551,
			        20,
			        4,
			        20
			    ],
			    [
			        1745010323.1861825,
			        20,
			        3,
			        15
			    ],
			    [
			        1745010331.9493275,
			        20,
			        2,
			        10
			    ],
			    [
			        1745010332.0127099,
			        20,
			        2,
			        10
			    ],
			    [
			        1745010571.17492,
			        20,
			        2,
			        10
			    ],
			    [
			        1745010571.3990812,
			        20,
			        2,
			        10
			    ],
			    [
			        1745010572.997428,
			        20,
			        3,
			        15
			    ],
			    [
			        1745010573.4317553,
			        20,
			        3,
			        15
			    ],
			    [
			        1745010582.260918,
			        20,
			        2,
			        10
			    ],
			    [
			        1745010582.3782914,
			        20,
			        2,
			        10
			    ],
			    [
			        1745010887.4524157,
			        20,
			        2,
			        10
			    ],
			    [
			        1745010887.9146152,
			        20,
			        2,
			        10
			    ],
			    [
			        1745010889.2798846,
			        20,
			        3,
			        15
			    ],
			    [
			        1745010889.760775,
			        20,
			        3,
			        15
			    ],
			    [
			        1745010893.1366868,
			        20,
			        2,
			        10
			    ],
			    [
			        1745010899.9795864,
			        20,
			        1,
			        5
			    ],
			    [
			        1745010900.153773,
			        20,
			        1,
			        5
			    ],
			    [
			        1745011127.2145858,
			        20,
			        1,
			        5
			    ],
			    [
			        1745011127.484409,
			        20,
			        1,
			        5
			    ],
			    [
			        1745011129.0104733,
			        20,
			        2,
			        10
			    ],
			    [
			        1745011135.8106058,
			        20,
			        2,
			        10
			    ],
			    [
			        1745011332.8861666,
			        20,
			        2,
			        10
			    ],
			    [
			        1745011333.123168,
			        20,
			        2,
			        10
			    ],
			    [
			        1745011334.7205782,
			        20,
			        3,
			        15
			    ],
			    [
			        1745011335.1493068,
			        20,
			        3,
			        15
			    ],
			    [
			        1745011344.2184856,
			        20,
			        2,
			        10
			    ],
			    [
			        1745011344.3519194,
			        20,
			        2,
			        10
			    ],
			    [
			        1745011708.5189164,
			        20,
			        2,
			        10
			    ],
			    [
			        1745011708.9322932,
			        20,
			        2,
			        10
			    ],
			    [
			        1745011710.3080173,
			        20,
			        3,
			        15
			    ],
			    [
			        1745011710.7930827,
			        20,
			        3,
			        15
			    ],
			    [
			        1745011714.1585321,
			        20,
			        2,
			        10
			    ],
			    [
			        1745011721.0398579,
			        20,
			        1,
			        5
			    ],
			    [
			        1745011721.1996505,
			        20,
			        1,
			        5
			    ],
			    [
			        1745012111.2733316,
			        20,
			        1,
			        5
			    ],
			    [
			        1745012111.603255,
			        20,
			        1,
			        5
			    ],
			    [
			        1745012113.0421703,
			        20,
			        2,
			        10
			    ],
			    [
			        1745012119.7995825,
			        20,
			        2,
			        10
			    ],
			    [
			        1745012436.5808623,
			        20,
			        2,
			        10
			    ],
			    [
			        1745012436.9101362,
			        20,
			        2,
			        10
			    ],
			    [
			        1745012438.2786486,
			        20,
			        3,
			        15
			    ],
			    [
			        1745012438.730335,
			        20,
			        3,
			        15
			    ],
			    [
			        1745012441.9400206,
			        20,
			        2,
			        10
			    ],
			    [
			        1745012449.422004,
			        20,
			        1,
			        5
			    ],
			    [
			        1745012449.8654523,
			        20,
			        1,
			        5
			    ],
			    [
			        1745012806.7251897,
			        20,
			        1,
			        5
			    ],
			    [
			        1745012807.0050998,
			        20,
			        1,
			        5
			    ],
			    [
			        1745012808.413718,
			        20,
			        2,
			        10
			    ],
			    [
			        1745012808.6593838,
			        20,
			        2,
			        10
			    ],
			    [
			        1745012816.2534988,
			        20,
			        1,
			        5
			    ],
			    [
			        1745012816.3455374,
			        20,
			        1,
			        5
			    ],
			    [
			        1745013180.3953726,
			        20,
			        1,
			        5
			    ],
			    [
			        1745013180.92754,
			        20,
			        1,
			        5
			    ],
			    [
			        1745013183.0215828,
			        20,
			        2,
			        10
			    ],
			    [
			        1745013183.5086052,
			        20,
			        2,
			        10
			    ],
			    [
			        1745013190.472349,
			        20,
			        1,
			        5
			    ],
			    [
			        1745013190.5605323,
			        20,
			        1,
			        5
			    ],
			    [
			        1745013527.842485,
			        20,
			        1,
			        5
			    ],
			    [
			        1745013528.1419928,
			        20,
			        1,
			        5
			    ],
			    [
			        1745013530.7413478,
			        20,
			        2,
			        10
			    ],
			    [
			        1745013531.1922255,
			        20,
			        2,
			        10
			    ],
			    [
			        1745013538.1691666,
			        20,
			        1,
			        5
			    ],
			    [
			        1745013538.2625623,
			        20,
			        1,
			        5
			    ],
			    [
			        1745013882.9676754,
			        20,
			        1,
			        5
			    ],
			    [
			        1745013883.2744105,
			        20,
			        1,
			        5
			    ],
			    [
			        1745013885.0085104,
			        20,
			        2,
			        10
			    ],
			    [
			        1745013885.4467995,
			        20,
			        2,
			        10
			    ],
			    [
			        1745013892.3719394,
			        20,
			        1,
			        5
			    ],
			    [
			        1745013892.440744,
			        20,
			        1,
			        5
			    ],
			    [
			        1745014295.6383457,
			        20,
			        1,
			        5
			    ],
			    [
			        1745014295.9616594,
			        20,
			        1,
			        5
			    ],
			    [
			        1745014297.359928,
			        20,
			        2,
			        10
			    ],
			    [
			        1745014297.7937927,
			        20,
			        2,
			        10
			    ],
			    [
			        1745014305.0111182,
			        20,
			        1,
			        5
			    ],
			    [
			        1745014305.115241,
			        20,
			        1,
			        5
			    ],
			    [
			        1745014311.187914,
			        20,
			        1,
			        5
			    ],
			    [
			        1745014320.444226,
			        20,
			        1,
			        5
			    ],
			    [
			        1745014330.320883,
			        20,
			        1,
			        5
			    ],
			    [
			        1745014339.554071,
			        20,
			        1,
			        5
			    ],
			    [
			        1745014349.08569,
			        20,
			        1,
			        5
			    ],
			    [
			        1745014358.4725425,
			        20,
			        1,
			        5
			    ],
			    [
			        1745014368.013908,
			        20,
			        1,
			        5
			    ],
			    [
			        1745014377.291871,
			        20,
			        1,
			        5
			    ],
			    [
			        1745014386.578401,
			        20,
			        1,
			        5
			    ],
			    [
			        1745014396.1486628,
			        20,
			        1,
			        5
			    ],
			    [
			        1745014405.4435449,
			        20,
			        1,
			        5
			    ],
			    [
			        1745014415.00216,
			        20,
			        1,
			        5
			    ],
			    [
			        1745014424.5886078,
			        20,
			        1,
			        5
			    ],
			    [
			        1745014434.2169154,
			        20,
			        1,
			        5
			    ],
			    [
			        1745014443.5135105,
			        20,
			        1,
			        5
			    ],
			    [
			        1745014452.8172832,
			        20,
			        1,
			        5
			    ],
			    [
			        1745014462.3632238,
			        20,
			        1,
			        5
			    ],
			    [
			        1745014471.6609883,
			        20,
			        1,
			        5
			    ],
			    [
			        1745014481.2625976,
			        20,
			        1,
			        5
			    ],
			    [
			        1745014490.603795,
			        20,
			        1,
			        5
			    ],
			    [
			        1745014499.8872538,
			        20,
			        1,
			        5
			    ],
			    [
			        1745014509.4548967,
			        20,
			        1,
			        5
			    ],
			    [
			        1745014518.7642667,
			        20,
			        1,
			        5
			    ],
			    [
			        1745014528.03313,
			        20,
			        1,
			        5
			    ],
			    [
			        1745014537.5679383,
			        20,
			        1,
			        5
			    ],
			    [
			        1745014546.8440535,
			        20,
			        1,
			        5
			    ],
			    [
			        1745014556.2363658,
			        20,
			        1,
			        5
			    ],
			    [
			        1745014565.7883458,
			        20,
			        1,
			        5
			    ],
			    [
			        1745014575.1098685,
			        20,
			        1,
			        5
			    ],
			    [
			        1745014584.382835,
			        20,
			        1,
			        5
			    ],
			    [
			        1745014593.9821072,
			        20,
			        1,
			        5
			    ],
			    [
			        1745014603.287616,
			        20,
			        1,
			        5
			    ],
			    [
			        1745014612.5217583,
			        20,
			        1,
			        5
			    ],
			    [
			        1745014621.783786,
			        20,
			        1,
			        5
			    ],
			    [
			        1745014631.4284608,
			        20,
			        1,
			        5
			    ],
			    [
			        1745014640.7970128,
			        20,
			        1,
			        5
			    ],
			    [
			        1745014646.2187219,
			        20,
			        1,
			        5
			    ],
			    [
			        1745014650.9854577,
			        20,
			        0,
			        0
			    ],
			    [
			        1745014659.0552373,
			        20,
			        0,
			        0
			    ],
			    [
			        1745015071.565022,
			        20,
			        0,
			        0
			    ],
			    [
			        1745015071.7407575,
			        20,
			        0,
			        0
			    ],
			    [
			        1745015073.122092,
			        20,
			        1,
			        5
			    ],
			    [
			        1745015078.803455,
			        20,
			        1,
			        5
			    ],
			    [
			        1745015446.8687248,
			        20,
			        1,
			        5
			    ],
			    [
			        1745015447.149524,
			        20,
			        1,
			        5
			    ],
			    [
			        1745015448.5964184,
			        20,
			        2,
			        10
			    ],
			    [
			        1745015455.7848134,
			        20,
			        2,
			        10
			    ],
			    [
			        1745015849.220514,
			        20,
			        2,
			        10
			    ],
			    [
			        1745015849.5001192,
			        20,
			        2,
			        10
			    ],
			    [
			        1745015851.0162141,
			        20,
			        3,
			        15
			    ],
			    [
			        1745015851.4689083,
			        20,
			        3,
			        15
			    ],
			    [
			        1745015855.2110417,
			        20,
			        2,
			        10
			    ],
			    [
			        1745015862.2858202,
			        20,
			        1,
			        5
			    ],
			    [
			        1745015862.514459,
			        20,
			        1,
			        5
			    ],
			    [
			        1745016158.7816997,
			        20,
			        1,
			        5
			    ],
			    [
			        1745016159.0768442,
			        20,
			        1,
			        5
			    ],
			    [
			        1745016160.44149,
			        20,
			        2,
			        10
			    ],
			    [
			        1745016167.5371258,
			        20,
			        2,
			        10
			    ],
			    [
			        1745016468.401276,
			        20,
			        2,
			        10
			    ],
			    [
			        1745016468.8945792,
			        20,
			        2,
			        10
			    ],
			    [
			        1745016470.2906182,
			        20,
			        3,
			        15
			    ],
			    [
			        1745016470.7464745,
			        20,
			        3,
			        15
			    ],
			    [
			        1745016480.6170504,
			        20,
			        2,
			        10
			    ],
			    [
			        1745016480.8346019,
			        20,
			        2,
			        10
			    ],
			    [
			        1745016849.256311,
			        20,
			        2,
			        10
			    ],
			    [
			        1745016849.49733,
			        20,
			        2,
			        10
			    ],
			    [
			        1745016851.0687308,
			        20,
			        3,
			        15
			    ],
			    [
			        1745016851.527398,
			        20,
			        3,
			        15
			    ],
			    [
			        1745016855.1699662,
			        20,
			        2,
			        10
			    ],
			    [
			        1745016862.5348408,
			        20,
			        1,
			        5
			    ],
			    [
			        1745016862.858089,
			        20,
			        1,
			        5
			    ],
			    [
			        1745017122.6524122,
			        20,
			        1,
			        5
			    ],
			    [
			        1745017122.9684052,
			        20,
			        1,
			        5
			    ],
			    [
			        1745017124.3815596,
			        20,
			        2,
			        10
			    ],
			    [
			        1745017131.3668852,
			        20,
			        2,
			        10
			    ],
			    [
			        1745017425.390913,
			        20,
			        2,
			        10
			    ],
			    [
			        1745017425.8834915,
			        20,
			        2,
			        10
			    ],
			    [
			        1745017427.2533815,
			        20,
			        3,
			        15
			    ],
			    [
			        1745017427.73051,
			        20,
			        3,
			        15
			    ],
			    [
			        1745017437.187372,
			        20,
			        2,
			        10
			    ],
			    [
			        1745017437.3183684,
			        20,
			        2,
			        10
			    ],
			    [
			        1745017742.3718982,
			        20,
			        2,
			        10
			    ],
			    [
			        1745017742.8905005,
			        20,
			        2,
			        10
			    ],
			    [
			        1745017744.971451,
			        20,
			        3,
			        15
			    ],
			    [
			        1745017745.3981948,
			        20,
			        3,
			        15
			    ],
			    [
			        1745017748.8331876,
			        20,
			        2,
			        10
			    ],
			    [
			        1745017756.2191036,
			        20,
			        1,
			        5
			    ],
			    [
			        1745017756.4086113,
			        20,
			        1,
			        5
			    ],
			    [
			        1745018019.7523549,
			        20,
			        1,
			        5
			    ],
			    [
			        1745018020.0534818,
			        20,
			        1,
			        5
			    ],
			    [
			        1745018021.449755,
			        20,
			        2,
			        10
			    ],
			    [
			        1745018028.8291807,
			        20,
			        2,
			        10
			    ],
			    [
			        1745018447.0952,
			        20,
			        2,
			        10
			    ],
			    [
			        1745018447.3984892,
			        20,
			        2,
			        10
			    ],
			    [
			        1745018449.0055087,
			        20,
			        3,
			        15
			    ],
			    [
			        1745018449.4417014,
			        20,
			        3,
			        15
			    ],
			    [
			        1745018452.4610872,
			        20,
			        2,
			        10
			    ],
			    [
			        1745018460.017585,
			        20,
			        1,
			        5
			    ],
			    [
			        1745018460.2014656,
			        20,
			        1,
			        5
			    ],
			    [
			        1745018790.3754482,
			        20,
			        1,
			        5
			    ],
			    [
			        1745018791.0304048,
			        20,
			        1,
			        5
			    ],
			    [
			        1745018792.4000094,
			        20,
			        2,
			        10
			    ],
			    [
			        1745018799.2306836,
			        20,
			        2,
			        10
			    ],
			    [
			        1745019108.3368835,
			        20,
			        2,
			        10
			    ],
			    [
			        1745019108.8943048,
			        20,
			        2,
			        10
			    ],
			    [
			        1745019110.2625186,
			        20,
			        3,
			        15
			    ],
			    [
			        1745019110.7584655,
			        20,
			        3,
			        15
			    ],
			    [
			        1745019120.0809443,
			        20,
			        2,
			        10
			    ],
			    [
			        1745019120.2206864,
			        20,
			        2,
			        10
			    ],
			    [
			        1745019506.204978,
			        20,
			        2,
			        10
			    ],
			    [
			        1745019506.5044231,
			        20,
			        2,
			        10
			    ],
			    [
			        1745019508.0250783,
			        20,
			        3,
			        15
			    ],
			    [
			        1745019508.4452255,
			        20,
			        3,
			        15
			    ],
			    [
			        1745019512.073475,
			        20,
			        2,
			        10
			    ],
			    [
			        1745019519.340885,
			        20,
			        1,
			        5
			    ],
			    [
			        1745019519.7917159,
			        20,
			        1,
			        5
			    ],
			    [
			        1745019837.696668,
			        20,
			        1,
			        5
			    ],
			    [
			        1745019837.9778833,
			        20,
			        1,
			        5
			    ],
			    [
			        1745019839.3519306,
			        20,
			        2,
			        10
			    ],
			    [
			        1745019846.2801216,
			        20,
			        2,
			        10
			    ],
			    [
			        1745020068.3158023,
			        20,
			        2,
			        10
			    ],
			    [
			        1745020068.8030133,
			        20,
			        2,
			        10
			    ],
			    [
			        1745020070.2166758,
			        20,
			        3,
			        15
			    ],
			    [
			        1745020070.7042723,
			        20,
			        3,
			        15
			    ],
			    [
			        1745020080.1149516,
			        20,
			        2,
			        10
			    ],
			    [
			        1745020080.2658079,
			        20,
			        2,
			        10
			    ],
			    [
			        1745020378.2398565,
			        20,
			        2,
			        10
			    ],
			    [
			        1745020378.467999,
			        20,
			        2,
			        10
			    ],
			    [
			        1745020380.0418856,
			        20,
			        3,
			        15
			    ],
			    [
			        1745020380.4916232,
			        20,
			        3,
			        15
			    ],
			    [
			        1745020383.6528492,
			        20,
			        2,
			        10
			    ],
			    [
			        1745020390.9679255,
			        20,
			        1,
			        5
			    ],
			    [
			        1745020391.1906312,
			        20,
			        1,
			        5
			    ],
			    [
			        1745020782.904256,
			        20,
			        1,
			        5
			    ],
			    [
			        1745020783.186738,
			        20,
			        1,
			        5
			    ],
			    [
			        1745020784.678041,
			        20,
			        2,
			        10
			    ],
			    [
			        1745020785.1378062,
			        20,
			        2,
			        10
			    ],
			    [
			        1745020792.6160536,
			        20,
			        1,
			        5
			    ],
			    [
			        1745020792.8662126,
			        20,
			        1,
			        5
			    ],
			    [
			        1745021069.5222015,
			        20,
			        1,
			        5
			    ],
			    [
			        1745021069.9625216,
			        20,
			        1,
			        5
			    ],
			    [
			        1745021071.3415253,
			        20,
			        2,
			        10
			    ],
			    [
			        1745021071.8012264,
			        20,
			        2,
			        10
			    ],
			    [
			        1745021079.363112,
			        20,
			        1,
			        5
			    ],
			    [
			        1745021079.440466,
			        20,
			        1,
			        5
			    ],
			    [
			        1745021422.158776,
			        20,
			        1,
			        5
			    ],
			    [
			        1745021422.4269347,
			        20,
			        1,
			        5
			    ],
			    [
			        1745021424.0176406,
			        20,
			        2,
			        10
			    ],
			    [
			        1745021424.465013,
			        20,
			        2,
			        10
			    ],
			    [
			        1745021432.2931504,
			        20,
			        1,
			        5
			    ],
			    [
			        1745021432.4448044,
			        20,
			        1,
			        5
			    ],
			    [
			        1745021438.3237727,
			        20,
			        1,
			        5
			    ],
			    [
			        1745021447.9272697,
			        20,
			        1,
			        5
			    ],
			    [
			        1745021457.5935555,
			        20,
			        1,
			        5
			    ],
			    [
			        1745021467.112861,
			        20,
			        1,
			        5
			    ],
			    [
			        1745021477.0345893,
			        20,
			        1,
			        5
			    ],
			    [
			        1745021486.8897972,
			        20,
			        1,
			        5
			    ],
			    [
			        1745021496.4732003,
			        20,
			        1,
			        5
			    ],
			    [
			        1745021506.0273216,
			        20,
			        1,
			        5
			    ],
			    [
			        1745021515.6248164,
			        20,
			        1,
			        5
			    ],
			    [
			        1745021525.169834,
			        20,
			        1,
			        5
			    ],
			    [
			        1745021534.7515662,
			        20,
			        1,
			        5
			    ],
			    [
			        1745021544.3274815,
			        20,
			        1,
			        5
			    ],
			    [
			        1745021553.9873679,
			        20,
			        1,
			        5
			    ],
			    [
			        1745021563.5464764,
			        20,
			        1,
			        5
			    ],
			    [
			        1745021573.1275468,
			        20,
			        1,
			        5
			    ],
			    [
			        1745021582.7685878,
			        20,
			        1,
			        5
			    ],
			    [
			        1745021592.3901975,
			        20,
			        1,
			        5
			    ],
			    [
			        1745021602.0535026,
			        20,
			        1,
			        5
			    ],
			    [
			        1745021611.7338824,
			        20,
			        1,
			        5
			    ],
			    [
			        1745021621.4004776,
			        20,
			        1,
			        5
			    ],
			    [
			        1745021626.8321493,
			        20,
			        1,
			        5
			    ],
			    [
			        1745021631.8977597,
			        20,
			        0,
			        0
			    ],
			    [
			        1745021640.5051146,
			        20,
			        0,
			        0
			    ],
			    [
			        1745021972.8996372,
			        20,
			        0,
			        0
			    ],
			    [
			        1745021973.0588534,
			        20,
			        0,
			        0
			    ],
			    [
			        1745021974.466892,
			        20,
			        1,
			        5
			    ],
			    [
			        1745021979.0762327,
			        20,
			        1,
			        5
			    ],
			    [
			        1745022254.9818022,
			        20,
			        1,
			        5
			    ],
			    [
			        1745022255.275726,
			        20,
			        1,
			        5
			    ],
			    [
			        1745022257.036084,
			        20,
			        2,
			        10
			    ],
			    [
			        1745022263.8972523,
			        20,
			        2,
			        10
			    ],
			    [
			        1745022553.3539815,
			        20,
			        2,
			        10
			    ],
			    [
			        1745022553.8648527,
			        20,
			        2,
			        10
			    ],
			    [
			        1745022555.2710087,
			        20,
			        3,
			        15
			    ],
			    [
			        1745022558.1465106,
			        20,
			        3,
			        15
			    ],
			    [
			        1745022565.9537148,
			        20,
			        2,
			        10
			    ],
			    [
			        1745022566.1255631,
			        20,
			        2,
			        10
			    ],
			    [
			        1745022878.5342455,
			        20,
			        2,
			        10
			    ],
			    [
			        1745022878.9621258,
			        20,
			        2,
			        10
			    ],
			    [
			        1745022880.3782067,
			        20,
			        3,
			        15
			    ],
			    [
			        1745022880.8668547,
			        20,
			        3,
			        15
			    ],
			    [
			        1745022883.9806092,
			        20,
			        2,
			        10
			    ],
			    [
			        1745022891.9039316,
			        20,
			        1,
			        5
			    ],
			    [
			        1745022892.0768082,
			        20,
			        1,
			        5
			    ],
			    [
			        1745023273.2329469,
			        20,
			        1,
			        5
			    ],
			    [
			        1745023273.5304372,
			        20,
			        1,
			        5
			    ],
			    [
			        1745023275.0281167,
			        20,
			        2,
			        10
			    ],
			    [
			        1745023275.4979541,
			        20,
			        2,
			        10
			    ],
			    [
			        1745023283.999444,
			        20,
			        1,
			        5
			    ],
			    [
			        1745023284.0850196,
			        20,
			        1,
			        5
			    ],
			    [
			        1745023598.0751085,
			        20,
			        1,
			        5
			    ],
			    [
			        1745023598.3511364,
			        20,
			        1,
			        5
			    ],
			    [
			        1745023600.0318792,
			        20,
			        2,
			        10
			    ],
			    [
			        1745023600.467264,
			        20,
			        2,
			        10
			    ],
			    [
			        1745023608.373126,
			        20,
			        1,
			        5
			    ],
			    [
			        1745023608.4311507,
			        20,
			        1,
			        5
			    ],
			    [
			        1745023960.9055004,
			        20,
			        1,
			        5
			    ],
			    [
			        1745023961.2404478,
			        20,
			        1,
			        5
			    ],
			    [
			        1745023962.9637234,
			        20,
			        2,
			        10
			    ],
			    [
			        1745023963.4275212,
			        20,
			        2,
			        10
			    ],
			    [
			        1745023971.2786026,
			        20,
			        1,
			        5
			    ],
			    [
			        1745023971.3376114,
			        20,
			        1,
			        5
			    ],
			    [
			        1745024248.368611,
			        20,
			        1,
			        5
			    ],
			    [
			        1745024248.9740927,
			        20,
			        1,
			        5
			    ],
			    [
			        1745024250.3392775,
			        20,
			        2,
			        10
			    ],
			    [
			        1745024250.779902,
			        20,
			        2,
			        10
			    ],
			    [
			        1745024258.8309784,
			        20,
			        1,
			        5
			    ],
			    [
			        1745024258.9323688,
			        20,
			        1,
			        5
			    ],
			    [
			        1745024697.6271548,
			        20,
			        1,
			        5
			    ],
			    [
			        1745024697.9662182,
			        20,
			        1,
			        5
			    ],
			    [
			        1745024699.3493319,
			        20,
			        2,
			        10
			    ],
			    [
			        1745024699.8114905,
			        20,
			        2,
			        10
			    ],
			    [
			        1745024707.469153,
			        20,
			        1,
			        5
			    ],
			    [
			        1745024707.5257723,
			        20,
			        1,
			        5
			    ],
			    [
			        1745025139.2378395,
			        20,
			        1,
			        5
			    ],
			    [
			        1745025139.5228024,
			        20,
			        1,
			        5
			    ],
			    [
			        1745025141.0325367,
			        20,
			        2,
			        10
			    ],
			    [
			        1745025141.4774566,
			        20,
			        2,
			        10
			    ],
			    [
			        1745025148.9897792,
			        20,
			        1,
			        5
			    ],
			    [
			        1745025149.1537008,
			        20,
			        1,
			        5
			    ],
			    [
			        1745025495.1064515,
			        20,
			        1,
			        5
			    ],
			    [
			        1745025496.4288774,
			        20,
			        1,
			        5
			    ],
			    [
			        1745025498.0162506,
			        20,
			        2,
			        10
			    ],
			    [
			        1745025498.4596326,
			        20,
			        2,
			        10
			    ],
			    [
			        1745025505.7642388,
			        20,
			        1,
			        5
			    ],
			    [
			        1745025505.9296858,
			        20,
			        1,
			        5
			    ],
			    [
			        1745025946.5438712,
			        20,
			        1,
			        5
			    ],
			    [
			        1745025946.9424841,
			        20,
			        1,
			        5
			    ],
			    [
			        1745025948.3801203,
			        20,
			        2,
			        10
			    ],
			    [
			        1745025948.8100877,
			        20,
			        2,
			        10
			    ],
			    [
			        1745025956.4354029,
			        20,
			        1,
			        5
			    ],
			    [
			        1745025956.4934263,
			        20,
			        1,
			        5
			    ],
			    [
			        1745026332.915554,
			        20,
			        1,
			        5
			    ],
			    [
			        1745026333.1828434,
			        20,
			        1,
			        5
			    ],
			    [
			        1745026334.6861067,
			        20,
			        2,
			        10
			    ],
			    [
			        1745026335.1840763,
			        20,
			        2,
			        10
			    ],
			    [
			        1745026342.5407162,
			        20,
			        1,
			        5
			    ],
			    [
			        1745026342.598281,
			        20,
			        1,
			        5
			    ],
			    [
			        1745026715.9045076,
			        20,
			        1,
			        5
			    ],
			    [
			        1745026716.1832662,
			        20,
			        1,
			        5
			    ],
			    [
			        1745026717.606596,
			        20,
			        2,
			        10
			    ],
			    [
			        1745026718.0968819,
			        20,
			        2,
			        10
			    ],
			    [
			        1745026725.520088,
			        20,
			        1,
			        5
			    ],
			    [
			        1745026725.8504167,
			        20,
			        1,
			        5
			    ],
			    [
			        1745027161.251452,
			        20,
			        1,
			        5
			    ],
			    [
			        1745027161.5539095,
			        20,
			        1,
			        5
			    ],
			    [
			        1745027163.0338216,
			        20,
			        2,
			        10
			    ],
			    [
			        1745027163.5612483,
			        20,
			        2,
			        10
			    ],
			    [
			        1745027171.9587083,
			        20,
			        1,
			        5
			    ],
			    [
			        1745027172.0269582,
			        20,
			        1,
			        5
			    ],
			    [
			        1745027558.4597414,
			        20,
			        1,
			        5
			    ],
			    [
			        1745027558.9486396,
			        20,
			        1,
			        5
			    ],
			    [
			        1745027560.3202555,
			        20,
			        2,
			        10
			    ],
			    [
			        1745027560.8087058,
			        20,
			        2,
			        10
			    ],
			    [
			        1745027568.354696,
			        20,
			        1,
			        5
			    ],
			    [
			        1745027568.4182224,
			        20,
			        1,
			        5
			    ],
			    [
			        1745027886.8684926,
			        20,
			        1,
			        5
			    ],
			    [
			        1745027887.1655002,
			        20,
			        1,
			        5
			    ],
			    [
			        1745027888.6673295,
			        20,
			        2,
			        10
			    ],
			    [
			        1745027889.1154253,
			        20,
			        2,
			        10
			    ],
			    [
			        1745027896.5729032,
			        20,
			        1,
			        5
			    ],
			    [
			        1745027896.852435,
			        20,
			        1,
			        5
			    ],
			    [
			        1745028411.4391413,
			        20,
			        1,
			        5
			    ],
			    [
			        1745028412.1313736,
			        20,
			        1,
			        5
			    ],
			    [
			        1745028413.6918814,
			        20,
			        2,
			        10
			    ],
			    [
			        1745028414.5761466,
			        20,
			        2,
			        10
			    ],
			    [
			        1745028423.6406121,
			        20,
			        1,
			        5
			    ],
			    [
			        1745028423.701695,
			        20,
			        1,
			        5
			    ],
			    [
			        1745028851.0309522,
			        20,
			        1,
			        5
			    ],
			    [
			        1745028851.4560206,
			        20,
			        1,
			        5
			    ],
			    [
			        1745028853.1689894,
			        20,
			        2,
			        10
			    ],
			    [
			        1745028854.0942833,
			        20,
			        2,
			        10
			    ],
			    [
			        1745028863.8437724,
			        20,
			        1,
			        5
			    ],
			    [
			        1745028863.9239318,
			        20,
			        1,
			        5
			    ],
			    [
			        1745029406.2620075,
			        20,
			        1,
			        5
			    ],
			    [
			        1745029406.5863278,
			        20,
			        1,
			        5
			    ],
			    [
			        1745029408.010592,
			        20,
			        2,
			        10
			    ],
			    [
			        1745029408.4301355,
			        20,
			        2,
			        10
			    ],
			    [
			        1745029416.4525785,
			        20,
			        1,
			        5
			    ],
			    [
			        1745029416.5583618,
			        20,
			        1,
			        5
			    ],
			    [
			        1745029422.79296,
			        20,
			        1,
			        5
			    ],
			    [
			        1745029433.3877783,
			        20,
			        1,
			        5
			    ],
			    [
			        1745029444.569612,
			        20,
			        1,
			        5
			    ],
			    [
			        1745029454.3536985,
			        20,
			        1,
			        5
			    ],
			    [
			        1745029464.6897082,
			        20,
			        1,
			        5
			    ],
			    [
			        1745029474.880789,
			        20,
			        1,
			        5
			    ],
			    [
			        1745029484.6750824,
			        20,
			        1,
			        5
			    ],
			    [
			        1745029494.4949627,
			        20,
			        1,
			        5
			    ],
			    [
			        1745029504.312084,
			        20,
			        1,
			        5
			    ],
			    [
			        1745029514.6376004,
			        20,
			        1,
			        5
			    ],
			    [
			        1745029525.04882,
			        20,
			        1,
			        5
			    ],
			    [
			        1745029535.4663363,
			        20,
			        1,
			        5
			    ],
			    [
			        1745029545.3595963,
			        20,
			        1,
			        5
			    ],
			    [
			        1745029554.6954248,
			        20,
			        1,
			        5
			    ],
			    [
			        1745029564.659713,
			        20,
			        1,
			        5
			    ],
			    [
			        1745029574.6259022,
			        20,
			        1,
			        5
			    ],
			    [
			        1745029584.7034106,
			        20,
			        1,
			        5
			    ],
			    [
			        1745029594.7011588,
			        20,
			        1,
			        5
			    ],
			    [
			        1745029605.4476247,
			        20,
			        1,
			        5
			    ],
			    [
			        1745029615.8251562,
			        20,
			        1,
			        5
			    ],
			    [
			        1745029625.174459,
			        20,
			        1,
			        5
			    ],
			    [
			        1745029634.928767,
			        20,
			        1,
			        5
			    ],
			    [
			        1745029644.6914325,
			        20,
			        1,
			        5
			    ],
			    [
			        1745029654.4634762,
			        20,
			        1,
			        5
			    ],
			    [
			        1745029664.2570064,
			        20,
			        1,
			        5
			    ],
			    [
			        1745029674.112658,
			        20,
			        1,
			        5
			    ],
			    [
			        1745029684.191209,
			        20,
			        1,
			        5
			    ],
			    [
			        1745029694.8252232,
			        20,
			        1,
			        5
			    ],
			    [
			        1745029704.716156,
			        20,
			        1,
			        5
			    ],
			    [
			        1745029715.0900574,
			        20,
			        1,
			        5
			    ],
			    [
			        1745029725.1211138,
			        20,
			        1,
			        5
			    ],
			    [
			        1745029730.5389965,
			        20,
			        1,
			        5
			    ],
			    [
			        1745029736.098703,
			        20,
			        0,
			        0
			    ],
			    [
			        1745029744.5836656,
			        20,
			        0,
			        0
			    ],
			    [
			        1745030086.1714144,
			        20,
			        0,
			        0
			    ],
			    [
			        1745030086.3483768,
			        20,
			        0,
			        0
			    ],
			    [
			        1745030088.0006115,
			        20,
			        1,
			        5
			    ],
			    [
			        1745030092.5522115,
			        20,
			        1,
			        5
			    ],
			    [
			        1745030418.5663855,
			        20,
			        1,
			        5
			    ],
			    [
			        1745030418.9469578,
			        20,
			        1,
			        5
			    ],
			    [
			        1745030421.4030418,
			        20,
			        2,
			        10
			    ],
			    [
			        1745030421.8551235,
			        20,
			        2,
			        10
			    ],
			    [
			        1745030429.5675669,
			        20,
			        1,
			        5
			    ],
			    [
			        1745030429.6390953,
			        20,
			        1,
			        5
			    ],
			    [
			        1745030843.790197,
			        20,
			        1,
			        5
			    ],
			    [
			        1745030844.0659661,
			        20,
			        1,
			        5
			    ],
			    [
			        1745030845.4313948,
			        20,
			        2,
			        10
			    ],
			    [
			        1745030845.8601,
			        20,
			        2,
			        10
			    ],
			    [
			        1745030853.5212557,
			        20,
			        1,
			        5
			    ],
			    [
			        1745030853.8637624,
			        20,
			        1,
			        5
			    ],
			    [
			        1745031337.172482,
			        20,
			        1,
			        5
			    ],
			    [
			        1745031337.45292,
			        20,
			        1,
			        5
			    ],
			    [
			        1745031339.0059109,
			        20,
			        2,
			        10
			    ],
			    [
			        1745031339.4333987,
			        20,
			        2,
			        10
			    ],
			    [
			        1745031347.6237812,
			        20,
			        1,
			        5
			    ],
			    [
			        1745031347.6892743,
			        20,
			        1,
			        5
			    ],
			    [
			        1745031765.5077333,
			        20,
			        1,
			        5
			    ],
			    [
			        1745031765.975177,
			        20,
			        1,
			        5
			    ],
			    [
			        1745031767.3447032,
			        20,
			        2,
			        10
			    ],
			    [
			        1745031767.8834338,
			        20,
			        2,
			        10
			    ],
			    [
			        1745031775.5988605,
			        20,
			        1,
			        5
			    ],
			    [
			        1745031775.8644667,
			        20,
			        1,
			        5
			    ],
			    [
			        1745032275.281089,
			        20,
			        1,
			        5
			    ],
			    [
			        1745032275.7838507,
			        20,
			        1,
			        5
			    ],
			    [
			        1745032278.2867775,
			        20,
			        2,
			        10
			    ],
			    [
			        1745032286.8041189,
			        20,
			        2,
			        10
			    ],
			    [
			        1745032657.2324429,
			        20,
			        2,
			        10
			    ],
			    [
			        1745032657.468919,
			        20,
			        2,
			        10
			    ],
			    [
			        1745032659.0424092,
			        20,
			        3,
			        15
			    ],
			    [
			        1745032659.496552,
			        20,
			        3,
			        15
			    ],
			    [
			        1745032663.2449043,
			        20,
			        2,
			        10
			    ],
			    [
			        1745032670.7792397,
			        20,
			        1,
			        5
			    ],
			    [
			        1745032670.9458423,
			        20,
			        1,
			        5
			    ],
			    [
			        1745033017.614958,
			        20,
			        1,
			        5
			    ],
			    [
			        1745033017.9504368,
			        20,
			        1,
			        5
			    ],
			    [
			        1745033020.3948631,
			        20,
			        2,
			        10
			    ],
			    [
			        1745033020.8595653,
			        20,
			        2,
			        10
			    ],
			    [
			        1745033029.089988,
			        20,
			        1,
			        5
			    ],
			    [
			        1745033029.1489794,
			        20,
			        1,
			        5
			    ],
			    [
			        1745033449.8853931,
			        20,
			        1,
			        5
			    ],
			    [
			        1745033450.1791658,
			        20,
			        1,
			        5
			    ],
			    [
			        1745033451.5832372,
			        20,
			        2,
			        10
			    ],
			    [
			        1745033452.041091,
			        20,
			        2,
			        10
			    ],
			    [
			        1745033459.7943552,
			        20,
			        1,
			        5
			    ],
			    [
			        1745033459.9613822,
			        20,
			        1,
			        5
			    ],
			    [
			        1745033914.8109214,
			        20,
			        1,
			        5
			    ],
			    [
			        1745033915.0856402,
			        20,
			        1,
			        5
			    ],
			    [
			        1745033916.4936671,
			        20,
			        2,
			        10
			    ],
			    [
			        1745033916.9758623,
			        20,
			        2,
			        10
			    ],
			    [
			        1745033925.208644,
			        20,
			        1,
			        5
			    ],
			    [
			        1745033925.2742815,
			        20,
			        1,
			        5
			    ],
			    [
			        1745034270.9801853,
			        20,
			        1,
			        5
			    ],
			    [
			        1745034271.3375373,
			        20,
			        1,
			        5
			    ],
			    [
			        1745034273.0628192,
			        20,
			        2,
			        10
			    ],
			    [
			        1745034273.4981823,
			        20,
			        2,
			        10
			    ],
			    [
			        1745034281.1386995,
			        20,
			        1,
			        5
			    ],
			    [
			        1745034281.2984104,
			        20,
			        1,
			        5
			    ],
			    [
			        1745034597.3098495,
			        20,
			        1,
			        5
			    ],
			    [
			        1745034597.79892,
			        20,
			        1,
			        5
			    ],
			    [
			        1745034599.2253094,
			        20,
			        2,
			        10
			    ],
			    [
			        1745034599.6448996,
			        20,
			        2,
			        10
			    ],
			    [
			        1745034607.4557247,
			        20,
			        1,
			        5
			    ],
			    [
			        1745034607.5204315,
			        20,
			        1,
			        5
			    ],
			    [
			        1745035026.9017918,
			        20,
			        1,
			        5
			    ],
			    [
			        1745035027.1820164,
			        20,
			        1,
			        5
			    ],
			    [
			        1745035028.6608655,
			        20,
			        2,
			        10
			    ],
			    [
			        1745035029.1059105,
			        20,
			        2,
			        10
			    ],
			    [
			        1745035036.877878,
			        20,
			        1,
			        5
			    ],
			    [
			        1745035037.0559394,
			        20,
			        1,
			        5
			    ],
			    [
			        1745035380.4232266,
			        20,
			        1,
			        5
			    ],
			    [
			        1745035381.1341276,
			        20,
			        1,
			        5
			    ],
			    [
			        1745035382.5596492,
			        20,
			        2,
			        10
			    ],
			    [
			        1745035383.0016725,
			        20,
			        2,
			        10
			    ],
			    [
			        1745035391.0757604,
			        20,
			        1,
			        5
			    ],
			    [
			        1745035391.1473324,
			        20,
			        1,
			        5
			    ],
			    [
			        1745035788.9060285,
			        20,
			        1,
			        5
			    ],
			    [
			        1745035789.1790261,
			        20,
			        1,
			        5
			    ],
			    [
			        1745035790.6122744,
			        20,
			        2,
			        10
			    ],
			    [
			        1745035791.122863,
			        20,
			        2,
			        10
			    ],
			    [
			        1745035799.6810195,
			        20,
			        1,
			        5
			    ],
			    [
			        1745035799.7499518,
			        20,
			        1,
			        5
			    ],
			    [
			        1745036210.6604037,
			        20,
			        1,
			        5
			    ],
			    [
			        1745036210.968883,
			        20,
			        1,
			        5
			    ],
			    [
			        1745036212.3415344,
			        20,
			        2,
			        10
			    ],
			    [
			        1745036212.8135562,
			        20,
			        2,
			        10
			    ],
			    [
			        1745036220.7217681,
			        20,
			        1,
			        5
			    ],
			    [
			        1745036220.8823566,
			        20,
			        1,
			        5
			    ],
			    [
			        1745036676.7055683,
			        20,
			        1,
			        5
			    ],
			    [
			        1745036676.9756587,
			        20,
			        1,
			        5
			    ],
			    [
			        1745036678.661156,
			        20,
			        2,
			        10
			    ],
			    [
			        1745036679.2187202,
			        20,
			        2,
			        10
			    ],
			    [
			        1745036687.1907814,
			        20,
			        1,
			        5
			    ],
			    [
			        1745036687.2745688,
			        20,
			        1,
			        5
			    ],
			    [
			        1745037082.0403786,
			        20,
			        1,
			        5
			    ],
			    [
			        1745037082.3789387,
			        20,
			        1,
			        5
			    ],
			    [
			        1745037084.043361,
			        20,
			        2,
			        10
			    ],
			    [
			        1745037084.618512,
			        20,
			        2,
			        10
			    ],
			    [
			        1745037092.4383178,
			        20,
			        1,
			        5
			    ],
			    [
			        1745037092.500543,
			        20,
			        1,
			        5
			    ],
			    [
			        1745037439.4594579,
			        20,
			        1,
			        5
			    ],
			    [
			        1745037439.9592118,
			        20,
			        1,
			        5
			    ],
			    [
			        1745037442.4021964,
			        20,
			        2,
			        10
			    ],
			    [
			        1745037442.9066153,
			        20,
			        2,
			        10
			    ],
			    [
			        1745037451.0837977,
			        20,
			        1,
			        5
			    ],
			    [
			        1745037451.1452281,
			        20,
			        1,
			        5
			    ],
			    [
			        1745037945.5545099,
			        20,
			        1,
			        5
			    ],
			    [
			        1745037945.975592,
			        20,
			        1,
			        5
			    ],
			    [
			        1745037947.4523175,
			        20,
			        2,
			        10
			    ],
			    [
			        1745037947.8563247,
			        20,
			        2,
			        10
			    ],
			    [
			        1745037955.7721415,
			        20,
			        1,
			        5
			    ],
			    [
			        1745037955.8978922,
			        20,
			        1,
			        5
			    ],
			    [
			        1745037962.212309,
			        20,
			        1,
			        5
			    ],
			    [
			        1745037972.4982517,
			        20,
			        1,
			        5
			    ],
			    [
			        1745037982.6282394,
			        20,
			        1,
			        5
			    ],
			    [
			        1745037992.8959906,
			        20,
			        1,
			        5
			    ],
			    [
			        1745038002.7745392,
			        20,
			        1,
			        5
			    ],
			    [
			        1745038012.8332026,
			        20,
			        1,
			        5
			    ],
			    [
			        1745038022.916255,
			        20,
			        1,
			        5
			    ],
			    [
			        1745038032.9041092,
			        20,
			        1,
			        5
			    ],
			    [
			        1745038042.9867058,
			        20,
			        1,
			        5
			    ],
			    [
			        1745038052.7318149,
			        20,
			        1,
			        5
			    ],
			    [
			        1745038062.7138987,
			        20,
			        1,
			        5
			    ],
			    [
			        1745038072.7645211,
			        20,
			        1,
			        5
			    ],
			    [
			        1745038082.8172703,
			        20,
			        1,
			        5
			    ],
			    [
			        1745038092.6703753,
			        20,
			        1,
			        5
			    ],
			    [
			        1745038102.8430085,
			        20,
			        1,
			        5
			    ],
			    [
			        1745038113.1252146,
			        20,
			        1,
			        5
			    ],
			    [
			        1745038123.028487,
			        20,
			        1,
			        5
			    ],
			    [
			        1745038133.2768958,
			        20,
			        1,
			        5
			    ],
			    [
			        1745038143.854016,
			        20,
			        1,
			        5
			    ],
			    [
			        1745038153.7673168,
			        20,
			        1,
			        5
			    ],
			    [
			        1745038163.817298,
			        20,
			        1,
			        5
			    ],
			    [
			        1745038169.2294297,
			        20,
			        1,
			        5
			    ],
			    [
			        1745038174.8553512,
			        20,
			        0,
			        0
			    ],
			    [
			        1745038183.2909064,
			        20,
			        0,
			        0
			    ],
			    [
			        1745038609.6073177,
			        20,
			        0,
			        0
			    ],
			    [
			        1745038609.7968235,
			        20,
			        0,
			        0
			    ],
			    [
			        1745038611.1829789,
			        20,
			        1,
			        5
			    ],
			    [
			        1745038616.0494444,
			        20,
			        1,
			        5
			    ],
			    [
			        1745039003.0976195,
			        20,
			        1,
			        5
			    ],
			    [
			        1745039003.409783,
			        20,
			        1,
			        5
			    ],
			    [
			        1745039005.05333,
			        20,
			        2,
			        10
			    ],
			    [
			        1745039005.5543828,
			        20,
			        2,
			        10
			    ],
			    [
			        1745039013.784638,
			        20,
			        1,
			        5
			    ],
			    [
			        1745039013.8565445,
			        20,
			        1,
			        5
			    ],
			    [
			        1745039357.7911584,
			        20,
			        1,
			        5
			    ],
			    [
			        1745039358.0573773,
			        20,
			        1,
			        5
			    ],
			    [
			        1745039359.4306216,
			        20,
			        2,
			        10
			    ],
			    [
			        1745039359.8784173,
			        20,
			        2,
			        10
			    ],
			    [
			        1745039367.6274748,
			        20,
			        1,
			        5
			    ],
			    [
			        1745039367.701993,
			        20,
			        1,
			        5
			    ],
			    [
			        1745039718.9231915,
			        20,
			        1,
			        5
			    ],
			    [
			        1745039719.2320738,
			        20,
			        1,
			        5
			    ],
			    [
			        1745039720.9001102,
			        20,
			        2,
			        10
			    ],
			    [
			        1745039721.4731228,
			        20,
			        2,
			        10
			    ],
			    [
			        1745039729.9639027,
			        20,
			        1,
			        5
			    ],
			    [
			        1745039730.0349903,
			        20,
			        1,
			        5
			    ],
			    [
			        1745040044.679559,
			        20,
			        1,
			        5
			    ],
			    [
			        1745040044.9567952,
			        20,
			        1,
			        5
			    ],
			    [
			        1745040046.3369162,
			        20,
			        2,
			        10
			    ],
			    [
			        1745040053.8135798,
			        20,
			        2,
			        10
			    ],
			    [
			        1745040427.5314107,
			        20,
			        2,
			        10
			    ],
			    [
			        1745040427.9174004,
			        20,
			        2,
			        10
			    ],
			    [
			        1745040429.2615788,
			        20,
			        3,
			        15
			    ],
			    [
			        1745040429.6890264,
			        20,
			        3,
			        15
			    ],
			    [
			        1745040433.225704,
			        20,
			        2,
			        10
			    ],
			    [
			        1745040441.0522826,
			        20,
			        1,
			        5
			    ],
			    [
			        1745040441.2156427,
			        20,
			        1,
			        5
			    ],
			    [
			        1745040837.872101,
			        20,
			        1,
			        5
			    ],
			    [
			        1745040838.1896846,
			        20,
			        1,
			        5
			    ],
			    [
			        1745040839.6216607,
			        20,
			        2,
			        10
			    ],
			    [
			        1745040840.077012,
			        20,
			        2,
			        10
			    ],
			    [
			        1745040848.171004,
			        20,
			        1,
			        5
			    ],
			    [
			        1745040848.2368515,
			        20,
			        1,
			        5
			    ],
			    [
			        1745041203.0318177,
			        20,
			        1,
			        5
			    ],
			    [
			        1745041203.3084128,
			        20,
			        1,
			        5
			    ],
			    [
			        1745041205.009621,
			        20,
			        2,
			        10
			    ],
			    [
			        1745041205.4311278,
			        20,
			        2,
			        10
			    ],
			    [
			        1745041213.8797042,
			        20,
			        1,
			        5
			    ],
			    [
			        1745041214.0509274,
			        20,
			        1,
			        5
			    ],
			    [
			        1745041622.0619414,
			        20,
			        1,
			        5
			    ],
			    [
			        1745041622.331972,
			        20,
			        1,
			        5
			    ],
			    [
			        1745041624.0389128,
			        20,
			        2,
			        10
			    ],
			    [
			        1745041624.482933,
			        20,
			        2,
			        10
			    ],
			    [
			        1745041632.670809,
			        20,
			        1,
			        5
			    ],
			    [
			        1745041632.7274144,
			        20,
			        1,
			        5
			    ],
			    [
			        1745041979.5616722,
			        20,
			        1,
			        5
			    ],
			    [
			        1745041979.957613,
			        20,
			        1,
			        5
			    ],
			    [
			        1745041981.3715734,
			        20,
			        2,
			        10
			    ],
			    [
			        1745041981.8268752,
			        20,
			        2,
			        10
			    ],
			    [
			        1745041990.1927762,
			        20,
			        1,
			        5
			    ],
			    [
			        1745041990.3524907,
			        20,
			        1,
			        5
			    ],
			    [
			        1745042484.9717598,
			        20,
			        1,
			        5
			    ],
			    [
			        1745042486.3099508,
			        20,
			        1,
			        5
			    ],
			    [
			        1745042488.01006,
			        20,
			        2,
			        10
			    ],
			    [
			        1745042488.4416533,
			        20,
			        2,
			        10
			    ],
			    [
			        1745042496.818734,
			        20,
			        1,
			        5
			    ],
			    [
			        1745042497.2190013,
			        20,
			        1,
			        5
			    ],
			    [
			        1745042962.6956158,
			        20,
			        1,
			        5
			    ],
			    [
			        1745042962.9615338,
			        20,
			        1,
			        5
			    ],
			    [
			        1745042964.328407,
			        20,
			        2,
			        10
			    ],
			    [
			        1745042964.749207,
			        20,
			        2,
			        10
			    ],
			    [
			        1745042972.7228534,
			        20,
			        1,
			        5
			    ],
			    [
			        1745042972.7841465,
			        20,
			        1,
			        5
			    ],
			    [
			        1745043406.5084567,
			        20,
			        1,
			        5
			    ],
			    [
			        1745043407.110928,
			        20,
			        1,
			        5
			    ],
			    [
			        1745043408.4678314,
			        20,
			        2,
			        10
			    ],
			    [
			        1745043408.9237592,
			        20,
			        2,
			        10
			    ],
			    [
			        1745043417.2693772,
			        20,
			        1,
			        5
			    ],
			    [
			        1745043417.332706,
			        20,
			        1,
			        5
			    ],
			    [
			        1745043938.3433244,
			        20,
			        1,
			        5
			    ],
			    [
			        1745043938.9176004,
			        20,
			        1,
			        5
			    ],
			    [
			        1745043940.2858293,
			        20,
			        2,
			        10
			    ],
			    [
			        1745043940.7146926,
			        20,
			        2,
			        10
			    ],
			    [
			        1745043949.3989835,
			        20,
			        1,
			        5
			    ],
			    [
			        1745043949.8338351,
			        20,
			        1,
			        5
			    ],
			    [
			        1745044309.468976,
			        20,
			        1,
			        5
			    ],
			    [
			        1745044309.943597,
			        20,
			        1,
			        5
			    ],
			    [
			        1745044311.3343034,
			        20,
			        2,
			        10
			    ],
			    [
			        1745044311.7715924,
			        20,
			        2,
			        10
			    ],
			    [
			        1745044320.2506776,
			        20,
			        1,
			        5
			    ],
			    [
			        1745044321.6064155,
			        20,
			        1,
			        5
			    ],
			    [
			        1745044777.8578959,
			        20,
			        1,
			        5
			    ],
			    [
			        1745044778.1281495,
			        20,
			        1,
			        5
			    ],
			    [
			        1745044779.476041,
			        20,
			        2,
			        10
			    ],
			    [
			        1745044779.925801,
			        20,
			        2,
			        10
			    ],
			    [
			        1745044787.9829123,
			        20,
			        1,
			        5
			    ],
			    [
			        1745044788.0436072,
			        20,
			        1,
			        5
			    ],
			    [
			        1745045204.4273112,
			        20,
			        1,
			        5
			    ],
			    [
			        1745045205.9471788,
			        20,
			        1,
			        5
			    ],
			    [
			        1745045207.3319116,
			        20,
			        2,
			        10
			    ],
			    [
			        1745045207.7822018,
			        20,
			        2,
			        10
			    ],
			    [
			        1745045216.1489725,
			        20,
			        1,
			        5
			    ],
			    [
			        1745045216.3181214,
			        20,
			        1,
			        5
			    ],
			    [
			        1745045627.2466311,
			        20,
			        1,
			        5
			    ],
			    [
			        1745045627.6068778,
			        20,
			        1,
			        5
			    ],
			    [
			        1745045629.0226474,
			        20,
			        2,
			        10
			    ],
			    [
			        1745045629.4582968,
			        20,
			        2,
			        10
			    ],
			    [
			        1745045637.9802177,
			        20,
			        1,
			        5
			    ],
			    [
			        1745045638.1384406,
			        20,
			        1,
			        5
			    ],
			    [
			        1745046203.6170976,
			        20,
			        1,
			        5
			    ],
			    [
			        1745046207.7543745,
			        20,
			        1,
			        5
			    ],
			    [
			        1745046209.484254,
			        20,
			        2,
			        10
			    ],
			    [
			        1745046209.9188688,
			        20,
			        2,
			        10
			    ],
			    [
			        1745046218.425966,
			        20,
			        1,
			        5
			    ],
			    [
			        1745046218.4928317,
			        20,
			        1,
			        5
			    ],
			    [
			        1745046661.3866205,
			        20,
			        1,
			        5
			    ],
			    [
			        1745046661.9505064,
			        20,
			        1,
			        5
			    ],
			    [
			        1745046665.0272183,
			        20,
			        2,
			        10
			    ],
			    [
			        1745046665.4456396,
			        20,
			        2,
			        10
			    ],
			    [
			        1745046673.6544096,
			        20,
			        1,
			        5
			    ],
			    [
			        1745046673.758859,
			        20,
			        1,
			        5
			    ],
			    [
			        1745046680.440029,
			        20,
			        1,
			        5
			    ],
			    [
			        1745046690.9216194,
			        20,
			        1,
			        5
			    ],
			    [
			        1745046701.0731435,
			        20,
			        1,
			        5
			    ],
			    [
			        1745046711.8884504,
			        20,
			        1,
			        5
			    ],
			    [
			        1745046722.0172374,
			        20,
			        1,
			        5
			    ],
			    [
			        1745046732.1772282,
			        20,
			        1,
			        5
			    ],
			    [
			        1745046742.8304555,
			        20,
			        1,
			        5
			    ],
			    [
			        1745046752.9765987,
			        20,
			        1,
			        5
			    ],
			    [
			        1745046763.0851219,
			        20,
			        1,
			        5
			    ],
			    [
			        1745046773.4895377,
			        20,
			        1,
			        5
			    ],
			    [
			        1745046783.4642646,
			        20,
			        1,
			        5
			    ],
			    [
			        1745046793.4857588,
			        20,
			        1,
			        5
			    ],
			    [
			        1745046803.8713593,
			        20,
			        1,
			        5
			    ],
			    [
			        1745046814.0250528,
			        20,
			        1,
			        5
			    ],
			    [
			        1745046824.1779373,
			        20,
			        1,
			        5
			    ],
			    [
			        1745046834.3707688,
			        20,
			        1,
			        5
			    ],
			    [
			        1745046845.017256,
			        20,
			        1,
			        5
			    ],
			    [
			        1745046855.1821573,
			        20,
			        1,
			        5
			    ],
			    [
			        1745046865.7699122,
			        20,
			        1,
			        5
			    ],
			    [
			        1745046875.9456747,
			        20,
			        1,
			        5
			    ],
			    [
			        1745046881.355771,
			        20,
			        1,
			        5
			    ],
			    [
			        1745046887.4460194,
			        20,
			        0,
			        0
			    ],
			    [
			        1745046896.254701,
			        20,
			        0,
			        0
			    ],
			    [
			        1745047237.0540144,
			        20,
			        0,
			        0
			    ],
			    [
			        1745047237.2314663,
			        20,
			        0,
			        0
			    ],
			    [
			        1745047238.9576912,
			        20,
			        1,
			        5
			    ],
			    [
			        1745047244.8097563,
			        20,
			        1,
			        5
			    ],
			    [
			        1745047748.9946268,
			        20,
			        1,
			        5
			    ],
			    [
			        1745047749.2515666,
			        20,
			        1,
			        5
			    ],
			    [
			        1745047750.9659479,
			        20,
			        2,
			        10
			    ],
			    [
			        1745047751.4145546,
			        20,
			        2,
			        10
			    ],
			    [
			        1745047759.70318,
			        20,
			        1,
			        5
			    ],
			    [
			        1745047759.7695203,
			        20,
			        1,
			        5
			    ],
			    [
			        1745048372.924909,
			        20,
			        1,
			        5
			    ],
			    [
			        1745048373.2279198,
			        20,
			        1,
			        5
			    ],
			    [
			        1745048374.9091024,
			        20,
			        2,
			        10
			    ],
			    [
			        1745048375.3775,
			        20,
			        2,
			        10
			    ],
			    [
			        1745048383.9146252,
			        20,
			        1,
			        5
			    ],
			    [
			        1745048383.9768083,
			        20,
			        1,
			        5
			    ],
			    [
			        1745048880.7935946,
			        20,
			        1,
			        5
			    ],
			    [
			        1745048881.1628993,
			        20,
			        1,
			        5
			    ],
			    [
			        1745048882.92948,
			        20,
			        2,
			        10
			    ],
			    [
			        1745048883.4750469,
			        20,
			        2,
			        10
			    ],
			    [
			        1745048892.048618,
			        20,
			        1,
			        5
			    ],
			    [
			        1745048892.1118302,
			        20,
			        1,
			        5
			    ],
			    [
			        1745049390.53712,
			        20,
			        1,
			        5
			    ],
			    [
			        1745049390.9633088,
			        20,
			        1,
			        5
			    ],
			    [
			        1745049392.3653305,
			        20,
			        2,
			        10
			    ],
			    [
			        1745049392.7986155,
			        20,
			        2,
			        10
			    ],
			    [
			        1745049402.211207,
			        20,
			        1,
			        5
			    ],
			    [
			        1745049402.2751071,
			        20,
			        1,
			        5
			    ],
			    [
			        1745049924.7940893,
			        20,
			        1,
			        5
			    ],
			    [
			        1745049925.0661018,
			        20,
			        1,
			        5
			    ],
			    [
			        1745049926.438217,
			        20,
			        2,
			        10
			    ],
			    [
			        1745049926.8663678,
			        20,
			        2,
			        10
			    ],
			    [
			        1745049935.2449667,
			        20,
			        1,
			        5
			    ],
			    [
			        1745049935.305345,
			        20,
			        1,
			        5
			    ],
			    [
			        1745050501.5429413,
			        20,
			        1,
			        5
			    ],
			    [
			        1745050501.9593387,
			        20,
			        1,
			        5
			    ],
			    [
			        1745050505.0298476,
			        20,
			        2,
			        10
			    ],
			    [
			        1745050505.4754279,
			        20,
			        2,
			        10
			    ],
			    [
			        1745050513.704359,
			        20,
			        1,
			        5
			    ],
			    [
			        1745050513.7738595,
			        20,
			        1,
			        5
			    ],
			    [
			        1745050933.1027818,
			        20,
			        1,
			        5
			    ],
			    [
			        1745050933.3835795,
			        20,
			        1,
			        5
			    ],
			    [
			        1745050935.01989,
			        20,
			        2,
			        10
			    ],
			    [
			        1745050935.430382,
			        20,
			        2,
			        10
			    ],
			    [
			        1745050943.842032,
			        20,
			        1,
			        5
			    ],
			    [
			        1745050943.9151697,
			        20,
			        1,
			        5
			    ],
			    [
			        1745051438.246804,
			        20,
			        1,
			        5
			    ],
			    [
			        1745051438.5847163,
			        20,
			        1,
			        5
			    ],
			    [
			        1745051439.9972353,
			        20,
			        2,
			        10
			    ],
			    [
			        1745051440.422575,
			        20,
			        2,
			        10
			    ],
			    [
			        1745051448.9035842,
			        20,
			        1,
			        5
			    ],
			    [
			        1745051448.9687173,
			        20,
			        1,
			        5
			    ],
			    [
			        1745052025.221201,
			        20,
			        1,
			        5
			    ],
			    [
			        1745052025.4952812,
			        20,
			        1,
			        5
			    ],
			    [
			        1745052027.0071595,
			        20,
			        2,
			        10
			    ],
			    [
			        1745052027.4476767,
			        20,
			        2,
			        10
			    ],
			    [
			        1745052035.851162,
			        20,
			        1,
			        5
			    ],
			    [
			        1745052035.922568,
			        20,
			        1,
			        5
			    ],
			    [
			        1745052562.3664086,
			        20,
			        1,
			        5
			    ],
			    [
			        1745052562.9569554,
			        20,
			        1,
			        5
			    ],
			    [
			        1745052564.322287,
			        20,
			        2,
			        10
			    ],
			    [
			        1745052564.7801178,
			        20,
			        2,
			        10
			    ],
			    [
			        1745052573.2464743,
			        20,
			        1,
			        5
			    ],
			    [
			        1745052573.3186772,
			        20,
			        1,
			        5
			    ],
			    [
			        1745053139.692053,
			        20,
			        1,
			        5
			    ],
			    [
			        1745053139.9633756,
			        20,
			        1,
			        5
			    ],
			    [
			        1745053141.3324947,
			        20,
			        2,
			        10
			    ],
			    [
			        1745053141.777247,
			        20,
			        2,
			        10
			    ],
			    [
			        1745053150.1830177,
			        20,
			        1,
			        5
			    ],
			    [
			        1745053150.3506968,
			        20,
			        1,
			        5
			    ],
			    [
			        1745053712.4578547,
			        20,
			        1,
			        5
			    ],
			    [
			        1745053712.9593637,
			        20,
			        1,
			        5
			    ],
			    [
			        1745053714.4680457,
			        20,
			        2,
			        10
			    ],
			    [
			        1745053714.8934069,
			        20,
			        2,
			        10
			    ],
			    [
			        1745053723.4448535,
			        20,
			        1,
			        5
			    ],
			    [
			        1745053723.5127776,
			        20,
			        1,
			        5
			    ],
			    [
			        1745054158.5706165,
			        20,
			        1,
			        5
			    ],
			    [
			        1745054158.9466937,
			        20,
			        1,
			        5
			    ],
			    [
			        1745054160.3874798,
			        20,
			        2,
			        10
			    ],
			    [
			        1745054168.4372537,
			        20,
			        2,
			        10
			    ],
			    [
			        1745054791.5139081,
			        20,
			        2,
			        10
			    ],
			    [
			        1745054791.9047983,
			        20,
			        2,
			        10
			    ],
			    [
			        1745054793.2689111,
			        20,
			        3,
			        15
			    ],
			    [
			        1745054793.7019663,
			        20,
			        3,
			        15
			    ],
			    [
			        1745054797.543528,
			        20,
			        2,
			        10
			    ],
			    [
			        1745054805.9027364,
			        20,
			        1,
			        5
			    ],
			    [
			        1745054806.0658977,
			        20,
			        1,
			        5
			    ],
			    [
			        1745055333.7073486,
			        20,
			        1,
			        5
			    ],
			    [
			        1745055333.9809477,
			        20,
			        1,
			        5
			    ],
			    [
			        1745055335.350501,
			        20,
			        2,
			        10
			    ],
			    [
			        1745055335.7995815,
			        20,
			        2,
			        10
			    ],
			    [
			        1745055344.377498,
			        20,
			        1,
			        5
			    ],
			    [
			        1745055344.4417088,
			        20,
			        1,
			        5
			    ],
			    [
			        1745055858.0750194,
			        20,
			        1,
			        5
			    ],
			    [
			        1745055858.368124,
			        20,
			        1,
			        5
			    ],
			    [
			        1745055860.9919324,
			        20,
			        2,
			        10
			    ],
			    [
			        1745055861.4274917,
			        20,
			        2,
			        10
			    ],
			    [
			        1745055870.2385588,
			        20,
			        1,
			        5
			    ],
			    [
			        1745055870.3216777,
			        20,
			        1,
			        5
			    ],
			    [
			        1745056409.157835,
			        20,
			        1,
			        5
			    ],
			    [
			        1745056409.4682777,
			        20,
			        1,
			        5
			    ],
			    [
			        1745056411.037141,
			        20,
			        2,
			        10
			    ],
			    [
			        1745056411.5546703,
			        20,
			        2,
			        10
			    ],
			    [
			        1745056420.142876,
			        20,
			        1,
			        5
			    ],
			    [
			        1745056420.2044337,
			        20,
			        1,
			        5
			    ],
			    [
			        1745057035.2759323,
			        20,
			        1,
			        5
			    ],
			    [
			        1745057035.7874293,
			        20,
			        1,
			        5
			    ],
			    [
			        1745057038.4612074,
			        20,
			        2,
			        10
			    ],
			    [
			        1745057038.9276617,
			        20,
			        2,
			        10
			    ],
			    [
			        1745057048.7290196,
			        20,
			        1,
			        5
			    ],
			    [
			        1745057048.8922348,
			        20,
			        1,
			        5
			    ],
			    [
			        1745057584.793704,
			        20,
			        1,
			        5
			    ],
			    [
			        1745057585.1051958,
			        20,
			        1,
			        5
			    ],
			    [
			        1745057586.486582,
			        20,
			        2,
			        10
			    ],
			    [
			        1745057586.8955593,
			        20,
			        2,
			        10
			    ],
			    [
			        1745057595.379965,
			        20,
			        1,
			        5
			    ],
			    [
			        1745057595.8548753,
			        20,
			        1,
			        5
			    ],
			    [
			        1745057602.5048416,
			        20,
			        1,
			        5
			    ],
			    [
			        1745057613.850985,
			        20,
			        1,
			        5
			    ],
			    [
			        1745057624.2919898,
			        20,
			        1,
			        5
			    ],
			    [
			        1745057634.8934035,
			        20,
			        1,
			        5
			    ],
			    [
			        1745057645.1682785,
			        20,
			        1,
			        5
			    ],
			    [
			        1745057655.4538965,
			        20,
			        1,
			        5
			    ],
			    [
			        1745057665.674109,
			        20,
			        1,
			        5
			    ],
			    [
			        1745057675.9585347,
			        20,
			        1,
			        5
			    ],
			    [
			        1745057686.3121767,
			        20,
			        1,
			        5
			    ],
			    [
			        1745057696.6236525,
			        20,
			        1,
			        5
			    ],
			    [
			        1745057706.9162545,
			        20,
			        1,
			        5
			    ],
			    [
			        1745057717.9883687,
			        20,
			        1,
			        5
			    ],
			    [
			        1745057728.433904,
			        20,
			        1,
			        5
			    ],
			    [
			        1745057738.9211447,
			        20,
			        1,
			        5
			    ],
			    [
			        1745057749.3326845,
			        20,
			        1,
			        5
			    ],
			    [
			        1745057759.7509868,
			        20,
			        1,
			        5
			    ],
			    [
			        1745057770.1878037,
			        20,
			        1,
			        5
			    ],
			    [
			        1745057780.597883,
			        20,
			        1,
			        5
			    ],
			    [
			        1745057791.0926502,
			        20,
			        1,
			        5
			    ],
			    [
			        1745057801.5670416,
			        20,
			        1,
			        5
			    ],
			    [
			        1745057811.8477623,
			        20,
			        1,
			        5
			    ],
			    [
			        1745057822.0888884,
			        20,
			        1,
			        5
			    ],
			    [
			        1745057832.3684316,
			        20,
			        1,
			        5
			    ],
			    [
			        1745057842.6150012,
			        20,
			        1,
			        5
			    ],
			    [
			        1745057848.036735,
			        20,
			        1,
			        5
			    ],
			    [
			        1745057853.8276238,
			        20,
			        0,
			        0
			    ],
			    [
			        1745057862.888883,
			        20,
			        0,
			        0
			    ],
			    [
			        1745058410.7409909,
			        20,
			        0,
			        0
			    ],
			    [
			        1745058410.9144115,
			        20,
			        0,
			        0
			    ],
			    [
			        1745058412.2914479,
			        20,
			        1,
			        5
			    ],
			    [
			        1745058417.8693688,
			        20,
			        1,
			        5
			    ],
			    [
			        1745058811.5932903,
			        20,
			        1,
			        5
			    ],
			    [
			        1745058811.958557,
			        20,
			        1,
			        5
			    ],
			    [
			        1745058813.61357,
			        20,
			        2,
			        10
			    ],
			    [
			        1745058814.069955,
			        20,
			        2,
			        10
			    ],
			    [
			        1745058823.0052571,
			        20,
			        1,
			        5
			    ],
			    [
			        1745058823.066359,
			        20,
			        1,
			        5
			    ],
			    [
			        1745059398.2528782,
			        20,
			        1,
			        5
			    ],
			    [
			        1745059401.257216,
			        20,
			        1,
			        5
			    ],
			    [
			        1745059403.0451326,
			        20,
			        2,
			        10
			    ],
			    [
			        1745059403.469167,
			        20,
			        2,
			        10
			    ],
			    [
			        1745059412.2792647,
			        20,
			        1,
			        5
			    ],
			    [
			        1745059412.3396132,
			        20,
			        1,
			        5
			    ],
			    [
			        1745059996.8292704,
			        20,
			        1,
			        5
			    ],
			    [
			        1745059997.1073833,
			        20,
			        1,
			        5
			    ],
			    [
			        1745059998.5090983,
			        20,
			        2,
			        10
			    ],
			    [
			        1745059998.9529068,
			        20,
			        2,
			        10
			    ],
			    [
			        1745060007.3489683,
			        20,
			        1,
			        5
			    ],
			    [
			        1745060007.802368,
			        20,
			        1,
			        5
			    ],
			    [
			        1745060432.9801185,
			        20,
			        1,
			        5
			    ],
			    [
			        1745060436.995142,
			        20,
			        1,
			        5
			    ],
			    [
			        1745060438.9911983,
			        20,
			        2,
			        10
			    ],
			    [
			        1745060439.5426533,
			        20,
			        2,
			        10
			    ],
			    [
			        1745060448.3922803,
			        20,
			        1,
			        5
			    ],
			    [
			        1745060448.464441,
			        20,
			        1,
			        5
			    ],
			    [
			        1745061065.2794642,
			        20,
			        1,
			        5
			    ],
			    [
			        1745061065.6276486,
			        20,
			        1,
			        5
			    ],
			    [
			        1745061067.0298579,
			        20,
			        2,
			        10
			    ],
			    [
			        1745061067.5049934,
			        20,
			        2,
			        10
			    ],
			    [
			        1745061076.951501,
			        20,
			        1,
			        5
			    ],
			    [
			        1745061077.0271337,
			        20,
			        1,
			        5
			    ],
			    [
			        1745061501.8672686,
			        20,
			        1,
			        5
			    ],
			    [
			        1745061502.129098,
			        20,
			        1,
			        5
			    ],
			    [
			        1745061503.5057065,
			        20,
			        2,
			        10
			    ],
			    [
			        1745061503.9278846,
			        20,
			        2,
			        10
			    ],
			    [
			        1745061513.0233097,
			        20,
			        1,
			        5
			    ],
			    [
			        1745061513.0904899,
			        20,
			        1,
			        5
			    ],
			    [
			        1745062046.8013487,
			        20,
			        1,
			        5
			    ],
			    [
			        1745062047.0979078,
			        20,
			        1,
			        5
			    ],
			    [
			        1745062048.4518867,
			        20,
			        2,
			        10
			    ],
			    [
			        1745062048.8916512,
			        20,
			        2,
			        10
			    ],
			    [
			        1745062058.3208249,
			        20,
			        1,
			        5
			    ],
			    [
			        1745062058.3832533,
			        20,
			        1,
			        5
			    ],
			    [
			        1745062667.0576286,
			        20,
			        1,
			        5
			    ],
			    [
			        1745062668.3818045,
			        20,
			        1,
			        5
			    ],
			    [
			        1745062670.0069327,
			        20,
			        2,
			        10
			    ],
			    [
			        1745062670.4457402,
			        20,
			        2,
			        10
			    ],
			    [
			        1745062679.4225287,
			        20,
			        1,
			        5
			    ],
			    [
			        1745062679.4832811,
			        20,
			        1,
			        5
			    ],
			    [
			        1745063250.570312,
			        20,
			        1,
			        5
			    ],
			    [
			        1745063250.9746253,
			        20,
			        1,
			        5
			    ],
			    [
			        1745063252.350344,
			        20,
			        2,
			        10
			    ],
			    [
			        1745063252.7843025,
			        20,
			        2,
			        10
			    ],
			    [
			        1745063262.0549738,
			        20,
			        1,
			        5
			    ],
			    [
			        1745063262.1138196,
			        20,
			        1,
			        5
			    ],
			    [
			        1745063700.1481695,
			        20,
			        1,
			        5
			    ],
			    [
			        1745063700.4227405,
			        20,
			        1,
			        5
			    ],
			    [
			        1745063703.010351,
			        20,
			        2,
			        10
			    ],
			    [
			        1745063703.4531665,
			        20,
			        2,
			        10
			    ],
			    [
			        1745063712.3775048,
			        20,
			        1,
			        5
			    ],
			    [
			        1745063712.4370904,
			        20,
			        1,
			        5
			    ],
			    [
			        1745064327.302312,
			        20,
			        1,
			        5
			    ],
			    [
			        1745064327.854625,
			        20,
			        1,
			        5
			    ],
			    [
			        1745064329.267002,
			        20,
			        2,
			        10
			    ],
			    [
			        1745064329.7303333,
			        20,
			        2,
			        10
			    ],
			    [
			        1745064338.6478302,
			        20,
			        1,
			        5
			    ],
			    [
			        1745064338.7182374,
			        20,
			        1,
			        5
			    ],
			    [
			        1745065013.1123414,
			        20,
			        1,
			        5
			    ],
			    [
			        1745065013.385889,
			        20,
			        1,
			        5
			    ],
			    [
			        1745065015.0072594,
			        20,
			        2,
			        10
			    ],
			    [
			        1745065015.4593241,
			        20,
			        2,
			        10
			    ],
			    [
			        1745065024.1836674,
			        20,
			        1,
			        5
			    ],
			    [
			        1745065024.3500166,
			        20,
			        1,
			        5
			    ],
			    [
			        1745065514.036049,
			        20,
			        1,
			        5
			    ],
			    [
			        1745065514.296391,
			        20,
			        1,
			        5
			    ],
			    [
			        1745065515.999962,
			        20,
			        2,
			        10
			    ],
			    [
			        1745065516.4216616,
			        20,
			        2,
			        10
			    ],
			    [
			        1745065525.125833,
			        20,
			        1,
			        5
			    ],
			    [
			        1745065525.282934,
			        20,
			        1,
			        5
			    ],
			    [
			        1745066219.1093102,
			        20,
			        1,
			        5
			    ],
			    [
			        1745066219.3713257,
			        20,
			        1,
			        5
			    ],
			    [
			        1745066221.006347,
			        20,
			        2,
			        10
			    ],
			    [
			        1745066221.440109,
			        20,
			        2,
			        10
			    ],
			    [
			        1745066230.3490903,
			        20,
			        1,
			        5
			    ],
			    [
			        1745066231.025328,
			        20,
			        1,
			        5
			    ],
			    [
			        1745066721.4071612,
			        20,
			        1,
			        5
			    ],
			    [
			        1745066721.9415326,
			        20,
			        1,
			        5
			    ],
			    [
			        1745066723.3171494,
			        20,
			        2,
			        10
			    ],
			    [
			        1745066723.7413602,
			        20,
			        2,
			        10
			    ],
			    [
			        1745066732.2269447,
			        20,
			        1,
			        5
			    ],
			    [
			        1745066732.3946762,
			        20,
			        1,
			        5
			    ],
			    [
			        1745067347.6972175,
			        20,
			        1,
			        5
			    ],
			    [
			        1745067347.983504,
			        20,
			        1,
			        5
			    ],
			    [
			        1745067349.4208133,
			        20,
			        2,
			        10
			    ],
			    [
			        1745067349.904245,
			        20,
			        2,
			        10
			    ],
			    [
			        1745067358.5328872,
			        20,
			        1,
			        5
			    ],
			    [
			        1745067358.8638601,
			        20,
			        1,
			        5
			    ],
			    [
			        1745067878.0693681,
			        20,
			        1,
			        5
			    ],
			    [
			        1745067878.337791,
			        20,
			        1,
			        5
			    ],
			    [
			        1745067880.052467,
			        20,
			        2,
			        10
			    ],
			    [
			        1745067880.498712,
			        20,
			        2,
			        10
			    ],
			    [
			        1745067889.3184612,
			        20,
			        1,
			        5
			    ],
			    [
			        1745067889.8164623,
			        20,
			        1,
			        5
			    ],
			    [
			        1745068520.5199378,
			        20,
			        1,
			        5
			    ],
			    [
			        1745068520.967256,
			        20,
			        1,
			        5
			    ],
			    [
			        1745068522.3297546,
			        20,
			        2,
			        10
			    ],
			    [
			        1745068522.7479403,
			        20,
			        2,
			        10
			    ],
			    [
			        1745068531.2583067,
			        20,
			        1,
			        5
			    ],
			    [
			        1745068531.4575188,
			        20,
			        1,
			        5
			    ],
			    [
			        1745069141.7952125,
			        20,
			        1,
			        5
			    ],
			    [
			        1745069142.069278,
			        20,
			        1,
			        5
			    ],
			    [
			        1745069143.4205232,
			        20,
			        2,
			        10
			    ],
			    [
			        1745069143.857891,
			        20,
			        2,
			        10
			    ],
			    [
			        1745069152.411814,
			        20,
			        1,
			        5
			    ],
			    [
			        1745069152.87003,
			        20,
			        1,
			        5
			    ],
			    [
			        1745069159.52357,
			        20,
			        1,
			        5
			    ],
			    [
			        1745069170.321236,
			        20,
			        1,
			        5
			    ],
			    [
			        1745069180.7379756,
			        20,
			        1,
			        5
			    ],
			    [
			        1745069191.2778206,
			        20,
			        1,
			        5
			    ],
			    [
			        1745069201.7600012,
			        20,
			        1,
			        5
			    ],
			    [
			        1745069212.281117,
			        20,
			        1,
			        5
			    ],
			    [
			        1745069222.8788636,
			        20,
			        1,
			        5
			    ],
			    [
			        1745069233.5908344,
			        20,
			        1,
			        5
			    ],
			    [
			        1745069244.2518353,
			        20,
			        1,
			        5
			    ],
			    [
			        1745069255.0322986,
			        20,
			        1,
			        5
			    ],
			    [
			        1745069265.7453156,
			        20,
			        1,
			        5
			    ],
			    [
			        1745069276.476078,
			        20,
			        1,
			        5
			    ],
			    [
			        1745069287.2416623,
			        20,
			        1,
			        5
			    ],
			    [
			        1745069298.049544,
			        20,
			        1,
			        5
			    ],
			    [
			        1745069308.0541291,
			        20,
			        1,
			        5
			    ],
			    [
			        1745069318.8036118,
			        20,
			        1,
			        5
			    ],
			    [
			        1745069329.5554957,
			        20,
			        1,
			        5
			    ],
			    [
			        1745069340.367256,
			        20,
			        1,
			        5
			    ],
			    [
			        1745069351.3446944,
			        20,
			        1,
			        5
			    ],
			    [
			        1745069361.927119,
			        20,
			        1,
			        5
			    ],
			    [
			        1745069372.4861505,
			        20,
			        1,
			        5
			    ],
			    [
			        1745069383.0539865,
			        20,
			        1,
			        5
			    ],
			    [
			        1745069393.6584842,
			        20,
			        1,
			        5
			    ],
			    [
			        1745069404.224176,
			        20,
			        1,
			        5
			    ],
			    [
			        1745069414.2044957,
			        20,
			        1,
			        5
			    ],
			    [
			        1745069419.5892272,
			        20,
			        1,
			        5
			    ],
			    [
			        1745069425.7221937,
			        20,
			        0,
			        0
			    ],
			    [
			        1745069435.2909126,
			        20,
			        0,
			        0
			    ],
			    [
			        1745069994.8514674,
			        20,
			        0,
			        0
			    ],
			    [
			        1745069995.0200596,
			        20,
			        0,
			        0
			    ],
			    [
			        1745069996.3845105,
			        20,
			        1,
			        5
			    ],
			    [
			        1745070002.1412475,
			        20,
			        1,
			        5
			    ],
			    [
			        1745070530.0723958,
			        20,
			        1,
			        5
			    ],
			    [
			        1745070530.3323061,
			        20,
			        1,
			        5
			    ],
			    [
			        1745070531.9955642,
			        20,
			        2,
			        10
			    ],
			    [
			        1745070532.4400136,
			        20,
			        2,
			        10
			    ],
			    [
			        1745070541.7655082,
			        20,
			        1,
			        5
			    ],
			    [
			        1745070541.929109,
			        20,
			        1,
			        5
			    ],
			    [
			        1745071066.1603937,
			        20,
			        1,
			        5
			    ],
			    [
			        1745071066.4384859,
			        20,
			        1,
			        5
			    ],
			    [
			        1745071068.1795151,
			        20,
			        2,
			        10
			    ],
			    [
			        1745071068.5976286,
			        20,
			        2,
			        10
			    ],
			    [
			        1745071077.2764654,
			        20,
			        1,
			        5
			    ],
			    [
			        1745071077.5072646,
			        20,
			        1,
			        5
			    ],
			    [
			        1745071736.8018086,
			        20,
			        1,
			        5
			    ],
			    [
			        1745071737.0920594,
			        20,
			        1,
			        5
			    ],
			    [
			        1745071738.4702182,
			        20,
			        2,
			        10
			    ],
			    [
			        1745071738.9058447,
			        20,
			        2,
			        10
			    ],
			    [
			        1745071748.2899206,
			        20,
			        1,
			        5
			    ],
			    [
			        1745071748.3478117,
			        20,
			        1,
			        5
			    ],
			    [
			        1745072267.9202683,
			        20,
			        1,
			        5
			    ],
			    [
			        1745072268.201614,
			        20,
			        1,
			        5
			    ],
			    [
			        1745072269.6781714,
			        20,
			        2,
			        10
			    ],
			    [
			        1745072270.123538,
			        20,
			        2,
			        10
			    ],
			    [
			        1745072279.0543518,
			        20,
			        1,
			        5
			    ],
			    [
			        1745072279.2271335,
			        20,
			        1,
			        5
			    ],
			    [
			        1745072898.7090778,
			        20,
			        1,
			        5
			    ],
			    [
			        1745072899.0064404,
			        20,
			        1,
			        5
			    ],
			    [
			        1745072900.3663466,
			        20,
			        2,
			        10
			    ],
			    [
			        1745072900.803054,
			        20,
			        2,
			        10
			    ],
			    [
			        1745072909.5023768,
			        20,
			        1,
			        5
			    ],
			    [
			        1745072909.8586235,
			        20,
			        1,
			        5
			    ],
			    [
			        1745073672.482159,
			        20,
			        1,
			        5
			    ],
			    [
			        1745073672.9675875,
			        20,
			        1,
			        5
			    ],
			    [
			        1745073674.358737,
			        20,
			        2,
			        10
			    ],
			    [
			        1745073674.7946784,
			        20,
			        2,
			        10
			    ],
			    [
			        1745073684.5196738,
			        20,
			        1,
			        5
			    ],
			    [
			        1745073684.5786018,
			        20,
			        1,
			        5
			    ],
			    [
			        1745074378.4450512,
			        20,
			        1,
			        5
			    ],
			    [
			        1745074378.9592636,
			        20,
			        1,
			        5
			    ],
			    [
			        1745074380.304117,
			        20,
			        2,
			        10
			    ],
			    [
			        1745074380.7361338,
			        20,
			        2,
			        10
			    ],
			    [
			        1745074389.4573593,
			        20,
			        1,
			        5
			    ],
			    [
			        1745074389.8664105,
			        20,
			        1,
			        5
			    ],
			    [
			        1745075125.5224895,
			        20,
			        1,
			        5
			    ],
			    [
			        1745075125.9514236,
			        20,
			        1,
			        5
			    ],
			    [
			        1745075127.3177834,
			        20,
			        2,
			        10
			    ],
			    [
			        1745075127.754022,
			        20,
			        2,
			        10
			    ],
			    [
			        1745075137.5794368,
			        20,
			        1,
			        5
			    ],
			    [
			        1745075137.861657,
			        20,
			        1,
			        5
			    ],
			    [
			        1745075781.4826913,
			        20,
			        1,
			        5
			    ],
			    [
			        1745075781.9925265,
			        20,
			        1,
			        5
			    ],
			    [
			        1745075783.4181674,
			        20,
			        2,
			        10
			    ],
			    [
			        1745075783.9141874,
			        20,
			        2,
			        10
			    ],
			    [
			        1745075792.8257415,
			        20,
			        1,
			        5
			    ],
			    [
			        1745075793.0055232,
			        20,
			        1,
			        5
			    ],
			    [
			        1745076364.2148542,
			        20,
			        1,
			        5
			    ],
			    [
			        1745076365.6444945,
			        20,
			        1,
			        5
			    ],
			    [
			        1745076367.0820174,
			        20,
			        2,
			        10
			    ],
			    [
			        1745076367.580292,
			        20,
			        2,
			        10
			    ],
			    [
			        1745076377.3111994,
			        20,
			        1,
			        5
			    ],
			    [
			        1745076377.3714762,
			        20,
			        1,
			        5
			    ],
			    [
			        1745076940.4734519,
			        20,
			        1,
			        5
			    ],
			    [
			        1745076940.976642,
			        20,
			        1,
			        5
			    ],
			    [
			        1745076942.3656704,
			        20,
			        2,
			        10
			    ],
			    [
			        1745076942.876748,
			        20,
			        2,
			        10
			    ],
			    [
			        1745076951.743413,
			        20,
			        1,
			        5
			    ],
			    [
			        1745076951.917885,
			        20,
			        1,
			        5
			    ],
			    [
			        1745077601.125716,
			        20,
			        1,
			        5
			    ],
			    [
			        1745077601.4112833,
			        20,
			        1,
			        5
			    ],
			    [
			        1745077603.0046754,
			        20,
			        2,
			        10
			    ],
			    [
			        1745077603.4339106,
			        20,
			        2,
			        10
			    ],
			    [
			        1745077612.36427,
			        20,
			        1,
			        5
			    ],
			    [
			        1745077612.8056962,
			        20,
			        1,
			        5
			    ],
			    [
			        1745078340.6794815,
			        20,
			        1,
			        5
			    ],
			    [
			        1745078340.9648414,
			        20,
			        1,
			        5
			    ],
			    [
			        1745078342.3308764,
			        20,
			        2,
			        10
			    ],
			    [
			        1745078342.792109,
			        20,
			        2,
			        10
			    ],
			    [
			        1745078352.033642,
			        20,
			        1,
			        5
			    ],
			    [
			        1745078352.2071328,
			        20,
			        1,
			        5
			    ],
			    [
			        1745079153.730818,
			        20,
			        1,
			        5
			    ],
			    [
			        1745079153.9927182,
			        20,
			        1,
			        5
			    ],
			    [
			        1745079155.4143376,
			        20,
			        2,
			        10
			    ],
			    [
			        1745079155.8808954,
			        20,
			        2,
			        10
			    ],
			    [
			        1745079165.6480043,
			        20,
			        1,
			        5
			    ],
			    [
			        1745079165.8674326,
			        20,
			        1,
			        5
			    ],
			    [
			        1745079700.0412066,
			        20,
			        1,
			        5
			    ],
			    [
			        1745079700.3024566,
			        20,
			        1,
			        5
			    ],
			    [
			        1745079702.0381322,
			        20,
			        2,
			        10
			    ],
			    [
			        1745079702.4756653,
			        20,
			        2,
			        10
			    ],
			    [
			        1745079711.567692,
			        20,
			        1,
			        5
			    ],
			    [
			        1745079711.8529303,
			        20,
			        1,
			        5
			    ],
			    [
			        1745080345.3100388,
			        20,
			        1,
			        5
			    ],
			    [
			        1745080345.8310108,
			        20,
			        1,
			        5
			    ],
			    [
			        1745080347.2054093,
			        20,
			        2,
			        10
			    ],
			    [
			        1745080347.6439974,
			        20,
			        2,
			        10
			    ],
			    [
			        1745080357.1734679,
			        20,
			        1,
			        5
			    ],
			    [
			        1745080357.3424828,
			        20,
			        1,
			        5
			    ],
			    [
			        1745081265.6335359,
			        20,
			        1,
			        5
			    ],
			    [
			        1745081266.772028,
			        20,
			        1,
			        5
			    ],
			    [
			        1745081268.232759,
			        20,
			        2,
			        10
			    ],
			    [
			        1745081268.6967711,
			        20,
			        2,
			        10
			    ],
			    [
			        1745081278.982702,
			        20,
			        1,
			        5
			    ],
			    [
			        1745081279.046109,
			        20,
			        1,
			        5
			    ],
			    [
			        1745081874.525381,
			        20,
			        1,
			        5
			    ],
			    [
			        1745081874.946879,
			        20,
			        1,
			        5
			    ],
			    [
			        1745081876.3426409,
			        20,
			        2,
			        10
			    ],
			    [
			        1745081876.7720814,
			        20,
			        2,
			        10
			    ],
			    [
			        1745081885.742803,
			        20,
			        1,
			        5
			    ],
			    [
			        1745081885.9075665,
			        20,
			        1,
			        5
			    ],
			    [
			        1745082556.3905478,
			        20,
			        1,
			        5
			    ],
			    [
			        1745082556.9281003,
			        20,
			        1,
			        5
			    ],
			    [
			        1745082558.2918687,
			        20,
			        2,
			        10
			    ],
			    [
			        1745082558.6918604,
			        20,
			        2,
			        10
			    ],
			    [
			        1745082567.9525015,
			        20,
			        1,
			        5
			    ],
			    [
			        1745082568.154478,
			        20,
			        1,
			        5
			    ]
			];
			var tab_main_worker_cpu_ram_csv_json = [
			    [
			        1744998972,
			        638.88671875,
			        47.4
			    ],
			    [
			        1744998972,
			        638.88671875,
			        51.4
			    ],
			    [
			        1744998972,
			        638.94921875,
			        47.8
			    ],
			    [
			        1744998972,
			        638.94921875,
			        46.9
			    ],
			    [
			        1744998972,
			        638.94921875,
			        48.8
			    ],
			    [
			        1744998972,
			        638.94921875,
			        47.7
			    ],
			    [
			        1744998972,
			        638.94921875,
			        52.5
			    ],
			    [
			        1744999629,
			        692.5078125,
			        50.4
			    ],
			    [
			        1744999629,
			        692.5078125,
			        49.2
			    ],
			    [
			        1744999629,
			        692.5078125,
			        48.7
			    ],
			    [
			        1744999629,
			        692.5078125,
			        49.5
			    ],
			    [
			        1745007332,
			        868.01953125,
			        32.4
			    ],
			    [
			        1745007332,
			        868.01953125,
			        6.9
			    ],
			    [
			        1745007332,
			        868.01953125,
			        6.7
			    ],
			    [
			        1745007332,
			        868.01953125,
			        5.7
			    ],
			    [
			        1745014310,
			        896.84375,
			        8.7
			    ],
			    [
			        1745014310,
			        896.84375,
			        8.1
			    ],
			    [
			        1745014310,
			        896.84375,
			        8.2
			    ],
			    [
			        1745014310,
			        896.84375,
			        6.3
			    ],
			    [
			        1745021438,
			        938.57421875,
			        8.9
			    ],
			    [
			        1745021438,
			        938.57421875,
			        8.5
			    ],
			    [
			        1745021438,
			        938.57421875,
			        8.5
			    ],
			    [
			        1745021438,
			        938.57421875,
			        9.8
			    ],
			    [
			        1745029422,
			        976.234375,
			        9.1
			    ],
			    [
			        1745029422,
			        976.234375,
			        9.3
			    ],
			    [
			        1745029422,
			        976.234375,
			        9.3
			    ],
			    [
			        1745029422,
			        976.234375,
			        10.5
			    ],
			    [
			        1745037962,
			        932.546875,
			        9
			    ],
			    [
			        1745037962,
			        932.546875,
			        10.4
			    ],
			    [
			        1745037962,
			        932.546875,
			        9.3
			    ],
			    [
			        1745037962,
			        932.546875,
			        15.8
			    ],
			    [
			        1745046680,
			        981.36328125,
			        8.8
			    ],
			    [
			        1745046680,
			        981.36328125,
			        8.4
			    ],
			    [
			        1745046680,
			        981.36328125,
			        8.1
			    ],
			    [
			        1745046680,
			        981.36328125,
			        7.8
			    ],
			    [
			        1745057602,
			        1001.359375,
			        8.7
			    ],
			    [
			        1745057602,
			        1001.359375,
			        9
			    ],
			    [
			        1745057602,
			        1001.359375,
			        8.8
			    ],
			    [
			        1745057602,
			        1001.359375,
			        11.7
			    ],
			    [
			        1745069159,
			        1008.6171875,
			        8.8
			    ],
			    [
			        1745069159,
			        1008.6171875,
			        7.4
			    ],
			    [
			        1745069159,
			        1008.6171875,
			        7.3
			    ],
			    [
			        1745069159,
			        1008.6171875,
			        6.2
			    ],
			    [
			        1745082574,
			        1060.2734375,
			        8.9
			    ],
			    [
			        1745082574,
			        1060.2734375,
			        7
			    ],
			    [
			        1745082575,
			        1060.2734375,
			        7.3
			    ],
			    [
			        1745082575,
			        1060.2734375,
			        5.6
			    ]
			];
			var tab_main_worker_cpu_ram_headers_json = [
			    "timestamp",
			    "ram_usage_mb",
			    "cpu_usage_percent"
			];
			
			"use strict";
			
			function add_default_layout_data (layout, no_height = 0) {
				layout["width"] = get_graph_width();
				if (!no_height) {
					layout["height"] = get_graph_height();
				}
				layout["paper_bgcolor"] = 'rgba(0,0,0,0)';
				layout["plot_bgcolor"] = 'rgba(0,0,0,0)';
			
				return layout;
			}
			
			function get_marker_size() {
				return 12;
			}
			
			function get_text_color() {
				return theme == "dark" ? "white" : "black";
			}
			
			function get_font_size() {
				return 14;
			}
			
			function get_graph_height() {
				return 800;
			}
			
			function get_font_data() {
				return {
					size: get_font_size(),
					color: get_text_color()
				}
			}
			
			function get_axis_title_data(name, axis_type = "") {
				if(axis_type) {
					return {
						text: name,
						type: axis_type,
						font: get_font_data()
					};
				}
			
				return {
					text: name,
					font: get_font_data()
				};
			}
			
			function get_graph_width() {
				var width = document.body.clientWidth || window.innerWidth || document.documentElement.clientWidth;
				return Math.max(800, Math.floor(width * 0.9));
			}
			
			function createTable(data, headers, table_name) {
				if (!$("#" + table_name).length) {
					console.error("#" + table_name + " not found");
					return;
				}
			
				new gridjs.Grid({
					columns: headers,
					data: data,
					search: true,
					sort: true,
					ellipsis: false
				}).render(document.getElementById(table_name));
			
				if (typeof apply_theme_based_on_system_preferences === 'function') {
					apply_theme_based_on_system_preferences();
				}
			
				colorize_table_entries();
			
				add_colorize_to_gridjs_table();
			}
			
			function download_as_file(id, filename) {
				var text = $("#" + id).text();
				var blob = new Blob([text], {
					type: "text/plain"
				});
				var link = document.createElement("a");
				link.href = URL.createObjectURL(blob);
				link.download = filename;
				document.body.appendChild(link);
				link.click();
				document.body.removeChild(link);
			}
			
			function copy_to_clipboard_from_id (id) {
				var text = $("#" + id).text();
			
				copy_to_clipboard(text);
			}
			
			function copy_to_clipboard(text) {
				if (!navigator.clipboard) {
					let textarea = document.createElement("textarea");
					textarea.value = text;
					document.body.appendChild(textarea);
					textarea.select();
					try {
						document.execCommand("copy");
					} catch (err) {
						console.error("Copy failed:", err);
					}
					document.body.removeChild(textarea);
					return;
				}
			
				navigator.clipboard.writeText(text).then(() => {
					console.log("Text copied to clipboard");
				}).catch(err => {
					console.error("Failed to copy text:", err);
				});
			}
			
			function filterNonEmptyRows(data) {
				var new_data = [];
				for (var row_idx = 0; row_idx <  data.length; row_idx++) {
					var line = data[row_idx];
			
					var line_has_empty_data = false;
			
					for (var col_idx = 0; col_idx < line.length; col_idx++) {
						var col_header_name = tab_results_headers_json[col_idx];
						var single_data_point = line[col_idx];
			
						if(single_data_point === "" && !special_col_names.includes(col_header_name)) {
							line_has_empty_data = true;
							continue;
						}
					}
			
					if(!line_has_empty_data) {
						new_data.push(line);
					}
				}
			
				return new_data;
			}
			
			function make_text_in_parallel_plot_nicer() {
				$(".parcoords g > g > text").each(function() {
					if (theme == "dark") {
						$(this)
							.css("text-shadow", "unset")
							.css("font-size", "0.9em")
							.css("fill", "white")
							.css("stroke", "black")
							.css("stroke-width", "2px")
							.css("paint-order", "stroke fill");
					} else {
						$(this)
							.css("text-shadow", "unset")
							.css("font-size", "0.9em")
							.css("fill", "black")
							.css("stroke", "unset")
							.css("stroke-width", "unset")
							.css("paint-order", "stroke fill");
					}
				});
			}
			
			function createParallelPlot(dataArray, headers, resultNames, ignoreColumns = []) {
				if ($("#parallel-plot").data("loaded") == "true") {
					return;
				}
			
				dataArray = filterNonEmptyRows(dataArray);
				const ignoreSet = new Set(ignoreColumns);
				const numericalCols = [];
				const categoricalCols = [];
				const categoryMappings = {};
			
				headers.forEach((header, colIndex) => {
					if (ignoreSet.has(header)) return;
			
					const values = dataArray.map(row => row[colIndex]);
					if (values.every(val => !isNaN(parseFloat(val)))) {
						numericalCols.push({ name: header, index: colIndex });
					} else {
						categoricalCols.push({ name: header, index: colIndex });
						const uniqueValues = [...new Set(values)];
						categoryMappings[header] = Object.fromEntries(uniqueValues.map((val, i) => [val, i]));
					}
				});
			
				const dimensions = [];
			
				numericalCols.forEach(col => {
					dimensions.push({
						label: col.name,
						values: dataArray.map(row => parseFloat(row[col.index])),
						range: [
							Math.min(...dataArray.map(row => parseFloat(row[col.index]))),
							Math.max(...dataArray.map(row => parseFloat(row[col.index])))
						]
					});
				});
			
				categoricalCols.forEach(col => {
					dimensions.push({
						label: col.name,
						values: dataArray.map(row => categoryMappings[col.name][row[col.index]]),
						tickvals: Object.values(categoryMappings[col.name]),
						ticktext: Object.keys(categoryMappings[col.name])
					});
				});
			
				let colorScale = null;
				let colorValues = null;
			
				if (resultNames.length > 1) {
					let selectBox = '<select id="result-select" style="margin-bottom: 10px;">';
					selectBox += '<option value="none">No color</option>';
					var k = 0;
					resultNames.forEach(resultName => {
						var minMax = result_min_max[k];
						if(minMax === undefined) {
							minMax = "min [automatically chosen]"
						}
						selectBox += `<option value="${resultName}">${resultName} (${minMax})</option>`;
						k = k + 1;
					});
					selectBox += '</select>';
					$("#parallel-plot").before(selectBox);
			
					$("#result-select").change(function() {
						const selectedResult = $(this).val();
						if (selectedResult === "none") {
							colorValues = null;
							colorScale = null;
						} else {
							const resultCol = numericalCols.find(col => col.name.toLowerCase() === selectedResult.toLowerCase());
							colorValues = dataArray.map(row => parseFloat(row[resultCol.index]));
			
							let minResult = Math.min(...colorValues);
							let maxResult = Math.max(...colorValues);
			
							var _result_min_max_idx = result_names.indexOf(selectedResult);
			
							let invertColor = false;
							if (result_min_max.length > _result_min_max_idx) {
								invertColor = result_min_max[_result_min_max_idx] === "max";
							}
			
							colorScale = invertColor
								? [[0, 'red'], [1, 'green']]
								: [[0, 'green'], [1, 'red']];
						}
						updatePlot();
					});
				} else {
					let invertColor = false;
					if (Object.keys(result_min_max).length == 1) {
						invertColor = result_min_max[0] === "max";
					}
			
					colorScale = invertColor
						? [[0, 'red'], [1, 'green']]
						: [[0, 'green'], [1, 'red']];
			
					const resultCol = numericalCols.find(col => col.name.toLowerCase() === resultNames[0].toLowerCase());
					colorValues = dataArray.map(row => parseFloat(row[resultCol.index]));
				}
			
				function updatePlot() {
					const trace = {
						type: 'parcoords',
						dimensions: dimensions,
						line: colorValues ? { color: colorValues, colorscale: colorScale } : {},
						unselected: {
							line: {
								color: get_text_color(),
								opacity: 0
							}
						},
					};
			
					dimensions.forEach(dim => {
						if (!dim.line) {
							dim.line = {};
						}
						if (!dim.line.color) {
							dim.line.color = 'rgba(169,169,169, 0.01)';
						}
					});
			
					Plotly.newPlot('parallel-plot', [trace], add_default_layout_data({}));
			
					make_text_in_parallel_plot_nicer();
				}
			
				updatePlot();
			
				$("#parallel-plot").data("loaded", "true");
			
				make_text_in_parallel_plot_nicer();
			}
			
			function plotWorkerUsage() {
				if($("#workerUsagePlot").data("loaded") == "true") {
					return;
				}
				var data = tab_worker_usage_csv_json;
				if (!Array.isArray(data) || data.length === 0) {
					console.error("Invalid or empty data provided.");
					return;
				}
			
				let timestamps = [];
				let desiredWorkers = [];
				let realWorkers = [];
			
				for (let i = 0; i < data.length; i++) {
					let entry = data[i];
			
					if (!Array.isArray(entry) || entry.length < 3) {
						console.warn("Skipping invalid entry:", entry);
						continue;
					}
			
					let unixTime = parseFloat(entry[0]);
					let desired = parseInt(entry[1], 10);
					let real = parseInt(entry[2], 10);
			
					if (isNaN(unixTime) || isNaN(desired) || isNaN(real)) {
						console.warn("Skipping invalid numerical values:", entry);
						continue;
					}
			
					timestamps.push(new Date(unixTime * 1000).toISOString());
					desiredWorkers.push(desired);
					realWorkers.push(real);
				}
			
				let trace1 = {
					x: timestamps,
					y: desiredWorkers,
					mode: 'lines+markers',
					name: 'Desired Workers',
					line: {
						color: 'blue'
					}
				};
			
				let trace2 = {
					x: timestamps,
					y: realWorkers,
					mode: 'lines+markers',
					name: 'Real Workers',
					line: {
						color: 'red'
					}
				};
			
				let layout = {
					title: "Worker Usage Over Time",
					xaxis: {
						title: get_axis_title_data("Time", "date")
					},
					yaxis: {
						title: get_axis_title_data("Number of Workers")
					},
					legend: {
						x: 0,
						y: 1
					}
				};
			
				Plotly.newPlot('workerUsagePlot', [trace1, trace2], add_default_layout_data(layout));
				$("#workerUsagePlot").data("loaded", "true");
			}
			
			function plotCPUAndRAMUsage() {
				if($("#mainWorkerCPURAM").data("loaded") == "true") {
					return;
				}
				var timestamps = tab_main_worker_cpu_ram_csv_json.map(row => new Date(row[0] * 1000));
				var ramUsage = tab_main_worker_cpu_ram_csv_json.map(row => row[1]);
				var cpuUsage = tab_main_worker_cpu_ram_csv_json.map(row => row[2]);
			
				var trace1 = {
					x: timestamps,
					y: cpuUsage,
					mode: 'lines+markers',
					marker: {
						size: get_marker_size(),
					},
					name: 'CPU Usage (%)',
					type: 'scatter',
					yaxis: 'y1'
				};
			
				var trace2 = {
					x: timestamps,
					y: ramUsage,
					mode: 'lines+markers',
					marker: {
						size: get_marker_size(),
					},
					name: 'RAM Usage (MB)',
					type: 'scatter',
					yaxis: 'y2'
				};
			
				var layout = {
					title: 'CPU and RAM Usage Over Time',
					xaxis: {
						title: get_axis_title_data("Timestamp", "date"),
						tickmode: 'array',
						tickvals: timestamps.filter((_, index) => index % Math.max(Math.floor(timestamps.length / 10), 1) === 0),
						ticktext: timestamps.filter((_, index) => index % Math.max(Math.floor(timestamps.length / 10), 1) === 0).map(t => t.toLocaleString()),
						tickangle: -45
					},
					yaxis: {
						title: get_axis_title_data("CPU Usage (%)"),
						rangemode: 'tozero'
					},
					yaxis2: {
						title: get_axis_title_data("RAM Usage (MB)"),
						overlaying: 'y',
						side: 'right',
						rangemode: 'tozero'
					},
					legend: {
						x: 0.1,
						y: 0.9
					}
				};
			
				var data = [trace1, trace2];
				Plotly.newPlot('mainWorkerCPURAM', data, add_default_layout_data(layout));
				$("#mainWorkerCPURAM").data("loaded", "true");
			}
			
			function plotScatter2d() {
				if ($("#plotScatter2d").data("loaded") == "true") {
					return;
				}
			
				var plotDiv = document.getElementById("plotScatter2d");
			
				var minInput = document.getElementById("minValue");
				var maxInput = document.getElementById("maxValue");
			
				if (!minInput || !maxInput) {
					minInput = document.createElement("input");
					minInput.id = "minValue";
					minInput.type = "number";
					minInput.placeholder = "Min Value";
					minInput.step = "any";
			
					maxInput = document.createElement("input");
					maxInput.id = "maxValue";
					maxInput.type = "number";
					maxInput.placeholder = "Max Value";
					maxInput.step = "any";
			
					var inputContainer = document.createElement("div");
					inputContainer.style.marginBottom = "10px";
					inputContainer.appendChild(minInput);
					inputContainer.appendChild(maxInput);
					plotDiv.appendChild(inputContainer);
				}
			
				var resultSelect = document.getElementById("resultSelect");
				if (result_names.length > 1 && !resultSelect) {
					resultSelect = document.createElement("select");
					resultSelect.id = "resultSelect";
					resultSelect.style.marginBottom = "10px";
			
					var sortedResults = [...result_names].sort();
					sortedResults.forEach(result => {
						var option = document.createElement("option");
						option.value = result;
						option.textContent = result;
						resultSelect.appendChild(option);
					});
			
					var selectContainer = document.createElement("div");
					selectContainer.style.marginBottom = "10px";
					selectContainer.appendChild(resultSelect);
					plotDiv.appendChild(selectContainer);
				}
			
				minInput.addEventListener("input", updatePlots);
				maxInput.addEventListener("input", updatePlots);
				if (resultSelect) {
					resultSelect.addEventListener("change", updatePlots);
				}
			
				updatePlots();
			
				async function updatePlots() {
					var minValue = parseFloat(minInput.value);
					var maxValue = parseFloat(maxInput.value);
					if (isNaN(minValue)) minValue = -Infinity;
					if (isNaN(maxValue)) maxValue = Infinity;
			
					while (plotDiv.children.length > 2) {
						plotDiv.removeChild(plotDiv.lastChild);
					}
			
					var selectedResult = resultSelect ? resultSelect.value : result_names[0];
			
					var resultIndex = tab_results_headers_json.findIndex(header =>
						header.toLowerCase() === selectedResult.toLowerCase()
					);
					var resultValues = tab_results_csv_json.map(row => row[resultIndex]);
			
					var minResult = Math.min(...resultValues.filter(value => value !== null && value !== ""));
					var maxResult = Math.max(...resultValues.filter(value => value !== null && value !== ""));
			
					if (minValue !== -Infinity) minResult = Math.max(minResult, minValue);
					if (maxValue !== Infinity) maxResult = Math.min(maxResult, maxValue);
			
					var invertColor = result_min_max[result_names.indexOf(selectedResult)] === "max";
			
					var numericColumns = tab_results_headers_json.filter(col =>
						!special_col_names.includes(col) && !result_names.includes(col) &&
						tab_results_csv_json.every(row => !isNaN(parseFloat(row[tab_results_headers_json.indexOf(col)])))
					);
			
					if (numericColumns.length < 2) {
						console.error("Not enough columns for Scatter-Plots");
						return;
					}
			
					for (let i = 0; i < numericColumns.length; i++) {
						for (let j = i + 1; j < numericColumns.length; j++) {
							let xCol = numericColumns[i];
							let yCol = numericColumns[j];
			
							let xIndex = tab_results_headers_json.indexOf(xCol);
							let yIndex = tab_results_headers_json.indexOf(yCol);
			
							let data = tab_results_csv_json.map(row => ({
								x: parseFloat(row[xIndex]),
								y: parseFloat(row[yIndex]),
								result: row[resultIndex] !== "" ? parseFloat(row[resultIndex]) : null
							}));
			
							data = data.filter(d => d.result >= minResult && d.result <= maxResult);
			
							let layoutTitle = `${xCol} (x) vs ${yCol} (y), result: ${selectedResult}`;
							let layout = {
								title: layoutTitle,
								xaxis: {
									title: get_axis_title_data(xCol)
								},
								yaxis: {
									title: get_axis_title_data(yCol)
								},
								showlegend: false
							};
							let subDiv = document.createElement("div");
			
							let spinnerContainer = document.createElement("div");
							spinnerContainer.style.display = "flex";
							spinnerContainer.style.alignItems = "center";
							spinnerContainer.style.justifyContent = "center";
							spinnerContainer.style.width = layout.width + "px";
							spinnerContainer.style.height = layout.height + "px";
							spinnerContainer.style.position = "relative";
			
							let spinner = document.createElement("div");
							spinner.className = "spinner";
							spinner.style.width = "40px";
							spinner.style.height = "40px";
			
							let loadingText = document.createElement("span");
							loadingText.innerText = `Loading ${layoutTitle}`;
							loadingText.style.marginLeft = "10px";
			
							spinnerContainer.appendChild(spinner);
							spinnerContainer.appendChild(loadingText);
			
							plotDiv.appendChild(spinnerContainer);
			
							await new Promise(resolve => setTimeout(resolve, 50));
			
							let colors = data.map(d => {
								if (d.result === null) {
									return 'rgb(0, 0, 0)';
								} else {
									let norm = (d.result - minResult) / (maxResult - minResult);
									if (invertColor) {
										norm = 1 - norm;
									}
									return `rgb(${Math.round(255 * norm)}, ${Math.round(255 * (1 - norm))}, 0)`;
								}
							});
			
							let trace = {
								x: data.map(d => d.x),
								y: data.map(d => d.y),
								mode: 'markers',
								marker: {
									size: get_marker_size(),
									color: data.map(d => d.result !== null ? d.result : null),
									colorscale: invertColor ? [
										[0, 'red'],
										[1, 'green']
									] : [
										[0, 'green'],
										[1, 'red']
									],
									colorbar: {
										title: 'Result',
										tickvals: [minResult, maxResult],
										ticktext: [`${minResult}`, `${maxResult}`]
									},
									symbol: data.map(d => d.result === null ? 'x' : 'circle'),
								},
								text: data.map(d => d.result !== null ? `Result: ${d.result}` : 'No result'),
								type: 'scatter',
								showlegend: false
							};
			
							try {
								plotDiv.replaceChild(subDiv, spinnerContainer);
							} catch (err) {
								//
							}
							Plotly.newPlot(subDiv, [trace], add_default_layout_data(layout));
						}
					}
				}
			
				$("#plotScatter2d").data("loaded", "true");
			}
			
			function plotScatter3d() {
				if ($("#plotScatter3d").data("loaded") == "true") {
					return;
				}
			
				var plotDiv = document.getElementById("plotScatter3d");
				if (!plotDiv) {
					console.error("Div element with id 'plotScatter3d' not found");
					return;
				}
				plotDiv.innerHTML = "";
			
				var minInput3d = document.getElementById("minValue3d");
				var maxInput3d = document.getElementById("maxValue3d");
			
				if (!minInput3d || !maxInput3d) {
					minInput3d = document.createElement("input");
					minInput3d.id = "minValue3d";
					minInput3d.type = "number";
					minInput3d.placeholder = "Min Value";
					minInput3d.step = "any";
			
					maxInput3d = document.createElement("input");
					maxInput3d.id = "maxValue3d";
					maxInput3d.type = "number";
					maxInput3d.placeholder = "Max Value";
					maxInput3d.step = "any";
			
					var inputContainer3d = document.createElement("div");
					inputContainer3d.style.marginBottom = "10px";
					inputContainer3d.appendChild(minInput3d);
					inputContainer3d.appendChild(maxInput3d);
					plotDiv.appendChild(inputContainer3d);
				}
			
				var select3d = document.getElementById("select3dScatter");
				if (result_names.length > 1 && !select3d) {
					if (!select3d) {
						select3d = document.createElement("select");
						select3d.id = "select3dScatter";
						select3d.style.marginBottom = "10px";
						select3d.innerHTML = result_names.map(name => `<option value="${name}">${name}</option>`).join("");
			
						select3d.addEventListener("change", updatePlots3d);
			
						plotDiv.appendChild(select3d);
					}
				}
			
				minInput3d.addEventListener("input", updatePlots3d);
				maxInput3d.addEventListener("input", updatePlots3d);
			
				updatePlots3d();
			
				async function updatePlots3d() {
					var selectedResult = select3d ? select3d.value : result_names[0];
					var minValue3d = parseFloat(minInput3d.value);
					var maxValue3d = parseFloat(maxInput3d.value);
			
					if (isNaN(minValue3d)) minValue3d = -Infinity;
					if (isNaN(maxValue3d)) maxValue3d = Infinity;
			
					while (plotDiv.children.length > 2) {
						plotDiv.removeChild(plotDiv.lastChild);
					}
			
					var resultIndex = tab_results_headers_json.findIndex(header =>
						header.toLowerCase() === selectedResult.toLowerCase()
					);
					var resultValues = tab_results_csv_json.map(row => row[resultIndex]);
			
					var minResult = Math.min(...resultValues.filter(value => value !== null && value !== ""));
					var maxResult = Math.max(...resultValues.filter(value => value !== null && value !== ""));
			
					if (minValue3d !== -Infinity) minResult = Math.max(minResult, minValue3d);
					if (maxValue3d !== Infinity) maxResult = Math.min(maxResult, maxValue3d);
			
					var invertColor = result_min_max[result_names.indexOf(selectedResult)] === "max";
			
					var numericColumns = tab_results_headers_json.filter(col =>
						!special_col_names.includes(col) && !result_names.includes(col) &&
						tab_results_csv_json.every(row => !isNaN(parseFloat(row[tab_results_headers_json.indexOf(col)])))
					);
			
					if (numericColumns.length < 3) {
						console.error("Not enough columns for 3D scatter plots");
						return;
					}
			
					for (let i = 0; i < numericColumns.length; i++) {
						for (let j = i + 1; j < numericColumns.length; j++) {
							for (let k = j + 1; k < numericColumns.length; k++) {
								let xCol = numericColumns[i];
								let yCol = numericColumns[j];
								let zCol = numericColumns[k];
			
								let xIndex = tab_results_headers_json.indexOf(xCol);
								let yIndex = tab_results_headers_json.indexOf(yCol);
								let zIndex = tab_results_headers_json.indexOf(zCol);
			
								let data = tab_results_csv_json.map(row => ({
									x: parseFloat(row[xIndex]),
									y: parseFloat(row[yIndex]),
									z: parseFloat(row[zIndex]),
									result: row[resultIndex] !== "" ? parseFloat(row[resultIndex]) : null
								}));
			
								data = data.filter(d => d.result >= minResult && d.result <= maxResult);
			
								let layoutTitle = `${xCol} (x) vs ${yCol} (y) vs ${zCol} (z), result: ${selectedResult}`;
								let layout = {
									title: layoutTitle,
									scene: {
										xaxis: {
											title: get_axis_title_data(xCol)
										},
										yaxis: {
											title: get_axis_title_data(yCol)
										},
										zaxis: {
											title: get_axis_title_data(zCol)
										}
									},
									showlegend: false
								};
			
								let spinnerContainer = document.createElement("div");
								spinnerContainer.style.display = "flex";
								spinnerContainer.style.alignItems = "center";
								spinnerContainer.style.justifyContent = "center";
								spinnerContainer.style.width = layout.width + "px";
								spinnerContainer.style.height = layout.height + "px";
								spinnerContainer.style.position = "relative";
			
								let spinner = document.createElement("div");
								spinner.className = "spinner";
								spinner.style.width = "40px";
								spinner.style.height = "40px";
			
								let loadingText = document.createElement("span");
								loadingText.innerText = `Loading ${layoutTitle}`;
								loadingText.style.marginLeft = "10px";
			
								spinnerContainer.appendChild(spinner);
								spinnerContainer.appendChild(loadingText);
			
								plotDiv.appendChild(spinnerContainer);
			
								await new Promise(resolve => setTimeout(resolve, 50));
			
								let colors = data.map(d => {
									if (d.result === null) {
										return 'rgb(0, 0, 0)';
									} else {
										let norm = (d.result - minResult) / (maxResult - minResult);
										if (invertColor) {
											norm = 1 - norm;
										}
										return `rgb(${Math.round(255 * norm)}, ${Math.round(255 * (1 - norm))}, 0)`;
									}
								});
			
								let trace = {
									x: data.map(d => d.x),
									y: data.map(d => d.y),
									z: data.map(d => d.z),
									mode: 'markers',
									marker: {
										size: get_marker_size(),
										color: data.map(d => d.result !== null ? d.result : null),
										colorscale: invertColor ? [
											[0, 'red'],
											[1, 'green']
										] : [
											[0, 'green'],
											[1, 'red']
										],
										colorbar: {
											title: 'Result',
											tickvals: [minResult, maxResult],
											ticktext: [`${minResult}`, `${maxResult}`]
										},
									},
									text: data.map(d => d.result !== null ? `Result: ${d.result}` : 'No result'),
									type: 'scatter3d',
									showlegend: false
								};
			
								let subDiv = document.createElement("div");
								try {
									plotDiv.replaceChild(subDiv, spinnerContainer);
								} catch (err) {
									//
								}
								Plotly.newPlot(subDiv, [trace], add_default_layout_data(layout));
							}
						}
					}
				}
			
				$("#plotScatter3d").data("loaded", "true");
			}
			
			async function plot_worker_cpu_ram() {
				if($("#worker_cpu_ram_pre").data("loaded") == "true") {
					return;
				}
			
				const logData = $("#worker_cpu_ram_pre").text();
				const regex = /^Unix-Timestamp: (\d+), Hostname: ([\w-]+), CPU: ([\d.]+)%, RAM: ([\d.]+) MB \/ ([\d.]+) MB$/;
			
				const hostData = {};
			
				logData.split("\n").forEach(line => {
					line = line.trim();
					const match = line.match(regex);
					if (match) {
						const timestamp = new Date(parseInt(match[1]) * 1000);
						const hostname = match[2];
						const cpu = parseFloat(match[3]);
						const ram = parseFloat(match[4]);
			
						if (!hostData[hostname]) {
							hostData[hostname] = { timestamps: [], cpuUsage: [], ramUsage: [] };
						}
			
						hostData[hostname].timestamps.push(timestamp);
						hostData[hostname].cpuUsage.push(cpu);
						hostData[hostname].ramUsage.push(ram);
					}
				});
			
				if (!Object.keys(hostData).length) {
					console.log("No valid data found");
					return;
				}
			
				const container = document.getElementById("cpuRamWorkerChartContainer");
				container.innerHTML = "";
			
				var i = 1;
			
				Object.entries(hostData).forEach(([hostname, { timestamps, cpuUsage, ramUsage }], index) => {
					const chartId = `workerChart_${index}`;
					const chartDiv = document.createElement("div");
					chartDiv.id = chartId;
					chartDiv.style.marginBottom = "40px";
					container.appendChild(chartDiv);
			
					const cpuTrace = {
						x: timestamps,
						y: cpuUsage,
						mode: "lines+markers",
						name: "CPU Usage (%)",
						yaxis: "y1",
						line: {
							color: "red"
						}
					};
			
					const ramTrace = {
						x: timestamps,
						y: ramUsage,
						mode: "lines+markers",
						name: "RAM Usage (MB)",
						yaxis: "y2",
						line: {
							color: "blue"
						}
					};
			
					const layout = {
						title: `Worker CPU and RAM Usage - ${hostname}`,
						xaxis: {
							title: get_axis_title_data("Timestamp", "date")
						},
						yaxis: {
							title: get_axis_title_data("CPU Usage (%)"),
							side: "left",
							color: "red"
						},
						yaxis2: {
							title: get_axis_title_data("RAM Usage (MB)"),
							side: "right",
							overlaying: "y",
							color: "blue"
						},
						showlegend: true
					};
			
					Plotly.newPlot(chartId, [cpuTrace, ramTrace], add_default_layout_data(layout));
					i++;
				});
			
				$("#plot_worker_cpu_ram_button").remove();
				$("#worker_cpu_ram_pre").data("loaded", "true");
			}
			
			function load_log_file(log_nr, filename) {
				var pre_id = `single_run_${log_nr}_pre`;
			
				if (!$("#" + pre_id).data("loaded")) {
					const params = new URLSearchParams(window.location.search);
			
					const user_id = params.get('user_id');
					const experiment_name = params.get('experiment_name');
					const run_nr = params.get('run_nr');
			
					var url = `get_log?user_id=${user_id}&experiment_name=${experiment_name}&run_nr=${run_nr}&filename=${filename}`;
			
					fetch(url)
						.then(response => response.json())
						.then(data => {
							if (data.data) {
								$("#" + pre_id).html(data.data);
								$("#" + pre_id).data("loaded", true);
							} else {
								log(`No 'data' key found in response.`);
							}
			
							$("#spinner_log_" + log_nr).remove();
						})
						.catch(error => {
							log(`Error loading log: ${error}`);
							$("#spinner_log_" + log_nr).remove();
						});
				}
			}
			
			function load_debug_log () {
				var pre_id = `here_debuglogs_go`;
			
				if (!$("#" + pre_id).data("loaded")) {
					const params = new URLSearchParams(window.location.search);
			
					const user_id = params.get('user_id');
					const experiment_name = params.get('experiment_name');
					const run_nr = params.get('run_nr');
			
					var url = `get_debug_log?user_id=${user_id}&experiment_name=${experiment_name}&run_nr=${run_nr}`;
			
					fetch(url)
						.then(response => response.json())
						.then(data => {
							$("#debug_log_spinner").remove();
			
							if (data.data) {
								try {
									$("#" + pre_id).html(data.data);
								} catch (err) {
									$("#" + pre_id).text(`Error loading data: ${err}`);
								}
			
								$("#" + pre_id).data("loaded", true);
			
								if (typeof apply_theme_based_on_system_preferences === 'function') {
									apply_theme_based_on_system_preferences();
								}
							} else {
								log(`No 'data' key found in response.`);
							}
						})
						.catch(error => {
							log(`Error loading log: ${error}`);
							$("#debug_log_spinner").remove();
						});
				}
			}
			
			function plotBoxplot() {
				if ($("#plotBoxplot").data("loaded") == "true") {
					return;
				}
				var numericColumns = tab_results_headers_json.filter(col =>
					!special_col_names.includes(col) && !result_names.includes(col) &&
					tab_results_csv_json.every(row => !isNaN(parseFloat(row[tab_results_headers_json.indexOf(col)])))
				);
			
				if (numericColumns.length < 1) {
					console.error("Not enough numeric columns for Boxplot");
					return;
				}
			
				var resultIndex = tab_results_headers_json.findIndex(function(header) {
					return result_names.includes(header.toLowerCase());
				});
				var resultValues = tab_results_csv_json.map(row => row[resultIndex]);
				var minResult = Math.min(...resultValues.filter(value => value !== null && value !== ""));
				var maxResult = Math.max(...resultValues.filter(value => value !== null && value !== ""));
			
				var plotDiv = document.getElementById("plotBoxplot");
				plotDiv.innerHTML = "";
			
				let traces = numericColumns.map(col => {
					let index = tab_results_headers_json.indexOf(col);
					let data = tab_results_csv_json.map(row => parseFloat(row[index]));
			
					return {
						y: data,
						type: 'box',
						name: col,
						boxmean: 'sd',
						marker: {
							color: 'rgb(0, 255, 0)'
						},
					};
				});
			
				let layout = {
					title: 'Boxplot of Numerical Columns',
					xaxis: {
						title: get_axis_title_data("Columns")
					},
					yaxis: {
						title: get_axis_title_data("Value")
					},
					showlegend: false
				};
			
				Plotly.newPlot(plotDiv, traces, add_default_layout_data(layout));
				$("#plotBoxplot").data("loaded", "true");
			}
			
			function plotHeatmap() {
				if ($("#plotHeatmap").data("loaded") === "true") {
					return;
				}
			
				var numericColumns = tab_results_headers_json.filter(col => {
					if (special_col_names.includes(col) || result_names.includes(col)) {
						return false;
					}
					let index = tab_results_headers_json.indexOf(col);
					return tab_results_csv_json.every(row => {
						let value = parseFloat(row[index]);
						return !isNaN(value) && isFinite(value);
					});
				});
			
				if (numericColumns.length < 2) {
					console.error("Not enough valid numeric columns for Heatmap");
					return;
				}
			
				var columnData = numericColumns.map(col => {
					let index = tab_results_headers_json.indexOf(col);
					return tab_results_csv_json.map(row => parseFloat(row[index]));
				});
			
				var dataMatrix = numericColumns.map((_, i) =>
					numericColumns.map((_, j) => {
						let values = columnData[i].map((val, index) => (val + columnData[j][index]) / 2);
						return values.reduce((a, b) => a + b, 0) / values.length;
					})
				);
			
				var trace = {
					z: dataMatrix,
					x: numericColumns,
					y: numericColumns,
					colorscale: 'Viridis',
					type: 'heatmap'
				};
			
				var layout = {
					xaxis: {
						title: get_axis_title_data("Columns")
					},
					yaxis: {
						title: get_axis_title_data("Columns")
					},
					showlegend: false
				};
			
				var plotDiv = document.getElementById("plotHeatmap");
				plotDiv.innerHTML = "";
			
				Plotly.newPlot(plotDiv, [trace], add_default_layout_data(layout));
				$("#plotHeatmap").data("loaded", "true");
			}
			
			function plotHistogram() {
				if ($("#plotHistogram").data("loaded") == "true") {
					return;
				}
			
				var numericColumns = tab_results_headers_json.filter(col =>
					!special_col_names.includes(col) && !result_names.includes(col) &&
					tab_results_csv_json.every(row => !isNaN(parseFloat(row[tab_results_headers_json.indexOf(col)])))
				);
			
				if (numericColumns.length < 1) {
					console.error("Not enough columns for Histogram");
					return;
				}
			
				var plotDiv = document.getElementById("plotHistogram");
				plotDiv.innerHTML = "";
			
				const colorPalette = ['#ff9999', '#66b3ff', '#99ff99', '#ffcc99', '#c2c2f0', '#ffb3e6'];
			
				let traces = numericColumns.map((col, index) => {
					let data = tab_results_csv_json.map(row => parseFloat(row[tab_results_headers_json.indexOf(col)]));
			
					return {
						x: data,
						type: 'histogram',
						name: col,
						opacity: 0.7,
						marker: {
							color: colorPalette[index % colorPalette.length]
						},
						autobinx: true
					};
				});
			
				let layout = {
					title: 'Histogram of Numerical Columns',
					xaxis: {
						title: get_axis_title_data("Value")
					},
					yaxis: {
						title: get_axis_title_data("Frequency")
					},
					showlegend: true,
					barmode: 'overlay'
				};
			
				Plotly.newPlot(plotDiv, traces, add_default_layout_data(layout));
				$("#plotHistogram").data("loaded", "true");
			}
			
			function plotViolin() {
				if ($("#plotViolin").data("loaded") == "true") {
					return;
				}
				var numericColumns = tab_results_headers_json.filter(col =>
					!special_col_names.includes(col) && !result_names.includes(col) &&
					tab_results_csv_json.every(row => !isNaN(parseFloat(row[tab_results_headers_json.indexOf(col)])))
				);
			
				if (numericColumns.length < 1) {
					console.error("Not enough columns for Violin Plot");
					return;
				}
			
				var plotDiv = document.getElementById("plotViolin");
				plotDiv.innerHTML = "";
			
				let traces = numericColumns.map(col => {
					let index = tab_results_headers_json.indexOf(col);
					let data = tab_results_csv_json.map(row => parseFloat(row[index]));
			
					return {
						y: data,
						type: 'violin',
						name: col,
						box: {
							visible: true
						},
						line: {
							color: 'rgb(0, 255, 0)'
						},
						marker: {
							color: 'rgb(0, 255, 0)'
						},
						meanline: {
							visible: true
						},
					};
				});
			
				let layout = {
					title: 'Violin Plot of Numerical Columns',
					yaxis: {
						title: get_axis_title_data("Value")
					},
					xaxis: {
						title: get_axis_title_data("Columns")
					},
					showlegend: false
				};
			
				Plotly.newPlot(plotDiv, traces, add_default_layout_data(layout));
				$("#plotViolin").data("loaded", "true");
			}
			
			function plotExitCodesPieChart() {
				if ($("#plotExitCodesPieChart").data("loaded") == "true") {
					return;
				}
			
				var exitCodes = tab_job_infos_csv_json.map(row => row[tab_job_infos_headers_json.indexOf("exit_code")]);
			
				var exitCodeCounts = exitCodes.reduce(function(counts, exitCode) {
					counts[exitCode] = (counts[exitCode] || 0) + 1;
					return counts;
				}, {});
			
				var labels = Object.keys(exitCodeCounts);
				var values = Object.values(exitCodeCounts);
			
				var plotDiv = document.getElementById("plotExitCodesPieChart");
				plotDiv.innerHTML = "";
			
				var trace = {
					labels: labels,
					values: values,
					type: 'pie',
					hoverinfo: 'label+percent',
					textinfo: 'label+value',
					marker: {
						colors: ['#ff9999','#66b3ff','#99ff99','#ffcc99','#c2c2f0']
					}
				};
			
				var layout = {
					title: 'Exit Code Distribution',
					showlegend: true
				};
			
				Plotly.newPlot(plotDiv, [trace], add_default_layout_data(layout));
				$("#plotExitCodesPieChart").data("loaded", "true");
			}
			
			function plotResultEvolution() {
				if ($("#plotResultEvolution").data("loaded") == "true") {
					return;
				}
			
				result_names.forEach(resultName => {
					var relevantColumns = tab_results_headers_json.filter(col =>
						!special_col_names.includes(col) && !col.startsWith("OO_Info") && col.toLowerCase() !== resultName.toLowerCase()
					);
			
					var xColumnIndex = tab_results_headers_json.indexOf("trial_index");
					var resultIndex = tab_results_headers_json.indexOf(resultName);
			
					let data = tab_results_csv_json.map(row => ({
						x: row[xColumnIndex],
						y: parseFloat(row[resultIndex])
					}));
			
					data.sort((a, b) => a.x - b.x);
			
					let xData = data.map(item => item.x);
					let yData = data.map(item => item.y);
			
					let trace = {
						x: xData,
						y: yData,
						mode: 'lines+markers',
						name: resultName,
						line: {
							shape: 'linear'
						},
						marker: {
							size: get_marker_size()
						}
					};
			
					let layout = {
						title: `Evolution of ${resultName} over time`,
						xaxis: {
							title: get_axis_title_data("Trial-Index")
						},
						yaxis: {
							title: get_axis_title_data(resultName)
						},
						showlegend: true
					};
			
					let subDiv = document.createElement("div");
					document.getElementById("plotResultEvolution").appendChild(subDiv);
			
					Plotly.newPlot(subDiv, [trace], add_default_layout_data(layout));
				});
			
				$("#plotResultEvolution").data("loaded", "true");
			}
			
			function plotResultPairs() {
				if ($("#plotResultPairs").data("loaded") == "true") {
					return;
				}
			
				var plotDiv = document.getElementById("plotResultPairs");
				plotDiv.innerHTML = "";
			
				for (let i = 0; i < result_names.length; i++) {
					for (let j = i + 1; j < result_names.length; j++) {
						let xName = result_names[i];
						let yName = result_names[j];
			
						let xIndex = tab_results_headers_json.indexOf(xName);
						let yIndex = tab_results_headers_json.indexOf(yName);
			
						let data = tab_results_csv_json
							.filter(row => row[xIndex] !== "" && row[yIndex] !== "")
							.map(row => ({
								x: parseFloat(row[xIndex]),
								y: parseFloat(row[yIndex]),
								status: row[tab_results_headers_json.indexOf("trial_status")]
							}));
			
						let colors = data.map(d => d.status === "COMPLETED" ? 'green' : (d.status === "FAILED" ? 'red' : 'gray'));
			
						let trace = {
							x: data.map(d => d.x),
							y: data.map(d => d.y),
							mode: 'markers',
							marker: {
								size: get_marker_size(),
								color: colors
							},
							text: data.map(d => `Status: ${d.status}`),
							type: 'scatter',
							showlegend: false
						};
			
						let layout = {
							xaxis: {
								title: get_axis_title_data(xName)
							},
							yaxis: {
								title: get_axis_title_data(yName)
							},
							showlegend: false
						};
			
						let subDiv = document.createElement("div");
						plotDiv.appendChild(subDiv);
			
						Plotly.newPlot(subDiv, [trace], add_default_layout_data(layout));
					}
				}
			
				$("#plotResultPairs").data("loaded", "true");
			}
			
			function add_up_down_arrows_for_scrolling () {
				const upArrow = document.createElement('div');
				const downArrow = document.createElement('div');
			
				const style = document.createElement('style');
				style.innerHTML = `
					.scroll-arrow {
						position: fixed;
						right: 10px;
						z-index: 100;
						cursor: pointer;
						font-size: 25px;
						display: none;
						background-color: green;
						color: white;
						padding: 5px;
						outline: 2px solid white;
						box-shadow: 0 0 10px rgba(0, 0, 0, 0.5);
						transition: background-color 0.3s, transform 0.3s;
					}
					.scroll-arrow:hover {
						background-color: darkgreen;
						transform: scale(1.1);
					}
					#up-arrow {
						top: 10px;
					}
					#down-arrow {
						bottom: 10px;
					}
				`;
				document.head.appendChild(style);
			
				upArrow.id = "up-arrow";
				upArrow.classList.add("scroll-arrow");
				upArrow.classList.add("invert_in_dark_mode");
				upArrow.innerHTML = "&#8593;";
			
				downArrow.id = "down-arrow";
				downArrow.classList.add("scroll-arrow");
				downArrow.classList.add("invert_in_dark_mode");
				downArrow.innerHTML = "&#8595;";
			
				document.body.appendChild(upArrow);
				document.body.appendChild(downArrow);
			
				function checkScrollPosition() {
					const scrollPosition = window.scrollY;
					const pageHeight = document.documentElement.scrollHeight;
					const windowHeight = window.innerHeight;
			
					if (scrollPosition > 0) {
						upArrow.style.display = "block";
					} else {
						upArrow.style.display = "none";
					}
			
					if (scrollPosition + windowHeight < pageHeight) {
						downArrow.style.display = "block";
					} else {
						downArrow.style.display = "none";
					}
				}
			
				window.addEventListener("scroll", checkScrollPosition);
			
				upArrow.addEventListener("click", function () {
					window.scrollTo({ top: 0, behavior: 'smooth' });
				});
			
				downArrow.addEventListener("click", function () {
					window.scrollTo({ top: document.documentElement.scrollHeight, behavior: 'smooth' });
				});
			
				checkScrollPosition();
			
				if (typeof apply_theme_based_on_system_preferences === 'function') {
					apply_theme_based_on_system_preferences();
				}
			}
			
			function plotGPUUsage() {
				if ($("#tab_gpu_usage").data("loaded") === "true") {
					return;
				}
			
				Object.keys(gpu_usage).forEach(node => {
					const nodeData = gpu_usage[node];
			
					var timestamps = [];
					var gpuUtilizations = [];
					var temperatures = [];
			
					nodeData.forEach(entry => {
						try {
							var timestamp = new Date(entry[0]* 1000);
							var utilization = parseFloat(entry[1]);
							var temperature = parseFloat(entry[2]);
			
							if (!isNaN(timestamp) && !isNaN(utilization) && !isNaN(temperature)) {
								timestamps.push(timestamp);
								gpuUtilizations.push(utilization);
								temperatures.push(temperature);
							} else {
								console.warn("Invalid data point:", entry);
							}
						} catch (error) {
							console.error("Error processing GPU data entry:", error, entry);
						}
					});
			
					var trace1 = {
						x: timestamps,
						y: gpuUtilizations,
						mode: 'lines+markers',
						marker: {
							size: get_marker_size(),
						},
						name: 'GPU Utilization (%)',
						type: 'scatter',
						yaxis: 'y1'
					};
			
					var trace2 = {
						x: timestamps,
						y: temperatures,
						mode: 'lines+markers',
						marker: {
							size: get_marker_size(),
						},
						name: 'GPU Temperature (°C)',
						type: 'scatter',
						yaxis: 'y2'
					};
			
					var layout = {
						title: 'GPU Usage Over Time - ' + node,
						xaxis: {
							title: get_axis_title_data("Timestamp", "date"),
							tickmode: 'array',
							tickvals: timestamps.filter((_, index) => index % Math.max(Math.floor(timestamps.length / 10), 1) === 0),
							ticktext: timestamps.filter((_, index) => index % Math.max(Math.floor(timestamps.length / 10), 1) === 0).map(t => t.toLocaleString()),
							tickangle: -45
						},
						yaxis: {
							title: get_axis_title_data("GPU Utilization (%)"),
							overlaying: 'y',
							rangemode: 'tozero'
						},
						yaxis2: {
							title: get_axis_title_data("GPU Temperature (°C)"),
							overlaying: 'y',
							side: 'right',
							position: 0.85,
							rangemode: 'tozero'
						},
						legend: {
							x: 0.1,
							y: 0.9
						}
					};
			
					var divId = 'gpu_usage_plot_' + node;
			
					if (!document.getElementById(divId)) {
						var div = document.createElement('div');
						div.id = divId;
						div.className = 'gpu-usage-plot';
						document.getElementById('tab_gpu_usage').appendChild(div);
					}
			
					var plotData = [trace1, trace2];
			
					Plotly.newPlot(divId, plotData, add_default_layout_data(layout));
				});
			
				$("#tab_gpu_usage").data("loaded", "true");
			}
			
			function plotResultsDistributionByGenerationMethod() {
				if ("true" === $("#plotResultsDistributionByGenerationMethod").data("loaded")) {
					return;
				}
			
				var res_col = result_names[0];
				var gen_method_col = "generation_node";
			
				var data = {};
			
				tab_results_csv_json.forEach(row => {
					var gen_method = row[tab_results_headers_json.indexOf(gen_method_col)];
					var result = row[tab_results_headers_json.indexOf(res_col)];
			
					if (!data[gen_method]) {
						data[gen_method] = [];
					}
					data[gen_method].push(result);
				});
			
				var traces = Object.keys(data).map(method => {
					return {
						y: data[method],
						type: 'box',
						name: method,
						boxpoints: 'outliers',
						jitter: 0.5,
						pointpos: 0
					};
				});
			
				var layout = {
					title: 'Distribution of Results by Generation Method',
					yaxis: {
						title: get_axis_title_data(res_col)
					},
					xaxis: {
						title: get_axis_title_data("Generation Method")
					},
					boxmode: 'group'
				};
			
				Plotly.newPlot("plotResultsDistributionByGenerationMethod", traces, add_default_layout_data(layout));
				$("#plotResultsDistributionByGenerationMethod").data("loaded", "true");
			}
			
			function plotJobStatusDistribution() {
				if ($("#plotJobStatusDistribution").data("loaded") === "true") {
					return;
				}
			
				var status_col = "trial_status";
				var status_counts = {};
			
				tab_results_csv_json.forEach(row => {
					var status = row[tab_results_headers_json.indexOf(status_col)];
					if (status) {
						status_counts[status] = (status_counts[status] || 0) + 1;
					}
				});
			
				var statuses = Object.keys(status_counts);
				var counts = Object.values(status_counts);
			
				var colors = statuses.map((status, i) =>
					status === "FAILED" ? "#FF0000" : `hsl(${30 + ((i * 137) % 330)}, 70%, 50%)`
				);
			
				var trace = {
					x: statuses,
					y: counts,
					type: 'bar',
					marker: { color: colors }
				};
			
				var layout = {
					title: 'Distribution of Job Status',
					xaxis: { title: 'Trial Status' },
					yaxis: { title: 'Nr. of jobs' }
				};
			
				Plotly.newPlot("plotJobStatusDistribution", [trace], add_default_layout_data(layout));
				$("#plotJobStatusDistribution").data("loaded", "true");
			}
			
			function _colorize_table_entries_by_generation_method () {
				document.querySelectorAll('[data-column-id="generation_node"]').forEach(el => {
					let text = el.textContent.toLowerCase();
					let color = text.includes("manual") ? "green" :
						text.includes("sobol") ? "orange" :
						text.includes("saasbo") ? "pink" :
						text.includes("uniform") ? "lightblue" :
						text.includes("legacy_gpei") ? "sienna" :
						text.includes("bo_mixed") ? "aqua" :
						text.includes("randomforest") ? "darkseagreen" :
						text.includes("external_generator") ? "purple" :
						text.includes("botorch") ? "yellow" : "";
					if (color !== "") {
						el.style.backgroundColor = color;
					}
					el.classList.add("invert_in_dark_mode");
				});
			}
			
			function _colorize_table_entries_by_trial_status () {
				document.querySelectorAll('[data-column-id="trial_status"]').forEach(el => {
					let color = el.textContent.includes("COMPLETED") ? "lightgreen" :
						el.textContent.includes("RUNNING") ? "orange" :
						el.textContent.includes("FAILED") ? "red" :
						el.textContent.includes("ABANDONED") ? "yellow" : "";
					if (color) el.style.backgroundColor = color;
					el.classList.add("invert_in_dark_mode");
				});
			}
			
			function _colorize_table_entries_by_run_time() {
				let cells = [...document.querySelectorAll('[data-column-id="run_time"]')];
				if (cells.length === 0) return;
			
				let values = cells.map(el => parseFloat(el.textContent)).filter(v => !isNaN(v));
				if (values.length === 0) return;
			
				let min = Math.min(...values);
				let max = Math.max(...values);
				let range = max - min || 1;
			
				cells.forEach(el => {
					let value = parseFloat(el.textContent);
					if (isNaN(value)) return;
			
					let ratio = (value - min) / range;
					let red = Math.round(255 * ratio);
					let green = Math.round(255 * (1 - ratio));
			
					el.style.backgroundColor = `rgb(${red}, ${green}, 0)`;
					el.classList.add("invert_in_dark_mode");
				});
			}
			
			function _colorize_table_entries_by_results() {
				result_names.forEach((name, index) => {
					let minMax = result_min_max[index];
					let selector_query = `[data-column-id="${name}"]`;
					let cells = [...document.querySelectorAll(selector_query)];
					if (cells.length === 0) return;
			
					let values = cells.map(el => parseFloat(el.textContent)).filter(v => v > 0 && !isNaN(v));
					if (values.length === 0) return;
			
					let logValues = values.map(v => Math.log(v));
					let logMin = Math.min(...logValues);
					let logMax = Math.max(...logValues);
					let logRange = logMax - logMin || 1;
			
					cells.forEach(el => {
						let value = parseFloat(el.textContent);
						if (isNaN(value) || value <= 0) return;
			
						let logValue = Math.log(value);
						let ratio = (logValue - logMin) / logRange;
						if (minMax === "max") ratio = 1 - ratio;
			
						let red = Math.round(255 * ratio);
						let green = Math.round(255 * (1 - ratio));
			
						el.style.backgroundColor = `rgb(${red}, ${green}, 0)`;
						el.classList.add("invert_in_dark_mode");
					});
				});
			}
			
			function _colorize_table_entries_by_generation_node_or_hostname() {
				["hostname", "generation_node"].forEach(element => {
					let selector_query = '[data-column-id="' + element + '"]:not(.gridjs-th)';
					let cells = [...document.querySelectorAll(selector_query)];
					if (cells.length === 0) return;
			
					let uniqueValues = [...new Set(cells.map(el => el.textContent.trim()))];
					let colorMap = {};
			
					uniqueValues.forEach((value, index) => {
						let hue = Math.round((360 / uniqueValues.length) * index);
						colorMap[value] = `hsl(${hue}, 70%, 60%)`;
					});
			
					cells.forEach(el => {
						let value = el.textContent.trim();
						if (colorMap[value]) {
							el.style.backgroundColor = colorMap[value];
							el.classList.add("invert_in_dark_mode");
						}
					});
				});
			}
			
			function colorize_table_entries () {
				setTimeout(() => {
					if (typeof result_names !== "undefined" && Array.isArray(result_names) && result_names.length > 0) {
						_colorize_table_entries_by_trial_status();
						_colorize_table_entries_by_results();
						_colorize_table_entries_by_run_time();
						_colorize_table_entries_by_generation_method();
						_colorize_table_entries_by_generation_node_or_hostname();
						if (typeof apply_theme_based_on_system_preferences === 'function') {
							apply_theme_based_on_system_preferences();
						}
					}
				}, 300);
			}
			
			function add_colorize_to_gridjs_table () {
				let searchInput = document.querySelector(".gridjs-search-input");
				if (searchInput) {
					searchInput.addEventListener("input", colorize_table_entries);
				}
			}
			
			function updatePreWidths() {
				var width = window.innerWidth * 0.95;
				var pres = document.getElementsByTagName('pre');
				for (var i = 0; i < pres.length; i++) {
					pres[i].style.width = width + 'px';
				}
			}
			
			function demo_mode(nr_sec = 3) {
				let i = 0;
				let tabs = $('menu[role="tablist"] > button');
			
				setInterval(() => {
					tabs.attr('aria-selected', 'false').removeClass('active');
			
					let tab = tabs.eq(i % tabs.length);
					tab.attr('aria-selected', 'true').addClass('active');
			
					tab.trigger('click');
			
					i++;
				}, nr_sec * 1000);
			}
			
			function resizePlotlyCharts() {
				const plotlyElements = document.querySelectorAll('.js-plotly-plot');
			
				if (plotlyElements.length) {
					const windowWidth = window.innerWidth;
					const windowHeight = window.innerHeight;
			
					const newWidth = windowWidth * 0.9;
					const newHeight = windowHeight * 0.9;
			
					plotlyElements.forEach(function(element, index) {
						const layout = {
							width: newWidth,
							height: newHeight,
							plot_bgcolor: 'rgba(0, 0, 0, 0)',
							paper_bgcolor: 'rgba(0, 0, 0, 0)',
						};
			
						Plotly.relayout(element, layout)
					});
				}
			
				make_text_in_parallel_plot_nicer();
				apply_theme_based_on_system_preferences();
			}
			
			window.addEventListener('load', updatePreWidths);
			window.addEventListener('resize', updatePreWidths);
			
			$(document).ready(function() {
				colorize_table_entries();
			
				add_up_down_arrows_for_scrolling();
			
				add_colorize_to_gridjs_table();
			});
			
			window.addEventListener('resize', function() {
				resizePlotlyCharts();
			});
			
			"use strict";
			
			function get_row_by_index(idx) {
				if (!Object.keys(window).includes("tab_results_csv_json")) {
					error("tab_results_csv_json is not defined");
					return;
				}
			
				if (!Object.keys(window).includes("tab_results_headers_json")) {
					error("tab_results_headers_json is not defined");
					return;
				}
			
			
				var trial_index_col_idx = tab_results_headers_json.indexOf("trial_index");
			
				if(trial_index_col_idx == -1) {
					error(`"trial_index" could not be found in tab_results_headers_json. Cannot continue`);
			
					return null;
				}
			
				for (var i = 0; i < tab_results_csv_json.length; i++) {
					var row = tab_results_csv_json[i];
					var trial_index = row[trial_index_col_idx];
			
					if (trial_index == idx) {
						return row;
					}
				}
			
				return null;
			}
			
			function load_pareto_graph_from_idxs () {
				if (!Object.keys(window).includes("pareto_idxs")) {
					error("pareto_idxs is not defined");
					return;
				}
			
				if (!Object.keys(window).includes("tab_results_csv_json")) {
					error("tab_results_csv_json is not defined");
					return;
				}
			
				if (!Object.keys(window).includes("tab_results_headers_json")) {
					error("tab_results_headers_json is not defined");
					return;
				}
			
				if(pareto_idxs === null) {
					var err_msg = "pareto_idxs is null. Cannot plot or create tables from empty data. This can be caused by a defective <tt>pareto_idxs.json</tt> file. Please try reloading, or re-calculating the pareto-front and re-submitting if this problem persists.";
					$("#pareto_from_idxs_table").html(`<div class="caveat alarm">${err_msg}</div>`);
					return;	
				}
			
				var table = get_pareto_table_data_from_idx();
			
				var html_tables = createParetoTablesFromData(table);
			
				$("#pareto_from_idxs_table").html(html_tables);
			
				renderParetoFrontPlots(table);
			
				apply_theme_based_on_system_preferences();
			}
			
			function renderParetoFrontPlots(data) {
				try {
					let container = document.getElementById("pareto_front_idxs_plot_container");
					if (!container) {
						console.error("DIV with id 'pareto_front_idxs_plot_container' not found.");
						return;
					}
			
					container.innerHTML = "";
			
					if(data === undefined || data === null) {
						var err_msg = "There was an error getting the data for Pareto-Fronts. See the developer's console to see further details.";
						$("#pareto_from_idxs_table").html(`<div class="caveat alarm">${err_msg}</div>`);
						return;
					}
			
					Object.keys(data).forEach((key, idx) => {
						if (!key.startsWith("Pareto front for ")) return;
			
						let label = key.replace("Pareto front for ", "");
						let [xKey, yKey] = label.split("/");
			
						if (!xKey || !yKey) {
							console.warn("Could not extract two objectives from key:", key);
							return;
						}
			
						let entries = data[key];
						let x = [];
						let y = [];
						let hoverTexts = [];
			
						entries.forEach((entry) => {
							let results = entry.results || {};
							let values = entry.values || {};
			
							let xVal = (results[xKey] || [])[0];
							let yVal = (results[yKey] || [])[0];
			
							if (xVal === undefined || yVal === undefined) {
								console.warn("Missing values for", xKey, yKey, "in", entry);
								return;
							}
			
							x.push(xVal);
							y.push(yVal);
			
							let hoverInfo = [];
			
							if ("trial_index" in values) {
								hoverInfo.push(`<b>Trial Index:</b> ${values.trial_index[0]}`);
							}
			
							Object.keys(values)
								.filter(k => k !== "trial_index")
								.sort()
								.forEach(k => {
									hoverInfo.push(`<b>${k}:</b> ${values[k][0]}`);
								});
			
							Object.keys(results)
								.sort()
								.forEach(k => {
									hoverInfo.push(`<b>${k}:</b> ${results[k][0]}`);
								});
			
							hoverTexts.push(hoverInfo.join("<br>"));
						});
			
						let wrapper = document.createElement("div");
						wrapper.style.marginBottom = "30px";
			
						let titleEl = document.createElement("h3");
						titleEl.textContent = `Pareto Front: ${xKey} (${getMinMaxByResultName(xKey)}) vs ${yKey} (${getMinMaxByResultName(yKey)})`;
						wrapper.appendChild(titleEl);
			
						let divId = `pareto_plot_${idx}`;
						let plotDiv = document.createElement("div");
						plotDiv.id = divId;
						plotDiv.style.width = "100%";
						plotDiv.style.height = "400px";
			
						wrapper.appendChild(plotDiv);
						container.appendChild(wrapper);
			
						let trace = {
							x: x,
							y: y,
							text: hoverTexts,
							hoverinfo: "text",
							mode: "markers",
							type: "scatter",
							marker: {
								size: 8,
								color: 'rgb(31, 119, 180)',
								line: {
									width: 1,
									color: 'black'
								}
							},
							name: label
						};
			
						let layout = {
							xaxis: { title: { text: xKey } },
							yaxis: { title: { text: yKey } },
							margin: { t: 10, l: 60, r: 20, b: 50 },
							hovermode: "closest",
							showlegend: false
						};
			
						Plotly.newPlot(divId, [trace], add_default_layout_data(layout, 1));
					});
				} catch (e) {
					console.error("Error while rendering Pareto front plots:", e);
				}
			}
			
			function createParetoTablesFromData(data) {
				try {
					var container = document.createElement("div");
			
					var parsedData;
					try {
						parsedData = typeof data === "string" ? JSON.parse(data) : data;
					} catch (e) {
						console.error("JSON parsing failed:", e);
						return container;
					}
			
					for (var sectionTitle in parsedData) {
						if (!parsedData.hasOwnProperty(sectionTitle)) {
							continue;
						}
			
						var sectionData = parsedData[sectionTitle];
						var heading = document.createElement("h2");
						heading.textContent = sectionTitle;
						container.appendChild(heading);
			
						var table = document.createElement("table");
						table.style.borderCollapse = "collapse";
						table.style.marginBottom = "2em";
						table.style.width = "100%";
			
						var thead = document.createElement("thead");
						var headerRow = document.createElement("tr");
			
						var allValueKeys = new Set();
						var allResultKeys = new Set();
			
						sectionData.forEach(entry => {
							var values = entry.values || {};
							var results = entry.results || {};
			
							Object.keys(values).forEach(key => {
								allValueKeys.add(key);
							});
			
							Object.keys(results).forEach(key => {
								allResultKeys.add(key);
							});
						});
			
						var sortedValueKeys = Array.from(allValueKeys).sort();
						var sortedResultKeys = Array.from(allResultKeys).sort();
			
						if (sortedValueKeys.includes("trial_index")) {
							sortedValueKeys = sortedValueKeys.filter(k => k !== "trial_index");
							sortedValueKeys.unshift("trial_index");
						}
			
						var allColumns = [...sortedValueKeys, ...sortedResultKeys];
			
						allColumns.forEach(col => {
							var th = document.createElement("th");
							th.textContent = col;
							th.style.border = "1px solid black";
							th.style.padding = "4px";
							headerRow.appendChild(th);
						});
			
						thead.appendChild(headerRow);
						table.appendChild(thead);
			
						var tbody = document.createElement("tbody");
			
						sectionData.forEach(entry => {
							var tr = document.createElement("tr");
			
							allColumns.forEach(col => {
								var td = document.createElement("td");
								td.style.border = "1px solid black";
								td.style.padding = "4px";
			
								var value = null;
			
								if (col in entry.values) {
									value = entry.values[col];
								} else if (col in entry.results) {
									value = entry.results[col];
								}
			
								if (Array.isArray(value)) {
									td.textContent = value.join(", ");
								} else {
									td.textContent = value !== null && value !== undefined ? value : "";
								}
			
								tr.appendChild(td);
							});
			
							tbody.appendChild(tr);
						});
			
						table.appendChild(tbody);
						container.appendChild(table);
					}
			
					return container;
				} catch (err) {
					console.error("Unexpected error:", err);
					var errorDiv = document.createElement("div");
					errorDiv.textContent = "Error generating tables.";
					return errorDiv;
				}
			}
			
			function get_pareto_table_data_from_idx () {
				if (!Object.keys(window).includes("pareto_idxs")) {
					error("pareto_idxs is not defined");
					return;
				}
			
				if (!Object.keys(window).includes("tab_results_csv_json")) {
					error("tab_results_csv_json is not defined");
					return;
				}
			
				if (!Object.keys(window).includes("tab_results_headers_json")) {
					error("tab_results_headers_json is not defined");
					return;
				}
			
				var x_keys = Object.keys(pareto_idxs);
			
				var tables = {};
			
				for (var i = 0; i < x_keys.length; i++) {
					var x_key = x_keys[i];
					var y_keys = Object.keys(pareto_idxs[x_key]);
			
					for (var j = 0; j < y_keys.length; j++) {
						var y_key = y_keys[j];
			
						var indices = pareto_idxs[x_key][y_key];
			
						for (var k = 0; k < indices.length; k++) {
							var idx = indices[k];
							var row = get_row_by_index(idx);
			
							if(row === null) {
								error(`Error getting the row for index ${idx}`);
								return;
							}
			
							var row_dict = {
								"results": {},
								"values": {},
							};
			
							for (var l = 0; l < tab_results_headers_json.length; l++) {
								var header = tab_results_headers_json[l];
			
								if (!special_col_names.includes(header) || header == "trial_index") {
									var val = row[l];
			
									if (result_names.includes(header)) {
										if (!Object.keys(row_dict["results"]).includes(header)) {
											row_dict["results"][header] = [];
										}
			
										row_dict["results"][header].push(val);
									} else {
										if (!Object.keys(row_dict["values"]).includes(header)) {
											row_dict["values"][header] = [];
										}
										row_dict["values"][header].push(val);
									}
								}
								
							}
			
							var table_key = `Pareto front for ${x_key}/${y_key}`;
			
							if(!Object.keys(tables).includes(table_key)) {
								tables[table_key] = [];
							}
			
							tables[table_key].push(row_dict);
						}
			
					}
				}
			
				return tables;
			}
			
			function getMinMaxByResultName(resultName) {
				try {
					if (typeof resultName !== "string") {
						error("Parameter resultName must be a string");
						return;
					}
			
					if (!Array.isArray(result_names)) {
						error("Global variable result_names is not an array or undefined");
						return;
					}
					if (!Array.isArray(result_min_max)) {
						error("Global variable result_min_max is not an array or undefined");
						return;
					}
			
					if (result_names.length !== result_min_max.length) {
						error("Global arrays result_names and result_min_max must have the same length");
						return;
					}
			
					var index = result_names.indexOf(resultName);
					if (index === -1) {
						error("Result name '" + resultName + "' not found in result_names");
						return;
					}
			
					var minMaxValue = result_min_max[index];
			
					if (minMaxValue !== "min" && minMaxValue !== "max") {
						error("Value for result name '" + resultName + "' is invalid: expected 'min' or 'max'");
						return;
					}
			
					return minMaxValue;
			
				} catch (e) {
					error("Unexpected error: " + e.message);
				}
			}
			

			$(document).ready(function() {
				colorize_table_entries();;
				plotWorkerUsage();;
				plotCPUAndRAMUsage();;
				createParallelPlot(tab_results_csv_json, tab_results_headers_json, result_names, special_col_names);;
				plotScatter2d();;
				plotScatter3d();
				plotJobStatusDistribution();;
				plotBoxplot();;
				plotViolin();;
				plotHistogram();;
				plotHeatmap();;
				plotResultPairs();;
				plotResultEvolution();;
				plotExitCodesPieChart();

				colorize_table_entries();
			});
		</script>

					<h1>&nbsp;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>878   </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>1     </td></tr><tr><td> Nr. imported jobs</td><td>378   </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> feature_id</td><td>FixedParameter</td><td></td><td></td><td>10</td><td></td><td></td></tr><tr><td> batch_size</td><td>int</td><td>1</td><td>5000</td><td></td><td>int</td><td>No         </td></tr><tr><td> divergence</td><td>choice</td><td></td><td></td><td>str\(\&#039;H\&#039;\), str\(\&#039;KL\&#039;\)</td><td></td><td></td></tr><tr><td> detect_batch</td><td>choice</td><td></td><td></td><td>1, 2, 3</td><td></td><td></td></tr><tr><td> statistic</td><td>choice</td><td></td><td></td><td>str\(\&#039;stdev\&#039;\), str\(\&#039;tstat\&#039;\)</td><td></td><td></td></tr><tr><td> significance</td><td>float</td><td>0.001</td><td>0.999</td><td></td><td>float</td><td>No         </td></tr><tr><td> subsets</td><td>int</td><td>1</td><td>100</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>35</td>
			<td>576</td>
			<td>11</td>
			<td>622</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>&nbsp;Results</h1>
			<div id='tab_results_csv_table'></div>
			<button class='copy_clipboard_button' onclick='copy_to_clipboard_from_id("tab_results_csv_table_pre")'> Copy raw data to clipboard</button>
			<button onclick='download_as_file("tab_results_csv_table_pre", "results.csv")'> Download &raquo;results.csv&laquo; 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,batch_size,divergence,detect_batch,statistic,significance,subsets,feature_id
0,0_0,COMPLETED,Sobol,GenerationStep_0,0.140000000000000013322676295502,150.000000000000000000000000000000,1404,4168,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.235982951253652567524810024224,7,10
1,1_0,COMPLETED,Sobol,GenerationStep_0,0.140000000000000013322676295502,166.000000000000000000000000000000,4578,1666,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.624174593664705734674669201922,69,10
2,2_0,COMPLETED,Sobol,GenerationStep_0,0.130000000000000004440892098501,143.000000000000000000000000000000,2832,2616,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.916222521752119045679307873797,32,10
3,3_0,COMPLETED,Sobol,GenerationStep_0,0.140000000000000013322676295502,153.000000000000000000000000000000,1201,118,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.286937206793576482510843561613,94,10
4,4_0,COMPLETED,Sobol,GenerationStep_0,0.130000000000000004440892098501,146.000000000000000000000000000000,414,3572,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.044863894633948804557821432581,44,10
5,5_0,COMPLETED,Sobol,GenerationStep_0,0.140000000000000013322676295502,244.000000000000000000000000000000,3608,1071,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.659301901426166292452535344637,82,10
6,6_0,COMPLETED,Sobol,GenerationStep_0,0.130000000000000004440892098501,145.000000000000000000000000000000,3790,4501,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.865522406581789249813141395862,19,10
7,7_0,COMPLETED,Sobol,GenerationStep_0,0.119999999999999995559107901499,133.000000000000000000000000000000,2178,2002,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.493640493884682673986219469953,57,10
8,8_0,COMPLETED,Sobol,GenerationStep_0,0.130000000000000004440892098501,161.000000000000000000000000000000,2223,3092,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.320973186390474451989973658783,45,10
9,9_0,COMPLETED,Sobol,GenerationStep_0,0.130000000000000004440892098501,152.000000000000000000000000000000,4303,593,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.942705598426982760429382324219,81,10
10,10_0,COMPLETED,Sobol,GenerationStep_0,0.130000000000000004440892098501,151.000000000000000000000000000000,3260,4042,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.517805910175666239680936087098,20,10
11,11_0,COMPLETED,Sobol,GenerationStep_0,0.130000000000000004440892098501,144.000000000000000000000000000000,223,1541,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.153248866701498620557231333805,56,10
12,12_0,COMPLETED,Sobol,GenerationStep_0,0.130000000000000004440892098501,143.000000000000000000000000000000,689,4957,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.395063041714951379557163591016,6,10
13,13_0,COMPLETED,Sobol,GenerationStep_0,0.140000000000000013322676295502,132.000000000000000000000000000000,2788,2458,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.774985667647793863288541160728,70,10
14,14_0,COMPLETED,Sobol,GenerationStep_0,0.140000000000000013322676295502,132.000000000000000000000000000000,4767,3388,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.701129112342372518007493908954,31,10
15,15_0,COMPLETED,Sobol,GenerationStep_0,0.140000000000000013322676295502,243.000000000000000000000000000000,1750,887,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.063544318785890938072746791931,95,10
16,16_0,COMPLETED,Sobol,GenerationStep_0,0.140000000000000013322676295502,148.000000000000000000000000000000,1577,3204,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.795426749154925394336146382557,63,10
17,17_0,COMPLETED,Sobol,GenerationStep_0,0.140000000000000013322676295502,155.000000000000000000000000000000,4947,702,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.407829078111797582728570432664,13,10
18,18_0,COMPLETED,Sobol,GenerationStep_0,0.130000000000000004440892098501,130.000000000000000000000000000000,2649,4752,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.115111990924924606494172962812,88,10
19,19_0,COMPLETED,Sobol,GenerationStep_0,0.130000000000000004440892098501,144.000000000000000000000000000000,822,2253,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.745021731935441522409746539779,38,10
20,20_0,COMPLETED,Sobol,GenerationStep_0,0.119999999999999995559107901499,158.000000000000000000000000000000,45,3760,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.986348858792334803879953142314,88,10
21,21_0,COMPLETED,Sobol,GenerationStep_0,0.140000000000000013322676295502,178.000000000000000000000000000000,3434,1259,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.372778796553611735387079306747,38,10
22,22_0,COMPLETED,Sobol,GenerationStep_0,0.130000000000000004440892098501,140.000000000000000000000000000000,4168,2829,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.165765536434948457245042163777,63,10
23,23_0,COMPLETED,Sobol,GenerationStep_0,0.140000000000000013322676295502,142.000000000000000000000000000000,2362,330,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.538484937142580721847195945884,13,10
24,24_0,COMPLETED,Sobol,GenerationStep_0,0.130000000000000004440892098501,151.000000000000000000000000000000,2006,4549,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.646474922200664825489013765036,76,10
25,25_0,COMPLETED,Sobol,GenerationStep_0,0.140000000000000013322676295502,154.000000000000000000000000000000,3968,2050,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.024605522641912104531147775788,50,10
26,26_0,COMPLETED,Sobol,GenerationStep_0,0.130000000000000004440892098501,145.000000000000000000000000000000,3467,3601,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.449565105291083455529843604381,51,10
27,27_0,COMPLETED,Sobol,GenerationStep_0,0.140000000000000013322676295502,155.000000000000000000000000000000,548,1099,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.814015617785975309494972407265,25,10
28,28_0,COMPLETED,Sobol,GenerationStep_0,0.149999999999999994448884876874,173.000000000000000000000000000000,1023,2723,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.572429866844788248769759775314,75,10
29,29_0,COMPLETED,Sobol,GenerationStep_0,0.149999999999999994448884876874,177.000000000000000000000000000000,3005,224,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.192156923746690161403094521120,1,10
30,30_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,157.000000000000000000000000000000,521,520,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.194432190593023773717007429696,46,10
31,31_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,154.000000000000000000000000000000,1128,3244,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.592942334667803883085923644103,16,10
32,32_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,212.000000000000000000000000000000,3827,351,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.197116390324908463682618275925,65,10
33,33_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,155.000000000000000000000000000000,1261,1205,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.731627690931390906037279364682,44,10
34,34_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,168.000000000000000000000000000000,2056,2894,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.585615050055522390337614524469,37,10
35,35_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,155.000000000000000000000000000000,91,2034,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.194921742297411992872468999849,52,10
36,36_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,199.000000000000000000000000000000,2896,1231,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.161700439734271200764581521980,75,10
37,37_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,163.000000000000000000000000000000,4866,2716,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.570436081545377393631213180925,7,10
38,38_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,226.000000000000000000000000000000,1939,2532,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.580663042113623184548032440944,1,10
39,39_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,141.000000000000000000000000000000,197,1482,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.664447180975545337311416460579,14,10
40,40_0,COMPLETED,BoTorch,GenerationStep_1,0.130000000000000004440892098501,190.000000000000000000000000000000,265,859,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.168419260614207033643907607257,70,10
41,41_0,COMPLETED,BoTorch,GenerationStep_1,0.130000000000000004440892098501,168.000000000000000000000000000000,1878,3634,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.590967472764841628141141427477,88,10
42,42_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,504.000000000000000000000000000000,3276,48,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.286835663452599698430844910035,62,10
43,43_0,COMPLETED,BoTorch,GenerationStep_1,0.130000000000000004440892098501,137.000000000000000000000000000000,3447,1807,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.800233173814109521870818753086,46,10
44,44_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,263.000000000000000000000000000000,5000,1143,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.150939009979358801372129050833,100,10
45,45_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,330.000000000000000000000000000000,1511,586,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.155035399922507782788372310279,82,10
46,46_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,542.000000000000000000000000000000,4385,92,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.306466366676051593653795634964,73,10
47,47_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,188.000000000000000000000000000000,2554,98,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.151581626463677815452868458124,43,10
48,48_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,144.000000000000000000000000000000,4327,1235,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.197188602583292543757309545072,44,10
49,49_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,184.000000000000000000000000000000,47,912,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.168638677526406405293712964522,55,10
50,50_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,142.000000000000000000000000000000,3286,1481,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.546291373864108309454934442329,24,10
51,51_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,312.000000000000000000000000000000,3394,77,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.108558739065071810370177729510,55,10
52,52_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,140.000000000000000000000000000000,1090,2380,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.792366571805045216692064968811,28,10
53,53_0,COMPLETED,BoTorch,GenerationStep_1,0.130000000000000004440892098501,138.000000000000000000000000000000,140,2503,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.461554210259903840984918588219,99,10
54,54_0,COMPLETED,BoTorch,GenerationStep_1,0.130000000000000004440892098501,133.000000000000000000000000000000,404,2113,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.549645108422963213357093081868,15,10
55,55_0,COMPLETED,BoTorch,GenerationStep_1,0.130000000000000004440892098501,144.000000000000000000000000000000,2359,1155,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.252084181528849149422910613794,5,10
56,56_0,COMPLETED,BoTorch,GenerationStep_1,0.130000000000000004440892098501,172.000000000000000000000000000000,3505,2520,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.126328792448524074298887853729,100,10
57,57_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,155.000000000000000000000000000000,3029,971,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.247238398404949571984801082181,53,10
58,58_0,FAILED,BoTorch,GenerationStep_1,,,916,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.122200394985006177694941698064,100,10
59,59_0,COMPLETED,BoTorch,GenerationStep_1,0.130000000000000004440892098501,167.000000000000000000000000000000,2000,3508,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.642227342519929855768623383483,52,10
60,60_0,COMPLETED,BoTorch,GenerationStep_1,0.130000000000000004440892098501,151.000000000000000000000000000000,1379,2126,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.376066347446755655514749605572,77,10
61,61_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,143.000000000000000000000000000000,1386,1871,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.757204264813996941185791911266,24,10
62,62_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,233.000000000000000000000000000000,1741,1882,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.518427212304175655255278343247,1,10
63,63_0,COMPLETED,BoTorch,GenerationStep_1,0.130000000000000004440892098501,132.000000000000000000000000000000,1102,3630,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.839279504462338565851098337589,28,10
64,64_0,COMPLETED,BoTorch,GenerationStep_1,0.130000000000000004440892098501,154.000000000000000000000000000000,1708,4255,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.647005043125457590669213914225,33,10
65,65_0,COMPLETED,BoTorch,GenerationStep_1,0.130000000000000004440892098501,133.000000000000000000000000000000,1956,4786,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.616363966638263316433210547984,30,10
66,66_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,233.000000000000000000000000000000,1661,4572,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.589309416470750302430303690926,2,10
67,67_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,124.000000000000000000000000000000,1449,2877,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.906651931078738315683551718394,22,10
68,68_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,155.000000000000000000000000000000,1993,2549,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.496502737507791835902537513903,47,10
69,69_0,COMPLETED,BoTorch,GenerationStep_1,0.130000000000000004440892098501,163.000000000000000000000000000000,1169,1907,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.083271891202996967118465931890,80,10
70,70_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,240.000000000000000000000000000000,1750,1528,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.218336715406937220684824296768,1,10
71,71_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,132.000000000000000000000000000000,1619,559,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,61,10
72,72_0,COMPLETED,BoTorch,GenerationStep_1,0.130000000000000004440892098501,141.000000000000000000000000000000,1589,3875,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.990160986320220648515544326074,35,10
73,73_0,COMPLETED,BoTorch,GenerationStep_1,0.130000000000000004440892098501,142.000000000000000000000000000000,1618,4837,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.216030770396330590310540742394,41,10
74,74_0,COMPLETED,BoTorch,GenerationStep_1,0.130000000000000004440892098501,173.000000000000000000000000000000,1736,1924,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.522057611413733302363482380315,28,10
75,75_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,211.000000000000000000000000000000,1859,3719,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.557164991228547012980243380298,4,10
76,76_0,COMPLETED,BoTorch,GenerationStep_1,0.119999999999999995559107901499,131.000000000000000000000000000000,1097,2248,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,72,10
77,77_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,182.000000000000000000000000000000,1327,3184,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.360640453205340605347117843849,81,10
78,78_0,COMPLETED,BoTorch,GenerationStep_1,0.130000000000000004440892098501,131.000000000000000000000000000000,1360,4485,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.654262516724891995956170376303,32,10
79,79_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,145.000000000000000000000000000000,2031,1371,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.187625377067028309419072229502,10,10
80,80_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,158.000000000000000000000000000000,1179,4319,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,36,10
81,81_0,COMPLETED,BoTorch,GenerationStep_1,0.130000000000000004440892098501,129.000000000000000000000000000000,2307,4458,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,44,10
82,82_0,COMPLETED,BoTorch,GenerationStep_1,0.130000000000000004440892098501,140.000000000000000000000000000000,1394,3565,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,21,10
83,83_0,COMPLETED,BoTorch,GenerationStep_1,0.130000000000000004440892098501,121.000000000000000000000000000000,1764,3205,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,29,10
84,84_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,168.000000000000000000000000000000,1772,1237,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.972131766765542248975862094085,8,10
85,85_0,COMPLETED,BoTorch,GenerationStep_1,0.130000000000000004440892098501,161.000000000000000000000000000000,1170,2123,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.911933927504021246690513180511,83,10
86,86_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,217.000000000000000000000000000000,1207,1982,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,78,10
87,87_0,COMPLETED,BoTorch,GenerationStep_1,0.130000000000000004440892098501,139.000000000000000000000000000000,1617,2075,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.371184368012331011854598727950,28,10
88,88_0,COMPLETED,BoTorch,GenerationStep_1,0.130000000000000004440892098501,135.000000000000000000000000000000,1171,1770,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,18,10
89,89_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,243.000000000000000000000000000000,1928,3028,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,10
90,90_0,COMPLETED,BoTorch,GenerationStep_1,0.130000000000000004440892098501,138.000000000000000000000000000000,4618,2306,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,85,10
91,91_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,146.000000000000000000000000000000,767,2228,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.680077656839030653124211767135,25,10
92,92_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,175.000000000000000000000000000000,3176,588,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.158869131885069514442676563704,1,10
93,93_0,COMPLETED,BoTorch,GenerationStep_1,0.130000000000000004440892098501,143.000000000000000000000000000000,315,2557,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.699178488839032663548778145923,32,10
94,94_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,153.000000000000000000000000000000,4486,1613,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,51,10
95,95_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,224.000000000000000000000000000000,2172,4028,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.745477411381064491990855458425,1,10
96,96_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,144.000000000000000000000000000000,1186,281,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.531923584812488914330685929599,100,10
97,97_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,148.000000000000000000000000000000,1840,2648,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.702083632566319448820024717861,32,10
98,98_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,170.000000000000000000000000000000,901,2989,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.695776070694220649670569400769,73,10
99,99_0,COMPLETED,BoTorch,GenerationStep_1,0.160000000000000003330669073875,163.000000000000000000000000000000,5000,1423,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,24,10
100,100_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,212.000000000000000000000000000000,2551,456,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,55,10
101,101_0,COMPLETED,BoTorch,GenerationStep_1,0.130000000000000004440892098501,169.000000000000000000000000000000,415,3505,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.582512252252111006889379041240,73,10
102,102_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,130.000000000000000000000000000000,2162,268,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100,10
103,103_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,157.000000000000000000000000000000,4940,1552,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,45,10
104,104_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,221.000000000000000000000000000000,4253,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.047176217724414042098413091253,100,10
105,105_0,COMPLETED,BoTorch,GenerationStep_1,0.130000000000000004440892098501,132.000000000000000000000000000000,854,2068,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.971410505780756272642406656814,16,10
106,106_0,COMPLETED,BoTorch,GenerationStep_1,0.130000000000000004440892098501,142.000000000000000000000000000000,534,4219,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.644303043447200907145600012882,8,10
107,107_0,COMPLETED,BoTorch,GenerationStep_1,0.130000000000000004440892098501,135.000000000000000000000000000000,4222,2128,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.925564971806573377755000819889,18,10
108,108_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,144.000000000000000000000000000000,2362,3325,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.626404341729952629513888950896,35,10
109,109_0,COMPLETED,BoTorch,GenerationStep_1,0.130000000000000004440892098501,143.000000000000000000000000000000,2177,5000,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.570280740536540764473727449513,13,10
110,110_0,COMPLETED,BoTorch,GenerationStep_1,0.130000000000000004440892098501,141.000000000000000000000000000000,448,2168,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,93,10
111,111_0,COMPLETED,BoTorch,GenerationStep_1,0.130000000000000004440892098501,145.000000000000000000000000000000,4501,1522,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,50,10
112,112_0,COMPLETED,BoTorch,GenerationStep_1,0.130000000000000004440892098501,134.000000000000000000000000000000,3798,2116,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100,10
113,113_0,COMPLETED,BoTorch,GenerationStep_1,0.130000000000000004440892098501,138.000000000000000000000000000000,2156,2345,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,82,10
114,114_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,169.000000000000000000000000000000,2886,4196,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.663370875039177909648913100682,6,10
115,115_0,COMPLETED,BoTorch,GenerationStep_1,0.130000000000000004440892098501,138.000000000000000000000000000000,3649,2243,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.469070692759360086121489530342,16,10
116,116_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,175.000000000000000000000000000000,2813,828,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.052251587538231787644082970701,1,10
117,117_0,COMPLETED,BoTorch,GenerationStep_1,0.130000000000000004440892098501,144.000000000000000000000000000000,580,2636,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.567380141038240637385570153128,22,10
118,118_0,COMPLETED,BoTorch,GenerationStep_1,0.130000000000000004440892098501,136.000000000000000000000000000000,5000,1255,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,54,10
119,119_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,170.000000000000000000000000000000,1537,504,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.055599481283506564655017001542,3,10
120,120_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,150.000000000000000000000000000000,2556,2975,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,22,10
121,121_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,150.000000000000000000000000000000,2206,696,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.696824304161452356964900900493,34,10
122,122_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,158.000000000000000000000000000000,4790,2035,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,19,10
123,123_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,179.000000000000000000000000000000,3364,494,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,25,10
124,124_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,170.000000000000000000000000000000,2951,805,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,30,10
125,125_0,COMPLETED,BoTorch,GenerationStep_1,0.130000000000000004440892098501,146.000000000000000000000000000000,2744,2776,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,18,10
126,126_0,COMPLETED,BoTorch,GenerationStep_1,0.130000000000000004440892098501,153.000000000000000000000000000000,933,4290,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,18,10
127,127_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,146.000000000000000000000000000000,5000,3390,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,25,10
128,128_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,161.000000000000000000000000000000,1609,758,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.672259586339484349615247538168,41,10
129,129_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,174.000000000000000000000000000000,3406,1035,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,17,10
130,130_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,146.000000000000000000000000000000,769,370,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.703260269870801146829819572304,44,10
131,131_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,162.000000000000000000000000000000,3844,1183,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,16,10
132,132_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,147.000000000000000000000000000000,4011,480,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.707300802474213896609001039906,30,10
133,133_0,COMPLETED,BoTorch,GenerationStep_1,0.130000000000000004440892098501,153.000000000000000000000000000000,1354,4828,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.812975195706860720434860922978,74,10
134,134_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,154.000000000000000000000000000000,4938,2830,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,24,10
135,135_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,164.000000000000000000000000000000,2073,50,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,18,10
136,136_0,COMPLETED,BoTorch,GenerationStep_1,0.130000000000000004440892098501,142.000000000000000000000000000000,3719,4608,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.649882011083062871570348306705,43,10
137,137_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,172.000000000000000000000000000000,3868,55,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.086862693621964665036117025920,24,10
138,138_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,152.000000000000000000000000000000,3934,2386,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,29,10
139,139_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,156.000000000000000000000000000000,4544,548,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,27,10
140,140_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,167.000000000000000000000000000000,3531,912,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,22,10
141,141_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,157.000000000000000000000000000000,4945,1958,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,18,10
142,142_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,157.000000000000000000000000000000,161,461,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,19,10
143,143_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,175.000000000000000000000000000000,4730,253,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,22,10
144,144_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,143.000000000000000000000000000000,2581,3861,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.652864835592327441560200895765,51,10
145,145_0,COMPLETED,BoTorch,GenerationStep_1,0.130000000000000004440892098501,148.000000000000000000000000000000,1063,4916,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.912379583937950933147931209533,66,10
146,146_0,COMPLETED,BoTorch,GenerationStep_1,0.130000000000000004440892098501,152.000000000000000000000000000000,3090,4011,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,54,10
147,147_0,FAILED,BoTorch,GenerationStep_1,,,3977,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.034551858583615660536203506581,13,10
148,148_0,COMPLETED,BoTorch,GenerationStep_1,0.130000000000000004440892098501,139.000000000000000000000000000000,4903,3783,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.989928456411888757493500179407,67,10
149,149_0,COMPLETED,BoTorch,GenerationStep_1,0.130000000000000004440892098501,154.000000000000000000000000000000,4931,4255,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.662975362158167658144236611406,53,10
150,150_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,221.000000000000000000000000000000,1616,438,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.537977975513307948851604578522,1,10
151,151_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,228.000000000000000000000000000000,2654,5000,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.869630150928632605911161590484,1,10
152,152_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,145.000000000000000000000000000000,4561,342,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.058905256429461524958490770132,95,10
153,153_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,154.000000000000000000000000000000,3416,509,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.603305087763365111008795338421,68,10
154,154_0,FAILED,BoTorch,GenerationStep_1,,,2454,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.423043875432362104227479449037,1,10
155,155_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,146.000000000000000000000000000000,1715,446,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.681117755191444018691981909797,56,10
156,156_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,145.000000000000000000000000000000,2081,3136,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.743498830104431740473103218392,25,10
157,157_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,223.000000000000000000000000000000,3165,3444,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.647491436198475600605206636828,1,10
158,158_0,COMPLETED,BoTorch,GenerationStep_1,0.130000000000000004440892098501,146.000000000000000000000000000000,1488,2300,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.717295285486279632358730395936,37,10
159,159_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,148.000000000000000000000000000000,1540,1795,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.874573179628268970731141962460,54,10
160,160_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,220.000000000000000000000000000000,4445,1183,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.505642965269652688853341260256,1,10
161,161_0,FAILED,BoTorch,GenerationStep_1,,,252,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.708516910065534522011887474946,1,10
162,162_0,COMPLETED,BoTorch,GenerationStep_1,0.130000000000000004440892098501,190.000000000000000000000000000000,3678,1910,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100,10
163,163_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,147.000000000000000000000000000000,572,578,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.747810868637764469823991930753,69,10
164,164_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,230.000000000000000000000000000000,4575,692,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.724985361885871815168513876415,1,10
165,165_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,239.000000000000000000000000000000,3286,1160,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.281421436937153546242740276284,1,10
166,166_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,149.000000000000000000000000000000,2381,1267,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.902252804581109790760251598840,57,10
167,167_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,156.000000000000000000000000000000,2432,436,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,54,10
168,168_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,221.000000000000000000000000000000,1352,426,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.607797737858811748523635287711,1,10
169,169_0,COMPLETED,BoTorch,GenerationStep_1,0.130000000000000004440892098501,180.000000000000000000000000000000,4481,2376,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.636566432323462882969522524945,81,10
170,170_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,166.000000000000000000000000000000,4685,347,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.036666005299778141324207325624,9,10
171,171_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,148.000000000000000000000000000000,399,522,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,41,10
172,172_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,230.000000000000000000000000000000,1616,5000,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1,10
173,173_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,147.000000000000000000000000000000,16,1580,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,46,10
174,174_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,235.000000000000000000000000000000,4336,374,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.114132641490258132654922462734,1,10
175,175_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,153.000000000000000000000000000000,1,678,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,18,10
176,176_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,147.000000000000000000000000000000,4442,2103,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.442886098736938182973688071797,70,10
177,177_0,COMPLETED,BoTorch,GenerationStep_1,0.130000000000000004440892098501,133.000000000000000000000000000000,1,2289,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,64,10
178,178_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,247.000000000000000000000000000000,1541,2153,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.596182144714009432107104657916,1,10
179,179_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,132.000000000000000000000000000000,5000,551,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100,10
180,180_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,10
181,181_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,213.000000000000000000000000000000,5000,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,25,10
182,182_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,152.000000000000000000000000000000,4072,610,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,62,10
183,183_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,244.000000000000000000000000000000,4055,4242,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1,10
184,184_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,213.000000000000000000000000000000,4405,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,10
185,185_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,149.000000000000000000000000000000,4917,1471,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,18,10
186,186_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,151.000000000000000000000000000000,3333,1175,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,20,10
187,187_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,147.000000000000000000000000000000,2786,768,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,10
188,188_0,COMPLETED,BoTorch,GenerationStep_1,0.130000000000000004440892098501,146.000000000000000000000000000000,1,5000,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1,10
189,189_0,COMPLETED,BoTorch,GenerationStep_1,0.130000000000000004440892098501,143.000000000000000000000000000000,5000,4372,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,10
190,190_0,COMPLETED,BoTorch,GenerationStep_1,0.130000000000000004440892098501,162.000000000000000000000000000000,5000,5000,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1,10
191,191_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,21,10
192,192_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,171.000000000000000000000000000000,5000,5000,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1,10
193,193_0,COMPLETED,BoTorch,GenerationStep_1,0.130000000000000004440892098501,134.000000000000000000000000000000,1,415,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100,10
194,194_0,COMPLETED,BoTorch,GenerationStep_1,0.119999999999999995559107901499,134.000000000000000000000000000000,4284,3825,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1,10
195,195_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,10
196,196_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,222.000000000000000000000000000000,1812,4205,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1,10
197,197_0,COMPLETED,BoTorch,GenerationStep_1,0.130000000000000004440892098501,174.000000000000000000000000000000,2768,3567,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,28,10
198,198_0,COMPLETED,BoTorch,GenerationStep_1,0.130000000000000004440892098501,155.000000000000000000000000000000,1547,10,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,21,10
199,199_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,239.000000000000000000000000000000,5000,2746,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1,10
200,200_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,5,10
201,201_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,147.000000000000000000000000000000,4646,618,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,22,10
202,202_0,COMPLETED,BoTorch,GenerationStep_1,0.130000000000000004440892098501,147.000000000000000000000000000000,4226,2727,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,10
203,203_0,COMPLETED,BoTorch,GenerationStep_1,0.130000000000000004440892098501,130.000000000000000000000000000000,5000,2420,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,19,10
204,204_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,215.000000000000000000000000000000,1957,1,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,18,10
205,205_0,COMPLETED,BoTorch,GenerationStep_1,0.130000000000000004440892098501,135.000000000000000000000000000000,5000,1366,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,17,10
206,206_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,169.000000000000000000000000000000,1,554,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,10
207,207_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,229.000000000000000000000000000000,5000,2719,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1,10
208,208_0,COMPLETED,BoTorch,GenerationStep_1,0.130000000000000004440892098501,144.000000000000000000000000000000,1325,5000,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,6,10
209,209_0,COMPLETED,BoTorch,GenerationStep_1,0.130000000000000004440892098501,148.000000000000000000000000000000,4803,4784,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,10
210,210_0,COMPLETED,BoTorch,GenerationStep_1,0.130000000000000004440892098501,162.000000000000000000000000000000,2905,594,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,63,10
211,211_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.942496309546358990161252222606,1,10
212,212_0,COMPLETED,BoTorch,GenerationStep_1,0.130000000000000004440892098501,151.000000000000000000000000000000,3858,1801,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,21,10
213,213_0,FAILED,BoTorch,GenerationStep_1,,,120,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1,10
214,214_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,164.000000000000000000000000000000,3185,1463,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,18,10
215,215_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,151.000000000000000000000000000000,4648,664,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,21,10
216,216_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,142.000000000000000000000000000000,2338,1454,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,53,10
217,191_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,21,10
218,218_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,168.000000000000000000000000000000,4905,601,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,65,10
219,219_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.165337241054204636681035367474,1,10
220,220_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,157.000000000000000000000000000000,2318,1351,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,53,10
221,221_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,149.000000000000000000000000000000,4458,582,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,21,10
222,222_0,COMPLETED,BoTorch,GenerationStep_1,0.130000000000000004440892098501,144.000000000000000000000000000000,3292,5000,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,21,10
223,223_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,135.000000000000000000000000000000,3246,472,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,50,10
224,224_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,145.000000000000000000000000000000,5000,2487,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,68,10
225,225_0,COMPLETED,BoTorch,GenerationStep_1,0.130000000000000004440892098501,164.000000000000000000000000000000,4474,2659,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,70,10
226,226_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,166.000000000000000000000000000000,5000,433,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100,10
227,227_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,151.000000000000000000000000000000,4320,2018,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,23,10
228,228_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1,10
229,229_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,1279.000000000000000000000000000000,5000,1,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,31,10
230,230_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,145.000000000000000000000000000000,4558,777,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,12,10
231,231_0,COMPLETED,BoTorch,GenerationStep_1,0.130000000000000004440892098501,148.000000000000000000000000000000,4966,4216,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,73,10
232,232_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,142.000000000000000000000000000000,5000,413,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,43,10
233,233_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,150.000000000000000000000000000000,4373,3162,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.679436543775168710901368740451,26,10
234,234_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,231.000000000000000000000000000000,3234,3560,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.002590324468043172980585842069,1,10
235,235_0,COMPLETED,BoTorch,GenerationStep_1,0.130000000000000004440892098501,139.000000000000000000000000000000,4935,1491,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,17,10
236,236_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,228.000000000000000000000000000000,323,3555,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1,10
237,237_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,207.000000000000000000000000000000,161,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,36,10
238,238_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,139.000000000000000000000000000000,5000,700,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,26,10
239,239_0,COMPLETED,BoTorch,GenerationStep_1,0.130000000000000004440892098501,148.000000000000000000000000000000,4982,4614,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,38,10
240,240_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,170.000000000000000000000000000000,4047,972,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.882410936304691584375348156755,1,10
241,241_0,COMPLETED,BoTorch,GenerationStep_1,0.130000000000000004440892098501,148.000000000000000000000000000000,4623,1110,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,31,10
242,242_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,1054.000000000000000000000000000000,5000,1,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,29,10
243,243_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1,10
244,244_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,157.000000000000000000000000000000,4417,157,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,32,10
245,245_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,190.000000000000000000000000000000,4096,2661,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1,10
246,246_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,173.000000000000000000000000000000,1,982,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1,10
247,247_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,177.000000000000000000000000000000,3520,1181,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,30,10
248,248_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,180.000000000000000000000000000000,1125,3477,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,10
249,249_0,FAILED,BoTorch,GenerationStep_1,,,4106,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,86,10
250,250_0,FAILED,BoTorch,GenerationStep_1,,,968,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1,10
251,251_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,230.000000000000000000000000000000,4989,1589,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1,10
252,252_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,167.000000000000000000000000000000,1307,993,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,10
253,253_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,174.000000000000000000000000000000,3652,2265,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,10
254,254_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,202.000000000000000000000000000000,463,4993,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1,10
255,255_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100,10
256,256_0,COMPLETED,BoTorch,GenerationStep_1,0.110000000000000000555111512313,114.000000000000000000000000000000,5000,4315,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,32,10
257,257_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,132.000000000000000000000000000000,4648,1180,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,29,10
258,258_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,171.000000000000000000000000000000,2139,3736,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1,10
259,259_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,179.000000000000000000000000000000,5000,898,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,34,10
260,260_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,173.000000000000000000000000000000,3875,2239,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1,10
261,261_0,COMPLETED,BoTorch,GenerationStep_1,0.130000000000000004440892098501,127.000000000000000000000000000000,54,888,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,35,10
262,262_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,1123.000000000000000000000000000000,4981,1,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,30,10
263,263_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100,10
264,228_0,FAILED,BoTorch,GenerationStep_1,,,5000,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1,10
265,265_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,148.000000000000000000000000000000,4993,821,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,32,10
266,266_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,226.000000000000000000000000000000,2694,3121,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1,10
267,267_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,169.000000000000000000000000000000,2060,2872,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,10
268,268_0,COMPLETED,BoTorch,GenerationStep_1,0.130000000000000004440892098501,126.000000000000000000000000000000,4639,3082,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,31,10
269,269_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,170.000000000000000000000000000000,5000,938,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1,10
270,270_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,162.000000000000000000000000000000,537,112,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,32,10
271,271_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,226.000000000000000000000000000000,5000,2493,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1,10
272,272_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,226.000000000000000000000000000000,5000,4799,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1,10
273,273_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,231.000000000000000000000000000000,5000,4450,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1,10
274,274_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,231.000000000000000000000000000000,1,254,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1,10
275,275_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,177.000000000000000000000000000000,141,78,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,33,10
276,276_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,224.000000000000000000000000000000,1,2043,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1,10
277,277_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,223.000000000000000000000000000000,5000,3886,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1,10
278,278_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,237.000000000000000000000000000000,1,2868,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1,10
279,279_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,232.000000000000000000000000000000,3888,1359,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1,10
280,280_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,10
281,281_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,227.000000000000000000000000000000,1,1329,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,10
282,282_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,228.000000000000000000000000000000,1,3347,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1,10
283,283_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,226.000000000000000000000000000000,1342,169,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1,10
284,284_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,224.000000000000000000000000000000,1,4856,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1,10
285,285_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,243.000000000000000000000000000000,1,203,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1,10
286,286_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,176.000000000000000000000000000000,1,94,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1,10
287,287_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,227.000000000000000000000000000000,5000,3244,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1,10
288,288_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,235.000000000000000000000000000000,5000,2978,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1,10
289,289_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,254.000000000000000000000000000000,5000,2529,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1,10
290,290_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,239.000000000000000000000000000000,1,3909,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1,10
291,291_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,170.000000000000000000000000000000,1098,136,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,36,10
292,292_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,225.000000000000000000000000000000,5000,4445,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1,10
293,293_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,225.000000000000000000000000000000,1,2337,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1,10
294,294_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,228.000000000000000000000000000000,5000,4792,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1,10
295,295_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,226.000000000000000000000000000000,1,125,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1,10
296,296_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,1411.000000000000000000000000000000,13,14,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,83,10
297,297_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,243.000000000000000000000000000000,5000,150,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1,10
298,298_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,226.000000000000000000000000000000,5000,3792,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1,10
299,299_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,188.000000000000000000000000000000,1,93,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,36,10
300,300_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,155.000000000000000000000000000000,3445,425,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,28,10
301,301_0,COMPLETED,BoTorch,GenerationStep_1,0.130000000000000004440892098501,140.000000000000000000000000000000,2318,540,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.968144991098340956803269818920,31,10
302,302_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,228.000000000000000000000000000000,2469,4606,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.029424784820820219788384264348,1,10
303,303_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,228.000000000000000000000000000000,1,4508,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1,10
304,304_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,155.000000000000000000000000000000,3794,347,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,25,10
305,305_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,227.000000000000000000000000000000,422,1012,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1,10
306,306_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,143.000000000000000000000000000000,3165,395,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,45,10
307,307_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,157.000000000000000000000000000000,3660,474,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,33,10
308,308_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,225.000000000000000000000000000000,1109,3054,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1,10
309,309_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,226.000000000000000000000000000000,1,817,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1,10
310,310_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,153.000000000000000000000000000000,2617,357,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,25,10
311,311_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,226.000000000000000000000000000000,5000,596,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.702089327624380477033128045150,1,10
312,312_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,148.000000000000000000000000000000,3215,479,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.554371510454368277009962184820,29,10
313,313_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,219.000000000000000000000000000000,5000,954,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1,10
314,314_0,FAILED,BoTorch,GenerationStep_1,,,3079,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1,10
315,315_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,224.000000000000000000000000000000,5000,3240,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1,10
316,316_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,223.000000000000000000000000000000,3017,5000,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1,10
317,317_0,COMPLETED,BoTorch,GenerationStep_1,0.130000000000000004440892098501,136.000000000000000000000000000000,3224,435,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,33,10
318,318_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,223.000000000000000000000000000000,1,2621,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,10
319,319_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,226.000000000000000000000000000000,3432,2362,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1,10
320,320_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,144.000000000000000000000000000000,3321,613,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.833145671261081965930372916773,34,10
321,321_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,165.000000000000000000000000000000,3485,468,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,46,10
322,322_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,142.000000000000000000000000000000,3701,482,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,34,10
323,323_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,155.000000000000000000000000000000,3416,395,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,25,10
324,324_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,184.000000000000000000000000000000,4572,618,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,39,10
325,325_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,217.000000000000000000000000000000,1,1518,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,93,10
326,326_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,269.000000000000000000000000000000,5000,3439,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,10
327,327_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,224.000000000000000000000000000000,647,1285,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1,10
328,328_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,228.000000000000000000000000000000,1,784,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.057803830212638192265206527054,1,10
329,329_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,147.000000000000000000000000000000,3484,305,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.159287259914841661245787918233,27,10
330,330_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,141.000000000000000000000000000000,2791,183,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,30,10
331,331_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,178.000000000000000000000000000000,4629,209,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,46,10
332,332_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,145.000000000000000000000000000000,4600,177,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,46,10
333,333_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,142.000000000000000000000000000000,4918,981,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,32,10
334,334_0,FAILED,BoTorch,GenerationStep_1,,,4873,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,88,10
335,335_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,234.000000000000000000000000000000,5000,1988,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.170337297454374897442974656769,1,10
336,336_0,COMPLETED,BoTorch,GenerationStep_1,0.130000000000000004440892098501,135.000000000000000000000000000000,990,814,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,30,10
337,337_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,151.000000000000000000000000000000,375,215,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,3,10
338,338_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,535.000000000000000000000000000000,4967,151,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,88,10
339,339_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,234.000000000000000000000000000000,4167,1770,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.569743697768337886699896444043,1,10
340,340_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,179.000000000000000000000000000000,5000,1823,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1,10
341,341_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,146.000000000000000000000000000000,2891,2854,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,32,10
342,342_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,148.000000000000000000000000000000,4868,222,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,21,10
343,343_0,COMPLETED,BoTorch,GenerationStep_1,0.130000000000000004440892098501,159.000000000000000000000000000000,2288,2710,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,30,10
344,344_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,145.000000000000000000000000000000,4247,1002,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,65,10
345,345_0,COMPLETED,BoTorch,GenerationStep_1,0.130000000000000004440892098501,148.000000000000000000000000000000,3800,2564,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,30,10
346,346_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,149.000000000000000000000000000000,5000,164,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,59,10
347,347_0,COMPLETED,BoTorch,GenerationStep_1,0.130000000000000004440892098501,137.000000000000000000000000000000,456,1047,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,45,10
348,348_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,177.000000000000000000000000000000,1,3108,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1,10
349,349_0,COMPLETED,BoTorch,GenerationStep_1,0.130000000000000004440892098501,151.000000000000000000000000000000,5000,2211,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,50,10
350,350_0,COMPLETED,BoTorch,GenerationStep_1,0.130000000000000004440892098501,147.000000000000000000000000000000,3997,2208,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,73,10
351,351_0,COMPLETED,BoTorch,GenerationStep_1,0.130000000000000004440892098501,121.000000000000000000000000000000,1021,2592,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,38,10
352,352_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,172.000000000000000000000000000000,5000,1694,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,10
353,353_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,142.000000000000000000000000000000,1030,2916,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,63,10
354,354_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,168.000000000000000000000000000000,1485,4630,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1,10
355,355_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,140.000000000000000000000000000000,153,981,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,23,10
356,356_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,152.000000000000000000000000000000,4919,223,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,45,10
357,357_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,148.000000000000000000000000000000,1424,2808,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,40,10
358,358_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,144.000000000000000000000000000000,2274,1003,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,32,10
359,359_0,COMPLETED,BoTorch,GenerationStep_1,0.130000000000000004440892098501,137.000000000000000000000000000000,169,2516,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,23,10
360,360_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,151.000000000000000000000000000000,2016,160,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,23,10
361,361_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,229.000000000000000000000000000000,3928,163,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,24,10
362,362_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,253.000000000000000000000000000000,5000,737,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1,10
363,363_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,177.000000000000000000000000000000,3250,1304,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,10
364,364_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,164.000000000000000000000000000000,1,156,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1,10
365,365_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,217.000000000000000000000000000000,1515,4718,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.993883753447439399764107292867,1,10
366,366_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,226.000000000000000000000000000000,4631,4312,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.690451859569924719650657607417,1,10
367,367_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,225.000000000000000000000000000000,1,4318,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1,10
368,368_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,223.000000000000000000000000000000,5000,885,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1,10
369,369_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,192.000000000000000000000000000000,1,155,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1,10
370,370_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,226.000000000000000000000000000000,3389,73,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1,10
371,371_0,FAILED,BoTorch,GenerationStep_1,,,2884,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.765799264793658118755104169395,1,10
372,372_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,221.000000000000000000000000000000,5000,1708,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.944930281907456426360170098633,1,10
373,373_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,223.000000000000000000000000000000,1,4884,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,10
374,374_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,222.000000000000000000000000000000,5000,1434,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,10
375,375_0,COMPLETED,BoTorch,GenerationStep_1,0.130000000000000004440892098501,144.000000000000000000000000000000,1913,1413,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,45,10
376,376_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,222.000000000000000000000000000000,1,4091,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1,10
377,377_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,168.000000000000000000000000000000,4299,732,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,10
378,378_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,220.000000000000000000000000000000,5000,381,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1,10
379,379_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,242.000000000000000000000000000000,2748,2222,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,10
380,380_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,170.000000000000000000000000000000,5000,1244,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,10
381,381_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,222.000000000000000000000000000000,1,4328,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1,10
382,382_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,225.000000000000000000000000000000,1,3853,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,10
383,383_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,167.000000000000000000000000000000,1,1361,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,10
384,384_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,169.000000000000000000000000000000,5000,1613,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1,10
385,385_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,234.000000000000000000000000000000,5000,4286,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1,10
386,386_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,230.000000000000000000000000000000,1,70,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1,10
387,387_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,225.000000000000000000000000000000,1,1723,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.133275874895803170261388004292,1,10
388,388_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,169.000000000000000000000000000000,4149,1074,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1,10
389,389_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,168.000000000000000000000000000000,5000,1214,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1,10
390,390_0,RUNNING,BoTorch,GenerationStep_1,,,3698,1,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,73,10
391,391_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,140.000000000000000000000000000000,4179,485,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,36,10
392,392_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,250.000000000000000000000000000000,3831,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,10
393,393_0,RUNNING,BoTorch,GenerationStep_1,,,1,1,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,98,10
394,394_0,FAILED,BoTorch,GenerationStep_1,,,1,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,26,10
395,395_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,216.000000000000000000000000000000,3208,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,100,10
396,396_0,RUNNING,BoTorch,GenerationStep_1,,,3647,1,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,76,10
397,397_0,FAILED,BoTorch,GenerationStep_1,,,3706,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,6,10
398,398_0,FAILED,BoTorch,GenerationStep_1,,,1459,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,24,10
399,399_0,RUNNING,BoTorch,GenerationStep_1,,,511,1,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,97,10
400,400_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,2248.000000000000000000000000000000,4174,1,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,38,10
401,401_0,RUNNING,BoTorch,GenerationStep_1,,,4045,1,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,93,10
402,402_0,FAILED,BoTorch,GenerationStep_1,,,4373,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,24,10
403,403_0,FAILED,BoTorch,GenerationStep_1,,,2719,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,79,10
404,404_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,388.000000000000000000000000000000,3698,135,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,78,10
405,405_0,RUNNING,BoTorch,GenerationStep_1,,,2493,1,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,63,10
406,406_0,RUNNING,BoTorch,GenerationStep_1,,,2526,1,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,94,10
407,407_0,RUNNING,BoTorch,GenerationStep_1,,,1090,1,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,97,10
408,408_0,FAILED,BoTorch,GenerationStep_1,,,1945,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,27,10
409,409_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,202.000000000000000000000000000000,2407,2090,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,4,10
410,410_0,RUNNING,BoTorch,GenerationStep_1,,,1776,1,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100,10
411,411_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,214.000000000000000000000000000000,3776,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,5,10
412,412_0,FAILED,BoTorch,GenerationStep_1,,,599,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,25,10
413,413_0,FAILED,BoTorch,GenerationStep_1,,,2790,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,89,10
414,414_0,COMPLETED,BoTorch,GenerationStep_1,0.140000000000000013322676295502,160.000000000000000000000000000000,1004,37,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,6,10
415,415_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,213.000000000000000000000000000000,4566,2825,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,3,10
416,416_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,237.000000000000000000000000000000,1097,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,28,10
417,417_0,RUNNING,BoTorch,GenerationStep_1,,,4287,1,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,91,10
418,418_0,COMPLETED,BoTorch,GenerationStep_1,0.149999999999999994448884876874,206.000000000000000000000000000000,3950,1,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,51,10
419,419_0,FAILED,BoTorch,GenerationStep_1,,,3711,1,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,89,10
420,420_0,COMPLETED,Sobol,SOBOL,0.140000000000000013322676295502,201.000000000000000000000000000000,4315,3427,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.899348868250846811278620407393,80,10
421,421_0,COMPLETED,Sobol,SOBOL,0.130000000000000004440892098501,183.000000000000000000000000000000,977,1758,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.338608858544379498489718116616,5,10
422,422_0,COMPLETED,Sobol,SOBOL,0.130000000000000004440892098501,209.000000000000000000000000000000,1612,4763,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.217635440129786722485150107786,54,10
423,423_0,COMPLETED,Sobol,SOBOL,0.140000000000000013322676295502,234.000000000000000000000000000000,3739,103,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.529119090097025068786251722486,31,10
424,424_0,COMPLETED,Sobol,SOBOL,0.130000000000000004440892098501,205.000000000000000000000000000000,2915,3880,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.781522139215841904480441826308,70,10
425,425_0,COMPLETED,Sobol,SOBOL,0.140000000000000013322676295502,249.000000000000000000000000000000,2347,939,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.472212064754217841766603669384,46,10
426,426_0,COMPLETED,Sobol,SOBOL,0.140000000000000013322676295502,182.000000000000000000000000000000,541,3011,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.101738646339625121717276101663,97,10
427,427_0,COMPLETED,Sobol,SOBOL,0.130000000000000004440892098501,198.000000000000000000000000000000,4819,2124,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.660792373144999167777768889209,19,10
428,428_0,COMPLETED,Sobol,SOBOL,0.130000000000000004440892098501,188.000000000000000000000000000000,4624,4626,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.600787834288552424766294279834,65,10
429,429_0,COMPLETED,Sobol,SOBOL,0.140000000000000013322676295502,209.000000000000000000000000000000,32,514,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.161620466742664586901057077739,40,10
430,430_0,COMPLETED,Sobol,SOBOL,0.140000000000000013322676295502,190.000000000000000000000000000000,1917,3446,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.282593825671821841094555338714,91,10
431,431_0,COMPLETED,Sobol,SOBOL,0.140000000000000013322676295502,181.000000000000000000000000000000,2797,1387,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.971017540873959639213808259228,14,10
432,432_0,COMPLETED,Sobol,SOBOL,0.130000000000000004440892098501,146.000000000000000000000000000000,3232,2601,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.716798587301746059630147556163,87,10
433,433_0,COMPLETED,Sobol,SOBOL,0.130000000000000004440892098501,230.000000000000000000000000000000,1416,2261,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.030076876815408468829327048866,11,10
434,434_0,COMPLETED,Sobol,SOBOL,0.130000000000000004440892098501,181.000000000000000000000000000000,860,4250,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.400550235744565719109289148037,60,10
435,435_0,COMPLETED,Sobol,SOBOL,0.140000000000000013322676295502,251.000000000000000000000000000000,3885,919,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.837528293887153219010599514149,38,10
436,436_0,COMPLETED,Sobol,SOBOL,0.130000000000000004440892098501,210.000000000000000000000000000000,4034,4173,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.048384241776540874713230522275,2,10
437,437_0,COMPLETED,Sobol,SOBOL,0.160000000000000003330669073875,370.000000000000000000000000000000,696,685,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.737049681622535035607768350019,77,10
438,438_0,COMPLETED,Sobol,SOBOL,0.130000000000000004440892098501,212.000000000000000000000000000000,1252,2679,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.865576263207942231403535515710,28,10
439,439_0,COMPLETED,Sobol,SOBOL,0.140000000000000013322676295502,169.000000000000000000000000000000,3381,2495,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.426654475705698144061273069383,51,10
440,440_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,385.000000000000000000000000000000,2910,563,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.435221763740643252660333928361,77,10
441,441_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,237.000000000000000000000000000000,4406,452,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,16,10
442,442_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,171.000000000000000000000000000000,4458,968,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,10,10
443,443_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,247.000000000000000000000000000000,4508,3891,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,3,10
444,444_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.130000000000000004440892098501,184.000000000000000000000000000000,4674,2752,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,25,10
445,445_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,171.000000000000000000000000000000,1842,1428,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,24,10
446,446_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,327.000000000000000000000000000000,2050,2972,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.782180492252192327562454465806,1,10
447,447_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,353.000000000000000000000000000000,555,2816,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1,10
448,448_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,332.000000000000000000000000000000,4455,3270,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.495162882046078778319753155301,1,10
449,449_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,284.000000000000000000000000000000,3143,330,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.452542192017830857686533363449,1,10
450,450_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,318.000000000000000000000000000000,922,2719,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.425755731548812743625376242562,1,10
451,451_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,337.000000000000000000000000000000,2413,3290,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1,10
452,452_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,317.000000000000000000000000000000,727,3112,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.905233149534850345396819193411,1,10
453,453_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,814.000000000000000000000000000000,122,147,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,77,10
454,454_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,340.000000000000000000000000000000,933,3568,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.599009897729343432359883081517,1,10
455,455_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,293.000000000000000000000000000000,438,2896,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1,10
456,456_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,352.000000000000000000000000000000,3320,1868,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,10
457,457_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,304.000000000000000000000000000000,2131,4816,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.124390472899959525499014034722,1,10
458,458_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,350.000000000000000000000000000000,4722,681,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,75,10
459,459_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,334.000000000000000000000000000000,3671,3499,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1,10
460,460_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,342.000000000000000000000000000000,2844,3119,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.989485289092338349270505659661,1,10
461,461_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,329.000000000000000000000000000000,4280,3899,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.271796902977232968101617416323,1,10
462,462_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,326.000000000000000000000000000000,453,2345,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,10
463,463_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,325.000000000000000000000000000000,3746,1974,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.722910833015768861109506815410,1,10
464,464_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,897.000000000000000000000000000000,4439,65,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,76,10
465,465_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,349.000000000000000000000000000000,2562,1379,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.324949550588490509994699095841,1,10
466,466_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,340.000000000000000000000000000000,4056,2680,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,10
467,467_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,294.000000000000000000000000000000,52,361,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,76,10
468,468_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,233.000000000000000000000000000000,3417,107,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,15,10
469,469_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,317.000000000000000000000000000000,5000,1588,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1,10
470,470_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,332.000000000000000000000000000000,557,1274,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,79,10
471,471_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,248.000000000000000000000000000000,5000,385,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1,10
472,472_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.130000000000000004440892098501,459.000000000000000000000000000000,1665,405,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,96,10
473,473_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3239,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,78,10
474,474_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4519,1,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,85,10
475,475_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,219.000000000000000000000000000000,1567,192,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.464108679809301982732705482704,28,10
476,476_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,237.000000000000000000000000000000,1962,298,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.890126901748199084174473227904,49,10
477,477_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,274.000000000000000000000000000000,566,110,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.755630099777073516165160071978,46,10
478,478_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,186.000000000000000000000000000000,4342,296,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,33,10
479,479_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,323.000000000000000000000000000000,2320,895,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.555992373217174318256184051279,1,10
480,480_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.160000000000000003330669073875,454.000000000000000000000000000000,4464,682,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,84,10
481,481_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,222.000000000000000000000000000000,4490,522,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,29,10
482,482_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,364.000000000000000000000000000000,201,2029,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.536297745962685423748439461633,1,10
483,483_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,361.000000000000000000000000000000,5000,540,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1,10
484,484_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,256.000000000000000000000000000000,1946,1482,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,82,10
485,485_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,325.000000000000000000000000000000,5000,2644,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1,10
486,486_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,354.000000000000000000000000000000,1,4115,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1,10
487,487_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,258.000000000000000000000000000000,2577,4878,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1,10
488,488_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,320.000000000000000000000000000000,5000,3705,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1,10
489,489_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,219.000000000000000000000000000000,5000,324,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,10
490,490_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,336.000000000000000000000000000000,5000,4644,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1,10
491,491_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,322.000000000000000000000000000000,5000,1461,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1,10
492,492_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,321.000000000000000000000000000000,5000,2201,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1,10
493,493_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,351.000000000000000000000000000000,4288,1112,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,10
494,494_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,419.000000000000000000000000000000,1841,387,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,83,10
495,495_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.119999999999999995559107901499,170.000000000000000000000000000000,5000,5000,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,100,10
496,496_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,207.000000000000000000000000000000,5000,589,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,10
497,497_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,240.000000000000000000000000000000,5000,188,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100,10
498,498_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,231.000000000000000000000000000000,1865,737,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,79,10
499,499_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,174.000000000000000000000000000000,5000,4403,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1,10
500,500_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.130000000000000004440892098501,551.000000000000000000000000000000,684,180,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,89,10
501,501_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,207.000000000000000000000000000000,5000,841,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,10
502,502_0,FAILED,BoTorch,BOTORCH_MODULAR,,,777,1,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1,10
503,503_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,214.000000000000000000000000000000,3148,1464,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100,10
504,504_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,218.000000000000000000000000000000,5000,372,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100,10
505,505_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,317.000000000000000000000000000000,2059,799,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,10
506,506_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,231.000000000000000000000000000000,5000,155,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1,10
507,507_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,356.000000000000000000000000000000,5000,1240,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1,10
508,508_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,246.000000000000000000000000000000,5000,2110,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,10
509,509_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,214.000000000000000000000000000000,2939,3333,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,94,10
510,510_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,348.000000000000000000000000000000,5000,40,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1,10
511,511_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,264.000000000000000000000000000000,5000,2477,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1,10
512,512_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,310.000000000000000000000000000000,4838,1691,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,82,10
513,513_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.130000000000000004440892098501,210.000000000000000000000000000000,5000,1158,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100,10
514,514_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,261.000000000000000000000000000000,5000,3272,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1,10
515,515_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,187.000000000000000000000000000000,4594,102,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,27,10
516,516_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,195.000000000000000000000000000000,2913,105,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,49,10
517,517_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,245.000000000000000000000000000000,4464,3038,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,39,10
518,518_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,201.000000000000000000000000000000,3477,873,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.271599647360990792410717631356,35,10
519,519_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,275.000000000000000000000000000000,80,197,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,10
520,520_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,145.000000000000000000000000000000,3096,290,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,34,10
521,521_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,232.000000000000000000000000000000,1269,947,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,50,10
522,522_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,282.000000000000000000000000000000,3896,932,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,72,10
523,523_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,168.000000000000000000000000000000,4655,1355,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,74,10
524,524_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,628.000000000000000000000000000000,4326,417,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,81,10
525,525_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.130000000000000004440892098501,191.000000000000000000000000000000,917,3373,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,94,10
526,526_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,222.000000000000000000000000000000,545,322,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,51,10
527,527_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,236.000000000000000000000000000000,4210,3030,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,54,10
528,528_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.130000000000000004440892098501,245.000000000000000000000000000000,3260,3747,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100,10
529,529_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.130000000000000004440892098501,225.000000000000000000000000000000,4882,1368,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,44,10
530,530_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.130000000000000004440892098501,190.000000000000000000000000000000,1222,2861,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,76,10
531,531_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.119999999999999995559107901499,232.000000000000000000000000000000,4184,5000,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,100,10
532,532_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,260.000000000000000000000000000000,180,689,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,3,10
533,533_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,143.000000000000000000000000000000,1101,249,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,12,10
534,534_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,351.000000000000000000000000000000,5000,1797,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1,10
535,535_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,322.000000000000000000000000000000,1,4238,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1,10
536,536_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,257.000000000000000000000000000000,2076,314,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,48,10
537,537_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,209.000000000000000000000000000000,3017,400,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,8,10
538,538_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,338.000000000000000000000000000000,1311,560,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,2,10
539,539_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.130000000000000004440892098501,201.000000000000000000000000000000,4900,4674,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,81,10
540,540_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,223.000000000000000000000000000000,3667,693,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,52,10
541,541_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,179.000000000000000000000000000000,5000,1484,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,10
542,542_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,232.000000000000000000000000000000,5000,4397,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1,10
543,543_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,348.000000000000000000000000000000,3609,370,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1,10
544,544_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.130000000000000004440892098501,195.000000000000000000000000000000,1907,874,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,51,10
545,545_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.130000000000000004440892098501,159.000000000000000000000000000000,4051,1841,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,94,10
546,546_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,147.000000000000000000000000000000,2714,3453,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,85,10
547,547_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,205.000000000000000000000000000000,3600,1773,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1,10
548,548_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,176.000000000000000000000000000000,1,3721,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1,10
549,549_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,129.000000000000000000000000000000,1141,3456,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,19,10
550,550_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,257.000000000000000000000000000000,1,3599,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1,10
551,551_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.130000000000000004440892098501,206.000000000000000000000000000000,3921,3193,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,78,10
552,552_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,205.000000000000000000000000000000,4315,1095,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,21,10
553,553_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,180.000000000000000000000000000000,2041,122,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,37,10
554,554_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,225.000000000000000000000000000000,3061,2444,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,52,10
555,555_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.130000000000000004440892098501,237.000000000000000000000000000000,4465,1798,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,82,10
556,556_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,282.000000000000000000000000000000,3492,1144,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,85,10
557,557_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.130000000000000004440892098501,231.000000000000000000000000000000,1122,1668,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,70,10
558,558_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,208.000000000000000000000000000000,3092,1625,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,24,10
559,559_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,173.000000000000000000000000000000,1929,3500,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,89,10
560,560_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.130000000000000004440892098501,208.000000000000000000000000000000,1749,3282,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,19,10
561,561_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.130000000000000004440892098501,160.000000000000000000000000000000,4148,2766,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,51,10
562,562_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,245.000000000000000000000000000000,2330,4130,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1,10
563,563_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,247.000000000000000000000000000000,1,4016,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1,10
564,564_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.119999999999999995559107901499,183.000000000000000000000000000000,2829,4874,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,33,10
565,565_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,212.000000000000000000000000000000,355,1409,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,23,10
566,566_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,202.000000000000000000000000000000,2975,206,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,40,10
567,567_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,246.000000000000000000000000000000,1020,3783,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1,10
568,568_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,246.000000000000000000000000000000,1,4273,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1,10
569,569_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,244.000000000000000000000000000000,1238,4468,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1,10
570,570_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,203.000000000000000000000000000000,1257,3405,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1,10
571,571_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.130000000000000004440892098501,150.000000000000000000000000000000,703,2830,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,89,10
572,572_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,367.000000000000000000000000000000,284,904,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,82,10
573,573_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,263.000000000000000000000000000000,3904,191,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,30,10
574,574_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,203.000000000000000000000000000000,898,101,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,100,10
575,575_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.130000000000000004440892098501,186.000000000000000000000000000000,4762,954,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,21,10
576,576_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,170.000000000000000000000000000000,4304,112,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,3,10
577,577_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,326.000000000000000000000000000000,4105,2434,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,10
578,578_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,247.000000000000000000000000000000,3918,2809,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1,10
579,579_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,236.000000000000000000000000000000,1,4695,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1,10
580,580_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,326.000000000000000000000000000000,1783,4693,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1,10
581,581_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,332.000000000000000000000000000000,5000,303,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,10
582,582_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,224.000000000000000000000000000000,1029,122,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,40,10
583,583_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,338.000000000000000000000000000000,1,1147,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1,10
584,584_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,319.000000000000000000000000000000,1,4484,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,10
585,585_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,245.000000000000000000000000000000,4432,1923,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1,10
586,586_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,315.000000000000000000000000000000,1,671,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1,10
587,587_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,330.000000000000000000000000000000,1,1566,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,10
588,588_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,318.000000000000000000000000000000,1,2517,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.045632619968194225446023182258,1,10
589,589_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,337.000000000000000000000000000000,5000,4925,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1,10
590,590_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,229.000000000000000000000000000000,4885,4829,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1,10
591,591_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,245.000000000000000000000000000000,1511,439,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,10
592,592_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,256.000000000000000000000000000000,1,4286,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1,10
593,593_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,184.000000000000000000000000000000,947,91,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,24,10
594,594_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.130000000000000004440892098501,179.000000000000000000000000000000,2078,4388,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,83,10
595,595_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,316.000000000000000000000000000000,93,3987,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,10
596,596_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,311.000000000000000000000000000000,1,3374,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1,10
597,597_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,204.000000000000000000000000000000,1,4554,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1,10
598,598_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,192.000000000000000000000000000000,3499,256,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,67,10
599,599_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,235.000000000000000000000000000000,1583,1118,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.111331601117963488456474863142,1,10
600,600_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,224.000000000000000000000000000000,3323,280,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.398160236180669424577160953049,32,10
601,601_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,210.000000000000000000000000000000,3784,906,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.744460760902409646178057300858,23,10
602,602_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,194.000000000000000000000000000000,4234,212,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.563143033746358434576961826679,32,10
603,603_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,235.000000000000000000000000000000,4941,754,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1,10
604,604_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,253.000000000000000000000000000000,2460,163,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,47,10
605,605_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,247.000000000000000000000000000000,1297,2961,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1,10
606,606_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,183.000000000000000000000000000000,5000,3019,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,10
607,607_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,197.000000000000000000000000000000,5000,1968,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,67,10
608,608_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,273.000000000000000000000000000000,1,3712,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1,10
609,609_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,207.000000000000000000000000000000,2409,3131,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.267687583508692983347287963625,35,10
610,610_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,240.000000000000000000000000000000,1,4120,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1,10
611,611_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.130000000000000004440892098501,219.000000000000000000000000000000,568,178,str\(\&#039;KL\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.495972337384211980904069605458,5,10
612,612_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,245.000000000000000000000000000000,360,1394,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1,10
613,613_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,219.000000000000000000000000000000,2073,75,str\(\&#039;H\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.568696098277881256777277485526,4,10
614,614_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.130000000000000004440892098501,156.000000000000000000000000000000,250,494,str\(\&#039;H\&#039;\),3.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,30,10
615,615_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,264.000000000000000000000000000000,5000,1595,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1,10
616,616_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,220.000000000000000000000000000000,1118,236,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,31,10
617,617_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,338.000000000000000000000000000000,1084,4960,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1,10
618,618_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.140000000000000013322676295502,255.000000000000000000000000000000,1,3246,str\(\&#039;KL\&#039;\),2.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.001000000000000000020816681712,1,10
619,619_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,255.000000000000000000000000000000,5000,569,str\(\&#039;H\&#039;\),2.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.998999999999999999111821580300,1,10
620,620_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.149999999999999994448884876874,269.000000000000000000000000000000,1,3801,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;stdev\&#039;\),0.998999999999999999111821580300,1,10
621,621_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,918,1130,str\(\&#039;KL\&#039;\),1.000000000000000000000000000000,str\(\&#039;tstat\&#039;\),0.001000000000000000020816681712,1,10
</pre>
			<button class='copy_clipboard_button' onclick='copy_to_clipboard_from_id("tab_results_csv_table_pre")'> Copy raw data to clipboard</button>
			<button onclick='download_as_file("tab_results_csv_table_pre", "results.csv")'> Download &raquo;results.csv&laquo; as file</button>
			<script>
				createTable(tab_results_csv_json, tab_results_headers_json, 'tab_results_csv_table');</script>
			
			<h1>&nbsp;Errors</h1>
			<button class='copy_clipboard_button' onclick='copy_to_clipboard_from_id("simple_pre_tab_tab_errors")'> Copy raw data to clipboard</button>
			<button onclick='download_as_file("simple_pre_tab_tab_errors", "oo_errors.txt")'> Download &raquo;oo_errors.txt&laquo; 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/CDBD_RialtoBridgeTimelapse_ft_10_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4560953/4560953_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_RialtoBridgeTimelapse_ft_10_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4561224/4561224_0_log.err not found


/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/CDBD_RialtoBridgeTimelapse_ft_10_HoeffdingTreeClassifier_ACCURACY-RUNTIME/2/single_runs/4569296/4569296_0_log.err not found

</span></pre><button class='copy_clipboard_button' onclick='copy_to_clipboard_from_id("simple_pre_tab_tab_errors")'> Copy raw data to clipboard</button>
			<button onclick='download_as_file("simple_pre_tab_tab_errors", "oo_errors.txt")'> Download &raquo;oo_errors.txt&laquo; as file</button>
			
			<h1>&nbsp;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>None                                                                                                                                           </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>1                                                                                                                                              </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/CDBD_RialtoBridgeTimelapse_ft_10_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0 </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>[&#039;RESULT=min&#039;]                                                                                                                                 </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>30                                                                                                                                             </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>&nbsp;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")'> Copy raw data to clipboard</button>
			<button onclick='download_as_file("pre_tab_worker_usage", "worker_usage.csv")'> Download &raquo;worker_usage.csv&laquo; as file</button>
<pre id="pre_tab_worker_usage">1744998972.7942538,20,0,0
1744998983.4671361,20,0,0
1744998984.4026148,20,0,0
1744998984.6270125,20,0,0
1744998986.2298543,20,1,5
1744998991.8599193,20,1,5
1744998992.9487712,20,1,5
1744998993.159193,20,1,5
1744998994.6573682,20,2,10
1744999003.0835202,20,2,10
1744999003.916936,20,2,10
1744999004.1493893,20,2,10
1744999005.5682154,20,3,15
1744999016.2812896,20,3,15
1744999017.1623054,20,3,15
1744999017.383674,20,3,15
1744999019.0190353,20,4,20
1744999032.6904814,20,4,20
1744999033.5763905,20,4,20
1744999033.795636,20,4,20
1744999035.2220998,20,5,25
1744999051.3485217,20,5,25
1744999052.2596107,20,5,25
1744999052.4946787,20,5,25
1744999054.1137815,20,6,30
1744999073.8098502,20,6,30
1744999074.7001584,20,6,30
1744999074.9087534,20,6,30
1744999076.319926,20,7,35
1744999098.1299622,20,7,35
1744999099.0990105,20,7,35
1744999099.3166733,20,7,35
1744999101.0109496,20,8,40
1744999126.2743213,20,8,40
1744999127.1919043,20,8,40
1744999127.4099412,20,8,40
1744999129.0301507,20,9,45
1744999156.2747698,20,9,45
1744999157.1938617,20,9,45
1744999157.4095728,20,9,45
1744999159.084643,20,10,50
1744999189.3888118,20,10,50
1744999190.3700569,20,10,50
1744999190.6147103,20,10,50
1744999192.0445719,20,11,55
1744999225.1593316,20,11,55
1744999226.3007493,20,11,55
1744999226.5269365,20,11,55
1744999228.0280812,20,12,60
1744999262.7259026,20,12,60
1744999263.6143734,20,12,60
1744999263.8211093,20,12,60
1744999265.2127185,20,13,65
1744999265.7872958,20,13,65
1744999269.7883081,20,12,60
1744999305.8399472,20,11,55
1744999305.9146798,20,11,55
1744999306.8925533,20,11,55
1744999307.158437,20,11,55
1744999308.634763,20,12,60
1744999343.2766705,20,12,60
1744999344.2793057,20,12,60
1744999344.5162022,20,12,60
1744999346.0491915,20,13,65
1744999346.753912,20,13,65
1744999385.1494517,20,12,60
1744999385.2169278,20,12,60
1744999386.0934446,20,12,60
1744999386.3105886,20,12,60
1744999388.0793488,20,13,65
1744999425.8855376,20,13,65
1744999426.9094355,20,13,65
1744999427.1717858,20,13,65
1744999428.9238079,20,14,70
1744999429.5181968,20,14,70
1744999433.7900293,20,13,65
1744999473.2965739,20,12,60
1744999473.3627574,20,12,60
1744999474.291949,20,12,60
1744999474.5153546,20,12,60
1744999476.0312479,20,13,65
1744999513.9259796,20,13,65
1744999515.1430066,20,13,65
1744999515.3571985,20,13,65
1744999517.0351198,20,14,70
1744999517.603247,20,14,70
1744999521.3972955,20,13,65
1744999525.4742994,20,12,60
1744999529.5573056,20,11,55
1744999541.6394649,20,10,50
1744999564.623631,20,9,45
1744999564.698733,20,9,45
1744999565.5768747,20,9,45
1744999565.7912939,20,9,45
1744999567.265024,20,10,50
1744999570.6911805,20,10,50
1744999574.3153877,20,9,45
1744999600.0707054,20,8,40
1744999600.2489161,20,8,40
1744999600.732361,20,8,40
1744999604.330266,20,7,35
1744999608.2164905,20,6,30
1744999628.2245994,20,5,25
1744999629.4223802,20,5,25
1744999650.8627422,20,5,25
1744999672.5984368,20,5,25
1744999694.238709,20,5,25
1744999715.8852735,20,5,25
1744999721.4422257,20,5,25
1744999738.4464512,20,4,20
1744999738.5632381,20,4,20
1744999757.2128773,20,4,20
1744999762.7537746,20,4,20
1744999771.799757,20,3,15
1744999777.9124527,20,2,10
1744999778.034388,20,2,10
1744999791.8494322,20,2,10
1744999805.1775753,20,2,10
1744999818.1738002,20,2,10
1744999826.5578077,20,2,10
1744999832.5560033,20,1,5
1744999832.6776853,20,1,5
1744999843.347248,20,1,5
1744999854.1202214,20,1,5
1744999864.8060603,20,1,5
1744999875.3760135,20,1,5
1744999885.7642794,20,1,5
1744999896.7317722,20,1,5
1744999907.2285876,20,1,5
1744999917.6735644,20,1,5
1744999928.1421936,20,1,5
1744999938.567771,20,1,5
1744999949.068745,20,1,5
1744999959.151944,20,1,5
1744999964.727019,20,1,5
1744999971.1209955,20,0,0
1744999981.1126106,20,0,0
1745000246.6499982,20,0,0
1745000246.8544478,20,0,0
1745000248.4444087,20,1,5
1745000253.8572733,20,1,5
1745000463.6422374,20,1,5
1745000464.0255225,20,1,5
1745000465.4311202,20,2,10
1745000472.4284449,20,2,10
1745000657.7725017,20,2,10
1745000658.0678403,20,2,10
1745000660.473627,20,3,15
1745000669.4486263,20,3,15
1745000866.454139,20,3,15
1745000867.0269923,20,3,15
1745000868.5942018,20,4,20
1745000869.219363,20,4,20
1745000873.412209,20,3,15
1745000885.2749295,20,2,10
1745000885.3425777,20,2,10
1745001221.5255077,20,2,10
1745001221.9883788,20,2,10
1745001223.4370034,20,3,15
1745001224.113433,20,3,15
1745001228.5364025,20,2,10
1745001237.5894687,20,1,5
1745001237.8856432,20,1,5
1745001639.0771303,20,1,5
1745001639.4323738,20,1,5
1745001641.1212592,20,2,10
1745001641.8129127,20,2,10
1745001651.0007164,20,1,5
1745001651.0732296,20,1,5
1745002199.292517,20,1,5
1745002199.8498642,20,1,5
1745002203.087636,20,2,10
1745002203.791405,20,2,10
1745002213.1921659,20,1,5
1745002213.2963688,20,1,5
1745002622.9504633,20,1,5
1745002623.2892582,20,1,5
1745002626.1898465,20,2,10
1745002626.8151782,20,2,10
1745002635.745443,20,1,5
1745002635.8156672,20,1,5
1745003057.2568047,20,1,5
1745003057.6001234,20,1,5
1745003059.1098268,20,2,10
1745003059.602279,20,2,10
1745003067.032958,20,1,5
1745003067.1002197,20,1,5
1745003582.8555832,20,1,5
1745003583.2004707,20,1,5
1745003584.8691788,20,2,10
1745003585.5354183,20,2,10
1745003595.6340423,20,1,5
1745003595.7042565,20,1,5
1745004003.767855,20,1,5
1745004004.1453607,20,1,5
1745004005.9305542,20,2,10
1745004006.6524532,20,2,10
1745004017.4428096,20,1,5
1745004017.5357258,20,1,5
1745004470.348219,20,1,5
1745004470.9918232,20,1,5
1745004472.503686,20,2,10
1745004473.1711147,20,2,10
1745004482.587747,20,1,5
1745004482.659704,20,1,5
1745004955.4913127,20,1,5
1745004956.0036654,20,1,5
1745004957.4003296,20,2,10
1745004957.9466116,20,2,10
1745004965.8870728,20,1,5
1745004965.9446774,20,1,5
1745005256.7989862,20,1,5
1745005257.0704265,20,1,5
1745005259.4664364,20,2,10
1745005265.9077902,20,2,10
1745005527.982891,20,2,10
1745005528.2570555,20,2,10
1745005529.964575,20,3,15
1745005530.3894506,20,3,15
1745005538.7788675,20,2,10
1745005538.9152412,20,2,10
1745005858.3654976,20,2,10
1745005858.9561973,20,2,10
1745005860.2956264,20,3,15
1745005885.4082024,20,3,15
1745006125.3957403,20,3,15
1745006125.8932447,20,3,15
1745006127.2862504,20,4,20
1745006127.7201416,20,4,20
1745006130.458014,20,3,15
1745006139.120491,20,2,10
1745006139.1918068,20,2,10
1745006543.2415898,20,2,10
1745006543.4815035,20,2,10
1745006545.0011353,20,3,15
1745006545.4356139,20,3,15
1745006548.666569,20,2,10
1745006555.0886807,20,1,5
1745006555.2538626,20,1,5
1745006958.606532,20,1,5
1745006958.982913,20,1,5
1745006960.3664396,20,2,10
1745006960.821111,20,2,10
1745006967.893311,20,1,5
1745006967.9444025,20,1,5
1745007317.1250422,20,1,5
1745007317.427236,20,1,5
1745007319.0255358,20,2,10
1745007325.2103796,20,2,10
1745007332.9175196,20,2,10
1745007344.061154,20,2,10
1745007349.5723202,20,2,10
1745007356.0270026,20,1,5
1745007356.1140594,20,1,5
1745007365.4129324,20,1,5
1745007374.6886983,20,1,5
1745007383.9041054,20,1,5
1745007393.210906,20,1,5
1745007402.5070467,20,1,5
1745007411.837568,20,1,5
1745007421.1603956,20,1,5
1745007430.0078735,20,1,5
1745007439.3536677,20,1,5
1745007448.683798,20,1,5
1745007458.1745481,20,1,5
1745007467.52598,20,1,5
1745007476.366106,20,1,5
1745007485.6366546,20,1,5
1745007494.875763,20,1,5
1745007504.1266332,20,1,5
1745007512.932011,20,1,5
1745007522.1837776,20,1,5
1745007531.4562283,20,1,5
1745007540.7242343,20,1,5
1745007549.5377803,20,1,5
1745007558.8265505,20,1,5
1745007568.088226,20,1,5
1745007577.3888683,20,1,5
1745007586.2131028,20,1,5
1745007595.6057005,20,1,5
1745007604.871604,20,1,5
1745007614.129639,20,1,5
1745007622.959332,20,1,5
1745007632.2245767,20,1,5
1745007641.5485578,20,1,5
1745007650.8810022,20,1,5
1745007659.6976206,20,1,5
1745007669.0130439,20,1,5
1745007678.2575104,20,1,5
1745007687.122556,20,1,5
1745007696.3806796,20,1,5
1745007701.8185701,20,1,5
1745007706.5193942,20,0,0
1745007714.2449548,20,0,0
1745008002.1666222,20,0,0
1745008002.324474,20,0,0
1745008004.079873,20,1,5
1745008008.7131197,20,1,5
1745008290.2744427,20,1,5
1745008290.6195076,20,1,5
1745008292.0321453,20,2,10
1745008298.4521456,20,2,10
1745008634.5338612,20,2,10
1745008634.9348917,20,2,10
1745008636.3238034,20,3,15
1745008636.759793,20,3,15
1745008645.1565225,20,2,10
1745008645.3005967,20,2,10
1745009008.431092,20,2,10
1745009008.9032233,20,2,10
1745009010.2869973,20,3,15
1745009010.708509,20,3,15
1745009013.6945221,20,2,10
1745009020.435079,20,1,5
1745009020.876561,20,1,5
1745009384.5985863,20,1,5
1745009384.9539459,20,1,5
1745009386.3343394,20,2,10
1745009386.7450302,20,2,10
1745009393.893587,20,1,5
1745009393.951414,20,1,5
1745009723.5038314,20,1,5
1745009723.9409754,20,1,5
1745009725.2957094,20,2,10
1745009732.0465662,20,2,10
1745009971.1618817,20,2,10
1745009971.4239693,20,2,10
1745009972.9615285,20,3,15
1745009981.8283017,20,3,15
1745010317.7289627,20,3,15
1745010317.9701865,20,3,15
1745010319.373296,20,4,20
1745010319.8345551,20,4,20
1745010323.1861825,20,3,15
1745010331.9493275,20,2,10
1745010332.0127099,20,2,10
1745010571.17492,20,2,10
1745010571.3990812,20,2,10
1745010572.997428,20,3,15
1745010573.4317553,20,3,15
1745010582.260918,20,2,10
1745010582.3782914,20,2,10
1745010887.4524157,20,2,10
1745010887.9146152,20,2,10
1745010889.2798846,20,3,15
1745010889.760775,20,3,15
1745010893.1366868,20,2,10
1745010899.9795864,20,1,5
1745010900.153773,20,1,5
1745011127.2145858,20,1,5
1745011127.484409,20,1,5
1745011129.0104733,20,2,10
1745011135.8106058,20,2,10
1745011332.8861666,20,2,10
1745011333.123168,20,2,10
1745011334.7205782,20,3,15
1745011335.1493068,20,3,15
1745011344.2184856,20,2,10
1745011344.3519194,20,2,10
1745011708.5189164,20,2,10
1745011708.9322932,20,2,10
1745011710.3080173,20,3,15
1745011710.7930827,20,3,15
1745011714.1585321,20,2,10
1745011721.0398579,20,1,5
1745011721.1996505,20,1,5
1745012111.2733316,20,1,5
1745012111.603255,20,1,5
1745012113.0421703,20,2,10
1745012119.7995825,20,2,10
1745012436.5808623,20,2,10
1745012436.9101362,20,2,10
1745012438.2786486,20,3,15
1745012438.730335,20,3,15
1745012441.9400206,20,2,10
1745012449.422004,20,1,5
1745012449.8654523,20,1,5
1745012806.7251897,20,1,5
1745012807.0050998,20,1,5
1745012808.413718,20,2,10
1745012808.6593838,20,2,10
1745012816.2534988,20,1,5
1745012816.3455374,20,1,5
1745013180.3953726,20,1,5
1745013180.92754,20,1,5
1745013183.0215828,20,2,10
1745013183.5086052,20,2,10
1745013190.472349,20,1,5
1745013190.5605323,20,1,5
1745013527.842485,20,1,5
1745013528.1419928,20,1,5
1745013530.7413478,20,2,10
1745013531.1922255,20,2,10
1745013538.1691666,20,1,5
1745013538.2625623,20,1,5
1745013882.9676754,20,1,5
1745013883.2744105,20,1,5
1745013885.0085104,20,2,10
1745013885.4467995,20,2,10
1745013892.3719394,20,1,5
1745013892.440744,20,1,5
1745014295.6383457,20,1,5
1745014295.9616594,20,1,5
1745014297.359928,20,2,10
1745014297.7937927,20,2,10
1745014305.0111182,20,1,5
1745014305.115241,20,1,5
1745014311.187914,20,1,5
1745014320.444226,20,1,5
1745014330.320883,20,1,5
1745014339.554071,20,1,5
1745014349.08569,20,1,5
1745014358.4725425,20,1,5
1745014368.013908,20,1,5
1745014377.291871,20,1,5
1745014386.578401,20,1,5
1745014396.1486628,20,1,5
1745014405.4435449,20,1,5
1745014415.00216,20,1,5
1745014424.5886078,20,1,5
1745014434.2169154,20,1,5
1745014443.5135105,20,1,5
1745014452.8172832,20,1,5
1745014462.3632238,20,1,5
1745014471.6609883,20,1,5
1745014481.2625976,20,1,5
1745014490.603795,20,1,5
1745014499.8872538,20,1,5
1745014509.4548967,20,1,5
1745014518.7642667,20,1,5
1745014528.03313,20,1,5
1745014537.5679383,20,1,5
1745014546.8440535,20,1,5
1745014556.2363658,20,1,5
1745014565.7883458,20,1,5
1745014575.1098685,20,1,5
1745014584.382835,20,1,5
1745014593.9821072,20,1,5
1745014603.287616,20,1,5
1745014612.5217583,20,1,5
1745014621.783786,20,1,5
1745014631.4284608,20,1,5
1745014640.7970128,20,1,5
1745014646.2187219,20,1,5
1745014650.9854577,20,0,0
1745014659.0552373,20,0,0
1745015071.565022,20,0,0
1745015071.7407575,20,0,0
1745015073.122092,20,1,5
1745015078.803455,20,1,5
1745015446.8687248,20,1,5
1745015447.149524,20,1,5
1745015448.5964184,20,2,10
1745015455.7848134,20,2,10
1745015849.220514,20,2,10
1745015849.5001192,20,2,10
1745015851.0162141,20,3,15
1745015851.4689083,20,3,15
1745015855.2110417,20,2,10
1745015862.2858202,20,1,5
1745015862.514459,20,1,5
1745016158.7816997,20,1,5
1745016159.0768442,20,1,5
1745016160.44149,20,2,10
1745016167.5371258,20,2,10
1745016468.401276,20,2,10
1745016468.8945792,20,2,10
1745016470.2906182,20,3,15
1745016470.7464745,20,3,15
1745016480.6170504,20,2,10
1745016480.8346019,20,2,10
1745016849.256311,20,2,10
1745016849.49733,20,2,10
1745016851.0687308,20,3,15
1745016851.527398,20,3,15
1745016855.1699662,20,2,10
1745016862.5348408,20,1,5
1745016862.858089,20,1,5
1745017122.6524122,20,1,5
1745017122.9684052,20,1,5
1745017124.3815596,20,2,10
1745017131.3668852,20,2,10
1745017425.390913,20,2,10
1745017425.8834915,20,2,10
1745017427.2533815,20,3,15
1745017427.73051,20,3,15
1745017437.187372,20,2,10
1745017437.3183684,20,2,10
1745017742.3718982,20,2,10
1745017742.8905005,20,2,10
1745017744.971451,20,3,15
1745017745.3981948,20,3,15
1745017748.8331876,20,2,10
1745017756.2191036,20,1,5
1745017756.4086113,20,1,5
1745018019.7523549,20,1,5
1745018020.0534818,20,1,5
1745018021.449755,20,2,10
1745018028.8291807,20,2,10
1745018447.0952,20,2,10
1745018447.3984892,20,2,10
1745018449.0055087,20,3,15
1745018449.4417014,20,3,15
1745018452.4610872,20,2,10
1745018460.017585,20,1,5
1745018460.2014656,20,1,5
1745018790.3754482,20,1,5
1745018791.0304048,20,1,5
1745018792.4000094,20,2,10
1745018799.2306836,20,2,10
1745019108.3368835,20,2,10
1745019108.8943048,20,2,10
1745019110.2625186,20,3,15
1745019110.7584655,20,3,15
1745019120.0809443,20,2,10
1745019120.2206864,20,2,10
1745019506.204978,20,2,10
1745019506.5044231,20,2,10
1745019508.0250783,20,3,15
1745019508.4452255,20,3,15
1745019512.073475,20,2,10
1745019519.340885,20,1,5
1745019519.7917159,20,1,5
1745019837.696668,20,1,5
1745019837.9778833,20,1,5
1745019839.3519306,20,2,10
1745019846.2801216,20,2,10
1745020068.3158023,20,2,10
1745020068.8030133,20,2,10
1745020070.2166758,20,3,15
1745020070.7042723,20,3,15
1745020080.1149516,20,2,10
1745020080.2658079,20,2,10
1745020378.2398565,20,2,10
1745020378.467999,20,2,10
1745020380.0418856,20,3,15
1745020380.4916232,20,3,15
1745020383.6528492,20,2,10
1745020390.9679255,20,1,5
1745020391.1906312,20,1,5
1745020782.904256,20,1,5
1745020783.186738,20,1,5
1745020784.678041,20,2,10
1745020785.1378062,20,2,10
1745020792.6160536,20,1,5
1745020792.8662126,20,1,5
1745021069.5222015,20,1,5
1745021069.9625216,20,1,5
1745021071.3415253,20,2,10
1745021071.8012264,20,2,10
1745021079.363112,20,1,5
1745021079.440466,20,1,5
1745021422.158776,20,1,5
1745021422.4269347,20,1,5
1745021424.0176406,20,2,10
1745021424.465013,20,2,10
1745021432.2931504,20,1,5
1745021432.4448044,20,1,5
1745021438.3237727,20,1,5
1745021447.9272697,20,1,5
1745021457.5935555,20,1,5
1745021467.112861,20,1,5
1745021477.0345893,20,1,5
1745021486.8897972,20,1,5
1745021496.4732003,20,1,5
1745021506.0273216,20,1,5
1745021515.6248164,20,1,5
1745021525.169834,20,1,5
1745021534.7515662,20,1,5
1745021544.3274815,20,1,5
1745021553.9873679,20,1,5
1745021563.5464764,20,1,5
1745021573.1275468,20,1,5
1745021582.7685878,20,1,5
1745021592.3901975,20,1,5
1745021602.0535026,20,1,5
1745021611.7338824,20,1,5
1745021621.4004776,20,1,5
1745021626.8321493,20,1,5
1745021631.8977597,20,0,0
1745021640.5051146,20,0,0
1745021972.8996372,20,0,0
1745021973.0588534,20,0,0
1745021974.466892,20,1,5
1745021979.0762327,20,1,5
1745022254.9818022,20,1,5
1745022255.275726,20,1,5
1745022257.036084,20,2,10
1745022263.8972523,20,2,10
1745022553.3539815,20,2,10
1745022553.8648527,20,2,10
1745022555.2710087,20,3,15
1745022558.1465106,20,3,15
1745022565.9537148,20,2,10
1745022566.1255631,20,2,10
1745022878.5342455,20,2,10
1745022878.9621258,20,2,10
1745022880.3782067,20,3,15
1745022880.8668547,20,3,15
1745022883.9806092,20,2,10
1745022891.9039316,20,1,5
1745022892.0768082,20,1,5
1745023273.2329469,20,1,5
1745023273.5304372,20,1,5
1745023275.0281167,20,2,10
1745023275.4979541,20,2,10
1745023283.999444,20,1,5
1745023284.0850196,20,1,5
1745023598.0751085,20,1,5
1745023598.3511364,20,1,5
1745023600.0318792,20,2,10
1745023600.467264,20,2,10
1745023608.373126,20,1,5
1745023608.4311507,20,1,5
1745023960.9055004,20,1,5
1745023961.2404478,20,1,5
1745023962.9637234,20,2,10
1745023963.4275212,20,2,10
1745023971.2786026,20,1,5
1745023971.3376114,20,1,5
1745024248.368611,20,1,5
1745024248.9740927,20,1,5
1745024250.3392775,20,2,10
1745024250.779902,20,2,10
1745024258.8309784,20,1,5
1745024258.9323688,20,1,5
1745024697.6271548,20,1,5
1745024697.9662182,20,1,5
1745024699.3493319,20,2,10
1745024699.8114905,20,2,10
1745024707.469153,20,1,5
1745024707.5257723,20,1,5
1745025139.2378395,20,1,5
1745025139.5228024,20,1,5
1745025141.0325367,20,2,10
1745025141.4774566,20,2,10
1745025148.9897792,20,1,5
1745025149.1537008,20,1,5
1745025495.1064515,20,1,5
1745025496.4288774,20,1,5
1745025498.0162506,20,2,10
1745025498.4596326,20,2,10
1745025505.7642388,20,1,5
1745025505.9296858,20,1,5
1745025946.5438712,20,1,5
1745025946.9424841,20,1,5
1745025948.3801203,20,2,10
1745025948.8100877,20,2,10
1745025956.4354029,20,1,5
1745025956.4934263,20,1,5
1745026332.915554,20,1,5
1745026333.1828434,20,1,5
1745026334.6861067,20,2,10
1745026335.1840763,20,2,10
1745026342.5407162,20,1,5
1745026342.598281,20,1,5
1745026715.9045076,20,1,5
1745026716.1832662,20,1,5
1745026717.606596,20,2,10
1745026718.0968819,20,2,10
1745026725.520088,20,1,5
1745026725.8504167,20,1,5
1745027161.251452,20,1,5
1745027161.5539095,20,1,5
1745027163.0338216,20,2,10
1745027163.5612483,20,2,10
1745027171.9587083,20,1,5
1745027172.0269582,20,1,5
1745027558.4597414,20,1,5
1745027558.9486396,20,1,5
1745027560.3202555,20,2,10
1745027560.8087058,20,2,10
1745027568.354696,20,1,5
1745027568.4182224,20,1,5
1745027886.8684926,20,1,5
1745027887.1655002,20,1,5
1745027888.6673295,20,2,10
1745027889.1154253,20,2,10
1745027896.5729032,20,1,5
1745027896.852435,20,1,5
1745028411.4391413,20,1,5
1745028412.1313736,20,1,5
1745028413.6918814,20,2,10
1745028414.5761466,20,2,10
1745028423.6406121,20,1,5
1745028423.701695,20,1,5
1745028851.0309522,20,1,5
1745028851.4560206,20,1,5
1745028853.1689894,20,2,10
1745028854.0942833,20,2,10
1745028863.8437724,20,1,5
1745028863.9239318,20,1,5
1745029406.2620075,20,1,5
1745029406.5863278,20,1,5
1745029408.010592,20,2,10
1745029408.4301355,20,2,10
1745029416.4525785,20,1,5
1745029416.5583618,20,1,5
1745029422.79296,20,1,5
1745029433.3877783,20,1,5
1745029444.569612,20,1,5
1745029454.3536985,20,1,5
1745029464.6897082,20,1,5
1745029474.880789,20,1,5
1745029484.6750824,20,1,5
1745029494.4949627,20,1,5
1745029504.312084,20,1,5
1745029514.6376004,20,1,5
1745029525.04882,20,1,5
1745029535.4663363,20,1,5
1745029545.3595963,20,1,5
1745029554.6954248,20,1,5
1745029564.659713,20,1,5
1745029574.6259022,20,1,5
1745029584.7034106,20,1,5
1745029594.7011588,20,1,5
1745029605.4476247,20,1,5
1745029615.8251562,20,1,5
1745029625.174459,20,1,5
1745029634.928767,20,1,5
1745029644.6914325,20,1,5
1745029654.4634762,20,1,5
1745029664.2570064,20,1,5
1745029674.112658,20,1,5
1745029684.191209,20,1,5
1745029694.8252232,20,1,5
1745029704.716156,20,1,5
1745029715.0900574,20,1,5
1745029725.1211138,20,1,5
1745029730.5389965,20,1,5
1745029736.098703,20,0,0
1745029744.5836656,20,0,0
1745030086.1714144,20,0,0
1745030086.3483768,20,0,0
1745030088.0006115,20,1,5
1745030092.5522115,20,1,5
1745030418.5663855,20,1,5
1745030418.9469578,20,1,5
1745030421.4030418,20,2,10
1745030421.8551235,20,2,10
1745030429.5675669,20,1,5
1745030429.6390953,20,1,5
1745030843.790197,20,1,5
1745030844.0659661,20,1,5
1745030845.4313948,20,2,10
1745030845.8601,20,2,10
1745030853.5212557,20,1,5
1745030853.8637624,20,1,5
1745031337.172482,20,1,5
1745031337.45292,20,1,5
1745031339.0059109,20,2,10
1745031339.4333987,20,2,10
1745031347.6237812,20,1,5
1745031347.6892743,20,1,5
1745031765.5077333,20,1,5
1745031765.975177,20,1,5
1745031767.3447032,20,2,10
1745031767.8834338,20,2,10
1745031775.5988605,20,1,5
1745031775.8644667,20,1,5
1745032275.281089,20,1,5
1745032275.7838507,20,1,5
1745032278.2867775,20,2,10
1745032286.8041189,20,2,10
1745032657.2324429,20,2,10
1745032657.468919,20,2,10
1745032659.0424092,20,3,15
1745032659.496552,20,3,15
1745032663.2449043,20,2,10
1745032670.7792397,20,1,5
1745032670.9458423,20,1,5
1745033017.614958,20,1,5
1745033017.9504368,20,1,5
1745033020.3948631,20,2,10
1745033020.8595653,20,2,10
1745033029.089988,20,1,5
1745033029.1489794,20,1,5
1745033449.8853931,20,1,5
1745033450.1791658,20,1,5
1745033451.5832372,20,2,10
1745033452.041091,20,2,10
1745033459.7943552,20,1,5
1745033459.9613822,20,1,5
1745033914.8109214,20,1,5
1745033915.0856402,20,1,5
1745033916.4936671,20,2,10
1745033916.9758623,20,2,10
1745033925.208644,20,1,5
1745033925.2742815,20,1,5
1745034270.9801853,20,1,5
1745034271.3375373,20,1,5
1745034273.0628192,20,2,10
1745034273.4981823,20,2,10
1745034281.1386995,20,1,5
1745034281.2984104,20,1,5
1745034597.3098495,20,1,5
1745034597.79892,20,1,5
1745034599.2253094,20,2,10
1745034599.6448996,20,2,10
1745034607.4557247,20,1,5
1745034607.5204315,20,1,5
1745035026.9017918,20,1,5
1745035027.1820164,20,1,5
1745035028.6608655,20,2,10
1745035029.1059105,20,2,10
1745035036.877878,20,1,5
1745035037.0559394,20,1,5
1745035380.4232266,20,1,5
1745035381.1341276,20,1,5
1745035382.5596492,20,2,10
1745035383.0016725,20,2,10
1745035391.0757604,20,1,5
1745035391.1473324,20,1,5
1745035788.9060285,20,1,5
1745035789.1790261,20,1,5
1745035790.6122744,20,2,10
1745035791.122863,20,2,10
1745035799.6810195,20,1,5
1745035799.7499518,20,1,5
1745036210.6604037,20,1,5
1745036210.968883,20,1,5
1745036212.3415344,20,2,10
1745036212.8135562,20,2,10
1745036220.7217681,20,1,5
1745036220.8823566,20,1,5
1745036676.7055683,20,1,5
1745036676.9756587,20,1,5
1745036678.661156,20,2,10
1745036679.2187202,20,2,10
1745036687.1907814,20,1,5
1745036687.2745688,20,1,5
1745037082.0403786,20,1,5
1745037082.3789387,20,1,5
1745037084.043361,20,2,10
1745037084.618512,20,2,10
1745037092.4383178,20,1,5
1745037092.500543,20,1,5
1745037439.4594579,20,1,5
1745037439.9592118,20,1,5
1745037442.4021964,20,2,10
1745037442.9066153,20,2,10
1745037451.0837977,20,1,5
1745037451.1452281,20,1,5
1745037945.5545099,20,1,5
1745037945.975592,20,1,5
1745037947.4523175,20,2,10
1745037947.8563247,20,2,10
1745037955.7721415,20,1,5
1745037955.8978922,20,1,5
1745037962.212309,20,1,5
1745037972.4982517,20,1,5
1745037982.6282394,20,1,5
1745037992.8959906,20,1,5
1745038002.7745392,20,1,5
1745038012.8332026,20,1,5
1745038022.916255,20,1,5
1745038032.9041092,20,1,5
1745038042.9867058,20,1,5
1745038052.7318149,20,1,5
1745038062.7138987,20,1,5
1745038072.7645211,20,1,5
1745038082.8172703,20,1,5
1745038092.6703753,20,1,5
1745038102.8430085,20,1,5
1745038113.1252146,20,1,5
1745038123.028487,20,1,5
1745038133.2768958,20,1,5
1745038143.854016,20,1,5
1745038153.7673168,20,1,5
1745038163.817298,20,1,5
1745038169.2294297,20,1,5
1745038174.8553512,20,0,0
1745038183.2909064,20,0,0
1745038609.6073177,20,0,0
1745038609.7968235,20,0,0
1745038611.1829789,20,1,5
1745038616.0494444,20,1,5
1745039003.0976195,20,1,5
1745039003.409783,20,1,5
1745039005.05333,20,2,10
1745039005.5543828,20,2,10
1745039013.784638,20,1,5
1745039013.8565445,20,1,5
1745039357.7911584,20,1,5
1745039358.0573773,20,1,5
1745039359.4306216,20,2,10
1745039359.8784173,20,2,10
1745039367.6274748,20,1,5
1745039367.701993,20,1,5
1745039718.9231915,20,1,5
1745039719.2320738,20,1,5
1745039720.9001102,20,2,10
1745039721.4731228,20,2,10
1745039729.9639027,20,1,5
1745039730.0349903,20,1,5
1745040044.679559,20,1,5
1745040044.9567952,20,1,5
1745040046.3369162,20,2,10
1745040053.8135798,20,2,10
1745040427.5314107,20,2,10
1745040427.9174004,20,2,10
1745040429.2615788,20,3,15
1745040429.6890264,20,3,15
1745040433.225704,20,2,10
1745040441.0522826,20,1,5
1745040441.2156427,20,1,5
1745040837.872101,20,1,5
1745040838.1896846,20,1,5
1745040839.6216607,20,2,10
1745040840.077012,20,2,10
1745040848.171004,20,1,5
1745040848.2368515,20,1,5
1745041203.0318177,20,1,5
1745041203.3084128,20,1,5
1745041205.009621,20,2,10
1745041205.4311278,20,2,10
1745041213.8797042,20,1,5
1745041214.0509274,20,1,5
1745041622.0619414,20,1,5
1745041622.331972,20,1,5
1745041624.0389128,20,2,10
1745041624.482933,20,2,10
1745041632.670809,20,1,5
1745041632.7274144,20,1,5
1745041979.5616722,20,1,5
1745041979.957613,20,1,5
1745041981.3715734,20,2,10
1745041981.8268752,20,2,10
1745041990.1927762,20,1,5
1745041990.3524907,20,1,5
1745042484.9717598,20,1,5
1745042486.3099508,20,1,5
1745042488.01006,20,2,10
1745042488.4416533,20,2,10
1745042496.818734,20,1,5
1745042497.2190013,20,1,5
1745042962.6956158,20,1,5
1745042962.9615338,20,1,5
1745042964.328407,20,2,10
1745042964.749207,20,2,10
1745042972.7228534,20,1,5
1745042972.7841465,20,1,5
1745043406.5084567,20,1,5
1745043407.110928,20,1,5
1745043408.4678314,20,2,10
1745043408.9237592,20,2,10
1745043417.2693772,20,1,5
1745043417.332706,20,1,5
1745043938.3433244,20,1,5
1745043938.9176004,20,1,5
1745043940.2858293,20,2,10
1745043940.7146926,20,2,10
1745043949.3989835,20,1,5
1745043949.8338351,20,1,5
1745044309.468976,20,1,5
1745044309.943597,20,1,5
1745044311.3343034,20,2,10
1745044311.7715924,20,2,10
1745044320.2506776,20,1,5
1745044321.6064155,20,1,5
1745044777.8578959,20,1,5
1745044778.1281495,20,1,5
1745044779.476041,20,2,10
1745044779.925801,20,2,10
1745044787.9829123,20,1,5
1745044788.0436072,20,1,5
1745045204.4273112,20,1,5
1745045205.9471788,20,1,5
1745045207.3319116,20,2,10
1745045207.7822018,20,2,10
1745045216.1489725,20,1,5
1745045216.3181214,20,1,5
1745045627.2466311,20,1,5
1745045627.6068778,20,1,5
1745045629.0226474,20,2,10
1745045629.4582968,20,2,10
1745045637.9802177,20,1,5
1745045638.1384406,20,1,5
1745046203.6170976,20,1,5
1745046207.7543745,20,1,5
1745046209.484254,20,2,10
1745046209.9188688,20,2,10
1745046218.425966,20,1,5
1745046218.4928317,20,1,5
1745046661.3866205,20,1,5
1745046661.9505064,20,1,5
1745046665.0272183,20,2,10
1745046665.4456396,20,2,10
1745046673.6544096,20,1,5
1745046673.758859,20,1,5
1745046680.440029,20,1,5
1745046690.9216194,20,1,5
1745046701.0731435,20,1,5
1745046711.8884504,20,1,5
1745046722.0172374,20,1,5
1745046732.1772282,20,1,5
1745046742.8304555,20,1,5
1745046752.9765987,20,1,5
1745046763.0851219,20,1,5
1745046773.4895377,20,1,5
1745046783.4642646,20,1,5
1745046793.4857588,20,1,5
1745046803.8713593,20,1,5
1745046814.0250528,20,1,5
1745046824.1779373,20,1,5
1745046834.3707688,20,1,5
1745046845.017256,20,1,5
1745046855.1821573,20,1,5
1745046865.7699122,20,1,5
1745046875.9456747,20,1,5
1745046881.355771,20,1,5
1745046887.4460194,20,0,0
1745046896.254701,20,0,0
1745047237.0540144,20,0,0
1745047237.2314663,20,0,0
1745047238.9576912,20,1,5
1745047244.8097563,20,1,5
1745047748.9946268,20,1,5
1745047749.2515666,20,1,5
1745047750.9659479,20,2,10
1745047751.4145546,20,2,10
1745047759.70318,20,1,5
1745047759.7695203,20,1,5
1745048372.924909,20,1,5
1745048373.2279198,20,1,5
1745048374.9091024,20,2,10
1745048375.3775,20,2,10
1745048383.9146252,20,1,5
1745048383.9768083,20,1,5
1745048880.7935946,20,1,5
1745048881.1628993,20,1,5
1745048882.92948,20,2,10
1745048883.4750469,20,2,10
1745048892.048618,20,1,5
1745048892.1118302,20,1,5
1745049390.53712,20,1,5
1745049390.9633088,20,1,5
1745049392.3653305,20,2,10
1745049392.7986155,20,2,10
1745049402.211207,20,1,5
1745049402.2751071,20,1,5
1745049924.7940893,20,1,5
1745049925.0661018,20,1,5
1745049926.438217,20,2,10
1745049926.8663678,20,2,10
1745049935.2449667,20,1,5
1745049935.305345,20,1,5
1745050501.5429413,20,1,5
1745050501.9593387,20,1,5
1745050505.0298476,20,2,10
1745050505.4754279,20,2,10
1745050513.704359,20,1,5
1745050513.7738595,20,1,5
1745050933.1027818,20,1,5
1745050933.3835795,20,1,5
1745050935.01989,20,2,10
1745050935.430382,20,2,10
1745050943.842032,20,1,5
1745050943.9151697,20,1,5
1745051438.246804,20,1,5
1745051438.5847163,20,1,5
1745051439.9972353,20,2,10
1745051440.422575,20,2,10
1745051448.9035842,20,1,5
1745051448.9687173,20,1,5
1745052025.221201,20,1,5
1745052025.4952812,20,1,5
1745052027.0071595,20,2,10
1745052027.4476767,20,2,10
1745052035.851162,20,1,5
1745052035.922568,20,1,5
1745052562.3664086,20,1,5
1745052562.9569554,20,1,5
1745052564.322287,20,2,10
1745052564.7801178,20,2,10
1745052573.2464743,20,1,5
1745052573.3186772,20,1,5
1745053139.692053,20,1,5
1745053139.9633756,20,1,5
1745053141.3324947,20,2,10
1745053141.777247,20,2,10
1745053150.1830177,20,1,5
1745053150.3506968,20,1,5
1745053712.4578547,20,1,5
1745053712.9593637,20,1,5
1745053714.4680457,20,2,10
1745053714.8934069,20,2,10
1745053723.4448535,20,1,5
1745053723.5127776,20,1,5
1745054158.5706165,20,1,5
1745054158.9466937,20,1,5
1745054160.3874798,20,2,10
1745054168.4372537,20,2,10
1745054791.5139081,20,2,10
1745054791.9047983,20,2,10
1745054793.2689111,20,3,15
1745054793.7019663,20,3,15
1745054797.543528,20,2,10
1745054805.9027364,20,1,5
1745054806.0658977,20,1,5
1745055333.7073486,20,1,5
1745055333.9809477,20,1,5
1745055335.350501,20,2,10
1745055335.7995815,20,2,10
1745055344.377498,20,1,5
1745055344.4417088,20,1,5
1745055858.0750194,20,1,5
1745055858.368124,20,1,5
1745055860.9919324,20,2,10
1745055861.4274917,20,2,10
1745055870.2385588,20,1,5
1745055870.3216777,20,1,5
1745056409.157835,20,1,5
1745056409.4682777,20,1,5
1745056411.037141,20,2,10
1745056411.5546703,20,2,10
1745056420.142876,20,1,5
1745056420.2044337,20,1,5
1745057035.2759323,20,1,5
1745057035.7874293,20,1,5
1745057038.4612074,20,2,10
1745057038.9276617,20,2,10
1745057048.7290196,20,1,5
1745057048.8922348,20,1,5
1745057584.793704,20,1,5
1745057585.1051958,20,1,5
1745057586.486582,20,2,10
1745057586.8955593,20,2,10
1745057595.379965,20,1,5
1745057595.8548753,20,1,5
1745057602.5048416,20,1,5
1745057613.850985,20,1,5
1745057624.2919898,20,1,5
1745057634.8934035,20,1,5
1745057645.1682785,20,1,5
1745057655.4538965,20,1,5
1745057665.674109,20,1,5
1745057675.9585347,20,1,5
1745057686.3121767,20,1,5
1745057696.6236525,20,1,5
1745057706.9162545,20,1,5
1745057717.9883687,20,1,5
1745057728.433904,20,1,5
1745057738.9211447,20,1,5
1745057749.3326845,20,1,5
1745057759.7509868,20,1,5
1745057770.1878037,20,1,5
1745057780.597883,20,1,5
1745057791.0926502,20,1,5
1745057801.5670416,20,1,5
1745057811.8477623,20,1,5
1745057822.0888884,20,1,5
1745057832.3684316,20,1,5
1745057842.6150012,20,1,5
1745057848.036735,20,1,5
1745057853.8276238,20,0,0
1745057862.888883,20,0,0
1745058410.7409909,20,0,0
1745058410.9144115,20,0,0
1745058412.2914479,20,1,5
1745058417.8693688,20,1,5
1745058811.5932903,20,1,5
1745058811.958557,20,1,5
1745058813.61357,20,2,10
1745058814.069955,20,2,10
1745058823.0052571,20,1,5
1745058823.066359,20,1,5
1745059398.2528782,20,1,5
1745059401.257216,20,1,5
1745059403.0451326,20,2,10
1745059403.469167,20,2,10
1745059412.2792647,20,1,5
1745059412.3396132,20,1,5
1745059996.8292704,20,1,5
1745059997.1073833,20,1,5
1745059998.5090983,20,2,10
1745059998.9529068,20,2,10
1745060007.3489683,20,1,5
1745060007.802368,20,1,5
1745060432.9801185,20,1,5
1745060436.995142,20,1,5
1745060438.9911983,20,2,10
1745060439.5426533,20,2,10
1745060448.3922803,20,1,5
1745060448.464441,20,1,5
1745061065.2794642,20,1,5
1745061065.6276486,20,1,5
1745061067.0298579,20,2,10
1745061067.5049934,20,2,10
1745061076.951501,20,1,5
1745061077.0271337,20,1,5
1745061501.8672686,20,1,5
1745061502.129098,20,1,5
1745061503.5057065,20,2,10
1745061503.9278846,20,2,10
1745061513.0233097,20,1,5
1745061513.0904899,20,1,5
1745062046.8013487,20,1,5
1745062047.0979078,20,1,5
1745062048.4518867,20,2,10
1745062048.8916512,20,2,10
1745062058.3208249,20,1,5
1745062058.3832533,20,1,5
1745062667.0576286,20,1,5
1745062668.3818045,20,1,5
1745062670.0069327,20,2,10
1745062670.4457402,20,2,10
1745062679.4225287,20,1,5
1745062679.4832811,20,1,5
1745063250.570312,20,1,5
1745063250.9746253,20,1,5
1745063252.350344,20,2,10
1745063252.7843025,20,2,10
1745063262.0549738,20,1,5
1745063262.1138196,20,1,5
1745063700.1481695,20,1,5
1745063700.4227405,20,1,5
1745063703.010351,20,2,10
1745063703.4531665,20,2,10
1745063712.3775048,20,1,5
1745063712.4370904,20,1,5
1745064327.302312,20,1,5
1745064327.854625,20,1,5
1745064329.267002,20,2,10
1745064329.7303333,20,2,10
1745064338.6478302,20,1,5
1745064338.7182374,20,1,5
1745065013.1123414,20,1,5
1745065013.385889,20,1,5
1745065015.0072594,20,2,10
1745065015.4593241,20,2,10
1745065024.1836674,20,1,5
1745065024.3500166,20,1,5
1745065514.036049,20,1,5
1745065514.296391,20,1,5
1745065515.999962,20,2,10
1745065516.4216616,20,2,10
1745065525.125833,20,1,5
1745065525.282934,20,1,5
1745066219.1093102,20,1,5
1745066219.3713257,20,1,5
1745066221.006347,20,2,10
1745066221.440109,20,2,10
1745066230.3490903,20,1,5
1745066231.025328,20,1,5
1745066721.4071612,20,1,5
1745066721.9415326,20,1,5
1745066723.3171494,20,2,10
1745066723.7413602,20,2,10
1745066732.2269447,20,1,5
1745066732.3946762,20,1,5
1745067347.6972175,20,1,5
1745067347.983504,20,1,5
1745067349.4208133,20,2,10
1745067349.904245,20,2,10
1745067358.5328872,20,1,5
1745067358.8638601,20,1,5
1745067878.0693681,20,1,5
1745067878.337791,20,1,5
1745067880.052467,20,2,10
1745067880.498712,20,2,10
1745067889.3184612,20,1,5
1745067889.8164623,20,1,5
1745068520.5199378,20,1,5
1745068520.967256,20,1,5
1745068522.3297546,20,2,10
1745068522.7479403,20,2,10
1745068531.2583067,20,1,5
1745068531.4575188,20,1,5
1745069141.7952125,20,1,5
1745069142.069278,20,1,5
1745069143.4205232,20,2,10
1745069143.857891,20,2,10
1745069152.411814,20,1,5
1745069152.87003,20,1,5
1745069159.52357,20,1,5
1745069170.321236,20,1,5
1745069180.7379756,20,1,5
1745069191.2778206,20,1,5
1745069201.7600012,20,1,5
1745069212.281117,20,1,5
1745069222.8788636,20,1,5
1745069233.5908344,20,1,5
1745069244.2518353,20,1,5
1745069255.0322986,20,1,5
1745069265.7453156,20,1,5
1745069276.476078,20,1,5
1745069287.2416623,20,1,5
1745069298.049544,20,1,5
1745069308.0541291,20,1,5
1745069318.8036118,20,1,5
1745069329.5554957,20,1,5
1745069340.367256,20,1,5
1745069351.3446944,20,1,5
1745069361.927119,20,1,5
1745069372.4861505,20,1,5
1745069383.0539865,20,1,5
1745069393.6584842,20,1,5
1745069404.224176,20,1,5
1745069414.2044957,20,1,5
1745069419.5892272,20,1,5
1745069425.7221937,20,0,0
1745069435.2909126,20,0,0
1745069994.8514674,20,0,0
1745069995.0200596,20,0,0
1745069996.3845105,20,1,5
1745070002.1412475,20,1,5
1745070530.0723958,20,1,5
1745070530.3323061,20,1,5
1745070531.9955642,20,2,10
1745070532.4400136,20,2,10
1745070541.7655082,20,1,5
1745070541.929109,20,1,5
1745071066.1603937,20,1,5
1745071066.4384859,20,1,5
1745071068.1795151,20,2,10
1745071068.5976286,20,2,10
1745071077.2764654,20,1,5
1745071077.5072646,20,1,5
1745071736.8018086,20,1,5
1745071737.0920594,20,1,5
1745071738.4702182,20,2,10
1745071738.9058447,20,2,10
1745071748.2899206,20,1,5
1745071748.3478117,20,1,5
1745072267.9202683,20,1,5
1745072268.201614,20,1,5
1745072269.6781714,20,2,10
1745072270.123538,20,2,10
1745072279.0543518,20,1,5
1745072279.2271335,20,1,5
1745072898.7090778,20,1,5
1745072899.0064404,20,1,5
1745072900.3663466,20,2,10
1745072900.803054,20,2,10
1745072909.5023768,20,1,5
1745072909.8586235,20,1,5
1745073672.482159,20,1,5
1745073672.9675875,20,1,5
1745073674.358737,20,2,10
1745073674.7946784,20,2,10
1745073684.5196738,20,1,5
1745073684.5786018,20,1,5
1745074378.4450512,20,1,5
1745074378.9592636,20,1,5
1745074380.304117,20,2,10
1745074380.7361338,20,2,10
1745074389.4573593,20,1,5
1745074389.8664105,20,1,5
1745075125.5224895,20,1,5
1745075125.9514236,20,1,5
1745075127.3177834,20,2,10
1745075127.754022,20,2,10
1745075137.5794368,20,1,5
1745075137.861657,20,1,5
1745075781.4826913,20,1,5
1745075781.9925265,20,1,5
1745075783.4181674,20,2,10
1745075783.9141874,20,2,10
1745075792.8257415,20,1,5
1745075793.0055232,20,1,5
1745076364.2148542,20,1,5
1745076365.6444945,20,1,5
1745076367.0820174,20,2,10
1745076367.580292,20,2,10
1745076377.3111994,20,1,5
1745076377.3714762,20,1,5
1745076940.4734519,20,1,5
1745076940.976642,20,1,5
1745076942.3656704,20,2,10
1745076942.876748,20,2,10
1745076951.743413,20,1,5
1745076951.917885,20,1,5
1745077601.125716,20,1,5
1745077601.4112833,20,1,5
1745077603.0046754,20,2,10
1745077603.4339106,20,2,10
1745077612.36427,20,1,5
1745077612.8056962,20,1,5
1745078340.6794815,20,1,5
1745078340.9648414,20,1,5
1745078342.3308764,20,2,10
1745078342.792109,20,2,10
1745078352.033642,20,1,5
1745078352.2071328,20,1,5
1745079153.730818,20,1,5
1745079153.9927182,20,1,5
1745079155.4143376,20,2,10
1745079155.8808954,20,2,10
1745079165.6480043,20,1,5
1745079165.8674326,20,1,5
1745079700.0412066,20,1,5
1745079700.3024566,20,1,5
1745079702.0381322,20,2,10
1745079702.4756653,20,2,10
1745079711.567692,20,1,5
1745079711.8529303,20,1,5
1745080345.3100388,20,1,5
1745080345.8310108,20,1,5
1745080347.2054093,20,2,10
1745080347.6439974,20,2,10
1745080357.1734679,20,1,5
1745080357.3424828,20,1,5
1745081265.6335359,20,1,5
1745081266.772028,20,1,5
1745081268.232759,20,2,10
1745081268.6967711,20,2,10
1745081278.982702,20,1,5
1745081279.046109,20,1,5
1745081874.525381,20,1,5
1745081874.946879,20,1,5
1745081876.3426409,20,2,10
1745081876.7720814,20,2,10
1745081885.742803,20,1,5
1745081885.9075665,20,1,5
1745082556.3905478,20,1,5
1745082556.9281003,20,1,5
1745082558.2918687,20,2,10
1745082558.6918604,20,2,10
1745082567.9525015,20,1,5
1745082568.154478,20,1,5
</pre><button class='copy_clipboard_button' onclick='copy_to_clipboard_from_id("pre_tab_worker_usage")'> Copy raw data to clipboard</button>
			<button onclick='download_as_file("pre_tab_worker_usage", "worker_usage.csv")'> Download &raquo;worker_usage.csv&laquo; as file</button>
			
			<h1>&nbsp;CPU/RAM-Usage (main)</h1>
			<div class='invert_in_dark_mode' id='mainWorkerCPURAM'></div><button class='copy_clipboard_button' onclick='copy_to_clipboard_from_id("pre_tab_main_worker_cpu_ram")'> Copy raw data to clipboard</button>
			<button onclick='download_as_file("pre_tab_main_worker_cpu_ram", "cpu_ram_usage.csv")'> Download &raquo;cpu_ram_usage.csv&laquo; as file</button>
<pre id="pre_tab_main_worker_cpu_ram">timestamp,ram_usage_mb,cpu_usage_percent
1744998972,638.88671875,47.4
1744998972,638.88671875,51.4
1744998972,638.94921875,47.8
1744998972,638.94921875,46.9
1744998972,638.94921875,48.8
1744998972,638.94921875,47.7
1744998972,638.94921875,52.5
1744999629,692.5078125,50.4
1744999629,692.5078125,49.2
1744999629,692.5078125,48.7
1744999629,692.5078125,49.5
1745007332,868.01953125,32.4
1745007332,868.01953125,6.9
1745007332,868.01953125,6.7
1745007332,868.01953125,5.7
1745014310,896.84375,8.7
1745014310,896.84375,8.1
1745014310,896.84375,8.2
1745014310,896.84375,6.3
1745021438,938.57421875,8.9
1745021438,938.57421875,8.5
1745021438,938.57421875,8.5
1745021438,938.57421875,9.8
1745029422,976.234375,9.1
1745029422,976.234375,9.3
1745029422,976.234375,9.3
1745029422,976.234375,10.5
1745037962,932.546875,9.0
1745037962,932.546875,10.4
1745037962,932.546875,9.3
1745037962,932.546875,15.8
1745046680,981.36328125,8.8
1745046680,981.36328125,8.4
1745046680,981.36328125,8.1
1745046680,981.36328125,7.8
1745057602,1001.359375,8.7
1745057602,1001.359375,9.0
1745057602,1001.359375,8.8
1745057602,1001.359375,11.7
1745069159,1008.6171875,8.8
1745069159,1008.6171875,7.4
1745069159,1008.6171875,7.3
1745069159,1008.6171875,6.2
1745082574,1060.2734375,8.9
1745082574,1060.2734375,7.0
1745082575,1060.2734375,7.3
1745082575,1060.2734375,5.6
</pre><button class='copy_clipboard_button' onclick='copy_to_clipboard_from_id("pre_tab_main_worker_cpu_ram")'> Copy raw data to clipboard</button>
			<button onclick='download_as_file("pre_tab_main_worker_cpu_ram", "cpu_ram_usage.csv")'> Download &raquo;cpu_ram_usage.csv&laquo; as file</button>
			
			<h1>&nbsp;Parallel Plot</h1>
			<div class="invert_in_dark_mode" id="parallel-plot"></div>
			<h1>&nbsp;Scatter-2D</h1>
			<div class='invert_in_dark_mode' id='plotScatter2d'></div>
			<h1>&nbsp;Scatter-3D</h1>
			<div class='invert_in_dark_mode' id='plotScatter3d'></div>
			<h1>&nbsp;Job Status Distribution</h1>
			<div class="invert_in_dark_mode" id="plotJobStatusDistribution"></div>
			<h1>&nbsp;Boxplots</h1>
			<div class="invert_in_dark_mode" id="plotBoxplot"></div>
			<h1>&nbsp;Violin</h1>
			<div class="invert_in_dark_mode" id="plotViolin"></div>
			<h1>&nbsp;Histogram</h1>
			<div class="invert_in_dark_mode" id="plotHistogram"></div>
			<h1>&nbsp;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>&nbsp;Result-Pairs</h1>
			<div class="invert_in_dark_mode" id="plotResultPairs"></div>
			<h1>&nbsp;Evolution</h1>
			<div class="invert_in_dark_mode" id="plotResultEvolution"></div>
			<h1>&nbsp;Exit-Codes</h1>
			<div class="invert_in_dark_mode" id="plotExitCodesPieChart"></div>
	</body>
</html>

Copy raw data to clipboard

Download »export.html« as file