Copy raw data to clipboard
Download »worker_usage.csv« as file
1746192497.1390488,20,0,0
1746192508.1151228,20,0,0
1746193549.63153,20,0,0
1746193550.354428,20,0,0
1746193553.0682056,20,1,5
1746193562.4585402,20,1,5
1746194344.2268054,20,1,5
1746194345.0275087,20,1,5
1746194347.0963242,20,2,10
1746194359.110299,20,2,10
1746195320.522616,20,2,10
1746195321.3620057,20,2,10
1746195323.6161456,20,3,15
1746195339.8996115,20,3,15
1746196229.998464,20,3,15
1746196230.768049,20,3,15
1746196232.7036195,20,4,20
1746196252.6305096,20,4,20
1746197029.6867552,20,4,20
1746197030.3198476,20,4,20
1746197032.4620328,20,5,25
1746197055.2476296,20,5,25
1746198060.2072937,20,5,25
1746198060.852312,20,5,25
1746198062.6546485,20,6,30
1746198089.9679706,20,6,30
1746199168.076319,20,6,30
1746199168.7942212,20,6,30
1746199170.6864681,20,7,35
1746199203.3468235,20,7,35
1746199872.780358,20,7,35
1746199873.5486987,20,7,35
1746199875.5460389,20,8,40
1746199901.27086,20,8,40
1746199914.72336,20,7,35
1746199914.8862956,20,7,35
1746200765.887179,20,7,35
1746200766.5679102,20,7,35
1746200768.652235,20,8,40
1746200804.9713783,20,7,35
1746201621.9068716,20,7,35
1746201622.637881,20,7,35
1746201624.6686075,20,8,40
1746201640.6397543,20,8,40
1746201668.6271534,20,7,35
1746201682.26695,20,6,30
1746201682.4387128,20,6,30
1746202414.820317,20,6,30
1746202415.5231512,20,6,30
1746202417.5721107,20,7,35
1746202449.9304082,20,7,35
1746203143.5294178,20,7,35
1746203144.3737235,20,7,35
1746203146.554151,20,8,40
1746203162.3349671,20,8,40
1746203200.590049,20,7,35
1746203200.7444339,20,7,35
1746203973.0096316,20,7,35
1746203973.554808,20,7,35
1746203975.5945172,20,8,40
1746203991.3568795,20,8,40
1746204020.7508688,20,7,35
1746204029.8318107,20,6,30
1746204029.9663951,20,6,30
1746205034.7518475,20,6,30
1746205035.4427378,20,6,30
1746205037.5121136,20,7,35
1746205053.4433165,20,7,35
1746205088.8990617,20,6,30
1746205089.0278594,20,6,30
1746206101.5621293,20,6,30
1746206102.3799102,20,6,30
1746206105.5194452,20,7,35
1746206121.381112,20,7,35
1746206149.712722,20,6,30
1746206158.7526267,20,5,25
1746206158.887892,20,5,25
1746207303.3881738,20,5,25
1746207304.3919263,20,5,25
1746207306.5030627,20,6,30
1746207322.2939174,20,6,30
1746207351.781846,20,5,25
1746207351.9378788,20,5,25
1746208198.6128252,20,5,25
1746208199.375554,20,5,25
1746208201.9883249,20,6,30
1746208229.2972422,20,6,30
1746209130.5651634,20,6,30
1746209131.3951738,20,6,30
1746209133.579336,20,7,35
1746209149.4814732,20,7,35
1746209184.070721,20,6,30
1746209184.2118928,20,6,30
1746210049.3265986,20,6,30
1746210050.2808948,20,6,30
1746210052.480716,20,7,35
1746210068.3437889,20,7,35
1746210092.3680248,20,6,30
1746210105.724735,20,5,25
1746210105.860187,20,5,25
1746210879.45887,20,5,25
1746210881.3525617,20,5,25
1746210883.529511,20,6,30
1746210899.3920002,20,6,30
1746210923.6165252,20,5,25
1746210933.0901396,20,4,20
1746210933.4069796,20,4,20
1746210956.5971556,20,4,20
1746210980.7860081,20,4,20
1746211006.1457577,20,4,20
1746211032.0665963,20,4,20
1746211056.4120817,20,4,20
1746211082.578948,20,4,20
1746211106.7872126,20,4,20
1746211130.8650784,20,4,20
1746211155.2903132,20,4,20
1746211179.6401222,20,4,20
1746211204.6519685,20,4,20
1746211230.55454,20,4,20
1746211255.4161482,20,4,20
1746211281.6676097,20,4,20
1746211306.4642525,20,4,20
1746211330.162415,20,4,20
1746211354.457018,20,4,20
1746211380.475783,20,4,20
1746211405.717963,20,4,20
1746211431.6389217,20,4,20
1746211456.8316677,20,4,20
1746211481.93099,20,4,20
1746211507.250647,20,4,20
1746211533.175142,20,4,20
1746211558.450031,20,4,20
1746211583.2672791,20,4,20
1746211606.6575184,20,4,20
1746211632.1978757,20,4,20
1746211656.674845,20,4,20
1746211682.0623639,20,4,20
1746211706.1182556,20,4,20
1746211730.8208876,20,4,20
1746211755.6285791,20,4,20
1746211778.761261,20,4,20
1746211802.2347,20,4,20
1746211825.8180287,20,4,20
1746211851.1083393,20,4,20
1746211878.0770435,20,4,20
1746211902.3196192,20,4,20
1746211928.3739607,20,4,20
1746211953.9573946,20,4,20
1746211977.7057552,20,4,20
1746212003.880949,20,4,20
1746212028.4840147,20,4,20
1746212054.465619,20,4,20
1746212078.9789422,20,4,20
1746212105.5619075,20,4,20
1746212129.5233963,20,4,20
1746212155.5136015,20,4,20
1746212180.9327796,20,4,20
1746212207.3175316,20,4,20
1746212232.0425336,20,4,20
1746212256.848915,20,4,20
1746212281.976488,20,4,20
1746212306.7233727,20,4,20
1746212333.4400468,20,4,20
1746212357.2033224,20,4,20
1746212381.747171,20,4,20
1746212407.7403781,20,4,20
1746212432.8929513,20,4,20
1746212456.3911397,20,4,20
1746212480.92456,20,4,20
1746212504.1831632,20,4,20
1746212526.9531677,20,4,20
1746212550.5675018,20,4,20
1746212575.636006,20,4,20
1746212601.3725476,20,4,20
1746212627.5523345,20,4,20
1746212653.2571223,20,4,20
1746212678.5875742,20,4,20
1746212702.3608851,20,3,15
1746212724.1866534,20,3,15
1746212744.8921924,20,3,15
1746212766.1158335,20,3,15
1746212788.154961,20,3,15
1746212811.2297976,20,3,15
1746212832.9703565,20,3,15
1746212854.3374615,20,3,15
1746212873.6528451,20,3,15
1746212895.7123353,20,3,15
1746212917.247972,20,3,15
1746212937.6261783,20,3,15
1746212957.260804,20,3,15
1746212977.151455,20,3,15
1746212996.560935,20,3,15
1746213016.6730905,20,3,15
1746213037.1786826,20,3,15
1746213057.2751634,20,3,15
1746213078.8136654,20,3,15
1746213100.344325,20,3,15
1746213121.3019042,20,3,15
1746213142.762392,20,3,15
1746213163.414369,20,3,15
1746213185.5705147,20,3,15
1746213206.5941448,20,3,15
1746213227.7134604,20,3,15
1746213249.9748716,20,3,15
1746213272.6795864,20,3,15
1746213293.363055,20,3,15
1746213314.453481,20,3,15
1746213336.727108,20,3,15
1746213358.0103402,20,3,15
1746213378.9944918,20,3,15
1746213401.0698307,20,3,15
1746213421.952161,20,3,15
1746213443.4709225,20,3,15
1746213464.238967,20,3,15
1746213484.6387308,20,3,15
1746213507.2572572,20,3,15
1746213528.7638755,20,3,15
1746213550.6784537,20,3,15
1746213572.197463,20,3,15
1746213593.746355,20,3,15
1746213615.0047054,20,3,15
1746213635.9048715,20,3,15
1746213655.7112658,20,3,15
1746213676.3017468,20,3,15
1746213697.6279523,20,3,15
1746213718.1058247,20,3,15
1746213740.4282813,20,3,15
1746213761.570168,20,3,15
1746213783.728522,20,3,15
1746213805.4943392,20,3,15
1746213826.5795672,20,3,15
1746213848.4645905,20,3,15
1746213870.1987033,20,3,15
1746213890.5998082,20,3,15
1746213912.5982893,20,3,15
1746213934.114106,20,3,15
1746213956.0964322,20,3,15
1746213976.5904496,20,3,15
1746213998.9745822,20,3,15
1746214019.7160287,20,3,15
1746214041.487389,20,3,15
1746214061.0496252,20,3,15
1746214083.1859975,20,3,15
1746214104.216021,20,3,15
1746214126.5544422,20,3,15
1746214147.578404,20,3,15
1746214168.9088793,20,3,15
1746214192.383827,20,3,15
1746214213.4272902,20,3,15
1746214234.1422873,20,3,15
1746214254.9038622,20,3,15
1746214275.586043,20,3,15
1746214296.2745707,20,3,15
1746214317.239754,20,3,15
1746214339.7973118,20,3,15
1746214360.3197863,20,3,15
1746214380.4460895,20,3,15
1746214399.1645443,20,3,15
1746214417.2616265,20,3,15
1746214436.3432906,20,3,15
1746214457.477208,20,3,15
1746214478.8830633,20,3,15
1746214501.0539424,20,3,15
1746214522.532268,20,3,15
1746214544.090349,20,3,15
1746214565.2585976,20,3,15
1746214586.408542,20,3,15
1746214608.486666,20,3,15
1746214629.8244016,20,3,15
1746214652.0835679,20,3,15
1746214676.5441592,20,3,15
1746214697.0389953,20,3,15
1746214717.2968404,20,3,15
1746214739.030229,20,3,15
1746214760.9166193,20,3,15
1746214784.530514,20,3,15
1746214804.4712567,20,3,15
1746214826.3752182,20,3,15
1746214848.0494523,20,3,15
1746214869.6930742,20,3,15
1746214891.200274,20,3,15
1746214912.711204,20,3,15
1746214934.4406989,20,3,15
1746214955.7678013,20,3,15
1746214977.468155,20,3,15
1746214999.7995179,20,3,15
1746215021.8920035,20,3,15
1746215041.9376807,20,3,15
1746215062.6901176,20,3,15
1746215084.8640406,20,3,15
1746215107.717574,20,2,10
1746215124.649896,20,2,10
1746215143.5864406,20,2,10
1746215160.8675067,20,2,10
1746215177.939522,20,2,10
1746215197.0588024,20,2,10
1746215214.1230347,20,2,10
1746215230.9835215,20,2,10
1746215249.5655954,20,2,10
1746215266.8541424,20,2,10
1746215283.918029,20,2,10
1746215301.1405034,20,2,10
1746215318.8794105,20,2,10
1746215336.1869357,20,2,10
1746215353.8542228,20,2,10
1746215370.102967,20,2,10
1746215386.657917,20,2,10
1746215404.1550226,20,2,10
1746215420.9464238,20,2,10
1746215437.9397242,20,2,10
1746215454.9551008,20,2,10
1746215472.4301074,20,2,10
1746215490.2903478,20,2,10
1746215508.744408,20,2,10
1746215526.2104092,20,2,10
1746215543.2978008,20,2,10
1746215559.4685276,20,2,10
1746215576.9245706,20,2,10
1746215594.1875613,20,2,10
1746215611.2231548,20,2,10
1746215627.6331947,20,2,10
1746215644.5567093,20,2,10
1746215662.4394994,20,2,10
1746215680.2021441,20,2,10
1746215698.430085,20,2,10
1746215716.3807476,20,1,5
1746215729.966397,20,1,5
1746215743.509008,20,1,5
1746215757.5264788,20,1,5
1746215770.4389637,20,1,5
1746215784.1795776,20,1,5
1746215797.9279518,20,1,5
1746215811.614466,20,1,5
1746215825.197315,20,1,5
1746215839.2645166,20,1,5
1746215852.1260934,20,1,5
1746215866.0515153,20,1,5
1746215879.8561623,20,1,5
1746215893.67542,20,1,5
1746215907.6169024,20,1,5
1746215920.5989351,20,1,5
1746215934.943082,20,1,5
1746215948.9678128,20,1,5
1746215961.8371046,20,1,5
1746215974.5535805,20,1,5
1746215987.9013348,20,1,5
1746216002.236518,20,1,5
1746216015.2503288,20,1,5
1746216029.3543425,20,1,5
1746216043.316433,20,1,5
1746216056.201981,20,1,5
1746216070.029214,20,1,5
1746216084.3702416,20,1,5
1746216098.293894,20,1,5
1746216112.405431,20,1,5
1746216125.3359027,20,1,5
1746216139.0399683,20,1,5
1746216152.6159813,20,1,5
1746216165.159983,20,1,5
1746216179.313862,20,1,5
1746216192.360366,20,1,5
1746216205.1921327,20,1,5
1746216218.475277,20,1,5
1746216231.3381066,20,1,5
1746216245.5606947,20,1,5
1746216258.6851666,20,1,5
1746216272.9181852,20,1,5
1746216286.087244,20,1,5
1746216300.3630142,20,1,5
1746216314.5867357,20,1,5
1746216327.680213,20,1,5
1746216341.9693286,20,1,5
1746216355.0130806,20,1,5
1746216368.3416643,20,1,5
1746216382.5660083,20,1,5
1746216396.605504,20,1,5
1746216409.654234,20,1,5
1746216422.6708355,20,1,5
1746216436.840705,20,1,5
1746216449.810405,20,1,5
1746216464.093285,20,1,5
1746216477.1756732,20,1,5
1746216490.9960396,20,1,5
1746216503.8834176,20,1,5
1746216518.1372736,20,1,5
1746216531.7067099,20,1,5
1746216546.1673288,20,1,5
1746216561.1361272,20,1,5
1746216573.66581,20,1,5
1746216587.6608026,20,1,5
1746216600.8432403,20,1,5
1746216613.9953196,20,1,5
1746216628.6644404,20,1,5
1746216641.8472176,20,1,5
1746216656.0313766,20,1,5
1746216669.1200469,20,1,5
1746216682.2529204,20,1,5
1746216696.7241197,20,1,5
1746216709.9282973,20,1,5
1746216724.4430027,20,1,5
1746216737.8628862,20,1,5
1746216750.9191568,20,1,5
1746216765.309068,20,1,5
1746216778.4053197,20,1,5
1746216790.4320605,20,1,5
1746216802.2095158,20,1,5
1746216814.3300667,20,1,5
1746216825.8980584,20,1,5
1746216837.3797128,20,1,5
1746216850.7430336,20,1,5
1746216863.0345166,20,1,5
1746216875.2030084,20,1,5
1746216888.1805925,20,1,5
1746216901.073534,20,1,5
1746216914.174952,20,1,5
1746216927.2792914,20,1,5
1746216941.43506,20,1,5
1746216954.720706,20,1,5
1746216968.2510777,20,1,5
1746216981.3303204,20,1,5
1746216995.8968656,20,1,5
1746217009.2682426,20,1,5
1746217021.827605,20,1,5
1746217034.6610935,20,1,5
1746217049.6713345,20,1,5
1746217062.9035826,20,1,5
1746217076.2567854,20,1,5
1746217089.7234185,20,1,5
1746217104.442434,20,1,5
1746217118.1710002,20,1,5
1746217131.6214383,20,1,5
1746217145.544548,20,1,5
1746217159.073736,20,1,5
1746217172.4295228,20,1,5
1746217187.1321273,20,1,5
1746217200.5601823,20,1,5
1746217213.857449,20,1,5
1746217227.330013,20,1,5
1746217240.8712022,20,1,5
1746217255.9274035,20,1,5
1746217269.2228587,20,1,5
1746217282.5201316,20,1,5
1746217295.9836445,20,1,5
1746217309.42135,20,1,5
1746217322.878309,20,1,5
1746217336.8859024,20,1,5
1746217349.735407,20,1,5
1746217363.0782206,20,1,5
1746217376.4789762,20,1,5
1746217390.0392902,20,1,5
1746217403.6482916,20,1,5
1746217417.1429996,20,1,5
1746217430.610535,20,1,5
1746217444.543824,20,1,5
1746217459.550692,20,1,5
1746217472.7536275,20,1,5
1746217486.0528567,20,1,5
1746217499.3023462,20,1,5
1746217513.0676231,20,1,5
1746217542.38771,20,0,0
1746218546.6971414,20,0,0
1746218547.326801,20,0,0
1746218550.042383,20,1,5
1746218558.9342983,20,1,5
1746219435.739914,20,1,5
1746219436.3340924,20,1,5
1746219438.363337,20,2,10
1746219449.8436697,20,2,10
1746220392.2135296,20,2,10
1746220392.980629,20,2,10
1746220394.9564881,20,3,15
1746220401.8589766,20,3,15
1746220414.7216706,20,2,10
1746220414.941457,20,2,10
1746221331.6628551,20,2,10
1746221332.3757362,20,2,10
1746221334.5285993,20,3,15
1746221339.3812077,20,3,15
1746221352.6682355,20,2,10
1746221352.7830188,20,2,10
1746222077.1624453,20,2,10
1746222077.7814944,20,2,10
1746222079.6408446,20,3,15
1746222095.3575845,20,3,15
1746222742.092332,20,3,15
1746222742.5527608,20,3,15
1746222744.3293386,20,4,20
1746222763.929217,20,4,20
1746223484.2018318,20,4,20
1746223484.728388,20,4,20
1746223486.4521642,20,5,25
1746223509.0949159,20,5,25
1746224363.9878433,20,5,25
1746224364.6538074,20,5,25
1746224366.6058064,20,6,30
1746224395.3264635,20,6,30
1746225233.689599,20,6,30
1746225234.1161134,20,6,30
1746225235.874105,20,7,35
1746225253.3180377,20,7,35
1746225264.85204,20,6,30
1746225264.968132,20,6,30
1746226427.4879887,20,6,30
1746226428.3365326,20,6,30
1746226430.4770038,20,7,35
1746226446.272656,20,7,35
1746226469.6301448,20,6,30
1746226483.390334,20,5,25
1746226483.5339906,20,5,25
1746227457.562784,20,5,25
1746227458.3107262,20,5,25
1746227460.4853082,20,6,30
1746227476.9877913,20,6,30
1746227487.3407521,20,5,25
1746227487.796647,20,5,25
1746228547.056752,20,5,25
1746228547.6924238,20,5,25
1746228549.433686,20,6,30
1746228567.1335328,20,6,30
1746228581.194658,20,5,25
1746228581.571232,20,4,20
1746229429.347761,20,4,20
1746229430.1946049,20,4,20
1746229432.1679063,20,5,25
1746229448.1876178,20,5,25
1746229463.1679025,20,4,20
1746229471.3521724,20,3,15
1746229481.1339316,20,2,10
1746229481.2870395,20,2,10
1746230694.6274927,20,2,10
1746230695.3761182,20,2,10
1746230697.604758,20,3,15
1746230713.48875,20,3,15
1746230735.2695906,20,2,10
1746230751.622276,20,1,5
1746230751.7675338,20,1,5
1746231620.6343668,20,1,5
1746231621.478677,20,1,5
1746231623.6000018,20,2,10
1746231635.90501,20,2,10
1746232551.7113364,20,2,10
1746232552.328511,20,2,10
1746232554.5308897,20,3,15
1746232570.8570144,20,3,15
1746233622.3264365,20,3,15
1746233623.2551737,20,3,15
1746233625.413376,20,4,20
1746233635.0926042,20,4,20
1746233647.9019074,20,3,15
1746233648.134986,20,3,15
1746234646.3533168,20,3,15
1746234647.3420722,20,3,15
1746234649.568334,20,4,20
1746234670.215296,20,4,20
1746235695.7199633,20,4,20
1746235696.3953278,20,4,20
1746235698.5452566,20,5,25
1746235725.3300307,20,5,25
1746236574.938896,20,5,25
1746236575.485262,20,5,25
1746236577.326023,20,6,30
1746236592.8215125,20,6,30
1746236607.3149457,20,5,25
1746236607.958596,20,5,25
1746236634.1741686,20,5,25
1746236662.456347,20,5,25
1746236692.8028464,20,5,25
1746236723.2283247,20,5,25
1746236753.6092517,20,5,25
1746236782.2903717,20,5,25
1746236808.613671,20,5,25
1746236835.2003903,20,5,25
1746236864.3355522,20,5,25
1746236894.902798,20,5,25
1746236925.0489652,20,5,25
1746236956.327665,20,5,25
1746236986.8960414,20,5,25
1746237014.2498207,20,5,25
1746237036.1715906,20,5,25
1746237046.200152,20,4,20
1746237046.536583,20,4,20
1746237073.0671527,20,4,20
1746237098.1045837,20,4,20
1746237123.5135658,20,4,20
1746237150.8409686,20,4,20
1746237176.6410513,20,4,20
1746237203.411784,20,4,20
1746237229.028827,20,4,20
1746237256.139211,20,4,20
1746237282.5122764,20,4,20
1746237309.6842697,20,4,20
1746237336.9516096,20,4,20
1746237362.7649505,20,4,20
1746237389.9882567,20,4,20
1746237416.0952668,20,4,20
1746237442.9942782,20,4,20
1746237469.5047235,20,4,20
1746237496.3391936,20,4,20
1746237522.6569963,20,4,20
1746237548.6075013,20,4,20
1746237574.6196237,20,4,20
1746237600.8168187,20,4,20
1746237626.8715274,20,4,20
1746237652.7864916,20,4,20
1746237679.5363429,20,4,20
1746237703.9249113,20,4,20
1746237727.7555838,20,4,20
1746237754.5391984,20,4,20
1746237780.9488888,20,4,20
1746237805.062371,20,4,20
1746237829.909541,20,4,20
1746237855.4359262,20,4,20
1746237881.5493646,20,4,20
1746237906.2830453,20,4,20
1746237931.9504366,20,4,20
1746237956.7411652,20,4,20
1746237980.4997745,20,4,20
1746238005.6655314,20,4,20
1746238033.1235938,20,4,20
1746238058.948664,20,4,20
1746238085.0509634,20,4,20
1746238111.6118498,20,4,20
1746238136.2186532,20,4,20
1746238160.9339192,20,4,20
1746238189.3588402,20,4,20
1746238217.0596297,20,4,20
1746238243.1701763,20,4,20
1746238269.8617826,20,4,20
1746238294.8919754,20,4,20
1746238322.2387822,20,3,15
1746238345.7828004,20,3,15
1746238367.4773157,20,3,15
1746238388.9938939,20,3,15
1746238412.1397095,20,3,15
1746238433.393893,20,3,15
1746238454.5652573,20,3,15
1746238476.040725,20,3,15
1746238497.8566542,20,3,15
1746238519.0001633,20,3,15
1746238540.1456823,20,3,15
1746238562.66832,20,3,15
1746238585.1764038,20,3,15
1746238607.2685015,20,3,15
1746238629.5421922,20,3,15
1746238653.1128628,20,3,15
1746238672.6537306,20,3,15
1746238691.1258547,20,3,15
1746238710.0956664,20,3,15
1746238732.6489067,20,3,15
1746238755.083812,20,3,15
1746238777.3050563,20,3,15
1746238799.3890827,20,3,15
1746238821.5393794,20,3,15
1746238844.617218,20,3,15
1746238866.4968998,20,3,15
1746238888.0311267,20,3,15
1746238910.3593986,20,2,10
1746238928.179894,20,2,10
1746238947.3677247,20,2,10
1746238964.8721025,20,2,10
1746238983.17529,20,2,10
1746238999.685918,20,2,10
1746239017.313122,20,2,10
1746239033.7384925,20,2,10
1746239052.4165173,20,2,10
1746239069.2946594,20,2,10
1746239087.6854777,20,2,10
1746239105.2117026,20,2,10
1746239123.7603364,20,2,10
1746239139.960472,20,2,10
1746239156.4411929,20,2,10
1746239175.4823694,20,2,10
1746239191.666623,20,2,10
1746239210.3343914,20,2,10
1746239226.6462128,20,2,10
1746239244.2399933,20,2,10
1746239263.3366835,20,2,10
1746239281.482624,20,2,10
1746239299.1449594,20,2,10
1746239318.7860138,20,2,10
1746239336.2870796,20,2,10
1746239354.0015311,20,2,10
1746239373.3883617,20,2,10
1746239390.8302531,20,2,10
1746239409.7430525,20,2,10
1746239426.7709968,20,2,10
1746239444.8514507,20,2,10
1746239462.2000444,20,2,10
1746239481.045887,20,2,10
1746239499.2558172,20,2,10
1746239517.0045776,20,2,10
1746239533.7918043,20,2,10
1746239551.2756188,20,2,10
1746239569.089922,20,2,10
1746239586.7572412,20,2,10
1746239604.6019447,20,2,10
1746239622.0368721,20,2,10
1746239639.684136,20,2,10
1746239657.5567641,20,2,10
1746239675.8833897,20,2,10
1746239694.0574539,20,2,10
1746239711.751304,20,2,10
1746239728.059489,20,2,10
1746239744.372422,20,2,10
1746239762.5312183,20,2,10
1746239780.040497,20,2,10
1746239798.703414,20,2,10
1746239816.0079339,20,2,10
1746239834.130628,20,2,10
1746239851.6189234,20,2,10
1746239869.5104613,20,2,10
1746239887.8176165,20,2,10
1746239906.0681074,20,2,10
1746239924.4917684,20,2,10
1746239941.9169302,20,2,10
1746239960.0199857,20,2,10
1746239978.0244105,20,2,10
1746239995.046513,20,2,10
1746240009.0846443,20,2,10
1746240023.7083974,20,2,10
1746240040.1769927,20,2,10
1746240056.5441992,20,2,10
1746240074.4958146,20,2,10
1746240092.7216792,20,2,10
1746240111.1815283,20,2,10
1746240128.8010597,20,2,10
1746240146.955371,20,2,10
1746240165.7378778,20,2,10
1746240183.2094257,20,2,10
1746240200.4868193,20,2,10
1746240216.8786066,20,2,10
1746240233.8961377,20,2,10
1746240251.5355031,20,2,10
1746240268.587938,20,2,10
1746240286.298965,20,2,10
1746240303.0868528,20,2,10
1746240320.5837736,20,2,10
1746240339.3156042,20,2,10
1746240357.8243773,20,2,10
1746240375.354039,20,2,10
1746240393.8730822,20,2,10
1746240412.0539987,20,2,10
1746240430.0230443,20,2,10
1746240447.1863265,20,2,10
1746240463.5254984,20,2,10
1746240480.4602675,20,2,10
1746240497.2594068,20,2,10
1746240515.2495217,20,2,10
1746240533.900466,20,2,10
1746240551.0713682,20,2,10
1746240568.7137225,20,2,10
1746240586.350425,20,2,10
1746240603.7160172,20,2,10
1746240621.1064858,20,2,10
1746240638.6231544,20,2,10
1746240657.3901238,20,2,10
1746240675.2415133,20,2,10
1746240692.8353872,20,2,10
1746240710.761672,20,2,10
1746240729.268485,20,2,10
1746240747.2053568,20,2,10
1746240765.1853883,20,2,10
1746240783.5211313,20,2,10
1746240800.75194,20,2,10
1746240817.3502464,20,2,10
1746240834.2510614,20,2,10
1746240852.1482027,20,2,10
1746240870.0861757,20,2,10
1746240887.520328,20,2,10
1746240905.8181736,20,2,10
1746240923.6238844,20,2,10
1746240941.891873,20,2,10
1746240959.9983397,20,2,10
1746240977.5054488,20,2,10
1746240995.6183422,20,2,10
1746241013.595576,20,2,10
1746241031.613361,20,2,10
1746241049.8254297,20,2,10
1746241067.957258,20,2,10
1746241084.3020883,20,2,10
1746241099.644288,20,2,10
1746241116.3683224,20,2,10
1746241133.9193182,20,2,10
1746241151.0644295,20,2,10
1746241167.0886307,20,2,10
1746241184.6889167,20,2,10
1746241202.7393801,20,2,10
1746241220.6157837,20,2,10
1746241237.208166,20,2,10
1746241254.9021108,20,2,10
1746241272.669659,20,2,10
1746241290.358391,20,2,10
1746241306.585792,20,2,10
1746241323.9487693,20,2,10
1746241344.614144,20,2,10
1746241358.0560322,20,1,5
1746241358.3177557,20,1,5
1746241371.5674078,20,1,5
1746241385.7837832,20,1,5
1746241399.5563605,20,1,5
1746241412.5727086,20,1,5
1746241424.8852763,20,1,5
1746241437.9986737,20,1,5
1746241452.8004336,20,1,5
1746241466.0487196,20,1,5
1746241480.0751119,20,1,5
1746241494.4139678,20,1,5
1746241508.1943314,20,1,5
1746241522.0902462,20,1,5
1746241535.4600844,20,1,5
1746241549.016703,20,1,5
1746241563.2129502,20,1,5
1746241577.084857,20,1,5
1746241590.9841862,20,1,5
1746241604.6510434,20,1,5
1746241619.8093529,20,1,5
1746241633.4306064,20,1,5
1746241647.2732944,20,1,5
1746241661.0349555,20,1,5
1746241674.529949,20,1,5
1746241687.412205,20,1,5
1746241700.769623,20,1,5
1746241714.049317,20,1,5
1746241727.5103917,20,1,5
1746241741.8171365,20,1,5
1746241755.6938598,20,1,5
1746241769.5576134,20,1,5
1746241783.459208,20,1,5
1746241797.3999827,20,1,5
1746241811.308233,20,1,5
1746241825.0586638,20,1,5
1746241839.413936,20,1,5
1746241852.5459282,20,1,5
1746241864.983816,20,1,5
1746241877.45484,20,1,5
1746241889.939467,20,1,5
1746241902.3013139,20,1,5
1746241914.584487,20,1,5
1746241927.2208016,20,1,5
1746241947.873576,20,1,5
1746241956.3388546,20,0,0
1746241969.1470318,20,0,0
1746242591.6924284,20,0,0
1746242592.1178231,20,0,0
1746242594.1997347,20,1,5
1746242601.3062387,20,1,5
1746243225.2681518,20,1,5
1746243225.8618398,20,1,5
1746243227.5539744,20,2,10
1746243228.5782511,20,2,10
1746243241.472081,20,1,5
1746243241.5797975,20,1,5
1746244027.141404,20,1,5
1746244027.743926,20,1,5
1746244029.62977,20,2,10
1746244040.7279239,20,2,10
1746244927.7123182,20,2,10
1746244928.311857,20,2,10
1746244930.4432566,20,3,15
1746244945.9079938,20,3,15
1746245649.6822665,20,3,15
1746245650.1980705,20,3,15
1746245652.2116046,20,4,20
1746245673.3778803,20,4,20
1746246396.6181407,20,4,20
1746246397.2388783,20,4,20
1746246399.2637665,20,5,25
1746246420.203687,20,5,25
1746247126.3344624,20,5,25
1746247127.150218,20,5,25
1746247129.1948123,20,6,30
1746247144.2709105,20,6,30
1746247156.1318552,20,5,25
1746247156.2573862,20,5,25
1746247959.9520283,20,5,25
1746247960.30018,20,5,25
1746247962.1005638,20,6,30
1746247979.1281564,20,6,30
1746247991.160529,20,5,25
1746247991.2993631,20,5,25
1746248883.8453653,20,5,25
1746248884.368939,20,5,25
1746248886.340149,20,6,30
1746248913.2569907,20,6,30
1746249900.0781791,20,6,30
1746249900.7437973,20,6,30
1746249902.6245792,20,7,35
1746249939.2554512,20,7,35
1746250896.5812576,20,7,35
1746250897.3418596,20,7,35
1746250899.529375,20,8,40
1746250915.3284519,20,8,40
1746250960.1146615,20,7,35
1746250960.24906,20,7,35
1746252125.3854609,20,7,35
1746252126.357177,20,7,35
1746252128.5321925,20,8,40
1746252144.449484,20,8,40
1746252189.3642693,20,7,35
1746252189.7899396,20,6,30
1746253091.7826314,20,6,30
1746253092.3866818,20,6,30
1746253094.4472566,20,7,35
1746253110.1516616,20,7,35
1746253146.7115834,20,6,30
1746253146.8376231,20,6,30
1746254177.841524,20,6,30
1746254178.4348555,20,6,30
1746254180.4189513,20,7,35
1746254212.8399704,20,7,35
1746255403.4458737,20,7,35
1746255404.40288,20,7,35
1746255406.5991962,20,8,40
1746255422.5923026,20,8,40
1746255453.3604534,20,7,35
1746255467.8361905,20,6,30
1746255468.0021682,20,6,30
1746256464.980096,20,6,30
1746256465.5958235,20,6,30
1746256467.4258533,20,7,35
1746256483.1843593,20,7,35
1746256512.0959015,20,6,30
1746256522.373067,20,5,25
1746256522.4803567,20,5,25
1746257713.392188,20,5,25
1746257714.3309865,20,5,25
1746257716.472391,20,6,30
1746257732.2470553,20,6,30
1746257765.1431282,20,5,25
1746257765.3087323,20,5,25
1746258470.1512563,20,5,25
1746258470.7535243,20,5,25
1746258472.62095,20,6,30
1746258488.3653233,20,6,30
1746258519.8002682,20,5,25
1746258519.947487,20,5,25
1746259391.5802343,20,5,25
1746259392.3255246,20,5,25
1746259394.4925592,20,6,30
1746259410.2704592,20,6,30
1746259443.1636286,20,5,25
1746259443.3188345,20,5,25
1746260387.260955,20,5,25
1746260387.9034274,20,5,25
1746260389.7258778,20,6,30
1746260405.4892344,20,6,30
1746260436.928868,20,5,25
1746260437.1664689,20,5,25
1746260460.6820521,20,5,25
1746260488.8383095,20,5,25
1746260516.8159266,20,5,25
1746260548.538777,20,5,25
1746260577.9209416,20,5,25
1746260607.1727653,20,5,25
1746260636.2462418,20,5,25
1746260666.5569465,20,5,25
1746260698.209907,20,5,25
1746260729.4534552,20,5,25
1746260759.6189904,20,5,25
1746260789.1871085,20,5,25
1746260818.3797944,20,5,25
1746260848.373201,20,5,25
1746260877.985824,20,5,25
1746260907.3459659,20,5,25
1746260936.1084764,20,5,25
1746260964.7261093,20,5,25
1746260994.2044592,20,5,25
1746261023.9667692,20,5,25
1746261053.350406,20,5,25
1746261083.6969066,20,5,25
1746261113.8681018,20,5,25
1746261142.8488626,20,5,25
1746261172.179653,20,5,25
1746261202.4133663,20,5,25
1746261232.8086247,20,5,25
1746261263.5173898,20,5,25
1746261295.2437155,20,5,25
1746261325.438199,20,5,25
1746261355.8272903,20,5,25
1746261386.1022468,20,5,25
1746261415.7357156,20,5,25
1746261444.2806628,20,5,25
1746261469.9171677,20,5,25
1746261497.4236276,20,5,25
1746261525.9166477,20,5,25
1746261555.6037505,20,5,25
1746261585.3459225,20,5,25
1746261614.460671,20,5,25
1746261645.4608657,20,5,25
1746261674.5670981,20,5,25
1746261703.6520326,20,5,25
1746261733.413521,20,5,25
1746261761.8592186,20,5,25
1746261792.2058985,20,5,25
1746261821.5687017,20,5,25
1746261850.4596593,20,5,25
1746261879.3847551,20,5,25
1746261909.4494267,20,5,25
1746261939.262427,20,5,25
1746261967.8089025,20,5,25
1746261995.529687,20,5,25
1746262024.1057856,20,5,25
1746262047.981162,20,5,25
1746262075.1074758,20,5,25
1746262106.5116966,20,5,25
1746262136.840551,20,5,25
1746262167.7111826,20,5,25
1746262197.9969668,20,5,25
1746262227.34302,20,5,25
1746262257.999277,20,5,25
1746262287.5707376,20,5,25
1746262317.4321651,20,5,25
1746262348.4321125,20,5,25
1746262378.408344,20,5,25
1746262409.5617762,20,5,25
1746262440.4228587,20,5,25
1746262466.616961,20,5,25
1746262494.348213,20,5,25
1746262523.69605,20,5,25
1746262555.4637027,20,5,25
1746262584.9347827,20,5,25
1746262613.4537783,20,5,25
1746262641.8365135,20,5,25
1746262669.988021,20,5,25
1746262698.452851,20,5,25
1746262728.3725772,20,5,25
1746262758.5891774,20,5,25
1746262787.8944192,20,5,25
1746262815.3595958,20,5,25
1746262843.612908,20,5,25
1746262864.3899791,20,5,25
1746262892.518838,20,4,20
1746262892.7981048,20,4,20
1746262918.5877702,20,4,20
1746262943.7742567,20,4,20
1746262967.7575788,20,4,20
1746262992.4104545,20,4,20
1746263018.3370225,20,4,20
1746263043.773464,20,4,20
1746263070.4023545,20,4,20
1746263096.0197477,20,4,20
1746263121.8021483,20,4,20
1746263148.5616164,20,4,20
1746263174.5847645,20,4,20
1746263199.865473,20,4,20
1746263223.0621195,20,4,20
1746263247.6503785,20,4,20
1746263272.282034,20,4,20
1746263298.8807106,20,4,20
1746263325.0325115,20,4,20
1746263351.202662,20,4,20
1746263376.4458811,20,4,20
1746263401.3042355,20,4,20
1746263427.2108564,20,4,20
1746263451.9886687,20,4,20
1746263476.9374666,20,4,20
1746263503.167995,20,4,20
1746263528.863039,20,4,20
1746263554.9351728,20,4,20
1746263580.8906934,20,4,20
1746263605.6729617,20,4,20
1746263631.9667447,20,4,20
1746263657.2742157,20,4,20
1746263684.0688362,20,4,20
1746263710.5626686,20,4,20
1746263738.660814,20,4,20
1746263765.7722785,20,4,20
1746263795.2842941,20,4,20
1746263822.2895775,20,4,20
1746263849.2455554,20,4,20
1746263876.1874907,20,4,20
1746263904.7295337,20,4,20
1746263930.2280486,20,4,20
1746263953.366343,20,4,20
1746263976.25767,20,4,20
1746263999.0884557,20,4,20
1746264024.9988084,20,4,20
1746264051.057277,20,4,20
1746264079.5243707,20,4,20
1746264106.811332,20,4,20
1746264133.4994907,20,4,20
1746264162.2068887,20,4,20
1746264190.2439651,20,4,20
1746264218.2742155,20,4,20
1746264245.9563208,20,4,20
1746264274.3453102,20,4,20
1746264301.8557546,20,4,20
1746264329.9132123,20,4,20
1746264356.902356,20,4,20
1746264382.7657695,20,4,20
1746264407.7511246,20,4,20
1746264433.501059,20,4,20
1746264458.986352,20,4,20
1746264484.801676,20,4,20
1746264512.6051388,20,4,20
1746264539.3114724,20,4,20
1746264568.0984385,20,4,20
1746264594.8069518,20,4,20
1746264623.6220524,20,4,20
1746264651.9918413,20,4,20
1746264678.6279685,20,4,20
1746264706.9710464,20,4,20
1746264733.837439,20,4,20
1746264762.0234482,20,4,20
1746264786.3554242,20,4,20
1746264813.6880171,20,4,20
1746264839.972313,20,4,20
1746264867.5928078,20,4,20
1746264893.2204573,20,4,20
1746264920.541617,20,4,20
1746264947.5150077,20,4,20
1746264974.13395,20,4,20
1746265003.4865978,20,4,20
1746265030.070406,20,4,20
1746265056.95406,20,4,20
1746265086.3954597,20,4,20
1746265113.2213802,20,4,20
1746265139.970842,20,4,20
1746265167.9502602,20,4,20
1746265195.5196164,20,4,20
1746265223.5252542,20,4,20
1746265250.7864406,20,4,20
1746265278.1045382,20,3,15
1746265300.1028597,20,3,15
1746265321.5811741,20,3,15
1746265344.018687,20,3,15
1746265365.5848794,20,3,15
1746265388.3554113,20,3,15
1746265411.7587104,20,3,15
1746265434.3165498,20,3,15
1746265457.388243,20,3,15
1746265480.616284,20,3,15
1746265504.2326474,20,3,15
1746265527.3539014,20,3,15
1746265550.4696243,20,3,15
1746265574.261371,20,3,15
1746265597.113421,20,3,15
1746265620.1219273,20,3,15
1746265643.1658688,20,3,15
1746265666.4492464,20,3,15
1746265690.3959286,20,3,15
1746265712.8965883,20,3,15
1746265736.4243612,20,3,15
1746265760.4010746,20,3,15
1746265782.530418,20,3,15
1746265804.5433173,20,3,15
1746265827.4527774,20,3,15
1746265850.0944982,20,3,15
1746265874.7294903,20,2,10
1746265892.3824875,20,2,10
1746265910.2474313,20,2,10
1746265927.798935,20,2,10
1746265946.7416062,20,2,10
1746265964.479315,20,2,10
1746265983.0338507,20,2,10
1746266001.476864,20,2,10
1746266020.686382,20,2,10
1746266038.7445962,20,2,10
1746266058.6672735,20,2,10
1746266077.3663826,20,2,10
1746266095.6983035,20,2,10
1746266115.3422453,20,2,10
1746266133.1635997,20,2,10
1746266149.6465352,20,2,10
1746266167.1575465,20,2,10
1746266183.3969216,20,2,10
1746266200.78972,20,2,10
1746266219.587956,20,2,10
1746266237.5879016,20,2,10
1746266255.8041744,20,2,10
1746266274.3991575,20,2,10
1746266293.2066584,20,2,10
1746266311.9337354,20,2,10
1746266329.0898318,20,2,10
1746266346.852982,20,2,10
1746266364.8729904,20,2,10
1746266383.2375374,20,2,10
1746266403.059204,20,2,10
1746266421.7885995,20,2,10
1746266440.5727124,20,2,10
1746266459.2561257,20,2,10
1746266477.7571704,20,2,10
1746266496.0904098,20,2,10
1746266514.4966912,20,2,10
1746266532.7391663,20,2,10
1746266552.824242,20,2,10
1746266571.6932895,20,2,10
1746266589.1449845,20,2,10
1746266608.98634,20,2,10
1746266628.2383475,20,2,10
1746266645.6202438,20,2,10
1746266664.4340737,20,2,10
1746266683.2913067,20,2,10
1746266702.9760308,20,2,10
1746266722.209246,20,2,10
1746266740.9062245,20,2,10
1746266759.7677855,20,2,10
1746266778.7017734,20,2,10
1746266797.2927573,20,2,10
1746266815.1937318,20,2,10
1746266833.0978003,20,2,10
1746266851.4409702,20,2,10
1746266868.4699903,20,2,10
1746266886.6501586,20,2,10
1746266905.8928547,20,2,10
1746266924.7485244,20,2,10
1746266943.9559941,20,2,10
1746266963.2980416,20,2,10
1746266980.9863791,20,2,10
1746267000.7804406,20,2,10
1746267020.1084847,20,2,10
1746267039.2537086,20,2,10
1746267058.5872114,20,2,10
1746267076.9224765,20,1,5
1746267090.9522374,20,1,5
1746267106.2671,20,1,5
1746267120.129262,20,1,5
1746267133.974191,20,1,5
1746267147.6300411,20,1,5
1746267161.987427,20,1,5
1746267176.2173636,20,1,5
1746267191.1381803,20,1,5
1746267207.2112687,20,1,5
1746267221.4607275,20,1,5
1746267235.775349,20,1,5
1746267250.1718822,20,1,5
1746267264.8732991,20,1,5
1746267279.4072578,20,1,5
1746267293.6536016,20,1,5
1746267307.8605735,20,1,5
1746267322.0085392,20,1,5
1746267335.4339,20,1,5
1746267349.9407198,20,1,5
1746267363.3540072,20,1,5
1746267377.3300521,20,1,5
1746267391.3356683,20,1,5
1746267405.211298,20,1,5
1746267419.0886002,20,1,5
1746267433.579678,20,1,5
1746267447.9836786,20,1,5
1746267462.3612366,20,1,5
1746267476.6703923,20,1,5
1746267490.9570558,20,1,5
1746267505.1532555,20,1,5
1746267519.416011,20,1,5
1746267535.285561,20,1,5
1746267549.5968218,20,1,5
1746267564.0572488,20,1,5
1746267578.7875154,20,1,5
1746267593.2571738,20,1,5
1746267607.1089485,20,1,5
1746267620.956391,20,1,5
1746267634.7305841,20,1,5
1746267649.3602965,20,1,5
1746267663.5058246,20,1,5
1746267693.2078183,20,0,0
1746268610.096208,20,0,0
1746268610.6866086,20,0,0
1746268613.0488243,20,1,5
1746268622.7744617,20,1,5
1746269832.6451333,20,1,5
1746269833.4308045,20,1,5
1746269835.561087,20,2,10
1746269850.3001883,20,2,10
1746270862.8902647,20,2,10
1746270863.5524976,20,2,10
1746270865.504331,20,3,15
1746270870.6689487,20,3,15
1746270885.7559729,20,2,10
1746270885.892926,20,2,10
1746272323.4779985,20,2,10
1746272324.4225998,20,2,10
1746272327.5687063,20,3,15
1746272334.5985696,20,3,15
1746272348.229136,20,2,10
1746272348.4386575,20,2,10
1746273752.9498155,20,2,10
1746273753.7102704,20,2,10
1746273755.7449472,20,3,15
1746273774.9787538,20,3,15
1746274883.9019914,20,3,15
1746274884.6131516,20,3,15
1746274886.5418947,20,4,20
1746274897.491879,20,4,20
1746274912.8726413,20,3,15
1746274912.982875,20,3,15
1746276019.6731598,20,3,15
1746276020.3498504,20,3,15
1746276022.4454563,20,4,20
1746276038.5006518,20,4,20
1746276064.0018482,20,3,15
1746276064.1514533,20,3,15
1746277138.0722399,20,3,15
1746277138.814683,20,3,15
1746277140.7294564,20,4,20
1746277151.6374733,20,4,20
1746277165.6070237,20,3,15
1746277165.8980265,20,3,15
1746278297.9359646,20,3,15
1746278298.6776147,20,3,15
1746278300.7013688,20,4,20
1746278325.0904303,20,4,20
1746279270.7752607,20,4,20
1746279271.3449874,20,4,20
1746279273.4577975,20,5,25
1746279299.2175593,20,5,25
1746280085.9705546,20,5,25
1746280086.6510086,20,5,25
1746280088.549834,20,6,30
1746280104.4665847,20,6,30
1746280126.873796,20,5,25
1746280135.0212183,20,4,20
1746280146.0655587,20,3,15
1746280146.2596,20,3,15
1746281210.4161055,20,3,15
1746281211.4068186,20,3,15
1746281213.5045662,20,4,20
1746281236.1581304,20,4,20
1746282088.800001,20,4,20
1746282089.4316733,20,4,20
1746282091.4308474,20,5,25
1746282116.8714223,20,5,25
1746283140.5734925,20,5,25
1746283141.3580537,20,5,25
1746283143.5027294,20,6,30
1746283159.430942,20,6,30
1746283195.820625,20,5,25
1746283195.9484935,20,5,25
1746284164.6621025,20,5,25
1746284165.428571,20,5,25
1746284167.5199378,20,6,30
1746284187.8832724,20,6,30
1746284202.0644374,20,5,25
1746284202.3161554,20,5,25
1746285146.0906315,20,5,25
1746285146.7980263,20,5,25
1746285148.6939852,20,6,30
1746285164.6425276,20,6,30
1746285201.514061,20,5,25
1746285201.662085,20,5,25
1746286125.39893,20,5,25
1746286126.10328,20,5,25
1746286128.1488497,20,6,30
1746286144.0754657,20,6,30
1746286174.713045,20,5,25
1746286174.8725116,20,5,25
1746287108.1864629,20,5,25
1746287108.9059594,20,5,25
1746287110.8599484,20,6,30
1746287142.8979402,20,6,30
1746287938.5974224,20,6,30
1746287939.4877107,20,6,30
1746287941.6011953,20,7,35
1746287967.0499432,20,7,35
1746287982.573122,20,6,30
1746287982.8695126,20,6,30
1746288898.389225,20,6,30
1746288899.3610518,20,6,30
1746288901.5689766,20,7,35
1746288917.4806945,20,7,35
1746288956.3627303,20,6,30
1746288956.7542825,20,6,30
1746288990.435988,20,6,30
1746289026.3234181,20,6,30
1746289063.0708892,20,6,30
1746289099.9692473,20,6,30
1746289135.7594607,20,6,30
1746289173.871383,20,6,30
1746289211.4093542,20,6,30
1746289249.2372115,20,6,30
1746289285.3970244,20,6,30
1746289322.0903432,20,6,30
1746289358.8100357,20,6,30
1746289397.3362374,20,6,30
1746289433.9853404,20,6,30
1746289470.8365662,20,6,30
1746289507.788436,20,6,30
1746289543.9676273,20,6,30
1746289578.0594623,20,5,25
1746289609.6335528,20,5,25
1746289642.0607247,20,5,25
1746289672.8603895,20,5,25
1746289705.0137486,20,5,25
1746289736.4785993,20,5,25
1746289769.946544,20,5,25
1746289801.7751467,20,5,25
1746289835.7980392,20,5,25
1746289867.7491903,20,5,25
1746289900.0784388,20,5,25
1746289933.810526,20,5,25
1746289967.3723693,20,5,25
1746289999.6416068,20,5,25
1746290032.2234895,20,5,25
1746290064.3845916,20,5,25
1746290096.0757055,20,5,25
1746290128.4629674,20,5,25
1746290161.5923347,20,5,25
1746290194.4725654,20,5,25
1746290227.4814594,20,5,25
1746290259.0338938,20,5,25
1746290289.3539479,20,5,25
1746290321.5038426,20,5,25
1746290354.0863307,20,5,25
1746290386.161501,20,5,25
1746290419.648103,20,5,25
1746290452.0145774,20,5,25
1746290485.4352343,20,5,25
1746290518.4153247,20,5,25
1746290550.797397,20,5,25
1746290583.1979628,20,5,25
1746290615.9824238,20,5,25
1746290647.86445,20,5,25
1746290679.6122353,20,5,25
1746290712.2554867,20,5,25
1746290743.7611415,20,5,25
1746290776.3177805,20,5,25
1746290808.6416292,20,5,25
1746290843.4012764,20,5,25
1746290876.9292028,20,5,25
1746290909.9811203,20,5,25
1746290943.1223974,20,5,25
1746290976.3655784,20,5,25
1746291009.6002555,20,5,25
1746291042.799408,20,5,25
1746291076.2884667,20,5,25
1746291109.0273788,20,5,25
1746291141.9481335,20,5,25
1746291174.278491,20,5,25
1746291204.719063,20,5,25
1746291236.0132434,20,5,25
1746291269.1225355,20,5,25
1746291302.8381546,20,5,25
1746291336.0646715,20,5,25
1746291369.3388686,20,5,25
1746291402.9956996,20,5,25
1746291436.127329,20,5,25
1746291469.6211293,20,5,25
1746291502.1742547,20,5,25
1746291534.8129907,20,5,25
1746291567.46379,20,5,25
1746291599.4379144,20,5,25
1746291631.1854086,20,5,25
1746291662.407989,20,5,25
1746291695.406089,20,5,25
1746291727.5170445,20,5,25
1746291761.533994,20,5,25
1746291794.150393,20,5,25
1746291825.6177962,20,5,25
1746291854.920899,20,5,25
1746291886.0885036,20,5,25
1746291917.5238404,20,5,25
1746291948.5359309,20,5,25
1746291978.0584025,20,4,20
1746292003.7093523,20,4,20
1746292029.4011178,20,4,20
1746292055.6278481,20,4,20
1746292082.29854,20,4,20
1746292109.383142,20,4,20
1746292137.977211,20,4,20
1746292166.5119765,20,4,20
1746292194.3434782,20,4,20
1746292223.454222,20,4,20
1746292251.9579625,20,4,20
1746292279.7415054,20,4,20
1746292307.8541248,20,4,20
1746292336.3203626,20,4,20
1746292365.255438,20,4,20
1746292393.7279668,20,4,20
1746292422.3662906,20,4,20
1746292451.8635743,20,4,20
1746292479.530657,20,4,20
1746292508.422949,20,4,20
1746292537.0034616,20,4,20
1746292564.5164926,20,4,20
1746292585.315905,20,4,20
1746292611.0424075,20,3,15
1746292611.3561075,20,3,15
1746292635.6381752,20,3,15
1746292658.252808,20,3,15
1746292680.2864242,20,3,15
1746292703.2757921,20,3,15
1746292724.9995267,20,3,15
1746292747.757702,20,3,15
1746292772.3173776,20,3,15
1746292796.704569,20,3,15
1746292819.6799285,20,3,15
1746292844.2735317,20,3,15
1746292868.5973883,20,3,15
1746292891.4005558,20,3,15
1746292915.5000582,20,3,15
1746292937.9927573,20,3,15
1746292962.4529135,20,3,15
1746292986.961769,20,3,15
1746293010.0112414,20,3,15
1746293034.589665,20,3,15
1746293057.9113643,20,3,15
1746293082.2384071,20,3,15
1746293105.0422895,20,3,15
1746293129.2665133,20,3,15
1746293152.0259297,20,3,15
1746293177.550302,20,3,15
1746293200.942175,20,3,15
1746293224.1481311,20,3,15
1746293249.2395606,20,3,15
1746293272.378282,20,3,15
1746293295.032083,20,3,15
1746293318.4599838,20,3,15
1746293340.7279177,20,3,15
1746293363.8409948,20,3,15
1746293388.9553456,20,3,15
1746293412.3476975,20,3,15
1746293435.6555264,20,3,15
1746293459.5934443,20,3,15
1746293483.3069108,20,3,15
1746293504.7349105,20,3,15
1746293527.0998871,20,3,15
1746293549.6059825,20,3,15
1746293572.7617385,20,3,15
1746293596.792581,20,3,15
1746293620.3108206,20,3,15
1746293643.8008938,20,3,15
1746293667.4399405,20,3,15
1746293691.3561523,20,3,15
1746293714.8039336,20,3,15
1746293737.9074337,20,3,15
1746293761.557027,20,3,15
1746293784.6266103,20,2,10
1746293803.8887386,20,2,10
1746293821.4702306,20,2,10
1746293841.279855,20,2,10
1746293858.8551753,20,2,10
1746293877.7499886,20,2,10
1746293895.387716,20,2,10
1746293914.8618279,20,2,10
1746293932.6818924,20,2,10
1746293952.4709396,20,2,10
1746293970.164311,20,2,10
1746293989.3793366,20,2,10
1746294007.159763,20,2,10
1746294026.7295604,20,2,10
1746294044.7072113,20,2,10
1746294064.3019493,20,2,10
1746294082.038699,20,2,10
1746294101.396131,20,2,10
1746294119.140054,20,2,10
1746294139.5737944,20,2,10
1746294157.659124,20,2,10
1746294177.3353057,20,2,10
1746294195.019216,20,2,10
1746294213.5160842,20,2,10
1746294230.0132155,20,2,10
1746294248.2712188,20,2,10
1746294264.9794068,20,2,10
1746294281.4430602,20,2,10
1746294301.0075982,20,2,10
1746294318.9473305,20,2,10
1746294338.432713,20,2,10
1746294355.278145,20,2,10
1746294373.0090668,20,2,10
1746294390.0000722,20,2,10
1746294406.7903974,20,2,10
1746294424.755863,20,2,10
1746294442.784232,20,2,10
1746294461.5506868,20,2,10
1746294479.8847103,20,2,10
1746294499.2053132,20,2,10
1746294517.4002616,20,2,10
1746294535.3900113,20,2,10
1746294554.3751903,20,2,10
1746294573.0373156,20,2,10
1746294591.6008878,20,2,10
1746294609.9178708,20,2,10
1746294628.6520824,20,2,10
1746294647.1463926,20,2,10
1746294665.2763317,20,2,10
1746294682.8683789,20,2,10
1746294700.0495596,20,2,10
1746294717.1170828,20,2,10
1746294734.0382922,20,2,10
1746294751.0207605,20,2,10
1746294769.3075118,20,2,10
1746294787.7605617,20,2,10
1746294806.5135288,20,2,10
1746294825.1329484,20,2,10
1746294843.6323726,20,2,10
1746294861.6869564,20,2,10
1746294879.9967978,20,2,10
1746294898.0753112,20,2,10
1746294916.1090074,20,2,10
1746294934.9271665,20,2,10
1746294953.2078123,20,2,10
1746294972.454857,20,2,10
1746294991.635904,20,2,10
1746295009.800985,20,2,10
1746295028.0930004,20,2,10
1746295045.601417,20,2,10
1746295064.786769,20,2,10
1746295083.8251562,20,2,10
1746295101.9648387,20,2,10
1746295120.600013,20,2,10
1746295139.8605213,20,2,10
1746295158.1961048,20,2,10
1746295177.5900524,20,2,10
1746295195.9878058,20,2,10
1746295215.0480368,20,2,10
1746295233.059488,20,2,10
1746295252.062143,20,2,10
1746295270.465948,20,2,10
1746295289.3951643,20,2,10
1746295307.3001585,20,2,10
1746295325.6193607,20,2,10
1746295344.315523,20,2,10
1746295361.65033,20,2,10
1746295379.0068083,20,2,10
1746295397.1428025,20,2,10
1746295414.267818,20,2,10
1746295431.2707195,20,2,10
1746295449.5320253,20,2,10
1746295467.1334379,20,2,10
1746295485.4059305,20,2,10
1746295504.9086761,20,2,10
1746295523.4960935,20,2,10
1746295541.3017828,20,2,10
1746295559.7633154,20,2,10
1746295577.8255165,20,2,10
1746295596.8466702,20,1,5
1746295610.4500113,20,1,5
1746295625.1713622,20,1,5
1746295638.9724884,20,1,5
1746295652.754078,20,1,5
1746295667.7061164,20,1,5
1746295681.5987732,20,1,5
1746295696.2722743,20,1,5
1746295709.7955477,20,1,5
1746295723.378381,20,1,5
1746295738.0532203,20,1,5
1746295751.7036006,20,1,5
1746295766.880263,20,1,5
1746295780.128084,20,1,5
1746295793.3320165,20,1,5
1746295807.282441,20,1,5
1746295820.396237,20,1,5
1746295833.9535275,20,1,5
1746295848.9742925,20,1,5
1746295862.5758088,20,1,5
1746295876.4421463,20,1,5
1746295891.4460514,20,1,5
1746295905.2522867,20,1,5
1746295919.0144446,20,1,5
1746295933.8353295,20,1,5
1746295947.4964943,20,1,5
1746295961.4356587,20,1,5
1746295976.3870187,20,1,5
1746295990.3486657,20,1,5
1746296004.369212,20,1,5
1746296018.3394248,20,1,5
1746296034.1264908,20,1,5
1746296047.9583936,20,1,5
1746296061.7803202,20,1,5
1746296076.756292,20,1,5
1746296090.6574008,20,1,5
1746296104.379282,20,1,5
1746296118.2018707,20,1,5
1746296131.9638891,20,1,5
1746296145.1912782,20,1,5
1746296157.946525,20,1,5
1746296171.0535262,20,1,5
1746296186.5625553,20,1,5
1746296219.0428329,20,0,0
1746297084.0441654,20,0,0
1746297084.507904,20,0,0
1746297086.7056088,20,1,5
1746297095.357771,20,1,5
1746297768.7915983,20,1,5
1746297769.5307856,20,1,5
1746297771.502422,20,2,10
1746297785.1860213,20,2,10
1746298392.6497264,20,2,10
1746298393.2926831,20,2,10
1746298395.5092528,20,3,15
1746298400.7483075,20,3,15
1746298415.6850266,20,2,10
1746298415.8188279,20,2,10
1746299417.5302546,20,2,10
1746299418.3288686,20,2,10
1746299420.4427342,20,3,15
1746299438.106304,20,3,15
1746300359.9469247,20,3,15
1746300360.5529516,20,3,15
1746300363.776815,20,4,20
1746300386.4330826,20,4,20
1746300973.6083908,20,4,20
1746300974.181692,20,4,20
1746300976.1466992,20,5,25
1746300998.4772856,20,5,25
1746301577.5585668,20,5,25
1746301578.2345524,20,5,25
1746301580.20294,20,6,30
1746301608.879508,20,6,30
1746302445.9092498,20,6,30
1746302446.5814636,20,6,30
1746302448.4441457,20,7,35
1746302470.6080534,20,7,35
1746302482.9376183,20,6,30
1746302483.0603888,20,6,30
1746303396.7601047,20,6,30
1746303397.163535,20,6,30
1746303399.1329832,20,7,35
1746303431.4032936,20,7,35
1746304255.3123887,20,7,35
1746304256.084115,20,7,35
1746304258.1958263,20,8,40
1746304295.7786071,20,8,40
1746305068.7077835,20,8,40
1746305069.1723816,20,8,40
1746305071.1671112,20,9,45
1746305087.2201023,20,9,45
1746305118.4002318,20,8,40
1746305125.234865,20,7,35
1746305134.7382207,20,6,30
1746305134.8428621,20,6,30
1746306092.524104,20,6,30
1746306093.2052078,20,6,30
1746306095.108946,20,7,35
1746306110.7284746,20,7,35
1746306142.5698175,20,6,30
1746306142.6910148,20,6,30
1746306754.3337882,20,6,30
1746306754.8766682,20,6,30
1746306756.3683853,20,7,35
1746306772.0562112,20,7,35
1746306804.139207,20,6,30
1746306804.4658144,20,6,30
1746307690.2609084,20,6,30
1746307690.813588,20,6,30
1746307692.5809197,20,7,35
1746307708.2156258,20,7,35
1746307743.0569346,20,6,30
1746307743.1582646,20,6,30
1746308635.4800751,20,6,30
1746308636.4165144,20,6,30
1746308638.6097019,20,7,35
1746308654.654703,20,7,35
1746308683.6414328,20,6,30
1746308692.3349319,20,5,25
1746308703.2199194,20,4,20
1746308703.3996944,20,4,20
1746309667.6802928,20,4,20
1746309668.426465,20,4,20
1746309670.5524366,20,5,25
1746309700.8499207,20,4,20
1746310603.630843,20,4,20
1746310604.3618104,20,4,20
1746310606.4516137,20,5,25
1746310622.3357778,20,5,25
1746310655.9551623,20,4,20
1746310656.1120157,20,4,20
1746311664.9356992,20,4,20
1746311665.5579655,20,4,20
1746311667.4570088,20,5,25
1746311695.347851,20,5,25
1746312561.6686618,20,5,25
1746312562.343477,20,5,25
1746312564.4705298,20,6,30
1746312584.3125875,20,6,30
1746312597.5361152,20,5,25
1746312597.8840566,20,5,25
1746313573.1005466,20,5,25
1746313573.873674,20,5,25
1746313575.8794115,20,6,30
1746313591.7212846,20,6,30
1746313623.861109,20,5,25
1746313623.978153,20,5,25
1746313649.585361,20,5,25
1746313682.8270378,20,5,25
1746313708.4332902,20,5,25
1746313719.4863904,20,4,20
1746313719.8741665,20,4,20
1746313747.9137795,20,4,20
1746313778.258232,20,4,20
1746313805.9999757,20,4,20
1746313835.8517432,20,4,20
1746313864.0429504,20,4,20
1746313892.5480983,20,4,20
1746313923.625119,20,4,20
1746313953.6639156,20,4,20
1746313981.7794585,20,4,20
1746314010.5100963,20,4,20
1746314039.1717103,20,4,20
1746314067.659448,20,4,20
1746314096.3139203,20,4,20
1746314124.6417477,20,4,20
1746314153.018116,20,4,20
1746314181.5692906,20,4,20
1746314210.6875346,20,4,20
1746314239.7115948,20,3,15
1746314264.8354275,20,3,15
1746314288.8324265,20,3,15
1746314312.796819,20,3,15
1746314337.007367,20,3,15
1746314360.7105708,20,3,15
1746314384.1861806,20,3,15
1746314407.9715497,20,3,15
1746314431.9475064,20,3,15
1746314456.2006629,20,3,15
1746314480.7730875,20,3,15
1746314505.149211,20,3,15
1746314529.9661312,20,3,15
1746314552.1721172,20,3,15
1746314574.689594,20,3,15
1746314598.4214911,20,3,15
1746314621.858006,20,3,15
1746314645.9748354,20,3,15
1746314669.0465894,20,3,15
1746314692.948954,20,3,15
1746314716.96722,20,3,15
1746314742.6146061,20,3,15
1746314766.700349,20,3,15
1746314791.5377166,20,3,15
1746314815.717478,20,3,15
1746314840.47332,20,3,15
1746314864.0817106,20,3,15
1746314889.000848,20,3,15
1746314912.7536254,20,3,15
1746314936.3825054,20,3,15
1746314961.0200443,20,3,15
1746314986.5279214,20,3,15
1746315010.6307836,20,3,15
1746315035.2405868,20,3,15
1746315059.5820947,20,3,15
1746315084.0780506,20,3,15
1746315108.6259725,20,3,15
1746315133.3461983,20,3,15
1746315158.1279314,20,3,15
1746315182.7099903,20,3,15
1746315207.338235,20,3,15
1746315231.9077504,20,3,15
1746315255.3857605,20,3,15
1746315279.8422422,20,3,15
1746315304.4600463,20,3,15
1746315329.4575255,20,3,15
1746315354.2671335,20,3,15
1746315378.2980309,20,3,15
1746315403.0032177,20,3,15
1746315426.9933558,20,3,15
1746315450.1285415,20,3,15
1746315471.754319,20,3,15
1746315495.407691,20,3,15
1746315519.7687008,20,3,15
1746315542.554336,20,3,15
1746315566.558439,20,3,15
1746315589.857792,20,3,15
1746315613.7441838,20,3,15
1746315635.4298394,20,3,15
1746315660.912952,20,3,15
1746315684.2640858,20,3,15
1746315708.8752236,20,3,15
1746315732.083669,20,3,15
1746315756.8964489,20,3,15
1746315779.7280068,20,3,15
1746315804.4258406,20,3,15
1746315827.2200358,20,3,15
1746315850.0245512,20,3,15
1746315875.6542494,20,3,15
1746315899.2405245,20,3,15
1746315922.8219755,20,3,15
1746315948.5560193,20,3,15
1746315972.3364666,20,3,15
1746315996.0102937,20,3,15
1746316021.1371164,20,3,15
1746316045.07084,20,3,15
1746316069.2369492,20,3,15
1746316093.01947,20,3,15
1746316116.9160156,20,3,15
1746316142.731301,20,3,15
1746316167.1990645,20,3,15
1746316191.1603158,20,3,15
1746316215.337595,20,3,15
1746316239.4223475,20,3,15
1746316265.5863283,20,3,15
1746316290.0261378,20,3,15
1746316312.763871,20,3,15
1746316335.4879055,20,3,15
1746316359.38655,20,3,15
1746316382.9922068,20,3,15
1746316406.5254655,20,3,15
1746316430.0685215,20,3,15
1746316454.5056562,20,3,15
1746316481.1400702,20,3,15
1746316505.9935546,20,3,15
1746316530.253775,20,3,15
1746316554.5525224,20,3,15
1746316578.956926,20,3,15
1746316603.003581,20,3,15
1746316626.9074836,20,3,15
1746316652.067163,20,3,15
1746316675.9720693,20,3,15
1746316700.4859893,20,3,15
1746316724.7735565,20,3,15
1746316749.3089926,20,3,15
1746316774.3120987,20,3,15
1746316798.9415143,20,3,15
1746316823.292921,20,3,15
1746316848.0903623,20,3,15
1746316872.8968246,20,3,15
1746316895.895912,20,3,15
1746316922.8966932,20,3,15
1746316947.191548,20,3,15
1746316972.032077,20,3,15
1746316996.8271325,20,3,15
1746317020.285063,20,3,15
1746317044.4510832,20,3,15
1746317068.7232208,20,3,15
1746317092.1679378,20,3,15
1746317116.5084429,20,3,15
1746317141.283076,20,3,15
1746317164.8578732,20,3,15
1746317189.4474254,20,3,15
1746317214.144422,20,3,15
1746317238.4121587,20,3,15
1746317263.8394973,20,2,10
1746317283.3443935,20,2,10
1746317302.2544022,20,2,10
1746317320.895716,20,2,10
1746317340.2061203,20,2,10
1746317359.2063093,20,2,10
1746317378.5376003,20,2,10
1746317398.077336,20,2,10
1746317418.3944037,20,2,10
1746317437.5098717,20,2,10
1746317455.0362203,20,2,10
1746317472.0223854,20,2,10
1746317490.212739,20,2,10
1746317508.911996,20,2,10
1746317528.0375102,20,2,10
1746317547.2970638,20,2,10
1746317567.1791792,20,2,10
1746317587.1709478,20,2,10
1746317607.2473476,20,2,10
1746317626.4920905,20,2,10
1746317646.5609875,20,2,10
1746317666.5982418,20,2,10
1746317685.6904597,20,2,10
1746317705.872118,20,2,10
1746317725.8713865,20,2,10
1746317744.8942623,20,2,10
1746317764.913779,20,2,10
1746317785.1650474,20,2,10
1746317804.395117,20,2,10
1746317824.6972132,20,2,10
1746317844.0001469,20,2,10
1746317864.5718246,20,1,5
1746317878.8316517,20,1,5
1746317894.0251157,20,1,5
1746317909.384601,20,1,5
1746317923.855209,20,1,5
1746317939.215255,20,1,5
1746317954.5286849,20,1,5
1746317968.7502377,20,1,5
1746317984.083529,20,1,5
1746317999.5042257,20,1,5
1746318013.7651432,20,1,5
1746318029.2514744,20,1,5
1746318043.943997,20,1,5
1746318059.72762,20,1,5
1746318074.0937269,20,1,5
1746318089.5883808,20,1,5
1746318105.0792522,20,1,5
1746318119.442689,20,1,5
1746318135.3010206,20,1,5
1746318149.820735,20,1,5
1746318165.5006638,20,1,5
1746318179.9356196,20,1,5
1746318195.507021,20,1,5
1746318209.9193118,20,1,5
1746318225.6288967,20,1,5
1746318240.2035916,20,1,5
1746318256.2579563,20,1,5
1746318270.846345,20,1,5
1746318286.3953316,20,1,5
1746318300.526128,20,1,5
1746318316.0992186,20,1,5
1746318330.4254086,20,1,5
1746318346.1931584,20,1,5
1746318360.50772,20,1,5
1746318375.9516525,20,1,5
1746318390.0273044,20,1,5
1746318404.0529125,20,1,5
1746318419.6367283,20,1,5
1746318434.0195367,20,1,5
1746318449.7718732,20,1,5
1746318464.3215916,20,1,5
1746318480.6302643,20,1,5
1746318495.2305512,20,1,5
1746318509.5839434,20,1,5
1746318525.5312712,20,1,5
1746318539.9660895,20,1,5
1746318555.786359,20,1,5
1746318570.5334995,20,1,5
1746318585.0234764,20,1,5
1746318600.233115,20,1,5
1746318613.8113284,20,1,5
1746318627.7404752,20,1,5
1746318642.693897,20,1,5
1746318656.9942338,20,1,5
1746318672.6689956,20,1,5
1746318687.2550266,20,1,5
1746318701.6212108,20,1,5
1746318715.8188226,20,1,5
1746318731.2300515,20,1,5
1746318745.3741548,20,1,5
1746318759.8749435,20,1,5
1746318775.983742,20,1,5
1746318790.2416468,20,1,5
1746318804.4399064,20,1,5
1746318820.0613203,20,1,5
1746318834.4749212,20,1,5
1746318848.8443575,20,1,5
1746318864.7051876,20,1,5
1746318879.0323153,20,1,5
1746318893.5860338,20,1,5
1746318907.9924347,20,1,5
1746318924.1498253,20,1,5
1746318938.8316698,20,1,5
1746318953.496549,20,1,5
1746318968.3038883,20,1,5
1746318984.5964804,20,1,5
1746318999.3071647,20,1,5
1746319013.7382784,20,1,5
1746319028.440858,20,1,5
1746319043.4418852,20,1,5
1746319059.6499324,20,1,5
1746319074.4008787,20,1,5
1746319089.2814944,20,1,5
1746319104.4494023,20,1,5
1746319120.0919945,20,1,5
1746319134.0668755,20,1,5
1746319147.8670733,20,1,5
1746319162.134512,20,1,5
1746319176.3992805,20,1,5
1746319190.7868927,20,1,5
1746319206.402901,20,1,5
1746319220.3225477,20,1,5
1746319234.5424294,20,1,5
1746319248.9658132,20,1,5
1746319263.7420404,20,1,5
1746319278.6453123,20,1,5
1746319295.0585399,20,1,5
1746319310.1124556,20,1,5
1746319324.8292139,20,1,5
1746319339.4947946,20,1,5
1746319354.1394563,20,1,5
1746319368.7595763,20,1,5
1746319383.4795783,20,1,5
1746319400.3085175,20,1,5
1746319415.0081713,20,1,5
1746319429.74325,20,1,5
1746319444.4240053,20,1,5
1746319458.9970918,20,1,5
1746319473.6692898,20,1,5
1746319488.3479981,20,1,5
1746319503.3940384,20,1,5
1746319518.5589547,20,1,5
1746319533.660174,20,1,5
1746319550.2509692,20,1,5
1746319564.9740462,20,1,5
1746319579.719458,20,1,5
1746319594.526834,20,1,5
1746319609.9082005,20,1,5
1746319624.9407916,20,1,5
1746319639.8137364,20,1,5
1746319654.5940216,20,1,5
1746319669.5566597,20,1,5
1746319684.444489,20,1,5
1746319699.233763,20,1,5
1746319713.9793172,20,1,5
1746319730.6010308,20,1,5
1746319745.771838,20,1,5
1746319760.5612776,20,1,5
1746319775.2512233,20,1,5
1746319789.9328244,20,1,5
1746319804.7867785,20,1,5
1746319819.9692926,20,1,5
1746319835.0152283,20,1,5
1746319849.9593337,20,1,5
1746319864.8329651,20,1,5
1746319879.8546932,20,1,5
1746319894.9125438,20,1,5
1746319909.8647192,20,1,5
1746319924.9442902,20,1,5
1746319939.808422,20,1,5
1746319954.7145514,20,1,5
1746319969.8628364,20,1,5
1746319984.8677185,20,1,5
1746319999.9225016,20,1,5
1746320015.048875,20,1,5
1746320030.0519135,20,1,5
1746320045.2182462,20,1,5
1746320059.9517097,20,1,5
1746320074.2703378,20,1,5
1746320088.4707637,20,1,5
1746320102.516932,20,1,5
1746320117.0949976,20,1,5
1746320131.4115574,20,1,5
1746320145.037912,20,1,5
1746320157.9611666,20,1,5
1746320171.1050599,20,1,5
1746320184.196164,20,1,5
1746320197.4465933,20,1,5
1746320211.7531657,20,1,5
1746320226.544693,20,1,5
1746320241.8235605,20,1,5
1746320257.0258138,20,1,5
1746320277.98061,20,1,5
1746320290.7033021,20,0,0
1746320309.2302587,20,0,0
1746321250.79003,20,0,0
1746321251.4397175,20,0,0
1746321253.8270538,20,1,5
1746321263.1751812,20,1,5
1746322084.9956748,20,1,5
1746322085.835289,20,1,5
1746322087.912719,20,2,10
1746322101.9526026,20,2,10
1746322930.9458826,20,2,10
1746322931.642318,20,2,10
1746322933.5700717,20,3,15
1746322942.3944893,20,3,15
1746322959.891841,20,2,10
1746322960.0146115,20,2,10
1746324028.5231898,20,2,10
1746324029.4460306,20,2,10
1746324031.6235452,20,3,15
1746324037.389475,20,3,15
1746324054.6244345,20,2,10
1746324054.805326,20,2,10
1746325274.7746267,20,2,10
1746325275.4355586,20,2,10
1746325277.5509365,20,3,15
1746325285.1770852,20,3,15
1746325299.9548864,20,2,10
1746325300.2000082,20,2,10
1746326572.0985823,20,2,10
1746326572.8672028,20,2,10
1746326574.9217975,20,3,15
1746326580.6757598,20,3,15
1746326597.0964937,20,2,10
1746326597.2264001,20,2,10
1746327801.686193,20,2,10
1746327802.4413745,20,2,10
1746327804.5927503,20,3,15
1746327812.253707,20,3,15
1746327827.392045,20,2,10
1746327827.8316574,20,2,10
1746328782.8349075,20,2,10
1746328783.6562114,20,2,10
1746328785.7022696,20,3,15
1746328801.694622,20,3,15
1746328824.6407075,20,2,10
1746328824.9044802,20,2,10
1746329915.076239,20,2,10
1746329915.8265665,20,2,10
1746329917.8283253,20,3,15
1746329924.4152725,20,3,15
1746329940.2074392,20,2,10
1746329940.3815362,20,2,10
1746331266.392304,20,2,10
1746331267.394344,20,2,10
1746331269.5508368,20,3,15
1746331288.8757968,20,3,15
1746332234.4977524,20,3,15
1746332235.3018942,20,3,15
1746332237.491154,20,4,20
1746332248.2684915,20,4,20
1746332262.9394639,20,3,15
1746332263.0874493,20,3,15
1746333245.245485,20,3,15
1746333245.9767532,20,3,15
1746333247.943151,20,4,20
1746333259.4724846,20,4,20
1746333273.331737,20,3,15
1746333273.4757361,20,3,15
1746334307.031412,20,3,15
1746334307.701867,20,3,15
1746334309.584032,20,4,20
1746334333.0456,20,4,20
1746335364.5944898,20,4,20
1746335365.3315215,20,4,20
1746335367.5002491,20,5,25
1746335383.368092,20,5,25
1746335400.6173878,20,4,20
1746335415.4594839,20,3,15
1746335415.6204226,20,3,15
1746336530.915619,20,3,15
1746336531.6029801,20,3,15
1746336533.5700018,20,4,20
1746336557.8064954,20,4,20
1746337404.937129,20,4,20
1746337405.6622782,20,4,20
1746337407.635612,20,5,25
1746337423.4809835,20,5,25
1746337455.814021,20,4,20
1746337455.9595492,20,4,20
1746338470.5487564,20,4,20
1746338471.547707,20,4,20
1746338473.6663835,20,5,25
1746338503.1050959,20,5,25
1746339420.2724829,20,5,25
1746339420.9743743,20,5,25
1746339454.8961143,20,6,30
1746339482.0552998,20,6,30
1746339493.2014742,20,5,25
1746339493.4679282,20,5,25
1746340407.1280127,20,5,25
1746340407.8103912,20,5,25
1746340409.7435248,20,6,30
1746340443.8893356,20,6,30
1746341328.085516,20,6,30
1746341328.8195865,20,6,30
1746341330.7568166,20,7,35
1746341346.6321564,20,7,35
1746341374.8771005,20,6,30
1746341391.0956848,20,5,25
1746341391.3876743,20,5,25
1746341422.2631788,20,5,25
1746341457.4029682,20,5,25
1746341492.8498297,20,5,25
1746341527.2900722,20,5,25
1746341562.6999094,20,5,25
1746341596.7437246,20,5,25
1746341632.0934467,20,5,25
1746341666.1035035,20,5,25
1746341700.6376793,20,5,25
1746341735.296202,20,5,25
1746341766.666197,20,5,25
1746341797.6136093,20,5,25
1746341832.1185982,20,5,25
1746341866.312646,20,5,25
1746341898.3498023,20,5,25
1746341927.9771407,20,5,25
1746341961.2091427,20,5,25
1746341995.7624807,20,5,25
1746342029.02411,20,5,25
1746342063.7519004,20,5,25
1746342098.2481685,20,5,25
1746342133.6093068,20,5,25
1746342167.887161,20,5,25
1746342202.9420502,20,5,25
1746342237.5244148,20,5,25
1746342274.335651,20,5,25
1746342309.1126487,20,5,25
1746342343.7900407,20,5,25
1746342378.0433245,20,5,25
1746342413.446979,20,5,25
1746342448.1586852,20,5,25
1746342483.5534687,20,5,25
1746342516.7506826,20,5,25
1746342549.9604664,20,5,25
1746342583.3746066,20,5,25
1746342618.4207551,20,5,25
1746342652.5697231,20,5,25
1746342688.0135632,20,5,25
1746342724.6930583,20,5,25
1746342758.7573578,20,5,25
1746342794.2490852,20,5,25
1746342828.584321,20,5,25
1746342865.5640004,20,5,25
1746342899.7566555,20,5,25
1746342933.457863,20,5,25
1746342965.4147198,20,5,25
1746342998.506045,20,5,25
1746343033.4883654,20,5,25
1746343068.6587641,20,5,25
1746343103.3052936,20,5,25
1746343139.7673893,20,5,25
1746343160.5091584,20,5,25
1746343191.279614,20,4,20
1746343191.6346624,20,4,20
1746343220.4956725,20,4,20
1746343251.479997,20,4,20
1746343282.763575,20,4,20
1746343311.7881393,20,4,20
1746343342.754567,20,4,20
1746343373.9472063,20,4,20
1746343403.0051177,20,4,20
1746343434.1782734,20,4,20
1746343463.3124137,20,4,20
1746343494.913582,20,4,20
1746343523.9251719,20,4,20
1746343554.7672894,20,4,20
1746343584.5400658,20,4,20
1746343614.893867,20,4,20
1746343644.1094594,20,4,20
1746343675.0022588,20,4,20
1746343704.2760324,20,4,20
1746343735.4544501,20,4,20
1746343764.9806187,20,3,15
1746343790.2378845,20,3,15
1746343817.1805632,20,3,15
1746343841.1088533,20,3,15
1746343866.2813277,20,3,15
1746343891.2150052,20,3,15
1746343915.4045627,20,3,15
1746343938.9387958,20,3,15
1746343963.2800887,20,3,15
1746343987.3488142,20,3,15
1746344012.0495126,20,3,15
1746344035.9332175,20,3,15
1746344059.5796046,20,3,15
1746344081.9808536,20,3,15
1746344104.7100477,20,3,15
1746344128.4140997,20,3,15
1746344152.1145134,20,3,15
1746344176.1885986,20,3,15
1746344200.4089282,20,3,15
1746344225.3945112,20,3,15
1746344250.1351287,20,3,15
1746344275.0765266,20,3,15
1746344300.5169299,20,3,15
1746344325.7633405,20,3,15
1746344350.6702607,20,3,15
1746344376.0391655,20,3,15
1746344401.032758,20,3,15
1746344425.9477005,20,3,15
1746344450.9383214,20,3,15
1746344472.570987,20,3,15
1746344495.5073607,20,3,15
1746344520.214214,20,3,15
1746344544.4666579,20,3,15
1746344569.3013384,20,3,15
1746344594.213037,20,3,15
1746344618.0748136,20,3,15
1746344644.039178,20,3,15
1746344668.7623072,20,3,15
1746344693.2217438,20,3,15
1746344718.973963,20,3,15
1746344744.5468802,20,3,15
1746344770.388459,20,3,15
1746344794.9902866,20,3,15
1746344819.7532556,20,3,15
1746344842.8645377,20,3,15
1746344865.717679,20,3,15
1746344889.684181,20,3,15
1746344913.7699301,20,3,15
1746344937.9563553,20,3,15
1746344963.2687418,20,2,10
1746344982.296718,20,2,10
1746345003.4308426,20,2,10
1746345023.4253078,20,2,10
1746345043.4902697,20,2,10
1746345063.4822626,20,2,10
1746345085.014438,20,2,10
1746345104.8508108,20,2,10
1746345124.4803169,20,2,10
1746345144.762245,20,2,10
1746345165.7223868,20,2,10
1746345186.2771275,20,2,10
1746345206.4417095,20,2,10
1746345227.5105734,20,2,10
1746345247.3503635,20,2,10
1746345267.0621789,20,2,10
1746345286.6460035,20,2,10
1746345306.8555136,20,2,10
1746345326.706417,20,2,10
1746345346.8784153,20,2,10
1746345367.2084098,20,2,10
1746345388.076938,20,2,10
1746345408.6053047,20,2,10
1746345428.9943378,20,2,10
1746345449.4830575,20,2,10
1746345469.6899028,20,2,10
1746345489.7818263,20,2,10
1746345510.1079237,20,2,10
1746345530.4496753,20,2,10
1746345550.625332,20,2,10
1746345571.0775998,20,2,10
1746345591.242744,20,2,10
1746345611.6784115,20,2,10
1746345631.8026953,20,2,10
1746345651.800514,20,2,10
1746345671.8502576,20,2,10
1746345690.2732117,20,2,10
1746345710.2505045,20,2,10
1746345730.7867408,20,2,10
1746345750.8469594,20,2,10
1746345770.970741,20,2,10
1746345791.1868958,20,2,10
1746345810.1811728,20,2,10
1746345830.9247437,20,2,10
1746345851.567091,20,2,10
1746345872.106901,20,2,10
1746345892.8688247,20,2,10
1746345912.1062727,20,2,10
1746345932.5487714,20,2,10
1746345953.4658115,20,2,10
1746345973.8897188,20,2,10
1746345992.60926,20,2,10
1746346013.2671742,20,2,10
1746346034.2035236,20,2,10
1746346054.8954747,20,2,10
1746346073.5740657,20,2,10
1746346094.0044854,20,2,10
1746346114.3893712,20,2,10
1746346133.5087948,20,2,10
1746346154.3409026,20,2,10
1746346175.3728676,20,1,5
1746346190.3994217,20,1,5
1746346205.3360677,20,1,5
1746346220.4402754,20,1,5
1746346235.4133565,20,1,5
1746346250.4984527,20,1,5
1746346265.7059002,20,1,5
1746346280.8661005,20,1,5
1746346296.1936655,20,1,5
1746346310.6246781,20,1,5
1746346325.07036,20,1,5
1746346341.0625546,20,1,5
1746346355.0661561,20,1,5
1746346368.8672576,20,1,5
1746346382.8066454,20,1,5
1746346396.95152,20,1,5
1746346411.837975,20,1,5
1746346426.7440765,20,1,5
1746346441.5483282,20,1,5
1746346456.5360126,20,1,5
1746346471.4707415,20,1,5
1746346486.213886,20,1,5
1746346501.06383,20,1,5
1746346516.2073026,20,1,5
1746346531.7052746,20,1,5
1746346547.8084683,20,1,5
1746346563.496198,20,1,5
1746346579.0642476,20,1,5
1746346594.329293,20,1,5
1746346609.8457832,20,1,5
1746346625.4474752,20,1,5
1746346641.1171732,20,1,5
1746346658.410369,20,1,5
1746346673.9300451,20,1,5
1746346689.388097,20,1,5
1746346704.526724,20,1,5
1746346719.6067321,20,1,5
1746346734.7918441,20,1,5
1746346749.837193,20,1,5
1746346765.5108464,20,1,5
1746346781.1238663,20,1,5
1746346796.5830746,20,1,5
1746346811.9030857,20,1,5
1746346827.1371167,20,1,5
1746346842.409201,20,1,5
1746346857.483023,20,1,5
1746346872.6014142,20,1,5
1746346887.8184118,20,1,5
1746346902.8199735,20,1,5
1746346917.6176007,20,1,5
1746346932.3561695,20,1,5
1746346947.5725276,20,1,5
1746346962.8690536,20,1,5
1746346978.632735,20,1,5
1746346994.078676,20,1,5
1746347009.665666,20,1,5
1746347025.0551584,20,1,5
1746347040.560878,20,1,5
1746347055.8578832,20,1,5
1746347071.2465189,20,1,5
1746347086.717769,20,1,5
1746347101.995743,20,1,5
1746347117.4989393,20,1,5
1746347132.6070528,20,1,5
1746347147.6919446,20,1,5
1746347162.7775276,20,1,5
1746347176.7339978,20,1,5
1746347190.959413,20,1,5
1746347205.3199534,20,1,5
1746347219.5985165,20,1,5
1746347234.350893,20,1,5
1746347249.268367,20,1,5
1746347264.8264215,20,1,5
1746347279.5621705,20,1,5
1746347294.5119653,20,1,5
1746347310.2885535,20,1,5
1746347325.353033,20,1,5
1746347339.7894697,20,1,5
1746347355.2534595,20,1,5
1746347369.7795315,20,1,5
1746347384.292715,20,1,5
1746347399.1777456,20,1,5
1746347413.1212769,20,1,5
1746347426.650431,20,1,5
1746347441.0308063,20,1,5
1746347455.7529724,20,1,5
1746347471.4654524,20,1,5
1746347486.3657076,20,1,5
1746347501.3284597,20,1,5
1746347516.8848662,20,1,5
1746347531.9490206,20,1,5
1746347547.905626,20,1,5
1746347562.8142529,20,1,5
1746347577.8432941,20,1,5
1746347592.684132,20,1,5
1746347607.7515154,20,1,5
1746347623.0296028,20,1,5
1746347638.468321,20,1,5
1746347654.2243302,20,1,5
1746347669.301805,20,1,5
1746347684.259008,20,1,5
1746347700.313074,20,1,5
1746347715.4527545,20,1,5
1746347730.9965422,20,1,5
1746347745.2510655,20,1,5
1746347760.8457625,20,1,5
1746347774.851557,20,1,5
1746347789.5876005,20,1,5
1746347804.379034,20,1,5
1746347819.3862145,20,1,5
1746347834.521399,20,1,5
1746347849.7123187,20,1,5
1746347865.3181393,20,1,5
1746347880.6698303,20,1,5
1746347896.0352483,20,1,5
1746347911.3140314,20,1,5
1746347926.871303,20,1,5
1746347942.3768506,20,1,5
1746347957.7786558,20,1,5
1746347972.9514983,20,1,5
1746347988.4278297,20,1,5
1746348003.9482117,20,1,5
1746348018.1905193,20,1,5
1746348033.4012268,20,1,5
1746348048.6028655,20,1,5
1746348063.7425508,20,1,5
1746348079.4178016,20,1,5
1746348093.950191,20,1,5
1746348109.3807573,20,1,5
1746348124.9762695,20,1,5
1746348140.4121633,20,1,5
1746348156.0386796,20,1,5
1746348170.5064683,20,1,5
1746348186.075766,20,1,5
1746348201.5804012,20,1,5
1746348216.1008835,20,1,5
1746348231.6760669,20,1,5
1746348247.2309582,20,1,5
1746348262.822671,20,1,5
1746348277.299504,20,1,5
1746348293.0392594,20,1,5
1746348308.6819313,20,1,5
1746348323.1185417,20,1,5
1746348338.786906,20,1,5
1746348354.4756546,20,1,5
1746348369.015501,20,1,5
1746348384.841899,20,1,5
1746348400.581118,20,1,5
1746348414.3616073,20,1,5
1746348429.0798337,20,1,5
1746348442.8088439,20,1,5
1746348457.4238796,20,1,5
1746348472.8284557,20,1,5
1746348486.8736527,20,1,5
1746348502.288036,20,1,5
1746348516.52846,20,1,5
1746348531.6821702,20,1,5
1746348546.4785373,20,1,5
1746348560.2545805,20,1,5
1746348575.3420389,20,1,5
1746348608.4831457,20,0,0
1746349812.907339,20,0,0
1746349813.5798082,20,0,0
1746349816.4371364,20,1,5
1746349826.187871,20,1,5
1746350741.837044,20,1,5
1746350742.659073,20,1,5
1746350744.7434726,20,2,10
1746350760.0959458,20,2,10
1746351861.833844,20,2,10
1746351862.592262,20,2,10
1746351864.6813943,20,3,15
1746351884.5626752,20,3,15
1746353012.0022082,20,3,15
1746353012.7796307,20,3,15
1746353014.818738,20,4,20
1746353038.9230824,20,4,20
1746354146.1905923,20,4,20
1746354146.9406722,20,4,20
1746354148.8694327,20,5,25
1746354177.9816098,20,5,25
1746355289.4678018,20,5,25
1746355290.4112275,20,5,25
1746355292.549472,20,6,30
1746355328.5759933,20,6,30
1746356279.389129,20,6,30
1746356280.3875935,20,6,30
1746356283.095032,20,7,35
1746356310.8473473,20,7,35
1746356327.5842466,20,6,30
1746356327.758237,20,6,30
1746357402.540542,20,6,30
1746357403.181132,20,6,30
1746357405.168735,20,7,35
1746357421.1729872,20,7,35
1746357450.8667505,20,6,30
1746357468.1934977,20,5,25
1746357468.3284068,20,5,25
1746358904.779104,20,5,25
1746358905.5254793,20,5,25
1746358907.5894945,20,6,30
1746358923.5044441,20,6,30
1746358964.821081,20,5,25
1746358964.9784045,20,5,25
1746359967.7591581,20,5,25
1746359968.5224357,20,5,25
1746359970.5220287,20,6,30
1746359986.4471674,20,6,30
1746360026.834834,20,5,25
1746360027.0046787,20,5,25
1746360995.7573717,20,5,25
1746360996.4360082,20,5,25
1746360998.5397897,20,6,30
1746361014.410174,20,6,30
1746361053.1568358,20,5,25
1746361053.3073564,20,5,25
1746362170.1645365,20,5,25
1746362170.8948321,20,5,25
1746362172.8255713,20,6,30
1746362188.75872,20,6,30
1746362229.2944522,20,5,25
1746362229.4469433,20,5,25
1746363540.530071,20,5,25
1746363541.1624134,20,5,25
1746363543.119211,20,6,30
1746363576.8185306,20,6,30
1746364410.444009,20,6,30
1746364411.1844542,20,6,30
1746364413.16284,20,7,35
1746364450.9888463,20,7,35
1746365342.6501427,20,7,35
1746365343.123611,20,7,35
1746365345.0513754,20,8,40
1746365360.7402253,20,8,40
1746365406.8324285,20,7,35
1746365406.9545226,20,7,35
1746366180.7226636,20,7,35
1746366181.1843793,20,7,35
1746366183.2265084,20,8,40
1746366199.062075,20,8,40
1746366243.9478154,20,7,35
1746366244.1009617,20,7,35
1746367143.4423223,20,7,35
1746367144.2373617,20,7,35
1746367146.6741188,20,8,40
1746367187.4692342,20,8,40
1746367839.1565642,20,8,40
1746367839.6414402,20,8,40
1746367841.4214013,20,9,45
1746367857.1380198,20,9,45
1746367892.6792364,20,8,40
1746367906.4151034,20,7,35
1746367906.4901316,20,7,35
1746368879.5913103,20,7,35
1746368880.1884089,20,7,35
1746368882.1556988,20,8,40
1746368898.0354388,20,8,40
1746368939.4602916,20,7,35
1746368939.557021,20,7,35
1746369945.476144,20,7,35
1746369946.2014992,20,7,35
1746369948.1662273,20,8,40
1746369964.0769928,20,8,40
1746370007.6474571,20,7,35
1746370007.9264884,20,7,35
1746370046.176174,20,7,35
1746370086.9844556,20,7,35
1746370127.8379216,20,7,35
1746370169.6186466,20,7,35
1746370213.6883843,20,7,35
1746370256.0761428,20,7,35
1746370298.7903697,20,7,35
1746370342.5739365,20,7,35
1746370384.0386944,20,7,35
1746370423.3774757,20,7,35
1746370464.074131,20,7,35
1746370504.6077797,20,7,35
1746370545.8038473,20,7,35
1746370589.561212,20,7,35
1746370632.7408993,20,7,35
1746370675.762762,20,7,35
1746370718.5135322,20,7,35
1746370761.6068718,20,7,35
1746370805.073733,20,7,35
1746370846.9535022,20,7,35
1746370895.290195,20,7,35
1746370942.3644972,20,7,35
1746370989.4819028,20,7,35
1746371037.163486,20,7,35
1746371084.0210679,20,7,35
1746371130.8564022,20,7,35
1746371178.785952,20,7,35
1746371225.4437313,20,6,30
1746371267.884327,20,6,30
1746371310.0830734,20,6,30
1746371352.4581356,20,6,30
1746371394.5815272,20,6,30
1746371436.8338335,20,6,30
1746371478.69699,20,6,30
1746371521.2993605,20,6,30
1746371562.446106,20,6,30
1746371605.5495727,20,6,30
1746371646.4940355,20,6,30
1746371687.394528,20,6,30
1746371727.880142,20,6,30
1746371769.8175595,20,6,30
1746371812.1885808,20,6,30
1746371833.0369866,20,6,30
1746371873.4177477,20,5,25
1746371873.7722163,20,5,25
1746371909.5060074,20,5,25
1746371947.1081614,20,5,25
1746371985.1020076,20,5,25
1746372020.3532171,20,5,25
1746372056.551907,20,5,25
1746372089.2080865,20,5,25
1746372124.5646138,20,5,25
1746372159.455616,20,5,25
1746372195.3638885,20,5,25
1746372231.8092382,20,5,25
1746372268.145997,20,5,25
1746372306.9449358,20,5,25
1746372343.5072596,20,5,25
1746372380.1108701,20,5,25
1746372417.123991,20,5,25
1746372452.8943312,20,5,25
1746372489.3669214,20,5,25
1746372526.4939377,20,5,25
1746372564.0546927,20,5,25
1746372600.9656844,20,5,25
1746372636.4777083,20,5,25
1746372673.9445603,20,5,25
1746372711.9100726,20,5,25
1746372749.7145872,20,5,25
1746372786.7110062,20,5,25
1746372824.804171,20,5,25
1746372860.4585478,20,5,25
1746372898.1750255,20,5,25
1746372935.0442998,20,5,25
1746372973.4197915,20,5,25
1746373009.730878,20,5,25
1746373047.9058166,20,4,20
1746373077.1321762,20,4,20
1746373109.885399,20,4,20
1746373142.6921628,20,4,20
1746373175.0111532,20,4,20
1746373205.6571643,20,4,20
1746373237.872746,20,4,20
1746373270.1600082,20,4,20
1746373301.4438932,20,4,20
1746373334.1434977,20,4,20
1746373361.9775772,20,4,20
1746373393.078043,20,4,20
1746373425.9045792,20,4,20
1746373456.2811155,20,4,20
1746373488.5308633,20,4,20
1746373522.593424,20,4,20
1746373553.681711,20,4,20
1746373584.8689816,20,4,20
1746373614.634235,20,4,20
1746373644.1405654,20,3,15
1746373667.4412944,20,3,15
1746373690.1022766,20,3,15
1746373713.4630258,20,3,15
1746373738.6689298,20,3,15
1746373764.0739431,20,3,15
1746373789.6087477,20,3,15
1746373816.3796766,20,3,15
1746373844.4662676,20,3,15
1746373870.6211393,20,3,15
1746373896.3700402,20,3,15
1746373922.4721062,20,3,15
1746373948.301498,20,3,15
1746373975.2853708,20,3,15
1746374002.4975562,20,3,15
1746374028.6987834,20,3,15
1746374055.198302,20,3,15
1746374081.8708115,20,3,15
1746374108.9712594,20,3,15
1746374134.929254,20,3,15
1746374161.5693572,20,3,15
1746374187.4749513,20,3,15
1746374214.501934,20,3,15
1746374241.7481523,20,3,15
1746374268.3565645,20,3,15
1746374293.9290621,20,3,15
1746374319.0919416,20,3,15
1746374344.9364707,20,3,15
1746374370.2996664,20,3,15
1746374397.044354,20,3,15
1746374424.1544557,20,3,15
1746374450.6693785,20,3,15
1746374477.0451603,20,3,15
1746374503.6759338,20,3,15
1746374529.8778014,20,3,15
1746374556.3116288,20,3,15
1746374582.3690796,20,3,15
1746374608.1482728,20,3,15
1746374633.7103024,20,3,15
1746374660.7091162,20,3,15
1746374688.3341167,20,3,15
1746374714.389213,20,3,15
1746374740.8512638,20,3,15
1746374765.5797553,20,3,15
1746374789.955123,20,3,15
1746374811.9513152,20,3,15
1746374834.3023832,20,3,15
1746374856.58395,20,3,15
1746374882.4159296,20,3,15
1746374906.4305952,20,3,15
1746374930.1756206,20,3,15
1746374955.0668924,20,3,15
1746374979.7707617,20,3,15
1746375007.0796857,20,3,15
1746375033.6065822,20,3,15
1746375059.6776807,20,3,15
1746375086.5781703,20,3,15
1746375114.2613049,20,3,15
1746375141.0125866,20,3,15
1746375167.4772756,20,3,15
1746375194.285322,20,3,15
1746375220.9014747,20,3,15
1746375247.7020571,20,3,15
1746375274.37808,20,3,15
1746375301.2660956,20,3,15
1746375328.1428475,20,3,15
1746375356.2454877,20,3,15
1746375381.5608146,20,3,15
1746375402.9407027,20,3,15
1746375427.3047094,20,3,15
1746375453.1737702,20,2,10
1746375473.908824,20,2,10
1746375494.8450923,20,2,10
1746375515.408548,20,2,10
1746375536.313788,20,2,10
1746375557.9460177,20,2,10
1746375579.6237266,20,2,10
1746375601.2247016,20,2,10
1746375622.6035352,20,2,10
1746375643.9504738,20,2,10
1746375665.4980075,20,2,10
1746375687.092823,20,2,10
1746375708.6571863,20,2,10
1746375731.0122423,20,2,10
1746375752.4987707,20,2,10
1746375774.1631293,20,2,10
1746375796.036687,20,2,10
1746375816.6679313,20,2,10
1746375838.3019233,20,2,10
1746375859.629881,20,2,10
1746375880.976575,20,2,10
1746375902.6540372,20,2,10
1746375923.8365607,20,2,10
1746375944.5278625,20,2,10
1746375964.2834785,20,2,10
1746375985.1930435,20,2,10
1746376007.0927377,20,2,10
1746376029.1244273,20,2,10
1746376050.2363932,20,2,10
1746376071.8193069,20,2,10
1746376093.5694876,20,2,10
1746376115.205919,20,2,10
1746376136.8208709,20,2,10
1746376156.6399012,20,2,10
1746376178.2187028,20,2,10
1746376200.9728768,20,2,10
1746376221.4191287,20,2,10
1746376243.4286196,20,2,10
1746376265.4150064,20,2,10
1746376287.6854882,20,2,10
1746376307.7175734,20,2,10
1746376329.5775266,20,2,10
1746376351.0421712,20,2,10
1746376370.929247,20,2,10
1746376392.2184389,20,2,10
1746376413.2950711,20,2,10
1746376433.0321584,20,2,10
1746376454.3923936,20,2,10
1746376476.5355787,20,2,10
1746376497.048028,20,2,10
1746376519.9355106,20,2,10
1746376541.7232685,20,2,10
1746376560.331778,20,2,10
1746376580.5477953,20,2,10
1746376599.013371,20,2,10
1746376620.28272,20,2,10
1746376641.825509,20,1,5
1746376657.6668253,20,1,5
1746376673.041934,20,1,5
1746376688.61634,20,1,5
1746376704.1559508,20,1,5
1746376719.1903129,20,1,5
1746376735.3953195,20,1,5
1746376751.661779,20,1,5
1746376767.4367702,20,1,5
1746376783.066456,20,1,5
1746376798.6635695,20,1,5
1746376814.2119694,20,1,5
1746376829.4205105,20,1,5
1746376844.9278224,20,1,5
1746376860.9747553,20,1,5
1746376877.0123959,20,1,5
1746376893.631202,20,1,5
1746376909.945993,20,1,5
1746376926.210113,20,1,5
1746376942.5441797,20,1,5
1746376958.972383,20,1,5
1746376975.7649505,20,1,5
1746376992.038826,20,1,5
1746377008.1988149,20,1,5
1746377024.2296872,20,1,5
1746377040.4919586,20,1,5
1746377056.5624893,20,1,5
1746377072.609603,20,1,5
1746377088.6663992,20,1,5
1746377105.028353,20,1,5
1746377121.8712025,20,1,5
1746377138.4155788,20,1,5
1746377154.7869203,20,1,5
1746377171.2522686,20,1,5
1746377187.3279026,20,1,5
1746377203.6918187,20,1,5
1746377218.175346,20,1,5
1746377234.117847,20,1,5
1746377268.2698443,20,0,0
1746378434.2510505,20,0,0
1746378434.852232,20,0,0
1746378437.3760395,20,1,5
1746378447.9106205,20,1,5
1746379618.9997578,20,1,5
1746379619.76986,20,1,5
1746379621.8001947,20,2,10
1746379639.402197,20,2,10
1746381119.4156556,20,2,10
1746381120.440814,20,2,10
1746381123.4673495,20,3,15
1746381144.9416893,20,3,15
1746382605.279344,20,3,15
1746382606.0595226,20,3,15
1746382608.4489393,20,4,20
1746382621.5789714,20,4,20
1746382639.728711,20,3,15
1746382639.8925061,20,3,15
1746384080.7889833,20,3,15
1746384081.523683,20,3,15
1746384083.6604912,20,4,20
1746384096.9389503,20,4,20
1746384114.0956106,20,3,15
1746384114.3520265,20,3,15
1746385342.9829652,20,3,15
1746385343.68507,20,3,15
1746385345.7395258,20,4,20
1746385370.7408364,20,4,20
1746386559.498427,20,4,20
1746386560.4317684,20,4,20
1746386562.6551805,20,5,25
1746386578.7948887,20,5,25
1746386604.8294208,20,4,20
1746386617.6096087,20,3,15
1746386617.8043845,20,3,15
1746388333.9524302,20,3,15
1746388334.6917543,20,3,15
1746388336.6784322,20,4,20
1746388352.6752856,20,4,20
1746388383.1358798,20,3,15
1746388383.3574345,20,3,15
1746390142.8984725,20,3,15
1746390143.6671145,20,3,15
1746390145.6658247,20,4,20
1746390157.2061431,20,4,20
1746390174.5384588,20,3,15
1746390174.7128446,20,3,15
1746391663.4015374,20,3,15
1746391664.3509948,20,3,15
1746391666.6512244,20,4,20
1746391682.5446968,20,4,20
1746391698.5880501,20,3,15
1746391715.2675307,20,2,10
1746391715.4165127,20,2,10
1746393289.7421572,20,2,10
1746393290.4870584,20,2,10
1746393292.6347656,20,3,15
1746393308.6048853,20,3,15
1746393324.5154405,20,2,10
1746393336.255288,20,1,5
1746393336.5088346,20,1,5
1746394733.7338228,20,1,5
1746394734.497277,20,1,5
1746394736.596522,20,2,10
1746394752.3088088,20,2,10
1746395834.8249195,20,2,10
1746395835.555874,20,2,10
1746395837.6432605,20,3,15
1746395844.614774,20,3,15
1746395862.6457162,20,2,10
1746395862.79641,20,2,10
1746397062.4381936,20,2,10
1746397063.392838,20,2,10
1746397065.58928,20,3,15
1746397086.4886892,20,3,15
1746398051.5120497,20,3,15
1746398052.5113096,20,3,15
1746398054.6787999,20,4,20
1746398067.9209175,20,4,20
1746398085.1714928,20,3,15
1746398085.4164946,20,3,15
1746399404.9776628,20,3,15
1746399405.686151,20,3,15
1746399407.6905518,20,4,20
1746399423.6247745,20,4,20
1746399453.6342256,20,3,15
1746399453.8529315,20,3,15
1746400664.9934516,20,3,15
1746400665.7411203,20,3,15
1746400667.696756,20,4,20
1746400692.0661843,20,4,20
1746401928.5057921,20,4,20
1746401929.4720073,20,4,20
1746401931.6636553,20,5,25
1746401948.582479,20,5,25
1746401966.3010917,20,4,20
1746401966.786329,20,4,20
1746403341.5749996,20,4,20
1746403342.4328969,20,4,20
1746403344.6075463,20,5,25
1746403360.5337858,20,5,25
1746403386.3912704,20,4,20
1746403398.2823155,20,3,15
1746403398.4394283,20,3,15
1746405195.4158933,20,3,15
1746405196.4042435,20,3,15
1746405198.6534252,20,4,20
1746405225.4187155,20,4,20
1746405253.6067367,20,4,20
1746405284.6957266,20,4,20
1746405314.9772801,20,4,20
1746405346.0716078,20,4,20
1746405378.4586565,20,3,15
1746405404.0419612,20,3,15
1746405430.9152997,20,3,15
1746405456.6392646,20,3,15
1746405483.797448,20,3,15
1746405509.1304107,20,3,15
1746405535.8341148,20,3,15
1746405560.1029048,20,3,15
1746405585.6751916,20,3,15
1746405610.098578,20,3,15
1746405635.4880953,20,3,15
1746405660.7349834,20,3,15
1746405687.1410804,20,3,15
1746405712.9099112,20,3,15
1746405739.0738416,20,3,15
1746405765.1688552,20,3,15
1746405791.2857938,20,3,15
1746405817.3453212,20,3,15
1746405843.7314332,20,3,15
1746405871.1613684,20,3,15
1746405897.4801128,20,3,15
1746405923.468181,20,3,15
1746405949.7065413,20,3,15
1746405974.3244545,20,3,15
1746405999.8835108,20,3,15
1746406025.974223,20,3,15
1746406052.235389,20,3,15
1746406078.9380066,20,3,15
1746406105.308762,20,3,15
1746406131.814955,20,3,15
1746406158.7359202,20,3,15
1746406184.825978,20,3,15
1746406211.65163,20,3,15
1746406238.3005228,20,3,15
1746406265.1496654,20,3,15
1746406290.191665,20,3,15
1746406317.1216686,20,3,15
1746406344.2614403,20,3,15
1746406369.1317997,20,3,15
1746406395.310847,20,3,15
1746406420.657793,20,3,15
1746406446.9994276,20,3,15
1746406472.7905033,20,3,15
1746406497.211121,20,3,15
1746406522.975683,20,3,15
1746406545.6228187,20,3,15
1746406570.2010007,20,3,15
1746406593.092863,20,3,15
1746406616.4859862,20,3,15
1746406642.2180176,20,3,15
1746406666.0709338,20,3,15
1746406691.6222417,20,3,15
1746406714.8128898,20,3,15
1746406737.5555189,20,3,15
1746406762.2947376,20,3,15
1746406786.536267,20,3,15
1746406811.3414261,20,3,15
1746406837.6583302,20,3,15
1746406863.4171705,20,3,15
1746406888.348043,20,3,15
1746406915.320985,20,3,15
1746406940.3507397,20,3,15
1746406965.3136137,20,3,15
1746406990.0853822,20,3,15
1746407016.9514182,20,3,15
1746407042.1964626,20,3,15
1746407067.5945878,20,3,15
1746407093.3591373,20,3,15
1746407118.190995,20,3,15
1746407143.26958,20,2,10
1746407163.6310863,20,2,10
1746407184.192959,20,2,10
1746407203.0276835,20,2,10
1746407223.6756299,20,2,10
1746407244.7586246,20,2,10
1746407264.1660657,20,2,10
1746407284.402537,20,2,10
1746407303.10856,20,2,10
1746407322.956995,20,2,10
1746407342.3646088,20,2,10
1746407364.0365171,20,2,10
1746407385.7995124,20,2,10
1746407405.337083,20,2,10
1746407426.426695,20,2,10
1746407446.3444324,20,2,10
1746407467.5148346,20,2,10
1746407486.6521847,20,2,10
1746407507.867121,20,2,10
1746407527.6889997,20,2,10
1746407549.437578,20,2,10
1746407569.0430436,20,2,10
1746407590.0236247,20,2,10
1746407609.1951838,20,2,10
1746407629.7417,20,2,10
1746407648.8912785,20,2,10
1746407670.405344,20,2,10
1746407689.8881307,20,2,10
1746407710.720778,20,2,10
1746407730.984472,20,2,10
1746407749.1635811,20,2,10
1746407770.0415034,20,2,10
1746407790.4916427,20,2,10
1746407809.936749,20,2,10
1746407830.1965222,20,2,10
1746407850.892376,20,2,10
1746407870.7910953,20,2,10
1746407890.9618776,20,2,10
1746407910.678721,20,2,10
1746407931.5205755,20,2,10
1746407949.7343187,20,2,10
1746407967.6204863,20,2,10
1746407985.683039,20,2,10
1746408004.7378013,20,2,10
1746408023.7595005,20,2,10
1746408042.0755422,20,2,10
1746408060.6744988,20,2,10
1746408081.207123,20,2,10
1746408100.6266224,20,2,10
1746408120.8902404,20,2,10
1746408142.0262911,20,2,10
1746408162.1407888,20,2,10
1746408182.1246307,20,2,10
1746408201.8268275,20,2,10
1746408222.2526882,20,2,10
1746408242.0127432,20,2,10
1746408261.863822,20,2,10
1746408282.2039504,20,2,10
1746408303.0130136,20,2,10
1746408323.5801678,20,2,10
1746408343.9765646,20,2,10
1746408364.0751224,20,2,10
1746408383.9920568,20,2,10
1746408403.3683662,20,2,10
1746408421.9416819,20,2,10
1746408441.0625732,20,2,10
1746408460.429184,20,2,10
1746408480.7458358,20,2,10
1746408501.2478292,20,2,10
1746408522.007204,20,2,10
1746408542.5823987,20,2,10
1746408562.3370664,20,2,10
1746408580.711704,20,2,10
1746408599.355559,20,2,10
1746408619.3023663,20,2,10
1746408638.150248,20,2,10
1746408659.1100893,20,2,10
1746408680.1185346,20,2,10
1746408699.7743506,20,2,10
1746408720.1795595,20,2,10
1746408740.543149,20,2,10
1746408760.430957,20,2,10
1746408781.2905588,20,2,10
1746408801.0145345,20,2,10
1746408821.3792493,20,2,10
1746408841.9432557,20,2,10
1746408861.7153141,20,2,10
1746408882.1501186,20,2,10
1746408903.0659573,20,2,10
1746408922.6283438,20,2,10
1746408942.98097,20,2,10
1746408961.9725714,20,2,10
1746408981.922951,20,2,10
1746409000.8526278,20,2,10
1746409021.9992979,20,2,10
1746409042.2810357,20,2,10
1746409062.6334846,20,2,10
1746409083.0944374,20,2,10
1746409102.2823217,20,2,10
1746409121.0998204,20,2,10
1746409140.9374952,20,2,10
1746409160.372971,20,2,10
1746409180.1038456,20,2,10
1746409199.497369,20,2,10
1746409218.476607,20,2,10
1746409239.4903727,20,2,10
1746409259.0493038,20,2,10
1746409278.6872356,20,2,10
1746409298.6244624,20,2,10
1746409319.3595595,20,2,10
1746409340.6722224,20,2,10
1746409360.967892,20,2,10
1746409381.022934,20,2,10
1746409401.5750124,20,2,10
1746409422.180445,20,2,10
1746409442.6327884,20,2,10
1746409462.8343263,20,2,10
1746409482.4441304,20,2,10
1746409501.7632508,20,2,10
1746409521.6188104,20,2,10
1746409542.367884,20,2,10
1746409563.511479,20,2,10
1746409581.2219422,20,1,5
1746409581.5306647,20,1,5
1746409597.844691,20,1,5
1746409612.9543095,20,1,5
1746409628.4240112,20,1,5
1746409645.022461,20,1,5
1746409660.2177413,20,1,5
1746409675.0992203,20,1,5
1746409691.1794775,20,1,5
1746409705.794296,20,1,5
1746409720.4193141,20,1,5
1746409736.275469,20,1,5
1746409751.0426776,20,1,5
1746409766.1947637,20,1,5
1746409780.9688387,20,1,5
1746409797.4524982,20,1,5
1746409812.600775,20,1,5
1746409827.7742677,20,1,5
1746409844.9835308,20,1,5
1746409859.9116304,20,1,5
1746409874.6948571,20,1,5
1746409889.293008,20,1,5
1746409905.3184726,20,1,5
1746409919.6534674,20,1,5
1746409934.264888,20,1,5
1746409949.239146,20,1,5
1746409966.2414942,20,1,5
1746409981.4141593,20,1,5
1746409996.5754437,20,1,5
1746410011.7000089,20,1,5
1746410026.5865629,20,1,5
1746410043.2492983,20,1,5
1746410058.080814,20,1,5
1746410073.3023632,20,1,5
1746410088.6378791,20,1,5
1746410103.964398,20,1,5
1746410119.2298439,20,1,5
1746410135.640617,20,1,5
1746410150.4762483,20,1,5
1746410165.5984733,20,1,5
1746410180.7413208,20,1,5
1746410195.960316,20,1,5
1746410212.4853697,20,1,5
1746410227.3252387,20,1,5
1746410242.4006786,20,1,5
1746410257.4183228,20,1,5
1746410272.50776,20,1,5
1746410287.579109,20,1,5
1746410304.632467,20,1,5
1746410319.1637979,20,1,5
1746410333.2681837,20,1,5
1746410347.4089444,20,1,5
1746410361.397107,20,1,5
1746410375.714685,20,1,5
1746410390.4495883,20,1,5
1746410404.9525673,20,1,5
1746410421.0093307,20,1,5
1746410435.924273,20,1,5
1746410450.873226,20,1,5
1746410466.0796537,20,1,5
1746410480.962005,20,1,5
1746410495.6063,20,1,5
1746410510.0309784,20,1,5
1746410524.7957442,20,1,5
1746410540.1456046,20,1,5
1746410556.852528,20,1,5
1746410572.1406305,20,1,5
1746410587.0525665,20,1,5
1746410602.2100186,20,1,5
1746410617.560392,20,1,5
1746410632.8889089,20,1,5
1746410648.3097513,20,1,5
1746410663.6850622,20,1,5
1746410678.9275658,20,1,5
1746410694.0141072,20,1,5
1746410709.2363174,20,1,5
1746410724.815007,20,1,5
1746410742.228913,20,1,5
1746410758.1970723,20,1,5
1746410773.5091121,20,1,5
1746410788.6571207,20,1,5
1746410802.6797037,20,1,5
1746410816.6351442,20,1,5
1746410831.5498607,20,1,5
1746410846.9019907,20,1,5
1746410862.445844,20,1,5
1746410877.775196,20,1,5
1746410893.1441493,20,1,5
1746410908.6408937,20,1,5
1746410924.1563976,20,1,5
1746410939.6449199,20,1,5
1746410955.1305127,20,1,5
1746410970.8973463,20,1,5
1746410986.3802314,20,1,5
1746411001.690951,20,1,5
1746411017.0376873,20,1,5
1746411032.2762506,20,1,5
1746411047.7359524,20,1,5
1746411062.559019,20,1,5
1746411077.1362205,20,1,5
1746411091.5983655,20,1,5
1746411106.4387677,20,1,5
1746411122.0093353,20,1,5
1746411137.329191,20,1,5
1746411152.275719,20,1,5
1746411167.5108862,20,1,5
1746411183.2891583,20,1,5
1746411198.648936,20,1,5
1746411214.1418202,20,1,5
1746411228.1424973,20,1,5
1746411243.3296638,20,1,5
1746411256.9723616,20,1,5
1746411271.0021708,20,1,5
1746411284.8810835,20,1,5
1746411298.8601062,20,1,5
1746411313.5654306,20,1,5
1746411328.3567493,20,1,5
1746411343.1488674,20,1,5
1746411358.3082726,20,1,5
1746411373.534039,20,1,5
1746411388.4625843,20,1,5
1746411403.749761,20,1,5
1746411418.2634013,20,1,5
1746411432.673308,20,1,5
1746411447.215463,20,1,5
1746411460.4241705,20,1,5
1746411474.9027727,20,1,5
1746411489.3908927,20,1,5
1746411503.1906004,20,1,5
1746411517.7542667,20,1,5
1746411533.1580982,20,1,5
1746411547.9957948,20,1,5
1746411563.2213047,20,1,5
1746411578.5480697,20,1,5
1746411594.791801,20,1,5
1746411610.3213902,20,1,5
1746411625.6536078,20,1,5
1746411640.656714,20,1,5
1746411655.723261,20,1,5
1746411671.459696,20,1,5
1746411686.9543626,20,1,5
1746411702.1728294,20,1,5
1746411717.2951427,20,1,5
1746411732.5098379,20,1,5
1746411748.328674,20,1,5
1746411763.3827364,20,1,5
1746411778.1544907,20,1,5
1746411793.0229943,20,1,5
1746411808.483047,20,1,5
1746411824.2395794,20,1,5
1746411839.355874,20,1,5
1746411853.765242,20,1,5
1746411868.0401876,20,1,5
1746411882.9503865,20,1,5
1746411897.679773,20,1,5
1746411913.5430899,20,1,5
1746411929.0205026,20,1,5
1746411944.200556,20,1,5
1746411959.538933,20,1,5
1746411975.085407,20,1,5
1746411989.5518737,20,1,5
1746412005.465902,20,1,5
1746412020.511755,20,1,5
1746412035.1743078,20,1,5
1746412049.873776,20,1,5
1746412065.0275788,20,1,5
1746412080.1709504,20,1,5
1746412095.2944617,20,1,5
1746412110.5931256,20,1,5
1746412125.9244194,20,1,5
1746412141.6312819,20,1,5
1746412156.8705902,20,1,5
1746412171.9881577,20,1,5
1746412186.7130551,20,1,5
1746412201.9346905,20,1,5
1746412217.3623638,20,1,5
1746412232.0143623,20,1,5
1746412244.5861402,20,1,5
1746412257.5131154,20,1,5
1746412270.4487603,20,1,5
1746412283.7271132,20,1,5
1746412298.291221,20,1,5
1746412313.7314646,20,1,5
1746412328.237525,20,1,5
1746412343.7940156,20,1,5
1746412359.0691988,20,1,5
1746412374.0237968,20,1,5
1746412388.9360144,20,1,5
1746412403.5758028,20,1,5
1746412419.0123568,20,1,5
1746412433.2988248,20,1,5
1746412446.7619877,20,1,5
1746412461.0344138,20,1,5
1746412474.7176878,20,1,5
1746412488.9463215,20,1,5
1746412503.0306995,20,1,5
1746412518.0616233,20,1,5
1746412533.6085238,20,1,5
1746412548.1156626,20,1,5
1746412581.6277142,20,0,0
1746413344.6379538,20,0,0
1746413345.2515802,20,0,0
1746413348.4039323,20,1,5
1746413359.2213218,20,1,5
1746414152.7509758,20,1,5
1746414153.4891615,20,1,5
1746414155.6433682,20,2,10
1746414171.915563,20,2,10
1746415127.0157237,20,2,10
1746415127.6988037,20,2,10
1746415129.7002492,20,3,15
1746415150.481571,20,3,15
1746416190.8555684,20,3,15
1746416191.606598,20,3,15
1746416193.5986555,20,4,20
1746416204.7755291,20,4,20
1746416222.4622893,20,3,15
1746416222.6651943,20,3,15
1746417413.6216164,20,3,15
1746417414.4150643,20,3,15
1746417416.595602,20,4,20
1746417443.7876673,20,4,20
1746418519.5072393,20,4,20
1746418520.3944328,20,4,20
1746418522.5794053,20,5,25
1746418553.7581007,20,5,25
1746419845.5256214,20,5,25
1746419846.4282088,20,5,25
1746419848.5467508,20,6,30
1746419885.8865774,20,6,30
1746420908.9677255,20,6,30
1746420909.7093885,20,6,30
1746420911.624151,20,7,35
1746420927.533899,20,7,35
1746420970.8551977,20,6,30
1746420971.013326,20,6,30
1746422335.9851367,20,6,30
1746422336.6581361,20,6,30
1746422338.5546086,20,7,35
1746422354.3919625,20,7,35
1746422396.9928157,20,6,30
1746422397.1635616,20,6,30
1746423924.499468,20,6,30
1746423925.416201,20,6,30
1746423927.6578434,20,7,35
1746423943.4866269,20,7,35
1746423980.1589787,20,6,30
1746423992.9678726,20,5,25
1746423993.130364,20,5,25
1746425357.2931097,20,5,25
1746425358.0642068,20,5,25
1746425360.3827302,20,6,30
1746425376.2605245,20,6,30
1746425416.0721707,20,5,25
1746425416.2389836,20,5,25
1746426720.2274346,20,5,25
1746426720.9645991,20,5,25
1746426723.4289076,20,6,30
1746426739.2557337,20,6,30
1746426770.4022787,20,5,25
1746426781.7289915,20,4,20
1746426781.9332006,20,4,20
1746428235.283582,20,4,20
1746428236.0532334,20,4,20
1746428237.9561148,20,5,25
1746428253.8097289,20,5,25
1746428277.9974594,20,4,20
1746428304.4056528,20,3,15
1746428304.5449684,20,3,15
1746429658.179056,20,3,15
1746429658.9023116,20,3,15
1746429660.7471528,20,4,20
1746429676.6289809,20,4,20
1746429707.0886252,20,3,15
1746429707.2438788,20,3,15
1746431223.3965623,20,3,15
1746431224.4076188,20,3,15
1746431226.4411337,20,4,20
1746431251.5414886,20,4,20
1746432684.7870324,20,4,20
1746432685.2341692,20,4,20
1746432687.1873293,20,5,25
1746432703.098846,20,5,25
1746432723.4863467,20,4,20
1746432739.280385,20,3,15
1746432739.4017625,20,3,15
1746433834.079432,20,3,15
1746433834.3884985,20,3,15
1746433836.0073726,20,4,20
1746433858.2512436,20,4,20
1746434934.4530654,20,4,20
1746434935.2206144,20,4,20
1746434937.183517,20,5,25
1746434965.8309007,20,5,25
1746435944.4470253,20,5,25
1746435945.2257657,20,5,25
1746435947.1314118,20,6,30
1746435963.2505367,20,6,30
1746435985.8853662,20,5,25
1746436001.1202915,20,4,20
1746436001.219752,20,4,20
1746436776.4137528,20,4,20
1746436777.145281,20,4,20
1746436778.776616,20,5,25
1746436807.2856784,20,5,25
1746436837.0313194,20,5,25
1746436869.9652424,20,5,25
1746436902.9491348,20,5,25
1746436935.2430763,20,4,20
1746436963.149039,20,4,20
1746436992.4895945,20,4,20
1746437020.5625234,20,4,20
1746437048.4020834,20,4,20
1746437075.4440525,20,4,20
1746437103.7388694,20,4,20
1746437132.3283515,20,4,20
1746437160.760846,20,4,20
1746437188.9239228,20,4,20
1746437216.9287584,20,4,20
1746437244.7026205,20,4,20
1746437272.514621,20,4,20
1746437298.1162941,20,4,20
1746437325.0539286,20,4,20
1746437353.4419768,20,4,20
1746437381.9371443,20,4,20
1746437408.3431935,20,4,20
1746437436.121817,20,4,20
1746437464.732065,20,4,20
1746437491.0249622,20,4,20
1746437516.2535238,20,4,20
1746437542.9029799,20,4,20
1746437570.1126733,20,4,20
1746437595.6589878,20,4,20
1746437623.4614284,20,4,20
1746437651.8539894,20,4,20
1746437678.96607,20,4,20
1746437706.2242372,20,4,20
1746437731.7840018,20,4,20
1746437758.6374738,20,4,20
1746437784.9119163,20,4,20
1746437813.3349168,20,4,20
1746437842.0627725,20,4,20
1746437870.1149662,20,4,20
1746437897.5481071,20,4,20
1746437924.339949,20,4,20
1746437951.6862795,20,4,20
1746437979.1036437,20,4,20
1746438006.4328947,20,4,20
1746438033.252967,20,4,20
1746438061.517314,20,4,20
1746438089.5753088,20,4,20
1746438116.5435712,20,4,20
1746438144.2567902,20,4,20
1746438171.4522767,20,4,20
1746438198.503525,20,4,20
1746438222.4998758,20,4,20
1746438247.2713816,20,4,20
1746438273.7914615,20,4,20
1746438301.2534351,20,4,20
1746438328.0328937,20,4,20
1746438355.2255895,20,4,20
1746438381.8894048,20,4,20
1746438407.2087982,20,4,20
1746438433.3559902,20,4,20
1746438461.2912989,20,4,20
1746438489.417079,20,4,20
1746438517.3532712,20,4,20
1746438545.6826546,20,4,20
1746438573.1341095,20,4,20
1746438601.5085163,20,4,20
1746438629.092702,20,4,20
1746438656.2662923,20,4,20
1746438683.8410943,20,4,20
1746438711.6538336,20,4,20
1746438738.4872615,20,4,20
1746438766.1866574,20,4,20
1746438793.7420678,20,4,20
1746438821.8740673,20,4,20
1746438849.056585,20,4,20
1746438876.3022146,20,4,20
1746438903.9085627,20,4,20
1746438931.201229,20,4,20
1746438959.2027838,20,4,20
1746438988.5990112,20,4,20
1746439016.2814147,20,4,20
1746439045.3906083,20,4,20
1746439073.9662352,20,4,20
1746439101.8402627,20,4,20
1746439127.889004,20,4,20
1746439155.2805595,20,4,20
1746439184.2958262,20,4,20
1746439212.2697883,20,4,20
1746439240.8611526,20,4,20
1746439268.9488616,20,4,20
1746439297.9651513,20,4,20
1746439326.076435,20,4,20
1746439355.4094827,20,4,20
1746439383.9469166,20,4,20
1746439412.6527445,20,4,20
1746439442.5320435,20,4,20
1746439470.5323682,20,4,20
1746439498.9116628,20,4,20
1746439527.3215322,20,4,20
1746439557.0320263,20,4,20
1746439583.4237149,20,4,20
1746439609.8246825,20,4,20
1746439637.163097,20,4,20
1746439664.5634167,20,4,20
1746439691.4531837,20,4,20
1746439718.2876663,20,4,20
1746439746.680366,20,4,20
1746439773.6123238,20,4,20
1746439801.3035204,20,4,20
1746439830.2145412,20,4,20
1746439860.4018073,20,4,20
1746439891.8149412,20,4,20
1746439923.4280093,20,4,20
1746439954.985932,20,4,20
1746439986.7300167,20,4,20
1746440018.1075428,20,4,20
1746440049.5700266,20,4,20
1746440081.7943804,20,4,20
1746440111.988842,20,4,20
1746440143.8425086,20,4,20
1746440175.70407,20,4,20
1746440207.5102038,20,4,20
1746440237.883774,20,4,20
1746440269.8165221,20,4,20
1746440302.395568,20,4,20
1746440332.4607167,20,4,20
1746440364.7443593,20,4,20
1746440396.506816,20,3,15
1746440422.0293312,20,3,15
1746440447.343351,20,3,15
1746440473.2230961,20,3,15
1746440498.9608784,20,3,15
1746440525.1561508,20,3,15
1746440551.280519,20,3,15
1746440577.5730596,20,3,15
1746440604.5165477,20,3,15
1746440630.5824354,20,3,15
1746440656.911668,20,3,15
1746440684.5408566,20,3,15
1746440710.1982627,20,3,15
1746440736.4917495,20,3,15
1746440764.7815316,20,3,15
1746440791.0745254,20,3,15
1746440816.1292815,20,3,15
1746440841.057229,20,3,15
1746440866.6402864,20,3,15
1746440892.6743157,20,3,15
1746440918.001,20,3,15
1746440943.2011914,20,3,15
1746440968.108438,20,3,15
1746440992.8482728,20,3,15
1746441016.347384,20,3,15
1746441041.2700543,20,3,15
1746441066.9006197,20,3,15
1746441091.7989488,20,3,15
1746441118.1772697,20,3,15
1746441143.1167428,20,3,15
1746441168.0150435,20,3,15
1746441194.2243454,20,3,15
1746441221.071959,20,3,15
1746441248.1702142,20,3,15
1746441274.5344925,20,3,15
1746441300.8978574,20,3,15
1746441325.96016,20,3,15
1746441352.1674519,20,3,15
1746441378.4544806,20,3,15
1746441404.2200596,20,3,15
1746441430.1261046,20,3,15
1746441456.6386938,20,3,15
1746441482.5761807,20,3,15
1746441508.2862666,20,3,15
1746441534.3111687,20,3,15
1746441560.3811057,20,3,15
1746441585.934513,20,3,15
1746441612.648987,20,2,10
1746441633.5399668,20,2,10
1746441654.8296852,20,2,10
1746441674.9638155,20,2,10
1746441696.3306513,20,2,10
1746441717.945083,20,2,10
1746441738.947008,20,2,10
1746441760.531286,20,2,10
1746441781.0717196,20,2,10
1746441802.591563,20,2,10
1746441823.2996104,20,2,10
1746441845.153252,20,2,10
1746441866.0166903,20,2,10
1746441888.0198464,20,2,10
1746441908.4621775,20,2,10
1746441930.2191513,20,2,10
1746441950.8379068,20,2,10
1746441972.827086,20,2,10
1746441993.796115,20,2,10
1746442014.2581916,20,2,10
1746442036.0185716,20,2,10
1746442056.506278,20,2,10
1746442078.526045,20,2,10
1746442099.0934017,20,2,10
1746442119.686912,20,2,10
1746442140.080697,20,2,10
1746442161.994077,20,2,10
1746442182.6899076,20,2,10
1746442203.3198335,20,2,10
1746442225.868475,20,2,10
1746442246.9754288,20,2,10
1746442267.919328,20,2,10
1746442288.1836014,20,2,10
1746442308.204867,20,2,10
1746442329.8415601,20,2,10
1746442349.7767262,20,2,10
1746442370.1380618,20,2,10
1746442389.2429817,20,2,10
1746442410.1716092,20,2,10
1746442431.2657807,20,2,10
1746442452.0747716,20,2,10
1746442473.1734724,20,2,10
1746442495.5268478,20,2,10
1746442516.336769,20,2,10
1746442537.155991,20,2,10
1746442558.7056491,20,2,10
1746442579.7003353,20,2,10
1746442600.4942586,20,2,10
1746442621.251873,20,2,10
1746442641.9090645,20,2,10
1746442662.2805014,20,2,10
1746442682.7989247,20,2,10
1746442703.8844416,20,2,10
1746442724.6395316,20,2,10
1746442745.561762,20,2,10
1746442766.5201242,20,2,10
1746442787.8642719,20,2,10
1746442809.571935,20,2,10
1746442831.6911676,20,2,10
1746442851.3957322,20,2,10
1746442872.3262188,20,2,10
1746442892.571998,20,2,10
1746442912.6267903,20,2,10
1746442932.356394,20,2,10
1746442952.7176027,20,2,10
1746442973.4067433,20,2,10
1746442994.7417092,20,2,10
1746443014.0446317,20,2,10
1746443035.0960782,20,2,10
1746443056.1355727,20,2,10
1746443077.160929,20,2,10
1746443098.0828915,20,2,10
1746443117.5807128,20,2,10
1746443138.7639966,20,2,10
1746443159.9875555,20,2,10
1746443181.3203115,20,2,10
1746443200.6628902,20,2,10
1746443222.1514359,20,2,10
1746443243.648333,20,2,10
1746443265.1292548,20,2,10
1746443284.5420291,20,2,10
1746443306.1750162,20,2,10
1746443327.5019565,20,2,10
1746443347.081359,20,2,10
1746443368.4802368,20,2,10
1746443389.9860003,20,2,10
1746443412.3620193,20,1,5
1746443428.0125296,20,1,5
1746443443.6589243,20,1,5
1746443459.2235777,20,1,5
1746443474.908894,20,1,5
1746443490.6327453,20,1,5
1746443506.369232,20,1,5
1746443522.0413334,20,1,5
1746443537.6835768,20,1,5
1746443555.9540408,20,1,5
1746443571.7093928,20,1,5
1746443587.441859,20,1,5
1746443603.2223148,20,1,5
1746443618.9403732,20,1,5
1746443635.1764758,20,1,5
1746443651.235367,20,1,5
1746443667.0919633,20,1,5
1746443682.8686838,20,1,5
1746443698.5341196,20,1,5
1746443714.3240027,20,1,5
1746443732.2179496,20,1,5
1746443747.9830337,20,1,5
1746443763.7383604,20,1,5
1746443779.4641075,20,1,5
1746443795.4868553,20,1,5
1746443811.3939965,20,1,5
1746443827.2025466,20,1,5
1746443842.8778505,20,1,5
1746443858.4721642,20,1,5
1746443874.1217966,20,1,5
1746443890.0653117,20,1,5
1746443905.7443573,20,1,5
1746443921.5023954,20,1,5
1746443937.4363148,20,1,5
1746443953.393906,20,1,5
1746443969.3029683,20,1,5
1746443985.202499,20,1,5
1746444001.1757956,20,1,5
1746444037.3672793,20,0,0
1746445037.589688,20,0,0
1746445038.114195,20,0,0
1746445040.540185,20,1,5
1746445050.380207,20,1,5
1746446131.5318053,20,1,5
1746446132.4470055,20,1,5
1746446134.4943516,20,2,10
1746446149.5266135,20,2,10
1746447500.3994913,20,2,10
1746447501.376381,20,2,10
1746447503.4809597,20,3,15
1746447524.9896712,20,3,15
1746448672.7914555,20,3,15
1746448673.4913902,20,3,15
1746448675.446531,20,4,20
1746448702.8282337,20,4,20
1746449828.4452713,20,4,20
1746449829.3765726,20,4,20
1746449831.410871,20,5,25
1746449847.676612,20,5,25
1746449865.4446964,20,4,20
1746449865.892857,20,4,20
1746451717.790303,20,4,20
1746451718.4779203,20,4,20
1746451720.4090319,20,5,25
1746451751.3803453,20,5,25
1746453044.818089,20,5,25
1746453045.4135654,20,5,25
1746453047.3308313,20,6,30
1746453063.2161994,20,6,30
1746453086.3142664,20,5,25
1746453102.4333618,20,4,20
1746453102.5599318,20,4,20
1746454092.7262235,20,4,20
1746454093.3783839,20,4,20
1746454095.3996851,20,5,25
1746454111.1520422,20,5,25
1746454143.8565032,20,4,20
1746454144.0136874,20,4,20
1746455047.6200585,20,4,20
1746455048.3498409,20,4,20
1746455050.3893635,20,5,25
1746455066.15049,20,5,25
1746455085.766959,20,4,20
1746455103.1546228,20,3,15
1746455103.315412,20,3,15
1746456485.4954233,20,3,15
1746456486.4034865,20,3,15
1746456488.4771476,20,4,20
1746456514.70979,20,4,20
1746458248.1473536,20,4,20
1746458248.9142096,20,4,20
1746458250.7279484,20,5,25
1746458266.6381066,20,5,25
1746458301.662318,20,4,20
1746458301.831326,20,4,20
1746459815.2767801,20,4,20
1746459816.0589209,20,4,20
1746459817.9814265,20,5,25
1746459851.3848994,20,5,25
1746461290.3990343,20,5,25
1746461291.3958201,20,5,25
1746461293.4840162,20,6,30
1746461309.3216982,20,6,30
1746461349.4178183,20,5,25
1746461349.5696273,20,5,25
1746463230.9033322,20,5,25
1746463231.650487,20,5,25
1746463233.5298011,20,6,30
1746463249.4161427,20,6,30
1746463281.2278357,20,5,25
1746463293.1961348,20,4,20
1746463293.3435094,20,4,20
1746464503.9795952,20,4,20
1746464504.7708101,20,4,20
1746464506.6588345,20,5,25
1746464522.5843358,20,5,25
1746464557.6296933,20,4,20
1746464557.7954507,20,4,20
1746465658.5208094,20,4,20
1746465659.4152474,20,4,20
1746465661.484593,20,5,25
1746465677.2755513,20,5,25
1746465711.7789884,20,4,20
1746465711.9235,20,4,20
1746467008.2576642,20,4,20
1746467009.0363677,20,4,20
1746467010.933492,20,5,25
1746467043.9487605,20,5,25
1746468253.2283463,20,5,25
1746468253.9981208,20,5,25
1746468255.8680792,20,6,30
1746468271.6875813,20,6,30
1746468311.2633767,20,5,25
1746468311.426765,20,5,25
1746469708.4287665,20,5,25
1746469709.4186134,20,5,25
1746469711.5013127,20,6,30
1746469727.3530014,20,6,30
1746469753.1870408,20,5,25
1746469762.6388166,20,4,20
1746469774.5223157,20,3,15
1746469774.679747,20,3,15
1746471314.999264,20,3,15
1746471315.7557695,20,3,15
1746471317.653824,20,4,20
1746471344.4691956,20,4,20
1746471372.2642283,20,4,20
1746471404.6599145,20,4,20
1746471437.0886762,20,4,20
1746471468.4742172,20,4,20
1746471501.435483,20,4,20
1746471533.8270035,20,4,20
1746471565.222153,20,4,20
1746471597.9231095,20,4,20
1746471629.771849,20,4,20
1746471663.2680068,20,4,20
1746471684.838154,20,4,20
1746471697.353225,20,3,15
1746471698.0132556,20,3,15
1746471725.3000743,20,3,15
1746471752.2512424,20,3,15
1746471779.887281,20,3,15
1746471805.840933,20,3,15
1746471831.9640093,20,3,15
1746471859.4542477,20,3,15
1746471885.5930243,20,3,15
1746471912.2459455,20,3,15
1746471938.5052433,20,3,15
1746471966.0263817,20,3,15
1746471992.589696,20,3,15
1746472019.2321265,20,3,15
1746472045.802335,20,3,15
1746472072.7231536,20,3,15
1746472099.6684592,20,2,10
1746472120.6312203,20,2,10
1746472143.3516695,20,2,10
1746472164.6128387,20,2,10
1746472185.9719853,20,2,10
1746472207.4273963,20,2,10
1746472228.7639565,20,2,10
1746472251.639551,20,2,10
1746472272.5668533,20,2,10
1746472293.476378,20,2,10
1746472314.4698277,20,2,10
1746472335.8075578,20,2,10
1746472358.7485297,20,2,10
1746472380.2492075,20,2,10
1746472402.2595477,20,2,10
1746472423.5809455,20,2,10
1746472444.9078918,20,2,10
1746472464.5183828,20,2,10
1746472484.4570835,20,2,10
1746472503.8281426,20,2,10
1746472523.831288,20,2,10
1746472544.659714,20,2,10
1746472565.3523388,20,2,10
1746472586.1576653,20,2,10
1746472607.567278,20,2,10
1746472629.286782,20,2,10
1746472650.6108956,20,2,10
1746472672.407733,20,2,10
1746472694.2534797,20,2,10
1746472716.2604995,20,2,10
1746472738.2362673,20,2,10
1746472759.9285164,20,2,10
1746472781.578216,20,2,10
1746472803.4450738,20,2,10
1746472825.3813949,20,2,10
1746472847.482039,20,2,10
1746472867.7955973,20,2,10
1746472890.1084023,20,2,10
1746472912.0541625,20,2,10
1746472933.9649496,20,2,10
1746472955.8777726,20,2,10
1746472978.3627264,20,2,10
1746473000.3744574,20,2,10
1746473020.3647883,20,2,10
1746473042.2429914,20,2,10
1746473064.2649093,20,2,10
1746473086.35029,20,2,10
1746473106.6769989,20,2,10
1746473129.3627055,20,2,10
1746473151.6840272,20,2,10
1746473173.9590192,20,2,10
1746473196.1607268,20,2,10
1746473216.5600984,20,2,10
1746473239.0300965,20,2,10
1746473261.211664,20,2,10
1746473283.1157503,20,2,10
1746473303.701335,20,1,5
1746473321.7082314,20,1,5
1746473337.7157366,20,1,5
1746473352.6278224,20,1,5
1746473366.921234,20,1,5
1746473381.740383,20,1,5
1746473396.237091,20,1,5
1746473412.0264091,20,1,5
1746473427.738549,20,1,5
1746473444.6022544,20,1,5
1746473459.8424547,20,1,5
1746473476.0883896,20,1,5
1746473492.685716,20,1,5
1746473509.0773015,20,1,5
1746473525.1288893,20,1,5
1746473541.268773,20,1,5
1746473557.5544784,20,1,5
1746473573.7443306,20,1,5
1746473591.9331987,20,1,5
1746473607.9560304,20,1,5
1746473624.0189686,20,1,5
1746473640.29572,20,1,5
1746473656.359864,20,1,5
1746473672.4026644,20,1,5
1746473688.4068701,20,1,5
1746473704.721617,20,1,5
1746473721.2629747,20,1,5
1746473738.0699456,20,1,5
1746473756.5709293,20,1,5
1746473772.8488655,20,1,5
1746473789.0181618,20,1,5
1746473805.1997817,20,1,5
1746473821.4127498,20,1,5
1746473837.4329717,20,1,5
1746473853.5862513,20,1,5
1746473869.7665193,20,1,5
1746473885.8793638,20,1,5
1746473902.0346923,20,1,5
1746473918.3844736,20,1,5
1746473934.718888,20,1,5
1746473951.244164,20,1,5
1746473967.525289,20,1,5
1746473983.7326572,20,1,5
1746474000.310428,20,1,5
1746474016.2120616,20,1,5
1746474033.9653313,20,1,5
1746474049.8818026,20,1,5
1746474065.7147467,20,1,5
1746474081.5877955,20,1,5
1746474096.4345465,20,1,5
1746474111.4346044,20,1,5
1746474126.4053488,20,1,5
1746474141.2210214,20,1,5
1746474156.3961332,20,1,5
1746474172.0485961,20,1,5
1746474189.537661,20,1,5
1746474205.1504536,20,1,5
1746474221.2467482,20,1,5
1746474236.8030064,20,1,5
1746474252.7238784,20,1,5
1746474268.7444313,20,1,5
1746474284.3798747,20,1,5
1746474300.136587,20,1,5
1746474316.0798032,20,1,5
1746474332.5998952,20,1,5
1746474348.2550204,20,1,5
1746474363.8491774,20,1,5
1746474380.7820332,20,1,5
1746474396.663173,20,1,5
1746474412.5575035,20,1,5
1746474429.339448,20,1,5
1746474445.1824512,20,1,5
1746474462.09587,20,1,5
1746474478.1227257,20,1,5
1746474494.0121849,20,1,5
1746474529.733794,20,0,0
1746475659.770824,20,0,0
1746475660.4450753,20,0,0
1746475662.5437722,20,1,5
1746475673.5012763,20,1,5
1746476644.9977517,20,1,5
1746476645.5881882,20,1,5
1746476647.3544745,20,2,10
1746476662.886559,20,2,10
1746477609.500455,20,2,10
1746477610.357536,20,2,10
1746477612.4413455,20,3,15
1746477635.431787,20,3,15
1746478561.8264015,20,3,15
1746478562.5693457,20,3,15
1746478564.436286,20,4,20
1746478576.9503126,20,4,20
1746478596.0241818,20,3,15
1746478596.189037,20,3,15
1746479709.0128574,20,3,15
1746479709.767026,20,3,15
1746479711.6289241,20,4,20
1746479738.3834686,20,4,20
1746481153.3251312,20,4,20
1746481154.3432214,20,4,20
1746481157.4276881,20,5,25
1746481175.8091345,20,5,25
1746481184.4192455,20,4,20
1746481196.5992208,20,3,15
1746481196.9044182,20,3,15
1746482480.1737683,20,3,15
1746482480.859883,20,3,15
1746482482.5457497,20,4,20
1746482506.7732637,20,4,20
1746483672.0859892,20,4,20
1746483672.7859383,20,4,20
1746483674.6506994,20,5,25
1746483690.4486055,20,5,25
1746483710.4855018,20,4,20
1746483728.6832054,20,3,15
1746483728.8657973,20,3,15
1746484869.272458,20,3,15
1746484870.0266519,20,3,15
1746484871.7956052,20,4,20
1746484887.4913821,20,4,20
1746484913.915564,20,3,15
1746484914.0550807,20,3,15
1746486117.300098,20,3,15
1746486118.0295525,20,3,15
1746486119.837609,20,4,20
1746486135.6611495,20,4,20
1746486157.6762164,20,3,15
1746486169.9915037,20,2,10
1746486170.1475866,20,2,10
1746487323.145567,20,2,10
1746487323.8535948,20,2,10
1746487325.674656,20,3,15
1746487347.3683858,20,3,15
1746488550.0748634,20,3,15
1746488550.8534229,20,3,15
1746488552.6596258,20,4,20
1746488580.6521876,20,4,20
1746489755.85325,20,4,20
1746489756.5910265,20,4,20
1746489758.4767663,20,5,25
1746489791.7356966,20,5,25
1746491152.4384122,20,5,25
1746491153.3925745,20,5,25
1746491155.525713,20,6,30
1746491171.481461,20,6,30
1746491212.6800778,20,5,25
1746491212.856475,20,5,25
1746492499.2428389,20,5,25
1746492499.7847652,20,5,25
1746492501.4256938,20,6,30
1746492517.1531808,20,6,30
1746492557.3592055,20,5,25
1746492557.5080042,20,5,25
1746493631.7748008,20,5,25
1746493632.481229,20,5,25
1746493634.4474087,20,6,30
1746493658.8061764,20,6,30
1746493676.7473395,20,5,25
1746493676.9739687,20,5,25
1746494730.6155586,20,5,25
1746494731.3953156,20,5,25
1746494733.5079067,20,6,30
1746494749.3199797,20,6,30
1746494790.0068588,20,5,25
1746494790.2100325,20,5,25
1746495951.0060408,20,5,25
1746495951.734761,20,5,25
1746495953.5369563,20,6,30
1746495969.327616,20,6,30
1746495995.7229254,20,5,25
1746496014.0035446,20,4,20
1746496014.1693678,20,4,20
1746497189.9968996,20,4,20
1746497191.7157438,20,4,20
1746497193.552018,20,5,25
1746497209.3455937,20,5,25
1746497244.3131406,20,4,20
1746497244.457221,20,4,20
1746498158.342924,20,4,20
1746498159.2257519,20,4,20
1746498161.1709116,20,5,25
1746498192.912162,20,5,25
1746498226.6720233,20,5,25
1746498264.9426522,20,5,25
1746498302.6476047,20,5,25
1746498340.0877776,20,5,25
1746498377.2101426,20,5,25
1746498414.0300126,20,5,25
1746498450.3641758,20,5,25
1746498486.2734637,20,5,25
1746498524.0449197,20,4,20
1746498556.2503824,20,4,20
1746498588.2453012,20,4,20
1746498619.6263409,20,4,20
1746498652.8142586,20,4,20
1746498685.1793182,20,4,20
1746498716.1324089,20,4,20
1746498749.355014,20,4,20
1746498782.0644124,20,4,20
1746498813.0953245,20,4,20
1746498846.230704,20,4,20
1746498877.8776276,20,4,20
1746498911.3959394,20,4,20
1746498942.9157689,20,4,20
1746498974.295525,20,4,20
1746499007.6001003,20,4,20
1746499039.6169336,20,4,20
1746499071.6319761,20,4,20
1746499104.8754919,20,4,20
1746499136.8133714,20,4,20
1746499168.855905,20,4,20
1746499197.7353725,20,4,20
1746499226.9502635,20,4,20
1746499258.5026946,20,4,20
1746499290.6632173,20,4,20
1746499322.2327673,20,4,20
1746499352.9671395,20,4,20
1746499384.898606,20,4,20
1746499417.0529082,20,4,20
1746499449.5582187,20,4,20
1746499482.1377308,20,4,20
1746499514.3321934,20,4,20
1746499546.5635462,20,4,20
1746499578.610776,20,4,20
1746499610.6006937,20,4,20
1746499643.3738103,20,4,20
1746499676.2724154,20,4,20
1746499707.1456213,20,4,20
1746499740.2589653,20,4,20
1746499772.8415554,20,4,20
1746499805.298947,20,4,20
1746499838.5408454,20,4,20
1746499869.5324883,20,4,20
1746499902.5099597,20,4,20
1746499934.4128802,20,4,20
1746499965.0897703,20,4,20
1746499993.5380297,20,4,20
1746500022.961182,20,4,20
1746500055.1711462,20,4,20
1746500084.9916039,20,4,20
1746500115.7800598,20,4,20
1746500146.4511833,20,4,20
1746500176.2755463,20,4,20
1746500208.7552745,20,4,20
1746500240.79625,20,4,20
1746500273.6207619,20,4,20
1746500306.3170545,20,4,20
1746500339.0335875,20,4,20
1746500370.8625498,20,4,20
1746500402.093893,20,4,20
1746500434.0723972,20,4,20
1746500466.6433764,20,4,20
1746500497.929394,20,4,20
1746500529.991016,20,4,20
1746500562.3588119,20,4,20
1746500593.4485798,20,4,20
1746500625.4714522,20,4,20
1746500658.3826718,20,4,20
1746500690.118309,20,4,20
1746500722.4226038,20,4,20
1746500754.3244364,20,4,20
1746500784.8559844,20,4,20
1746500815.3539972,20,4,20
1746500847.9892383,20,4,20
1746500881.0363944,20,4,20
1746500912.9991689,20,4,20
1746500945.2722318,20,4,20
1746500976.8910532,20,4,20
1746501008.0251315,20,4,20
1746501040.4042325,20,4,20
1746501072.5958571,20,4,20
1746501104.9375951,20,4,20
1746501137.7230623,20,4,20
1746501169.3329399,20,4,20
1746501200.8749816,20,4,20
1746501234.249018,20,4,20
1746501266.2618997,20,3,15
1746501293.462984,20,3,15
1746501319.6171732,20,3,15
1746501346.8229113,20,3,15
1746501373.3360317,20,3,15
1746501400.8474028,20,3,15
1746501425.4650795,20,3,15
1746501450.1091125,20,3,15
1746501473.9814734,20,3,15
1746501497.9204307,20,3,15
1746501522.7682304,20,3,15
1746501545.7353215,20,3,15
1746501568.1133168,20,3,15
1746501591.1114097,20,3,15
1746501615.395486,20,3,15
1746501638.8147733,20,3,15
1746501662.8228562,20,3,15
1746501687.0895715,20,3,15
1746501711.2622664,20,3,15
1746501735.4678524,20,3,15
1746501759.520105,20,3,15
1746501784.0312264,20,3,15
1746501809.0136585,20,3,15
1746501833.5964725,20,3,15
1746501857.707034,20,3,15
1746501882.262333,20,3,15
1746501907.1003902,20,3,15
1746501929.2394614,20,3,15
1746501951.2442906,20,3,15
1746501973.0111833,20,3,15
1746501997.0607147,20,3,15
1746502020.950207,20,3,15
1746502044.4721918,20,3,15
1746502066.5490406,20,3,15
1746502089.5458007,20,3,15
1746502113.899932,20,3,15
1746502137.1177886,20,3,15
1746502161.0643325,20,3,15
1746502185.7070453,20,3,15
1746502209.2493968,20,3,15
1746502233.5003045,20,3,15
1746502257.750857,20,3,15
1746502280.9155476,20,3,15
1746502305.3630404,20,3,15
1746502329.5878727,20,3,15
1746502352.4643493,20,3,15
1746502376.606671,20,3,15
1746502400.2002273,20,3,15
1746502425.4404852,20,3,15
1746502448.7958233,20,3,15
1746502472.2841527,20,3,15
1746502496.839836,20,3,15
1746502519.9178174,20,3,15
1746502544.3524055,20,3,15
1746502567.5263236,20,3,15
1746502590.9979837,20,3,15
1746502616.1010153,20,3,15
1746502639.9794748,20,3,15
1746502665.2808614,20,3,15
1746502688.6578279,20,3,15
1746502712.2575338,20,3,15
1746502737.6812408,20,3,15
1746502762.0658073,20,3,15
1746502786.0751984,20,3,15
1746502809.8290453,20,3,15
1746502835.1573322,20,3,15
1746502858.7057605,20,3,15
1746502882.311675,20,3,15
1746502906.0280862,20,3,15
1746502931.3435965,20,3,15
1746502955.3654015,20,3,15
1746502979.7425828,20,3,15
1746503002.950529,20,3,15
1746503025.7619932,20,3,15
1746503048.5379853,20,3,15
1746503073.5391014,20,3,15
1746503097.583106,20,3,15
1746503122.073062,20,3,15
1746503145.5090501,20,3,15
1746503168.7726672,20,3,15
1746503192.3375263,20,3,15
1746503215.3778164,20,3,15
1746503238.7093418,20,3,15
1746503264.5203693,20,3,15
1746503288.4980228,20,3,15
1746503312.6220229,20,3,15
1746503338.435086,20,3,15
1746503362.65645,20,3,15
1746503386.789162,20,3,15
1746503411.289672,20,3,15
1746503432.391366,20,3,15
1746503453.7961864,20,3,15
1746503475.2052855,20,3,15
1746503497.8172107,20,3,15
1746503521.1897376,20,3,15
1746503545.2405324,20,3,15
1746503568.7721057,20,3,15
1746503593.0534356,20,3,15
1746503617.4431853,20,3,15
1746503641.3572893,20,3,15
1746503665.770317,20,3,15
1746503691.917756,20,2,10
1746503711.8179755,20,2,10
1746503731.3434255,20,2,10
1746503751.4900398,20,2,10
1746503770.7905972,20,2,10
1746503790.3367083,20,2,10
1746503810.3245118,20,2,10
1746503831.5466793,20,2,10
1746503851.3445687,20,2,10
1746503871.2162015,20,2,10
1746503891.2140434,20,2,10
1746503914.2286773,20,2,10
1746503934.2046654,20,2,10
1746503954.2038324,20,2,10
1746503974.3481283,20,2,10
1746503994.0363488,20,2,10
1746504013.7756681,20,2,10
1746504033.3474524,20,2,10
1746504053.5548267,20,2,10
1746504073.8247373,20,2,10
1746504093.6722257,20,2,10
1746504113.4127219,20,2,10
1746504133.3120487,20,2,10
1746504152.88585,20,2,10
1746504172.3162599,20,2,10
1746504192.396295,20,2,10
1746504211.4944837,20,2,10
1746504231.463603,20,2,10
1746504251.3107905,20,2,10
1746504271.2832332,20,2,10
1746504290.7993188,20,2,10
1746504310.9071116,20,2,10
1746504330.6186125,20,2,10
1746504349.7395844,20,2,10
1746504370.0290823,20,2,10
1746504390.6012547,20,2,10
1746504411.3444088,20,2,10
1746504431.1073587,20,2,10
1746504451.8143215,20,2,10
1746504471.561391,20,2,10
1746504492.0882034,20,2,10
1746504510.4945934,20,2,10
1746504529.499541,20,2,10
1746504547.4278271,20,2,10
1746504566.5908206,20,2,10
1746504586.1889966,20,2,10
1746504606.9576085,20,2,10
1746504626.5637422,20,2,10
1746504647.2944067,20,2,10
1746504667.003204,20,2,10
1746504688.267224,20,2,10
1746504708.193016,20,2,10
1746504728.0053487,20,2,10
1746504749.1170678,20,2,10
1746504769.061594,20,2,10
1746504788.6550395,20,2,10
1746504809.3869398,20,2,10
1746504829.4420676,20,2,10
1746504849.0702367,20,2,10
1746504870.4018,20,2,10
1746504890.3804238,20,1,5
1746504904.9177966,20,1,5
1746504920.3233562,20,1,5
1746504934.8030663,20,1,5
1746504950.286239,20,1,5
1746504964.9170542,20,1,5
1746504980.6365278,20,1,5
1746504995.2183633,20,1,5
1746505010.9121642,20,1,5
1746505025.3298593,20,1,5
1746505039.861063,20,1,5
1746505055.562951,20,1,5
1746505070.182074,20,1,5
1746505086.1006806,20,1,5
1746505100.7638457,20,1,5
1746505116.7396176,20,1,5
1746505131.5592172,20,1,5
1746505146.1774807,20,1,5
1746505161.928479,20,1,5
1746505176.47278,20,1,5
1746505192.5011148,20,1,5
1746505207.0118287,20,1,5
1746505221.4737933,20,1,5
1746505237.3022091,20,1,5
1746505252.0080411,20,1,5
1746505267.153977,20,1,5
1746505283.5509305,20,1,5
1746505298.4017603,20,1,5
1746505313.2482517,20,1,5
1746505329.402505,20,1,5
1746505344.274195,20,1,5
1746505359.3516085,20,1,5
1746505375.7561812,20,1,5
1746505390.6179554,20,1,5
1746505405.497254,20,1,5
1746505421.6624985,20,1,5
1746505436.4249175,20,1,5
1746505451.1478868,20,1,5
1746505467.4136133,20,1,5
1746505482.2608721,20,1,5
1746505514.6705272,20,0,0
1746506548.6021147,20,0,0
1746506549.1465375,20,0,0
1746506551.2040834,20,1,5
1746506560.874182,20,1,5
1746507553.2690067,20,1,5
1746507553.9448345,20,1,5
1746507555.5785875,20,2,10
1746507570.8504298,20,2,10
1746508362.3744318,20,2,10
1746508363.868671,20,2,10
1746508365.32557,20,3,15
1746508369.800607,20,3,15
1746508383.9606009,20,2,10
1746508384.0440056,20,2,10
1746509616.5693948,20,2,10
1746509617.4333775,20,2,10
1746509619.5085113,20,3,15
1746509627.6786845,20,3,15
1746509646.0517921,20,2,10
1746509646.3090143,20,2,10
1746510953.292353,20,2,10
1746510954.058627,20,2,10
1746510955.910373,20,3,15
1746510979.867681,20,3,15
1746512394.1014721,20,3,15
1746512394.830836,20,3,15
1746512396.682756,20,4,20
1746512424.7920952,20,4,20
1746513480.9824963,20,4,20
1746513481.7057123,20,4,20
1746513483.5313878,20,5,25
1746513516.2055452,20,5,25
1746514520.553003,20,5,25
1746514521.341608,20,5,25
1746514523.4270797,20,6,30
1746514539.3694053,20,6,30
1746514565.9609582,20,5,25
1746514585.1172276,20,4,20
1746514585.316328,20,4,20
1746515808.8670282,20,4,20
1746515809.629532,20,4,20
1746515811.5003576,20,5,25
1746515844.161079,20,5,25
1746516899.6981924,20,5,25
1746516900.4425554,20,5,25
1746516902.4854295,20,6,30
1746516918.3409233,20,6,30
1746516961.2079508,20,5,25
1746516961.402917,20,5,25
1746518047.2432017,20,5,25
1746518047.9449062,20,5,25
1746518049.8765738,20,6,30
1746518073.630524,20,6,30
1746518092.057949,20,5,25
1746518092.2827907,20,5,25
1746519813.2485957,20,5,25
1746519813.9789367,20,5,25
1746519815.8481827,20,6,30
1746519832.0781035,20,6,30
1746519855.3940995,20,5,25
1746519892.9193091,20,4,20
1746519893.0973039,20,4,20
1746521225.0969372,20,4,20
1746521225.8412313,20,4,20
1746521227.750276,20,5,25
1746521263.0415845,20,5,25
1746522732.0672255,20,5,25
1746522732.7093627,20,5,25
1746522734.42714,20,6,30
1746522750.217457,20,6,30
1746522786.6939259,20,5,25
1746522786.817039,20,5,25
1746523995.698352,20,5,25
1746523996.417399,20,5,25
1746523998.4626145,20,6,30
1746524014.3479373,20,6,30
1746524057.2634456,20,5,25
1746524057.4342623,20,5,25
1746525471.678901,20,5,25
1746525472.4248998,20,5,25
1746525474.4446278,20,6,30
1746525490.2893105,20,6,30
1746525533.3213232,20,5,25
1746525533.501145,20,5,25
1746526813.9004812,20,5,25
1746526814.4884126,20,5,25
1746526816.3238277,20,6,30
1746526838.7612605,20,6,30
1746526857.1049623,20,5,25
1746526857.3825853,20,5,25
1746528244.0537488,20,5,25
1746528244.637344,20,5,25
1746528246.3652072,20,6,30
1746528262.1368902,20,6,30
1746528300.8117166,20,5,25
1746528300.957033,20,5,25
1746529286.0020578,20,5,25
1746529286.538198,20,5,25
1746529288.3396275,20,6,30
1746529304.211884,20,6,30
1746529346.356173,20,5,25
1746529346.4901116,20,5,25
1746530355.9199903,20,5,25
1746530356.6466744,20,5,25
1746530358.5434854,20,6,30
1746530374.349856,20,6,30
1746530417.0934165,20,5,25
1746530417.451767,20,5,25
1746530452.5479245,20,5,25
1746530491.2477064,20,5,25
1746530530.08917,20,5,25
1746530570.754195,20,5,25
1746530609.454856,20,5,25
1746530648.5675669,20,5,25
1746530690.8069768,20,5,25
1746530730.9253445,20,5,25
1746530770.3119774,20,5,25
1746530808.001047,20,5,25
1746530846.3797762,20,5,25
1746530884.7768285,20,5,25
1746530922.5797503,20,5,25
1746530960.5706768,20,5,25
1746530998.6954136,20,5,25
1746531037.5104077,20,5,25
1746531076.2703118,20,5,25
1746531114.791366,20,5,25
1746531154.1201818,20,5,25
1746531189.3152676,20,5,25
1746531223.8680155,20,5,25
1746531261.916581,20,5,25
1746531298.2780209,20,5,25
1746531335.9332962,20,5,25
1746531375.2471156,20,5,25
1746531414.2200882,20,5,25
1746531453.6951888,20,5,25
1746531492.5155218,20,5,25
1746531531.4228938,20,5,25
1746531570.864477,20,5,25
1746531610.1464658,20,4,20
1746531644.2182813,20,4,20
1746531677.995998,20,4,20
1746531711.4695358,20,4,20
1746531745.8553805,20,4,20
1746531778.91327,20,4,20
1746531812.2401054,20,4,20
1746531846.9633205,20,4,20
1746531880.7364807,20,4,20
1746531913.8768237,20,4,20
1746531947.6944036,20,4,20
1746531981.1200793,20,4,20
1746532014.2811186,20,4,20
1746532050.8904266,20,4,20
1746532085.006844,20,4,20
1746532118.8203557,20,4,20
1746532153.154401,20,4,20
1746532184.8529382,20,4,20
1746532217.0322642,20,4,20
1746532248.9715729,20,4,20
1746532283.959106,20,4,20
1746532316.8394568,20,4,20
1746532350.6971607,20,4,20
1746532383.7730794,20,4,20
1746532413.8706226,20,4,20
1746532443.4748943,20,4,20
1746532475.370262,20,4,20
1746532506.1797347,20,4,20
1746532538.9226608,20,4,20
1746532571.1091547,20,4,20
1746532604.3931131,20,4,20
1746532635.5623553,20,4,20
1746532668.2887595,20,4,20
1746532703.3641438,20,4,20
1746532736.2298846,20,4,20
1746532769.5565724,20,4,20
1746532806.066904,20,4,20
1746532839.5590482,20,4,20
1746532873.0997705,20,4,20
1746532906.2637672,20,4,20
1746532939.619685,20,4,20
1746532975.3511603,20,4,20
1746533008.3874648,20,4,20
1746533041.270836,20,4,20
1746533074.5403368,20,4,20
1746533108.4699728,20,4,20
1746533142.1602087,20,4,20
1746533175.4984455,20,4,20
1746533208.8225832,20,4,20
1746533242.6663847,20,4,20
1746533276.6463532,20,4,20
1746533310.326432,20,4,20
1746533344.955625,20,4,20
1746533378.762248,20,4,20
1746533410.4398086,20,4,20
1746533444.8897374,20,4,20
1746533478.8097234,20,4,20
1746533513.0035126,20,4,20
1746533546.9823525,20,4,20
1746533578.8619993,20,4,20
1746533613.6068935,20,4,20
1746533647.5610101,20,4,20
1746533681.288775,20,4,20
1746533713.6316147,20,4,20
1746533747.7202096,20,4,20
1746533781.9031677,20,4,20
1746533815.3694413,20,4,20
1746533846.4241529,20,4,20
1746533880.149452,20,4,20
1746533914.1108103,20,4,20
1746533948.4518762,20,4,20
1746533983.5125535,20,4,20
1746534017.1565003,20,4,20
1746534050.102299,20,4,20
1746534081.7820132,20,4,20
1746534114.2491357,20,4,20
1746534147.0165749,20,4,20
1746534180.1518335,20,4,20
1746534212.254409,20,4,20
1746534245.4669344,20,4,20
1746534275.055785,20,4,20
1746534303.1449943,20,4,20
1746534334.192889,20,4,20
1746534364.9930573,20,4,20
1746534397.8696804,20,4,20
1746534429.7131994,20,4,20
1746534461.83931,20,4,20
1746534494.760567,20,4,20
1746534526.7338443,20,4,20
1746534559.4947767,20,4,20
1746534593.2449872,20,4,20
1746534628.0040147,20,3,15
1746534656.075483,20,3,15
1746534684.1141355,20,3,15
1746534712.0005388,20,3,15
1746534740.4047701,20,3,15
1746534768.2257888,20,3,15
1746534795.9131277,20,3,15
1746534823.3627434,20,3,15
1746534851.2549598,20,3,15
1746534879.3591712,20,3,15
1746534908.5137305,20,3,15
1746534935.7477353,20,3,15
1746534967.0643897,20,3,15
1746534996.1027427,20,3,15
1746535023.0837252,20,3,15
1746535051.0900018,20,3,15
1746535078.1598516,20,3,15
1746535106.460991,20,3,15
1746535133.583445,20,3,15
1746535161.783531,20,3,15
1746535188.398121,20,3,15
1746535216.9822078,20,3,15
1746535244.2854316,20,3,15
1746535273.7189589,20,3,15
1746535300.7627606,20,3,15
1746535329.7605886,20,3,15
1746535356.9105172,20,3,15
1746535385.6647499,20,3,15
1746535413.3038452,20,3,15
1746535441.3733783,20,3,15
1746535469.026757,20,3,15
1746535496.1760743,20,3,15
1746535523.3088722,20,3,15
1746535552.3839283,20,3,15
1746535579.9025855,20,3,15
1746535607.0779228,20,3,15
1746535634.1161866,20,3,15
1746535661.3832252,20,3,15
1746535688.178022,20,3,15
1746535716.1496992,20,3,15
1746535744.3071823,20,3,15
1746535772.8210905,20,3,15
1746535801.1342356,20,3,15
1746535830.2131062,20,2,10
1746535852.9956512,20,2,10
1746535875.2339084,20,2,10
1746535897.4985287,20,2,10
1746535919.6316895,20,2,10
1746535941.7371051,20,2,10
1746535963.5530434,20,2,10
1746535987.166038,20,2,10
1746536009.1852322,20,2,10
1746536031.1457605,20,2,10
1746536052.655563,20,2,10
1746536074.4498336,20,2,10
1746536096.58915,20,2,10
1746536118.747763,20,2,10
1746536140.5718715,20,2,10
1746536162.3198156,20,2,10
1746536184.1871357,20,2,10
1746536207.1611023,20,2,10
1746536229.7381706,20,2,10
1746536252.5161529,20,2,10
1746536275.4037728,20,2,10
1746536296.1600695,20,2,10
1746536318.702969,20,2,10
1746536341.4402344,20,2,10
1746536364.3397396,20,2,10
1746536386.9042535,20,2,10
1746536409.3485415,20,2,10
1746536432.0679326,20,2,10
1746536455.055293,20,2,10
1746536476.1528816,20,2,10
1746536498.6924777,20,2,10
1746536521.7535267,20,2,10
1746536544.7806,20,2,10
1746536566.131162,20,2,10
1746536587.2464354,20,2,10
1746536606.6267116,20,2,10
1746536627.7956119,20,2,10
1746536648.9619455,20,2,10
1746536668.6090324,20,2,10
1746536687.1735902,20,2,10
1746536707.9773052,20,2,10
1746536730.1129653,20,2,10
1746536752.1024685,20,2,10
1746536774.07082,20,2,10
1746536794.1783905,20,2,10
1746536815.6268172,20,2,10
1746536837.419745,20,2,10
1746536858.4396963,20,2,10
1746536881.6473322,20,2,10
1746536904.8024316,20,2,10
1746536927.927,20,2,10
1746536948.870064,20,2,10
1746536971.5618393,20,2,10
1746536994.2073894,20,2,10
1746537014.7401915,20,2,10
1746537037.222701,20,1,5
1746537052.5688927,20,1,5
1746537067.6928778,20,1,5
1746537082.7162352,20,1,5
1746537100.5558317,20,1,5
1746537117.2533262,20,1,5
1746537134.145496,20,1,5
1746537150.643509,20,1,5
1746537167.0192044,20,1,5
1746537183.6282878,20,1,5
1746537200.2298975,20,1,5
1746537216.926782,20,1,5
1746537233.493258,20,1,5
1746537250.1345758,20,1,5
1746537268.9061363,20,1,5
1746537285.7362587,20,1,5
1746537302.3890588,20,1,5
1746537318.8466473,20,1,5
1746537335.3696694,20,1,5
1746537351.9390602,20,1,5
1746537368.5027978,20,1,5
1746537385.6144898,20,1,5
1746537402.3651712,20,1,5
1746537419.0259793,20,1,5
1746537436.0248206,20,1,5
1746537454.9197707,20,1,5
1746537471.571499,20,1,5
1746537488.5708609,20,1,5
1746537505.3937607,20,1,5
1746537522.1904476,20,1,5
1746537538.922187,20,1,5
1746537557.3430424,20,1,5
1746537573.9262307,20,1,5
1746537590.6004002,20,1,5
1746537607.2075965,20,1,5
1746537623.5578892,20,1,5
1746537661.7378194,20,0,0
1746538749.0430555,20,0,0
1746538749.6200395,20,0,0
1746538751.6643162,20,1,5
1746538762.9125502,20,1,5
1746539937.888213,20,1,5
1746539938.649687,20,1,5
1746539940.5296845,20,2,10
1746539958.1978202,20,2,10
1746541251.898671,20,2,10
1746541252.5707018,20,2,10
1746541254.4375558,20,3,15
1746541277.5027537,20,3,15
1746542340.0747921,20,3,15
1746542340.694885,20,3,15
1746542343.3047657,20,4,20
1746542355.9510126,20,4,20
1746542373.16014,20,3,15
1746542373.3853328,20,3,15
1746543729.8921568,20,3,15
1746543730.4406817,20,3,15
1746543732.257522,20,4,20
1746543756.3474777,20,4,20
1746544779.477162,20,4,20
1746544780.4319308,20,4,20
1746544782.5050044,20,5,25
1746544813.6674106,20,5,25
1746545943.787671,20,5,25
1746545944.4867735,20,5,25
1746545946.3926175,20,6,30
1746545970.3260837,20,6,30
1746545989.1548605,20,5,25
1746545989.6823502,20,4,20
1746547148.5115888,20,4,20
1746547149.3137374,20,4,20
1746547151.4229958,20,5,25
1746547184.2543805,20,4,20
1746548126.833287,20,4,20
1746548127.5307255,20,4,20
1746548129.4730225,20,5,25
1746548162.7134678,20,5,25
1746549316.4856808,20,5,25
1746549317.391548,20,5,25
1746549319.4851217,20,6,30
1746549344.934426,20,6,30
1746549362.8582788,20,5,25
1746549363.3437045,20,5,25
1746550771.3188026,20,5,25
1746550772.322189,20,5,25
1746550774.5644805,20,6,30
1746550790.4872167,20,6,30
1746550817.6454678,20,5,25
1746550837.0257425,20,4,20
1746550837.207956,20,4,20
1746552491.5100605,20,4,20
1746552492.1349308,20,4,20
1746552493.811854,20,5,25
1746552509.4603949,20,5,25
1746552541.8161163,20,4,20
1746552541.942419,20,4,20
1746553948.5231714,20,4,20
1746553949.424661,20,4,20
1746553951.7079823,20,5,25
1746553967.5617142,20,5,25
1746553989.5607312,20,4,20
1746554009.1730764,20,3,15
1746554009.3159165,20,3,15
1746555180.5537531,20,3,15
1746555181.3634589,20,3,15
1746555183.4522862,20,4,20
1746555199.28471,20,4,20
1746555229.4404397,20,3,15
1746555229.6029108,20,3,15
1746556400.9315288,20,3,15
1746556401.6837177,20,3,15
1746556403.5589306,20,4,20
1746556417.1228979,20,4,20
1746556437.711066,20,3,15
1746556437.8571765,20,3,15
1746558011.036682,20,3,15
1746558011.7172303,20,3,15
1746558013.5883977,20,4,20
1746558029.4634178,20,4,20
1746558046.779334,20,3,15
1746558066.0147815,20,2,10
1746558066.1542647,20,2,10
1746559807.5962934,20,2,10
1746559808.5077975,20,2,10
1746559810.439222,20,3,15
1746559831.9031625,20,3,15
1746560903.268165,20,3,15
1746560903.9880033,20,3,15
1746560905.8811986,20,4,20
1746560935.3782473,20,4,20
1746562106.6113577,20,4,20
1746562107.4376822,20,4,20
1746562109.495927,20,5,25
1746562125.4091406,20,5,25
1746562162.9516692,20,4,20
1746562163.114982,20,4,20
1746563520.9320774,20,4,20
1746563521.7123241,20,4,20
1746563523.565824,20,5,25
1746563548.6253843,20,5,25
1746563561.9056804,20,4,20
1746563562.3627465,20,4,20
1746563592.8457959,20,4,20
1746563627.0049462,20,4,20
1746563660.7046905,20,4,20
1746563695.1086087,20,4,20
1746563729.343234,20,4,20
1746563762.448045,20,4,20
1746563795.5510266,20,4,20
1746563830.4249485,20,4,20
1746563863.586108,20,4,20
1746563898.0910048,20,4,20
1746563931.446364,20,4,20
1746563964.7032661,20,4,20
1746563998.2891984,20,4,20
1746564031.8583055,20,4,20
1746564065.7330568,20,4,20
1746564099.625623,20,4,20
1746564133.3308866,20,4,20
1746564167.6541383,20,4,20
1746564201.927865,20,4,20
1746564237.0040178,20,4,20
1746564272.3104637,20,4,20
1746564307.2905233,20,4,20
1746564340.2274942,20,4,20
1746564374.4955904,20,4,20
1746564408.7921789,20,4,20
1746564441.1426027,20,4,20
1746564475.584801,20,4,20
1746564510.9253273,20,4,20
1746564544.220209,20,4,20
1746564579.051662,20,4,20
1746564612.490864,20,4,20
1746564647.3231497,20,4,20
1746564680.6646833,20,4,20
1746564713.9162145,20,4,20
1746564749.5354657,20,4,20
1746564783.0864918,20,4,20
1746564816.4864395,20,4,20
1746564850.3045096,20,4,20
1746564885.3636658,20,4,20
1746564918.2540953,20,4,20
1746564950.7439654,20,4,20
1746564983.8276525,20,4,20
1746565018.0010657,20,4,20
1746565053.7092981,20,4,20
1746565087.7408936,20,4,20
1746565122.221383,20,4,20
1746565154.651681,20,4,20
1746565186.9085915,20,4,20
1746565219.0420957,20,4,20
1746565252.5278826,20,4,20
1746565286.6222715,20,4,20
1746565320.0947564,20,4,20
1746565353.6396708,20,4,20
1746565387.4574428,20,4,20
1746565421.0936563,20,4,20
1746565441.912895,20,4,20
1746565473.5220668,20,3,15
1746565473.8622875,20,3,15
1746565500.995428,20,3,15
1746565528.1668422,20,3,15
1746565556.5991542,20,3,15
1746565586.8417492,20,3,15
1746565614.9208164,20,3,15
1746565642.9820695,20,3,15
1746565670.866023,20,3,15
1746565701.1367595,20,3,15
1746565728.8299832,20,3,15
1746565756.7033827,20,3,15
1746565784.4452453,20,3,15
1746565812.8732173,20,3,15
1746565843.5786932,20,3,15
1746565872.7419887,20,3,15
1746565901.2222993,20,3,15
1746565930.0879855,20,3,15
1746565957.9022334,20,3,15
1746565987.7842872,20,3,15
1746566015.4167376,20,3,15
1746566045.2904096,20,3,15
1746566073.0413728,20,3,15
1746566101.349199,20,3,15
1746566131.5632148,20,3,15
1746566159.6107838,20,3,15
1746566187.1358194,20,3,15
1746566215.3971338,20,3,15
1746566243.699986,20,3,15
1746566272.0968418,20,3,15
1746566299.24162,20,3,15
1746566327.4047694,20,3,15
1746566356.3661141,20,3,15
1746566383.7182794,20,3,15
1746566412.622226,20,3,15
1746566439.9958868,20,3,15
1746566469.4911425,20,3,15
1746566497.193059,20,3,15
1746566526.6088123,20,3,15
1746566554.6659563,20,3,15
1746566582.1963084,20,3,15
1746566609.9804728,20,3,15
1746566639.5651534,20,3,15
1746566666.9925876,20,3,15
1746566694.6473923,20,3,15
1746566723.0483437,20,3,15
1746566751.5036256,20,3,15
1746566779.7730286,20,3,15
1746566806.2615042,20,3,15
1746566831.8180375,20,3,15
1746566857.1365345,20,3,15
1746566882.9118621,20,3,15
1746566910.2908978,20,3,15
1746566937.6801777,20,3,15
1746566964.8982694,20,3,15
1746566993.0802023,20,3,15
1746567021.3655207,20,3,15
1746567049.6771913,20,3,15
1746567078.2880461,20,3,15
1746567106.287733,20,3,15
1746567134.7917745,20,3,15
1746567163.056701,20,3,15
1746567190.2749243,20,3,15
1746567218.6245034,20,3,15
1746567247.5192423,20,2,10
1746567269.717667,20,2,10
1746567292.4931388,20,2,10
1746567315.3535907,20,2,10
1746567337.2132967,20,2,10
1746567361.1506202,20,2,10
1746567385.0250354,20,2,10
1746567407.1730459,20,2,10
1746567430.2402582,20,2,10
1746567452.0090914,20,2,10
1746567474.985575,20,2,10
1746567496.7577822,20,2,10
1746567519.7284253,20,2,10
1746567541.702525,20,2,10
1746567564.8592181,20,2,10
1746567586.5204608,20,2,10
1746567608.3819368,20,2,10
1746567631.9077888,20,2,10
1746567653.9915082,20,2,10
1746567677.6228113,20,2,10
1746567699.7765167,20,2,10
1746567722.0638387,20,2,10
1746567745.6210372,20,2,10
1746567767.4319265,20,2,10
1746567789.391993,20,2,10
1746567811.4034362,20,2,10
1746567835.0747774,20,2,10
1746567856.962759,20,2,10
1746567878.7046144,20,2,10
1746567901.2117615,20,2,10
1746567924.728067,20,2,10
1746567946.6468716,20,2,10
1746567968.7951803,20,2,10
1746567990.8973765,20,2,10
1746568014.8927855,20,2,10
1746568037.1373818,20,2,10
1746568060.0245068,20,2,10
1746568083.047317,20,2,10
1746568105.4541519,20,2,10
1746568128.4462245,20,2,10
1746568151.1820397,20,2,10
1746568174.503837,20,2,10
1746568197.0079527,20,2,10
1746568221.173158,20,2,10
1746568243.4712825,20,2,10
1746568265.8415868,20,2,10
1746568288.269175,20,2,10
1746568310.604169,20,2,10
1746568333.5710645,20,2,10
1746568356.2215273,20,2,10
1746568378.8798094,20,2,10
1746568401.3450205,20,2,10
1746568423.8750174,20,2,10
1746568447.3157384,20,1,5
1746568463.643057,20,1,5
1746568482.0848632,20,1,5
1746568500.4086862,20,1,5
1746568516.672712,20,1,5
1746568532.8801918,20,1,5
1746568550.4638388,20,1,5
1746568566.172535,20,1,5
1746568581.9825885,20,1,5
1746568597.9188929,20,1,5
1746568615.4989433,20,1,5
1746568630.8853269,20,1,5
1746568646.894906,20,1,5
1746568662.8875844,20,1,5
1746568680.7482324,20,1,5
1746568696.948347,20,1,5
1746568712.9142463,20,1,5
1746568728.6268344,20,1,5
1746568745.949418,20,1,5
1746568761.846922,20,1,5
1746568777.60615,20,1,5
1746568793.4840887,20,1,5
1746568811.163959,20,1,5
1746568827.075986,20,1,5
1746568843.371712,20,1,5
1746568859.5577471,20,1,5
1746568875.317217,20,1,5
1746568893.229251,20,1,5
1746568909.2075536,20,1,5
1746568925.3215232,20,1,5
1746568941.5007915,20,1,5
1746568957.1880639,20,1,5
1746568975.8769042,20,1,5
1746568992.6005847,20,1,5
1746569009.6044416,20,1,5
1746569026.3684516,20,1,5
1746569042.9478133,20,1,5
1746569061.32615,20,1,5
1746569077.582263,20,1,5
1746569094.119722,20,1,5
1746569110.6489084,20,1,5
1746569127.0445805,20,1,5
1746569143.3308952,20,1,5
1746569161.8378658,20,1,5
1746569178.1304533,20,1,5
1746569194.9809241,20,1,5
1746569211.5057452,20,1,5
1746569228.1712618,20,1,5
1746569244.802238,20,1,5
1746569261.6025028,20,1,5
1746569280.4800289,20,1,5
1746569297.311776,20,1,5
1746569313.882179,20,1,5
1746569330.4979193,20,1,5
1746569347.016997,20,1,5
1746569363.8274114,20,1,5
1746569380.3565476,20,1,5
1746569396.91199,20,1,5
1746569415.5926733,20,1,5
1746569432.0779657,20,1,5
1746569448.5996282,20,1,5
1746569465.326794,20,1,5
1746569481.928922,20,1,5
1746569498.5684516,20,1,5
1746569515.071371,20,1,5
1746569531.6414187,20,1,5
1746569548.5663986,20,1,5
1746569567.6270525,20,1,5
1746569584.6109862,20,1,5
1746569601.4985561,20,1,5
1746569618.5439088,20,1,5
1746569635.2229264,20,1,5
1746569672.7990677,20,0,0
1746570958.983084,20,0,0
1746570959.6181514,20,0,0
1746570961.868123,20,1,5
1746570973.521771,20,1,5
1746572107.0152617,20,1,5
1746572107.7829933,20,1,5
1746572109.705105,20,2,10
1746572126.1881115,20,2,10
1746573341.2934089,20,2,10
1746573342.2342408,20,2,10
1746573344.4783869,20,3,15
1746573353.430676,20,3,15
1746573373.0167356,20,2,10
1746573373.2677898,20,2,10
1746574817.523313,20,2,10
1746574818.0290327,20,2,10
1746574819.4745064,20,3,15
1746574841.869185,20,3,15
1746576121.7619154,20,3,15
1746576122.075048,20,3,15
1746576123.5087895,20,4,20
1746576132.804839,20,4,20
1746576147.6218278,20,3,15
1746576147.6936202,20,3,15
1746577660.5293057,20,3,15
1746577661.0658214,20,3,15
1746577662.7791378,20,4,20
1746577687.4279048,20,4,20
1746578785.0719244,20,4,20
1746578785.4435618,20,4,20
1746578787.197519,20,5,25
1746578803.0486913,20,5,25
1746578834.8879242,20,4,20
1746578835.0068297,20,4,20
1746580086.4311614,20,4,20
1746580087.1334832,20,4,20
1746580088.7849052,20,5,25
1746580103.6058764,20,5,25
1746580119.6974945,20,4,20
1746580119.8918235,20,4,20
1746581835.0870414,20,4,20
1746581835.7533476,20,4,20
1746581837.738918,20,5,25
1746581853.5926416,20,5,25
1746581875.5101228,20,4,20
1746581894.1997075,20,3,15
1746581894.3472,20,3,15
1746583519.5423245,20,3,15
1746583520.469033,20,3,15
1746583522.5521407,20,4,20
1746583538.4403203,20,4,20
1746583569.501568,20,3,15
1746583569.675456,20,3,15
1746585822.2540133,20,3,15
1746585823.0429094,20,3,15
1746585825.009041,20,4,20
1746585841.122991,20,4,20
1746585863.9800224,20,3,15
1746585878.0243366,20,2,10
1746585878.1995966,20,2,10
1746587831.069411,20,2,10
1746587831.8258076,20,2,10
1746587833.6753678,20,3,15
1746587858.0666623,20,3,15
1746589420.56237,20,3,15
1746589421.3400164,20,3,15
1746589423.421812,20,4,20
1746589439.243406,20,4,20
1746589471.0624745,20,3,15
1746589471.2210152,20,3,15
1746590950.0962632,20,3,15
1746590950.775812,20,3,15
1746590952.6471567,20,4,20
1746590968.41584,20,4,20
1746590984.8105557,20,3,15
1746591002.8268468,20,2,10
1746591002.9932835,20,2,10
1746592721.8397248,20,2,10
1746592722.5308805,20,2,10
1746592724.483921,20,3,15
1746592731.7095516,20,3,15
1746592750.9588182,20,2,10
1746592751.1313045,20,2,10
1746594697.7271945,20,2,10
1746594698.4155529,20,2,10
1746594700.4957278,20,3,15
1746594708.2025254,20,3,15
1746594727.8036077,20,2,10
1746594727.9526932,20,2,10
1746596522.0176747,20,2,10
1746596522.760992,20,2,10
1746596524.647405,20,3,15
1746596540.5949743,20,3,15
1746596557.8004658,20,2,10
1746596570.8595858,20,1,5
1746596571.049213,20,1,5
1746598938.9951758,20,1,5
1746598939.6196923,20,1,5
1746598941.472804,20,2,10
1746598958.851111,20,2,10
1746601017.969289,20,2,10
1746601018.7187908,20,2,10
1746601021.65401,20,3,15
1746601045.9233663,20,3,15
1746602582.7413805,20,3,15
1746602583.4977338,20,3,15
1746602585.50788,20,4,20
1746602601.3555434,20,4,20
1746602618.7323456,20,3,15
1746602637.7987213,20,2,10
1746602638.147988,20,2,10
1746602657.2392251,20,2,10
1746602681.1415107,20,2,10
1746602703.917466,20,2,10
1746602726.566106,20,2,10
1746602749.9121842,20,2,10
1746602772.324427,20,2,10
1746602795.0645416,20,2,10
1746602819.0621212,20,2,10
1746602842.3263693,20,2,10
1746602865.075438,20,2,10
1746602887.5424514,20,2,10
1746602909.9115348,20,2,10
1746602932.4203887,20,2,10
1746602954.4859397,20,2,10
1746602976.2936645,20,2,10
1746602999.0128646,20,2,10
1746603022.5828261,20,2,10
1746603045.3739572,20,2,10
1746603068.1970367,20,2,10
1746603090.8312836,20,2,10
1746603113.7099745,20,2,10
1746603136.3155348,20,2,10
1746603159.0370407,20,2,10
1746603181.1615725,20,2,10
1746603204.8425229,20,2,10
1746603228.1137943,20,2,10
1746603251.366022,20,2,10
1746603273.5851808,20,2,10
1746603297.536801,20,2,10
1746603320.922494,20,2,10
1746603342.9367225,20,2,10
1746603366.3885562,20,2,10
1746603390.294118,20,2,10
1746603412.7745185,20,2,10
1746603436.6253638,20,2,10
1746603458.7944193,20,2,10
1746603482.2775426,20,2,10
1746603505.6075497,20,2,10
1746603527.848868,20,2,10
1746603551.9641511,20,2,10
1746603575.1167037,20,2,10
1746603599.052026,20,2,10
1746603621.7122972,20,2,10
1746603645.6354613,20,2,10
1746603668.8299823,20,2,10
1746603691.7972102,20,2,10
1746603715.770977,20,2,10
1746603738.167854,20,2,10
1746603762.0740666,20,2,10
1746603784.8599188,20,2,10
1746603808.0334198,20,2,10
1746603832.816027,20,2,10
1746603855.5948734,20,2,10
1746603878.191696,20,2,10
1746603901.875279,20,2,10
1746603923.8427093,20,2,10
1746603945.7594388,20,2,10
1746603967.681489,20,2,10
1746603990.6682801,20,2,10
1746604015.2822797,20,2,10
1746604038.4143527,20,2,10
1746604059.744446,20,2,10
1746604080.1370883,20,2,10
1746604104.1783388,20,2,10
1746604126.6826196,20,2,10
1746604149.4900146,20,2,10
1746604172.332674,20,2,10
1746604194.956954,20,2,10
1746604218.1554644,20,2,10
1746604241.365053,20,2,10
1746604264.9185925,20,2,10
1746604287.7947094,20,2,10
1746604312.3666487,20,2,10
1746604335.3983803,20,2,10
1746604358.2636552,20,2,10
1746604381.0885305,20,2,10
1746604404.0763705,20,2,10
1746604427.249461,20,2,10
1746604448.7958648,20,2,10
1746604470.3789072,20,2,10
1746604491.9794307,20,2,10
1746604513.0570529,20,2,10
1746604536.0032282,20,2,10
1746604556.717607,20,2,10
1746604578.8611622,20,2,10
1746604600.9913416,20,2,10
1746604622.7634563,20,2,10
1746604644.7281141,20,2,10
1746604666.4870057,20,2,10
1746604689.3107433,20,2,10
1746604711.617646,20,2,10
1746604733.788476,20,2,10
1746604756.13249,20,2,10
1746604778.5198262,20,2,10
1746604799.8149874,20,2,10
1746604823.464806,20,2,10
1746604846.0861194,20,2,10
1746604868.5315337,20,2,10
1746604890.9375658,20,2,10
1746604914.2233534,20,2,10
1746604935.9684246,20,2,10
1746604959.7523558,20,2,10
1746604983.5176945,20,2,10
1746605007.1593528,20,2,10
1746605030.7072713,20,2,10
1746605051.982324,20,2,10
1746605075.6541944,20,2,10
1746605099.1520226,20,2,10
1746605123.3630502,20,2,10
1746605145.0177894,20,2,10
1746605169.4069839,20,2,10
1746605193.240385,20,2,10
1746605217.6484592,20,2,10
1746605239.7167351,20,2,10
1746605263.7647216,20,2,10
1746605287.6504798,20,2,10
1746605312.177815,20,2,10
1746605333.8800101,20,2,10
1746605357.6536841,20,2,10
1746605381.4576628,20,2,10
1746605404.091043,20,2,10
1746605428.3935094,20,2,10
1746605452.7719502,20,2,10
1746605474.369097,20,2,10
1746605498.4908662,20,2,10
1746605522.6014705,20,2,10
1746605544.1472075,20,2,10
1746605567.973098,20,2,10
1746605591.8208883,20,2,10
1746605613.31391,20,2,10
1746605637.1722226,20,2,10
1746605661.3166249,20,2,10
1746605683.7348146,20,2,10
1746605707.874775,20,2,10
1746605732.100888,20,2,10
1746605756.014691,20,2,10
1746605780.1171975,20,2,10
1746605801.737922,20,2,10
1746605825.6258054,20,2,10
1746605849.3324673,20,2,10
1746605873.2722135,20,2,10
1746605897.152692,20,2,10
1746605918.8657808,20,2,10
1746605942.724253,20,2,10
1746605965.2935138,20,2,10
1746605988.243385,20,2,10
1746606010.1393292,20,2,10
1746606032.5820706,20,2,10
1746606056.3612413,20,2,10
1746606078.7753458,20,2,10
1746606101.2929564,20,2,10
1746606124.6113925,20,2,10
1746606147.800194,20,2,10
1746606170.1755204,20,2,10
1746606192.5252872,20,2,10
1746606216.4251068,20,1,5
1746606233.6700227,20,1,5
1746606250.8153577,20,1,5
1746606268.7926092,20,1,5
1746606285.837629,20,1,5
1746606302.6772766,20,1,5
1746606319.6949198,20,1,5
1746606337.9234548,20,1,5
1746606354.9954555,20,1,5
1746606372.008177,20,1,5
1746606387.9664714,20,1,5
1746606403.801771,20,1,5
1746606420.4153786,20,1,5
1746606435.6412628,20,1,5
1746606450.746127,20,1,5
1746606466.3689992,20,1,5
1746606482.7684937,20,1,5
1746606500.3666928,20,1,5
1746606516.4080822,20,1,5
1746606532.404151,20,1,5
1746606548.4605188,20,1,5
1746606564.5036247,20,1,5
1746606580.784298,20,1,5
1746606597.443337,20,1,5
1746606614.6919322,20,1,5
1746606631.3648624,20,1,5
1746606647.6972702,20,1,5
1746606664.1989179,20,1,5
1746606679.2335992,20,1,5
1746606694.1277022,20,1,5
1746606709.1419637,20,1,5
1746606724.5609982,20,1,5
1746606741.5089078,20,1,5
1746606758.366226,20,1,5
1746606775.0220528,20,1,5
1746606791.7213855,20,1,5
1746606808.457724,20,1,5
1746606825.034704,20,1,5
1746606842.7884815,20,1,5
1746606860.025764,20,1,5
1746606876.6682658,20,1,5
1746606893.3865073,20,1,5
1746606909.9346778,20,1,5
1746606926.7606905,20,1,5
1746606943.5688088,20,1,5
1746606960.5154219,20,1,5
1746606977.4733403,20,1,5
1746606994.6987128,20,1,5
1746607012.4224913,20,1,5
1746607029.864436,20,1,5
1746607047.2271073,20,1,5
1746607064.849253,20,1,5
1746607081.141313,20,1,5
1746607098.5121403,20,1,5
1746607116.5482035,20,1,5
1746607134.2231915,20,1,5
1746607151.6595688,20,1,5
1746607169.2063007,20,1,5
1746607185.3511918,20,1,5
1746607202.9364057,20,1,5
1746607220.2891068,20,1,5
1746607237.5899177,20,1,5
1746607255.2579648,20,1,5
1746607271.818853,20,1,5
1746607290.017057,20,1,5
1746607307.350921,20,1,5
1746607324.6847286,20,1,5
1746607340.7677672,20,1,5
1746607358.2001443,20,1,5
1746607375.8439941,20,1,5
1746607393.9509628,20,1,5
1746607410.1128156,20,1,5
1746607427.8094773,20,1,5
1746607445.273306,20,1,5
1746607461.4473183,20,1,5
1746607478.9259872,20,1,5
1746607496.377378,20,1,5
1746607512.470428,20,1,5
1746607529.9545038,20,1,5
1746607547.5351088,20,1,5
1746607563.9696777,20,1,5
1746607581.644958,20,1,5
1746607599.2835476,20,1,5
1746607615.4785903,20,1,5
1746607633.0833278,20,1,5
1746607649.232871,20,1,5
1746607667.3522859,20,1,5
1746607685.2719526,20,1,5
1746607701.544856,20,1,5
1746607719.2955182,20,1,5
1746607735.5593405,20,1,5
1746607753.3104084,20,1,5
1746607771.2052898,20,1,5
1746607787.6425517,20,1,5
1746607805.5126743,20,1,5
1746607821.7620616,20,1,5
1746607839.8713586,20,1,5
1746607856.2645688,20,1,5
1746607874.008979,20,1,5
1746607890.1229763,20,1,5
1746607907.8817854,20,1,5
1746607924.251233,20,1,5
1746607942.0121498,20,1,5
1746607958.4534526,20,1,5
1746607975.934747,20,1,5
1746607992.082162,20,1,5
1746608009.95532,20,1,5
1746608026.3989608,20,1,5
1746608045.0129793,20,1,5
1746608061.496328,20,1,5
1746608079.7362313,20,1,5
1746608096.3767915,20,1,5
1746608112.9682274,20,1,5
1746608131.0972595,20,1,5
1746608147.6751075,20,1,5
1746608165.6854312,20,1,5
1746608181.940986,20,1,5
1746608200.0101156,20,1,5
1746608216.3371184,20,1,5
1746608232.7298017,20,1,5
1746608250.7080152,20,1,5
1746608267.5405557,20,1,5
1746608285.8405564,20,1,5
1746608302.1244996,20,1,5
1746608318.4952059,20,1,5
1746608336.5154095,20,1,5
1746608352.7261994,20,1,5
1746608369.018457,20,1,5
1746608387.0597944,20,1,5
1746608403.3093355,20,1,5
1746608419.6189892,20,1,5
1746608437.7684543,20,1,5
1746608454.302661,20,1,5
1746608472.6745286,20,1,5
1746608489.1001751,20,1,5
1746608505.7823777,20,1,5
1746608524.1700344,20,1,5
1746608541.1157062,20,1,5
1746608557.8494139,20,1,5
1746608574.5742574,20,1,5
1746608592.939102,20,1,5
1746608609.5499282,20,1,5
1746608626.0400765,20,1,5
1746608645.0692272,20,1,5
1746608661.7940357,20,1,5
1746608678.4077473,20,1,5
1746608696.975395,20,1,5
1746608713.733191,20,1,5
1746608730.4726675,20,1,5
1746608749.1083016,20,1,5
1746608765.8317795,20,1,5
1746608782.5769343,20,1,5
1746608799.0984898,20,1,5
1746608817.9474008,20,1,5
1746608834.7984571,20,1,5
1746608851.6049504,20,1,5
1746608868.2958148,20,1,5
1746608887.0384731,20,1,5
1746608903.760602,20,1,5
1746608920.5107725,20,1,5
1746608937.2828717,20,1,5
1746608955.609794,20,1,5
1746608971.767599,20,1,5
1746608988.2493277,20,1,5
1746609004.6621006,20,1,5
1746609021.415041,20,1,5
1746609040.302285,20,1,5
1746609056.9328961,20,1,5
1746609073.7758706,20,1,5
1746609090.690124,20,1,5
1746609107.596115,20,1,5
1746609126.2606745,20,1,5
1746609142.91459,20,1,5
1746609159.625895,20,1,5
1746609176.5687807,20,1,5
1746609193.6291032,20,1,5
1746609212.8182805,20,1,5
1746609229.572107,20,1,5
1746609246.36551,20,1,5
1746609263.041623,20,1,5
1746609279.9160204,20,1,5
1746609299.0894728,20,1,5
1746609315.8520274,20,1,5
1746609332.6352427,20,1,5
1746609349.4024684,20,1,5
1746609366.352226,20,1,5
1746609383.2742527,20,1,5
1746609400.1947832,20,1,5
1746609419.192063,20,1,5
1746609435.3855708,20,1,5
1746609451.5487037,20,1,5
1746609467.7286148,20,1,5
1746609484.1955774,20,1,5
1746609500.3762722,20,1,5
1746609516.1843846,20,1,5
1746609534.9423718,20,1,5
1746609551.6319938,20,1,5
1746609568.3166451,20,1,5
1746609585.0323956,20,1,5
1746609601.9671726,20,1,5
1746609618.6269493,20,1,5
1746609635.430911,20,1,5
1746609652.2897859,20,1,5
1746609671.0706096,20,1,5
1746609687.6457164,20,1,5
1746609704.1728663,20,1,5
1746609720.9699326,20,1,5
1746609737.982073,20,1,5
1746609755.006698,20,1,5
1746609771.9403389,20,1,5
1746609789.0751112,20,1,5
1746609806.0458188,20,1,5
1746609822.9409966,20,1,5
1746609840.040177,20,1,5
1746609878.7657647,20,0,0
1746612439.948583,20,0,0
1746612440.64361,20,0,0
1746612443.0833366,20,1,5
1746612454.9360774,20,1,5
1746614421.5096545,20,1,5
1746614422.4704463,20,1,5
1746614424.5377102,20,2,10
1746614426.4888391,20,2,10
1746614447.6058404,20,1,5
1746614447.7797925,20,1,5
1746616700.2996182,20,1,5
1746616701.2217004,20,1,5
1746616703.4642136,20,2,10
1746616720.9213245,20,2,10
1746618488.1349316,20,2,10
1746618488.9529552,20,2,10
1746618491.0684814,20,3,15
1746618500.3470535,20,3,15
1746618520.791096,20,2,10
1746618520.9653702,20,2,10
1746620687.0137718,20,2,10
1746620687.7682307,20,2,10
1746620689.6848817,20,3,15
1746620714.8630712,20,3,15
1746622796.923744,20,3,15
1746622797.6722963,20,3,15
1746622799.6243877,20,4,20
1746622815.5380256,20,4,20
1746622833.615188,20,3,15
1746622855.3465781,20,2,10
1746622855.5245428,20,2,10
1746624803.1075623,20,2,10
1746624803.8078568,20,2,10
1746624805.6062784,20,3,15
1746624831.3846545,20,3,15
1746626788.1047728,20,3,15
1746626788.6403565,20,3,15
1746626790.3081498,20,4,20
1746626806.173798,20,4,20
1746626820.8649669,20,3,15
1746626838.8600116,20,2,10
1746626839.0285504,20,2,10
1746628908.3331838,20,2,10
1746628909.4823928,20,2,10
1746628911.533474,20,3,15
1746628935.940432,20,3,15
1746630993.1363435,20,3,15
1746630993.8849516,20,3,15
1746630995.7529655,20,4,20
1746631011.7375007,20,4,20
1746631028.7716792,20,3,15
1746631047.946935,20,2,10
1746631048.1019566,20,2,10
1746632858.2571733,20,2,10
1746632858.9977489,20,2,10
1746632860.8600843,20,3,15
1746632884.2841663,20,3,15
1746635090.7186468,20,3,15
1746635091.484896,20,3,15
1746635093.5214438,20,4,20
1746635109.6879487,20,4,20
1746635126.012271,20,3,15
1746635144.2630525,20,2,10
1746635144.4108639,20,2,10
1746637192.516505,20,2,10
1746637193.391276,20,2,10
1746637195.4487433,20,3,15
1746637217.9332464,20,3,15
1746639185.6185055,20,3,15
1746639186.4417286,20,3,15
1746639188.565685,20,4,20
1746639204.5747163,20,4,20
1746639235.7094874,20,3,15
1746639235.903763,20,3,15
1746640751.1414502,20,3,15
1746640751.8316011,20,3,15
1746640753.6283605,20,4,20
1746640767.045298,20,4,20
1746640785.063581,20,3,15
1746640785.2557046,20,3,15
1746642602.586829,20,3,15
1746642603.3802912,20,3,15
1746642605.3653579,20,4,20
1746642621.1846888,20,4,20
1746642653.178961,20,3,15
1746642653.357089,20,3,15
1746644368.5082264,20,3,15
1746644369.158931,20,3,15
1746644371.1593125,20,4,20
1746644382.0850942,20,4,20
1746644400.1124706,20,3,15
1746644400.2907126,20,3,15
1746646460.1893115,20,3,15
1746646460.956888,20,3,15
1746646463.5741189,20,4,20
1746646479.4327745,20,4,20
1746646496.8797693,20,3,15
1746646515.7959232,20,2,10
1746646515.9579551,20,2,10
1746648476.257556,20,2,10
1746648476.697707,20,2,10
1746648478.3674088,20,3,15
1746648494.0312827,20,3,15
1746648517.5322783,20,2,10
1746648517.8600962,20,2,10
1746650153.7573855,20,2,10
1746650154.2435865,20,2,10
1746650156.1844387,20,3,15
1746650176.663543,20,3,15
1746650198.3914497,20,3,15
1746650215.01835,20,3,15
1746650226.60039,20,2,10
1746650226.8741012,20,2,10
1746650247.34229,20,2,10
1746650268.5274038,20,2,10
1746650288.408457,20,2,10
1746650308.0930362,20,2,10
1746650330.3122163,20,2,10
1746650350.7674274,20,2,10
1746650372.17124,20,2,10
1746650393.3867345,20,2,10
1746650413.2875686,20,2,10
1746650433.0239205,20,2,10
1746650453.197751,20,2,10
1746650472.9819064,20,2,10
1746650493.7876115,20,2,10
1746650514.3678718,20,2,10
1746650534.8851216,20,2,10
1746650555.2957742,20,2,10
1746650575.9222658,20,2,10
1746650596.9282334,20,2,10
1746650616.921871,20,2,10
1746650637.5003521,20,2,10
1746650658.5500736,20,2,10
1746650679.041096,20,2,10
1746650700.8494248,20,2,10
1746650722.206346,20,2,10
1746650743.30963,20,2,10
1746650763.58173,20,2,10
1746650784.9583547,20,2,10
1746650806.1947505,20,2,10
1746650827.4651206,20,2,10
1746650847.582425,20,2,10
1746650868.654737,20,2,10
1746650888.7354481,20,2,10
1746650909.5282798,20,2,10
1746650931.052526,20,2,10
1746650950.8727922,20,2,10
1746650971.7373245,20,2,10
1746650992.0455809,20,2,10
1746651013.61874,20,2,10
1746651033.7745872,20,2,10
1746651055.1760917,20,2,10
1746651075.478759,20,2,10
1746651096.448034,20,2,10
1746651116.6641247,20,2,10
1746651138.4914079,20,2,10
1746651159.1525202,20,2,10
1746651180.0765378,20,2,10
1746651202.478878,20,2,10
1746651223.4391003,20,2,10
1746651243.7394922,20,2,10
1746651265.1706066,20,2,10
1746651285.0251997,20,2,10
1746651305.5711963,20,2,10
1746651327.1363506,20,2,10
1746651347.612808,20,2,10
1746651367.9410622,20,2,10
1746651388.5088522,20,2,10
1746651410.6867354,20,2,10
1746651431.3136883,20,2,10
1746651452.141684,20,2,10
1746651473.127008,20,2,10
1746651493.8538837,20,2,10
1746651514.7463484,20,2,10
1746651537.1522334,20,2,10
1746651557.7139716,20,2,10
1746651578.379344,20,2,10
1746651598.409581,20,2,10
1746651617.9410856,20,2,10
1746651637.0022085,20,2,10
1746651656.6225011,20,2,10
1746651676.0618193,20,2,10
1746651696.5637412,20,2,10
1746651717.1354482,20,2,10
1746651737.4984066,20,2,10
1746651757.761618,20,2,10
1746651777.9091988,20,2,10
1746651798.5129268,20,2,10
1746651819.0065756,20,2,10
1746651840.1255975,20,2,10
1746651860.917517,20,2,10
1746651882.0011282,20,2,10
1746651900.060433,20,2,10
1746651920.3528202,20,2,10
1746651940.966204,20,2,10
1746651961.9784229,20,2,10
1746651982.9353347,20,2,10
1746652003.9337611,20,2,10
1746652025.468043,20,2,10
1746652046.7021697,20,2,10
1746652067.8401365,20,2,10
1746652089.303548,20,2,10
1746652110.5691907,20,2,10
1746652130.0488694,20,2,10
1746652150.7997994,20,2,10
1746652171.7643433,20,2,10
1746652192.761928,20,2,10
1746652213.8744624,20,2,10
1746652234.944909,20,2,10
1746652255.9222128,20,2,10
1746652275.4017186,20,2,10
1746652296.0082273,20,2,10
1746652317.6670973,20,2,10
1746652339.0254154,20,2,10
1746652359.2060988,20,2,10
1746652380.4800007,20,2,10
1746652401.4620235,20,2,10
1746652422.3622475,20,2,10
1746652443.5764732,20,2,10
1746652463.0854847,20,2,10
1746652484.475859,20,2,10
1746652505.9020452,20,2,10
1746652527.6838748,20,2,10
1746652547.656562,20,2,10
1746652569.0870125,20,2,10
1746652590.721354,20,2,10
1746652610.3069293,20,2,10
1746652631.4846995,20,2,10
1746652652.423109,20,2,10
1746652673.5696492,20,2,10
1746652692.6473148,20,2,10
1746652714.4025202,20,2,10
1746652736.1623237,20,2,10
1746652755.791239,20,2,10
1746652777.260856,20,2,10
1746652798.27521,20,2,10
1746652817.8854258,20,2,10
1746652838.5885563,20,2,10
1746652860.1289566,20,2,10
1746652879.690917,20,2,10
1746652900.9518008,20,2,10
1746652921.5349538,20,2,10
1746652942.8405466,20,2,10
1746652964.4811826,20,2,10
1746652984.449463,20,2,10
1746653006.2222195,20,2,10
1746653027.606298,20,2,10
1746653049.2121577,20,2,10
1746653070.8486032,20,2,10
1746653090.7035751,20,2,10
1746653112.7098222,20,2,10
1746653132.9809785,20,2,10
1746653153.1293037,20,2,10
1746653172.6376169,20,2,10
1746653192.8808477,20,2,10
1746653213.628256,20,2,10
1746653233.9168804,20,2,10
1746653255.0157807,20,2,10
1746653275.426992,20,2,10
1746653296.344727,20,2,10
1746653316.1500995,20,2,10
1746653337.7457922,20,2,10
1746653357.9476304,20,2,10
1746653378.6131613,20,2,10
1746653398.6560423,20,2,10
1746653419.468492,20,2,10
1746653440.4369712,20,2,10
1746653460.35089,20,2,10
1746653481.3333085,20,2,10
1746653501.6416893,20,2,10
1746653522.0506225,20,2,10
1746653543.0128229,20,2,10
1746653563.306942,20,2,10
1746653584.2704818,20,2,10
1746653605.040062,20,2,10
1746653626.0007327,20,2,10
1746653645.985297,20,2,10
1746653666.5644963,20,2,10
1746653687.4104927,20,2,10
1746653708.904701,20,2,10
1746653730.0581808,20,2,10
1746653750.4763165,20,2,10
1746653770.8630698,20,2,10
1746653791.3003747,20,2,10
1746653811.5606792,20,2,10
1746653831.9161382,20,2,10
1746653851.7039673,20,2,10
1746653871.9932094,20,2,10
1746653892.3937252,20,2,10
1746653913.0815642,20,2,10
1746653933.9418573,20,2,10
1746653954.218591,20,2,10
1746653973.7868955,20,2,10
1746653993.8800225,20,2,10
1746654013.9981923,20,1,5
1746654028.7801826,20,1,5
1746654044.4733024,20,1,5
1746654060.0734968,20,1,5
1746654075.3823986,20,1,5
1746654090.4018834,20,1,5
1746654105.9665797,20,1,5
1746654121.8913963,20,1,5
1746654136.9796295,20,1,5
1746654153.1892893,20,1,5
1746654169.2156692,20,1,5
1746654185.04224,20,1,5
1746654200.7908583,20,1,5
1746654216.8196633,20,1,5
1746654231.2365146,20,1,5
1746654247.1585,20,1,5
1746654263.4448307,20,1,5
1746654279.5823984,20,1,5
1746654295.517663,20,1,5
1746654309.9295976,20,1,5
1746654324.7923026,20,1,5
1746654339.6852396,20,1,5
1746654355.2709625,20,1,5
1746654371.5626416,20,1,5
1746654387.7576659,20,1,5
1746654403.8591976,20,1,5
1746654419.926392,20,1,5
1746654434.60931,20,1,5
1746654450.6948047,20,1,5
1746654466.8750186,20,1,5
1746654481.6180274,20,1,5
1746654498.009111,20,1,5
1746654514.2506557,20,1,5
1746654529.4344573,20,1,5
1746654545.72414,20,1,5
1746654561.709027,20,1,5
1746654576.5471754,20,1,5
1746654592.6284938,20,1,5
1746654608.6410992,20,1,5
1746654623.7874308,20,1,5
1746654639.8622332,20,1,5
1746654654.3964324,20,1,5
1746654669.8763716,20,1,5
1746654684.9749746,20,1,5
1746654699.3080032,20,1,5
1746654715.136018,20,1,5
1746654729.6002192,20,1,5
1746654745.388948,20,1,5
1746654761.8332038,20,1,5
1746654777.408828,20,1,5
1746654793.791337,20,1,5
1746654808.7688901,20,1,5
1746654825.0167398,20,1,5
1746654839.887757,20,1,5
1746654856.1060247,20,1,5
1746654871.4019039,20,1,5
1746654887.452537,20,1,5
1746654902.1798823,20,1,5
1746654918.1373944,20,1,5
1746654932.9788172,20,1,5
1746654949.075549,20,1,5
1746654963.9215055,20,1,5
1746654980.4057148,20,1,5
1746654995.5534403,20,1,5
1746655012.5301728,20,1,5
1746655027.9136279,20,1,5
1746655044.5746732,20,1,5
1746655059.9122274,20,1,5
1746655076.7407086,20,1,5
1746655092.1286666,20,1,5
1746655108.776158,20,1,5
1746655124.1215878,20,1,5
1746655140.9773138,20,1,5
1746655156.157018,20,1,5
1746655171.124931,20,1,5
1746655186.9578114,20,1,5
1746655201.9350011,20,1,5
1746655220.42327,20,1,5
1746655237.4727786,20,1,5
1746655254.2657647,20,1,5
1746655272.5820622,20,1,5
1746655289.297905,20,1,5
1746655305.9226823,20,1,5
1746655324.1283853,20,1,5
1746655340.5510008,20,1,5
1746655358.86533,20,1,5
1746655375.3690462,20,1,5
1746655391.899349,20,1,5
1746655410.186547,20,1,5
1746655426.367739,20,1,5
1746655442.6993496,20,1,5
1746655460.8910275,20,1,5
1746655477.317387,20,1,5
1746655493.8788059,20,1,5
1746655512.6368608,20,1,5
1746655528.9572034,20,1,5
1746655545.3129835,20,1,5
1746655563.3411627,20,1,5
1746655579.9703603,20,1,5
1746655596.7548287,20,1,5
1746655613.280867,20,1,5
1746655631.7900395,20,1,5
1746655648.4069412,20,1,5
1746655665.4821155,20,1,5
1746655685.056572,20,1,5
1746655701.939078,20,1,5
1746655718.6919594,20,1,5
1746655735.4127607,20,1,5
1746655754.149527,20,1,5
1746655770.9137216,20,1,5
1746655788.1733873,20,1,5
1746655805.1515605,20,1,5
1746655842.4186943,20,0,0
1746657233.632898,20,0,0
1746657234.3037283,20,0,0
1746657237.8014526,20,1,5
1746657249.9624546,20,1,5
1746658680.4951751,20,1,5
1746658681.3962483,20,1,5
1746658683.4476764,20,2,10
1746658701.7130885,20,2,10
1746660174.5038218,20,2,10
1746660175.4607933,20,2,10
1746660177.545486,20,3,15
1746660184.4233556,20,3,15
1746660203.9097273,20,2,10
1746660204.0796127,20,2,10
1746662388.255083,20,2,10
1746662389.0194585,20,2,10
1746662390.9393208,20,3,15
1746662415.8948212,20,3,15
1746664489.5419042,20,3,15
1746664490.4584675,20,3,15
1746664492.536674,20,4,20
1746664508.422507,20,4,20
1746664524.8543417,20,3,15
1746664545.4205494,20,2,10
1746664545.6015666,20,2,10
1746666732.8176084,20,2,10
1746666733.5282586,20,2,10
1746666735.5408018,20,3,15
1746666760.9019868,20,3,15
1746668724.973175,20,3,15
1746668725.677449,20,3,15
1746668727.5655882,20,4,20
1746668743.4273984,20,4,20
1746668761.7512646,20,3,15
1746668769.6293874,20,2,10
1746668784.7590466,20,1,5
1746668784.9166713,20,1,5
1746670626.742014,20,1,5
1746670627.446349,20,1,5
1746670629.5155306,20,2,10
1746670646.2345648,20,2,10
1746672175.3155024,20,2,10
1746672176.3290586,20,2,10
1746672178.536809,20,3,15
1746672194.428315,20,3,15
1746672222.660801,20,2,10
1746672222.9105453,20,2,10
1746673639.5812535,20,2,10
1746673640.3815114,20,2,10
1746673642.4822607,20,3,15
1746673668.1757855,20,3,15
1746675136.3723397,20,3,15
1746675137.3933778,20,3,15
1746675139.4737644,20,4,20
1746675169.5699542,20,4,20
1746676836.0661972,20,4,20
1746676836.801093,20,4,20
1746676838.6175375,20,5,25
1746676874.2825048,20,5,25
1746678208.5617204,20,5,25
1746678209.4413671,20,5,25
1746678211.5212708,20,6,30
1746678227.4451842,20,6,30
1746678254.8868809,20,5,25
1746678274.7386818,20,4,20
1746678274.8671982,20,4,20
1746680133.1768293,20,4,20
1746680133.8680778,20,4,20
1746680135.6801982,20,5,25
1746680151.463858,20,5,25
1746680188.3424323,20,4,20
1746680188.527763,20,4,20
1746681944.8967957,20,4,20
1746681945.6615093,20,4,20
1746681947.5204449,20,5,25
1746681963.395229,20,5,25
1746681987.2905533,20,4,20
1746681995.097148,20,3,15
1746682009.9812,20,2,10
1746682010.1202416,20,2,10
1746683703.2925177,20,2,10
1746683704.2265432,20,2,10
1746683706.3546965,20,3,15
1746683722.2083962,20,3,15
1746683748.5755973,20,2,10
1746683748.9161785,20,2,10
1746685897.5702944,20,2,10
1746685898.4123285,20,2,10
1746685900.5371928,20,3,15
1746685916.5270565,20,3,15
1746685928.5814335,20,2,10
1746685946.9118953,20,1,5
1746685947.0569925,20,1,5
1746687843.0243037,20,1,5
1746687843.6196663,20,1,5
1746687845.3924537,20,2,10
1746687862.8814864,20,2,10
1746689934.910671,20,2,10
1746689935.6176617,20,2,10
1746689937.4652526,20,3,15
1746689944.3070798,20,3,15
1746689964.6215813,20,2,10
1746689964.753474,20,2,10
1746691864.497149,20,2,10
1746691865.409105,20,2,10
1746691867.4250178,20,3,15
1746691893.2991219,20,3,15
1746691905.9026215,20,3,15
1746691918.8471758,20,2,10
1746691920.3855672,20,2,10
1746691944.0998673,20,2,10
1746691968.1447647,20,2,10
1746691991.8665576,20,2,10
1746692013.1021452,20,2,10
1746692036.1273656,20,2,10
1746692059.4669995,20,2,10
1746692082.415376,20,2,10
1746692106.439434,20,2,10
1746692130.4050376,20,2,10
1746692152.1547701,20,2,10
1746692176.0665166,20,2,10
1746692198.482211,20,2,10
1746692221.4275305,20,2,10
1746692244.8840413,20,2,10
1746692267.021379,20,2,10
1746692290.011596,20,2,10
1746692311.8387988,20,2,10
1746692334.403419,20,2,10
1746692357.0602918,20,2,10
1746692379.4469888,20,2,10
1746692403.237576,20,2,10
1746692425.8779013,20,2,10
1746692448.2725146,20,2,10
1746692471.557393,20,2,10
1746692493.7782526,20,2,10
1746692516.5979836,20,2,10
1746692539.6593244,20,2,10
1746692561.9715374,20,2,10
1746692585.5589075,20,2,10
1746692607.9401531,20,2,10
1746692630.1175416,20,2,10
1746692653.531786,20,2,10
1746692675.8810601,20,2,10
1746692698.5099945,20,2,10
1746692721.6635113,20,2,10
1746692743.7202058,20,2,10
1746692765.652618,20,2,10
1746692788.4537718,20,2,10
1746692812.2135623,20,2,10
1746692834.7964299,20,2,10
1746692857.4364622,20,2,10
1746692880.2961183,20,2,10
1746692902.8351169,20,2,10
1746692926.6971464,20,2,10
1746692949.310221,20,2,10
1746692972.5181527,20,2,10
1746692995.1507738,20,2,10
1746693017.9844112,20,2,10
1746693040.7414644,20,2,10
1746693063.7121792,20,2,10
1746693086.8449237,20,2,10
1746693109.6349392,20,2,10
1746693132.4701397,20,2,10
1746693155.043828,20,2,10
1746693177.6980362,20,2,10
1746693200.4180593,20,2,10
1746693223.4521,20,2,10
1746693247.2142303,20,2,10
1746693270.3235276,20,2,10
1746693293.3077905,20,2,10
1746693315.3547084,20,2,10
1746693338.5212748,20,2,10
1746693361.8791692,20,2,10
1746693384.97452,20,2,10
1746693406.981844,20,2,10
1746693428.5809329,20,2,10
1746693448.359817,20,1,5
1746693448.622063,20,1,5
1746693465.1065464,20,1,5
1746693481.0928898,20,1,5
1746693497.493859,20,1,5
1746693512.652091,20,1,5
1746693528.8780887,20,1,5
1746693545.1552072,20,1,5
1746693561.3467386,20,1,5
1746693576.7115874,20,1,5
1746693592.8392467,20,1,5
1746693609.4329019,20,1,5
1746693626.3149972,20,1,5
1746693642.5947654,20,1,5
1746693660.2775137,20,1,5
1746693677.8400326,20,1,5
1746693694.1548653,20,1,5
1746693711.7664623,20,1,5
1746693729.5282469,20,1,5
1746693746.0945356,20,1,5
1746693763.5205984,20,1,5
1746693780.95692,20,1,5
1746693796.807186,20,1,5
1746693814.411559,20,1,5
1746693832.1983955,20,1,5
1746693848.535801,20,1,5
1746693866.2818897,20,1,5
1746693882.574566,20,1,5
1746693900.2954273,20,1,5
1746693918.5197735,20,1,5
1746693934.6929538,20,1,5
1746693952.374467,20,1,5
1746693968.480864,20,1,5
1746693985.8957925,20,1,5
1746694002.039011,20,1,5
1746694020.2739422,20,1,5
1746694038.3540432,20,1,5
1746694054.8870173,20,1,5
1746694072.8686905,20,1,5
1746694089.1192765,20,1,5
1746694107.0859563,20,1,5
1746694123.2910497,20,1,5
1746694141.1467412,20,1,5
1746694157.470282,20,1,5
1746694175.3833067,20,1,5
1746694192.0656567,20,1,5
1746694209.436067,20,1,5
1746694224.3500497,20,1,5
1746694240.4839902,20,1,5
1746694256.411412,20,1,5
1746694273.9976768,20,1,5
1746694290.8271954,20,1,5
1746694309.0832162,20,1,5
1746694325.6857462,20,1,5
1746694344.0203314,20,1,5
1746694360.5980825,20,1,5
1746694377.027729,20,1,5
1746694394.6823955,20,1,5
1746694410.6934848,20,1,5
1746694428.7362502,20,1,5
1746694445.0787792,20,1,5
1746694463.4180179,20,1,5
1746694480.1795924,20,1,5
1746694496.8778908,20,1,5
1746694515.4675398,20,1,5
1746694532.2266145,20,1,5
1746694548.928321,20,1,5
1746694567.6512218,20,1,5
1746694584.4985676,20,1,5
1746694603.3112326,20,1,5
1746694620.0047708,20,1,5
1746694637.073321,20,1,5
1746694655.7278879,20,1,5
1746694672.548515,20,1,5
1746694689.3442745,20,1,5
1746694708.0127206,20,1,5
1746694724.5994775,20,1,5
1746694741.4341655,20,1,5
1746694760.709964,20,1,5
1746694777.4794,20,1,5
1746694794.4319365,20,1,5
1746694813.2411375,20,1,5
1746694830.038,20,1,5
1746694846.8785393,20,1,5
1746694864.2304544,20,1,5
1746694883.1636806,20,1,5
1746694900.1664686,20,1,5
1746694917.1295903,20,1,5
1746694936.1614063,20,1,5
1746694952.9936259,20,1,5
1746694969.996778,20,1,5
1746694986.8435106,20,1,5
1746695005.4951446,20,1,5
1746695022.4004552,20,1,5
1746695039.6352868,20,1,5
1746695056.4485304,20,1,5
1746695075.4188385,20,1,5
1746695092.3129582,20,1,5
1746695109.1276784,20,1,5
1746695125.9294884,20,1,5
1746695145.3411777,20,1,5
1746695162.39403,20,1,5
1746695179.4152763,20,1,5
1746695196.4485452,20,1,5
1746695217.8500373,20,1,5
1746695235.1361153,20,1,5
1746695251.9273577,20,1,5
1746695268.6581008,20,1,5
1746695287.3782072,20,1,5
1746695304.101048,20,1,5
1746695321.205121,20,1,5
1746695338.3447297,20,1,5
1746695355.2138941,20,1,5
1746695374.2713454,20,1,5
1746695391.3593402,20,1,5
1746695408.4514015,20,1,5
1746695425.5288444,20,1,5
1746695442.6334696,20,1,5
1746695459.9010732,20,1,5
1746695478.998683,20,1,5
1746695496.188988,20,1,5
1746695513.2368298,20,1,5
1746695530.4343402,20,1,5
1746695547.2082565,20,1,5
1746695566.2979684,20,1,5
1746695583.350704,20,1,5
1746695600.4220634,20,1,5
1746695617.6586022,20,1,5
1746695635.034238,20,1,5
1746695652.1241014,20,1,5
1746695669.3107202,20,1,5
1746695688.5661333,20,1,5
1746695705.6455586,20,1,5
1746695722.7982378,20,1,5
1746695739.8853421,20,1,5
1746695756.767506,20,1,5
1746695773.734604,20,1,5
1746695790.832938,20,1,5
1746695810.1795273,20,1,5
1746695827.2428536,20,1,5
1746695844.2493134,20,1,5
1746695861.375545,20,1,5
1746695878.5870645,20,1,5
1746695895.5126705,20,1,5
1746695912.4874883,20,1,5
1746695929.0568986,20,1,5
1746695947.8015857,20,1,5
1746695964.5581908,20,1,5
1746695981.0025535,20,1,5
1746695998.02278,20,1,5
1746696015.068705,20,1,5
1746696031.9580622,20,1,5
1746696048.6271842,20,1,5
1746696067.3845568,20,1,5
1746696084.105532,20,1,5
1746696101.2483597,20,1,5
1746696118.1306224,20,1,5
1746696136.871231,20,1,5
1746696153.7442522,20,1,5
1746696170.750342,20,1,5
1746696187.9210684,20,1,5
1746696206.9675593,20,1,5
1746696224.0750513,20,1,5
1746696241.039111,20,1,5
1746696258.0436099,20,1,5
1746696274.8868473,20,1,5
1746696294.2052507,20,1,5
1746696311.289933,20,1,5
1746696328.1872199,20,1,5
1746696344.8538668,20,1,5
1746696362.4721158,20,1,5
1746696379.3636281,20,1,5
1746696396.1591582,20,1,5
1746696413.7378695,20,1,5
1746696430.4363875,20,1,5
1746696447.9844875,20,1,5
1746696464.8383408,20,1,5
1746696481.7511153,20,1,5
1746696499.9112,20,1,5
1746696516.7656202,20,1,5
1746696533.5096097,20,1,5
1746696551.4578226,20,1,5
1746696568.2628357,20,1,5
1746696585.2206168,20,1,5
1746696603.576453,20,1,5
1746696620.5142303,20,1,5
1746696637.5020268,20,1,5
1746696654.4220526,20,1,5
1746696672.3450198,20,1,5
1746696689.2831182,20,1,5
1746696706.484826,20,1,5
1746696723.6473262,20,1,5
1746696741.8427432,20,1,5
1746696758.8365793,20,1,5
1746696775.6427748,20,1,5
1746696792.6305046,20,1,5
1746696810.6328418,20,1,5
1746696827.4670577,20,1,5
1746696844.4668837,20,1,5
1746696862.3987417,20,1,5
1746696879.547219,20,1,5
1746696897.101336,20,1,5
1746696914.2633917,20,1,5
1746696930.706271,20,1,5
1746696946.9860432,20,1,5
1746696963.897979,20,1,5
1746696979.4612281,20,1,5
1746696996.7214909,20,1,5
1746697014.1482425,20,1,5
1746697033.1042852,20,1,5
1746697050.500866,20,1,5
1746697067.5396302,20,1,5
1746697084.6026678,20,1,5
1746697101.5534859,20,1,5
1746697118.7703245,20,1,5
1746697135.9691803,20,1,5
1746697153.0572038,20,1,5
1746697171.7733674,20,1,5
1746697189.034104,20,1,5
1746697206.198451,20,1,5
1746697223.2929852,20,1,5
1746697240.3056033,20,1,5
1746697257.5822587,20,1,5
1746697275.2310574,20,1,5
1746697292.741431,20,1,5
1746697310.087429,20,1,5
1746697327.3425164,20,1,5
1746697344.7178142,20,1,5
1746697362.183151,20,1,5
1746697379.4680486,20,1,5
1746697396.614108,20,1,5
1746697413.8509881,20,1,5
1746697431.4842741,20,1,5
1746697448.9534225,20,1,5
1746697466.825211,20,1,5
1746697484.338144,20,1,5
1746697501.5422325,20,1,5
1746697518.8126268,20,1,5
1746697536.1350954,20,1,5
1746697553.481975,20,1,5
1746697571.0511155,20,1,5
1746697588.426711,20,1,5
1746697605.884383,20,1,5
1746697623.4849849,20,1,5
1746697660.3754396,20,0,0
1746699793.3320103,20,0,0
1746699794.0149314,20,0,0
1746699796.501402,20,1,5
1746699809.899417,20,1,5
1746701634.6736138,20,1,5
1746701635.436875,20,1,5
1746701637.5254223,20,2,10
1746701656.802369,20,2,10
1746703532.8063674,20,2,10
1746703533.572167,20,2,10
1746703535.4984934,20,3,15
1746703559.355587,20,3,15
1746705382.385002,20,3,15
1746705383.382089,20,3,15
1746705385.4197752,20,4,20
1746705404.6368208,20,4,20
1746705418.7846177,20,3,15
1746705418.9575133,20,3,15
1746707944.9487588,20,3,15
1746707945.631157,20,3,15
1746707947.5463178,20,4,20
1746707963.4184394,20,4,20
1746707996.8540983,20,3,15
1746707997.0188727,20,3,15
1746709858.4860146,20,3,15
1746709859.4794755,20,3,15
1746709861.4789836,20,4,20
1746709877.3548331,20,4,20
1746709912.603116,20,3,15
1746709912.7729282,20,3,15
1746712024.3449209,20,3,15
1746712025.3917537,20,3,15
1746712027.5012057,20,4,20
1746712043.358452,20,4,20
1746712078.0237434,20,3,15
1746712078.7999156,20,3,15
1746714736.7768626,20,3,15
1746714737.5558128,20,3,15
1746714739.5569756,20,4,20
1746714769.9498506,20,4,20
1746717335.4006846,20,4,20
1746717336.4060416,20,4,20
1746717340.5036266,20,5,25
1746717356.4610975,20,5,25
1746717382.1862748,20,4,20
1746717415.8081877,20,3,15
1746717415.994325,20,3,15
1746719577.3479865,20,3,15
1746719578.3686197,20,3,15
1746719580.4530053,20,4,20
1746719596.2614386,20,4,20
1746719629.6594968,20,3,15
1746719629.8315504,20,3,15
1746721815.9150271,20,3,15
1746721816.6284368,20,3,15
1746721818.4821143,20,4,20
1746721848.868723,20,4,20
1746724100.4022415,20,4,20
1746724101.3902185,20,4,20
1746724103.475895,20,5,25
1746724119.4480495,20,5,25
1746724150.0314047,20,4,20
1746724163.661146,20,3,15
1746724163.8380427,20,3,15
1746726251.4643595,20,3,15
1746726252.0246994,20,3,15
1746726253.7398758,20,4,20
1746726273.427834,20,4,20
1746726304.8495305,20,3,15
1746726305.048706,20,3,15
1746729013.1584487,20,3,15
1746729013.929618,20,3,15
1746729015.8269143,20,4,20
1746729031.745394,20,4,20
1746729050.3330767,20,3,15
1746729060.1697211,20,2,10
1746729074.6597474,20,1,5
1746729075.0796695,20,0,0
1746730937.7278848,20,0,0
1746730938.181191,20,0,0
1746730940.282176,20,1,5
1746730952.3085222,20,1,5
1746732220.9779077,20,1,5
1746732221.6497037,20,1,5
1746732223.359499,20,2,10
1746732239.8561072,20,2,10
1746733818.752126,20,2,10
1746733819.3069701,20,2,10
1746733821.2508807,20,3,15
1746733841.1774287,20,3,15
1746735245.9863636,20,3,15
1746735246.5016634,20,3,15
1746735248.2239125,20,4,20
1746735274.7117662,20,4,20
1746736570.3891587,20,4,20
1746736571.015543,20,4,20
1746736572.434889,20,5,25
1746736603.2590714,20,5,25
1746738372.2818174,20,5,25
1746738372.9320147,20,5,25
1746738374.663915,20,6,30
1746738390.5670798,20,6,30
1746738426.1792848,20,5,25
1746738439.2033918,20,4,20
1746738439.520285,20,4,20
1746738471.7830625,20,4,20
1746738508.4365523,20,4,20
1746738543.0227754,20,4,20
1746738579.6331325,20,4,20
1746738613.317205,20,4,20
1746738649.0177085,20,4,20
1746738684.367259,20,4,20
1746738721.321912,20,4,20
1746738755.9279692,20,4,20
1746738791.0323346,20,4,20
1746738825.7061543,20,4,20
1746738862.8081894,20,4,20
1746738898.2733953,20,4,20
1746738933.7878134,20,4,20
1746738968.7951248,20,4,20
1746739005.2825863,20,4,20
1746739040.3520288,20,4,20
1746739073.9017224,20,4,20
1746739107.9131224,20,4,20
1746739142.7526166,20,4,20
1746739178.3573472,20,4,20
1746739215.4492137,20,4,20
1746739250.8351111,20,4,20
1746739286.658857,20,4,20
1746739321.5231872,20,4,20
1746739357.2069955,20,4,20
1746739392.7148478,20,4,20
1746739428.0331492,20,4,20
1746739463.566495,20,4,20
1746739498.8837361,20,4,20
1746739534.1616096,20,4,20
1746739569.1374278,20,4,20
1746739603.9971344,20,4,20
1746739624.6383007,20,4,20
1746739657.7429013,20,3,15
1746739658.0347815,20,3,15
1746739686.9036813,20,3,15
1746739715.5176759,20,3,15
1746739746.7608352,20,3,15
1746739775.9281118,20,3,15
1746739805.3032837,20,3,15
1746739836.9364445,20,3,15
1746739865.9649656,20,3,15
1746739894.507393,20,3,15
1746739925.150258,20,3,15
1746739953.6499455,20,3,15
1746739984.2469954,20,3,15
1746740013.5892112,20,3,15
1746740044.7681572,20,3,15
1746740073.7158384,20,3,15
1746740104.6563263,20,3,15
1746740134.0109682,20,3,15
1746740163.3638992,20,3,15
1746740192.521778,20,3,15
1746740222.570924,20,3,15
1746740252.1015933,20,3,15
1746740280.5526464,20,3,15
1746740310.2738662,20,3,15
1746740339.162308,20,3,15
1746740366.5072875,20,3,15
1746740394.031441,20,3,15
1746740424.6535156,20,3,15
1746740453.5367415,20,3,15
1746740482.873342,20,3,15
1746740511.4693122,20,3,15
1746740540.793875,20,3,15
1746740568.3776278,20,3,15
1746740598.438099,20,3,15
1746740627.4151833,20,3,15
1746740657.9783094,20,3,15
1746740686.7125933,20,3,15
1746740717.182604,20,3,15
1746740743.813262,20,3,15
1746740772.5705726,20,3,15
1746740802.8312678,20,3,15
1746740832.4375124,20,3,15
1746740861.743519,20,3,15
1746740891.4822354,20,3,15
1746740920.9823742,20,3,15
1746740947.8128192,20,3,15
1746740974.1638436,20,3,15
1746741001.2771897,20,3,15
1746741029.2132275,20,3,15
1746741058.515048,20,3,15
1746741087.1957107,20,3,15
1746741115.5463562,20,3,15
1746741144.0154722,20,3,15
1746741173.4250283,20,3,15
1746741202.0654037,20,3,15
1746741229.9642513,20,3,15
1746741259.2924833,20,3,15
1746741289.5144293,20,3,15
1746741318.5217555,20,3,15
1746741348.5220118,20,3,15
1746741379.1247327,20,3,15
1746741408.8804047,20,3,15
1746741429.6491356,20,3,15
1746741457.804916,20,2,10
1746741458.1193516,20,2,10
1746741481.0033453,20,2,10
1746741505.4603624,20,2,10
1746741529.7261968,20,2,10
1746741552.532107,20,2,10
1746741577.400418,20,2,10
1746741600.3975844,20,2,10
1746741624.4061334,20,2,10
1746741646.966496,20,2,10
1746741670.8773944,20,2,10
1746741693.5957043,20,2,10
1746741718.4303608,20,2,10
1746741741.5128548,20,2,10
1746741764.906016,20,2,10
1746741789.2870593,20,2,10
1746741812.3194242,20,2,10
1746741836.9372537,20,2,10
1746741860.0148332,20,2,10
1746741883.4607544,20,2,10
1746741908.1511972,20,2,10
1746741931.0185015,20,2,10
1746741953.986402,20,2,10
1746741978.599335,20,2,10
1746742001.7245066,20,2,10
1746742025.2050893,20,2,10
1746742050.297306,20,2,10
1746742073.1310287,20,2,10
1746742095.8721962,20,2,10
1746742118.6786122,20,2,10
1746742141.3682733,20,2,10
1746742166.1496148,20,2,10
1746742189.972462,20,2,10
1746742213.466401,20,2,10
1746742236.892386,20,2,10
1746742260.2859995,20,2,10
1746742283.8402462,20,2,10
1746742309.2160795,20,2,10
1746742332.1912773,20,2,10
1746742355.0399356,20,2,10
1746742377.9467313,20,2,10
1746742401.8240483,20,2,10
1746742425.5171556,20,2,10
1746742448.988832,20,2,10
1746742472.8303397,20,2,10
1746742496.499452,20,2,10
1746742520.097301,20,2,10
1746742543.4643075,20,2,10
1746742566.9104638,20,2,10
1746742591.1579816,20,2,10
1746742615.4266138,20,2,10
1746742639.9849424,20,1,5
1746742659.1227934,20,1,5
1746742676.3730521,20,1,5
1746742693.7778156,20,1,5
1746742710.7828562,20,1,5
1746742729.7755227,20,1,5
1746742746.9059577,20,1,5
1746742763.9235504,20,1,5
1746742783.2453587,20,1,5
1746742800.2815883,20,1,5
1746742817.4027255,20,1,5
1746742836.6089718,20,1,5
1746742853.7470622,20,1,5
1746742871.0778089,20,1,5
1746742888.4178424,20,1,5
1746742907.3106167,20,1,5
1746742924.3872588,20,1,5
1746742941.5382729,20,1,5
1746742958.551379,20,1,5
1746742977.512157,20,1,5
1746742993.9418569,20,1,5
1746743009.9970462,20,1,5
1746743026.1406162,20,1,5
1746743044.9029405,20,1,5
1746743062.3766315,20,1,5
1746743079.8280745,20,1,5
1746743097.0348005,20,1,5
1746743114.4216158,20,1,5
1746743130.1704702,20,1,5
1746743147.3655112,20,1,5
1746743164.3022327,20,1,5
1746743183.219584,20,1,5
1746743200.0900726,20,1,5
1746743217.1589618,20,1,5
1746743235.08635,20,1,5
1746743252.3900237,20,1,5
1746743272.1122172,20,1,5
1746743289.2637832,20,1,5
1746743306.5137494,20,1,5
1746743323.6638923,20,1,5
1746743340.9658084,20,1,5
1746743358.264783,20,1,5
1746743377.5757945,20,1,5
1746743394.6763084,20,1,5
1746743411.7490304,20,1,5
1746743429.0617855,20,1,5
1746743446.4311533,20,1,5
1746743466.0572672,20,1,5
1746743483.3027546,20,1,5
1746743500.7821326,20,1,5
1746743518.188612,20,1,5
1746743536.1871529,20,1,5
1746743553.2045522,20,1,5
1746743572.6467252,20,1,5
1746743589.6495757,20,1,5
1746743606.657924,20,1,5
1746743622.75156,20,1,5
1746743639.4904778,20,1,5
1746743656.2107012,20,1,5
1746743672.8780758,20,1,5
1746743691.6244133,20,1,5
1746743707.957484,20,1,5
1746743724.7248888,20,1,5
1746743741.7239532,20,1,5
1746743758.718713,20,1,5
1746743775.7154124,20,1,5
1746743792.549899,20,1,5
1746743811.5140352,20,1,5
1746743828.0684268,20,1,5
1746743864.8814723,20,0,0
1746745547.7523723,20,0,0
1746745548.4245598,20,0,0
1746745551.3702362,20,1,5
1746745564.2032263,20,1,5
1746747010.632679,20,1,5
1746747011.4010959,20,1,5
1746747013.4653478,20,2,10
1746747015.203958,20,2,10
1746747035.7428262,20,1,5
1746747035.8500397,20,1,5
1746748820.6444008,20,1,5
1746748821.511879,20,1,5
1746748823.546308,20,2,10
1746748843.410848,20,2,10
1746750599.9413717,20,2,10
1746750600.686553,20,2,10
1746750602.6255698,20,3,15
1746750611.6156707,20,3,15
1746750632.9554653,20,2,10
1746750633.1057823,20,2,10
1746752764.0539992,20,2,10
1746752764.7957673,20,2,10
1746752766.647455,20,3,15
1746752794.0109653,20,3,15
1746754915.1253502,20,3,15
1746754915.8308232,20,3,15
1746754917.7635145,20,4,20
1746754933.8805463,20,4,20
1746754951.2348776,20,3,15
1746754972.289191,20,2,10
1746754972.4481945,20,2,10
1746757270.605763,20,2,10
1746757271.4240506,20,2,10
1746757273.4277904,20,3,15
1746757296.9400682,20,3,15
1746759405.2969015,20,3,15
1746759406.0739849,20,3,15
1746759407.9548216,20,4,20
1746759423.8766792,20,4,20
1746759460.2278392,20,3,15
1746759460.3971372,20,3,15
1746761734.9859612,20,3,15
1746761735.6992183,20,3,15
1746761737.548438,20,4,20
1746761768.9863672,20,4,20
1746763931.5620182,20,4,20
1746763932.3243544,20,4,20
1746763934.493775,20,5,25
1746763950.4188673,20,5,25
1746763983.0576928,20,4,20
1746763998.1950724,20,3,15
1746763998.3754814,20,3,15
1746766319.8489094,20,3,15
1746766320.61354,20,3,15
1746766322.885698,20,4,20
1746766338.6775174,20,4,20
1746766362.6081302,20,3,15
1746766377.4866202,20,2,10
1746766377.6573558,20,2,10
1746768784.5013623,20,2,10
1746768785.4035134,20,2,10
1746768787.509252,20,3,15
1746768803.38689,20,3,15
1746768831.7092395,20,2,10
1746768831.9696639,20,2,10
1746771041.7425792,20,2,10
1746771042.4642375,20,2,10
1746771044.5588539,20,3,15
1746771060.470492,20,3,15
1746771088.6755126,20,2,10
1746771088.9062724,20,2,10
1746772960.692657,20,2,10
1746772961.4431665,20,2,10
1746772963.490434,20,3,15
1746772987.9251907,20,3,15
1746775225.8072412,20,3,15
1746775226.555242,20,3,15
1746775228.4721205,20,4,20
1746775242.4365087,20,4,20
1746775263.3931663,20,3,15
1746775263.5755005,20,3,15
1746777556.3649075,20,3,15
1746777557.3825836,20,3,15
1746777559.5853763,20,4,20
1746777575.499369,20,4,20
1746777592.9419346,20,3,15
1746777614.1108563,20,2,10
1746777614.2716043,20,2,10
1746780448.5792348,20,2,10
1746780449.3863451,20,2,10
1746780451.6182647,20,3,15
1746780467.5320091,20,3,15
1746780497.0520627,20,2,10
1746780497.3009598,20,2,10
1746782637.0301301,20,2,10
1746782637.7476935,20,2,10
1746782639.7377799,20,3,15
1746782647.6356957,20,3,15
1746782668.540162,20,2,10
1746782668.7315066,20,2,10
1746785074.672508,20,2,10
1746785075.392928,20,2,10
1746785077.4933538,20,3,15
1746785093.36501,20,3,15
1746785122.5851111,20,2,10
1746785122.7531755,20,2,10
1746787407.8291013,20,2,10
1746787408.5448778,20,2,10
1746787410.5042245,20,3,15
1746787436.5270007,20,3,15
Copy raw data to clipboard
Download »worker_usage.csv« as file
Skipped tabs:
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 »s4122485/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/0« 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",
"gamma",
"alpha",
"use_mmd2",
"use_k2s_test"
];
var tab_results_csv_json = [
[
0,
"0_0",
"RUNNING",
"Sobol",
"SOBOL",
"",
"",
1616,
4542,
7.192241615533829,
0.021897323220968247,
"True",
"True"
],
[
1,
"1_0",
"COMPLETED",
"Sobol",
"SOBOL",
0.73,
2,
4940,
1497,
2.76266421259474,
0.04461496456712485,
"False",
"False"
],
[
2,
"2_0",
"COMPLETED",
"Sobol",
"SOBOL",
0.71,
2,
3564,
2802,
8.822757236772217,
0.007605078171938657,
"False",
"False"
],
[
3,
"3_0",
"COMPLETED",
"Sobol",
"SOBOL",
0.73,
1690,
473,
849,
1.2297533752769232,
0.03418194680428133,
"True",
"True"
],
[
4,
"4_0",
"RUNNING",
"Sobol",
"SOBOL",
"",
"",
726,
3386,
4.945457718915307,
0.0281920893737115,
"True",
"True"
],
[
5,
"5_0",
"COMPLETED",
"Sobol",
"SOBOL",
0.73,
2,
2725,
183,
5.010055885421113,
0.0016060876855626704,
"False",
"False"
],
[
6,
"6_0",
"COMPLETED",
"Sobol",
"SOBOL",
0.73,
2,
3787,
3959,
1.5374126232005656,
0.03861658703256399,
"False",
"False"
],
[
7,
"7_0",
"COMPLETED",
"Sobol",
"SOBOL",
0.72,
6360,
2183,
2164,
8.515710812320002,
0.015907987324986606,
"True",
"True"
],
[
8,
"8_0",
"RUNNING",
"Sobol",
"SOBOL",
"",
"",
2426,
2816,
2.0793943233918397,
0.0036041050408966843,
"False",
"True"
],
[
9,
"9_0",
"FAILED",
"Sobol",
"SOBOL",
"",
"",
4110,
1021,
7.954277144546621,
0.030376227132044735,
"True",
"False"
],
[
10,
"10_0",
"COMPLETED",
"Sobol",
"SOBOL",
0.71,
157,
2988,
4841,
4.257073526927271,
0.017922225314192474,
"True",
"False"
],
[
11,
"11_0",
"FAILED",
"Sobol",
"SOBOL",
"",
"",
1068,
1637,
5.71804431962967,
0.040831331905443226,
"False",
"True"
],
[
12,
"12_0",
"FAILED",
"Sobol",
"SOBOL",
"",
"",
228,
4180,
9.520972827724181,
0.04721116425422952,
"False",
"True"
],
[
13,
"13_0",
"COMPLETED",
"Sobol",
"SOBOL",
0.66,
23,
3242,
2226,
0.512086114736274,
0.024305056774988773,
"True",
"False"
],
[
14,
"14_0",
"FAILED",
"Sobol",
"SOBOL",
"",
"",
4676,
3478,
6.6600910349376505,
0.036758159449324014,
"True",
"False"
],
[
15,
"15_0",
"COMPLETED",
"Sobol",
"SOBOL",
0.72,
872,
1274,
433,
3.3144190540360285,
0.009982946782838554,
"False",
"True"
],
[
16,
"16_0",
"COMPLETED",
"Sobol",
"SOBOL",
0.71,
223,
1546,
3690,
7.600523342947477,
0.04042462726589292,
"True",
"False"
],
[
17,
"17_0",
"COMPLETED",
"Sobol",
"SOBOL",
0.72,
421,
4405,
489,
2.353161624757573,
0.013834080532658846,
"False",
"True"
],
[
18,
"18_0",
"FAILED",
"Sobol",
"SOBOL",
"",
"",
3358,
4280,
6.067288288787008,
0.026106099095661195,
"False",
"True"
],
[
19,
"19_0",
"FAILED",
"Sobol",
"SOBOL",
"",
"",
112,
2482,
3.9840017422074454,
0.003377871560864151,
"True",
"False"
],
[
20,
"20_0",
"COMPLETED",
"Sobol",
"SOBOL",
0.7000000000000001,
52,
1108,
4868,
0.1613831697870046,
0.009760537797585131,
"True",
"False"
],
[
21,
"21_0",
"COMPLETED",
"Sobol",
"SOBOL",
0.73,
5417,
2948,
1820,
9.792909853494725,
0.03248571901349351,
"False",
"True"
],
[
22,
"22_0",
"RUNNING",
"Sobol",
"SOBOL",
"",
"",
4306,
3102,
3.6667138798432424,
0.020213181912433358,
"False",
"True"
],
[
23,
"23_0",
"RUNNING",
"Sobol",
"SOBOL",
"",
"",
2230,
1150,
6.385188974622638,
0.04680667760036886,
"True",
"False"
],
[
24,
"24_0",
"COMPLETED",
"Sobol",
"SOBOL",
0.71,
2,
1908,
3835,
3.115064528073184,
0.03469898562878371,
"False",
"False"
],
[
25,
"25_0",
"COMPLETED",
"Sobol",
"SOBOL",
0.71,
6012,
4063,
1883,
6.91738635881059,
0.011776248143520207,
"True",
"True"
],
[
26,
"26_0",
"RUNNING",
"Sobol",
"SOBOL",
"",
"",
2606,
3199,
0.8791177768409253,
0.04899238212918863,
"True",
"True"
],
[
27,
"27_0",
"COMPLETED",
"Sobol",
"SOBOL",
0.71,
2,
845,
151,
9.094779488661326,
0.022209626596421006,
"False",
"False"
],
[
28,
"28_0",
"COMPLETED",
"Sobol",
"SOBOL",
0.71,
2,
434,
2532,
5.359404152275995,
0.01621051809284836,
"False",
"False"
],
[
29,
"29_0",
"COMPLETED",
"Sobol",
"SOBOL",
0.72,
2801,
3603,
734,
4.672434209129774,
0.04300226506078616,
"True",
"True"
],
[
30,
"30_0",
"RUNNING",
"Sobol",
"SOBOL",
"",
"",
4746,
4500,
8.162023165260441,
0.005787124632392079,
"True",
"True"
],
[
31,
"31_0",
"COMPLETED",
"Sobol",
"SOBOL",
0.72,
2,
1810,
1299,
1.8112663426585496,
0.028700773318298164,
"False",
"False"
],
[
32,
"32_0",
"COMPLETED",
"Sobol",
"SOBOL",
0.71,
245,
1737,
2710,
4.108991618704983,
0.04604695641854778,
"True",
"False"
],
[
33,
"33_0",
"COMPLETED",
"Sobol",
"SOBOL",
0.72,
2089,
4819,
912,
5.919186936493964,
0.01925664778519422,
"False",
"True"
],
[
34,
"34_0",
"RUNNING",
"Sobol",
"SOBOL",
"",
"",
3676,
4635,
1.912108601609245,
0.03174695095513015,
"False",
"True"
],
[
35,
"35_0",
"RUNNING",
"Sobol",
"SOBOL",
"",
"",
361,
1433,
8.057516928195023,
0.008831766570452601,
"True",
"False"
],
[
36,
"36_0",
"COMPLETED",
"Sobol",
"SOBOL",
0.71,
244,
928,
4052,
6.861707982830704,
0.0024459158978424964,
"True",
"False"
],
[
37,
"37_0",
"RUNNING",
"Sobol",
"SOBOL",
"",
"",
2523,
2100,
3.167078627944924,
0.025370138924568894,
"False",
"True"
],
[
38,
"38_0",
"RUNNING",
"Sobol",
"SOBOL",
"",
"",
3980,
3294,
9.625264006662183,
0.012880827836692334,
"False",
"True"
],
[
39,
"39_0",
"COMPLETED",
"Sobol",
"SOBOL",
0.65,
36,
1991,
247,
0.34497434661351145,
0.03966200046380982,
"True",
"False"
],
[
40,
"40_0",
"COMPLETED",
"Sobol",
"SOBOL",
0.71,
2,
2313,
4729,
8.907539307889529,
0.02934288603020832,
"False",
"False"
],
[
41,
"41_0",
"RUNNING",
"Sobol",
"SOBOL",
"",
"",
4223,
1681,
1.043094505172223,
0.00661919035576284,
"True",
"True"
],
[
42,
"42_0",
"COMPLETED",
"Sobol",
"SOBOL",
0.71,
6902,
2865,
2929,
7.41336739187874,
0.04366537957824767,
"True",
"True"
],
[
43,
"43_0",
"COMPLETED",
"Sobol",
"SOBOL",
0.72,
2,
1191,
977,
2.6348708884855734,
0.01707030098466203,
"False",
"False"
],
[
44,
"44_0",
"COMPLETED",
"Sobol",
"SOBOL",
0.66,
2,
39,
3591,
1.350617793597281,
0.02306627115281299,
"False",
"False"
],
[
45,
"45_0",
"COMPLETED",
"Sobol",
"SOBOL",
0.71,
595,
3431,
390,
8.599403493986465,
0.0496582562206313,
"True",
"True"
],
[
46,
"46_0",
"FAILED",
"Sobol",
"SOBOL",
"",
"",
4478,
4068,
4.816884918513709,
0.01261154993530363,
"True",
"True"
],
[
47,
"47_0",
"COMPLETED",
"Sobol",
"SOBOL",
0.71,
2,
1473,
2270,
5.230745604267344,
0.035338241771329194,
"False",
"False"
],
[
48,
"48_0",
"FAILED",
"Sobol",
"SOBOL",
"",
"",
1357,
4354,
0.7676581426523627,
0.015072912624105813,
"True",
"True"
],
[
49,
"49_0",
"COMPLETED",
"Sobol",
"SOBOL",
0.71,
2,
4593,
2399,
9.259299831491894,
0.037977487355004995,
"False",
"False"
],
[
50,
"50_0",
"RUNNING",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
2787,
2,
8.849497485073625,
0.0005,
"False",
"True"
],
[
51,
"51_0",
"RUNNING",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
1827,
2,
1.9242200652736572,
0.0005,
"True",
"True"
],
[
52,
"52_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.8,
321,
2140,
2,
0.001,
0.05,
"False",
"True"
],
[
53,
"53_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.81,
336,
3312,
2,
0.001,
0.05,
"True",
"True"
],
[
54,
"54_0",
"RUNNING",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
633,
2,
8.418164257742584,
0.0005,
"False",
"True"
],
[
55,
"55_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
1,
2,
0.001,
0.0005,
"True",
"True"
],
[
56,
"56_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.8,
3992,
376,
2,
7.046318115989121,
0.05,
"False",
"True"
],
[
57,
"57_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.8,
332,
4204,
2,
10,
0.05,
"False",
"True"
],
[
58,
"58_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
1,
2,
0.001,
0.0005,
"False",
"True"
],
[
59,
"59_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
1,
2,
3.767590356860405,
0.0005,
"True",
"True"
],
[
60,
"60_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
5000,
2,
0.001,
0.0005,
"False",
"True"
],
[
61,
"61_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
1,
2,
10,
0.0005,
"False",
"True"
],
[
62,
"62_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
35,
3207,
2,
2.6554867271820064,
0.05,
"False",
"False"
],
[
63,
"63_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
1,
2,
10,
0.0005,
"True",
"True"
],
[
64,
"64_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.81,
328,
2486,
2,
6.390210776060432,
0.05,
"False",
"True"
],
[
65,
"65_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
5000,
2,
10,
0.0005,
"False",
"True"
],
[
66,
"66_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
5000,
2,
0.6521811048105302,
0.0005,
"True",
"True"
],
[
67,
"67_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
1,
2,
5.1483136678186865,
0.0005,
"False",
"True"
],
[
68,
"68_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.8,
336,
1,
2,
1.1454155713184317,
0.05,
"False",
"True"
],
[
69,
"69_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
1574,
2,
0.001,
0.0005,
"True",
"True"
],
[
70,
"70_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
2697,
2,
0.001,
0.0005,
"False",
"True"
],
[
71,
"71_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.81,
323,
1,
2,
10,
0.05,
"False",
"True"
],
[
72,
"72_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
36,
3504,
2,
2.470362711539595,
0.0005,
"False",
"False"
],
[
73,
"73_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.81,
320,
1,
2,
4.142974158599343,
0.05,
"True",
"True"
],
[
74,
"74_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
1,
2,
6.645726837560232,
0.0005,
"True",
"True"
],
[
75,
"75_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.73,
2,
3461,
1264,
2.793046527983947,
0.0005,
"False",
"False"
],
[
76,
"76_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.81,
344,
2445,
2,
1.4649854935235782,
0.05,
"True",
"True"
],
[
77,
"77_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.62,
4,
5000,
2885,
0.001,
0.05,
"False",
"False"
],
[
78,
"78_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
1,
585,
10,
0.05,
"True",
"False"
],
[
79,
"79_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.81,
363,
1,
2,
2.469361307126678,
0.05,
"True",
"True"
],
[
80,
"80_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.8,
346,
3977,
2,
0.001,
0.05,
"False",
"True"
],
[
81,
"81_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
5000,
2,
10,
0.0005,
"True",
"False"
],
[
82,
"82_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
5000,
692,
8.038817101901131,
0.05,
"True",
"False"
],
[
83,
"83_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.8,
381,
1,
2,
0.001,
0.05,
"True",
"True"
],
[
84,
"84_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.81,
353,
2817,
2,
3.4892328240644193,
0.05,
"False",
"True"
],
[
85,
"85_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
2214,
5000,
0.2848423934813486,
0.05,
"True",
"True"
],
[
86,
"86_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.68,
4,
5000,
1241,
0.001,
0.0005,
"False",
"False"
],
[
87,
"87_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
1,
2,
6.582669738819016,
0.0005,
"False",
"True"
],
[
88,
"88_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
2214,
5000,
0.43886353667663336,
0.029453185451794733,
"False",
"True"
],
[
89,
"89_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
1678,
5000,
2.7499426788700165,
0.05,
"True",
"True"
],
[
90,
"90_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
3095,
2,
10,
0.0005,
"False",
"True"
],
[
91,
"91_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
1826,
5000,
3.3401260824795704,
0.0005,
"False",
"True"
],
[
92,
"92_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
3540,
831,
10,
0.0005,
"True",
"False"
],
[
93,
"93_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
5000,
2,
5.802969717318164,
0.0005,
"True",
"False"
],
[
94,
"94_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
4419,
5000,
2.3185103899852177,
0.0005,
"False",
"True"
],
[
95,
"95_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
2776,
2,
4.957963748978917,
0.0005,
"False",
"True"
],
[
96,
"96_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
2214,
5000,
7.321813411223604,
0.0005,
"False",
"True"
],
[
97,
"97_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
1,
2,
8.210816863684327,
0.0005,
"True",
"True"
],
[
98,
"98_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
5000,
2,
2.990965959237511,
0.0005,
"True",
"True"
],
[
99,
"99_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
1,
2,
10,
0.0005,
"True",
"False"
],
[
100,
"100_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.81,
356,
4857,
2,
7.256156719030549,
0.05,
"False",
"True"
],
[
101,
"101_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
6786,
5000,
2214,
0.001,
0.05,
"True",
"True"
],
[
102,
"102_0",
"RUNNING",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
1858,
4542,
2.1030394847496776,
0.023128844185007484,
"True",
"True"
],
[
103,
"103_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
59,
5000,
2,
9.179678114309231,
0.05,
"False",
"False"
],
[
104,
"104_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.81,
402,
3933,
2,
7.200280860841577,
0.05,
"False",
"True"
],
[
105,
"105_0",
"RUNNING",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
1863,
4844,
0.5573041603781672,
0.05,
"True",
"True"
],
[
106,
"106_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
6349,
5000,
2214,
0.9605986895072334,
0.05,
"False",
"True"
],
[
107,
"107_0",
"RUNNING",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
4387,
4203,
0.7644376214310726,
0.05,
"True",
"True"
],
[
108,
"108_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.81,
351,
4610,
2,
7.495326279966757,
0.04528409492750157,
"False",
"True"
],
[
109,
"109_0",
"RUNNING",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
3180,
4932,
3.2106616096855247,
0.0481324788471317,
"False",
"True"
],
[
110,
"110_0",
"RUNNING",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
5000,
2,
8.761930183547387,
0.011510513835788846,
"True",
"False"
],
[
111,
"111_0",
"RUNNING",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
5000,
3900,
0.001,
0.04658845580598266,
"False",
"True"
],
[
112,
"112_0",
"RUNNING",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
1324,
4733,
0.001,
0.020209368007197123,
"False",
"True"
],
[
113,
"113_0",
"RUNNING",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
1,
4320,
2.3967326114778076,
0.05,
"True",
"True"
],
[
114,
"114_0",
"RUNNING",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
5000,
5000,
10,
0.049850202035019504,
"False",
"True"
],
[
115,
"115_0",
"RUNNING",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
2455,
4564,
0.001,
0.05,
"False",
"True"
],
[
116,
"116_0",
"RUNNING",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
26,
4987,
1.9418022289913,
0.046761648446578076,
"False",
"True"
],
[
117,
"117_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
2,
1,
5000,
3.5065872774905693,
0.0005,
"False",
"False"
],
[
118,
"118_0",
"RUNNING",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
1088,
4894,
4.0210491612743775,
0.03125700950062397,
"True",
"True"
],
[
119,
"119_0",
"RUNNING",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
3576,
4988,
2.399399401845032,
0.017380394446834604,
"True",
"True"
],
[
120,
"120_0",
"RUNNING",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
4672,
4015,
0.22596074431445595,
0.024708250035211033,
"True",
"True"
],
[
121,
"81_0",
"RUNNING",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
5000,
2,
10,
0.0005,
"True",
"False"
],
[
122,
"122_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
53,
4610,
2,
7.958026428623373,
0.04607811010896749,
"False",
"False"
],
[
123,
"123_0",
"RUNNING",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
4933,
4965,
1.9053580565253811,
0.0005,
"False",
"True"
],
[
124,
"124_0",
"RUNNING",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
4387,
4203,
1.4321516395086256,
0.048819561358440754,
"False",
"True"
],
[
125,
"125_0",
"RUNNING",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
26,
4987,
1.8432739453714977,
0.02477317679172269,
"True",
"True"
],
[
126,
"126_0",
"RUNNING",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
1,
2037,
10,
0.05,
"True",
"False"
],
[
127,
"127_0",
"RUNNING",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
5000,
2214,
1.2504086017605784,
0.030346693883190286,
"False",
"True"
],
[
128,
"128_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.81,
376,
5000,
2,
6.58961744180651,
0.05,
"False",
"True"
],
[
129,
"129_0",
"RUNNING",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
1594,
5000,
4.327410738249269,
0.05,
"False",
"True"
],
[
130,
"130_0",
"RUNNING",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
5000,
2,
8.620157332828466,
0.05,
"True",
"False"
],
[
131,
"131_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.8,
380,
5000,
2,
7.52478636886878,
0.04372085058464401,
"False",
"True"
],
[
132,
"132_0",
"RUNNING",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
5000,
5000,
10,
0.0005,
"False",
"True"
],
[
133,
"133_0",
"RUNNING",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
1,
4320,
1.3472438632160737,
0.0005,
"True",
"True"
],
[
134,
"134_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
5000,
1982,
0.001,
0.0005,
"True",
"True"
],
[
135,
"135_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
1,
5000,
2.9081077231599166,
0.037560526176824226,
"False",
"True"
],
[
136,
"136_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
1,
5000,
0.001,
0.05,
"True",
"True"
],
[
137,
"137_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
1,
5000,
4.05073825748689,
0.05,
"False",
"True"
],
[
138,
"138_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
4306,
3102,
2.0103219224060487,
0.04271145026907486,
"False",
"True"
],
[
139,
"139_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
4933,
4972,
2.9402007328231874,
0.0005,
"True",
"True"
],
[
140,
"140_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
20,
1,
1057,
7.602454226158453,
0.04995730790512715,
"False",
"False"
],
[
141,
"141_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
5107,
5000,
1233,
0.31912649170977814,
0.04328638748570235,
"False",
"True"
],
[
142,
"142_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
3169,
2,
10,
0.05,
"True",
"False"
],
[
143,
"143_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
1758,
4689,
1.408048240886721,
0.03600915638538233,
"True",
"True"
],
[
144,
"144_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
217,
5000,
5000,
10,
0.05,
"True",
"False"
],
[
145,
"145_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
212,
5000,
5000,
7.113855498335372,
0.05,
"True",
"False"
],
[
146,
"146_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
1,
5000,
4.251720372805597,
0.05,
"True",
"True"
],
[
147,
"147_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
4290,
2568,
0.001,
0.0009489528312331099,
"False",
"True"
],
[
148,
"148_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
2,
5000,
5000,
10,
0.05,
"False",
"False"
],
[
149,
"149_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
4008,
5000,
1.6066665939328504,
0.0005,
"True",
"True"
],
[
150,
"150_0",
"RUNNING",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
5000,
2,
1.9984506795828796,
0.0005,
"True",
"True"
],
[
151,
"151_0",
"RUNNING",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
5000,
2,
10,
0.0005,
"True",
"True"
],
[
152,
"152_0",
"RUNNING",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
5000,
2,
0.001,
0.0005,
"True",
"True"
],
[
153,
"153_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.73,
4,
1,
4271,
0.001,
0.05,
"False",
"False"
],
[
154,
"154_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.79,
346,
3977,
2,
3.1286897477150757,
0.029844437364852316,
"True",
"True"
],
[
155,
"155_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.66,
3,
5000,
4254,
0.001,
0.0005,
"False",
"False"
],
[
156,
"156_0",
"RUNNING",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
4686,
1683,
7.030140528896131,
0.0005,
"True",
"False"
],
[
157,
"157_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.81,
402,
5000,
2,
3.0911453355642613,
0.05,
"True",
"True"
],
[
158,
"60_0",
"RUNNING",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
5000,
2,
0.001,
0.0005,
"False",
"True"
],
[
159,
"159_0",
"RUNNING",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
5000,
700,
5.990298173365857,
0.0005,
"True",
"False"
],
[
160,
"160_0",
"RUNNING",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
5000,
2,
4.40286413940505,
0.0005,
"True",
"True"
],
[
161,
"161_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.79,
385,
4998,
2,
2.499243777351917,
0.021585348397103226,
"True",
"True"
],
[
162,
"162_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
1,
1,
1720,
10,
0.0005,
"False",
"False"
],
[
163,
"63_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
1,
2,
10,
0.0005,
"True",
"True"
],
[
164,
"164_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.67,
3,
5000,
4209,
0.001,
0.05,
"False",
"False"
],
[
165,
"165_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.6900000000000001,
34,
5000,
4192,
0.001,
0.0005,
"True",
"False"
],
[
166,
"166_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
2,
1,
1375,
4.804986042586458,
0.0005,
"False",
"False"
],
[
167,
"55_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
1,
2,
0.001,
0.0005,
"True",
"True"
],
[
168,
"168_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
1,
1280,
4.612114690703021,
0.05,
"True",
"False"
],
[
169,
"169_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
1,
1453,
5.255373523547083,
0.0005,
"True",
"False"
],
[
170,
"170_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
1,
2,
5.214938652350717,
0.0005,
"True",
"False"
],
[
171,
"171_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
1,
4956,
10,
0.0005,
"False",
"True"
],
[
172,
"172_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
2,
5000,
1754,
10,
0.05,
"False",
"False"
],
[
173,
"65_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
5000,
2,
10,
0.0005,
"False",
"True"
],
[
174,
"174_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.74,
4,
1,
4232,
0.06309042070223972,
0.0005,
"False",
"False"
],
[
175,
"175_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
5000,
5000,
7.630259421032923,
0.0005,
"True",
"True"
],
[
176,
"176_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
1,
5000,
0.1392896738285571,
0.0005,
"False",
"True"
],
[
177,
"177_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
2,
1,
1453,
5.412081622524284,
0.05,
"False",
"False"
],
[
178,
"178_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.72,
58,
1,
4317,
0.001,
0.05,
"True",
"False"
],
[
179,
"179_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
2,
5000,
1388,
5.745121751581429,
0.0005,
"False",
"False"
],
[
180,
"180_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
2,
1,
549,
5.960681746952151,
0.0005,
"False",
"False"
],
[
181,
"181_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.8,
328,
5000,
2,
2.61123070897314,
0.03741864899429788,
"True",
"True"
],
[
182,
"182_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
2,
5000,
3406,
10,
0.05,
"False",
"False"
],
[
183,
"183_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
5000,
1388,
5.307282404933598,
0.0005,
"True",
"False"
],
[
184,
"184_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
2,
5000,
1295,
4.768840527497564,
0.05,
"False",
"False"
],
[
185,
"185_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
5000,
1437,
5.860954652019619,
0.05,
"True",
"False"
],
[
186,
"186_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
1,
728,
5.811617666626073,
0.0005,
"True",
"False"
],
[
187,
"187_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
5000,
5000,
7.443236441568246,
0.05,
"False",
"True"
],
[
188,
"188_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
5000,
787,
5.442518052792358,
0.05,
"True",
"False"
],
[
189,
"189_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
5000,
2,
6.885648474403932,
0.0005,
"True",
"True"
],
[
190,
"190_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
5000,
1638,
10,
0.0005,
"True",
"False"
],
[
191,
"191_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
1,
5000,
10,
0.05,
"True",
"True"
],
[
192,
"192_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
2,
5000,
1835,
9.093722269393997,
0.0005,
"False",
"False"
],
[
193,
"193_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
5000,
4219,
2.0618491115865023,
0.05,
"True",
"False"
],
[
194,
"194_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
5000,
2,
3.964332180089697,
0.0005,
"False",
"True"
],
[
195,
"195_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
5000,
5000,
5.216185323577963,
0.05,
"True",
"True"
],
[
196,
"196_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
2,
5000,
4219,
2.5903707872727257,
0.0005,
"False",
"False"
],
[
197,
"197_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
60,
1,
2,
5.408658251515353,
0.05,
"False",
"False"
],
[
198,
"198_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.81,
357,
5000,
2,
0.001,
0.05,
"True",
"True"
],
[
199,
"199_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
2235,
5000,
0.001,
0.05,
"True",
"True"
],
[
200,
"200_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.66,
4,
1,
4071,
1.2826232155574495,
0.0005,
"False",
"False"
],
[
201,
"201_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.72,
4,
1,
4072,
0.8680739958322073,
0.05,
"False",
"False"
],
[
202,
"202_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.7000000000000001,
38,
1,
4011,
0.001,
0.0005,
"True",
"False"
],
[
203,
"203_0",
"RUNNING",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
5000,
675,
10,
0.0005,
"True",
"False"
],
[
204,
"204_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
2,
4705,
1788,
3.5523333388710125,
0.05,
"False",
"False"
],
[
205,
"63_0",
"RUNNING",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
1,
2,
10,
0.0005,
"True",
"True"
],
[
206,
"206_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
140,
4776,
1759,
2.914739825830483,
0.0005,
"True",
"False"
],
[
207,
"207_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
2,
5000,
474,
6.39067872831958,
0.05,
"False",
"False"
],
[
208,
"208_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
2,
5000,
3787,
10,
0.0005,
"False",
"False"
],
[
209,
"209_0",
"RUNNING",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
5000,
4718,
5.329458385139357,
0.05,
"False",
"True"
],
[
210,
"210_0",
"RUNNING",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
5000,
289,
6.751551083416363,
0.0005,
"True",
"False"
],
[
211,
"211_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.67,
103,
1,
4100,
1.968924575166037,
0.05,
"True",
"False"
],
[
212,
"212_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.64,
3,
1,
1719,
0.001,
0.0005,
"False",
"False"
],
[
213,
"213_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
2,
5000,
668,
10,
0.05,
"False",
"False"
],
[
214,
"214_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.79,
379,
5000,
2,
0.001,
0.022573282996346217,
"True",
"True"
],
[
215,
"215_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
2,
1,
4329,
4.202698415772778,
0.0005,
"False",
"False"
],
[
216,
"216_0",
"RUNNING",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
1,
713,
10,
0.05,
"True",
"False"
],
[
217,
"217_0",
"RUNNING",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
1,
746,
10,
0.0005,
"True",
"False"
],
[
218,
"218_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
2,
1,
563,
10,
0.0005,
"False",
"False"
],
[
219,
"219_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
2,
1,
3079,
10,
0.05,
"False",
"False"
],
[
220,
"220_0",
"RUNNING",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
1,
5000,
0.001,
0.0005,
"False",
"True"
],
[
221,
"221_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
4823,
1838,
4.479695766550623,
0.05,
"True",
"False"
],
[
222,
"222_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
5000,
403,
7.708604913050656,
0.05,
"True",
"False"
],
[
223,
"223_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
2,
4399,
3115,
6.56228805974567,
0.0005,
"False",
"False"
],
[
224,
"224_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
2,
1,
4380,
4.920087204424956,
0.05,
"False",
"False"
],
[
225,
"225_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
5000,
2,
4.888094228669573,
0.0005,
"True",
"False"
],
[
226,
"226_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.6900000000000001,
139,
1,
4108,
2.023902055496363,
0.0005,
"True",
"False"
],
[
227,
"227_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.66,
99,
1,
1757,
1.41830603507507,
0.05,
"True",
"False"
],
[
228,
"228_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
185,
5000,
10,
0.0005,
"True",
"True"
],
[
229,
"229_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
2,
1,
3137,
7.296049448760008,
0.0005,
"False",
"False"
],
[
230,
"230_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.8,
405,
5000,
2,
6.618043687148292,
0.05,
"True",
"True"
],
[
231,
"231_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
5000,
4279,
10,
0.0005,
"True",
"False"
],
[
232,
"232_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
1,
5000,
5.266948002506124,
0.0005,
"False",
"True"
],
[
233,
"233_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
2,
1,
3240,
10,
0.0005,
"False",
"False"
],
[
234,
"234_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
2,
5000,
3873,
10,
0.05,
"False",
"False"
],
[
235,
"235_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
2,
5000,
4163,
10,
0.05,
"False",
"False"
],
[
236,
"236_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
702,
1,
2716,
10,
0.05,
"True",
"False"
],
[
237,
"237_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.72,
2,
5000,
1596,
2.0775496138051768,
0.0005,
"False",
"False"
],
[
238,
"238_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.67,
5,
1,
5000,
0.001,
0.05,
"False",
"False"
],
[
239,
"239_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.72,
2,
1,
1740,
0.8524841638003626,
0.05,
"False",
"False"
],
[
240,
"240_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
2,
5000,
845,
10,
0.0005,
"False",
"False"
],
[
241,
"136_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
1,
5000,
0.001,
0.05,
"True",
"True"
],
[
242,
"242_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
2,
1,
3200,
6.857968189557584,
0.05,
"False",
"False"
],
[
243,
"243_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
2,
1,
2117,
10,
0.0005,
"False",
"False"
],
[
244,
"244_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
255,
5000,
3628,
10,
0.0005,
"True",
"False"
],
[
245,
"245_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
2,
1,
2092,
10,
0.05,
"False",
"False"
],
[
246,
"246_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
5000,
1075,
10,
0.0005,
"True",
"False"
],
[
247,
"247_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.72,
50,
1,
3973,
0.001,
0.05,
"True",
"False"
],
[
248,
"248_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
270,
4404,
3136,
6.049280017995911,
0.0005,
"True",
"False"
],
[
249,
"249_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
1,
1888,
6.451001310547254,
0.05,
"True",
"False"
],
[
250,
"250_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.8,
473,
4153,
2,
9.018616050863724,
0.05,
"True",
"True"
],
[
251,
"251_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.81,
463,
3205,
2,
2.5182087390842747,
0.05,
"False",
"True"
],
[
252,
"252_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.8,
391,
3020,
2,
9.322563364117569,
0.05,
"True",
"True"
],
[
253,
"253_0",
"RUNNING",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
5000,
2,
9.005215541729234,
0.0005,
"True",
"True"
],
[
254,
"254_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.81,
350,
4082,
2,
9.046512270340248,
0.05,
"False",
"True"
],
[
255,
"255_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.81,
376,
1,
2,
4.944326762621203,
0.05,
"False",
"True"
],
[
256,
"256_0",
"RUNNING",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
1,
5000,
10,
0.0005,
"True",
"True"
],
[
257,
"257_0",
"RUNNING",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
1,
4303,
5.308088903572814,
0.0005,
"True",
"True"
],
[
258,
"258_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.8,
370,
5000,
2,
8.95825943358643,
0.05,
"True",
"True"
],
[
259,
"259_0",
"RUNNING",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
5000,
4677,
3.583821766857411,
0.0005,
"True",
"True"
],
[
260,
"260_0",
"RUNNING",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
2715,
4427,
3.652893428230539,
0.05,
"True",
"True"
],
[
261,
"261_0",
"RUNNING",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
1,
5000,
7.595867121915584,
0.05,
"True",
"True"
],
[
262,
"262_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
2,
1,
5000,
10,
0.0005,
"False",
"False"
],
[
263,
"263_0",
"RUNNING",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
3645,
2,
9.126073139070101,
0.0005,
"True",
"True"
],
[
264,
"264_0",
"RUNNING",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
1,
5000,
2.8497156648579196,
0.0005,
"False",
"True"
],
[
265,
"265_0",
"RUNNING",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
1,
4767,
4.846292146114368,
0.04403784952099902,
"True",
"True"
],
[
266,
"266_0",
"RUNNING",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
2345,
5000,
8.838388896713287,
0.05,
"True",
"True"
],
[
267,
"267_0",
"RUNNING",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
249,
5000,
0.8434573198292075,
0.0005,
"True",
"True"
],
[
268,
"268_0",
"RUNNING",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
1,
4190,
0.001,
0.0005,
"True",
"True"
],
[
269,
"269_0",
"RUNNING",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
1,
5000,
8.93308845615669,
0.04180028060322348,
"True",
"True"
],
[
270,
"270_0",
"RUNNING",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
3396,
5000,
6.907920241757515,
0.0005,
"False",
"True"
],
[
271,
"271_0",
"RUNNING",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
27,
5000,
6.365597441078896,
0.03786971349793003,
"True",
"True"
],
[
272,
"272_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.81,
508,
2954,
2,
5.8063244851828575,
0.05,
"False",
"True"
],
[
273,
"273_0",
"RUNNING",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
1034,
5000,
5.147047278172426,
0.0005,
"True",
"True"
],
[
274,
"274_0",
"RUNNING",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
1,
5000,
7.592356669126541,
0.0005,
"False",
"True"
],
[
275,
"275_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
2,
3036,
1645,
7.305848848074679,
0.0005,
"False",
"False"
],
[
276,
"276_0",
"RUNNING",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
2210,
2,
10,
0.0005,
"True",
"True"
],
[
277,
"277_0",
"RUNNING",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
1,
5000,
5.360888169508661,
0.05,
"False",
"True"
],
[
278,
"278_0",
"RUNNING",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
1,
5000,
0.8992704543617904,
0.05,
"False",
"True"
],
[
279,
"279_0",
"RUNNING",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
1,
4529,
6.145091040979007,
0.0005,
"False",
"True"
],
[
280,
"280_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.81,
501,
3020,
2,
9.283207645552148,
0.05,
"False",
"True"
],
[
281,
"281_0",
"RUNNING",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
1,
5000,
4.310304633116515,
0.0005,
"False",
"True"
],
[
282,
"282_0",
"RUNNING",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
2856,
5000,
3.7235272557607617,
0.05,
"True",
"True"
],
[
283,
"283_0",
"RUNNING",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
2814,
5000,
10,
0.05,
"False",
"True"
],
[
284,
"284_0",
"RUNNING",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
5000,
4677,
3.558469134139851,
0.0005,
"False",
"True"
],
[
285,
"285_0",
"RUNNING",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
1,
4313,
3.27021626117316,
0.05,
"False",
"True"
],
[
286,
"286_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
2,
5000,
4718,
5.519740662690723,
0.05,
"False",
"False"
],
[
287,
"287_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
2281,
5000,
1.4330252975855156,
0.05,
"True",
"True"
],
[
288,
"288_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
1,
3918,
3.6463483027985175,
0.0005,
"True",
"True"
],
[
289,
"289_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
3341,
4697,
10,
0.0005,
"True",
"True"
],
[
290,
"290_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
2,
5000,
5000,
8.557714230201313,
0.0005,
"False",
"False"
],
[
291,
"291_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
3818,
5000,
5.417861065391109,
0.0005,
"False",
"True"
],
[
292,
"292_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
5000,
5000,
0.001,
0.05,
"True",
"True"
],
[
293,
"293_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
3679,
5000,
4.589624555070247,
0.05,
"False",
"True"
],
[
294,
"294_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
1,
3498,
1.8272178694863972,
0.05,
"False",
"True"
],
[
295,
"295_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
5000,
4121,
3.452447783061174,
0.05,
"False",
"True"
],
[
296,
"296_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
1,
5000,
3.539795134240948,
0.0005,
"False",
"True"
],
[
297,
"136_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
1,
5000,
0.001,
0.05,
"True",
"True"
],
[
298,
"298_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
1,
5000,
2.52283085725411,
0.0005,
"True",
"True"
],
[
299,
"299_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.8,
346,
5000,
2,
8.986650347707318,
0.05,
"False",
"True"
],
[
300,
"65_0",
"RUNNING",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
5000,
2,
10,
0.0005,
"False",
"True"
],
[
301,
"301_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
56,
1,
2,
10,
0.0005,
"False",
"False"
],
[
302,
"302_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
59,
5000,
2,
7.029699422767073,
0.0005,
"False",
"False"
],
[
303,
"303_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
2,
5000,
720,
4.833097801869054,
0.0005,
"False",
"False"
],
[
304,
"304_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
2,
5000,
4437,
10,
0.0005,
"False",
"False"
],
[
305,
"305_0",
"RUNNING",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
4604,
2363,
9.337067401609723,
0.0005,
"True",
"False"
],
[
306,
"306_0",
"RUNNING",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
1,
2,
7.29214253088567,
0.0005,
"True",
"False"
],
[
307,
"55_0",
"RUNNING",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
1,
2,
0.001,
0.0005,
"True",
"True"
],
[
308,
"308_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.78,
367,
5000,
2,
6.963711114794389,
0.01538378989701948,
"False",
"True"
],
[
309,
"309_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
2,
1,
4729,
10,
0.05,
"False",
"False"
],
[
310,
"310_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
57,
1,
2,
5.445524762218558,
0.0005,
"False",
"False"
],
[
311,
"311_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
2,
1,
5000,
10,
0.05,
"False",
"False"
],
[
312,
"312_0",
"RUNNING",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
1,
2,
10,
0.05,
"True",
"False"
],
[
313,
"313_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
179,
1,
5000,
10,
0.0005,
"True",
"False"
],
[
314,
"314_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.72,
2,
1,
678,
4.321277232785086,
0.05,
"False",
"False"
],
[
315,
"315_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
182,
5000,
5000,
10,
0.0005,
"True",
"False"
],
[
316,
"316_0",
"RUNNING",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
5000,
1805,
8.318103487343008,
0.05,
"True",
"False"
],
[
317,
"317_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
51,
1,
2,
10,
0.05,
"False",
"False"
],
[
318,
"318_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
221,
5000,
4397,
10,
0.0005,
"True",
"False"
],
[
319,
"319_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.73,
2,
5000,
956,
2.552418848274489,
0.05,
"False",
"False"
],
[
320,
"320_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
2,
1,
4323,
10,
0.0005,
"False",
"False"
],
[
321,
"321_0",
"RUNNING",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
5000,
2,
6.774667642849318,
0.0005,
"True",
"False"
],
[
322,
"322_0",
"RUNNING",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
5000,
5000,
6.696855699578216,
0.05,
"False",
"True"
],
[
323,
"323_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
54,
5000,
2,
10,
0.0005,
"False",
"False"
],
[
324,
"324_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
2,
5000,
2012,
6.7428858236292735,
0.0005,
"False",
"False"
],
[
325,
"325_0",
"RUNNING",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
5000,
2,
6.052360073291786,
0.0005,
"False",
"True"
],
[
326,
"99_0",
"RUNNING",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
1,
2,
10,
0.0005,
"True",
"False"
],
[
327,
"327_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.81,
339,
5000,
2,
0.001,
0.05,
"False",
"True"
],
[
328,
"328_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
229,
5000,
3165,
7.309657568886344,
0.05,
"True",
"False"
],
[
329,
"329_0",
"RUNNING",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
5000,
5000,
10,
0.0005,
"True",
"True"
],
[
330,
"330_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
2,
5000,
2016,
6.4279834271926335,
0.05,
"False",
"False"
],
[
331,
"331_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.81,
360,
5000,
2,
3.8509171583485653,
0.05,
"False",
"True"
],
[
332,
"332_0",
"RUNNING",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
5000,
696,
10,
0.05,
"True",
"False"
],
[
333,
"58_0",
"RUNNING",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
1,
2,
0.001,
0.0005,
"False",
"True"
],
[
334,
"334_0",
"RUNNING",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
5000,
773,
4.688286154999129,
0.05,
"True",
"False"
],
[
335,
"335_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
239,
1,
4535,
9.710247225795802,
0.05,
"True",
"False"
],
[
336,
"336_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
2,
1,
4231,
8.693076669499087,
0.05,
"False",
"False"
],
[
337,
"337_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.77,
417,
5000,
2,
0.001,
0.011584519842916433,
"True",
"True"
],
[
338,
"61_0",
"RUNNING",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
1,
2,
10,
0.0005,
"False",
"True"
],
[
339,
"339_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.72,
2,
5000,
289,
6.452134371867655,
0.0005,
"False",
"False"
],
[
340,
"340_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
2,
1,
1016,
10,
0.05,
"False",
"False"
],
[
341,
"341_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.79,
331,
5000,
2,
10,
0.023223890415132387,
"False",
"True"
],
[
342,
"342_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.79,
351,
5000,
2,
0.001,
0.03448097455949886,
"True",
"True"
],
[
343,
"343_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
2,
1,
5000,
7.330344314372518,
0.05,
"False",
"False"
],
[
344,
"344_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
2,
5000,
3145,
10,
0.0005,
"False",
"False"
],
[
345,
"345_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
309,
1,
2716,
7.089080000904375,
0.0005,
"True",
"False"
],
[
346,
"346_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
2,
5000,
956,
5.452785712324683,
0.0005,
"False",
"False"
],
[
347,
"347_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
40,
5000,
2,
2.7475282833952313,
0.0005,
"False",
"False"
],
[
348,
"348_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
1,
2025,
10,
0.0005,
"True",
"False"
],
[
349,
"349_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
5000,
2033,
7.604993003895677,
0.0005,
"True",
"False"
],
[
350,
"350_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.72,
2,
1,
1057,
3.4724927821535214,
0.05,
"False",
"False"
],
[
351,
"351_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
2,
1,
4334,
6.869318888544957,
0.0005,
"False",
"False"
],
[
352,
"352_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.81,
451,
5000,
2,
1.638914747805892,
0.05,
"True",
"True"
],
[
353,
"353_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
593,
5000,
1724,
10,
0.0005,
"True",
"False"
],
[
354,
"354_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.73,
2,
5000,
1248,
3.1900311902915623,
0.05,
"False",
"False"
],
[
355,
"355_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
2,
1,
5000,
7.099052190753146,
0.0005,
"False",
"False"
],
[
356,
"356_0",
"RUNNING",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
4788,
2448,
7.836264416009083,
0.05,
"True",
"False"
],
[
357,
"357_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.79,
393,
5000,
2,
0.001,
0.02527718726359574,
"False",
"True"
],
[
358,
"358_0",
"RUNNING",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
1,
1247,
10,
0.0005,
"True",
"False"
],
[
359,
"359_0",
"RUNNING",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
1,
5000,
7.544575426125218,
0.0005,
"True",
"True"
],
[
360,
"360_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
228,
1,
5000,
10,
0.05,
"True",
"False"
],
[
361,
"361_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
2,
1,
4567,
7.76361862240999,
0.0005,
"False",
"False"
],
[
362,
"362_0",
"RUNNING",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
5000,
2,
10,
0.05,
"True",
"False"
],
[
363,
"363_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
2,
5000,
4286,
6.027304288498833,
0.05,
"False",
"False"
],
[
364,
"364_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
2,
5000,
2522,
7.260912792661947,
0.0005,
"False",
"False"
],
[
365,
"365_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.72,
2,
1,
678,
3.4637832452078845,
0.0005,
"False",
"False"
],
[
366,
"366_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.79,
350,
5000,
2,
8.585545833600642,
0.024164089265686774,
"True",
"True"
],
[
367,
"367_0",
"RUNNING",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
5000,
1407,
10,
0.05,
"True",
"False"
],
[
368,
"368_0",
"RUNNING",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
5000,
1253,
3.965959229835781,
0.05,
"True",
"False"
],
[
369,
"369_0",
"RUNNING",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
1,
4664,
10,
0.0005,
"True",
"True"
],
[
370,
"370_0",
"RUNNING",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
5000,
1140,
4.3337814102793475,
0.0005,
"True",
"False"
],
[
371,
"371_0",
"RUNNING",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
5000,
2,
4.925180991617915,
0.05,
"True",
"False"
],
[
372,
"372_0",
"RUNNING",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
1,
5000,
3.530486826635441,
0.05,
"True",
"True"
],
[
373,
"373_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.81,
357,
5000,
2,
10,
0.05,
"True",
"True"
],
[
374,
"374_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.72,
2,
5000,
659,
3.608526146551921,
0.05,
"False",
"False"
],
[
375,
"375_0",
"RUNNING",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
1,
5000,
10,
0.03642710431782027,
"False",
"True"
],
[
376,
"376_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
2,
5000,
5000,
4.7692404708491285,
0.05,
"False",
"False"
],
[
377,
"377_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
2,
5000,
1170,
3.9214109396118393,
0.0005,
"False",
"False"
],
[
378,
"378_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
190,
1,
5000,
6.41830286364599,
0.0005,
"True",
"False"
],
[
379,
"379_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
2,
5000,
5000,
6.171382033246457,
0.0005,
"False",
"False"
],
[
380,
"380_0",
"RUNNING",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
1109,
4897,
0.001,
0.0005,
"True",
"True"
],
[
381,
"381_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.63,
5,
1,
4602,
0.001,
0.0005,
"False",
"False"
],
[
382,
"382_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
2,
4788,
2448,
7.318759131366727,
0.05,
"False",
"False"
],
[
383,
"383_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
2,
1455,
3774,
6.674880246592506,
0.05,
"False",
"False"
],
[
384,
"384_0",
"RUNNING",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
1,
1994,
10,
0.0005,
"True",
"False"
],
[
385,
"136_0",
"RUNNING",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
1,
5000,
0.001,
0.05,
"True",
"True"
],
[
386,
"386_0",
"RUNNING",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
5000,
5000,
0.001,
0.05,
"False",
"True"
],
[
387,
"387_0",
"RUNNING",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
838,
342,
10,
0.0005,
"True",
"False"
],
[
388,
"388_0",
"RUNNING",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
5000,
1021,
10,
0.0005,
"True",
"False"
],
[
389,
"389_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.67,
181,
1,
700,
3.3748934660475696,
0.0005,
"True",
"False"
],
[
390,
"390_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
354,
5000,
3093,
9.902746369758919,
0.0005,
"True",
"False"
],
[
391,
"391_0",
"RUNNING",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
5000,
5000,
0.001,
0.0005,
"True",
"True"
],
[
392,
"392_0",
"RUNNING",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
5000,
5000,
0.13698253754388734,
0.0005,
"False",
"True"
],
[
393,
"393_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
2,
5000,
4460,
6.990708068437028,
0.0005,
"False",
"False"
],
[
394,
"394_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
5000,
266,
10,
0.05,
"True",
"False"
],
[
395,
"395_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.8,
446,
5000,
2,
0.013791231249155173,
0.04187690168636123,
"True",
"True"
],
[
396,
"396_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
2,
1,
1906,
5.568588287670877,
0.05,
"False",
"False"
],
[
397,
"397_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
5000,
2028,
6.596255701578449,
0.0005,
"True",
"False"
],
[
398,
"398_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.8,
365,
5000,
2,
4.69746631692923,
0.05,
"True",
"True"
],
[
399,
"399_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
1,
238,
4.997634463280058,
0.0005,
"True",
"False"
],
[
400,
"400_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.7000000000000001,
3,
1,
573,
0.001,
0.05,
"False",
"False"
],
[
401,
"401_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
48,
5000,
2,
0.001,
0.05,
"False",
"False"
],
[
402,
"402_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
62,
1,
2,
0.001,
0.0005,
"False",
"False"
],
[
403,
"403_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.67,
53,
1,
5000,
0.0926670197639373,
0.05,
"True",
"False"
],
[
404,
"404_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.78,
409,
5000,
2,
10,
0.016505009635128656,
"True",
"True"
],
[
405,
"405_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
2,
1,
435,
10,
0.05,
"False",
"False"
],
[
406,
"406_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.72,
3,
5000,
631,
0.058664627969195145,
0.05,
"False",
"False"
],
[
407,
"407_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.72,
2,
1,
849,
1.587881157694246,
0.05,
"False",
"False"
],
[
408,
"408_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
3,
5000,
1051,
0.001,
0.05,
"False",
"False"
],
[
409,
"409_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
217,
1,
5000,
4.886767505698165,
0.05,
"True",
"False"
],
[
410,
"410_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.6900000000000001,
4,
5000,
3809,
0.001,
0.05,
"False",
"False"
],
[
411,
"411_0",
"RUNNING",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
281,
2212,
6.303214715674191,
0.0005,
"True",
"False"
],
[
412,
"412_0",
"RUNNING",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
5000,
2094,
5.692268819570287,
0.05,
"True",
"False"
],
[
413,
"413_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.72,
2,
1,
1757,
2.3680566103457488,
0.0005,
"False",
"False"
],
[
414,
"414_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.68,
3,
5000,
197,
0.001,
0.0005,
"False",
"False"
],
[
415,
"415_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
2,
5000,
291,
10,
0.05,
"False",
"False"
],
[
416,
"416_0",
"RUNNING",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
5000,
364,
10,
0.0005,
"True",
"False"
],
[
417,
"417_0",
"RUNNING",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
1,
387,
10,
0.05,
"True",
"False"
],
[
418,
"418_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
5000,
331,
10,
0.05,
"True",
"False"
],
[
419,
"419_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
2,
1,
3901,
7.479824211093231,
0.0005,
"False",
"False"
],
[
420,
"420_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
2,
5000,
497,
10,
0.0005,
"False",
"False"
],
[
421,
"421_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
2,
5000,
1247,
10,
0.0005,
"False",
"False"
],
[
422,
"422_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.72,
2,
5000,
606,
1.9912800537260065,
0.05,
"False",
"False"
],
[
423,
"423_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
52,
1,
2,
1.1101663968154298,
0.05,
"False",
"False"
],
[
424,
"424_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
1,
5000,
2.40246810722149,
0.05,
"False",
"True"
],
[
425,
"425_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
2,
1,
4498,
10,
0.05,
"False",
"False"
],
[
426,
"426_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.72,
2,
5000,
844,
2.873735535945093,
0.0005,
"False",
"False"
],
[
427,
"427_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
2,
1,
4090,
4.245720877728021,
0.05,
"False",
"False"
],
[
428,
"428_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
2,
1,
2716,
5.73494744843778,
0.0005,
"False",
"False"
],
[
429,
"429_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
2,
5000,
2145,
2.788486798474432,
0.05,
"False",
"False"
],
[
430,
"430_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
2,
1,
2538,
6.810336482610938,
0.05,
"False",
"False"
],
[
431,
"431_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
1,
2,
5.536776670525254,
0.05,
"True",
"False"
],
[
432,
"432_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.72,
2,
1,
412,
2.103320463405172,
0.0005,
"False",
"False"
],
[
433,
"433_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
57,
1,
2,
0.001,
0.05,
"False",
"False"
],
[
434,
"434_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
2,
1,
1305,
10,
0.05,
"False",
"False"
],
[
435,
"435_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
2,
281,
2212,
5.6216230526323185,
0.0005,
"False",
"False"
],
[
436,
"436_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.78,
51,
5000,
2,
0.001,
0.0005,
"True",
"False"
],
[
437,
"437_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
2,
5000,
2720,
10,
0.05,
"False",
"False"
],
[
438,
"438_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
2,
4895,
3553,
7.044447581628876,
0.05,
"False",
"False"
],
[
439,
"439_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
249,
1,
3359,
10,
0.05,
"True",
"False"
],
[
440,
"440_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.72,
2,
1,
378,
3.0369526217484646,
0.05,
"False",
"False"
],
[
441,
"441_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
2,
1,
2638,
10,
0.0005,
"False",
"False"
],
[
442,
"442_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
5000,
2092,
6.830865330952448,
0.0005,
"True",
"False"
],
[
443,
"443_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
5000,
2,
3.242404175292314,
0.0005,
"True",
"False"
],
[
444,
"444_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
2,
5000,
2099,
4.745464071974272,
0.0005,
"False",
"False"
],
[
445,
"445_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
583,
363,
1652,
6.666306581631361,
0.05,
"True",
"False"
],
[
446,
"446_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.7000000000000001,
3,
1,
849,
0.001,
0.05,
"False",
"False"
],
[
447,
"447_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
2,
1,
1710,
4.207943994291214,
0.05,
"False",
"False"
],
[
448,
"448_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
5000,
4652,
10,
0.0005,
"False",
"True"
],
[
449,
"449_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
2314,
4822,
9.537006070027212,
0.0005,
"False",
"True"
],
[
450,
"450_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.78,
48,
1,
2,
0.001,
0.0005,
"True",
"False"
],
[
451,
"451_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.64,
15,
5000,
121,
0.001,
0.0005,
"True",
"False"
],
[
452,
"452_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.72,
68,
1,
2,
1.6666513129821467,
0.0005,
"True",
"False"
],
[
453,
"453_0",
"RUNNING",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
5000,
312,
10,
0.05,
"True",
"False"
],
[
454,
"454_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.72,
67,
5000,
2,
1.5711821121367082,
0.0005,
"True",
"False"
],
[
455,
"455_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.7000000000000001,
12,
5000,
255,
0.001,
0.0005,
"True",
"False"
],
[
456,
"456_0",
"RUNNING",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
5000,
2,
6.839315808581214,
0.05,
"True",
"False"
],
[
457,
"457_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
5000,
2016,
5.760043423320499,
0.0005,
"True",
"False"
],
[
458,
"458_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
5000,
5000,
10,
0.033057542279481336,
"True",
"True"
],
[
459,
"459_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.78,
67,
1,
2,
0.001,
0.014588444525225135,
"True",
"False"
],
[
460,
"460_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.65,
14,
1,
153,
0.001,
0.0005,
"True",
"False"
],
[
461,
"461_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
57,
5000,
4567,
0.001,
0.05,
"True",
"False"
],
[
462,
"462_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.78,
54,
1,
2,
0.001,
0.05,
"True",
"False"
],
[
463,
"463_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.67,
4,
5000,
4509,
0.001,
0.05,
"False",
"False"
],
[
464,
"464_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.78,
48,
5000,
2,
0.001,
0.022454612823732057,
"True",
"False"
],
[
465,
"465_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
2,
1,
4324,
2.61260527115832,
0.05,
"False",
"False"
],
[
466,
"466_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
1,
2,
10,
0.018508850284465334,
"True",
"False"
],
[
467,
"467_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
1,
1072,
10,
0.05,
"True",
"False"
],
[
468,
"468_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
1,
2,
6.401972778140789,
0.0005,
"True",
"True"
],
[
469,
"469_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.72,
2,
1,
1157,
3.251570012952543,
0.0005,
"False",
"False"
],
[
470,
"470_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
5000,
2,
3.8255154366870543,
0.0005,
"True",
"False"
],
[
471,
"471_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
1,
2,
3.140116699787418,
0.0005,
"True",
"False"
],
[
472,
"472_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.7000000000000001,
12,
1,
73,
0.001,
0.0005,
"True",
"False"
],
[
473,
"473_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
2,
5000,
4516,
10,
0.05,
"False",
"False"
],
[
474,
"474_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
1,
5000,
8.137046303531148,
0.05,
"False",
"True"
],
[
475,
"475_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.79,
383,
5000,
2,
10,
0.03107169658919077,
"True",
"True"
],
[
476,
"476_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
1,
5000,
9.845688519255852,
0.0005,
"False",
"True"
],
[
477,
"477_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.8,
428,
5000,
2,
1.6199631121253242,
0.029377337152920183,
"True",
"True"
],
[
478,
"478_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.78,
68,
5000,
2,
0.001,
0.0120923095672434,
"True",
"False"
],
[
479,
"479_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.78,
67,
2418,
2,
0.001,
0.0005,
"True",
"False"
],
[
480,
"480_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.73,
2,
4491,
1307,
2.3320700122729865,
0.05,
"False",
"False"
],
[
481,
"481_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
2,
5000,
4719,
4.471283675166566,
0.0005,
"False",
"False"
],
[
482,
"482_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
5000,
2,
6.430400016420616,
0.0005,
"True",
"True"
],
[
483,
"483_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
2,
4306,
3101,
3.7919993802378555,
0.0005,
"False",
"False"
],
[
484,
"484_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
2,
1,
1033,
10,
0.0005,
"False",
"False"
],
[
485,
"485_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
2,
1,
5000,
2.9786073717639936,
0.05,
"False",
"False"
],
[
486,
"486_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.77,
351,
5000,
2,
10,
0.009111170003406242,
"True",
"True"
],
[
487,
"487_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.75,
46,
1,
2,
0.7986556526142702,
0.0005,
"True",
"False"
],
[
488,
"488_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
3,
4933,
4965,
1.116835570245419,
0.05,
"False",
"False"
],
[
489,
"489_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
2,
4776,
1759,
3.9233476156235247,
0.0054742959162132065,
"False",
"False"
],
[
490,
"490_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
2,
1,
2538,
4.017178255397892,
0.05,
"False",
"False"
],
[
491,
"491_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
199,
5000,
4591,
8.056860439182207,
0.0005,
"True",
"False"
],
[
492,
"492_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.78,
508,
5000,
2,
0.001,
0.01704081183885203,
"True",
"True"
],
[
493,
"493_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
170,
5000,
5000,
3.627456971873908,
0.0005,
"True",
"False"
],
[
494,
"494_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.6900000000000001,
4,
1324,
4733,
0.6780270904055158,
0.05,
"False",
"False"
],
[
495,
"495_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.8,
343,
5000,
2,
0.001,
0.037227244056990724,
"False",
"True"
],
[
496,
"496_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
5000,
5000,
5.791410480239997,
0.05,
"True",
"True"
],
[
497,
"497_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
76,
5000,
4785,
0.001,
0.0005,
"True",
"False"
],
[
498,
"498_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
2,
5000,
1037,
10,
0.05,
"False",
"False"
],
[
499,
"499_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.78,
401,
5000,
2,
0.001,
0.012733949958882027,
"False",
"True"
],
[
500,
"500_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.67,
3,
5000,
1951,
0.1744141621829269,
0.0005,
"False",
"False"
],
[
501,
"501_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
5,
2607,
3272,
0.001,
0.0005,
"False",
"False"
],
[
502,
"502_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.67,
4,
4672,
3945,
0.001,
0.05,
"False",
"False"
],
[
503,
"503_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.6900000000000001,
4,
4041,
1919,
0.001,
0.05,
"False",
"False"
],
[
504,
"504_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
2,
1,
4228,
2.9166449614820698,
0.0005,
"False",
"False"
],
[
505,
"505_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.78,
63,
5000,
2,
0.001,
0.05,
"True",
"False"
],
[
506,
"506_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
2,
5000,
1497,
10,
0.0005,
"False",
"False"
],
[
507,
"507_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.68,
21,
5000,
398,
0.001,
0.0005,
"True",
"False"
],
[
508,
"508_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.63,
3,
1900,
1911,
1.5828472465940788,
0.0005,
"False",
"False"
],
[
509,
"509_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.64,
3,
5000,
353,
0.001,
0.0005,
"False",
"False"
],
[
510,
"510_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.73,
4,
4698,
3235,
0.001,
0.05,
"False",
"False"
],
[
511,
"511_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.77,
122,
5000,
34,
1.3853946567100408,
0.05,
"True",
"True"
],
[
512,
"512_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.6900000000000001,
118,
1,
1049,
1.8245446187370247,
0.0005,
"True",
"False"
],
[
513,
"513_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.68,
4,
4978,
2597,
0.001,
0.05,
"False",
"False"
],
[
514,
"514_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.68,
4,
750,
2417,
0.001,
0.0005,
"False",
"False"
],
[
515,
"515_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
2,
221,
1946,
0.9846816485295429,
0.0005,
"False",
"False"
],
[
516,
"516_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.74,
3,
1,
3318,
0.001,
0.0005,
"False",
"False"
],
[
517,
"517_0",
"RUNNING",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
4207,
1138,
10,
0.0005,
"True",
"False"
],
[
518,
"518_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.6900000000000001,
105,
5000,
1345,
2.392673922089321,
0.05,
"True",
"False"
],
[
519,
"519_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.74,
2,
1,
3317,
0.001,
0.05,
"False",
"False"
],
[
520,
"520_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.67,
102,
5000,
989,
2.003126476764109,
0.05,
"True",
"False"
],
[
521,
"521_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.59,
199,
1,
408,
2.687796520643214,
0.0005,
"True",
"False"
],
[
522,
"522_0",
"RUNNING",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
4940,
1514,
3.960845557437983,
0.0005,
"True",
"False"
],
[
523,
"523_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.6900000000000001,
3,
1,
1934,
0.001,
0.05,
"False",
"False"
],
[
524,
"524_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.67,
49,
4699,
3238,
0.001,
0.05,
"True",
"False"
],
[
525,
"525_0",
"RUNNING",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
5000,
547,
10,
0.05,
"True",
"False"
],
[
526,
"526_0",
"RUNNING",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
5000,
1511,
10,
0.0005,
"True",
"False"
],
[
527,
"527_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
2,
25,
4859,
3.7683882864049854,
0.05,
"False",
"False"
],
[
528,
"528_0",
"RUNNING",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
2430,
920,
8.294635806216496,
0.05,
"True",
"False"
],
[
529,
"529_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.72,
4,
5000,
3219,
0.001,
0.0005,
"False",
"False"
],
[
530,
"530_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.77,
147,
5000,
47,
4.123728046662218,
0.05,
"False",
"True"
],
[
531,
"531_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.74,
3,
5000,
3340,
0.001,
0.05,
"False",
"False"
],
[
532,
"532_0",
"RUNNING",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
1,
458,
10,
0.0005,
"True",
"False"
],
[
533,
"533_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.73,
3,
1,
3937,
0.001,
0.05,
"False",
"False"
],
[
534,
"534_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
2,
361,
1527,
10,
0.05,
"False",
"False"
],
[
535,
"535_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
2,
4968,
4855,
2.4427109229633244,
0.0005,
"False",
"False"
],
[
536,
"536_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.6900000000000001,
217,
5000,
382,
3.747505162575032,
0.0005,
"True",
"False"
],
[
537,
"537_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
5000,
464,
10,
0.0005,
"True",
"False"
],
[
538,
"538_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
361,
1485,
10,
0.05,
"True",
"False"
],
[
539,
"539_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.6900000000000001,
32,
4751,
1444,
0.001,
0.0005,
"True",
"False"
],
[
540,
"540_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.72,
39,
5000,
3348,
0.001,
0.0005,
"True",
"False"
],
[
541,
"541_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
1191,
973,
4.2254302051819765,
0.05,
"True",
"False"
],
[
542,
"542_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.7000000000000001,
4,
2521,
2517,
0.001,
0.0005,
"False",
"False"
],
[
543,
"543_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.72,
38,
1,
3338,
0.001,
0.05,
"True",
"False"
],
[
544,
"544_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
2,
1623,
3363,
4.1694978605146265,
0.0005,
"False",
"False"
],
[
545,
"545_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.6900000000000001,
27,
5000,
1977,
0.001,
0.0005,
"True",
"False"
],
[
546,
"546_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
4,
1,
3185,
0.001,
0.05,
"False",
"False"
],
[
547,
"547_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.7000000000000001,
63,
1,
1074,
1.3810739060629738,
0.05,
"True",
"False"
],
[
548,
"548_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.68,
44,
1,
3214,
0.001,
0.0005,
"True",
"False"
],
[
549,
"549_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.74,
3,
5000,
3348,
0.001,
0.0005,
"False",
"False"
],
[
550,
"550_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.78,
48,
2619,
2,
0.001,
0.05,
"True",
"False"
],
[
551,
"551_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
1,
2208,
649,
10,
0.05,
"False",
"False"
],
[
552,
"552_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.68,
3,
2658,
765,
0.001,
0.05,
"False",
"False"
],
[
553,
"553_0",
"RUNNING",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
2387,
2,
10,
0.05,
"True",
"False"
],
[
554,
"554_0",
"RUNNING",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
2616,
2,
4.178097633427669,
0.05,
"True",
"False"
],
[
555,
"555_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.8,
378,
2486,
2,
5.409299616774501,
0.05,
"True",
"True"
],
[
556,
"556_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
34,
1762,
3803,
0.001,
0.05,
"True",
"False"
],
[
557,
"557_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.6900000000000001,
4,
2749,
2182,
0.001,
0.05,
"False",
"False"
],
[
558,
"558_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
2,
1,
294,
10,
0.0005,
"False",
"False"
],
[
559,
"559_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
3,
2582,
727,
0.001,
0.0005,
"False",
"False"
],
[
560,
"560_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.78,
47,
3599,
2,
0.001,
0.05,
"True",
"False"
],
[
561,
"561_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.78,
51,
1504,
2,
0.001,
0.05,
"True",
"False"
],
[
562,
"562_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
2,
3346,
4792,
10,
0.0005,
"False",
"False"
],
[
563,
"563_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.6900000000000001,
47,
5000,
3840,
0.001,
0.0005,
"True",
"False"
],
[
564,
"564_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.72,
3,
2542,
1473,
0.001,
0.05,
"False",
"False"
],
[
565,
"565_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
1,
2,
5.043422535963199,
0.05,
"True",
"False"
],
[
566,
"566_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
2,
3066,
1641,
10,
0.05,
"False",
"False"
],
[
567,
"567_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.8,
350,
3327,
2,
3.3972165968796304,
0.05,
"True",
"True"
],
[
568,
"568_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
2,
2814,
4997,
10,
0.0005,
"False",
"False"
],
[
569,
"569_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.68,
5,
2803,
3330,
0.001,
0.05,
"False",
"False"
],
[
570,
"570_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.68,
5,
2888,
4891,
0.001,
0.05,
"False",
"False"
],
[
571,
"571_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.67,
5,
5000,
5000,
0.001,
0.0005,
"False",
"False"
],
[
572,
"572_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.6900000000000001,
3,
5000,
1517,
0.001,
0.05,
"False",
"False"
],
[
573,
"573_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
3020,
2,
7.463278295951656,
0.05,
"True",
"False"
],
[
574,
"574_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
2,
3887,
3293,
8.66393064628013,
0.05,
"False",
"False"
],
[
575,
"575_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
2,
5000,
2202,
10,
0.05,
"False",
"False"
],
[
576,
"576_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.7000000000000001,
3,
3073,
2211,
0.001,
0.0005,
"False",
"False"
],
[
577,
"577_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
2,
2489,
2590,
10,
0.0005,
"False",
"False"
],
[
578,
"578_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
2,
5000,
4850,
10,
0.05,
"False",
"False"
],
[
579,
"579_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
4730,
841,
10,
0.0005,
"True",
"False"
],
[
580,
"580_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
2,
418,
782,
10,
0.0005,
"False",
"False"
],
[
581,
"581_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.67,
5,
1806,
3945,
0.001,
0.05,
"False",
"False"
],
[
582,
"582_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
1,
4761,
10,
0.05,
"True",
"False"
],
[
583,
"583_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
5,
2298,
4307,
0.001,
0.0005,
"False",
"False"
],
[
584,
"584_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.62,
3,
1,
1168,
0.001,
0.05,
"False",
"False"
],
[
585,
"585_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
2,
2185,
315,
10,
0.05,
"False",
"False"
],
[
586,
"586_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
2,
2241,
542,
10,
0.0005,
"False",
"False"
],
[
587,
"587_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
2,
3893,
4804,
10,
0.05,
"False",
"False"
],
[
588,
"588_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.74,
3,
2204,
3354,
0.001,
0.0005,
"False",
"False"
],
[
589,
"589_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.81,
387,
1445,
2,
0.001,
0.05,
"True",
"True"
],
[
590,
"590_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.67,
4,
5000,
4792,
0.001,
0.05,
"False",
"False"
],
[
591,
"591_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.72,
4,
5000,
2242,
0.001,
0.0005,
"False",
"False"
],
[
592,
"592_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.7000000000000001,
3,
2664,
978,
0.001,
0.0005,
"False",
"False"
],
[
593,
"593_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.65,
4,
2550,
4988,
0.001,
0.0005,
"False",
"False"
],
[
594,
"594_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.68,
3,
5000,
754,
0.001,
0.05,
"False",
"False"
],
[
595,
"595_0",
"RUNNING",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
5000,
3862,
10,
0.0005,
"True",
"False"
],
[
596,
"596_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
2,
2125,
3972,
10,
0.0005,
"False",
"False"
],
[
597,
"597_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
2669,
562,
10,
0.0005,
"True",
"False"
],
[
598,
"598_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
2210,
2,
10,
0.0005,
"True",
"False"
],
[
599,
"599_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.7000000000000001,
65,
5000,
2576,
0.001,
0.0005,
"True",
"False"
],
[
600,
"600_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.81,
389,
5000,
2,
5.279335309427539,
0.05,
"False",
"True"
],
[
601,
"601_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.65,
4,
2299,
4226,
0.1954962365167529,
0.05,
"False",
"False"
],
[
602,
"602_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.75,
117,
3037,
109,
10,
0.05,
"False",
"True"
],
[
603,
"603_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
2,
2558,
870,
4.9999469022573235,
0.05,
"False",
"False"
],
[
604,
"604_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.81,
343,
167,
2,
10,
0.05,
"True",
"True"
],
[
605,
"605_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
3599,
2,
0.001,
0.0005,
"True",
"True"
],
[
606,
"606_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.81,
348,
1,
2,
6.533963331878583,
0.05,
"True",
"True"
],
[
607,
"607_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
1,
2,
2.697430154417574,
0.05,
"True",
"False"
],
[
608,
"608_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
1,
4984,
1582,
5.874009009677371,
0.05,
"False",
"False"
],
[
609,
"598_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
2210,
2,
10,
0.0005,
"True",
"False"
],
[
610,
"610_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
2,
2476,
1149,
10,
0.0005,
"False",
"False"
],
[
611,
"611_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.81,
360,
2465,
2,
4.992264068464747,
0.05,
"False",
"True"
],
[
612,
"612_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.81,
345,
5000,
2,
1.88276654020062,
0.05,
"False",
"True"
],
[
613,
"613_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
5000,
2,
1.807130643505972,
0.05,
"True",
"False"
],
[
614,
"614_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
2,
2988,
4841,
4.41146225451546,
0.0005,
"False",
"False"
],
[
615,
"615_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.78,
52,
3451,
2,
0.001,
0.0005,
"True",
"False"
],
[
616,
"616_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
2465,
2,
6.484413202304096,
0.05,
"True",
"False"
],
[
617,
"617_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
47,
1575,
2,
10,
0.05,
"False",
"False"
],
[
618,
"618_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
50,
2630,
2,
0.001,
0.05,
"False",
"False"
],
[
619,
"619_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
2,
2915,
4821,
5.353724348243613,
0.05,
"False",
"False"
],
[
620,
"620_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.78,
54,
1403,
2,
0.001,
0.0005,
"True",
"False"
],
[
621,
"621_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.8,
460,
1279,
2,
4.989694642175131,
0.05,
"False",
"True"
],
[
622,
"622_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.8,
477,
1279,
2,
5.187459840254671,
0.05,
"True",
"True"
],
[
623,
"623_0",
"RUNNING",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
5000,
5000,
4.949560505247798,
0.05,
"True",
"True"
],
[
624,
"624_0",
"RUNNING",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
3001,
2,
0.001,
0.0005,
"True",
"True"
],
[
625,
"625_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.6900000000000001,
72,
1882,
4381,
0.001,
0.0005,
"True",
"False"
],
[
626,
"626_0",
"RUNNING",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
1,
2,
4.350423918798743,
0.05,
"True",
"False"
],
[
627,
"627_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
5000,
2,
2.2606066252166235,
0.05,
"True",
"False"
],
[
628,
"628_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
1,
4233,
10,
0.0005,
"True",
"False"
],
[
629,
"629_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
5000,
2,
3.2615942447673425,
0.0005,
"False",
"True"
],
[
630,
"630_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
4998,
1170,
10,
0.05,
"True",
"False"
],
[
631,
"631_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
2531,
128,
10,
0.05,
"True",
"False"
],
[
632,
"632_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
163,
2716,
4408,
4.765473994359972,
0.05,
"True",
"False"
],
[
633,
"633_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
4447,
3857,
10,
0.05,
"True",
"False"
],
[
634,
"634_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
2,
4601,
2334,
10,
0.0005,
"False",
"False"
],
[
635,
"635_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
2061,
2,
3.379191735863404,
0.0005,
"True",
"False"
],
[
636,
"636_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
5000,
2,
2.2257325540049293,
0.05,
"True",
"False"
],
[
637,
"637_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
5000,
4896,
10,
0.02686692295631023,
"False",
"True"
],
[
638,
"638_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
2,
2948,
1992,
10,
0.05,
"False",
"False"
],
[
639,
"639_0",
"RUNNING",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
1618,
2,
4.986714774380954,
0.0005,
"False",
"True"
],
[
640,
"640_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
2,
3148,
437,
7.476816049766068,
0.05,
"False",
"False"
],
[
641,
"641_0",
"RUNNING",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
1,
4825,
10,
0.05,
"True",
"True"
],
[
642,
"292_0",
"RUNNING",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
5000,
5000,
0.001,
0.05,
"True",
"True"
],
[
643,
"643_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
71,
1,
4516,
0.001,
0.05,
"True",
"False"
],
[
644,
"644_0",
"RUNNING",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
2476,
2,
8.52688224853322,
0.0005,
"True",
"False"
],
[
645,
"645_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
2,
2950,
4335,
10,
0.0005,
"False",
"False"
],
[
646,
"646_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
5000,
2,
2.298194041571013,
0.05,
"True",
"False"
],
[
647,
"647_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
2,
1990,
4604,
10,
0.05,
"False",
"False"
],
[
648,
"648_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
2,
5000,
3295,
3.4033622979236267,
0.0005,
"False",
"False"
],
[
649,
"649_0",
"RUNNING",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
5000,
4911,
9.141096886805363,
0.03253846223628446,
"False",
"True"
],
[
650,
"650_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
3327,
2,
3.116840267101643,
0.0005,
"True",
"False"
],
[
651,
"651_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
4500,
4676,
10,
0.05,
"True",
"False"
],
[
652,
"652_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
5000,
4856,
6.441338812432289,
0.05,
"False",
"True"
],
[
653,
"653_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
2,
1594,
5000,
6.813980632035913,
0.05,
"False",
"False"
],
[
654,
"654_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
2,
2430,
1038,
10,
0.05,
"False",
"False"
],
[
655,
"655_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
57,
3451,
2,
0.001,
0.0005,
"False",
"False"
],
[
656,
"656_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
2,
2231,
1092,
6.58332191717336,
0.0005,
"False",
"False"
],
[
657,
"657_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.76,
121,
5000,
54,
10,
0.05,
"False",
"True"
],
[
658,
"658_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.7,
9,
1,
39,
0.001,
0.05,
"True",
"False"
],
[
659,
"659_0",
"RUNNING",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
2962,
2,
2.3162729024653115,
0.05,
"True",
"False"
],
[
660,
"660_0",
"RUNNING",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
5000,
2,
4.489931418772515,
0.0005,
"False",
"True"
],
[
661,
"661_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.81,
358,
1,
2,
5.231344971968318,
0.05,
"True",
"True"
],
[
662,
"662_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
5000,
4815,
10,
0.05,
"False",
"True"
],
[
663,
"663_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
5000,
42,
0.001,
0.0005,
"False",
"True"
],
[
664,
"664_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
2,
228,
3781,
10,
0.05,
"False",
"False"
],
[
665,
"665_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.81,
411,
674,
2,
4.549490379732314,
0.05,
"False",
"True"
],
[
666,
"666_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
2,
3428,
3650,
10,
0.05,
"False",
"False"
],
[
667,
"667_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
3893,
4804,
10,
0.0005,
"False",
"True"
],
[
668,
"668_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
1,
2,
4.535859901157367,
0.0005,
"True",
"True"
],
[
669,
"669_0",
"RUNNING",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
5000,
4855,
5.097820184061937,
0.05,
"True",
"True"
],
[
670,
"670_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
5000,
2,
2.334920274344728,
0.05,
"True",
"False"
],
[
671,
"671_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
2,
1386,
4885,
7.944664950970621,
0.0005,
"False",
"False"
],
[
672,
"672_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.81,
342,
3598,
2,
4.75605638948542,
0.05,
"False",
"True"
],
[
673,
"673_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
5000,
4765,
10,
0.05,
"True",
"False"
],
[
674,
"674_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
3327,
2,
4.235549318459897,
0.0005,
"False",
"True"
],
[
675,
"675_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
3928,
4877,
8.118923589288801,
0.0005,
"True",
"True"
],
[
676,
"676_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
5000,
36,
1.1143197783386165,
0.0005,
"False",
"True"
],
[
677,
"677_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
355,
4942,
10,
0.05,
"False",
"True"
],
[
678,
"678_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
1879,
2,
2.8215027143053613,
0.0005,
"True",
"False"
],
[
679,
"679_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
2,
2028,
2503,
10,
0.05,
"False",
"False"
],
[
680,
"680_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
1,
4827,
4.87267429666508,
0.0005,
"False",
"True"
],
[
681,
"681_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.67,
3,
1661,
1393,
0.001,
0.0005,
"False",
"False"
],
[
682,
"682_0",
"RUNNING",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
5000,
846,
10,
0.05,
"True",
"False"
],
[
683,
"683_0",
"RUNNING",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
4933,
4965,
4.92880885007685,
0.0005,
"True",
"True"
],
[
684,
"684_0",
"RUNNING",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
3177,
2,
10,
0.0005,
"True",
"False"
],
[
685,
"685_0",
"RUNNING",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
2465,
2,
5.12927073504771,
0.0005,
"True",
"True"
],
[
686,
"686_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
1,
2,
3.9603341692285725,
0.0005,
"True",
"True"
],
[
687,
"687_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.72,
56,
5000,
2,
1.6573345757203237,
0.05,
"True",
"False"
],
[
688,
"688_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
194,
3487,
4320,
10,
0.05,
"True",
"False"
],
[
689,
"689_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
5000,
44,
0.001,
0.0005,
"False",
"True"
],
[
690,
"690_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
2,
5000,
308,
10,
0.0005,
"False",
"False"
],
[
691,
"691_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
5000,
1174,
10,
0.05,
"True",
"False"
],
[
692,
"692_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
422,
4887,
2051,
9.696017891792952,
0.0005,
"True",
"False"
],
[
693,
"693_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
5000,
4818,
10,
0.0005,
"False",
"True"
],
[
694,
"694_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
228,
3788,
10,
0.05,
"True",
"False"
],
[
695,
"695_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.69,
3,
2764,
2365,
0.001,
0.05,
"False",
"False"
],
[
696,
"696_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
2,
5000,
1077,
6.467454826122086,
0.05,
"False",
"False"
],
[
697,
"697_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
1,
2,
3.726362736254983,
0.0005,
"True",
"True"
],
[
698,
"698_0",
"RUNNING",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
5000,
34,
0.001,
0.0005,
"False",
"True"
],
[
699,
"699_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
242,
5000,
4135,
10,
0.0005,
"True",
"False"
],
[
700,
"700_0",
"RUNNING",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
5000,
4858,
4.85649168048908,
0.05,
"False",
"True"
],
[
701,
"701_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
2,
4820,
10,
0.0005,
"False",
"True"
],
[
702,
"702_0",
"RUNNING",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
5000,
5000,
10,
0.05,
"True",
"True"
],
[
703,
"703_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.8,
373,
1,
2,
8.294210402646593,
0.05,
"True",
"True"
],
[
704,
"704_0",
"RUNNING",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
376,
2,
6.750872702483292,
0.0005,
"True",
"True"
],
[
705,
"705_0",
"RUNNING",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
1,
5000,
1.844903480478871,
0.05,
"True",
"True"
],
[
706,
"706_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
2323,
4722,
8.167362997254028,
0.05,
"False",
"True"
],
[
707,
"707_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.81,
325,
1422,
2,
3.323273132209935,
0.05,
"False",
"True"
],
[
708,
"708_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
191,
159,
10,
0.0005,
"True",
"False"
],
[
709,
"709_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
5000,
2,
2.3449188132935452,
0.0005,
"False",
"True"
],
[
710,
"710_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
2540,
2,
2.0805038749422353,
0.0005,
"True",
"False"
],
[
711,
"711_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
5000,
4885,
10,
0.04726983086589474,
"False",
"True"
],
[
712,
"712_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.69,
9,
5000,
38,
0.001,
0.05,
"True",
"False"
],
[
713,
"713_0",
"RUNNING",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
3132,
2,
5.005241870393019,
0.0005,
"False",
"True"
],
[
714,
"714_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
1691,
3863,
7.762048208683646,
0.05,
"True",
"False"
],
[
715,
"715_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
358,
4071,
2921,
10,
0.05,
"True",
"False"
],
[
716,
"716_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
2,
1908,
3922,
5.840211764283463,
0.05,
"False",
"False"
],
[
717,
"717_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
1,
2,
4.709997332279619,
0.0005,
"True",
"True"
],
[
718,
"718_0",
"RUNNING",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
5000,
4719,
4.79332833859069,
0.05,
"True",
"False"
],
[
719,
"719_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.81,
339,
1575,
2,
10,
0.05,
"False",
"True"
],
[
720,
"720_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
2,
1807,
601,
5.475732086789453,
0.05,
"False",
"False"
],
[
721,
"721_0",
"RUNNING",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
5000,
35,
0.001,
0.0005,
"True",
"True"
],
[
722,
"722_0",
"RUNNING",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
5000,
36,
10,
0.0005,
"True",
"True"
],
[
723,
"723_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.77,
125,
5000,
46,
0.001,
0.05,
"True",
"True"
],
[
724,
"724_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
1,
3883,
10,
0.0005,
"True",
"False"
],
[
725,
"725_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.76,
98,
5000,
57,
10,
0.05,
"True",
"True"
],
[
726,
"726_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
5000,
18,
0.001,
0.0005,
"True",
"True"
],
[
727,
"727_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.78,
119,
5000,
29,
9.668050312316463,
0.05,
"True",
"True"
],
[
728,
"728_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
237,
5000,
4813,
6.892078189866675,
0.0005,
"True",
"False"
],
[
729,
"729_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
2,
5000,
1458,
5.8047166004865955,
0.05,
"False",
"False"
],
[
730,
"730_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.74,
9,
5000,
27,
0.001,
0.0005,
"True",
"False"
],
[
731,
"731_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
2,
4328,
2945,
10,
0.0005,
"False",
"False"
],
[
732,
"732_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
5000,
4956,
1.3108852172335477,
0.05,
"True",
"True"
],
[
733,
"733_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.78,
96,
5000,
17,
0.001,
0.05,
"True",
"True"
],
[
734,
"734_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
5000,
58,
10,
0.0005,
"False",
"True"
],
[
735,
"735_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.74,
2,
14,
3372,
0.001,
0.05,
"False",
"False"
],
[
736,
"736_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.78,
102,
5000,
30,
9.154486050235587,
0.05,
"False",
"True"
],
[
737,
"737_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
1,
3857,
10,
0.05,
"True",
"False"
],
[
738,
"738_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.77,
86,
5000,
28,
0.001,
0.05,
"False",
"True"
],
[
739,
"739_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
27,
4939,
7.329081913888433,
0.0009890989106246127,
"False",
"True"
],
[
740,
"740_0",
"RUNNING",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
5000,
4816,
8.618070554047469,
0.05,
"True",
"True"
],
[
741,
"741_0",
"RUNNING",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
1,
4839,
0.4991366527747146,
0.0005,
"False",
"True"
],
[
742,
"742_0",
"RUNNING",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
5000,
4836,
10,
0.05,
"False",
"True"
],
[
743,
"743_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.72,
2,
5000,
3417,
0.001,
0.05,
"False",
"False"
],
[
744,
"744_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.69,
27,
4580,
3455,
0.001,
0.0005,
"True",
"False"
],
[
745,
"745_0",
"RUNNING",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
5000,
4883,
5.2419903595857535,
0.0005,
"True",
"True"
],
[
746,
"746_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
1,
2,
5.502095793920228,
0.0005,
"False",
"True"
],
[
747,
"747_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
5000,
42,
9.824422549928235,
0.0005,
"False",
"True"
],
[
748,
"748_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
2625,
2,
2.9077908661327556,
0.0005,
"True",
"False"
],
[
749,
"749_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
1,
2,
4.427529882738446,
0.0005,
"True",
"True"
],
[
750,
"750_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
1,
4708,
10,
0.05,
"False",
"True"
],
[
751,
"751_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.81,
352,
1642,
2,
6.203379767889251,
0.05,
"False",
"True"
],
[
752,
"752_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.77,
100,
5000,
59,
0.001,
0.05,
"False",
"True"
],
[
753,
"753_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
4825,
1217,
9.757339955712819,
0.05,
"True",
"False"
],
[
754,
"754_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
5000,
31,
4.526816342720614,
0.0005,
"False",
"True"
],
[
755,
"755_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
5000,
43,
10,
0.0005,
"False",
"True"
],
[
756,
"756_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
1,
4827,
10,
0.0005,
"False",
"True"
],
[
757,
"757_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
1,
4858,
9.624481323988219,
0.0005,
"True",
"True"
],
[
758,
"758_0",
"RUNNING",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
1,
2,
2.879349617416964,
0.0005,
"True",
"True"
],
[
759,
"759_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
35,
2,
5.4366952794082986,
0.0005,
"False",
"True"
],
[
760,
"760_0",
"RUNNING",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
1,
4889,
0.001,
0.0005,
"True",
"True"
],
[
761,
"761_0",
"RUNNING",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
5000,
1187,
9.406725594869664,
0.05,
"True",
"False"
],
[
762,
"762_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.8,
380,
1,
2,
6.19612741915123,
0.05,
"False",
"True"
],
[
763,
"763_0",
"RUNNING",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
5000,
2,
1.9972804487215827,
0.0005,
"False",
"True"
],
[
764,
"764_0",
"RUNNING",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
5000,
25,
0.9212015564696024,
0.0005,
"True",
"True"
],
[
765,
"765_0",
"RUNNING",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
5000,
4789,
0.001,
0.0005,
"True",
"True"
],
[
766,
"766_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
1,
2,
5.759594379966784,
0.0005,
"False",
"True"
],
[
767,
"767_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
1,
3832,
10,
0.0005,
"True",
"False"
],
[
768,
"768_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.72,
3,
5000,
3440,
0.001,
0.0005,
"False",
"False"
],
[
769,
"769_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
2,
1,
3284,
3.2844774853732455,
0.05,
"False",
"False"
],
[
770,
"770_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
4054,
4823,
3.320325342103906,
0.0005,
"True",
"True"
],
[
771,
"771_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
5000,
4812,
10,
0.0005,
"False",
"True"
],
[
772,
"772_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
2,
1,
4134,
10,
0.0005,
"False",
"False"
],
[
773,
"773_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.77,
88,
5000,
33,
0.001,
0.05,
"True",
"True"
],
[
774,
"774_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.81,
372,
3598,
2,
4.967522476097543,
0.05,
"True",
"True"
],
[
775,
"775_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
5000,
1301,
10,
0.05,
"True",
"False"
],
[
776,
"776_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
2,
5000,
4909,
7.697762456730319,
0.0005,
"False",
"False"
],
[
777,
"777_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
2,
5000,
260,
7.7047296066013535,
0.05,
"False",
"False"
],
[
778,
"778_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
1,
4878,
10,
0.05,
"False",
"True"
],
[
779,
"779_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.74,
13,
5000,
21,
0.001,
0.05,
"True",
"False"
],
[
780,
"780_0",
"RUNNING",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
5000,
53,
0.001,
0.0005,
"True",
"True"
],
[
781,
"781_0",
"RUNNING",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
1,
4652,
10,
0.0005,
"False",
"True"
],
[
782,
"782_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.67,
4,
5000,
2158,
0.001,
0.05,
"False",
"False"
],
[
783,
"783_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
1,
3898,
7.870750848634985,
0.05,
"True",
"False"
],
[
784,
"784_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
2,
1,
1780,
7.656290575813417,
0.05,
"False",
"False"
],
[
785,
"785_0",
"RUNNING",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
1,
3830,
10,
0.05,
"True",
"False"
],
[
786,
"786_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
1,
2,
1.8142260631136298,
0.05,
"True",
"False"
],
[
787,
"787_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
1,
4556,
10,
0.0005,
"True",
"True"
],
[
788,
"788_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.78,
113,
5000,
24,
4.762494796736499,
0.05,
"True",
"True"
],
[
789,
"789_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
5000,
89,
7.584156282529596,
0.0005,
"False",
"True"
],
[
790,
"790_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
1,
3849,
6.3497039566422,
0.0005,
"True",
"False"
],
[
791,
"791_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
490,
2,
3.2220129510600506,
0.0005,
"False",
"True"
],
[
792,
"792_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
5000,
4889,
10,
0.05,
"True",
"True"
],
[
793,
"793_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
1,
1862,
7.137539028523809,
0.0005,
"True",
"False"
],
[
794,
"794_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
5000,
28,
5.774693964422498,
0.0005,
"True",
"True"
],
[
795,
"795_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
2,
5000,
837,
6.535814257592505,
0.05,
"False",
"False"
],
[
796,
"796_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
1,
2,
1.7112550565341849,
0.05,
"True",
"False"
],
[
797,
"797_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.74,
2,
1,
3365,
0.001,
0.0005,
"False",
"False"
],
[
798,
"798_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
346,
1259,
7.297645210678895,
0.0005,
"True",
"False"
],
[
799,
"799_0",
"RUNNING",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
1122,
4840,
3.910069322583878,
0.05,
"True",
"True"
],
[
800,
"800_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.66,
4,
1,
4823,
0.4716786107920515,
0.0005,
"False",
"False"
],
[
801,
"801_0",
"RUNNING",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
2313,
4741,
7.0942911285311006,
0.0005,
"False",
"True"
],
[
802,
"802_0",
"RUNNING",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
5000,
4602,
0.046742889241485265,
0.05,
"True",
"True"
],
[
803,
"803_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
51,
5000,
2,
0.001,
0.0005,
"False",
"False"
],
[
804,
"804_0",
"RUNNING",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
5000,
4893,
7.56676718935246,
0.0005,
"False",
"True"
],
[
805,
"805_0",
"RUNNING",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
1,
2,
2.091702177980895,
0.05,
"True",
"False"
],
[
806,
"806_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
5000,
66,
5.816651418932365,
0.0005,
"False",
"True"
],
[
807,
"807_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
1324,
4726,
1.9733310143440532,
0.015325964252970298,
"True",
"True"
],
[
808,
"808_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
706,
4685,
0.001,
0.05,
"True",
"True"
],
[
809,
"809_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.76,
140,
5000,
64,
5.821018871895616,
0.05,
"True",
"True"
],
[
810,
"810_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
5000,
4890,
5.315490734028217,
0.0005,
"False",
"True"
],
[
811,
"811_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
2,
1207,
3487,
10,
0.0005,
"False",
"False"
],
[
812,
"812_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
1385,
4853,
7.574717291007852,
0.0005,
"False",
"True"
],
[
813,
"813_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.81,
354,
4298,
2,
4.133795292862948,
0.05,
"True",
"True"
],
[
814,
"814_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
1,
2,
4.990977955919761,
0.0005,
"False",
"True"
],
[
815,
"815_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
5000,
47,
5.990050146333829,
0.0005,
"False",
"True"
],
[
816,
"816_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
5000,
85,
5.753604238249176,
0.0005,
"False",
"True"
],
[
817,
"817_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
1,
4801,
5.946989816060565,
0.05,
"False",
"True"
],
[
818,
"818_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
5000,
4920,
4.623904254440274,
0.0005,
"False",
"True"
],
[
819,
"819_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
2,
1,
3864,
10,
0.0005,
"False",
"False"
],
[
820,
"820_0",
"RUNNING",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
1,
4538,
4.94694411665448,
0.05,
"True",
"True"
],
[
821,
"821_0",
"RUNNING",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
5000,
4775,
4.0817659093818035,
0.0005,
"False",
"True"
],
[
822,
"822_0",
"RUNNING",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
746,
4947,
6.277988534384519,
0.05,
"True",
"True"
],
[
823,
"823_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
271,
1,
4066,
10,
0.05,
"True",
"False"
],
[
824,
"824_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
2,
5000,
205,
10,
0.0005,
"False",
"False"
],
[
825,
"825_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.81,
342,
1551,
2,
3.5191032117948615,
0.05,
"True",
"True"
],
[
826,
"826_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
1,
4730,
10,
0.05,
"False",
"True"
],
[
827,
"827_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
5000,
29,
6.506031841767385,
0.0005,
"True",
"True"
],
[
828,
"828_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.81,
323,
4298,
2,
5.442991935734684,
0.05,
"False",
"True"
],
[
829,
"829_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
1,
2,
5.121320158497462,
0.0005,
"False",
"True"
],
[
830,
"830_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
2,
5000,
1248,
6.545306227731996,
0.05,
"False",
"False"
],
[
831,
"831_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
1,
4734,
1257,
6.265521021634201,
0.0005,
"False",
"False"
],
[
832,
"832_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
2,
5000,
2488,
10,
0.05,
"False",
"False"
],
[
833,
"833_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
5000,
4608,
10,
0.024861858743088713,
"True",
"True"
],
[
834,
"834_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
5000,
4607,
10,
0.05,
"False",
"True"
],
[
835,
"835_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
2,
502,
2922,
10,
0.05,
"False",
"False"
],
[
836,
"836_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
5000,
2,
3.090604237553023,
0.0005,
"True",
"False"
],
[
837,
"837_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
5000,
65,
8.005184675448623,
0.0005,
"False",
"True"
],
[
838,
"838_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
5000,
12,
0.001,
0.0005,
"True",
"True"
],
[
839,
"839_0",
"RUNNING",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
5000,
21,
8.330576892168413,
0.0005,
"True",
"True"
],
[
840,
"840_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.77,
102,
5000,
42,
5.4085100448507575,
0.05,
"True",
"True"
],
[
841,
"841_0",
"RUNNING",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
1,
2,
5.781833169276788,
0.0005,
"False",
"True"
],
[
842,
"842_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.77,
100,
5000,
27,
4.765355452681515,
0.05,
"False",
"True"
],
[
843,
"843_0",
"RUNNING",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
1,
4482,
0.029252386854730444,
0.0005,
"True",
"True"
],
[
844,
"844_0",
"RUNNING",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
5000,
57,
9.014270525224978,
0.0005,
"False",
"True"
],
[
845,
"845_0",
"RUNNING",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
5000,
4858,
9.334828944789987,
0.0005,
"True",
"True"
],
[
846,
"846_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
4517,
4903,
0.001,
0.05,
"True",
"True"
],
[
847,
"847_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.74,
3,
3077,
3317,
0.001,
0.0005,
"False",
"False"
],
[
848,
"848_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.72,
3,
5000,
3299,
0.001,
0.0005,
"False",
"False"
],
[
849,
"849_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
1,
4530,
1.7978152436580095,
0.0005,
"False",
"True"
],
[
850,
"850_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
1420,
4747,
10,
0.0005,
"True",
"True"
],
[
851,
"851_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
4739,
4569,
1.9979118764223371,
0.0005,
"True",
"True"
],
[
852,
"852_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.78,
90,
5000,
24,
0.001,
0.05,
"True",
"True"
],
[
853,
"853_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
5000,
4924,
7.548373579886968,
0.05,
"True",
"True"
],
[
854,
"854_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
1,
4732,
10,
0.05,
"False",
"True"
],
[
855,
"855_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
341,
4781,
2395,
10,
0.05,
"True",
"False"
],
[
856,
"856_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
1827,
2,
2.0215228561223775,
0.0005,
"True",
"False"
],
[
857,
"857_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
276,
4656,
0.001,
0.05,
"True",
"True"
],
[
858,
"858_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
21,
4876,
1.7461898640580025,
0.0005,
"False",
"True"
],
[
859,
"859_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
4699,
3890,
4.4181924919672335,
0.0005,
"True",
"False"
],
[
860,
"860_0",
"RUNNING",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
1,
4825,
10,
0.0005,
"False",
"True"
],
[
861,
"861_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.8,
407,
674,
2,
3.0998617043054,
0.05,
"True",
"True"
],
[
862,
"862_0",
"RUNNING",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
1932,
2,
2.146855745088246,
0.0005,
"True",
"False"
],
[
863,
"863_0",
"RUNNING",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
5000,
4725,
6.715303229658059,
0.0005,
"True",
"True"
],
[
864,
"864_0",
"RUNNING",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
1,
4824,
8.066548935699426,
0.05,
"False",
"True"
],
[
865,
"865_0",
"RUNNING",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
5000,
4882,
0.001,
0.05,
"True",
"True"
],
[
866,
"866_0",
"RUNNING",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
1,
1105,
10,
0.05,
"True",
"False"
],
[
867,
"867_0",
"RUNNING",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
4073,
2,
5.572964134800973,
0.0005,
"False",
"True"
],
[
868,
"868_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.81,
328,
824,
2,
6.014842820408552,
0.05,
"False",
"True"
],
[
869,
"869_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
1,
4736,
4.380839450718204,
0.0005,
"False",
"True"
],
[
870,
"870_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
5000,
13,
0.001,
0.0005,
"True",
"True"
],
[
871,
"871_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.8,
159,
5000,
9,
0.001,
0.05,
"True",
"True"
],
[
872,
"872_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
1964,
1196,
9.21689137464761,
0.05,
"True",
"False"
],
[
873,
"873_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
1,
2,
2.9217751913542256,
0.0005,
"False",
"True"
],
[
874,
"874_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
2,
4686,
1674,
6.095120133020592,
0.05,
"False",
"False"
],
[
875,
"875_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
2,
2429,
931,
3.929195453866203,
0.0005,
"False",
"False"
],
[
876,
"876_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
5000,
3833,
7.134271746720392,
0.0005,
"True",
"False"
],
[
877,
"877_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
2,
4990,
1983,
10,
0.0005,
"False",
"False"
],
[
878,
"878_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
2715,
4393,
7.432649635342031,
0.0005,
"True",
"True"
],
[
879,
"879_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.74,
10,
1,
23,
0.001,
0.0005,
"True",
"False"
],
[
880,
"880_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.77,
84,
5000,
39,
0.001,
0.05,
"True",
"True"
],
[
881,
"838_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
5000,
12,
0.001,
0.0005,
"True",
"True"
],
[
882,
"882_0",
"RUNNING",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
741,
4947,
4.813049058413559,
0.008453366362106302,
"False",
"True"
],
[
883,
"883_0",
"RUNNING",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
5000,
5000,
8.399578011100976,
0.05,
"False",
"True"
],
[
884,
"884_0",
"RUNNING",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
5000,
17,
0.001,
0.0005,
"False",
"True"
],
[
885,
"885_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.74,
2,
1,
3342,
0.001,
0.0005,
"False",
"False"
],
[
886,
"886_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
5000,
5000,
4.481270341239706,
0.0005,
"False",
"True"
],
[
887,
"887_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
2,
5000,
4888,
6.678391580713689,
0.05,
"False",
"False"
],
[
888,
"888_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
503,
4784,
8.674468973405299,
0.0005,
"True",
"True"
],
[
889,
"889_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.68,
4,
5000,
3856,
0.001,
0.0005,
"False",
"False"
],
[
890,
"890_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
1324,
4728,
0.001,
0.05,
"True",
"True"
],
[
891,
"891_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
5000,
824,
9.824975539301995,
0.0005,
"True",
"False"
],
[
892,
"892_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.72,
4,
4584,
3074,
0.001,
0.05,
"False",
"False"
],
[
893,
"893_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
20,
1,
651,
0.001,
0.05,
"True",
"False"
],
[
894,
"894_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
1,
4875,
7.176395739246752,
0.05,
"True",
"True"
],
[
895,
"895_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
1334,
3856,
7.418823209622251,
0.05,
"True",
"False"
],
[
896,
"896_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.72,
2,
835,
287,
5.4862172625253205,
0.0005,
"False",
"False"
],
[
897,
"897_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
5000,
4823,
10,
0.05,
"True",
"True"
],
[
898,
"898_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.7,
4,
1,
626,
0.001,
0.0005,
"False",
"False"
],
[
899,
"899_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.67,
3,
5000,
589,
0.001,
0.0005,
"False",
"False"
],
[
900,
"900_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
2,
1,
4631,
10,
0.0005,
"False",
"False"
],
[
901,
"901_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
5000,
4830,
7.106985416308607,
0.0005,
"False",
"True"
],
[
902,
"902_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
2,
1,
4804,
6.8045035485182686,
0.0005,
"False",
"False"
],
[
903,
"903_0",
"RUNNING",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
1,
1172,
10,
0.0005,
"True",
"False"
],
[
904,
"904_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.81,
403,
5000,
2,
2.9462948909082756,
0.05,
"False",
"True"
],
[
905,
"905_0",
"RUNNING",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
1,
3875,
6.497443963465569,
0.0005,
"True",
"False"
],
[
906,
"906_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
2,
4974,
4796,
2.922842665462815,
0.05,
"False",
"False"
],
[
907,
"907_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
5000,
4825,
10,
0.0005,
"True",
"True"
],
[
908,
"908_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.7,
20,
5000,
721,
0.001,
0.05,
"True",
"False"
],
[
909,
"909_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
2313,
4743,
7.0703962925987645,
0.05,
"True",
"True"
],
[
910,
"910_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.63,
4,
1,
4348,
0.001,
0.0005,
"False",
"False"
],
[
911,
"911_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
5000,
3838,
10,
0.05,
"True",
"False"
],
[
912,
"912_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
2,
1,
1222,
6.522511206829821,
0.0005,
"False",
"False"
],
[
913,
"913_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
1,
3854,
7.111003695945507,
0.05,
"True",
"False"
],
[
914,
"914_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.64,
4,
1,
3841,
0.001,
0.0005,
"False",
"False"
],
[
915,
"915_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
5000,
4949,
1.5102807924192896,
0.05,
"True",
"True"
],
[
916,
"916_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
2,
5000,
1382,
10,
0.05,
"False",
"False"
],
[
917,
"917_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
1,
4792,
0.001,
0.05,
"True",
"True"
],
[
918,
"918_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
5000,
215,
10,
0.05,
"True",
"False"
],
[
919,
"919_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
232,
1,
3912,
10,
0.05,
"True",
"False"
],
[
920,
"920_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
5000,
872,
5.631418559554484,
0.0005,
"True",
"False"
],
[
921,
"921_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.77,
133,
5000,
59,
0.001,
0.05,
"True",
"True"
],
[
922,
"922_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
3,
1,
4708,
2.6212765916351675,
0.05,
"False",
"False"
],
[
923,
"923_0",
"RUNNING",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
5000,
4843,
0.001,
0.0005,
"False",
"True"
],
[
924,
"924_0",
"RUNNING",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
1,
4673,
3.2480887239389675,
0.010850246802907571,
"True",
"False"
],
[
925,
"925_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
4,
5000,
2440,
0.001,
0.05,
"False",
"False"
],
[
926,
"926_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
5000,
67,
10,
0.0005,
"True",
"True"
],
[
927,
"927_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.76,
115,
5000,
87,
5.349563919103238,
0.05,
"False",
"True"
],
[
928,
"928_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
5000,
14,
0.001,
0.0005,
"True",
"True"
],
[
929,
"929_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.74,
10,
3311,
27,
0.001,
0.05,
"True",
"False"
],
[
930,
"930_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
5000,
42,
5.355039470043844,
0.0005,
"False",
"True"
],
[
931,
"931_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
3,
1,
4677,
3.8441985771218583,
0.0005,
"False",
"False"
],
[
932,
"932_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
2,
5000,
3546,
10,
0.0005,
"False",
"False"
],
[
933,
"933_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
5000,
4860,
0.001,
0.0005,
"True",
"True"
],
[
934,
"870_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
5000,
13,
0.001,
0.0005,
"True",
"True"
],
[
935,
"935_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
1,
4832,
7.671463563862327,
0.0005,
"True",
"True"
],
[
936,
"936_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
1,
2,
3.1966412044157453,
0.0005,
"False",
"True"
],
[
937,
"937_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.77,
106,
5000,
65,
4.780903028528869,
0.05,
"False",
"True"
],
[
938,
"938_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
5000,
42,
6.261624824500881,
0.0005,
"False",
"True"
],
[
939,
"939_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.72,
3,
530,
3148,
0.001,
0.0005,
"False",
"False"
],
[
940,
"940_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
2,
2854,
4448,
4.563228908749589,
0.05,
"False",
"False"
],
[
941,
"941_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.8,
472,
1,
2,
3.1865450049628308,
0.05,
"False",
"True"
],
[
942,
"942_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
5000,
4955,
3.9857460245386225,
0.0005,
"False",
"True"
],
[
943,
"943_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
2,
4791,
2430,
3.504144494839977,
0.0005,
"False",
"False"
],
[
944,
"944_0",
"RUNNING",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
5000,
2,
6.972526706705733,
0.0005,
"True",
"True"
],
[
945,
"945_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
2,
4940,
1513,
3.71142040299168,
0.0005,
"False",
"False"
],
[
946,
"946_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
5000,
4793,
7.759622136397448,
0.0005,
"False",
"True"
],
[
947,
"947_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
278,
4687,
1.5345286004949845,
0.0005,
"True",
"True"
],
[
948,
"870_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
5000,
13,
0.001,
0.0005,
"True",
"True"
],
[
949,
"949_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.64,
3,
5000,
977,
0.5161854383153611,
0.0005,
"False",
"False"
],
[
950,
"950_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
1,
4608,
7.150902642996035,
0.05,
"False",
"True"
],
[
951,
"951_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
1,
4630,
0.001,
0.05,
"True",
"True"
],
[
952,
"952_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
5000,
176,
10,
0.0005,
"False",
"True"
],
[
953,
"953_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
5000,
215,
10,
0.0005,
"True",
"False"
],
[
954,
"954_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
5000,
129,
10,
0.05,
"True",
"False"
],
[
955,
"955_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
2,
987,
10,
0.0005,
"True",
"False"
],
[
956,
"956_0",
"RUNNING",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
2950,
4306,
10,
0.05,
"False",
"True"
],
[
957,
"957_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.7,
3,
1,
2211,
0.001,
0.0005,
"False",
"False"
],
[
958,
"958_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.68,
38,
5000,
762,
0.001,
0.0005,
"True",
"False"
],
[
959,
"959_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
3,
47,
4669,
6.093914339905893,
0.05,
"False",
"False"
],
[
960,
"960_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
5000,
67,
9.3056763670746,
0.0005,
"True",
"True"
],
[
961,
"961_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
1,
5000,
10,
0.0005,
"False",
"True"
],
[
962,
"962_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
5000,
64,
5.587129452417212,
0.0005,
"False",
"True"
],
[
963,
"963_0",
"RUNNING",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
301,
1498,
10,
0.0005,
"True",
"False"
],
[
964,
"964_0",
"RUNNING",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
2313,
4732,
8.203810181014186,
0.05,
"False",
"True"
],
[
965,
"965_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
2,
5000,
4632,
4.585247171500902,
0.05,
"False",
"False"
],
[
966,
"966_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.74,
9,
1,
19,
0.001,
0.05,
"True",
"False"
],
[
967,
"967_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
5000,
64,
10,
0.0005,
"True",
"True"
],
[
968,
"968_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.77,
90,
5000,
44,
0.001,
0.05,
"False",
"True"
],
[
969,
"969_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
4547,
124,
10,
0.05,
"True",
"False"
],
[
970,
"970_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
2,
1,
760,
10,
0.05,
"False",
"False"
],
[
971,
"971_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
2241,
592,
10,
0.0005,
"True",
"False"
],
[
972,
"972_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
5000,
4901,
0.001,
0.05,
"False",
"True"
],
[
973,
"973_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
2,
4520,
10,
0.05,
"False",
"True"
],
[
974,
"967_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
5000,
64,
10,
0.0005,
"True",
"True"
],
[
975,
"975_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.57,
2,
5000,
4679,
1.2931412661272084,
0.0005,
"False",
"False"
],
[
976,
"976_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
2,
1,
4824,
6.809361774916551,
0.05,
"False",
"False"
],
[
977,
"977_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
5000,
4971,
4.887982017252251,
0.0005,
"False",
"True"
],
[
978,
"978_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
1,
2,
5.062533221193211,
0.0005,
"True",
"False"
],
[
979,
"979_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.75,
138,
5000,
86,
10,
0.05,
"True",
"True"
],
[
980,
"980_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.75,
103,
5000,
81,
9.91522480772342,
0.05,
"False",
"True"
],
[
981,
"981_0",
"FAILED",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
3025,
4392,
7.516003526143204,
0.05,
"True",
"True"
],
[
982,
"982_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.71,
4,
2650,
3278,
0.001,
0.05,
"False",
"False"
],
[
983,
"983_0",
"RUNNING",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
2313,
4717,
5.989661077811997,
0.05,
"True",
"True"
],
[
984,
"984_0",
"RUNNING",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
5000,
4562,
9.390650646118953,
0.0005,
"False",
"True"
],
[
985,
"985_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.76,
122,
5000,
75,
0.001,
0.05,
"False",
"True"
],
[
986,
"986_0",
"COMPLETED",
"BoTorch",
"BOTORCH_MODULAR",
0.65,
48,
5000,
3995,
0.001,
0.05,
"True",
"False"
],
[
987,
"987_0",
"RUNNING",
"BoTorch",
"BOTORCH_MODULAR",
"",
"",
5000,
35,
3.8954087650677343,
0.05,
"False",
"True"
]
];
var tab_job_infos_headers_json = [
"start_time",
"end_time",
"run_time",
"program_string",
"recent_samples_size",
"batch_size",
"gamma",
"alpha",
"use_mmd2",
"use_k2s_test",
"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 = [
[
1746199173,
1746199343,
170,
"module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 Electricity 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 2716 batch_size 4408 gamma 4.765473994359972 alpha 0.05 use_mmd2 True use_k2s_test False",
2716,
4408,
4.765473994359972,
0.05,
"True",
"False",
0.71,
163,
0,
"None",
"i7166",
163,
16199.26171875,
8365.854029605263,
-1,
0,
4904451
],
[
1746200784,
1746200797,
13,
"module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 Electricity 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 4601 batch_size 2334 gamma 10 alpha 0.0005 use_mmd2 False use_k2s_test False",
4601,
2334,
10,
0.0005,
"False",
"False",
0.71,
2,
0,
"None",
"i7179",
2,
486.4375,
483.9205729166667,
-1,
0,
4904812
],
[
1746203988,
1746204001,
13,
"module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 Electricity 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 2948 batch_size 1992 gamma 10 alpha 0.05 use_mmd2 False use_k2s_test False",
2948,
1992,
10,
0.05,
"False",
"False",
0.71,
2,
0,
"None",
"i7175",
2,
487.00390625,
484.4283854166667,
-1,
0,
4905419
],
[
1746206125,
1746206138,
13,
"module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 Electricity 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 3148 batch_size 437 gamma 7.476816049766068 alpha 0.05 use_mmd2 False use_k2s_test False",
3148,
437,
7.476816049766068,
0.05,
"False",
"False",
0.71,
2,
0,
"None",
"i7174",
2,
483.765625,
482.734375,
-1,
0,
4905852
],
[
1746209145,
1746209229,
84,
"module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 Electricity 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1 batch_size 4516 gamma 0.001 alpha 0.05 use_mmd2 True use_k2s_test False",
1,
4516,
0.001,
0.05,
"True",
"False",
0.71,
71,
0,
"None",
"i7180",
71,
6117.29296875,
2744.14921875,
-1,
0.16237994089397859,
4906431
],
[
1746210886,
1746210899,
13,
"module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 Electricity 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 2950 batch_size 4335 gamma 10 alpha 0.0005 use_mmd2 False use_k2s_test False",
2950,
4335,
10,
0.0005,
"False",
"False",
0.71,
2,
0,
"None",
"i7179",
2,
486.96875,
484.8828125,
-1,
0,
4906849
],
[
1746219449,
1746219462,
13,
"module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 Electricity 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1990 batch_size 4604 gamma 10 alpha 0.05 use_mmd2 False use_k2s_test False",
1990,
4604,
10,
0.05,
"False",
"False",
0.71,
2,
0,
"None",
"i7175",
2,
483.2578125,
482.63671875,
-1,
0,
4908843
],
[
1746220408,
1746220421,
13,
"module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 Electricity 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 3295 gamma 3.4033622979236267 alpha 0.0005 use_mmd2 False use_k2s_test False",
5000,
3295,
3.4033622979236267,
0.0005,
"False",
"False",
0.71,
2,
0,
"None",
"i7173",
2,
487.0546875,
484.7369791666667,
-1,
0,
4909078
],
[
1746224385,
1746224398,
13,
"module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 Electricity 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1594 batch_size 5000 gamma 6.813980632035913 alpha 0.05 use_mmd2 False use_k2s_test False",
1594,
5000,
6.813980632035913,
0.05,
"False",
"False",
0.71,
2,
0,
"None",
"i7176",
2,
485.06640625,
484.1861979166667,
-1,
0,
4909953
],
[
1746225251,
1746225277,
26,
"module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 Electricity 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 2430 batch_size 1038 gamma 10 alpha 0.05 use_mmd2 False use_k2s_test False",
2430,
1038,
10,
0.05,
"False",
"False",
0.71,
2,
0,
"None",
"i7178",
2,
463.80859375,
460.7643229166667,
-1,
0,
4910133
],
[
1746226455,
1746226525,
70,
"module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 Electricity 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 3451 batch_size 2 gamma 0.001 alpha 0.0005 use_mmd2 False use_k2s_test False",
3451,
2,
0.001,
0.0005,
"False",
"False",
0.71,
57,
0,
"None",
"i7183",
57,
487.8125,
484.4169921875,
-1,
0,
4910381
],
[
1746227470,
1746227483,
13,
"module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 Electricity 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 2231 batch_size 1092 gamma 6.58332191717336 alpha 0.0005 use_mmd2 False use_k2s_test False",
2231,
1092,
6.58332191717336,
0.0005,
"False",
"False",
0.71,
2,
0,
"None",
"i7181",
2,
487.76953125,
485.015625,
-1,
0,
4910594
],
[
1746228570,
1746228704,
134,
"module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 Electricity 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 54 gamma 10 alpha 0.05 use_mmd2 False use_k2s_test True",
5000,
54,
10,
0.05,
"False",
"True",
0.76,
121,
0,
"None",
"i7186",
121,
584.296875,
529.4940104166667,
-1,
0.9537541558921315,
4910808
],
[
1746229449,
1746229468,
19,
"module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 Electricity 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1 batch_size 39 gamma 0.001 alpha 0.05 use_mmd2 True use_k2s_test False",
1,
39,
0.001,
0.05,
"True",
"False",
0.7,
9,
0,
"None",
"i7184",
9,
488.59375,
485.2981770833333,
-1,
0.2647303287772442,
4910980
],
[
1746232569,
1746232939,
370,
"module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 Electricity 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1 batch_size 2 gamma 5.231344971968318 alpha 0.05 use_mmd2 True use_k2s_test True",
1,
2,
5.231344971968318,
0.05,
"True",
"True",
0.81,
358,
0,
"None",
"i7181",
358,
573.62890625,
520.705900493421,
-1,
0.6190201329885482,
4911658
],
[
1746235710,
1746235723,
13,
"module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 Electricity 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 228 batch_size 3781 gamma 10 alpha 0.05 use_mmd2 False use_k2s_test False",
228,
3781,
10,
0.05,
"False",
"False",
0.71,
2,
0,
"None",
"i7178",
2,
483.76171875,
482.8229166666667,
-1,
0,
4912361
],
[
1746236591,
1746237016,
425,
"module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 Electricity 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 674 batch_size 2 gamma 4.549490379732314 alpha 0.05 use_mmd2 False use_k2s_test True",
674,
2,
4.549490379732314,
0.05,
"False",
"True",
0.81,
411,
0,
"None",
"i7178",
411,
577.21484375,
497.60884232954544,
-1,
0.618188954562246,
4912547
],
[
1746242612,
1746242625,
13,
"module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 Electricity 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 3428 batch_size 3650 gamma 10 alpha 0.05 use_mmd2 False use_k2s_test False",
3428,
3650,
10,
0.05,
"False",
"False",
0.71,
2,
0,
"None",
"i7176",
2,
485.10546875,
483.1536458333333,
-1,
0,
4913909
],
[
1746246412,
1746246425,
13,
"module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 Electricity 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1386 batch_size 4885 gamma 7.944664950970621 alpha 0.0005 use_mmd2 False use_k2s_test False",
1386,
4885,
7.944664950970621,
0.0005,
"False",
"False",
0.71,
2,
0,
"None",
"i7173",
2,
485.546875,
484.0364583333333,
-1,
0,
4914689
],
[
1746247151,
1746247506,
355,
"module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 Electricity 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 3598 batch_size 2 gamma 4.75605638948542 alpha 0.05 use_mmd2 False use_k2s_test True",
3598,
2,
4.75605638948542,
0.05,
"False",
"True",
0.81,
342,
0,
"None",
"i7183",
342,
574.85546875,
493.96558277027026,
-1,
0.618188954562246,
4914833
],
[
1746254193,
1746254206,
13,
"module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 Electricity 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 2028 batch_size 2503 gamma 10 alpha 0.05 use_mmd2 False use_k2s_test False",
2028,
2503,
10,
0.05,
"False",
"False",
0.71,
2,
0,
"None",
"i7182",
2,
486.85546875,
484.72265625,
-1,
0,
4916267
],
[
1746256472,
1746256485,
13,
"module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 Electricity 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1661 batch_size 1393 gamma 0.001 alpha 0.0005 use_mmd2 False use_k2s_test False",
1661,
1393,
0.001,
0.0005,
"False",
"False",
0.67,
3,
0,
"None",
"i7176",
3,
484.11328125,
484.0598958333333,
-1,
0.289457886959734,
4916734
],
[
1746269855,
1746269919,
64,
"module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 Electricity 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 2 gamma 1.6573345757203237 alpha 0.05 use_mmd2 True use_k2s_test False",
5000,
2,
1.6573345757203237,
0.05,
"True",
"False",
0.72,
56,
0,
"None",
"i7183",
56,
521.8984375,
489.83447265625,
-1,
0.05084041374214998,
4920826
],
[
1746270874,
1746271076,
202,
"module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 Electricity 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 3487 batch_size 4320 gamma 10 alpha 0.05 use_mmd2 True use_k2s_test False",
3487,
4320,
10,
0.05,
"True",
"False",
0.71,
194,
0,
"None",
"i7167",
194,
16194.9921875,
10393.019353693182,
-1,
0,
4921161
],
[
1746273764,
1746273777,
13,
"module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 Electricity 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 308 gamma 10 alpha 0.0005 use_mmd2 False use_k2s_test False",
5000,
308,
10,
0.0005,
"False",
"False",
0.71,
2,
0,
"None",
"i7175",
2,
481.80859375,
480.5677083333333,
-1,
0,
4921895
],
[
1746276036,
1746276468,
432,
"module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 Electricity 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 4887 batch_size 2051 gamma 9.696017891792952 alpha 0.0005 use_mmd2 True use_k2s_test False",
4887,
2051,
9.696017891792952,
0.0005,
"True",
"False",
0.71,
422,
0,
"None",
"i7186",
422,
16201.140625,
9741.781336805556,
-1,
0,
4922369
],
[
1746279283,
1746279296,
13,
"module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 Electricity 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 2764 batch_size 2365 gamma 0.001 alpha 0.05 use_mmd2 False use_k2s_test False",
2764,
2365,
0.001,
0.05,
"False",
"False",
0.69,
3,
0,
"None",
"i7181",
3,
483.578125,
483.4661458333333,
-1,
0.3276228297007758,
4923093
],
[
1746280095,
1746280108,
13,
"module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 Electricity 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 1077 gamma 6.467454826122086 alpha 0.05 use_mmd2 False use_k2s_test False",
5000,
1077,
6.467454826122086,
0.05,
"False",
"False",
0.71,
2,
0,
"None",
"i7181",
2,
487.9453125,
484.9088541666667,
-1,
0,
4923313
],
[
1746283156,
1746283411,
255,
"module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 Electricity 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 4135 gamma 10 alpha 0.0005 use_mmd2 True use_k2s_test False",
5000,
4135,
10,
0.0005,
"True",
"False",
0.71,
242,
0,
"None",
"i7181",
242,
16200.90625,
9403.843894675925,
-1,
0,
4924071
],
[
1746287116,
1746287499,
383,
"module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 Electricity 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1 batch_size 2 gamma 8.294210402646593 alpha 0.05 use_mmd2 True use_k2s_test True",
1,
2,
8.294210402646593,
0.05,
"True",
"True",
0.8,
373,
0,
"None",
"i7181",
373,
575.2890625,
520.858984375,
-1,
0.617865718507573,
4924930
],
[
1746297778,
1746298116,
338,
"module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 Electricity 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1422 batch_size 2 gamma 3.323273132209935 alpha 0.05 use_mmd2 False use_k2s_test True",
1422,
2,
3.323273132209935,
0.05,
"False",
"True",
0.81,
325,
0,
"None",
"i7183",
325,
575.25,
496.73995535714283,
-1,
0.617819541928334,
4927346
],
[
1746301598,
1746301618,
20,
"module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 Electricity 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 38 gamma 0.001 alpha 0.05 use_mmd2 True use_k2s_test False",
5000,
38,
0.001,
0.05,
"True",
"False",
0.69,
9,
0,
"None",
"i7182",
9,
488.57421875,
484.6302083333333,
-1,
0.20003694126339122,
4928271
],
[
1746304279,
1746304649,
370,
"module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 Electricity 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 4071 batch_size 2921 gamma 10 alpha 0.05 use_mmd2 True use_k2s_test False",
4071,
2921,
10,
0.05,
"True",
"False",
0.71,
358,
0,
"None",
"i7180",
358,
16199.39453125,
8944.406969572368,
-1,
0,
4928834
],
[
1746305079,
1746305092,
13,
"module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 Electricity 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1908 batch_size 3922 gamma 5.840211764283463 alpha 0.05 use_mmd2 False use_k2s_test False",
1908,
3922,
5.840211764283463,
0.05,
"False",
"False",
0.71,
2,
0,
"None",
"i7174",
2,
485.78125,
484.0598958333333,
-1,
0,
4929001
],
[
1746307696,
1746308048,
352,
"module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 Electricity 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1575 batch_size 2 gamma 10 alpha 0.05 use_mmd2 False use_k2s_test True",
1575,
2,
10,
0.05,
"False",
"True",
0.81,
339,
0,
"None",
"i7183",
339,
575.55859375,
495.2249348958333,
-1,
0.6186276320650166,
4929643
],
[
1746308657,
1746308670,
13,
"module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 Electricity 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1807 batch_size 601 gamma 5.475732086789453 alpha 0.05 use_mmd2 False use_k2s_test False",
1807,
601,
5.475732086789453,
0.05,
"False",
"False",
0.71,
2,
0,
"None",
"i7185",
2,
482.62109375,
481.3763020833333,
-1,
0,
4929839
],
[
1746311677,
1746311812,
135,
"module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 Electricity 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 46 gamma 0.001 alpha 0.05 use_mmd2 True use_k2s_test True",
5000,
46,
0.001,
0.05,
"True",
"True",
0.77,
125,
0,
"None",
"i7178",
125,
579.25,
540.8643229166667,
-1,
0.9532462135205024,
4930458
],
[
1746313598,
1746313706,
108,
"module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 Electricity 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 57 gamma 10 alpha 0.05 use_mmd2 True use_k2s_test True",
5000,
57,
10,
0.05,
"True",
"True",
0.76,
98,
0,
"None",
"i7185",
98,
581.8984375,
520.8785807291666,
-1,
0.9527151828592538,
4930863
],
[
1746322098,
1746322231,
133,
"module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 Electricity 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 29 gamma 9.668050312316463 alpha 0.05 use_mmd2 True use_k2s_test True",
5000,
29,
9.668050312316463,
0.05,
"True",
"True",
0.78,
119,
0,
"None",
"i7180",
119,
578.61328125,
542.62109375,
-1,
0.9535001847063169,
4932747
],
[
1746322938,
1746323189,
251,
"module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 Electricity 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 4813 gamma 6.892078189866675 alpha 0.0005 use_mmd2 True use_k2s_test False",
5000,
4813,
6.892078189866675,
0.0005,
"True",
"False",
0.71,
237,
0,
"None",
"i7180",
237,
16196.96484375,
9277.427283653846,
-1,
0,
4932906
],
[
1746324039,
1746324052,
13,
"module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 Electricity 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 1458 gamma 5.8047166004865955 alpha 0.05 use_mmd2 False use_k2s_test False",
5000,
1458,
5.8047166004865955,
0.05,
"False",
"False",
0.71,
2,
0,
"None",
"i7180",
2,
486.8046875,
484.234375,
-1,
0,
4933147
],
[
1746325298,
1746325318,
20,
"module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 Electricity 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 27 gamma 0.001 alpha 0.0005 use_mmd2 True use_k2s_test False",
5000,
27,
0.001,
0.0005,
"True",
"False",
0.74,
9,
0,
"None",
"i7184",
9,
488.2734375,
483.7877604166667,
-1,
0.41704377539711857,
4933425
],
[
1746326579,
1746326592,
13,
"module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 Electricity 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 4328 batch_size 2945 gamma 10 alpha 0.0005 use_mmd2 False use_k2s_test False",
4328,
2945,
10,
0.0005,
"False",
"False",
0.71,
2,
0,
"None",
"i7186",
2,
485.16015625,
484.046875,
-1,
0,
4933747
],
[
1746328788,
1746328895,
107,
"module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 Electricity 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 17 gamma 0.001 alpha 0.05 use_mmd2 True use_k2s_test True",
5000,
17,
0.001,
0.05,
"True",
"True",
0.78,
96,
0,
"None",
"i7176",
96,
576.05078125,
529.4055989583334,
-1,
0.9535463612855559,
4934196
],
[
1746331279,
1746331292,
13,
"module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 Electricity 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 14 batch_size 3372 gamma 0.001 alpha 0.05 use_mmd2 False use_k2s_test False",
14,
3372,
0.001,
0.05,
"False",
"False",
0.74,
2,
0,
"None",
"i7180",
2,
483.5546875,
483.4244791666667,
-1,
0.10955393424455116,
4934688
],
[
1746332259,
1746332373,
114,
"module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 Electricity 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 30 gamma 9.154486050235587 alpha 0.05 use_mmd2 False use_k2s_test True",
5000,
30,
9.154486050235587,
0.05,
"False",
"True",
0.78,
102,
0,
"None",
"i7181",
102,
578.86328125,
527.9639423076923,
-1,
0.9533385666789804,
4934867
],
[
1746334319,
1746334414,
95,
"module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 Electricity 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 28 gamma 0.001 alpha 0.05 use_mmd2 False use_k2s_test True",
5000,
28,
0.001,
0.05,
"False",
"True",
0.77,
86,
0,
"None",
"i7176",
86,
578.26171875,
518.5720880681819,
-1,
0.9532923900997414,
4935313
],
[
1746339460,
1746339473,
13,
"module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 Electricity 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 3417 gamma 0.001 alpha 0.05 use_mmd2 False use_k2s_test False",
5000,
3417,
0.001,
0.05,
"False",
"False",
0.72,
2,
0,
"None",
"i7182",
2,
483.265625,
483.2252604166667,
-1,
0.11163188031030662,
4936458
],
[
1746340420,
1746340458,
38,
"module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 Electricity 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 4580 batch_size 3455 gamma 0.001 alpha 0.0005 use_mmd2 True use_k2s_test False",
4580,
3455,
0.001,
0.0005,
"True",
"False",
0.69,
27,
0,
"None",
"i7176",
27,
1316.0859375,
729.06015625,
-1,
0.4324667528629479,
4936679
],
[
1746355302,
1746355668,
366,
"module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 Electricity 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1642 batch_size 2 gamma 6.203379767889251 alpha 0.05 use_mmd2 False use_k2s_test True",
1642,
2,
6.203379767889251,
0.05,
"False",
"True",
0.81,
352,
0,
"None",
"i7184",
352,
573.53125,
494.0953947368421,
-1,
0.617958071666051,
4939679
],
[
1746356302,
1746356410,
108,
"module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 Electricity 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 59 gamma 0.001 alpha 0.05 use_mmd2 False use_k2s_test True",
5000,
59,
0.001,
0.05,
"False",
"True",
0.77,
100,
0,
"None",
"i7185",
100,
584.1796875,
522.6002604166666,
-1,
0.9537079793128925,
4939883
],
[
1746367163,
1746367554,
391,
"module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 Electricity 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1 batch_size 2 gamma 6.19612741915123 alpha 0.05 use_mmd2 False use_k2s_test True",
1,
2,
6.19612741915123,
0.05,
"False",
"True",
0.8,
380,
0,
"None",
"i7175",
380,
574.05078125,
494.0119140625,
-1,
0.6189277798300702,
4942478
],
[
1746381145,
1746381159,
14,
"module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 Electricity 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 3440 gamma 0.001 alpha 0.0005 use_mmd2 False use_k2s_test False",
5000,
3440,
0.001,
0.0005,
"False",
"False",
0.72,
3,
0,
"None",
"i7181",
3,
482.96875,
482.8802083333333,
-1,
0.11269394163280384,
4945131
],
[
1746382616,
1746382629,
13,
"module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 Electricity 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1 batch_size 3284 gamma 3.2844774853732455 alpha 0.05 use_mmd2 False use_k2s_test False",
1,
3284,
3.2844774853732455,
0.05,
"False",
"False",
0.71,
2,
0,
"None",
"i7180",
2,
486.65625,
484.2643229166667,
-1,
0,
4945393
],
[
1746386576,
1746386589,
13,
"module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 Electricity 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1 batch_size 4134 gamma 10 alpha 0.0005 use_mmd2 False use_k2s_test False",
1,
4134,
10,
0.0005,
"False",
"False",
0.71,
2,
0,
"None",
"i7181",
2,
485.13671875,
483.0325520833333,
-1,
0,
4946174
],
[
1746388346,
1746388448,
102,
"module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 Electricity 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 33 gamma 0.001 alpha 0.05 use_mmd2 True use_k2s_test True",
5000,
33,
0.001,
0.05,
"True",
"True",
0.77,
88,
0,
"None",
"i7182",
88,
581.640625,
534.9591619318181,
-1,
0.9534770964166974,
4946487
],
[
1746390167,
1746390551,
384,
"module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 Electricity 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 3598 batch_size 2 gamma 4.967522476097543 alpha 0.05 use_mmd2 True use_k2s_test True",
3598,
2,
4.967522476097543,
0.05,
"True",
"True",
0.81,
372,
0,
"None",
"i7183",
372,
575.125,
520.16865234375,
-1,
0.6169883635020318,
4946850
],
[
1746393299,
1746393318,
19,
"module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 Electricity 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 4909 gamma 7.697762456730319 alpha 0.0005 use_mmd2 False use_k2s_test False",
5000,
4909,
7.697762456730319,
0.0005,
"False",
"False",
0.71,
2,
0,
"None",
"i7181",
2,
484.27734375,
483.4505208333333,
-1,
0,
4947392
],
[
1746394750,
1746394763,
13,
"module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 Electricity 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 260 gamma 7.7047296066013535 alpha 0.05 use_mmd2 False use_k2s_test False",
5000,
260,
7.7047296066013535,
0.05,
"False",
"False",
0.71,
2,
0,
"None",
"i7186",
2,
481.6796875,
480.4361979166667,
-1,
0,
4947675
],
[
1746397077,
1746397103,
26,
"module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 Electricity 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 21 gamma 0.001 alpha 0.05 use_mmd2 True use_k2s_test False",
5000,
21,
0.001,
0.05,
"True",
"False",
0.74,
13,
0,
"None",
"i7184",
13,
487.30078125,
485.0634765625,
-1,
0.3961257850018471,
4948099
],
[
1746400677,
1746400690,
13,
"module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 Electricity 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 2158 gamma 0.001 alpha 0.05 use_mmd2 False use_k2s_test False",
5000,
2158,
0.001,
0.05,
"False",
"False",
0.67,
4,
0,
"None",
"i7181",
4,
482.4609375,
482.4166666666667,
-1,
0.3985962319911341,
4948761
],
[
1746403348,
1746403361,
13,
"module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 Electricity 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1 batch_size 1780 gamma 7.656290575813417 alpha 0.05 use_mmd2 False use_k2s_test False",
1,
1780,
7.656290575813417,
0.05,
"False",
"False",
0.71,
2,
0,
"None",
"i7183",
2,
486.46875,
483.7434895833333,
-1,
0,
4949208
],
[
1746415138,
1746415265,
127,
"module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 Electricity 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 24 gamma 4.762494796736499 alpha 0.05 use_mmd2 True use_k2s_test True",
5000,
24,
4.762494796736499,
0.05,
"True",
"True",
0.78,
113,
0,
"None",
"i7186",
113,
577.359375,
537.1026785714286,
-1,
0.9534770964166974,
4951408
],
[
1746423931,
1746423944,
13,
"module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 Electricity 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 837 gamma 6.535814257592505 alpha 0.05 use_mmd2 False use_k2s_test False",
5000,
837,
6.535814257592505,
0.05,
"False",
"False",
0.71,
2,
0,
"None",
"i7186",
2,
486.8828125,
483.87109375,
-1,
0,
4953084
],
[
1746426731,
1746426744,
13,
"module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 Electricity 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1 batch_size 3365 gamma 0.001 alpha 0.0005 use_mmd2 False use_k2s_test False",
1,
3365,
0.001,
0.0005,
"False",
"False",
0.74,
2,
0,
"None",
"i7176",
2,
482.03125,
481.921875,
-1,
0.1092306981898781,
4953539
],
[
1746431232,
1746431251,
19,
"module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 Electricity 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1 batch_size 4823 gamma 0.4716786107920515 alpha 0.0005 use_mmd2 False use_k2s_test False",
1,
4823,
0.4716786107920515,
0.0005,
"False",
"False",
0.66,
4,
0,
"None",
"i7170",
4,
481.89453125,
481.6419270833333,
-1,
0.39926579239009974,
4954878
],
[
1746434957,
1746435021,
64,
"module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 Electricity 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 2 gamma 0.001 alpha 0.0005 use_mmd2 False use_k2s_test False",
5000,
2,
0.001,
0.0005,
"False",
"False",
0.71,
51,
0,
"None",
"i7185",
51,
487.58984375,
484.88525390625,
-1,
0,
4955548
],
[
1746448684,
1746448836,
152,
"module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 Electricity 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 64 gamma 5.821018871895616 alpha 0.05 use_mmd2 True use_k2s_test True",
5000,
64,
5.821018871895616,
0.05,
"True",
"True",
0.76,
140,
0,
"None",
"i7180",
140,
583.75390625,
532.57861328125,
-1,
0.9527382711488733,
4958571
],
[
1746451771,
1746451797,
26,
"module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 Electricity 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1207 batch_size 3487 gamma 10 alpha 0.0005 use_mmd2 False use_k2s_test False",
1207,
3487,
10,
0.0005,
"False",
"False",
0.71,
2,
0,
"None",
"i7183",
2,
485.55859375,
483.64453125,
-1,
0,
4959181
],
[
1746454118,
1746454486,
368,
"module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 Electricity 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 4298 batch_size 2 gamma 4.133795292862948 alpha 0.05 use_mmd2 True use_k2s_test True",
4298,
2,
4.133795292862948,
0.05,
"True",
"True",
0.81,
354,
0,
"None",
"i7183",
354,
575.11328125,
522.0881990131579,
-1,
0.6172192463982268,
4959768
],
[
1746463241,
1746463254,
13,
"module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 Electricity 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1 batch_size 3864 gamma 10 alpha 0.0005 use_mmd2 False use_k2s_test False",
1,
3864,
10,
0.0005,
"False",
"False",
0.71,
2,
0,
"None",
"i7180",
2,
483.5,
482.7018229166667,
-1,
0,
4961444
],
[
1746468266,
1746468579,
313,
"module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 Electricity 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1 batch_size 4066 gamma 10 alpha 0.05 use_mmd2 True use_k2s_test False",
1,
4066,
10,
0.05,
"True",
"False",
0.71,
271,
0,
"None",
"i7178",
271,
16186.82421875,
9543.7578125,
-1,
0,
4962322
],
[
1746469724,
1746469737,
13,
"module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 Electricity 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 205 gamma 10 alpha 0.0005 use_mmd2 False use_k2s_test False",
5000,
205,
10,
0.0005,
"False",
"False",
0.71,
2,
0,
"None",
"i7185",
2,
482.3046875,
481.0638020833333,
-1,
0,
4962544
],
[
1746471324,
1746471674,
350,
"module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 Electricity 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1551 batch_size 2 gamma 3.5191032117948615 alpha 0.05 use_mmd2 True use_k2s_test True",
1551,
2,
3.5191032117948615,
0.05,
"True",
"True",
0.81,
342,
0,
"None",
"i7185",
342,
575.34765625,
519.2411317567568,
-1,
0.6165727742888807,
4962810
],
[
1746477623,
1746477960,
337,
"module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 Electricity 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 4298 batch_size 2 gamma 5.442991935734684 alpha 0.05 use_mmd2 False use_k2s_test True",
4298,
2,
5.442991935734684,
0.05,
"False",
"True",
0.81,
323,
0,
"None",
"i7181",
323,
573.9921875,
495.59921875,
-1,
0.618235131141485,
4963913
],
[
1746479724,
1746479744,
20,
"module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 Electricity 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 1248 gamma 6.545306227731996 alpha 0.05 use_mmd2 False use_k2s_test False",
5000,
1248,
6.545306227731996,
0.05,
"False",
"False",
0.71,
2,
0,
"None",
"i7180",
2,
486.1328125,
483.3151041666667,
-1,
0,
4964271
],
[
1746481164,
1746481177,
13,
"module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 Electricity 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 4734 batch_size 1257 gamma 6.265521021634201 alpha 0.0005 use_mmd2 False use_k2s_test False",
4734,
1257,
6.265521021634201,
0.0005,
"False",
"False",
0.71,
1,
0,
"None",
"i7183",
1,
487.8125,
484.9388020833333,
-1,
0,
4964484
],
[
1746482494,
1746482507,
13,
"module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 Electricity 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 2488 gamma 10 alpha 0.05 use_mmd2 False use_k2s_test False",
5000,
2488,
10,
0.05,
"False",
"False",
0.71,
2,
0,
"None",
"i7183",
2,
487.6796875,
484.9075520833333,
-1,
0,
4964712
],
[
1746486124,
1746486137,
13,
"module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 Electricity 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 502 batch_size 2922 gamma 10 alpha 0.05 use_mmd2 False use_k2s_test False",
502,
2922,
10,
0.05,
"False",
"False",
0.71,
2,
0,
"None",
"i7180",
2,
484.28125,
483.37890625,
-1,
0,
4965360
],
[
1746492506,
1746492621,
115,
"module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 Electricity 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 42 gamma 5.4085100448507575 alpha 0.05 use_mmd2 True use_k2s_test True",
5000,
42,
5.4085100448507575,
0.05,
"True",
"True",
0.77,
102,
0,
"None",
"i7182",
102,
578.6953125,
534.5615985576923,
-1,
0.9536156261544145,
4966482
],
[
1746494747,
1746494861,
114,
"module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 Electricity 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 27 gamma 4.765355452681515 alpha 0.05 use_mmd2 False use_k2s_test True",
5000,
27,
4.765355452681515,
0.05,
"False",
"True",
0.77,
100,
0,
"None",
"i7185",
100,
579.015625,
521.0733173076923,
-1,
0.9537541558921315,
4966859
],
[
1746507570,
1746507583,
13,
"module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 Electricity 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 3077 batch_size 3317 gamma 0.001 alpha 0.0005 use_mmd2 False use_k2s_test False",
3077,
3317,
0.001,
0.0005,
"False",
"False",
0.74,
3,
0,
"None",
"i7181",
3,
482.25,
482.1927083333333,
-1,
0.18359807905430367,
4968952
],
[
1746508371,
1746508385,
14,
"module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 Electricity 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 3299 gamma 0.001 alpha 0.0005 use_mmd2 False use_k2s_test False",
5000,
3299,
0.001,
0.0005,
"False",
"False",
0.72,
3,
0,
"None",
"i7183",
3,
482.41796875,
482.3072916666667,
-1,
0.3346878463243443,
4969072
],
[
1746513496,
1746513604,
108,
"module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 Electricity 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 24 gamma 0.001 alpha 0.05 use_mmd2 True use_k2s_test True",
5000,
24,
0.001,
0.05,
"True",
"True",
0.78,
90,
0,
"None",
"i7182",
90,
577.41015625,
530.4140625,
-1,
0.9534770964166974,
4969954
],
[
1746516919,
1746517279,
360,
"module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 Electricity 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 4781 batch_size 2395 gamma 10 alpha 0.05 use_mmd2 True use_k2s_test False",
4781,
2395,
10,
0.05,
"True",
"False",
0.71,
341,
0,
"None",
"i7181",
341,
16201.81640625,
10322.370038006757,
-1,
0,
4970519
],
[
1746525493,
1746525916,
423,
"module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 Electricity 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 674 batch_size 2 gamma 3.0998617043054 alpha 0.05 use_mmd2 True use_k2s_test True",
674,
2,
3.0998617043054,
0.05,
"True",
"True",
0.8,
407,
0,
"None",
"i7186",
407,
576.7890625,
522.7439135174419,
-1,
0.617819541928334,
4971948
],
[
1746541409,
1746541795,
386,
"module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 Electricity 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 824 batch_size 2 gamma 6.014842820408552 alpha 0.05 use_mmd2 False use_k2s_test True",
824,
2,
6.014842820408552,
0.05,
"False",
"True",
0.81,
328,
0,
"None",
"i7183",
328,
574.2890625,
495.7409598214286,
-1,
0.6173115995567049,
4975010
],
[
1746544833,
1746545018,
185,
"module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 Electricity 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 9 gamma 0.001 alpha 0.05 use_mmd2 True use_k2s_test True",
5000,
9,
0.001,
0.05,
"True",
"True",
0.8,
159,
0,
"None",
"i7184",
159,
576.9921875,
535.6851128472222,
-1,
0.9535463612855559,
4975608
],
[
1746548179,
1746548211,
32,
"module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 Electricity 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 4686 batch_size 1674 gamma 6.095120133020592 alpha 0.05 use_mmd2 False use_k2s_test False",
4686,
1674,
6.095120133020592,
0.05,
"False",
"False",
0.71,
2,
0,
"None",
"i7178",
2,
485.7734375,
483.1901041666667,
-1,
0,
4976104
],
[
1746549439,
1746549484,
45,
"module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 Electricity 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 2429 batch_size 931 gamma 3.929195453866203 alpha 0.0005 use_mmd2 False use_k2s_test False",
2429,
931,
3.929195453866203,
0.0005,
"False",
"False",
0.71,
2,
0,
"None",
"i7182",
2,
489.3125,
486.9322916666667,
-1,
0,
4976292
],
[
1746552514,
1746552534,
20,
"module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 Electricity 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 4990 batch_size 1983 gamma 10 alpha 0.0005 use_mmd2 False use_k2s_test False",
4990,
1983,
10,
0.0005,
"False",
"False",
0.71,
2,
0,
"None",
"i7183",
2,
486,
483.70703125,
-1,
0,
4976799
],
[
1746555198,
1746555224,
26,
"module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 Electricity 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1 batch_size 23 gamma 0.001 alpha 0.0005 use_mmd2 True use_k2s_test False",
1,
23,
0.001,
0.0005,
"True",
"False",
0.74,
10,
0,
"None",
"i7184",
10,
487.32421875,
485.0625,
-1,
0.4476588474325822,
4977205
],
[
1746556426,
1746556521,
95,
"module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 Electricity 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 39 gamma 0.001 alpha 0.05 use_mmd2 True use_k2s_test True",
5000,
39,
0.001,
0.05,
"True",
"True",
0.77,
84,
0,
"None",
"i7182",
84,
578.19140625,
531.9453125,
-1,
0.9533385666789804,
4977386
],
[
1746563533,
1746563546,
13,
"module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 Electricity 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1 batch_size 3342 gamma 0.001 alpha 0.0005 use_mmd2 False use_k2s_test False",
1,
3342,
0.001,
0.0005,
"False",
"False",
0.74,
2,
0,
"None",
"i7185",
2,
482.58203125,
482.41015625,
-1,
0.10816863686738086,
4978598
],
[
1746572123,
1746572136,
13,
"module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 Electricity 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 4888 gamma 6.678391580713689 alpha 0.05 use_mmd2 False use_k2s_test False",
5000,
4888,
6.678391580713689,
0.05,
"False",
"False",
0.71,
2,
0,
"None",
"i7183",
2,
485.0078125,
483.4856770833333,
-1,
0,
4979908
],
[
1746574826,
1746574839,
13,
"module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 Electricity 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 3856 gamma 0.001 alpha 0.0005 use_mmd2 False use_k2s_test False",
5000,
3856,
0.001,
0.0005,
"False",
"False",
0.68,
4,
0,
"None",
"i7180",
4,
482.90625,
482.7981770833333,
-1,
0.30996028814185445,
4980366
],
[
1746578808,
1746578827,
19,
"module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 Electricity 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 4584 batch_size 3074 gamma 0.001 alpha 0.05 use_mmd2 False use_k2s_test False",
4584,
3074,
0.001,
0.05,
"False",
"False",
0.72,
4,
0,
"None",
"i7185",
4,
480.45703125,
480.4140625,
-1,
0.3796869227927595,
4981012
],
[
1746580096,
1746580129,
33,
"module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 Electricity 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1 batch_size 651 gamma 0.001 alpha 0.05 use_mmd2 True use_k2s_test False",
1,
651,
0.001,
0.05,
"True",
"False",
0.71,
20,
0,
"None",
"i7185",
20,
881.30078125,
600.73671875,
-1,
0.2254571481344662,
4981203
],
[
1746585847,
1746585860,
13,
"module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 Electricity 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 835 batch_size 287 gamma 5.4862172625253205 alpha 0.0005 use_mmd2 False use_k2s_test False",
835,
287,
5.4862172625253205,
0.0005,
"False",
"False",
0.72,
2,
0,
"None",
"i7183",
2,
482.734375,
482.6197916666667,
-1,
0.006626339120797931,
4982081
],
[
1746589453,
1746589472,
19,
"module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 Electricity 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1 batch_size 626 gamma 0.001 alpha 0.0005 use_mmd2 False use_k2s_test False",
1,
626,
0.001,
0.0005,
"False",
"False",
0.7,
4,
0,
"None",
"i7181",
4,
480.3515625,
480.2395833333333,
-1,
0.24570557813077207,
4982657
],
[
1746590972,
1746590991,
19,
"module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 Electricity 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 589 gamma 0.001 alpha 0.0005 use_mmd2 False use_k2s_test False",
5000,
589,
0.001,
0.0005,
"False",
"False",
0.67,
3,
0,
"None",
"i7186",
3,
481.6484375,
481.6015625,
-1,
0.14958902844477281,
4982883
],
[
1746592749,
1746592775,
26,
"module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 Electricity 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1 batch_size 4631 gamma 10 alpha 0.0005 use_mmd2 False use_k2s_test False",
1,
4631,
10,
0.0005,
"False",
"False",
0.71,
2,
0,
"None",
"i7183",
2,
482.93359375,
482.7395833333333,
-1,
0,
4983176
],
[
1746596536,
1746596555,
19,
"module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 Electricity 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1 batch_size 4804 gamma 6.8045035485182686 alpha 0.0005 use_mmd2 False use_k2s_test False",
1,
4804,
6.8045035485182686,
0.0005,
"False",
"False",
0.71,
2,
0,
"None",
"i7181",
2,
486.2109375,
483.8567708333333,
-1,
0,
4983720
],
[
1746601028,
1746601448,
420,
"module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 Electricity 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 2 gamma 2.9462948909082756 alpha 0.05 use_mmd2 False use_k2s_test True",
5000,
2,
2.9462948909082756,
0.05,
"False",
"True",
0.81,
403,
0,
"None",
"i7180",
403,
573.96484375,
501.0197129360465,
-1,
0.6201745474695235,
4984403
],
[
1746612457,
1746612476,
19,
"module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 Electricity 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 4974 batch_size 4796 gamma 2.922842665462815 alpha 0.05 use_mmd2 False use_k2s_test False",
4974,
4796,
2.922842665462815,
0.05,
"False",
"False",
0.71,
2,
0,
"None",
"i7179",
2,
479.19921875,
477.796875,
-1,
0,
4986263
],
[
1746616717,
1746616749,
32,
"module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 Electricity 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 721 gamma 0.001 alpha 0.05 use_mmd2 True use_k2s_test False",
5000,
721,
0.001,
0.05,
"True",
"False",
0.7,
20,
0,
"None",
"i7182",
20,
1018.54296875,
630.3232421875,
-1,
0.349579793128925,
4986999
],
[
1746620724,
1746620743,
19,
"module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 Electricity 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1 batch_size 4348 gamma 0.001 alpha 0.0005 use_mmd2 False use_k2s_test False",
1,
4348,
0.001,
0.0005,
"False",
"False",
0.63,
4,
0,
"None",
"i7185",
4,
481.8125,
481.5546875,
-1,
0.35539804211304027,
4987602
],
[
1746624856,
1746624895,
39,
"module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 Electricity 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1 batch_size 1222 gamma 6.522511206829821 alpha 0.0005 use_mmd2 False use_k2s_test False",
1,
1222,
6.522511206829821,
0.0005,
"False",
"False",
0.71,
2,
0,
"None",
"i7181",
2,
486.51171875,
483.6380208333333,
-1,
0,
4988179
],
[
1746628938,
1746628957,
19,
"module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 Electricity 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1 batch_size 3841 gamma 0.001 alpha 0.0005 use_mmd2 False use_k2s_test False",
1,
3841,
0.001,
0.0005,
"False",
"False",
0.64,
4,
0,
"None",
"i7185",
4,
482.13671875,
481.9622395833333,
-1,
0.30857499076468414,
4988805
],
[
1746632867,
1746632880,
13,
"module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 Electricity 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 1382 gamma 10 alpha 0.05 use_mmd2 False use_k2s_test False",
5000,
1382,
10,
0.05,
"False",
"False",
0.71,
2,
0,
"None",
"i7185",
2,
483.2265625,
483.1380208333333,
-1,
0,
4989402
],
[
1746639197,
1746639444,
247,
"module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 Electricity 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1 batch_size 3912 gamma 10 alpha 0.05 use_mmd2 True use_k2s_test False",
1,
3912,
10,
0.05,
"True",
"False",
0.71,
232,
0,
"None",
"i7182",
232,
16197.171875,
10142.001201923076,
-1,
0,
4992928
],
[
1746642618,
1746642767,
149,
"module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 Electricity 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 59 gamma 0.001 alpha 0.05 use_mmd2 True use_k2s_test True",
5000,
59,
0.001,
0.05,
"True",
"True",
0.77,
133,
0,
"None",
"i7180",
133,
581.93359375,
523.254638671875,
-1,
0.9537079793128925,
4993425
],
[
1746644390,
1746644410,
20,
"module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 Electricity 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1 batch_size 4708 gamma 2.6212765916351675 alpha 0.05 use_mmd2 False use_k2s_test False",
1,
4708,
2.6212765916351675,
0.05,
"False",
"False",
0.71,
3,
0,
"None",
"i7179",
3,
483.13671875,
482.0872395833333,
-1,
0,
4993681
],
[
1746650170,
1746650189,
19,
"module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 Electricity 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 2440 gamma 0.001 alpha 0.05 use_mmd2 False use_k2s_test False",
5000,
2440,
0.001,
0.05,
"False",
"False",
0.71,
4,
0,
"None",
"i7181",
4,
481.61328125,
481.55859375,
-1,
0.3943479867011452,
4994522
],
[
1746658696,
1746658823,
127,
"module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 Electricity 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 87 gamma 5.349563919103238 alpha 0.05 use_mmd2 False use_k2s_test True",
5000,
87,
5.349563919103238,
0.05,
"False",
"True",
0.76,
115,
0,
"None",
"i7181",
115,
582.75,
521.7184709821429,
-1,
0.9521610639083856,
4995766
],
[
1746662421,
1746662448,
27,
"module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 Electricity 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 3311 batch_size 27 gamma 0.001 alpha 0.05 use_mmd2 True use_k2s_test False",
3311,
27,
0.001,
0.05,
"True",
"False",
0.74,
10,
0,
"None",
"i7174",
10,
487.35546875,
484.28125,
-1,
0.41704377539711857,
4996375
],
[
1746666745,
1746666765,
20,
"module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 Electricity 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1 batch_size 4677 gamma 3.8441985771218583 alpha 0.0005 use_mmd2 False use_k2s_test False",
1,
4677,
3.8441985771218583,
0.0005,
"False",
"False",
0.71,
3,
0,
"None",
"i7180",
3,
484.5546875,
483.4075520833333,
-1,
0,
4996978
],
[
1746668746,
1746668766,
20,
"module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 Electricity 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 3546 gamma 10 alpha 0.0005 use_mmd2 False use_k2s_test False",
5000,
3546,
10,
0.0005,
"False",
"False",
0.71,
2,
0,
"None",
"i7184",
2,
485.27734375,
483.0833333333333,
-1,
0,
4997249
],
[
1746676854,
1746676975,
121,
"module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 Electricity 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 65 gamma 4.780903028528869 alpha 0.05 use_mmd2 False use_k2s_test True",
5000,
65,
4.780903028528869,
0.05,
"False",
"True",
0.77,
106,
0,
"None",
"i7183",
106,
577.90234375,
522.4128605769231,
-1,
0.9533385666789804,
4998391
],
[
1746680159,
1746680178,
19,
"module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 Electricity 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 530 batch_size 3148 gamma 0.001 alpha 0.0005 use_mmd2 False use_k2s_test False",
530,
3148,
0.001,
0.0005,
"False",
"False",
0.72,
3,
0,
"None",
"i7183",
3,
483.046875,
482.9856770833333,
-1,
0.09921038049501293,
4998849
],
[
1746681972,
1746681991,
19,
"module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 Electricity 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 2854 batch_size 4448 gamma 4.563228908749589 alpha 0.05 use_mmd2 False use_k2s_test False",
2854,
4448,
4.563228908749589,
0.05,
"False",
"False",
0.71,
2,
0,
"None",
"i7176",
2,
483.171875,
482.1236979166667,
-1,
0,
4999137
],
[
1746683738,
1746684229,
491,
"module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 Electricity 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1 batch_size 2 gamma 3.1865450049628308 alpha 0.05 use_mmd2 False use_k2s_test True",
1,
2,
3.1865450049628308,
0.05,
"False",
"True",
0.8,
472,
0,
"None",
"i7178",
472,
576.09375,
499.093515625,
-1,
0.6187430735131142,
4999369
],
[
1746687863,
1746687883,
20,
"module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 Electricity 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 4791 batch_size 2430 gamma 3.504144494839977 alpha 0.0005 use_mmd2 False use_k2s_test False",
4791,
2430,
3.504144494839977,
0.0005,
"False",
"False",
0.71,
2,
0,
"None",
"i7179",
2,
486.0703125,
483.3684895833333,
-1,
0,
4999931
],
[
1746691883,
1746691897,
14,
"module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 Electricity 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 4940 batch_size 1513 gamma 3.71142040299168 alpha 0.0005 use_mmd2 False use_k2s_test False",
4940,
1513,
3.71142040299168,
0.0005,
"False",
"False",
0.71,
2,
0,
"None",
"i7184",
2,
487.16796875,
484.30078125,
-1,
0,
5000437
],
[
1746705388,
1746705401,
13,
"module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 Electricity 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 977 gamma 0.5161854383153611 alpha 0.0005 use_mmd2 False use_k2s_test False",
5000,
977,
0.5161854383153611,
0.0005,
"False",
"False",
0.64,
3,
0,
"None",
"i7183",
3,
481.94921875,
481.9036458333333,
-1,
0.13430458071666052,
5002478
],
[
1746724113,
1746724126,
13,
"module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 Electricity 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1 batch_size 2211 gamma 0.001 alpha 0.0005 use_mmd2 False use_k2s_test False",
1,
2211,
0.001,
0.0005,
"False",
"False",
0.7,
3,
0,
"None",
"i7185",
3,
482.54296875,
482.3671875,
-1,
0.15314462504617657,
5005348
],
[
1746726263,
1746726315,
52,
"module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 Electricity 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 762 gamma 0.001 alpha 0.0005 use_mmd2 True use_k2s_test False",
5000,
762,
0.001,
0.0005,
"True",
"False",
0.68,
38,
0,
"None",
"i7184",
38,
1027.34375,
644.7356770833334,
-1,
0.21111932028075361,
5005686
],
[
1746729024,
1746729044,
20,
"module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 Electricity 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 47 batch_size 4669 gamma 6.093914339905893 alpha 0.05 use_mmd2 False use_k2s_test False",
47,
4669,
6.093914339905893,
0.05,
"False",
"False",
0.71,
3,
0,
"None",
"i7186",
3,
485.83984375,
483.6119791666667,
-1,
0,
5006085
],
[
1746738383,
1746738396,
13,
"module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 Electricity 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 4632 gamma 4.585247171500902 alpha 0.05 use_mmd2 False use_k2s_test False",
5000,
4632,
4.585247171500902,
0.05,
"False",
"False",
0.71,
2,
0,
"None",
"i7181",
2,
482.5546875,
481.8528645833333,
-1,
0,
5007502
],
[
1746745560,
1746745579,
19,
"module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 Electricity 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1 batch_size 19 gamma 0.001 alpha 0.05 use_mmd2 True use_k2s_test False",
1,
19,
0.001,
0.05,
"True",
"False",
0.74,
9,
0,
"None",
"i7182",
9,
488.3125,
483.82421875,
-1,
0.3693664573328408,
5008511
],
[
1746748834,
1746748935,
101,
"module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 Electricity 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 44 gamma 0.001 alpha 0.05 use_mmd2 False use_k2s_test True",
5000,
44,
0.001,
0.05,
"False",
"True",
0.77,
90,
0,
"None",
"i7183",
90,
578.98828125,
526.9353693181819,
-1,
0.9534770964166974,
5008937
],
[
1746752799,
1746752812,
13,
"module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 Electricity 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1 batch_size 760 gamma 10 alpha 0.05 use_mmd2 False use_k2s_test False",
1,
760,
10,
0.05,
"False",
"False",
0.71,
2,
0,
"None",
"i7184",
2,
482.1328125,
480.9361979166667,
-1,
0,
5009520
],
[
1746763953,
1746763966,
13,
"module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 Electricity 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 4679 gamma 1.2931412661272084 alpha 0.0005 use_mmd2 False use_k2s_test False",
5000,
4679,
1.2931412661272084,
0.0005,
"False",
"False",
0.57,
2,
0,
"None",
"i7182",
2,
482.08984375,
482.0494791666667,
-1,
0.10803010712966384,
5011099
],
[
1746766333,
1746766346,
13,
"module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 Electricity 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 1 batch_size 4824 gamma 6.809361774916551 alpha 0.05 use_mmd2 False use_k2s_test False",
1,
4824,
6.809361774916551,
0.05,
"False",
"False",
0.71,
2,
0,
"None",
"i7183",
2,
483.2109375,
482.7278645833333,
-1,
0,
5011420
],
[
1746772974,
1746773126,
152,
"module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 Electricity 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 86 gamma 10 alpha 0.05 use_mmd2 True use_k2s_test True",
5000,
86,
10,
0.05,
"True",
"True",
0.75,
138,
0,
"None",
"i7184",
138,
583.80078125,
527.78857421875,
-1,
0.9525997414111562,
5012357
],
[
1746775239,
1746775352,
113,
"module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 Electricity 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 81 gamma 9.91522480772342 alpha 0.05 use_mmd2 False use_k2s_test True",
5000,
81,
9.91522480772342,
0.05,
"False",
"True",
0.75,
103,
0,
"None",
"i7180",
103,
585.578125,
518.5483774038462,
-1,
0.9525073882526782,
5012680
],
[
1746780488,
1746780514,
26,
"module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 Electricity 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 2650 batch_size 3278 gamma 0.001 alpha 0.05 use_mmd2 False use_k2s_test False",
2650,
3278,
0.001,
0.05,
"False",
"False",
0.71,
4,
0,
"None",
"i7185",
4,
481.77734375,
481.6888020833333,
-1,
0.3322635759142963,
5013379
],
[
1746787425,
1746787558,
133,
"module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 Electricity 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 75 gamma 0.001 alpha 0.05 use_mmd2 False use_k2s_test True",
5000,
75,
0.001,
0.05,
"False",
"True",
0.76,
122,
0,
"None",
"i7183",
122,
589.03515625,
524.98515625,
-1,
0.9529922423346878,
5014378
],
[
1746794663,
1746794727,
64,
"module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 Electricity 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 3995 gamma 0.001 alpha 0.05 use_mmd2 True use_k2s_test False",
5000,
3995,
0.001,
0.05,
"True",
"False",
0.65,
48,
0,
"None",
"i7186",
48,
3358.9609375,
1495.4308035714287,
-1,
0.2305596601403768,
5015552
],
[
1746796567,
1746796713,
146,
"module load GCCcore\/10.3.0 Python && source \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/venv\/bin\/activate && python \/data\/horse\/ws\/s4122485-compPerfDD\/benchmark\/dfki\/benchmarkdd\/main.py 1 1 0 Electricity 2000 HoeffdingTreeClassifier HDDDM recent_samples_size 5000 batch_size 35 gamma 3.8954087650677343 alpha 0.05 use_mmd2 False use_k2s_test True",
5000,
35,
3.8954087650677343,
0.05,
"False",
"True",
0.77,
127,
0,
"None",
"i7184",
127,
578.99609375,
530.4783854166667,
-1,
0.9534540081270779,
5015938
]
];
var tab_worker_usage_csv_json = [
[
1746192497.1390488,
20,
0,
0
],
[
1746192508.1151228,
20,
0,
0
],
[
1746193549.63153,
20,
0,
0
],
[
1746193550.354428,
20,
0,
0
],
[
1746193553.0682056,
20,
1,
5
],
[
1746193562.4585402,
20,
1,
5
],
[
1746194344.2268054,
20,
1,
5
],
[
1746194345.0275087,
20,
1,
5
],
[
1746194347.0963242,
20,
2,
10
],
[
1746194359.110299,
20,
2,
10
],
[
1746195320.522616,
20,
2,
10
],
[
1746195321.3620057,
20,
2,
10
],
[
1746195323.6161456,
20,
3,
15
],
[
1746195339.8996115,
20,
3,
15
],
[
1746196229.998464,
20,
3,
15
],
[
1746196230.768049,
20,
3,
15
],
[
1746196232.7036195,
20,
4,
20
],
[
1746196252.6305096,
20,
4,
20
],
[
1746197029.6867552,
20,
4,
20
],
[
1746197030.3198476,
20,
4,
20
],
[
1746197032.4620328,
20,
5,
25
],
[
1746197055.2476296,
20,
5,
25
],
[
1746198060.2072937,
20,
5,
25
],
[
1746198060.852312,
20,
5,
25
],
[
1746198062.6546485,
20,
6,
30
],
[
1746198089.9679706,
20,
6,
30
],
[
1746199168.076319,
20,
6,
30
],
[
1746199168.7942212,
20,
6,
30
],
[
1746199170.6864681,
20,
7,
35
],
[
1746199203.3468235,
20,
7,
35
],
[
1746199872.780358,
20,
7,
35
],
[
1746199873.5486987,
20,
7,
35
],
[
1746199875.5460389,
20,
8,
40
],
[
1746199901.27086,
20,
8,
40
],
[
1746199914.72336,
20,
7,
35
],
[
1746199914.8862956,
20,
7,
35
],
[
1746200765.887179,
20,
7,
35
],
[
1746200766.5679102,
20,
7,
35
],
[
1746200768.652235,
20,
8,
40
],
[
1746200804.9713783,
20,
7,
35
],
[
1746201621.9068716,
20,
7,
35
],
[
1746201622.637881,
20,
7,
35
],
[
1746201624.6686075,
20,
8,
40
],
[
1746201640.6397543,
20,
8,
40
],
[
1746201668.6271534,
20,
7,
35
],
[
1746201682.26695,
20,
6,
30
],
[
1746201682.4387128,
20,
6,
30
],
[
1746202414.820317,
20,
6,
30
],
[
1746202415.5231512,
20,
6,
30
],
[
1746202417.5721107,
20,
7,
35
],
[
1746202449.9304082,
20,
7,
35
],
[
1746203143.5294178,
20,
7,
35
],
[
1746203144.3737235,
20,
7,
35
],
[
1746203146.554151,
20,
8,
40
],
[
1746203162.3349671,
20,
8,
40
],
[
1746203200.590049,
20,
7,
35
],
[
1746203200.7444339,
20,
7,
35
],
[
1746203973.0096316,
20,
7,
35
],
[
1746203973.554808,
20,
7,
35
],
[
1746203975.5945172,
20,
8,
40
],
[
1746203991.3568795,
20,
8,
40
],
[
1746204020.7508688,
20,
7,
35
],
[
1746204029.8318107,
20,
6,
30
],
[
1746204029.9663951,
20,
6,
30
],
[
1746205034.7518475,
20,
6,
30
],
[
1746205035.4427378,
20,
6,
30
],
[
1746205037.5121136,
20,
7,
35
],
[
1746205053.4433165,
20,
7,
35
],
[
1746205088.8990617,
20,
6,
30
],
[
1746205089.0278594,
20,
6,
30
],
[
1746206101.5621293,
20,
6,
30
],
[
1746206102.3799102,
20,
6,
30
],
[
1746206105.5194452,
20,
7,
35
],
[
1746206121.381112,
20,
7,
35
],
[
1746206149.712722,
20,
6,
30
],
[
1746206158.7526267,
20,
5,
25
],
[
1746206158.887892,
20,
5,
25
],
[
1746207303.3881738,
20,
5,
25
],
[
1746207304.3919263,
20,
5,
25
],
[
1746207306.5030627,
20,
6,
30
],
[
1746207322.2939174,
20,
6,
30
],
[
1746207351.781846,
20,
5,
25
],
[
1746207351.9378788,
20,
5,
25
],
[
1746208198.6128252,
20,
5,
25
],
[
1746208199.375554,
20,
5,
25
],
[
1746208201.9883249,
20,
6,
30
],
[
1746208229.2972422,
20,
6,
30
],
[
1746209130.5651634,
20,
6,
30
],
[
1746209131.3951738,
20,
6,
30
],
[
1746209133.579336,
20,
7,
35
],
[
1746209149.4814732,
20,
7,
35
],
[
1746209184.070721,
20,
6,
30
],
[
1746209184.2118928,
20,
6,
30
],
[
1746210049.3265986,
20,
6,
30
],
[
1746210050.2808948,
20,
6,
30
],
[
1746210052.480716,
20,
7,
35
],
[
1746210068.3437889,
20,
7,
35
],
[
1746210092.3680248,
20,
6,
30
],
[
1746210105.724735,
20,
5,
25
],
[
1746210105.860187,
20,
5,
25
],
[
1746210879.45887,
20,
5,
25
],
[
1746210881.3525617,
20,
5,
25
],
[
1746210883.529511,
20,
6,
30
],
[
1746210899.3920002,
20,
6,
30
],
[
1746210923.6165252,
20,
5,
25
],
[
1746210933.0901396,
20,
4,
20
],
[
1746210933.4069796,
20,
4,
20
],
[
1746210956.5971556,
20,
4,
20
],
[
1746210980.7860081,
20,
4,
20
],
[
1746211006.1457577,
20,
4,
20
],
[
1746211032.0665963,
20,
4,
20
],
[
1746211056.4120817,
20,
4,
20
],
[
1746211082.578948,
20,
4,
20
],
[
1746211106.7872126,
20,
4,
20
],
[
1746211130.8650784,
20,
4,
20
],
[
1746211155.2903132,
20,
4,
20
],
[
1746211179.6401222,
20,
4,
20
],
[
1746211204.6519685,
20,
4,
20
],
[
1746211230.55454,
20,
4,
20
],
[
1746211255.4161482,
20,
4,
20
],
[
1746211281.6676097,
20,
4,
20
],
[
1746211306.4642525,
20,
4,
20
],
[
1746211330.162415,
20,
4,
20
],
[
1746211354.457018,
20,
4,
20
],
[
1746211380.475783,
20,
4,
20
],
[
1746211405.717963,
20,
4,
20
],
[
1746211431.6389217,
20,
4,
20
],
[
1746211456.8316677,
20,
4,
20
],
[
1746211481.93099,
20,
4,
20
],
[
1746211507.250647,
20,
4,
20
],
[
1746211533.175142,
20,
4,
20
],
[
1746211558.450031,
20,
4,
20
],
[
1746211583.2672791,
20,
4,
20
],
[
1746211606.6575184,
20,
4,
20
],
[
1746211632.1978757,
20,
4,
20
],
[
1746211656.674845,
20,
4,
20
],
[
1746211682.0623639,
20,
4,
20
],
[
1746211706.1182556,
20,
4,
20
],
[
1746211730.8208876,
20,
4,
20
],
[
1746211755.6285791,
20,
4,
20
],
[
1746211778.761261,
20,
4,
20
],
[
1746211802.2347,
20,
4,
20
],
[
1746211825.8180287,
20,
4,
20
],
[
1746211851.1083393,
20,
4,
20
],
[
1746211878.0770435,
20,
4,
20
],
[
1746211902.3196192,
20,
4,
20
],
[
1746211928.3739607,
20,
4,
20
],
[
1746211953.9573946,
20,
4,
20
],
[
1746211977.7057552,
20,
4,
20
],
[
1746212003.880949,
20,
4,
20
],
[
1746212028.4840147,
20,
4,
20
],
[
1746212054.465619,
20,
4,
20
],
[
1746212078.9789422,
20,
4,
20
],
[
1746212105.5619075,
20,
4,
20
],
[
1746212129.5233963,
20,
4,
20
],
[
1746212155.5136015,
20,
4,
20
],
[
1746212180.9327796,
20,
4,
20
],
[
1746212207.3175316,
20,
4,
20
],
[
1746212232.0425336,
20,
4,
20
],
[
1746212256.848915,
20,
4,
20
],
[
1746212281.976488,
20,
4,
20
],
[
1746212306.7233727,
20,
4,
20
],
[
1746212333.4400468,
20,
4,
20
],
[
1746212357.2033224,
20,
4,
20
],
[
1746212381.747171,
20,
4,
20
],
[
1746212407.7403781,
20,
4,
20
],
[
1746212432.8929513,
20,
4,
20
],
[
1746212456.3911397,
20,
4,
20
],
[
1746212480.92456,
20,
4,
20
],
[
1746212504.1831632,
20,
4,
20
],
[
1746212526.9531677,
20,
4,
20
],
[
1746212550.5675018,
20,
4,
20
],
[
1746212575.636006,
20,
4,
20
],
[
1746212601.3725476,
20,
4,
20
],
[
1746212627.5523345,
20,
4,
20
],
[
1746212653.2571223,
20,
4,
20
],
[
1746212678.5875742,
20,
4,
20
],
[
1746212702.3608851,
20,
3,
15
],
[
1746212724.1866534,
20,
3,
15
],
[
1746212744.8921924,
20,
3,
15
],
[
1746212766.1158335,
20,
3,
15
],
[
1746212788.154961,
20,
3,
15
],
[
1746212811.2297976,
20,
3,
15
],
[
1746212832.9703565,
20,
3,
15
],
[
1746212854.3374615,
20,
3,
15
],
[
1746212873.6528451,
20,
3,
15
],
[
1746212895.7123353,
20,
3,
15
],
[
1746212917.247972,
20,
3,
15
],
[
1746212937.6261783,
20,
3,
15
],
[
1746212957.260804,
20,
3,
15
],
[
1746212977.151455,
20,
3,
15
],
[
1746212996.560935,
20,
3,
15
],
[
1746213016.6730905,
20,
3,
15
],
[
1746213037.1786826,
20,
3,
15
],
[
1746213057.2751634,
20,
3,
15
],
[
1746213078.8136654,
20,
3,
15
],
[
1746213100.344325,
20,
3,
15
],
[
1746213121.3019042,
20,
3,
15
],
[
1746213142.762392,
20,
3,
15
],
[
1746213163.414369,
20,
3,
15
],
[
1746213185.5705147,
20,
3,
15
],
[
1746213206.5941448,
20,
3,
15
],
[
1746213227.7134604,
20,
3,
15
],
[
1746213249.9748716,
20,
3,
15
],
[
1746213272.6795864,
20,
3,
15
],
[
1746213293.363055,
20,
3,
15
],
[
1746213314.453481,
20,
3,
15
],
[
1746213336.727108,
20,
3,
15
],
[
1746213358.0103402,
20,
3,
15
],
[
1746213378.9944918,
20,
3,
15
],
[
1746213401.0698307,
20,
3,
15
],
[
1746213421.952161,
20,
3,
15
],
[
1746213443.4709225,
20,
3,
15
],
[
1746213464.238967,
20,
3,
15
],
[
1746213484.6387308,
20,
3,
15
],
[
1746213507.2572572,
20,
3,
15
],
[
1746213528.7638755,
20,
3,
15
],
[
1746213550.6784537,
20,
3,
15
],
[
1746213572.197463,
20,
3,
15
],
[
1746213593.746355,
20,
3,
15
],
[
1746213615.0047054,
20,
3,
15
],
[
1746213635.9048715,
20,
3,
15
],
[
1746213655.7112658,
20,
3,
15
],
[
1746213676.3017468,
20,
3,
15
],
[
1746213697.6279523,
20,
3,
15
],
[
1746213718.1058247,
20,
3,
15
],
[
1746213740.4282813,
20,
3,
15
],
[
1746213761.570168,
20,
3,
15
],
[
1746213783.728522,
20,
3,
15
],
[
1746213805.4943392,
20,
3,
15
],
[
1746213826.5795672,
20,
3,
15
],
[
1746213848.4645905,
20,
3,
15
],
[
1746213870.1987033,
20,
3,
15
],
[
1746213890.5998082,
20,
3,
15
],
[
1746213912.5982893,
20,
3,
15
],
[
1746213934.114106,
20,
3,
15
],
[
1746213956.0964322,
20,
3,
15
],
[
1746213976.5904496,
20,
3,
15
],
[
1746213998.9745822,
20,
3,
15
],
[
1746214019.7160287,
20,
3,
15
],
[
1746214041.487389,
20,
3,
15
],
[
1746214061.0496252,
20,
3,
15
],
[
1746214083.1859975,
20,
3,
15
],
[
1746214104.216021,
20,
3,
15
],
[
1746214126.5544422,
20,
3,
15
],
[
1746214147.578404,
20,
3,
15
],
[
1746214168.9088793,
20,
3,
15
],
[
1746214192.383827,
20,
3,
15
],
[
1746214213.4272902,
20,
3,
15
],
[
1746214234.1422873,
20,
3,
15
],
[
1746214254.9038622,
20,
3,
15
],
[
1746214275.586043,
20,
3,
15
],
[
1746214296.2745707,
20,
3,
15
],
[
1746214317.239754,
20,
3,
15
],
[
1746214339.7973118,
20,
3,
15
],
[
1746214360.3197863,
20,
3,
15
],
[
1746214380.4460895,
20,
3,
15
],
[
1746214399.1645443,
20,
3,
15
],
[
1746214417.2616265,
20,
3,
15
],
[
1746214436.3432906,
20,
3,
15
],
[
1746214457.477208,
20,
3,
15
],
[
1746214478.8830633,
20,
3,
15
],
[
1746214501.0539424,
20,
3,
15
],
[
1746214522.532268,
20,
3,
15
],
[
1746214544.090349,
20,
3,
15
],
[
1746214565.2585976,
20,
3,
15
],
[
1746214586.408542,
20,
3,
15
],
[
1746214608.486666,
20,
3,
15
],
[
1746214629.8244016,
20,
3,
15
],
[
1746214652.0835679,
20,
3,
15
],
[
1746214676.5441592,
20,
3,
15
],
[
1746214697.0389953,
20,
3,
15
],
[
1746214717.2968404,
20,
3,
15
],
[
1746214739.030229,
20,
3,
15
],
[
1746214760.9166193,
20,
3,
15
],
[
1746214784.530514,
20,
3,
15
],
[
1746214804.4712567,
20,
3,
15
],
[
1746214826.3752182,
20,
3,
15
],
[
1746214848.0494523,
20,
3,
15
],
[
1746214869.6930742,
20,
3,
15
],
[
1746214891.200274,
20,
3,
15
],
[
1746214912.711204,
20,
3,
15
],
[
1746214934.4406989,
20,
3,
15
],
[
1746214955.7678013,
20,
3,
15
],
[
1746214977.468155,
20,
3,
15
],
[
1746214999.7995179,
20,
3,
15
],
[
1746215021.8920035,
20,
3,
15
],
[
1746215041.9376807,
20,
3,
15
],
[
1746215062.6901176,
20,
3,
15
],
[
1746215084.8640406,
20,
3,
15
],
[
1746215107.717574,
20,
2,
10
],
[
1746215124.649896,
20,
2,
10
],
[
1746215143.5864406,
20,
2,
10
],
[
1746215160.8675067,
20,
2,
10
],
[
1746215177.939522,
20,
2,
10
],
[
1746215197.0588024,
20,
2,
10
],
[
1746215214.1230347,
20,
2,
10
],
[
1746215230.9835215,
20,
2,
10
],
[
1746215249.5655954,
20,
2,
10
],
[
1746215266.8541424,
20,
2,
10
],
[
1746215283.918029,
20,
2,
10
],
[
1746215301.1405034,
20,
2,
10
],
[
1746215318.8794105,
20,
2,
10
],
[
1746215336.1869357,
20,
2,
10
],
[
1746215353.8542228,
20,
2,
10
],
[
1746215370.102967,
20,
2,
10
],
[
1746215386.657917,
20,
2,
10
],
[
1746215404.1550226,
20,
2,
10
],
[
1746215420.9464238,
20,
2,
10
],
[
1746215437.9397242,
20,
2,
10
],
[
1746215454.9551008,
20,
2,
10
],
[
1746215472.4301074,
20,
2,
10
],
[
1746215490.2903478,
20,
2,
10
],
[
1746215508.744408,
20,
2,
10
],
[
1746215526.2104092,
20,
2,
10
],
[
1746215543.2978008,
20,
2,
10
],
[
1746215559.4685276,
20,
2,
10
],
[
1746215576.9245706,
20,
2,
10
],
[
1746215594.1875613,
20,
2,
10
],
[
1746215611.2231548,
20,
2,
10
],
[
1746215627.6331947,
20,
2,
10
],
[
1746215644.5567093,
20,
2,
10
],
[
1746215662.4394994,
20,
2,
10
],
[
1746215680.2021441,
20,
2,
10
],
[
1746215698.430085,
20,
2,
10
],
[
1746215716.3807476,
20,
1,
5
],
[
1746215729.966397,
20,
1,
5
],
[
1746215743.509008,
20,
1,
5
],
[
1746215757.5264788,
20,
1,
5
],
[
1746215770.4389637,
20,
1,
5
],
[
1746215784.1795776,
20,
1,
5
],
[
1746215797.9279518,
20,
1,
5
],
[
1746215811.614466,
20,
1,
5
],
[
1746215825.197315,
20,
1,
5
],
[
1746215839.2645166,
20,
1,
5
],
[
1746215852.1260934,
20,
1,
5
],
[
1746215866.0515153,
20,
1,
5
],
[
1746215879.8561623,
20,
1,
5
],
[
1746215893.67542,
20,
1,
5
],
[
1746215907.6169024,
20,
1,
5
],
[
1746215920.5989351,
20,
1,
5
],
[
1746215934.943082,
20,
1,
5
],
[
1746215948.9678128,
20,
1,
5
],
[
1746215961.8371046,
20,
1,
5
],
[
1746215974.5535805,
20,
1,
5
],
[
1746215987.9013348,
20,
1,
5
],
[
1746216002.236518,
20,
1,
5
],
[
1746216015.2503288,
20,
1,
5
],
[
1746216029.3543425,
20,
1,
5
],
[
1746216043.316433,
20,
1,
5
],
[
1746216056.201981,
20,
1,
5
],
[
1746216070.029214,
20,
1,
5
],
[
1746216084.3702416,
20,
1,
5
],
[
1746216098.293894,
20,
1,
5
],
[
1746216112.405431,
20,
1,
5
],
[
1746216125.3359027,
20,
1,
5
],
[
1746216139.0399683,
20,
1,
5
],
[
1746216152.6159813,
20,
1,
5
],
[
1746216165.159983,
20,
1,
5
],
[
1746216179.313862,
20,
1,
5
],
[
1746216192.360366,
20,
1,
5
],
[
1746216205.1921327,
20,
1,
5
],
[
1746216218.475277,
20,
1,
5
],
[
1746216231.3381066,
20,
1,
5
],
[
1746216245.5606947,
20,
1,
5
],
[
1746216258.6851666,
20,
1,
5
],
[
1746216272.9181852,
20,
1,
5
],
[
1746216286.087244,
20,
1,
5
],
[
1746216300.3630142,
20,
1,
5
],
[
1746216314.5867357,
20,
1,
5
],
[
1746216327.680213,
20,
1,
5
],
[
1746216341.9693286,
20,
1,
5
],
[
1746216355.0130806,
20,
1,
5
],
[
1746216368.3416643,
20,
1,
5
],
[
1746216382.5660083,
20,
1,
5
],
[
1746216396.605504,
20,
1,
5
],
[
1746216409.654234,
20,
1,
5
],
[
1746216422.6708355,
20,
1,
5
],
[
1746216436.840705,
20,
1,
5
],
[
1746216449.810405,
20,
1,
5
],
[
1746216464.093285,
20,
1,
5
],
[
1746216477.1756732,
20,
1,
5
],
[
1746216490.9960396,
20,
1,
5
],
[
1746216503.8834176,
20,
1,
5
],
[
1746216518.1372736,
20,
1,
5
],
[
1746216531.7067099,
20,
1,
5
],
[
1746216546.1673288,
20,
1,
5
],
[
1746216561.1361272,
20,
1,
5
],
[
1746216573.66581,
20,
1,
5
],
[
1746216587.6608026,
20,
1,
5
],
[
1746216600.8432403,
20,
1,
5
],
[
1746216613.9953196,
20,
1,
5
],
[
1746216628.6644404,
20,
1,
5
],
[
1746216641.8472176,
20,
1,
5
],
[
1746216656.0313766,
20,
1,
5
],
[
1746216669.1200469,
20,
1,
5
],
[
1746216682.2529204,
20,
1,
5
],
[
1746216696.7241197,
20,
1,
5
],
[
1746216709.9282973,
20,
1,
5
],
[
1746216724.4430027,
20,
1,
5
],
[
1746216737.8628862,
20,
1,
5
],
[
1746216750.9191568,
20,
1,
5
],
[
1746216765.309068,
20,
1,
5
],
[
1746216778.4053197,
20,
1,
5
],
[
1746216790.4320605,
20,
1,
5
],
[
1746216802.2095158,
20,
1,
5
],
[
1746216814.3300667,
20,
1,
5
],
[
1746216825.8980584,
20,
1,
5
],
[
1746216837.3797128,
20,
1,
5
],
[
1746216850.7430336,
20,
1,
5
],
[
1746216863.0345166,
20,
1,
5
],
[
1746216875.2030084,
20,
1,
5
],
[
1746216888.1805925,
20,
1,
5
],
[
1746216901.073534,
20,
1,
5
],
[
1746216914.174952,
20,
1,
5
],
[
1746216927.2792914,
20,
1,
5
],
[
1746216941.43506,
20,
1,
5
],
[
1746216954.720706,
20,
1,
5
],
[
1746216968.2510777,
20,
1,
5
],
[
1746216981.3303204,
20,
1,
5
],
[
1746216995.8968656,
20,
1,
5
],
[
1746217009.2682426,
20,
1,
5
],
[
1746217021.827605,
20,
1,
5
],
[
1746217034.6610935,
20,
1,
5
],
[
1746217049.6713345,
20,
1,
5
],
[
1746217062.9035826,
20,
1,
5
],
[
1746217076.2567854,
20,
1,
5
],
[
1746217089.7234185,
20,
1,
5
],
[
1746217104.442434,
20,
1,
5
],
[
1746217118.1710002,
20,
1,
5
],
[
1746217131.6214383,
20,
1,
5
],
[
1746217145.544548,
20,
1,
5
],
[
1746217159.073736,
20,
1,
5
],
[
1746217172.4295228,
20,
1,
5
],
[
1746217187.1321273,
20,
1,
5
],
[
1746217200.5601823,
20,
1,
5
],
[
1746217213.857449,
20,
1,
5
],
[
1746217227.330013,
20,
1,
5
],
[
1746217240.8712022,
20,
1,
5
],
[
1746217255.9274035,
20,
1,
5
],
[
1746217269.2228587,
20,
1,
5
],
[
1746217282.5201316,
20,
1,
5
],
[
1746217295.9836445,
20,
1,
5
],
[
1746217309.42135,
20,
1,
5
],
[
1746217322.878309,
20,
1,
5
],
[
1746217336.8859024,
20,
1,
5
],
[
1746217349.735407,
20,
1,
5
],
[
1746217363.0782206,
20,
1,
5
],
[
1746217376.4789762,
20,
1,
5
],
[
1746217390.0392902,
20,
1,
5
],
[
1746217403.6482916,
20,
1,
5
],
[
1746217417.1429996,
20,
1,
5
],
[
1746217430.610535,
20,
1,
5
],
[
1746217444.543824,
20,
1,
5
],
[
1746217459.550692,
20,
1,
5
],
[
1746217472.7536275,
20,
1,
5
],
[
1746217486.0528567,
20,
1,
5
],
[
1746217499.3023462,
20,
1,
5
],
[
1746217513.0676231,
20,
1,
5
],
[
1746217542.38771,
20,
0,
0
],
[
1746218546.6971414,
20,
0,
0
],
[
1746218547.326801,
20,
0,
0
],
[
1746218550.042383,
20,
1,
5
],
[
1746218558.9342983,
20,
1,
5
],
[
1746219435.739914,
20,
1,
5
],
[
1746219436.3340924,
20,
1,
5
],
[
1746219438.363337,
20,
2,
10
],
[
1746219449.8436697,
20,
2,
10
],
[
1746220392.2135296,
20,
2,
10
],
[
1746220392.980629,
20,
2,
10
],
[
1746220394.9564881,
20,
3,
15
],
[
1746220401.8589766,
20,
3,
15
],
[
1746220414.7216706,
20,
2,
10
],
[
1746220414.941457,
20,
2,
10
],
[
1746221331.6628551,
20,
2,
10
],
[
1746221332.3757362,
20,
2,
10
],
[
1746221334.5285993,
20,
3,
15
],
[
1746221339.3812077,
20,
3,
15
],
[
1746221352.6682355,
20,
2,
10
],
[
1746221352.7830188,
20,
2,
10
],
[
1746222077.1624453,
20,
2,
10
],
[
1746222077.7814944,
20,
2,
10
],
[
1746222079.6408446,
20,
3,
15
],
[
1746222095.3575845,
20,
3,
15
],
[
1746222742.092332,
20,
3,
15
],
[
1746222742.5527608,
20,
3,
15
],
[
1746222744.3293386,
20,
4,
20
],
[
1746222763.929217,
20,
4,
20
],
[
1746223484.2018318,
20,
4,
20
],
[
1746223484.728388,
20,
4,
20
],
[
1746223486.4521642,
20,
5,
25
],
[
1746223509.0949159,
20,
5,
25
],
[
1746224363.9878433,
20,
5,
25
],
[
1746224364.6538074,
20,
5,
25
],
[
1746224366.6058064,
20,
6,
30
],
[
1746224395.3264635,
20,
6,
30
],
[
1746225233.689599,
20,
6,
30
],
[
1746225234.1161134,
20,
6,
30
],
[
1746225235.874105,
20,
7,
35
],
[
1746225253.3180377,
20,
7,
35
],
[
1746225264.85204,
20,
6,
30
],
[
1746225264.968132,
20,
6,
30
],
[
1746226427.4879887,
20,
6,
30
],
[
1746226428.3365326,
20,
6,
30
],
[
1746226430.4770038,
20,
7,
35
],
[
1746226446.272656,
20,
7,
35
],
[
1746226469.6301448,
20,
6,
30
],
[
1746226483.390334,
20,
5,
25
],
[
1746226483.5339906,
20,
5,
25
],
[
1746227457.562784,
20,
5,
25
],
[
1746227458.3107262,
20,
5,
25
],
[
1746227460.4853082,
20,
6,
30
],
[
1746227476.9877913,
20,
6,
30
],
[
1746227487.3407521,
20,
5,
25
],
[
1746227487.796647,
20,
5,
25
],
[
1746228547.056752,
20,
5,
25
],
[
1746228547.6924238,
20,
5,
25
],
[
1746228549.433686,
20,
6,
30
],
[
1746228567.1335328,
20,
6,
30
],
[
1746228581.194658,
20,
5,
25
],
[
1746228581.571232,
20,
4,
20
],
[
1746229429.347761,
20,
4,
20
],
[
1746229430.1946049,
20,
4,
20
],
[
1746229432.1679063,
20,
5,
25
],
[
1746229448.1876178,
20,
5,
25
],
[
1746229463.1679025,
20,
4,
20
],
[
1746229471.3521724,
20,
3,
15
],
[
1746229481.1339316,
20,
2,
10
],
[
1746229481.2870395,
20,
2,
10
],
[
1746230694.6274927,
20,
2,
10
],
[
1746230695.3761182,
20,
2,
10
],
[
1746230697.604758,
20,
3,
15
],
[
1746230713.48875,
20,
3,
15
],
[
1746230735.2695906,
20,
2,
10
],
[
1746230751.622276,
20,
1,
5
],
[
1746230751.7675338,
20,
1,
5
],
[
1746231620.6343668,
20,
1,
5
],
[
1746231621.478677,
20,
1,
5
],
[
1746231623.6000018,
20,
2,
10
],
[
1746231635.90501,
20,
2,
10
],
[
1746232551.7113364,
20,
2,
10
],
[
1746232552.328511,
20,
2,
10
],
[
1746232554.5308897,
20,
3,
15
],
[
1746232570.8570144,
20,
3,
15
],
[
1746233622.3264365,
20,
3,
15
],
[
1746233623.2551737,
20,
3,
15
],
[
1746233625.413376,
20,
4,
20
],
[
1746233635.0926042,
20,
4,
20
],
[
1746233647.9019074,
20,
3,
15
],
[
1746233648.134986,
20,
3,
15
],
[
1746234646.3533168,
20,
3,
15
],
[
1746234647.3420722,
20,
3,
15
],
[
1746234649.568334,
20,
4,
20
],
[
1746234670.215296,
20,
4,
20
],
[
1746235695.7199633,
20,
4,
20
],
[
1746235696.3953278,
20,
4,
20
],
[
1746235698.5452566,
20,
5,
25
],
[
1746235725.3300307,
20,
5,
25
],
[
1746236574.938896,
20,
5,
25
],
[
1746236575.485262,
20,
5,
25
],
[
1746236577.326023,
20,
6,
30
],
[
1746236592.8215125,
20,
6,
30
],
[
1746236607.3149457,
20,
5,
25
],
[
1746236607.958596,
20,
5,
25
],
[
1746236634.1741686,
20,
5,
25
],
[
1746236662.456347,
20,
5,
25
],
[
1746236692.8028464,
20,
5,
25
],
[
1746236723.2283247,
20,
5,
25
],
[
1746236753.6092517,
20,
5,
25
],
[
1746236782.2903717,
20,
5,
25
],
[
1746236808.613671,
20,
5,
25
],
[
1746236835.2003903,
20,
5,
25
],
[
1746236864.3355522,
20,
5,
25
],
[
1746236894.902798,
20,
5,
25
],
[
1746236925.0489652,
20,
5,
25
],
[
1746236956.327665,
20,
5,
25
],
[
1746236986.8960414,
20,
5,
25
],
[
1746237014.2498207,
20,
5,
25
],
[
1746237036.1715906,
20,
5,
25
],
[
1746237046.200152,
20,
4,
20
],
[
1746237046.536583,
20,
4,
20
],
[
1746237073.0671527,
20,
4,
20
],
[
1746237098.1045837,
20,
4,
20
],
[
1746237123.5135658,
20,
4,
20
],
[
1746237150.8409686,
20,
4,
20
],
[
1746237176.6410513,
20,
4,
20
],
[
1746237203.411784,
20,
4,
20
],
[
1746237229.028827,
20,
4,
20
],
[
1746237256.139211,
20,
4,
20
],
[
1746237282.5122764,
20,
4,
20
],
[
1746237309.6842697,
20,
4,
20
],
[
1746237336.9516096,
20,
4,
20
],
[
1746237362.7649505,
20,
4,
20
],
[
1746237389.9882567,
20,
4,
20
],
[
1746237416.0952668,
20,
4,
20
],
[
1746237442.9942782,
20,
4,
20
],
[
1746237469.5047235,
20,
4,
20
],
[
1746237496.3391936,
20,
4,
20
],
[
1746237522.6569963,
20,
4,
20
],
[
1746237548.6075013,
20,
4,
20
],
[
1746237574.6196237,
20,
4,
20
],
[
1746237600.8168187,
20,
4,
20
],
[
1746237626.8715274,
20,
4,
20
],
[
1746237652.7864916,
20,
4,
20
],
[
1746237679.5363429,
20,
4,
20
],
[
1746237703.9249113,
20,
4,
20
],
[
1746237727.7555838,
20,
4,
20
],
[
1746237754.5391984,
20,
4,
20
],
[
1746237780.9488888,
20,
4,
20
],
[
1746237805.062371,
20,
4,
20
],
[
1746237829.909541,
20,
4,
20
],
[
1746237855.4359262,
20,
4,
20
],
[
1746237881.5493646,
20,
4,
20
],
[
1746237906.2830453,
20,
4,
20
],
[
1746237931.9504366,
20,
4,
20
],
[
1746237956.7411652,
20,
4,
20
],
[
1746237980.4997745,
20,
4,
20
],
[
1746238005.6655314,
20,
4,
20
],
[
1746238033.1235938,
20,
4,
20
],
[
1746238058.948664,
20,
4,
20
],
[
1746238085.0509634,
20,
4,
20
],
[
1746238111.6118498,
20,
4,
20
],
[
1746238136.2186532,
20,
4,
20
],
[
1746238160.9339192,
20,
4,
20
],
[
1746238189.3588402,
20,
4,
20
],
[
1746238217.0596297,
20,
4,
20
],
[
1746238243.1701763,
20,
4,
20
],
[
1746238269.8617826,
20,
4,
20
],
[
1746238294.8919754,
20,
4,
20
],
[
1746238322.2387822,
20,
3,
15
],
[
1746238345.7828004,
20,
3,
15
],
[
1746238367.4773157,
20,
3,
15
],
[
1746238388.9938939,
20,
3,
15
],
[
1746238412.1397095,
20,
3,
15
],
[
1746238433.393893,
20,
3,
15
],
[
1746238454.5652573,
20,
3,
15
],
[
1746238476.040725,
20,
3,
15
],
[
1746238497.8566542,
20,
3,
15
],
[
1746238519.0001633,
20,
3,
15
],
[
1746238540.1456823,
20,
3,
15
],
[
1746238562.66832,
20,
3,
15
],
[
1746238585.1764038,
20,
3,
15
],
[
1746238607.2685015,
20,
3,
15
],
[
1746238629.5421922,
20,
3,
15
],
[
1746238653.1128628,
20,
3,
15
],
[
1746238672.6537306,
20,
3,
15
],
[
1746238691.1258547,
20,
3,
15
],
[
1746238710.0956664,
20,
3,
15
],
[
1746238732.6489067,
20,
3,
15
],
[
1746238755.083812,
20,
3,
15
],
[
1746238777.3050563,
20,
3,
15
],
[
1746238799.3890827,
20,
3,
15
],
[
1746238821.5393794,
20,
3,
15
],
[
1746238844.617218,
20,
3,
15
],
[
1746238866.4968998,
20,
3,
15
],
[
1746238888.0311267,
20,
3,
15
],
[
1746238910.3593986,
20,
2,
10
],
[
1746238928.179894,
20,
2,
10
],
[
1746238947.3677247,
20,
2,
10
],
[
1746238964.8721025,
20,
2,
10
],
[
1746238983.17529,
20,
2,
10
],
[
1746238999.685918,
20,
2,
10
],
[
1746239017.313122,
20,
2,
10
],
[
1746239033.7384925,
20,
2,
10
],
[
1746239052.4165173,
20,
2,
10
],
[
1746239069.2946594,
20,
2,
10
],
[
1746239087.6854777,
20,
2,
10
],
[
1746239105.2117026,
20,
2,
10
],
[
1746239123.7603364,
20,
2,
10
],
[
1746239139.960472,
20,
2,
10
],
[
1746239156.4411929,
20,
2,
10
],
[
1746239175.4823694,
20,
2,
10
],
[
1746239191.666623,
20,
2,
10
],
[
1746239210.3343914,
20,
2,
10
],
[
1746239226.6462128,
20,
2,
10
],
[
1746239244.2399933,
20,
2,
10
],
[
1746239263.3366835,
20,
2,
10
],
[
1746239281.482624,
20,
2,
10
],
[
1746239299.1449594,
20,
2,
10
],
[
1746239318.7860138,
20,
2,
10
],
[
1746239336.2870796,
20,
2,
10
],
[
1746239354.0015311,
20,
2,
10
],
[
1746239373.3883617,
20,
2,
10
],
[
1746239390.8302531,
20,
2,
10
],
[
1746239409.7430525,
20,
2,
10
],
[
1746239426.7709968,
20,
2,
10
],
[
1746239444.8514507,
20,
2,
10
],
[
1746239462.2000444,
20,
2,
10
],
[
1746239481.045887,
20,
2,
10
],
[
1746239499.2558172,
20,
2,
10
],
[
1746239517.0045776,
20,
2,
10
],
[
1746239533.7918043,
20,
2,
10
],
[
1746239551.2756188,
20,
2,
10
],
[
1746239569.089922,
20,
2,
10
],
[
1746239586.7572412,
20,
2,
10
],
[
1746239604.6019447,
20,
2,
10
],
[
1746239622.0368721,
20,
2,
10
],
[
1746239639.684136,
20,
2,
10
],
[
1746239657.5567641,
20,
2,
10
],
[
1746239675.8833897,
20,
2,
10
],
[
1746239694.0574539,
20,
2,
10
],
[
1746239711.751304,
20,
2,
10
],
[
1746239728.059489,
20,
2,
10
],
[
1746239744.372422,
20,
2,
10
],
[
1746239762.5312183,
20,
2,
10
],
[
1746239780.040497,
20,
2,
10
],
[
1746239798.703414,
20,
2,
10
],
[
1746239816.0079339,
20,
2,
10
],
[
1746239834.130628,
20,
2,
10
],
[
1746239851.6189234,
20,
2,
10
],
[
1746239869.5104613,
20,
2,
10
],
[
1746239887.8176165,
20,
2,
10
],
[
1746239906.0681074,
20,
2,
10
],
[
1746239924.4917684,
20,
2,
10
],
[
1746239941.9169302,
20,
2,
10
],
[
1746239960.0199857,
20,
2,
10
],
[
1746239978.0244105,
20,
2,
10
],
[
1746239995.046513,
20,
2,
10
],
[
1746240009.0846443,
20,
2,
10
],
[
1746240023.7083974,
20,
2,
10
],
[
1746240040.1769927,
20,
2,
10
],
[
1746240056.5441992,
20,
2,
10
],
[
1746240074.4958146,
20,
2,
10
],
[
1746240092.7216792,
20,
2,
10
],
[
1746240111.1815283,
20,
2,
10
],
[
1746240128.8010597,
20,
2,
10
],
[
1746240146.955371,
20,
2,
10
],
[
1746240165.7378778,
20,
2,
10
],
[
1746240183.2094257,
20,
2,
10
],
[
1746240200.4868193,
20,
2,
10
],
[
1746240216.8786066,
20,
2,
10
],
[
1746240233.8961377,
20,
2,
10
],
[
1746240251.5355031,
20,
2,
10
],
[
1746240268.587938,
20,
2,
10
],
[
1746240286.298965,
20,
2,
10
],
[
1746240303.0868528,
20,
2,
10
],
[
1746240320.5837736,
20,
2,
10
],
[
1746240339.3156042,
20,
2,
10
],
[
1746240357.8243773,
20,
2,
10
],
[
1746240375.354039,
20,
2,
10
],
[
1746240393.8730822,
20,
2,
10
],
[
1746240412.0539987,
20,
2,
10
],
[
1746240430.0230443,
20,
2,
10
],
[
1746240447.1863265,
20,
2,
10
],
[
1746240463.5254984,
20,
2,
10
],
[
1746240480.4602675,
20,
2,
10
],
[
1746240497.2594068,
20,
2,
10
],
[
1746240515.2495217,
20,
2,
10
],
[
1746240533.900466,
20,
2,
10
],
[
1746240551.0713682,
20,
2,
10
],
[
1746240568.7137225,
20,
2,
10
],
[
1746240586.350425,
20,
2,
10
],
[
1746240603.7160172,
20,
2,
10
],
[
1746240621.1064858,
20,
2,
10
],
[
1746240638.6231544,
20,
2,
10
],
[
1746240657.3901238,
20,
2,
10
],
[
1746240675.2415133,
20,
2,
10
],
[
1746240692.8353872,
20,
2,
10
],
[
1746240710.761672,
20,
2,
10
],
[
1746240729.268485,
20,
2,
10
],
[
1746240747.2053568,
20,
2,
10
],
[
1746240765.1853883,
20,
2,
10
],
[
1746240783.5211313,
20,
2,
10
],
[
1746240800.75194,
20,
2,
10
],
[
1746240817.3502464,
20,
2,
10
],
[
1746240834.2510614,
20,
2,
10
],
[
1746240852.1482027,
20,
2,
10
],
[
1746240870.0861757,
20,
2,
10
],
[
1746240887.520328,
20,
2,
10
],
[
1746240905.8181736,
20,
2,
10
],
[
1746240923.6238844,
20,
2,
10
],
[
1746240941.891873,
20,
2,
10
],
[
1746240959.9983397,
20,
2,
10
],
[
1746240977.5054488,
20,
2,
10
],
[
1746240995.6183422,
20,
2,
10
],
[
1746241013.595576,
20,
2,
10
],
[
1746241031.613361,
20,
2,
10
],
[
1746241049.8254297,
20,
2,
10
],
[
1746241067.957258,
20,
2,
10
],
[
1746241084.3020883,
20,
2,
10
],
[
1746241099.644288,
20,
2,
10
],
[
1746241116.3683224,
20,
2,
10
],
[
1746241133.9193182,
20,
2,
10
],
[
1746241151.0644295,
20,
2,
10
],
[
1746241167.0886307,
20,
2,
10
],
[
1746241184.6889167,
20,
2,
10
],
[
1746241202.7393801,
20,
2,
10
],
[
1746241220.6157837,
20,
2,
10
],
[
1746241237.208166,
20,
2,
10
],
[
1746241254.9021108,
20,
2,
10
],
[
1746241272.669659,
20,
2,
10
],
[
1746241290.358391,
20,
2,
10
],
[
1746241306.585792,
20,
2,
10
],
[
1746241323.9487693,
20,
2,
10
],
[
1746241344.614144,
20,
2,
10
],
[
1746241358.0560322,
20,
1,
5
],
[
1746241358.3177557,
20,
1,
5
],
[
1746241371.5674078,
20,
1,
5
],
[
1746241385.7837832,
20,
1,
5
],
[
1746241399.5563605,
20,
1,
5
],
[
1746241412.5727086,
20,
1,
5
],
[
1746241424.8852763,
20,
1,
5
],
[
1746241437.9986737,
20,
1,
5
],
[
1746241452.8004336,
20,
1,
5
],
[
1746241466.0487196,
20,
1,
5
],
[
1746241480.0751119,
20,
1,
5
],
[
1746241494.4139678,
20,
1,
5
],
[
1746241508.1943314,
20,
1,
5
],
[
1746241522.0902462,
20,
1,
5
],
[
1746241535.4600844,
20,
1,
5
],
[
1746241549.016703,
20,
1,
5
],
[
1746241563.2129502,
20,
1,
5
],
[
1746241577.084857,
20,
1,
5
],
[
1746241590.9841862,
20,
1,
5
],
[
1746241604.6510434,
20,
1,
5
],
[
1746241619.8093529,
20,
1,
5
],
[
1746241633.4306064,
20,
1,
5
],
[
1746241647.2732944,
20,
1,
5
],
[
1746241661.0349555,
20,
1,
5
],
[
1746241674.529949,
20,
1,
5
],
[
1746241687.412205,
20,
1,
5
],
[
1746241700.769623,
20,
1,
5
],
[
1746241714.049317,
20,
1,
5
],
[
1746241727.5103917,
20,
1,
5
],
[
1746241741.8171365,
20,
1,
5
],
[
1746241755.6938598,
20,
1,
5
],
[
1746241769.5576134,
20,
1,
5
],
[
1746241783.459208,
20,
1,
5
],
[
1746241797.3999827,
20,
1,
5
],
[
1746241811.308233,
20,
1,
5
],
[
1746241825.0586638,
20,
1,
5
],
[
1746241839.413936,
20,
1,
5
],
[
1746241852.5459282,
20,
1,
5
],
[
1746241864.983816,
20,
1,
5
],
[
1746241877.45484,
20,
1,
5
],
[
1746241889.939467,
20,
1,
5
],
[
1746241902.3013139,
20,
1,
5
],
[
1746241914.584487,
20,
1,
5
],
[
1746241927.2208016,
20,
1,
5
],
[
1746241947.873576,
20,
1,
5
],
[
1746241956.3388546,
20,
0,
0
],
[
1746241969.1470318,
20,
0,
0
],
[
1746242591.6924284,
20,
0,
0
],
[
1746242592.1178231,
20,
0,
0
],
[
1746242594.1997347,
20,
1,
5
],
[
1746242601.3062387,
20,
1,
5
],
[
1746243225.2681518,
20,
1,
5
],
[
1746243225.8618398,
20,
1,
5
],
[
1746243227.5539744,
20,
2,
10
],
[
1746243228.5782511,
20,
2,
10
],
[
1746243241.472081,
20,
1,
5
],
[
1746243241.5797975,
20,
1,
5
],
[
1746244027.141404,
20,
1,
5
],
[
1746244027.743926,
20,
1,
5
],
[
1746244029.62977,
20,
2,
10
],
[
1746244040.7279239,
20,
2,
10
],
[
1746244927.7123182,
20,
2,
10
],
[
1746244928.311857,
20,
2,
10
],
[
1746244930.4432566,
20,
3,
15
],
[
1746244945.9079938,
20,
3,
15
],
[
1746245649.6822665,
20,
3,
15
],
[
1746245650.1980705,
20,
3,
15
],
[
1746245652.2116046,
20,
4,
20
],
[
1746245673.3778803,
20,
4,
20
],
[
1746246396.6181407,
20,
4,
20
],
[
1746246397.2388783,
20,
4,
20
],
[
1746246399.2637665,
20,
5,
25
],
[
1746246420.203687,
20,
5,
25
],
[
1746247126.3344624,
20,
5,
25
],
[
1746247127.150218,
20,
5,
25
],
[
1746247129.1948123,
20,
6,
30
],
[
1746247144.2709105,
20,
6,
30
],
[
1746247156.1318552,
20,
5,
25
],
[
1746247156.2573862,
20,
5,
25
],
[
1746247959.9520283,
20,
5,
25
],
[
1746247960.30018,
20,
5,
25
],
[
1746247962.1005638,
20,
6,
30
],
[
1746247979.1281564,
20,
6,
30
],
[
1746247991.160529,
20,
5,
25
],
[
1746247991.2993631,
20,
5,
25
],
[
1746248883.8453653,
20,
5,
25
],
[
1746248884.368939,
20,
5,
25
],
[
1746248886.340149,
20,
6,
30
],
[
1746248913.2569907,
20,
6,
30
],
[
1746249900.0781791,
20,
6,
30
],
[
1746249900.7437973,
20,
6,
30
],
[
1746249902.6245792,
20,
7,
35
],
[
1746249939.2554512,
20,
7,
35
],
[
1746250896.5812576,
20,
7,
35
],
[
1746250897.3418596,
20,
7,
35
],
[
1746250899.529375,
20,
8,
40
],
[
1746250915.3284519,
20,
8,
40
],
[
1746250960.1146615,
20,
7,
35
],
[
1746250960.24906,
20,
7,
35
],
[
1746252125.3854609,
20,
7,
35
],
[
1746252126.357177,
20,
7,
35
],
[
1746252128.5321925,
20,
8,
40
],
[
1746252144.449484,
20,
8,
40
],
[
1746252189.3642693,
20,
7,
35
],
[
1746252189.7899396,
20,
6,
30
],
[
1746253091.7826314,
20,
6,
30
],
[
1746253092.3866818,
20,
6,
30
],
[
1746253094.4472566,
20,
7,
35
],
[
1746253110.1516616,
20,
7,
35
],
[
1746253146.7115834,
20,
6,
30
],
[
1746253146.8376231,
20,
6,
30
],
[
1746254177.841524,
20,
6,
30
],
[
1746254178.4348555,
20,
6,
30
],
[
1746254180.4189513,
20,
7,
35
],
[
1746254212.8399704,
20,
7,
35
],
[
1746255403.4458737,
20,
7,
35
],
[
1746255404.40288,
20,
7,
35
],
[
1746255406.5991962,
20,
8,
40
],
[
1746255422.5923026,
20,
8,
40
],
[
1746255453.3604534,
20,
7,
35
],
[
1746255467.8361905,
20,
6,
30
],
[
1746255468.0021682,
20,
6,
30
],
[
1746256464.980096,
20,
6,
30
],
[
1746256465.5958235,
20,
6,
30
],
[
1746256467.4258533,
20,
7,
35
],
[
1746256483.1843593,
20,
7,
35
],
[
1746256512.0959015,
20,
6,
30
],
[
1746256522.373067,
20,
5,
25
],
[
1746256522.4803567,
20,
5,
25
],
[
1746257713.392188,
20,
5,
25
],
[
1746257714.3309865,
20,
5,
25
],
[
1746257716.472391,
20,
6,
30
],
[
1746257732.2470553,
20,
6,
30
],
[
1746257765.1431282,
20,
5,
25
],
[
1746257765.3087323,
20,
5,
25
],
[
1746258470.1512563,
20,
5,
25
],
[
1746258470.7535243,
20,
5,
25
],
[
1746258472.62095,
20,
6,
30
],
[
1746258488.3653233,
20,
6,
30
],
[
1746258519.8002682,
20,
5,
25
],
[
1746258519.947487,
20,
5,
25
],
[
1746259391.5802343,
20,
5,
25
],
[
1746259392.3255246,
20,
5,
25
],
[
1746259394.4925592,
20,
6,
30
],
[
1746259410.2704592,
20,
6,
30
],
[
1746259443.1636286,
20,
5,
25
],
[
1746259443.3188345,
20,
5,
25
],
[
1746260387.260955,
20,
5,
25
],
[
1746260387.9034274,
20,
5,
25
],
[
1746260389.7258778,
20,
6,
30
],
[
1746260405.4892344,
20,
6,
30
],
[
1746260436.928868,
20,
5,
25
],
[
1746260437.1664689,
20,
5,
25
],
[
1746260460.6820521,
20,
5,
25
],
[
1746260488.8383095,
20,
5,
25
],
[
1746260516.8159266,
20,
5,
25
],
[
1746260548.538777,
20,
5,
25
],
[
1746260577.9209416,
20,
5,
25
],
[
1746260607.1727653,
20,
5,
25
],
[
1746260636.2462418,
20,
5,
25
],
[
1746260666.5569465,
20,
5,
25
],
[
1746260698.209907,
20,
5,
25
],
[
1746260729.4534552,
20,
5,
25
],
[
1746260759.6189904,
20,
5,
25
],
[
1746260789.1871085,
20,
5,
25
],
[
1746260818.3797944,
20,
5,
25
],
[
1746260848.373201,
20,
5,
25
],
[
1746260877.985824,
20,
5,
25
],
[
1746260907.3459659,
20,
5,
25
],
[
1746260936.1084764,
20,
5,
25
],
[
1746260964.7261093,
20,
5,
25
],
[
1746260994.2044592,
20,
5,
25
],
[
1746261023.9667692,
20,
5,
25
],
[
1746261053.350406,
20,
5,
25
],
[
1746261083.6969066,
20,
5,
25
],
[
1746261113.8681018,
20,
5,
25
],
[
1746261142.8488626,
20,
5,
25
],
[
1746261172.179653,
20,
5,
25
],
[
1746261202.4133663,
20,
5,
25
],
[
1746261232.8086247,
20,
5,
25
],
[
1746261263.5173898,
20,
5,
25
],
[
1746261295.2437155,
20,
5,
25
],
[
1746261325.438199,
20,
5,
25
],
[
1746261355.8272903,
20,
5,
25
],
[
1746261386.1022468,
20,
5,
25
],
[
1746261415.7357156,
20,
5,
25
],
[
1746261444.2806628,
20,
5,
25
],
[
1746261469.9171677,
20,
5,
25
],
[
1746261497.4236276,
20,
5,
25
],
[
1746261525.9166477,
20,
5,
25
],
[
1746261555.6037505,
20,
5,
25
],
[
1746261585.3459225,
20,
5,
25
],
[
1746261614.460671,
20,
5,
25
],
[
1746261645.4608657,
20,
5,
25
],
[
1746261674.5670981,
20,
5,
25
],
[
1746261703.6520326,
20,
5,
25
],
[
1746261733.413521,
20,
5,
25
],
[
1746261761.8592186,
20,
5,
25
],
[
1746261792.2058985,
20,
5,
25
],
[
1746261821.5687017,
20,
5,
25
],
[
1746261850.4596593,
20,
5,
25
],
[
1746261879.3847551,
20,
5,
25
],
[
1746261909.4494267,
20,
5,
25
],
[
1746261939.262427,
20,
5,
25
],
[
1746261967.8089025,
20,
5,
25
],
[
1746261995.529687,
20,
5,
25
],
[
1746262024.1057856,
20,
5,
25
],
[
1746262047.981162,
20,
5,
25
],
[
1746262075.1074758,
20,
5,
25
],
[
1746262106.5116966,
20,
5,
25
],
[
1746262136.840551,
20,
5,
25
],
[
1746262167.7111826,
20,
5,
25
],
[
1746262197.9969668,
20,
5,
25
],
[
1746262227.34302,
20,
5,
25
],
[
1746262257.999277,
20,
5,
25
],
[
1746262287.5707376,
20,
5,
25
],
[
1746262317.4321651,
20,
5,
25
],
[
1746262348.4321125,
20,
5,
25
],
[
1746262378.408344,
20,
5,
25
],
[
1746262409.5617762,
20,
5,
25
],
[
1746262440.4228587,
20,
5,
25
],
[
1746262466.616961,
20,
5,
25
],
[
1746262494.348213,
20,
5,
25
],
[
1746262523.69605,
20,
5,
25
],
[
1746262555.4637027,
20,
5,
25
],
[
1746262584.9347827,
20,
5,
25
],
[
1746262613.4537783,
20,
5,
25
],
[
1746262641.8365135,
20,
5,
25
],
[
1746262669.988021,
20,
5,
25
],
[
1746262698.452851,
20,
5,
25
],
[
1746262728.3725772,
20,
5,
25
],
[
1746262758.5891774,
20,
5,
25
],
[
1746262787.8944192,
20,
5,
25
],
[
1746262815.3595958,
20,
5,
25
],
[
1746262843.612908,
20,
5,
25
],
[
1746262864.3899791,
20,
5,
25
],
[
1746262892.518838,
20,
4,
20
],
[
1746262892.7981048,
20,
4,
20
],
[
1746262918.5877702,
20,
4,
20
],
[
1746262943.7742567,
20,
4,
20
],
[
1746262967.7575788,
20,
4,
20
],
[
1746262992.4104545,
20,
4,
20
],
[
1746263018.3370225,
20,
4,
20
],
[
1746263043.773464,
20,
4,
20
],
[
1746263070.4023545,
20,
4,
20
],
[
1746263096.0197477,
20,
4,
20
],
[
1746263121.8021483,
20,
4,
20
],
[
1746263148.5616164,
20,
4,
20
],
[
1746263174.5847645,
20,
4,
20
],
[
1746263199.865473,
20,
4,
20
],
[
1746263223.0621195,
20,
4,
20
],
[
1746263247.6503785,
20,
4,
20
],
[
1746263272.282034,
20,
4,
20
],
[
1746263298.8807106,
20,
4,
20
],
[
1746263325.0325115,
20,
4,
20
],
[
1746263351.202662,
20,
4,
20
],
[
1746263376.4458811,
20,
4,
20
],
[
1746263401.3042355,
20,
4,
20
],
[
1746263427.2108564,
20,
4,
20
],
[
1746263451.9886687,
20,
4,
20
],
[
1746263476.9374666,
20,
4,
20
],
[
1746263503.167995,
20,
4,
20
],
[
1746263528.863039,
20,
4,
20
],
[
1746263554.9351728,
20,
4,
20
],
[
1746263580.8906934,
20,
4,
20
],
[
1746263605.6729617,
20,
4,
20
],
[
1746263631.9667447,
20,
4,
20
],
[
1746263657.2742157,
20,
4,
20
],
[
1746263684.0688362,
20,
4,
20
],
[
1746263710.5626686,
20,
4,
20
],
[
1746263738.660814,
20,
4,
20
],
[
1746263765.7722785,
20,
4,
20
],
[
1746263795.2842941,
20,
4,
20
],
[
1746263822.2895775,
20,
4,
20
],
[
1746263849.2455554,
20,
4,
20
],
[
1746263876.1874907,
20,
4,
20
],
[
1746263904.7295337,
20,
4,
20
],
[
1746263930.2280486,
20,
4,
20
],
[
1746263953.366343,
20,
4,
20
],
[
1746263976.25767,
20,
4,
20
],
[
1746263999.0884557,
20,
4,
20
],
[
1746264024.9988084,
20,
4,
20
],
[
1746264051.057277,
20,
4,
20
],
[
1746264079.5243707,
20,
4,
20
],
[
1746264106.811332,
20,
4,
20
],
[
1746264133.4994907,
20,
4,
20
],
[
1746264162.2068887,
20,
4,
20
],
[
1746264190.2439651,
20,
4,
20
],
[
1746264218.2742155,
20,
4,
20
],
[
1746264245.9563208,
20,
4,
20
],
[
1746264274.3453102,
20,
4,
20
],
[
1746264301.8557546,
20,
4,
20
],
[
1746264329.9132123,
20,
4,
20
],
[
1746264356.902356,
20,
4,
20
],
[
1746264382.7657695,
20,
4,
20
],
[
1746264407.7511246,
20,
4,
20
],
[
1746264433.501059,
20,
4,
20
],
[
1746264458.986352,
20,
4,
20
],
[
1746264484.801676,
20,
4,
20
],
[
1746264512.6051388,
20,
4,
20
],
[
1746264539.3114724,
20,
4,
20
],
[
1746264568.0984385,
20,
4,
20
],
[
1746264594.8069518,
20,
4,
20
],
[
1746264623.6220524,
20,
4,
20
],
[
1746264651.9918413,
20,
4,
20
],
[
1746264678.6279685,
20,
4,
20
],
[
1746264706.9710464,
20,
4,
20
],
[
1746264733.837439,
20,
4,
20
],
[
1746264762.0234482,
20,
4,
20
],
[
1746264786.3554242,
20,
4,
20
],
[
1746264813.6880171,
20,
4,
20
],
[
1746264839.972313,
20,
4,
20
],
[
1746264867.5928078,
20,
4,
20
],
[
1746264893.2204573,
20,
4,
20
],
[
1746264920.541617,
20,
4,
20
],
[
1746264947.5150077,
20,
4,
20
],
[
1746264974.13395,
20,
4,
20
],
[
1746265003.4865978,
20,
4,
20
],
[
1746265030.070406,
20,
4,
20
],
[
1746265056.95406,
20,
4,
20
],
[
1746265086.3954597,
20,
4,
20
],
[
1746265113.2213802,
20,
4,
20
],
[
1746265139.970842,
20,
4,
20
],
[
1746265167.9502602,
20,
4,
20
],
[
1746265195.5196164,
20,
4,
20
],
[
1746265223.5252542,
20,
4,
20
],
[
1746265250.7864406,
20,
4,
20
],
[
1746265278.1045382,
20,
3,
15
],
[
1746265300.1028597,
20,
3,
15
],
[
1746265321.5811741,
20,
3,
15
],
[
1746265344.018687,
20,
3,
15
],
[
1746265365.5848794,
20,
3,
15
],
[
1746265388.3554113,
20,
3,
15
],
[
1746265411.7587104,
20,
3,
15
],
[
1746265434.3165498,
20,
3,
15
],
[
1746265457.388243,
20,
3,
15
],
[
1746265480.616284,
20,
3,
15
],
[
1746265504.2326474,
20,
3,
15
],
[
1746265527.3539014,
20,
3,
15
],
[
1746265550.4696243,
20,
3,
15
],
[
1746265574.261371,
20,
3,
15
],
[
1746265597.113421,
20,
3,
15
],
[
1746265620.1219273,
20,
3,
15
],
[
1746265643.1658688,
20,
3,
15
],
[
1746265666.4492464,
20,
3,
15
],
[
1746265690.3959286,
20,
3,
15
],
[
1746265712.8965883,
20,
3,
15
],
[
1746265736.4243612,
20,
3,
15
],
[
1746265760.4010746,
20,
3,
15
],
[
1746265782.530418,
20,
3,
15
],
[
1746265804.5433173,
20,
3,
15
],
[
1746265827.4527774,
20,
3,
15
],
[
1746265850.0944982,
20,
3,
15
],
[
1746265874.7294903,
20,
2,
10
],
[
1746265892.3824875,
20,
2,
10
],
[
1746265910.2474313,
20,
2,
10
],
[
1746265927.798935,
20,
2,
10
],
[
1746265946.7416062,
20,
2,
10
],
[
1746265964.479315,
20,
2,
10
],
[
1746265983.0338507,
20,
2,
10
],
[
1746266001.476864,
20,
2,
10
],
[
1746266020.686382,
20,
2,
10
],
[
1746266038.7445962,
20,
2,
10
],
[
1746266058.6672735,
20,
2,
10
],
[
1746266077.3663826,
20,
2,
10
],
[
1746266095.6983035,
20,
2,
10
],
[
1746266115.3422453,
20,
2,
10
],
[
1746266133.1635997,
20,
2,
10
],
[
1746266149.6465352,
20,
2,
10
],
[
1746266167.1575465,
20,
2,
10
],
[
1746266183.3969216,
20,
2,
10
],
[
1746266200.78972,
20,
2,
10
],
[
1746266219.587956,
20,
2,
10
],
[
1746266237.5879016,
20,
2,
10
],
[
1746266255.8041744,
20,
2,
10
],
[
1746266274.3991575,
20,
2,
10
],
[
1746266293.2066584,
20,
2,
10
],
[
1746266311.9337354,
20,
2,
10
],
[
1746266329.0898318,
20,
2,
10
],
[
1746266346.852982,
20,
2,
10
],
[
1746266364.8729904,
20,
2,
10
],
[
1746266383.2375374,
20,
2,
10
],
[
1746266403.059204,
20,
2,
10
],
[
1746266421.7885995,
20,
2,
10
],
[
1746266440.5727124,
20,
2,
10
],
[
1746266459.2561257,
20,
2,
10
],
[
1746266477.7571704,
20,
2,
10
],
[
1746266496.0904098,
20,
2,
10
],
[
1746266514.4966912,
20,
2,
10
],
[
1746266532.7391663,
20,
2,
10
],
[
1746266552.824242,
20,
2,
10
],
[
1746266571.6932895,
20,
2,
10
],
[
1746266589.1449845,
20,
2,
10
],
[
1746266608.98634,
20,
2,
10
],
[
1746266628.2383475,
20,
2,
10
],
[
1746266645.6202438,
20,
2,
10
],
[
1746266664.4340737,
20,
2,
10
],
[
1746266683.2913067,
20,
2,
10
],
[
1746266702.9760308,
20,
2,
10
],
[
1746266722.209246,
20,
2,
10
],
[
1746266740.9062245,
20,
2,
10
],
[
1746266759.7677855,
20,
2,
10
],
[
1746266778.7017734,
20,
2,
10
],
[
1746266797.2927573,
20,
2,
10
],
[
1746266815.1937318,
20,
2,
10
],
[
1746266833.0978003,
20,
2,
10
],
[
1746266851.4409702,
20,
2,
10
],
[
1746266868.4699903,
20,
2,
10
],
[
1746266886.6501586,
20,
2,
10
],
[
1746266905.8928547,
20,
2,
10
],
[
1746266924.7485244,
20,
2,
10
],
[
1746266943.9559941,
20,
2,
10
],
[
1746266963.2980416,
20,
2,
10
],
[
1746266980.9863791,
20,
2,
10
],
[
1746267000.7804406,
20,
2,
10
],
[
1746267020.1084847,
20,
2,
10
],
[
1746267039.2537086,
20,
2,
10
],
[
1746267058.5872114,
20,
2,
10
],
[
1746267076.9224765,
20,
1,
5
],
[
1746267090.9522374,
20,
1,
5
],
[
1746267106.2671,
20,
1,
5
],
[
1746267120.129262,
20,
1,
5
],
[
1746267133.974191,
20,
1,
5
],
[
1746267147.6300411,
20,
1,
5
],
[
1746267161.987427,
20,
1,
5
],
[
1746267176.2173636,
20,
1,
5
],
[
1746267191.1381803,
20,
1,
5
],
[
1746267207.2112687,
20,
1,
5
],
[
1746267221.4607275,
20,
1,
5
],
[
1746267235.775349,
20,
1,
5
],
[
1746267250.1718822,
20,
1,
5
],
[
1746267264.8732991,
20,
1,
5
],
[
1746267279.4072578,
20,
1,
5
],
[
1746267293.6536016,
20,
1,
5
],
[
1746267307.8605735,
20,
1,
5
],
[
1746267322.0085392,
20,
1,
5
],
[
1746267335.4339,
20,
1,
5
],
[
1746267349.9407198,
20,
1,
5
],
[
1746267363.3540072,
20,
1,
5
],
[
1746267377.3300521,
20,
1,
5
],
[
1746267391.3356683,
20,
1,
5
],
[
1746267405.211298,
20,
1,
5
],
[
1746267419.0886002,
20,
1,
5
],
[
1746267433.579678,
20,
1,
5
],
[
1746267447.9836786,
20,
1,
5
],
[
1746267462.3612366,
20,
1,
5
],
[
1746267476.6703923,
20,
1,
5
],
[
1746267490.9570558,
20,
1,
5
],
[
1746267505.1532555,
20,
1,
5
],
[
1746267519.416011,
20,
1,
5
],
[
1746267535.285561,
20,
1,
5
],
[
1746267549.5968218,
20,
1,
5
],
[
1746267564.0572488,
20,
1,
5
],
[
1746267578.7875154,
20,
1,
5
],
[
1746267593.2571738,
20,
1,
5
],
[
1746267607.1089485,
20,
1,
5
],
[
1746267620.956391,
20,
1,
5
],
[
1746267634.7305841,
20,
1,
5
],
[
1746267649.3602965,
20,
1,
5
],
[
1746267663.5058246,
20,
1,
5
],
[
1746267693.2078183,
20,
0,
0
],
[
1746268610.096208,
20,
0,
0
],
[
1746268610.6866086,
20,
0,
0
],
[
1746268613.0488243,
20,
1,
5
],
[
1746268622.7744617,
20,
1,
5
],
[
1746269832.6451333,
20,
1,
5
],
[
1746269833.4308045,
20,
1,
5
],
[
1746269835.561087,
20,
2,
10
],
[
1746269850.3001883,
20,
2,
10
],
[
1746270862.8902647,
20,
2,
10
],
[
1746270863.5524976,
20,
2,
10
],
[
1746270865.504331,
20,
3,
15
],
[
1746270870.6689487,
20,
3,
15
],
[
1746270885.7559729,
20,
2,
10
],
[
1746270885.892926,
20,
2,
10
],
[
1746272323.4779985,
20,
2,
10
],
[
1746272324.4225998,
20,
2,
10
],
[
1746272327.5687063,
20,
3,
15
],
[
1746272334.5985696,
20,
3,
15
],
[
1746272348.229136,
20,
2,
10
],
[
1746272348.4386575,
20,
2,
10
],
[
1746273752.9498155,
20,
2,
10
],
[
1746273753.7102704,
20,
2,
10
],
[
1746273755.7449472,
20,
3,
15
],
[
1746273774.9787538,
20,
3,
15
],
[
1746274883.9019914,
20,
3,
15
],
[
1746274884.6131516,
20,
3,
15
],
[
1746274886.5418947,
20,
4,
20
],
[
1746274897.491879,
20,
4,
20
],
[
1746274912.8726413,
20,
3,
15
],
[
1746274912.982875,
20,
3,
15
],
[
1746276019.6731598,
20,
3,
15
],
[
1746276020.3498504,
20,
3,
15
],
[
1746276022.4454563,
20,
4,
20
],
[
1746276038.5006518,
20,
4,
20
],
[
1746276064.0018482,
20,
3,
15
],
[
1746276064.1514533,
20,
3,
15
],
[
1746277138.0722399,
20,
3,
15
],
[
1746277138.814683,
20,
3,
15
],
[
1746277140.7294564,
20,
4,
20
],
[
1746277151.6374733,
20,
4,
20
],
[
1746277165.6070237,
20,
3,
15
],
[
1746277165.8980265,
20,
3,
15
],
[
1746278297.9359646,
20,
3,
15
],
[
1746278298.6776147,
20,
3,
15
],
[
1746278300.7013688,
20,
4,
20
],
[
1746278325.0904303,
20,
4,
20
],
[
1746279270.7752607,
20,
4,
20
],
[
1746279271.3449874,
20,
4,
20
],
[
1746279273.4577975,
20,
5,
25
],
[
1746279299.2175593,
20,
5,
25
],
[
1746280085.9705546,
20,
5,
25
],
[
1746280086.6510086,
20,
5,
25
],
[
1746280088.549834,
20,
6,
30
],
[
1746280104.4665847,
20,
6,
30
],
[
1746280126.873796,
20,
5,
25
],
[
1746280135.0212183,
20,
4,
20
],
[
1746280146.0655587,
20,
3,
15
],
[
1746280146.2596,
20,
3,
15
],
[
1746281210.4161055,
20,
3,
15
],
[
1746281211.4068186,
20,
3,
15
],
[
1746281213.5045662,
20,
4,
20
],
[
1746281236.1581304,
20,
4,
20
],
[
1746282088.800001,
20,
4,
20
],
[
1746282089.4316733,
20,
4,
20
],
[
1746282091.4308474,
20,
5,
25
],
[
1746282116.8714223,
20,
5,
25
],
[
1746283140.5734925,
20,
5,
25
],
[
1746283141.3580537,
20,
5,
25
],
[
1746283143.5027294,
20,
6,
30
],
[
1746283159.430942,
20,
6,
30
],
[
1746283195.820625,
20,
5,
25
],
[
1746283195.9484935,
20,
5,
25
],
[
1746284164.6621025,
20,
5,
25
],
[
1746284165.428571,
20,
5,
25
],
[
1746284167.5199378,
20,
6,
30
],
[
1746284187.8832724,
20,
6,
30
],
[
1746284202.0644374,
20,
5,
25
],
[
1746284202.3161554,
20,
5,
25
],
[
1746285146.0906315,
20,
5,
25
],
[
1746285146.7980263,
20,
5,
25
],
[
1746285148.6939852,
20,
6,
30
],
[
1746285164.6425276,
20,
6,
30
],
[
1746285201.514061,
20,
5,
25
],
[
1746285201.662085,
20,
5,
25
],
[
1746286125.39893,
20,
5,
25
],
[
1746286126.10328,
20,
5,
25
],
[
1746286128.1488497,
20,
6,
30
],
[
1746286144.0754657,
20,
6,
30
],
[
1746286174.713045,
20,
5,
25
],
[
1746286174.8725116,
20,
5,
25
],
[
1746287108.1864629,
20,
5,
25
],
[
1746287108.9059594,
20,
5,
25
],
[
1746287110.8599484,
20,
6,
30
],
[
1746287142.8979402,
20,
6,
30
],
[
1746287938.5974224,
20,
6,
30
],
[
1746287939.4877107,
20,
6,
30
],
[
1746287941.6011953,
20,
7,
35
],
[
1746287967.0499432,
20,
7,
35
],
[
1746287982.573122,
20,
6,
30
],
[
1746287982.8695126,
20,
6,
30
],
[
1746288898.389225,
20,
6,
30
],
[
1746288899.3610518,
20,
6,
30
],
[
1746288901.5689766,
20,
7,
35
],
[
1746288917.4806945,
20,
7,
35
],
[
1746288956.3627303,
20,
6,
30
],
[
1746288956.7542825,
20,
6,
30
],
[
1746288990.435988,
20,
6,
30
],
[
1746289026.3234181,
20,
6,
30
],
[
1746289063.0708892,
20,
6,
30
],
[
1746289099.9692473,
20,
6,
30
],
[
1746289135.7594607,
20,
6,
30
],
[
1746289173.871383,
20,
6,
30
],
[
1746289211.4093542,
20,
6,
30
],
[
1746289249.2372115,
20,
6,
30
],
[
1746289285.3970244,
20,
6,
30
],
[
1746289322.0903432,
20,
6,
30
],
[
1746289358.8100357,
20,
6,
30
],
[
1746289397.3362374,
20,
6,
30
],
[
1746289433.9853404,
20,
6,
30
],
[
1746289470.8365662,
20,
6,
30
],
[
1746289507.788436,
20,
6,
30
],
[
1746289543.9676273,
20,
6,
30
],
[
1746289578.0594623,
20,
5,
25
],
[
1746289609.6335528,
20,
5,
25
],
[
1746289642.0607247,
20,
5,
25
],
[
1746289672.8603895,
20,
5,
25
],
[
1746289705.0137486,
20,
5,
25
],
[
1746289736.4785993,
20,
5,
25
],
[
1746289769.946544,
20,
5,
25
],
[
1746289801.7751467,
20,
5,
25
],
[
1746289835.7980392,
20,
5,
25
],
[
1746289867.7491903,
20,
5,
25
],
[
1746289900.0784388,
20,
5,
25
],
[
1746289933.810526,
20,
5,
25
],
[
1746289967.3723693,
20,
5,
25
],
[
1746289999.6416068,
20,
5,
25
],
[
1746290032.2234895,
20,
5,
25
],
[
1746290064.3845916,
20,
5,
25
],
[
1746290096.0757055,
20,
5,
25
],
[
1746290128.4629674,
20,
5,
25
],
[
1746290161.5923347,
20,
5,
25
],
[
1746290194.4725654,
20,
5,
25
],
[
1746290227.4814594,
20,
5,
25
],
[
1746290259.0338938,
20,
5,
25
],
[
1746290289.3539479,
20,
5,
25
],
[
1746290321.5038426,
20,
5,
25
],
[
1746290354.0863307,
20,
5,
25
],
[
1746290386.161501,
20,
5,
25
],
[
1746290419.648103,
20,
5,
25
],
[
1746290452.0145774,
20,
5,
25
],
[
1746290485.4352343,
20,
5,
25
],
[
1746290518.4153247,
20,
5,
25
],
[
1746290550.797397,
20,
5,
25
],
[
1746290583.1979628,
20,
5,
25
],
[
1746290615.9824238,
20,
5,
25
],
[
1746290647.86445,
20,
5,
25
],
[
1746290679.6122353,
20,
5,
25
],
[
1746290712.2554867,
20,
5,
25
],
[
1746290743.7611415,
20,
5,
25
],
[
1746290776.3177805,
20,
5,
25
],
[
1746290808.6416292,
20,
5,
25
],
[
1746290843.4012764,
20,
5,
25
],
[
1746290876.9292028,
20,
5,
25
],
[
1746290909.9811203,
20,
5,
25
],
[
1746290943.1223974,
20,
5,
25
],
[
1746290976.3655784,
20,
5,
25
],
[
1746291009.6002555,
20,
5,
25
],
[
1746291042.799408,
20,
5,
25
],
[
1746291076.2884667,
20,
5,
25
],
[
1746291109.0273788,
20,
5,
25
],
[
1746291141.9481335,
20,
5,
25
],
[
1746291174.278491,
20,
5,
25
],
[
1746291204.719063,
20,
5,
25
],
[
1746291236.0132434,
20,
5,
25
],
[
1746291269.1225355,
20,
5,
25
],
[
1746291302.8381546,
20,
5,
25
],
[
1746291336.0646715,
20,
5,
25
],
[
1746291369.3388686,
20,
5,
25
],
[
1746291402.9956996,
20,
5,
25
],
[
1746291436.127329,
20,
5,
25
],
[
1746291469.6211293,
20,
5,
25
],
[
1746291502.1742547,
20,
5,
25
],
[
1746291534.8129907,
20,
5,
25
],
[
1746291567.46379,
20,
5,
25
],
[
1746291599.4379144,
20,
5,
25
],
[
1746291631.1854086,
20,
5,
25
],
[
1746291662.407989,
20,
5,
25
],
[
1746291695.406089,
20,
5,
25
],
[
1746291727.5170445,
20,
5,
25
],
[
1746291761.533994,
20,
5,
25
],
[
1746291794.150393,
20,
5,
25
],
[
1746291825.6177962,
20,
5,
25
],
[
1746291854.920899,
20,
5,
25
],
[
1746291886.0885036,
20,
5,
25
],
[
1746291917.5238404,
20,
5,
25
],
[
1746291948.5359309,
20,
5,
25
],
[
1746291978.0584025,
20,
4,
20
],
[
1746292003.7093523,
20,
4,
20
],
[
1746292029.4011178,
20,
4,
20
],
[
1746292055.6278481,
20,
4,
20
],
[
1746292082.29854,
20,
4,
20
],
[
1746292109.383142,
20,
4,
20
],
[
1746292137.977211,
20,
4,
20
],
[
1746292166.5119765,
20,
4,
20
],
[
1746292194.3434782,
20,
4,
20
],
[
1746292223.454222,
20,
4,
20
],
[
1746292251.9579625,
20,
4,
20
],
[
1746292279.7415054,
20,
4,
20
],
[
1746292307.8541248,
20,
4,
20
],
[
1746292336.3203626,
20,
4,
20
],
[
1746292365.255438,
20,
4,
20
],
[
1746292393.7279668,
20,
4,
20
],
[
1746292422.3662906,
20,
4,
20
],
[
1746292451.8635743,
20,
4,
20
],
[
1746292479.530657,
20,
4,
20
],
[
1746292508.422949,
20,
4,
20
],
[
1746292537.0034616,
20,
4,
20
],
[
1746292564.5164926,
20,
4,
20
],
[
1746292585.315905,
20,
4,
20
],
[
1746292611.0424075,
20,
3,
15
],
[
1746292611.3561075,
20,
3,
15
],
[
1746292635.6381752,
20,
3,
15
],
[
1746292658.252808,
20,
3,
15
],
[
1746292680.2864242,
20,
3,
15
],
[
1746292703.2757921,
20,
3,
15
],
[
1746292724.9995267,
20,
3,
15
],
[
1746292747.757702,
20,
3,
15
],
[
1746292772.3173776,
20,
3,
15
],
[
1746292796.704569,
20,
3,
15
],
[
1746292819.6799285,
20,
3,
15
],
[
1746292844.2735317,
20,
3,
15
],
[
1746292868.5973883,
20,
3,
15
],
[
1746292891.4005558,
20,
3,
15
],
[
1746292915.5000582,
20,
3,
15
],
[
1746292937.9927573,
20,
3,
15
],
[
1746292962.4529135,
20,
3,
15
],
[
1746292986.961769,
20,
3,
15
],
[
1746293010.0112414,
20,
3,
15
],
[
1746293034.589665,
20,
3,
15
],
[
1746293057.9113643,
20,
3,
15
],
[
1746293082.2384071,
20,
3,
15
],
[
1746293105.0422895,
20,
3,
15
],
[
1746293129.2665133,
20,
3,
15
],
[
1746293152.0259297,
20,
3,
15
],
[
1746293177.550302,
20,
3,
15
],
[
1746293200.942175,
20,
3,
15
],
[
1746293224.1481311,
20,
3,
15
],
[
1746293249.2395606,
20,
3,
15
],
[
1746293272.378282,
20,
3,
15
],
[
1746293295.032083,
20,
3,
15
],
[
1746293318.4599838,
20,
3,
15
],
[
1746293340.7279177,
20,
3,
15
],
[
1746293363.8409948,
20,
3,
15
],
[
1746293388.9553456,
20,
3,
15
],
[
1746293412.3476975,
20,
3,
15
],
[
1746293435.6555264,
20,
3,
15
],
[
1746293459.5934443,
20,
3,
15
],
[
1746293483.3069108,
20,
3,
15
],
[
1746293504.7349105,
20,
3,
15
],
[
1746293527.0998871,
20,
3,
15
],
[
1746293549.6059825,
20,
3,
15
],
[
1746293572.7617385,
20,
3,
15
],
[
1746293596.792581,
20,
3,
15
],
[
1746293620.3108206,
20,
3,
15
],
[
1746293643.8008938,
20,
3,
15
],
[
1746293667.4399405,
20,
3,
15
],
[
1746293691.3561523,
20,
3,
15
],
[
1746293714.8039336,
20,
3,
15
],
[
1746293737.9074337,
20,
3,
15
],
[
1746293761.557027,
20,
3,
15
],
[
1746293784.6266103,
20,
2,
10
],
[
1746293803.8887386,
20,
2,
10
],
[
1746293821.4702306,
20,
2,
10
],
[
1746293841.279855,
20,
2,
10
],
[
1746293858.8551753,
20,
2,
10
],
[
1746293877.7499886,
20,
2,
10
],
[
1746293895.387716,
20,
2,
10
],
[
1746293914.8618279,
20,
2,
10
],
[
1746293932.6818924,
20,
2,
10
],
[
1746293952.4709396,
20,
2,
10
],
[
1746293970.164311,
20,
2,
10
],
[
1746293989.3793366,
20,
2,
10
],
[
1746294007.159763,
20,
2,
10
],
[
1746294026.7295604,
20,
2,
10
],
[
1746294044.7072113,
20,
2,
10
],
[
1746294064.3019493,
20,
2,
10
],
[
1746294082.038699,
20,
2,
10
],
[
1746294101.396131,
20,
2,
10
],
[
1746294119.140054,
20,
2,
10
],
[
1746294139.5737944,
20,
2,
10
],
[
1746294157.659124,
20,
2,
10
],
[
1746294177.3353057,
20,
2,
10
],
[
1746294195.019216,
20,
2,
10
],
[
1746294213.5160842,
20,
2,
10
],
[
1746294230.0132155,
20,
2,
10
],
[
1746294248.2712188,
20,
2,
10
],
[
1746294264.9794068,
20,
2,
10
],
[
1746294281.4430602,
20,
2,
10
],
[
1746294301.0075982,
20,
2,
10
],
[
1746294318.9473305,
20,
2,
10
],
[
1746294338.432713,
20,
2,
10
],
[
1746294355.278145,
20,
2,
10
],
[
1746294373.0090668,
20,
2,
10
],
[
1746294390.0000722,
20,
2,
10
],
[
1746294406.7903974,
20,
2,
10
],
[
1746294424.755863,
20,
2,
10
],
[
1746294442.784232,
20,
2,
10
],
[
1746294461.5506868,
20,
2,
10
],
[
1746294479.8847103,
20,
2,
10
],
[
1746294499.2053132,
20,
2,
10
],
[
1746294517.4002616,
20,
2,
10
],
[
1746294535.3900113,
20,
2,
10
],
[
1746294554.3751903,
20,
2,
10
],
[
1746294573.0373156,
20,
2,
10
],
[
1746294591.6008878,
20,
2,
10
],
[
1746294609.9178708,
20,
2,
10
],
[
1746294628.6520824,
20,
2,
10
],
[
1746294647.1463926,
20,
2,
10
],
[
1746294665.2763317,
20,
2,
10
],
[
1746294682.8683789,
20,
2,
10
],
[
1746294700.0495596,
20,
2,
10
],
[
1746294717.1170828,
20,
2,
10
],
[
1746294734.0382922,
20,
2,
10
],
[
1746294751.0207605,
20,
2,
10
],
[
1746294769.3075118,
20,
2,
10
],
[
1746294787.7605617,
20,
2,
10
],
[
1746294806.5135288,
20,
2,
10
],
[
1746294825.1329484,
20,
2,
10
],
[
1746294843.6323726,
20,
2,
10
],
[
1746294861.6869564,
20,
2,
10
],
[
1746294879.9967978,
20,
2,
10
],
[
1746294898.0753112,
20,
2,
10
],
[
1746294916.1090074,
20,
2,
10
],
[
1746294934.9271665,
20,
2,
10
],
[
1746294953.2078123,
20,
2,
10
],
[
1746294972.454857,
20,
2,
10
],
[
1746294991.635904,
20,
2,
10
],
[
1746295009.800985,
20,
2,
10
],
[
1746295028.0930004,
20,
2,
10
],
[
1746295045.601417,
20,
2,
10
],
[
1746295064.786769,
20,
2,
10
],
[
1746295083.8251562,
20,
2,
10
],
[
1746295101.9648387,
20,
2,
10
],
[
1746295120.600013,
20,
2,
10
],
[
1746295139.8605213,
20,
2,
10
],
[
1746295158.1961048,
20,
2,
10
],
[
1746295177.5900524,
20,
2,
10
],
[
1746295195.9878058,
20,
2,
10
],
[
1746295215.0480368,
20,
2,
10
],
[
1746295233.059488,
20,
2,
10
],
[
1746295252.062143,
20,
2,
10
],
[
1746295270.465948,
20,
2,
10
],
[
1746295289.3951643,
20,
2,
10
],
[
1746295307.3001585,
20,
2,
10
],
[
1746295325.6193607,
20,
2,
10
],
[
1746295344.315523,
20,
2,
10
],
[
1746295361.65033,
20,
2,
10
],
[
1746295379.0068083,
20,
2,
10
],
[
1746295397.1428025,
20,
2,
10
],
[
1746295414.267818,
20,
2,
10
],
[
1746295431.2707195,
20,
2,
10
],
[
1746295449.5320253,
20,
2,
10
],
[
1746295467.1334379,
20,
2,
10
],
[
1746295485.4059305,
20,
2,
10
],
[
1746295504.9086761,
20,
2,
10
],
[
1746295523.4960935,
20,
2,
10
],
[
1746295541.3017828,
20,
2,
10
],
[
1746295559.7633154,
20,
2,
10
],
[
1746295577.8255165,
20,
2,
10
],
[
1746295596.8466702,
20,
1,
5
],
[
1746295610.4500113,
20,
1,
5
],
[
1746295625.1713622,
20,
1,
5
],
[
1746295638.9724884,
20,
1,
5
],
[
1746295652.754078,
20,
1,
5
],
[
1746295667.7061164,
20,
1,
5
],
[
1746295681.5987732,
20,
1,
5
],
[
1746295696.2722743,
20,
1,
5
],
[
1746295709.7955477,
20,
1,
5
],
[
1746295723.378381,
20,
1,
5
],
[
1746295738.0532203,
20,
1,
5
],
[
1746295751.7036006,
20,
1,
5
],
[
1746295766.880263,
20,
1,
5
],
[
1746295780.128084,
20,
1,
5
],
[
1746295793.3320165,
20,
1,
5
],
[
1746295807.282441,
20,
1,
5
],
[
1746295820.396237,
20,
1,
5
],
[
1746295833.9535275,
20,
1,
5
],
[
1746295848.9742925,
20,
1,
5
],
[
1746295862.5758088,
20,
1,
5
],
[
1746295876.4421463,
20,
1,
5
],
[
1746295891.4460514,
20,
1,
5
],
[
1746295905.2522867,
20,
1,
5
],
[
1746295919.0144446,
20,
1,
5
],
[
1746295933.8353295,
20,
1,
5
],
[
1746295947.4964943,
20,
1,
5
],
[
1746295961.4356587,
20,
1,
5
],
[
1746295976.3870187,
20,
1,
5
],
[
1746295990.3486657,
20,
1,
5
],
[
1746296004.369212,
20,
1,
5
],
[
1746296018.3394248,
20,
1,
5
],
[
1746296034.1264908,
20,
1,
5
],
[
1746296047.9583936,
20,
1,
5
],
[
1746296061.7803202,
20,
1,
5
],
[
1746296076.756292,
20,
1,
5
],
[
1746296090.6574008,
20,
1,
5
],
[
1746296104.379282,
20,
1,
5
],
[
1746296118.2018707,
20,
1,
5
],
[
1746296131.9638891,
20,
1,
5
],
[
1746296145.1912782,
20,
1,
5
],
[
1746296157.946525,
20,
1,
5
],
[
1746296171.0535262,
20,
1,
5
],
[
1746296186.5625553,
20,
1,
5
],
[
1746296219.0428329,
20,
0,
0
],
[
1746297084.0441654,
20,
0,
0
],
[
1746297084.507904,
20,
0,
0
],
[
1746297086.7056088,
20,
1,
5
],
[
1746297095.357771,
20,
1,
5
],
[
1746297768.7915983,
20,
1,
5
],
[
1746297769.5307856,
20,
1,
5
],
[
1746297771.502422,
20,
2,
10
],
[
1746297785.1860213,
20,
2,
10
],
[
1746298392.6497264,
20,
2,
10
],
[
1746298393.2926831,
20,
2,
10
],
[
1746298395.5092528,
20,
3,
15
],
[
1746298400.7483075,
20,
3,
15
],
[
1746298415.6850266,
20,
2,
10
],
[
1746298415.8188279,
20,
2,
10
],
[
1746299417.5302546,
20,
2,
10
],
[
1746299418.3288686,
20,
2,
10
],
[
1746299420.4427342,
20,
3,
15
],
[
1746299438.106304,
20,
3,
15
],
[
1746300359.9469247,
20,
3,
15
],
[
1746300360.5529516,
20,
3,
15
],
[
1746300363.776815,
20,
4,
20
],
[
1746300386.4330826,
20,
4,
20
],
[
1746300973.6083908,
20,
4,
20
],
[
1746300974.181692,
20,
4,
20
],
[
1746300976.1466992,
20,
5,
25
],
[
1746300998.4772856,
20,
5,
25
],
[
1746301577.5585668,
20,
5,
25
],
[
1746301578.2345524,
20,
5,
25
],
[
1746301580.20294,
20,
6,
30
],
[
1746301608.879508,
20,
6,
30
],
[
1746302445.9092498,
20,
6,
30
],
[
1746302446.5814636,
20,
6,
30
],
[
1746302448.4441457,
20,
7,
35
],
[
1746302470.6080534,
20,
7,
35
],
[
1746302482.9376183,
20,
6,
30
],
[
1746302483.0603888,
20,
6,
30
],
[
1746303396.7601047,
20,
6,
30
],
[
1746303397.163535,
20,
6,
30
],
[
1746303399.1329832,
20,
7,
35
],
[
1746303431.4032936,
20,
7,
35
],
[
1746304255.3123887,
20,
7,
35
],
[
1746304256.084115,
20,
7,
35
],
[
1746304258.1958263,
20,
8,
40
],
[
1746304295.7786071,
20,
8,
40
],
[
1746305068.7077835,
20,
8,
40
],
[
1746305069.1723816,
20,
8,
40
],
[
1746305071.1671112,
20,
9,
45
],
[
1746305087.2201023,
20,
9,
45
],
[
1746305118.4002318,
20,
8,
40
],
[
1746305125.234865,
20,
7,
35
],
[
1746305134.7382207,
20,
6,
30
],
[
1746305134.8428621,
20,
6,
30
],
[
1746306092.524104,
20,
6,
30
],
[
1746306093.2052078,
20,
6,
30
],
[
1746306095.108946,
20,
7,
35
],
[
1746306110.7284746,
20,
7,
35
],
[
1746306142.5698175,
20,
6,
30
],
[
1746306142.6910148,
20,
6,
30
],
[
1746306754.3337882,
20,
6,
30
],
[
1746306754.8766682,
20,
6,
30
],
[
1746306756.3683853,
20,
7,
35
],
[
1746306772.0562112,
20,
7,
35
],
[
1746306804.139207,
20,
6,
30
],
[
1746306804.4658144,
20,
6,
30
],
[
1746307690.2609084,
20,
6,
30
],
[
1746307690.813588,
20,
6,
30
],
[
1746307692.5809197,
20,
7,
35
],
[
1746307708.2156258,
20,
7,
35
],
[
1746307743.0569346,
20,
6,
30
],
[
1746307743.1582646,
20,
6,
30
],
[
1746308635.4800751,
20,
6,
30
],
[
1746308636.4165144,
20,
6,
30
],
[
1746308638.6097019,
20,
7,
35
],
[
1746308654.654703,
20,
7,
35
],
[
1746308683.6414328,
20,
6,
30
],
[
1746308692.3349319,
20,
5,
25
],
[
1746308703.2199194,
20,
4,
20
],
[
1746308703.3996944,
20,
4,
20
],
[
1746309667.6802928,
20,
4,
20
],
[
1746309668.426465,
20,
4,
20
],
[
1746309670.5524366,
20,
5,
25
],
[
1746309700.8499207,
20,
4,
20
],
[
1746310603.630843,
20,
4,
20
],
[
1746310604.3618104,
20,
4,
20
],
[
1746310606.4516137,
20,
5,
25
],
[
1746310622.3357778,
20,
5,
25
],
[
1746310655.9551623,
20,
4,
20
],
[
1746310656.1120157,
20,
4,
20
],
[
1746311664.9356992,
20,
4,
20
],
[
1746311665.5579655,
20,
4,
20
],
[
1746311667.4570088,
20,
5,
25
],
[
1746311695.347851,
20,
5,
25
],
[
1746312561.6686618,
20,
5,
25
],
[
1746312562.343477,
20,
5,
25
],
[
1746312564.4705298,
20,
6,
30
],
[
1746312584.3125875,
20,
6,
30
],
[
1746312597.5361152,
20,
5,
25
],
[
1746312597.8840566,
20,
5,
25
],
[
1746313573.1005466,
20,
5,
25
],
[
1746313573.873674,
20,
5,
25
],
[
1746313575.8794115,
20,
6,
30
],
[
1746313591.7212846,
20,
6,
30
],
[
1746313623.861109,
20,
5,
25
],
[
1746313623.978153,
20,
5,
25
],
[
1746313649.585361,
20,
5,
25
],
[
1746313682.8270378,
20,
5,
25
],
[
1746313708.4332902,
20,
5,
25
],
[
1746313719.4863904,
20,
4,
20
],
[
1746313719.8741665,
20,
4,
20
],
[
1746313747.9137795,
20,
4,
20
],
[
1746313778.258232,
20,
4,
20
],
[
1746313805.9999757,
20,
4,
20
],
[
1746313835.8517432,
20,
4,
20
],
[
1746313864.0429504,
20,
4,
20
],
[
1746313892.5480983,
20,
4,
20
],
[
1746313923.625119,
20,
4,
20
],
[
1746313953.6639156,
20,
4,
20
],
[
1746313981.7794585,
20,
4,
20
],
[
1746314010.5100963,
20,
4,
20
],
[
1746314039.1717103,
20,
4,
20
],
[
1746314067.659448,
20,
4,
20
],
[
1746314096.3139203,
20,
4,
20
],
[
1746314124.6417477,
20,
4,
20
],
[
1746314153.018116,
20,
4,
20
],
[
1746314181.5692906,
20,
4,
20
],
[
1746314210.6875346,
20,
4,
20
],
[
1746314239.7115948,
20,
3,
15
],
[
1746314264.8354275,
20,
3,
15
],
[
1746314288.8324265,
20,
3,
15
],
[
1746314312.796819,
20,
3,
15
],
[
1746314337.007367,
20,
3,
15
],
[
1746314360.7105708,
20,
3,
15
],
[
1746314384.1861806,
20,
3,
15
],
[
1746314407.9715497,
20,
3,
15
],
[
1746314431.9475064,
20,
3,
15
],
[
1746314456.2006629,
20,
3,
15
],
[
1746314480.7730875,
20,
3,
15
],
[
1746314505.149211,
20,
3,
15
],
[
1746314529.9661312,
20,
3,
15
],
[
1746314552.1721172,
20,
3,
15
],
[
1746314574.689594,
20,
3,
15
],
[
1746314598.4214911,
20,
3,
15
],
[
1746314621.858006,
20,
3,
15
],
[
1746314645.9748354,
20,
3,
15
],
[
1746314669.0465894,
20,
3,
15
],
[
1746314692.948954,
20,
3,
15
],
[
1746314716.96722,
20,
3,
15
],
[
1746314742.6146061,
20,
3,
15
],
[
1746314766.700349,
20,
3,
15
],
[
1746314791.5377166,
20,
3,
15
],
[
1746314815.717478,
20,
3,
15
],
[
1746314840.47332,
20,
3,
15
],
[
1746314864.0817106,
20,
3,
15
],
[
1746314889.000848,
20,
3,
15
],
[
1746314912.7536254,
20,
3,
15
],
[
1746314936.3825054,
20,
3,
15
],
[
1746314961.0200443,
20,
3,
15
],
[
1746314986.5279214,
20,
3,
15
],
[
1746315010.6307836,
20,
3,
15
],
[
1746315035.2405868,
20,
3,
15
],
[
1746315059.5820947,
20,
3,
15
],
[
1746315084.0780506,
20,
3,
15
],
[
1746315108.6259725,
20,
3,
15
],
[
1746315133.3461983,
20,
3,
15
],
[
1746315158.1279314,
20,
3,
15
],
[
1746315182.7099903,
20,
3,
15
],
[
1746315207.338235,
20,
3,
15
],
[
1746315231.9077504,
20,
3,
15
],
[
1746315255.3857605,
20,
3,
15
],
[
1746315279.8422422,
20,
3,
15
],
[
1746315304.4600463,
20,
3,
15
],
[
1746315329.4575255,
20,
3,
15
],
[
1746315354.2671335,
20,
3,
15
],
[
1746315378.2980309,
20,
3,
15
],
[
1746315403.0032177,
20,
3,
15
],
[
1746315426.9933558,
20,
3,
15
],
[
1746315450.1285415,
20,
3,
15
],
[
1746315471.754319,
20,
3,
15
],
[
1746315495.407691,
20,
3,
15
],
[
1746315519.7687008,
20,
3,
15
],
[
1746315542.554336,
20,
3,
15
],
[
1746315566.558439,
20,
3,
15
],
[
1746315589.857792,
20,
3,
15
],
[
1746315613.7441838,
20,
3,
15
],
[
1746315635.4298394,
20,
3,
15
],
[
1746315660.912952,
20,
3,
15
],
[
1746315684.2640858,
20,
3,
15
],
[
1746315708.8752236,
20,
3,
15
],
[
1746315732.083669,
20,
3,
15
],
[
1746315756.8964489,
20,
3,
15
],
[
1746315779.7280068,
20,
3,
15
],
[
1746315804.4258406,
20,
3,
15
],
[
1746315827.2200358,
20,
3,
15
],
[
1746315850.0245512,
20,
3,
15
],
[
1746315875.6542494,
20,
3,
15
],
[
1746315899.2405245,
20,
3,
15
],
[
1746315922.8219755,
20,
3,
15
],
[
1746315948.5560193,
20,
3,
15
],
[
1746315972.3364666,
20,
3,
15
],
[
1746315996.0102937,
20,
3,
15
],
[
1746316021.1371164,
20,
3,
15
],
[
1746316045.07084,
20,
3,
15
],
[
1746316069.2369492,
20,
3,
15
],
[
1746316093.01947,
20,
3,
15
],
[
1746316116.9160156,
20,
3,
15
],
[
1746316142.731301,
20,
3,
15
],
[
1746316167.1990645,
20,
3,
15
],
[
1746316191.1603158,
20,
3,
15
],
[
1746316215.337595,
20,
3,
15
],
[
1746316239.4223475,
20,
3,
15
],
[
1746316265.5863283,
20,
3,
15
],
[
1746316290.0261378,
20,
3,
15
],
[
1746316312.763871,
20,
3,
15
],
[
1746316335.4879055,
20,
3,
15
],
[
1746316359.38655,
20,
3,
15
],
[
1746316382.9922068,
20,
3,
15
],
[
1746316406.5254655,
20,
3,
15
],
[
1746316430.0685215,
20,
3,
15
],
[
1746316454.5056562,
20,
3,
15
],
[
1746316481.1400702,
20,
3,
15
],
[
1746316505.9935546,
20,
3,
15
],
[
1746316530.253775,
20,
3,
15
],
[
1746316554.5525224,
20,
3,
15
],
[
1746316578.956926,
20,
3,
15
],
[
1746316603.003581,
20,
3,
15
],
[
1746316626.9074836,
20,
3,
15
],
[
1746316652.067163,
20,
3,
15
],
[
1746316675.9720693,
20,
3,
15
],
[
1746316700.4859893,
20,
3,
15
],
[
1746316724.7735565,
20,
3,
15
],
[
1746316749.3089926,
20,
3,
15
],
[
1746316774.3120987,
20,
3,
15
],
[
1746316798.9415143,
20,
3,
15
],
[
1746316823.292921,
20,
3,
15
],
[
1746316848.0903623,
20,
3,
15
],
[
1746316872.8968246,
20,
3,
15
],
[
1746316895.895912,
20,
3,
15
],
[
1746316922.8966932,
20,
3,
15
],
[
1746316947.191548,
20,
3,
15
],
[
1746316972.032077,
20,
3,
15
],
[
1746316996.8271325,
20,
3,
15
],
[
1746317020.285063,
20,
3,
15
],
[
1746317044.4510832,
20,
3,
15
],
[
1746317068.7232208,
20,
3,
15
],
[
1746317092.1679378,
20,
3,
15
],
[
1746317116.5084429,
20,
3,
15
],
[
1746317141.283076,
20,
3,
15
],
[
1746317164.8578732,
20,
3,
15
],
[
1746317189.4474254,
20,
3,
15
],
[
1746317214.144422,
20,
3,
15
],
[
1746317238.4121587,
20,
3,
15
],
[
1746317263.8394973,
20,
2,
10
],
[
1746317283.3443935,
20,
2,
10
],
[
1746317302.2544022,
20,
2,
10
],
[
1746317320.895716,
20,
2,
10
],
[
1746317340.2061203,
20,
2,
10
],
[
1746317359.2063093,
20,
2,
10
],
[
1746317378.5376003,
20,
2,
10
],
[
1746317398.077336,
20,
2,
10
],
[
1746317418.3944037,
20,
2,
10
],
[
1746317437.5098717,
20,
2,
10
],
[
1746317455.0362203,
20,
2,
10
],
[
1746317472.0223854,
20,
2,
10
],
[
1746317490.212739,
20,
2,
10
],
[
1746317508.911996,
20,
2,
10
],
[
1746317528.0375102,
20,
2,
10
],
[
1746317547.2970638,
20,
2,
10
],
[
1746317567.1791792,
20,
2,
10
],
[
1746317587.1709478,
20,
2,
10
],
[
1746317607.2473476,
20,
2,
10
],
[
1746317626.4920905,
20,
2,
10
],
[
1746317646.5609875,
20,
2,
10
],
[
1746317666.5982418,
20,
2,
10
],
[
1746317685.6904597,
20,
2,
10
],
[
1746317705.872118,
20,
2,
10
],
[
1746317725.8713865,
20,
2,
10
],
[
1746317744.8942623,
20,
2,
10
],
[
1746317764.913779,
20,
2,
10
],
[
1746317785.1650474,
20,
2,
10
],
[
1746317804.395117,
20,
2,
10
],
[
1746317824.6972132,
20,
2,
10
],
[
1746317844.0001469,
20,
2,
10
],
[
1746317864.5718246,
20,
1,
5
],
[
1746317878.8316517,
20,
1,
5
],
[
1746317894.0251157,
20,
1,
5
],
[
1746317909.384601,
20,
1,
5
],
[
1746317923.855209,
20,
1,
5
],
[
1746317939.215255,
20,
1,
5
],
[
1746317954.5286849,
20,
1,
5
],
[
1746317968.7502377,
20,
1,
5
],
[
1746317984.083529,
20,
1,
5
],
[
1746317999.5042257,
20,
1,
5
],
[
1746318013.7651432,
20,
1,
5
],
[
1746318029.2514744,
20,
1,
5
],
[
1746318043.943997,
20,
1,
5
],
[
1746318059.72762,
20,
1,
5
],
[
1746318074.0937269,
20,
1,
5
],
[
1746318089.5883808,
20,
1,
5
],
[
1746318105.0792522,
20,
1,
5
],
[
1746318119.442689,
20,
1,
5
],
[
1746318135.3010206,
20,
1,
5
],
[
1746318149.820735,
20,
1,
5
],
[
1746318165.5006638,
20,
1,
5
],
[
1746318179.9356196,
20,
1,
5
],
[
1746318195.507021,
20,
1,
5
],
[
1746318209.9193118,
20,
1,
5
],
[
1746318225.6288967,
20,
1,
5
],
[
1746318240.2035916,
20,
1,
5
],
[
1746318256.2579563,
20,
1,
5
],
[
1746318270.846345,
20,
1,
5
],
[
1746318286.3953316,
20,
1,
5
],
[
1746318300.526128,
20,
1,
5
],
[
1746318316.0992186,
20,
1,
5
],
[
1746318330.4254086,
20,
1,
5
],
[
1746318346.1931584,
20,
1,
5
],
[
1746318360.50772,
20,
1,
5
],
[
1746318375.9516525,
20,
1,
5
],
[
1746318390.0273044,
20,
1,
5
],
[
1746318404.0529125,
20,
1,
5
],
[
1746318419.6367283,
20,
1,
5
],
[
1746318434.0195367,
20,
1,
5
],
[
1746318449.7718732,
20,
1,
5
],
[
1746318464.3215916,
20,
1,
5
],
[
1746318480.6302643,
20,
1,
5
],
[
1746318495.2305512,
20,
1,
5
],
[
1746318509.5839434,
20,
1,
5
],
[
1746318525.5312712,
20,
1,
5
],
[
1746318539.9660895,
20,
1,
5
],
[
1746318555.786359,
20,
1,
5
],
[
1746318570.5334995,
20,
1,
5
],
[
1746318585.0234764,
20,
1,
5
],
[
1746318600.233115,
20,
1,
5
],
[
1746318613.8113284,
20,
1,
5
],
[
1746318627.7404752,
20,
1,
5
],
[
1746318642.693897,
20,
1,
5
],
[
1746318656.9942338,
20,
1,
5
],
[
1746318672.6689956,
20,
1,
5
],
[
1746318687.2550266,
20,
1,
5
],
[
1746318701.6212108,
20,
1,
5
],
[
1746318715.8188226,
20,
1,
5
],
[
1746318731.2300515,
20,
1,
5
],
[
1746318745.3741548,
20,
1,
5
],
[
1746318759.8749435,
20,
1,
5
],
[
1746318775.983742,
20,
1,
5
],
[
1746318790.2416468,
20,
1,
5
],
[
1746318804.4399064,
20,
1,
5
],
[
1746318820.0613203,
20,
1,
5
],
[
1746318834.4749212,
20,
1,
5
],
[
1746318848.8443575,
20,
1,
5
],
[
1746318864.7051876,
20,
1,
5
],
[
1746318879.0323153,
20,
1,
5
],
[
1746318893.5860338,
20,
1,
5
],
[
1746318907.9924347,
20,
1,
5
],
[
1746318924.1498253,
20,
1,
5
],
[
1746318938.8316698,
20,
1,
5
],
[
1746318953.496549,
20,
1,
5
],
[
1746318968.3038883,
20,
1,
5
],
[
1746318984.5964804,
20,
1,
5
],
[
1746318999.3071647,
20,
1,
5
],
[
1746319013.7382784,
20,
1,
5
],
[
1746319028.440858,
20,
1,
5
],
[
1746319043.4418852,
20,
1,
5
],
[
1746319059.6499324,
20,
1,
5
],
[
1746319074.4008787,
20,
1,
5
],
[
1746319089.2814944,
20,
1,
5
],
[
1746319104.4494023,
20,
1,
5
],
[
1746319120.0919945,
20,
1,
5
],
[
1746319134.0668755,
20,
1,
5
],
[
1746319147.8670733,
20,
1,
5
],
[
1746319162.134512,
20,
1,
5
],
[
1746319176.3992805,
20,
1,
5
],
[
1746319190.7868927,
20,
1,
5
],
[
1746319206.402901,
20,
1,
5
],
[
1746319220.3225477,
20,
1,
5
],
[
1746319234.5424294,
20,
1,
5
],
[
1746319248.9658132,
20,
1,
5
],
[
1746319263.7420404,
20,
1,
5
],
[
1746319278.6453123,
20,
1,
5
],
[
1746319295.0585399,
20,
1,
5
],
[
1746319310.1124556,
20,
1,
5
],
[
1746319324.8292139,
20,
1,
5
],
[
1746319339.4947946,
20,
1,
5
],
[
1746319354.1394563,
20,
1,
5
],
[
1746319368.7595763,
20,
1,
5
],
[
1746319383.4795783,
20,
1,
5
],
[
1746319400.3085175,
20,
1,
5
],
[
1746319415.0081713,
20,
1,
5
],
[
1746319429.74325,
20,
1,
5
],
[
1746319444.4240053,
20,
1,
5
],
[
1746319458.9970918,
20,
1,
5
],
[
1746319473.6692898,
20,
1,
5
],
[
1746319488.3479981,
20,
1,
5
],
[
1746319503.3940384,
20,
1,
5
],
[
1746319518.5589547,
20,
1,
5
],
[
1746319533.660174,
20,
1,
5
],
[
1746319550.2509692,
20,
1,
5
],
[
1746319564.9740462,
20,
1,
5
],
[
1746319579.719458,
20,
1,
5
],
[
1746319594.526834,
20,
1,
5
],
[
1746319609.9082005,
20,
1,
5
],
[
1746319624.9407916,
20,
1,
5
],
[
1746319639.8137364,
20,
1,
5
],
[
1746319654.5940216,
20,
1,
5
],
[
1746319669.5566597,
20,
1,
5
],
[
1746319684.444489,
20,
1,
5
],
[
1746319699.233763,
20,
1,
5
],
[
1746319713.9793172,
20,
1,
5
],
[
1746319730.6010308,
20,
1,
5
],
[
1746319745.771838,
20,
1,
5
],
[
1746319760.5612776,
20,
1,
5
],
[
1746319775.2512233,
20,
1,
5
],
[
1746319789.9328244,
20,
1,
5
],
[
1746319804.7867785,
20,
1,
5
],
[
1746319819.9692926,
20,
1,
5
],
[
1746319835.0152283,
20,
1,
5
],
[
1746319849.9593337,
20,
1,
5
],
[
1746319864.8329651,
20,
1,
5
],
[
1746319879.8546932,
20,
1,
5
],
[
1746319894.9125438,
20,
1,
5
],
[
1746319909.8647192,
20,
1,
5
],
[
1746319924.9442902,
20,
1,
5
],
[
1746319939.808422,
20,
1,
5
],
[
1746319954.7145514,
20,
1,
5
],
[
1746319969.8628364,
20,
1,
5
],
[
1746319984.8677185,
20,
1,
5
],
[
1746319999.9225016,
20,
1,
5
],
[
1746320015.048875,
20,
1,
5
],
[
1746320030.0519135,
20,
1,
5
],
[
1746320045.2182462,
20,
1,
5
],
[
1746320059.9517097,
20,
1,
5
],
[
1746320074.2703378,
20,
1,
5
],
[
1746320088.4707637,
20,
1,
5
],
[
1746320102.516932,
20,
1,
5
],
[
1746320117.0949976,
20,
1,
5
],
[
1746320131.4115574,
20,
1,
5
],
[
1746320145.037912,
20,
1,
5
],
[
1746320157.9611666,
20,
1,
5
],
[
1746320171.1050599,
20,
1,
5
],
[
1746320184.196164,
20,
1,
5
],
[
1746320197.4465933,
20,
1,
5
],
[
1746320211.7531657,
20,
1,
5
],
[
1746320226.544693,
20,
1,
5
],
[
1746320241.8235605,
20,
1,
5
],
[
1746320257.0258138,
20,
1,
5
],
[
1746320277.98061,
20,
1,
5
],
[
1746320290.7033021,
20,
0,
0
],
[
1746320309.2302587,
20,
0,
0
],
[
1746321250.79003,
20,
0,
0
],
[
1746321251.4397175,
20,
0,
0
],
[
1746321253.8270538,
20,
1,
5
],
[
1746321263.1751812,
20,
1,
5
],
[
1746322084.9956748,
20,
1,
5
],
[
1746322085.835289,
20,
1,
5
],
[
1746322087.912719,
20,
2,
10
],
[
1746322101.9526026,
20,
2,
10
],
[
1746322930.9458826,
20,
2,
10
],
[
1746322931.642318,
20,
2,
10
],
[
1746322933.5700717,
20,
3,
15
],
[
1746322942.3944893,
20,
3,
15
],
[
1746322959.891841,
20,
2,
10
],
[
1746322960.0146115,
20,
2,
10
],
[
1746324028.5231898,
20,
2,
10
],
[
1746324029.4460306,
20,
2,
10
],
[
1746324031.6235452,
20,
3,
15
],
[
1746324037.389475,
20,
3,
15
],
[
1746324054.6244345,
20,
2,
10
],
[
1746324054.805326,
20,
2,
10
],
[
1746325274.7746267,
20,
2,
10
],
[
1746325275.4355586,
20,
2,
10
],
[
1746325277.5509365,
20,
3,
15
],
[
1746325285.1770852,
20,
3,
15
],
[
1746325299.9548864,
20,
2,
10
],
[
1746325300.2000082,
20,
2,
10
],
[
1746326572.0985823,
20,
2,
10
],
[
1746326572.8672028,
20,
2,
10
],
[
1746326574.9217975,
20,
3,
15
],
[
1746326580.6757598,
20,
3,
15
],
[
1746326597.0964937,
20,
2,
10
],
[
1746326597.2264001,
20,
2,
10
],
[
1746327801.686193,
20,
2,
10
],
[
1746327802.4413745,
20,
2,
10
],
[
1746327804.5927503,
20,
3,
15
],
[
1746327812.253707,
20,
3,
15
],
[
1746327827.392045,
20,
2,
10
],
[
1746327827.8316574,
20,
2,
10
],
[
1746328782.8349075,
20,
2,
10
],
[
1746328783.6562114,
20,
2,
10
],
[
1746328785.7022696,
20,
3,
15
],
[
1746328801.694622,
20,
3,
15
],
[
1746328824.6407075,
20,
2,
10
],
[
1746328824.9044802,
20,
2,
10
],
[
1746329915.076239,
20,
2,
10
],
[
1746329915.8265665,
20,
2,
10
],
[
1746329917.8283253,
20,
3,
15
],
[
1746329924.4152725,
20,
3,
15
],
[
1746329940.2074392,
20,
2,
10
],
[
1746329940.3815362,
20,
2,
10
],
[
1746331266.392304,
20,
2,
10
],
[
1746331267.394344,
20,
2,
10
],
[
1746331269.5508368,
20,
3,
15
],
[
1746331288.8757968,
20,
3,
15
],
[
1746332234.4977524,
20,
3,
15
],
[
1746332235.3018942,
20,
3,
15
],
[
1746332237.491154,
20,
4,
20
],
[
1746332248.2684915,
20,
4,
20
],
[
1746332262.9394639,
20,
3,
15
],
[
1746332263.0874493,
20,
3,
15
],
[
1746333245.245485,
20,
3,
15
],
[
1746333245.9767532,
20,
3,
15
],
[
1746333247.943151,
20,
4,
20
],
[
1746333259.4724846,
20,
4,
20
],
[
1746333273.331737,
20,
3,
15
],
[
1746333273.4757361,
20,
3,
15
],
[
1746334307.031412,
20,
3,
15
],
[
1746334307.701867,
20,
3,
15
],
[
1746334309.584032,
20,
4,
20
],
[
1746334333.0456,
20,
4,
20
],
[
1746335364.5944898,
20,
4,
20
],
[
1746335365.3315215,
20,
4,
20
],
[
1746335367.5002491,
20,
5,
25
],
[
1746335383.368092,
20,
5,
25
],
[
1746335400.6173878,
20,
4,
20
],
[
1746335415.4594839,
20,
3,
15
],
[
1746335415.6204226,
20,
3,
15
],
[
1746336530.915619,
20,
3,
15
],
[
1746336531.6029801,
20,
3,
15
],
[
1746336533.5700018,
20,
4,
20
],
[
1746336557.8064954,
20,
4,
20
],
[
1746337404.937129,
20,
4,
20
],
[
1746337405.6622782,
20,
4,
20
],
[
1746337407.635612,
20,
5,
25
],
[
1746337423.4809835,
20,
5,
25
],
[
1746337455.814021,
20,
4,
20
],
[
1746337455.9595492,
20,
4,
20
],
[
1746338470.5487564,
20,
4,
20
],
[
1746338471.547707,
20,
4,
20
],
[
1746338473.6663835,
20,
5,
25
],
[
1746338503.1050959,
20,
5,
25
],
[
1746339420.2724829,
20,
5,
25
],
[
1746339420.9743743,
20,
5,
25
],
[
1746339454.8961143,
20,
6,
30
],
[
1746339482.0552998,
20,
6,
30
],
[
1746339493.2014742,
20,
5,
25
],
[
1746339493.4679282,
20,
5,
25
],
[
1746340407.1280127,
20,
5,
25
],
[
1746340407.8103912,
20,
5,
25
],
[
1746340409.7435248,
20,
6,
30
],
[
1746340443.8893356,
20,
6,
30
],
[
1746341328.085516,
20,
6,
30
],
[
1746341328.8195865,
20,
6,
30
],
[
1746341330.7568166,
20,
7,
35
],
[
1746341346.6321564,
20,
7,
35
],
[
1746341374.8771005,
20,
6,
30
],
[
1746341391.0956848,
20,
5,
25
],
[
1746341391.3876743,
20,
5,
25
],
[
1746341422.2631788,
20,
5,
25
],
[
1746341457.4029682,
20,
5,
25
],
[
1746341492.8498297,
20,
5,
25
],
[
1746341527.2900722,
20,
5,
25
],
[
1746341562.6999094,
20,
5,
25
],
[
1746341596.7437246,
20,
5,
25
],
[
1746341632.0934467,
20,
5,
25
],
[
1746341666.1035035,
20,
5,
25
],
[
1746341700.6376793,
20,
5,
25
],
[
1746341735.296202,
20,
5,
25
],
[
1746341766.666197,
20,
5,
25
],
[
1746341797.6136093,
20,
5,
25
],
[
1746341832.1185982,
20,
5,
25
],
[
1746341866.312646,
20,
5,
25
],
[
1746341898.3498023,
20,
5,
25
],
[
1746341927.9771407,
20,
5,
25
],
[
1746341961.2091427,
20,
5,
25
],
[
1746341995.7624807,
20,
5,
25
],
[
1746342029.02411,
20,
5,
25
],
[
1746342063.7519004,
20,
5,
25
],
[
1746342098.2481685,
20,
5,
25
],
[
1746342133.6093068,
20,
5,
25
],
[
1746342167.887161,
20,
5,
25
],
[
1746342202.9420502,
20,
5,
25
],
[
1746342237.5244148,
20,
5,
25
],
[
1746342274.335651,
20,
5,
25
],
[
1746342309.1126487,
20,
5,
25
],
[
1746342343.7900407,
20,
5,
25
],
[
1746342378.0433245,
20,
5,
25
],
[
1746342413.446979,
20,
5,
25
],
[
1746342448.1586852,
20,
5,
25
],
[
1746342483.5534687,
20,
5,
25
],
[
1746342516.7506826,
20,
5,
25
],
[
1746342549.9604664,
20,
5,
25
],
[
1746342583.3746066,
20,
5,
25
],
[
1746342618.4207551,
20,
5,
25
],
[
1746342652.5697231,
20,
5,
25
],
[
1746342688.0135632,
20,
5,
25
],
[
1746342724.6930583,
20,
5,
25
],
[
1746342758.7573578,
20,
5,
25
],
[
1746342794.2490852,
20,
5,
25
],
[
1746342828.584321,
20,
5,
25
],
[
1746342865.5640004,
20,
5,
25
],
[
1746342899.7566555,
20,
5,
25
],
[
1746342933.457863,
20,
5,
25
],
[
1746342965.4147198,
20,
5,
25
],
[
1746342998.506045,
20,
5,
25
],
[
1746343033.4883654,
20,
5,
25
],
[
1746343068.6587641,
20,
5,
25
],
[
1746343103.3052936,
20,
5,
25
],
[
1746343139.7673893,
20,
5,
25
],
[
1746343160.5091584,
20,
5,
25
],
[
1746343191.279614,
20,
4,
20
],
[
1746343191.6346624,
20,
4,
20
],
[
1746343220.4956725,
20,
4,
20
],
[
1746343251.479997,
20,
4,
20
],
[
1746343282.763575,
20,
4,
20
],
[
1746343311.7881393,
20,
4,
20
],
[
1746343342.754567,
20,
4,
20
],
[
1746343373.9472063,
20,
4,
20
],
[
1746343403.0051177,
20,
4,
20
],
[
1746343434.1782734,
20,
4,
20
],
[
1746343463.3124137,
20,
4,
20
],
[
1746343494.913582,
20,
4,
20
],
[
1746343523.9251719,
20,
4,
20
],
[
1746343554.7672894,
20,
4,
20
],
[
1746343584.5400658,
20,
4,
20
],
[
1746343614.893867,
20,
4,
20
],
[
1746343644.1094594,
20,
4,
20
],
[
1746343675.0022588,
20,
4,
20
],
[
1746343704.2760324,
20,
4,
20
],
[
1746343735.4544501,
20,
4,
20
],
[
1746343764.9806187,
20,
3,
15
],
[
1746343790.2378845,
20,
3,
15
],
[
1746343817.1805632,
20,
3,
15
],
[
1746343841.1088533,
20,
3,
15
],
[
1746343866.2813277,
20,
3,
15
],
[
1746343891.2150052,
20,
3,
15
],
[
1746343915.4045627,
20,
3,
15
],
[
1746343938.9387958,
20,
3,
15
],
[
1746343963.2800887,
20,
3,
15
],
[
1746343987.3488142,
20,
3,
15
],
[
1746344012.0495126,
20,
3,
15
],
[
1746344035.9332175,
20,
3,
15
],
[
1746344059.5796046,
20,
3,
15
],
[
1746344081.9808536,
20,
3,
15
],
[
1746344104.7100477,
20,
3,
15
],
[
1746344128.4140997,
20,
3,
15
],
[
1746344152.1145134,
20,
3,
15
],
[
1746344176.1885986,
20,
3,
15
],
[
1746344200.4089282,
20,
3,
15
],
[
1746344225.3945112,
20,
3,
15
],
[
1746344250.1351287,
20,
3,
15
],
[
1746344275.0765266,
20,
3,
15
],
[
1746344300.5169299,
20,
3,
15
],
[
1746344325.7633405,
20,
3,
15
],
[
1746344350.6702607,
20,
3,
15
],
[
1746344376.0391655,
20,
3,
15
],
[
1746344401.032758,
20,
3,
15
],
[
1746344425.9477005,
20,
3,
15
],
[
1746344450.9383214,
20,
3,
15
],
[
1746344472.570987,
20,
3,
15
],
[
1746344495.5073607,
20,
3,
15
],
[
1746344520.214214,
20,
3,
15
],
[
1746344544.4666579,
20,
3,
15
],
[
1746344569.3013384,
20,
3,
15
],
[
1746344594.213037,
20,
3,
15
],
[
1746344618.0748136,
20,
3,
15
],
[
1746344644.039178,
20,
3,
15
],
[
1746344668.7623072,
20,
3,
15
],
[
1746344693.2217438,
20,
3,
15
],
[
1746344718.973963,
20,
3,
15
],
[
1746344744.5468802,
20,
3,
15
],
[
1746344770.388459,
20,
3,
15
],
[
1746344794.9902866,
20,
3,
15
],
[
1746344819.7532556,
20,
3,
15
],
[
1746344842.8645377,
20,
3,
15
],
[
1746344865.717679,
20,
3,
15
],
[
1746344889.684181,
20,
3,
15
],
[
1746344913.7699301,
20,
3,
15
],
[
1746344937.9563553,
20,
3,
15
],
[
1746344963.2687418,
20,
2,
10
],
[
1746344982.296718,
20,
2,
10
],
[
1746345003.4308426,
20,
2,
10
],
[
1746345023.4253078,
20,
2,
10
],
[
1746345043.4902697,
20,
2,
10
],
[
1746345063.4822626,
20,
2,
10
],
[
1746345085.014438,
20,
2,
10
],
[
1746345104.8508108,
20,
2,
10
],
[
1746345124.4803169,
20,
2,
10
],
[
1746345144.762245,
20,
2,
10
],
[
1746345165.7223868,
20,
2,
10
],
[
1746345186.2771275,
20,
2,
10
],
[
1746345206.4417095,
20,
2,
10
],
[
1746345227.5105734,
20,
2,
10
],
[
1746345247.3503635,
20,
2,
10
],
[
1746345267.0621789,
20,
2,
10
],
[
1746345286.6460035,
20,
2,
10
],
[
1746345306.8555136,
20,
2,
10
],
[
1746345326.706417,
20,
2,
10
],
[
1746345346.8784153,
20,
2,
10
],
[
1746345367.2084098,
20,
2,
10
],
[
1746345388.076938,
20,
2,
10
],
[
1746345408.6053047,
20,
2,
10
],
[
1746345428.9943378,
20,
2,
10
],
[
1746345449.4830575,
20,
2,
10
],
[
1746345469.6899028,
20,
2,
10
],
[
1746345489.7818263,
20,
2,
10
],
[
1746345510.1079237,
20,
2,
10
],
[
1746345530.4496753,
20,
2,
10
],
[
1746345550.625332,
20,
2,
10
],
[
1746345571.0775998,
20,
2,
10
],
[
1746345591.242744,
20,
2,
10
],
[
1746345611.6784115,
20,
2,
10
],
[
1746345631.8026953,
20,
2,
10
],
[
1746345651.800514,
20,
2,
10
],
[
1746345671.8502576,
20,
2,
10
],
[
1746345690.2732117,
20,
2,
10
],
[
1746345710.2505045,
20,
2,
10
],
[
1746345730.7867408,
20,
2,
10
],
[
1746345750.8469594,
20,
2,
10
],
[
1746345770.970741,
20,
2,
10
],
[
1746345791.1868958,
20,
2,
10
],
[
1746345810.1811728,
20,
2,
10
],
[
1746345830.9247437,
20,
2,
10
],
[
1746345851.567091,
20,
2,
10
],
[
1746345872.106901,
20,
2,
10
],
[
1746345892.8688247,
20,
2,
10
],
[
1746345912.1062727,
20,
2,
10
],
[
1746345932.5487714,
20,
2,
10
],
[
1746345953.4658115,
20,
2,
10
],
[
1746345973.8897188,
20,
2,
10
],
[
1746345992.60926,
20,
2,
10
],
[
1746346013.2671742,
20,
2,
10
],
[
1746346034.2035236,
20,
2,
10
],
[
1746346054.8954747,
20,
2,
10
],
[
1746346073.5740657,
20,
2,
10
],
[
1746346094.0044854,
20,
2,
10
],
[
1746346114.3893712,
20,
2,
10
],
[
1746346133.5087948,
20,
2,
10
],
[
1746346154.3409026,
20,
2,
10
],
[
1746346175.3728676,
20,
1,
5
],
[
1746346190.3994217,
20,
1,
5
],
[
1746346205.3360677,
20,
1,
5
],
[
1746346220.4402754,
20,
1,
5
],
[
1746346235.4133565,
20,
1,
5
],
[
1746346250.4984527,
20,
1,
5
],
[
1746346265.7059002,
20,
1,
5
],
[
1746346280.8661005,
20,
1,
5
],
[
1746346296.1936655,
20,
1,
5
],
[
1746346310.6246781,
20,
1,
5
],
[
1746346325.07036,
20,
1,
5
],
[
1746346341.0625546,
20,
1,
5
],
[
1746346355.0661561,
20,
1,
5
],
[
1746346368.8672576,
20,
1,
5
],
[
1746346382.8066454,
20,
1,
5
],
[
1746346396.95152,
20,
1,
5
],
[
1746346411.837975,
20,
1,
5
],
[
1746346426.7440765,
20,
1,
5
],
[
1746346441.5483282,
20,
1,
5
],
[
1746346456.5360126,
20,
1,
5
],
[
1746346471.4707415,
20,
1,
5
],
[
1746346486.213886,
20,
1,
5
],
[
1746346501.06383,
20,
1,
5
],
[
1746346516.2073026,
20,
1,
5
],
[
1746346531.7052746,
20,
1,
5
],
[
1746346547.8084683,
20,
1,
5
],
[
1746346563.496198,
20,
1,
5
],
[
1746346579.0642476,
20,
1,
5
],
[
1746346594.329293,
20,
1,
5
],
[
1746346609.8457832,
20,
1,
5
],
[
1746346625.4474752,
20,
1,
5
],
[
1746346641.1171732,
20,
1,
5
],
[
1746346658.410369,
20,
1,
5
],
[
1746346673.9300451,
20,
1,
5
],
[
1746346689.388097,
20,
1,
5
],
[
1746346704.526724,
20,
1,
5
],
[
1746346719.6067321,
20,
1,
5
],
[
1746346734.7918441,
20,
1,
5
],
[
1746346749.837193,
20,
1,
5
],
[
1746346765.5108464,
20,
1,
5
],
[
1746346781.1238663,
20,
1,
5
],
[
1746346796.5830746,
20,
1,
5
],
[
1746346811.9030857,
20,
1,
5
],
[
1746346827.1371167,
20,
1,
5
],
[
1746346842.409201,
20,
1,
5
],
[
1746346857.483023,
20,
1,
5
],
[
1746346872.6014142,
20,
1,
5
],
[
1746346887.8184118,
20,
1,
5
],
[
1746346902.8199735,
20,
1,
5
],
[
1746346917.6176007,
20,
1,
5
],
[
1746346932.3561695,
20,
1,
5
],
[
1746346947.5725276,
20,
1,
5
],
[
1746346962.8690536,
20,
1,
5
],
[
1746346978.632735,
20,
1,
5
],
[
1746346994.078676,
20,
1,
5
],
[
1746347009.665666,
20,
1,
5
],
[
1746347025.0551584,
20,
1,
5
],
[
1746347040.560878,
20,
1,
5
],
[
1746347055.8578832,
20,
1,
5
],
[
1746347071.2465189,
20,
1,
5
],
[
1746347086.717769,
20,
1,
5
],
[
1746347101.995743,
20,
1,
5
],
[
1746347117.4989393,
20,
1,
5
],
[
1746347132.6070528,
20,
1,
5
],
[
1746347147.6919446,
20,
1,
5
],
[
1746347162.7775276,
20,
1,
5
],
[
1746347176.7339978,
20,
1,
5
],
[
1746347190.959413,
20,
1,
5
],
[
1746347205.3199534,
20,
1,
5
],
[
1746347219.5985165,
20,
1,
5
],
[
1746347234.350893,
20,
1,
5
],
[
1746347249.268367,
20,
1,
5
],
[
1746347264.8264215,
20,
1,
5
],
[
1746347279.5621705,
20,
1,
5
],
[
1746347294.5119653,
20,
1,
5
],
[
1746347310.2885535,
20,
1,
5
],
[
1746347325.353033,
20,
1,
5
],
[
1746347339.7894697,
20,
1,
5
],
[
1746347355.2534595,
20,
1,
5
],
[
1746347369.7795315,
20,
1,
5
],
[
1746347384.292715,
20,
1,
5
],
[
1746347399.1777456,
20,
1,
5
],
[
1746347413.1212769,
20,
1,
5
],
[
1746347426.650431,
20,
1,
5
],
[
1746347441.0308063,
20,
1,
5
],
[
1746347455.7529724,
20,
1,
5
],
[
1746347471.4654524,
20,
1,
5
],
[
1746347486.3657076,
20,
1,
5
],
[
1746347501.3284597,
20,
1,
5
],
[
1746347516.8848662,
20,
1,
5
],
[
1746347531.9490206,
20,
1,
5
],
[
1746347547.905626,
20,
1,
5
],
[
1746347562.8142529,
20,
1,
5
],
[
1746347577.8432941,
20,
1,
5
],
[
1746347592.684132,
20,
1,
5
],
[
1746347607.7515154,
20,
1,
5
],
[
1746347623.0296028,
20,
1,
5
],
[
1746347638.468321,
20,
1,
5
],
[
1746347654.2243302,
20,
1,
5
],
[
1746347669.301805,
20,
1,
5
],
[
1746347684.259008,
20,
1,
5
],
[
1746347700.313074,
20,
1,
5
],
[
1746347715.4527545,
20,
1,
5
],
[
1746347730.9965422,
20,
1,
5
],
[
1746347745.2510655,
20,
1,
5
],
[
1746347760.8457625,
20,
1,
5
],
[
1746347774.851557,
20,
1,
5
],
[
1746347789.5876005,
20,
1,
5
],
[
1746347804.379034,
20,
1,
5
],
[
1746347819.3862145,
20,
1,
5
],
[
1746347834.521399,
20,
1,
5
],
[
1746347849.7123187,
20,
1,
5
],
[
1746347865.3181393,
20,
1,
5
],
[
1746347880.6698303,
20,
1,
5
],
[
1746347896.0352483,
20,
1,
5
],
[
1746347911.3140314,
20,
1,
5
],
[
1746347926.871303,
20,
1,
5
],
[
1746347942.3768506,
20,
1,
5
],
[
1746347957.7786558,
20,
1,
5
],
[
1746347972.9514983,
20,
1,
5
],
[
1746347988.4278297,
20,
1,
5
],
[
1746348003.9482117,
20,
1,
5
],
[
1746348018.1905193,
20,
1,
5
],
[
1746348033.4012268,
20,
1,
5
],
[
1746348048.6028655,
20,
1,
5
],
[
1746348063.7425508,
20,
1,
5
],
[
1746348079.4178016,
20,
1,
5
],
[
1746348093.950191,
20,
1,
5
],
[
1746348109.3807573,
20,
1,
5
],
[
1746348124.9762695,
20,
1,
5
],
[
1746348140.4121633,
20,
1,
5
],
[
1746348156.0386796,
20,
1,
5
],
[
1746348170.5064683,
20,
1,
5
],
[
1746348186.075766,
20,
1,
5
],
[
1746348201.5804012,
20,
1,
5
],
[
1746348216.1008835,
20,
1,
5
],
[
1746348231.6760669,
20,
1,
5
],
[
1746348247.2309582,
20,
1,
5
],
[
1746348262.822671,
20,
1,
5
],
[
1746348277.299504,
20,
1,
5
],
[
1746348293.0392594,
20,
1,
5
],
[
1746348308.6819313,
20,
1,
5
],
[
1746348323.1185417,
20,
1,
5
],
[
1746348338.786906,
20,
1,
5
],
[
1746348354.4756546,
20,
1,
5
],
[
1746348369.015501,
20,
1,
5
],
[
1746348384.841899,
20,
1,
5
],
[
1746348400.581118,
20,
1,
5
],
[
1746348414.3616073,
20,
1,
5
],
[
1746348429.0798337,
20,
1,
5
],
[
1746348442.8088439,
20,
1,
5
],
[
1746348457.4238796,
20,
1,
5
],
[
1746348472.8284557,
20,
1,
5
],
[
1746348486.8736527,
20,
1,
5
],
[
1746348502.288036,
20,
1,
5
],
[
1746348516.52846,
20,
1,
5
],
[
1746348531.6821702,
20,
1,
5
],
[
1746348546.4785373,
20,
1,
5
],
[
1746348560.2545805,
20,
1,
5
],
[
1746348575.3420389,
20,
1,
5
],
[
1746348608.4831457,
20,
0,
0
],
[
1746349812.907339,
20,
0,
0
],
[
1746349813.5798082,
20,
0,
0
],
[
1746349816.4371364,
20,
1,
5
],
[
1746349826.187871,
20,
1,
5
],
[
1746350741.837044,
20,
1,
5
],
[
1746350742.659073,
20,
1,
5
],
[
1746350744.7434726,
20,
2,
10
],
[
1746350760.0959458,
20,
2,
10
],
[
1746351861.833844,
20,
2,
10
],
[
1746351862.592262,
20,
2,
10
],
[
1746351864.6813943,
20,
3,
15
],
[
1746351884.5626752,
20,
3,
15
],
[
1746353012.0022082,
20,
3,
15
],
[
1746353012.7796307,
20,
3,
15
],
[
1746353014.818738,
20,
4,
20
],
[
1746353038.9230824,
20,
4,
20
],
[
1746354146.1905923,
20,
4,
20
],
[
1746354146.9406722,
20,
4,
20
],
[
1746354148.8694327,
20,
5,
25
],
[
1746354177.9816098,
20,
5,
25
],
[
1746355289.4678018,
20,
5,
25
],
[
1746355290.4112275,
20,
5,
25
],
[
1746355292.549472,
20,
6,
30
],
[
1746355328.5759933,
20,
6,
30
],
[
1746356279.389129,
20,
6,
30
],
[
1746356280.3875935,
20,
6,
30
],
[
1746356283.095032,
20,
7,
35
],
[
1746356310.8473473,
20,
7,
35
],
[
1746356327.5842466,
20,
6,
30
],
[
1746356327.758237,
20,
6,
30
],
[
1746357402.540542,
20,
6,
30
],
[
1746357403.181132,
20,
6,
30
],
[
1746357405.168735,
20,
7,
35
],
[
1746357421.1729872,
20,
7,
35
],
[
1746357450.8667505,
20,
6,
30
],
[
1746357468.1934977,
20,
5,
25
],
[
1746357468.3284068,
20,
5,
25
],
[
1746358904.779104,
20,
5,
25
],
[
1746358905.5254793,
20,
5,
25
],
[
1746358907.5894945,
20,
6,
30
],
[
1746358923.5044441,
20,
6,
30
],
[
1746358964.821081,
20,
5,
25
],
[
1746358964.9784045,
20,
5,
25
],
[
1746359967.7591581,
20,
5,
25
],
[
1746359968.5224357,
20,
5,
25
],
[
1746359970.5220287,
20,
6,
30
],
[
1746359986.4471674,
20,
6,
30
],
[
1746360026.834834,
20,
5,
25
],
[
1746360027.0046787,
20,
5,
25
],
[
1746360995.7573717,
20,
5,
25
],
[
1746360996.4360082,
20,
5,
25
],
[
1746360998.5397897,
20,
6,
30
],
[
1746361014.410174,
20,
6,
30
],
[
1746361053.1568358,
20,
5,
25
],
[
1746361053.3073564,
20,
5,
25
],
[
1746362170.1645365,
20,
5,
25
],
[
1746362170.8948321,
20,
5,
25
],
[
1746362172.8255713,
20,
6,
30
],
[
1746362188.75872,
20,
6,
30
],
[
1746362229.2944522,
20,
5,
25
],
[
1746362229.4469433,
20,
5,
25
],
[
1746363540.530071,
20,
5,
25
],
[
1746363541.1624134,
20,
5,
25
],
[
1746363543.119211,
20,
6,
30
],
[
1746363576.8185306,
20,
6,
30
],
[
1746364410.444009,
20,
6,
30
],
[
1746364411.1844542,
20,
6,
30
],
[
1746364413.16284,
20,
7,
35
],
[
1746364450.9888463,
20,
7,
35
],
[
1746365342.6501427,
20,
7,
35
],
[
1746365343.123611,
20,
7,
35
],
[
1746365345.0513754,
20,
8,
40
],
[
1746365360.7402253,
20,
8,
40
],
[
1746365406.8324285,
20,
7,
35
],
[
1746365406.9545226,
20,
7,
35
],
[
1746366180.7226636,
20,
7,
35
],
[
1746366181.1843793,
20,
7,
35
],
[
1746366183.2265084,
20,
8,
40
],
[
1746366199.062075,
20,
8,
40
],
[
1746366243.9478154,
20,
7,
35
],
[
1746366244.1009617,
20,
7,
35
],
[
1746367143.4423223,
20,
7,
35
],
[
1746367144.2373617,
20,
7,
35
],
[
1746367146.6741188,
20,
8,
40
],
[
1746367187.4692342,
20,
8,
40
],
[
1746367839.1565642,
20,
8,
40
],
[
1746367839.6414402,
20,
8,
40
],
[
1746367841.4214013,
20,
9,
45
],
[
1746367857.1380198,
20,
9,
45
],
[
1746367892.6792364,
20,
8,
40
],
[
1746367906.4151034,
20,
7,
35
],
[
1746367906.4901316,
20,
7,
35
],
[
1746368879.5913103,
20,
7,
35
],
[
1746368880.1884089,
20,
7,
35
],
[
1746368882.1556988,
20,
8,
40
],
[
1746368898.0354388,
20,
8,
40
],
[
1746368939.4602916,
20,
7,
35
],
[
1746368939.557021,
20,
7,
35
],
[
1746369945.476144,
20,
7,
35
],
[
1746369946.2014992,
20,
7,
35
],
[
1746369948.1662273,
20,
8,
40
],
[
1746369964.0769928,
20,
8,
40
],
[
1746370007.6474571,
20,
7,
35
],
[
1746370007.9264884,
20,
7,
35
],
[
1746370046.176174,
20,
7,
35
],
[
1746370086.9844556,
20,
7,
35
],
[
1746370127.8379216,
20,
7,
35
],
[
1746370169.6186466,
20,
7,
35
],
[
1746370213.6883843,
20,
7,
35
],
[
1746370256.0761428,
20,
7,
35
],
[
1746370298.7903697,
20,
7,
35
],
[
1746370342.5739365,
20,
7,
35
],
[
1746370384.0386944,
20,
7,
35
],
[
1746370423.3774757,
20,
7,
35
],
[
1746370464.074131,
20,
7,
35
],
[
1746370504.6077797,
20,
7,
35
],
[
1746370545.8038473,
20,
7,
35
],
[
1746370589.561212,
20,
7,
35
],
[
1746370632.7408993,
20,
7,
35
],
[
1746370675.762762,
20,
7,
35
],
[
1746370718.5135322,
20,
7,
35
],
[
1746370761.6068718,
20,
7,
35
],
[
1746370805.073733,
20,
7,
35
],
[
1746370846.9535022,
20,
7,
35
],
[
1746370895.290195,
20,
7,
35
],
[
1746370942.3644972,
20,
7,
35
],
[
1746370989.4819028,
20,
7,
35
],
[
1746371037.163486,
20,
7,
35
],
[
1746371084.0210679,
20,
7,
35
],
[
1746371130.8564022,
20,
7,
35
],
[
1746371178.785952,
20,
7,
35
],
[
1746371225.4437313,
20,
6,
30
],
[
1746371267.884327,
20,
6,
30
],
[
1746371310.0830734,
20,
6,
30
],
[
1746371352.4581356,
20,
6,
30
],
[
1746371394.5815272,
20,
6,
30
],
[
1746371436.8338335,
20,
6,
30
],
[
1746371478.69699,
20,
6,
30
],
[
1746371521.2993605,
20,
6,
30
],
[
1746371562.446106,
20,
6,
30
],
[
1746371605.5495727,
20,
6,
30
],
[
1746371646.4940355,
20,
6,
30
],
[
1746371687.394528,
20,
6,
30
],
[
1746371727.880142,
20,
6,
30
],
[
1746371769.8175595,
20,
6,
30
],
[
1746371812.1885808,
20,
6,
30
],
[
1746371833.0369866,
20,
6,
30
],
[
1746371873.4177477,
20,
5,
25
],
[
1746371873.7722163,
20,
5,
25
],
[
1746371909.5060074,
20,
5,
25
],
[
1746371947.1081614,
20,
5,
25
],
[
1746371985.1020076,
20,
5,
25
],
[
1746372020.3532171,
20,
5,
25
],
[
1746372056.551907,
20,
5,
25
],
[
1746372089.2080865,
20,
5,
25
],
[
1746372124.5646138,
20,
5,
25
],
[
1746372159.455616,
20,
5,
25
],
[
1746372195.3638885,
20,
5,
25
],
[
1746372231.8092382,
20,
5,
25
],
[
1746372268.145997,
20,
5,
25
],
[
1746372306.9449358,
20,
5,
25
],
[
1746372343.5072596,
20,
5,
25
],
[
1746372380.1108701,
20,
5,
25
],
[
1746372417.123991,
20,
5,
25
],
[
1746372452.8943312,
20,
5,
25
],
[
1746372489.3669214,
20,
5,
25
],
[
1746372526.4939377,
20,
5,
25
],
[
1746372564.0546927,
20,
5,
25
],
[
1746372600.9656844,
20,
5,
25
],
[
1746372636.4777083,
20,
5,
25
],
[
1746372673.9445603,
20,
5,
25
],
[
1746372711.9100726,
20,
5,
25
],
[
1746372749.7145872,
20,
5,
25
],
[
1746372786.7110062,
20,
5,
25
],
[
1746372824.804171,
20,
5,
25
],
[
1746372860.4585478,
20,
5,
25
],
[
1746372898.1750255,
20,
5,
25
],
[
1746372935.0442998,
20,
5,
25
],
[
1746372973.4197915,
20,
5,
25
],
[
1746373009.730878,
20,
5,
25
],
[
1746373047.9058166,
20,
4,
20
],
[
1746373077.1321762,
20,
4,
20
],
[
1746373109.885399,
20,
4,
20
],
[
1746373142.6921628,
20,
4,
20
],
[
1746373175.0111532,
20,
4,
20
],
[
1746373205.6571643,
20,
4,
20
],
[
1746373237.872746,
20,
4,
20
],
[
1746373270.1600082,
20,
4,
20
],
[
1746373301.4438932,
20,
4,
20
],
[
1746373334.1434977,
20,
4,
20
],
[
1746373361.9775772,
20,
4,
20
],
[
1746373393.078043,
20,
4,
20
],
[
1746373425.9045792,
20,
4,
20
],
[
1746373456.2811155,
20,
4,
20
],
[
1746373488.5308633,
20,
4,
20
],
[
1746373522.593424,
20,
4,
20
],
[
1746373553.681711,
20,
4,
20
],
[
1746373584.8689816,
20,
4,
20
],
[
1746373614.634235,
20,
4,
20
],
[
1746373644.1405654,
20,
3,
15
],
[
1746373667.4412944,
20,
3,
15
],
[
1746373690.1022766,
20,
3,
15
],
[
1746373713.4630258,
20,
3,
15
],
[
1746373738.6689298,
20,
3,
15
],
[
1746373764.0739431,
20,
3,
15
],
[
1746373789.6087477,
20,
3,
15
],
[
1746373816.3796766,
20,
3,
15
],
[
1746373844.4662676,
20,
3,
15
],
[
1746373870.6211393,
20,
3,
15
],
[
1746373896.3700402,
20,
3,
15
],
[
1746373922.4721062,
20,
3,
15
],
[
1746373948.301498,
20,
3,
15
],
[
1746373975.2853708,
20,
3,
15
],
[
1746374002.4975562,
20,
3,
15
],
[
1746374028.6987834,
20,
3,
15
],
[
1746374055.198302,
20,
3,
15
],
[
1746374081.8708115,
20,
3,
15
],
[
1746374108.9712594,
20,
3,
15
],
[
1746374134.929254,
20,
3,
15
],
[
1746374161.5693572,
20,
3,
15
],
[
1746374187.4749513,
20,
3,
15
],
[
1746374214.501934,
20,
3,
15
],
[
1746374241.7481523,
20,
3,
15
],
[
1746374268.3565645,
20,
3,
15
],
[
1746374293.9290621,
20,
3,
15
],
[
1746374319.0919416,
20,
3,
15
],
[
1746374344.9364707,
20,
3,
15
],
[
1746374370.2996664,
20,
3,
15
],
[
1746374397.044354,
20,
3,
15
],
[
1746374424.1544557,
20,
3,
15
],
[
1746374450.6693785,
20,
3,
15
],
[
1746374477.0451603,
20,
3,
15
],
[
1746374503.6759338,
20,
3,
15
],
[
1746374529.8778014,
20,
3,
15
],
[
1746374556.3116288,
20,
3,
15
],
[
1746374582.3690796,
20,
3,
15
],
[
1746374608.1482728,
20,
3,
15
],
[
1746374633.7103024,
20,
3,
15
],
[
1746374660.7091162,
20,
3,
15
],
[
1746374688.3341167,
20,
3,
15
],
[
1746374714.389213,
20,
3,
15
],
[
1746374740.8512638,
20,
3,
15
],
[
1746374765.5797553,
20,
3,
15
],
[
1746374789.955123,
20,
3,
15
],
[
1746374811.9513152,
20,
3,
15
],
[
1746374834.3023832,
20,
3,
15
],
[
1746374856.58395,
20,
3,
15
],
[
1746374882.4159296,
20,
3,
15
],
[
1746374906.4305952,
20,
3,
15
],
[
1746374930.1756206,
20,
3,
15
],
[
1746374955.0668924,
20,
3,
15
],
[
1746374979.7707617,
20,
3,
15
],
[
1746375007.0796857,
20,
3,
15
],
[
1746375033.6065822,
20,
3,
15
],
[
1746375059.6776807,
20,
3,
15
],
[
1746375086.5781703,
20,
3,
15
],
[
1746375114.2613049,
20,
3,
15
],
[
1746375141.0125866,
20,
3,
15
],
[
1746375167.4772756,
20,
3,
15
],
[
1746375194.285322,
20,
3,
15
],
[
1746375220.9014747,
20,
3,
15
],
[
1746375247.7020571,
20,
3,
15
],
[
1746375274.37808,
20,
3,
15
],
[
1746375301.2660956,
20,
3,
15
],
[
1746375328.1428475,
20,
3,
15
],
[
1746375356.2454877,
20,
3,
15
],
[
1746375381.5608146,
20,
3,
15
],
[
1746375402.9407027,
20,
3,
15
],
[
1746375427.3047094,
20,
3,
15
],
[
1746375453.1737702,
20,
2,
10
],
[
1746375473.908824,
20,
2,
10
],
[
1746375494.8450923,
20,
2,
10
],
[
1746375515.408548,
20,
2,
10
],
[
1746375536.313788,
20,
2,
10
],
[
1746375557.9460177,
20,
2,
10
],
[
1746375579.6237266,
20,
2,
10
],
[
1746375601.2247016,
20,
2,
10
],
[
1746375622.6035352,
20,
2,
10
],
[
1746375643.9504738,
20,
2,
10
],
[
1746375665.4980075,
20,
2,
10
],
[
1746375687.092823,
20,
2,
10
],
[
1746375708.6571863,
20,
2,
10
],
[
1746375731.0122423,
20,
2,
10
],
[
1746375752.4987707,
20,
2,
10
],
[
1746375774.1631293,
20,
2,
10
],
[
1746375796.036687,
20,
2,
10
],
[
1746375816.6679313,
20,
2,
10
],
[
1746375838.3019233,
20,
2,
10
],
[
1746375859.629881,
20,
2,
10
],
[
1746375880.976575,
20,
2,
10
],
[
1746375902.6540372,
20,
2,
10
],
[
1746375923.8365607,
20,
2,
10
],
[
1746375944.5278625,
20,
2,
10
],
[
1746375964.2834785,
20,
2,
10
],
[
1746375985.1930435,
20,
2,
10
],
[
1746376007.0927377,
20,
2,
10
],
[
1746376029.1244273,
20,
2,
10
],
[
1746376050.2363932,
20,
2,
10
],
[
1746376071.8193069,
20,
2,
10
],
[
1746376093.5694876,
20,
2,
10
],
[
1746376115.205919,
20,
2,
10
],
[
1746376136.8208709,
20,
2,
10
],
[
1746376156.6399012,
20,
2,
10
],
[
1746376178.2187028,
20,
2,
10
],
[
1746376200.9728768,
20,
2,
10
],
[
1746376221.4191287,
20,
2,
10
],
[
1746376243.4286196,
20,
2,
10
],
[
1746376265.4150064,
20,
2,
10
],
[
1746376287.6854882,
20,
2,
10
],
[
1746376307.7175734,
20,
2,
10
],
[
1746376329.5775266,
20,
2,
10
],
[
1746376351.0421712,
20,
2,
10
],
[
1746376370.929247,
20,
2,
10
],
[
1746376392.2184389,
20,
2,
10
],
[
1746376413.2950711,
20,
2,
10
],
[
1746376433.0321584,
20,
2,
10
],
[
1746376454.3923936,
20,
2,
10
],
[
1746376476.5355787,
20,
2,
10
],
[
1746376497.048028,
20,
2,
10
],
[
1746376519.9355106,
20,
2,
10
],
[
1746376541.7232685,
20,
2,
10
],
[
1746376560.331778,
20,
2,
10
],
[
1746376580.5477953,
20,
2,
10
],
[
1746376599.013371,
20,
2,
10
],
[
1746376620.28272,
20,
2,
10
],
[
1746376641.825509,
20,
1,
5
],
[
1746376657.6668253,
20,
1,
5
],
[
1746376673.041934,
20,
1,
5
],
[
1746376688.61634,
20,
1,
5
],
[
1746376704.1559508,
20,
1,
5
],
[
1746376719.1903129,
20,
1,
5
],
[
1746376735.3953195,
20,
1,
5
],
[
1746376751.661779,
20,
1,
5
],
[
1746376767.4367702,
20,
1,
5
],
[
1746376783.066456,
20,
1,
5
],
[
1746376798.6635695,
20,
1,
5
],
[
1746376814.2119694,
20,
1,
5
],
[
1746376829.4205105,
20,
1,
5
],
[
1746376844.9278224,
20,
1,
5
],
[
1746376860.9747553,
20,
1,
5
],
[
1746376877.0123959,
20,
1,
5
],
[
1746376893.631202,
20,
1,
5
],
[
1746376909.945993,
20,
1,
5
],
[
1746376926.210113,
20,
1,
5
],
[
1746376942.5441797,
20,
1,
5
],
[
1746376958.972383,
20,
1,
5
],
[
1746376975.7649505,
20,
1,
5
],
[
1746376992.038826,
20,
1,
5
],
[
1746377008.1988149,
20,
1,
5
],
[
1746377024.2296872,
20,
1,
5
],
[
1746377040.4919586,
20,
1,
5
],
[
1746377056.5624893,
20,
1,
5
],
[
1746377072.609603,
20,
1,
5
],
[
1746377088.6663992,
20,
1,
5
],
[
1746377105.028353,
20,
1,
5
],
[
1746377121.8712025,
20,
1,
5
],
[
1746377138.4155788,
20,
1,
5
],
[
1746377154.7869203,
20,
1,
5
],
[
1746377171.2522686,
20,
1,
5
],
[
1746377187.3279026,
20,
1,
5
],
[
1746377203.6918187,
20,
1,
5
],
[
1746377218.175346,
20,
1,
5
],
[
1746377234.117847,
20,
1,
5
],
[
1746377268.2698443,
20,
0,
0
],
[
1746378434.2510505,
20,
0,
0
],
[
1746378434.852232,
20,
0,
0
],
[
1746378437.3760395,
20,
1,
5
],
[
1746378447.9106205,
20,
1,
5
],
[
1746379618.9997578,
20,
1,
5
],
[
1746379619.76986,
20,
1,
5
],
[
1746379621.8001947,
20,
2,
10
],
[
1746379639.402197,
20,
2,
10
],
[
1746381119.4156556,
20,
2,
10
],
[
1746381120.440814,
20,
2,
10
],
[
1746381123.4673495,
20,
3,
15
],
[
1746381144.9416893,
20,
3,
15
],
[
1746382605.279344,
20,
3,
15
],
[
1746382606.0595226,
20,
3,
15
],
[
1746382608.4489393,
20,
4,
20
],
[
1746382621.5789714,
20,
4,
20
],
[
1746382639.728711,
20,
3,
15
],
[
1746382639.8925061,
20,
3,
15
],
[
1746384080.7889833,
20,
3,
15
],
[
1746384081.523683,
20,
3,
15
],
[
1746384083.6604912,
20,
4,
20
],
[
1746384096.9389503,
20,
4,
20
],
[
1746384114.0956106,
20,
3,
15
],
[
1746384114.3520265,
20,
3,
15
],
[
1746385342.9829652,
20,
3,
15
],
[
1746385343.68507,
20,
3,
15
],
[
1746385345.7395258,
20,
4,
20
],
[
1746385370.7408364,
20,
4,
20
],
[
1746386559.498427,
20,
4,
20
],
[
1746386560.4317684,
20,
4,
20
],
[
1746386562.6551805,
20,
5,
25
],
[
1746386578.7948887,
20,
5,
25
],
[
1746386604.8294208,
20,
4,
20
],
[
1746386617.6096087,
20,
3,
15
],
[
1746386617.8043845,
20,
3,
15
],
[
1746388333.9524302,
20,
3,
15
],
[
1746388334.6917543,
20,
3,
15
],
[
1746388336.6784322,
20,
4,
20
],
[
1746388352.6752856,
20,
4,
20
],
[
1746388383.1358798,
20,
3,
15
],
[
1746388383.3574345,
20,
3,
15
],
[
1746390142.8984725,
20,
3,
15
],
[
1746390143.6671145,
20,
3,
15
],
[
1746390145.6658247,
20,
4,
20
],
[
1746390157.2061431,
20,
4,
20
],
[
1746390174.5384588,
20,
3,
15
],
[
1746390174.7128446,
20,
3,
15
],
[
1746391663.4015374,
20,
3,
15
],
[
1746391664.3509948,
20,
3,
15
],
[
1746391666.6512244,
20,
4,
20
],
[
1746391682.5446968,
20,
4,
20
],
[
1746391698.5880501,
20,
3,
15
],
[
1746391715.2675307,
20,
2,
10
],
[
1746391715.4165127,
20,
2,
10
],
[
1746393289.7421572,
20,
2,
10
],
[
1746393290.4870584,
20,
2,
10
],
[
1746393292.6347656,
20,
3,
15
],
[
1746393308.6048853,
20,
3,
15
],
[
1746393324.5154405,
20,
2,
10
],
[
1746393336.255288,
20,
1,
5
],
[
1746393336.5088346,
20,
1,
5
],
[
1746394733.7338228,
20,
1,
5
],
[
1746394734.497277,
20,
1,
5
],
[
1746394736.596522,
20,
2,
10
],
[
1746394752.3088088,
20,
2,
10
],
[
1746395834.8249195,
20,
2,
10
],
[
1746395835.555874,
20,
2,
10
],
[
1746395837.6432605,
20,
3,
15
],
[
1746395844.614774,
20,
3,
15
],
[
1746395862.6457162,
20,
2,
10
],
[
1746395862.79641,
20,
2,
10
],
[
1746397062.4381936,
20,
2,
10
],
[
1746397063.392838,
20,
2,
10
],
[
1746397065.58928,
20,
3,
15
],
[
1746397086.4886892,
20,
3,
15
],
[
1746398051.5120497,
20,
3,
15
],
[
1746398052.5113096,
20,
3,
15
],
[
1746398054.6787999,
20,
4,
20
],
[
1746398067.9209175,
20,
4,
20
],
[
1746398085.1714928,
20,
3,
15
],
[
1746398085.4164946,
20,
3,
15
],
[
1746399404.9776628,
20,
3,
15
],
[
1746399405.686151,
20,
3,
15
],
[
1746399407.6905518,
20,
4,
20
],
[
1746399423.6247745,
20,
4,
20
],
[
1746399453.6342256,
20,
3,
15
],
[
1746399453.8529315,
20,
3,
15
],
[
1746400664.9934516,
20,
3,
15
],
[
1746400665.7411203,
20,
3,
15
],
[
1746400667.696756,
20,
4,
20
],
[
1746400692.0661843,
20,
4,
20
],
[
1746401928.5057921,
20,
4,
20
],
[
1746401929.4720073,
20,
4,
20
],
[
1746401931.6636553,
20,
5,
25
],
[
1746401948.582479,
20,
5,
25
],
[
1746401966.3010917,
20,
4,
20
],
[
1746401966.786329,
20,
4,
20
],
[
1746403341.5749996,
20,
4,
20
],
[
1746403342.4328969,
20,
4,
20
],
[
1746403344.6075463,
20,
5,
25
],
[
1746403360.5337858,
20,
5,
25
],
[
1746403386.3912704,
20,
4,
20
],
[
1746403398.2823155,
20,
3,
15
],
[
1746403398.4394283,
20,
3,
15
],
[
1746405195.4158933,
20,
3,
15
],
[
1746405196.4042435,
20,
3,
15
],
[
1746405198.6534252,
20,
4,
20
],
[
1746405225.4187155,
20,
4,
20
],
[
1746405253.6067367,
20,
4,
20
],
[
1746405284.6957266,
20,
4,
20
],
[
1746405314.9772801,
20,
4,
20
],
[
1746405346.0716078,
20,
4,
20
],
[
1746405378.4586565,
20,
3,
15
],
[
1746405404.0419612,
20,
3,
15
],
[
1746405430.9152997,
20,
3,
15
],
[
1746405456.6392646,
20,
3,
15
],
[
1746405483.797448,
20,
3,
15
],
[
1746405509.1304107,
20,
3,
15
],
[
1746405535.8341148,
20,
3,
15
],
[
1746405560.1029048,
20,
3,
15
],
[
1746405585.6751916,
20,
3,
15
],
[
1746405610.098578,
20,
3,
15
],
[
1746405635.4880953,
20,
3,
15
],
[
1746405660.7349834,
20,
3,
15
],
[
1746405687.1410804,
20,
3,
15
],
[
1746405712.9099112,
20,
3,
15
],
[
1746405739.0738416,
20,
3,
15
],
[
1746405765.1688552,
20,
3,
15
],
[
1746405791.2857938,
20,
3,
15
],
[
1746405817.3453212,
20,
3,
15
],
[
1746405843.7314332,
20,
3,
15
],
[
1746405871.1613684,
20,
3,
15
],
[
1746405897.4801128,
20,
3,
15
],
[
1746405923.468181,
20,
3,
15
],
[
1746405949.7065413,
20,
3,
15
],
[
1746405974.3244545,
20,
3,
15
],
[
1746405999.8835108,
20,
3,
15
],
[
1746406025.974223,
20,
3,
15
],
[
1746406052.235389,
20,
3,
15
],
[
1746406078.9380066,
20,
3,
15
],
[
1746406105.308762,
20,
3,
15
],
[
1746406131.814955,
20,
3,
15
],
[
1746406158.7359202,
20,
3,
15
],
[
1746406184.825978,
20,
3,
15
],
[
1746406211.65163,
20,
3,
15
],
[
1746406238.3005228,
20,
3,
15
],
[
1746406265.1496654,
20,
3,
15
],
[
1746406290.191665,
20,
3,
15
],
[
1746406317.1216686,
20,
3,
15
],
[
1746406344.2614403,
20,
3,
15
],
[
1746406369.1317997,
20,
3,
15
],
[
1746406395.310847,
20,
3,
15
],
[
1746406420.657793,
20,
3,
15
],
[
1746406446.9994276,
20,
3,
15
],
[
1746406472.7905033,
20,
3,
15
],
[
1746406497.211121,
20,
3,
15
],
[
1746406522.975683,
20,
3,
15
],
[
1746406545.6228187,
20,
3,
15
],
[
1746406570.2010007,
20,
3,
15
],
[
1746406593.092863,
20,
3,
15
],
[
1746406616.4859862,
20,
3,
15
],
[
1746406642.2180176,
20,
3,
15
],
[
1746406666.0709338,
20,
3,
15
],
[
1746406691.6222417,
20,
3,
15
],
[
1746406714.8128898,
20,
3,
15
],
[
1746406737.5555189,
20,
3,
15
],
[
1746406762.2947376,
20,
3,
15
],
[
1746406786.536267,
20,
3,
15
],
[
1746406811.3414261,
20,
3,
15
],
[
1746406837.6583302,
20,
3,
15
],
[
1746406863.4171705,
20,
3,
15
],
[
1746406888.348043,
20,
3,
15
],
[
1746406915.320985,
20,
3,
15
],
[
1746406940.3507397,
20,
3,
15
],
[
1746406965.3136137,
20,
3,
15
],
[
1746406990.0853822,
20,
3,
15
],
[
1746407016.9514182,
20,
3,
15
],
[
1746407042.1964626,
20,
3,
15
],
[
1746407067.5945878,
20,
3,
15
],
[
1746407093.3591373,
20,
3,
15
],
[
1746407118.190995,
20,
3,
15
],
[
1746407143.26958,
20,
2,
10
],
[
1746407163.6310863,
20,
2,
10
],
[
1746407184.192959,
20,
2,
10
],
[
1746407203.0276835,
20,
2,
10
],
[
1746407223.6756299,
20,
2,
10
],
[
1746407244.7586246,
20,
2,
10
],
[
1746407264.1660657,
20,
2,
10
],
[
1746407284.402537,
20,
2,
10
],
[
1746407303.10856,
20,
2,
10
],
[
1746407322.956995,
20,
2,
10
],
[
1746407342.3646088,
20,
2,
10
],
[
1746407364.0365171,
20,
2,
10
],
[
1746407385.7995124,
20,
2,
10
],
[
1746407405.337083,
20,
2,
10
],
[
1746407426.426695,
20,
2,
10
],
[
1746407446.3444324,
20,
2,
10
],
[
1746407467.5148346,
20,
2,
10
],
[
1746407486.6521847,
20,
2,
10
],
[
1746407507.867121,
20,
2,
10
],
[
1746407527.6889997,
20,
2,
10
],
[
1746407549.437578,
20,
2,
10
],
[
1746407569.0430436,
20,
2,
10
],
[
1746407590.0236247,
20,
2,
10
],
[
1746407609.1951838,
20,
2,
10
],
[
1746407629.7417,
20,
2,
10
],
[
1746407648.8912785,
20,
2,
10
],
[
1746407670.405344,
20,
2,
10
],
[
1746407689.8881307,
20,
2,
10
],
[
1746407710.720778,
20,
2,
10
],
[
1746407730.984472,
20,
2,
10
],
[
1746407749.1635811,
20,
2,
10
],
[
1746407770.0415034,
20,
2,
10
],
[
1746407790.4916427,
20,
2,
10
],
[
1746407809.936749,
20,
2,
10
],
[
1746407830.1965222,
20,
2,
10
],
[
1746407850.892376,
20,
2,
10
],
[
1746407870.7910953,
20,
2,
10
],
[
1746407890.9618776,
20,
2,
10
],
[
1746407910.678721,
20,
2,
10
],
[
1746407931.5205755,
20,
2,
10
],
[
1746407949.7343187,
20,
2,
10
],
[
1746407967.6204863,
20,
2,
10
],
[
1746407985.683039,
20,
2,
10
],
[
1746408004.7378013,
20,
2,
10
],
[
1746408023.7595005,
20,
2,
10
],
[
1746408042.0755422,
20,
2,
10
],
[
1746408060.6744988,
20,
2,
10
],
[
1746408081.207123,
20,
2,
10
],
[
1746408100.6266224,
20,
2,
10
],
[
1746408120.8902404,
20,
2,
10
],
[
1746408142.0262911,
20,
2,
10
],
[
1746408162.1407888,
20,
2,
10
],
[
1746408182.1246307,
20,
2,
10
],
[
1746408201.8268275,
20,
2,
10
],
[
1746408222.2526882,
20,
2,
10
],
[
1746408242.0127432,
20,
2,
10
],
[
1746408261.863822,
20,
2,
10
],
[
1746408282.2039504,
20,
2,
10
],
[
1746408303.0130136,
20,
2,
10
],
[
1746408323.5801678,
20,
2,
10
],
[
1746408343.9765646,
20,
2,
10
],
[
1746408364.0751224,
20,
2,
10
],
[
1746408383.9920568,
20,
2,
10
],
[
1746408403.3683662,
20,
2,
10
],
[
1746408421.9416819,
20,
2,
10
],
[
1746408441.0625732,
20,
2,
10
],
[
1746408460.429184,
20,
2,
10
],
[
1746408480.7458358,
20,
2,
10
],
[
1746408501.2478292,
20,
2,
10
],
[
1746408522.007204,
20,
2,
10
],
[
1746408542.5823987,
20,
2,
10
],
[
1746408562.3370664,
20,
2,
10
],
[
1746408580.711704,
20,
2,
10
],
[
1746408599.355559,
20,
2,
10
],
[
1746408619.3023663,
20,
2,
10
],
[
1746408638.150248,
20,
2,
10
],
[
1746408659.1100893,
20,
2,
10
],
[
1746408680.1185346,
20,
2,
10
],
[
1746408699.7743506,
20,
2,
10
],
[
1746408720.1795595,
20,
2,
10
],
[
1746408740.543149,
20,
2,
10
],
[
1746408760.430957,
20,
2,
10
],
[
1746408781.2905588,
20,
2,
10
],
[
1746408801.0145345,
20,
2,
10
],
[
1746408821.3792493,
20,
2,
10
],
[
1746408841.9432557,
20,
2,
10
],
[
1746408861.7153141,
20,
2,
10
],
[
1746408882.1501186,
20,
2,
10
],
[
1746408903.0659573,
20,
2,
10
],
[
1746408922.6283438,
20,
2,
10
],
[
1746408942.98097,
20,
2,
10
],
[
1746408961.9725714,
20,
2,
10
],
[
1746408981.922951,
20,
2,
10
],
[
1746409000.8526278,
20,
2,
10
],
[
1746409021.9992979,
20,
2,
10
],
[
1746409042.2810357,
20,
2,
10
],
[
1746409062.6334846,
20,
2,
10
],
[
1746409083.0944374,
20,
2,
10
],
[
1746409102.2823217,
20,
2,
10
],
[
1746409121.0998204,
20,
2,
10
],
[
1746409140.9374952,
20,
2,
10
],
[
1746409160.372971,
20,
2,
10
],
[
1746409180.1038456,
20,
2,
10
],
[
1746409199.497369,
20,
2,
10
],
[
1746409218.476607,
20,
2,
10
],
[
1746409239.4903727,
20,
2,
10
],
[
1746409259.0493038,
20,
2,
10
],
[
1746409278.6872356,
20,
2,
10
],
[
1746409298.6244624,
20,
2,
10
],
[
1746409319.3595595,
20,
2,
10
],
[
1746409340.6722224,
20,
2,
10
],
[
1746409360.967892,
20,
2,
10
],
[
1746409381.022934,
20,
2,
10
],
[
1746409401.5750124,
20,
2,
10
],
[
1746409422.180445,
20,
2,
10
],
[
1746409442.6327884,
20,
2,
10
],
[
1746409462.8343263,
20,
2,
10
],
[
1746409482.4441304,
20,
2,
10
],
[
1746409501.7632508,
20,
2,
10
],
[
1746409521.6188104,
20,
2,
10
],
[
1746409542.367884,
20,
2,
10
],
[
1746409563.511479,
20,
2,
10
],
[
1746409581.2219422,
20,
1,
5
],
[
1746409581.5306647,
20,
1,
5
],
[
1746409597.844691,
20,
1,
5
],
[
1746409612.9543095,
20,
1,
5
],
[
1746409628.4240112,
20,
1,
5
],
[
1746409645.022461,
20,
1,
5
],
[
1746409660.2177413,
20,
1,
5
],
[
1746409675.0992203,
20,
1,
5
],
[
1746409691.1794775,
20,
1,
5
],
[
1746409705.794296,
20,
1,
5
],
[
1746409720.4193141,
20,
1,
5
],
[
1746409736.275469,
20,
1,
5
],
[
1746409751.0426776,
20,
1,
5
],
[
1746409766.1947637,
20,
1,
5
],
[
1746409780.9688387,
20,
1,
5
],
[
1746409797.4524982,
20,
1,
5
],
[
1746409812.600775,
20,
1,
5
],
[
1746409827.7742677,
20,
1,
5
],
[
1746409844.9835308,
20,
1,
5
],
[
1746409859.9116304,
20,
1,
5
],
[
1746409874.6948571,
20,
1,
5
],
[
1746409889.293008,
20,
1,
5
],
[
1746409905.3184726,
20,
1,
5
],
[
1746409919.6534674,
20,
1,
5
],
[
1746409934.264888,
20,
1,
5
],
[
1746409949.239146,
20,
1,
5
],
[
1746409966.2414942,
20,
1,
5
],
[
1746409981.4141593,
20,
1,
5
],
[
1746409996.5754437,
20,
1,
5
],
[
1746410011.7000089,
20,
1,
5
],
[
1746410026.5865629,
20,
1,
5
],
[
1746410043.2492983,
20,
1,
5
],
[
1746410058.080814,
20,
1,
5
],
[
1746410073.3023632,
20,
1,
5
],
[
1746410088.6378791,
20,
1,
5
],
[
1746410103.964398,
20,
1,
5
],
[
1746410119.2298439,
20,
1,
5
],
[
1746410135.640617,
20,
1,
5
],
[
1746410150.4762483,
20,
1,
5
],
[
1746410165.5984733,
20,
1,
5
],
[
1746410180.7413208,
20,
1,
5
],
[
1746410195.960316,
20,
1,
5
],
[
1746410212.4853697,
20,
1,
5
],
[
1746410227.3252387,
20,
1,
5
],
[
1746410242.4006786,
20,
1,
5
],
[
1746410257.4183228,
20,
1,
5
],
[
1746410272.50776,
20,
1,
5
],
[
1746410287.579109,
20,
1,
5
],
[
1746410304.632467,
20,
1,
5
],
[
1746410319.1637979,
20,
1,
5
],
[
1746410333.2681837,
20,
1,
5
],
[
1746410347.4089444,
20,
1,
5
],
[
1746410361.397107,
20,
1,
5
],
[
1746410375.714685,
20,
1,
5
],
[
1746410390.4495883,
20,
1,
5
],
[
1746410404.9525673,
20,
1,
5
],
[
1746410421.0093307,
20,
1,
5
],
[
1746410435.924273,
20,
1,
5
],
[
1746410450.873226,
20,
1,
5
],
[
1746410466.0796537,
20,
1,
5
],
[
1746410480.962005,
20,
1,
5
],
[
1746410495.6063,
20,
1,
5
],
[
1746410510.0309784,
20,
1,
5
],
[
1746410524.7957442,
20,
1,
5
],
[
1746410540.1456046,
20,
1,
5
],
[
1746410556.852528,
20,
1,
5
],
[
1746410572.1406305,
20,
1,
5
],
[
1746410587.0525665,
20,
1,
5
],
[
1746410602.2100186,
20,
1,
5
],
[
1746410617.560392,
20,
1,
5
],
[
1746410632.8889089,
20,
1,
5
],
[
1746410648.3097513,
20,
1,
5
],
[
1746410663.6850622,
20,
1,
5
],
[
1746410678.9275658,
20,
1,
5
],
[
1746410694.0141072,
20,
1,
5
],
[
1746410709.2363174,
20,
1,
5
],
[
1746410724.815007,
20,
1,
5
],
[
1746410742.228913,
20,
1,
5
],
[
1746410758.1970723,
20,
1,
5
],
[
1746410773.5091121,
20,
1,
5
],
[
1746410788.6571207,
20,
1,
5
],
[
1746410802.6797037,
20,
1,
5
],
[
1746410816.6351442,
20,
1,
5
],
[
1746410831.5498607,
20,
1,
5
],
[
1746410846.9019907,
20,
1,
5
],
[
1746410862.445844,
20,
1,
5
],
[
1746410877.775196,
20,
1,
5
],
[
1746410893.1441493,
20,
1,
5
],
[
1746410908.6408937,
20,
1,
5
],
[
1746410924.1563976,
20,
1,
5
],
[
1746410939.6449199,
20,
1,
5
],
[
1746410955.1305127,
20,
1,
5
],
[
1746410970.8973463,
20,
1,
5
],
[
1746410986.3802314,
20,
1,
5
],
[
1746411001.690951,
20,
1,
5
],
[
1746411017.0376873,
20,
1,
5
],
[
1746411032.2762506,
20,
1,
5
],
[
1746411047.7359524,
20,
1,
5
],
[
1746411062.559019,
20,
1,
5
],
[
1746411077.1362205,
20,
1,
5
],
[
1746411091.5983655,
20,
1,
5
],
[
1746411106.4387677,
20,
1,
5
],
[
1746411122.0093353,
20,
1,
5
],
[
1746411137.329191,
20,
1,
5
],
[
1746411152.275719,
20,
1,
5
],
[
1746411167.5108862,
20,
1,
5
],
[
1746411183.2891583,
20,
1,
5
],
[
1746411198.648936,
20,
1,
5
],
[
1746411214.1418202,
20,
1,
5
],
[
1746411228.1424973,
20,
1,
5
],
[
1746411243.3296638,
20,
1,
5
],
[
1746411256.9723616,
20,
1,
5
],
[
1746411271.0021708,
20,
1,
5
],
[
1746411284.8810835,
20,
1,
5
],
[
1746411298.8601062,
20,
1,
5
],
[
1746411313.5654306,
20,
1,
5
],
[
1746411328.3567493,
20,
1,
5
],
[
1746411343.1488674,
20,
1,
5
],
[
1746411358.3082726,
20,
1,
5
],
[
1746411373.534039,
20,
1,
5
],
[
1746411388.4625843,
20,
1,
5
],
[
1746411403.749761,
20,
1,
5
],
[
1746411418.2634013,
20,
1,
5
],
[
1746411432.673308,
20,
1,
5
],
[
1746411447.215463,
20,
1,
5
],
[
1746411460.4241705,
20,
1,
5
],
[
1746411474.9027727,
20,
1,
5
],
[
1746411489.3908927,
20,
1,
5
],
[
1746411503.1906004,
20,
1,
5
],
[
1746411517.7542667,
20,
1,
5
],
[
1746411533.1580982,
20,
1,
5
],
[
1746411547.9957948,
20,
1,
5
],
[
1746411563.2213047,
20,
1,
5
],
[
1746411578.5480697,
20,
1,
5
],
[
1746411594.791801,
20,
1,
5
],
[
1746411610.3213902,
20,
1,
5
],
[
1746411625.6536078,
20,
1,
5
],
[
1746411640.656714,
20,
1,
5
],
[
1746411655.723261,
20,
1,
5
],
[
1746411671.459696,
20,
1,
5
],
[
1746411686.9543626,
20,
1,
5
],
[
1746411702.1728294,
20,
1,
5
],
[
1746411717.2951427,
20,
1,
5
],
[
1746411732.5098379,
20,
1,
5
],
[
1746411748.328674,
20,
1,
5
],
[
1746411763.3827364,
20,
1,
5
],
[
1746411778.1544907,
20,
1,
5
],
[
1746411793.0229943,
20,
1,
5
],
[
1746411808.483047,
20,
1,
5
],
[
1746411824.2395794,
20,
1,
5
],
[
1746411839.355874,
20,
1,
5
],
[
1746411853.765242,
20,
1,
5
],
[
1746411868.0401876,
20,
1,
5
],
[
1746411882.9503865,
20,
1,
5
],
[
1746411897.679773,
20,
1,
5
],
[
1746411913.5430899,
20,
1,
5
],
[
1746411929.0205026,
20,
1,
5
],
[
1746411944.200556,
20,
1,
5
],
[
1746411959.538933,
20,
1,
5
],
[
1746411975.085407,
20,
1,
5
],
[
1746411989.5518737,
20,
1,
5
],
[
1746412005.465902,
20,
1,
5
],
[
1746412020.511755,
20,
1,
5
],
[
1746412035.1743078,
20,
1,
5
],
[
1746412049.873776,
20,
1,
5
],
[
1746412065.0275788,
20,
1,
5
],
[
1746412080.1709504,
20,
1,
5
],
[
1746412095.2944617,
20,
1,
5
],
[
1746412110.5931256,
20,
1,
5
],
[
1746412125.9244194,
20,
1,
5
],
[
1746412141.6312819,
20,
1,
5
],
[
1746412156.8705902,
20,
1,
5
],
[
1746412171.9881577,
20,
1,
5
],
[
1746412186.7130551,
20,
1,
5
],
[
1746412201.9346905,
20,
1,
5
],
[
1746412217.3623638,
20,
1,
5
],
[
1746412232.0143623,
20,
1,
5
],
[
1746412244.5861402,
20,
1,
5
],
[
1746412257.5131154,
20,
1,
5
],
[
1746412270.4487603,
20,
1,
5
],
[
1746412283.7271132,
20,
1,
5
],
[
1746412298.291221,
20,
1,
5
],
[
1746412313.7314646,
20,
1,
5
],
[
1746412328.237525,
20,
1,
5
],
[
1746412343.7940156,
20,
1,
5
],
[
1746412359.0691988,
20,
1,
5
],
[
1746412374.0237968,
20,
1,
5
],
[
1746412388.9360144,
20,
1,
5
],
[
1746412403.5758028,
20,
1,
5
],
[
1746412419.0123568,
20,
1,
5
],
[
1746412433.2988248,
20,
1,
5
],
[
1746412446.7619877,
20,
1,
5
],
[
1746412461.0344138,
20,
1,
5
],
[
1746412474.7176878,
20,
1,
5
],
[
1746412488.9463215,
20,
1,
5
],
[
1746412503.0306995,
20,
1,
5
],
[
1746412518.0616233,
20,
1,
5
],
[
1746412533.6085238,
20,
1,
5
],
[
1746412548.1156626,
20,
1,
5
],
[
1746412581.6277142,
20,
0,
0
],
[
1746413344.6379538,
20,
0,
0
],
[
1746413345.2515802,
20,
0,
0
],
[
1746413348.4039323,
20,
1,
5
],
[
1746413359.2213218,
20,
1,
5
],
[
1746414152.7509758,
20,
1,
5
],
[
1746414153.4891615,
20,
1,
5
],
[
1746414155.6433682,
20,
2,
10
],
[
1746414171.915563,
20,
2,
10
],
[
1746415127.0157237,
20,
2,
10
],
[
1746415127.6988037,
20,
2,
10
],
[
1746415129.7002492,
20,
3,
15
],
[
1746415150.481571,
20,
3,
15
],
[
1746416190.8555684,
20,
3,
15
],
[
1746416191.606598,
20,
3,
15
],
[
1746416193.5986555,
20,
4,
20
],
[
1746416204.7755291,
20,
4,
20
],
[
1746416222.4622893,
20,
3,
15
],
[
1746416222.6651943,
20,
3,
15
],
[
1746417413.6216164,
20,
3,
15
],
[
1746417414.4150643,
20,
3,
15
],
[
1746417416.595602,
20,
4,
20
],
[
1746417443.7876673,
20,
4,
20
],
[
1746418519.5072393,
20,
4,
20
],
[
1746418520.3944328,
20,
4,
20
],
[
1746418522.5794053,
20,
5,
25
],
[
1746418553.7581007,
20,
5,
25
],
[
1746419845.5256214,
20,
5,
25
],
[
1746419846.4282088,
20,
5,
25
],
[
1746419848.5467508,
20,
6,
30
],
[
1746419885.8865774,
20,
6,
30
],
[
1746420908.9677255,
20,
6,
30
],
[
1746420909.7093885,
20,
6,
30
],
[
1746420911.624151,
20,
7,
35
],
[
1746420927.533899,
20,
7,
35
],
[
1746420970.8551977,
20,
6,
30
],
[
1746420971.013326,
20,
6,
30
],
[
1746422335.9851367,
20,
6,
30
],
[
1746422336.6581361,
20,
6,
30
],
[
1746422338.5546086,
20,
7,
35
],
[
1746422354.3919625,
20,
7,
35
],
[
1746422396.9928157,
20,
6,
30
],
[
1746422397.1635616,
20,
6,
30
],
[
1746423924.499468,
20,
6,
30
],
[
1746423925.416201,
20,
6,
30
],
[
1746423927.6578434,
20,
7,
35
],
[
1746423943.4866269,
20,
7,
35
],
[
1746423980.1589787,
20,
6,
30
],
[
1746423992.9678726,
20,
5,
25
],
[
1746423993.130364,
20,
5,
25
],
[
1746425357.2931097,
20,
5,
25
],
[
1746425358.0642068,
20,
5,
25
],
[
1746425360.3827302,
20,
6,
30
],
[
1746425376.2605245,
20,
6,
30
],
[
1746425416.0721707,
20,
5,
25
],
[
1746425416.2389836,
20,
5,
25
],
[
1746426720.2274346,
20,
5,
25
],
[
1746426720.9645991,
20,
5,
25
],
[
1746426723.4289076,
20,
6,
30
],
[
1746426739.2557337,
20,
6,
30
],
[
1746426770.4022787,
20,
5,
25
],
[
1746426781.7289915,
20,
4,
20
],
[
1746426781.9332006,
20,
4,
20
],
[
1746428235.283582,
20,
4,
20
],
[
1746428236.0532334,
20,
4,
20
],
[
1746428237.9561148,
20,
5,
25
],
[
1746428253.8097289,
20,
5,
25
],
[
1746428277.9974594,
20,
4,
20
],
[
1746428304.4056528,
20,
3,
15
],
[
1746428304.5449684,
20,
3,
15
],
[
1746429658.179056,
20,
3,
15
],
[
1746429658.9023116,
20,
3,
15
],
[
1746429660.7471528,
20,
4,
20
],
[
1746429676.6289809,
20,
4,
20
],
[
1746429707.0886252,
20,
3,
15
],
[
1746429707.2438788,
20,
3,
15
],
[
1746431223.3965623,
20,
3,
15
],
[
1746431224.4076188,
20,
3,
15
],
[
1746431226.4411337,
20,
4,
20
],
[
1746431251.5414886,
20,
4,
20
],
[
1746432684.7870324,
20,
4,
20
],
[
1746432685.2341692,
20,
4,
20
],
[
1746432687.1873293,
20,
5,
25
],
[
1746432703.098846,
20,
5,
25
],
[
1746432723.4863467,
20,
4,
20
],
[
1746432739.280385,
20,
3,
15
],
[
1746432739.4017625,
20,
3,
15
],
[
1746433834.079432,
20,
3,
15
],
[
1746433834.3884985,
20,
3,
15
],
[
1746433836.0073726,
20,
4,
20
],
[
1746433858.2512436,
20,
4,
20
],
[
1746434934.4530654,
20,
4,
20
],
[
1746434935.2206144,
20,
4,
20
],
[
1746434937.183517,
20,
5,
25
],
[
1746434965.8309007,
20,
5,
25
],
[
1746435944.4470253,
20,
5,
25
],
[
1746435945.2257657,
20,
5,
25
],
[
1746435947.1314118,
20,
6,
30
],
[
1746435963.2505367,
20,
6,
30
],
[
1746435985.8853662,
20,
5,
25
],
[
1746436001.1202915,
20,
4,
20
],
[
1746436001.219752,
20,
4,
20
],
[
1746436776.4137528,
20,
4,
20
],
[
1746436777.145281,
20,
4,
20
],
[
1746436778.776616,
20,
5,
25
],
[
1746436807.2856784,
20,
5,
25
],
[
1746436837.0313194,
20,
5,
25
],
[
1746436869.9652424,
20,
5,
25
],
[
1746436902.9491348,
20,
5,
25
],
[
1746436935.2430763,
20,
4,
20
],
[
1746436963.149039,
20,
4,
20
],
[
1746436992.4895945,
20,
4,
20
],
[
1746437020.5625234,
20,
4,
20
],
[
1746437048.4020834,
20,
4,
20
],
[
1746437075.4440525,
20,
4,
20
],
[
1746437103.7388694,
20,
4,
20
],
[
1746437132.3283515,
20,
4,
20
],
[
1746437160.760846,
20,
4,
20
],
[
1746437188.9239228,
20,
4,
20
],
[
1746437216.9287584,
20,
4,
20
],
[
1746437244.7026205,
20,
4,
20
],
[
1746437272.514621,
20,
4,
20
],
[
1746437298.1162941,
20,
4,
20
],
[
1746437325.0539286,
20,
4,
20
],
[
1746437353.4419768,
20,
4,
20
],
[
1746437381.9371443,
20,
4,
20
],
[
1746437408.3431935,
20,
4,
20
],
[
1746437436.121817,
20,
4,
20
],
[
1746437464.732065,
20,
4,
20
],
[
1746437491.0249622,
20,
4,
20
],
[
1746437516.2535238,
20,
4,
20
],
[
1746437542.9029799,
20,
4,
20
],
[
1746437570.1126733,
20,
4,
20
],
[
1746437595.6589878,
20,
4,
20
],
[
1746437623.4614284,
20,
4,
20
],
[
1746437651.8539894,
20,
4,
20
],
[
1746437678.96607,
20,
4,
20
],
[
1746437706.2242372,
20,
4,
20
],
[
1746437731.7840018,
20,
4,
20
],
[
1746437758.6374738,
20,
4,
20
],
[
1746437784.9119163,
20,
4,
20
],
[
1746437813.3349168,
20,
4,
20
],
[
1746437842.0627725,
20,
4,
20
],
[
1746437870.1149662,
20,
4,
20
],
[
1746437897.5481071,
20,
4,
20
],
[
1746437924.339949,
20,
4,
20
],
[
1746437951.6862795,
20,
4,
20
],
[
1746437979.1036437,
20,
4,
20
],
[
1746438006.4328947,
20,
4,
20
],
[
1746438033.252967,
20,
4,
20
],
[
1746438061.517314,
20,
4,
20
],
[
1746438089.5753088,
20,
4,
20
],
[
1746438116.5435712,
20,
4,
20
],
[
1746438144.2567902,
20,
4,
20
],
[
1746438171.4522767,
20,
4,
20
],
[
1746438198.503525,
20,
4,
20
],
[
1746438222.4998758,
20,
4,
20
],
[
1746438247.2713816,
20,
4,
20
],
[
1746438273.7914615,
20,
4,
20
],
[
1746438301.2534351,
20,
4,
20
],
[
1746438328.0328937,
20,
4,
20
],
[
1746438355.2255895,
20,
4,
20
],
[
1746438381.8894048,
20,
4,
20
],
[
1746438407.2087982,
20,
4,
20
],
[
1746438433.3559902,
20,
4,
20
],
[
1746438461.2912989,
20,
4,
20
],
[
1746438489.417079,
20,
4,
20
],
[
1746438517.3532712,
20,
4,
20
],
[
1746438545.6826546,
20,
4,
20
],
[
1746438573.1341095,
20,
4,
20
],
[
1746438601.5085163,
20,
4,
20
],
[
1746438629.092702,
20,
4,
20
],
[
1746438656.2662923,
20,
4,
20
],
[
1746438683.8410943,
20,
4,
20
],
[
1746438711.6538336,
20,
4,
20
],
[
1746438738.4872615,
20,
4,
20
],
[
1746438766.1866574,
20,
4,
20
],
[
1746438793.7420678,
20,
4,
20
],
[
1746438821.8740673,
20,
4,
20
],
[
1746438849.056585,
20,
4,
20
],
[
1746438876.3022146,
20,
4,
20
],
[
1746438903.9085627,
20,
4,
20
],
[
1746438931.201229,
20,
4,
20
],
[
1746438959.2027838,
20,
4,
20
],
[
1746438988.5990112,
20,
4,
20
],
[
1746439016.2814147,
20,
4,
20
],
[
1746439045.3906083,
20,
4,
20
],
[
1746439073.9662352,
20,
4,
20
],
[
1746439101.8402627,
20,
4,
20
],
[
1746439127.889004,
20,
4,
20
],
[
1746439155.2805595,
20,
4,
20
],
[
1746439184.2958262,
20,
4,
20
],
[
1746439212.2697883,
20,
4,
20
],
[
1746439240.8611526,
20,
4,
20
],
[
1746439268.9488616,
20,
4,
20
],
[
1746439297.9651513,
20,
4,
20
],
[
1746439326.076435,
20,
4,
20
],
[
1746439355.4094827,
20,
4,
20
],
[
1746439383.9469166,
20,
4,
20
],
[
1746439412.6527445,
20,
4,
20
],
[
1746439442.5320435,
20,
4,
20
],
[
1746439470.5323682,
20,
4,
20
],
[
1746439498.9116628,
20,
4,
20
],
[
1746439527.3215322,
20,
4,
20
],
[
1746439557.0320263,
20,
4,
20
],
[
1746439583.4237149,
20,
4,
20
],
[
1746439609.8246825,
20,
4,
20
],
[
1746439637.163097,
20,
4,
20
],
[
1746439664.5634167,
20,
4,
20
],
[
1746439691.4531837,
20,
4,
20
],
[
1746439718.2876663,
20,
4,
20
],
[
1746439746.680366,
20,
4,
20
],
[
1746439773.6123238,
20,
4,
20
],
[
1746439801.3035204,
20,
4,
20
],
[
1746439830.2145412,
20,
4,
20
],
[
1746439860.4018073,
20,
4,
20
],
[
1746439891.8149412,
20,
4,
20
],
[
1746439923.4280093,
20,
4,
20
],
[
1746439954.985932,
20,
4,
20
],
[
1746439986.7300167,
20,
4,
20
],
[
1746440018.1075428,
20,
4,
20
],
[
1746440049.5700266,
20,
4,
20
],
[
1746440081.7943804,
20,
4,
20
],
[
1746440111.988842,
20,
4,
20
],
[
1746440143.8425086,
20,
4,
20
],
[
1746440175.70407,
20,
4,
20
],
[
1746440207.5102038,
20,
4,
20
],
[
1746440237.883774,
20,
4,
20
],
[
1746440269.8165221,
20,
4,
20
],
[
1746440302.395568,
20,
4,
20
],
[
1746440332.4607167,
20,
4,
20
],
[
1746440364.7443593,
20,
4,
20
],
[
1746440396.506816,
20,
3,
15
],
[
1746440422.0293312,
20,
3,
15
],
[
1746440447.343351,
20,
3,
15
],
[
1746440473.2230961,
20,
3,
15
],
[
1746440498.9608784,
20,
3,
15
],
[
1746440525.1561508,
20,
3,
15
],
[
1746440551.280519,
20,
3,
15
],
[
1746440577.5730596,
20,
3,
15
],
[
1746440604.5165477,
20,
3,
15
],
[
1746440630.5824354,
20,
3,
15
],
[
1746440656.911668,
20,
3,
15
],
[
1746440684.5408566,
20,
3,
15
],
[
1746440710.1982627,
20,
3,
15
],
[
1746440736.4917495,
20,
3,
15
],
[
1746440764.7815316,
20,
3,
15
],
[
1746440791.0745254,
20,
3,
15
],
[
1746440816.1292815,
20,
3,
15
],
[
1746440841.057229,
20,
3,
15
],
[
1746440866.6402864,
20,
3,
15
],
[
1746440892.6743157,
20,
3,
15
],
[
1746440918.001,
20,
3,
15
],
[
1746440943.2011914,
20,
3,
15
],
[
1746440968.108438,
20,
3,
15
],
[
1746440992.8482728,
20,
3,
15
],
[
1746441016.347384,
20,
3,
15
],
[
1746441041.2700543,
20,
3,
15
],
[
1746441066.9006197,
20,
3,
15
],
[
1746441091.7989488,
20,
3,
15
],
[
1746441118.1772697,
20,
3,
15
],
[
1746441143.1167428,
20,
3,
15
],
[
1746441168.0150435,
20,
3,
15
],
[
1746441194.2243454,
20,
3,
15
],
[
1746441221.071959,
20,
3,
15
],
[
1746441248.1702142,
20,
3,
15
],
[
1746441274.5344925,
20,
3,
15
],
[
1746441300.8978574,
20,
3,
15
],
[
1746441325.96016,
20,
3,
15
],
[
1746441352.1674519,
20,
3,
15
],
[
1746441378.4544806,
20,
3,
15
],
[
1746441404.2200596,
20,
3,
15
],
[
1746441430.1261046,
20,
3,
15
],
[
1746441456.6386938,
20,
3,
15
],
[
1746441482.5761807,
20,
3,
15
],
[
1746441508.2862666,
20,
3,
15
],
[
1746441534.3111687,
20,
3,
15
],
[
1746441560.3811057,
20,
3,
15
],
[
1746441585.934513,
20,
3,
15
],
[
1746441612.648987,
20,
2,
10
],
[
1746441633.5399668,
20,
2,
10
],
[
1746441654.8296852,
20,
2,
10
],
[
1746441674.9638155,
20,
2,
10
],
[
1746441696.3306513,
20,
2,
10
],
[
1746441717.945083,
20,
2,
10
],
[
1746441738.947008,
20,
2,
10
],
[
1746441760.531286,
20,
2,
10
],
[
1746441781.0717196,
20,
2,
10
],
[
1746441802.591563,
20,
2,
10
],
[
1746441823.2996104,
20,
2,
10
],
[
1746441845.153252,
20,
2,
10
],
[
1746441866.0166903,
20,
2,
10
],
[
1746441888.0198464,
20,
2,
10
],
[
1746441908.4621775,
20,
2,
10
],
[
1746441930.2191513,
20,
2,
10
],
[
1746441950.8379068,
20,
2,
10
],
[
1746441972.827086,
20,
2,
10
],
[
1746441993.796115,
20,
2,
10
],
[
1746442014.2581916,
20,
2,
10
],
[
1746442036.0185716,
20,
2,
10
],
[
1746442056.506278,
20,
2,
10
],
[
1746442078.526045,
20,
2,
10
],
[
1746442099.0934017,
20,
2,
10
],
[
1746442119.686912,
20,
2,
10
],
[
1746442140.080697,
20,
2,
10
],
[
1746442161.994077,
20,
2,
10
],
[
1746442182.6899076,
20,
2,
10
],
[
1746442203.3198335,
20,
2,
10
],
[
1746442225.868475,
20,
2,
10
],
[
1746442246.9754288,
20,
2,
10
],
[
1746442267.919328,
20,
2,
10
],
[
1746442288.1836014,
20,
2,
10
],
[
1746442308.204867,
20,
2,
10
],
[
1746442329.8415601,
20,
2,
10
],
[
1746442349.7767262,
20,
2,
10
],
[
1746442370.1380618,
20,
2,
10
],
[
1746442389.2429817,
20,
2,
10
],
[
1746442410.1716092,
20,
2,
10
],
[
1746442431.2657807,
20,
2,
10
],
[
1746442452.0747716,
20,
2,
10
],
[
1746442473.1734724,
20,
2,
10
],
[
1746442495.5268478,
20,
2,
10
],
[
1746442516.336769,
20,
2,
10
],
[
1746442537.155991,
20,
2,
10
],
[
1746442558.7056491,
20,
2,
10
],
[
1746442579.7003353,
20,
2,
10
],
[
1746442600.4942586,
20,
2,
10
],
[
1746442621.251873,
20,
2,
10
],
[
1746442641.9090645,
20,
2,
10
],
[
1746442662.2805014,
20,
2,
10
],
[
1746442682.7989247,
20,
2,
10
],
[
1746442703.8844416,
20,
2,
10
],
[
1746442724.6395316,
20,
2,
10
],
[
1746442745.561762,
20,
2,
10
],
[
1746442766.5201242,
20,
2,
10
],
[
1746442787.8642719,
20,
2,
10
],
[
1746442809.571935,
20,
2,
10
],
[
1746442831.6911676,
20,
2,
10
],
[
1746442851.3957322,
20,
2,
10
],
[
1746442872.3262188,
20,
2,
10
],
[
1746442892.571998,
20,
2,
10
],
[
1746442912.6267903,
20,
2,
10
],
[
1746442932.356394,
20,
2,
10
],
[
1746442952.7176027,
20,
2,
10
],
[
1746442973.4067433,
20,
2,
10
],
[
1746442994.7417092,
20,
2,
10
],
[
1746443014.0446317,
20,
2,
10
],
[
1746443035.0960782,
20,
2,
10
],
[
1746443056.1355727,
20,
2,
10
],
[
1746443077.160929,
20,
2,
10
],
[
1746443098.0828915,
20,
2,
10
],
[
1746443117.5807128,
20,
2,
10
],
[
1746443138.7639966,
20,
2,
10
],
[
1746443159.9875555,
20,
2,
10
],
[
1746443181.3203115,
20,
2,
10
],
[
1746443200.6628902,
20,
2,
10
],
[
1746443222.1514359,
20,
2,
10
],
[
1746443243.648333,
20,
2,
10
],
[
1746443265.1292548,
20,
2,
10
],
[
1746443284.5420291,
20,
2,
10
],
[
1746443306.1750162,
20,
2,
10
],
[
1746443327.5019565,
20,
2,
10
],
[
1746443347.081359,
20,
2,
10
],
[
1746443368.4802368,
20,
2,
10
],
[
1746443389.9860003,
20,
2,
10
],
[
1746443412.3620193,
20,
1,
5
],
[
1746443428.0125296,
20,
1,
5
],
[
1746443443.6589243,
20,
1,
5
],
[
1746443459.2235777,
20,
1,
5
],
[
1746443474.908894,
20,
1,
5
],
[
1746443490.6327453,
20,
1,
5
],
[
1746443506.369232,
20,
1,
5
],
[
1746443522.0413334,
20,
1,
5
],
[
1746443537.6835768,
20,
1,
5
],
[
1746443555.9540408,
20,
1,
5
],
[
1746443571.7093928,
20,
1,
5
],
[
1746443587.441859,
20,
1,
5
],
[
1746443603.2223148,
20,
1,
5
],
[
1746443618.9403732,
20,
1,
5
],
[
1746443635.1764758,
20,
1,
5
],
[
1746443651.235367,
20,
1,
5
],
[
1746443667.0919633,
20,
1,
5
],
[
1746443682.8686838,
20,
1,
5
],
[
1746443698.5341196,
20,
1,
5
],
[
1746443714.3240027,
20,
1,
5
],
[
1746443732.2179496,
20,
1,
5
],
[
1746443747.9830337,
20,
1,
5
],
[
1746443763.7383604,
20,
1,
5
],
[
1746443779.4641075,
20,
1,
5
],
[
1746443795.4868553,
20,
1,
5
],
[
1746443811.3939965,
20,
1,
5
],
[
1746443827.2025466,
20,
1,
5
],
[
1746443842.8778505,
20,
1,
5
],
[
1746443858.4721642,
20,
1,
5
],
[
1746443874.1217966,
20,
1,
5
],
[
1746443890.0653117,
20,
1,
5
],
[
1746443905.7443573,
20,
1,
5
],
[
1746443921.5023954,
20,
1,
5
],
[
1746443937.4363148,
20,
1,
5
],
[
1746443953.393906,
20,
1,
5
],
[
1746443969.3029683,
20,
1,
5
],
[
1746443985.202499,
20,
1,
5
],
[
1746444001.1757956,
20,
1,
5
],
[
1746444037.3672793,
20,
0,
0
],
[
1746445037.589688,
20,
0,
0
],
[
1746445038.114195,
20,
0,
0
],
[
1746445040.540185,
20,
1,
5
],
[
1746445050.380207,
20,
1,
5
],
[
1746446131.5318053,
20,
1,
5
],
[
1746446132.4470055,
20,
1,
5
],
[
1746446134.4943516,
20,
2,
10
],
[
1746446149.5266135,
20,
2,
10
],
[
1746447500.3994913,
20,
2,
10
],
[
1746447501.376381,
20,
2,
10
],
[
1746447503.4809597,
20,
3,
15
],
[
1746447524.9896712,
20,
3,
15
],
[
1746448672.7914555,
20,
3,
15
],
[
1746448673.4913902,
20,
3,
15
],
[
1746448675.446531,
20,
4,
20
],
[
1746448702.8282337,
20,
4,
20
],
[
1746449828.4452713,
20,
4,
20
],
[
1746449829.3765726,
20,
4,
20
],
[
1746449831.410871,
20,
5,
25
],
[
1746449847.676612,
20,
5,
25
],
[
1746449865.4446964,
20,
4,
20
],
[
1746449865.892857,
20,
4,
20
],
[
1746451717.790303,
20,
4,
20
],
[
1746451718.4779203,
20,
4,
20
],
[
1746451720.4090319,
20,
5,
25
],
[
1746451751.3803453,
20,
5,
25
],
[
1746453044.818089,
20,
5,
25
],
[
1746453045.4135654,
20,
5,
25
],
[
1746453047.3308313,
20,
6,
30
],
[
1746453063.2161994,
20,
6,
30
],
[
1746453086.3142664,
20,
5,
25
],
[
1746453102.4333618,
20,
4,
20
],
[
1746453102.5599318,
20,
4,
20
],
[
1746454092.7262235,
20,
4,
20
],
[
1746454093.3783839,
20,
4,
20
],
[
1746454095.3996851,
20,
5,
25
],
[
1746454111.1520422,
20,
5,
25
],
[
1746454143.8565032,
20,
4,
20
],
[
1746454144.0136874,
20,
4,
20
],
[
1746455047.6200585,
20,
4,
20
],
[
1746455048.3498409,
20,
4,
20
],
[
1746455050.3893635,
20,
5,
25
],
[
1746455066.15049,
20,
5,
25
],
[
1746455085.766959,
20,
4,
20
],
[
1746455103.1546228,
20,
3,
15
],
[
1746455103.315412,
20,
3,
15
],
[
1746456485.4954233,
20,
3,
15
],
[
1746456486.4034865,
20,
3,
15
],
[
1746456488.4771476,
20,
4,
20
],
[
1746456514.70979,
20,
4,
20
],
[
1746458248.1473536,
20,
4,
20
],
[
1746458248.9142096,
20,
4,
20
],
[
1746458250.7279484,
20,
5,
25
],
[
1746458266.6381066,
20,
5,
25
],
[
1746458301.662318,
20,
4,
20
],
[
1746458301.831326,
20,
4,
20
],
[
1746459815.2767801,
20,
4,
20
],
[
1746459816.0589209,
20,
4,
20
],
[
1746459817.9814265,
20,
5,
25
],
[
1746459851.3848994,
20,
5,
25
],
[
1746461290.3990343,
20,
5,
25
],
[
1746461291.3958201,
20,
5,
25
],
[
1746461293.4840162,
20,
6,
30
],
[
1746461309.3216982,
20,
6,
30
],
[
1746461349.4178183,
20,
5,
25
],
[
1746461349.5696273,
20,
5,
25
],
[
1746463230.9033322,
20,
5,
25
],
[
1746463231.650487,
20,
5,
25
],
[
1746463233.5298011,
20,
6,
30
],
[
1746463249.4161427,
20,
6,
30
],
[
1746463281.2278357,
20,
5,
25
],
[
1746463293.1961348,
20,
4,
20
],
[
1746463293.3435094,
20,
4,
20
],
[
1746464503.9795952,
20,
4,
20
],
[
1746464504.7708101,
20,
4,
20
],
[
1746464506.6588345,
20,
5,
25
],
[
1746464522.5843358,
20,
5,
25
],
[
1746464557.6296933,
20,
4,
20
],
[
1746464557.7954507,
20,
4,
20
],
[
1746465658.5208094,
20,
4,
20
],
[
1746465659.4152474,
20,
4,
20
],
[
1746465661.484593,
20,
5,
25
],
[
1746465677.2755513,
20,
5,
25
],
[
1746465711.7789884,
20,
4,
20
],
[
1746465711.9235,
20,
4,
20
],
[
1746467008.2576642,
20,
4,
20
],
[
1746467009.0363677,
20,
4,
20
],
[
1746467010.933492,
20,
5,
25
],
[
1746467043.9487605,
20,
5,
25
],
[
1746468253.2283463,
20,
5,
25
],
[
1746468253.9981208,
20,
5,
25
],
[
1746468255.8680792,
20,
6,
30
],
[
1746468271.6875813,
20,
6,
30
],
[
1746468311.2633767,
20,
5,
25
],
[
1746468311.426765,
20,
5,
25
],
[
1746469708.4287665,
20,
5,
25
],
[
1746469709.4186134,
20,
5,
25
],
[
1746469711.5013127,
20,
6,
30
],
[
1746469727.3530014,
20,
6,
30
],
[
1746469753.1870408,
20,
5,
25
],
[
1746469762.6388166,
20,
4,
20
],
[
1746469774.5223157,
20,
3,
15
],
[
1746469774.679747,
20,
3,
15
],
[
1746471314.999264,
20,
3,
15
],
[
1746471315.7557695,
20,
3,
15
],
[
1746471317.653824,
20,
4,
20
],
[
1746471344.4691956,
20,
4,
20
],
[
1746471372.2642283,
20,
4,
20
],
[
1746471404.6599145,
20,
4,
20
],
[
1746471437.0886762,
20,
4,
20
],
[
1746471468.4742172,
20,
4,
20
],
[
1746471501.435483,
20,
4,
20
],
[
1746471533.8270035,
20,
4,
20
],
[
1746471565.222153,
20,
4,
20
],
[
1746471597.9231095,
20,
4,
20
],
[
1746471629.771849,
20,
4,
20
],
[
1746471663.2680068,
20,
4,
20
],
[
1746471684.838154,
20,
4,
20
],
[
1746471697.353225,
20,
3,
15
],
[
1746471698.0132556,
20,
3,
15
],
[
1746471725.3000743,
20,
3,
15
],
[
1746471752.2512424,
20,
3,
15
],
[
1746471779.887281,
20,
3,
15
],
[
1746471805.840933,
20,
3,
15
],
[
1746471831.9640093,
20,
3,
15
],
[
1746471859.4542477,
20,
3,
15
],
[
1746471885.5930243,
20,
3,
15
],
[
1746471912.2459455,
20,
3,
15
],
[
1746471938.5052433,
20,
3,
15
],
[
1746471966.0263817,
20,
3,
15
],
[
1746471992.589696,
20,
3,
15
],
[
1746472019.2321265,
20,
3,
15
],
[
1746472045.802335,
20,
3,
15
],
[
1746472072.7231536,
20,
3,
15
],
[
1746472099.6684592,
20,
2,
10
],
[
1746472120.6312203,
20,
2,
10
],
[
1746472143.3516695,
20,
2,
10
],
[
1746472164.6128387,
20,
2,
10
],
[
1746472185.9719853,
20,
2,
10
],
[
1746472207.4273963,
20,
2,
10
],
[
1746472228.7639565,
20,
2,
10
],
[
1746472251.639551,
20,
2,
10
],
[
1746472272.5668533,
20,
2,
10
],
[
1746472293.476378,
20,
2,
10
],
[
1746472314.4698277,
20,
2,
10
],
[
1746472335.8075578,
20,
2,
10
],
[
1746472358.7485297,
20,
2,
10
],
[
1746472380.2492075,
20,
2,
10
],
[
1746472402.2595477,
20,
2,
10
],
[
1746472423.5809455,
20,
2,
10
],
[
1746472444.9078918,
20,
2,
10
],
[
1746472464.5183828,
20,
2,
10
],
[
1746472484.4570835,
20,
2,
10
],
[
1746472503.8281426,
20,
2,
10
],
[
1746472523.831288,
20,
2,
10
],
[
1746472544.659714,
20,
2,
10
],
[
1746472565.3523388,
20,
2,
10
],
[
1746472586.1576653,
20,
2,
10
],
[
1746472607.567278,
20,
2,
10
],
[
1746472629.286782,
20,
2,
10
],
[
1746472650.6108956,
20,
2,
10
],
[
1746472672.407733,
20,
2,
10
],
[
1746472694.2534797,
20,
2,
10
],
[
1746472716.2604995,
20,
2,
10
],
[
1746472738.2362673,
20,
2,
10
],
[
1746472759.9285164,
20,
2,
10
],
[
1746472781.578216,
20,
2,
10
],
[
1746472803.4450738,
20,
2,
10
],
[
1746472825.3813949,
20,
2,
10
],
[
1746472847.482039,
20,
2,
10
],
[
1746472867.7955973,
20,
2,
10
],
[
1746472890.1084023,
20,
2,
10
],
[
1746472912.0541625,
20,
2,
10
],
[
1746472933.9649496,
20,
2,
10
],
[
1746472955.8777726,
20,
2,
10
],
[
1746472978.3627264,
20,
2,
10
],
[
1746473000.3744574,
20,
2,
10
],
[
1746473020.3647883,
20,
2,
10
],
[
1746473042.2429914,
20,
2,
10
],
[
1746473064.2649093,
20,
2,
10
],
[
1746473086.35029,
20,
2,
10
],
[
1746473106.6769989,
20,
2,
10
],
[
1746473129.3627055,
20,
2,
10
],
[
1746473151.6840272,
20,
2,
10
],
[
1746473173.9590192,
20,
2,
10
],
[
1746473196.1607268,
20,
2,
10
],
[
1746473216.5600984,
20,
2,
10
],
[
1746473239.0300965,
20,
2,
10
],
[
1746473261.211664,
20,
2,
10
],
[
1746473283.1157503,
20,
2,
10
],
[
1746473303.701335,
20,
1,
5
],
[
1746473321.7082314,
20,
1,
5
],
[
1746473337.7157366,
20,
1,
5
],
[
1746473352.6278224,
20,
1,
5
],
[
1746473366.921234,
20,
1,
5
],
[
1746473381.740383,
20,
1,
5
],
[
1746473396.237091,
20,
1,
5
],
[
1746473412.0264091,
20,
1,
5
],
[
1746473427.738549,
20,
1,
5
],
[
1746473444.6022544,
20,
1,
5
],
[
1746473459.8424547,
20,
1,
5
],
[
1746473476.0883896,
20,
1,
5
],
[
1746473492.685716,
20,
1,
5
],
[
1746473509.0773015,
20,
1,
5
],
[
1746473525.1288893,
20,
1,
5
],
[
1746473541.268773,
20,
1,
5
],
[
1746473557.5544784,
20,
1,
5
],
[
1746473573.7443306,
20,
1,
5
],
[
1746473591.9331987,
20,
1,
5
],
[
1746473607.9560304,
20,
1,
5
],
[
1746473624.0189686,
20,
1,
5
],
[
1746473640.29572,
20,
1,
5
],
[
1746473656.359864,
20,
1,
5
],
[
1746473672.4026644,
20,
1,
5
],
[
1746473688.4068701,
20,
1,
5
],
[
1746473704.721617,
20,
1,
5
],
[
1746473721.2629747,
20,
1,
5
],
[
1746473738.0699456,
20,
1,
5
],
[
1746473756.5709293,
20,
1,
5
],
[
1746473772.8488655,
20,
1,
5
],
[
1746473789.0181618,
20,
1,
5
],
[
1746473805.1997817,
20,
1,
5
],
[
1746473821.4127498,
20,
1,
5
],
[
1746473837.4329717,
20,
1,
5
],
[
1746473853.5862513,
20,
1,
5
],
[
1746473869.7665193,
20,
1,
5
],
[
1746473885.8793638,
20,
1,
5
],
[
1746473902.0346923,
20,
1,
5
],
[
1746473918.3844736,
20,
1,
5
],
[
1746473934.718888,
20,
1,
5
],
[
1746473951.244164,
20,
1,
5
],
[
1746473967.525289,
20,
1,
5
],
[
1746473983.7326572,
20,
1,
5
],
[
1746474000.310428,
20,
1,
5
],
[
1746474016.2120616,
20,
1,
5
],
[
1746474033.9653313,
20,
1,
5
],
[
1746474049.8818026,
20,
1,
5
],
[
1746474065.7147467,
20,
1,
5
],
[
1746474081.5877955,
20,
1,
5
],
[
1746474096.4345465,
20,
1,
5
],
[
1746474111.4346044,
20,
1,
5
],
[
1746474126.4053488,
20,
1,
5
],
[
1746474141.2210214,
20,
1,
5
],
[
1746474156.3961332,
20,
1,
5
],
[
1746474172.0485961,
20,
1,
5
],
[
1746474189.537661,
20,
1,
5
],
[
1746474205.1504536,
20,
1,
5
],
[
1746474221.2467482,
20,
1,
5
],
[
1746474236.8030064,
20,
1,
5
],
[
1746474252.7238784,
20,
1,
5
],
[
1746474268.7444313,
20,
1,
5
],
[
1746474284.3798747,
20,
1,
5
],
[
1746474300.136587,
20,
1,
5
],
[
1746474316.0798032,
20,
1,
5
],
[
1746474332.5998952,
20,
1,
5
],
[
1746474348.2550204,
20,
1,
5
],
[
1746474363.8491774,
20,
1,
5
],
[
1746474380.7820332,
20,
1,
5
],
[
1746474396.663173,
20,
1,
5
],
[
1746474412.5575035,
20,
1,
5
],
[
1746474429.339448,
20,
1,
5
],
[
1746474445.1824512,
20,
1,
5
],
[
1746474462.09587,
20,
1,
5
],
[
1746474478.1227257,
20,
1,
5
],
[
1746474494.0121849,
20,
1,
5
],
[
1746474529.733794,
20,
0,
0
],
[
1746475659.770824,
20,
0,
0
],
[
1746475660.4450753,
20,
0,
0
],
[
1746475662.5437722,
20,
1,
5
],
[
1746475673.5012763,
20,
1,
5
],
[
1746476644.9977517,
20,
1,
5
],
[
1746476645.5881882,
20,
1,
5
],
[
1746476647.3544745,
20,
2,
10
],
[
1746476662.886559,
20,
2,
10
],
[
1746477609.500455,
20,
2,
10
],
[
1746477610.357536,
20,
2,
10
],
[
1746477612.4413455,
20,
3,
15
],
[
1746477635.431787,
20,
3,
15
],
[
1746478561.8264015,
20,
3,
15
],
[
1746478562.5693457,
20,
3,
15
],
[
1746478564.436286,
20,
4,
20
],
[
1746478576.9503126,
20,
4,
20
],
[
1746478596.0241818,
20,
3,
15
],
[
1746478596.189037,
20,
3,
15
],
[
1746479709.0128574,
20,
3,
15
],
[
1746479709.767026,
20,
3,
15
],
[
1746479711.6289241,
20,
4,
20
],
[
1746479738.3834686,
20,
4,
20
],
[
1746481153.3251312,
20,
4,
20
],
[
1746481154.3432214,
20,
4,
20
],
[
1746481157.4276881,
20,
5,
25
],
[
1746481175.8091345,
20,
5,
25
],
[
1746481184.4192455,
20,
4,
20
],
[
1746481196.5992208,
20,
3,
15
],
[
1746481196.9044182,
20,
3,
15
],
[
1746482480.1737683,
20,
3,
15
],
[
1746482480.859883,
20,
3,
15
],
[
1746482482.5457497,
20,
4,
20
],
[
1746482506.7732637,
20,
4,
20
],
[
1746483672.0859892,
20,
4,
20
],
[
1746483672.7859383,
20,
4,
20
],
[
1746483674.6506994,
20,
5,
25
],
[
1746483690.4486055,
20,
5,
25
],
[
1746483710.4855018,
20,
4,
20
],
[
1746483728.6832054,
20,
3,
15
],
[
1746483728.8657973,
20,
3,
15
],
[
1746484869.272458,
20,
3,
15
],
[
1746484870.0266519,
20,
3,
15
],
[
1746484871.7956052,
20,
4,
20
],
[
1746484887.4913821,
20,
4,
20
],
[
1746484913.915564,
20,
3,
15
],
[
1746484914.0550807,
20,
3,
15
],
[
1746486117.300098,
20,
3,
15
],
[
1746486118.0295525,
20,
3,
15
],
[
1746486119.837609,
20,
4,
20
],
[
1746486135.6611495,
20,
4,
20
],
[
1746486157.6762164,
20,
3,
15
],
[
1746486169.9915037,
20,
2,
10
],
[
1746486170.1475866,
20,
2,
10
],
[
1746487323.145567,
20,
2,
10
],
[
1746487323.8535948,
20,
2,
10
],
[
1746487325.674656,
20,
3,
15
],
[
1746487347.3683858,
20,
3,
15
],
[
1746488550.0748634,
20,
3,
15
],
[
1746488550.8534229,
20,
3,
15
],
[
1746488552.6596258,
20,
4,
20
],
[
1746488580.6521876,
20,
4,
20
],
[
1746489755.85325,
20,
4,
20
],
[
1746489756.5910265,
20,
4,
20
],
[
1746489758.4767663,
20,
5,
25
],
[
1746489791.7356966,
20,
5,
25
],
[
1746491152.4384122,
20,
5,
25
],
[
1746491153.3925745,
20,
5,
25
],
[
1746491155.525713,
20,
6,
30
],
[
1746491171.481461,
20,
6,
30
],
[
1746491212.6800778,
20,
5,
25
],
[
1746491212.856475,
20,
5,
25
],
[
1746492499.2428389,
20,
5,
25
],
[
1746492499.7847652,
20,
5,
25
],
[
1746492501.4256938,
20,
6,
30
],
[
1746492517.1531808,
20,
6,
30
],
[
1746492557.3592055,
20,
5,
25
],
[
1746492557.5080042,
20,
5,
25
],
[
1746493631.7748008,
20,
5,
25
],
[
1746493632.481229,
20,
5,
25
],
[
1746493634.4474087,
20,
6,
30
],
[
1746493658.8061764,
20,
6,
30
],
[
1746493676.7473395,
20,
5,
25
],
[
1746493676.9739687,
20,
5,
25
],
[
1746494730.6155586,
20,
5,
25
],
[
1746494731.3953156,
20,
5,
25
],
[
1746494733.5079067,
20,
6,
30
],
[
1746494749.3199797,
20,
6,
30
],
[
1746494790.0068588,
20,
5,
25
],
[
1746494790.2100325,
20,
5,
25
],
[
1746495951.0060408,
20,
5,
25
],
[
1746495951.734761,
20,
5,
25
],
[
1746495953.5369563,
20,
6,
30
],
[
1746495969.327616,
20,
6,
30
],
[
1746495995.7229254,
20,
5,
25
],
[
1746496014.0035446,
20,
4,
20
],
[
1746496014.1693678,
20,
4,
20
],
[
1746497189.9968996,
20,
4,
20
],
[
1746497191.7157438,
20,
4,
20
],
[
1746497193.552018,
20,
5,
25
],
[
1746497209.3455937,
20,
5,
25
],
[
1746497244.3131406,
20,
4,
20
],
[
1746497244.457221,
20,
4,
20
],
[
1746498158.342924,
20,
4,
20
],
[
1746498159.2257519,
20,
4,
20
],
[
1746498161.1709116,
20,
5,
25
],
[
1746498192.912162,
20,
5,
25
],
[
1746498226.6720233,
20,
5,
25
],
[
1746498264.9426522,
20,
5,
25
],
[
1746498302.6476047,
20,
5,
25
],
[
1746498340.0877776,
20,
5,
25
],
[
1746498377.2101426,
20,
5,
25
],
[
1746498414.0300126,
20,
5,
25
],
[
1746498450.3641758,
20,
5,
25
],
[
1746498486.2734637,
20,
5,
25
],
[
1746498524.0449197,
20,
4,
20
],
[
1746498556.2503824,
20,
4,
20
],
[
1746498588.2453012,
20,
4,
20
],
[
1746498619.6263409,
20,
4,
20
],
[
1746498652.8142586,
20,
4,
20
],
[
1746498685.1793182,
20,
4,
20
],
[
1746498716.1324089,
20,
4,
20
],
[
1746498749.355014,
20,
4,
20
],
[
1746498782.0644124,
20,
4,
20
],
[
1746498813.0953245,
20,
4,
20
],
[
1746498846.230704,
20,
4,
20
],
[
1746498877.8776276,
20,
4,
20
],
[
1746498911.3959394,
20,
4,
20
],
[
1746498942.9157689,
20,
4,
20
],
[
1746498974.295525,
20,
4,
20
],
[
1746499007.6001003,
20,
4,
20
],
[
1746499039.6169336,
20,
4,
20
],
[
1746499071.6319761,
20,
4,
20
],
[
1746499104.8754919,
20,
4,
20
],
[
1746499136.8133714,
20,
4,
20
],
[
1746499168.855905,
20,
4,
20
],
[
1746499197.7353725,
20,
4,
20
],
[
1746499226.9502635,
20,
4,
20
],
[
1746499258.5026946,
20,
4,
20
],
[
1746499290.6632173,
20,
4,
20
],
[
1746499322.2327673,
20,
4,
20
],
[
1746499352.9671395,
20,
4,
20
],
[
1746499384.898606,
20,
4,
20
],
[
1746499417.0529082,
20,
4,
20
],
[
1746499449.5582187,
20,
4,
20
],
[
1746499482.1377308,
20,
4,
20
],
[
1746499514.3321934,
20,
4,
20
],
[
1746499546.5635462,
20,
4,
20
],
[
1746499578.610776,
20,
4,
20
],
[
1746499610.6006937,
20,
4,
20
],
[
1746499643.3738103,
20,
4,
20
],
[
1746499676.2724154,
20,
4,
20
],
[
1746499707.1456213,
20,
4,
20
],
[
1746499740.2589653,
20,
4,
20
],
[
1746499772.8415554,
20,
4,
20
],
[
1746499805.298947,
20,
4,
20
],
[
1746499838.5408454,
20,
4,
20
],
[
1746499869.5324883,
20,
4,
20
],
[
1746499902.5099597,
20,
4,
20
],
[
1746499934.4128802,
20,
4,
20
],
[
1746499965.0897703,
20,
4,
20
],
[
1746499993.5380297,
20,
4,
20
],
[
1746500022.961182,
20,
4,
20
],
[
1746500055.1711462,
20,
4,
20
],
[
1746500084.9916039,
20,
4,
20
],
[
1746500115.7800598,
20,
4,
20
],
[
1746500146.4511833,
20,
4,
20
],
[
1746500176.2755463,
20,
4,
20
],
[
1746500208.7552745,
20,
4,
20
],
[
1746500240.79625,
20,
4,
20
],
[
1746500273.6207619,
20,
4,
20
],
[
1746500306.3170545,
20,
4,
20
],
[
1746500339.0335875,
20,
4,
20
],
[
1746500370.8625498,
20,
4,
20
],
[
1746500402.093893,
20,
4,
20
],
[
1746500434.0723972,
20,
4,
20
],
[
1746500466.6433764,
20,
4,
20
],
[
1746500497.929394,
20,
4,
20
],
[
1746500529.991016,
20,
4,
20
],
[
1746500562.3588119,
20,
4,
20
],
[
1746500593.4485798,
20,
4,
20
],
[
1746500625.4714522,
20,
4,
20
],
[
1746500658.3826718,
20,
4,
20
],
[
1746500690.118309,
20,
4,
20
],
[
1746500722.4226038,
20,
4,
20
],
[
1746500754.3244364,
20,
4,
20
],
[
1746500784.8559844,
20,
4,
20
],
[
1746500815.3539972,
20,
4,
20
],
[
1746500847.9892383,
20,
4,
20
],
[
1746500881.0363944,
20,
4,
20
],
[
1746500912.9991689,
20,
4,
20
],
[
1746500945.2722318,
20,
4,
20
],
[
1746500976.8910532,
20,
4,
20
],
[
1746501008.0251315,
20,
4,
20
],
[
1746501040.4042325,
20,
4,
20
],
[
1746501072.5958571,
20,
4,
20
],
[
1746501104.9375951,
20,
4,
20
],
[
1746501137.7230623,
20,
4,
20
],
[
1746501169.3329399,
20,
4,
20
],
[
1746501200.8749816,
20,
4,
20
],
[
1746501234.249018,
20,
4,
20
],
[
1746501266.2618997,
20,
3,
15
],
[
1746501293.462984,
20,
3,
15
],
[
1746501319.6171732,
20,
3,
15
],
[
1746501346.8229113,
20,
3,
15
],
[
1746501373.3360317,
20,
3,
15
],
[
1746501400.8474028,
20,
3,
15
],
[
1746501425.4650795,
20,
3,
15
],
[
1746501450.1091125,
20,
3,
15
],
[
1746501473.9814734,
20,
3,
15
],
[
1746501497.9204307,
20,
3,
15
],
[
1746501522.7682304,
20,
3,
15
],
[
1746501545.7353215,
20,
3,
15
],
[
1746501568.1133168,
20,
3,
15
],
[
1746501591.1114097,
20,
3,
15
],
[
1746501615.395486,
20,
3,
15
],
[
1746501638.8147733,
20,
3,
15
],
[
1746501662.8228562,
20,
3,
15
],
[
1746501687.0895715,
20,
3,
15
],
[
1746501711.2622664,
20,
3,
15
],
[
1746501735.4678524,
20,
3,
15
],
[
1746501759.520105,
20,
3,
15
],
[
1746501784.0312264,
20,
3,
15
],
[
1746501809.0136585,
20,
3,
15
],
[
1746501833.5964725,
20,
3,
15
],
[
1746501857.707034,
20,
3,
15
],
[
1746501882.262333,
20,
3,
15
],
[
1746501907.1003902,
20,
3,
15
],
[
1746501929.2394614,
20,
3,
15
],
[
1746501951.2442906,
20,
3,
15
],
[
1746501973.0111833,
20,
3,
15
],
[
1746501997.0607147,
20,
3,
15
],
[
1746502020.950207,
20,
3,
15
],
[
1746502044.4721918,
20,
3,
15
],
[
1746502066.5490406,
20,
3,
15
],
[
1746502089.5458007,
20,
3,
15
],
[
1746502113.899932,
20,
3,
15
],
[
1746502137.1177886,
20,
3,
15
],
[
1746502161.0643325,
20,
3,
15
],
[
1746502185.7070453,
20,
3,
15
],
[
1746502209.2493968,
20,
3,
15
],
[
1746502233.5003045,
20,
3,
15
],
[
1746502257.750857,
20,
3,
15
],
[
1746502280.9155476,
20,
3,
15
],
[
1746502305.3630404,
20,
3,
15
],
[
1746502329.5878727,
20,
3,
15
],
[
1746502352.4643493,
20,
3,
15
],
[
1746502376.606671,
20,
3,
15
],
[
1746502400.2002273,
20,
3,
15
],
[
1746502425.4404852,
20,
3,
15
],
[
1746502448.7958233,
20,
3,
15
],
[
1746502472.2841527,
20,
3,
15
],
[
1746502496.839836,
20,
3,
15
],
[
1746502519.9178174,
20,
3,
15
],
[
1746502544.3524055,
20,
3,
15
],
[
1746502567.5263236,
20,
3,
15
],
[
1746502590.9979837,
20,
3,
15
],
[
1746502616.1010153,
20,
3,
15
],
[
1746502639.9794748,
20,
3,
15
],
[
1746502665.2808614,
20,
3,
15
],
[
1746502688.6578279,
20,
3,
15
],
[
1746502712.2575338,
20,
3,
15
],
[
1746502737.6812408,
20,
3,
15
],
[
1746502762.0658073,
20,
3,
15
],
[
1746502786.0751984,
20,
3,
15
],
[
1746502809.8290453,
20,
3,
15
],
[
1746502835.1573322,
20,
3,
15
],
[
1746502858.7057605,
20,
3,
15
],
[
1746502882.311675,
20,
3,
15
],
[
1746502906.0280862,
20,
3,
15
],
[
1746502931.3435965,
20,
3,
15
],
[
1746502955.3654015,
20,
3,
15
],
[
1746502979.7425828,
20,
3,
15
],
[
1746503002.950529,
20,
3,
15
],
[
1746503025.7619932,
20,
3,
15
],
[
1746503048.5379853,
20,
3,
15
],
[
1746503073.5391014,
20,
3,
15
],
[
1746503097.583106,
20,
3,
15
],
[
1746503122.073062,
20,
3,
15
],
[
1746503145.5090501,
20,
3,
15
],
[
1746503168.7726672,
20,
3,
15
],
[
1746503192.3375263,
20,
3,
15
],
[
1746503215.3778164,
20,
3,
15
],
[
1746503238.7093418,
20,
3,
15
],
[
1746503264.5203693,
20,
3,
15
],
[
1746503288.4980228,
20,
3,
15
],
[
1746503312.6220229,
20,
3,
15
],
[
1746503338.435086,
20,
3,
15
],
[
1746503362.65645,
20,
3,
15
],
[
1746503386.789162,
20,
3,
15
],
[
1746503411.289672,
20,
3,
15
],
[
1746503432.391366,
20,
3,
15
],
[
1746503453.7961864,
20,
3,
15
],
[
1746503475.2052855,
20,
3,
15
],
[
1746503497.8172107,
20,
3,
15
],
[
1746503521.1897376,
20,
3,
15
],
[
1746503545.2405324,
20,
3,
15
],
[
1746503568.7721057,
20,
3,
15
],
[
1746503593.0534356,
20,
3,
15
],
[
1746503617.4431853,
20,
3,
15
],
[
1746503641.3572893,
20,
3,
15
],
[
1746503665.770317,
20,
3,
15
],
[
1746503691.917756,
20,
2,
10
],
[
1746503711.8179755,
20,
2,
10
],
[
1746503731.3434255,
20,
2,
10
],
[
1746503751.4900398,
20,
2,
10
],
[
1746503770.7905972,
20,
2,
10
],
[
1746503790.3367083,
20,
2,
10
],
[
1746503810.3245118,
20,
2,
10
],
[
1746503831.5466793,
20,
2,
10
],
[
1746503851.3445687,
20,
2,
10
],
[
1746503871.2162015,
20,
2,
10
],
[
1746503891.2140434,
20,
2,
10
],
[
1746503914.2286773,
20,
2,
10
],
[
1746503934.2046654,
20,
2,
10
],
[
1746503954.2038324,
20,
2,
10
],
[
1746503974.3481283,
20,
2,
10
],
[
1746503994.0363488,
20,
2,
10
],
[
1746504013.7756681,
20,
2,
10
],
[
1746504033.3474524,
20,
2,
10
],
[
1746504053.5548267,
20,
2,
10
],
[
1746504073.8247373,
20,
2,
10
],
[
1746504093.6722257,
20,
2,
10
],
[
1746504113.4127219,
20,
2,
10
],
[
1746504133.3120487,
20,
2,
10
],
[
1746504152.88585,
20,
2,
10
],
[
1746504172.3162599,
20,
2,
10
],
[
1746504192.396295,
20,
2,
10
],
[
1746504211.4944837,
20,
2,
10
],
[
1746504231.463603,
20,
2,
10
],
[
1746504251.3107905,
20,
2,
10
],
[
1746504271.2832332,
20,
2,
10
],
[
1746504290.7993188,
20,
2,
10
],
[
1746504310.9071116,
20,
2,
10
],
[
1746504330.6186125,
20,
2,
10
],
[
1746504349.7395844,
20,
2,
10
],
[
1746504370.0290823,
20,
2,
10
],
[
1746504390.6012547,
20,
2,
10
],
[
1746504411.3444088,
20,
2,
10
],
[
1746504431.1073587,
20,
2,
10
],
[
1746504451.8143215,
20,
2,
10
],
[
1746504471.561391,
20,
2,
10
],
[
1746504492.0882034,
20,
2,
10
],
[
1746504510.4945934,
20,
2,
10
],
[
1746504529.499541,
20,
2,
10
],
[
1746504547.4278271,
20,
2,
10
],
[
1746504566.5908206,
20,
2,
10
],
[
1746504586.1889966,
20,
2,
10
],
[
1746504606.9576085,
20,
2,
10
],
[
1746504626.5637422,
20,
2,
10
],
[
1746504647.2944067,
20,
2,
10
],
[
1746504667.003204,
20,
2,
10
],
[
1746504688.267224,
20,
2,
10
],
[
1746504708.193016,
20,
2,
10
],
[
1746504728.0053487,
20,
2,
10
],
[
1746504749.1170678,
20,
2,
10
],
[
1746504769.061594,
20,
2,
10
],
[
1746504788.6550395,
20,
2,
10
],
[
1746504809.3869398,
20,
2,
10
],
[
1746504829.4420676,
20,
2,
10
],
[
1746504849.0702367,
20,
2,
10
],
[
1746504870.4018,
20,
2,
10
],
[
1746504890.3804238,
20,
1,
5
],
[
1746504904.9177966,
20,
1,
5
],
[
1746504920.3233562,
20,
1,
5
],
[
1746504934.8030663,
20,
1,
5
],
[
1746504950.286239,
20,
1,
5
],
[
1746504964.9170542,
20,
1,
5
],
[
1746504980.6365278,
20,
1,
5
],
[
1746504995.2183633,
20,
1,
5
],
[
1746505010.9121642,
20,
1,
5
],
[
1746505025.3298593,
20,
1,
5
],
[
1746505039.861063,
20,
1,
5
],
[
1746505055.562951,
20,
1,
5
],
[
1746505070.182074,
20,
1,
5
],
[
1746505086.1006806,
20,
1,
5
],
[
1746505100.7638457,
20,
1,
5
],
[
1746505116.7396176,
20,
1,
5
],
[
1746505131.5592172,
20,
1,
5
],
[
1746505146.1774807,
20,
1,
5
],
[
1746505161.928479,
20,
1,
5
],
[
1746505176.47278,
20,
1,
5
],
[
1746505192.5011148,
20,
1,
5
],
[
1746505207.0118287,
20,
1,
5
],
[
1746505221.4737933,
20,
1,
5
],
[
1746505237.3022091,
20,
1,
5
],
[
1746505252.0080411,
20,
1,
5
],
[
1746505267.153977,
20,
1,
5
],
[
1746505283.5509305,
20,
1,
5
],
[
1746505298.4017603,
20,
1,
5
],
[
1746505313.2482517,
20,
1,
5
],
[
1746505329.402505,
20,
1,
5
],
[
1746505344.274195,
20,
1,
5
],
[
1746505359.3516085,
20,
1,
5
],
[
1746505375.7561812,
20,
1,
5
],
[
1746505390.6179554,
20,
1,
5
],
[
1746505405.497254,
20,
1,
5
],
[
1746505421.6624985,
20,
1,
5
],
[
1746505436.4249175,
20,
1,
5
],
[
1746505451.1478868,
20,
1,
5
],
[
1746505467.4136133,
20,
1,
5
],
[
1746505482.2608721,
20,
1,
5
],
[
1746505514.6705272,
20,
0,
0
],
[
1746506548.6021147,
20,
0,
0
],
[
1746506549.1465375,
20,
0,
0
],
[
1746506551.2040834,
20,
1,
5
],
[
1746506560.874182,
20,
1,
5
],
[
1746507553.2690067,
20,
1,
5
],
[
1746507553.9448345,
20,
1,
5
],
[
1746507555.5785875,
20,
2,
10
],
[
1746507570.8504298,
20,
2,
10
],
[
1746508362.3744318,
20,
2,
10
],
[
1746508363.868671,
20,
2,
10
],
[
1746508365.32557,
20,
3,
15
],
[
1746508369.800607,
20,
3,
15
],
[
1746508383.9606009,
20,
2,
10
],
[
1746508384.0440056,
20,
2,
10
],
[
1746509616.5693948,
20,
2,
10
],
[
1746509617.4333775,
20,
2,
10
],
[
1746509619.5085113,
20,
3,
15
],
[
1746509627.6786845,
20,
3,
15
],
[
1746509646.0517921,
20,
2,
10
],
[
1746509646.3090143,
20,
2,
10
],
[
1746510953.292353,
20,
2,
10
],
[
1746510954.058627,
20,
2,
10
],
[
1746510955.910373,
20,
3,
15
],
[
1746510979.867681,
20,
3,
15
],
[
1746512394.1014721,
20,
3,
15
],
[
1746512394.830836,
20,
3,
15
],
[
1746512396.682756,
20,
4,
20
],
[
1746512424.7920952,
20,
4,
20
],
[
1746513480.9824963,
20,
4,
20
],
[
1746513481.7057123,
20,
4,
20
],
[
1746513483.5313878,
20,
5,
25
],
[
1746513516.2055452,
20,
5,
25
],
[
1746514520.553003,
20,
5,
25
],
[
1746514521.341608,
20,
5,
25
],
[
1746514523.4270797,
20,
6,
30
],
[
1746514539.3694053,
20,
6,
30
],
[
1746514565.9609582,
20,
5,
25
],
[
1746514585.1172276,
20,
4,
20
],
[
1746514585.316328,
20,
4,
20
],
[
1746515808.8670282,
20,
4,
20
],
[
1746515809.629532,
20,
4,
20
],
[
1746515811.5003576,
20,
5,
25
],
[
1746515844.161079,
20,
5,
25
],
[
1746516899.6981924,
20,
5,
25
],
[
1746516900.4425554,
20,
5,
25
],
[
1746516902.4854295,
20,
6,
30
],
[
1746516918.3409233,
20,
6,
30
],
[
1746516961.2079508,
20,
5,
25
],
[
1746516961.402917,
20,
5,
25
],
[
1746518047.2432017,
20,
5,
25
],
[
1746518047.9449062,
20,
5,
25
],
[
1746518049.8765738,
20,
6,
30
],
[
1746518073.630524,
20,
6,
30
],
[
1746518092.057949,
20,
5,
25
],
[
1746518092.2827907,
20,
5,
25
],
[
1746519813.2485957,
20,
5,
25
],
[
1746519813.9789367,
20,
5,
25
],
[
1746519815.8481827,
20,
6,
30
],
[
1746519832.0781035,
20,
6,
30
],
[
1746519855.3940995,
20,
5,
25
],
[
1746519892.9193091,
20,
4,
20
],
[
1746519893.0973039,
20,
4,
20
],
[
1746521225.0969372,
20,
4,
20
],
[
1746521225.8412313,
20,
4,
20
],
[
1746521227.750276,
20,
5,
25
],
[
1746521263.0415845,
20,
5,
25
],
[
1746522732.0672255,
20,
5,
25
],
[
1746522732.7093627,
20,
5,
25
],
[
1746522734.42714,
20,
6,
30
],
[
1746522750.217457,
20,
6,
30
],
[
1746522786.6939259,
20,
5,
25
],
[
1746522786.817039,
20,
5,
25
],
[
1746523995.698352,
20,
5,
25
],
[
1746523996.417399,
20,
5,
25
],
[
1746523998.4626145,
20,
6,
30
],
[
1746524014.3479373,
20,
6,
30
],
[
1746524057.2634456,
20,
5,
25
],
[
1746524057.4342623,
20,
5,
25
],
[
1746525471.678901,
20,
5,
25
],
[
1746525472.4248998,
20,
5,
25
],
[
1746525474.4446278,
20,
6,
30
],
[
1746525490.2893105,
20,
6,
30
],
[
1746525533.3213232,
20,
5,
25
],
[
1746525533.501145,
20,
5,
25
],
[
1746526813.9004812,
20,
5,
25
],
[
1746526814.4884126,
20,
5,
25
],
[
1746526816.3238277,
20,
6,
30
],
[
1746526838.7612605,
20,
6,
30
],
[
1746526857.1049623,
20,
5,
25
],
[
1746526857.3825853,
20,
5,
25
],
[
1746528244.0537488,
20,
5,
25
],
[
1746528244.637344,
20,
5,
25
],
[
1746528246.3652072,
20,
6,
30
],
[
1746528262.1368902,
20,
6,
30
],
[
1746528300.8117166,
20,
5,
25
],
[
1746528300.957033,
20,
5,
25
],
[
1746529286.0020578,
20,
5,
25
],
[
1746529286.538198,
20,
5,
25
],
[
1746529288.3396275,
20,
6,
30
],
[
1746529304.211884,
20,
6,
30
],
[
1746529346.356173,
20,
5,
25
],
[
1746529346.4901116,
20,
5,
25
],
[
1746530355.9199903,
20,
5,
25
],
[
1746530356.6466744,
20,
5,
25
],
[
1746530358.5434854,
20,
6,
30
],
[
1746530374.349856,
20,
6,
30
],
[
1746530417.0934165,
20,
5,
25
],
[
1746530417.451767,
20,
5,
25
],
[
1746530452.5479245,
20,
5,
25
],
[
1746530491.2477064,
20,
5,
25
],
[
1746530530.08917,
20,
5,
25
],
[
1746530570.754195,
20,
5,
25
],
[
1746530609.454856,
20,
5,
25
],
[
1746530648.5675669,
20,
5,
25
],
[
1746530690.8069768,
20,
5,
25
],
[
1746530730.9253445,
20,
5,
25
],
[
1746530770.3119774,
20,
5,
25
],
[
1746530808.001047,
20,
5,
25
],
[
1746530846.3797762,
20,
5,
25
],
[
1746530884.7768285,
20,
5,
25
],
[
1746530922.5797503,
20,
5,
25
],
[
1746530960.5706768,
20,
5,
25
],
[
1746530998.6954136,
20,
5,
25
],
[
1746531037.5104077,
20,
5,
25
],
[
1746531076.2703118,
20,
5,
25
],
[
1746531114.791366,
20,
5,
25
],
[
1746531154.1201818,
20,
5,
25
],
[
1746531189.3152676,
20,
5,
25
],
[
1746531223.8680155,
20,
5,
25
],
[
1746531261.916581,
20,
5,
25
],
[
1746531298.2780209,
20,
5,
25
],
[
1746531335.9332962,
20,
5,
25
],
[
1746531375.2471156,
20,
5,
25
],
[
1746531414.2200882,
20,
5,
25
],
[
1746531453.6951888,
20,
5,
25
],
[
1746531492.5155218,
20,
5,
25
],
[
1746531531.4228938,
20,
5,
25
],
[
1746531570.864477,
20,
5,
25
],
[
1746531610.1464658,
20,
4,
20
],
[
1746531644.2182813,
20,
4,
20
],
[
1746531677.995998,
20,
4,
20
],
[
1746531711.4695358,
20,
4,
20
],
[
1746531745.8553805,
20,
4,
20
],
[
1746531778.91327,
20,
4,
20
],
[
1746531812.2401054,
20,
4,
20
],
[
1746531846.9633205,
20,
4,
20
],
[
1746531880.7364807,
20,
4,
20
],
[
1746531913.8768237,
20,
4,
20
],
[
1746531947.6944036,
20,
4,
20
],
[
1746531981.1200793,
20,
4,
20
],
[
1746532014.2811186,
20,
4,
20
],
[
1746532050.8904266,
20,
4,
20
],
[
1746532085.006844,
20,
4,
20
],
[
1746532118.8203557,
20,
4,
20
],
[
1746532153.154401,
20,
4,
20
],
[
1746532184.8529382,
20,
4,
20
],
[
1746532217.0322642,
20,
4,
20
],
[
1746532248.9715729,
20,
4,
20
],
[
1746532283.959106,
20,
4,
20
],
[
1746532316.8394568,
20,
4,
20
],
[
1746532350.6971607,
20,
4,
20
],
[
1746532383.7730794,
20,
4,
20
],
[
1746532413.8706226,
20,
4,
20
],
[
1746532443.4748943,
20,
4,
20
],
[
1746532475.370262,
20,
4,
20
],
[
1746532506.1797347,
20,
4,
20
],
[
1746532538.9226608,
20,
4,
20
],
[
1746532571.1091547,
20,
4,
20
],
[
1746532604.3931131,
20,
4,
20
],
[
1746532635.5623553,
20,
4,
20
],
[
1746532668.2887595,
20,
4,
20
],
[
1746532703.3641438,
20,
4,
20
],
[
1746532736.2298846,
20,
4,
20
],
[
1746532769.5565724,
20,
4,
20
],
[
1746532806.066904,
20,
4,
20
],
[
1746532839.5590482,
20,
4,
20
],
[
1746532873.0997705,
20,
4,
20
],
[
1746532906.2637672,
20,
4,
20
],
[
1746532939.619685,
20,
4,
20
],
[
1746532975.3511603,
20,
4,
20
],
[
1746533008.3874648,
20,
4,
20
],
[
1746533041.270836,
20,
4,
20
],
[
1746533074.5403368,
20,
4,
20
],
[
1746533108.4699728,
20,
4,
20
],
[
1746533142.1602087,
20,
4,
20
],
[
1746533175.4984455,
20,
4,
20
],
[
1746533208.8225832,
20,
4,
20
],
[
1746533242.6663847,
20,
4,
20
],
[
1746533276.6463532,
20,
4,
20
],
[
1746533310.326432,
20,
4,
20
],
[
1746533344.955625,
20,
4,
20
],
[
1746533378.762248,
20,
4,
20
],
[
1746533410.4398086,
20,
4,
20
],
[
1746533444.8897374,
20,
4,
20
],
[
1746533478.8097234,
20,
4,
20
],
[
1746533513.0035126,
20,
4,
20
],
[
1746533546.9823525,
20,
4,
20
],
[
1746533578.8619993,
20,
4,
20
],
[
1746533613.6068935,
20,
4,
20
],
[
1746533647.5610101,
20,
4,
20
],
[
1746533681.288775,
20,
4,
20
],
[
1746533713.6316147,
20,
4,
20
],
[
1746533747.7202096,
20,
4,
20
],
[
1746533781.9031677,
20,
4,
20
],
[
1746533815.3694413,
20,
4,
20
],
[
1746533846.4241529,
20,
4,
20
],
[
1746533880.149452,
20,
4,
20
],
[
1746533914.1108103,
20,
4,
20
],
[
1746533948.4518762,
20,
4,
20
],
[
1746533983.5125535,
20,
4,
20
],
[
1746534017.1565003,
20,
4,
20
],
[
1746534050.102299,
20,
4,
20
],
[
1746534081.7820132,
20,
4,
20
],
[
1746534114.2491357,
20,
4,
20
],
[
1746534147.0165749,
20,
4,
20
],
[
1746534180.1518335,
20,
4,
20
],
[
1746534212.254409,
20,
4,
20
],
[
1746534245.4669344,
20,
4,
20
],
[
1746534275.055785,
20,
4,
20
],
[
1746534303.1449943,
20,
4,
20
],
[
1746534334.192889,
20,
4,
20
],
[
1746534364.9930573,
20,
4,
20
],
[
1746534397.8696804,
20,
4,
20
],
[
1746534429.7131994,
20,
4,
20
],
[
1746534461.83931,
20,
4,
20
],
[
1746534494.760567,
20,
4,
20
],
[
1746534526.7338443,
20,
4,
20
],
[
1746534559.4947767,
20,
4,
20
],
[
1746534593.2449872,
20,
4,
20
],
[
1746534628.0040147,
20,
3,
15
],
[
1746534656.075483,
20,
3,
15
],
[
1746534684.1141355,
20,
3,
15
],
[
1746534712.0005388,
20,
3,
15
],
[
1746534740.4047701,
20,
3,
15
],
[
1746534768.2257888,
20,
3,
15
],
[
1746534795.9131277,
20,
3,
15
],
[
1746534823.3627434,
20,
3,
15
],
[
1746534851.2549598,
20,
3,
15
],
[
1746534879.3591712,
20,
3,
15
],
[
1746534908.5137305,
20,
3,
15
],
[
1746534935.7477353,
20,
3,
15
],
[
1746534967.0643897,
20,
3,
15
],
[
1746534996.1027427,
20,
3,
15
],
[
1746535023.0837252,
20,
3,
15
],
[
1746535051.0900018,
20,
3,
15
],
[
1746535078.1598516,
20,
3,
15
],
[
1746535106.460991,
20,
3,
15
],
[
1746535133.583445,
20,
3,
15
],
[
1746535161.783531,
20,
3,
15
],
[
1746535188.398121,
20,
3,
15
],
[
1746535216.9822078,
20,
3,
15
],
[
1746535244.2854316,
20,
3,
15
],
[
1746535273.7189589,
20,
3,
15
],
[
1746535300.7627606,
20,
3,
15
],
[
1746535329.7605886,
20,
3,
15
],
[
1746535356.9105172,
20,
3,
15
],
[
1746535385.6647499,
20,
3,
15
],
[
1746535413.3038452,
20,
3,
15
],
[
1746535441.3733783,
20,
3,
15
],
[
1746535469.026757,
20,
3,
15
],
[
1746535496.1760743,
20,
3,
15
],
[
1746535523.3088722,
20,
3,
15
],
[
1746535552.3839283,
20,
3,
15
],
[
1746535579.9025855,
20,
3,
15
],
[
1746535607.0779228,
20,
3,
15
],
[
1746535634.1161866,
20,
3,
15
],
[
1746535661.3832252,
20,
3,
15
],
[
1746535688.178022,
20,
3,
15
],
[
1746535716.1496992,
20,
3,
15
],
[
1746535744.3071823,
20,
3,
15
],
[
1746535772.8210905,
20,
3,
15
],
[
1746535801.1342356,
20,
3,
15
],
[
1746535830.2131062,
20,
2,
10
],
[
1746535852.9956512,
20,
2,
10
],
[
1746535875.2339084,
20,
2,
10
],
[
1746535897.4985287,
20,
2,
10
],
[
1746535919.6316895,
20,
2,
10
],
[
1746535941.7371051,
20,
2,
10
],
[
1746535963.5530434,
20,
2,
10
],
[
1746535987.166038,
20,
2,
10
],
[
1746536009.1852322,
20,
2,
10
],
[
1746536031.1457605,
20,
2,
10
],
[
1746536052.655563,
20,
2,
10
],
[
1746536074.4498336,
20,
2,
10
],
[
1746536096.58915,
20,
2,
10
],
[
1746536118.747763,
20,
2,
10
],
[
1746536140.5718715,
20,
2,
10
],
[
1746536162.3198156,
20,
2,
10
],
[
1746536184.1871357,
20,
2,
10
],
[
1746536207.1611023,
20,
2,
10
],
[
1746536229.7381706,
20,
2,
10
],
[
1746536252.5161529,
20,
2,
10
],
[
1746536275.4037728,
20,
2,
10
],
[
1746536296.1600695,
20,
2,
10
],
[
1746536318.702969,
20,
2,
10
],
[
1746536341.4402344,
20,
2,
10
],
[
1746536364.3397396,
20,
2,
10
],
[
1746536386.9042535,
20,
2,
10
],
[
1746536409.3485415,
20,
2,
10
],
[
1746536432.0679326,
20,
2,
10
],
[
1746536455.055293,
20,
2,
10
],
[
1746536476.1528816,
20,
2,
10
],
[
1746536498.6924777,
20,
2,
10
],
[
1746536521.7535267,
20,
2,
10
],
[
1746536544.7806,
20,
2,
10
],
[
1746536566.131162,
20,
2,
10
],
[
1746536587.2464354,
20,
2,
10
],
[
1746536606.6267116,
20,
2,
10
],
[
1746536627.7956119,
20,
2,
10
],
[
1746536648.9619455,
20,
2,
10
],
[
1746536668.6090324,
20,
2,
10
],
[
1746536687.1735902,
20,
2,
10
],
[
1746536707.9773052,
20,
2,
10
],
[
1746536730.1129653,
20,
2,
10
],
[
1746536752.1024685,
20,
2,
10
],
[
1746536774.07082,
20,
2,
10
],
[
1746536794.1783905,
20,
2,
10
],
[
1746536815.6268172,
20,
2,
10
],
[
1746536837.419745,
20,
2,
10
],
[
1746536858.4396963,
20,
2,
10
],
[
1746536881.6473322,
20,
2,
10
],
[
1746536904.8024316,
20,
2,
10
],
[
1746536927.927,
20,
2,
10
],
[
1746536948.870064,
20,
2,
10
],
[
1746536971.5618393,
20,
2,
10
],
[
1746536994.2073894,
20,
2,
10
],
[
1746537014.7401915,
20,
2,
10
],
[
1746537037.222701,
20,
1,
5
],
[
1746537052.5688927,
20,
1,
5
],
[
1746537067.6928778,
20,
1,
5
],
[
1746537082.7162352,
20,
1,
5
],
[
1746537100.5558317,
20,
1,
5
],
[
1746537117.2533262,
20,
1,
5
],
[
1746537134.145496,
20,
1,
5
],
[
1746537150.643509,
20,
1,
5
],
[
1746537167.0192044,
20,
1,
5
],
[
1746537183.6282878,
20,
1,
5
],
[
1746537200.2298975,
20,
1,
5
],
[
1746537216.926782,
20,
1,
5
],
[
1746537233.493258,
20,
1,
5
],
[
1746537250.1345758,
20,
1,
5
],
[
1746537268.9061363,
20,
1,
5
],
[
1746537285.7362587,
20,
1,
5
],
[
1746537302.3890588,
20,
1,
5
],
[
1746537318.8466473,
20,
1,
5
],
[
1746537335.3696694,
20,
1,
5
],
[
1746537351.9390602,
20,
1,
5
],
[
1746537368.5027978,
20,
1,
5
],
[
1746537385.6144898,
20,
1,
5
],
[
1746537402.3651712,
20,
1,
5
],
[
1746537419.0259793,
20,
1,
5
],
[
1746537436.0248206,
20,
1,
5
],
[
1746537454.9197707,
20,
1,
5
],
[
1746537471.571499,
20,
1,
5
],
[
1746537488.5708609,
20,
1,
5
],
[
1746537505.3937607,
20,
1,
5
],
[
1746537522.1904476,
20,
1,
5
],
[
1746537538.922187,
20,
1,
5
],
[
1746537557.3430424,
20,
1,
5
],
[
1746537573.9262307,
20,
1,
5
],
[
1746537590.6004002,
20,
1,
5
],
[
1746537607.2075965,
20,
1,
5
],
[
1746537623.5578892,
20,
1,
5
],
[
1746537661.7378194,
20,
0,
0
],
[
1746538749.0430555,
20,
0,
0
],
[
1746538749.6200395,
20,
0,
0
],
[
1746538751.6643162,
20,
1,
5
],
[
1746538762.9125502,
20,
1,
5
],
[
1746539937.888213,
20,
1,
5
],
[
1746539938.649687,
20,
1,
5
],
[
1746539940.5296845,
20,
2,
10
],
[
1746539958.1978202,
20,
2,
10
],
[
1746541251.898671,
20,
2,
10
],
[
1746541252.5707018,
20,
2,
10
],
[
1746541254.4375558,
20,
3,
15
],
[
1746541277.5027537,
20,
3,
15
],
[
1746542340.0747921,
20,
3,
15
],
[
1746542340.694885,
20,
3,
15
],
[
1746542343.3047657,
20,
4,
20
],
[
1746542355.9510126,
20,
4,
20
],
[
1746542373.16014,
20,
3,
15
],
[
1746542373.3853328,
20,
3,
15
],
[
1746543729.8921568,
20,
3,
15
],
[
1746543730.4406817,
20,
3,
15
],
[
1746543732.257522,
20,
4,
20
],
[
1746543756.3474777,
20,
4,
20
],
[
1746544779.477162,
20,
4,
20
],
[
1746544780.4319308,
20,
4,
20
],
[
1746544782.5050044,
20,
5,
25
],
[
1746544813.6674106,
20,
5,
25
],
[
1746545943.787671,
20,
5,
25
],
[
1746545944.4867735,
20,
5,
25
],
[
1746545946.3926175,
20,
6,
30
],
[
1746545970.3260837,
20,
6,
30
],
[
1746545989.1548605,
20,
5,
25
],
[
1746545989.6823502,
20,
4,
20
],
[
1746547148.5115888,
20,
4,
20
],
[
1746547149.3137374,
20,
4,
20
],
[
1746547151.4229958,
20,
5,
25
],
[
1746547184.2543805,
20,
4,
20
],
[
1746548126.833287,
20,
4,
20
],
[
1746548127.5307255,
20,
4,
20
],
[
1746548129.4730225,
20,
5,
25
],
[
1746548162.7134678,
20,
5,
25
],
[
1746549316.4856808,
20,
5,
25
],
[
1746549317.391548,
20,
5,
25
],
[
1746549319.4851217,
20,
6,
30
],
[
1746549344.934426,
20,
6,
30
],
[
1746549362.8582788,
20,
5,
25
],
[
1746549363.3437045,
20,
5,
25
],
[
1746550771.3188026,
20,
5,
25
],
[
1746550772.322189,
20,
5,
25
],
[
1746550774.5644805,
20,
6,
30
],
[
1746550790.4872167,
20,
6,
30
],
[
1746550817.6454678,
20,
5,
25
],
[
1746550837.0257425,
20,
4,
20
],
[
1746550837.207956,
20,
4,
20
],
[
1746552491.5100605,
20,
4,
20
],
[
1746552492.1349308,
20,
4,
20
],
[
1746552493.811854,
20,
5,
25
],
[
1746552509.4603949,
20,
5,
25
],
[
1746552541.8161163,
20,
4,
20
],
[
1746552541.942419,
20,
4,
20
],
[
1746553948.5231714,
20,
4,
20
],
[
1746553949.424661,
20,
4,
20
],
[
1746553951.7079823,
20,
5,
25
],
[
1746553967.5617142,
20,
5,
25
],
[
1746553989.5607312,
20,
4,
20
],
[
1746554009.1730764,
20,
3,
15
],
[
1746554009.3159165,
20,
3,
15
],
[
1746555180.5537531,
20,
3,
15
],
[
1746555181.3634589,
20,
3,
15
],
[
1746555183.4522862,
20,
4,
20
],
[
1746555199.28471,
20,
4,
20
],
[
1746555229.4404397,
20,
3,
15
],
[
1746555229.6029108,
20,
3,
15
],
[
1746556400.9315288,
20,
3,
15
],
[
1746556401.6837177,
20,
3,
15
],
[
1746556403.5589306,
20,
4,
20
],
[
1746556417.1228979,
20,
4,
20
],
[
1746556437.711066,
20,
3,
15
],
[
1746556437.8571765,
20,
3,
15
],
[
1746558011.036682,
20,
3,
15
],
[
1746558011.7172303,
20,
3,
15
],
[
1746558013.5883977,
20,
4,
20
],
[
1746558029.4634178,
20,
4,
20
],
[
1746558046.779334,
20,
3,
15
],
[
1746558066.0147815,
20,
2,
10
],
[
1746558066.1542647,
20,
2,
10
],
[
1746559807.5962934,
20,
2,
10
],
[
1746559808.5077975,
20,
2,
10
],
[
1746559810.439222,
20,
3,
15
],
[
1746559831.9031625,
20,
3,
15
],
[
1746560903.268165,
20,
3,
15
],
[
1746560903.9880033,
20,
3,
15
],
[
1746560905.8811986,
20,
4,
20
],
[
1746560935.3782473,
20,
4,
20
],
[
1746562106.6113577,
20,
4,
20
],
[
1746562107.4376822,
20,
4,
20
],
[
1746562109.495927,
20,
5,
25
],
[
1746562125.4091406,
20,
5,
25
],
[
1746562162.9516692,
20,
4,
20
],
[
1746562163.114982,
20,
4,
20
],
[
1746563520.9320774,
20,
4,
20
],
[
1746563521.7123241,
20,
4,
20
],
[
1746563523.565824,
20,
5,
25
],
[
1746563548.6253843,
20,
5,
25
],
[
1746563561.9056804,
20,
4,
20
],
[
1746563562.3627465,
20,
4,
20
],
[
1746563592.8457959,
20,
4,
20
],
[
1746563627.0049462,
20,
4,
20
],
[
1746563660.7046905,
20,
4,
20
],
[
1746563695.1086087,
20,
4,
20
],
[
1746563729.343234,
20,
4,
20
],
[
1746563762.448045,
20,
4,
20
],
[
1746563795.5510266,
20,
4,
20
],
[
1746563830.4249485,
20,
4,
20
],
[
1746563863.586108,
20,
4,
20
],
[
1746563898.0910048,
20,
4,
20
],
[
1746563931.446364,
20,
4,
20
],
[
1746563964.7032661,
20,
4,
20
],
[
1746563998.2891984,
20,
4,
20
],
[
1746564031.8583055,
20,
4,
20
],
[
1746564065.7330568,
20,
4,
20
],
[
1746564099.625623,
20,
4,
20
],
[
1746564133.3308866,
20,
4,
20
],
[
1746564167.6541383,
20,
4,
20
],
[
1746564201.927865,
20,
4,
20
],
[
1746564237.0040178,
20,
4,
20
],
[
1746564272.3104637,
20,
4,
20
],
[
1746564307.2905233,
20,
4,
20
],
[
1746564340.2274942,
20,
4,
20
],
[
1746564374.4955904,
20,
4,
20
],
[
1746564408.7921789,
20,
4,
20
],
[
1746564441.1426027,
20,
4,
20
],
[
1746564475.584801,
20,
4,
20
],
[
1746564510.9253273,
20,
4,
20
],
[
1746564544.220209,
20,
4,
20
],
[
1746564579.051662,
20,
4,
20
],
[
1746564612.490864,
20,
4,
20
],
[
1746564647.3231497,
20,
4,
20
],
[
1746564680.6646833,
20,
4,
20
],
[
1746564713.9162145,
20,
4,
20
],
[
1746564749.5354657,
20,
4,
20
],
[
1746564783.0864918,
20,
4,
20
],
[
1746564816.4864395,
20,
4,
20
],
[
1746564850.3045096,
20,
4,
20
],
[
1746564885.3636658,
20,
4,
20
],
[
1746564918.2540953,
20,
4,
20
],
[
1746564950.7439654,
20,
4,
20
],
[
1746564983.8276525,
20,
4,
20
],
[
1746565018.0010657,
20,
4,
20
],
[
1746565053.7092981,
20,
4,
20
],
[
1746565087.7408936,
20,
4,
20
],
[
1746565122.221383,
20,
4,
20
],
[
1746565154.651681,
20,
4,
20
],
[
1746565186.9085915,
20,
4,
20
],
[
1746565219.0420957,
20,
4,
20
],
[
1746565252.5278826,
20,
4,
20
],
[
1746565286.6222715,
20,
4,
20
],
[
1746565320.0947564,
20,
4,
20
],
[
1746565353.6396708,
20,
4,
20
],
[
1746565387.4574428,
20,
4,
20
],
[
1746565421.0936563,
20,
4,
20
],
[
1746565441.912895,
20,
4,
20
],
[
1746565473.5220668,
20,
3,
15
],
[
1746565473.8622875,
20,
3,
15
],
[
1746565500.995428,
20,
3,
15
],
[
1746565528.1668422,
20,
3,
15
],
[
1746565556.5991542,
20,
3,
15
],
[
1746565586.8417492,
20,
3,
15
],
[
1746565614.9208164,
20,
3,
15
],
[
1746565642.9820695,
20,
3,
15
],
[
1746565670.866023,
20,
3,
15
],
[
1746565701.1367595,
20,
3,
15
],
[
1746565728.8299832,
20,
3,
15
],
[
1746565756.7033827,
20,
3,
15
],
[
1746565784.4452453,
20,
3,
15
],
[
1746565812.8732173,
20,
3,
15
],
[
1746565843.5786932,
20,
3,
15
],
[
1746565872.7419887,
20,
3,
15
],
[
1746565901.2222993,
20,
3,
15
],
[
1746565930.0879855,
20,
3,
15
],
[
1746565957.9022334,
20,
3,
15
],
[
1746565987.7842872,
20,
3,
15
],
[
1746566015.4167376,
20,
3,
15
],
[
1746566045.2904096,
20,
3,
15
],
[
1746566073.0413728,
20,
3,
15
],
[
1746566101.349199,
20,
3,
15
],
[
1746566131.5632148,
20,
3,
15
],
[
1746566159.6107838,
20,
3,
15
],
[
1746566187.1358194,
20,
3,
15
],
[
1746566215.3971338,
20,
3,
15
],
[
1746566243.699986,
20,
3,
15
],
[
1746566272.0968418,
20,
3,
15
],
[
1746566299.24162,
20,
3,
15
],
[
1746566327.4047694,
20,
3,
15
],
[
1746566356.3661141,
20,
3,
15
],
[
1746566383.7182794,
20,
3,
15
],
[
1746566412.622226,
20,
3,
15
],
[
1746566439.9958868,
20,
3,
15
],
[
1746566469.4911425,
20,
3,
15
],
[
1746566497.193059,
20,
3,
15
],
[
1746566526.6088123,
20,
3,
15
],
[
1746566554.6659563,
20,
3,
15
],
[
1746566582.1963084,
20,
3,
15
],
[
1746566609.9804728,
20,
3,
15
],
[
1746566639.5651534,
20,
3,
15
],
[
1746566666.9925876,
20,
3,
15
],
[
1746566694.6473923,
20,
3,
15
],
[
1746566723.0483437,
20,
3,
15
],
[
1746566751.5036256,
20,
3,
15
],
[
1746566779.7730286,
20,
3,
15
],
[
1746566806.2615042,
20,
3,
15
],
[
1746566831.8180375,
20,
3,
15
],
[
1746566857.1365345,
20,
3,
15
],
[
1746566882.9118621,
20,
3,
15
],
[
1746566910.2908978,
20,
3,
15
],
[
1746566937.6801777,
20,
3,
15
],
[
1746566964.8982694,
20,
3,
15
],
[
1746566993.0802023,
20,
3,
15
],
[
1746567021.3655207,
20,
3,
15
],
[
1746567049.6771913,
20,
3,
15
],
[
1746567078.2880461,
20,
3,
15
],
[
1746567106.287733,
20,
3,
15
],
[
1746567134.7917745,
20,
3,
15
],
[
1746567163.056701,
20,
3,
15
],
[
1746567190.2749243,
20,
3,
15
],
[
1746567218.6245034,
20,
3,
15
],
[
1746567247.5192423,
20,
2,
10
],
[
1746567269.717667,
20,
2,
10
],
[
1746567292.4931388,
20,
2,
10
],
[
1746567315.3535907,
20,
2,
10
],
[
1746567337.2132967,
20,
2,
10
],
[
1746567361.1506202,
20,
2,
10
],
[
1746567385.0250354,
20,
2,
10
],
[
1746567407.1730459,
20,
2,
10
],
[
1746567430.2402582,
20,
2,
10
],
[
1746567452.0090914,
20,
2,
10
],
[
1746567474.985575,
20,
2,
10
],
[
1746567496.7577822,
20,
2,
10
],
[
1746567519.7284253,
20,
2,
10
],
[
1746567541.702525,
20,
2,
10
],
[
1746567564.8592181,
20,
2,
10
],
[
1746567586.5204608,
20,
2,
10
],
[
1746567608.3819368,
20,
2,
10
],
[
1746567631.9077888,
20,
2,
10
],
[
1746567653.9915082,
20,
2,
10
],
[
1746567677.6228113,
20,
2,
10
],
[
1746567699.7765167,
20,
2,
10
],
[
1746567722.0638387,
20,
2,
10
],
[
1746567745.6210372,
20,
2,
10
],
[
1746567767.4319265,
20,
2,
10
],
[
1746567789.391993,
20,
2,
10
],
[
1746567811.4034362,
20,
2,
10
],
[
1746567835.0747774,
20,
2,
10
],
[
1746567856.962759,
20,
2,
10
],
[
1746567878.7046144,
20,
2,
10
],
[
1746567901.2117615,
20,
2,
10
],
[
1746567924.728067,
20,
2,
10
],
[
1746567946.6468716,
20,
2,
10
],
[
1746567968.7951803,
20,
2,
10
],
[
1746567990.8973765,
20,
2,
10
],
[
1746568014.8927855,
20,
2,
10
],
[
1746568037.1373818,
20,
2,
10
],
[
1746568060.0245068,
20,
2,
10
],
[
1746568083.047317,
20,
2,
10
],
[
1746568105.4541519,
20,
2,
10
],
[
1746568128.4462245,
20,
2,
10
],
[
1746568151.1820397,
20,
2,
10
],
[
1746568174.503837,
20,
2,
10
],
[
1746568197.0079527,
20,
2,
10
],
[
1746568221.173158,
20,
2,
10
],
[
1746568243.4712825,
20,
2,
10
],
[
1746568265.8415868,
20,
2,
10
],
[
1746568288.269175,
20,
2,
10
],
[
1746568310.604169,
20,
2,
10
],
[
1746568333.5710645,
20,
2,
10
],
[
1746568356.2215273,
20,
2,
10
],
[
1746568378.8798094,
20,
2,
10
],
[
1746568401.3450205,
20,
2,
10
],
[
1746568423.8750174,
20,
2,
10
],
[
1746568447.3157384,
20,
1,
5
],
[
1746568463.643057,
20,
1,
5
],
[
1746568482.0848632,
20,
1,
5
],
[
1746568500.4086862,
20,
1,
5
],
[
1746568516.672712,
20,
1,
5
],
[
1746568532.8801918,
20,
1,
5
],
[
1746568550.4638388,
20,
1,
5
],
[
1746568566.172535,
20,
1,
5
],
[
1746568581.9825885,
20,
1,
5
],
[
1746568597.9188929,
20,
1,
5
],
[
1746568615.4989433,
20,
1,
5
],
[
1746568630.8853269,
20,
1,
5
],
[
1746568646.894906,
20,
1,
5
],
[
1746568662.8875844,
20,
1,
5
],
[
1746568680.7482324,
20,
1,
5
],
[
1746568696.948347,
20,
1,
5
],
[
1746568712.9142463,
20,
1,
5
],
[
1746568728.6268344,
20,
1,
5
],
[
1746568745.949418,
20,
1,
5
],
[
1746568761.846922,
20,
1,
5
],
[
1746568777.60615,
20,
1,
5
],
[
1746568793.4840887,
20,
1,
5
],
[
1746568811.163959,
20,
1,
5
],
[
1746568827.075986,
20,
1,
5
],
[
1746568843.371712,
20,
1,
5
],
[
1746568859.5577471,
20,
1,
5
],
[
1746568875.317217,
20,
1,
5
],
[
1746568893.229251,
20,
1,
5
],
[
1746568909.2075536,
20,
1,
5
],
[
1746568925.3215232,
20,
1,
5
],
[
1746568941.5007915,
20,
1,
5
],
[
1746568957.1880639,
20,
1,
5
],
[
1746568975.8769042,
20,
1,
5
],
[
1746568992.6005847,
20,
1,
5
],
[
1746569009.6044416,
20,
1,
5
],
[
1746569026.3684516,
20,
1,
5
],
[
1746569042.9478133,
20,
1,
5
],
[
1746569061.32615,
20,
1,
5
],
[
1746569077.582263,
20,
1,
5
],
[
1746569094.119722,
20,
1,
5
],
[
1746569110.6489084,
20,
1,
5
],
[
1746569127.0445805,
20,
1,
5
],
[
1746569143.3308952,
20,
1,
5
],
[
1746569161.8378658,
20,
1,
5
],
[
1746569178.1304533,
20,
1,
5
],
[
1746569194.9809241,
20,
1,
5
],
[
1746569211.5057452,
20,
1,
5
],
[
1746569228.1712618,
20,
1,
5
],
[
1746569244.802238,
20,
1,
5
],
[
1746569261.6025028,
20,
1,
5
],
[
1746569280.4800289,
20,
1,
5
],
[
1746569297.311776,
20,
1,
5
],
[
1746569313.882179,
20,
1,
5
],
[
1746569330.4979193,
20,
1,
5
],
[
1746569347.016997,
20,
1,
5
],
[
1746569363.8274114,
20,
1,
5
],
[
1746569380.3565476,
20,
1,
5
],
[
1746569396.91199,
20,
1,
5
],
[
1746569415.5926733,
20,
1,
5
],
[
1746569432.0779657,
20,
1,
5
],
[
1746569448.5996282,
20,
1,
5
],
[
1746569465.326794,
20,
1,
5
],
[
1746569481.928922,
20,
1,
5
],
[
1746569498.5684516,
20,
1,
5
],
[
1746569515.071371,
20,
1,
5
],
[
1746569531.6414187,
20,
1,
5
],
[
1746569548.5663986,
20,
1,
5
],
[
1746569567.6270525,
20,
1,
5
],
[
1746569584.6109862,
20,
1,
5
],
[
1746569601.4985561,
20,
1,
5
],
[
1746569618.5439088,
20,
1,
5
],
[
1746569635.2229264,
20,
1,
5
],
[
1746569672.7990677,
20,
0,
0
],
[
1746570958.983084,
20,
0,
0
],
[
1746570959.6181514,
20,
0,
0
],
[
1746570961.868123,
20,
1,
5
],
[
1746570973.521771,
20,
1,
5
],
[
1746572107.0152617,
20,
1,
5
],
[
1746572107.7829933,
20,
1,
5
],
[
1746572109.705105,
20,
2,
10
],
[
1746572126.1881115,
20,
2,
10
],
[
1746573341.2934089,
20,
2,
10
],
[
1746573342.2342408,
20,
2,
10
],
[
1746573344.4783869,
20,
3,
15
],
[
1746573353.430676,
20,
3,
15
],
[
1746573373.0167356,
20,
2,
10
],
[
1746573373.2677898,
20,
2,
10
],
[
1746574817.523313,
20,
2,
10
],
[
1746574818.0290327,
20,
2,
10
],
[
1746574819.4745064,
20,
3,
15
],
[
1746574841.869185,
20,
3,
15
],
[
1746576121.7619154,
20,
3,
15
],
[
1746576122.075048,
20,
3,
15
],
[
1746576123.5087895,
20,
4,
20
],
[
1746576132.804839,
20,
4,
20
],
[
1746576147.6218278,
20,
3,
15
],
[
1746576147.6936202,
20,
3,
15
],
[
1746577660.5293057,
20,
3,
15
],
[
1746577661.0658214,
20,
3,
15
],
[
1746577662.7791378,
20,
4,
20
],
[
1746577687.4279048,
20,
4,
20
],
[
1746578785.0719244,
20,
4,
20
],
[
1746578785.4435618,
20,
4,
20
],
[
1746578787.197519,
20,
5,
25
],
[
1746578803.0486913,
20,
5,
25
],
[
1746578834.8879242,
20,
4,
20
],
[
1746578835.0068297,
20,
4,
20
],
[
1746580086.4311614,
20,
4,
20
],
[
1746580087.1334832,
20,
4,
20
],
[
1746580088.7849052,
20,
5,
25
],
[
1746580103.6058764,
20,
5,
25
],
[
1746580119.6974945,
20,
4,
20
],
[
1746580119.8918235,
20,
4,
20
],
[
1746581835.0870414,
20,
4,
20
],
[
1746581835.7533476,
20,
4,
20
],
[
1746581837.738918,
20,
5,
25
],
[
1746581853.5926416,
20,
5,
25
],
[
1746581875.5101228,
20,
4,
20
],
[
1746581894.1997075,
20,
3,
15
],
[
1746581894.3472,
20,
3,
15
],
[
1746583519.5423245,
20,
3,
15
],
[
1746583520.469033,
20,
3,
15
],
[
1746583522.5521407,
20,
4,
20
],
[
1746583538.4403203,
20,
4,
20
],
[
1746583569.501568,
20,
3,
15
],
[
1746583569.675456,
20,
3,
15
],
[
1746585822.2540133,
20,
3,
15
],
[
1746585823.0429094,
20,
3,
15
],
[
1746585825.009041,
20,
4,
20
],
[
1746585841.122991,
20,
4,
20
],
[
1746585863.9800224,
20,
3,
15
],
[
1746585878.0243366,
20,
2,
10
],
[
1746585878.1995966,
20,
2,
10
],
[
1746587831.069411,
20,
2,
10
],
[
1746587831.8258076,
20,
2,
10
],
[
1746587833.6753678,
20,
3,
15
],
[
1746587858.0666623,
20,
3,
15
],
[
1746589420.56237,
20,
3,
15
],
[
1746589421.3400164,
20,
3,
15
],
[
1746589423.421812,
20,
4,
20
],
[
1746589439.243406,
20,
4,
20
],
[
1746589471.0624745,
20,
3,
15
],
[
1746589471.2210152,
20,
3,
15
],
[
1746590950.0962632,
20,
3,
15
],
[
1746590950.775812,
20,
3,
15
],
[
1746590952.6471567,
20,
4,
20
],
[
1746590968.41584,
20,
4,
20
],
[
1746590984.8105557,
20,
3,
15
],
[
1746591002.8268468,
20,
2,
10
],
[
1746591002.9932835,
20,
2,
10
],
[
1746592721.8397248,
20,
2,
10
],
[
1746592722.5308805,
20,
2,
10
],
[
1746592724.483921,
20,
3,
15
],
[
1746592731.7095516,
20,
3,
15
],
[
1746592750.9588182,
20,
2,
10
],
[
1746592751.1313045,
20,
2,
10
],
[
1746594697.7271945,
20,
2,
10
],
[
1746594698.4155529,
20,
2,
10
],
[
1746594700.4957278,
20,
3,
15
],
[
1746594708.2025254,
20,
3,
15
],
[
1746594727.8036077,
20,
2,
10
],
[
1746594727.9526932,
20,
2,
10
],
[
1746596522.0176747,
20,
2,
10
],
[
1746596522.760992,
20,
2,
10
],
[
1746596524.647405,
20,
3,
15
],
[
1746596540.5949743,
20,
3,
15
],
[
1746596557.8004658,
20,
2,
10
],
[
1746596570.8595858,
20,
1,
5
],
[
1746596571.049213,
20,
1,
5
],
[
1746598938.9951758,
20,
1,
5
],
[
1746598939.6196923,
20,
1,
5
],
[
1746598941.472804,
20,
2,
10
],
[
1746598958.851111,
20,
2,
10
],
[
1746601017.969289,
20,
2,
10
],
[
1746601018.7187908,
20,
2,
10
],
[
1746601021.65401,
20,
3,
15
],
[
1746601045.9233663,
20,
3,
15
],
[
1746602582.7413805,
20,
3,
15
],
[
1746602583.4977338,
20,
3,
15
],
[
1746602585.50788,
20,
4,
20
],
[
1746602601.3555434,
20,
4,
20
],
[
1746602618.7323456,
20,
3,
15
],
[
1746602637.7987213,
20,
2,
10
],
[
1746602638.147988,
20,
2,
10
],
[
1746602657.2392251,
20,
2,
10
],
[
1746602681.1415107,
20,
2,
10
],
[
1746602703.917466,
20,
2,
10
],
[
1746602726.566106,
20,
2,
10
],
[
1746602749.9121842,
20,
2,
10
],
[
1746602772.324427,
20,
2,
10
],
[
1746602795.0645416,
20,
2,
10
],
[
1746602819.0621212,
20,
2,
10
],
[
1746602842.3263693,
20,
2,
10
],
[
1746602865.075438,
20,
2,
10
],
[
1746602887.5424514,
20,
2,
10
],
[
1746602909.9115348,
20,
2,
10
],
[
1746602932.4203887,
20,
2,
10
],
[
1746602954.4859397,
20,
2,
10
],
[
1746602976.2936645,
20,
2,
10
],
[
1746602999.0128646,
20,
2,
10
],
[
1746603022.5828261,
20,
2,
10
],
[
1746603045.3739572,
20,
2,
10
],
[
1746603068.1970367,
20,
2,
10
],
[
1746603090.8312836,
20,
2,
10
],
[
1746603113.7099745,
20,
2,
10
],
[
1746603136.3155348,
20,
2,
10
],
[
1746603159.0370407,
20,
2,
10
],
[
1746603181.1615725,
20,
2,
10
],
[
1746603204.8425229,
20,
2,
10
],
[
1746603228.1137943,
20,
2,
10
],
[
1746603251.366022,
20,
2,
10
],
[
1746603273.5851808,
20,
2,
10
],
[
1746603297.536801,
20,
2,
10
],
[
1746603320.922494,
20,
2,
10
],
[
1746603342.9367225,
20,
2,
10
],
[
1746603366.3885562,
20,
2,
10
],
[
1746603390.294118,
20,
2,
10
],
[
1746603412.7745185,
20,
2,
10
],
[
1746603436.6253638,
20,
2,
10
],
[
1746603458.7944193,
20,
2,
10
],
[
1746603482.2775426,
20,
2,
10
],
[
1746603505.6075497,
20,
2,
10
],
[
1746603527.848868,
20,
2,
10
],
[
1746603551.9641511,
20,
2,
10
],
[
1746603575.1167037,
20,
2,
10
],
[
1746603599.052026,
20,
2,
10
],
[
1746603621.7122972,
20,
2,
10
],
[
1746603645.6354613,
20,
2,
10
],
[
1746603668.8299823,
20,
2,
10
],
[
1746603691.7972102,
20,
2,
10
],
[
1746603715.770977,
20,
2,
10
],
[
1746603738.167854,
20,
2,
10
],
[
1746603762.0740666,
20,
2,
10
],
[
1746603784.8599188,
20,
2,
10
],
[
1746603808.0334198,
20,
2,
10
],
[
1746603832.816027,
20,
2,
10
],
[
1746603855.5948734,
20,
2,
10
],
[
1746603878.191696,
20,
2,
10
],
[
1746603901.875279,
20,
2,
10
],
[
1746603923.8427093,
20,
2,
10
],
[
1746603945.7594388,
20,
2,
10
],
[
1746603967.681489,
20,
2,
10
],
[
1746603990.6682801,
20,
2,
10
],
[
1746604015.2822797,
20,
2,
10
],
[
1746604038.4143527,
20,
2,
10
],
[
1746604059.744446,
20,
2,
10
],
[
1746604080.1370883,
20,
2,
10
],
[
1746604104.1783388,
20,
2,
10
],
[
1746604126.6826196,
20,
2,
10
],
[
1746604149.4900146,
20,
2,
10
],
[
1746604172.332674,
20,
2,
10
],
[
1746604194.956954,
20,
2,
10
],
[
1746604218.1554644,
20,
2,
10
],
[
1746604241.365053,
20,
2,
10
],
[
1746604264.9185925,
20,
2,
10
],
[
1746604287.7947094,
20,
2,
10
],
[
1746604312.3666487,
20,
2,
10
],
[
1746604335.3983803,
20,
2,
10
],
[
1746604358.2636552,
20,
2,
10
],
[
1746604381.0885305,
20,
2,
10
],
[
1746604404.0763705,
20,
2,
10
],
[
1746604427.249461,
20,
2,
10
],
[
1746604448.7958648,
20,
2,
10
],
[
1746604470.3789072,
20,
2,
10
],
[
1746604491.9794307,
20,
2,
10
],
[
1746604513.0570529,
20,
2,
10
],
[
1746604536.0032282,
20,
2,
10
],
[
1746604556.717607,
20,
2,
10
],
[
1746604578.8611622,
20,
2,
10
],
[
1746604600.9913416,
20,
2,
10
],
[
1746604622.7634563,
20,
2,
10
],
[
1746604644.7281141,
20,
2,
10
],
[
1746604666.4870057,
20,
2,
10
],
[
1746604689.3107433,
20,
2,
10
],
[
1746604711.617646,
20,
2,
10
],
[
1746604733.788476,
20,
2,
10
],
[
1746604756.13249,
20,
2,
10
],
[
1746604778.5198262,
20,
2,
10
],
[
1746604799.8149874,
20,
2,
10
],
[
1746604823.464806,
20,
2,
10
],
[
1746604846.0861194,
20,
2,
10
],
[
1746604868.5315337,
20,
2,
10
],
[
1746604890.9375658,
20,
2,
10
],
[
1746604914.2233534,
20,
2,
10
],
[
1746604935.9684246,
20,
2,
10
],
[
1746604959.7523558,
20,
2,
10
],
[
1746604983.5176945,
20,
2,
10
],
[
1746605007.1593528,
20,
2,
10
],
[
1746605030.7072713,
20,
2,
10
],
[
1746605051.982324,
20,
2,
10
],
[
1746605075.6541944,
20,
2,
10
],
[
1746605099.1520226,
20,
2,
10
],
[
1746605123.3630502,
20,
2,
10
],
[
1746605145.0177894,
20,
2,
10
],
[
1746605169.4069839,
20,
2,
10
],
[
1746605193.240385,
20,
2,
10
],
[
1746605217.6484592,
20,
2,
10
],
[
1746605239.7167351,
20,
2,
10
],
[
1746605263.7647216,
20,
2,
10
],
[
1746605287.6504798,
20,
2,
10
],
[
1746605312.177815,
20,
2,
10
],
[
1746605333.8800101,
20,
2,
10
],
[
1746605357.6536841,
20,
2,
10
],
[
1746605381.4576628,
20,
2,
10
],
[
1746605404.091043,
20,
2,
10
],
[
1746605428.3935094,
20,
2,
10
],
[
1746605452.7719502,
20,
2,
10
],
[
1746605474.369097,
20,
2,
10
],
[
1746605498.4908662,
20,
2,
10
],
[
1746605522.6014705,
20,
2,
10
],
[
1746605544.1472075,
20,
2,
10
],
[
1746605567.973098,
20,
2,
10
],
[
1746605591.8208883,
20,
2,
10
],
[
1746605613.31391,
20,
2,
10
],
[
1746605637.1722226,
20,
2,
10
],
[
1746605661.3166249,
20,
2,
10
],
[
1746605683.7348146,
20,
2,
10
],
[
1746605707.874775,
20,
2,
10
],
[
1746605732.100888,
20,
2,
10
],
[
1746605756.014691,
20,
2,
10
],
[
1746605780.1171975,
20,
2,
10
],
[
1746605801.737922,
20,
2,
10
],
[
1746605825.6258054,
20,
2,
10
],
[
1746605849.3324673,
20,
2,
10
],
[
1746605873.2722135,
20,
2,
10
],
[
1746605897.152692,
20,
2,
10
],
[
1746605918.8657808,
20,
2,
10
],
[
1746605942.724253,
20,
2,
10
],
[
1746605965.2935138,
20,
2,
10
],
[
1746605988.243385,
20,
2,
10
],
[
1746606010.1393292,
20,
2,
10
],
[
1746606032.5820706,
20,
2,
10
],
[
1746606056.3612413,
20,
2,
10
],
[
1746606078.7753458,
20,
2,
10
],
[
1746606101.2929564,
20,
2,
10
],
[
1746606124.6113925,
20,
2,
10
],
[
1746606147.800194,
20,
2,
10
],
[
1746606170.1755204,
20,
2,
10
],
[
1746606192.5252872,
20,
2,
10
],
[
1746606216.4251068,
20,
1,
5
],
[
1746606233.6700227,
20,
1,
5
],
[
1746606250.8153577,
20,
1,
5
],
[
1746606268.7926092,
20,
1,
5
],
[
1746606285.837629,
20,
1,
5
],
[
1746606302.6772766,
20,
1,
5
],
[
1746606319.6949198,
20,
1,
5
],
[
1746606337.9234548,
20,
1,
5
],
[
1746606354.9954555,
20,
1,
5
],
[
1746606372.008177,
20,
1,
5
],
[
1746606387.9664714,
20,
1,
5
],
[
1746606403.801771,
20,
1,
5
],
[
1746606420.4153786,
20,
1,
5
],
[
1746606435.6412628,
20,
1,
5
],
[
1746606450.746127,
20,
1,
5
],
[
1746606466.3689992,
20,
1,
5
],
[
1746606482.7684937,
20,
1,
5
],
[
1746606500.3666928,
20,
1,
5
],
[
1746606516.4080822,
20,
1,
5
],
[
1746606532.404151,
20,
1,
5
],
[
1746606548.4605188,
20,
1,
5
],
[
1746606564.5036247,
20,
1,
5
],
[
1746606580.784298,
20,
1,
5
],
[
1746606597.443337,
20,
1,
5
],
[
1746606614.6919322,
20,
1,
5
],
[
1746606631.3648624,
20,
1,
5
],
[
1746606647.6972702,
20,
1,
5
],
[
1746606664.1989179,
20,
1,
5
],
[
1746606679.2335992,
20,
1,
5
],
[
1746606694.1277022,
20,
1,
5
],
[
1746606709.1419637,
20,
1,
5
],
[
1746606724.5609982,
20,
1,
5
],
[
1746606741.5089078,
20,
1,
5
],
[
1746606758.366226,
20,
1,
5
],
[
1746606775.0220528,
20,
1,
5
],
[
1746606791.7213855,
20,
1,
5
],
[
1746606808.457724,
20,
1,
5
],
[
1746606825.034704,
20,
1,
5
],
[
1746606842.7884815,
20,
1,
5
],
[
1746606860.025764,
20,
1,
5
],
[
1746606876.6682658,
20,
1,
5
],
[
1746606893.3865073,
20,
1,
5
],
[
1746606909.9346778,
20,
1,
5
],
[
1746606926.7606905,
20,
1,
5
],
[
1746606943.5688088,
20,
1,
5
],
[
1746606960.5154219,
20,
1,
5
],
[
1746606977.4733403,
20,
1,
5
],
[
1746606994.6987128,
20,
1,
5
],
[
1746607012.4224913,
20,
1,
5
],
[
1746607029.864436,
20,
1,
5
],
[
1746607047.2271073,
20,
1,
5
],
[
1746607064.849253,
20,
1,
5
],
[
1746607081.141313,
20,
1,
5
],
[
1746607098.5121403,
20,
1,
5
],
[
1746607116.5482035,
20,
1,
5
],
[
1746607134.2231915,
20,
1,
5
],
[
1746607151.6595688,
20,
1,
5
],
[
1746607169.2063007,
20,
1,
5
],
[
1746607185.3511918,
20,
1,
5
],
[
1746607202.9364057,
20,
1,
5
],
[
1746607220.2891068,
20,
1,
5
],
[
1746607237.5899177,
20,
1,
5
],
[
1746607255.2579648,
20,
1,
5
],
[
1746607271.818853,
20,
1,
5
],
[
1746607290.017057,
20,
1,
5
],
[
1746607307.350921,
20,
1,
5
],
[
1746607324.6847286,
20,
1,
5
],
[
1746607340.7677672,
20,
1,
5
],
[
1746607358.2001443,
20,
1,
5
],
[
1746607375.8439941,
20,
1,
5
],
[
1746607393.9509628,
20,
1,
5
],
[
1746607410.1128156,
20,
1,
5
],
[
1746607427.8094773,
20,
1,
5
],
[
1746607445.273306,
20,
1,
5
],
[
1746607461.4473183,
20,
1,
5
],
[
1746607478.9259872,
20,
1,
5
],
[
1746607496.377378,
20,
1,
5
],
[
1746607512.470428,
20,
1,
5
],
[
1746607529.9545038,
20,
1,
5
],
[
1746607547.5351088,
20,
1,
5
],
[
1746607563.9696777,
20,
1,
5
],
[
1746607581.644958,
20,
1,
5
],
[
1746607599.2835476,
20,
1,
5
],
[
1746607615.4785903,
20,
1,
5
],
[
1746607633.0833278,
20,
1,
5
],
[
1746607649.232871,
20,
1,
5
],
[
1746607667.3522859,
20,
1,
5
],
[
1746607685.2719526,
20,
1,
5
],
[
1746607701.544856,
20,
1,
5
],
[
1746607719.2955182,
20,
1,
5
],
[
1746607735.5593405,
20,
1,
5
],
[
1746607753.3104084,
20,
1,
5
],
[
1746607771.2052898,
20,
1,
5
],
[
1746607787.6425517,
20,
1,
5
],
[
1746607805.5126743,
20,
1,
5
],
[
1746607821.7620616,
20,
1,
5
],
[
1746607839.8713586,
20,
1,
5
],
[
1746607856.2645688,
20,
1,
5
],
[
1746607874.008979,
20,
1,
5
],
[
1746607890.1229763,
20,
1,
5
],
[
1746607907.8817854,
20,
1,
5
],
[
1746607924.251233,
20,
1,
5
],
[
1746607942.0121498,
20,
1,
5
],
[
1746607958.4534526,
20,
1,
5
],
[
1746607975.934747,
20,
1,
5
],
[
1746607992.082162,
20,
1,
5
],
[
1746608009.95532,
20,
1,
5
],
[
1746608026.3989608,
20,
1,
5
],
[
1746608045.0129793,
20,
1,
5
],
[
1746608061.496328,
20,
1,
5
],
[
1746608079.7362313,
20,
1,
5
],
[
1746608096.3767915,
20,
1,
5
],
[
1746608112.9682274,
20,
1,
5
],
[
1746608131.0972595,
20,
1,
5
],
[
1746608147.6751075,
20,
1,
5
],
[
1746608165.6854312,
20,
1,
5
],
[
1746608181.940986,
20,
1,
5
],
[
1746608200.0101156,
20,
1,
5
],
[
1746608216.3371184,
20,
1,
5
],
[
1746608232.7298017,
20,
1,
5
],
[
1746608250.7080152,
20,
1,
5
],
[
1746608267.5405557,
20,
1,
5
],
[
1746608285.8405564,
20,
1,
5
],
[
1746608302.1244996,
20,
1,
5
],
[
1746608318.4952059,
20,
1,
5
],
[
1746608336.5154095,
20,
1,
5
],
[
1746608352.7261994,
20,
1,
5
],
[
1746608369.018457,
20,
1,
5
],
[
1746608387.0597944,
20,
1,
5
],
[
1746608403.3093355,
20,
1,
5
],
[
1746608419.6189892,
20,
1,
5
],
[
1746608437.7684543,
20,
1,
5
],
[
1746608454.302661,
20,
1,
5
],
[
1746608472.6745286,
20,
1,
5
],
[
1746608489.1001751,
20,
1,
5
],
[
1746608505.7823777,
20,
1,
5
],
[
1746608524.1700344,
20,
1,
5
],
[
1746608541.1157062,
20,
1,
5
],
[
1746608557.8494139,
20,
1,
5
],
[
1746608574.5742574,
20,
1,
5
],
[
1746608592.939102,
20,
1,
5
],
[
1746608609.5499282,
20,
1,
5
],
[
1746608626.0400765,
20,
1,
5
],
[
1746608645.0692272,
20,
1,
5
],
[
1746608661.7940357,
20,
1,
5
],
[
1746608678.4077473,
20,
1,
5
],
[
1746608696.975395,
20,
1,
5
],
[
1746608713.733191,
20,
1,
5
],
[
1746608730.4726675,
20,
1,
5
],
[
1746608749.1083016,
20,
1,
5
],
[
1746608765.8317795,
20,
1,
5
],
[
1746608782.5769343,
20,
1,
5
],
[
1746608799.0984898,
20,
1,
5
],
[
1746608817.9474008,
20,
1,
5
],
[
1746608834.7984571,
20,
1,
5
],
[
1746608851.6049504,
20,
1,
5
],
[
1746608868.2958148,
20,
1,
5
],
[
1746608887.0384731,
20,
1,
5
],
[
1746608903.760602,
20,
1,
5
],
[
1746608920.5107725,
20,
1,
5
],
[
1746608937.2828717,
20,
1,
5
],
[
1746608955.609794,
20,
1,
5
],
[
1746608971.767599,
20,
1,
5
],
[
1746608988.2493277,
20,
1,
5
],
[
1746609004.6621006,
20,
1,
5
],
[
1746609021.415041,
20,
1,
5
],
[
1746609040.302285,
20,
1,
5
],
[
1746609056.9328961,
20,
1,
5
],
[
1746609073.7758706,
20,
1,
5
],
[
1746609090.690124,
20,
1,
5
],
[
1746609107.596115,
20,
1,
5
],
[
1746609126.2606745,
20,
1,
5
],
[
1746609142.91459,
20,
1,
5
],
[
1746609159.625895,
20,
1,
5
],
[
1746609176.5687807,
20,
1,
5
],
[
1746609193.6291032,
20,
1,
5
],
[
1746609212.8182805,
20,
1,
5
],
[
1746609229.572107,
20,
1,
5
],
[
1746609246.36551,
20,
1,
5
],
[
1746609263.041623,
20,
1,
5
],
[
1746609279.9160204,
20,
1,
5
],
[
1746609299.0894728,
20,
1,
5
],
[
1746609315.8520274,
20,
1,
5
],
[
1746609332.6352427,
20,
1,
5
],
[
1746609349.4024684,
20,
1,
5
],
[
1746609366.352226,
20,
1,
5
],
[
1746609383.2742527,
20,
1,
5
],
[
1746609400.1947832,
20,
1,
5
],
[
1746609419.192063,
20,
1,
5
],
[
1746609435.3855708,
20,
1,
5
],
[
1746609451.5487037,
20,
1,
5
],
[
1746609467.7286148,
20,
1,
5
],
[
1746609484.1955774,
20,
1,
5
],
[
1746609500.3762722,
20,
1,
5
],
[
1746609516.1843846,
20,
1,
5
],
[
1746609534.9423718,
20,
1,
5
],
[
1746609551.6319938,
20,
1,
5
],
[
1746609568.3166451,
20,
1,
5
],
[
1746609585.0323956,
20,
1,
5
],
[
1746609601.9671726,
20,
1,
5
],
[
1746609618.6269493,
20,
1,
5
],
[
1746609635.430911,
20,
1,
5
],
[
1746609652.2897859,
20,
1,
5
],
[
1746609671.0706096,
20,
1,
5
],
[
1746609687.6457164,
20,
1,
5
],
[
1746609704.1728663,
20,
1,
5
],
[
1746609720.9699326,
20,
1,
5
],
[
1746609737.982073,
20,
1,
5
],
[
1746609755.006698,
20,
1,
5
],
[
1746609771.9403389,
20,
1,
5
],
[
1746609789.0751112,
20,
1,
5
],
[
1746609806.0458188,
20,
1,
5
],
[
1746609822.9409966,
20,
1,
5
],
[
1746609840.040177,
20,
1,
5
],
[
1746609878.7657647,
20,
0,
0
],
[
1746612439.948583,
20,
0,
0
],
[
1746612440.64361,
20,
0,
0
],
[
1746612443.0833366,
20,
1,
5
],
[
1746612454.9360774,
20,
1,
5
],
[
1746614421.5096545,
20,
1,
5
],
[
1746614422.4704463,
20,
1,
5
],
[
1746614424.5377102,
20,
2,
10
],
[
1746614426.4888391,
20,
2,
10
],
[
1746614447.6058404,
20,
1,
5
],
[
1746614447.7797925,
20,
1,
5
],
[
1746616700.2996182,
20,
1,
5
],
[
1746616701.2217004,
20,
1,
5
],
[
1746616703.4642136,
20,
2,
10
],
[
1746616720.9213245,
20,
2,
10
],
[
1746618488.1349316,
20,
2,
10
],
[
1746618488.9529552,
20,
2,
10
],
[
1746618491.0684814,
20,
3,
15
],
[
1746618500.3470535,
20,
3,
15
],
[
1746618520.791096,
20,
2,
10
],
[
1746618520.9653702,
20,
2,
10
],
[
1746620687.0137718,
20,
2,
10
],
[
1746620687.7682307,
20,
2,
10
],
[
1746620689.6848817,
20,
3,
15
],
[
1746620714.8630712,
20,
3,
15
],
[
1746622796.923744,
20,
3,
15
],
[
1746622797.6722963,
20,
3,
15
],
[
1746622799.6243877,
20,
4,
20
],
[
1746622815.5380256,
20,
4,
20
],
[
1746622833.615188,
20,
3,
15
],
[
1746622855.3465781,
20,
2,
10
],
[
1746622855.5245428,
20,
2,
10
],
[
1746624803.1075623,
20,
2,
10
],
[
1746624803.8078568,
20,
2,
10
],
[
1746624805.6062784,
20,
3,
15
],
[
1746624831.3846545,
20,
3,
15
],
[
1746626788.1047728,
20,
3,
15
],
[
1746626788.6403565,
20,
3,
15
],
[
1746626790.3081498,
20,
4,
20
],
[
1746626806.173798,
20,
4,
20
],
[
1746626820.8649669,
20,
3,
15
],
[
1746626838.8600116,
20,
2,
10
],
[
1746626839.0285504,
20,
2,
10
],
[
1746628908.3331838,
20,
2,
10
],
[
1746628909.4823928,
20,
2,
10
],
[
1746628911.533474,
20,
3,
15
],
[
1746628935.940432,
20,
3,
15
],
[
1746630993.1363435,
20,
3,
15
],
[
1746630993.8849516,
20,
3,
15
],
[
1746630995.7529655,
20,
4,
20
],
[
1746631011.7375007,
20,
4,
20
],
[
1746631028.7716792,
20,
3,
15
],
[
1746631047.946935,
20,
2,
10
],
[
1746631048.1019566,
20,
2,
10
],
[
1746632858.2571733,
20,
2,
10
],
[
1746632858.9977489,
20,
2,
10
],
[
1746632860.8600843,
20,
3,
15
],
[
1746632884.2841663,
20,
3,
15
],
[
1746635090.7186468,
20,
3,
15
],
[
1746635091.484896,
20,
3,
15
],
[
1746635093.5214438,
20,
4,
20
],
[
1746635109.6879487,
20,
4,
20
],
[
1746635126.012271,
20,
3,
15
],
[
1746635144.2630525,
20,
2,
10
],
[
1746635144.4108639,
20,
2,
10
],
[
1746637192.516505,
20,
2,
10
],
[
1746637193.391276,
20,
2,
10
],
[
1746637195.4487433,
20,
3,
15
],
[
1746637217.9332464,
20,
3,
15
],
[
1746639185.6185055,
20,
3,
15
],
[
1746639186.4417286,
20,
3,
15
],
[
1746639188.565685,
20,
4,
20
],
[
1746639204.5747163,
20,
4,
20
],
[
1746639235.7094874,
20,
3,
15
],
[
1746639235.903763,
20,
3,
15
],
[
1746640751.1414502,
20,
3,
15
],
[
1746640751.8316011,
20,
3,
15
],
[
1746640753.6283605,
20,
4,
20
],
[
1746640767.045298,
20,
4,
20
],
[
1746640785.063581,
20,
3,
15
],
[
1746640785.2557046,
20,
3,
15
],
[
1746642602.586829,
20,
3,
15
],
[
1746642603.3802912,
20,
3,
15
],
[
1746642605.3653579,
20,
4,
20
],
[
1746642621.1846888,
20,
4,
20
],
[
1746642653.178961,
20,
3,
15
],
[
1746642653.357089,
20,
3,
15
],
[
1746644368.5082264,
20,
3,
15
],
[
1746644369.158931,
20,
3,
15
],
[
1746644371.1593125,
20,
4,
20
],
[
1746644382.0850942,
20,
4,
20
],
[
1746644400.1124706,
20,
3,
15
],
[
1746644400.2907126,
20,
3,
15
],
[
1746646460.1893115,
20,
3,
15
],
[
1746646460.956888,
20,
3,
15
],
[
1746646463.5741189,
20,
4,
20
],
[
1746646479.4327745,
20,
4,
20
],
[
1746646496.8797693,
20,
3,
15
],
[
1746646515.7959232,
20,
2,
10
],
[
1746646515.9579551,
20,
2,
10
],
[
1746648476.257556,
20,
2,
10
],
[
1746648476.697707,
20,
2,
10
],
[
1746648478.3674088,
20,
3,
15
],
[
1746648494.0312827,
20,
3,
15
],
[
1746648517.5322783,
20,
2,
10
],
[
1746648517.8600962,
20,
2,
10
],
[
1746650153.7573855,
20,
2,
10
],
[
1746650154.2435865,
20,
2,
10
],
[
1746650156.1844387,
20,
3,
15
],
[
1746650176.663543,
20,
3,
15
],
[
1746650198.3914497,
20,
3,
15
],
[
1746650215.01835,
20,
3,
15
],
[
1746650226.60039,
20,
2,
10
],
[
1746650226.8741012,
20,
2,
10
],
[
1746650247.34229,
20,
2,
10
],
[
1746650268.5274038,
20,
2,
10
],
[
1746650288.408457,
20,
2,
10
],
[
1746650308.0930362,
20,
2,
10
],
[
1746650330.3122163,
20,
2,
10
],
[
1746650350.7674274,
20,
2,
10
],
[
1746650372.17124,
20,
2,
10
],
[
1746650393.3867345,
20,
2,
10
],
[
1746650413.2875686,
20,
2,
10
],
[
1746650433.0239205,
20,
2,
10
],
[
1746650453.197751,
20,
2,
10
],
[
1746650472.9819064,
20,
2,
10
],
[
1746650493.7876115,
20,
2,
10
],
[
1746650514.3678718,
20,
2,
10
],
[
1746650534.8851216,
20,
2,
10
],
[
1746650555.2957742,
20,
2,
10
],
[
1746650575.9222658,
20,
2,
10
],
[
1746650596.9282334,
20,
2,
10
],
[
1746650616.921871,
20,
2,
10
],
[
1746650637.5003521,
20,
2,
10
],
[
1746650658.5500736,
20,
2,
10
],
[
1746650679.041096,
20,
2,
10
],
[
1746650700.8494248,
20,
2,
10
],
[
1746650722.206346,
20,
2,
10
],
[
1746650743.30963,
20,
2,
10
],
[
1746650763.58173,
20,
2,
10
],
[
1746650784.9583547,
20,
2,
10
],
[
1746650806.1947505,
20,
2,
10
],
[
1746650827.4651206,
20,
2,
10
],
[
1746650847.582425,
20,
2,
10
],
[
1746650868.654737,
20,
2,
10
],
[
1746650888.7354481,
20,
2,
10
],
[
1746650909.5282798,
20,
2,
10
],
[
1746650931.052526,
20,
2,
10
],
[
1746650950.8727922,
20,
2,
10
],
[
1746650971.7373245,
20,
2,
10
],
[
1746650992.0455809,
20,
2,
10
],
[
1746651013.61874,
20,
2,
10
],
[
1746651033.7745872,
20,
2,
10
],
[
1746651055.1760917,
20,
2,
10
],
[
1746651075.478759,
20,
2,
10
],
[
1746651096.448034,
20,
2,
10
],
[
1746651116.6641247,
20,
2,
10
],
[
1746651138.4914079,
20,
2,
10
],
[
1746651159.1525202,
20,
2,
10
],
[
1746651180.0765378,
20,
2,
10
],
[
1746651202.478878,
20,
2,
10
],
[
1746651223.4391003,
20,
2,
10
],
[
1746651243.7394922,
20,
2,
10
],
[
1746651265.1706066,
20,
2,
10
],
[
1746651285.0251997,
20,
2,
10
],
[
1746651305.5711963,
20,
2,
10
],
[
1746651327.1363506,
20,
2,
10
],
[
1746651347.612808,
20,
2,
10
],
[
1746651367.9410622,
20,
2,
10
],
[
1746651388.5088522,
20,
2,
10
],
[
1746651410.6867354,
20,
2,
10
],
[
1746651431.3136883,
20,
2,
10
],
[
1746651452.141684,
20,
2,
10
],
[
1746651473.127008,
20,
2,
10
],
[
1746651493.8538837,
20,
2,
10
],
[
1746651514.7463484,
20,
2,
10
],
[
1746651537.1522334,
20,
2,
10
],
[
1746651557.7139716,
20,
2,
10
],
[
1746651578.379344,
20,
2,
10
],
[
1746651598.409581,
20,
2,
10
],
[
1746651617.9410856,
20,
2,
10
],
[
1746651637.0022085,
20,
2,
10
],
[
1746651656.6225011,
20,
2,
10
],
[
1746651676.0618193,
20,
2,
10
],
[
1746651696.5637412,
20,
2,
10
],
[
1746651717.1354482,
20,
2,
10
],
[
1746651737.4984066,
20,
2,
10
],
[
1746651757.761618,
20,
2,
10
],
[
1746651777.9091988,
20,
2,
10
],
[
1746651798.5129268,
20,
2,
10
],
[
1746651819.0065756,
20,
2,
10
],
[
1746651840.1255975,
20,
2,
10
],
[
1746651860.917517,
20,
2,
10
],
[
1746651882.0011282,
20,
2,
10
],
[
1746651900.060433,
20,
2,
10
],
[
1746651920.3528202,
20,
2,
10
],
[
1746651940.966204,
20,
2,
10
],
[
1746651961.9784229,
20,
2,
10
],
[
1746651982.9353347,
20,
2,
10
],
[
1746652003.9337611,
20,
2,
10
],
[
1746652025.468043,
20,
2,
10
],
[
1746652046.7021697,
20,
2,
10
],
[
1746652067.8401365,
20,
2,
10
],
[
1746652089.303548,
20,
2,
10
],
[
1746652110.5691907,
20,
2,
10
],
[
1746652130.0488694,
20,
2,
10
],
[
1746652150.7997994,
20,
2,
10
],
[
1746652171.7643433,
20,
2,
10
],
[
1746652192.761928,
20,
2,
10
],
[
1746652213.8744624,
20,
2,
10
],
[
1746652234.944909,
20,
2,
10
],
[
1746652255.9222128,
20,
2,
10
],
[
1746652275.4017186,
20,
2,
10
],
[
1746652296.0082273,
20,
2,
10
],
[
1746652317.6670973,
20,
2,
10
],
[
1746652339.0254154,
20,
2,
10
],
[
1746652359.2060988,
20,
2,
10
],
[
1746652380.4800007,
20,
2,
10
],
[
1746652401.4620235,
20,
2,
10
],
[
1746652422.3622475,
20,
2,
10
],
[
1746652443.5764732,
20,
2,
10
],
[
1746652463.0854847,
20,
2,
10
],
[
1746652484.475859,
20,
2,
10
],
[
1746652505.9020452,
20,
2,
10
],
[
1746652527.6838748,
20,
2,
10
],
[
1746652547.656562,
20,
2,
10
],
[
1746652569.0870125,
20,
2,
10
],
[
1746652590.721354,
20,
2,
10
],
[
1746652610.3069293,
20,
2,
10
],
[
1746652631.4846995,
20,
2,
10
],
[
1746652652.423109,
20,
2,
10
],
[
1746652673.5696492,
20,
2,
10
],
[
1746652692.6473148,
20,
2,
10
],
[
1746652714.4025202,
20,
2,
10
],
[
1746652736.1623237,
20,
2,
10
],
[
1746652755.791239,
20,
2,
10
],
[
1746652777.260856,
20,
2,
10
],
[
1746652798.27521,
20,
2,
10
],
[
1746652817.8854258,
20,
2,
10
],
[
1746652838.5885563,
20,
2,
10
],
[
1746652860.1289566,
20,
2,
10
],
[
1746652879.690917,
20,
2,
10
],
[
1746652900.9518008,
20,
2,
10
],
[
1746652921.5349538,
20,
2,
10
],
[
1746652942.8405466,
20,
2,
10
],
[
1746652964.4811826,
20,
2,
10
],
[
1746652984.449463,
20,
2,
10
],
[
1746653006.2222195,
20,
2,
10
],
[
1746653027.606298,
20,
2,
10
],
[
1746653049.2121577,
20,
2,
10
],
[
1746653070.8486032,
20,
2,
10
],
[
1746653090.7035751,
20,
2,
10
],
[
1746653112.7098222,
20,
2,
10
],
[
1746653132.9809785,
20,
2,
10
],
[
1746653153.1293037,
20,
2,
10
],
[
1746653172.6376169,
20,
2,
10
],
[
1746653192.8808477,
20,
2,
10
],
[
1746653213.628256,
20,
2,
10
],
[
1746653233.9168804,
20,
2,
10
],
[
1746653255.0157807,
20,
2,
10
],
[
1746653275.426992,
20,
2,
10
],
[
1746653296.344727,
20,
2,
10
],
[
1746653316.1500995,
20,
2,
10
],
[
1746653337.7457922,
20,
2,
10
],
[
1746653357.9476304,
20,
2,
10
],
[
1746653378.6131613,
20,
2,
10
],
[
1746653398.6560423,
20,
2,
10
],
[
1746653419.468492,
20,
2,
10
],
[
1746653440.4369712,
20,
2,
10
],
[
1746653460.35089,
20,
2,
10
],
[
1746653481.3333085,
20,
2,
10
],
[
1746653501.6416893,
20,
2,
10
],
[
1746653522.0506225,
20,
2,
10
],
[
1746653543.0128229,
20,
2,
10
],
[
1746653563.306942,
20,
2,
10
],
[
1746653584.2704818,
20,
2,
10
],
[
1746653605.040062,
20,
2,
10
],
[
1746653626.0007327,
20,
2,
10
],
[
1746653645.985297,
20,
2,
10
],
[
1746653666.5644963,
20,
2,
10
],
[
1746653687.4104927,
20,
2,
10
],
[
1746653708.904701,
20,
2,
10
],
[
1746653730.0581808,
20,
2,
10
],
[
1746653750.4763165,
20,
2,
10
],
[
1746653770.8630698,
20,
2,
10
],
[
1746653791.3003747,
20,
2,
10
],
[
1746653811.5606792,
20,
2,
10
],
[
1746653831.9161382,
20,
2,
10
],
[
1746653851.7039673,
20,
2,
10
],
[
1746653871.9932094,
20,
2,
10
],
[
1746653892.3937252,
20,
2,
10
],
[
1746653913.0815642,
20,
2,
10
],
[
1746653933.9418573,
20,
2,
10
],
[
1746653954.218591,
20,
2,
10
],
[
1746653973.7868955,
20,
2,
10
],
[
1746653993.8800225,
20,
2,
10
],
[
1746654013.9981923,
20,
1,
5
],
[
1746654028.7801826,
20,
1,
5
],
[
1746654044.4733024,
20,
1,
5
],
[
1746654060.0734968,
20,
1,
5
],
[
1746654075.3823986,
20,
1,
5
],
[
1746654090.4018834,
20,
1,
5
],
[
1746654105.9665797,
20,
1,
5
],
[
1746654121.8913963,
20,
1,
5
],
[
1746654136.9796295,
20,
1,
5
],
[
1746654153.1892893,
20,
1,
5
],
[
1746654169.2156692,
20,
1,
5
],
[
1746654185.04224,
20,
1,
5
],
[
1746654200.7908583,
20,
1,
5
],
[
1746654216.8196633,
20,
1,
5
],
[
1746654231.2365146,
20,
1,
5
],
[
1746654247.1585,
20,
1,
5
],
[
1746654263.4448307,
20,
1,
5
],
[
1746654279.5823984,
20,
1,
5
],
[
1746654295.517663,
20,
1,
5
],
[
1746654309.9295976,
20,
1,
5
],
[
1746654324.7923026,
20,
1,
5
],
[
1746654339.6852396,
20,
1,
5
],
[
1746654355.2709625,
20,
1,
5
],
[
1746654371.5626416,
20,
1,
5
],
[
1746654387.7576659,
20,
1,
5
],
[
1746654403.8591976,
20,
1,
5
],
[
1746654419.926392,
20,
1,
5
],
[
1746654434.60931,
20,
1,
5
],
[
1746654450.6948047,
20,
1,
5
],
[
1746654466.8750186,
20,
1,
5
],
[
1746654481.6180274,
20,
1,
5
],
[
1746654498.009111,
20,
1,
5
],
[
1746654514.2506557,
20,
1,
5
],
[
1746654529.4344573,
20,
1,
5
],
[
1746654545.72414,
20,
1,
5
],
[
1746654561.709027,
20,
1,
5
],
[
1746654576.5471754,
20,
1,
5
],
[
1746654592.6284938,
20,
1,
5
],
[
1746654608.6410992,
20,
1,
5
],
[
1746654623.7874308,
20,
1,
5
],
[
1746654639.8622332,
20,
1,
5
],
[
1746654654.3964324,
20,
1,
5
],
[
1746654669.8763716,
20,
1,
5
],
[
1746654684.9749746,
20,
1,
5
],
[
1746654699.3080032,
20,
1,
5
],
[
1746654715.136018,
20,
1,
5
],
[
1746654729.6002192,
20,
1,
5
],
[
1746654745.388948,
20,
1,
5
],
[
1746654761.8332038,
20,
1,
5
],
[
1746654777.408828,
20,
1,
5
],
[
1746654793.791337,
20,
1,
5
],
[
1746654808.7688901,
20,
1,
5
],
[
1746654825.0167398,
20,
1,
5
],
[
1746654839.887757,
20,
1,
5
],
[
1746654856.1060247,
20,
1,
5
],
[
1746654871.4019039,
20,
1,
5
],
[
1746654887.452537,
20,
1,
5
],
[
1746654902.1798823,
20,
1,
5
],
[
1746654918.1373944,
20,
1,
5
],
[
1746654932.9788172,
20,
1,
5
],
[
1746654949.075549,
20,
1,
5
],
[
1746654963.9215055,
20,
1,
5
],
[
1746654980.4057148,
20,
1,
5
],
[
1746654995.5534403,
20,
1,
5
],
[
1746655012.5301728,
20,
1,
5
],
[
1746655027.9136279,
20,
1,
5
],
[
1746655044.5746732,
20,
1,
5
],
[
1746655059.9122274,
20,
1,
5
],
[
1746655076.7407086,
20,
1,
5
],
[
1746655092.1286666,
20,
1,
5
],
[
1746655108.776158,
20,
1,
5
],
[
1746655124.1215878,
20,
1,
5
],
[
1746655140.9773138,
20,
1,
5
],
[
1746655156.157018,
20,
1,
5
],
[
1746655171.124931,
20,
1,
5
],
[
1746655186.9578114,
20,
1,
5
],
[
1746655201.9350011,
20,
1,
5
],
[
1746655220.42327,
20,
1,
5
],
[
1746655237.4727786,
20,
1,
5
],
[
1746655254.2657647,
20,
1,
5
],
[
1746655272.5820622,
20,
1,
5
],
[
1746655289.297905,
20,
1,
5
],
[
1746655305.9226823,
20,
1,
5
],
[
1746655324.1283853,
20,
1,
5
],
[
1746655340.5510008,
20,
1,
5
],
[
1746655358.86533,
20,
1,
5
],
[
1746655375.3690462,
20,
1,
5
],
[
1746655391.899349,
20,
1,
5
],
[
1746655410.186547,
20,
1,
5
],
[
1746655426.367739,
20,
1,
5
],
[
1746655442.6993496,
20,
1,
5
],
[
1746655460.8910275,
20,
1,
5
],
[
1746655477.317387,
20,
1,
5
],
[
1746655493.8788059,
20,
1,
5
],
[
1746655512.6368608,
20,
1,
5
],
[
1746655528.9572034,
20,
1,
5
],
[
1746655545.3129835,
20,
1,
5
],
[
1746655563.3411627,
20,
1,
5
],
[
1746655579.9703603,
20,
1,
5
],
[
1746655596.7548287,
20,
1,
5
],
[
1746655613.280867,
20,
1,
5
],
[
1746655631.7900395,
20,
1,
5
],
[
1746655648.4069412,
20,
1,
5
],
[
1746655665.4821155,
20,
1,
5
],
[
1746655685.056572,
20,
1,
5
],
[
1746655701.939078,
20,
1,
5
],
[
1746655718.6919594,
20,
1,
5
],
[
1746655735.4127607,
20,
1,
5
],
[
1746655754.149527,
20,
1,
5
],
[
1746655770.9137216,
20,
1,
5
],
[
1746655788.1733873,
20,
1,
5
],
[
1746655805.1515605,
20,
1,
5
],
[
1746655842.4186943,
20,
0,
0
],
[
1746657233.632898,
20,
0,
0
],
[
1746657234.3037283,
20,
0,
0
],
[
1746657237.8014526,
20,
1,
5
],
[
1746657249.9624546,
20,
1,
5
],
[
1746658680.4951751,
20,
1,
5
],
[
1746658681.3962483,
20,
1,
5
],
[
1746658683.4476764,
20,
2,
10
],
[
1746658701.7130885,
20,
2,
10
],
[
1746660174.5038218,
20,
2,
10
],
[
1746660175.4607933,
20,
2,
10
],
[
1746660177.545486,
20,
3,
15
],
[
1746660184.4233556,
20,
3,
15
],
[
1746660203.9097273,
20,
2,
10
],
[
1746660204.0796127,
20,
2,
10
],
[
1746662388.255083,
20,
2,
10
],
[
1746662389.0194585,
20,
2,
10
],
[
1746662390.9393208,
20,
3,
15
],
[
1746662415.8948212,
20,
3,
15
],
[
1746664489.5419042,
20,
3,
15
],
[
1746664490.4584675,
20,
3,
15
],
[
1746664492.536674,
20,
4,
20
],
[
1746664508.422507,
20,
4,
20
],
[
1746664524.8543417,
20,
3,
15
],
[
1746664545.4205494,
20,
2,
10
],
[
1746664545.6015666,
20,
2,
10
],
[
1746666732.8176084,
20,
2,
10
],
[
1746666733.5282586,
20,
2,
10
],
[
1746666735.5408018,
20,
3,
15
],
[
1746666760.9019868,
20,
3,
15
],
[
1746668724.973175,
20,
3,
15
],
[
1746668725.677449,
20,
3,
15
],
[
1746668727.5655882,
20,
4,
20
],
[
1746668743.4273984,
20,
4,
20
],
[
1746668761.7512646,
20,
3,
15
],
[
1746668769.6293874,
20,
2,
10
],
[
1746668784.7590466,
20,
1,
5
],
[
1746668784.9166713,
20,
1,
5
],
[
1746670626.742014,
20,
1,
5
],
[
1746670627.446349,
20,
1,
5
],
[
1746670629.5155306,
20,
2,
10
],
[
1746670646.2345648,
20,
2,
10
],
[
1746672175.3155024,
20,
2,
10
],
[
1746672176.3290586,
20,
2,
10
],
[
1746672178.536809,
20,
3,
15
],
[
1746672194.428315,
20,
3,
15
],
[
1746672222.660801,
20,
2,
10
],
[
1746672222.9105453,
20,
2,
10
],
[
1746673639.5812535,
20,
2,
10
],
[
1746673640.3815114,
20,
2,
10
],
[
1746673642.4822607,
20,
3,
15
],
[
1746673668.1757855,
20,
3,
15
],
[
1746675136.3723397,
20,
3,
15
],
[
1746675137.3933778,
20,
3,
15
],
[
1746675139.4737644,
20,
4,
20
],
[
1746675169.5699542,
20,
4,
20
],
[
1746676836.0661972,
20,
4,
20
],
[
1746676836.801093,
20,
4,
20
],
[
1746676838.6175375,
20,
5,
25
],
[
1746676874.2825048,
20,
5,
25
],
[
1746678208.5617204,
20,
5,
25
],
[
1746678209.4413671,
20,
5,
25
],
[
1746678211.5212708,
20,
6,
30
],
[
1746678227.4451842,
20,
6,
30
],
[
1746678254.8868809,
20,
5,
25
],
[
1746678274.7386818,
20,
4,
20
],
[
1746678274.8671982,
20,
4,
20
],
[
1746680133.1768293,
20,
4,
20
],
[
1746680133.8680778,
20,
4,
20
],
[
1746680135.6801982,
20,
5,
25
],
[
1746680151.463858,
20,
5,
25
],
[
1746680188.3424323,
20,
4,
20
],
[
1746680188.527763,
20,
4,
20
],
[
1746681944.8967957,
20,
4,
20
],
[
1746681945.6615093,
20,
4,
20
],
[
1746681947.5204449,
20,
5,
25
],
[
1746681963.395229,
20,
5,
25
],
[
1746681987.2905533,
20,
4,
20
],
[
1746681995.097148,
20,
3,
15
],
[
1746682009.9812,
20,
2,
10
],
[
1746682010.1202416,
20,
2,
10
],
[
1746683703.2925177,
20,
2,
10
],
[
1746683704.2265432,
20,
2,
10
],
[
1746683706.3546965,
20,
3,
15
],
[
1746683722.2083962,
20,
3,
15
],
[
1746683748.5755973,
20,
2,
10
],
[
1746683748.9161785,
20,
2,
10
],
[
1746685897.5702944,
20,
2,
10
],
[
1746685898.4123285,
20,
2,
10
],
[
1746685900.5371928,
20,
3,
15
],
[
1746685916.5270565,
20,
3,
15
],
[
1746685928.5814335,
20,
2,
10
],
[
1746685946.9118953,
20,
1,
5
],
[
1746685947.0569925,
20,
1,
5
],
[
1746687843.0243037,
20,
1,
5
],
[
1746687843.6196663,
20,
1,
5
],
[
1746687845.3924537,
20,
2,
10
],
[
1746687862.8814864,
20,
2,
10
],
[
1746689934.910671,
20,
2,
10
],
[
1746689935.6176617,
20,
2,
10
],
[
1746689937.4652526,
20,
3,
15
],
[
1746689944.3070798,
20,
3,
15
],
[
1746689964.6215813,
20,
2,
10
],
[
1746689964.753474,
20,
2,
10
],
[
1746691864.497149,
20,
2,
10
],
[
1746691865.409105,
20,
2,
10
],
[
1746691867.4250178,
20,
3,
15
],
[
1746691893.2991219,
20,
3,
15
],
[
1746691905.9026215,
20,
3,
15
],
[
1746691918.8471758,
20,
2,
10
],
[
1746691920.3855672,
20,
2,
10
],
[
1746691944.0998673,
20,
2,
10
],
[
1746691968.1447647,
20,
2,
10
],
[
1746691991.8665576,
20,
2,
10
],
[
1746692013.1021452,
20,
2,
10
],
[
1746692036.1273656,
20,
2,
10
],
[
1746692059.4669995,
20,
2,
10
],
[
1746692082.415376,
20,
2,
10
],
[
1746692106.439434,
20,
2,
10
],
[
1746692130.4050376,
20,
2,
10
],
[
1746692152.1547701,
20,
2,
10
],
[
1746692176.0665166,
20,
2,
10
],
[
1746692198.482211,
20,
2,
10
],
[
1746692221.4275305,
20,
2,
10
],
[
1746692244.8840413,
20,
2,
10
],
[
1746692267.021379,
20,
2,
10
],
[
1746692290.011596,
20,
2,
10
],
[
1746692311.8387988,
20,
2,
10
],
[
1746692334.403419,
20,
2,
10
],
[
1746692357.0602918,
20,
2,
10
],
[
1746692379.4469888,
20,
2,
10
],
[
1746692403.237576,
20,
2,
10
],
[
1746692425.8779013,
20,
2,
10
],
[
1746692448.2725146,
20,
2,
10
],
[
1746692471.557393,
20,
2,
10
],
[
1746692493.7782526,
20,
2,
10
],
[
1746692516.5979836,
20,
2,
10
],
[
1746692539.6593244,
20,
2,
10
],
[
1746692561.9715374,
20,
2,
10
],
[
1746692585.5589075,
20,
2,
10
],
[
1746692607.9401531,
20,
2,
10
],
[
1746692630.1175416,
20,
2,
10
],
[
1746692653.531786,
20,
2,
10
],
[
1746692675.8810601,
20,
2,
10
],
[
1746692698.5099945,
20,
2,
10
],
[
1746692721.6635113,
20,
2,
10
],
[
1746692743.7202058,
20,
2,
10
],
[
1746692765.652618,
20,
2,
10
],
[
1746692788.4537718,
20,
2,
10
],
[
1746692812.2135623,
20,
2,
10
],
[
1746692834.7964299,
20,
2,
10
],
[
1746692857.4364622,
20,
2,
10
],
[
1746692880.2961183,
20,
2,
10
],
[
1746692902.8351169,
20,
2,
10
],
[
1746692926.6971464,
20,
2,
10
],
[
1746692949.310221,
20,
2,
10
],
[
1746692972.5181527,
20,
2,
10
],
[
1746692995.1507738,
20,
2,
10
],
[
1746693017.9844112,
20,
2,
10
],
[
1746693040.7414644,
20,
2,
10
],
[
1746693063.7121792,
20,
2,
10
],
[
1746693086.8449237,
20,
2,
10
],
[
1746693109.6349392,
20,
2,
10
],
[
1746693132.4701397,
20,
2,
10
],
[
1746693155.043828,
20,
2,
10
],
[
1746693177.6980362,
20,
2,
10
],
[
1746693200.4180593,
20,
2,
10
],
[
1746693223.4521,
20,
2,
10
],
[
1746693247.2142303,
20,
2,
10
],
[
1746693270.3235276,
20,
2,
10
],
[
1746693293.3077905,
20,
2,
10
],
[
1746693315.3547084,
20,
2,
10
],
[
1746693338.5212748,
20,
2,
10
],
[
1746693361.8791692,
20,
2,
10
],
[
1746693384.97452,
20,
2,
10
],
[
1746693406.981844,
20,
2,
10
],
[
1746693428.5809329,
20,
2,
10
],
[
1746693448.359817,
20,
1,
5
],
[
1746693448.622063,
20,
1,
5
],
[
1746693465.1065464,
20,
1,
5
],
[
1746693481.0928898,
20,
1,
5
],
[
1746693497.493859,
20,
1,
5
],
[
1746693512.652091,
20,
1,
5
],
[
1746693528.8780887,
20,
1,
5
],
[
1746693545.1552072,
20,
1,
5
],
[
1746693561.3467386,
20,
1,
5
],
[
1746693576.7115874,
20,
1,
5
],
[
1746693592.8392467,
20,
1,
5
],
[
1746693609.4329019,
20,
1,
5
],
[
1746693626.3149972,
20,
1,
5
],
[
1746693642.5947654,
20,
1,
5
],
[
1746693660.2775137,
20,
1,
5
],
[
1746693677.8400326,
20,
1,
5
],
[
1746693694.1548653,
20,
1,
5
],
[
1746693711.7664623,
20,
1,
5
],
[
1746693729.5282469,
20,
1,
5
],
[
1746693746.0945356,
20,
1,
5
],
[
1746693763.5205984,
20,
1,
5
],
[
1746693780.95692,
20,
1,
5
],
[
1746693796.807186,
20,
1,
5
],
[
1746693814.411559,
20,
1,
5
],
[
1746693832.1983955,
20,
1,
5
],
[
1746693848.535801,
20,
1,
5
],
[
1746693866.2818897,
20,
1,
5
],
[
1746693882.574566,
20,
1,
5
],
[
1746693900.2954273,
20,
1,
5
],
[
1746693918.5197735,
20,
1,
5
],
[
1746693934.6929538,
20,
1,
5
],
[
1746693952.374467,
20,
1,
5
],
[
1746693968.480864,
20,
1,
5
],
[
1746693985.8957925,
20,
1,
5
],
[
1746694002.039011,
20,
1,
5
],
[
1746694020.2739422,
20,
1,
5
],
[
1746694038.3540432,
20,
1,
5
],
[
1746694054.8870173,
20,
1,
5
],
[
1746694072.8686905,
20,
1,
5
],
[
1746694089.1192765,
20,
1,
5
],
[
1746694107.0859563,
20,
1,
5
],
[
1746694123.2910497,
20,
1,
5
],
[
1746694141.1467412,
20,
1,
5
],
[
1746694157.470282,
20,
1,
5
],
[
1746694175.3833067,
20,
1,
5
],
[
1746694192.0656567,
20,
1,
5
],
[
1746694209.436067,
20,
1,
5
],
[
1746694224.3500497,
20,
1,
5
],
[
1746694240.4839902,
20,
1,
5
],
[
1746694256.411412,
20,
1,
5
],
[
1746694273.9976768,
20,
1,
5
],
[
1746694290.8271954,
20,
1,
5
],
[
1746694309.0832162,
20,
1,
5
],
[
1746694325.6857462,
20,
1,
5
],
[
1746694344.0203314,
20,
1,
5
],
[
1746694360.5980825,
20,
1,
5
],
[
1746694377.027729,
20,
1,
5
],
[
1746694394.6823955,
20,
1,
5
],
[
1746694410.6934848,
20,
1,
5
],
[
1746694428.7362502,
20,
1,
5
],
[
1746694445.0787792,
20,
1,
5
],
[
1746694463.4180179,
20,
1,
5
],
[
1746694480.1795924,
20,
1,
5
],
[
1746694496.8778908,
20,
1,
5
],
[
1746694515.4675398,
20,
1,
5
],
[
1746694532.2266145,
20,
1,
5
],
[
1746694548.928321,
20,
1,
5
],
[
1746694567.6512218,
20,
1,
5
],
[
1746694584.4985676,
20,
1,
5
],
[
1746694603.3112326,
20,
1,
5
],
[
1746694620.0047708,
20,
1,
5
],
[
1746694637.073321,
20,
1,
5
],
[
1746694655.7278879,
20,
1,
5
],
[
1746694672.548515,
20,
1,
5
],
[
1746694689.3442745,
20,
1,
5
],
[
1746694708.0127206,
20,
1,
5
],
[
1746694724.5994775,
20,
1,
5
],
[
1746694741.4341655,
20,
1,
5
],
[
1746694760.709964,
20,
1,
5
],
[
1746694777.4794,
20,
1,
5
],
[
1746694794.4319365,
20,
1,
5
],
[
1746694813.2411375,
20,
1,
5
],
[
1746694830.038,
20,
1,
5
],
[
1746694846.8785393,
20,
1,
5
],
[
1746694864.2304544,
20,
1,
5
],
[
1746694883.1636806,
20,
1,
5
],
[
1746694900.1664686,
20,
1,
5
],
[
1746694917.1295903,
20,
1,
5
],
[
1746694936.1614063,
20,
1,
5
],
[
1746694952.9936259,
20,
1,
5
],
[
1746694969.996778,
20,
1,
5
],
[
1746694986.8435106,
20,
1,
5
],
[
1746695005.4951446,
20,
1,
5
],
[
1746695022.4004552,
20,
1,
5
],
[
1746695039.6352868,
20,
1,
5
],
[
1746695056.4485304,
20,
1,
5
],
[
1746695075.4188385,
20,
1,
5
],
[
1746695092.3129582,
20,
1,
5
],
[
1746695109.1276784,
20,
1,
5
],
[
1746695125.9294884,
20,
1,
5
],
[
1746695145.3411777,
20,
1,
5
],
[
1746695162.39403,
20,
1,
5
],
[
1746695179.4152763,
20,
1,
5
],
[
1746695196.4485452,
20,
1,
5
],
[
1746695217.8500373,
20,
1,
5
],
[
1746695235.1361153,
20,
1,
5
],
[
1746695251.9273577,
20,
1,
5
],
[
1746695268.6581008,
20,
1,
5
],
[
1746695287.3782072,
20,
1,
5
],
[
1746695304.101048,
20,
1,
5
],
[
1746695321.205121,
20,
1,
5
],
[
1746695338.3447297,
20,
1,
5
],
[
1746695355.2138941,
20,
1,
5
],
[
1746695374.2713454,
20,
1,
5
],
[
1746695391.3593402,
20,
1,
5
],
[
1746695408.4514015,
20,
1,
5
],
[
1746695425.5288444,
20,
1,
5
],
[
1746695442.6334696,
20,
1,
5
],
[
1746695459.9010732,
20,
1,
5
],
[
1746695478.998683,
20,
1,
5
],
[
1746695496.188988,
20,
1,
5
],
[
1746695513.2368298,
20,
1,
5
],
[
1746695530.4343402,
20,
1,
5
],
[
1746695547.2082565,
20,
1,
5
],
[
1746695566.2979684,
20,
1,
5
],
[
1746695583.350704,
20,
1,
5
],
[
1746695600.4220634,
20,
1,
5
],
[
1746695617.6586022,
20,
1,
5
],
[
1746695635.034238,
20,
1,
5
],
[
1746695652.1241014,
20,
1,
5
],
[
1746695669.3107202,
20,
1,
5
],
[
1746695688.5661333,
20,
1,
5
],
[
1746695705.6455586,
20,
1,
5
],
[
1746695722.7982378,
20,
1,
5
],
[
1746695739.8853421,
20,
1,
5
],
[
1746695756.767506,
20,
1,
5
],
[
1746695773.734604,
20,
1,
5
],
[
1746695790.832938,
20,
1,
5
],
[
1746695810.1795273,
20,
1,
5
],
[
1746695827.2428536,
20,
1,
5
],
[
1746695844.2493134,
20,
1,
5
],
[
1746695861.375545,
20,
1,
5
],
[
1746695878.5870645,
20,
1,
5
],
[
1746695895.5126705,
20,
1,
5
],
[
1746695912.4874883,
20,
1,
5
],
[
1746695929.0568986,
20,
1,
5
],
[
1746695947.8015857,
20,
1,
5
],
[
1746695964.5581908,
20,
1,
5
],
[
1746695981.0025535,
20,
1,
5
],
[
1746695998.02278,
20,
1,
5
],
[
1746696015.068705,
20,
1,
5
],
[
1746696031.9580622,
20,
1,
5
],
[
1746696048.6271842,
20,
1,
5
],
[
1746696067.3845568,
20,
1,
5
],
[
1746696084.105532,
20,
1,
5
],
[
1746696101.2483597,
20,
1,
5
],
[
1746696118.1306224,
20,
1,
5
],
[
1746696136.871231,
20,
1,
5
],
[
1746696153.7442522,
20,
1,
5
],
[
1746696170.750342,
20,
1,
5
],
[
1746696187.9210684,
20,
1,
5
],
[
1746696206.9675593,
20,
1,
5
],
[
1746696224.0750513,
20,
1,
5
],
[
1746696241.039111,
20,
1,
5
],
[
1746696258.0436099,
20,
1,
5
],
[
1746696274.8868473,
20,
1,
5
],
[
1746696294.2052507,
20,
1,
5
],
[
1746696311.289933,
20,
1,
5
],
[
1746696328.1872199,
20,
1,
5
],
[
1746696344.8538668,
20,
1,
5
],
[
1746696362.4721158,
20,
1,
5
],
[
1746696379.3636281,
20,
1,
5
],
[
1746696396.1591582,
20,
1,
5
],
[
1746696413.7378695,
20,
1,
5
],
[
1746696430.4363875,
20,
1,
5
],
[
1746696447.9844875,
20,
1,
5
],
[
1746696464.8383408,
20,
1,
5
],
[
1746696481.7511153,
20,
1,
5
],
[
1746696499.9112,
20,
1,
5
],
[
1746696516.7656202,
20,
1,
5
],
[
1746696533.5096097,
20,
1,
5
],
[
1746696551.4578226,
20,
1,
5
],
[
1746696568.2628357,
20,
1,
5
],
[
1746696585.2206168,
20,
1,
5
],
[
1746696603.576453,
20,
1,
5
],
[
1746696620.5142303,
20,
1,
5
],
[
1746696637.5020268,
20,
1,
5
],
[
1746696654.4220526,
20,
1,
5
],
[
1746696672.3450198,
20,
1,
5
],
[
1746696689.2831182,
20,
1,
5
],
[
1746696706.484826,
20,
1,
5
],
[
1746696723.6473262,
20,
1,
5
],
[
1746696741.8427432,
20,
1,
5
],
[
1746696758.8365793,
20,
1,
5
],
[
1746696775.6427748,
20,
1,
5
],
[
1746696792.6305046,
20,
1,
5
],
[
1746696810.6328418,
20,
1,
5
],
[
1746696827.4670577,
20,
1,
5
],
[
1746696844.4668837,
20,
1,
5
],
[
1746696862.3987417,
20,
1,
5
],
[
1746696879.547219,
20,
1,
5
],
[
1746696897.101336,
20,
1,
5
],
[
1746696914.2633917,
20,
1,
5
],
[
1746696930.706271,
20,
1,
5
],
[
1746696946.9860432,
20,
1,
5
],
[
1746696963.897979,
20,
1,
5
],
[
1746696979.4612281,
20,
1,
5
],
[
1746696996.7214909,
20,
1,
5
],
[
1746697014.1482425,
20,
1,
5
],
[
1746697033.1042852,
20,
1,
5
],
[
1746697050.500866,
20,
1,
5
],
[
1746697067.5396302,
20,
1,
5
],
[
1746697084.6026678,
20,
1,
5
],
[
1746697101.5534859,
20,
1,
5
],
[
1746697118.7703245,
20,
1,
5
],
[
1746697135.9691803,
20,
1,
5
],
[
1746697153.0572038,
20,
1,
5
],
[
1746697171.7733674,
20,
1,
5
],
[
1746697189.034104,
20,
1,
5
],
[
1746697206.198451,
20,
1,
5
],
[
1746697223.2929852,
20,
1,
5
],
[
1746697240.3056033,
20,
1,
5
],
[
1746697257.5822587,
20,
1,
5
],
[
1746697275.2310574,
20,
1,
5
],
[
1746697292.741431,
20,
1,
5
],
[
1746697310.087429,
20,
1,
5
],
[
1746697327.3425164,
20,
1,
5
],
[
1746697344.7178142,
20,
1,
5
],
[
1746697362.183151,
20,
1,
5
],
[
1746697379.4680486,
20,
1,
5
],
[
1746697396.614108,
20,
1,
5
],
[
1746697413.8509881,
20,
1,
5
],
[
1746697431.4842741,
20,
1,
5
],
[
1746697448.9534225,
20,
1,
5
],
[
1746697466.825211,
20,
1,
5
],
[
1746697484.338144,
20,
1,
5
],
[
1746697501.5422325,
20,
1,
5
],
[
1746697518.8126268,
20,
1,
5
],
[
1746697536.1350954,
20,
1,
5
],
[
1746697553.481975,
20,
1,
5
],
[
1746697571.0511155,
20,
1,
5
],
[
1746697588.426711,
20,
1,
5
],
[
1746697605.884383,
20,
1,
5
],
[
1746697623.4849849,
20,
1,
5
],
[
1746697660.3754396,
20,
0,
0
],
[
1746699793.3320103,
20,
0,
0
],
[
1746699794.0149314,
20,
0,
0
],
[
1746699796.501402,
20,
1,
5
],
[
1746699809.899417,
20,
1,
5
],
[
1746701634.6736138,
20,
1,
5
],
[
1746701635.436875,
20,
1,
5
],
[
1746701637.5254223,
20,
2,
10
],
[
1746701656.802369,
20,
2,
10
],
[
1746703532.8063674,
20,
2,
10
],
[
1746703533.572167,
20,
2,
10
],
[
1746703535.4984934,
20,
3,
15
],
[
1746703559.355587,
20,
3,
15
],
[
1746705382.385002,
20,
3,
15
],
[
1746705383.382089,
20,
3,
15
],
[
1746705385.4197752,
20,
4,
20
],
[
1746705404.6368208,
20,
4,
20
],
[
1746705418.7846177,
20,
3,
15
],
[
1746705418.9575133,
20,
3,
15
],
[
1746707944.9487588,
20,
3,
15
],
[
1746707945.631157,
20,
3,
15
],
[
1746707947.5463178,
20,
4,
20
],
[
1746707963.4184394,
20,
4,
20
],
[
1746707996.8540983,
20,
3,
15
],
[
1746707997.0188727,
20,
3,
15
],
[
1746709858.4860146,
20,
3,
15
],
[
1746709859.4794755,
20,
3,
15
],
[
1746709861.4789836,
20,
4,
20
],
[
1746709877.3548331,
20,
4,
20
],
[
1746709912.603116,
20,
3,
15
],
[
1746709912.7729282,
20,
3,
15
],
[
1746712024.3449209,
20,
3,
15
],
[
1746712025.3917537,
20,
3,
15
],
[
1746712027.5012057,
20,
4,
20
],
[
1746712043.358452,
20,
4,
20
],
[
1746712078.0237434,
20,
3,
15
],
[
1746712078.7999156,
20,
3,
15
],
[
1746714736.7768626,
20,
3,
15
],
[
1746714737.5558128,
20,
3,
15
],
[
1746714739.5569756,
20,
4,
20
],
[
1746714769.9498506,
20,
4,
20
],
[
1746717335.4006846,
20,
4,
20
],
[
1746717336.4060416,
20,
4,
20
],
[
1746717340.5036266,
20,
5,
25
],
[
1746717356.4610975,
20,
5,
25
],
[
1746717382.1862748,
20,
4,
20
],
[
1746717415.8081877,
20,
3,
15
],
[
1746717415.994325,
20,
3,
15
],
[
1746719577.3479865,
20,
3,
15
],
[
1746719578.3686197,
20,
3,
15
],
[
1746719580.4530053,
20,
4,
20
],
[
1746719596.2614386,
20,
4,
20
],
[
1746719629.6594968,
20,
3,
15
],
[
1746719629.8315504,
20,
3,
15
],
[
1746721815.9150271,
20,
3,
15
],
[
1746721816.6284368,
20,
3,
15
],
[
1746721818.4821143,
20,
4,
20
],
[
1746721848.868723,
20,
4,
20
],
[
1746724100.4022415,
20,
4,
20
],
[
1746724101.3902185,
20,
4,
20
],
[
1746724103.475895,
20,
5,
25
],
[
1746724119.4480495,
20,
5,
25
],
[
1746724150.0314047,
20,
4,
20
],
[
1746724163.661146,
20,
3,
15
],
[
1746724163.8380427,
20,
3,
15
],
[
1746726251.4643595,
20,
3,
15
],
[
1746726252.0246994,
20,
3,
15
],
[
1746726253.7398758,
20,
4,
20
],
[
1746726273.427834,
20,
4,
20
],
[
1746726304.8495305,
20,
3,
15
],
[
1746726305.048706,
20,
3,
15
],
[
1746729013.1584487,
20,
3,
15
],
[
1746729013.929618,
20,
3,
15
],
[
1746729015.8269143,
20,
4,
20
],
[
1746729031.745394,
20,
4,
20
],
[
1746729050.3330767,
20,
3,
15
],
[
1746729060.1697211,
20,
2,
10
],
[
1746729074.6597474,
20,
1,
5
],
[
1746729075.0796695,
20,
0,
0
],
[
1746730937.7278848,
20,
0,
0
],
[
1746730938.181191,
20,
0,
0
],
[
1746730940.282176,
20,
1,
5
],
[
1746730952.3085222,
20,
1,
5
],
[
1746732220.9779077,
20,
1,
5
],
[
1746732221.6497037,
20,
1,
5
],
[
1746732223.359499,
20,
2,
10
],
[
1746732239.8561072,
20,
2,
10
],
[
1746733818.752126,
20,
2,
10
],
[
1746733819.3069701,
20,
2,
10
],
[
1746733821.2508807,
20,
3,
15
],
[
1746733841.1774287,
20,
3,
15
],
[
1746735245.9863636,
20,
3,
15
],
[
1746735246.5016634,
20,
3,
15
],
[
1746735248.2239125,
20,
4,
20
],
[
1746735274.7117662,
20,
4,
20
],
[
1746736570.3891587,
20,
4,
20
],
[
1746736571.015543,
20,
4,
20
],
[
1746736572.434889,
20,
5,
25
],
[
1746736603.2590714,
20,
5,
25
],
[
1746738372.2818174,
20,
5,
25
],
[
1746738372.9320147,
20,
5,
25
],
[
1746738374.663915,
20,
6,
30
],
[
1746738390.5670798,
20,
6,
30
],
[
1746738426.1792848,
20,
5,
25
],
[
1746738439.2033918,
20,
4,
20
],
[
1746738439.520285,
20,
4,
20
],
[
1746738471.7830625,
20,
4,
20
],
[
1746738508.4365523,
20,
4,
20
],
[
1746738543.0227754,
20,
4,
20
],
[
1746738579.6331325,
20,
4,
20
],
[
1746738613.317205,
20,
4,
20
],
[
1746738649.0177085,
20,
4,
20
],
[
1746738684.367259,
20,
4,
20
],
[
1746738721.321912,
20,
4,
20
],
[
1746738755.9279692,
20,
4,
20
],
[
1746738791.0323346,
20,
4,
20
],
[
1746738825.7061543,
20,
4,
20
],
[
1746738862.8081894,
20,
4,
20
],
[
1746738898.2733953,
20,
4,
20
],
[
1746738933.7878134,
20,
4,
20
],
[
1746738968.7951248,
20,
4,
20
],
[
1746739005.2825863,
20,
4,
20
],
[
1746739040.3520288,
20,
4,
20
],
[
1746739073.9017224,
20,
4,
20
],
[
1746739107.9131224,
20,
4,
20
],
[
1746739142.7526166,
20,
4,
20
],
[
1746739178.3573472,
20,
4,
20
],
[
1746739215.4492137,
20,
4,
20
],
[
1746739250.8351111,
20,
4,
20
],
[
1746739286.658857,
20,
4,
20
],
[
1746739321.5231872,
20,
4,
20
],
[
1746739357.2069955,
20,
4,
20
],
[
1746739392.7148478,
20,
4,
20
],
[
1746739428.0331492,
20,
4,
20
],
[
1746739463.566495,
20,
4,
20
],
[
1746739498.8837361,
20,
4,
20
],
[
1746739534.1616096,
20,
4,
20
],
[
1746739569.1374278,
20,
4,
20
],
[
1746739603.9971344,
20,
4,
20
],
[
1746739624.6383007,
20,
4,
20
],
[
1746739657.7429013,
20,
3,
15
],
[
1746739658.0347815,
20,
3,
15
],
[
1746739686.9036813,
20,
3,
15
],
[
1746739715.5176759,
20,
3,
15
],
[
1746739746.7608352,
20,
3,
15
],
[
1746739775.9281118,
20,
3,
15
],
[
1746739805.3032837,
20,
3,
15
],
[
1746739836.9364445,
20,
3,
15
],
[
1746739865.9649656,
20,
3,
15
],
[
1746739894.507393,
20,
3,
15
],
[
1746739925.150258,
20,
3,
15
],
[
1746739953.6499455,
20,
3,
15
],
[
1746739984.2469954,
20,
3,
15
],
[
1746740013.5892112,
20,
3,
15
],
[
1746740044.7681572,
20,
3,
15
],
[
1746740073.7158384,
20,
3,
15
],
[
1746740104.6563263,
20,
3,
15
],
[
1746740134.0109682,
20,
3,
15
],
[
1746740163.3638992,
20,
3,
15
],
[
1746740192.521778,
20,
3,
15
],
[
1746740222.570924,
20,
3,
15
],
[
1746740252.1015933,
20,
3,
15
],
[
1746740280.5526464,
20,
3,
15
],
[
1746740310.2738662,
20,
3,
15
],
[
1746740339.162308,
20,
3,
15
],
[
1746740366.5072875,
20,
3,
15
],
[
1746740394.031441,
20,
3,
15
],
[
1746740424.6535156,
20,
3,
15
],
[
1746740453.5367415,
20,
3,
15
],
[
1746740482.873342,
20,
3,
15
],
[
1746740511.4693122,
20,
3,
15
],
[
1746740540.793875,
20,
3,
15
],
[
1746740568.3776278,
20,
3,
15
],
[
1746740598.438099,
20,
3,
15
],
[
1746740627.4151833,
20,
3,
15
],
[
1746740657.9783094,
20,
3,
15
],
[
1746740686.7125933,
20,
3,
15
],
[
1746740717.182604,
20,
3,
15
],
[
1746740743.813262,
20,
3,
15
],
[
1746740772.5705726,
20,
3,
15
],
[
1746740802.8312678,
20,
3,
15
],
[
1746740832.4375124,
20,
3,
15
],
[
1746740861.743519,
20,
3,
15
],
[
1746740891.4822354,
20,
3,
15
],
[
1746740920.9823742,
20,
3,
15
],
[
1746740947.8128192,
20,
3,
15
],
[
1746740974.1638436,
20,
3,
15
],
[
1746741001.2771897,
20,
3,
15
],
[
1746741029.2132275,
20,
3,
15
],
[
1746741058.515048,
20,
3,
15
],
[
1746741087.1957107,
20,
3,
15
],
[
1746741115.5463562,
20,
3,
15
],
[
1746741144.0154722,
20,
3,
15
],
[
1746741173.4250283,
20,
3,
15
],
[
1746741202.0654037,
20,
3,
15
],
[
1746741229.9642513,
20,
3,
15
],
[
1746741259.2924833,
20,
3,
15
],
[
1746741289.5144293,
20,
3,
15
],
[
1746741318.5217555,
20,
3,
15
],
[
1746741348.5220118,
20,
3,
15
],
[
1746741379.1247327,
20,
3,
15
],
[
1746741408.8804047,
20,
3,
15
],
[
1746741429.6491356,
20,
3,
15
],
[
1746741457.804916,
20,
2,
10
],
[
1746741458.1193516,
20,
2,
10
],
[
1746741481.0033453,
20,
2,
10
],
[
1746741505.4603624,
20,
2,
10
],
[
1746741529.7261968,
20,
2,
10
],
[
1746741552.532107,
20,
2,
10
],
[
1746741577.400418,
20,
2,
10
],
[
1746741600.3975844,
20,
2,
10
],
[
1746741624.4061334,
20,
2,
10
],
[
1746741646.966496,
20,
2,
10
],
[
1746741670.8773944,
20,
2,
10
],
[
1746741693.5957043,
20,
2,
10
],
[
1746741718.4303608,
20,
2,
10
],
[
1746741741.5128548,
20,
2,
10
],
[
1746741764.906016,
20,
2,
10
],
[
1746741789.2870593,
20,
2,
10
],
[
1746741812.3194242,
20,
2,
10
],
[
1746741836.9372537,
20,
2,
10
],
[
1746741860.0148332,
20,
2,
10
],
[
1746741883.4607544,
20,
2,
10
],
[
1746741908.1511972,
20,
2,
10
],
[
1746741931.0185015,
20,
2,
10
],
[
1746741953.986402,
20,
2,
10
],
[
1746741978.599335,
20,
2,
10
],
[
1746742001.7245066,
20,
2,
10
],
[
1746742025.2050893,
20,
2,
10
],
[
1746742050.297306,
20,
2,
10
],
[
1746742073.1310287,
20,
2,
10
],
[
1746742095.8721962,
20,
2,
10
],
[
1746742118.6786122,
20,
2,
10
],
[
1746742141.3682733,
20,
2,
10
],
[
1746742166.1496148,
20,
2,
10
],
[
1746742189.972462,
20,
2,
10
],
[
1746742213.466401,
20,
2,
10
],
[
1746742236.892386,
20,
2,
10
],
[
1746742260.2859995,
20,
2,
10
],
[
1746742283.8402462,
20,
2,
10
],
[
1746742309.2160795,
20,
2,
10
],
[
1746742332.1912773,
20,
2,
10
],
[
1746742355.0399356,
20,
2,
10
],
[
1746742377.9467313,
20,
2,
10
],
[
1746742401.8240483,
20,
2,
10
],
[
1746742425.5171556,
20,
2,
10
],
[
1746742448.988832,
20,
2,
10
],
[
1746742472.8303397,
20,
2,
10
],
[
1746742496.499452,
20,
2,
10
],
[
1746742520.097301,
20,
2,
10
],
[
1746742543.4643075,
20,
2,
10
],
[
1746742566.9104638,
20,
2,
10
],
[
1746742591.1579816,
20,
2,
10
],
[
1746742615.4266138,
20,
2,
10
],
[
1746742639.9849424,
20,
1,
5
],
[
1746742659.1227934,
20,
1,
5
],
[
1746742676.3730521,
20,
1,
5
],
[
1746742693.7778156,
20,
1,
5
],
[
1746742710.7828562,
20,
1,
5
],
[
1746742729.7755227,
20,
1,
5
],
[
1746742746.9059577,
20,
1,
5
],
[
1746742763.9235504,
20,
1,
5
],
[
1746742783.2453587,
20,
1,
5
],
[
1746742800.2815883,
20,
1,
5
],
[
1746742817.4027255,
20,
1,
5
],
[
1746742836.6089718,
20,
1,
5
],
[
1746742853.7470622,
20,
1,
5
],
[
1746742871.0778089,
20,
1,
5
],
[
1746742888.4178424,
20,
1,
5
],
[
1746742907.3106167,
20,
1,
5
],
[
1746742924.3872588,
20,
1,
5
],
[
1746742941.5382729,
20,
1,
5
],
[
1746742958.551379,
20,
1,
5
],
[
1746742977.512157,
20,
1,
5
],
[
1746742993.9418569,
20,
1,
5
],
[
1746743009.9970462,
20,
1,
5
],
[
1746743026.1406162,
20,
1,
5
],
[
1746743044.9029405,
20,
1,
5
],
[
1746743062.3766315,
20,
1,
5
],
[
1746743079.8280745,
20,
1,
5
],
[
1746743097.0348005,
20,
1,
5
],
[
1746743114.4216158,
20,
1,
5
],
[
1746743130.1704702,
20,
1,
5
],
[
1746743147.3655112,
20,
1,
5
],
[
1746743164.3022327,
20,
1,
5
],
[
1746743183.219584,
20,
1,
5
],
[
1746743200.0900726,
20,
1,
5
],
[
1746743217.1589618,
20,
1,
5
],
[
1746743235.08635,
20,
1,
5
],
[
1746743252.3900237,
20,
1,
5
],
[
1746743272.1122172,
20,
1,
5
],
[
1746743289.2637832,
20,
1,
5
],
[
1746743306.5137494,
20,
1,
5
],
[
1746743323.6638923,
20,
1,
5
],
[
1746743340.9658084,
20,
1,
5
],
[
1746743358.264783,
20,
1,
5
],
[
1746743377.5757945,
20,
1,
5
],
[
1746743394.6763084,
20,
1,
5
],
[
1746743411.7490304,
20,
1,
5
],
[
1746743429.0617855,
20,
1,
5
],
[
1746743446.4311533,
20,
1,
5
],
[
1746743466.0572672,
20,
1,
5
],
[
1746743483.3027546,
20,
1,
5
],
[
1746743500.7821326,
20,
1,
5
],
[
1746743518.188612,
20,
1,
5
],
[
1746743536.1871529,
20,
1,
5
],
[
1746743553.2045522,
20,
1,
5
],
[
1746743572.6467252,
20,
1,
5
],
[
1746743589.6495757,
20,
1,
5
],
[
1746743606.657924,
20,
1,
5
],
[
1746743622.75156,
20,
1,
5
],
[
1746743639.4904778,
20,
1,
5
],
[
1746743656.2107012,
20,
1,
5
],
[
1746743672.8780758,
20,
1,
5
],
[
1746743691.6244133,
20,
1,
5
],
[
1746743707.957484,
20,
1,
5
],
[
1746743724.7248888,
20,
1,
5
],
[
1746743741.7239532,
20,
1,
5
],
[
1746743758.718713,
20,
1,
5
],
[
1746743775.7154124,
20,
1,
5
],
[
1746743792.549899,
20,
1,
5
],
[
1746743811.5140352,
20,
1,
5
],
[
1746743828.0684268,
20,
1,
5
],
[
1746743864.8814723,
20,
0,
0
],
[
1746745547.7523723,
20,
0,
0
],
[
1746745548.4245598,
20,
0,
0
],
[
1746745551.3702362,
20,
1,
5
],
[
1746745564.2032263,
20,
1,
5
],
[
1746747010.632679,
20,
1,
5
],
[
1746747011.4010959,
20,
1,
5
],
[
1746747013.4653478,
20,
2,
10
],
[
1746747015.203958,
20,
2,
10
],
[
1746747035.7428262,
20,
1,
5
],
[
1746747035.8500397,
20,
1,
5
],
[
1746748820.6444008,
20,
1,
5
],
[
1746748821.511879,
20,
1,
5
],
[
1746748823.546308,
20,
2,
10
],
[
1746748843.410848,
20,
2,
10
],
[
1746750599.9413717,
20,
2,
10
],
[
1746750600.686553,
20,
2,
10
],
[
1746750602.6255698,
20,
3,
15
],
[
1746750611.6156707,
20,
3,
15
],
[
1746750632.9554653,
20,
2,
10
],
[
1746750633.1057823,
20,
2,
10
],
[
1746752764.0539992,
20,
2,
10
],
[
1746752764.7957673,
20,
2,
10
],
[
1746752766.647455,
20,
3,
15
],
[
1746752794.0109653,
20,
3,
15
],
[
1746754915.1253502,
20,
3,
15
],
[
1746754915.8308232,
20,
3,
15
],
[
1746754917.7635145,
20,
4,
20
],
[
1746754933.8805463,
20,
4,
20
],
[
1746754951.2348776,
20,
3,
15
],
[
1746754972.289191,
20,
2,
10
],
[
1746754972.4481945,
20,
2,
10
],
[
1746757270.605763,
20,
2,
10
],
[
1746757271.4240506,
20,
2,
10
],
[
1746757273.4277904,
20,
3,
15
],
[
1746757296.9400682,
20,
3,
15
],
[
1746759405.2969015,
20,
3,
15
],
[
1746759406.0739849,
20,
3,
15
],
[
1746759407.9548216,
20,
4,
20
],
[
1746759423.8766792,
20,
4,
20
],
[
1746759460.2278392,
20,
3,
15
],
[
1746759460.3971372,
20,
3,
15
],
[
1746761734.9859612,
20,
3,
15
],
[
1746761735.6992183,
20,
3,
15
],
[
1746761737.548438,
20,
4,
20
],
[
1746761768.9863672,
20,
4,
20
],
[
1746763931.5620182,
20,
4,
20
],
[
1746763932.3243544,
20,
4,
20
],
[
1746763934.493775,
20,
5,
25
],
[
1746763950.4188673,
20,
5,
25
],
[
1746763983.0576928,
20,
4,
20
],
[
1746763998.1950724,
20,
3,
15
],
[
1746763998.3754814,
20,
3,
15
],
[
1746766319.8489094,
20,
3,
15
],
[
1746766320.61354,
20,
3,
15
],
[
1746766322.885698,
20,
4,
20
],
[
1746766338.6775174,
20,
4,
20
],
[
1746766362.6081302,
20,
3,
15
],
[
1746766377.4866202,
20,
2,
10
],
[
1746766377.6573558,
20,
2,
10
],
[
1746768784.5013623,
20,
2,
10
],
[
1746768785.4035134,
20,
2,
10
],
[
1746768787.509252,
20,
3,
15
],
[
1746768803.38689,
20,
3,
15
],
[
1746768831.7092395,
20,
2,
10
],
[
1746768831.9696639,
20,
2,
10
],
[
1746771041.7425792,
20,
2,
10
],
[
1746771042.4642375,
20,
2,
10
],
[
1746771044.5588539,
20,
3,
15
],
[
1746771060.470492,
20,
3,
15
],
[
1746771088.6755126,
20,
2,
10
],
[
1746771088.9062724,
20,
2,
10
],
[
1746772960.692657,
20,
2,
10
],
[
1746772961.4431665,
20,
2,
10
],
[
1746772963.490434,
20,
3,
15
],
[
1746772987.9251907,
20,
3,
15
],
[
1746775225.8072412,
20,
3,
15
],
[
1746775226.555242,
20,
3,
15
],
[
1746775228.4721205,
20,
4,
20
],
[
1746775242.4365087,
20,
4,
20
],
[
1746775263.3931663,
20,
3,
15
],
[
1746775263.5755005,
20,
3,
15
],
[
1746777556.3649075,
20,
3,
15
],
[
1746777557.3825836,
20,
3,
15
],
[
1746777559.5853763,
20,
4,
20
],
[
1746777575.499369,
20,
4,
20
],
[
1746777592.9419346,
20,
3,
15
],
[
1746777614.1108563,
20,
2,
10
],
[
1746777614.2716043,
20,
2,
10
],
[
1746780448.5792348,
20,
2,
10
],
[
1746780449.3863451,
20,
2,
10
],
[
1746780451.6182647,
20,
3,
15
],
[
1746780467.5320091,
20,
3,
15
],
[
1746780497.0520627,
20,
2,
10
],
[
1746780497.3009598,
20,
2,
10
],
[
1746782637.0301301,
20,
2,
10
],
[
1746782637.7476935,
20,
2,
10
],
[
1746782639.7377799,
20,
3,
15
],
[
1746782647.6356957,
20,
3,
15
],
[
1746782668.540162,
20,
2,
10
],
[
1746782668.7315066,
20,
2,
10
],
[
1746785074.672508,
20,
2,
10
],
[
1746785075.392928,
20,
2,
10
],
[
1746785077.4933538,
20,
3,
15
],
[
1746785093.36501,
20,
3,
15
],
[
1746785122.5851111,
20,
2,
10
],
[
1746785122.7531755,
20,
2,
10
],
[
1746787407.8291013,
20,
2,
10
],
[
1746787408.5448778,
20,
2,
10
],
[
1746787410.5042245,
20,
3,
15
],
[
1746787436.5270007,
20,
3,
15
]
];
var tab_main_worker_cpu_ram_csv_json = [
[
1746192497,
654.125,
38.9
],
[
1746192497,
654.12890625,
39.7
],
[
1746192497,
654.1875,
39.3
],
[
1746192497,
654.1875,
35.2
],
[
1746192497,
654.1875,
46.5
],
[
1746192497,
654.1875,
43.9
],
[
1746192497,
654.1875,
47.5
],
[
1746210956,
817.23046875,
38.2
],
[
1746210956,
817.23046875,
26.7
],
[
1746210956,
817.23046875,
26
],
[
1746210956,
817.23046875,
28.3
],
[
1746236633,
881.44140625,
17.3
],
[
1746236633,
881.44140625,
15.1
],
[
1746236633,
881.44140625,
14.7
],
[
1746236633,
881.44140625,
13.6
],
[
1746260460,
875.34375,
15.6
],
[
1746260460,
875.34375,
15
],
[
1746260460,
875.34375,
14.7
],
[
1746260460,
875.34375,
14
],
[
1746288989,
888.5078125,
16
],
[
1746288989,
888.5078125,
16.9
],
[
1746288990,
888.5078125,
16.7
],
[
1746288990,
888.5078125,
15.5
],
[
1746313649,
882.484375,
15.4
],
[
1746313649,
882.484375,
15
],
[
1746313649,
882.484375,
14.6
],
[
1746313649,
882.484375,
17.5
],
[
1746341421,
935.37109375,
15.7
],
[
1746341421,
935.37109375,
16.2
],
[
1746341421,
935.37109375,
15.9
],
[
1746341421,
935.37109375,
18.5
],
[
1746370045,
908.6015625,
17.9
],
[
1746370045,
908.6015625,
20.1
],
[
1746370045,
908.6015625,
20.1
],
[
1746370045,
908.6015625,
23.4
],
[
1746405253,
914.015625,
18.7
],
[
1746405253,
914.015625,
16.1
],
[
1746405253,
914.015625,
16.2
],
[
1746405253,
914.015625,
18.5
],
[
1746436836,
973.23828125,
16
],
[
1746436836,
973.23828125,
14.1
],
[
1746436836,
973.23828125,
13.9
],
[
1746436836,
973.23828125,
14
],
[
1746471371,
984.77734375,
15.8
],
[
1746471371,
984.77734375,
16.3
],
[
1746471371,
984.77734375,
16
],
[
1746471371,
984.77734375,
15.6
],
[
1746498226,
921.17578125,
15.9
],
[
1746498226,
921.17578125,
14.8
],
[
1746498226,
921.17578125,
14.8
],
[
1746498226,
921.17578125,
13.3
],
[
1746530452,
939.421875,
16.2
],
[
1746530452,
939.421875,
14.9
],
[
1746530452,
939.421875,
14.9
],
[
1746530452,
939.421875,
15.8
],
[
1746563592,
982.87109375,
15.6
],
[
1746563592,
982.87109375,
16.7
],
[
1746563592,
982.87109375,
16.3
],
[
1746563592,
982.87109375,
16.4
],
[
1746602656,
939.2734375,
15.9
],
[
1746602656,
939.2734375,
14.7
],
[
1746602656,
939.2734375,
14.4
],
[
1746602656,
939.2734375,
15.7
],
[
1746650198,
957.6953125,
20.7
],
[
1746650198,
957.6953125,
22.2
],
[
1746650198,
957.6953125,
20.9
],
[
1746650198,
957.6953125,
17.9
],
[
1746691919,
979.31640625,
21.7
],
[
1746691919,
979.31640625,
21
],
[
1746691920,
979.31640625,
20.7
],
[
1746691920,
979.31640625,
18.5
],
[
1746738471,
954.8203125,
18.7
],
[
1746738471,
954.8203125,
17.3
],
[
1746738471,
954.8203125,
16.6
],
[
1746738471,
954.8203125,
16.5
],
[
1746787462,
957.8125,
17.9
],
[
1746787462,
957.8125,
16.6
],
[
1746787463,
957.8125,
18.1
],
[
1746787463,
957.8125,
18.8
]
];
var tab_main_worker_cpu_ram_headers_json = [
"timestamp",
"ram_usage_mb",
"cpu_usage_percent"
];
"use strict";
function add_default_layout_data (layout, no_height = 0) {
layout["width"] = get_graph_width();
if (!no_height) {
layout["height"] = get_graph_height();
}
layout["paper_bgcolor"] = 'rgba(0,0,0,0)';
layout["plot_bgcolor"] = 'rgba(0,0,0,0)';
return layout;
}
function get_marker_size() {
return 12;
}
function get_text_color() {
return theme == "dark" ? "white" : "black";
}
function get_font_size() {
return 14;
}
function get_graph_height() {
return 800;
}
function get_font_data() {
return {
size: get_font_size(),
color: get_text_color()
}
}
function get_axis_title_data(name, axis_type = "") {
if(axis_type) {
return {
text: name,
type: axis_type,
font: get_font_data()
};
}
return {
text: name,
font: get_font_data()
};
}
function get_graph_width() {
var width = document.body.clientWidth || window.innerWidth || document.documentElement.clientWidth;
return Math.max(800, Math.floor(width * 0.9));
}
function createTable(data, headers, table_name) {
if (!$("#" + table_name).length) {
console.error("#" + table_name + " not found");
return;
}
new gridjs.Grid({
columns: headers,
data: data,
search: true,
sort: true,
ellipsis: false
}).render(document.getElementById(table_name));
if (typeof apply_theme_based_on_system_preferences === 'function') {
apply_theme_based_on_system_preferences();
}
colorize_table_entries();
add_colorize_to_gridjs_table();
}
function download_as_file(id, filename) {
var text = $("#" + id).text();
var blob = new Blob([text], {
type: "text/plain"
});
var link = document.createElement("a");
link.href = URL.createObjectURL(blob);
link.download = filename;
document.body.appendChild(link);
link.click();
document.body.removeChild(link);
}
function copy_to_clipboard_from_id (id) {
var text = $("#" + id).text();
copy_to_clipboard(text);
}
function copy_to_clipboard(text) {
if (!navigator.clipboard) {
let textarea = document.createElement("textarea");
textarea.value = text;
document.body.appendChild(textarea);
textarea.select();
try {
document.execCommand("copy");
} catch (err) {
console.error("Copy failed:", err);
}
document.body.removeChild(textarea);
return;
}
navigator.clipboard.writeText(text).then(() => {
console.log("Text copied to clipboard");
}).catch(err => {
console.error("Failed to copy text:", err);
});
}
function filterNonEmptyRows(data) {
var new_data = [];
for (var row_idx = 0; row_idx < data.length; row_idx++) {
var line = data[row_idx];
var line_has_empty_data = false;
for (var col_idx = 0; col_idx < line.length; col_idx++) {
var col_header_name = tab_results_headers_json[col_idx];
var single_data_point = line[col_idx];
if(single_data_point === "" && !special_col_names.includes(col_header_name)) {
line_has_empty_data = true;
continue;
}
}
if(!line_has_empty_data) {
new_data.push(line);
}
}
return new_data;
}
function make_text_in_parallel_plot_nicer() {
$(".parcoords g > g > text").each(function() {
if (theme == "dark") {
$(this)
.css("text-shadow", "unset")
.css("font-size", "0.9em")
.css("fill", "white")
.css("stroke", "black")
.css("stroke-width", "2px")
.css("paint-order", "stroke fill");
} else {
$(this)
.css("text-shadow", "unset")
.css("font-size", "0.9em")
.css("fill", "black")
.css("stroke", "unset")
.css("stroke-width", "unset")
.css("paint-order", "stroke fill");
}
});
}
function createParallelPlot(dataArray, headers, resultNames, ignoreColumns = []) {
if ($("#parallel-plot").data("loaded") == "true") {
return;
}
dataArray = filterNonEmptyRows(dataArray);
const ignoreSet = new Set(ignoreColumns);
const numericalCols = [];
const categoricalCols = [];
const categoryMappings = {};
headers.forEach((header, colIndex) => {
if (ignoreSet.has(header)) return;
const values = dataArray.map(row => row[colIndex]);
if (values.every(val => !isNaN(parseFloat(val)))) {
numericalCols.push({ name: header, index: colIndex });
} else {
categoricalCols.push({ name: header, index: colIndex });
const uniqueValues = [...new Set(values)];
categoryMappings[header] = Object.fromEntries(uniqueValues.map((val, i) => [val, i]));
}
});
const dimensions = [];
numericalCols.forEach(col => {
dimensions.push({
label: col.name,
values: dataArray.map(row => parseFloat(row[col.index])),
range: [
Math.min(...dataArray.map(row => parseFloat(row[col.index]))),
Math.max(...dataArray.map(row => parseFloat(row[col.index])))
]
});
});
categoricalCols.forEach(col => {
dimensions.push({
label: col.name,
values: dataArray.map(row => categoryMappings[col.name][row[col.index]]),
tickvals: Object.values(categoryMappings[col.name]),
ticktext: Object.keys(categoryMappings[col.name])
});
});
let colorScale = null;
let colorValues = null;
if (resultNames.length > 1) {
let selectBox = '<select id="result-select" style="margin-bottom: 10px;">';
selectBox += '<option value="none">No color</option>';
var k = 0;
resultNames.forEach(resultName => {
var minMax = result_min_max[k];
if(minMax === undefined) {
minMax = "min [automatically chosen]"
}
selectBox += `<option value="${resultName}">${resultName} (${minMax})</option>`;
k = k + 1;
});
selectBox += '</select>';
$("#parallel-plot").before(selectBox);
$("#result-select").change(function() {
const selectedResult = $(this).val();
if (selectedResult === "none") {
colorValues = null;
colorScale = null;
} else {
const resultCol = numericalCols.find(col => col.name.toLowerCase() === selectedResult.toLowerCase());
colorValues = dataArray.map(row => parseFloat(row[resultCol.index]));
let minResult = Math.min(...colorValues);
let maxResult = Math.max(...colorValues);
var _result_min_max_idx = result_names.indexOf(selectedResult);
let invertColor = false;
if (result_min_max.length > _result_min_max_idx) {
invertColor = result_min_max[_result_min_max_idx] === "max";
}
colorScale = invertColor
? [[0, 'red'], [1, 'green']]
: [[0, 'green'], [1, 'red']];
}
updatePlot();
});
} else {
let invertColor = false;
if (Object.keys(result_min_max).length == 1) {
invertColor = result_min_max[0] === "max";
}
colorScale = invertColor
? [[0, 'red'], [1, 'green']]
: [[0, 'green'], [1, 'red']];
const resultCol = numericalCols.find(col => col.name.toLowerCase() === resultNames[0].toLowerCase());
colorValues = dataArray.map(row => parseFloat(row[resultCol.index]));
}
function updatePlot() {
const trace = {
type: 'parcoords',
dimensions: dimensions,
line: colorValues ? { color: colorValues, colorscale: colorScale } : {},
unselected: {
line: {
color: get_text_color(),
opacity: 0
}
},
};
dimensions.forEach(dim => {
if (!dim.line) {
dim.line = {};
}
if (!dim.line.color) {
dim.line.color = 'rgba(169,169,169, 0.01)';
}
});
Plotly.newPlot('parallel-plot', [trace], add_default_layout_data({}));
make_text_in_parallel_plot_nicer();
}
updatePlot();
$("#parallel-plot").data("loaded", "true");
make_text_in_parallel_plot_nicer();
}
function plotWorkerUsage() {
if($("#workerUsagePlot").data("loaded") == "true") {
return;
}
var data = tab_worker_usage_csv_json;
if (!Array.isArray(data) || data.length === 0) {
console.error("Invalid or empty data provided.");
return;
}
let timestamps = [];
let desiredWorkers = [];
let realWorkers = [];
for (let i = 0; i < data.length; i++) {
let entry = data[i];
if (!Array.isArray(entry) || entry.length < 3) {
console.warn("Skipping invalid entry:", entry);
continue;
}
let unixTime = parseFloat(entry[0]);
let desired = parseInt(entry[1], 10);
let real = parseInt(entry[2], 10);
if (isNaN(unixTime) || isNaN(desired) || isNaN(real)) {
console.warn("Skipping invalid numerical values:", entry);
continue;
}
timestamps.push(new Date(unixTime * 1000).toISOString());
desiredWorkers.push(desired);
realWorkers.push(real);
}
let trace1 = {
x: timestamps,
y: desiredWorkers,
mode: 'lines+markers',
name: 'Desired Workers',
line: {
color: 'blue'
}
};
let trace2 = {
x: timestamps,
y: realWorkers,
mode: 'lines+markers',
name: 'Real Workers',
line: {
color: 'red'
}
};
let layout = {
title: "Worker Usage Over Time",
xaxis: {
title: get_axis_title_data("Time", "date")
},
yaxis: {
title: get_axis_title_data("Number of Workers")
},
legend: {
x: 0,
y: 1
}
};
Plotly.newPlot('workerUsagePlot', [trace1, trace2], add_default_layout_data(layout));
$("#workerUsagePlot").data("loaded", "true");
}
function plotCPUAndRAMUsage() {
if($("#mainWorkerCPURAM").data("loaded") == "true") {
return;
}
var timestamps = tab_main_worker_cpu_ram_csv_json.map(row => new Date(row[0] * 1000));
var ramUsage = tab_main_worker_cpu_ram_csv_json.map(row => row[1]);
var cpuUsage = tab_main_worker_cpu_ram_csv_json.map(row => row[2]);
var trace1 = {
x: timestamps,
y: cpuUsage,
mode: 'lines+markers',
marker: {
size: get_marker_size(),
},
name: 'CPU Usage (%)',
type: 'scatter',
yaxis: 'y1'
};
var trace2 = {
x: timestamps,
y: ramUsage,
mode: 'lines+markers',
marker: {
size: get_marker_size(),
},
name: 'RAM Usage (MB)',
type: 'scatter',
yaxis: 'y2'
};
var layout = {
title: 'CPU and RAM Usage Over Time',
xaxis: {
title: get_axis_title_data("Timestamp", "date"),
tickmode: 'array',
tickvals: timestamps.filter((_, index) => index % Math.max(Math.floor(timestamps.length / 10), 1) === 0),
ticktext: timestamps.filter((_, index) => index % Math.max(Math.floor(timestamps.length / 10), 1) === 0).map(t => t.toLocaleString()),
tickangle: -45
},
yaxis: {
title: get_axis_title_data("CPU Usage (%)"),
rangemode: 'tozero'
},
yaxis2: {
title: get_axis_title_data("RAM Usage (MB)"),
overlaying: 'y',
side: 'right',
rangemode: 'tozero'
},
legend: {
x: 0.1,
y: 0.9
}
};
var data = [trace1, trace2];
Plotly.newPlot('mainWorkerCPURAM', data, add_default_layout_data(layout));
$("#mainWorkerCPURAM").data("loaded", "true");
}
function plotScatter2d() {
if ($("#plotScatter2d").data("loaded") == "true") {
return;
}
var plotDiv = document.getElementById("plotScatter2d");
var minInput = document.getElementById("minValue");
var maxInput = document.getElementById("maxValue");
if (!minInput || !maxInput) {
minInput = document.createElement("input");
minInput.id = "minValue";
minInput.type = "number";
minInput.placeholder = "Min Value";
minInput.step = "any";
maxInput = document.createElement("input");
maxInput.id = "maxValue";
maxInput.type = "number";
maxInput.placeholder = "Max Value";
maxInput.step = "any";
var inputContainer = document.createElement("div");
inputContainer.style.marginBottom = "10px";
inputContainer.appendChild(minInput);
inputContainer.appendChild(maxInput);
plotDiv.appendChild(inputContainer);
}
var resultSelect = document.getElementById("resultSelect");
if (result_names.length > 1 && !resultSelect) {
resultSelect = document.createElement("select");
resultSelect.id = "resultSelect";
resultSelect.style.marginBottom = "10px";
var sortedResults = [...result_names].sort();
sortedResults.forEach(result => {
var option = document.createElement("option");
option.value = result;
option.textContent = result;
resultSelect.appendChild(option);
});
var selectContainer = document.createElement("div");
selectContainer.style.marginBottom = "10px";
selectContainer.appendChild(resultSelect);
plotDiv.appendChild(selectContainer);
}
minInput.addEventListener("input", updatePlots);
maxInput.addEventListener("input", updatePlots);
if (resultSelect) {
resultSelect.addEventListener("change", updatePlots);
}
updatePlots();
async function updatePlots() {
var minValue = parseFloat(minInput.value);
var maxValue = parseFloat(maxInput.value);
if (isNaN(minValue)) minValue = -Infinity;
if (isNaN(maxValue)) maxValue = Infinity;
while (plotDiv.children.length > 2) {
plotDiv.removeChild(plotDiv.lastChild);
}
var selectedResult = resultSelect ? resultSelect.value : result_names[0];
var resultIndex = tab_results_headers_json.findIndex(header =>
header.toLowerCase() === selectedResult.toLowerCase()
);
var resultValues = tab_results_csv_json.map(row => row[resultIndex]);
var minResult = Math.min(...resultValues.filter(value => value !== null && value !== ""));
var maxResult = Math.max(...resultValues.filter(value => value !== null && value !== ""));
if (minValue !== -Infinity) minResult = Math.max(minResult, minValue);
if (maxValue !== Infinity) maxResult = Math.min(maxResult, maxValue);
var invertColor = result_min_max[result_names.indexOf(selectedResult)] === "max";
var numericColumns = tab_results_headers_json.filter(col =>
!special_col_names.includes(col) && !result_names.includes(col) &&
tab_results_csv_json.every(row => !isNaN(parseFloat(row[tab_results_headers_json.indexOf(col)])))
);
if (numericColumns.length < 2) {
console.error("Not enough columns for Scatter-Plots");
return;
}
for (let i = 0; i < numericColumns.length; i++) {
for (let j = i + 1; j < numericColumns.length; j++) {
let xCol = numericColumns[i];
let yCol = numericColumns[j];
let xIndex = tab_results_headers_json.indexOf(xCol);
let yIndex = tab_results_headers_json.indexOf(yCol);
let data = tab_results_csv_json.map(row => ({
x: parseFloat(row[xIndex]),
y: parseFloat(row[yIndex]),
result: row[resultIndex] !== "" ? parseFloat(row[resultIndex]) : null
}));
data = data.filter(d => d.result >= minResult && d.result <= maxResult);
let layoutTitle = `${xCol} (x) vs ${yCol} (y), result: ${selectedResult}`;
let layout = {
title: layoutTitle,
xaxis: {
title: get_axis_title_data(xCol)
},
yaxis: {
title: get_axis_title_data(yCol)
},
showlegend: false
};
let subDiv = document.createElement("div");
let spinnerContainer = document.createElement("div");
spinnerContainer.style.display = "flex";
spinnerContainer.style.alignItems = "center";
spinnerContainer.style.justifyContent = "center";
spinnerContainer.style.width = layout.width + "px";
spinnerContainer.style.height = layout.height + "px";
spinnerContainer.style.position = "relative";
let spinner = document.createElement("div");
spinner.className = "spinner";
spinner.style.width = "40px";
spinner.style.height = "40px";
let loadingText = document.createElement("span");
loadingText.innerText = `Loading ${layoutTitle}`;
loadingText.style.marginLeft = "10px";
spinnerContainer.appendChild(spinner);
spinnerContainer.appendChild(loadingText);
plotDiv.appendChild(spinnerContainer);
await new Promise(resolve => setTimeout(resolve, 50));
let colors = data.map(d => {
if (d.result === null) {
return 'rgb(0, 0, 0)';
} else {
let norm = (d.result - minResult) / (maxResult - minResult);
if (invertColor) {
norm = 1 - norm;
}
return `rgb(${Math.round(255 * norm)}, ${Math.round(255 * (1 - norm))}, 0)`;
}
});
let trace = {
x: data.map(d => d.x),
y: data.map(d => d.y),
mode: 'markers',
marker: {
size: get_marker_size(),
color: data.map(d => d.result !== null ? d.result : null),
colorscale: invertColor ? [
[0, 'red'],
[1, 'green']
] : [
[0, 'green'],
[1, 'red']
],
colorbar: {
title: 'Result',
tickvals: [minResult, maxResult],
ticktext: [`${minResult}`, `${maxResult}`]
},
symbol: data.map(d => d.result === null ? 'x' : 'circle'),
},
text: data.map(d => d.result !== null ? `Result: ${d.result}` : 'No result'),
type: 'scatter',
showlegend: false
};
try {
plotDiv.replaceChild(subDiv, spinnerContainer);
} catch (err) {
//
}
Plotly.newPlot(subDiv, [trace], add_default_layout_data(layout));
}
}
}
$("#plotScatter2d").data("loaded", "true");
}
function plotScatter3d() {
if ($("#plotScatter3d").data("loaded") == "true") {
return;
}
var plotDiv = document.getElementById("plotScatter3d");
if (!plotDiv) {
console.error("Div element with id 'plotScatter3d' not found");
return;
}
plotDiv.innerHTML = "";
var minInput3d = document.getElementById("minValue3d");
var maxInput3d = document.getElementById("maxValue3d");
if (!minInput3d || !maxInput3d) {
minInput3d = document.createElement("input");
minInput3d.id = "minValue3d";
minInput3d.type = "number";
minInput3d.placeholder = "Min Value";
minInput3d.step = "any";
maxInput3d = document.createElement("input");
maxInput3d.id = "maxValue3d";
maxInput3d.type = "number";
maxInput3d.placeholder = "Max Value";
maxInput3d.step = "any";
var inputContainer3d = document.createElement("div");
inputContainer3d.style.marginBottom = "10px";
inputContainer3d.appendChild(minInput3d);
inputContainer3d.appendChild(maxInput3d);
plotDiv.appendChild(inputContainer3d);
}
var select3d = document.getElementById("select3dScatter");
if (result_names.length > 1 && !select3d) {
if (!select3d) {
select3d = document.createElement("select");
select3d.id = "select3dScatter";
select3d.style.marginBottom = "10px";
select3d.innerHTML = result_names.map(name => `<option value="${name}">${name}</option>`).join("");
select3d.addEventListener("change", updatePlots3d);
plotDiv.appendChild(select3d);
}
}
minInput3d.addEventListener("input", updatePlots3d);
maxInput3d.addEventListener("input", updatePlots3d);
updatePlots3d();
async function updatePlots3d() {
var selectedResult = select3d ? select3d.value : result_names[0];
var minValue3d = parseFloat(minInput3d.value);
var maxValue3d = parseFloat(maxInput3d.value);
if (isNaN(minValue3d)) minValue3d = -Infinity;
if (isNaN(maxValue3d)) maxValue3d = Infinity;
while (plotDiv.children.length > 2) {
plotDiv.removeChild(plotDiv.lastChild);
}
var resultIndex = tab_results_headers_json.findIndex(header =>
header.toLowerCase() === selectedResult.toLowerCase()
);
var resultValues = tab_results_csv_json.map(row => row[resultIndex]);
var minResult = Math.min(...resultValues.filter(value => value !== null && value !== ""));
var maxResult = Math.max(...resultValues.filter(value => value !== null && value !== ""));
if (minValue3d !== -Infinity) minResult = Math.max(minResult, minValue3d);
if (maxValue3d !== Infinity) maxResult = Math.min(maxResult, maxValue3d);
var invertColor = result_min_max[result_names.indexOf(selectedResult)] === "max";
var numericColumns = tab_results_headers_json.filter(col =>
!special_col_names.includes(col) && !result_names.includes(col) &&
tab_results_csv_json.every(row => !isNaN(parseFloat(row[tab_results_headers_json.indexOf(col)])))
);
if (numericColumns.length < 3) {
console.error("Not enough columns for 3D scatter plots");
return;
}
for (let i = 0; i < numericColumns.length; i++) {
for (let j = i + 1; j < numericColumns.length; j++) {
for (let k = j + 1; k < numericColumns.length; k++) {
let xCol = numericColumns[i];
let yCol = numericColumns[j];
let zCol = numericColumns[k];
let xIndex = tab_results_headers_json.indexOf(xCol);
let yIndex = tab_results_headers_json.indexOf(yCol);
let zIndex = tab_results_headers_json.indexOf(zCol);
let data = tab_results_csv_json.map(row => ({
x: parseFloat(row[xIndex]),
y: parseFloat(row[yIndex]),
z: parseFloat(row[zIndex]),
result: row[resultIndex] !== "" ? parseFloat(row[resultIndex]) : null
}));
data = data.filter(d => d.result >= minResult && d.result <= maxResult);
let layoutTitle = `${xCol} (x) vs ${yCol} (y) vs ${zCol} (z), result: ${selectedResult}`;
let layout = {
title: layoutTitle,
scene: {
xaxis: {
title: get_axis_title_data(xCol)
},
yaxis: {
title: get_axis_title_data(yCol)
},
zaxis: {
title: get_axis_title_data(zCol)
}
},
showlegend: false
};
let spinnerContainer = document.createElement("div");
spinnerContainer.style.display = "flex";
spinnerContainer.style.alignItems = "center";
spinnerContainer.style.justifyContent = "center";
spinnerContainer.style.width = layout.width + "px";
spinnerContainer.style.height = layout.height + "px";
spinnerContainer.style.position = "relative";
let spinner = document.createElement("div");
spinner.className = "spinner";
spinner.style.width = "40px";
spinner.style.height = "40px";
let loadingText = document.createElement("span");
loadingText.innerText = `Loading ${layoutTitle}`;
loadingText.style.marginLeft = "10px";
spinnerContainer.appendChild(spinner);
spinnerContainer.appendChild(loadingText);
plotDiv.appendChild(spinnerContainer);
await new Promise(resolve => setTimeout(resolve, 50));
let colors = data.map(d => {
if (d.result === null) {
return 'rgb(0, 0, 0)';
} else {
let norm = (d.result - minResult) / (maxResult - minResult);
if (invertColor) {
norm = 1 - norm;
}
return `rgb(${Math.round(255 * norm)}, ${Math.round(255 * (1 - norm))}, 0)`;
}
});
let trace = {
x: data.map(d => d.x),
y: data.map(d => d.y),
z: data.map(d => d.z),
mode: 'markers',
marker: {
size: get_marker_size(),
color: data.map(d => d.result !== null ? d.result : null),
colorscale: invertColor ? [
[0, 'red'],
[1, 'green']
] : [
[0, 'green'],
[1, 'red']
],
colorbar: {
title: 'Result',
tickvals: [minResult, maxResult],
ticktext: [`${minResult}`, `${maxResult}`]
},
},
text: data.map(d => d.result !== null ? `Result: ${d.result}` : 'No result'),
type: 'scatter3d',
showlegend: false
};
let subDiv = document.createElement("div");
try {
plotDiv.replaceChild(subDiv, spinnerContainer);
} catch (err) {
//
}
Plotly.newPlot(subDiv, [trace], add_default_layout_data(layout));
}
}
}
}
$("#plotScatter3d").data("loaded", "true");
}
async function plot_worker_cpu_ram() {
if($("#worker_cpu_ram_pre").data("loaded") == "true") {
return;
}
const logData = $("#worker_cpu_ram_pre").text();
const regex = /^Unix-Timestamp: (\d+), Hostname: ([\w-]+), CPU: ([\d.]+)%, RAM: ([\d.]+) MB \/ ([\d.]+) MB$/;
const hostData = {};
logData.split("\n").forEach(line => {
line = line.trim();
const match = line.match(regex);
if (match) {
const timestamp = new Date(parseInt(match[1]) * 1000);
const hostname = match[2];
const cpu = parseFloat(match[3]);
const ram = parseFloat(match[4]);
if (!hostData[hostname]) {
hostData[hostname] = { timestamps: [], cpuUsage: [], ramUsage: [] };
}
hostData[hostname].timestamps.push(timestamp);
hostData[hostname].cpuUsage.push(cpu);
hostData[hostname].ramUsage.push(ram);
}
});
if (!Object.keys(hostData).length) {
console.log("No valid data found");
return;
}
const container = document.getElementById("cpuRamWorkerChartContainer");
container.innerHTML = "";
var i = 1;
Object.entries(hostData).forEach(([hostname, { timestamps, cpuUsage, ramUsage }], index) => {
const chartId = `workerChart_${index}`;
const chartDiv = document.createElement("div");
chartDiv.id = chartId;
chartDiv.style.marginBottom = "40px";
container.appendChild(chartDiv);
const cpuTrace = {
x: timestamps,
y: cpuUsage,
mode: "lines+markers",
name: "CPU Usage (%)",
yaxis: "y1",
line: {
color: "red"
}
};
const ramTrace = {
x: timestamps,
y: ramUsage,
mode: "lines+markers",
name: "RAM Usage (MB)",
yaxis: "y2",
line: {
color: "blue"
}
};
const layout = {
title: `Worker CPU and RAM Usage - ${hostname}`,
xaxis: {
title: get_axis_title_data("Timestamp", "date")
},
yaxis: {
title: get_axis_title_data("CPU Usage (%)"),
side: "left",
color: "red"
},
yaxis2: {
title: get_axis_title_data("RAM Usage (MB)"),
side: "right",
overlaying: "y",
color: "blue"
},
showlegend: true
};
Plotly.newPlot(chartId, [cpuTrace, ramTrace], add_default_layout_data(layout));
i++;
});
$("#plot_worker_cpu_ram_button").remove();
$("#worker_cpu_ram_pre").data("loaded", "true");
}
function load_log_file(log_nr, filename) {
var pre_id = `single_run_${log_nr}_pre`;
if (!$("#" + pre_id).data("loaded")) {
const params = new URLSearchParams(window.location.search);
const user_id = params.get('user_id');
const experiment_name = params.get('experiment_name');
const run_nr = params.get('run_nr');
var url = `get_log?user_id=${user_id}&experiment_name=${experiment_name}&run_nr=${run_nr}&filename=${filename}`;
fetch(url)
.then(response => response.json())
.then(data => {
if (data.data) {
$("#" + pre_id).html(data.data);
$("#" + pre_id).data("loaded", true);
} else {
log(`No 'data' key found in response.`);
}
$("#spinner_log_" + log_nr).remove();
})
.catch(error => {
log(`Error loading log: ${error}`);
$("#spinner_log_" + log_nr).remove();
});
}
}
function load_debug_log () {
var pre_id = `here_debuglogs_go`;
if (!$("#" + pre_id).data("loaded")) {
const params = new URLSearchParams(window.location.search);
const user_id = params.get('user_id');
const experiment_name = params.get('experiment_name');
const run_nr = params.get('run_nr');
var url = `get_debug_log?user_id=${user_id}&experiment_name=${experiment_name}&run_nr=${run_nr}`;
fetch(url)
.then(response => response.json())
.then(data => {
$("#debug_log_spinner").remove();
if (data.data) {
try {
$("#" + pre_id).html(data.data);
} catch (err) {
$("#" + pre_id).text(`Error loading data: ${err}`);
}
$("#" + pre_id).data("loaded", true);
if (typeof apply_theme_based_on_system_preferences === 'function') {
apply_theme_based_on_system_preferences();
}
} else {
log(`No 'data' key found in response.`);
}
})
.catch(error => {
log(`Error loading log: ${error}`);
$("#debug_log_spinner").remove();
});
}
}
function plotBoxplot() {
if ($("#plotBoxplot").data("loaded") == "true") {
return;
}
var numericColumns = tab_results_headers_json.filter(col =>
!special_col_names.includes(col) && !result_names.includes(col) &&
tab_results_csv_json.every(row => !isNaN(parseFloat(row[tab_results_headers_json.indexOf(col)])))
);
if (numericColumns.length < 1) {
console.error("Not enough numeric columns for Boxplot");
return;
}
var resultIndex = tab_results_headers_json.findIndex(function(header) {
return result_names.includes(header.toLowerCase());
});
var resultValues = tab_results_csv_json.map(row => row[resultIndex]);
var minResult = Math.min(...resultValues.filter(value => value !== null && value !== ""));
var maxResult = Math.max(...resultValues.filter(value => value !== null && value !== ""));
var plotDiv = document.getElementById("plotBoxplot");
plotDiv.innerHTML = "";
let traces = numericColumns.map(col => {
let index = tab_results_headers_json.indexOf(col);
let data = tab_results_csv_json.map(row => parseFloat(row[index]));
return {
y: data,
type: 'box',
name: col,
boxmean: 'sd',
marker: {
color: 'rgb(0, 255, 0)'
},
};
});
let layout = {
title: 'Boxplot of Numerical Columns',
xaxis: {
title: get_axis_title_data("Columns")
},
yaxis: {
title: get_axis_title_data("Value")
},
showlegend: false
};
Plotly.newPlot(plotDiv, traces, add_default_layout_data(layout));
$("#plotBoxplot").data("loaded", "true");
}
function plotHeatmap() {
if ($("#plotHeatmap").data("loaded") === "true") {
return;
}
var numericColumns = tab_results_headers_json.filter(col => {
if (special_col_names.includes(col) || result_names.includes(col)) {
return false;
}
let index = tab_results_headers_json.indexOf(col);
return tab_results_csv_json.every(row => {
let value = parseFloat(row[index]);
return !isNaN(value) && isFinite(value);
});
});
if (numericColumns.length < 2) {
console.error("Not enough valid numeric columns for Heatmap");
return;
}
var columnData = numericColumns.map(col => {
let index = tab_results_headers_json.indexOf(col);
return tab_results_csv_json.map(row => parseFloat(row[index]));
});
var dataMatrix = numericColumns.map((_, i) =>
numericColumns.map((_, j) => {
let values = columnData[i].map((val, index) => (val + columnData[j][index]) / 2);
return values.reduce((a, b) => a + b, 0) / values.length;
})
);
var trace = {
z: dataMatrix,
x: numericColumns,
y: numericColumns,
colorscale: 'Viridis',
type: 'heatmap'
};
var layout = {
xaxis: {
title: get_axis_title_data("Columns")
},
yaxis: {
title: get_axis_title_data("Columns")
},
showlegend: false
};
var plotDiv = document.getElementById("plotHeatmap");
plotDiv.innerHTML = "";
Plotly.newPlot(plotDiv, [trace], add_default_layout_data(layout));
$("#plotHeatmap").data("loaded", "true");
}
function plotHistogram() {
if ($("#plotHistogram").data("loaded") == "true") {
return;
}
var numericColumns = tab_results_headers_json.filter(col =>
!special_col_names.includes(col) && !result_names.includes(col) &&
tab_results_csv_json.every(row => !isNaN(parseFloat(row[tab_results_headers_json.indexOf(col)])))
);
if (numericColumns.length < 1) {
console.error("Not enough columns for Histogram");
return;
}
var plotDiv = document.getElementById("plotHistogram");
plotDiv.innerHTML = "";
const colorPalette = ['#ff9999', '#66b3ff', '#99ff99', '#ffcc99', '#c2c2f0', '#ffb3e6'];
let traces = numericColumns.map((col, index) => {
let data = tab_results_csv_json.map(row => parseFloat(row[tab_results_headers_json.indexOf(col)]));
return {
x: data,
type: 'histogram',
name: col,
opacity: 0.7,
marker: {
color: colorPalette[index % colorPalette.length]
},
autobinx: true
};
});
let layout = {
title: 'Histogram of Numerical Columns',
xaxis: {
title: get_axis_title_data("Value")
},
yaxis: {
title: get_axis_title_data("Frequency")
},
showlegend: true,
barmode: 'overlay'
};
Plotly.newPlot(plotDiv, traces, add_default_layout_data(layout));
$("#plotHistogram").data("loaded", "true");
}
function plotViolin() {
if ($("#plotViolin").data("loaded") == "true") {
return;
}
var numericColumns = tab_results_headers_json.filter(col =>
!special_col_names.includes(col) && !result_names.includes(col) &&
tab_results_csv_json.every(row => !isNaN(parseFloat(row[tab_results_headers_json.indexOf(col)])))
);
if (numericColumns.length < 1) {
console.error("Not enough columns for Violin Plot");
return;
}
var plotDiv = document.getElementById("plotViolin");
plotDiv.innerHTML = "";
let traces = numericColumns.map(col => {
let index = tab_results_headers_json.indexOf(col);
let data = tab_results_csv_json.map(row => parseFloat(row[index]));
return {
y: data,
type: 'violin',
name: col,
box: {
visible: true
},
line: {
color: 'rgb(0, 255, 0)'
},
marker: {
color: 'rgb(0, 255, 0)'
},
meanline: {
visible: true
},
};
});
let layout = {
title: 'Violin Plot of Numerical Columns',
yaxis: {
title: get_axis_title_data("Value")
},
xaxis: {
title: get_axis_title_data("Columns")
},
showlegend: false
};
Plotly.newPlot(plotDiv, traces, add_default_layout_data(layout));
$("#plotViolin").data("loaded", "true");
}
function plotExitCodesPieChart() {
if ($("#plotExitCodesPieChart").data("loaded") == "true") {
return;
}
var exitCodes = tab_job_infos_csv_json.map(row => row[tab_job_infos_headers_json.indexOf("exit_code")]);
var exitCodeCounts = exitCodes.reduce(function(counts, exitCode) {
counts[exitCode] = (counts[exitCode] || 0) + 1;
return counts;
}, {});
var labels = Object.keys(exitCodeCounts);
var values = Object.values(exitCodeCounts);
var plotDiv = document.getElementById("plotExitCodesPieChart");
plotDiv.innerHTML = "";
var trace = {
labels: labels,
values: values,
type: 'pie',
hoverinfo: 'label+percent',
textinfo: 'label+value',
marker: {
colors: ['#ff9999','#66b3ff','#99ff99','#ffcc99','#c2c2f0']
}
};
var layout = {
title: 'Exit Code Distribution',
showlegend: true
};
Plotly.newPlot(plotDiv, [trace], add_default_layout_data(layout));
$("#plotExitCodesPieChart").data("loaded", "true");
}
function plotResultEvolution() {
if ($("#plotResultEvolution").data("loaded") == "true") {
return;
}
result_names.forEach(resultName => {
var relevantColumns = tab_results_headers_json.filter(col =>
!special_col_names.includes(col) && !col.startsWith("OO_Info") && col.toLowerCase() !== resultName.toLowerCase()
);
var xColumnIndex = tab_results_headers_json.indexOf("trial_index");
var resultIndex = tab_results_headers_json.indexOf(resultName);
let data = tab_results_csv_json.map(row => ({
x: row[xColumnIndex],
y: parseFloat(row[resultIndex])
}));
data.sort((a, b) => a.x - b.x);
let xData = data.map(item => item.x);
let yData = data.map(item => item.y);
let trace = {
x: xData,
y: yData,
mode: 'lines+markers',
name: resultName,
line: {
shape: 'linear'
},
marker: {
size: get_marker_size()
}
};
let layout = {
title: `Evolution of ${resultName} over time`,
xaxis: {
title: get_axis_title_data("Trial-Index")
},
yaxis: {
title: get_axis_title_data(resultName)
},
showlegend: true
};
let subDiv = document.createElement("div");
document.getElementById("plotResultEvolution").appendChild(subDiv);
Plotly.newPlot(subDiv, [trace], add_default_layout_data(layout));
});
$("#plotResultEvolution").data("loaded", "true");
}
function plotResultPairs() {
if ($("#plotResultPairs").data("loaded") == "true") {
return;
}
var plotDiv = document.getElementById("plotResultPairs");
plotDiv.innerHTML = "";
for (let i = 0; i < result_names.length; i++) {
for (let j = i + 1; j < result_names.length; j++) {
let xName = result_names[i];
let yName = result_names[j];
let xIndex = tab_results_headers_json.indexOf(xName);
let yIndex = tab_results_headers_json.indexOf(yName);
let data = tab_results_csv_json
.filter(row => row[xIndex] !== "" && row[yIndex] !== "")
.map(row => ({
x: parseFloat(row[xIndex]),
y: parseFloat(row[yIndex]),
status: row[tab_results_headers_json.indexOf("trial_status")]
}));
let colors = data.map(d => d.status === "COMPLETED" ? 'green' : (d.status === "FAILED" ? 'red' : 'gray'));
let trace = {
x: data.map(d => d.x),
y: data.map(d => d.y),
mode: 'markers',
marker: {
size: get_marker_size(),
color: colors
},
text: data.map(d => `Status: ${d.status}`),
type: 'scatter',
showlegend: false
};
let layout = {
xaxis: {
title: get_axis_title_data(xName)
},
yaxis: {
title: get_axis_title_data(yName)
},
showlegend: false
};
let subDiv = document.createElement("div");
plotDiv.appendChild(subDiv);
Plotly.newPlot(subDiv, [trace], add_default_layout_data(layout));
}
}
$("#plotResultPairs").data("loaded", "true");
}
function add_up_down_arrows_for_scrolling () {
const upArrow = document.createElement('div');
const downArrow = document.createElement('div');
const style = document.createElement('style');
style.innerHTML = `
.scroll-arrow {
position: fixed;
right: 10px;
z-index: 100;
cursor: pointer;
font-size: 25px;
display: none;
background-color: green;
color: white;
padding: 5px;
outline: 2px solid white;
box-shadow: 0 0 10px rgba(0, 0, 0, 0.5);
transition: background-color 0.3s, transform 0.3s;
}
.scroll-arrow:hover {
background-color: darkgreen;
transform: scale(1.1);
}
#up-arrow {
top: 10px;
}
#down-arrow {
bottom: 10px;
}
`;
document.head.appendChild(style);
upArrow.id = "up-arrow";
upArrow.classList.add("scroll-arrow");
upArrow.classList.add("invert_in_dark_mode");
upArrow.innerHTML = "↑";
downArrow.id = "down-arrow";
downArrow.classList.add("scroll-arrow");
downArrow.classList.add("invert_in_dark_mode");
downArrow.innerHTML = "↓";
document.body.appendChild(upArrow);
document.body.appendChild(downArrow);
function checkScrollPosition() {
const scrollPosition = window.scrollY;
const pageHeight = document.documentElement.scrollHeight;
const windowHeight = window.innerHeight;
if (scrollPosition > 0) {
upArrow.style.display = "block";
} else {
upArrow.style.display = "none";
}
if (scrollPosition + windowHeight < pageHeight) {
downArrow.style.display = "block";
} else {
downArrow.style.display = "none";
}
}
window.addEventListener("scroll", checkScrollPosition);
upArrow.addEventListener("click", function () {
window.scrollTo({ top: 0, behavior: 'smooth' });
});
downArrow.addEventListener("click", function () {
window.scrollTo({ top: document.documentElement.scrollHeight, behavior: 'smooth' });
});
checkScrollPosition();
if (typeof apply_theme_based_on_system_preferences === 'function') {
apply_theme_based_on_system_preferences();
}
}
function plotGPUUsage() {
if ($("#tab_gpu_usage").data("loaded") === "true") {
return;
}
Object.keys(gpu_usage).forEach(node => {
const nodeData = gpu_usage[node];
var timestamps = [];
var gpuUtilizations = [];
var temperatures = [];
nodeData.forEach(entry => {
try {
var timestamp = new Date(entry[0]* 1000);
var utilization = parseFloat(entry[1]);
var temperature = parseFloat(entry[2]);
if (!isNaN(timestamp) && !isNaN(utilization) && !isNaN(temperature)) {
timestamps.push(timestamp);
gpuUtilizations.push(utilization);
temperatures.push(temperature);
} else {
console.warn("Invalid data point:", entry);
}
} catch (error) {
console.error("Error processing GPU data entry:", error, entry);
}
});
var trace1 = {
x: timestamps,
y: gpuUtilizations,
mode: 'lines+markers',
marker: {
size: get_marker_size(),
},
name: 'GPU Utilization (%)',
type: 'scatter',
yaxis: 'y1'
};
var trace2 = {
x: timestamps,
y: temperatures,
mode: 'lines+markers',
marker: {
size: get_marker_size(),
},
name: 'GPU Temperature (°C)',
type: 'scatter',
yaxis: 'y2'
};
var layout = {
title: 'GPU Usage Over Time - ' + node,
xaxis: {
title: get_axis_title_data("Timestamp", "date"),
tickmode: 'array',
tickvals: timestamps.filter((_, index) => index % Math.max(Math.floor(timestamps.length / 10), 1) === 0),
ticktext: timestamps.filter((_, index) => index % Math.max(Math.floor(timestamps.length / 10), 1) === 0).map(t => t.toLocaleString()),
tickangle: -45
},
yaxis: {
title: get_axis_title_data("GPU Utilization (%)"),
overlaying: 'y',
rangemode: 'tozero'
},
yaxis2: {
title: get_axis_title_data("GPU Temperature (°C)"),
overlaying: 'y',
side: 'right',
position: 0.85,
rangemode: 'tozero'
},
legend: {
x: 0.1,
y: 0.9
}
};
var divId = 'gpu_usage_plot_' + node;
if (!document.getElementById(divId)) {
var div = document.createElement('div');
div.id = divId;
div.className = 'gpu-usage-plot';
document.getElementById('tab_gpu_usage').appendChild(div);
}
var plotData = [trace1, trace2];
Plotly.newPlot(divId, plotData, add_default_layout_data(layout));
});
$("#tab_gpu_usage").data("loaded", "true");
}
function plotResultsDistributionByGenerationMethod() {
if ("true" === $("#plotResultsDistributionByGenerationMethod").data("loaded")) {
return;
}
var res_col = result_names[0];
var gen_method_col = "generation_node";
var data = {};
tab_results_csv_json.forEach(row => {
var gen_method = row[tab_results_headers_json.indexOf(gen_method_col)];
var result = row[tab_results_headers_json.indexOf(res_col)];
if (!data[gen_method]) {
data[gen_method] = [];
}
data[gen_method].push(result);
});
var traces = Object.keys(data).map(method => {
return {
y: data[method],
type: 'box',
name: method,
boxpoints: 'outliers',
jitter: 0.5,
pointpos: 0
};
});
var layout = {
title: 'Distribution of Results by Generation Method',
yaxis: {
title: get_axis_title_data(res_col)
},
xaxis: {
title: get_axis_title_data("Generation Method")
},
boxmode: 'group'
};
Plotly.newPlot("plotResultsDistributionByGenerationMethod", traces, add_default_layout_data(layout));
$("#plotResultsDistributionByGenerationMethod").data("loaded", "true");
}
function plotJobStatusDistribution() {
if ($("#plotJobStatusDistribution").data("loaded") === "true") {
return;
}
var status_col = "trial_status";
var status_counts = {};
tab_results_csv_json.forEach(row => {
var status = row[tab_results_headers_json.indexOf(status_col)];
if (status) {
status_counts[status] = (status_counts[status] || 0) + 1;
}
});
var statuses = Object.keys(status_counts);
var counts = Object.values(status_counts);
var colors = statuses.map((status, i) =>
status === "FAILED" ? "#FF0000" : `hsl(${30 + ((i * 137) % 330)}, 70%, 50%)`
);
var trace = {
x: statuses,
y: counts,
type: 'bar',
marker: { color: colors }
};
var layout = {
title: 'Distribution of Job Status',
xaxis: { title: 'Trial Status' },
yaxis: { title: 'Nr. of jobs' }
};
Plotly.newPlot("plotJobStatusDistribution", [trace], add_default_layout_data(layout));
$("#plotJobStatusDistribution").data("loaded", "true");
}
function _colorize_table_entries_by_generation_method () {
document.querySelectorAll('[data-column-id="generation_node"]').forEach(el => {
let text = el.textContent.toLowerCase();
let color = text.includes("manual") ? "green" :
text.includes("sobol") ? "orange" :
text.includes("saasbo") ? "pink" :
text.includes("uniform") ? "lightblue" :
text.includes("legacy_gpei") ? "sienna" :
text.includes("bo_mixed") ? "aqua" :
text.includes("randomforest") ? "darkseagreen" :
text.includes("external_generator") ? "purple" :
text.includes("botorch") ? "yellow" : "";
if (color !== "") {
el.style.backgroundColor = color;
}
el.classList.add("invert_in_dark_mode");
});
}
function _colorize_table_entries_by_trial_status () {
document.querySelectorAll('[data-column-id="trial_status"]').forEach(el => {
let color = el.textContent.includes("COMPLETED") ? "lightgreen" :
el.textContent.includes("RUNNING") ? "orange" :
el.textContent.includes("FAILED") ? "red" :
el.textContent.includes("ABANDONED") ? "yellow" : "";
if (color) el.style.backgroundColor = color;
el.classList.add("invert_in_dark_mode");
});
}
function _colorize_table_entries_by_run_time() {
let cells = [...document.querySelectorAll('[data-column-id="run_time"]')];
if (cells.length === 0) return;
let values = cells.map(el => parseFloat(el.textContent)).filter(v => !isNaN(v));
if (values.length === 0) return;
let min = Math.min(...values);
let max = Math.max(...values);
let range = max - min || 1;
cells.forEach(el => {
let value = parseFloat(el.textContent);
if (isNaN(value)) return;
let ratio = (value - min) / range;
let red = Math.round(255 * ratio);
let green = Math.round(255 * (1 - ratio));
el.style.backgroundColor = `rgb(${red}, ${green}, 0)`;
el.classList.add("invert_in_dark_mode");
});
}
function _colorize_table_entries_by_results() {
result_names.forEach((name, index) => {
let minMax = result_min_max[index];
let selector_query = `[data-column-id="${name}"]`;
let cells = [...document.querySelectorAll(selector_query)];
if (cells.length === 0) return;
let values = cells.map(el => parseFloat(el.textContent)).filter(v => v > 0 && !isNaN(v));
if (values.length === 0) return;
let logValues = values.map(v => Math.log(v));
let logMin = Math.min(...logValues);
let logMax = Math.max(...logValues);
let logRange = logMax - logMin || 1;
cells.forEach(el => {
let value = parseFloat(el.textContent);
if (isNaN(value) || value <= 0) return;
let logValue = Math.log(value);
let ratio = (logValue - logMin) / logRange;
if (minMax === "max") ratio = 1 - ratio;
let red = Math.round(255 * ratio);
let green = Math.round(255 * (1 - ratio));
el.style.backgroundColor = `rgb(${red}, ${green}, 0)`;
el.classList.add("invert_in_dark_mode");
});
});
}
function _colorize_table_entries_by_generation_node_or_hostname() {
["hostname", "generation_node"].forEach(element => {
let selector_query = '[data-column-id="' + element + '"]:not(.gridjs-th)';
let cells = [...document.querySelectorAll(selector_query)];
if (cells.length === 0) return;
let uniqueValues = [...new Set(cells.map(el => el.textContent.trim()))];
let colorMap = {};
uniqueValues.forEach((value, index) => {
let hue = Math.round((360 / uniqueValues.length) * index);
colorMap[value] = `hsl(${hue}, 70%, 60%)`;
});
cells.forEach(el => {
let value = el.textContent.trim();
if (colorMap[value]) {
el.style.backgroundColor = colorMap[value];
el.classList.add("invert_in_dark_mode");
}
});
});
}
function colorize_table_entries () {
setTimeout(() => {
if (typeof result_names !== "undefined" && Array.isArray(result_names) && result_names.length > 0) {
_colorize_table_entries_by_trial_status();
_colorize_table_entries_by_results();
_colorize_table_entries_by_run_time();
_colorize_table_entries_by_generation_method();
_colorize_table_entries_by_generation_node_or_hostname();
if (typeof apply_theme_based_on_system_preferences === 'function') {
apply_theme_based_on_system_preferences();
}
}
}, 300);
}
function add_colorize_to_gridjs_table () {
let searchInput = document.querySelector(".gridjs-search-input");
if (searchInput) {
searchInput.addEventListener("input", colorize_table_entries);
}
}
function updatePreWidths() {
var width = window.innerWidth * 0.95;
var pres = document.getElementsByTagName('pre');
for (var i = 0; i < pres.length; i++) {
pres[i].style.width = width + 'px';
}
}
function demo_mode(nr_sec = 3) {
let i = 0;
let tabs = $('menu[role="tablist"] > button');
setInterval(() => {
tabs.attr('aria-selected', 'false').removeClass('active');
let tab = tabs.eq(i % tabs.length);
tab.attr('aria-selected', 'true').addClass('active');
tab.trigger('click');
i++;
}, nr_sec * 1000);
}
function resizePlotlyCharts() {
const plotlyElements = document.querySelectorAll('.js-plotly-plot');
if (plotlyElements.length) {
const windowWidth = window.innerWidth;
const windowHeight = window.innerHeight;
const newWidth = windowWidth * 0.9;
const newHeight = windowHeight * 0.9;
plotlyElements.forEach(function(element, index) {
const layout = {
width: newWidth,
height: newHeight,
plot_bgcolor: 'rgba(0, 0, 0, 0)',
paper_bgcolor: 'rgba(0, 0, 0, 0)',
};
Plotly.relayout(element, layout)
});
}
make_text_in_parallel_plot_nicer();
apply_theme_based_on_system_preferences();
}
window.addEventListener('load', updatePreWidths);
window.addEventListener('resize', updatePreWidths);
$(document).ready(function() {
colorize_table_entries();
add_up_down_arrows_for_scrolling();
add_colorize_to_gridjs_table();
});
window.addEventListener('resize', function() {
resizePlotlyCharts();
});
"use strict";
function get_row_by_index(idx) {
if (!Object.keys(window).includes("tab_results_csv_json")) {
error("tab_results_csv_json is not defined");
return;
}
if (!Object.keys(window).includes("tab_results_headers_json")) {
error("tab_results_headers_json is not defined");
return;
}
var trial_index_col_idx = tab_results_headers_json.indexOf("trial_index");
if(trial_index_col_idx == -1) {
error(`"trial_index" could not be found in tab_results_headers_json. Cannot continue`);
return null;
}
for (var i = 0; i < tab_results_csv_json.length; i++) {
var row = tab_results_csv_json[i];
var trial_index = row[trial_index_col_idx];
if (trial_index == idx) {
return row;
}
}
return null;
}
function load_pareto_graph_from_idxs () {
if (!Object.keys(window).includes("pareto_idxs")) {
error("pareto_idxs is not defined");
return;
}
if (!Object.keys(window).includes("tab_results_csv_json")) {
error("tab_results_csv_json is not defined");
return;
}
if (!Object.keys(window).includes("tab_results_headers_json")) {
error("tab_results_headers_json is not defined");
return;
}
if(pareto_idxs === null) {
var err_msg = "pareto_idxs is null. Cannot plot or create tables from empty data. This can be caused by a defective <tt>pareto_idxs.json</tt> file. Please try reloading, or re-calculating the pareto-front and re-submitting if this problem persists.";
$("#pareto_from_idxs_table").html(`<div class="caveat alarm">${err_msg}</div>`);
return;
}
var table = get_pareto_table_data_from_idx();
var html_tables = createParetoTablesFromData(table);
$("#pareto_from_idxs_table").html(html_tables);
renderParetoFrontPlots(table);
apply_theme_based_on_system_preferences();
}
function renderParetoFrontPlots(data) {
try {
let container = document.getElementById("pareto_front_idxs_plot_container");
if (!container) {
console.error("DIV with id 'pareto_front_idxs_plot_container' not found.");
return;
}
container.innerHTML = "";
if(data === undefined || data === null) {
var err_msg = "There was an error getting the data for Pareto-Fronts. See the developer's console to see further details.";
$("#pareto_from_idxs_table").html(`<div class="caveat alarm">${err_msg}</div>`);
return;
}
Object.keys(data).forEach((key, idx) => {
if (!key.startsWith("Pareto front for ")) return;
let label = key.replace("Pareto front for ", "");
let [xKey, yKey] = label.split("/");
if (!xKey || !yKey) {
console.warn("Could not extract two objectives from key:", key);
return;
}
let entries = data[key];
let x = [];
let y = [];
let hoverTexts = [];
entries.forEach((entry) => {
let results = entry.results || {};
let values = entry.values || {};
let xVal = (results[xKey] || [])[0];
let yVal = (results[yKey] || [])[0];
if (xVal === undefined || yVal === undefined) {
console.warn("Missing values for", xKey, yKey, "in", entry);
return;
}
x.push(xVal);
y.push(yVal);
let hoverInfo = [];
if ("trial_index" in values) {
hoverInfo.push(`<b>Trial Index:</b> ${values.trial_index[0]}`);
}
Object.keys(values)
.filter(k => k !== "trial_index")
.sort()
.forEach(k => {
hoverInfo.push(`<b>${k}:</b> ${values[k][0]}`);
});
Object.keys(results)
.sort()
.forEach(k => {
hoverInfo.push(`<b>${k}:</b> ${results[k][0]}`);
});
hoverTexts.push(hoverInfo.join("<br>"));
});
let wrapper = document.createElement("div");
wrapper.style.marginBottom = "30px";
let titleEl = document.createElement("h3");
titleEl.textContent = `Pareto Front: ${xKey} (${getMinMaxByResultName(xKey)}) vs ${yKey} (${getMinMaxByResultName(yKey)})`;
wrapper.appendChild(titleEl);
let divId = `pareto_plot_${idx}`;
let plotDiv = document.createElement("div");
plotDiv.id = divId;
plotDiv.style.width = "100%";
plotDiv.style.height = "400px";
wrapper.appendChild(plotDiv);
container.appendChild(wrapper);
let trace = {
x: x,
y: y,
text: hoverTexts,
hoverinfo: "text",
mode: "markers",
type: "scatter",
marker: {
size: 8,
color: 'rgb(31, 119, 180)',
line: {
width: 1,
color: 'black'
}
},
name: label
};
let layout = {
xaxis: { title: { text: xKey } },
yaxis: { title: { text: yKey } },
margin: { t: 10, l: 60, r: 20, b: 50 },
hovermode: "closest",
showlegend: false
};
Plotly.newPlot(divId, [trace], add_default_layout_data(layout, 1));
});
} catch (e) {
console.error("Error while rendering Pareto front plots:", e);
}
}
function createParetoTablesFromData(data) {
try {
var container = document.createElement("div");
var parsedData;
try {
parsedData = typeof data === "string" ? JSON.parse(data) : data;
} catch (e) {
console.error("JSON parsing failed:", e);
return container;
}
for (var sectionTitle in parsedData) {
if (!parsedData.hasOwnProperty(sectionTitle)) {
continue;
}
var sectionData = parsedData[sectionTitle];
var heading = document.createElement("h2");
heading.textContent = sectionTitle;
container.appendChild(heading);
var table = document.createElement("table");
table.style.borderCollapse = "collapse";
table.style.marginBottom = "2em";
table.style.width = "100%";
var thead = document.createElement("thead");
var headerRow = document.createElement("tr");
var allValueKeys = new Set();
var allResultKeys = new Set();
sectionData.forEach(entry => {
var values = entry.values || {};
var results = entry.results || {};
Object.keys(values).forEach(key => {
allValueKeys.add(key);
});
Object.keys(results).forEach(key => {
allResultKeys.add(key);
});
});
var sortedValueKeys = Array.from(allValueKeys).sort();
var sortedResultKeys = Array.from(allResultKeys).sort();
if (sortedValueKeys.includes("trial_index")) {
sortedValueKeys = sortedValueKeys.filter(k => k !== "trial_index");
sortedValueKeys.unshift("trial_index");
}
var allColumns = [...sortedValueKeys, ...sortedResultKeys];
allColumns.forEach(col => {
var th = document.createElement("th");
th.textContent = col;
th.style.border = "1px solid black";
th.style.padding = "4px";
headerRow.appendChild(th);
});
thead.appendChild(headerRow);
table.appendChild(thead);
var tbody = document.createElement("tbody");
sectionData.forEach(entry => {
var tr = document.createElement("tr");
allColumns.forEach(col => {
var td = document.createElement("td");
td.style.border = "1px solid black";
td.style.padding = "4px";
var value = null;
if (col in entry.values) {
value = entry.values[col];
} else if (col in entry.results) {
value = entry.results[col];
}
if (Array.isArray(value)) {
td.textContent = value.join(", ");
} else {
td.textContent = value !== null && value !== undefined ? value : "";
}
tr.appendChild(td);
});
tbody.appendChild(tr);
});
table.appendChild(tbody);
container.appendChild(table);
}
return container;
} catch (err) {
console.error("Unexpected error:", err);
var errorDiv = document.createElement("div");
errorDiv.textContent = "Error generating tables.";
return errorDiv;
}
}
function get_pareto_table_data_from_idx () {
if (!Object.keys(window).includes("pareto_idxs")) {
error("pareto_idxs is not defined");
return;
}
if (!Object.keys(window).includes("tab_results_csv_json")) {
error("tab_results_csv_json is not defined");
return;
}
if (!Object.keys(window).includes("tab_results_headers_json")) {
error("tab_results_headers_json is not defined");
return;
}
var x_keys = Object.keys(pareto_idxs);
var tables = {};
for (var i = 0; i < x_keys.length; i++) {
var x_key = x_keys[i];
var y_keys = Object.keys(pareto_idxs[x_key]);
for (var j = 0; j < y_keys.length; j++) {
var y_key = y_keys[j];
var indices = pareto_idxs[x_key][y_key];
for (var k = 0; k < indices.length; k++) {
var idx = indices[k];
var row = get_row_by_index(idx);
if(row === null) {
error(`Error getting the row for index ${idx}`);
return;
}
var row_dict = {
"results": {},
"values": {},
};
for (var l = 0; l < tab_results_headers_json.length; l++) {
var header = tab_results_headers_json[l];
if (!special_col_names.includes(header) || header == "trial_index") {
var val = row[l];
if (result_names.includes(header)) {
if (!Object.keys(row_dict["results"]).includes(header)) {
row_dict["results"][header] = [];
}
row_dict["results"][header].push(val);
} else {
if (!Object.keys(row_dict["values"]).includes(header)) {
row_dict["values"][header] = [];
}
row_dict["values"][header].push(val);
}
}
}
var table_key = `Pareto front for ${x_key}/${y_key}`;
if(!Object.keys(tables).includes(table_key)) {
tables[table_key] = [];
}
tables[table_key].push(row_dict);
}
}
}
return tables;
}
function getMinMaxByResultName(resultName) {
try {
if (typeof resultName !== "string") {
error("Parameter resultName must be a string");
return;
}
if (!Array.isArray(result_names)) {
error("Global variable result_names is not an array or undefined");
return;
}
if (!Array.isArray(result_min_max)) {
error("Global variable result_min_max is not an array or undefined");
return;
}
if (result_names.length !== result_min_max.length) {
error("Global arrays result_names and result_min_max must have the same length");
return;
}
var index = result_names.indexOf(resultName);
if (index === -1) {
error("Result name '" + resultName + "' not found in result_names");
return;
}
var minMaxValue = result_min_max[index];
if (minMaxValue !== "min" && minMaxValue !== "max") {
error("Value for result name '" + resultName + "' is invalid: expected 'min' or 'max'");
return;
}
return minMaxValue;
} catch (e) {
error("Unexpected error: " + e.message);
}
}
$(document).ready(function() {
colorize_table_entries();;
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();
colorize_table_entries();
});
</script>
<h1> 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>50370 </td></tr><tr><td> Max. nr. evaluations (from arguments)</td><td>50000 </td></tr><tr><td> Number random steps</td><td>20 </td></tr><tr><td> Nr. of workers (parameter)</td><td>20 </td></tr><tr><td> Main process memory (GB)</td><td>8 </td></tr><tr><td> Worker memory (GB)</td><td>32 </td></tr><tr><td> Nr. imported jobs</td><td>370 </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> batch_size</td><td>int</td><td>2</td><td>5000</td><td></td><td>int</td><td>No </td></tr><tr><td> gamma</td><td>float</td><td>0.001</td><td>10</td><td></td><td>float</td><td>No </td></tr><tr><td> alpha</td><td>float</td><td>0.0005</td><td>0.05</td><td></td><td>float</td><td>No </td></tr><tr><td> use_mmd2</td><td>choice</td><td></td><td></td><td>True, False</td><td></td><td></td></tr><tr><td> use_k2s_test</td><td>choice</td><td></td><td></td><td>True, False</td><td></td><td></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>280</td>
<td>509</td>
<td>199</td>
<td>988</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> Results</h1>
<div id='tab_results_csv_table'></div>
<button class='copy_clipboard_button' onclick='copy_to_clipboard_from_id("tab_results_csv_table_pre")'> Copy raw data to clipboard</button>
<button onclick='download_as_file("tab_results_csv_table_pre", "results.csv")'> Download »results.csv« as file</button>
<pre id='tab_results_csv_table_pre'>trial_index,arm_name,trial_status,generation_method,generation_node,ACCURACY,RUNTIME,recent_samples_size,batch_size,gamma,alpha,use_mmd2,use_k2s_test
0,0_0,RUNNING,Sobol,SOBOL,,,1616,4542,7.192241615533829346418315253686,0.021897323220968246959561298581,True,True
1,1_0,COMPLETED,Sobol,SOBOL,0.729999999999999982236431605997,2.000000000000000000000000000000,4940,1497,2.762664212594740043016372510465,0.044614964567124847094614636944,False,False
2,2_0,COMPLETED,Sobol,SOBOL,0.709999999999999964472863211995,2.000000000000000000000000000000,3564,2802,8.822757236772217126485884364229,0.007605078171938657247141968298,False,False
3,3_0,COMPLETED,Sobol,SOBOL,0.729999999999999982236431605997,1690.000000000000000000000000000000,473,849,1.229753375276923188508249040751,0.034181946804281326812713359686,True,True
4,4_0,RUNNING,Sobol,SOBOL,,,726,3386,4.945457718915307054885488469154,0.028192089373711499283858827880,True,True
5,5_0,COMPLETED,Sobol,SOBOL,0.729999999999999982236431605997,2.000000000000000000000000000000,2725,183,5.010055885421112797928344662068,0.001606087685562670400868379161,False,False
6,6_0,COMPLETED,Sobol,SOBOL,0.729999999999999982236431605997,2.000000000000000000000000000000,3787,3959,1.537412623200565597869626799366,0.038616587032563987058608745429,False,False
7,7_0,COMPLETED,Sobol,SOBOL,0.719999999999999973354647408996,6360.000000000000000000000000000000,2183,2164,8.515710812320001821262849261984,0.015907987324986605504051340176,True,True
8,8_0,RUNNING,Sobol,SOBOL,,,2426,2816,2.079394323391839716208551180898,0.003604105040896684285234297107,False,True
9,9_0,FAILED,Sobol,SOBOL,,,4110,1021,7.954277144546621158838206611108,0.030376227132044734957627696303,True,False
10,10_0,COMPLETED,Sobol,SOBOL,0.709999999999999964472863211995,157.000000000000000000000000000000,2988,4841,4.257073526927270812336701055756,0.017922225314192474082686246106,True,False
11,11_0,FAILED,Sobol,SOBOL,,,1068,1637,5.718044319629670191318382421741,0.040831331905443225827045949927,False,True
12,12_0,FAILED,Sobol,SOBOL,,,228,4180,9.520972827724181186681562394369,0.047211164254229519288141858624,False,True
13,13_0,COMPLETED,Sobol,SOBOL,0.660000000000000031086244689504,23.000000000000000000000000000000,3242,2226,0.512086114736273967373847426643,0.024305056774988773038437273044,True,False
14,14_0,FAILED,Sobol,SOBOL,,,4676,3478,6.660091034937650533720443490893,0.036758159449324014078630540325,True,False
15,15_0,COMPLETED,Sobol,SOBOL,0.719999999999999973354647408996,872.000000000000000000000000000000,1274,433,3.314419054036028544629743919359,0.009982946782838553884120713633,False,True
16,16_0,COMPLETED,Sobol,SOBOL,0.709999999999999964472863211995,223.000000000000000000000000000000,1546,3690,7.600523342947476557185382262105,0.040424627265892923433376893172,True,False
17,17_0,COMPLETED,Sobol,SOBOL,0.719999999999999973354647408996,421.000000000000000000000000000000,4405,489,2.353161624757572845112463255646,0.013834080532658846185434242670,False,True
18,18_0,FAILED,Sobol,SOBOL,,,3358,4280,6.067288288787008099234299152158,0.026106099095661194908757352096,False,True
19,19_0,FAILED,Sobol,SOBOL,,,112,2482,3.984001742207445406762644779519,0.003377871560864150867614652540,True,False
20,20_0,COMPLETED,Sobol,SOBOL,0.700000000000000066613381477509,52.000000000000000000000000000000,1108,4868,0.161383169787004593365153937157,0.009760537797585131306044026189,True,False
21,21_0,COMPLETED,Sobol,SOBOL,0.729999999999999982236431605997,5417.000000000000000000000000000000,2948,1820,9.792909853494725425093747617211,0.032485719013493508100509643555,False,True
22,22_0,RUNNING,Sobol,SOBOL,,,4306,3102,3.666713879843242374079181900015,0.020213181912433358239367109377,False,True
23,23_0,RUNNING,Sobol,SOBOL,,,2230,1150,6.385188974622638014011499763001,0.046806677600368856717594212569,True,False
24,24_0,COMPLETED,Sobol,SOBOL,0.709999999999999964472863211995,2.000000000000000000000000000000,1908,3835,3.115064528073184124679073647712,0.034698985628783707291233895376,False,False
25,25_0,COMPLETED,Sobol,SOBOL,0.709999999999999964472863211995,6012.000000000000000000000000000000,4063,1883,6.917386358810589719325889745960,0.011776248143520207448120551419,True,True
26,26_0,RUNNING,Sobol,SOBOL,,,2606,3199,0.879117776840925291281791942311,0.048992382129188632999827746062,True,True
27,27_0,COMPLETED,Sobol,SOBOL,0.709999999999999964472863211995,2.000000000000000000000000000000,845,151,9.094779488661325572707028186414,0.022209626596421006006210063788,False,False
28,28_0,COMPLETED,Sobol,SOBOL,0.709999999999999964472863211995,2.000000000000000000000000000000,434,2532,5.359404152275994981380335957510,0.016210518092848361093594178328,False,False
29,29_0,COMPLETED,Sobol,SOBOL,0.719999999999999973354647408996,2801.000000000000000000000000000000,3603,734,4.672434209129773918789396702778,0.043002265060786158679118074133,True,True
30,30_0,RUNNING,Sobol,SOBOL,,,4746,4500,8.162023165260441359691867546644,0.005787124632392079068288204269,True,True
31,31_0,COMPLETED,Sobol,SOBOL,0.719999999999999973354647408996,2.000000000000000000000000000000,1810,1299,1.811266342658549577393500840117,0.028700773318298164471507050166,False,False
32,32_0,COMPLETED,Sobol,SOBOL,0.709999999999999964472863211995,245.000000000000000000000000000000,1737,2710,4.108991618704982862197994109010,0.046046956418547779765759742077,True,False
33,33_0,COMPLETED,Sobol,SOBOL,0.719999999999999973354647408996,2089.000000000000000000000000000000,4819,912,5.919186936493963990812972042477,0.019256647785194220406923548694,False,True
34,34_0,RUNNING,Sobol,SOBOL,,,3676,4635,1.912108601609245006613946316065,0.031746950955130151528216231327,False,True
35,35_0,RUNNING,Sobol,SOBOL,,,361,1433,8.057516928195022742897890566383,0.008831766570452601397556158247,True,False
36,36_0,COMPLETED,Sobol,SOBOL,0.709999999999999964472863211995,244.000000000000000000000000000000,928,4052,6.861707982830703933530003268970,0.002445915897842496425362845969,True,False
37,37_0,RUNNING,Sobol,SOBOL,,,2523,2100,3.167078627944924118509106847341,0.025370138924568894078781511325,False,True
38,38_0,RUNNING,Sobol,SOBOL,,,3980,3294,9.625264006662183291496148740407,0.012880827836692334414925298347,False,True
39,39_0,COMPLETED,Sobol,SOBOL,0.650000000000000022204460492503,36.000000000000000000000000000000,1991,247,0.344974346613511451131728335895,0.039662000463809819750249374692,True,False
40,40_0,COMPLETED,Sobol,SOBOL,0.709999999999999964472863211995,2.000000000000000000000000000000,2313,4729,8.907539307889528856776450993493,0.029342886030208320535805910367,False,False
41,41_0,RUNNING,Sobol,SOBOL,,,4223,1681,1.043094505172222907773971201095,0.006619190355762839816922138425,True,True
42,42_0,COMPLETED,Sobol,SOBOL,0.709999999999999964472863211995,6902.000000000000000000000000000000,2865,2929,7.413367391878740164656846900471,0.043665379578247669190016466700,True,True
43,43_0,COMPLETED,Sobol,SOBOL,0.719999999999999973354647408996,2.000000000000000000000000000000,1191,977,2.634870888485573381387894187355,0.017070300984662029053495757580,False,False
44,44_0,COMPLETED,Sobol,SOBOL,0.660000000000000031086244689504,2.000000000000000000000000000000,39,3591,1.350617793597280957840212067822,0.023066271152812990730129882877,False,False
45,45_0,COMPLETED,Sobol,SOBOL,0.709999999999999964472863211995,595.000000000000000000000000000000,3431,390,8.599403493986464752651954768226,0.049658256220631302735313283847,True,True
46,46_0,FAILED,Sobol,SOBOL,,,4478,4068,4.816884918513708591092381539056,0.012611549935303629360605626175,True,True
47,47_0,COMPLETED,Sobol,SOBOL,0.709999999999999964472863211995,2.000000000000000000000000000000,1473,2270,5.230745604267344361915093031712,0.035338241771329194362838421739,False,False
48,48_0,FAILED,Sobol,SOBOL,,,1357,4354,0.767658142652362651681130500947,0.015072912624105812978703156091,True,True
49,49_0,COMPLETED,Sobol,SOBOL,0.709999999999999964472863211995,2.000000000000000000000000000000,4593,2399,9.259299831491894394730479689315,0.037977487355004994895590897386,False,False
50,50_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,2787,2,8.849497485073625213658488064539,0.000500000000000000010408340856,False,True
51,51_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,1827,2,1.924220065273657187532307943911,0.000500000000000000010408340856,True,True
52,52_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.800000000000000044408920985006,321.000000000000000000000000000000,2140,2,0.001000000000000000020816681712,0.050000000000000002775557561563,False,True
53,53_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.810000000000000053290705182008,336.000000000000000000000000000000,3312,2,0.001000000000000000020816681712,0.050000000000000002775557561563,True,True
54,54_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,633,2,8.418164257742583700405702984426,0.000500000000000000010408340856,False,True
55,55_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,2,0.001000000000000000020816681712,0.000500000000000000010408340856,True,True
56,56_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.800000000000000044408920985006,3992.000000000000000000000000000000,376,2,7.046318115989120833830838819267,0.050000000000000002775557561563,False,True
57,57_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.800000000000000044408920985006,332.000000000000000000000000000000,4204,2,10.000000000000000000000000000000,0.050000000000000002775557561563,False,True
58,58_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,2,0.001000000000000000020816681712,0.000500000000000000010408340856,False,True
59,59_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,2,3.767590356860404998684543897980,0.000500000000000000010408340856,True,True
60,60_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,2,0.001000000000000000020816681712,0.000500000000000000010408340856,False,True
61,61_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,2,10.000000000000000000000000000000,0.000500000000000000010408340856,False,True
62,62_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,35.000000000000000000000000000000,3207,2,2.655486727182006401193348210654,0.050000000000000002775557561563,False,False
63,63_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,2,10.000000000000000000000000000000,0.000500000000000000010408340856,True,True
64,64_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.810000000000000053290705182008,328.000000000000000000000000000000,2486,2,6.390210776060431641099057742395,0.050000000000000002775557561563,False,True
65,65_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,2,10.000000000000000000000000000000,0.000500000000000000010408340856,False,True
66,66_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,2,0.652181104810530154480829878594,0.000500000000000000010408340856,True,True
67,67_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,2,5.148313667818686489852098020492,0.000500000000000000010408340856,False,True
68,68_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.800000000000000044408920985006,336.000000000000000000000000000000,1,2,1.145415571318431746661303805013,0.050000000000000002775557561563,False,True
69,69_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1574,2,0.001000000000000000020816681712,0.000500000000000000010408340856,True,True
70,70_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2697,2,0.001000000000000000020816681712,0.000500000000000000010408340856,False,True
71,71_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.810000000000000053290705182008,323.000000000000000000000000000000,1,2,10.000000000000000000000000000000,0.050000000000000002775557561563,False,True
72,72_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,36.000000000000000000000000000000,3504,2,2.470362711539594968712663103361,0.000500000000000000010408340856,False,False
73,73_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.810000000000000053290705182008,320.000000000000000000000000000000,1,2,4.142974158599343148523530544480,0.050000000000000002775557561563,True,True
74,74_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,2,6.645726837560231636814478406450,0.000500000000000000010408340856,True,True
75,75_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.729999999999999982236431605997,2.000000000000000000000000000000,3461,1264,2.793046527983947147077969930251,0.000500000000000000010408340856,False,False
76,76_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.810000000000000053290705182008,344.000000000000000000000000000000,2445,2,1.464985493523578208296953562240,0.050000000000000002775557561563,True,True
77,77_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.619999999999999995559107901499,4.000000000000000000000000000000,5000,2885,0.001000000000000000020816681712,0.050000000000000002775557561563,False,False
78,78_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,585,10.000000000000000000000000000000,0.050000000000000002775557561563,True,False
79,79_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.810000000000000053290705182008,363.000000000000000000000000000000,1,2,2.469361307126678006795827968745,0.050000000000000002775557561563,True,True
80,80_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.800000000000000044408920985006,346.000000000000000000000000000000,3977,2,0.001000000000000000020816681712,0.050000000000000002775557561563,False,True
81,81_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,2,10.000000000000000000000000000000,0.000500000000000000010408340856,True,False
82,82_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,692,8.038817101901130968144570942968,0.050000000000000002775557561563,True,False
83,83_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.800000000000000044408920985006,381.000000000000000000000000000000,1,2,0.001000000000000000020816681712,0.050000000000000002775557561563,True,True
84,84_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.810000000000000053290705182008,353.000000000000000000000000000000,2817,2,3.489232824064419258291991354781,0.050000000000000002775557561563,False,True
85,85_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2214,5000,0.284842393481348599149072242653,0.050000000000000002775557561563,True,True
86,86_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,4.000000000000000000000000000000,5000,1241,0.001000000000000000020816681712,0.000500000000000000010408340856,False,False
87,87_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,2,6.582669738819015847752780246083,0.000500000000000000010408340856,False,True
88,88_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2214,5000,0.438863536676633358979415788781,0.029453185451794733351604804739,False,True
89,89_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1678,5000,2.749942678870016532499676031875,0.050000000000000002775557561563,True,True
90,90_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3095,2,10.000000000000000000000000000000,0.000500000000000000010408340856,False,True
91,91_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1826,5000,3.340126082479570435168625408551,0.000500000000000000010408340856,False,True
92,92_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3540,831,10.000000000000000000000000000000,0.000500000000000000010408340856,True,False
93,93_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,2,5.802969717318164022401560941944,0.000500000000000000010408340856,True,False
94,94_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4419,5000,2.318510389985217745589807236684,0.000500000000000000010408340856,False,True
95,95_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2776,2,4.957963748978916562748509022640,0.000500000000000000010408340856,False,True
96,96_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2214,5000,7.321813411223604184385749249486,0.000500000000000000010408340856,False,True
97,97_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,2,8.210816863684327060468604031485,0.000500000000000000010408340856,True,True
98,98_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,2,2.990965959237510851664865185739,0.000500000000000000010408340856,True,True
99,99_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,2,10.000000000000000000000000000000,0.000500000000000000010408340856,True,False
100,100_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.810000000000000053290705182008,356.000000000000000000000000000000,4857,2,7.256156719030548707394245866453,0.050000000000000002775557561563,False,True
101,101_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,6786.000000000000000000000000000000,5000,2214,0.001000000000000000020816681712,0.050000000000000002775557561563,True,True
102,102_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,1858,4542,2.103039484749677612285267969128,0.023128844185007484124394494529,True,True
103,103_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,59.000000000000000000000000000000,5000,2,9.179678114309231418133094848599,0.050000000000000002775557561563,False,False
104,104_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.810000000000000053290705182008,402.000000000000000000000000000000,3933,2,7.200280860841576924258333747275,0.050000000000000002775557561563,False,True
105,105_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,1863,4844,0.557304160378167212641642436211,0.050000000000000002775557561563,True,True
106,106_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,6349.000000000000000000000000000000,5000,2214,0.960598689507233371998040638573,0.050000000000000002775557561563,False,True
107,107_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,4387,4203,0.764437621431072633626513379568,0.050000000000000002775557561563,True,True
108,108_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.810000000000000053290705182008,351.000000000000000000000000000000,4610,2,7.495326279966756821693252277328,0.045284094927501572502848148360,False,True
109,109_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,3180,4932,3.210661609685524719992599784746,0.048132478847131697496930513580,False,True
110,110_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,5000,2,8.761930183547386619125063589308,0.011510513835788846112584415948,True,False
111,111_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,5000,3900,0.001000000000000000020816681712,0.046588455805982663393560727627,False,True
112,112_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,1324,4733,0.001000000000000000020816681712,0.020209368007197123229268242994,False,True
113,113_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,1,4320,2.396732611477807584066113122390,0.050000000000000002775557561563,True,True
114,114_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,5000,5000,10.000000000000000000000000000000,0.049850202035019504365198628193,False,True
115,115_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,2455,4564,0.001000000000000000020816681712,0.050000000000000002775557561563,False,True
116,116_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,26,4987,1.941802228991299950067173085699,0.046761648446578076010471392010,False,True
117,117_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,2.000000000000000000000000000000,1,5000,3.506587277490569309890133808949,0.000500000000000000010408340856,False,False
118,118_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,1088,4894,4.021049161274377503616506146500,0.031257009500623968156762799708,True,True
119,119_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,3576,4988,2.399399401845032198110629906296,0.017380394446834604438301141727,True,True
120,120_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,4672,4015,0.225960744314455952430620300220,0.024708250035211033052151563538,True,True
121,81_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,5000,2,10.000000000000000000000000000000,0.000500000000000000010408340856,True,False
122,122_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,53.000000000000000000000000000000,4610,2,7.958026428623372616755204944639,0.046078110108967493263598669273,False,False
123,123_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,4933,4965,1.905358056525381149626241494843,0.000500000000000000010408340856,False,True
124,124_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,4387,4203,1.432151639508625562413612897217,0.048819561358440753673360035236,False,True
125,125_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,26,4987,1.843273945371497690715045791876,0.024773176791722688327990198331,True,True
126,126_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,1,2037,10.000000000000000000000000000000,0.050000000000000002775557561563,True,False
127,127_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,5000,2214,1.250408601760578441997040499700,0.030346693883190285767614824408,False,True
128,128_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.810000000000000053290705182008,376.000000000000000000000000000000,5000,2,6.589617441806510100832383614033,0.050000000000000002775557561563,False,True
129,129_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,1594,5000,4.327410738249269250843553891173,0.050000000000000002775557561563,False,True
130,130_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,5000,2,8.620157332828465968077580328099,0.050000000000000002775557561563,True,False
131,131_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.800000000000000044408920985006,380.000000000000000000000000000000,5000,2,7.524786368868779717899997194763,0.043720850584644012359891718233,False,True
132,132_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,5000,5000,10.000000000000000000000000000000,0.000500000000000000010408340856,False,True
133,133_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,1,4320,1.347243863216073700428410120367,0.000500000000000000010408340856,True,True
134,134_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1982,0.001000000000000000020816681712,0.000500000000000000010408340856,True,True
135,135_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,5000,2.908107723159916613298037191271,0.037560526176824225730310757854,False,True
136,136_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,5000,0.001000000000000000020816681712,0.050000000000000002775557561563,True,True
137,137_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,5000,4.050738257486890425695946760243,0.050000000000000002775557561563,False,True
138,138_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4306,3102,2.010321922406048678055867640069,0.042711450269074857644113762944,False,True
139,139_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4933,4972,2.940200732823187390607699853717,0.000500000000000000010408340856,True,True
140,140_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,20.000000000000000000000000000000,1,1057,7.602454226158452676997967500938,0.049957307905127153191404687504,False,False
141,141_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,5107.000000000000000000000000000000,5000,1233,0.319126491709778137284558852116,0.043286387485702348953964246903,False,True
142,142_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3169,2,10.000000000000000000000000000000,0.050000000000000002775557561563,True,False
143,143_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1758,4689,1.408048240886720980924451396277,0.036009156385382330711752985053,True,True
144,144_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,217.000000000000000000000000000000,5000,5000,10.000000000000000000000000000000,0.050000000000000002775557561563,True,False
145,145_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,212.000000000000000000000000000000,5000,5000,7.113855498335372118390296236612,0.050000000000000002775557561563,True,False
146,146_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,5000,4.251720372805596781518033822067,0.050000000000000002775557561563,True,True
147,147_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4290,2568,0.001000000000000000020816681712,0.000948952831233109881346743375,False,True
148,148_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,2.000000000000000000000000000000,5000,5000,10.000000000000000000000000000000,0.050000000000000002775557561563,False,False
149,149_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4008,5000,1.606666593932850384263133491913,0.000500000000000000010408340856,True,True
150,150_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,5000,2,1.998450679582879585538535138767,0.000500000000000000010408340856,True,True
151,151_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,5000,2,10.000000000000000000000000000000,0.000500000000000000010408340856,True,True
152,152_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,5000,2,0.001000000000000000020816681712,0.000500000000000000010408340856,True,True
153,153_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.729999999999999982236431605997,4.000000000000000000000000000000,1,4271,0.001000000000000000020816681712,0.050000000000000002775557561563,False,False
154,154_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.790000000000000035527136788005,346.000000000000000000000000000000,3977,2,3.128689747715075686329555537668,0.029844437364852316463270653912,True,True
155,155_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.660000000000000031086244689504,3.000000000000000000000000000000,5000,4254,0.001000000000000000020816681712,0.000500000000000000010408340856,False,False
156,156_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,4686,1683,7.030140528896130724945123802172,0.000500000000000000010408340856,True,False
157,157_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.810000000000000053290705182008,402.000000000000000000000000000000,5000,2,3.091145335564261298344490569434,0.050000000000000002775557561563,True,True
158,60_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,5000,2,0.001000000000000000020816681712,0.000500000000000000010408340856,False,True
159,159_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,5000,700,5.990298173365856904126758308848,0.000500000000000000010408340856,True,False
160,160_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,5000,2,4.402864139405050281084186281078,0.000500000000000000010408340856,True,True
161,161_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.790000000000000035527136788005,385.000000000000000000000000000000,4998,2,2.499243777351916939721832022769,0.021585348397103226031346068226,True,True
162,162_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,1.000000000000000000000000000000,1,1720,10.000000000000000000000000000000,0.000500000000000000010408340856,False,False
163,63_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,2,10.000000000000000000000000000000,0.000500000000000000010408340856,True,True
164,164_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.670000000000000039968028886506,3.000000000000000000000000000000,5000,4209,0.001000000000000000020816681712,0.050000000000000002775557561563,False,False
165,165_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.690000000000000057731597280508,34.000000000000000000000000000000,5000,4192,0.001000000000000000020816681712,0.000500000000000000010408340856,True,False
166,166_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,2.000000000000000000000000000000,1,1375,4.804986042586458339087585045490,0.000500000000000000010408340856,False,False
167,55_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,2,0.001000000000000000020816681712,0.000500000000000000010408340856,True,True
168,168_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,1280,4.612114690703021047113452368649,0.050000000000000002775557561563,True,False
169,169_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,1453,5.255373523547082648121886450099,0.000500000000000000010408340856,True,False
170,170_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,2,5.214938652350716630223814718192,0.000500000000000000010408340856,True,False
171,171_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,4956,10.000000000000000000000000000000,0.000500000000000000010408340856,False,True
172,172_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,2.000000000000000000000000000000,5000,1754,10.000000000000000000000000000000,0.050000000000000002775557561563,False,False
173,65_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,2,10.000000000000000000000000000000,0.000500000000000000010408340856,False,True
174,174_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.739999999999999991118215802999,4.000000000000000000000000000000,1,4232,0.063090420702239718986348293583,0.000500000000000000010408340856,False,False
175,175_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,5000,7.630259421032922872996095975395,0.000500000000000000010408340856,True,True
176,176_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,5000,0.139289673828557086787682806062,0.000500000000000000010408340856,False,True
177,177_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,2.000000000000000000000000000000,1,1453,5.412081622524284263420213392237,0.050000000000000002775557561563,False,False
178,178_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.719999999999999973354647408996,58.000000000000000000000000000000,1,4317,0.001000000000000000020816681712,0.050000000000000002775557561563,True,False
179,179_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,2.000000000000000000000000000000,5000,1388,5.745121751581429236921394476667,0.000500000000000000010408340856,False,False
180,180_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,2.000000000000000000000000000000,1,549,5.960681746952150916740720276721,0.000500000000000000010408340856,False,False
181,181_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.800000000000000044408920985006,328.000000000000000000000000000000,5000,2,2.611230708973140135498169911443,0.037418648994297878940251678159,True,True
182,182_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,2.000000000000000000000000000000,5000,3406,10.000000000000000000000000000000,0.050000000000000002775557561563,False,False
183,183_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1388,5.307282404933597597107564070029,0.000500000000000000010408340856,True,False
184,184_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,2.000000000000000000000000000000,5000,1295,4.768840527497563819281367614167,0.050000000000000002775557561563,False,False
185,185_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1437,5.860954652019619182112819544272,0.050000000000000002775557561563,True,False
186,186_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,728,5.811617666626072598035079863621,0.000500000000000000010408340856,True,False
187,187_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,5000,7.443236441568245709277107380331,0.050000000000000002775557561563,False,True
188,188_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,787,5.442518052792357785563126526540,0.050000000000000002775557561563,True,False
189,189_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,2,6.885648474403931906806519691600,0.000500000000000000010408340856,True,True
190,190_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1638,10.000000000000000000000000000000,0.000500000000000000010408340856,True,False
191,191_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,5000,10.000000000000000000000000000000,0.050000000000000002775557561563,True,True
192,192_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,2.000000000000000000000000000000,5000,1835,9.093722269393996526787304901518,0.000500000000000000010408340856,False,False
193,193_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,4219,2.061849111586502303339329955634,0.050000000000000002775557561563,True,False
194,194_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,2,3.964332180089697121871950002969,0.000500000000000000010408340856,False,True
195,195_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,5000,5.216185323577962940078123210697,0.050000000000000002775557561563,True,True
196,196_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,2.000000000000000000000000000000,5000,4219,2.590370787272725738858980548684,0.000500000000000000010408340856,False,False
197,197_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,60.000000000000000000000000000000,1,2,5.408658251515353398986007960048,0.050000000000000002775557561563,False,False
198,198_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.810000000000000053290705182008,357.000000000000000000000000000000,5000,2,0.001000000000000000020816681712,0.050000000000000002775557561563,True,True
199,199_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2235,5000,0.001000000000000000020816681712,0.050000000000000002775557561563,True,True
200,200_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.660000000000000031086244689504,4.000000000000000000000000000000,1,4071,1.282623215557449514179211291776,0.000500000000000000010408340856,False,False
201,201_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.719999999999999973354647408996,4.000000000000000000000000000000,1,4072,0.868073995832207345735298531508,0.050000000000000002775557561563,False,False
202,202_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.700000000000000066613381477509,38.000000000000000000000000000000,1,4011,0.001000000000000000020816681712,0.000500000000000000010408340856,True,False
203,203_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,5000,675,10.000000000000000000000000000000,0.000500000000000000010408340856,True,False
204,204_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,2.000000000000000000000000000000,4705,1788,3.552333338871012546889005534467,0.050000000000000002775557561563,False,False
205,63_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,1,2,10.000000000000000000000000000000,0.000500000000000000010408340856,True,True
206,206_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,140.000000000000000000000000000000,4776,1759,2.914739825830483077595545182703,0.000500000000000000010408340856,True,False
207,207_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,2.000000000000000000000000000000,5000,474,6.390678728319580059746840561274,0.050000000000000002775557561563,False,False
208,208_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,2.000000000000000000000000000000,5000,3787,10.000000000000000000000000000000,0.000500000000000000010408340856,False,False
209,209_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,5000,4718,5.329458385139356657589360111160,0.050000000000000002775557561563,False,True
210,210_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,5000,289,6.751551083416362786238096305169,0.000500000000000000010408340856,True,False
211,211_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.670000000000000039968028886506,103.000000000000000000000000000000,1,4100,1.968924575166036916584744176362,0.050000000000000002775557561563,True,False
212,212_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.640000000000000013322676295502,3.000000000000000000000000000000,1,1719,0.001000000000000000020816681712,0.000500000000000000010408340856,False,False
213,213_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,2.000000000000000000000000000000,5000,668,10.000000000000000000000000000000,0.050000000000000002775557561563,False,False
214,214_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.790000000000000035527136788005,379.000000000000000000000000000000,5000,2,0.001000000000000000020816681712,0.022573282996346217404992628985,True,True
215,215_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,2.000000000000000000000000000000,1,4329,4.202698415772777806864723970648,0.000500000000000000010408340856,False,False
216,216_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,1,713,10.000000000000000000000000000000,0.050000000000000002775557561563,True,False
217,217_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,1,746,10.000000000000000000000000000000,0.000500000000000000010408340856,True,False
218,218_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,2.000000000000000000000000000000,1,563,10.000000000000000000000000000000,0.000500000000000000010408340856,False,False
219,219_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,2.000000000000000000000000000000,1,3079,10.000000000000000000000000000000,0.050000000000000002775557561563,False,False
220,220_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,1,5000,0.001000000000000000020816681712,0.000500000000000000010408340856,False,True
221,221_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4823,1838,4.479695766550623403645658981986,0.050000000000000002775557561563,True,False
222,222_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,403,7.708604913050655760287099838024,0.050000000000000002775557561563,True,False
223,223_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,2.000000000000000000000000000000,4399,3115,6.562288059745670310007881198544,0.000500000000000000010408340856,False,False
224,224_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,2.000000000000000000000000000000,1,4380,4.920087204424955729109569801949,0.050000000000000002775557561563,False,False
225,225_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,2,4.888094228669572771650564391166,0.000500000000000000010408340856,True,False
226,226_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.690000000000000057731597280508,139.000000000000000000000000000000,1,4108,2.023902055496363150410843445570,0.000500000000000000010408340856,True,False
227,227_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.660000000000000031086244689504,99.000000000000000000000000000000,1,1757,1.418306035075070026252319621562,0.050000000000000002775557561563,True,False
228,228_0,FAILED,BoTorch,BOTORCH_MODULAR,,,185,5000,10.000000000000000000000000000000,0.000500000000000000010408340856,True,True
229,229_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,2.000000000000000000000000000000,1,3137,7.296049448760007827274876035517,0.000500000000000000010408340856,False,False
230,230_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.800000000000000044408920985006,405.000000000000000000000000000000,5000,2,6.618043687148292164579288510140,0.050000000000000002775557561563,True,True
231,231_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,4279,10.000000000000000000000000000000,0.000500000000000000010408340856,True,False
232,232_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,5000,5.266948002506124382193775090855,0.000500000000000000010408340856,False,True
233,233_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,2.000000000000000000000000000000,1,3240,10.000000000000000000000000000000,0.000500000000000000010408340856,False,False
234,234_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,2.000000000000000000000000000000,5000,3873,10.000000000000000000000000000000,0.050000000000000002775557561563,False,False
235,235_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,2.000000000000000000000000000000,5000,4163,10.000000000000000000000000000000,0.050000000000000002775557561563,False,False
236,236_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,702.000000000000000000000000000000,1,2716,10.000000000000000000000000000000,0.050000000000000002775557561563,True,False
237,237_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.719999999999999973354647408996,2.000000000000000000000000000000,5000,1596,2.077549613805176775827021629084,0.000500000000000000010408340856,False,False
238,238_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.670000000000000039968028886506,5.000000000000000000000000000000,1,5000,0.001000000000000000020816681712,0.050000000000000002775557561563,False,False
239,239_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.719999999999999973354647408996,2.000000000000000000000000000000,1,1740,0.852484163800362626517426178907,0.050000000000000002775557561563,False,False
240,240_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,2.000000000000000000000000000000,5000,845,10.000000000000000000000000000000,0.000500000000000000010408340856,False,False
241,136_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,5000,0.001000000000000000020816681712,0.050000000000000002775557561563,True,True
242,242_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,2.000000000000000000000000000000,1,3200,6.857968189557584359761222003726,0.050000000000000002775557561563,False,False
243,243_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,2.000000000000000000000000000000,1,2117,10.000000000000000000000000000000,0.000500000000000000010408340856,False,False
244,244_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,255.000000000000000000000000000000,5000,3628,10.000000000000000000000000000000,0.000500000000000000010408340856,True,False
245,245_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,2.000000000000000000000000000000,1,2092,10.000000000000000000000000000000,0.050000000000000002775557561563,False,False
246,246_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1075,10.000000000000000000000000000000,0.000500000000000000010408340856,True,False
247,247_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.719999999999999973354647408996,50.000000000000000000000000000000,1,3973,0.001000000000000000020816681712,0.050000000000000002775557561563,True,False
248,248_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,270.000000000000000000000000000000,4404,3136,6.049280017995910974093476397684,0.000500000000000000010408340856,True,False
249,249_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,1888,6.451001310547254341543066402664,0.050000000000000002775557561563,True,False
250,250_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.800000000000000044408920985006,473.000000000000000000000000000000,4153,2,9.018616050863723643260527751409,0.050000000000000002775557561563,True,True
251,251_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.810000000000000053290705182008,463.000000000000000000000000000000,3205,2,2.518208739084274672137553352513,0.050000000000000002775557561563,False,True
252,252_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.800000000000000044408920985006,391.000000000000000000000000000000,3020,2,9.322563364117568696087801072281,0.050000000000000002775557561563,True,True
253,253_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,5000,2,9.005215541729233663659215380903,0.000500000000000000010408340856,True,True
254,254_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.810000000000000053290705182008,350.000000000000000000000000000000,4082,2,9.046512270340247852118409355171,0.050000000000000002775557561563,False,True
255,255_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.810000000000000053290705182008,376.000000000000000000000000000000,1,2,4.944326762621202853154045442352,0.050000000000000002775557561563,False,True
256,256_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,1,5000,10.000000000000000000000000000000,0.000500000000000000010408340856,True,True
257,257_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,1,4303,5.308088903572813599396340578096,0.000500000000000000010408340856,True,True
258,258_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.800000000000000044408920985006,370.000000000000000000000000000000,5000,2,8.958259433586430731111249770038,0.050000000000000002775557561563,True,True
259,259_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,5000,4677,3.583821766857410828777119604638,0.000500000000000000010408340856,True,True
260,260_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,2715,4427,3.652893428230539196732706841431,0.050000000000000002775557561563,True,True
261,261_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,1,5000,7.595867121915584441183000308229,0.050000000000000002775557561563,True,True
262,262_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,2.000000000000000000000000000000,1,5000,10.000000000000000000000000000000,0.000500000000000000010408340856,False,False
263,263_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,3645,2,9.126073139070101092329423408955,0.000500000000000000010408340856,True,True
264,264_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,1,5000,2.849715664857919605879033042584,0.000500000000000000010408340856,False,True
265,265_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,1,4767,4.846292146114367760389995964942,0.044037849520999018670952551702,True,True
266,266_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,2345,5000,8.838388896713286868589420919307,0.050000000000000002775557561563,True,True
267,267_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,249,5000,0.843457319829207463612874562386,0.000500000000000000010408340856,True,True
268,268_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,1,4190,0.001000000000000000020816681712,0.000500000000000000010408340856,True,True
269,269_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,1,5000,8.933088456156690781995166616980,0.041800280603223480269114986640,True,True
270,270_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,3396,5000,6.907920241757515178449011727935,0.000500000000000000010408340856,False,True
271,271_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,27,5000,6.365597441078896245869600534206,0.037869713497930029832971854376,True,True
272,272_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.810000000000000053290705182008,508.000000000000000000000000000000,2954,2,5.806324485182857486620378040243,0.050000000000000002775557561563,False,True
273,273_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,1034,5000,5.147047278172426132414329913445,0.000500000000000000010408340856,True,True
274,274_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,1,5000,7.592356669126541390824058908038,0.000500000000000000010408340856,False,True
275,275_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,2.000000000000000000000000000000,3036,1645,7.305848848074679047215340688126,0.000500000000000000010408340856,False,False
276,276_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,2210,2,10.000000000000000000000000000000,0.000500000000000000010408340856,True,True
277,277_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,1,5000,5.360888169508661427187234949088,0.050000000000000002775557561563,False,True
278,278_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,1,5000,0.899270454361790427810774417594,0.050000000000000002775557561563,False,True
279,279_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,1,4529,6.145091040979006713484977808548,0.000500000000000000010408340856,False,True
280,280_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.810000000000000053290705182008,501.000000000000000000000000000000,3020,2,9.283207645552147724288261088077,0.050000000000000002775557561563,False,True
281,281_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,1,5000,4.310304633116515127255752304336,0.000500000000000000010408340856,False,True
282,282_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,2856,5000,3.723527255760761711655959516065,0.050000000000000002775557561563,True,True
283,283_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,2814,5000,10.000000000000000000000000000000,0.050000000000000002775557561563,False,True
284,284_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,5000,4677,3.558469134139850886811018426670,0.000500000000000000010408340856,False,True
285,285_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,1,4313,3.270216261173159999486870219698,0.050000000000000002775557561563,False,True
286,286_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,2.000000000000000000000000000000,5000,4718,5.519740662690723276284643361578,0.050000000000000002775557561563,False,False
287,287_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2281,5000,1.433025297585515556164637018810,0.050000000000000002775557561563,True,True
288,288_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,3918,3.646348302798517515554976853309,0.000500000000000000010408340856,True,True
289,289_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3341,4697,10.000000000000000000000000000000,0.000500000000000000010408340856,True,True
290,290_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,2.000000000000000000000000000000,5000,5000,8.557714230201312943790981080383,0.000500000000000000010408340856,False,False
291,291_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3818,5000,5.417861065391108787991925055394,0.000500000000000000010408340856,False,True
292,292_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,5000,0.001000000000000000020816681712,0.050000000000000002775557561563,True,True
293,293_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3679,5000,4.589624555070247247101633547572,0.050000000000000002775557561563,False,True
294,294_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,3498,1.827217869486397194833671164815,0.050000000000000002775557561563,False,True
295,295_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,4121,3.452447783061173947061206490616,0.050000000000000002775557561563,False,True
296,296_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,5000,3.539795134240947938053523103008,0.000500000000000000010408340856,False,True
297,136_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,5000,0.001000000000000000020816681712,0.050000000000000002775557561563,True,True
298,298_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,5000,2.522830857254109826470767075079,0.000500000000000000010408340856,True,True
299,299_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.800000000000000044408920985006,346.000000000000000000000000000000,5000,2,8.986650347707318076118099270388,0.050000000000000002775557561563,False,True
300,65_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,5000,2,10.000000000000000000000000000000,0.000500000000000000010408340856,False,True
301,301_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,56.000000000000000000000000000000,1,2,10.000000000000000000000000000000,0.000500000000000000010408340856,False,False
302,302_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,59.000000000000000000000000000000,5000,2,7.029699422767072825024570192909,0.000500000000000000010408340856,False,False
303,303_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,2.000000000000000000000000000000,5000,720,4.833097801869054244150447630091,0.000500000000000000010408340856,False,False
304,304_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,2.000000000000000000000000000000,5000,4437,10.000000000000000000000000000000,0.000500000000000000010408340856,False,False
305,305_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,4604,2363,9.337067401609722594457707600668,0.000500000000000000010408340856,True,False
306,306_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,1,2,7.292142530885669771123502869159,0.000500000000000000010408340856,True,False
307,55_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,1,2,0.001000000000000000020816681712,0.000500000000000000010408340856,True,True
308,308_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.780000000000000026645352591004,367.000000000000000000000000000000,5000,2,6.963711114794389089865944697522,0.015383789897019479672723996089,False,True
309,309_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,2.000000000000000000000000000000,1,4729,10.000000000000000000000000000000,0.050000000000000002775557561563,False,False
310,310_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,57.000000000000000000000000000000,1,2,5.445524762218558301185566961067,0.000500000000000000010408340856,False,False
311,311_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,2.000000000000000000000000000000,1,5000,10.000000000000000000000000000000,0.050000000000000002775557561563,False,False
312,312_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,1,2,10.000000000000000000000000000000,0.050000000000000002775557561563,True,False
313,313_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,179.000000000000000000000000000000,1,5000,10.000000000000000000000000000000,0.000500000000000000010408340856,True,False
314,314_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.719999999999999973354647408996,2.000000000000000000000000000000,1,678,4.321277232785085686828097095713,0.050000000000000002775557561563,False,False
315,315_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,182.000000000000000000000000000000,5000,5000,10.000000000000000000000000000000,0.000500000000000000010408340856,True,False
316,316_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,5000,1805,8.318103487343007529375427111518,0.050000000000000002775557561563,True,False
317,317_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,51.000000000000000000000000000000,1,2,10.000000000000000000000000000000,0.050000000000000002775557561563,False,False
318,318_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,221.000000000000000000000000000000,5000,4397,10.000000000000000000000000000000,0.000500000000000000010408340856,True,False
319,319_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.729999999999999982236431605997,2.000000000000000000000000000000,5000,956,2.552418848274489171501500095474,0.050000000000000002775557561563,False,False
320,320_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,2.000000000000000000000000000000,1,4323,10.000000000000000000000000000000,0.000500000000000000010408340856,False,False
321,321_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,5000,2,6.774667642849317772402173432056,0.000500000000000000010408340856,True,False
322,322_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,5000,5000,6.696855699578216025713572889799,0.050000000000000002775557561563,False,True
323,323_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,54.000000000000000000000000000000,5000,2,10.000000000000000000000000000000,0.000500000000000000010408340856,False,False
324,324_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,2.000000000000000000000000000000,5000,2012,6.742885823629273467361144867027,0.000500000000000000010408340856,False,False
325,325_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,5000,2,6.052360073291786157767546683317,0.000500000000000000010408340856,False,True
326,99_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,1,2,10.000000000000000000000000000000,0.000500000000000000010408340856,True,False
327,327_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.810000000000000053290705182008,339.000000000000000000000000000000,5000,2,0.001000000000000000020816681712,0.050000000000000002775557561563,False,True
328,328_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,229.000000000000000000000000000000,5000,3165,7.309657568886343881331413285807,0.050000000000000002775557561563,True,False
329,329_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,5000,5000,10.000000000000000000000000000000,0.000500000000000000010408340856,True,True
330,330_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,2.000000000000000000000000000000,5000,2016,6.427983427192633492097684211330,0.050000000000000002775557561563,False,False
331,331_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.810000000000000053290705182008,360.000000000000000000000000000000,5000,2,3.850917158348565294545551296324,0.050000000000000002775557561563,False,True
332,332_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,5000,696,10.000000000000000000000000000000,0.050000000000000002775557561563,True,False
333,58_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,1,2,0.001000000000000000020816681712,0.000500000000000000010408340856,False,True
334,334_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,5000,773,4.688286154999128818587905698223,0.050000000000000002775557561563,True,False
335,335_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,239.000000000000000000000000000000,1,4535,9.710247225795802350489793752786,0.050000000000000002775557561563,True,False
336,336_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,2.000000000000000000000000000000,1,4231,8.693076669499086861492287425790,0.050000000000000002775557561563,False,False
337,337_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.770000000000000017763568394003,417.000000000000000000000000000000,5000,2,0.001000000000000000020816681712,0.011584519842916432552648586807,True,True
338,61_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,1,2,10.000000000000000000000000000000,0.000500000000000000010408340856,False,True
339,339_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.719999999999999973354647408996,2.000000000000000000000000000000,5000,289,6.452134371867654927257262897911,0.000500000000000000010408340856,False,False
340,340_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,2.000000000000000000000000000000,1,1016,10.000000000000000000000000000000,0.050000000000000002775557561563,False,False
341,341_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.790000000000000035527136788005,331.000000000000000000000000000000,5000,2,10.000000000000000000000000000000,0.023223890415132387304852912280,False,True
342,342_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.790000000000000035527136788005,351.000000000000000000000000000000,5000,2,0.001000000000000000020816681712,0.034480974559498861475859143866,True,True
343,343_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,2.000000000000000000000000000000,1,5000,7.330344314372518432776359986747,0.050000000000000002775557561563,False,False
344,344_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,2.000000000000000000000000000000,5000,3145,10.000000000000000000000000000000,0.000500000000000000010408340856,False,False
345,345_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,309.000000000000000000000000000000,1,2716,7.089080000904375289394465653459,0.000500000000000000010408340856,True,False
346,346_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,2.000000000000000000000000000000,5000,956,5.452785712324683231599919963628,0.000500000000000000010408340856,False,False
347,347_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,40.000000000000000000000000000000,5000,2,2.747528283395231252228541052318,0.000500000000000000010408340856,False,False
348,348_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,2025,10.000000000000000000000000000000,0.000500000000000000010408340856,True,False
349,349_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,2033,7.604993003895677006198638991918,0.000500000000000000010408340856,True,False
350,350_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.719999999999999973354647408996,2.000000000000000000000000000000,1,1057,3.472492782153521417853880848270,0.050000000000000002775557561563,False,False
351,351_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,2.000000000000000000000000000000,1,4334,6.869318888544957424358017306076,0.000500000000000000010408340856,False,False
352,352_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.810000000000000053290705182008,451.000000000000000000000000000000,5000,2,1.638914747805892080378953323816,0.050000000000000002775557561563,True,True
353,353_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,593.000000000000000000000000000000,5000,1724,10.000000000000000000000000000000,0.000500000000000000010408340856,True,False
354,354_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.729999999999999982236431605997,2.000000000000000000000000000000,5000,1248,3.190031190291562346317277842900,0.050000000000000002775557561563,False,False
355,355_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,2.000000000000000000000000000000,1,5000,7.099052190753146085455682623433,0.000500000000000000010408340856,False,False
356,356_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,4788,2448,7.836264416009083078051844495349,0.050000000000000002775557561563,True,False
357,357_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.790000000000000035527136788005,393.000000000000000000000000000000,5000,2,0.001000000000000000020816681712,0.025277187263595738558885628322,False,True
358,358_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,1,1247,10.000000000000000000000000000000,0.000500000000000000010408340856,True,False
359,359_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,1,5000,7.544575426125217809669720736565,0.000500000000000000010408340856,True,True
360,360_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,228.000000000000000000000000000000,1,5000,10.000000000000000000000000000000,0.050000000000000002775557561563,True,False
361,361_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,2.000000000000000000000000000000,1,4567,7.763618622409990344124253169866,0.000500000000000000010408340856,False,False
362,362_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,5000,2,10.000000000000000000000000000000,0.050000000000000002775557561563,True,False
363,363_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,2.000000000000000000000000000000,5000,4286,6.027304288498832818277151091024,0.050000000000000002775557561563,False,False
364,364_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,2.000000000000000000000000000000,5000,2522,7.260912792661947001704447757220,0.000500000000000000010408340856,False,False
365,365_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.719999999999999973354647408996,2.000000000000000000000000000000,1,678,3.463783245207884498029216047144,0.000500000000000000010408340856,False,False
366,366_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.790000000000000035527136788005,350.000000000000000000000000000000,5000,2,8.585545833600642495753163530026,0.024164089265686774371522105298,True,True
367,367_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,5000,1407,10.000000000000000000000000000000,0.050000000000000002775557561563,True,False
368,368_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,5000,1253,3.965959229835780863737682011561,0.050000000000000002775557561563,True,False
369,369_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,1,4664,10.000000000000000000000000000000,0.000500000000000000010408340856,True,True
370,370_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,5000,1140,4.333781410279347490188683877932,0.000500000000000000010408340856,True,False
371,371_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,5000,2,4.925180991617915005065242439741,0.050000000000000002775557561563,True,False
372,372_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,1,5000,3.530486826635440777977237303276,0.050000000000000002775557561563,True,True
373,373_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.810000000000000053290705182008,357.000000000000000000000000000000,5000,2,10.000000000000000000000000000000,0.050000000000000002775557561563,True,True
374,374_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.719999999999999973354647408996,2.000000000000000000000000000000,5000,659,3.608526146551921165439580363454,0.050000000000000002775557561563,False,False
375,375_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,1,5000,10.000000000000000000000000000000,0.036427104317820271917049979038,False,True
376,376_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,2.000000000000000000000000000000,5000,5000,4.769240470849128499253311019856,0.050000000000000002775557561563,False,False
377,377_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,2.000000000000000000000000000000,5000,1170,3.921410939611839285845462654834,0.000500000000000000010408340856,False,False
378,378_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,190.000000000000000000000000000000,1,5000,6.418302863645990008478747768095,0.000500000000000000010408340856,True,False
379,379_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,2.000000000000000000000000000000,5000,5000,6.171382033246456622066489217104,0.000500000000000000010408340856,False,False
380,380_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,1109,4897,0.001000000000000000020816681712,0.000500000000000000010408340856,True,True
381,381_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.630000000000000004440892098501,5.000000000000000000000000000000,1,4602,0.001000000000000000020816681712,0.000500000000000000010408340856,False,False
382,382_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,2.000000000000000000000000000000,4788,2448,7.318759131366727288536822015885,0.050000000000000002775557561563,False,False
383,383_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,2.000000000000000000000000000000,1455,3774,6.674880246592506338743078231346,0.050000000000000002775557561563,False,False
384,384_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,1,1994,10.000000000000000000000000000000,0.000500000000000000010408340856,True,False
385,136_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,1,5000,0.001000000000000000020816681712,0.050000000000000002775557561563,True,True
386,386_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,5000,5000,0.001000000000000000020816681712,0.050000000000000002775557561563,False,True
387,387_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,838,342,10.000000000000000000000000000000,0.000500000000000000010408340856,True,False
388,388_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,5000,1021,10.000000000000000000000000000000,0.000500000000000000010408340856,True,False
389,389_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.670000000000000039968028886506,181.000000000000000000000000000000,1,700,3.374893466047569567933805956272,0.000500000000000000010408340856,True,False
390,390_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,354.000000000000000000000000000000,5000,3093,9.902746369758919087189497076906,0.000500000000000000010408340856,True,False
391,391_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,5000,5000,0.001000000000000000020816681712,0.000500000000000000010408340856,True,True
392,392_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,5000,5000,0.136982537543887339381853962550,0.000500000000000000010408340856,False,True
393,393_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,2.000000000000000000000000000000,5000,4460,6.990708068437028188668591610622,0.000500000000000000010408340856,False,False
394,394_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,266,10.000000000000000000000000000000,0.050000000000000002775557561563,True,False
395,395_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.800000000000000044408920985006,446.000000000000000000000000000000,5000,2,0.013791231249155173205211966092,0.041876901686361232834965306893,True,True
396,396_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,2.000000000000000000000000000000,1,1906,5.568588287670877434720750898123,0.050000000000000002775557561563,False,False
397,397_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,2028,6.596255701578448871202908776468,0.000500000000000000010408340856,True,False
398,398_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.800000000000000044408920985006,365.000000000000000000000000000000,5000,2,4.697466316929229890320129925385,0.050000000000000002775557561563,True,True
399,399_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,238,4.997634463280057559586566640064,0.000500000000000000010408340856,True,False
400,400_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.700000000000000066613381477509,3.000000000000000000000000000000,1,573,0.001000000000000000020816681712,0.050000000000000002775557561563,False,False
401,401_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,48.000000000000000000000000000000,5000,2,0.001000000000000000020816681712,0.050000000000000002775557561563,False,False
402,402_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,62.000000000000000000000000000000,1,2,0.001000000000000000020816681712,0.000500000000000000010408340856,False,False
403,403_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.670000000000000039968028886506,53.000000000000000000000000000000,1,5000,0.092667019763937305554257761742,0.050000000000000002775557561563,True,False
404,404_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.780000000000000026645352591004,409.000000000000000000000000000000,5000,2,10.000000000000000000000000000000,0.016505009635128655570701639022,True,True
405,405_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,2.000000000000000000000000000000,1,435,10.000000000000000000000000000000,0.050000000000000002775557561563,False,False
406,406_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.719999999999999973354647408996,3.000000000000000000000000000000,5000,631,0.058664627969195144718828061059,0.050000000000000002775557561563,False,False
407,407_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.719999999999999973354647408996,2.000000000000000000000000000000,1,849,1.587881157694245981559788560844,0.050000000000000002775557561563,False,False
408,408_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,3.000000000000000000000000000000,5000,1051,0.001000000000000000020816681712,0.050000000000000002775557561563,False,False
409,409_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,217.000000000000000000000000000000,1,5000,4.886767505698164981708941922989,0.050000000000000002775557561563,True,False
410,410_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.690000000000000057731597280508,4.000000000000000000000000000000,5000,3809,0.001000000000000000020816681712,0.050000000000000002775557561563,False,False
411,411_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,281,2212,6.303214715674190671279575326480,0.000500000000000000010408340856,True,False
412,412_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,5000,2094,5.692268819570286630948885431280,0.050000000000000002775557561563,True,False
413,413_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.719999999999999973354647408996,2.000000000000000000000000000000,1,1757,2.368056610345748769219653695473,0.000500000000000000010408340856,False,False
414,414_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,3.000000000000000000000000000000,5000,197,0.001000000000000000020816681712,0.000500000000000000010408340856,False,False
415,415_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,2.000000000000000000000000000000,5000,291,10.000000000000000000000000000000,0.050000000000000002775557561563,False,False
416,416_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,5000,364,10.000000000000000000000000000000,0.000500000000000000010408340856,True,False
417,417_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,1,387,10.000000000000000000000000000000,0.050000000000000002775557561563,True,False
418,418_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,331,10.000000000000000000000000000000,0.050000000000000002775557561563,True,False
419,419_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,2.000000000000000000000000000000,1,3901,7.479824211093230701408174354583,0.000500000000000000010408340856,False,False
420,420_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,2.000000000000000000000000000000,5000,497,10.000000000000000000000000000000,0.000500000000000000010408340856,False,False
421,421_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,2.000000000000000000000000000000,5000,1247,10.000000000000000000000000000000,0.000500000000000000010408340856,False,False
422,422_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.719999999999999973354647408996,2.000000000000000000000000000000,5000,606,1.991280053726006471492837590631,0.050000000000000002775557561563,False,False
423,423_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,52.000000000000000000000000000000,1,2,1.110166396815429834532551467419,0.050000000000000002775557561563,False,False
424,424_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,5000,2.402468107221490178915246360702,0.050000000000000002775557561563,False,True
425,425_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,2.000000000000000000000000000000,1,4498,10.000000000000000000000000000000,0.050000000000000002775557561563,False,False
426,426_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.719999999999999973354647408996,2.000000000000000000000000000000,5000,844,2.873735535945093122478510849760,0.000500000000000000010408340856,False,False
427,427_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,2.000000000000000000000000000000,1,4090,4.245720877728021314112538675545,0.050000000000000002775557561563,False,False
428,428_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,2.000000000000000000000000000000,1,2716,5.734947448437780259666851634393,0.000500000000000000010408340856,False,False
429,429_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,2.000000000000000000000000000000,5000,2145,2.788486798474432148964297084603,0.050000000000000002775557561563,False,False
430,430_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,2.000000000000000000000000000000,1,2538,6.810336482610938269033340475289,0.050000000000000002775557561563,False,False
431,431_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,2,5.536776670525253685184452479007,0.050000000000000002775557561563,True,False
432,432_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.719999999999999973354647408996,2.000000000000000000000000000000,1,412,2.103320463405172091597705730237,0.000500000000000000010408340856,False,False
433,433_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,57.000000000000000000000000000000,1,2,0.001000000000000000020816681712,0.050000000000000002775557561563,False,False
434,434_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,2.000000000000000000000000000000,1,1305,10.000000000000000000000000000000,0.050000000000000002775557561563,False,False
435,435_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,2.000000000000000000000000000000,281,2212,5.621623052632318540133837814210,0.000500000000000000010408340856,False,False
436,436_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.780000000000000026645352591004,51.000000000000000000000000000000,5000,2,0.001000000000000000020816681712,0.000500000000000000010408340856,True,False
437,437_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,2.000000000000000000000000000000,5000,2720,10.000000000000000000000000000000,0.050000000000000002775557561563,False,False
438,438_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,2.000000000000000000000000000000,4895,3553,7.044447581628875632020481134532,0.050000000000000002775557561563,False,False
439,439_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,249.000000000000000000000000000000,1,3359,10.000000000000000000000000000000,0.050000000000000002775557561563,True,False
440,440_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.719999999999999973354647408996,2.000000000000000000000000000000,1,378,3.036952621748464586914906249149,0.050000000000000002775557561563,False,False
441,441_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,2.000000000000000000000000000000,1,2638,10.000000000000000000000000000000,0.000500000000000000010408340856,False,False
442,442_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,2092,6.830865330952447855850095947972,0.000500000000000000010408340856,True,False
443,443_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,2,3.242404175292314061351817144896,0.000500000000000000010408340856,True,False
444,444_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,2.000000000000000000000000000000,5000,2099,4.745464071974272002307770890184,0.000500000000000000010408340856,False,False
445,445_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,583.000000000000000000000000000000,363,1652,6.666306581631361360962273465702,0.050000000000000002775557561563,True,False
446,446_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.700000000000000066613381477509,3.000000000000000000000000000000,1,849,0.001000000000000000020816681712,0.050000000000000002775557561563,False,False
447,447_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,2.000000000000000000000000000000,1,1710,4.207943994291214018232949456433,0.050000000000000002775557561563,False,False
448,448_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,4652,10.000000000000000000000000000000,0.000500000000000000010408340856,False,True
449,449_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2314,4822,9.537006070027212345507905411068,0.000500000000000000010408340856,False,True
450,450_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.780000000000000026645352591004,48.000000000000000000000000000000,1,2,0.001000000000000000020816681712,0.000500000000000000010408340856,True,False
451,451_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.640000000000000013322676295502,15.000000000000000000000000000000,5000,121,0.001000000000000000020816681712,0.000500000000000000010408340856,True,False
452,452_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.719999999999999973354647408996,68.000000000000000000000000000000,1,2,1.666651312982146748709055827931,0.000500000000000000010408340856,True,False
453,453_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,5000,312,10.000000000000000000000000000000,0.050000000000000002775557561563,True,False
454,454_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.719999999999999973354647408996,67.000000000000000000000000000000,5000,2,1.571182112136708219907177408459,0.000500000000000000010408340856,True,False
455,455_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.700000000000000066613381477509,12.000000000000000000000000000000,5000,255,0.001000000000000000020816681712,0.000500000000000000010408340856,True,False
456,456_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,5000,2,6.839315808581213573802415339742,0.050000000000000002775557561563,True,False
457,457_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,2016,5.760043423320499123008175956784,0.000500000000000000010408340856,True,False
458,458_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,5000,10.000000000000000000000000000000,0.033057542279481336167101801493,True,True
459,459_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.780000000000000026645352591004,67.000000000000000000000000000000,1,2,0.001000000000000000020816681712,0.014588444525225134976165186629,True,False
460,460_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.650000000000000022204460492503,14.000000000000000000000000000000,1,153,0.001000000000000000020816681712,0.000500000000000000010408340856,True,False
461,461_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,57.000000000000000000000000000000,5000,4567,0.001000000000000000020816681712,0.050000000000000002775557561563,True,False
462,462_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.780000000000000026645352591004,54.000000000000000000000000000000,1,2,0.001000000000000000020816681712,0.050000000000000002775557561563,True,False
463,463_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.670000000000000039968028886506,4.000000000000000000000000000000,5000,4509,0.001000000000000000020816681712,0.050000000000000002775557561563,False,False
464,464_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.780000000000000026645352591004,48.000000000000000000000000000000,5000,2,0.001000000000000000020816681712,0.022454612823732057053094379739,True,False
465,465_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,2.000000000000000000000000000000,1,4324,2.612605271158320086044568597572,0.050000000000000002775557561563,False,False
466,466_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,2,10.000000000000000000000000000000,0.018508850284465333535521835984,True,False
467,467_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,1072,10.000000000000000000000000000000,0.050000000000000002775557561563,True,False
468,468_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,2,6.401972778140788911116487724939,0.000500000000000000010408340856,True,True
469,469_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.719999999999999973354647408996,2.000000000000000000000000000000,1,1157,3.251570012952543109463476866949,0.000500000000000000010408340856,False,False
470,470_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,2,3.825515436687054293685150696547,0.000500000000000000010408340856,True,False
471,471_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,2,3.140116699787418141909256519284,0.000500000000000000010408340856,True,False
472,472_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.700000000000000066613381477509,12.000000000000000000000000000000,1,73,0.001000000000000000020816681712,0.000500000000000000010408340856,True,False
473,473_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,2.000000000000000000000000000000,5000,4516,10.000000000000000000000000000000,0.050000000000000002775557561563,False,False
474,474_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,5000,8.137046303531148438992204319220,0.050000000000000002775557561563,False,True
475,475_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.790000000000000035527136788005,383.000000000000000000000000000000,5000,2,10.000000000000000000000000000000,0.031071696589190768433841327578,True,True
476,476_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,5000,9.845688519255851645084476331249,0.000500000000000000010408340856,False,True
477,477_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.800000000000000044408920985006,428.000000000000000000000000000000,5000,2,1.619963112125324178336427394242,0.029377337152920183355186978247,True,True
478,478_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.780000000000000026645352591004,68.000000000000000000000000000000,5000,2,0.001000000000000000020816681712,0.012092309567243400558744781392,True,False
479,479_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.780000000000000026645352591004,67.000000000000000000000000000000,2418,2,0.001000000000000000020816681712,0.000500000000000000010408340856,True,False
480,480_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.729999999999999982236431605997,2.000000000000000000000000000000,4491,1307,2.332070012272986492263271429692,0.050000000000000002775557561563,False,False
481,481_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,2.000000000000000000000000000000,5000,4719,4.471283675166565885206182429101,0.000500000000000000010408340856,False,False
482,482_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,2,6.430400016420615649792580370558,0.000500000000000000010408340856,True,True
483,483_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,2.000000000000000000000000000000,4306,3101,3.791999380237855543640534961014,0.000500000000000000010408340856,False,False
484,484_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,2.000000000000000000000000000000,1,1033,10.000000000000000000000000000000,0.000500000000000000010408340856,False,False
485,485_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,2.000000000000000000000000000000,1,5000,2.978607371763993594271369147464,0.050000000000000002775557561563,False,False
486,486_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.770000000000000017763568394003,351.000000000000000000000000000000,5000,2,10.000000000000000000000000000000,0.009111170003406242334786924175,True,True
487,487_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.750000000000000000000000000000,46.000000000000000000000000000000,1,2,0.798655652614270183953237847163,0.000500000000000000010408340856,True,False
488,488_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,3.000000000000000000000000000000,4933,4965,1.116835570245418907120438234415,0.050000000000000002775557561563,False,False
489,489_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,2.000000000000000000000000000000,4776,1759,3.923347615623524742289873756818,0.005474295916213206547595859774,False,False
490,490_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,2.000000000000000000000000000000,1,2538,4.017178255397891639688623399707,0.050000000000000002775557561563,False,False
491,491_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,199.000000000000000000000000000000,5000,4591,8.056860439182207400676816178020,0.000500000000000000010408340856,True,False
492,492_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.780000000000000026645352591004,508.000000000000000000000000000000,5000,2,0.001000000000000000020816681712,0.017040811838852028964330642680,True,True
493,493_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,170.000000000000000000000000000000,5000,5000,3.627456971873908031511746230535,0.000500000000000000010408340856,True,False
494,494_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.690000000000000057731597280508,4.000000000000000000000000000000,1324,4733,0.678027090405515786564194513630,0.050000000000000002775557561563,False,False
495,495_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.800000000000000044408920985006,343.000000000000000000000000000000,5000,2,0.001000000000000000020816681712,0.037227244056990724252464985966,False,True
496,496_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,5000,5.791410480239997049523026362294,0.050000000000000002775557561563,True,True
497,497_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,76.000000000000000000000000000000,5000,4785,0.001000000000000000020816681712,0.000500000000000000010408340856,True,False
498,498_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,2.000000000000000000000000000000,5000,1037,10.000000000000000000000000000000,0.050000000000000002775557561563,False,False
499,499_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.780000000000000026645352591004,401.000000000000000000000000000000,5000,2,0.001000000000000000020816681712,0.012733949958882027214679411031,False,True
500,500_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.670000000000000039968028886506,3.000000000000000000000000000000,5000,1951,0.174414162182926907318503140232,0.000500000000000000010408340856,False,False
501,501_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,5.000000000000000000000000000000,2607,3272,0.001000000000000000020816681712,0.000500000000000000010408340856,False,False
502,502_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.670000000000000039968028886506,4.000000000000000000000000000000,4672,3945,0.001000000000000000020816681712,0.050000000000000002775557561563,False,False
503,503_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.690000000000000057731597280508,4.000000000000000000000000000000,4041,1919,0.001000000000000000020816681712,0.050000000000000002775557561563,False,False
504,504_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,2.000000000000000000000000000000,1,4228,2.916644961482069753344603668666,0.000500000000000000010408340856,False,False
505,505_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.780000000000000026645352591004,63.000000000000000000000000000000,5000,2,0.001000000000000000020816681712,0.050000000000000002775557561563,True,False
506,506_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,2.000000000000000000000000000000,5000,1497,10.000000000000000000000000000000,0.000500000000000000010408340856,False,False
507,507_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,21.000000000000000000000000000000,5000,398,0.001000000000000000020816681712,0.000500000000000000010408340856,True,False
508,508_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.630000000000000004440892098501,3.000000000000000000000000000000,1900,1911,1.582847246594078827186535818328,0.000500000000000000010408340856,False,False
509,509_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.640000000000000013322676295502,3.000000000000000000000000000000,5000,353,0.001000000000000000020816681712,0.000500000000000000010408340856,False,False
510,510_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.729999999999999982236431605997,4.000000000000000000000000000000,4698,3235,0.001000000000000000020816681712,0.050000000000000002775557561563,False,False
511,511_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.770000000000000017763568394003,122.000000000000000000000000000000,5000,34,1.385394656710040806046890793368,0.050000000000000002775557561563,True,True
512,512_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.690000000000000057731597280508,118.000000000000000000000000000000,1,1049,1.824544618737024670451773999957,0.000500000000000000010408340856,True,False
513,513_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,4.000000000000000000000000000000,4978,2597,0.001000000000000000020816681712,0.050000000000000002775557561563,False,False
514,514_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,4.000000000000000000000000000000,750,2417,0.001000000000000000020816681712,0.000500000000000000010408340856,False,False
515,515_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,2.000000000000000000000000000000,221,1946,0.984681648529542874470621427463,0.000500000000000000010408340856,False,False
516,516_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.739999999999999991118215802999,3.000000000000000000000000000000,1,3318,0.001000000000000000020816681712,0.000500000000000000010408340856,False,False
517,517_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,4207,1138,10.000000000000000000000000000000,0.000500000000000000010408340856,True,False
518,518_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.690000000000000057731597280508,105.000000000000000000000000000000,5000,1345,2.392673922089321170147968587116,0.050000000000000002775557561563,True,False
519,519_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.739999999999999991118215802999,2.000000000000000000000000000000,1,3317,0.001000000000000000020816681712,0.050000000000000002775557561563,False,False
520,520_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.670000000000000039968028886506,102.000000000000000000000000000000,5000,989,2.003126476764109042960626538843,0.050000000000000002775557561563,True,False
521,521_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.589999999999999968913755310496,199.000000000000000000000000000000,1,408,2.687796520643213948886796060833,0.000500000000000000010408340856,True,False
522,522_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,4940,1514,3.960845557437982833448586461600,0.000500000000000000010408340856,True,False
523,523_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.690000000000000057731597280508,3.000000000000000000000000000000,1,1934,0.001000000000000000020816681712,0.050000000000000002775557561563,False,False
524,524_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.670000000000000039968028886506,49.000000000000000000000000000000,4699,3238,0.001000000000000000020816681712,0.050000000000000002775557561563,True,False
525,525_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,5000,547,10.000000000000000000000000000000,0.050000000000000002775557561563,True,False
526,526_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,5000,1511,10.000000000000000000000000000000,0.000500000000000000010408340856,True,False
527,527_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,2.000000000000000000000000000000,25,4859,3.768388286404985354494101557066,0.050000000000000002775557561563,False,False
528,528_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,2430,920,8.294635806216495765852414479014,0.050000000000000002775557561563,True,False
529,529_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.719999999999999973354647408996,4.000000000000000000000000000000,5000,3219,0.001000000000000000020816681712,0.000500000000000000010408340856,False,False
530,530_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.770000000000000017763568394003,147.000000000000000000000000000000,5000,47,4.123728046662217927575966314180,0.050000000000000002775557561563,False,True
531,531_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.739999999999999991118215802999,3.000000000000000000000000000000,5000,3340,0.001000000000000000020816681712,0.050000000000000002775557561563,False,False
532,532_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,1,458,10.000000000000000000000000000000,0.000500000000000000010408340856,True,False
533,533_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.729999999999999982236431605997,3.000000000000000000000000000000,1,3937,0.001000000000000000020816681712,0.050000000000000002775557561563,False,False
534,534_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,2.000000000000000000000000000000,361,1527,10.000000000000000000000000000000,0.050000000000000002775557561563,False,False
535,535_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,2.000000000000000000000000000000,4968,4855,2.442710922963324371437465742929,0.000500000000000000010408340856,False,False
536,536_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.690000000000000057731597280508,217.000000000000000000000000000000,5000,382,3.747505162575031967264749255264,0.000500000000000000010408340856,True,False
537,537_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,464,10.000000000000000000000000000000,0.000500000000000000010408340856,True,False
538,538_0,FAILED,BoTorch,BOTORCH_MODULAR,,,361,1485,10.000000000000000000000000000000,0.050000000000000002775557561563,True,False
539,539_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.690000000000000057731597280508,32.000000000000000000000000000000,4751,1444,0.001000000000000000020816681712,0.000500000000000000010408340856,True,False
540,540_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.719999999999999973354647408996,39.000000000000000000000000000000,5000,3348,0.001000000000000000020816681712,0.000500000000000000010408340856,True,False
541,541_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1191,973,4.225430205181976539563493133755,0.050000000000000002775557561563,True,False
542,542_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.700000000000000066613381477509,4.000000000000000000000000000000,2521,2517,0.001000000000000000020816681712,0.000500000000000000010408340856,False,False
543,543_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.719999999999999973354647408996,38.000000000000000000000000000000,1,3338,0.001000000000000000020816681712,0.050000000000000002775557561563,True,False
544,544_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,2.000000000000000000000000000000,1623,3363,4.169497860514626452754782803822,0.000500000000000000010408340856,False,False
545,545_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.690000000000000057731597280508,27.000000000000000000000000000000,5000,1977,0.001000000000000000020816681712,0.000500000000000000010408340856,True,False
546,546_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,4.000000000000000000000000000000,1,3185,0.001000000000000000020816681712,0.050000000000000002775557561563,False,False
547,547_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.700000000000000066613381477509,63.000000000000000000000000000000,1,1074,1.381073906062973755126677133376,0.050000000000000002775557561563,True,False
548,548_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,44.000000000000000000000000000000,1,3214,0.001000000000000000020816681712,0.000500000000000000010408340856,True,False
549,549_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.739999999999999991118215802999,3.000000000000000000000000000000,5000,3348,0.001000000000000000020816681712,0.000500000000000000010408340856,False,False
550,550_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.780000000000000026645352591004,48.000000000000000000000000000000,2619,2,0.001000000000000000020816681712,0.050000000000000002775557561563,True,False
551,551_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,1.000000000000000000000000000000,2208,649,10.000000000000000000000000000000,0.050000000000000002775557561563,False,False
552,552_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,3.000000000000000000000000000000,2658,765,0.001000000000000000020816681712,0.050000000000000002775557561563,False,False
553,553_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,2387,2,10.000000000000000000000000000000,0.050000000000000002775557561563,True,False
554,554_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,2616,2,4.178097633427668711192382033914,0.050000000000000002775557561563,True,False
555,555_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.800000000000000044408920985006,378.000000000000000000000000000000,2486,2,5.409299616774500663041180814616,0.050000000000000002775557561563,True,True
556,556_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,34.000000000000000000000000000000,1762,3803,0.001000000000000000020816681712,0.050000000000000002775557561563,True,False
557,557_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.690000000000000057731597280508,4.000000000000000000000000000000,2749,2182,0.001000000000000000020816681712,0.050000000000000002775557561563,False,False
558,558_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,2.000000000000000000000000000000,1,294,10.000000000000000000000000000000,0.000500000000000000010408340856,False,False
559,559_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,3.000000000000000000000000000000,2582,727,0.001000000000000000020816681712,0.000500000000000000010408340856,False,False
560,560_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.780000000000000026645352591004,47.000000000000000000000000000000,3599,2,0.001000000000000000020816681712,0.050000000000000002775557561563,True,False
561,561_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.780000000000000026645352591004,51.000000000000000000000000000000,1504,2,0.001000000000000000020816681712,0.050000000000000002775557561563,True,False
562,562_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,2.000000000000000000000000000000,3346,4792,10.000000000000000000000000000000,0.000500000000000000010408340856,False,False
563,563_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.690000000000000057731597280508,47.000000000000000000000000000000,5000,3840,0.001000000000000000020816681712,0.000500000000000000010408340856,True,False
564,564_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.719999999999999973354647408996,3.000000000000000000000000000000,2542,1473,0.001000000000000000020816681712,0.050000000000000002775557561563,False,False
565,565_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,2,5.043422535963198782837935141288,0.050000000000000002775557561563,True,False
566,566_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,2.000000000000000000000000000000,3066,1641,10.000000000000000000000000000000,0.050000000000000002775557561563,False,False
567,567_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.800000000000000044408920985006,350.000000000000000000000000000000,3327,2,3.397216596879630401417671237141,0.050000000000000002775557561563,True,True
568,568_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,2.000000000000000000000000000000,2814,4997,10.000000000000000000000000000000,0.000500000000000000010408340856,False,False
569,569_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,5.000000000000000000000000000000,2803,3330,0.001000000000000000020816681712,0.050000000000000002775557561563,False,False
570,570_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,5.000000000000000000000000000000,2888,4891,0.001000000000000000020816681712,0.050000000000000002775557561563,False,False
571,571_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.670000000000000039968028886506,5.000000000000000000000000000000,5000,5000,0.001000000000000000020816681712,0.000500000000000000010408340856,False,False
572,572_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.690000000000000057731597280508,3.000000000000000000000000000000,5000,1517,0.001000000000000000020816681712,0.050000000000000002775557561563,False,False
573,573_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3020,2,7.463278295951655927353840525029,0.050000000000000002775557561563,True,False
574,574_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,2.000000000000000000000000000000,3887,3293,8.663930646280130432046462374274,0.050000000000000002775557561563,False,False
575,575_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,2.000000000000000000000000000000,5000,2202,10.000000000000000000000000000000,0.050000000000000002775557561563,False,False
576,576_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.700000000000000066613381477509,3.000000000000000000000000000000,3073,2211,0.001000000000000000020816681712,0.000500000000000000010408340856,False,False
577,577_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,2.000000000000000000000000000000,2489,2590,10.000000000000000000000000000000,0.000500000000000000010408340856,False,False
578,578_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,2.000000000000000000000000000000,5000,4850,10.000000000000000000000000000000,0.050000000000000002775557561563,False,False
579,579_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4730,841,10.000000000000000000000000000000,0.000500000000000000010408340856,True,False
580,580_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,2.000000000000000000000000000000,418,782,10.000000000000000000000000000000,0.000500000000000000010408340856,False,False
581,581_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.670000000000000039968028886506,5.000000000000000000000000000000,1806,3945,0.001000000000000000020816681712,0.050000000000000002775557561563,False,False
582,582_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,4761,10.000000000000000000000000000000,0.050000000000000002775557561563,True,False
583,583_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,5.000000000000000000000000000000,2298,4307,0.001000000000000000020816681712,0.000500000000000000010408340856,False,False
584,584_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.619999999999999995559107901499,3.000000000000000000000000000000,1,1168,0.001000000000000000020816681712,0.050000000000000002775557561563,False,False
585,585_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,2.000000000000000000000000000000,2185,315,10.000000000000000000000000000000,0.050000000000000002775557561563,False,False
586,586_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,2.000000000000000000000000000000,2241,542,10.000000000000000000000000000000,0.000500000000000000010408340856,False,False
587,587_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,2.000000000000000000000000000000,3893,4804,10.000000000000000000000000000000,0.050000000000000002775557561563,False,False
588,588_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.739999999999999991118215802999,3.000000000000000000000000000000,2204,3354,0.001000000000000000020816681712,0.000500000000000000010408340856,False,False
589,589_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.810000000000000053290705182008,387.000000000000000000000000000000,1445,2,0.001000000000000000020816681712,0.050000000000000002775557561563,True,True
590,590_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.670000000000000039968028886506,4.000000000000000000000000000000,5000,4792,0.001000000000000000020816681712,0.050000000000000002775557561563,False,False
591,591_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.719999999999999973354647408996,4.000000000000000000000000000000,5000,2242,0.001000000000000000020816681712,0.000500000000000000010408340856,False,False
592,592_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.700000000000000066613381477509,3.000000000000000000000000000000,2664,978,0.001000000000000000020816681712,0.000500000000000000010408340856,False,False
593,593_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.650000000000000022204460492503,4.000000000000000000000000000000,2550,4988,0.001000000000000000020816681712,0.000500000000000000010408340856,False,False
594,594_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,3.000000000000000000000000000000,5000,754,0.001000000000000000020816681712,0.050000000000000002775557561563,False,False
595,595_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,5000,3862,10.000000000000000000000000000000,0.000500000000000000010408340856,True,False
596,596_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,2.000000000000000000000000000000,2125,3972,10.000000000000000000000000000000,0.000500000000000000010408340856,False,False
597,597_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2669,562,10.000000000000000000000000000000,0.000500000000000000010408340856,True,False
598,598_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2210,2,10.000000000000000000000000000000,0.000500000000000000010408340856,True,False
599,599_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.700000000000000066613381477509,65.000000000000000000000000000000,5000,2576,0.001000000000000000020816681712,0.000500000000000000010408340856,True,False
600,600_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.810000000000000053290705182008,389.000000000000000000000000000000,5000,2,5.279335309427539257853823073674,0.050000000000000002775557561563,False,True
601,601_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.650000000000000022204460492503,4.000000000000000000000000000000,2299,4226,0.195496236516752908141114630780,0.050000000000000002775557561563,False,False
602,602_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.750000000000000000000000000000,117.000000000000000000000000000000,3037,109,10.000000000000000000000000000000,0.050000000000000002775557561563,False,True
603,603_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,2.000000000000000000000000000000,2558,870,4.999946902257323522178467101185,0.050000000000000002775557561563,False,False
604,604_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.810000000000000053290705182008,343.000000000000000000000000000000,167,2,10.000000000000000000000000000000,0.050000000000000002775557561563,True,True
605,605_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3599,2,0.001000000000000000020816681712,0.000500000000000000010408340856,True,True
606,606_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.810000000000000053290705182008,348.000000000000000000000000000000,1,2,6.533963331878583247203096107114,0.050000000000000002775557561563,True,True
607,607_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,2,2.697430154417574055258910448174,0.050000000000000002775557561563,True,False
608,608_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,1.000000000000000000000000000000,4984,1582,5.874009009677370940494256501552,0.050000000000000002775557561563,False,False
609,598_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2210,2,10.000000000000000000000000000000,0.000500000000000000010408340856,True,False
610,610_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,2.000000000000000000000000000000,2476,1149,10.000000000000000000000000000000,0.000500000000000000010408340856,False,False
611,611_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.810000000000000053290705182008,360.000000000000000000000000000000,2465,2,4.992264068464747239772805187386,0.050000000000000002775557561563,False,True
612,612_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.810000000000000053290705182008,345.000000000000000000000000000000,5000,2,1.882766540200619953537852779846,0.050000000000000002775557561563,False,True
613,613_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,2,1.807130643505971967499590391526,0.050000000000000002775557561563,True,False
614,614_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,2.000000000000000000000000000000,2988,4841,4.411462254515459591175385867245,0.000500000000000000010408340856,False,False
615,615_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.780000000000000026645352591004,52.000000000000000000000000000000,3451,2,0.001000000000000000020816681712,0.000500000000000000010408340856,True,False
616,616_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2465,2,6.484413202304096124350962782046,0.050000000000000002775557561563,True,False
617,617_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,47.000000000000000000000000000000,1575,2,10.000000000000000000000000000000,0.050000000000000002775557561563,False,False
618,618_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,50.000000000000000000000000000000,2630,2,0.001000000000000000020816681712,0.050000000000000002775557561563,False,False
619,619_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,2.000000000000000000000000000000,2915,4821,5.353724348243613206932423054241,0.050000000000000002775557561563,False,False
620,620_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.780000000000000026645352591004,54.000000000000000000000000000000,1403,2,0.001000000000000000020816681712,0.000500000000000000010408340856,True,False
621,621_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.800000000000000044408920985006,460.000000000000000000000000000000,1279,2,4.989694642175130923078540945426,0.050000000000000002775557561563,False,True
622,622_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.800000000000000044408920985006,477.000000000000000000000000000000,1279,2,5.187459840254670773163070407463,0.050000000000000002775557561563,True,True
623,623_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,5000,5000,4.949560505247798225525457382901,0.050000000000000002775557561563,True,True
624,624_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,3001,2,0.001000000000000000020816681712,0.000500000000000000010408340856,True,True
625,625_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.690000000000000057731597280508,72.000000000000000000000000000000,1882,4381,0.001000000000000000020816681712,0.000500000000000000010408340856,True,False
626,626_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,1,2,4.350423918798743017077867989428,0.050000000000000002775557561563,True,False
627,627_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,2,2.260606625216623477570010436466,0.050000000000000002775557561563,True,False
628,628_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,4233,10.000000000000000000000000000000,0.000500000000000000010408340856,True,False
629,629_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,2,3.261594244767342498647622051067,0.000500000000000000010408340856,False,True
630,630_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4998,1170,10.000000000000000000000000000000,0.050000000000000002775557561563,True,False
631,631_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2531,128,10.000000000000000000000000000000,0.050000000000000002775557561563,True,False
632,632_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,163.000000000000000000000000000000,2716,4408,4.765473994359972209622355876490,0.050000000000000002775557561563,True,False
633,633_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4447,3857,10.000000000000000000000000000000,0.050000000000000002775557561563,True,False
634,634_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,2.000000000000000000000000000000,4601,2334,10.000000000000000000000000000000,0.000500000000000000010408340856,False,False
635,635_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2061,2,3.379191735863404044692970273900,0.000500000000000000010408340856,True,False
636,636_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,2,2.225732554004929308888449668302,0.050000000000000002775557561563,True,False
637,637_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,4896,10.000000000000000000000000000000,0.026866922956310230335974509330,False,True
638,638_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,2.000000000000000000000000000000,2948,1992,10.000000000000000000000000000000,0.050000000000000002775557561563,False,False
639,639_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,1618,2,4.986714774380954118271347397240,0.000500000000000000010408340856,False,True
640,640_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,2.000000000000000000000000000000,3148,437,7.476816049766068061899204622023,0.050000000000000002775557561563,False,False
641,641_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,1,4825,10.000000000000000000000000000000,0.050000000000000002775557561563,True,True
642,292_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,5000,5000,0.001000000000000000020816681712,0.050000000000000002775557561563,True,True
643,643_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,71.000000000000000000000000000000,1,4516,0.001000000000000000020816681712,0.050000000000000002775557561563,True,False
644,644_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,2476,2,8.526882248533219410546735161915,0.000500000000000000010408340856,True,False
645,645_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,2.000000000000000000000000000000,2950,4335,10.000000000000000000000000000000,0.000500000000000000010408340856,False,False
646,646_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,2,2.298194041571012924407568789320,0.050000000000000002775557561563,True,False
647,647_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,2.000000000000000000000000000000,1990,4604,10.000000000000000000000000000000,0.050000000000000002775557561563,False,False
648,648_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,2.000000000000000000000000000000,5000,3295,3.403362297923626655915541050490,0.000500000000000000010408340856,False,False
649,649_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,5000,4911,9.141096886805362586869705410209,0.032538462236284461381874422159,False,True
650,650_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3327,2,3.116840267101642858449395134812,0.000500000000000000010408340856,True,False
651,651_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4500,4676,10.000000000000000000000000000000,0.050000000000000002775557561563,True,False
652,652_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,4856,6.441338812432288563059046282433,0.050000000000000002775557561563,False,True
653,653_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,2.000000000000000000000000000000,1594,5000,6.813980632035913309607622068143,0.050000000000000002775557561563,False,False
654,654_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,2.000000000000000000000000000000,2430,1038,10.000000000000000000000000000000,0.050000000000000002775557561563,False,False
655,655_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,57.000000000000000000000000000000,3451,2,0.001000000000000000020816681712,0.000500000000000000010408340856,False,False
656,656_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,2.000000000000000000000000000000,2231,1092,6.583321917173360127151227061404,0.000500000000000000010408340856,False,False
657,657_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.760000000000000008881784197001,121.000000000000000000000000000000,5000,54,10.000000000000000000000000000000,0.050000000000000002775557561563,False,True
658,658_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.699999999999999955591079014994,9.000000000000000000000000000000,1,39,0.001000000000000000020816681712,0.050000000000000002775557561563,True,False
659,659_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,2962,2,2.316272902465311478437115511042,0.050000000000000002775557561563,True,False
660,660_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,5000,2,4.489931418772514781778681935975,0.000500000000000000010408340856,False,True
661,661_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.810000000000000053290705182008,358.000000000000000000000000000000,1,2,5.231344971968318269261999375885,0.050000000000000002775557561563,True,True
662,662_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,4815,10.000000000000000000000000000000,0.050000000000000002775557561563,False,True
663,663_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,42,0.001000000000000000020816681712,0.000500000000000000010408340856,False,True
664,664_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,2.000000000000000000000000000000,228,3781,10.000000000000000000000000000000,0.050000000000000002775557561563,False,False
665,665_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.810000000000000053290705182008,411.000000000000000000000000000000,674,2,4.549490379732313627414441725705,0.050000000000000002775557561563,False,True
666,666_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,2.000000000000000000000000000000,3428,3650,10.000000000000000000000000000000,0.050000000000000002775557561563,False,False
667,667_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3893,4804,10.000000000000000000000000000000,0.000500000000000000010408340856,False,True
668,668_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,2,4.535859901157366813606586219976,0.000500000000000000010408340856,True,True
669,669_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,5000,4855,5.097820184061936821251492801821,0.050000000000000002775557561563,True,True
670,670_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,2,2.334920274344728152726702319342,0.050000000000000002775557561563,True,False
671,671_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,2.000000000000000000000000000000,1386,4885,7.944664950970620864723059639800,0.000500000000000000010408340856,False,False
672,672_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.810000000000000053290705182008,342.000000000000000000000000000000,3598,2,4.756056389485419977347646636190,0.050000000000000002775557561563,False,True
673,673_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,4765,10.000000000000000000000000000000,0.050000000000000002775557561563,True,False
674,674_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3327,2,4.235549318459897349953280354384,0.000500000000000000010408340856,False,True
675,675_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3928,4877,8.118923589288801423435870674439,0.000500000000000000010408340856,True,True
676,676_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,36,1.114319778338616506729863431246,0.000500000000000000010408340856,False,True
677,677_0,FAILED,BoTorch,BOTORCH_MODULAR,,,355,4942,10.000000000000000000000000000000,0.050000000000000002775557561563,False,True
678,678_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1879,2,2.821502714305361259050641820068,0.000500000000000000010408340856,True,False
679,679_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,2.000000000000000000000000000000,2028,2503,10.000000000000000000000000000000,0.050000000000000002775557561563,False,False
680,680_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,4827,4.872674296665080007073811430018,0.000500000000000000010408340856,False,True
681,681_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.670000000000000039968028886506,3.000000000000000000000000000000,1661,1393,0.001000000000000000020816681712,0.000500000000000000010408340856,False,False
682,682_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,5000,846,10.000000000000000000000000000000,0.050000000000000002775557561563,True,False
683,683_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,4933,4965,4.928808850076849878973916929681,0.000500000000000000010408340856,True,True
684,684_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,3177,2,10.000000000000000000000000000000,0.000500000000000000010408340856,True,False
685,685_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,2465,2,5.129270735047709806053717329632,0.000500000000000000010408340856,True,True
686,686_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,2,3.960334169228572509524610723020,0.000500000000000000010408340856,True,True
687,687_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.719999999999999973354647408996,56.000000000000000000000000000000,5000,2,1.657334575720323721625959478843,0.050000000000000002775557561563,True,False
688,688_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,194.000000000000000000000000000000,3487,4320,10.000000000000000000000000000000,0.050000000000000002775557561563,True,False
689,689_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,44,0.001000000000000000020816681712,0.000500000000000000010408340856,False,True
690,690_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,2.000000000000000000000000000000,5000,308,10.000000000000000000000000000000,0.000500000000000000010408340856,False,False
691,691_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1174,10.000000000000000000000000000000,0.050000000000000002775557561563,True,False
692,692_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,422.000000000000000000000000000000,4887,2051,9.696017891792951814977641333826,0.000500000000000000010408340856,True,False
693,693_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,4818,10.000000000000000000000000000000,0.000500000000000000010408340856,False,True
694,694_0,FAILED,BoTorch,BOTORCH_MODULAR,,,228,3788,10.000000000000000000000000000000,0.050000000000000002775557561563,True,False
695,695_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,3.000000000000000000000000000000,2764,2365,0.001000000000000000020816681712,0.050000000000000002775557561563,False,False
696,696_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,2.000000000000000000000000000000,5000,1077,6.467454826122086330997262848541,0.050000000000000002775557561563,False,False
697,697_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,2,3.726362736254983154537967493525,0.000500000000000000010408340856,True,True
698,698_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,5000,34,0.001000000000000000020816681712,0.000500000000000000010408340856,False,True
699,699_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,242.000000000000000000000000000000,5000,4135,10.000000000000000000000000000000,0.000500000000000000010408340856,True,False
700,700_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,5000,4858,4.856491680489080309257587941829,0.050000000000000002775557561563,False,True
701,701_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2,4820,10.000000000000000000000000000000,0.000500000000000000010408340856,False,True
702,702_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,5000,5000,10.000000000000000000000000000000,0.050000000000000002775557561563,True,True
703,703_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.800000000000000044408920985006,373.000000000000000000000000000000,1,2,8.294210402646593038866740243975,0.050000000000000002775557561563,True,True
704,704_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,376,2,6.750872702483292187025654129684,0.000500000000000000010408340856,True,True
705,705_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,1,5000,1.844903480478871093950488102564,0.050000000000000002775557561563,True,True
706,706_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2323,4722,8.167362997254027590088298893534,0.050000000000000002775557561563,False,True
707,707_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.810000000000000053290705182008,325.000000000000000000000000000000,1422,2,3.323273132209934921377225691685,0.050000000000000002775557561563,False,True
708,708_0,FAILED,BoTorch,BOTORCH_MODULAR,,,191,159,10.000000000000000000000000000000,0.000500000000000000010408340856,True,False
709,709_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,2,2.344918813293545234444081870606,0.000500000000000000010408340856,False,True
710,710_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2540,2,2.080503874942235320588679314824,0.000500000000000000010408340856,True,False
711,711_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,4885,10.000000000000000000000000000000,0.047269830865894736648957774605,False,True
712,712_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,9.000000000000000000000000000000,5000,38,0.001000000000000000020816681712,0.050000000000000002775557561563,True,False
713,713_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,3132,2,5.005241870393018821516761818202,0.000500000000000000010408340856,False,True
714,714_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1691,3863,7.762048208683646421945923066232,0.050000000000000002775557561563,True,False
715,715_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,358.000000000000000000000000000000,4071,2921,10.000000000000000000000000000000,0.050000000000000002775557561563,True,False
716,716_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,2.000000000000000000000000000000,1908,3922,5.840211764283463224955994519405,0.050000000000000002775557561563,False,False
717,717_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,2,4.709997332279619364214795496082,0.000500000000000000010408340856,True,True
718,718_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,5000,4719,4.793328338590690407272632000968,0.050000000000000002775557561563,True,False
719,719_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.810000000000000053290705182008,339.000000000000000000000000000000,1575,2,10.000000000000000000000000000000,0.050000000000000002775557561563,False,True
720,720_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,2.000000000000000000000000000000,1807,601,5.475732086789452779385101166554,0.050000000000000002775557561563,False,False
721,721_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,5000,35,0.001000000000000000020816681712,0.000500000000000000010408340856,True,True
722,722_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,5000,36,10.000000000000000000000000000000,0.000500000000000000010408340856,True,True
723,723_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.770000000000000017763568394003,125.000000000000000000000000000000,5000,46,0.001000000000000000020816681712,0.050000000000000002775557561563,True,True
724,724_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,3883,10.000000000000000000000000000000,0.000500000000000000010408340856,True,False
725,725_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.760000000000000008881784197001,98.000000000000000000000000000000,5000,57,10.000000000000000000000000000000,0.050000000000000002775557561563,True,True
726,726_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,18,0.001000000000000000020816681712,0.000500000000000000010408340856,True,True
727,727_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.780000000000000026645352591004,119.000000000000000000000000000000,5000,29,9.668050312316463390516219078563,0.050000000000000002775557561563,True,True
728,728_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,237.000000000000000000000000000000,5000,4813,6.892078189866674975405658187810,0.000500000000000000010408340856,True,False
729,729_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,2.000000000000000000000000000000,5000,1458,5.804716600486595545760337699903,0.050000000000000002775557561563,False,False
730,730_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.739999999999999991118215802999,9.000000000000000000000000000000,5000,27,0.001000000000000000020816681712,0.000500000000000000010408340856,True,False
731,731_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,2.000000000000000000000000000000,4328,2945,10.000000000000000000000000000000,0.000500000000000000010408340856,False,False
732,732_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,4956,1.310885217233547672677218542958,0.050000000000000002775557561563,True,True
733,733_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.780000000000000026645352591004,96.000000000000000000000000000000,5000,17,0.001000000000000000020816681712,0.050000000000000002775557561563,True,True
734,734_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,58,10.000000000000000000000000000000,0.000500000000000000010408340856,False,True
735,735_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.739999999999999991118215802999,2.000000000000000000000000000000,14,3372,0.001000000000000000020816681712,0.050000000000000002775557561563,False,False
736,736_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.780000000000000026645352591004,102.000000000000000000000000000000,5000,30,9.154486050235586702683576731943,0.050000000000000002775557561563,False,True
737,737_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,3857,10.000000000000000000000000000000,0.050000000000000002775557561563,True,False
738,738_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.770000000000000017763568394003,86.000000000000000000000000000000,5000,28,0.001000000000000000020816681712,0.050000000000000002775557561563,False,True
739,739_0,FAILED,BoTorch,BOTORCH_MODULAR,,,27,4939,7.329081913888432886494683771161,0.000989098910624612711814385158,False,True
740,740_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,5000,4816,8.618070554047468689873312541749,0.050000000000000002775557561563,True,True
741,741_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,1,4839,0.499136652774714584257509386589,0.000500000000000000010408340856,False,True
742,742_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,5000,4836,10.000000000000000000000000000000,0.050000000000000002775557561563,False,True
743,743_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.719999999999999973354647408996,2.000000000000000000000000000000,5000,3417,0.001000000000000000020816681712,0.050000000000000002775557561563,False,False
744,744_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.689999999999999946709294817992,27.000000000000000000000000000000,4580,3455,0.001000000000000000020816681712,0.000500000000000000010408340856,True,False
745,745_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,5000,4883,5.241990359585753544990893715294,0.000500000000000000010408340856,True,True
746,746_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,2,5.502095793920227961848468112294,0.000500000000000000010408340856,False,True
747,747_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,42,9.824422549928234715821417921688,0.000500000000000000010408340856,False,True
748,748_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2625,2,2.907790866132755613904237179668,0.000500000000000000010408340856,True,False
749,749_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,2,4.427529882738445721201969718095,0.000500000000000000010408340856,True,True
750,750_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,4708,10.000000000000000000000000000000,0.050000000000000002775557561563,False,True
751,751_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.810000000000000053290705182008,352.000000000000000000000000000000,1642,2,6.203379767889250828716285468545,0.050000000000000002775557561563,False,True
752,752_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.770000000000000017763568394003,100.000000000000000000000000000000,5000,59,0.001000000000000000020816681712,0.050000000000000002775557561563,False,True
753,753_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4825,1217,9.757339955712819090649645659141,0.050000000000000002775557561563,True,False
754,754_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,31,4.526816342720613839389898203081,0.000500000000000000010408340856,False,True
755,755_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,43,10.000000000000000000000000000000,0.000500000000000000010408340856,False,True
756,756_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,4827,10.000000000000000000000000000000,0.000500000000000000010408340856,False,True
757,757_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,4858,9.624481323988218761655843991321,0.000500000000000000010408340856,True,True
758,758_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,1,2,2.879349617416964157712300220737,0.000500000000000000010408340856,True,True
759,759_0,FAILED,BoTorch,BOTORCH_MODULAR,,,35,2,5.436695279408298553391887253383,0.000500000000000000010408340856,False,True
760,760_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,1,4889,0.001000000000000000020816681712,0.000500000000000000010408340856,True,True
761,761_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,5000,1187,9.406725594869664419661603460554,0.050000000000000002775557561563,True,False
762,762_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.800000000000000044408920985006,380.000000000000000000000000000000,1,2,6.196127419151229887006593344267,0.050000000000000002775557561563,False,True
763,763_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,5000,2,1.997280448721582724047607371176,0.000500000000000000010408340856,False,True
764,764_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,5000,25,0.921201556469602444998656665121,0.000500000000000000010408340856,True,True
765,765_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,5000,4789,0.001000000000000000020816681712,0.000500000000000000010408340856,True,True
766,766_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,2,5.759594379966784138957791583380,0.000500000000000000010408340856,False,True
767,767_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,3832,10.000000000000000000000000000000,0.000500000000000000010408340856,True,False
768,768_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.719999999999999973354647408996,3.000000000000000000000000000000,5000,3440,0.001000000000000000020816681712,0.000500000000000000010408340856,False,False
769,769_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,2.000000000000000000000000000000,1,3284,3.284477485373245464472802268574,0.050000000000000002775557561563,False,False
770,770_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4054,4823,3.320325342103906063329077369417,0.000500000000000000010408340856,True,True
771,771_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,4812,10.000000000000000000000000000000,0.000500000000000000010408340856,False,True
772,772_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,2.000000000000000000000000000000,1,4134,10.000000000000000000000000000000,0.000500000000000000010408340856,False,False
773,773_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.770000000000000017763568394003,88.000000000000000000000000000000,5000,33,0.001000000000000000020816681712,0.050000000000000002775557561563,True,True
774,774_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.810000000000000053290705182008,372.000000000000000000000000000000,3598,2,4.967522476097543382422827562550,0.050000000000000002775557561563,True,True
775,775_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,1301,10.000000000000000000000000000000,0.050000000000000002775557561563,True,False
776,776_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,2.000000000000000000000000000000,5000,4909,7.697762456730319335918011347530,0.000500000000000000010408340856,False,False
777,777_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,2.000000000000000000000000000000,5000,260,7.704729606601353530948017578339,0.050000000000000002775557561563,False,False
778,778_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,4878,10.000000000000000000000000000000,0.050000000000000002775557561563,False,True
779,779_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.739999999999999991118215802999,13.000000000000000000000000000000,5000,21,0.001000000000000000020816681712,0.050000000000000002775557561563,True,False
780,780_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,5000,53,0.001000000000000000020816681712,0.000500000000000000010408340856,True,True
781,781_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,1,4652,10.000000000000000000000000000000,0.000500000000000000010408340856,False,True
782,782_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.670000000000000039968028886506,4.000000000000000000000000000000,5000,2158,0.001000000000000000020816681712,0.050000000000000002775557561563,False,False
783,783_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,3898,7.870750848634984642160361545393,0.050000000000000002775557561563,True,False
784,784_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,2.000000000000000000000000000000,1,1780,7.656290575813416765527108509559,0.050000000000000002775557561563,False,False
785,785_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,1,3830,10.000000000000000000000000000000,0.050000000000000002775557561563,True,False
786,786_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,2,1.814226063113629772161061737279,0.050000000000000002775557561563,True,False
787,787_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,4556,10.000000000000000000000000000000,0.000500000000000000010408340856,True,True
788,788_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.780000000000000026645352591004,113.000000000000000000000000000000,5000,24,4.762494796736499225175975880120,0.050000000000000002775557561563,True,True
789,789_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,89,7.584156282529596282415695895907,0.000500000000000000010408340856,False,True
790,790_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,3849,6.349703956642199997872921812814,0.000500000000000000010408340856,True,False
791,791_0,FAILED,BoTorch,BOTORCH_MODULAR,,,490,2,3.222012951060050589546790433815,0.000500000000000000010408340856,False,True
792,792_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,4889,10.000000000000000000000000000000,0.050000000000000002775557561563,True,True
793,793_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,1862,7.137539028523809392368093540426,0.000500000000000000010408340856,True,False
794,794_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,28,5.774693964422498382305093400646,0.000500000000000000010408340856,True,True
795,795_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,2.000000000000000000000000000000,5000,837,6.535814257592504894489593425533,0.050000000000000002775557561563,False,False
796,796_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,2,1.711255056534184859629021957517,0.050000000000000002775557561563,True,False
797,797_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.739999999999999991118215802999,2.000000000000000000000000000000,1,3365,0.001000000000000000020816681712,0.000500000000000000010408340856,False,False
798,798_0,FAILED,BoTorch,BOTORCH_MODULAR,,,346,1259,7.297645210678894933664651034633,0.000500000000000000010408340856,True,False
799,799_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,1122,4840,3.910069322583877848842348612379,0.050000000000000002775557561563,True,True
800,800_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.660000000000000031086244689504,4.000000000000000000000000000000,1,4823,0.471678610792051478117770102472,0.000500000000000000010408340856,False,False
801,801_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,2313,4741,7.094291128531100554255317547359,0.000500000000000000010408340856,False,True
802,802_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,5000,4602,0.046742889241485265083841937894,0.050000000000000002775557561563,True,True
803,803_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,51.000000000000000000000000000000,5000,2,0.001000000000000000020816681712,0.000500000000000000010408340856,False,False
804,804_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,5000,4893,7.566767189352460398765742866090,0.000500000000000000010408340856,False,True
805,805_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,1,2,2.091702177980895083209134099889,0.050000000000000002775557561563,True,False
806,806_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,66,5.816651418932364592251360591035,0.000500000000000000010408340856,False,True
807,807_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1324,4726,1.973331014344053224718322780973,0.015325964252970298434819440558,True,True
808,808_0,FAILED,BoTorch,BOTORCH_MODULAR,,,706,4685,0.001000000000000000020816681712,0.050000000000000002775557561563,True,True
809,809_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.760000000000000008881784197001,140.000000000000000000000000000000,5000,64,5.821018871895615731659745506477,0.050000000000000002775557561563,True,True
810,810_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,4890,5.315490734028217367779234336922,0.000500000000000000010408340856,False,True
811,811_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,2.000000000000000000000000000000,1207,3487,10.000000000000000000000000000000,0.000500000000000000010408340856,False,False
812,812_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1385,4853,7.574717291007852182360693404917,0.000500000000000000010408340856,False,True
813,813_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.810000000000000053290705182008,354.000000000000000000000000000000,4298,2,4.133795292862948222989416535711,0.050000000000000002775557561563,True,True
814,814_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,2,4.990977955919761122061117930571,0.000500000000000000010408340856,False,True
815,815_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,47,5.990050146333828706701751798391,0.000500000000000000010408340856,False,True
816,816_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,85,5.753604238249176106023696775082,0.000500000000000000010408340856,False,True
817,817_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,4801,5.946989816060565203770238440484,0.050000000000000002775557561563,False,True
818,818_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,4920,4.623904254440273753345991281094,0.000500000000000000010408340856,False,True
819,819_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,2.000000000000000000000000000000,1,3864,10.000000000000000000000000000000,0.000500000000000000010408340856,False,False
820,820_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,1,4538,4.946944116654480083639100485016,0.050000000000000002775557561563,True,True
821,821_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,5000,4775,4.081765909381803503208629990695,0.000500000000000000010408340856,False,True
822,822_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,746,4947,6.277988534384519425657344982028,0.050000000000000002775557561563,True,True
823,823_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,271.000000000000000000000000000000,1,4066,10.000000000000000000000000000000,0.050000000000000002775557561563,True,False
824,824_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,2.000000000000000000000000000000,5000,205,10.000000000000000000000000000000,0.000500000000000000010408340856,False,False
825,825_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.810000000000000053290705182008,342.000000000000000000000000000000,1551,2,3.519103211794861518768584573991,0.050000000000000002775557561563,True,True
826,826_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,4730,10.000000000000000000000000000000,0.050000000000000002775557561563,False,True
827,827_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,29,6.506031841767384804597895708866,0.000500000000000000010408340856,True,True
828,828_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.810000000000000053290705182008,323.000000000000000000000000000000,4298,2,5.442991935734683650593979109544,0.050000000000000002775557561563,False,True
829,829_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,2,5.121320158497462138313949253643,0.000500000000000000010408340856,False,True
830,830_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,2.000000000000000000000000000000,5000,1248,6.545306227731995996066416410031,0.050000000000000002775557561563,False,False
831,831_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,1.000000000000000000000000000000,4734,1257,6.265521021634200771188716316829,0.000500000000000000010408340856,False,False
832,832_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,2.000000000000000000000000000000,5000,2488,10.000000000000000000000000000000,0.050000000000000002775557561563,False,False
833,833_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,4608,10.000000000000000000000000000000,0.024861858743088712658808603351,True,True
834,834_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,4607,10.000000000000000000000000000000,0.050000000000000002775557561563,False,True
835,835_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,2.000000000000000000000000000000,502,2922,10.000000000000000000000000000000,0.050000000000000002775557561563,False,False
836,836_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,2,3.090604237553022937134983294527,0.000500000000000000010408340856,True,False
837,837_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,65,8.005184675448623110582957451697,0.000500000000000000010408340856,False,True
838,838_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,12,0.001000000000000000020816681712,0.000500000000000000010408340856,True,True
839,839_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,5000,21,8.330576892168412683759015635587,0.000500000000000000010408340856,True,True
840,840_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.770000000000000017763568394003,102.000000000000000000000000000000,5000,42,5.408510044850757481071923393756,0.050000000000000002775557561563,True,True
841,841_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,1,2,5.781833169276787920409788057441,0.000500000000000000010408340856,False,True
842,842_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.770000000000000017763568394003,100.000000000000000000000000000000,5000,27,4.765355452681514947244068025611,0.050000000000000002775557561563,False,True
843,843_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,1,4482,0.029252386854730444420980006726,0.000500000000000000010408340856,True,True
844,844_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,5000,57,9.014270525224977959055649989750,0.000500000000000000010408340856,False,True
845,845_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,5000,4858,9.334828944789986593377761892043,0.000500000000000000010408340856,True,True
846,846_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4517,4903,0.001000000000000000020816681712,0.050000000000000002775557561563,True,True
847,847_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.739999999999999991118215802999,3.000000000000000000000000000000,3077,3317,0.001000000000000000020816681712,0.000500000000000000010408340856,False,False
848,848_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.719999999999999973354647408996,3.000000000000000000000000000000,5000,3299,0.001000000000000000020816681712,0.000500000000000000010408340856,False,False
849,849_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,4530,1.797815243658009487504045864625,0.000500000000000000010408340856,False,True
850,850_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1420,4747,10.000000000000000000000000000000,0.000500000000000000010408340856,True,True
851,851_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4739,4569,1.997911876422337140724039272754,0.000500000000000000010408340856,True,True
852,852_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.780000000000000026645352591004,90.000000000000000000000000000000,5000,24,0.001000000000000000020816681712,0.050000000000000002775557561563,True,True
853,853_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,4924,7.548373579886968443020123231690,0.050000000000000002775557561563,True,True
854,854_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,4732,10.000000000000000000000000000000,0.050000000000000002775557561563,False,True
855,855_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,341.000000000000000000000000000000,4781,2395,10.000000000000000000000000000000,0.050000000000000002775557561563,True,False
856,856_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1827,2,2.021522856122377476140172802843,0.000500000000000000010408340856,True,False
857,857_0,FAILED,BoTorch,BOTORCH_MODULAR,,,276,4656,0.001000000000000000020816681712,0.050000000000000002775557561563,True,True
858,858_0,FAILED,BoTorch,BOTORCH_MODULAR,,,21,4876,1.746189864058002472191333254159,0.000500000000000000010408340856,False,True
859,859_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4699,3890,4.418192491967233515026691748062,0.000500000000000000010408340856,True,False
860,860_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,1,4825,10.000000000000000000000000000000,0.000500000000000000010408340856,False,True
861,861_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.800000000000000044408920985006,407.000000000000000000000000000000,674,2,3.099861704305399978665036542225,0.050000000000000002775557561563,True,True
862,862_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,1932,2,2.146855745088246170126922152122,0.000500000000000000010408340856,True,False
863,863_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,5000,4725,6.715303229658059258611046971055,0.000500000000000000010408340856,True,True
864,864_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,1,4824,8.066548935699426436940484563820,0.050000000000000002775557561563,False,True
865,865_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,5000,4882,0.001000000000000000020816681712,0.050000000000000002775557561563,True,True
866,866_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,1,1105,10.000000000000000000000000000000,0.050000000000000002775557561563,True,False
867,867_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,4073,2,5.572964134800972857419765205123,0.000500000000000000010408340856,False,True
868,868_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.810000000000000053290705182008,328.000000000000000000000000000000,824,2,6.014842820408551560262822022196,0.050000000000000002775557561563,False,True
869,869_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,4736,4.380839450718204020063240022864,0.000500000000000000010408340856,False,True
870,870_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,13,0.001000000000000000020816681712,0.000500000000000000010408340856,True,True
871,871_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.800000000000000044408920985006,159.000000000000000000000000000000,5000,9,0.001000000000000000020816681712,0.050000000000000002775557561563,True,True
872,872_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1964,1196,9.216891374647609325165831251070,0.050000000000000002775557561563,True,False
873,873_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,2,2.921775191354225587048176748795,0.000500000000000000010408340856,False,True
874,874_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,2.000000000000000000000000000000,4686,1674,6.095120133020592412265159509843,0.050000000000000002775557561563,False,False
875,875_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,2.000000000000000000000000000000,2429,931,3.929195453866202836223919803160,0.000500000000000000010408340856,False,False
876,876_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,3833,7.134271746720392215479478181805,0.000500000000000000010408340856,True,False
877,877_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,2.000000000000000000000000000000,4990,1983,10.000000000000000000000000000000,0.000500000000000000010408340856,False,False
878,878_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2715,4393,7.432649635342031047002819832414,0.000500000000000000010408340856,True,True
879,879_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.739999999999999991118215802999,10.000000000000000000000000000000,1,23,0.001000000000000000020816681712,0.000500000000000000010408340856,True,False
880,880_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.770000000000000017763568394003,84.000000000000000000000000000000,5000,39,0.001000000000000000020816681712,0.050000000000000002775557561563,True,True
881,838_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,12,0.001000000000000000020816681712,0.000500000000000000010408340856,True,True
882,882_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,741,4947,4.813049058413558789482067368226,0.008453366362106301892809234744,False,True
883,883_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,5000,5000,8.399578011100976127067951892968,0.050000000000000002775557561563,False,True
884,884_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,5000,17,0.001000000000000000020816681712,0.000500000000000000010408340856,False,True
885,885_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.739999999999999991118215802999,2.000000000000000000000000000000,1,3342,0.001000000000000000020816681712,0.000500000000000000010408340856,False,False
886,886_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,5000,4.481270341239706134217612998327,0.000500000000000000010408340856,False,True
887,887_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,2.000000000000000000000000000000,5000,4888,6.678391580713689101855834451271,0.050000000000000002775557561563,False,False
888,888_0,FAILED,BoTorch,BOTORCH_MODULAR,,,503,4784,8.674468973405298655166006938089,0.000500000000000000010408340856,True,True
889,889_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,4.000000000000000000000000000000,5000,3856,0.001000000000000000020816681712,0.000500000000000000010408340856,False,False
890,890_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1324,4728,0.001000000000000000020816681712,0.050000000000000002775557561563,True,True
891,891_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,824,9.824975539301995297591929556802,0.000500000000000000010408340856,True,False
892,892_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.719999999999999973354647408996,4.000000000000000000000000000000,4584,3074,0.001000000000000000020816681712,0.050000000000000002775557561563,False,False
893,893_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,20.000000000000000000000000000000,1,651,0.001000000000000000020816681712,0.050000000000000002775557561563,True,False
894,894_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,4875,7.176395739246752114581795467529,0.050000000000000002775557561563,True,True
895,895_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1334,3856,7.418823209622250836048351629870,0.050000000000000002775557561563,True,False
896,896_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.719999999999999973354647408996,2.000000000000000000000000000000,835,287,5.486217262525320492727587406989,0.000500000000000000010408340856,False,False
897,897_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,4823,10.000000000000000000000000000000,0.050000000000000002775557561563,True,True
898,898_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.699999999999999955591079014994,4.000000000000000000000000000000,1,626,0.001000000000000000020816681712,0.000500000000000000010408340856,False,False
899,899_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.670000000000000039968028886506,3.000000000000000000000000000000,5000,589,0.001000000000000000020816681712,0.000500000000000000010408340856,False,False
900,900_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,2.000000000000000000000000000000,1,4631,10.000000000000000000000000000000,0.000500000000000000010408340856,False,False
901,901_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,4830,7.106985416308607028668120619841,0.000500000000000000010408340856,False,True
902,902_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,2.000000000000000000000000000000,1,4804,6.804503548518268551958954049041,0.000500000000000000010408340856,False,False
903,903_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,1,1172,10.000000000000000000000000000000,0.000500000000000000010408340856,True,False
904,904_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.810000000000000053290705182008,403.000000000000000000000000000000,5000,2,2.946294890908275565521989847184,0.050000000000000002775557561563,False,True
905,905_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,1,3875,6.497443963465569183313164103311,0.000500000000000000010408340856,True,False
906,906_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,2.000000000000000000000000000000,4974,4796,2.922842665462814792931567353662,0.050000000000000002775557561563,False,False
907,907_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,4825,10.000000000000000000000000000000,0.000500000000000000010408340856,True,True
908,908_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.699999999999999955591079014994,20.000000000000000000000000000000,5000,721,0.001000000000000000020816681712,0.050000000000000002775557561563,True,False
909,909_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2313,4743,7.070396292598764453884996328270,0.050000000000000002775557561563,True,True
910,910_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.630000000000000004440892098501,4.000000000000000000000000000000,1,4348,0.001000000000000000020816681712,0.000500000000000000010408340856,False,False
911,911_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,3838,10.000000000000000000000000000000,0.050000000000000002775557561563,True,False
912,912_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,2.000000000000000000000000000000,1,1222,6.522511206829821439612260292051,0.000500000000000000010408340856,False,False
913,913_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,3854,7.111003695945506741793451510603,0.050000000000000002775557561563,True,False
914,914_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.640000000000000013322676295502,4.000000000000000000000000000000,1,3841,0.001000000000000000020816681712,0.000500000000000000010408340856,False,False
915,915_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,4949,1.510280792419289586092645549797,0.050000000000000002775557561563,True,True
916,916_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,2.000000000000000000000000000000,5000,1382,10.000000000000000000000000000000,0.050000000000000002775557561563,False,False
917,917_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,4792,0.001000000000000000020816681712,0.050000000000000002775557561563,True,True
918,918_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,215,10.000000000000000000000000000000,0.050000000000000002775557561563,True,False
919,919_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,232.000000000000000000000000000000,1,3912,10.000000000000000000000000000000,0.050000000000000002775557561563,True,False
920,920_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,872,5.631418559554483671547586709494,0.000500000000000000010408340856,True,False
921,921_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.770000000000000017763568394003,133.000000000000000000000000000000,5000,59,0.001000000000000000020816681712,0.050000000000000002775557561563,True,True
922,922_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,3.000000000000000000000000000000,1,4708,2.621276591635167463323341507930,0.050000000000000002775557561563,False,False
923,923_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,5000,4843,0.001000000000000000020816681712,0.000500000000000000010408340856,False,True
924,924_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,1,4673,3.248088723938967525839416339295,0.010850246802907571180840662350,True,False
925,925_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,4.000000000000000000000000000000,5000,2440,0.001000000000000000020816681712,0.050000000000000002775557561563,False,False
926,926_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,67,10.000000000000000000000000000000,0.000500000000000000010408340856,True,True
927,927_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.760000000000000008881784197001,115.000000000000000000000000000000,5000,87,5.349563919103237807917139434721,0.050000000000000002775557561563,False,True
928,928_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,14,0.001000000000000000020816681712,0.000500000000000000010408340856,True,True
929,929_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.739999999999999991118215802999,10.000000000000000000000000000000,3311,27,0.001000000000000000020816681712,0.050000000000000002775557561563,True,False
930,930_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,42,5.355039470043844396229815174593,0.000500000000000000010408340856,False,True
931,931_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,3.000000000000000000000000000000,1,4677,3.844198577121858306782087311149,0.000500000000000000010408340856,False,False
932,932_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,2.000000000000000000000000000000,5000,3546,10.000000000000000000000000000000,0.000500000000000000010408340856,False,False
933,933_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,4860,0.001000000000000000020816681712,0.000500000000000000010408340856,True,True
934,870_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,13,0.001000000000000000020816681712,0.000500000000000000010408340856,True,True
935,935_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,4832,7.671463563862326751063847041223,0.000500000000000000010408340856,True,True
936,936_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,2,3.196641204415745285416505794274,0.000500000000000000010408340856,False,True
937,937_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.770000000000000017763568394003,106.000000000000000000000000000000,5000,65,4.780903028528869391777789132902,0.050000000000000002775557561563,False,True
938,938_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,42,6.261624824500881203448443557136,0.000500000000000000010408340856,False,True
939,939_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.719999999999999973354647408996,3.000000000000000000000000000000,530,3148,0.001000000000000000020816681712,0.000500000000000000010408340856,False,False
940,940_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,2.000000000000000000000000000000,2854,4448,4.563228908749588974558264453663,0.050000000000000002775557561563,False,False
941,941_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.800000000000000044408920985006,472.000000000000000000000000000000,1,2,3.186545004962830773820314789191,0.050000000000000002775557561563,False,True
942,942_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,4955,3.985746024538622478416982630733,0.000500000000000000010408340856,False,True
943,943_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,2.000000000000000000000000000000,4791,2430,3.504144494839977141964482143521,0.000500000000000000010408340856,False,False
944,944_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,5000,2,6.972526706705733268165658955695,0.000500000000000000010408340856,True,True
945,945_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,2.000000000000000000000000000000,4940,1513,3.711420402991679967641402981826,0.000500000000000000010408340856,False,False
946,946_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,4793,7.759622136397448244338193035219,0.000500000000000000010408340856,False,True
947,947_0,FAILED,BoTorch,BOTORCH_MODULAR,,,278,4687,1.534528600494984518221031066787,0.000500000000000000010408340856,True,True
948,870_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,13,0.001000000000000000020816681712,0.000500000000000000010408340856,True,True
949,949_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.640000000000000013322676295502,3.000000000000000000000000000000,5000,977,0.516185438315361122540991800633,0.000500000000000000010408340856,False,False
950,950_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,4608,7.150902642996035396549814322498,0.050000000000000002775557561563,False,True
951,951_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,4630,0.001000000000000000020816681712,0.050000000000000002775557561563,True,True
952,952_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,176,10.000000000000000000000000000000,0.000500000000000000010408340856,False,True
953,953_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,215,10.000000000000000000000000000000,0.000500000000000000010408340856,True,False
954,954_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,129,10.000000000000000000000000000000,0.050000000000000002775557561563,True,False
955,955_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2,987,10.000000000000000000000000000000,0.000500000000000000010408340856,True,False
956,956_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,2950,4306,10.000000000000000000000000000000,0.050000000000000002775557561563,False,True
957,957_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.699999999999999955591079014994,3.000000000000000000000000000000,1,2211,0.001000000000000000020816681712,0.000500000000000000010408340856,False,False
958,958_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.680000000000000048849813083507,38.000000000000000000000000000000,5000,762,0.001000000000000000020816681712,0.000500000000000000010408340856,True,False
959,959_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,3.000000000000000000000000000000,47,4669,6.093914339905892596505054825684,0.050000000000000002775557561563,False,False
960,960_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,67,9.305676367074600108253434882499,0.000500000000000000010408340856,True,True
961,961_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,5000,10.000000000000000000000000000000,0.000500000000000000010408340856,False,True
962,962_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,64,5.587129452417212149839542689733,0.000500000000000000010408340856,False,True
963,963_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,301,1498,10.000000000000000000000000000000,0.000500000000000000010408340856,True,False
964,964_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,2313,4732,8.203810181014185687331519147847,0.050000000000000002775557561563,False,True
965,965_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,2.000000000000000000000000000000,5000,4632,4.585247171500902219065665121889,0.050000000000000002775557561563,False,False
966,966_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.739999999999999991118215802999,9.000000000000000000000000000000,1,19,0.001000000000000000020816681712,0.050000000000000002775557561563,True,False
967,967_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,64,10.000000000000000000000000000000,0.000500000000000000010408340856,True,True
968,968_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.770000000000000017763568394003,90.000000000000000000000000000000,5000,44,0.001000000000000000020816681712,0.050000000000000002775557561563,False,True
969,969_0,FAILED,BoTorch,BOTORCH_MODULAR,,,4547,124,10.000000000000000000000000000000,0.050000000000000002775557561563,True,False
970,970_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,2.000000000000000000000000000000,1,760,10.000000000000000000000000000000,0.050000000000000002775557561563,False,False
971,971_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2241,592,10.000000000000000000000000000000,0.000500000000000000010408340856,True,False
972,972_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,4901,0.001000000000000000020816681712,0.050000000000000002775557561563,False,True
973,973_0,FAILED,BoTorch,BOTORCH_MODULAR,,,2,4520,10.000000000000000000000000000000,0.050000000000000002775557561563,False,True
974,967_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,64,10.000000000000000000000000000000,0.000500000000000000010408340856,True,True
975,975_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.569999999999999951150186916493,2.000000000000000000000000000000,5000,4679,1.293141266127208366398804173514,0.000500000000000000010408340856,False,False
976,976_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,2.000000000000000000000000000000,1,4824,6.809361774916551368619366257917,0.050000000000000002775557561563,False,False
977,977_0,FAILED,BoTorch,BOTORCH_MODULAR,,,5000,4971,4.887982017252251232264370628400,0.000500000000000000010408340856,False,True
978,978_0,FAILED,BoTorch,BOTORCH_MODULAR,,,1,2,5.062533221193210586363875336247,0.000500000000000000010408340856,True,False
979,979_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.750000000000000000000000000000,138.000000000000000000000000000000,5000,86,10.000000000000000000000000000000,0.050000000000000002775557561563,True,True
980,980_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.750000000000000000000000000000,103.000000000000000000000000000000,5000,81,9.915224807723420852312301576603,0.050000000000000002775557561563,False,True
981,981_0,FAILED,BoTorch,BOTORCH_MODULAR,,,3025,4392,7.516003526143204105380846158369,0.050000000000000002775557561563,True,True
982,982_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.709999999999999964472863211995,4.000000000000000000000000000000,2650,3278,0.001000000000000000020816681712,0.050000000000000002775557561563,False,False
983,983_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,2313,4717,5.989661077811996747755074466113,0.050000000000000002775557561563,True,True
984,984_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,5000,4562,9.390650646118952948881997144781,0.000500000000000000010408340856,False,True
985,985_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.760000000000000008881784197001,122.000000000000000000000000000000,5000,75,0.001000000000000000020816681712,0.050000000000000002775557561563,False,True
986,986_0,COMPLETED,BoTorch,BOTORCH_MODULAR,0.650000000000000022204460492503,48.000000000000000000000000000000,5000,3995,0.001000000000000000020816681712,0.050000000000000002775557561563,True,False
987,987_0,RUNNING,BoTorch,BOTORCH_MODULAR,,,5000,35,3.895408765067734258025211602217,0.050000000000000002775557561563,False,True
</pre>
<button class='copy_clipboard_button' onclick='copy_to_clipboard_from_id("tab_results_csv_table_pre")'> Copy raw data to clipboard</button>
<button onclick='download_as_file("tab_results_csv_table_pre", "results.csv")'> Download »results.csv« as file</button>
<script>
createTable(tab_results_csv_json, tab_results_headers_json, 'tab_results_csv_table');</script>
<h1> Errors</h1>
<button class='copy_clipboard_button' onclick='copy_to_clipboard_from_id("simple_pre_tab_tab_errors")'> Copy raw data to clipboard</button>
<button onclick='download_as_file("simple_pre_tab_tab_errors", "oo_errors.txt")'> Download »oo_errors.txt« as file</button>
<pre id='simple_pre_tab_tab_errors'><span style="background-color: black; color: white">
⚠ Job 4903525 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4903525/4903525_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4903525/4903525_0_log.out
----------------------------------------
submitit INFO (2025-05-02 15:59:20,376) - Starting with JobEnvironment(job_id=4903525, hostname=i7173, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-05-02 15:59:20,383) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4903525/4903525_submitted.pkl
slurmstepd: error: *** JOB 4903525 ON i7173 CANCELLED AT 2025-05-02T17:59:47 DUE TO TIME LIMIT ***
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4903525/4903525_0_log.err not found
⚠ Job 4903721 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4903721/4903721_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4903721/4903721_0_log.out
----------------------------------------
submitit INFO (2025-05-02 16:15:30,999) - Starting with JobEnvironment(job_id=4903721, hostname=i7171, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-05-02 16:15:31,016) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4903721/4903721_submitted.pkl
slurmstepd: error: *** JOB 4903721 ON i7171 CANCELLED AT 2025-05-02T18:15:48 DUE TO TIME LIMIT ***
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4903721/4903721_0_log.err not found
⚠ Job 4903892 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4903892/4903892_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4903892/4903892_0_log.out
----------------------------------------
submitit INFO (2025-05-02 16:30:40,822) - Starting with JobEnvironment(job_id=4903892, hostname=i7171, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-05-02 16:30:40,825) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4903892/4903892_submitted.pkl
slurmstepd: error: *** JOB 4903892 ON i7171 CANCELLED AT 2025-05-02T18:30:48 DUE TO TIME LIMIT ***
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4903892/4903892_0_log.err not found
⚠ Job 4904041 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4904041/4904041_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4904041/4904041_0_log.out
----------------------------------------
submitit INFO (2025-05-02 16:44:00,764) - Starting with JobEnvironment(job_id=4904041, hostname=i7169, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-05-02 16:44:00,767) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4904041/4904041_submitted.pkl
slurmstepd: error: *** JOB 4904041 ON i7169 CANCELLED AT 2025-05-02T18:44:18 DUE TO TIME LIMIT ***
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4904041/4904041_0_log.err not found
⚠ Job 4904238 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4904238/4904238_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4904238/4904238_0_log.out
----------------------------------------
submitit INFO (2025-05-02 17:01:20,936) - Starting with JobEnvironment(job_id=4904238, hostname=i7170, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-05-02 17:01:20,939) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4904238/4904238_submitted.pkl
slurmstepd: error: *** JOB 4904238 ON i7170 CANCELLED AT 2025-05-02T19:01:19 DUE TO TIME LIMIT ***
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4904238/4904238_0_log.err not found
⚠ Job 4904606 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4904606/4904606_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4904606/4904606_0_log.out
----------------------------------------
submitit INFO (2025-05-02 17:31:21,001) - Starting with JobEnvironment(job_id=4904606, hostname=i7167, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-05-02 17:31:21,020) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4904606/4904606_submitted.pkl
slurmstepd: error: *** JOB 4904606 ON i7167 CANCELLED AT 2025-05-02T19:31:19 DUE TO TIME LIMIT ***
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4904606/4904606_0_log.err not found
⚠ Job 4905002 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4905002/4905002_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4905002/4905002_0_log.out
----------------------------------------
submitit INFO (2025-05-02 18:00:31,465) - Starting with JobEnvironment(job_id=4905002, hostname=i7178, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-05-02 18:00:31,468) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4905002/4905002_submitted.pkl
slurmstepd: error: *** JOB 4905002 ON i7178 CANCELLED AT 2025-05-02T20:00:49 DUE TO TIME LIMIT ***
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4905002/4905002_0_log.err not found
⚠ Job 4905146 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4905146/4905146_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4905146/4905146_0_log.out
----------------------------------------
submitit INFO (2025-05-02 18:13:43,831) - Starting with JobEnvironment(job_id=4905146, hostname=i7176, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-05-02 18:13:43,834) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4905146/4905146_submitted.pkl
slurmstepd: error: *** JOB 4905146 ON i7176 CANCELLED AT 2025-05-02T20:13:53 DUE TO TIME LIMIT ***
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4905146/4905146_0_log.err not found
⚠ Job 4905267 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4905267/4905267_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4905267/4905267_0_log.out
----------------------------------------
submitit INFO (2025-05-02 18:26:01,747) - Starting with JobEnvironment(job_id=4905267, hostname=i7178, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-05-02 18:26:01,761) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4905267/4905267_submitted.pkl
slurmstepd: error: *** JOB 4905267 ON i7178 CANCELLED AT 2025-05-02T20:26:24 DUE TO TIME LIMIT ***
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4905267/4905267_0_log.err not found
⚠ Job 4908624 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4908624/4908624_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4908624/4908624_0_log.out
----------------------------------------
submitit INFO (2025-05-02 22:42:34,905) - Starting with JobEnvironment(job_id=4908624, hostname=i7179, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-05-02 22:42:34,915) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4908624/4908624_submitted.pkl
slurmstepd: error: *** JOB 4908624 ON i7179 CANCELLED AT 2025-05-03T00:42:35 DUE TO TIME LIMIT ***
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4908624/4908624_0_log.err not found
⚠ Job 4909470 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4909470/4909470_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4909470/4909470_0_log.out
----------------------------------------
submitit INFO (2025-05-02 23:41:24,528) - Starting with JobEnvironment(job_id=4909470, hostname=i7180, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-05-02 23:41:24,545) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4909470/4909470_submitted.pkl
slurmstepd: error: *** JOB 4909470 ON i7180 CANCELLED AT 2025-05-03T01:41:37 DUE TO TIME LIMIT ***
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4909470/4909470_0_log.err not found
⚠ Job 4909619 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4909619/4909619_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4909619/4909619_0_log.out
----------------------------------------
submitit INFO (2025-05-02 23:52:25,176) - Starting with JobEnvironment(job_id=4909619, hostname=i7179, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-05-02 23:52:25,179) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4909619/4909619_submitted.pkl
slurmstepd: error: *** JOB 4909619 ON i7179 CANCELLED AT 2025-05-03T01:52:38 DUE TO TIME LIMIT ***
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4909619/4909619_0_log.err not found
⚠ Job 4909777 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4909777/4909777_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4909777/4909777_0_log.out
----------------------------------------
submitit INFO (2025-05-03 00:05:04,969) - Starting with JobEnvironment(job_id=4909777, hostname=i7186, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-05-03 00:05:04,980) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4909777/4909777_submitted.pkl
slurmstepd: error: *** JOB 4909777 ON i7186 CANCELLED AT 2025-05-03T02:05:07 DUE TO TIME LIMIT ***
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4909777/4909777_0_log.err not found
⚠ Job 4911891 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4911891/4911891_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4911891/4911891_0_log.out
----------------------------------------
submitit INFO (2025-05-03 02:53:46,373) - Starting with JobEnvironment(job_id=4911891, hostname=i7179, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-05-03 02:53:46,389) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4911891/4911891_submitted.pkl
slurmstepd: error: *** JOB 4911891 ON i7179 CANCELLED AT 2025-05-03T04:53:48 DUE TO TIME LIMIT ***
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4911891/4911891_0_log.err not found
⚠ Job 4912129 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4912129/4912129_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4912129/4912129_0_log.out
----------------------------------------
submitit INFO (2025-05-03 03:11:05,613) - Starting with JobEnvironment(job_id=4912129, hostname=i7178, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-05-03 03:11:05,628) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4912129/4912129_submitted.pkl
slurmstepd: error: *** JOB 4912129 ON i7178 CANCELLED AT 2025-05-03T05:11:19 DUE TO TIME LIMIT ***
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4912129/4912129_0_log.err not found
⚠ Job 4914055 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4914055/4914055_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4914055/4914055_0_log.out
----------------------------------------
submitit INFO (2025-05-03 05:34:07,199) - Starting with JobEnvironment(job_id=4914055, hostname=i7183, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-05-03 05:34:07,202) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4914055/4914055_submitted.pkl
slurmstepd: error: *** JOB 4914055 ON i7183 CANCELLED AT 2025-05-03T07:34:29 DUE TO TIME LIMIT ***
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4914055/4914055_0_log.err not found
⚠ Job 4914234 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4914234/4914234_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4914234/4914234_0_log.out
----------------------------------------
submitit INFO (2025-05-03 05:47:27,180) - Starting with JobEnvironment(job_id=4914234, hostname=i7183, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-05-03 05:47:27,187) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4914234/4914234_submitted.pkl
slurmstepd: error: *** JOB 4914234 ON i7183 CANCELLED AT 2025-05-03T07:47:31 DUE TO TIME LIMIT ***
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4914234/4914234_0_log.err not found
⚠ Job 4914552 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4914552/4914552_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4914552/4914552_0_log.out
----------------------------------------
submitit INFO (2025-05-03 06:14:27,609) - Starting with JobEnvironment(job_id=4914552, hostname=i7173, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-05-03 06:14:27,611) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4914552/4914552_submitted.pkl
slurmstepd: error: *** JOB 4914552 ON i7173 CANCELLED AT 2025-05-03T08:14:33 DUE TO TIME LIMIT ***
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4914552/4914552_0_log.err not found
⚠ Job 4914990 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4914990/4914990_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4914990/4914990_0_log.out
----------------------------------------
submitit INFO (2025-05-03 06:52:47,381) - Starting with JobEnvironment(job_id=4914990, hostname=i7186, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-05-03 06:52:47,397) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4914990/4914990_submitted.pkl
slurmstepd: error: *** JOB 4914990 ON i7186 CANCELLED AT 2025-05-03T08:53:04 DUE TO TIME LIMIT ***
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4914990/4914990_0_log.err not found
⚠ Job 4915159 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4915159/4915159_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4915159/4915159_0_log.out
----------------------------------------
submitit INFO (2025-05-03 07:08:07,164) - Starting with JobEnvironment(job_id=4915159, hostname=i7172, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-05-03 07:08:07,167) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4915159/4915159_submitted.pkl
slurmstepd: error: *** JOB 4915159 ON i7172 CANCELLED AT 2025-05-03T09:08:34 DUE TO TIME LIMIT ***
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4915159/4915159_0_log.err not found
⚠ Job 4915341 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4915341/4915341_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4915341/4915341_0_log.out
----------------------------------------
submitit INFO (2025-05-03 07:25:07,343) - Starting with JobEnvironment(job_id=4915341, hostname=i7183, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-05-03 07:25:07,347) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4915341/4915341_submitted.pkl
slurmstepd: error: *** JOB 4915341 ON i7183 CANCELLED AT 2025-05-03T09:25:05 DUE TO TIME LIMIT ***
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4915341/4915341_0_log.err not found
⚠ Job 4915538 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4915538/4915538_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4915538/4915538_0_log.out
----------------------------------------
submitit INFO (2025-05-03 07:41:49,727) - Starting with JobEnvironment(job_id=4915538, hostname=i7185, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-05-03 07:41:49,730) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4915538/4915538_submitted.pkl
slurmstepd: error: *** JOB 4915538 ON i7185 CANCELLED AT 2025-05-03T09:42:07 DUE TO TIME LIMIT ***
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4915538/4915538_0_log.err not found
⚠ Job 4915808 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4915808/4915808_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4915808/4915808_0_log.out
----------------------------------------
submitit INFO (2025-05-03 08:02:10,714) - Starting with JobEnvironment(job_id=4915808, hostname=i7183, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-05-03 08:02:10,720) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4915808/4915808_submitted.pkl
slurmstepd: error: *** JOB 4915808 ON i7183 CANCELLED AT 2025-05-03T10:02:09 DUE TO TIME LIMIT ***
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4915808/4915808_0_log.err not found
⚠ Job 4916034 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4916034/4916034_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4916034/4916034_0_log.out
----------------------------------------
submitit INFO (2025-05-03 08:18:29,527) - Starting with JobEnvironment(job_id=4916034, hostname=i7184, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-05-03 08:18:29,533) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4916034/4916034_submitted.pkl
slurmstepd: error: *** JOB 4916034 ON i7184 CANCELLED AT 2025-05-03T10:18:39 DUE TO TIME LIMIT ***
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4916034/4916034_0_log.err not found
⚠ Job 4916511 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4916511/4916511_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4916511/4916511_0_log.out
----------------------------------------
submitit INFO (2025-05-03 08:56:49,692) - Starting with JobEnvironment(job_id=4916511, hostname=i7181, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-05-03 08:56:49,700) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4916511/4916511_submitted.pkl
slurmstepd: error: *** JOB 4916511 ON i7181 CANCELLED AT 2025-05-03T10:57:10 DUE TO TIME LIMIT ***
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4916511/4916511_0_log.err not found
⚠ Job 4920502 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4920502/4920502_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4920502/4920502_0_log.out
----------------------------------------
submitit INFO (2025-05-03 12:37:09,654) - Starting with JobEnvironment(job_id=4920502, hostname=i7181, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-05-03 12:37:09,670) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4920502/4920502_submitted.pkl
slurmstepd: error: *** JOB 4920502 ON i7181 CANCELLED AT 2025-05-03T14:37:16 DUE TO TIME LIMIT ***
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4920502/4920502_0_log.err not found
⚠ Job 4921592 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4921592/4921592_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4921592/4921592_0_log.out
----------------------------------------
submitit INFO (2025-05-03 13:38:52,301) - Starting with JobEnvironment(job_id=4921592, hostname=i7169, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-05-03 13:38:52,304) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4921592/4921592_submitted.pkl
slurmstepd: error: *** JOB 4921592 ON i7169 CANCELLED AT 2025-05-03T15:39:17 DUE TO TIME LIMIT ***
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4921592/4921592_0_log.err not found
⚠ Job 4922136 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4922136/4922136_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4922136/4922136_0_log.out
----------------------------------------
submitit INFO (2025-05-03 14:21:31,942) - Starting with JobEnvironment(job_id=4922136, hostname=i7184, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-05-03 14:21:31,945) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4922136/4922136_submitted.pkl
slurmstepd: error: *** JOB 4922136 ON i7184 CANCELLED AT 2025-05-03T16:21:53 DUE TO TIME LIMIT ***
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4922136/4922136_0_log.err not found
⚠ Job 4922607 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4922607/4922607_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4922607/4922607_0_log.out
----------------------------------------
submitit INFO (2025-05-03 14:59:10,321) - Starting with JobEnvironment(job_id=4922607, hostname=i7180, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-05-03 14:59:10,324) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4922607/4922607_submitted.pkl
slurmstepd: error: *** JOB 4922607 ON i7180 CANCELLED AT 2025-05-03T16:59:25 DUE TO TIME LIMIT ***
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4922607/4922607_0_log.err not found
⚠ Job 4922877 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4922877/4922877_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4922877/4922877_0_log.out
----------------------------------------
submitit INFO (2025-05-03 15:18:32,234) - Starting with JobEnvironment(job_id=4922877, hostname=i7185, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-05-03 15:18:32,247) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4922877/4922877_submitted.pkl
slurmstepd: error: *** JOB 4922877 ON i7185 CANCELLED AT 2025-05-03T17:18:55 DUE TO TIME LIMIT ***
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4922877/4922877_0_log.err not found
⚠ Job 4923643 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4923643/4923643_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4923643/4923643_0_log.out
----------------------------------------
submitit INFO (2025-05-03 16:07:11,179) - Starting with JobEnvironment(job_id=4923643, hostname=i7185, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-05-03 16:07:11,186) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4923643/4923643_submitted.pkl
slurmstepd: error: *** JOB 4923643 ON i7185 CANCELLED AT 2025-05-03T18:07:26 DUE TO TIME LIMIT ***
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4923643/4923643_0_log.err not found
⚠ Job 4924513 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4924513/4924513_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4924513/4924513_0_log.out
----------------------------------------
submitit INFO (2025-05-03 17:12:32,450) - Starting with JobEnvironment(job_id=4924513, hostname=i7186, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-05-03 17:12:32,453) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4924513/4924513_submitted.pkl
slurmstepd: error: *** JOB 4924513 ON i7186 CANCELLED AT 2025-05-03T19:12:59 DUE TO TIME LIMIT ***
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4924513/4924513_0_log.err not found
⚠ Job 4927207 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4927207/4927207_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4927207/4927207_0_log.out
----------------------------------------
submitit INFO (2025-05-03 20:31:33,510) - Starting with JobEnvironment(job_id=4927207, hostname=i7181, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-05-03 20:31:33,525) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4927207/4927207_submitted.pkl
slurmstepd: error: *** JOB 4927207 ON i7181 CANCELLED AT 2025-05-03T22:31:34 DUE TO TIME LIMIT ***
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4927207/4927207_0_log.err not found
⚠ Job 4927475 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4927475/4927475_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4927475/4927475_0_log.out
----------------------------------------
submitit INFO (2025-05-03 20:53:33,950) - Starting with JobEnvironment(job_id=4927475, hostname=i7185, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-05-03 20:53:33,953) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4927475/4927475_submitted.pkl
slurmstepd: error: *** JOB 4927475 ON i7185 CANCELLED AT 2025-05-03T22:53:34 DUE TO TIME LIMIT ***
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4927475/4927475_0_log.err not found
⚠ Job 4927739 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4927739/4927739_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4927739/4927739_0_log.out
----------------------------------------
submitit INFO (2025-05-03 21:10:33,812) - Starting with JobEnvironment(job_id=4927739, hostname=i7181, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-05-03 21:10:33,827) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4927739/4927739_submitted.pkl
slurmstepd: error: *** JOB 4927739 ON i7181 CANCELLED AT 2025-05-03T23:10:36 DUE TO TIME LIMIT ***
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4927739/4927739_0_log.err not found
⚠ Job 4928012 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4928012/4928012_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4928012/4928012_0_log.out
----------------------------------------
submitit INFO (2025-05-03 21:26:13,154) - Starting with JobEnvironment(job_id=4928012, hostname=i7176, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-05-03 21:26:13,171) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4928012/4928012_submitted.pkl
slurmstepd: error: *** JOB 4928012 ON i7176 CANCELLED AT 2025-05-03T23:26:38 DUE TO TIME LIMIT ***
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4928012/4928012_0_log.err not found
⚠ Job 4928136 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4928136/4928136_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4928136/4928136_0_log.out
----------------------------------------
submitit INFO (2025-05-03 21:36:33,848) - Starting with JobEnvironment(job_id=4928136, hostname=i7186, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-05-03 21:36:33,852) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4928136/4928136_submitted.pkl
slurmstepd: error: *** JOB 4928136 ON i7186 CANCELLED AT 2025-05-03T23:36:38 DUE TO TIME LIMIT ***
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4928136/4928136_0_log.err not found
⚠ Job 4928662 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4928662/4928662_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4928662/4928662_0_log.out
----------------------------------------
submitit INFO (2025-05-03 22:16:44,504) - Starting with JobEnvironment(job_id=4928662, hostname=i7176, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-05-03 22:16:44,507) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4928662/4928662_submitted.pkl
slurmstepd: error: *** JOB 4928662 ON i7176 CANCELLED AT 2025-05-04T00:16:41 DUE TO TIME LIMIT ***
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4928662/4928662_0_log.err not found
⚠ Job 4929237 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4929237/4929237_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4929237/4929237_0_log.out
----------------------------------------
submitit INFO (2025-05-03 23:01:43,821) - Starting with JobEnvironment(job_id=4929237, hostname=i7185, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-05-03 23:01:43,832) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4929237/4929237_submitted.pkl
slurmstepd: error: *** JOB 4929237 ON i7185 CANCELLED AT 2025-05-04T01:01:44 DUE TO TIME LIMIT ***
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4929237/4929237_0_log.err not found
⚠ Job 4930635 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4930635/4930635_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4930635/4930635_0_log.out
----------------------------------------
submitit INFO (2025-05-04 00:49:34,412) - Starting with JobEnvironment(job_id=4930635, hostname=i7183, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-05-04 00:49:34,415) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4930635/4930635_submitted.pkl
slurmstepd: error: *** JOB 4930635 ON i7183 CANCELLED AT 2025-05-04T02:49:51 DUE TO TIME LIMIT ***
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4930635/4930635_0_log.err not found
⚠ Job 4932558 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4932558/4932558_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4932558/4932558_0_log.out
----------------------------------------
submitit INFO (2025-05-04 03:14:14,952) - Starting with JobEnvironment(job_id=4932558, hostname=i7181, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-05-04 03:14:14,964) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4932558/4932558_submitted.pkl
slurmstepd: error: *** JOB 4932558 ON i7181 CANCELLED AT 2025-05-04T05:14:29 DUE TO TIME LIMIT ***
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4932558/4932558_0_log.err not found
⚠ Job 4933976 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4933976/4933976_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4933976/4933976_0_log.out
----------------------------------------
submitit INFO (2025-05-04 05:03:35,620) - Starting with JobEnvironment(job_id=4933976, hostname=i7181, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-05-04 05:03:35,641) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4933976/4933976_submitted.pkl
slurmstepd: error: *** JOB 4933976 ON i7181 CANCELLED AT 2025-05-04T07:04:01 DUE TO TIME LIMIT ***
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4933976/4933976_0_log.err not found
⚠ Job 4934407 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4934407/4934407_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4934407/4934407_0_log.out
----------------------------------------
submitit INFO (2025-05-04 05:38:45,908) - Starting with JobEnvironment(job_id=4934407, hostname=i7185, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-05-04 05:38:45,911) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4934407/4934407_submitted.pkl
slurmstepd: error: *** JOB 4934407 ON i7185 CANCELLED AT 2025-05-04T07:39:03 DUE TO TIME LIMIT ***
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4934407/4934407_0_log.err not found
⚠ Job 4935089 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4935089/4935089_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4935089/4935089_0_log.out
----------------------------------------
submitit INFO (2025-05-04 06:34:15,837) - Starting with JobEnvironment(job_id=4935089, hostname=i7183, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-05-04 06:34:15,840) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4935089/4935089_submitted.pkl
slurmstepd: error: *** JOB 4935089 ON i7183 CANCELLED AT 2025-05-04T08:34:37 DUE TO TIME LIMIT ***
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4935089/4935089_0_log.err not found
⚠ Job 4935515 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4935515/4935515_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4935515/4935515_0_log.out
----------------------------------------
submitit INFO (2025-05-04 07:09:36,099) - Starting with JobEnvironment(job_id=4935515, hostname=i7183, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-05-04 07:09:36,118) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4935515/4935515_submitted.pkl
slurmstepd: error: *** JOB 4935515 ON i7183 CANCELLED AT 2025-05-04T09:09:37 DUE TO TIME LIMIT ***
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4935515/4935515_0_log.err not found
⚠ Job 4938609 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4938609/4938609_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4938609/4938609_0_log.out
----------------------------------------
submitit INFO (2025-05-04 11:10:17,700) - Starting with JobEnvironment(job_id=4938609, hostname=i7176, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-05-04 11:10:17,702) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4938609/4938609_submitted.pkl
slurmstepd: error: *** JOB 4938609 ON i7176 CANCELLED AT 2025-05-04T13:10:43 DUE TO TIME LIMIT ***
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4938609/4938609_0_log.err not found
⚠ Job 4938808 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4938808/4938808_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4938808/4938808_0_log.out
----------------------------------------
submitit INFO (2025-05-04 11:25:48,303) - Starting with JobEnvironment(job_id=4938808, hostname=i7173, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-05-04 11:25:48,306) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4938808/4938808_submitted.pkl
slurmstepd: error: *** JOB 4938808 ON i7173 CANCELLED AT 2025-05-04T13:26:13 DUE TO TIME LIMIT ***
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4938808/4938808_0_log.err not found
⚠ Job 4939034 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4939034/4939034_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4939034/4939034_0_log.out
----------------------------------------
submitit INFO (2025-05-04 11:44:38,228) - Starting with JobEnvironment(job_id=4939034, hostname=i7181, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-05-04 11:44:38,231) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4939034/4939034_submitted.pkl
slurmstepd: error: *** JOB 4939034 ON i7181 CANCELLED AT 2025-05-04T13:44:43 DUE TO TIME LIMIT ***
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4939034/4939034_0_log.err not found
⚠ Job 4939272 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4939272/4939272_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4939272/4939272_0_log.out
----------------------------------------
submitit INFO (2025-05-04 12:03:38,370) - Starting with JobEnvironment(job_id=4939272, hostname=i7179, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-05-04 12:03:38,382) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4939272/4939272_submitted.pkl
slurmstepd: error: *** JOB 4939272 ON i7179 CANCELLED AT 2025-05-04T14:03:45 DUE TO TIME LIMIT ***
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4939272/4939272_0_log.err not found
⚠ Job 4939477 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4939477/4939477_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4939477/4939477_0_log.out
----------------------------------------
submitit INFO (2025-05-04 12:22:38,439) - Starting with JobEnvironment(job_id=4939477, hostname=i7178, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-05-04 12:22:38,457) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4939477/4939477_submitted.pkl
slurmstepd: error: *** JOB 4939477 ON i7178 CANCELLED AT 2025-05-04T14:22:46 DUE TO TIME LIMIT ***
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4939477/4939477_0_log.err not found
⚠ Job 4940594 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4940594/4940594_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4940594/4940594_0_log.out
----------------------------------------
submitit INFO (2025-05-04 13:16:48,607) - Starting with JobEnvironment(job_id=4940594, hostname=i7176, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-05-04 13:16:48,611) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4940594/4940594_submitted.pkl
slurmstepd: error: *** JOB 4940594 ON i7176 CANCELLED AT 2025-05-04T15:17:15 DUE TO TIME LIMIT ***
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4940594/4940594_0_log.err not found
⚠ Job 4940854 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4940854/4940854_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4940854/4940854_0_log.out
----------------------------------------
submitit INFO (2025-05-04 13:41:49,532) - Starting with JobEnvironment(job_id=4940854, hostname=i7175, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-05-04 13:41:49,534) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4940854/4940854_submitted.pkl
slurmstepd: error: *** JOB 4940854 ON i7175 CANCELLED AT 2025-05-04T15:42:15 DUE TO TIME LIMIT ***
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4940854/4940854_0_log.err not found
⚠ Job 4941051 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4941051/4941051_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4941051/4941051_0_log.out
----------------------------------------
submitit INFO (2025-05-04 13:59:38,896) - Starting with JobEnvironment(job_id=4941051, hostname=i7183, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-05-04 13:59:38,899) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4941051/4941051_submitted.pkl
slurmstepd: error: *** JOB 4941051 ON i7183 CANCELLED AT 2025-05-04T15:59:46 DUE TO TIME LIMIT ***
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4941051/4941051_0_log.err not found
⚠ Job 4941291 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4941291/4941291_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4941291/4941291_0_log.out
----------------------------------------
submitit INFO (2025-05-04 14:16:48,828) - Starting with JobEnvironment(job_id=4941291, hostname=i7183, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-05-04 14:16:48,831) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4941291/4941291_submitted.pkl
slurmstepd: error: *** JOB 4941291 ON i7183 CANCELLED AT 2025-05-04T16:16:47 DUE TO TIME LIMIT ***
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4941291/4941291_0_log.err not found
⚠ Job 4941517 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4941517/4941517_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4941517/4941517_0_log.out
----------------------------------------
submitit INFO (2025-05-04 14:36:19,109) - Starting with JobEnvironment(job_id=4941517, hostname=i7184, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-05-04 14:36:19,113) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4941517/4941517_submitted.pkl
slurmstepd: error: *** JOB 4941517 ON i7184 CANCELLED AT 2025-05-04T16:36:17 DUE TO TIME LIMIT ***
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4941517/4941517_0_log.err not found
⚠ Job 4941962 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4941962/4941962_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4941962/4941962_0_log.out
----------------------------------------
submitit INFO (2025-05-04 15:13:39,374) - Starting with JobEnvironment(job_id=4941962, hostname=i7183, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-05-04 15:13:39,385) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4941962/4941962_submitted.pkl
slurmstepd: error: *** JOB 4941962 ON i7183 CANCELLED AT 2025-05-04T17:13:50 DUE TO TIME LIMIT ***
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4941962/4941962_0_log.err not found
⚠ Job 4944584 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4944584/4944584_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4944584/4944584_0_log.out
----------------------------------------
submitit INFO (2025-05-04 19:07:21,237) - Starting with JobEnvironment(job_id=4944584, hostname=i7184, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-05-04 19:07:21,241) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4944584/4944584_submitted.pkl
slurmstepd: error: *** JOB 4944584 ON i7184 CANCELLED AT 2025-05-04T21:07:31 DUE TO TIME LIMIT ***
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4944584/4944584_0_log.err not found
⚠ Job 4944865 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4944865/4944865_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4944865/4944865_0_log.out
----------------------------------------
submitit INFO (2025-05-04 19:27:01,379) - Starting with JobEnvironment(job_id=4944865, hostname=i7170, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-05-04 19:27:01,383) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4944865/4944865_submitted.pkl
slurmstepd: error: *** JOB 4944865 ON i7170 CANCELLED AT 2025-05-04T21:27:01 DUE TO TIME LIMIT ***
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4944865/4944865_0_log.err not found
⚠ Job 4945650 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4945650/4945650_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4945650/4945650_0_log.out
----------------------------------------
submitit INFO (2025-05-04 20:41:42,011) - Starting with JobEnvironment(job_id=4945650, hostname=i7184, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-05-04 20:41:42,022) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4945650/4945650_submitted.pkl
slurmstepd: error: *** JOB 4945650 ON i7184 CANCELLED AT 2025-05-04T22:42:05 DUE TO TIME LIMIT ***
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4945650/4945650_0_log.err not found
⚠ Job 4945933 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4945933/4945933_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4945933/4945933_0_log.out
----------------------------------------
submitit INFO (2025-05-04 21:02:42,085) - Starting with JobEnvironment(job_id=4945933, hostname=i7186, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-05-04 21:02:42,088) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4945933/4945933_submitted.pkl
slurmstepd: error: *** JOB 4945933 ON i7186 CANCELLED AT 2025-05-04T23:03:05 DUE TO TIME LIMIT ***
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4945933/4945933_0_log.err not found
⚠ Job 4947112 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4947112/4947112_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4947112/4947112_0_log.out
----------------------------------------
submitit INFO (2025-05-04 22:47:52,430) - Starting with JobEnvironment(job_id=4947112, hostname=i7184, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-05-04 22:47:52,433) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4947112/4947112_submitted.pkl
slurmstepd: error: *** JOB 4947112 ON i7184 CANCELLED AT 2025-05-05T00:48:10 DUE TO TIME LIMIT ***
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4947112/4947112_0_log.err not found
⚠ Job 4947888 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4947888/4947888_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4947888/4947888_0_log.out
----------------------------------------
submitit INFO (2025-05-04 23:57:23,018) - Starting with JobEnvironment(job_id=4947888, hostname=i7183, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-05-04 23:57:23,022) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4947888/4947888_submitted.pkl
slurmstepd: error: *** JOB 4947888 ON i7183 CANCELLED AT 2025-05-05T01:57:44 DUE TO TIME LIMIT ***
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4947888/4947888_0_log.err not found
⚠ Job 4948974 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4948974/4948974_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4948974/4948974_0_log.out
----------------------------------------
submitit INFO (2025-05-05 01:38:53,404) - Starting with JobEnvironment(job_id=4948974, hostname=i7180, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-05-05 01:38:53,410) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4948974/4948974_submitted.pkl
slurmstepd: error: *** JOB 4948974 ON i7180 CANCELLED AT 2025-05-05T03:39:19 DUE TO TIME LIMIT ***
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4948974/4948974_0_log.err not found
⚠ Job 4951084 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4951084/4951084_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4951084/4951084_0_log.out
----------------------------------------
submitit INFO (2025-05-05 04:49:24,018) - Starting with JobEnvironment(job_id=4951084, hostname=i7184, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-05-05 04:49:24,033) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4951084/4951084_submitted.pkl
slurmstepd: error: *** JOB 4951084 ON i7184 CANCELLED AT 2025-05-05T06:49:23 DUE TO TIME LIMIT ***
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4951084/4951084_0_log.err not found
⚠ Job 4951239 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4951239/4951239_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4951239/4951239_0_log.out
----------------------------------------
submitit INFO (2025-05-05 05:02:45,389) - Starting with JobEnvironment(job_id=4951239, hostname=i7186, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-05-05 05:02:45,395) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4951239/4951239_submitted.pkl
slurmstepd: error: *** JOB 4951239 ON i7186 CANCELLED AT 2025-05-05T07:02:53 DUE TO TIME LIMIT ***
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4951239/4951239_0_log.err not found
⚠ Job 4951608 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4951608/4951608_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4951608/4951608_0_log.out
----------------------------------------
submitit INFO (2025-05-05 05:36:45,541) - Starting with JobEnvironment(job_id=4951608, hostname=i7179, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-05-05 05:36:45,545) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4951608/4951608_submitted.pkl
slurmstepd: error: *** JOB 4951608 ON i7179 CANCELLED AT 2025-05-05T07:36:55 DUE TO TIME LIMIT ***
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4951608/4951608_0_log.err not found
⚠ Job 4951825 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4951825/4951825_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4951825/4951825_0_log.out
----------------------------------------
submitit INFO (2025-05-05 05:57:05,643) - Starting with JobEnvironment(job_id=4951825, hostname=i7184, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-05-05 05:57:05,648) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4951825/4951825_submitted.pkl
slurmstepd: error: *** JOB 4951825 ON i7184 CANCELLED AT 2025-05-05T07:57:26 DUE TO TIME LIMIT ***
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4951825/4951825_0_log.err not found
⚠ Job 4952113 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4952113/4952113_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4952113/4952113_0_log.out
----------------------------------------
submitit INFO (2025-05-05 06:15:24,375) - Starting with JobEnvironment(job_id=4952113, hostname=i7175, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-05-05 06:15:24,378) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4952113/4952113_submitted.pkl
slurmstepd: error: *** JOB 4952113 ON i7175 CANCELLED AT 2025-05-05T08:15:27 DUE TO TIME LIMIT ***
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4952113/4952113_0_log.err not found
⚠ Job 4952350 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4952350/4952350_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4952350/4952350_0_log.out
----------------------------------------
submitit INFO (2025-05-05 06:37:46,091) - Starting with JobEnvironment(job_id=4952350, hostname=i7185, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-05-05 06:37:46,097) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4952350/4952350_submitted.pkl
slurmstepd: error: *** JOB 4952350 ON i7185 CANCELLED AT 2025-05-05T08:37:57 DUE TO TIME LIMIT ***
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4952350/4952350_0_log.err not found
⚠ Job 4952541 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4952541/4952541_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4952541/4952541_0_log.out
----------------------------------------
submitit INFO (2025-05-05 06:55:24,930) - Starting with JobEnvironment(job_id=4952541, hostname=i7184, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-05-05 06:55:24,946) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4952541/4952541_submitted.pkl
slurmstepd: error: *** JOB 4952541 ON i7184 CANCELLED AT 2025-05-05T08:55:29 DUE TO TIME LIMIT ***
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4952541/4952541_0_log.err not found
⚠ Job 4952799 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4952799/4952799_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4952799/4952799_0_log.out
----------------------------------------
submitit INFO (2025-05-05 07:19:06,028) - Starting with JobEnvironment(job_id=4952799, hostname=i7183, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-05-05 07:19:06,053) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4952799/4952799_submitted.pkl
slurmstepd: error: *** JOB 4952799 ON i7183 CANCELLED AT 2025-05-05T09:19:31 DUE TO TIME LIMIT ***
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4952799/4952799_0_log.err not found
⚠ Job 4953315 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4953315/4953315_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4953315/4953315_0_log.out
----------------------------------------
submitit INFO (2025-05-05 08:09:25,486) - Starting with JobEnvironment(job_id=4953315, hostname=i7178, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-05-05 08:09:25,496) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4953315/4953315_submitted.pkl
slurmstepd: error: *** JOB 4953315 ON i7178 CANCELLED AT 2025-05-05T10:09:33 DUE TO TIME LIMIT ***
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4953315/4953315_0_log.err not found
⚠ Job 4953819 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4953819/4953819_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4953819/4953819_0_log.out
----------------------------------------
submitit INFO (2025-05-05 08:57:25,704) - Starting with JobEnvironment(job_id=4953819, hostname=i7182, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-05-05 08:57:25,708) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4953819/4953819_submitted.pkl
slurmstepd: error: *** JOB 4953819 ON i7182 CANCELLED AT 2025-05-05T10:57:33 DUE TO TIME LIMIT ***
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4953819/4953819_0_log.err not found
⚠ Job 4957817 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4957817/4957817_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4957817/4957817_0_log.out
----------------------------------------
submitit INFO (2025-05-05 13:37:27,564) - Starting with JobEnvironment(job_id=4957817, hostname=i7179, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-05-05 13:37:27,568) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4957817/4957817_submitted.pkl
slurmstepd: error: *** JOB 4957817 ON i7179 CANCELLED AT 2025-05-05T15:37:48 DUE TO TIME LIMIT ***
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4957817/4957817_0_log.err not found
⚠ Job 4957994 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4957994/4957994_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4957994/4957994_0_log.out
----------------------------------------
submitit INFO (2025-05-05 13:55:53,310) - Starting with JobEnvironment(job_id=4957994, hostname=i7184, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-05-05 13:55:53,314) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4957994/4957994_submitted.pkl
slurmstepd: error: *** JOB 4957994 ON i7184 CANCELLED AT 2025-05-05T15:55:50 DUE TO TIME LIMIT ***
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4957994/4957994_0_log.err not found
⚠ Job 4958364 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4958364/4958364_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4958364/4958364_0_log.out
----------------------------------------
submitit INFO (2025-05-05 14:18:28,538) - Starting with JobEnvironment(job_id=4958364, hostname=i7183, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-05-05 14:18:28,543) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4958364/4958364_submitted.pkl
slurmstepd: error: *** JOB 4958364 ON i7183 CANCELLED AT 2025-05-05T16:18:51 DUE TO TIME LIMIT ***
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4958364/4958364_0_log.err not found
⚠ Job 4958824 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4958824/4958824_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4958824/4958824_0_log.out
----------------------------------------
submitit INFO (2025-05-05 14:57:30,307) - Starting with JobEnvironment(job_id=4958824, hostname=i7185, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-05-05 14:57:30,311) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4958824/4958824_submitted.pkl
slurmstepd: error: *** JOB 4958824 ON i7185 CANCELLED AT 2025-05-05T16:57:55 DUE TO TIME LIMIT ***
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4958824/4958824_0_log.err not found
⚠ Job 4959453 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4959453/4959453_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4959453/4959453_0_log.out
----------------------------------------
submitit INFO (2025-05-05 15:50:55,082) - Starting with JobEnvironment(job_id=4959453, hostname=i7181, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-05-05 15:50:55,087) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4959453/4959453_submitted.pkl
slurmstepd: error: *** JOB 4959453 ON i7181 CANCELLED AT 2025-05-05T17:50:57 DUE TO TIME LIMIT ***
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4959453/4959453_0_log.err not found
⚠ Job 4959922 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4959922/4959922_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4959922/4959922_0_log.out
----------------------------------------
submitit INFO (2025-05-05 16:24:14,838) - Starting with JobEnvironment(job_id=4959922, hostname=i7180, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-05-05 16:24:14,842) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4959922/4959922_submitted.pkl
slurmstepd: error: *** JOB 4959922 ON i7180 CANCELLED AT 2025-05-05T18:24:27 DUE TO TIME LIMIT ***
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4959922/4959922_0_log.err not found
⚠ Job 4960164 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4960164/4960164_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4960164/4960164_0_log.out
----------------------------------------
submitit INFO (2025-05-05 16:48:11,819) - Starting with JobEnvironment(job_id=4960164, hostname=i7181, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-05-05 16:48:11,824) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4960164/4960164_submitted.pkl
slurmstepd: error: *** JOB 4960164 ON i7181 CANCELLED AT 2025-05-05T18:48:29 DUE TO TIME LIMIT ***
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4960164/4960164_0_log.err not found
⚠ Job 4960521 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4960521/4960521_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4960521/4960521_0_log.out
----------------------------------------
submitit INFO (2025-05-05 17:17:33,162) - Starting with JobEnvironment(job_id=4960521, hostname=i7181, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-05-05 17:17:33,166) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4960521/4960521_submitted.pkl
slurmstepd: error: *** JOB 4960521 ON i7181 CANCELLED AT 2025-05-05T19:17:59 DUE TO TIME LIMIT ***
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4960521/4960521_0_log.err not found
⚠ Job 4960850 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4960850/4960850_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4960850/4960850_0_log.out
----------------------------------------
submitit INFO (2025-05-05 17:43:54,208) - Starting with JobEnvironment(job_id=4960850, hostname=i7181, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-05-05 17:43:54,213) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4960850/4960850_submitted.pkl
slurmstepd: error: *** JOB 4960850 ON i7181 CANCELLED AT 2025-05-05T19:43:59 DUE TO TIME LIMIT ***
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4960850/4960850_0_log.err not found
⚠ Job 4961123 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4961123/4961123_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4961123/4961123_0_log.out
----------------------------------------
submitit INFO (2025-05-05 18:08:16,898) - Starting with JobEnvironment(job_id=4961123, hostname=i7183, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-05-05 18:08:16,902) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4961123/4961123_submitted.pkl
slurmstepd: error: *** JOB 4961123 ON i7183 CANCELLED AT 2025-05-05T20:08:32 DUE TO TIME LIMIT ***
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4961123/4961123_0_log.err not found
⚠ Job 4963603 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4963603/4963603_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4963603/4963603_0_log.out
----------------------------------------
submitit INFO (2025-05-05 22:08:00,188) - Starting with JobEnvironment(job_id=4963603, hostname=i7183, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-05-05 22:08:00,192) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4963603/4963603_submitted.pkl
slurmstepd: error: *** JOB 4963603 ON i7183 CANCELLED AT 2025-05-06T00:08:05 DUE TO TIME LIMIT ***
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4963603/4963603_0_log.err not found
⚠ Job 4963760 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4963760/4963760_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4963760/4963760_0_log.out
----------------------------------------
submitit INFO (2025-05-05 22:24:20,255) - Starting with JobEnvironment(job_id=4963760, hostname=i7181, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-05-05 22:24:20,258) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4963760/4963760_submitted.pkl
slurmstepd: error: *** JOB 4963760 ON i7181 CANCELLED AT 2025-05-06T00:24:35 DUE TO TIME LIMIT ***
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4963760/4963760_0_log.err not found
⚠ Job 4964061 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4964061/4964061_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4964061/4964061_0_log.out
----------------------------------------
submitit INFO (2025-05-05 22:56:20,761) - Starting with JobEnvironment(job_id=4964061, hostname=i7186, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-05-05 22:56:20,765) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4964061/4964061_submitted.pkl
slurmstepd: error: *** JOB 4964061 ON i7186 CANCELLED AT 2025-05-06T00:56:35 DUE TO TIME LIMIT ***
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4964061/4964061_0_log.err not found
⚠ Job 4964926 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4964926/4964926_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4964926/4964926_0_log.out
----------------------------------------
submitit INFO (2025-05-06 00:21:21,350) - Starting with JobEnvironment(job_id=4964926, hostname=i7181, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-05-06 00:21:21,354) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4964926/4964926_submitted.pkl
slurmstepd: error: *** JOB 4964926 ON i7181 CANCELLED AT 2025-05-06T02:21:39 DUE TO TIME LIMIT ***
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4964926/4964926_0_log.err not found
⚠ Job 4965121 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4965121/4965121_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4965121/4965121_0_log.out
----------------------------------------
submitit INFO (2025-05-06 00:41:21,494) - Starting with JobEnvironment(job_id=4965121, hostname=i7183, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-05-06 00:41:21,498) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4965121/4965121_submitted.pkl
slurmstepd: error: *** JOB 4965121 ON i7183 CANCELLED AT 2025-05-06T02:41:40 DUE TO TIME LIMIT ***
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4965121/4965121_0_log.err not found
⚠ Job 4965555 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4965555/4965555_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4965555/4965555_0_log.out
----------------------------------------
submitit INFO (2025-05-06 01:22:21,557) - Starting with JobEnvironment(job_id=4965555, hostname=i7183, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-05-06 01:22:21,561) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4965555/4965555_submitted.pkl
slurmstepd: error: *** JOB 4965555 ON i7183 CANCELLED AT 2025-05-06T03:22:42 DUE TO TIME LIMIT ***
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4965555/4965555_0_log.err not found
⚠ Job 4965759 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4965759/4965759_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4965759/4965759_0_log.out
----------------------------------------
submitit INFO (2025-05-06 01:42:41,914) - Starting with JobEnvironment(job_id=4965759, hostname=i7185, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-05-06 01:42:41,918) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4965759/4965759_submitted.pkl
slurmstepd: error: *** JOB 4965759 ON i7185 CANCELLED AT 2025-05-06T03:42:45 DUE TO TIME LIMIT ***
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4965759/4965759_0_log.err not found
⚠ Job 4965967 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4965967/4965967_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4965967/4965967_0_log.out
----------------------------------------
submitit INFO (2025-05-06 02:02:44,941) - Starting with JobEnvironment(job_id=4965967, hostname=i7180, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-05-06 02:02:44,945) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4965967/4965967_submitted.pkl
slurmstepd: error: *** JOB 4965967 ON i7180 CANCELLED AT 2025-05-06T04:02:45 DUE TO TIME LIMIT ***
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4965967/4965967_0_log.err not found
⚠ Job 4968766 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4968766/4968766_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4968766/4968766_0_log.out
----------------------------------------
submitit INFO (2025-05-06 06:42:34,192) - Starting with JobEnvironment(job_id=4968766, hostname=i7184, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-05-06 06:42:34,195) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4968766/4968766_submitted.pkl
slurmstepd: error: *** JOB 4968766 ON i7184 CANCELLED AT 2025-05-06T08:42:55 DUE TO TIME LIMIT ***
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4968766/4968766_0_log.err not found
⚠ Job 4969316 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4969316/4969316_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4969316/4969316_0_log.out
----------------------------------------
submitit INFO (2025-05-06 07:33:48,456) - Starting with JobEnvironment(job_id=4969316, hostname=i7181, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-05-06 07:33:48,459) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4969316/4969316_submitted.pkl
slurmstepd: error: *** JOB 4969316 ON i7181 CANCELLED AT 2025-05-06T09:34:00 DUE TO TIME LIMIT ***
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4969316/4969316_0_log.err not found
⚠ Job 4969536 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4969536/4969536_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4969536/4969536_0_log.out
----------------------------------------
submitit INFO (2025-05-06 07:56:04,339) - Starting with JobEnvironment(job_id=4969536, hostname=i7181, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-05-06 07:56:04,342) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4969536/4969536_submitted.pkl
slurmstepd: error: *** JOB 4969536 ON i7181 CANCELLED AT 2025-05-06T09:56:32 DUE TO TIME LIMIT ***
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4969536/4969536_0_log.err not found
⚠ Job 4969774 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4969774/4969774_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4969774/4969774_0_log.out
----------------------------------------
submitit INFO (2025-05-06 08:20:04,751) - Starting with JobEnvironment(job_id=4969774, hostname=i7185, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-05-06 08:20:04,755) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4969774/4969774_submitted.pkl
slurmstepd: error: *** JOB 4969774 ON i7185 CANCELLED AT 2025-05-06T10:20:31 DUE TO TIME LIMIT ***
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4969774/4969774_0_log.err not found
⚠ Job 4970124 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4970124/4970124_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4970124/4970124_0_log.out
----------------------------------------
submitit INFO (2025-05-06 08:55:29,544) - Starting with JobEnvironment(job_id=4970124, hostname=i7184, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-05-06 08:55:29,548) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4970124/4970124_submitted.pkl
slurmstepd: error: *** JOB 4970124 ON i7184 CANCELLED AT 2025-05-06T10:55:34 DUE TO TIME LIMIT ***
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4970124/4970124_0_log.err not found
⚠ Job 4970317 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4970317/4970317_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4970317/4970317_0_log.out
----------------------------------------
submitit INFO (2025-05-06 09:17:06,400) - Starting with JobEnvironment(job_id=4970317, hostname=i7185, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-05-06 09:17:06,403) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4970317/4970317_submitted.pkl
slurmstepd: error: *** JOB 4970317 ON i7185 CANCELLED AT 2025-05-06T11:17:04 DUE TO TIME LIMIT ***
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4970317/4970317_0_log.err not found
⚠ Job 4970751 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4970751/4970751_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4970751/4970751_0_log.out
----------------------------------------
submitit INFO (2025-05-06 09:54:34,641) - Starting with JobEnvironment(job_id=4970751, hostname=i7180, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-05-06 09:54:34,645) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4970751/4970751_submitted.pkl
slurmstepd: error: *** JOB 4970751 ON i7180 CANCELLED AT 2025-05-06T11:54:37 DUE TO TIME LIMIT ***
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4970751/4970751_0_log.err not found
⚠ Job 4971024 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4971024/4971024_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4971024/4971024_0_log.out
----------------------------------------
submitit INFO (2025-05-06 10:24:00,566) - Starting with JobEnvironment(job_id=4971024, hostname=i7184, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-05-06 10:24:00,571) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4971024/4971024_submitted.pkl
slurmstepd: error: *** JOB 4971024 ON i7184 CANCELLED AT 2025-05-06T12:24:08 DUE TO TIME LIMIT ***
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4971024/4971024_0_log.err not found
⚠ Job 4971242 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4971242/4971242_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4971242/4971242_0_log.out
----------------------------------------
submitit INFO (2025-05-06 10:47:14,389) - Starting with JobEnvironment(job_id=4971242, hostname=i7184, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-05-06 10:47:14,393) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4971242/4971242_submitted.pkl
slurmstepd: error: *** JOB 4971242 ON i7184 CANCELLED AT 2025-05-06T12:47:09 DUE TO TIME LIMIT ***
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4971242/4971242_0_log.err not found
⚠ Job 4971481 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4971481/4971481_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4971481/4971481_0_log.out
----------------------------------------
submitit INFO (2025-05-06 11:12:30,218) - Starting with JobEnvironment(job_id=4971481, hostname=i7185, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-05-06 11:12:30,221) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4971481/4971481_submitted.pkl
slurmstepd: error: *** JOB 4971481 ON i7185 CANCELLED AT 2025-05-06T13:12:39 DUE TO TIME LIMIT ***
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4971481/4971481_0_log.err not found
⚠ Job 4975172 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4975172/4975172_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4975172/4975172_0_log.out
----------------------------------------
submitit INFO (2025-05-06 16:39:19,356) - Starting with JobEnvironment(job_id=4975172, hostname=i7180, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-05-06 16:39:19,362) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4975172/4975172_submitted.pkl
slurmstepd: error: *** JOB 4975172 ON i7180 CANCELLED AT 2025-05-06T18:39:23 DUE TO TIME LIMIT ***
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4975172/4975172_0_log.err not found
⚠ Job 4975412 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4975412/4975412_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4975412/4975412_0_log.out
----------------------------------------
submitit INFO (2025-05-06 17:02:50,132) - Starting with JobEnvironment(job_id=4975412, hostname=i7175, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-05-06 17:02:50,136) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4975412/4975412_submitted.pkl
slurmstepd: error: *** JOB 4975412 ON i7175 CANCELLED AT 2025-05-06T19:02:23 DUE TO TIME LIMIT ***
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4975412/4975412_0_log.err not found
⚠ Job 4975779 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4975779/4975779_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4975779/4975779_0_log.out
----------------------------------------
submitit INFO (2025-05-06 17:39:09,492) - Starting with JobEnvironment(job_id=4975779, hostname=i7181, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-05-06 17:39:09,500) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4975779/4975779_submitted.pkl
slurmstepd: error: *** JOB 4975779 ON i7181 CANCELLED AT 2025-05-06T19:39:24 DUE TO TIME LIMIT ***
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4975779/4975779_0_log.err not found
⚠ Job 4975959 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4975959/4975959_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4975959/4975959_0_log.out
----------------------------------------
submitit INFO (2025-05-06 17:59:18,674) - Starting with JobEnvironment(job_id=4975959, hostname=i7181, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-05-06 17:59:18,677) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4975959/4975959_submitted.pkl
slurmstepd: error: *** JOB 4975959 ON i7181 CANCELLED AT 2025-05-06T19:59:24 DUE TO TIME LIMIT ***
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4975959/4975959_0_log.err not found
⚠ Job 4976510 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4976510/4976510_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4976510/4976510_0_log.out
----------------------------------------
submitit INFO (2025-05-06 18:59:50,352) - Starting with JobEnvironment(job_id=4976510, hostname=i7182, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-05-06 18:59:50,354) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4976510/4976510_submitted.pkl
slurmstepd: error: *** JOB 4976510 ON i7182 CANCELLED AT 2025-05-06T20:59:55 DUE TO TIME LIMIT ***
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4976510/4976510_0_log.err not found
⚠ Job 4977022 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4977022/4977022_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4977022/4977022_0_log.out
----------------------------------------
submitit INFO (2025-05-06 19:52:39,085) - Starting with JobEnvironment(job_id=4977022, hostname=i7183, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-05-06 19:52:39,089) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4977022/4977022_submitted.pkl
slurmstepd: error: *** JOB 4977022 ON i7183 CANCELLED AT 2025-05-06T21:52:57 DUE TO TIME LIMIT ***
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4977022/4977022_0_log.err not found
⚠ Job 4977655 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4977655/4977655_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4977655/4977655_0_log.out
----------------------------------------
submitit INFO (2025-05-06 21:00:17,896) - Starting with JobEnvironment(job_id=4977655, hostname=i7186, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-05-06 21:00:17,900) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4977655/4977655_submitted.pkl
slurmstepd: error: *** JOB 4977655 ON i7186 CANCELLED AT 2025-05-06T23:00:35 DUE TO TIME LIMIT ***
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4977655/4977655_0_log.err not found
⚠ Job 4979727 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4979727/4979727_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4979727/4979727_0_log.out
----------------------------------------
submitit INFO (2025-05-07 00:36:09,216) - Starting with JobEnvironment(job_id=4979727, hostname=i7183, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-05-07 00:36:09,219) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4979727/4979727_submitted.pkl
slurmstepd: error: *** JOB 4979727 ON i7183 CANCELLED AT 2025-05-07T02:36:10 DUE TO TIME LIMIT ***
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4979727/4979727_0_log.err not found
⚠ Job 4980129 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4980129/4980129_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4980129/4980129_0_log.out
----------------------------------------
submitit INFO (2025-05-07 01:15:59,610) - Starting with JobEnvironment(job_id=4980129, hostname=i7182, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-05-07 01:15:59,613) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4980129/4980129_submitted.pkl
slurmstepd: error: *** JOB 4980129 ON i7182 CANCELLED AT 2025-05-07T03:16:12 DUE TO TIME LIMIT ***
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4980129/4980129_0_log.err not found
⚠ Job 4980564 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4980564/4980564_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4980564/4980564_0_log.out
----------------------------------------
submitit INFO (2025-05-07 02:02:09,945) - Starting with JobEnvironment(job_id=4980564, hostname=i7180, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-05-07 02:02:09,948) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4980564/4980564_submitted.pkl
slurmstepd: error: *** JOB 4980564 ON i7180 CANCELLED AT 2025-05-07T04:02:14 DUE TO TIME LIMIT ***
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4980564/4980564_0_log.err not found
⚠ Job 4980831 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4980831/4980831_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4980831/4980831_0_log.out
----------------------------------------
submitit INFO (2025-05-07 02:28:01,384) - Starting with JobEnvironment(job_id=4980831, hostname=i7179, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-05-07 02:28:01,388) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4980831/4980831_submitted.pkl
slurmstepd: error: *** JOB 4980831 ON i7179 CANCELLED AT 2025-05-07T04:28:15 DUE TO TIME LIMIT ***
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4980831/4980831_0_log.err not found
⚠ Job 4981513 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4981513/4981513_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4981513/4981513_0_log.out
----------------------------------------
submitit INFO (2025-05-07 03:37:22,053) - Starting with JobEnvironment(job_id=4981513, hostname=i7183, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-05-07 03:37:22,058) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4981513/4981513_submitted.pkl
slurmstepd: error: *** JOB 4981513 ON i7183 CANCELLED AT 2025-05-07T05:37:18 DUE TO TIME LIMIT ***
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4981513/4981513_0_log.err not found
⚠ Job 4981756 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4981756/4981756_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4981756/4981756_0_log.out
----------------------------------------
submitit INFO (2025-05-07 04:05:40,382) - Starting with JobEnvironment(job_id=4981756, hostname=i7186, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-05-07 04:05:40,384) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4981756/4981756_submitted.pkl
slurmstepd: error: *** JOB 4981756 ON i7186 CANCELLED AT 2025-05-07T06:05:48 DUE TO TIME LIMIT ***
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4981756/4981756_0_log.err not found
⚠ Job 4982381 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4982381/4982381_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4982381/4982381_0_log.out
----------------------------------------
submitit INFO (2025-05-07 05:17:22,000) - Starting with JobEnvironment(job_id=4982381, hostname=i7183, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-05-07 05:17:22,005) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4982381/4982381_submitted.pkl
slurmstepd: error: *** JOB 4982381 ON i7183 CANCELLED AT 2025-05-07T07:17:21 DUE TO TIME LIMIT ***
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4982381/4982381_0_log.err not found
⚠ Job 4983456 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4983456/4983456_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4983456/4983456_0_log.out
----------------------------------------
submitit INFO (2025-05-07 07:11:48,176) - Starting with JobEnvironment(job_id=4983456, hostname=i7183, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-05-07 07:11:48,180) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4983456/4983456_submitted.pkl
slurmstepd: error: *** JOB 4983456 ON i7183 CANCELLED AT 2025-05-07T09:11:53 DUE TO TIME LIMIT ***
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4983456/4983456_0_log.err not found
⚠ Job 4986561 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4986561/4986561_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4986561/4986561_0_log.out
----------------------------------------
submitit INFO (2025-05-07 12:40:25,886) - Starting with JobEnvironment(job_id=4986561, hostname=i7179, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-05-07 12:40:25,889) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4986561/4986561_submitted.pkl
slurmstepd: error: *** JOB 4986561 ON i7179 CANCELLED AT 2025-05-07T14:40:33 DUE TO TIME LIMIT ***
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4986561/4986561_0_log.err not found
⚠ Job 4987280 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4987280/4987280_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4987280/4987280_0_log.out
----------------------------------------
submitit INFO (2025-05-07 13:48:14,181) - Starting with JobEnvironment(job_id=4987280, hostname=i7178, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-05-07 13:48:14,187) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4987280/4987280_submitted.pkl
slurmstepd: error: *** JOB 4987280 ON i7178 CANCELLED AT 2025-05-07T15:48:36 DUE TO TIME LIMIT ***
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4987280/4987280_0_log.err not found
⚠ Job 4987896 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4987896/4987896_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4987896/4987896_0_log.out
----------------------------------------
submitit INFO (2025-05-07 15:00:15,878) - Starting with JobEnvironment(job_id=4987896, hostname=i7183, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-05-07 15:00:15,883) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4987896/4987896_submitted.pkl
slurmstepd: error: *** JOB 4987896 ON i7183 CANCELLED AT 2025-05-07T17:00:08 DUE TO TIME LIMIT ***
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4987896/4987896_0_log.err not found
⚠ Job 4988505 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4988505/4988505_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4988505/4988505_0_log.out
----------------------------------------
submitit INFO (2025-05-07 16:06:48,230) - Starting with JobEnvironment(job_id=4988505, hostname=i7182, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-05-07 16:06:48,234) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4988505/4988505_submitted.pkl
slurmstepd: error: *** JOB 4988505 ON i7182 CANCELLED AT 2025-05-07T18:07:10 DUE TO TIME LIMIT ***
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4988505/4988505_0_log.err not found
⚠ Job 4989116 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4989116/4989116_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4989116/4989116_0_log.out
----------------------------------------
submitit INFO (2025-05-07 17:16:44,972) - Starting with JobEnvironment(job_id=4989116, hostname=i7181, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-05-07 17:16:44,976) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4989116/4989116_submitted.pkl
slurmstepd: error: *** JOB 4989116 ON i7181 CANCELLED AT 2025-05-07T19:16:45 DUE TO TIME LIMIT ***
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4989116/4989116_0_log.err not found
⚠ Job 4991012 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4991012/4991012_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4991012/4991012_0_log.out
----------------------------------------
submitit INFO (2025-05-07 18:25:14,569) - Starting with JobEnvironment(job_id=4991012, hostname=i7179, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-05-07 18:25:14,573) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4991012/4991012_submitted.pkl
slurmstepd: error: *** JOB 4991012 ON i7179 CANCELLED AT 2025-05-07T20:25:20 DUE TO TIME LIMIT ***
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4991012/4991012_0_log.err not found
⚠ Job 4992635 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4992635/4992635_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4992635/4992635_0_log.out
----------------------------------------
submitit INFO (2025-05-07 19:00:14,132) - Starting with JobEnvironment(job_id=4992635, hostname=i7185, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-05-07 19:00:14,139) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4992635/4992635_submitted.pkl
slurmstepd: error: *** JOB 4992635 ON i7185 CANCELLED AT 2025-05-07T21:00:24 DUE TO TIME LIMIT ***
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4992635/4992635_0_log.err not found
⚠ Job 4993160 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4993160/4993160_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4993160/4993160_0_log.out
----------------------------------------
submitit INFO (2025-05-07 19:59:14,192) - Starting with JobEnvironment(job_id=4993160, hostname=i7181, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-05-07 19:59:14,196) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4993160/4993160_submitted.pkl
slurmstepd: error: *** JOB 4993160 ON i7181 CANCELLED AT 2025-05-07T21:59:24 DUE TO TIME LIMIT ***
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4993160/4993160_0_log.err not found
⚠ Job 4995565 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4995565/4995565_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4995565/4995565_0_log.out
----------------------------------------
submitit INFO (2025-05-08 00:34:07,975) - Starting with JobEnvironment(job_id=4995565, hostname=i7184, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-05-08 00:34:07,981) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4995565/4995565_submitted.pkl
slurmstepd: error: *** JOB 4995565 ON i7184 CANCELLED AT 2025-05-08T02:34:07 DUE TO TIME LIMIT ***
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4995565/4995565_0_log.err not found
⚠ Job 4996005 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4996005/4996005_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4996005/4996005_0_log.out
----------------------------------------
submitit INFO (2025-05-08 01:23:08,274) - Starting with JobEnvironment(job_id=4996005, hostname=i7176, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-05-08 01:23:08,282) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4996005/4996005_submitted.pkl
slurmstepd: error: *** JOB 4996005 ON i7176 CANCELLED AT 2025-05-08T03:23:10 DUE TO TIME LIMIT ***
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4996005/4996005_0_log.err not found
⚠ Job 4996681 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4996681/4996681_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4996681/4996681_0_log.out
----------------------------------------
submitit INFO (2025-05-08 02:35:09,548) - Starting with JobEnvironment(job_id=4996681, hostname=i7183, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-05-08 02:35:09,553) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4996681/4996681_submitted.pkl
slurmstepd: error: *** JOB 4996681 ON i7183 CANCELLED AT 2025-05-08T04:35:15 DUE TO TIME LIMIT ***
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4996681/4996681_0_log.err not found
⚠ Job 4997525 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4997525/4997525_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4997525/4997525_0_log.out
----------------------------------------
submitit INFO (2025-05-08 04:17:15,456) - Starting with JobEnvironment(job_id=4997525, hostname=i7178, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-05-08 04:17:15,460) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4997525/4997525_submitted.pkl
slurmstepd: error: *** JOB 4997525 ON i7178 CANCELLED AT 2025-05-08T06:17:21 DUE TO TIME LIMIT ***
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4997525/4997525_0_log.err not found
⚠ Job 4997762 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4997762/4997762_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4997762/4997762_0_log.out
----------------------------------------
submitit INFO (2025-05-08 04:43:15,854) - Starting with JobEnvironment(job_id=4997762, hostname=i7184, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-05-08 04:43:15,858) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4997762/4997762_submitted.pkl
slurmstepd: error: *** JOB 4997762 ON i7184 CANCELLED AT 2025-05-08T06:43:21 DUE TO TIME LIMIT ***
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4997762/4997762_0_log.err not found
⚠ Job 4997952 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4997952/4997952_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4997952/4997952_0_log.out
----------------------------------------
submitit INFO (2025-05-08 05:07:43,725) - Starting with JobEnvironment(job_id=4997952, hostname=i7182, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-05-08 05:07:43,728) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4997952/4997952_submitted.pkl
slurmstepd: error: *** JOB 4997952 ON i7182 CANCELLED AT 2025-05-08T07:07:52 DUE TO TIME LIMIT ***
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4997952/4997952_0_log.err not found
⚠ Job 4998158 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4998158/4998158_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4998158/4998158_0_log.out
----------------------------------------
submitit INFO (2025-05-08 05:32:54,573) - Starting with JobEnvironment(job_id=4998158, hostname=i7182, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-05-08 05:32:54,576) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4998158/4998158_submitted.pkl
slurmstepd: error: *** JOB 4998158 ON i7182 CANCELLED AT 2025-05-08T07:32:54 DUE TO TIME LIMIT ***
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4998158/4998158_0_log.err not found
⚠ Job 4998605 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4998605/4998605_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4998605/4998605_0_log.out
----------------------------------------
submitit INFO (2025-05-08 06:23:35,432) - Starting with JobEnvironment(job_id=4998605, hostname=i7181, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-05-08 06:23:35,435) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4998605/4998605_submitted.pkl
slurmstepd: error: *** JOB 4998605 ON i7181 CANCELLED AT 2025-05-08T08:23:55 DUE TO TIME LIMIT ***
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4998605/4998605_0_log.err not found
⚠ Job 4999665 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4999665/4999665_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4999665/4999665_0_log.out
----------------------------------------
submitit INFO (2025-05-08 08:31:48,547) - Starting with JobEnvironment(job_id=4999665, hostname=i7183, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-05-08 08:31:48,549) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4999665/4999665_submitted.pkl
slurmstepd: error: *** JOB 4999665 ON i7183 CANCELLED AT 2025-05-08T10:32:04 DUE TO TIME LIMIT ***
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/4999665/4999665_0_log.err not found
⚠ Job 5001618 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/5001618/5001618_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/5001618/5001618_0_log.out
----------------------------------------
submitit INFO (2025-05-08 12:23:17,282) - Starting with JobEnvironment(job_id=5001618, hostname=i7183, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-05-08 12:23:17,285) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/5001618/5001618_submitted.pkl
slurmstepd: error: *** JOB 5001618 ON i7183 CANCELLED AT 2025-05-08T14:23:17 DUE TO TIME LIMIT ***
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/5001618/5001618_0_log.err not found
⚠ Job 5001894 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/5001894/5001894_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/5001894/5001894_0_log.out
----------------------------------------
submitit INFO (2025-05-08 12:54:05,018) - Starting with JobEnvironment(job_id=5001894, hostname=i7184, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-05-08 12:54:05,021) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/5001894/5001894_submitted.pkl
slurmstepd: error: *** JOB 5001894 ON i7184 CANCELLED AT 2025-05-08T14:54:18 DUE TO TIME LIMIT ***
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/5001894/5001894_0_log.err not found
⚠ Job 5002147 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/5002147/5002147_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/5002147/5002147_0_log.out
----------------------------------------
submitit INFO (2025-05-08 13:25:44,963) - Starting with JobEnvironment(job_id=5002147, hostname=i7186, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-05-08 13:25:44,966) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/5002147/5002147_submitted.pkl
slurmstepd: error: *** JOB 5002147 ON i7186 CANCELLED AT 2025-05-08T15:25:50 DUE TO TIME LIMIT ***
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/5002147/5002147_0_log.err not found
⚠ Job 5002858 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/5002858/5002858_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/5002858/5002858_0_log.out
----------------------------------------
submitit INFO (2025-05-08 14:39:22,014) - Starting with JobEnvironment(job_id=5002858, hostname=i7184, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-05-08 14:39:22,018) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/5002858/5002858_submitted.pkl
slurmstepd: error: *** JOB 5002858 ON i7184 CANCELLED AT 2025-05-08T16:39:26 DUE TO TIME LIMIT ***
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/5002858/5002858_0_log.err not found
⚠ Job 5003094 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/5003094/5003094_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/5003094/5003094_0_log.out
----------------------------------------
submitit INFO (2025-05-08 15:11:12,346) - Starting with JobEnvironment(job_id=5003094, hostname=i7186, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-05-08 15:11:12,350) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/5003094/5003094_submitted.pkl
slurmstepd: error: *** JOB 5003094 ON i7186 CANCELLED AT 2025-05-08T17:11:30 DUE TO TIME LIMIT ***
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/5003094/5003094_0_log.err not found
⚠ Job 5003381 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/5003381/5003381_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/5003381/5003381_0_log.out
----------------------------------------
submitit INFO (2025-05-08 15:47:08,678) - Starting with JobEnvironment(job_id=5003381, hostname=i7180, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-05-08 15:47:08,681) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/5003381/5003381_submitted.pkl
slurmstepd: error: *** JOB 5003381 ON i7180 CANCELLED AT 2025-05-08T17:47:31 DUE TO TIME LIMIT ***
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/5003381/5003381_0_log.err not found
⚠ Job 5003764 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/5003764/5003764_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/5003764/5003764_0_log.out
----------------------------------------
submitit INFO (2025-05-08 16:32:28,300) - Starting with JobEnvironment(job_id=5003764, hostname=i7184, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-05-08 16:32:28,303) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/5003764/5003764_submitted.pkl
slurmstepd: error: *** JOB 5003764 ON i7184 CANCELLED AT 2025-05-08T18:32:32 DUE TO TIME LIMIT ***
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/5003764/5003764_0_log.err not found
⚠ Job 5004334 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/5004334/5004334_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/5004334/5004334_0_log.out
----------------------------------------
submitit INFO (2025-05-08 17:15:48,080) - Starting with JobEnvironment(job_id=5004334, hostname=i7182, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-05-08 17:15:48,083) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/5004334/5004334_submitted.pkl
slurmstepd: error: *** JOB 5004334 ON i7182 CANCELLED AT 2025-05-08T19:16:06 DUE TO TIME LIMIT ***
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/5004334/5004334_0_log.err not found
⚠ Job 5004708 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/5004708/5004708_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/5004708/5004708_0_log.out
----------------------------------------
submitit INFO (2025-05-08 17:53:08,266) - Starting with JobEnvironment(job_id=5004708, hostname=i7183, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-05-08 17:53:08,269) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/5004708/5004708_submitted.pkl
slurmstepd: error: *** JOB 5004708 ON i7183 CANCELLED AT 2025-05-08T19:53:11 DUE TO TIME LIMIT ***
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/5004708/5004708_0_log.err not found
⚠ Job 5006375 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/5006375/5006375_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/5006375/5006375_0_log.out
----------------------------------------
submitit INFO (2025-05-08 21:02:50,544) - Starting with JobEnvironment(job_id=5006375, hostname=i7186, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-05-08 21:02:50,547) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/5006375/5006375_submitted.pkl
slurmstepd: error: *** JOB 5006375 ON i7186 CANCELLED AT 2025-05-08T23:03:16 DUE TO TIME LIMIT ***
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/5006375/5006375_0_log.err not found
⚠ Job 5006550 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/5006550/5006550_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/5006550/5006550_0_log.out
----------------------------------------
submitit INFO (2025-05-08 21:23:49,892) - Starting with JobEnvironment(job_id=5006550, hostname=i7185, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-05-08 21:23:49,895) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/5006550/5006550_submitted.pkl
slurmstepd: error: *** JOB 5006550 ON i7185 CANCELLED AT 2025-05-08T23:24:16 DUE TO TIME LIMIT ***
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/5006550/5006550_0_log.err not found
⚠ Job 5006779 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/5006779/5006779_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/5006779/5006779_0_log.out
----------------------------------------
submitit INFO (2025-05-08 21:50:30,801) - Starting with JobEnvironment(job_id=5006779, hostname=i7183, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-05-08 21:50:30,805) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/5006779/5006779_submitted.pkl
slurmstepd: error: *** JOB 5006779 ON i7183 CANCELLED AT 2025-05-08T23:50:46 DUE TO TIME LIMIT ***
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/5006779/5006779_0_log.err not found
⚠ Job 5008703 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/5008703/5008703_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/5008703/5008703_0_log.out
----------------------------------------
submitit INFO (2025-05-09 01:30:28,262) - Starting with JobEnvironment(job_id=5008703, hostname=i7181, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-05-09 01:30:28,264) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/5008703/5008703_submitted.pkl
slurmstepd: error: *** JOB 5008703 ON i7181 CANCELLED AT 2025-05-09T03:30:29 DUE TO TIME LIMIT ***
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/5008703/5008703_0_log.err not found
⚠ Job 5009194 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/5009194/5009194_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/5009194/5009194_0_log.out
----------------------------------------
submitit INFO (2025-05-09 02:30:32,168) - Starting with JobEnvironment(job_id=5009194, hostname=i7186, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-05-09 02:30:32,170) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/5009194/5009194_submitted.pkl
slurmstepd: error: *** JOB 5009194 ON i7186 CANCELLED AT 2025-05-09T04:30:32 DUE TO TIME LIMIT ***
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/5009194/5009194_0_log.err not found
⚠ Job 5009825 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/5009825/5009825_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/5009825/5009825_0_log.out
----------------------------------------
submitit INFO (2025-05-09 03:42:05,825) - Starting with JobEnvironment(job_id=5009825, hostname=i7182, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-05-09 03:42:05,828) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/5009825/5009825_submitted.pkl
slurmstepd: error: *** JOB 5009825 ON i7182 CANCELLED AT 2025-05-09T05:42:04 DUE TO TIME LIMIT ***
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/5009825/5009825_0_log.err not found
⚠ Job 5010125 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/5010125/5010125_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/5010125/5010125_0_log.out
----------------------------------------
submitit INFO (2025-05-09 04:21:38,807) - Starting with JobEnvironment(job_id=5010125, hostname=i7184, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-05-09 04:21:38,810) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/5010125/5010125_submitted.pkl
slurmstepd: error: *** JOB 5010125 ON i7184 CANCELLED AT 2025-05-09T06:21:36 DUE TO TIME LIMIT ***
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/5010125/5010125_0_log.err not found
⚠ Job 5010435 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/5010435/5010435_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/5010435/5010435_0_log.out
----------------------------------------
submitit INFO (2025-05-09 04:57:39,664) - Starting with JobEnvironment(job_id=5010435, hostname=i7176, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-05-09 04:57:39,667) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/5010435/5010435_submitted.pkl
slurmstepd: error: *** JOB 5010435 ON i7176 CANCELLED AT 2025-05-09T06:57:39 DUE TO TIME LIMIT ***
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/5010435/5010435_0_log.err not found
⚠ Job 5010787 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/5010787/5010787_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/5010787/5010787_0_log.out
----------------------------------------
submitit INFO (2025-05-09 05:35:40,036) - Starting with JobEnvironment(job_id=5010787, hostname=i7186, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-05-09 05:35:40,039) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/5010787/5010787_submitted.pkl
slurmstepd: error: *** JOB 5010787 ON i7186 CANCELLED AT 2025-05-09T07:35:41 DUE TO TIME LIMIT ***
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/5010787/5010787_0_log.err not found
⚠ Job 5011752 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/5011752/5011752_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/5011752/5011752_0_log.out
----------------------------------------
submitit INFO (2025-05-09 07:33:10,065) - Starting with JobEnvironment(job_id=5011752, hostname=i7183, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-05-09 07:33:10,069) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/5011752/5011752_submitted.pkl
slurmstepd: error: *** JOB 5011752 ON i7183 CANCELLED AT 2025-05-09T09:33:17 DUE TO TIME LIMIT ***
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/5011752/5011752_0_log.err not found
⚠ Job 5012073 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/5012073/5012073_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/5012073/5012073_0_log.out
----------------------------------------
submitit INFO (2025-05-09 08:10:50,304) - Starting with JobEnvironment(job_id=5012073, hostname=i7184, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-05-09 08:10:50,307) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/5012073/5012073_submitted.pkl
slurmstepd: error: *** JOB 5012073 ON i7184 CANCELLED AT 2025-05-09T10:10:50 DUE TO TIME LIMIT ***
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/5012073/5012073_0_log.err not found
⚠ Job 5012992 (task: 0) with path /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/5012992/5012992_0_result.pkl
has not produced any output (state: TIMEOUT)
No error stream produced. Look at stdout: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/5012992/5012992_0_log.out
----------------------------------------
submitit INFO (2025-05-09 09:59:43,464) - Starting with JobEnvironment(job_id=5012992, hostname=i7184, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2025-05-09 09:59:43,488) - Loading pickle: /data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/5012992/5012992_submitted.pkl
slurmstepd: error: *** JOB 5012992 ON i7184 CANCELLED AT 2025-05-09T11:59:53 DUE TO TIME LIMIT ***
/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_HoeffdingTreeClassifier_ACCURACY-RUNTIME/1/single_runs/5012992/5012992_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 »oo_errors.txt« as file</button>
<h1> Args Overview</h1>
<h2>Arguments Overview: </h2><table cellspacing="0" cellpadding="5"><thead><tr><th> Key</th><th>Value </th></tr></thead><tbody><tr><td> config_yaml</td><td>None </td></tr><tr><td> config_toml</td><td>None </td></tr><tr><td> config_json</td><td>None </td></tr><tr><td> num_random_steps</td><td>20 </td></tr><tr><td> max_eval</td><td>50000 </td></tr><tr><td> run_program</td><td>None </td></tr><tr><td> experiment_name</td><td>None </td></tr><tr><td> mem_gb</td><td>32 </td></tr><tr><td> parameter</td><td>None </td></tr><tr><td> continue_previous_job</td><td>/data/horse/ws/s4122485-compPerfDD/benchmark/dfki/benchmarkdd/runs/HDDDM_Electricity_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>['RESULT=min'] </td></tr><tr><td> minkowski_p</td><td>2 </td></tr><tr><td> signed_weighted_euclidean_weights</td><td></td></tr><tr><td> generation_strategy</td><td>None </td></tr><tr><td> generate_all_jobs_at_once</td><td>False </td></tr><tr><td> revert_to_random_when_seemingly_exhausted</td><td>True </td></tr><tr><td> load_data_from_existing_jobs</td><td>[] </td></tr><tr><td> n_estimators_randomforest</td><td>100 </td></tr><tr><td> external_generator</td><td>None </td></tr><tr><td> username</td><td>None </td></tr><tr><td> max_failed_jobs</td><td>None </td></tr><tr><td> num_parallel_jobs</td><td>20 </td></tr><tr><td> worker_timeout</td><td>120 </td></tr><tr><td> slurm_use_srun</td><td>False </td></tr><tr><td> time</td><td></td></tr><tr><td> partition</td><td></td></tr><tr><td> reservation</td><td>None </td></tr><tr><td> force_local_execution</td><td>False </td></tr><tr><td> slurm_signal_delay_s</td><td>0 </td></tr><tr><td> nodes_per_job</td><td>1 </td></tr><tr><td> cpus_per_task</td><td>1 </td></tr><tr><td> account</td><td>None </td></tr><tr><td> gpus</td><td>0 </td></tr><tr><td> run_mode</td><td>local </td></tr><tr><td> verbose</td><td>False </td></tr><tr><td> verbose_break_run_search_table</td><td>False </td></tr><tr><td> debug</td><td>False </td></tr><tr><td> no_sleep</td><td>False </td></tr><tr><td> tests</td><td>False </td></tr><tr><td> show_worker_percentage_table_at_end</td><td>False </td></tr><tr><td> auto_exclude_defective_hosts</td><td>False </td></tr><tr><td> run_tests_that_fail_on_taurus</td><td>False </td></tr><tr><td> raise_in_eval</td><td>False </td></tr><tr><td> show_ram_every_n_seconds</td><td>False </td></tr></tbody></table>
<h1> 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 »worker_usage.csv« as file</button>
<pre id="pre_tab_worker_usage">1746192497.1390488,20,0,0
1746192508.1151228,20,0,0
1746193549.63153,20,0,0
1746193550.354428,20,0,0
1746193553.0682056,20,1,5
1746193562.4585402,20,1,5
1746194344.2268054,20,1,5
1746194345.0275087,20,1,5
1746194347.0963242,20,2,10
1746194359.110299,20,2,10
1746195320.522616,20,2,10
1746195321.3620057,20,2,10
1746195323.6161456,20,3,15
1746195339.8996115,20,3,15
1746196229.998464,20,3,15
1746196230.768049,20,3,15
1746196232.7036195,20,4,20
1746196252.6305096,20,4,20
1746197029.6867552,20,4,20
1746197030.3198476,20,4,20
1746197032.4620328,20,5,25
1746197055.2476296,20,5,25
1746198060.2072937,20,5,25
1746198060.852312,20,5,25
1746198062.6546485,20,6,30
1746198089.9679706,20,6,30
1746199168.076319,20,6,30
1746199168.7942212,20,6,30
1746199170.6864681,20,7,35
1746199203.3468235,20,7,35
1746199872.780358,20,7,35
1746199873.5486987,20,7,35
1746199875.5460389,20,8,40
1746199901.27086,20,8,40
1746199914.72336,20,7,35
1746199914.8862956,20,7,35
1746200765.887179,20,7,35
1746200766.5679102,20,7,35
1746200768.652235,20,8,40
1746200804.9713783,20,7,35
1746201621.9068716,20,7,35
1746201622.637881,20,7,35
1746201624.6686075,20,8,40
1746201640.6397543,20,8,40
1746201668.6271534,20,7,35
1746201682.26695,20,6,30
1746201682.4387128,20,6,30
1746202414.820317,20,6,30
1746202415.5231512,20,6,30
1746202417.5721107,20,7,35
1746202449.9304082,20,7,35
1746203143.5294178,20,7,35
1746203144.3737235,20,7,35
1746203146.554151,20,8,40
1746203162.3349671,20,8,40
1746203200.590049,20,7,35
1746203200.7444339,20,7,35
1746203973.0096316,20,7,35
1746203973.554808,20,7,35
1746203975.5945172,20,8,40
1746203991.3568795,20,8,40
1746204020.7508688,20,7,35
1746204029.8318107,20,6,30
1746204029.9663951,20,6,30
1746205034.7518475,20,6,30
1746205035.4427378,20,6,30
1746205037.5121136,20,7,35
1746205053.4433165,20,7,35
1746205088.8990617,20,6,30
1746205089.0278594,20,6,30
1746206101.5621293,20,6,30
1746206102.3799102,20,6,30
1746206105.5194452,20,7,35
1746206121.381112,20,7,35
1746206149.712722,20,6,30
1746206158.7526267,20,5,25
1746206158.887892,20,5,25
1746207303.3881738,20,5,25
1746207304.3919263,20,5,25
1746207306.5030627,20,6,30
1746207322.2939174,20,6,30
1746207351.781846,20,5,25
1746207351.9378788,20,5,25
1746208198.6128252,20,5,25
1746208199.375554,20,5,25
1746208201.9883249,20,6,30
1746208229.2972422,20,6,30
1746209130.5651634,20,6,30
1746209131.3951738,20,6,30
1746209133.579336,20,7,35
1746209149.4814732,20,7,35
1746209184.070721,20,6,30
1746209184.2118928,20,6,30
1746210049.3265986,20,6,30
1746210050.2808948,20,6,30
1746210052.480716,20,7,35
1746210068.3437889,20,7,35
1746210092.3680248,20,6,30
1746210105.724735,20,5,25
1746210105.860187,20,5,25
1746210879.45887,20,5,25
1746210881.3525617,20,5,25
1746210883.529511,20,6,30
1746210899.3920002,20,6,30
1746210923.6165252,20,5,25
1746210933.0901396,20,4,20
1746210933.4069796,20,4,20
1746210956.5971556,20,4,20
1746210980.7860081,20,4,20
1746211006.1457577,20,4,20
1746211032.0665963,20,4,20
1746211056.4120817,20,4,20
1746211082.578948,20,4,20
1746211106.7872126,20,4,20
1746211130.8650784,20,4,20
1746211155.2903132,20,4,20
1746211179.6401222,20,4,20
1746211204.6519685,20,4,20
1746211230.55454,20,4,20
1746211255.4161482,20,4,20
1746211281.6676097,20,4,20
1746211306.4642525,20,4,20
1746211330.162415,20,4,20
1746211354.457018,20,4,20
1746211380.475783,20,4,20
1746211405.717963,20,4,20
1746211431.6389217,20,4,20
1746211456.8316677,20,4,20
1746211481.93099,20,4,20
1746211507.250647,20,4,20
1746211533.175142,20,4,20
1746211558.450031,20,4,20
1746211583.2672791,20,4,20
1746211606.6575184,20,4,20
1746211632.1978757,20,4,20
1746211656.674845,20,4,20
1746211682.0623639,20,4,20
1746211706.1182556,20,4,20
1746211730.8208876,20,4,20
1746211755.6285791,20,4,20
1746211778.761261,20,4,20
1746211802.2347,20,4,20
1746211825.8180287,20,4,20
1746211851.1083393,20,4,20
1746211878.0770435,20,4,20
1746211902.3196192,20,4,20
1746211928.3739607,20,4,20
1746211953.9573946,20,4,20
1746211977.7057552,20,4,20
1746212003.880949,20,4,20
1746212028.4840147,20,4,20
1746212054.465619,20,4,20
1746212078.9789422,20,4,20
1746212105.5619075,20,4,20
1746212129.5233963,20,4,20
1746212155.5136015,20,4,20
1746212180.9327796,20,4,20
1746212207.3175316,20,4,20
1746212232.0425336,20,4,20
1746212256.848915,20,4,20
1746212281.976488,20,4,20
1746212306.7233727,20,4,20
1746212333.4400468,20,4,20
1746212357.2033224,20,4,20
1746212381.747171,20,4,20
1746212407.7403781,20,4,20
1746212432.8929513,20,4,20
1746212456.3911397,20,4,20
1746212480.92456,20,4,20
1746212504.1831632,20,4,20
1746212526.9531677,20,4,20
1746212550.5675018,20,4,20
1746212575.636006,20,4,20
1746212601.3725476,20,4,20
1746212627.5523345,20,4,20
1746212653.2571223,20,4,20
1746212678.5875742,20,4,20
1746212702.3608851,20,3,15
1746212724.1866534,20,3,15
1746212744.8921924,20,3,15
1746212766.1158335,20,3,15
1746212788.154961,20,3,15
1746212811.2297976,20,3,15
1746212832.9703565,20,3,15
1746212854.3374615,20,3,15
1746212873.6528451,20,3,15
1746212895.7123353,20,3,15
1746212917.247972,20,3,15
1746212937.6261783,20,3,15
1746212957.260804,20,3,15
1746212977.151455,20,3,15
1746212996.560935,20,3,15
1746213016.6730905,20,3,15
1746213037.1786826,20,3,15
1746213057.2751634,20,3,15
1746213078.8136654,20,3,15
1746213100.344325,20,3,15
1746213121.3019042,20,3,15
1746213142.762392,20,3,15
1746213163.414369,20,3,15
1746213185.5705147,20,3,15
1746213206.5941448,20,3,15
1746213227.7134604,20,3,15
1746213249.9748716,20,3,15
1746213272.6795864,20,3,15
1746213293.363055,20,3,15
1746213314.453481,20,3,15
1746213336.727108,20,3,15
1746213358.0103402,20,3,15
1746213378.9944918,20,3,15
1746213401.0698307,20,3,15
1746213421.952161,20,3,15
1746213443.4709225,20,3,15
1746213464.238967,20,3,15
1746213484.6387308,20,3,15
1746213507.2572572,20,3,15
1746213528.7638755,20,3,15
1746213550.6784537,20,3,15
1746213572.197463,20,3,15
1746213593.746355,20,3,15
1746213615.0047054,20,3,15
1746213635.9048715,20,3,15
1746213655.7112658,20,3,15
1746213676.3017468,20,3,15
1746213697.6279523,20,3,15
1746213718.1058247,20,3,15
1746213740.4282813,20,3,15
1746213761.570168,20,3,15
1746213783.728522,20,3,15
1746213805.4943392,20,3,15
1746213826.5795672,20,3,15
1746213848.4645905,20,3,15
1746213870.1987033,20,3,15
1746213890.5998082,20,3,15
1746213912.5982893,20,3,15
1746213934.114106,20,3,15
1746213956.0964322,20,3,15
1746213976.5904496,20,3,15
1746213998.9745822,20,3,15
1746214019.7160287,20,3,15
1746214041.487389,20,3,15
1746214061.0496252,20,3,15
1746214083.1859975,20,3,15
1746214104.216021,20,3,15
1746214126.5544422,20,3,15
1746214147.578404,20,3,15
1746214168.9088793,20,3,15
1746214192.383827,20,3,15
1746214213.4272902,20,3,15
1746214234.1422873,20,3,15
1746214254.9038622,20,3,15
1746214275.586043,20,3,15
1746214296.2745707,20,3,15
1746214317.239754,20,3,15
1746214339.7973118,20,3,15
1746214360.3197863,20,3,15
1746214380.4460895,20,3,15
1746214399.1645443,20,3,15
1746214417.2616265,20,3,15
1746214436.3432906,20,3,15
1746214457.477208,20,3,15
1746214478.8830633,20,3,15
1746214501.0539424,20,3,15
1746214522.532268,20,3,15
1746214544.090349,20,3,15
1746214565.2585976,20,3,15
1746214586.408542,20,3,15
1746214608.486666,20,3,15
1746214629.8244016,20,3,15
1746214652.0835679,20,3,15
1746214676.5441592,20,3,15
1746214697.0389953,20,3,15
1746214717.2968404,20,3,15
1746214739.030229,20,3,15
1746214760.9166193,20,3,15
1746214784.530514,20,3,15
1746214804.4712567,20,3,15
1746214826.3752182,20,3,15
1746214848.0494523,20,3,15
1746214869.6930742,20,3,15
1746214891.200274,20,3,15
1746214912.711204,20,3,15
1746214934.4406989,20,3,15
1746214955.7678013,20,3,15
1746214977.468155,20,3,15
1746214999.7995179,20,3,15
1746215021.8920035,20,3,15
1746215041.9376807,20,3,15
1746215062.6901176,20,3,15
1746215084.8640406,20,3,15
1746215107.717574,20,2,10
1746215124.649896,20,2,10
1746215143.5864406,20,2,10
1746215160.8675067,20,2,10
1746215177.939522,20,2,10
1746215197.0588024,20,2,10
1746215214.1230347,20,2,10
1746215230.9835215,20,2,10
1746215249.5655954,20,2,10
1746215266.8541424,20,2,10
1746215283.918029,20,2,10
1746215301.1405034,20,2,10
1746215318.8794105,20,2,10
1746215336.1869357,20,2,10
1746215353.8542228,20,2,10
1746215370.102967,20,2,10
1746215386.657917,20,2,10
1746215404.1550226,20,2,10
1746215420.9464238,20,2,10
1746215437.9397242,20,2,10
1746215454.9551008,20,2,10
1746215472.4301074,20,2,10
1746215490.2903478,20,2,10
1746215508.744408,20,2,10
1746215526.2104092,20,2,10
1746215543.2978008,20,2,10
1746215559.4685276,20,2,10
1746215576.9245706,20,2,10
1746215594.1875613,20,2,10
1746215611.2231548,20,2,10
1746215627.6331947,20,2,10
1746215644.5567093,20,2,10
1746215662.4394994,20,2,10
1746215680.2021441,20,2,10
1746215698.430085,20,2,10
1746215716.3807476,20,1,5
1746215729.966397,20,1,5
1746215743.509008,20,1,5
1746215757.5264788,20,1,5
1746215770.4389637,20,1,5
1746215784.1795776,20,1,5
1746215797.9279518,20,1,5
1746215811.614466,20,1,5
1746215825.197315,20,1,5
1746215839.2645166,20,1,5
1746215852.1260934,20,1,5
1746215866.0515153,20,1,5
1746215879.8561623,20,1,5
1746215893.67542,20,1,5
1746215907.6169024,20,1,5
1746215920.5989351,20,1,5
1746215934.943082,20,1,5
1746215948.9678128,20,1,5
1746215961.8371046,20,1,5
1746215974.5535805,20,1,5
1746215987.9013348,20,1,5
1746216002.236518,20,1,5
1746216015.2503288,20,1,5
1746216029.3543425,20,1,5
1746216043.316433,20,1,5
1746216056.201981,20,1,5
1746216070.029214,20,1,5
1746216084.3702416,20,1,5
1746216098.293894,20,1,5
1746216112.405431,20,1,5
1746216125.3359027,20,1,5
1746216139.0399683,20,1,5
1746216152.6159813,20,1,5
1746216165.159983,20,1,5
1746216179.313862,20,1,5
1746216192.360366,20,1,5
1746216205.1921327,20,1,5
1746216218.475277,20,1,5
1746216231.3381066,20,1,5
1746216245.5606947,20,1,5
1746216258.6851666,20,1,5
1746216272.9181852,20,1,5
1746216286.087244,20,1,5
1746216300.3630142,20,1,5
1746216314.5867357,20,1,5
1746216327.680213,20,1,5
1746216341.9693286,20,1,5
1746216355.0130806,20,1,5
1746216368.3416643,20,1,5
1746216382.5660083,20,1,5
1746216396.605504,20,1,5
1746216409.654234,20,1,5
1746216422.6708355,20,1,5
1746216436.840705,20,1,5
1746216449.810405,20,1,5
1746216464.093285,20,1,5
1746216477.1756732,20,1,5
1746216490.9960396,20,1,5
1746216503.8834176,20,1,5
1746216518.1372736,20,1,5
1746216531.7067099,20,1,5
1746216546.1673288,20,1,5
1746216561.1361272,20,1,5
1746216573.66581,20,1,5
1746216587.6608026,20,1,5
1746216600.8432403,20,1,5
1746216613.9953196,20,1,5
1746216628.6644404,20,1,5
1746216641.8472176,20,1,5
1746216656.0313766,20,1,5
1746216669.1200469,20,1,5
1746216682.2529204,20,1,5
1746216696.7241197,20,1,5
1746216709.9282973,20,1,5
1746216724.4430027,20,1,5
1746216737.8628862,20,1,5
1746216750.9191568,20,1,5
1746216765.309068,20,1,5
1746216778.4053197,20,1,5
1746216790.4320605,20,1,5
1746216802.2095158,20,1,5
1746216814.3300667,20,1,5
1746216825.8980584,20,1,5
1746216837.3797128,20,1,5
1746216850.7430336,20,1,5
1746216863.0345166,20,1,5
1746216875.2030084,20,1,5
1746216888.1805925,20,1,5
1746216901.073534,20,1,5
1746216914.174952,20,1,5
1746216927.2792914,20,1,5
1746216941.43506,20,1,5
1746216954.720706,20,1,5
1746216968.2510777,20,1,5
1746216981.3303204,20,1,5
1746216995.8968656,20,1,5
1746217009.2682426,20,1,5
1746217021.827605,20,1,5
1746217034.6610935,20,1,5
1746217049.6713345,20,1,5
1746217062.9035826,20,1,5
1746217076.2567854,20,1,5
1746217089.7234185,20,1,5
1746217104.442434,20,1,5
1746217118.1710002,20,1,5
1746217131.6214383,20,1,5
1746217145.544548,20,1,5
1746217159.073736,20,1,5
1746217172.4295228,20,1,5
1746217187.1321273,20,1,5
1746217200.5601823,20,1,5
1746217213.857449,20,1,5
1746217227.330013,20,1,5
1746217240.8712022,20,1,5
1746217255.9274035,20,1,5
1746217269.2228587,20,1,5
1746217282.5201316,20,1,5
1746217295.9836445,20,1,5
1746217309.42135,20,1,5
1746217322.878309,20,1,5
1746217336.8859024,20,1,5
1746217349.735407,20,1,5
1746217363.0782206,20,1,5
1746217376.4789762,20,1,5
1746217390.0392902,20,1,5
1746217403.6482916,20,1,5
1746217417.1429996,20,1,5
1746217430.610535,20,1,5
1746217444.543824,20,1,5
1746217459.550692,20,1,5
1746217472.7536275,20,1,5
1746217486.0528567,20,1,5
1746217499.3023462,20,1,5
1746217513.0676231,20,1,5
1746217542.38771,20,0,0
1746218546.6971414,20,0,0
1746218547.326801,20,0,0
1746218550.042383,20,1,5
1746218558.9342983,20,1,5
1746219435.739914,20,1,5
1746219436.3340924,20,1,5
1746219438.363337,20,2,10
1746219449.8436697,20,2,10
1746220392.2135296,20,2,10
1746220392.980629,20,2,10
1746220394.9564881,20,3,15
1746220401.8589766,20,3,15
1746220414.7216706,20,2,10
1746220414.941457,20,2,10
1746221331.6628551,20,2,10
1746221332.3757362,20,2,10
1746221334.5285993,20,3,15
1746221339.3812077,20,3,15
1746221352.6682355,20,2,10
1746221352.7830188,20,2,10
1746222077.1624453,20,2,10
1746222077.7814944,20,2,10
1746222079.6408446,20,3,15
1746222095.3575845,20,3,15
1746222742.092332,20,3,15
1746222742.5527608,20,3,15
1746222744.3293386,20,4,20
1746222763.929217,20,4,20
1746223484.2018318,20,4,20
1746223484.728388,20,4,20
1746223486.4521642,20,5,25
1746223509.0949159,20,5,25
1746224363.9878433,20,5,25
1746224364.6538074,20,5,25
1746224366.6058064,20,6,30
1746224395.3264635,20,6,30
1746225233.689599,20,6,30
1746225234.1161134,20,6,30
1746225235.874105,20,7,35
1746225253.3180377,20,7,35
1746225264.85204,20,6,30
1746225264.968132,20,6,30
1746226427.4879887,20,6,30
1746226428.3365326,20,6,30
1746226430.4770038,20,7,35
1746226446.272656,20,7,35
1746226469.6301448,20,6,30
1746226483.390334,20,5,25
1746226483.5339906,20,5,25
1746227457.562784,20,5,25
1746227458.3107262,20,5,25
1746227460.4853082,20,6,30
1746227476.9877913,20,6,30
1746227487.3407521,20,5,25
1746227487.796647,20,5,25
1746228547.056752,20,5,25
1746228547.6924238,20,5,25
1746228549.433686,20,6,30
1746228567.1335328,20,6,30
1746228581.194658,20,5,25
1746228581.571232,20,4,20
1746229429.347761,20,4,20
1746229430.1946049,20,4,20
1746229432.1679063,20,5,25
1746229448.1876178,20,5,25
1746229463.1679025,20,4,20
1746229471.3521724,20,3,15
1746229481.1339316,20,2,10
1746229481.2870395,20,2,10
1746230694.6274927,20,2,10
1746230695.3761182,20,2,10
1746230697.604758,20,3,15
1746230713.48875,20,3,15
1746230735.2695906,20,2,10
1746230751.622276,20,1,5
1746230751.7675338,20,1,5
1746231620.6343668,20,1,5
1746231621.478677,20,1,5
1746231623.6000018,20,2,10
1746231635.90501,20,2,10
1746232551.7113364,20,2,10
1746232552.328511,20,2,10
1746232554.5308897,20,3,15
1746232570.8570144,20,3,15
1746233622.3264365,20,3,15
1746233623.2551737,20,3,15
1746233625.413376,20,4,20
1746233635.0926042,20,4,20
1746233647.9019074,20,3,15
1746233648.134986,20,3,15
1746234646.3533168,20,3,15
1746234647.3420722,20,3,15
1746234649.568334,20,4,20
1746234670.215296,20,4,20
1746235695.7199633,20,4,20
1746235696.3953278,20,4,20
1746235698.5452566,20,5,25
1746235725.3300307,20,5,25
1746236574.938896,20,5,25
1746236575.485262,20,5,25
1746236577.326023,20,6,30
1746236592.8215125,20,6,30
1746236607.3149457,20,5,25
1746236607.958596,20,5,25
1746236634.1741686,20,5,25
1746236662.456347,20,5,25
1746236692.8028464,20,5,25
1746236723.2283247,20,5,25
1746236753.6092517,20,5,25
1746236782.2903717,20,5,25
1746236808.613671,20,5,25
1746236835.2003903,20,5,25
1746236864.3355522,20,5,25
1746236894.902798,20,5,25
1746236925.0489652,20,5,25
1746236956.327665,20,5,25
1746236986.8960414,20,5,25
1746237014.2498207,20,5,25
1746237036.1715906,20,5,25
1746237046.200152,20,4,20
1746237046.536583,20,4,20
1746237073.0671527,20,4,20
1746237098.1045837,20,4,20
1746237123.5135658,20,4,20
1746237150.8409686,20,4,20
1746237176.6410513,20,4,20
1746237203.411784,20,4,20
1746237229.028827,20,4,20
1746237256.139211,20,4,20
1746237282.5122764,20,4,20
1746237309.6842697,20,4,20
1746237336.9516096,20,4,20
1746237362.7649505,20,4,20
1746237389.9882567,20,4,20
1746237416.0952668,20,4,20
1746237442.9942782,20,4,20
1746237469.5047235,20,4,20
1746237496.3391936,20,4,20
1746237522.6569963,20,4,20
1746237548.6075013,20,4,20
1746237574.6196237,20,4,20
1746237600.8168187,20,4,20
1746237626.8715274,20,4,20
1746237652.7864916,20,4,20
1746237679.5363429,20,4,20
1746237703.9249113,20,4,20
1746237727.7555838,20,4,20
1746237754.5391984,20,4,20
1746237780.9488888,20,4,20
1746237805.062371,20,4,20
1746237829.909541,20,4,20
1746237855.4359262,20,4,20
1746237881.5493646,20,4,20
1746237906.2830453,20,4,20
1746237931.9504366,20,4,20
1746237956.7411652,20,4,20
1746237980.4997745,20,4,20
1746238005.6655314,20,4,20
1746238033.1235938,20,4,20
1746238058.948664,20,4,20
1746238085.0509634,20,4,20
1746238111.6118498,20,4,20
1746238136.2186532,20,4,20
1746238160.9339192,20,4,20
1746238189.3588402,20,4,20
1746238217.0596297,20,4,20
1746238243.1701763,20,4,20
1746238269.8617826,20,4,20
1746238294.8919754,20,4,20
1746238322.2387822,20,3,15
1746238345.7828004,20,3,15
1746238367.4773157,20,3,15
1746238388.9938939,20,3,15
1746238412.1397095,20,3,15
1746238433.393893,20,3,15
1746238454.5652573,20,3,15
1746238476.040725,20,3,15
1746238497.8566542,20,3,15
1746238519.0001633,20,3,15
1746238540.1456823,20,3,15
1746238562.66832,20,3,15
1746238585.1764038,20,3,15
1746238607.2685015,20,3,15
1746238629.5421922,20,3,15
1746238653.1128628,20,3,15
1746238672.6537306,20,3,15
1746238691.1258547,20,3,15
1746238710.0956664,20,3,15
1746238732.6489067,20,3,15
1746238755.083812,20,3,15
1746238777.3050563,20,3,15
1746238799.3890827,20,3,15
1746238821.5393794,20,3,15
1746238844.617218,20,3,15
1746238866.4968998,20,3,15
1746238888.0311267,20,3,15
1746238910.3593986,20,2,10
1746238928.179894,20,2,10
1746238947.3677247,20,2,10
1746238964.8721025,20,2,10
1746238983.17529,20,2,10
1746238999.685918,20,2,10
1746239017.313122,20,2,10
1746239033.7384925,20,2,10
1746239052.4165173,20,2,10
1746239069.2946594,20,2,10
1746239087.6854777,20,2,10
1746239105.2117026,20,2,10
1746239123.7603364,20,2,10
1746239139.960472,20,2,10
1746239156.4411929,20,2,10
1746239175.4823694,20,2,10
1746239191.666623,20,2,10
1746239210.3343914,20,2,10
1746239226.6462128,20,2,10
1746239244.2399933,20,2,10
1746239263.3366835,20,2,10
1746239281.482624,20,2,10
1746239299.1449594,20,2,10
1746239318.7860138,20,2,10
1746239336.2870796,20,2,10
1746239354.0015311,20,2,10
1746239373.3883617,20,2,10
1746239390.8302531,20,2,10
1746239409.7430525,20,2,10
1746239426.7709968,20,2,10
1746239444.8514507,20,2,10
1746239462.2000444,20,2,10
1746239481.045887,20,2,10
1746239499.2558172,20,2,10
1746239517.0045776,20,2,10
1746239533.7918043,20,2,10
1746239551.2756188,20,2,10
1746239569.089922,20,2,10
1746239586.7572412,20,2,10
1746239604.6019447,20,2,10
1746239622.0368721,20,2,10
1746239639.684136,20,2,10
1746239657.5567641,20,2,10
1746239675.8833897,20,2,10
1746239694.0574539,20,2,10
1746239711.751304,20,2,10
1746239728.059489,20,2,10
1746239744.372422,20,2,10
1746239762.5312183,20,2,10
1746239780.040497,20,2,10
1746239798.703414,20,2,10
1746239816.0079339,20,2,10
1746239834.130628,20,2,10
1746239851.6189234,20,2,10
1746239869.5104613,20,2,10
1746239887.8176165,20,2,10
1746239906.0681074,20,2,10
1746239924.4917684,20,2,10
1746239941.9169302,20,2,10
1746239960.0199857,20,2,10
1746239978.0244105,20,2,10
1746239995.046513,20,2,10
1746240009.0846443,20,2,10
1746240023.7083974,20,2,10
1746240040.1769927,20,2,10
1746240056.5441992,20,2,10
1746240074.4958146,20,2,10
1746240092.7216792,20,2,10
1746240111.1815283,20,2,10
1746240128.8010597,20,2,10
1746240146.955371,20,2,10
1746240165.7378778,20,2,10
1746240183.2094257,20,2,10
1746240200.4868193,20,2,10
1746240216.8786066,20,2,10
1746240233.8961377,20,2,10
1746240251.5355031,20,2,10
1746240268.587938,20,2,10
1746240286.298965,20,2,10
1746240303.0868528,20,2,10
1746240320.5837736,20,2,10
1746240339.3156042,20,2,10
1746240357.8243773,20,2,10
1746240375.354039,20,2,10
1746240393.8730822,20,2,10
1746240412.0539987,20,2,10
1746240430.0230443,20,2,10
1746240447.1863265,20,2,10
1746240463.5254984,20,2,10
1746240480.4602675,20,2,10
1746240497.2594068,20,2,10
1746240515.2495217,20,2,10
1746240533.900466,20,2,10
1746240551.0713682,20,2,10
1746240568.7137225,20,2,10
1746240586.350425,20,2,10
1746240603.7160172,20,2,10
1746240621.1064858,20,2,10
1746240638.6231544,20,2,10
1746240657.3901238,20,2,10
1746240675.2415133,20,2,10
1746240692.8353872,20,2,10
1746240710.761672,20,2,10
1746240729.268485,20,2,10
1746240747.2053568,20,2,10
1746240765.1853883,20,2,10
1746240783.5211313,20,2,10
1746240800.75194,20,2,10
1746240817.3502464,20,2,10
1746240834.2510614,20,2,10
1746240852.1482027,20,2,10
1746240870.0861757,20,2,10
1746240887.520328,20,2,10
1746240905.8181736,20,2,10
1746240923.6238844,20,2,10
1746240941.891873,20,2,10
1746240959.9983397,20,2,10
1746240977.5054488,20,2,10
1746240995.6183422,20,2,10
1746241013.595576,20,2,10
1746241031.613361,20,2,10
1746241049.8254297,20,2,10
1746241067.957258,20,2,10
1746241084.3020883,20,2,10
1746241099.644288,20,2,10
1746241116.3683224,20,2,10
1746241133.9193182,20,2,10
1746241151.0644295,20,2,10
1746241167.0886307,20,2,10
1746241184.6889167,20,2,10
1746241202.7393801,20,2,10
1746241220.6157837,20,2,10
1746241237.208166,20,2,10
1746241254.9021108,20,2,10
1746241272.669659,20,2,10
1746241290.358391,20,2,10
1746241306.585792,20,2,10
1746241323.9487693,20,2,10
1746241344.614144,20,2,10
1746241358.0560322,20,1,5
1746241358.3177557,20,1,5
1746241371.5674078,20,1,5
1746241385.7837832,20,1,5
1746241399.5563605,20,1,5
1746241412.5727086,20,1,5
1746241424.8852763,20,1,5
1746241437.9986737,20,1,5
1746241452.8004336,20,1,5
1746241466.0487196,20,1,5
1746241480.0751119,20,1,5
1746241494.4139678,20,1,5
1746241508.1943314,20,1,5
1746241522.0902462,20,1,5
1746241535.4600844,20,1,5
1746241549.016703,20,1,5
1746241563.2129502,20,1,5
1746241577.084857,20,1,5
1746241590.9841862,20,1,5
1746241604.6510434,20,1,5
1746241619.8093529,20,1,5
1746241633.4306064,20,1,5
1746241647.2732944,20,1,5
1746241661.0349555,20,1,5
1746241674.529949,20,1,5
1746241687.412205,20,1,5
1746241700.769623,20,1,5
1746241714.049317,20,1,5
1746241727.5103917,20,1,5
1746241741.8171365,20,1,5
1746241755.6938598,20,1,5
1746241769.5576134,20,1,5
1746241783.459208,20,1,5
1746241797.3999827,20,1,5
1746241811.308233,20,1,5
1746241825.0586638,20,1,5
1746241839.413936,20,1,5
1746241852.5459282,20,1,5
1746241864.983816,20,1,5
1746241877.45484,20,1,5
1746241889.939467,20,1,5
1746241902.3013139,20,1,5
1746241914.584487,20,1,5
1746241927.2208016,20,1,5
1746241947.873576,20,1,5
1746241956.3388546,20,0,0
1746241969.1470318,20,0,0
1746242591.6924284,20,0,0
1746242592.1178231,20,0,0
1746242594.1997347,20,1,5
1746242601.3062387,20,1,5
1746243225.2681518,20,1,5
1746243225.8618398,20,1,5
1746243227.5539744,20,2,10
1746243228.5782511,20,2,10
1746243241.472081,20,1,5
1746243241.5797975,20,1,5
1746244027.141404,20,1,5
1746244027.743926,20,1,5
1746244029.62977,20,2,10
1746244040.7279239,20,2,10
1746244927.7123182,20,2,10
1746244928.311857,20,2,10
1746244930.4432566,20,3,15
1746244945.9079938,20,3,15
1746245649.6822665,20,3,15
1746245650.1980705,20,3,15
1746245652.2116046,20,4,20
1746245673.3778803,20,4,20
1746246396.6181407,20,4,20
1746246397.2388783,20,4,20
1746246399.2637665,20,5,25
1746246420.203687,20,5,25
1746247126.3344624,20,5,25
1746247127.150218,20,5,25
1746247129.1948123,20,6,30
1746247144.2709105,20,6,30
1746247156.1318552,20,5,25
1746247156.2573862,20,5,25
1746247959.9520283,20,5,25
1746247960.30018,20,5,25
1746247962.1005638,20,6,30
1746247979.1281564,20,6,30
1746247991.160529,20,5,25
1746247991.2993631,20,5,25
1746248883.8453653,20,5,25
1746248884.368939,20,5,25
1746248886.340149,20,6,30
1746248913.2569907,20,6,30
1746249900.0781791,20,6,30
1746249900.7437973,20,6,30
1746249902.6245792,20,7,35
1746249939.2554512,20,7,35
1746250896.5812576,20,7,35
1746250897.3418596,20,7,35
1746250899.529375,20,8,40
1746250915.3284519,20,8,40
1746250960.1146615,20,7,35
1746250960.24906,20,7,35
1746252125.3854609,20,7,35
1746252126.357177,20,7,35
1746252128.5321925,20,8,40
1746252144.449484,20,8,40
1746252189.3642693,20,7,35
1746252189.7899396,20,6,30
1746253091.7826314,20,6,30
1746253092.3866818,20,6,30
1746253094.4472566,20,7,35
1746253110.1516616,20,7,35
1746253146.7115834,20,6,30
1746253146.8376231,20,6,30
1746254177.841524,20,6,30
1746254178.4348555,20,6,30
1746254180.4189513,20,7,35
1746254212.8399704,20,7,35
1746255403.4458737,20,7,35
1746255404.40288,20,7,35
1746255406.5991962,20,8,40
1746255422.5923026,20,8,40
1746255453.3604534,20,7,35
1746255467.8361905,20,6,30
1746255468.0021682,20,6,30
1746256464.980096,20,6,30
1746256465.5958235,20,6,30
1746256467.4258533,20,7,35
1746256483.1843593,20,7,35
1746256512.0959015,20,6,30
1746256522.373067,20,5,25
1746256522.4803567,20,5,25
1746257713.392188,20,5,25
1746257714.3309865,20,5,25
1746257716.472391,20,6,30
1746257732.2470553,20,6,30
1746257765.1431282,20,5,25
1746257765.3087323,20,5,25
1746258470.1512563,20,5,25
1746258470.7535243,20,5,25
1746258472.62095,20,6,30
1746258488.3653233,20,6,30
1746258519.8002682,20,5,25
1746258519.947487,20,5,25
1746259391.5802343,20,5,25
1746259392.3255246,20,5,25
1746259394.4925592,20,6,30
1746259410.2704592,20,6,30
1746259443.1636286,20,5,25
1746259443.3188345,20,5,25
1746260387.260955,20,5,25
1746260387.9034274,20,5,25
1746260389.7258778,20,6,30
1746260405.4892344,20,6,30
1746260436.928868,20,5,25
1746260437.1664689,20,5,25
1746260460.6820521,20,5,25
1746260488.8383095,20,5,25
1746260516.8159266,20,5,25
1746260548.538777,20,5,25
1746260577.9209416,20,5,25
1746260607.1727653,20,5,25
1746260636.2462418,20,5,25
1746260666.5569465,20,5,25
1746260698.209907,20,5,25
1746260729.4534552,20,5,25
1746260759.6189904,20,5,25
1746260789.1871085,20,5,25
1746260818.3797944,20,5,25
1746260848.373201,20,5,25
1746260877.985824,20,5,25
1746260907.3459659,20,5,25
1746260936.1084764,20,5,25
1746260964.7261093,20,5,25
1746260994.2044592,20,5,25
1746261023.9667692,20,5,25
1746261053.350406,20,5,25
1746261083.6969066,20,5,25
1746261113.8681018,20,5,25
1746261142.8488626,20,5,25
1746261172.179653,20,5,25
1746261202.4133663,20,5,25
1746261232.8086247,20,5,25
1746261263.5173898,20,5,25
1746261295.2437155,20,5,25
1746261325.438199,20,5,25
1746261355.8272903,20,5,25
1746261386.1022468,20,5,25
1746261415.7357156,20,5,25
1746261444.2806628,20,5,25
1746261469.9171677,20,5,25
1746261497.4236276,20,5,25
1746261525.9166477,20,5,25
1746261555.6037505,20,5,25
1746261585.3459225,20,5,25
1746261614.460671,20,5,25
1746261645.4608657,20,5,25
1746261674.5670981,20,5,25
1746261703.6520326,20,5,25
1746261733.413521,20,5,25
1746261761.8592186,20,5,25
1746261792.2058985,20,5,25
1746261821.5687017,20,5,25
1746261850.4596593,20,5,25
1746261879.3847551,20,5,25
1746261909.4494267,20,5,25
1746261939.262427,20,5,25
1746261967.8089025,20,5,25
1746261995.529687,20,5,25
1746262024.1057856,20,5,25
1746262047.981162,20,5,25
1746262075.1074758,20,5,25
1746262106.5116966,20,5,25
1746262136.840551,20,5,25
1746262167.7111826,20,5,25
1746262197.9969668,20,5,25
1746262227.34302,20,5,25
1746262257.999277,20,5,25
1746262287.5707376,20,5,25
1746262317.4321651,20,5,25
1746262348.4321125,20,5,25
1746262378.408344,20,5,25
1746262409.5617762,20,5,25
1746262440.4228587,20,5,25
1746262466.616961,20,5,25
1746262494.348213,20,5,25
1746262523.69605,20,5,25
1746262555.4637027,20,5,25
1746262584.9347827,20,5,25
1746262613.4537783,20,5,25
1746262641.8365135,20,5,25
1746262669.988021,20,5,25
1746262698.452851,20,5,25
1746262728.3725772,20,5,25
1746262758.5891774,20,5,25
1746262787.8944192,20,5,25
1746262815.3595958,20,5,25
1746262843.612908,20,5,25
1746262864.3899791,20,5,25
1746262892.518838,20,4,20
1746262892.7981048,20,4,20
1746262918.5877702,20,4,20
1746262943.7742567,20,4,20
1746262967.7575788,20,4,20
1746262992.4104545,20,4,20
1746263018.3370225,20,4,20
1746263043.773464,20,4,20
1746263070.4023545,20,4,20
1746263096.0197477,20,4,20
1746263121.8021483,20,4,20
1746263148.5616164,20,4,20
1746263174.5847645,20,4,20
1746263199.865473,20,4,20
1746263223.0621195,20,4,20
1746263247.6503785,20,4,20
1746263272.282034,20,4,20
1746263298.8807106,20,4,20
1746263325.0325115,20,4,20
1746263351.202662,20,4,20
1746263376.4458811,20,4,20
1746263401.3042355,20,4,20
1746263427.2108564,20,4,20
1746263451.9886687,20,4,20
1746263476.9374666,20,4,20
1746263503.167995,20,4,20
1746263528.863039,20,4,20
1746263554.9351728,20,4,20
1746263580.8906934,20,4,20
1746263605.6729617,20,4,20
1746263631.9667447,20,4,20
1746263657.2742157,20,4,20
1746263684.0688362,20,4,20
1746263710.5626686,20,4,20
1746263738.660814,20,4,20
1746263765.7722785,20,4,20
1746263795.2842941,20,4,20
1746263822.2895775,20,4,20
1746263849.2455554,20,4,20
1746263876.1874907,20,4,20
1746263904.7295337,20,4,20
1746263930.2280486,20,4,20
1746263953.366343,20,4,20
1746263976.25767,20,4,20
1746263999.0884557,20,4,20
1746264024.9988084,20,4,20
1746264051.057277,20,4,20
1746264079.5243707,20,4,20
1746264106.811332,20,4,20
1746264133.4994907,20,4,20
1746264162.2068887,20,4,20
1746264190.2439651,20,4,20
1746264218.2742155,20,4,20
1746264245.9563208,20,4,20
1746264274.3453102,20,4,20
1746264301.8557546,20,4,20
1746264329.9132123,20,4,20
1746264356.902356,20,4,20
1746264382.7657695,20,4,20
1746264407.7511246,20,4,20
1746264433.501059,20,4,20
1746264458.986352,20,4,20
1746264484.801676,20,4,20
1746264512.6051388,20,4,20
1746264539.3114724,20,4,20
1746264568.0984385,20,4,20
1746264594.8069518,20,4,20
1746264623.6220524,20,4,20
1746264651.9918413,20,4,20
1746264678.6279685,20,4,20
1746264706.9710464,20,4,20
1746264733.837439,20,4,20
1746264762.0234482,20,4,20
1746264786.3554242,20,4,20
1746264813.6880171,20,4,20
1746264839.972313,20,4,20
1746264867.5928078,20,4,20
1746264893.2204573,20,4,20
1746264920.541617,20,4,20
1746264947.5150077,20,4,20
1746264974.13395,20,4,20
1746265003.4865978,20,4,20
1746265030.070406,20,4,20
1746265056.95406,20,4,20
1746265086.3954597,20,4,20
1746265113.2213802,20,4,20
1746265139.970842,20,4,20
1746265167.9502602,20,4,20
1746265195.5196164,20,4,20
1746265223.5252542,20,4,20
1746265250.7864406,20,4,20
1746265278.1045382,20,3,15
1746265300.1028597,20,3,15
1746265321.5811741,20,3,15
1746265344.018687,20,3,15
1746265365.5848794,20,3,15
1746265388.3554113,20,3,15
1746265411.7587104,20,3,15
1746265434.3165498,20,3,15
1746265457.388243,20,3,15
1746265480.616284,20,3,15
1746265504.2326474,20,3,15
1746265527.3539014,20,3,15
1746265550.4696243,20,3,15
1746265574.261371,20,3,15
1746265597.113421,20,3,15
1746265620.1219273,20,3,15
1746265643.1658688,20,3,15
1746265666.4492464,20,3,15
1746265690.3959286,20,3,15
1746265712.8965883,20,3,15
1746265736.4243612,20,3,15
1746265760.4010746,20,3,15
1746265782.530418,20,3,15
1746265804.5433173,20,3,15
1746265827.4527774,20,3,15
1746265850.0944982,20,3,15
1746265874.7294903,20,2,10
1746265892.3824875,20,2,10
1746265910.2474313,20,2,10
1746265927.798935,20,2,10
1746265946.7416062,20,2,10
1746265964.479315,20,2,10
1746265983.0338507,20,2,10
1746266001.476864,20,2,10
1746266020.686382,20,2,10
1746266038.7445962,20,2,10
1746266058.6672735,20,2,10
1746266077.3663826,20,2,10
1746266095.6983035,20,2,10
1746266115.3422453,20,2,10
1746266133.1635997,20,2,10
1746266149.6465352,20,2,10
1746266167.1575465,20,2,10
1746266183.3969216,20,2,10
1746266200.78972,20,2,10
1746266219.587956,20,2,10
1746266237.5879016,20,2,10
1746266255.8041744,20,2,10
1746266274.3991575,20,2,10
1746266293.2066584,20,2,10
1746266311.9337354,20,2,10
1746266329.0898318,20,2,10
1746266346.852982,20,2,10
1746266364.8729904,20,2,10
1746266383.2375374,20,2,10
1746266403.059204,20,2,10
1746266421.7885995,20,2,10
1746266440.5727124,20,2,10
1746266459.2561257,20,2,10
1746266477.7571704,20,2,10
1746266496.0904098,20,2,10
1746266514.4966912,20,2,10
1746266532.7391663,20,2,10
1746266552.824242,20,2,10
1746266571.6932895,20,2,10
1746266589.1449845,20,2,10
1746266608.98634,20,2,10
1746266628.2383475,20,2,10
1746266645.6202438,20,2,10
1746266664.4340737,20,2,10
1746266683.2913067,20,2,10
1746266702.9760308,20,2,10
1746266722.209246,20,2,10
1746266740.9062245,20,2,10
1746266759.7677855,20,2,10
1746266778.7017734,20,2,10
1746266797.2927573,20,2,10
1746266815.1937318,20,2,10
1746266833.0978003,20,2,10
1746266851.4409702,20,2,10
1746266868.4699903,20,2,10
1746266886.6501586,20,2,10
1746266905.8928547,20,2,10
1746266924.7485244,20,2,10
1746266943.9559941,20,2,10
1746266963.2980416,20,2,10
1746266980.9863791,20,2,10
1746267000.7804406,20,2,10
1746267020.1084847,20,2,10
1746267039.2537086,20,2,10
1746267058.5872114,20,2,10
1746267076.9224765,20,1,5
1746267090.9522374,20,1,5
1746267106.2671,20,1,5
1746267120.129262,20,1,5
1746267133.974191,20,1,5
1746267147.6300411,20,1,5
1746267161.987427,20,1,5
1746267176.2173636,20,1,5
1746267191.1381803,20,1,5
1746267207.2112687,20,1,5
1746267221.4607275,20,1,5
1746267235.775349,20,1,5
1746267250.1718822,20,1,5
1746267264.8732991,20,1,5
1746267279.4072578,20,1,5
1746267293.6536016,20,1,5
1746267307.8605735,20,1,5
1746267322.0085392,20,1,5
1746267335.4339,20,1,5
1746267349.9407198,20,1,5
1746267363.3540072,20,1,5
1746267377.3300521,20,1,5
1746267391.3356683,20,1,5
1746267405.211298,20,1,5
1746267419.0886002,20,1,5
1746267433.579678,20,1,5
1746267447.9836786,20,1,5
1746267462.3612366,20,1,5
1746267476.6703923,20,1,5
1746267490.9570558,20,1,5
1746267505.1532555,20,1,5
1746267519.416011,20,1,5
1746267535.285561,20,1,5
1746267549.5968218,20,1,5
1746267564.0572488,20,1,5
1746267578.7875154,20,1,5
1746267593.2571738,20,1,5
1746267607.1089485,20,1,5
1746267620.956391,20,1,5
1746267634.7305841,20,1,5
1746267649.3602965,20,1,5
1746267663.5058246,20,1,5
1746267693.2078183,20,0,0
1746268610.096208,20,0,0
1746268610.6866086,20,0,0
1746268613.0488243,20,1,5
1746268622.7744617,20,1,5
1746269832.6451333,20,1,5
1746269833.4308045,20,1,5
1746269835.561087,20,2,10
1746269850.3001883,20,2,10
1746270862.8902647,20,2,10
1746270863.5524976,20,2,10
1746270865.504331,20,3,15
1746270870.6689487,20,3,15
1746270885.7559729,20,2,10
1746270885.892926,20,2,10
1746272323.4779985,20,2,10
1746272324.4225998,20,2,10
1746272327.5687063,20,3,15
1746272334.5985696,20,3,15
1746272348.229136,20,2,10
1746272348.4386575,20,2,10
1746273752.9498155,20,2,10
1746273753.7102704,20,2,10
1746273755.7449472,20,3,15
1746273774.9787538,20,3,15
1746274883.9019914,20,3,15
1746274884.6131516,20,3,15
1746274886.5418947,20,4,20
1746274897.491879,20,4,20
1746274912.8726413,20,3,15
1746274912.982875,20,3,15
1746276019.6731598,20,3,15
1746276020.3498504,20,3,15
1746276022.4454563,20,4,20
1746276038.5006518,20,4,20
1746276064.0018482,20,3,15
1746276064.1514533,20,3,15
1746277138.0722399,20,3,15
1746277138.814683,20,3,15
1746277140.7294564,20,4,20
1746277151.6374733,20,4,20
1746277165.6070237,20,3,15
1746277165.8980265,20,3,15
1746278297.9359646,20,3,15
1746278298.6776147,20,3,15
1746278300.7013688,20,4,20
1746278325.0904303,20,4,20
1746279270.7752607,20,4,20
1746279271.3449874,20,4,20
1746279273.4577975,20,5,25
1746279299.2175593,20,5,25
1746280085.9705546,20,5,25
1746280086.6510086,20,5,25
1746280088.549834,20,6,30
1746280104.4665847,20,6,30
1746280126.873796,20,5,25
1746280135.0212183,20,4,20
1746280146.0655587,20,3,15
1746280146.2596,20,3,15
1746281210.4161055,20,3,15
1746281211.4068186,20,3,15
1746281213.5045662,20,4,20
1746281236.1581304,20,4,20
1746282088.800001,20,4,20
1746282089.4316733,20,4,20
1746282091.4308474,20,5,25
1746282116.8714223,20,5,25
1746283140.5734925,20,5,25
1746283141.3580537,20,5,25
1746283143.5027294,20,6,30
1746283159.430942,20,6,30
1746283195.820625,20,5,25
1746283195.9484935,20,5,25
1746284164.6621025,20,5,25
1746284165.428571,20,5,25
1746284167.5199378,20,6,30
1746284187.8832724,20,6,30
1746284202.0644374,20,5,25
1746284202.3161554,20,5,25
1746285146.0906315,20,5,25
1746285146.7980263,20,5,25
1746285148.6939852,20,6,30
1746285164.6425276,20,6,30
1746285201.514061,20,5,25
1746285201.662085,20,5,25
1746286125.39893,20,5,25
1746286126.10328,20,5,25
1746286128.1488497,20,6,30
1746286144.0754657,20,6,30
1746286174.713045,20,5,25
1746286174.8725116,20,5,25
1746287108.1864629,20,5,25
1746287108.9059594,20,5,25
1746287110.8599484,20,6,30
1746287142.8979402,20,6,30
1746287938.5974224,20,6,30
1746287939.4877107,20,6,30
1746287941.6011953,20,7,35
1746287967.0499432,20,7,35
1746287982.573122,20,6,30
1746287982.8695126,20,6,30
1746288898.389225,20,6,30
1746288899.3610518,20,6,30
1746288901.5689766,20,7,35
1746288917.4806945,20,7,35
1746288956.3627303,20,6,30
1746288956.7542825,20,6,30
1746288990.435988,20,6,30
1746289026.3234181,20,6,30
1746289063.0708892,20,6,30
1746289099.9692473,20,6,30
1746289135.7594607,20,6,30
1746289173.871383,20,6,30
1746289211.4093542,20,6,30
1746289249.2372115,20,6,30
1746289285.3970244,20,6,30
1746289322.0903432,20,6,30
1746289358.8100357,20,6,30
1746289397.3362374,20,6,30
1746289433.9853404,20,6,30
1746289470.8365662,20,6,30
1746289507.788436,20,6,30
1746289543.9676273,20,6,30
1746289578.0594623,20,5,25
1746289609.6335528,20,5,25
1746289642.0607247,20,5,25
1746289672.8603895,20,5,25
1746289705.0137486,20,5,25
1746289736.4785993,20,5,25
1746289769.946544,20,5,25
1746289801.7751467,20,5,25
1746289835.7980392,20,5,25
1746289867.7491903,20,5,25
1746289900.0784388,20,5,25
1746289933.810526,20,5,25
1746289967.3723693,20,5,25
1746289999.6416068,20,5,25
1746290032.2234895,20,5,25
1746290064.3845916,20,5,25
1746290096.0757055,20,5,25
1746290128.4629674,20,5,25
1746290161.5923347,20,5,25
1746290194.4725654,20,5,25
1746290227.4814594,20,5,25
1746290259.0338938,20,5,25
1746290289.3539479,20,5,25
1746290321.5038426,20,5,25
1746290354.0863307,20,5,25
1746290386.161501,20,5,25
1746290419.648103,20,5,25
1746290452.0145774,20,5,25
1746290485.4352343,20,5,25
1746290518.4153247,20,5,25
1746290550.797397,20,5,25
1746290583.1979628,20,5,25
1746290615.9824238,20,5,25
1746290647.86445,20,5,25
1746290679.6122353,20,5,25
1746290712.2554867,20,5,25
1746290743.7611415,20,5,25
1746290776.3177805,20,5,25
1746290808.6416292,20,5,25
1746290843.4012764,20,5,25
1746290876.9292028,20,5,25
1746290909.9811203,20,5,25
1746290943.1223974,20,5,25
1746290976.3655784,20,5,25
1746291009.6002555,20,5,25
1746291042.799408,20,5,25
1746291076.2884667,20,5,25
1746291109.0273788,20,5,25
1746291141.9481335,20,5,25
1746291174.278491,20,5,25
1746291204.719063,20,5,25
1746291236.0132434,20,5,25
1746291269.1225355,20,5,25
1746291302.8381546,20,5,25
1746291336.0646715,20,5,25
1746291369.3388686,20,5,25
1746291402.9956996,20,5,25
1746291436.127329,20,5,25
1746291469.6211293,20,5,25
1746291502.1742547,20,5,25
1746291534.8129907,20,5,25
1746291567.46379,20,5,25
1746291599.4379144,20,5,25
1746291631.1854086,20,5,25
1746291662.407989,20,5,25
1746291695.406089,20,5,25
1746291727.5170445,20,5,25
1746291761.533994,20,5,25
1746291794.150393,20,5,25
1746291825.6177962,20,5,25
1746291854.920899,20,5,25
1746291886.0885036,20,5,25
1746291917.5238404,20,5,25
1746291948.5359309,20,5,25
1746291978.0584025,20,4,20
1746292003.7093523,20,4,20
1746292029.4011178,20,4,20
1746292055.6278481,20,4,20
1746292082.29854,20,4,20
1746292109.383142,20,4,20
1746292137.977211,20,4,20
1746292166.5119765,20,4,20
1746292194.3434782,20,4,20
1746292223.454222,20,4,20
1746292251.9579625,20,4,20
1746292279.7415054,20,4,20
1746292307.8541248,20,4,20
1746292336.3203626,20,4,20
1746292365.255438,20,4,20
1746292393.7279668,20,4,20
1746292422.3662906,20,4,20
1746292451.8635743,20,4,20
1746292479.530657,20,4,20
1746292508.422949,20,4,20
1746292537.0034616,20,4,20
1746292564.5164926,20,4,20
1746292585.315905,20,4,20
1746292611.0424075,20,3,15
1746292611.3561075,20,3,15
1746292635.6381752,20,3,15
1746292658.252808,20,3,15
1746292680.2864242,20,3,15
1746292703.2757921,20,3,15
1746292724.9995267,20,3,15
1746292747.757702,20,3,15
1746292772.3173776,20,3,15
1746292796.704569,20,3,15
1746292819.6799285,20,3,15
1746292844.2735317,20,3,15
1746292868.5973883,20,3,15
1746292891.4005558,20,3,15
1746292915.5000582,20,3,15
1746292937.9927573,20,3,15
1746292962.4529135,20,3,15
1746292986.961769,20,3,15
1746293010.0112414,20,3,15
1746293034.589665,20,3,15
1746293057.9113643,20,3,15
1746293082.2384071,20,3,15
1746293105.0422895,20,3,15
1746293129.2665133,20,3,15
1746293152.0259297,20,3,15
1746293177.550302,20,3,15
1746293200.942175,20,3,15
1746293224.1481311,20,3,15
1746293249.2395606,20,3,15
1746293272.378282,20,3,15
1746293295.032083,20,3,15
1746293318.4599838,20,3,15
1746293340.7279177,20,3,15
1746293363.8409948,20,3,15
1746293388.9553456,20,3,15
1746293412.3476975,20,3,15
1746293435.6555264,20,3,15
1746293459.5934443,20,3,15
1746293483.3069108,20,3,15
1746293504.7349105,20,3,15
1746293527.0998871,20,3,15
1746293549.6059825,20,3,15
1746293572.7617385,20,3,15
1746293596.792581,20,3,15
1746293620.3108206,20,3,15
1746293643.8008938,20,3,15
1746293667.4399405,20,3,15
1746293691.3561523,20,3,15
1746293714.8039336,20,3,15
1746293737.9074337,20,3,15
1746293761.557027,20,3,15
1746293784.6266103,20,2,10
1746293803.8887386,20,2,10
1746293821.4702306,20,2,10
1746293841.279855,20,2,10
1746293858.8551753,20,2,10
1746293877.7499886,20,2,10
1746293895.387716,20,2,10
1746293914.8618279,20,2,10
1746293932.6818924,20,2,10
1746293952.4709396,20,2,10
1746293970.164311,20,2,10
1746293989.3793366,20,2,10
1746294007.159763,20,2,10
1746294026.7295604,20,2,10
1746294044.7072113,20,2,10
1746294064.3019493,20,2,10
1746294082.038699,20,2,10
1746294101.396131,20,2,10
1746294119.140054,20,2,10
1746294139.5737944,20,2,10
1746294157.659124,20,2,10
1746294177.3353057,20,2,10
1746294195.019216,20,2,10
1746294213.5160842,20,2,10
1746294230.0132155,20,2,10
1746294248.2712188,20,2,10
1746294264.9794068,20,2,10
1746294281.4430602,20,2,10
1746294301.0075982,20,2,10
1746294318.9473305,20,2,10
1746294338.432713,20,2,10
1746294355.278145,20,2,10
1746294373.0090668,20,2,10
1746294390.0000722,20,2,10
1746294406.7903974,20,2,10
1746294424.755863,20,2,10
1746294442.784232,20,2,10
1746294461.5506868,20,2,10
1746294479.8847103,20,2,10
1746294499.2053132,20,2,10
1746294517.4002616,20,2,10
1746294535.3900113,20,2,10
1746294554.3751903,20,2,10
1746294573.0373156,20,2,10
1746294591.6008878,20,2,10
1746294609.9178708,20,2,10
1746294628.6520824,20,2,10
1746294647.1463926,20,2,10
1746294665.2763317,20,2,10
1746294682.8683789,20,2,10
1746294700.0495596,20,2,10
1746294717.1170828,20,2,10
1746294734.0382922,20,2,10
1746294751.0207605,20,2,10
1746294769.3075118,20,2,10
1746294787.7605617,20,2,10
1746294806.5135288,20,2,10
1746294825.1329484,20,2,10
1746294843.6323726,20,2,10
1746294861.6869564,20,2,10
1746294879.9967978,20,2,10
1746294898.0753112,20,2,10
1746294916.1090074,20,2,10
1746294934.9271665,20,2,10
1746294953.2078123,20,2,10
1746294972.454857,20,2,10
1746294991.635904,20,2,10
1746295009.800985,20,2,10
1746295028.0930004,20,2,10
1746295045.601417,20,2,10
1746295064.786769,20,2,10
1746295083.8251562,20,2,10
1746295101.9648387,20,2,10
1746295120.600013,20,2,10
1746295139.8605213,20,2,10
1746295158.1961048,20,2,10
1746295177.5900524,20,2,10
1746295195.9878058,20,2,10
1746295215.0480368,20,2,10
1746295233.059488,20,2,10
1746295252.062143,20,2,10
1746295270.465948,20,2,10
1746295289.3951643,20,2,10
1746295307.3001585,20,2,10
1746295325.6193607,20,2,10
1746295344.315523,20,2,10
1746295361.65033,20,2,10
1746295379.0068083,20,2,10
1746295397.1428025,20,2,10
1746295414.267818,20,2,10
1746295431.2707195,20,2,10
1746295449.5320253,20,2,10
1746295467.1334379,20,2,10
1746295485.4059305,20,2,10
1746295504.9086761,20,2,10
1746295523.4960935,20,2,10
1746295541.3017828,20,2,10
1746295559.7633154,20,2,10
1746295577.8255165,20,2,10
1746295596.8466702,20,1,5
1746295610.4500113,20,1,5
1746295625.1713622,20,1,5
1746295638.9724884,20,1,5
1746295652.754078,20,1,5
1746295667.7061164,20,1,5
1746295681.5987732,20,1,5
1746295696.2722743,20,1,5
1746295709.7955477,20,1,5
1746295723.378381,20,1,5
1746295738.0532203,20,1,5
1746295751.7036006,20,1,5
1746295766.880263,20,1,5
1746295780.128084,20,1,5
1746295793.3320165,20,1,5
1746295807.282441,20,1,5
1746295820.396237,20,1,5
1746295833.9535275,20,1,5
1746295848.9742925,20,1,5
1746295862.5758088,20,1,5
1746295876.4421463,20,1,5
1746295891.4460514,20,1,5
1746295905.2522867,20,1,5
1746295919.0144446,20,1,5
1746295933.8353295,20,1,5
1746295947.4964943,20,1,5
1746295961.4356587,20,1,5
1746295976.3870187,20,1,5
1746295990.3486657,20,1,5
1746296004.369212,20,1,5
1746296018.3394248,20,1,5
1746296034.1264908,20,1,5
1746296047.9583936,20,1,5
1746296061.7803202,20,1,5
1746296076.756292,20,1,5
1746296090.6574008,20,1,5
1746296104.379282,20,1,5
1746296118.2018707,20,1,5
1746296131.9638891,20,1,5
1746296145.1912782,20,1,5
1746296157.946525,20,1,5
1746296171.0535262,20,1,5
1746296186.5625553,20,1,5
1746296219.0428329,20,0,0
1746297084.0441654,20,0,0
1746297084.507904,20,0,0
1746297086.7056088,20,1,5
1746297095.357771,20,1,5
1746297768.7915983,20,1,5
1746297769.5307856,20,1,5
1746297771.502422,20,2,10
1746297785.1860213,20,2,10
1746298392.6497264,20,2,10
1746298393.2926831,20,2,10
1746298395.5092528,20,3,15
1746298400.7483075,20,3,15
1746298415.6850266,20,2,10
1746298415.8188279,20,2,10
1746299417.5302546,20,2,10
1746299418.3288686,20,2,10
1746299420.4427342,20,3,15
1746299438.106304,20,3,15
1746300359.9469247,20,3,15
1746300360.5529516,20,3,15
1746300363.776815,20,4,20
1746300386.4330826,20,4,20
1746300973.6083908,20,4,20
1746300974.181692,20,4,20
1746300976.1466992,20,5,25
1746300998.4772856,20,5,25
1746301577.5585668,20,5,25
1746301578.2345524,20,5,25
1746301580.20294,20,6,30
1746301608.879508,20,6,30
1746302445.9092498,20,6,30
1746302446.5814636,20,6,30
1746302448.4441457,20,7,35
1746302470.6080534,20,7,35
1746302482.9376183,20,6,30
1746302483.0603888,20,6,30
1746303396.7601047,20,6,30
1746303397.163535,20,6,30
1746303399.1329832,20,7,35
1746303431.4032936,20,7,35
1746304255.3123887,20,7,35
1746304256.084115,20,7,35
1746304258.1958263,20,8,40
1746304295.7786071,20,8,40
1746305068.7077835,20,8,40
1746305069.1723816,20,8,40
1746305071.1671112,20,9,45
1746305087.2201023,20,9,45
1746305118.4002318,20,8,40
1746305125.234865,20,7,35
1746305134.7382207,20,6,30
1746305134.8428621,20,6,30
1746306092.524104,20,6,30
1746306093.2052078,20,6,30
1746306095.108946,20,7,35
1746306110.7284746,20,7,35
1746306142.5698175,20,6,30
1746306142.6910148,20,6,30
1746306754.3337882,20,6,30
1746306754.8766682,20,6,30
1746306756.3683853,20,7,35
1746306772.0562112,20,7,35
1746306804.139207,20,6,30
1746306804.4658144,20,6,30
1746307690.2609084,20,6,30
1746307690.813588,20,6,30
1746307692.5809197,20,7,35
1746307708.2156258,20,7,35
1746307743.0569346,20,6,30
1746307743.1582646,20,6,30
1746308635.4800751,20,6,30
1746308636.4165144,20,6,30
1746308638.6097019,20,7,35
1746308654.654703,20,7,35
1746308683.6414328,20,6,30
1746308692.3349319,20,5,25
1746308703.2199194,20,4,20
1746308703.3996944,20,4,20
1746309667.6802928,20,4,20
1746309668.426465,20,4,20
1746309670.5524366,20,5,25
1746309700.8499207,20,4,20
1746310603.630843,20,4,20
1746310604.3618104,20,4,20
1746310606.4516137,20,5,25
1746310622.3357778,20,5,25
1746310655.9551623,20,4,20
1746310656.1120157,20,4,20
1746311664.9356992,20,4,20
1746311665.5579655,20,4,20
1746311667.4570088,20,5,25
1746311695.347851,20,5,25
1746312561.6686618,20,5,25
1746312562.343477,20,5,25
1746312564.4705298,20,6,30
1746312584.3125875,20,6,30
1746312597.5361152,20,5,25
1746312597.8840566,20,5,25
1746313573.1005466,20,5,25
1746313573.873674,20,5,25
1746313575.8794115,20,6,30
1746313591.7212846,20,6,30
1746313623.861109,20,5,25
1746313623.978153,20,5,25
1746313649.585361,20,5,25
1746313682.8270378,20,5,25
1746313708.4332902,20,5,25
1746313719.4863904,20,4,20
1746313719.8741665,20,4,20
1746313747.9137795,20,4,20
1746313778.258232,20,4,20
1746313805.9999757,20,4,20
1746313835.8517432,20,4,20
1746313864.0429504,20,4,20
1746313892.5480983,20,4,20
1746313923.625119,20,4,20
1746313953.6639156,20,4,20
1746313981.7794585,20,4,20
1746314010.5100963,20,4,20
1746314039.1717103,20,4,20
1746314067.659448,20,4,20
1746314096.3139203,20,4,20
1746314124.6417477,20,4,20
1746314153.018116,20,4,20
1746314181.5692906,20,4,20
1746314210.6875346,20,4,20
1746314239.7115948,20,3,15
1746314264.8354275,20,3,15
1746314288.8324265,20,3,15
1746314312.796819,20,3,15
1746314337.007367,20,3,15
1746314360.7105708,20,3,15
1746314384.1861806,20,3,15
1746314407.9715497,20,3,15
1746314431.9475064,20,3,15
1746314456.2006629,20,3,15
1746314480.7730875,20,3,15
1746314505.149211,20,3,15
1746314529.9661312,20,3,15
1746314552.1721172,20,3,15
1746314574.689594,20,3,15
1746314598.4214911,20,3,15
1746314621.858006,20,3,15
1746314645.9748354,20,3,15
1746314669.0465894,20,3,15
1746314692.948954,20,3,15
1746314716.96722,20,3,15
1746314742.6146061,20,3,15
1746314766.700349,20,3,15
1746314791.5377166,20,3,15
1746314815.717478,20,3,15
1746314840.47332,20,3,15
1746314864.0817106,20,3,15
1746314889.000848,20,3,15
1746314912.7536254,20,3,15
1746314936.3825054,20,3,15
1746314961.0200443,20,3,15
1746314986.5279214,20,3,15
1746315010.6307836,20,3,15
1746315035.2405868,20,3,15
1746315059.5820947,20,3,15
1746315084.0780506,20,3,15
1746315108.6259725,20,3,15
1746315133.3461983,20,3,15
1746315158.1279314,20,3,15
1746315182.7099903,20,3,15
1746315207.338235,20,3,15
1746315231.9077504,20,3,15
1746315255.3857605,20,3,15
1746315279.8422422,20,3,15
1746315304.4600463,20,3,15
1746315329.4575255,20,3,15
1746315354.2671335,20,3,15
1746315378.2980309,20,3,15
1746315403.0032177,20,3,15
1746315426.9933558,20,3,15
1746315450.1285415,20,3,15
1746315471.754319,20,3,15
1746315495.407691,20,3,15
1746315519.7687008,20,3,15
1746315542.554336,20,3,15
1746315566.558439,20,3,15
1746315589.857792,20,3,15
1746315613.7441838,20,3,15
1746315635.4298394,20,3,15
1746315660.912952,20,3,15
1746315684.2640858,20,3,15
1746315708.8752236,20,3,15
1746315732.083669,20,3,15
1746315756.8964489,20,3,15
1746315779.7280068,20,3,15
1746315804.4258406,20,3,15
1746315827.2200358,20,3,15
1746315850.0245512,20,3,15
1746315875.6542494,20,3,15
1746315899.2405245,20,3,15
1746315922.8219755,20,3,15
1746315948.5560193,20,3,15
1746315972.3364666,20,3,15
1746315996.0102937,20,3,15
1746316021.1371164,20,3,15
1746316045.07084,20,3,15
1746316069.2369492,20,3,15
1746316093.01947,20,3,15
1746316116.9160156,20,3,15
1746316142.731301,20,3,15
1746316167.1990645,20,3,15
1746316191.1603158,20,3,15
1746316215.337595,20,3,15
1746316239.4223475,20,3,15
1746316265.5863283,20,3,15
1746316290.0261378,20,3,15
1746316312.763871,20,3,15
1746316335.4879055,20,3,15
1746316359.38655,20,3,15
1746316382.9922068,20,3,15
1746316406.5254655,20,3,15
1746316430.0685215,20,3,15
1746316454.5056562,20,3,15
1746316481.1400702,20,3,15
1746316505.9935546,20,3,15
1746316530.253775,20,3,15
1746316554.5525224,20,3,15
1746316578.956926,20,3,15
1746316603.003581,20,3,15
1746316626.9074836,20,3,15
1746316652.067163,20,3,15
1746316675.9720693,20,3,15
1746316700.4859893,20,3,15
1746316724.7735565,20,3,15
1746316749.3089926,20,3,15
1746316774.3120987,20,3,15
1746316798.9415143,20,3,15
1746316823.292921,20,3,15
1746316848.0903623,20,3,15
1746316872.8968246,20,3,15
1746316895.895912,20,3,15
1746316922.8966932,20,3,15
1746316947.191548,20,3,15
1746316972.032077,20,3,15
1746316996.8271325,20,3,15
1746317020.285063,20,3,15
1746317044.4510832,20,3,15
1746317068.7232208,20,3,15
1746317092.1679378,20,3,15
1746317116.5084429,20,3,15
1746317141.283076,20,3,15
1746317164.8578732,20,3,15
1746317189.4474254,20,3,15
1746317214.144422,20,3,15
1746317238.4121587,20,3,15
1746317263.8394973,20,2,10
1746317283.3443935,20,2,10
1746317302.2544022,20,2,10
1746317320.895716,20,2,10
1746317340.2061203,20,2,10
1746317359.2063093,20,2,10
1746317378.5376003,20,2,10
1746317398.077336,20,2,10
1746317418.3944037,20,2,10
1746317437.5098717,20,2,10
1746317455.0362203,20,2,10
1746317472.0223854,20,2,10
1746317490.212739,20,2,10
1746317508.911996,20,2,10
1746317528.0375102,20,2,10
1746317547.2970638,20,2,10
1746317567.1791792,20,2,10
1746317587.1709478,20,2,10
1746317607.2473476,20,2,10
1746317626.4920905,20,2,10
1746317646.5609875,20,2,10
1746317666.5982418,20,2,10
1746317685.6904597,20,2,10
1746317705.872118,20,2,10
1746317725.8713865,20,2,10
1746317744.8942623,20,2,10
1746317764.913779,20,2,10
1746317785.1650474,20,2,10
1746317804.395117,20,2,10
1746317824.6972132,20,2,10
1746317844.0001469,20,2,10
1746317864.5718246,20,1,5
1746317878.8316517,20,1,5
1746317894.0251157,20,1,5
1746317909.384601,20,1,5
1746317923.855209,20,1,5
1746317939.215255,20,1,5
1746317954.5286849,20,1,5
1746317968.7502377,20,1,5
1746317984.083529,20,1,5
1746317999.5042257,20,1,5
1746318013.7651432,20,1,5
1746318029.2514744,20,1,5
1746318043.943997,20,1,5
1746318059.72762,20,1,5
1746318074.0937269,20,1,5
1746318089.5883808,20,1,5
1746318105.0792522,20,1,5
1746318119.442689,20,1,5
1746318135.3010206,20,1,5
1746318149.820735,20,1,5
1746318165.5006638,20,1,5
1746318179.9356196,20,1,5
1746318195.507021,20,1,5
1746318209.9193118,20,1,5
1746318225.6288967,20,1,5
1746318240.2035916,20,1,5
1746318256.2579563,20,1,5
1746318270.846345,20,1,5
1746318286.3953316,20,1,5
1746318300.526128,20,1,5
1746318316.0992186,20,1,5
1746318330.4254086,20,1,5
1746318346.1931584,20,1,5
1746318360.50772,20,1,5
1746318375.9516525,20,1,5
1746318390.0273044,20,1,5
1746318404.0529125,20,1,5
1746318419.6367283,20,1,5
1746318434.0195367,20,1,5
1746318449.7718732,20,1,5
1746318464.3215916,20,1,5
1746318480.6302643,20,1,5
1746318495.2305512,20,1,5
1746318509.5839434,20,1,5
1746318525.5312712,20,1,5
1746318539.9660895,20,1,5
1746318555.786359,20,1,5
1746318570.5334995,20,1,5
1746318585.0234764,20,1,5
1746318600.233115,20,1,5
1746318613.8113284,20,1,5
1746318627.7404752,20,1,5
1746318642.693897,20,1,5
1746318656.9942338,20,1,5
1746318672.6689956,20,1,5
1746318687.2550266,20,1,5
1746318701.6212108,20,1,5
1746318715.8188226,20,1,5
1746318731.2300515,20,1,5
1746318745.3741548,20,1,5
1746318759.8749435,20,1,5
1746318775.983742,20,1,5
1746318790.2416468,20,1,5
1746318804.4399064,20,1,5
1746318820.0613203,20,1,5
1746318834.4749212,20,1,5
1746318848.8443575,20,1,5
1746318864.7051876,20,1,5
1746318879.0323153,20,1,5
1746318893.5860338,20,1,5
1746318907.9924347,20,1,5
1746318924.1498253,20,1,5
1746318938.8316698,20,1,5
1746318953.496549,20,1,5
1746318968.3038883,20,1,5
1746318984.5964804,20,1,5
1746318999.3071647,20,1,5
1746319013.7382784,20,1,5
1746319028.440858,20,1,5
1746319043.4418852,20,1,5
1746319059.6499324,20,1,5
1746319074.4008787,20,1,5
1746319089.2814944,20,1,5
1746319104.4494023,20,1,5
1746319120.0919945,20,1,5
1746319134.0668755,20,1,5
1746319147.8670733,20,1,5
1746319162.134512,20,1,5
1746319176.3992805,20,1,5
1746319190.7868927,20,1,5
1746319206.402901,20,1,5
1746319220.3225477,20,1,5
1746319234.5424294,20,1,5
1746319248.9658132,20,1,5
1746319263.7420404,20,1,5
1746319278.6453123,20,1,5
1746319295.0585399,20,1,5
1746319310.1124556,20,1,5
1746319324.8292139,20,1,5
1746319339.4947946,20,1,5
1746319354.1394563,20,1,5
1746319368.7595763,20,1,5
1746319383.4795783,20,1,5
1746319400.3085175,20,1,5
1746319415.0081713,20,1,5
1746319429.74325,20,1,5
1746319444.4240053,20,1,5
1746319458.9970918,20,1,5
1746319473.6692898,20,1,5
1746319488.3479981,20,1,5
1746319503.3940384,20,1,5
1746319518.5589547,20,1,5
1746319533.660174,20,1,5
1746319550.2509692,20,1,5
1746319564.9740462,20,1,5
1746319579.719458,20,1,5
1746319594.526834,20,1,5
1746319609.9082005,20,1,5
1746319624.9407916,20,1,5
1746319639.8137364,20,1,5
1746319654.5940216,20,1,5
1746319669.5566597,20,1,5
1746319684.444489,20,1,5
1746319699.233763,20,1,5
1746319713.9793172,20,1,5
1746319730.6010308,20,1,5
1746319745.771838,20,1,5
1746319760.5612776,20,1,5
1746319775.2512233,20,1,5
1746319789.9328244,20,1,5
1746319804.7867785,20,1,5
1746319819.9692926,20,1,5
1746319835.0152283,20,1,5
1746319849.9593337,20,1,5
1746319864.8329651,20,1,5
1746319879.8546932,20,1,5
1746319894.9125438,20,1,5
1746319909.8647192,20,1,5
1746319924.9442902,20,1,5
1746319939.808422,20,1,5
1746319954.7145514,20,1,5
1746319969.8628364,20,1,5
1746319984.8677185,20,1,5
1746319999.9225016,20,1,5
1746320015.048875,20,1,5
1746320030.0519135,20,1,5
1746320045.2182462,20,1,5
1746320059.9517097,20,1,5
1746320074.2703378,20,1,5
1746320088.4707637,20,1,5
1746320102.516932,20,1,5
1746320117.0949976,20,1,5
1746320131.4115574,20,1,5
1746320145.037912,20,1,5
1746320157.9611666,20,1,5
1746320171.1050599,20,1,5
1746320184.196164,20,1,5
1746320197.4465933,20,1,5
1746320211.7531657,20,1,5
1746320226.544693,20,1,5
1746320241.8235605,20,1,5
1746320257.0258138,20,1,5
1746320277.98061,20,1,5
1746320290.7033021,20,0,0
1746320309.2302587,20,0,0
1746321250.79003,20,0,0
1746321251.4397175,20,0,0
1746321253.8270538,20,1,5
1746321263.1751812,20,1,5
1746322084.9956748,20,1,5
1746322085.835289,20,1,5
1746322087.912719,20,2,10
1746322101.9526026,20,2,10
1746322930.9458826,20,2,10
1746322931.642318,20,2,10
1746322933.5700717,20,3,15
1746322942.3944893,20,3,15
1746322959.891841,20,2,10
1746322960.0146115,20,2,10
1746324028.5231898,20,2,10
1746324029.4460306,20,2,10
1746324031.6235452,20,3,15
1746324037.389475,20,3,15
1746324054.6244345,20,2,10
1746324054.805326,20,2,10
1746325274.7746267,20,2,10
1746325275.4355586,20,2,10
1746325277.5509365,20,3,15
1746325285.1770852,20,3,15
1746325299.9548864,20,2,10
1746325300.2000082,20,2,10
1746326572.0985823,20,2,10
1746326572.8672028,20,2,10
1746326574.9217975,20,3,15
1746326580.6757598,20,3,15
1746326597.0964937,20,2,10
1746326597.2264001,20,2,10
1746327801.686193,20,2,10
1746327802.4413745,20,2,10
1746327804.5927503,20,3,15
1746327812.253707,20,3,15
1746327827.392045,20,2,10
1746327827.8316574,20,2,10
1746328782.8349075,20,2,10
1746328783.6562114,20,2,10
1746328785.7022696,20,3,15
1746328801.694622,20,3,15
1746328824.6407075,20,2,10
1746328824.9044802,20,2,10
1746329915.076239,20,2,10
1746329915.8265665,20,2,10
1746329917.8283253,20,3,15
1746329924.4152725,20,3,15
1746329940.2074392,20,2,10
1746329940.3815362,20,2,10
1746331266.392304,20,2,10
1746331267.394344,20,2,10
1746331269.5508368,20,3,15
1746331288.8757968,20,3,15
1746332234.4977524,20,3,15
1746332235.3018942,20,3,15
1746332237.491154,20,4,20
1746332248.2684915,20,4,20
1746332262.9394639,20,3,15
1746332263.0874493,20,3,15
1746333245.245485,20,3,15
1746333245.9767532,20,3,15
1746333247.943151,20,4,20
1746333259.4724846,20,4,20
1746333273.331737,20,3,15
1746333273.4757361,20,3,15
1746334307.031412,20,3,15
1746334307.701867,20,3,15
1746334309.584032,20,4,20
1746334333.0456,20,4,20
1746335364.5944898,20,4,20
1746335365.3315215,20,4,20
1746335367.5002491,20,5,25
1746335383.368092,20,5,25
1746335400.6173878,20,4,20
1746335415.4594839,20,3,15
1746335415.6204226,20,3,15
1746336530.915619,20,3,15
1746336531.6029801,20,3,15
1746336533.5700018,20,4,20
1746336557.8064954,20,4,20
1746337404.937129,20,4,20
1746337405.6622782,20,4,20
1746337407.635612,20,5,25
1746337423.4809835,20,5,25
1746337455.814021,20,4,20
1746337455.9595492,20,4,20
1746338470.5487564,20,4,20
1746338471.547707,20,4,20
1746338473.6663835,20,5,25
1746338503.1050959,20,5,25
1746339420.2724829,20,5,25
1746339420.9743743,20,5,25
1746339454.8961143,20,6,30
1746339482.0552998,20,6,30
1746339493.2014742,20,5,25
1746339493.4679282,20,5,25
1746340407.1280127,20,5,25
1746340407.8103912,20,5,25
1746340409.7435248,20,6,30
1746340443.8893356,20,6,30
1746341328.085516,20,6,30
1746341328.8195865,20,6,30
1746341330.7568166,20,7,35
1746341346.6321564,20,7,35
1746341374.8771005,20,6,30
1746341391.0956848,20,5,25
1746341391.3876743,20,5,25
1746341422.2631788,20,5,25
1746341457.4029682,20,5,25
1746341492.8498297,20,5,25
1746341527.2900722,20,5,25
1746341562.6999094,20,5,25
1746341596.7437246,20,5,25
1746341632.0934467,20,5,25
1746341666.1035035,20,5,25
1746341700.6376793,20,5,25
1746341735.296202,20,5,25
1746341766.666197,20,5,25
1746341797.6136093,20,5,25
1746341832.1185982,20,5,25
1746341866.312646,20,5,25
1746341898.3498023,20,5,25
1746341927.9771407,20,5,25
1746341961.2091427,20,5,25
1746341995.7624807,20,5,25
1746342029.02411,20,5,25
1746342063.7519004,20,5,25
1746342098.2481685,20,5,25
1746342133.6093068,20,5,25
1746342167.887161,20,5,25
1746342202.9420502,20,5,25
1746342237.5244148,20,5,25
1746342274.335651,20,5,25
1746342309.1126487,20,5,25
1746342343.7900407,20,5,25
1746342378.0433245,20,5,25
1746342413.446979,20,5,25
1746342448.1586852,20,5,25
1746342483.5534687,20,5,25
1746342516.7506826,20,5,25
1746342549.9604664,20,5,25
1746342583.3746066,20,5,25
1746342618.4207551,20,5,25
1746342652.5697231,20,5,25
1746342688.0135632,20,5,25
1746342724.6930583,20,5,25
1746342758.7573578,20,5,25
1746342794.2490852,20,5,25
1746342828.584321,20,5,25
1746342865.5640004,20,5,25
1746342899.7566555,20,5,25
1746342933.457863,20,5,25
1746342965.4147198,20,5,25
1746342998.506045,20,5,25
1746343033.4883654,20,5,25
1746343068.6587641,20,5,25
1746343103.3052936,20,5,25
1746343139.7673893,20,5,25
1746343160.5091584,20,5,25
1746343191.279614,20,4,20
1746343191.6346624,20,4,20
1746343220.4956725,20,4,20
1746343251.479997,20,4,20
1746343282.763575,20,4,20
1746343311.7881393,20,4,20
1746343342.754567,20,4,20
1746343373.9472063,20,4,20
1746343403.0051177,20,4,20
1746343434.1782734,20,4,20
1746343463.3124137,20,4,20
1746343494.913582,20,4,20
1746343523.9251719,20,4,20
1746343554.7672894,20,4,20
1746343584.5400658,20,4,20
1746343614.893867,20,4,20
1746343644.1094594,20,4,20
1746343675.0022588,20,4,20
1746343704.2760324,20,4,20
1746343735.4544501,20,4,20
1746343764.9806187,20,3,15
1746343790.2378845,20,3,15
1746343817.1805632,20,3,15
1746343841.1088533,20,3,15
1746343866.2813277,20,3,15
1746343891.2150052,20,3,15
1746343915.4045627,20,3,15
1746343938.9387958,20,3,15
1746343963.2800887,20,3,15
1746343987.3488142,20,3,15
1746344012.0495126,20,3,15
1746344035.9332175,20,3,15
1746344059.5796046,20,3,15
1746344081.9808536,20,3,15
1746344104.7100477,20,3,15
1746344128.4140997,20,3,15
1746344152.1145134,20,3,15
1746344176.1885986,20,3,15
1746344200.4089282,20,3,15
1746344225.3945112,20,3,15
1746344250.1351287,20,3,15
1746344275.0765266,20,3,15
1746344300.5169299,20,3,15
1746344325.7633405,20,3,15
1746344350.6702607,20,3,15
1746344376.0391655,20,3,15
1746344401.032758,20,3,15
1746344425.9477005,20,3,15
1746344450.9383214,20,3,15
1746344472.570987,20,3,15
1746344495.5073607,20,3,15
1746344520.214214,20,3,15
1746344544.4666579,20,3,15
1746344569.3013384,20,3,15
1746344594.213037,20,3,15
1746344618.0748136,20,3,15
1746344644.039178,20,3,15
1746344668.7623072,20,3,15
1746344693.2217438,20,3,15
1746344718.973963,20,3,15
1746344744.5468802,20,3,15
1746344770.388459,20,3,15
1746344794.9902866,20,3,15
1746344819.7532556,20,3,15
1746344842.8645377,20,3,15
1746344865.717679,20,3,15
1746344889.684181,20,3,15
1746344913.7699301,20,3,15
1746344937.9563553,20,3,15
1746344963.2687418,20,2,10
1746344982.296718,20,2,10
1746345003.4308426,20,2,10
1746345023.4253078,20,2,10
1746345043.4902697,20,2,10
1746345063.4822626,20,2,10
1746345085.014438,20,2,10
1746345104.8508108,20,2,10
1746345124.4803169,20,2,10
1746345144.762245,20,2,10
1746345165.7223868,20,2,10
1746345186.2771275,20,2,10
1746345206.4417095,20,2,10
1746345227.5105734,20,2,10
1746345247.3503635,20,2,10
1746345267.0621789,20,2,10
1746345286.6460035,20,2,10
1746345306.8555136,20,2,10
1746345326.706417,20,2,10
1746345346.8784153,20,2,10
1746345367.2084098,20,2,10
1746345388.076938,20,2,10
1746345408.6053047,20,2,10
1746345428.9943378,20,2,10
1746345449.4830575,20,2,10
1746345469.6899028,20,2,10
1746345489.7818263,20,2,10
1746345510.1079237,20,2,10
1746345530.4496753,20,2,10
1746345550.625332,20,2,10
1746345571.0775998,20,2,10
1746345591.242744,20,2,10
1746345611.6784115,20,2,10
1746345631.8026953,20,2,10
1746345651.800514,20,2,10
1746345671.8502576,20,2,10
1746345690.2732117,20,2,10
1746345710.2505045,20,2,10
1746345730.7867408,20,2,10
1746345750.8469594,20,2,10
1746345770.970741,20,2,10
1746345791.1868958,20,2,10
1746345810.1811728,20,2,10
1746345830.9247437,20,2,10
1746345851.567091,20,2,10
1746345872.106901,20,2,10
1746345892.8688247,20,2,10
1746345912.1062727,20,2,10
1746345932.5487714,20,2,10
1746345953.4658115,20,2,10
1746345973.8897188,20,2,10
1746345992.60926,20,2,10
1746346013.2671742,20,2,10
1746346034.2035236,20,2,10
1746346054.8954747,20,2,10
1746346073.5740657,20,2,10
1746346094.0044854,20,2,10
1746346114.3893712,20,2,10
1746346133.5087948,20,2,10
1746346154.3409026,20,2,10
1746346175.3728676,20,1,5
1746346190.3994217,20,1,5
1746346205.3360677,20,1,5
1746346220.4402754,20,1,5
1746346235.4133565,20,1,5
1746346250.4984527,20,1,5
1746346265.7059002,20,1,5
1746346280.8661005,20,1,5
1746346296.1936655,20,1,5
1746346310.6246781,20,1,5
1746346325.07036,20,1,5
1746346341.0625546,20,1,5
1746346355.0661561,20,1,5
1746346368.8672576,20,1,5
1746346382.8066454,20,1,5
1746346396.95152,20,1,5
1746346411.837975,20,1,5
1746346426.7440765,20,1,5
1746346441.5483282,20,1,5
1746346456.5360126,20,1,5
1746346471.4707415,20,1,5
1746346486.213886,20,1,5
1746346501.06383,20,1,5
1746346516.2073026,20,1,5
1746346531.7052746,20,1,5
1746346547.8084683,20,1,5
1746346563.496198,20,1,5
1746346579.0642476,20,1,5
1746346594.329293,20,1,5
1746346609.8457832,20,1,5
1746346625.4474752,20,1,5
1746346641.1171732,20,1,5
1746346658.410369,20,1,5
1746346673.9300451,20,1,5
1746346689.388097,20,1,5
1746346704.526724,20,1,5
1746346719.6067321,20,1,5
1746346734.7918441,20,1,5
1746346749.837193,20,1,5
1746346765.5108464,20,1,5
1746346781.1238663,20,1,5
1746346796.5830746,20,1,5
1746346811.9030857,20,1,5
1746346827.1371167,20,1,5
1746346842.409201,20,1,5
1746346857.483023,20,1,5
1746346872.6014142,20,1,5
1746346887.8184118,20,1,5
1746346902.8199735,20,1,5
1746346917.6176007,20,1,5
1746346932.3561695,20,1,5
1746346947.5725276,20,1,5
1746346962.8690536,20,1,5
1746346978.632735,20,1,5
1746346994.078676,20,1,5
1746347009.665666,20,1,5
1746347025.0551584,20,1,5
1746347040.560878,20,1,5
1746347055.8578832,20,1,5
1746347071.2465189,20,1,5
1746347086.717769,20,1,5
1746347101.995743,20,1,5
1746347117.4989393,20,1,5
1746347132.6070528,20,1,5
1746347147.6919446,20,1,5
1746347162.7775276,20,1,5
1746347176.7339978,20,1,5
1746347190.959413,20,1,5
1746347205.3199534,20,1,5
1746347219.5985165,20,1,5
1746347234.350893,20,1,5
1746347249.268367,20,1,5
1746347264.8264215,20,1,5
1746347279.5621705,20,1,5
1746347294.5119653,20,1,5
1746347310.2885535,20,1,5
1746347325.353033,20,1,5
1746347339.7894697,20,1,5
1746347355.2534595,20,1,5
1746347369.7795315,20,1,5
1746347384.292715,20,1,5
1746347399.1777456,20,1,5
1746347413.1212769,20,1,5
1746347426.650431,20,1,5
1746347441.0308063,20,1,5
1746347455.7529724,20,1,5
1746347471.4654524,20,1,5
1746347486.3657076,20,1,5
1746347501.3284597,20,1,5
1746347516.8848662,20,1,5
1746347531.9490206,20,1,5
1746347547.905626,20,1,5
1746347562.8142529,20,1,5
1746347577.8432941,20,1,5
1746347592.684132,20,1,5
1746347607.7515154,20,1,5
1746347623.0296028,20,1,5
1746347638.468321,20,1,5
1746347654.2243302,20,1,5
1746347669.301805,20,1,5
1746347684.259008,20,1,5
1746347700.313074,20,1,5
1746347715.4527545,20,1,5
1746347730.9965422,20,1,5
1746347745.2510655,20,1,5
1746347760.8457625,20,1,5
1746347774.851557,20,1,5
1746347789.5876005,20,1,5
1746347804.379034,20,1,5
1746347819.3862145,20,1,5
1746347834.521399,20,1,5
1746347849.7123187,20,1,5
1746347865.3181393,20,1,5
1746347880.6698303,20,1,5
1746347896.0352483,20,1,5
1746347911.3140314,20,1,5
1746347926.871303,20,1,5
1746347942.3768506,20,1,5
1746347957.7786558,20,1,5
1746347972.9514983,20,1,5
1746347988.4278297,20,1,5
1746348003.9482117,20,1,5
1746348018.1905193,20,1,5
1746348033.4012268,20,1,5
1746348048.6028655,20,1,5
1746348063.7425508,20,1,5
1746348079.4178016,20,1,5
1746348093.950191,20,1,5
1746348109.3807573,20,1,5
1746348124.9762695,20,1,5
1746348140.4121633,20,1,5
1746348156.0386796,20,1,5
1746348170.5064683,20,1,5
1746348186.075766,20,1,5
1746348201.5804012,20,1,5
1746348216.1008835,20,1,5
1746348231.6760669,20,1,5
1746348247.2309582,20,1,5
1746348262.822671,20,1,5
1746348277.299504,20,1,5
1746348293.0392594,20,1,5
1746348308.6819313,20,1,5
1746348323.1185417,20,1,5
1746348338.786906,20,1,5
1746348354.4756546,20,1,5
1746348369.015501,20,1,5
1746348384.841899,20,1,5
1746348400.581118,20,1,5
1746348414.3616073,20,1,5
1746348429.0798337,20,1,5
1746348442.8088439,20,1,5
1746348457.4238796,20,1,5
1746348472.8284557,20,1,5
1746348486.8736527,20,1,5
1746348502.288036,20,1,5
1746348516.52846,20,1,5
1746348531.6821702,20,1,5
1746348546.4785373,20,1,5
1746348560.2545805,20,1,5
1746348575.3420389,20,1,5
1746348608.4831457,20,0,0
1746349812.907339,20,0,0
1746349813.5798082,20,0,0
1746349816.4371364,20,1,5
1746349826.187871,20,1,5
1746350741.837044,20,1,5
1746350742.659073,20,1,5
1746350744.7434726,20,2,10
1746350760.0959458,20,2,10
1746351861.833844,20,2,10
1746351862.592262,20,2,10
1746351864.6813943,20,3,15
1746351884.5626752,20,3,15
1746353012.0022082,20,3,15
1746353012.7796307,20,3,15
1746353014.818738,20,4,20
1746353038.9230824,20,4,20
1746354146.1905923,20,4,20
1746354146.9406722,20,4,20
1746354148.8694327,20,5,25
1746354177.9816098,20,5,25
1746355289.4678018,20,5,25
1746355290.4112275,20,5,25
1746355292.549472,20,6,30
1746355328.5759933,20,6,30
1746356279.389129,20,6,30
1746356280.3875935,20,6,30
1746356283.095032,20,7,35
1746356310.8473473,20,7,35
1746356327.5842466,20,6,30
1746356327.758237,20,6,30
1746357402.540542,20,6,30
1746357403.181132,20,6,30
1746357405.168735,20,7,35
1746357421.1729872,20,7,35
1746357450.8667505,20,6,30
1746357468.1934977,20,5,25
1746357468.3284068,20,5,25
1746358904.779104,20,5,25
1746358905.5254793,20,5,25
1746358907.5894945,20,6,30
1746358923.5044441,20,6,30
1746358964.821081,20,5,25
1746358964.9784045,20,5,25
1746359967.7591581,20,5,25
1746359968.5224357,20,5,25
1746359970.5220287,20,6,30
1746359986.4471674,20,6,30
1746360026.834834,20,5,25
1746360027.0046787,20,5,25
1746360995.7573717,20,5,25
1746360996.4360082,20,5,25
1746360998.5397897,20,6,30
1746361014.410174,20,6,30
1746361053.1568358,20,5,25
1746361053.3073564,20,5,25
1746362170.1645365,20,5,25
1746362170.8948321,20,5,25
1746362172.8255713,20,6,30
1746362188.75872,20,6,30
1746362229.2944522,20,5,25
1746362229.4469433,20,5,25
1746363540.530071,20,5,25
1746363541.1624134,20,5,25
1746363543.119211,20,6,30
1746363576.8185306,20,6,30
1746364410.444009,20,6,30
1746364411.1844542,20,6,30
1746364413.16284,20,7,35
1746364450.9888463,20,7,35
1746365342.6501427,20,7,35
1746365343.123611,20,7,35
1746365345.0513754,20,8,40
1746365360.7402253,20,8,40
1746365406.8324285,20,7,35
1746365406.9545226,20,7,35
1746366180.7226636,20,7,35
1746366181.1843793,20,7,35
1746366183.2265084,20,8,40
1746366199.062075,20,8,40
1746366243.9478154,20,7,35
1746366244.1009617,20,7,35
1746367143.4423223,20,7,35
1746367144.2373617,20,7,35
1746367146.6741188,20,8,40
1746367187.4692342,20,8,40
1746367839.1565642,20,8,40
1746367839.6414402,20,8,40
1746367841.4214013,20,9,45
1746367857.1380198,20,9,45
1746367892.6792364,20,8,40
1746367906.4151034,20,7,35
1746367906.4901316,20,7,35
1746368879.5913103,20,7,35
1746368880.1884089,20,7,35
1746368882.1556988,20,8,40
1746368898.0354388,20,8,40
1746368939.4602916,20,7,35
1746368939.557021,20,7,35
1746369945.476144,20,7,35
1746369946.2014992,20,7,35
1746369948.1662273,20,8,40
1746369964.0769928,20,8,40
1746370007.6474571,20,7,35
1746370007.9264884,20,7,35
1746370046.176174,20,7,35
1746370086.9844556,20,7,35
1746370127.8379216,20,7,35
1746370169.6186466,20,7,35
1746370213.6883843,20,7,35
1746370256.0761428,20,7,35
1746370298.7903697,20,7,35
1746370342.5739365,20,7,35
1746370384.0386944,20,7,35
1746370423.3774757,20,7,35
1746370464.074131,20,7,35
1746370504.6077797,20,7,35
1746370545.8038473,20,7,35
1746370589.561212,20,7,35
1746370632.7408993,20,7,35
1746370675.762762,20,7,35
1746370718.5135322,20,7,35
1746370761.6068718,20,7,35
1746370805.073733,20,7,35
1746370846.9535022,20,7,35
1746370895.290195,20,7,35
1746370942.3644972,20,7,35
1746370989.4819028,20,7,35
1746371037.163486,20,7,35
1746371084.0210679,20,7,35
1746371130.8564022,20,7,35
1746371178.785952,20,7,35
1746371225.4437313,20,6,30
1746371267.884327,20,6,30
1746371310.0830734,20,6,30
1746371352.4581356,20,6,30
1746371394.5815272,20,6,30
1746371436.8338335,20,6,30
1746371478.69699,20,6,30
1746371521.2993605,20,6,30
1746371562.446106,20,6,30
1746371605.5495727,20,6,30
1746371646.4940355,20,6,30
1746371687.394528,20,6,30
1746371727.880142,20,6,30
1746371769.8175595,20,6,30
1746371812.1885808,20,6,30
1746371833.0369866,20,6,30
1746371873.4177477,20,5,25
1746371873.7722163,20,5,25
1746371909.5060074,20,5,25
1746371947.1081614,20,5,25
1746371985.1020076,20,5,25
1746372020.3532171,20,5,25
1746372056.551907,20,5,25
1746372089.2080865,20,5,25
1746372124.5646138,20,5,25
1746372159.455616,20,5,25
1746372195.3638885,20,5,25
1746372231.8092382,20,5,25
1746372268.145997,20,5,25
1746372306.9449358,20,5,25
1746372343.5072596,20,5,25
1746372380.1108701,20,5,25
1746372417.123991,20,5,25
1746372452.8943312,20,5,25
1746372489.3669214,20,5,25
1746372526.4939377,20,5,25
1746372564.0546927,20,5,25
1746372600.9656844,20,5,25
1746372636.4777083,20,5,25
1746372673.9445603,20,5,25
1746372711.9100726,20,5,25
1746372749.7145872,20,5,25
1746372786.7110062,20,5,25
1746372824.804171,20,5,25
1746372860.4585478,20,5,25
1746372898.1750255,20,5,25
1746372935.0442998,20,5,25
1746372973.4197915,20,5,25
1746373009.730878,20,5,25
1746373047.9058166,20,4,20
1746373077.1321762,20,4,20
1746373109.885399,20,4,20
1746373142.6921628,20,4,20
1746373175.0111532,20,4,20
1746373205.6571643,20,4,20
1746373237.872746,20,4,20
1746373270.1600082,20,4,20
1746373301.4438932,20,4,20
1746373334.1434977,20,4,20
1746373361.9775772,20,4,20
1746373393.078043,20,4,20
1746373425.9045792,20,4,20
1746373456.2811155,20,4,20
1746373488.5308633,20,4,20
1746373522.593424,20,4,20
1746373553.681711,20,4,20
1746373584.8689816,20,4,20
1746373614.634235,20,4,20
1746373644.1405654,20,3,15
1746373667.4412944,20,3,15
1746373690.1022766,20,3,15
1746373713.4630258,20,3,15
1746373738.6689298,20,3,15
1746373764.0739431,20,3,15
1746373789.6087477,20,3,15
1746373816.3796766,20,3,15
1746373844.4662676,20,3,15
1746373870.6211393,20,3,15
1746373896.3700402,20,3,15
1746373922.4721062,20,3,15
1746373948.301498,20,3,15
1746373975.2853708,20,3,15
1746374002.4975562,20,3,15
1746374028.6987834,20,3,15
1746374055.198302,20,3,15
1746374081.8708115,20,3,15
1746374108.9712594,20,3,15
1746374134.929254,20,3,15
1746374161.5693572,20,3,15
1746374187.4749513,20,3,15
1746374214.501934,20,3,15
1746374241.7481523,20,3,15
1746374268.3565645,20,3,15
1746374293.9290621,20,3,15
1746374319.0919416,20,3,15
1746374344.9364707,20,3,15
1746374370.2996664,20,3,15
1746374397.044354,20,3,15
1746374424.1544557,20,3,15
1746374450.6693785,20,3,15
1746374477.0451603,20,3,15
1746374503.6759338,20,3,15
1746374529.8778014,20,3,15
1746374556.3116288,20,3,15
1746374582.3690796,20,3,15
1746374608.1482728,20,3,15
1746374633.7103024,20,3,15
1746374660.7091162,20,3,15
1746374688.3341167,20,3,15
1746374714.389213,20,3,15
1746374740.8512638,20,3,15
1746374765.5797553,20,3,15
1746374789.955123,20,3,15
1746374811.9513152,20,3,15
1746374834.3023832,20,3,15
1746374856.58395,20,3,15
1746374882.4159296,20,3,15
1746374906.4305952,20,3,15
1746374930.1756206,20,3,15
1746374955.0668924,20,3,15
1746374979.7707617,20,3,15
1746375007.0796857,20,3,15
1746375033.6065822,20,3,15
1746375059.6776807,20,3,15
1746375086.5781703,20,3,15
1746375114.2613049,20,3,15
1746375141.0125866,20,3,15
1746375167.4772756,20,3,15
1746375194.285322,20,3,15
1746375220.9014747,20,3,15
1746375247.7020571,20,3,15
1746375274.37808,20,3,15
1746375301.2660956,20,3,15
1746375328.1428475,20,3,15
1746375356.2454877,20,3,15
1746375381.5608146,20,3,15
1746375402.9407027,20,3,15
1746375427.3047094,20,3,15
1746375453.1737702,20,2,10
1746375473.908824,20,2,10
1746375494.8450923,20,2,10
1746375515.408548,20,2,10
1746375536.313788,20,2,10
1746375557.9460177,20,2,10
1746375579.6237266,20,2,10
1746375601.2247016,20,2,10
1746375622.6035352,20,2,10
1746375643.9504738,20,2,10
1746375665.4980075,20,2,10
1746375687.092823,20,2,10
1746375708.6571863,20,2,10
1746375731.0122423,20,2,10
1746375752.4987707,20,2,10
1746375774.1631293,20,2,10
1746375796.036687,20,2,10
1746375816.6679313,20,2,10
1746375838.3019233,20,2,10
1746375859.629881,20,2,10
1746375880.976575,20,2,10
1746375902.6540372,20,2,10
1746375923.8365607,20,2,10
1746375944.5278625,20,2,10
1746375964.2834785,20,2,10
1746375985.1930435,20,2,10
1746376007.0927377,20,2,10
1746376029.1244273,20,2,10
1746376050.2363932,20,2,10
1746376071.8193069,20,2,10
1746376093.5694876,20,2,10
1746376115.205919,20,2,10
1746376136.8208709,20,2,10
1746376156.6399012,20,2,10
1746376178.2187028,20,2,10
1746376200.9728768,20,2,10
1746376221.4191287,20,2,10
1746376243.4286196,20,2,10
1746376265.4150064,20,2,10
1746376287.6854882,20,2,10
1746376307.7175734,20,2,10
1746376329.5775266,20,2,10
1746376351.0421712,20,2,10
1746376370.929247,20,2,10
1746376392.2184389,20,2,10
1746376413.2950711,20,2,10
1746376433.0321584,20,2,10
1746376454.3923936,20,2,10
1746376476.5355787,20,2,10
1746376497.048028,20,2,10
1746376519.9355106,20,2,10
1746376541.7232685,20,2,10
1746376560.331778,20,2,10
1746376580.5477953,20,2,10
1746376599.013371,20,2,10
1746376620.28272,20,2,10
1746376641.825509,20,1,5
1746376657.6668253,20,1,5
1746376673.041934,20,1,5
1746376688.61634,20,1,5
1746376704.1559508,20,1,5
1746376719.1903129,20,1,5
1746376735.3953195,20,1,5
1746376751.661779,20,1,5
1746376767.4367702,20,1,5
1746376783.066456,20,1,5
1746376798.6635695,20,1,5
1746376814.2119694,20,1,5
1746376829.4205105,20,1,5
1746376844.9278224,20,1,5
1746376860.9747553,20,1,5
1746376877.0123959,20,1,5
1746376893.631202,20,1,5
1746376909.945993,20,1,5
1746376926.210113,20,1,5
1746376942.5441797,20,1,5
1746376958.972383,20,1,5
1746376975.7649505,20,1,5
1746376992.038826,20,1,5
1746377008.1988149,20,1,5
1746377024.2296872,20,1,5
1746377040.4919586,20,1,5
1746377056.5624893,20,1,5
1746377072.609603,20,1,5
1746377088.6663992,20,1,5
1746377105.028353,20,1,5
1746377121.8712025,20,1,5
1746377138.4155788,20,1,5
1746377154.7869203,20,1,5
1746377171.2522686,20,1,5
1746377187.3279026,20,1,5
1746377203.6918187,20,1,5
1746377218.175346,20,1,5
1746377234.117847,20,1,5
1746377268.2698443,20,0,0
1746378434.2510505,20,0,0
1746378434.852232,20,0,0
1746378437.3760395,20,1,5
1746378447.9106205,20,1,5
1746379618.9997578,20,1,5
1746379619.76986,20,1,5
1746379621.8001947,20,2,10
1746379639.402197,20,2,10
1746381119.4156556,20,2,10
1746381120.440814,20,2,10
1746381123.4673495,20,3,15
1746381144.9416893,20,3,15
1746382605.279344,20,3,15
1746382606.0595226,20,3,15
1746382608.4489393,20,4,20
1746382621.5789714,20,4,20
1746382639.728711,20,3,15
1746382639.8925061,20,3,15
1746384080.7889833,20,3,15
1746384081.523683,20,3,15
1746384083.6604912,20,4,20
1746384096.9389503,20,4,20
1746384114.0956106,20,3,15
1746384114.3520265,20,3,15
1746385342.9829652,20,3,15
1746385343.68507,20,3,15
1746385345.7395258,20,4,20
1746385370.7408364,20,4,20
1746386559.498427,20,4,20
1746386560.4317684,20,4,20
1746386562.6551805,20,5,25
1746386578.7948887,20,5,25
1746386604.8294208,20,4,20
1746386617.6096087,20,3,15
1746386617.8043845,20,3,15
1746388333.9524302,20,3,15
1746388334.6917543,20,3,15
1746388336.6784322,20,4,20
1746388352.6752856,20,4,20
1746388383.1358798,20,3,15
1746388383.3574345,20,3,15
1746390142.8984725,20,3,15
1746390143.6671145,20,3,15
1746390145.6658247,20,4,20
1746390157.2061431,20,4,20
1746390174.5384588,20,3,15
1746390174.7128446,20,3,15
1746391663.4015374,20,3,15
1746391664.3509948,20,3,15
1746391666.6512244,20,4,20
1746391682.5446968,20,4,20
1746391698.5880501,20,3,15
1746391715.2675307,20,2,10
1746391715.4165127,20,2,10
1746393289.7421572,20,2,10
1746393290.4870584,20,2,10
1746393292.6347656,20,3,15
1746393308.6048853,20,3,15
1746393324.5154405,20,2,10
1746393336.255288,20,1,5
1746393336.5088346,20,1,5
1746394733.7338228,20,1,5
1746394734.497277,20,1,5
1746394736.596522,20,2,10
1746394752.3088088,20,2,10
1746395834.8249195,20,2,10
1746395835.555874,20,2,10
1746395837.6432605,20,3,15
1746395844.614774,20,3,15
1746395862.6457162,20,2,10
1746395862.79641,20,2,10
1746397062.4381936,20,2,10
1746397063.392838,20,2,10
1746397065.58928,20,3,15
1746397086.4886892,20,3,15
1746398051.5120497,20,3,15
1746398052.5113096,20,3,15
1746398054.6787999,20,4,20
1746398067.9209175,20,4,20
1746398085.1714928,20,3,15
1746398085.4164946,20,3,15
1746399404.9776628,20,3,15
1746399405.686151,20,3,15
1746399407.6905518,20,4,20
1746399423.6247745,20,4,20
1746399453.6342256,20,3,15
1746399453.8529315,20,3,15
1746400664.9934516,20,3,15
1746400665.7411203,20,3,15
1746400667.696756,20,4,20
1746400692.0661843,20,4,20
1746401928.5057921,20,4,20
1746401929.4720073,20,4,20
1746401931.6636553,20,5,25
1746401948.582479,20,5,25
1746401966.3010917,20,4,20
1746401966.786329,20,4,20
1746403341.5749996,20,4,20
1746403342.4328969,20,4,20
1746403344.6075463,20,5,25
1746403360.5337858,20,5,25
1746403386.3912704,20,4,20
1746403398.2823155,20,3,15
1746403398.4394283,20,3,15
1746405195.4158933,20,3,15
1746405196.4042435,20,3,15
1746405198.6534252,20,4,20
1746405225.4187155,20,4,20
1746405253.6067367,20,4,20
1746405284.6957266,20,4,20
1746405314.9772801,20,4,20
1746405346.0716078,20,4,20
1746405378.4586565,20,3,15
1746405404.0419612,20,3,15
1746405430.9152997,20,3,15
1746405456.6392646,20,3,15
1746405483.797448,20,3,15
1746405509.1304107,20,3,15
1746405535.8341148,20,3,15
1746405560.1029048,20,3,15
1746405585.6751916,20,3,15
1746405610.098578,20,3,15
1746405635.4880953,20,3,15
1746405660.7349834,20,3,15
1746405687.1410804,20,3,15
1746405712.9099112,20,3,15
1746405739.0738416,20,3,15
1746405765.1688552,20,3,15
1746405791.2857938,20,3,15
1746405817.3453212,20,3,15
1746405843.7314332,20,3,15
1746405871.1613684,20,3,15
1746405897.4801128,20,3,15
1746405923.468181,20,3,15
1746405949.7065413,20,3,15
1746405974.3244545,20,3,15
1746405999.8835108,20,3,15
1746406025.974223,20,3,15
1746406052.235389,20,3,15
1746406078.9380066,20,3,15
1746406105.308762,20,3,15
1746406131.814955,20,3,15
1746406158.7359202,20,3,15
1746406184.825978,20,3,15
1746406211.65163,20,3,15
1746406238.3005228,20,3,15
1746406265.1496654,20,3,15
1746406290.191665,20,3,15
1746406317.1216686,20,3,15
1746406344.2614403,20,3,15
1746406369.1317997,20,3,15
1746406395.310847,20,3,15
1746406420.657793,20,3,15
1746406446.9994276,20,3,15
1746406472.7905033,20,3,15
1746406497.211121,20,3,15
1746406522.975683,20,3,15
1746406545.6228187,20,3,15
1746406570.2010007,20,3,15
1746406593.092863,20,3,15
1746406616.4859862,20,3,15
1746406642.2180176,20,3,15
1746406666.0709338,20,3,15
1746406691.6222417,20,3,15
1746406714.8128898,20,3,15
1746406737.5555189,20,3,15
1746406762.2947376,20,3,15
1746406786.536267,20,3,15
1746406811.3414261,20,3,15
1746406837.6583302,20,3,15
1746406863.4171705,20,3,15
1746406888.348043,20,3,15
1746406915.320985,20,3,15
1746406940.3507397,20,3,15
1746406965.3136137,20,3,15
1746406990.0853822,20,3,15
1746407016.9514182,20,3,15
1746407042.1964626,20,3,15
1746407067.5945878,20,3,15
1746407093.3591373,20,3,15
1746407118.190995,20,3,15
1746407143.26958,20,2,10
1746407163.6310863,20,2,10
1746407184.192959,20,2,10
1746407203.0276835,20,2,10
1746407223.6756299,20,2,10
1746407244.7586246,20,2,10
1746407264.1660657,20,2,10
1746407284.402537,20,2,10
1746407303.10856,20,2,10
1746407322.956995,20,2,10
1746407342.3646088,20,2,10
1746407364.0365171,20,2,10
1746407385.7995124,20,2,10
1746407405.337083,20,2,10
1746407426.426695,20,2,10
1746407446.3444324,20,2,10
1746407467.5148346,20,2,10
1746407486.6521847,20,2,10
1746407507.867121,20,2,10
1746407527.6889997,20,2,10
1746407549.437578,20,2,10
1746407569.0430436,20,2,10
1746407590.0236247,20,2,10
1746407609.1951838,20,2,10
1746407629.7417,20,2,10
1746407648.8912785,20,2,10
1746407670.405344,20,2,10
1746407689.8881307,20,2,10
1746407710.720778,20,2,10
1746407730.984472,20,2,10
1746407749.1635811,20,2,10
1746407770.0415034,20,2,10
1746407790.4916427,20,2,10
1746407809.936749,20,2,10
1746407830.1965222,20,2,10
1746407850.892376,20,2,10
1746407870.7910953,20,2,10
1746407890.9618776,20,2,10
1746407910.678721,20,2,10
1746407931.5205755,20,2,10
1746407949.7343187,20,2,10
1746407967.6204863,20,2,10
1746407985.683039,20,2,10
1746408004.7378013,20,2,10
1746408023.7595005,20,2,10
1746408042.0755422,20,2,10
1746408060.6744988,20,2,10
1746408081.207123,20,2,10
1746408100.6266224,20,2,10
1746408120.8902404,20,2,10
1746408142.0262911,20,2,10
1746408162.1407888,20,2,10
1746408182.1246307,20,2,10
1746408201.8268275,20,2,10
1746408222.2526882,20,2,10
1746408242.0127432,20,2,10
1746408261.863822,20,2,10
1746408282.2039504,20,2,10
1746408303.0130136,20,2,10
1746408323.5801678,20,2,10
1746408343.9765646,20,2,10
1746408364.0751224,20,2,10
1746408383.9920568,20,2,10
1746408403.3683662,20,2,10
1746408421.9416819,20,2,10
1746408441.0625732,20,2,10
1746408460.429184,20,2,10
1746408480.7458358,20,2,10
1746408501.2478292,20,2,10
1746408522.007204,20,2,10
1746408542.5823987,20,2,10
1746408562.3370664,20,2,10
1746408580.711704,20,2,10
1746408599.355559,20,2,10
1746408619.3023663,20,2,10
1746408638.150248,20,2,10
1746408659.1100893,20,2,10
1746408680.1185346,20,2,10
1746408699.7743506,20,2,10
1746408720.1795595,20,2,10
1746408740.543149,20,2,10
1746408760.430957,20,2,10
1746408781.2905588,20,2,10
1746408801.0145345,20,2,10
1746408821.3792493,20,2,10
1746408841.9432557,20,2,10
1746408861.7153141,20,2,10
1746408882.1501186,20,2,10
1746408903.0659573,20,2,10
1746408922.6283438,20,2,10
1746408942.98097,20,2,10
1746408961.9725714,20,2,10
1746408981.922951,20,2,10
1746409000.8526278,20,2,10
1746409021.9992979,20,2,10
1746409042.2810357,20,2,10
1746409062.6334846,20,2,10
1746409083.0944374,20,2,10
1746409102.2823217,20,2,10
1746409121.0998204,20,2,10
1746409140.9374952,20,2,10
1746409160.372971,20,2,10
1746409180.1038456,20,2,10
1746409199.497369,20,2,10
1746409218.476607,20,2,10
1746409239.4903727,20,2,10
1746409259.0493038,20,2,10
1746409278.6872356,20,2,10
1746409298.6244624,20,2,10
1746409319.3595595,20,2,10
1746409340.6722224,20,2,10
1746409360.967892,20,2,10
1746409381.022934,20,2,10
1746409401.5750124,20,2,10
1746409422.180445,20,2,10
1746409442.6327884,20,2,10
1746409462.8343263,20,2,10
1746409482.4441304,20,2,10
1746409501.7632508,20,2,10
1746409521.6188104,20,2,10
1746409542.367884,20,2,10
1746409563.511479,20,2,10
1746409581.2219422,20,1,5
1746409581.5306647,20,1,5
1746409597.844691,20,1,5
1746409612.9543095,20,1,5
1746409628.4240112,20,1,5
1746409645.022461,20,1,5
1746409660.2177413,20,1,5
1746409675.0992203,20,1,5
1746409691.1794775,20,1,5
1746409705.794296,20,1,5
1746409720.4193141,20,1,5
1746409736.275469,20,1,5
1746409751.0426776,20,1,5
1746409766.1947637,20,1,5
1746409780.9688387,20,1,5
1746409797.4524982,20,1,5
1746409812.600775,20,1,5
1746409827.7742677,20,1,5
1746409844.9835308,20,1,5
1746409859.9116304,20,1,5
1746409874.6948571,20,1,5
1746409889.293008,20,1,5
1746409905.3184726,20,1,5
1746409919.6534674,20,1,5
1746409934.264888,20,1,5
1746409949.239146,20,1,5
1746409966.2414942,20,1,5
1746409981.4141593,20,1,5
1746409996.5754437,20,1,5
1746410011.7000089,20,1,5
1746410026.5865629,20,1,5
1746410043.2492983,20,1,5
1746410058.080814,20,1,5
1746410073.3023632,20,1,5
1746410088.6378791,20,1,5
1746410103.964398,20,1,5
1746410119.2298439,20,1,5
1746410135.640617,20,1,5
1746410150.4762483,20,1,5
1746410165.5984733,20,1,5
1746410180.7413208,20,1,5
1746410195.960316,20,1,5
1746410212.4853697,20,1,5
1746410227.3252387,20,1,5
1746410242.4006786,20,1,5
1746410257.4183228,20,1,5
1746410272.50776,20,1,5
1746410287.579109,20,1,5
1746410304.632467,20,1,5
1746410319.1637979,20,1,5
1746410333.2681837,20,1,5
1746410347.4089444,20,1,5
1746410361.397107,20,1,5
1746410375.714685,20,1,5
1746410390.4495883,20,1,5
1746410404.9525673,20,1,5
1746410421.0093307,20,1,5
1746410435.924273,20,1,5
1746410450.873226,20,1,5
1746410466.0796537,20,1,5
1746410480.962005,20,1,5
1746410495.6063,20,1,5
1746410510.0309784,20,1,5
1746410524.7957442,20,1,5
1746410540.1456046,20,1,5
1746410556.852528,20,1,5
1746410572.1406305,20,1,5
1746410587.0525665,20,1,5
1746410602.2100186,20,1,5
1746410617.560392,20,1,5
1746410632.8889089,20,1,5
1746410648.3097513,20,1,5
1746410663.6850622,20,1,5
1746410678.9275658,20,1,5
1746410694.0141072,20,1,5
1746410709.2363174,20,1,5
1746410724.815007,20,1,5
1746410742.228913,20,1,5
1746410758.1970723,20,1,5
1746410773.5091121,20,1,5
1746410788.6571207,20,1,5
1746410802.6797037,20,1,5
1746410816.6351442,20,1,5
1746410831.5498607,20,1,5
1746410846.9019907,20,1,5
1746410862.445844,20,1,5
1746410877.775196,20,1,5
1746410893.1441493,20,1,5
1746410908.6408937,20,1,5
1746410924.1563976,20,1,5
1746410939.6449199,20,1,5
1746410955.1305127,20,1,5
1746410970.8973463,20,1,5
1746410986.3802314,20,1,5
1746411001.690951,20,1,5
1746411017.0376873,20,1,5
1746411032.2762506,20,1,5
1746411047.7359524,20,1,5
1746411062.559019,20,1,5
1746411077.1362205,20,1,5
1746411091.5983655,20,1,5
1746411106.4387677,20,1,5
1746411122.0093353,20,1,5
1746411137.329191,20,1,5
1746411152.275719,20,1,5
1746411167.5108862,20,1,5
1746411183.2891583,20,1,5
1746411198.648936,20,1,5
1746411214.1418202,20,1,5
1746411228.1424973,20,1,5
1746411243.3296638,20,1,5
1746411256.9723616,20,1,5
1746411271.0021708,20,1,5
1746411284.8810835,20,1,5
1746411298.8601062,20,1,5
1746411313.5654306,20,1,5
1746411328.3567493,20,1,5
1746411343.1488674,20,1,5
1746411358.3082726,20,1,5
1746411373.534039,20,1,5
1746411388.4625843,20,1,5
1746411403.749761,20,1,5
1746411418.2634013,20,1,5
1746411432.673308,20,1,5
1746411447.215463,20,1,5
1746411460.4241705,20,1,5
1746411474.9027727,20,1,5
1746411489.3908927,20,1,5
1746411503.1906004,20,1,5
1746411517.7542667,20,1,5
1746411533.1580982,20,1,5
1746411547.9957948,20,1,5
1746411563.2213047,20,1,5
1746411578.5480697,20,1,5
1746411594.791801,20,1,5
1746411610.3213902,20,1,5
1746411625.6536078,20,1,5
1746411640.656714,20,1,5
1746411655.723261,20,1,5
1746411671.459696,20,1,5
1746411686.9543626,20,1,5
1746411702.1728294,20,1,5
1746411717.2951427,20,1,5
1746411732.5098379,20,1,5
1746411748.328674,20,1,5
1746411763.3827364,20,1,5
1746411778.1544907,20,1,5
1746411793.0229943,20,1,5
1746411808.483047,20,1,5
1746411824.2395794,20,1,5
1746411839.355874,20,1,5
1746411853.765242,20,1,5
1746411868.0401876,20,1,5
1746411882.9503865,20,1,5
1746411897.679773,20,1,5
1746411913.5430899,20,1,5
1746411929.0205026,20,1,5
1746411944.200556,20,1,5
1746411959.538933,20,1,5
1746411975.085407,20,1,5
1746411989.5518737,20,1,5
1746412005.465902,20,1,5
1746412020.511755,20,1,5
1746412035.1743078,20,1,5
1746412049.873776,20,1,5
1746412065.0275788,20,1,5
1746412080.1709504,20,1,5
1746412095.2944617,20,1,5
1746412110.5931256,20,1,5
1746412125.9244194,20,1,5
1746412141.6312819,20,1,5
1746412156.8705902,20,1,5
1746412171.9881577,20,1,5
1746412186.7130551,20,1,5
1746412201.9346905,20,1,5
1746412217.3623638,20,1,5
1746412232.0143623,20,1,5
1746412244.5861402,20,1,5
1746412257.5131154,20,1,5
1746412270.4487603,20,1,5
1746412283.7271132,20,1,5
1746412298.291221,20,1,5
1746412313.7314646,20,1,5
1746412328.237525,20,1,5
1746412343.7940156,20,1,5
1746412359.0691988,20,1,5
1746412374.0237968,20,1,5
1746412388.9360144,20,1,5
1746412403.5758028,20,1,5
1746412419.0123568,20,1,5
1746412433.2988248,20,1,5
1746412446.7619877,20,1,5
1746412461.0344138,20,1,5
1746412474.7176878,20,1,5
1746412488.9463215,20,1,5
1746412503.0306995,20,1,5
1746412518.0616233,20,1,5
1746412533.6085238,20,1,5
1746412548.1156626,20,1,5
1746412581.6277142,20,0,0
1746413344.6379538,20,0,0
1746413345.2515802,20,0,0
1746413348.4039323,20,1,5
1746413359.2213218,20,1,5
1746414152.7509758,20,1,5
1746414153.4891615,20,1,5
1746414155.6433682,20,2,10
1746414171.915563,20,2,10
1746415127.0157237,20,2,10
1746415127.6988037,20,2,10
1746415129.7002492,20,3,15
1746415150.481571,20,3,15
1746416190.8555684,20,3,15
1746416191.606598,20,3,15
1746416193.5986555,20,4,20
1746416204.7755291,20,4,20
1746416222.4622893,20,3,15
1746416222.6651943,20,3,15
1746417413.6216164,20,3,15
1746417414.4150643,20,3,15
1746417416.595602,20,4,20
1746417443.7876673,20,4,20
1746418519.5072393,20,4,20
1746418520.3944328,20,4,20
1746418522.5794053,20,5,25
1746418553.7581007,20,5,25
1746419845.5256214,20,5,25
1746419846.4282088,20,5,25
1746419848.5467508,20,6,30
1746419885.8865774,20,6,30
1746420908.9677255,20,6,30
1746420909.7093885,20,6,30
1746420911.624151,20,7,35
1746420927.533899,20,7,35
1746420970.8551977,20,6,30
1746420971.013326,20,6,30
1746422335.9851367,20,6,30
1746422336.6581361,20,6,30
1746422338.5546086,20,7,35
1746422354.3919625,20,7,35
1746422396.9928157,20,6,30
1746422397.1635616,20,6,30
1746423924.499468,20,6,30
1746423925.416201,20,6,30
1746423927.6578434,20,7,35
1746423943.4866269,20,7,35
1746423980.1589787,20,6,30
1746423992.9678726,20,5,25
1746423993.130364,20,5,25
1746425357.2931097,20,5,25
1746425358.0642068,20,5,25
1746425360.3827302,20,6,30
1746425376.2605245,20,6,30
1746425416.0721707,20,5,25
1746425416.2389836,20,5,25
1746426720.2274346,20,5,25
1746426720.9645991,20,5,25
1746426723.4289076,20,6,30
1746426739.2557337,20,6,30
1746426770.4022787,20,5,25
1746426781.7289915,20,4,20
1746426781.9332006,20,4,20
1746428235.283582,20,4,20
1746428236.0532334,20,4,20
1746428237.9561148,20,5,25
1746428253.8097289,20,5,25
1746428277.9974594,20,4,20
1746428304.4056528,20,3,15
1746428304.5449684,20,3,15
1746429658.179056,20,3,15
1746429658.9023116,20,3,15
1746429660.7471528,20,4,20
1746429676.6289809,20,4,20
1746429707.0886252,20,3,15
1746429707.2438788,20,3,15
1746431223.3965623,20,3,15
1746431224.4076188,20,3,15
1746431226.4411337,20,4,20
1746431251.5414886,20,4,20
1746432684.7870324,20,4,20
1746432685.2341692,20,4,20
1746432687.1873293,20,5,25
1746432703.098846,20,5,25
1746432723.4863467,20,4,20
1746432739.280385,20,3,15
1746432739.4017625,20,3,15
1746433834.079432,20,3,15
1746433834.3884985,20,3,15
1746433836.0073726,20,4,20
1746433858.2512436,20,4,20
1746434934.4530654,20,4,20
1746434935.2206144,20,4,20
1746434937.183517,20,5,25
1746434965.8309007,20,5,25
1746435944.4470253,20,5,25
1746435945.2257657,20,5,25
1746435947.1314118,20,6,30
1746435963.2505367,20,6,30
1746435985.8853662,20,5,25
1746436001.1202915,20,4,20
1746436001.219752,20,4,20
1746436776.4137528,20,4,20
1746436777.145281,20,4,20
1746436778.776616,20,5,25
1746436807.2856784,20,5,25
1746436837.0313194,20,5,25
1746436869.9652424,20,5,25
1746436902.9491348,20,5,25
1746436935.2430763,20,4,20
1746436963.149039,20,4,20
1746436992.4895945,20,4,20
1746437020.5625234,20,4,20
1746437048.4020834,20,4,20
1746437075.4440525,20,4,20
1746437103.7388694,20,4,20
1746437132.3283515,20,4,20
1746437160.760846,20,4,20
1746437188.9239228,20,4,20
1746437216.9287584,20,4,20
1746437244.7026205,20,4,20
1746437272.514621,20,4,20
1746437298.1162941,20,4,20
1746437325.0539286,20,4,20
1746437353.4419768,20,4,20
1746437381.9371443,20,4,20
1746437408.3431935,20,4,20
1746437436.121817,20,4,20
1746437464.732065,20,4,20
1746437491.0249622,20,4,20
1746437516.2535238,20,4,20
1746437542.9029799,20,4,20
1746437570.1126733,20,4,20
1746437595.6589878,20,4,20
1746437623.4614284,20,4,20
1746437651.8539894,20,4,20
1746437678.96607,20,4,20
1746437706.2242372,20,4,20
1746437731.7840018,20,4,20
1746437758.6374738,20,4,20
1746437784.9119163,20,4,20
1746437813.3349168,20,4,20
1746437842.0627725,20,4,20
1746437870.1149662,20,4,20
1746437897.5481071,20,4,20
1746437924.339949,20,4,20
1746437951.6862795,20,4,20
1746437979.1036437,20,4,20
1746438006.4328947,20,4,20
1746438033.252967,20,4,20
1746438061.517314,20,4,20
1746438089.5753088,20,4,20
1746438116.5435712,20,4,20
1746438144.2567902,20,4,20
1746438171.4522767,20,4,20
1746438198.503525,20,4,20
1746438222.4998758,20,4,20
1746438247.2713816,20,4,20
1746438273.7914615,20,4,20
1746438301.2534351,20,4,20
1746438328.0328937,20,4,20
1746438355.2255895,20,4,20
1746438381.8894048,20,4,20
1746438407.2087982,20,4,20
1746438433.3559902,20,4,20
1746438461.2912989,20,4,20
1746438489.417079,20,4,20
1746438517.3532712,20,4,20
1746438545.6826546,20,4,20
1746438573.1341095,20,4,20
1746438601.5085163,20,4,20
1746438629.092702,20,4,20
1746438656.2662923,20,4,20
1746438683.8410943,20,4,20
1746438711.6538336,20,4,20
1746438738.4872615,20,4,20
1746438766.1866574,20,4,20
1746438793.7420678,20,4,20
1746438821.8740673,20,4,20
1746438849.056585,20,4,20
1746438876.3022146,20,4,20
1746438903.9085627,20,4,20
1746438931.201229,20,4,20
1746438959.2027838,20,4,20
1746438988.5990112,20,4,20
1746439016.2814147,20,4,20
1746439045.3906083,20,4,20
1746439073.9662352,20,4,20
1746439101.8402627,20,4,20
1746439127.889004,20,4,20
1746439155.2805595,20,4,20
1746439184.2958262,20,4,20
1746439212.2697883,20,4,20
1746439240.8611526,20,4,20
1746439268.9488616,20,4,20
1746439297.9651513,20,4,20
1746439326.076435,20,4,20
1746439355.4094827,20,4,20
1746439383.9469166,20,4,20
1746439412.6527445,20,4,20
1746439442.5320435,20,4,20
1746439470.5323682,20,4,20
1746439498.9116628,20,4,20
1746439527.3215322,20,4,20
1746439557.0320263,20,4,20
1746439583.4237149,20,4,20
1746439609.8246825,20,4,20
1746439637.163097,20,4,20
1746439664.5634167,20,4,20
1746439691.4531837,20,4,20
1746439718.2876663,20,4,20
1746439746.680366,20,4,20
1746439773.6123238,20,4,20
1746439801.3035204,20,4,20
1746439830.2145412,20,4,20
1746439860.4018073,20,4,20
1746439891.8149412,20,4,20
1746439923.4280093,20,4,20
1746439954.985932,20,4,20
1746439986.7300167,20,4,20
1746440018.1075428,20,4,20
1746440049.5700266,20,4,20
1746440081.7943804,20,4,20
1746440111.988842,20,4,20
1746440143.8425086,20,4,20
1746440175.70407,20,4,20
1746440207.5102038,20,4,20
1746440237.883774,20,4,20
1746440269.8165221,20,4,20
1746440302.395568,20,4,20
1746440332.4607167,20,4,20
1746440364.7443593,20,4,20
1746440396.506816,20,3,15
1746440422.0293312,20,3,15
1746440447.343351,20,3,15
1746440473.2230961,20,3,15
1746440498.9608784,20,3,15
1746440525.1561508,20,3,15
1746440551.280519,20,3,15
1746440577.5730596,20,3,15
1746440604.5165477,20,3,15
1746440630.5824354,20,3,15
1746440656.911668,20,3,15
1746440684.5408566,20,3,15
1746440710.1982627,20,3,15
1746440736.4917495,20,3,15
1746440764.7815316,20,3,15
1746440791.0745254,20,3,15
1746440816.1292815,20,3,15
1746440841.057229,20,3,15
1746440866.6402864,20,3,15
1746440892.6743157,20,3,15
1746440918.001,20,3,15
1746440943.2011914,20,3,15
1746440968.108438,20,3,15
1746440992.8482728,20,3,15
1746441016.347384,20,3,15
1746441041.2700543,20,3,15
1746441066.9006197,20,3,15
1746441091.7989488,20,3,15
1746441118.1772697,20,3,15
1746441143.1167428,20,3,15
1746441168.0150435,20,3,15
1746441194.2243454,20,3,15
1746441221.071959,20,3,15
1746441248.1702142,20,3,15
1746441274.5344925,20,3,15
1746441300.8978574,20,3,15
1746441325.96016,20,3,15
1746441352.1674519,20,3,15
1746441378.4544806,20,3,15
1746441404.2200596,20,3,15
1746441430.1261046,20,3,15
1746441456.6386938,20,3,15
1746441482.5761807,20,3,15
1746441508.2862666,20,3,15
1746441534.3111687,20,3,15
1746441560.3811057,20,3,15
1746441585.934513,20,3,15
1746441612.648987,20,2,10
1746441633.5399668,20,2,10
1746441654.8296852,20,2,10
1746441674.9638155,20,2,10
1746441696.3306513,20,2,10
1746441717.945083,20,2,10
1746441738.947008,20,2,10
1746441760.531286,20,2,10
1746441781.0717196,20,2,10
1746441802.591563,20,2,10
1746441823.2996104,20,2,10
1746441845.153252,20,2,10
1746441866.0166903,20,2,10
1746441888.0198464,20,2,10
1746441908.4621775,20,2,10
1746441930.2191513,20,2,10
1746441950.8379068,20,2,10
1746441972.827086,20,2,10
1746441993.796115,20,2,10
1746442014.2581916,20,2,10
1746442036.0185716,20,2,10
1746442056.506278,20,2,10
1746442078.526045,20,2,10
1746442099.0934017,20,2,10
1746442119.686912,20,2,10
1746442140.080697,20,2,10
1746442161.994077,20,2,10
1746442182.6899076,20,2,10
1746442203.3198335,20,2,10
1746442225.868475,20,2,10
1746442246.9754288,20,2,10
1746442267.919328,20,2,10
1746442288.1836014,20,2,10
1746442308.204867,20,2,10
1746442329.8415601,20,2,10
1746442349.7767262,20,2,10
1746442370.1380618,20,2,10
1746442389.2429817,20,2,10
1746442410.1716092,20,2,10
1746442431.2657807,20,2,10
1746442452.0747716,20,2,10
1746442473.1734724,20,2,10
1746442495.5268478,20,2,10
1746442516.336769,20,2,10
1746442537.155991,20,2,10
1746442558.7056491,20,2,10
1746442579.7003353,20,2,10
1746442600.4942586,20,2,10
1746442621.251873,20,2,10
1746442641.9090645,20,2,10
1746442662.2805014,20,2,10
1746442682.7989247,20,2,10
1746442703.8844416,20,2,10
1746442724.6395316,20,2,10
1746442745.561762,20,2,10
1746442766.5201242,20,2,10
1746442787.8642719,20,2,10
1746442809.571935,20,2,10
1746442831.6911676,20,2,10
1746442851.3957322,20,2,10
1746442872.3262188,20,2,10
1746442892.571998,20,2,10
1746442912.6267903,20,2,10
1746442932.356394,20,2,10
1746442952.7176027,20,2,10
1746442973.4067433,20,2,10
1746442994.7417092,20,2,10
1746443014.0446317,20,2,10
1746443035.0960782,20,2,10
1746443056.1355727,20,2,10
1746443077.160929,20,2,10
1746443098.0828915,20,2,10
1746443117.5807128,20,2,10
1746443138.7639966,20,2,10
1746443159.9875555,20,2,10
1746443181.3203115,20,2,10
1746443200.6628902,20,2,10
1746443222.1514359,20,2,10
1746443243.648333,20,2,10
1746443265.1292548,20,2,10
1746443284.5420291,20,2,10
1746443306.1750162,20,2,10
1746443327.5019565,20,2,10
1746443347.081359,20,2,10
1746443368.4802368,20,2,10
1746443389.9860003,20,2,10
1746443412.3620193,20,1,5
1746443428.0125296,20,1,5
1746443443.6589243,20,1,5
1746443459.2235777,20,1,5
1746443474.908894,20,1,5
1746443490.6327453,20,1,5
1746443506.369232,20,1,5
1746443522.0413334,20,1,5
1746443537.6835768,20,1,5
1746443555.9540408,20,1,5
1746443571.7093928,20,1,5
1746443587.441859,20,1,5
1746443603.2223148,20,1,5
1746443618.9403732,20,1,5
1746443635.1764758,20,1,5
1746443651.235367,20,1,5
1746443667.0919633,20,1,5
1746443682.8686838,20,1,5
1746443698.5341196,20,1,5
1746443714.3240027,20,1,5
1746443732.2179496,20,1,5
1746443747.9830337,20,1,5
1746443763.7383604,20,1,5
1746443779.4641075,20,1,5
1746443795.4868553,20,1,5
1746443811.3939965,20,1,5
1746443827.2025466,20,1,5
1746443842.8778505,20,1,5
1746443858.4721642,20,1,5
1746443874.1217966,20,1,5
1746443890.0653117,20,1,5
1746443905.7443573,20,1,5
1746443921.5023954,20,1,5
1746443937.4363148,20,1,5
1746443953.393906,20,1,5
1746443969.3029683,20,1,5
1746443985.202499,20,1,5
1746444001.1757956,20,1,5
1746444037.3672793,20,0,0
1746445037.589688,20,0,0
1746445038.114195,20,0,0
1746445040.540185,20,1,5
1746445050.380207,20,1,5
1746446131.5318053,20,1,5
1746446132.4470055,20,1,5
1746446134.4943516,20,2,10
1746446149.5266135,20,2,10
1746447500.3994913,20,2,10
1746447501.376381,20,2,10
1746447503.4809597,20,3,15
1746447524.9896712,20,3,15
1746448672.7914555,20,3,15
1746448673.4913902,20,3,15
1746448675.446531,20,4,20
1746448702.8282337,20,4,20
1746449828.4452713,20,4,20
1746449829.3765726,20,4,20
1746449831.410871,20,5,25
1746449847.676612,20,5,25
1746449865.4446964,20,4,20
1746449865.892857,20,4,20
1746451717.790303,20,4,20
1746451718.4779203,20,4,20
1746451720.4090319,20,5,25
1746451751.3803453,20,5,25
1746453044.818089,20,5,25
1746453045.4135654,20,5,25
1746453047.3308313,20,6,30
1746453063.2161994,20,6,30
1746453086.3142664,20,5,25
1746453102.4333618,20,4,20
1746453102.5599318,20,4,20
1746454092.7262235,20,4,20
1746454093.3783839,20,4,20
1746454095.3996851,20,5,25
1746454111.1520422,20,5,25
1746454143.8565032,20,4,20
1746454144.0136874,20,4,20
1746455047.6200585,20,4,20
1746455048.3498409,20,4,20
1746455050.3893635,20,5,25
1746455066.15049,20,5,25
1746455085.766959,20,4,20
1746455103.1546228,20,3,15
1746455103.315412,20,3,15
1746456485.4954233,20,3,15
1746456486.4034865,20,3,15
1746456488.4771476,20,4,20
1746456514.70979,20,4,20
1746458248.1473536,20,4,20
1746458248.9142096,20,4,20
1746458250.7279484,20,5,25
1746458266.6381066,20,5,25
1746458301.662318,20,4,20
1746458301.831326,20,4,20
1746459815.2767801,20,4,20
1746459816.0589209,20,4,20
1746459817.9814265,20,5,25
1746459851.3848994,20,5,25
1746461290.3990343,20,5,25
1746461291.3958201,20,5,25
1746461293.4840162,20,6,30
1746461309.3216982,20,6,30
1746461349.4178183,20,5,25
1746461349.5696273,20,5,25
1746463230.9033322,20,5,25
1746463231.650487,20,5,25
1746463233.5298011,20,6,30
1746463249.4161427,20,6,30
1746463281.2278357,20,5,25
1746463293.1961348,20,4,20
1746463293.3435094,20,4,20
1746464503.9795952,20,4,20
1746464504.7708101,20,4,20
1746464506.6588345,20,5,25
1746464522.5843358,20,5,25
1746464557.6296933,20,4,20
1746464557.7954507,20,4,20
1746465658.5208094,20,4,20
1746465659.4152474,20,4,20
1746465661.484593,20,5,25
1746465677.2755513,20,5,25
1746465711.7789884,20,4,20
1746465711.9235,20,4,20
1746467008.2576642,20,4,20
1746467009.0363677,20,4,20
1746467010.933492,20,5,25
1746467043.9487605,20,5,25
1746468253.2283463,20,5,25
1746468253.9981208,20,5,25
1746468255.8680792,20,6,30
1746468271.6875813,20,6,30
1746468311.2633767,20,5,25
1746468311.426765,20,5,25
1746469708.4287665,20,5,25
1746469709.4186134,20,5,25
1746469711.5013127,20,6,30
1746469727.3530014,20,6,30
1746469753.1870408,20,5,25
1746469762.6388166,20,4,20
1746469774.5223157,20,3,15
1746469774.679747,20,3,15
1746471314.999264,20,3,15
1746471315.7557695,20,3,15
1746471317.653824,20,4,20
1746471344.4691956,20,4,20
1746471372.2642283,20,4,20
1746471404.6599145,20,4,20
1746471437.0886762,20,4,20
1746471468.4742172,20,4,20
1746471501.435483,20,4,20
1746471533.8270035,20,4,20
1746471565.222153,20,4,20
1746471597.9231095,20,4,20
1746471629.771849,20,4,20
1746471663.2680068,20,4,20
1746471684.838154,20,4,20
1746471697.353225,20,3,15
1746471698.0132556,20,3,15
1746471725.3000743,20,3,15
1746471752.2512424,20,3,15
1746471779.887281,20,3,15
1746471805.840933,20,3,15
1746471831.9640093,20,3,15
1746471859.4542477,20,3,15
1746471885.5930243,20,3,15
1746471912.2459455,20,3,15
1746471938.5052433,20,3,15
1746471966.0263817,20,3,15
1746471992.589696,20,3,15
1746472019.2321265,20,3,15
1746472045.802335,20,3,15
1746472072.7231536,20,3,15
1746472099.6684592,20,2,10
1746472120.6312203,20,2,10
1746472143.3516695,20,2,10
1746472164.6128387,20,2,10
1746472185.9719853,20,2,10
1746472207.4273963,20,2,10
1746472228.7639565,20,2,10
1746472251.639551,20,2,10
1746472272.5668533,20,2,10
1746472293.476378,20,2,10
1746472314.4698277,20,2,10
1746472335.8075578,20,2,10
1746472358.7485297,20,2,10
1746472380.2492075,20,2,10
1746472402.2595477,20,2,10
1746472423.5809455,20,2,10
1746472444.9078918,20,2,10
1746472464.5183828,20,2,10
1746472484.4570835,20,2,10
1746472503.8281426,20,2,10
1746472523.831288,20,2,10
1746472544.659714,20,2,10
1746472565.3523388,20,2,10
1746472586.1576653,20,2,10
1746472607.567278,20,2,10
1746472629.286782,20,2,10
1746472650.6108956,20,2,10
1746472672.407733,20,2,10
1746472694.2534797,20,2,10
1746472716.2604995,20,2,10
1746472738.2362673,20,2,10
1746472759.9285164,20,2,10
1746472781.578216,20,2,10
1746472803.4450738,20,2,10
1746472825.3813949,20,2,10
1746472847.482039,20,2,10
1746472867.7955973,20,2,10
1746472890.1084023,20,2,10
1746472912.0541625,20,2,10
1746472933.9649496,20,2,10
1746472955.8777726,20,2,10
1746472978.3627264,20,2,10
1746473000.3744574,20,2,10
1746473020.3647883,20,2,10
1746473042.2429914,20,2,10
1746473064.2649093,20,2,10
1746473086.35029,20,2,10
1746473106.6769989,20,2,10
1746473129.3627055,20,2,10
1746473151.6840272,20,2,10
1746473173.9590192,20,2,10
1746473196.1607268,20,2,10
1746473216.5600984,20,2,10
1746473239.0300965,20,2,10
1746473261.211664,20,2,10
1746473283.1157503,20,2,10
1746473303.701335,20,1,5
1746473321.7082314,20,1,5
1746473337.7157366,20,1,5
1746473352.6278224,20,1,5
1746473366.921234,20,1,5
1746473381.740383,20,1,5
1746473396.237091,20,1,5
1746473412.0264091,20,1,5
1746473427.738549,20,1,5
1746473444.6022544,20,1,5
1746473459.8424547,20,1,5
1746473476.0883896,20,1,5
1746473492.685716,20,1,5
1746473509.0773015,20,1,5
1746473525.1288893,20,1,5
1746473541.268773,20,1,5
1746473557.5544784,20,1,5
1746473573.7443306,20,1,5
1746473591.9331987,20,1,5
1746473607.9560304,20,1,5
1746473624.0189686,20,1,5
1746473640.29572,20,1,5
1746473656.359864,20,1,5
1746473672.4026644,20,1,5
1746473688.4068701,20,1,5
1746473704.721617,20,1,5
1746473721.2629747,20,1,5
1746473738.0699456,20,1,5
1746473756.5709293,20,1,5
1746473772.8488655,20,1,5
1746473789.0181618,20,1,5
1746473805.1997817,20,1,5
1746473821.4127498,20,1,5
1746473837.4329717,20,1,5
1746473853.5862513,20,1,5
1746473869.7665193,20,1,5
1746473885.8793638,20,1,5
1746473902.0346923,20,1,5
1746473918.3844736,20,1,5
1746473934.718888,20,1,5
1746473951.244164,20,1,5
1746473967.525289,20,1,5
1746473983.7326572,20,1,5
1746474000.310428,20,1,5
1746474016.2120616,20,1,5
1746474033.9653313,20,1,5
1746474049.8818026,20,1,5
1746474065.7147467,20,1,5
1746474081.5877955,20,1,5
1746474096.4345465,20,1,5
1746474111.4346044,20,1,5
1746474126.4053488,20,1,5
1746474141.2210214,20,1,5
1746474156.3961332,20,1,5
1746474172.0485961,20,1,5
1746474189.537661,20,1,5
1746474205.1504536,20,1,5
1746474221.2467482,20,1,5
1746474236.8030064,20,1,5
1746474252.7238784,20,1,5
1746474268.7444313,20,1,5
1746474284.3798747,20,1,5
1746474300.136587,20,1,5
1746474316.0798032,20,1,5
1746474332.5998952,20,1,5
1746474348.2550204,20,1,5
1746474363.8491774,20,1,5
1746474380.7820332,20,1,5
1746474396.663173,20,1,5
1746474412.5575035,20,1,5
1746474429.339448,20,1,5
1746474445.1824512,20,1,5
1746474462.09587,20,1,5
1746474478.1227257,20,1,5
1746474494.0121849,20,1,5
1746474529.733794,20,0,0
1746475659.770824,20,0,0
1746475660.4450753,20,0,0
1746475662.5437722,20,1,5
1746475673.5012763,20,1,5
1746476644.9977517,20,1,5
1746476645.5881882,20,1,5
1746476647.3544745,20,2,10
1746476662.886559,20,2,10
1746477609.500455,20,2,10
1746477610.357536,20,2,10
1746477612.4413455,20,3,15
1746477635.431787,20,3,15
1746478561.8264015,20,3,15
1746478562.5693457,20,3,15
1746478564.436286,20,4,20
1746478576.9503126,20,4,20
1746478596.0241818,20,3,15
1746478596.189037,20,3,15
1746479709.0128574,20,3,15
1746479709.767026,20,3,15
1746479711.6289241,20,4,20
1746479738.3834686,20,4,20
1746481153.3251312,20,4,20
1746481154.3432214,20,4,20
1746481157.4276881,20,5,25
1746481175.8091345,20,5,25
1746481184.4192455,20,4,20
1746481196.5992208,20,3,15
1746481196.9044182,20,3,15
1746482480.1737683,20,3,15
1746482480.859883,20,3,15
1746482482.5457497,20,4,20
1746482506.7732637,20,4,20
1746483672.0859892,20,4,20
1746483672.7859383,20,4,20
1746483674.6506994,20,5,25
1746483690.4486055,20,5,25
1746483710.4855018,20,4,20
1746483728.6832054,20,3,15
1746483728.8657973,20,3,15
1746484869.272458,20,3,15
1746484870.0266519,20,3,15
1746484871.7956052,20,4,20
1746484887.4913821,20,4,20
1746484913.915564,20,3,15
1746484914.0550807,20,3,15
1746486117.300098,20,3,15
1746486118.0295525,20,3,15
1746486119.837609,20,4,20
1746486135.6611495,20,4,20
1746486157.6762164,20,3,15
1746486169.9915037,20,2,10
1746486170.1475866,20,2,10
1746487323.145567,20,2,10
1746487323.8535948,20,2,10
1746487325.674656,20,3,15
1746487347.3683858,20,3,15
1746488550.0748634,20,3,15
1746488550.8534229,20,3,15
1746488552.6596258,20,4,20
1746488580.6521876,20,4,20
1746489755.85325,20,4,20
1746489756.5910265,20,4,20
1746489758.4767663,20,5,25
1746489791.7356966,20,5,25
1746491152.4384122,20,5,25
1746491153.3925745,20,5,25
1746491155.525713,20,6,30
1746491171.481461,20,6,30
1746491212.6800778,20,5,25
1746491212.856475,20,5,25
1746492499.2428389,20,5,25
1746492499.7847652,20,5,25
1746492501.4256938,20,6,30
1746492517.1531808,20,6,30
1746492557.3592055,20,5,25
1746492557.5080042,20,5,25
1746493631.7748008,20,5,25
1746493632.481229,20,5,25
1746493634.4474087,20,6,30
1746493658.8061764,20,6,30
1746493676.7473395,20,5,25
1746493676.9739687,20,5,25
1746494730.6155586,20,5,25
1746494731.3953156,20,5,25
1746494733.5079067,20,6,30
1746494749.3199797,20,6,30
1746494790.0068588,20,5,25
1746494790.2100325,20,5,25
1746495951.0060408,20,5,25
1746495951.734761,20,5,25
1746495953.5369563,20,6,30
1746495969.327616,20,6,30
1746495995.7229254,20,5,25
1746496014.0035446,20,4,20
1746496014.1693678,20,4,20
1746497189.9968996,20,4,20
1746497191.7157438,20,4,20
1746497193.552018,20,5,25
1746497209.3455937,20,5,25
1746497244.3131406,20,4,20
1746497244.457221,20,4,20
1746498158.342924,20,4,20
1746498159.2257519,20,4,20
1746498161.1709116,20,5,25
1746498192.912162,20,5,25
1746498226.6720233,20,5,25
1746498264.9426522,20,5,25
1746498302.6476047,20,5,25
1746498340.0877776,20,5,25
1746498377.2101426,20,5,25
1746498414.0300126,20,5,25
1746498450.3641758,20,5,25
1746498486.2734637,20,5,25
1746498524.0449197,20,4,20
1746498556.2503824,20,4,20
1746498588.2453012,20,4,20
1746498619.6263409,20,4,20
1746498652.8142586,20,4,20
1746498685.1793182,20,4,20
1746498716.1324089,20,4,20
1746498749.355014,20,4,20
1746498782.0644124,20,4,20
1746498813.0953245,20,4,20
1746498846.230704,20,4,20
1746498877.8776276,20,4,20
1746498911.3959394,20,4,20
1746498942.9157689,20,4,20
1746498974.295525,20,4,20
1746499007.6001003,20,4,20
1746499039.6169336,20,4,20
1746499071.6319761,20,4,20
1746499104.8754919,20,4,20
1746499136.8133714,20,4,20
1746499168.855905,20,4,20
1746499197.7353725,20,4,20
1746499226.9502635,20,4,20
1746499258.5026946,20,4,20
1746499290.6632173,20,4,20
1746499322.2327673,20,4,20
1746499352.9671395,20,4,20
1746499384.898606,20,4,20
1746499417.0529082,20,4,20
1746499449.5582187,20,4,20
1746499482.1377308,20,4,20
1746499514.3321934,20,4,20
1746499546.5635462,20,4,20
1746499578.610776,20,4,20
1746499610.6006937,20,4,20
1746499643.3738103,20,4,20
1746499676.2724154,20,4,20
1746499707.1456213,20,4,20
1746499740.2589653,20,4,20
1746499772.8415554,20,4,20
1746499805.298947,20,4,20
1746499838.5408454,20,4,20
1746499869.5324883,20,4,20
1746499902.5099597,20,4,20
1746499934.4128802,20,4,20
1746499965.0897703,20,4,20
1746499993.5380297,20,4,20
1746500022.961182,20,4,20
1746500055.1711462,20,4,20
1746500084.9916039,20,4,20
1746500115.7800598,20,4,20
1746500146.4511833,20,4,20
1746500176.2755463,20,4,20
1746500208.7552745,20,4,20
1746500240.79625,20,4,20
1746500273.6207619,20,4,20
1746500306.3170545,20,4,20
1746500339.0335875,20,4,20
1746500370.8625498,20,4,20
1746500402.093893,20,4,20
1746500434.0723972,20,4,20
1746500466.6433764,20,4,20
1746500497.929394,20,4,20
1746500529.991016,20,4,20
1746500562.3588119,20,4,20
1746500593.4485798,20,4,20
1746500625.4714522,20,4,20
1746500658.3826718,20,4,20
1746500690.118309,20,4,20
1746500722.4226038,20,4,20
1746500754.3244364,20,4,20
1746500784.8559844,20,4,20
1746500815.3539972,20,4,20
1746500847.9892383,20,4,20
1746500881.0363944,20,4,20
1746500912.9991689,20,4,20
1746500945.2722318,20,4,20
1746500976.8910532,20,4,20
1746501008.0251315,20,4,20
1746501040.4042325,20,4,20
1746501072.5958571,20,4,20
1746501104.9375951,20,4,20
1746501137.7230623,20,4,20
1746501169.3329399,20,4,20
1746501200.8749816,20,4,20
1746501234.249018,20,4,20
1746501266.2618997,20,3,15
1746501293.462984,20,3,15
1746501319.6171732,20,3,15
1746501346.8229113,20,3,15
1746501373.3360317,20,3,15
1746501400.8474028,20,3,15
1746501425.4650795,20,3,15
1746501450.1091125,20,3,15
1746501473.9814734,20,3,15
1746501497.9204307,20,3,15
1746501522.7682304,20,3,15
1746501545.7353215,20,3,15
1746501568.1133168,20,3,15
1746501591.1114097,20,3,15
1746501615.395486,20,3,15
1746501638.8147733,20,3,15
1746501662.8228562,20,3,15
1746501687.0895715,20,3,15
1746501711.2622664,20,3,15
1746501735.4678524,20,3,15
1746501759.520105,20,3,15
1746501784.0312264,20,3,15
1746501809.0136585,20,3,15
1746501833.5964725,20,3,15
1746501857.707034,20,3,15
1746501882.262333,20,3,15
1746501907.1003902,20,3,15
1746501929.2394614,20,3,15
1746501951.2442906,20,3,15
1746501973.0111833,20,3,15
1746501997.0607147,20,3,15
1746502020.950207,20,3,15
1746502044.4721918,20,3,15
1746502066.5490406,20,3,15
1746502089.5458007,20,3,15
1746502113.899932,20,3,15
1746502137.1177886,20,3,15
1746502161.0643325,20,3,15
1746502185.7070453,20,3,15
1746502209.2493968,20,3,15
1746502233.5003045,20,3,15
1746502257.750857,20,3,15
1746502280.9155476,20,3,15
1746502305.3630404,20,3,15
1746502329.5878727,20,3,15
1746502352.4643493,20,3,15
1746502376.606671,20,3,15
1746502400.2002273,20,3,15
1746502425.4404852,20,3,15
1746502448.7958233,20,3,15
1746502472.2841527,20,3,15
1746502496.839836,20,3,15
1746502519.9178174,20,3,15
1746502544.3524055,20,3,15
1746502567.5263236,20,3,15
1746502590.9979837,20,3,15
1746502616.1010153,20,3,15
1746502639.9794748,20,3,15
1746502665.2808614,20,3,15
1746502688.6578279,20,3,15
1746502712.2575338,20,3,15
1746502737.6812408,20,3,15
1746502762.0658073,20,3,15
1746502786.0751984,20,3,15
1746502809.8290453,20,3,15
1746502835.1573322,20,3,15
1746502858.7057605,20,3,15
1746502882.311675,20,3,15
1746502906.0280862,20,3,15
1746502931.3435965,20,3,15
1746502955.3654015,20,3,15
1746502979.7425828,20,3,15
1746503002.950529,20,3,15
1746503025.7619932,20,3,15
1746503048.5379853,20,3,15
1746503073.5391014,20,3,15
1746503097.583106,20,3,15
1746503122.073062,20,3,15
1746503145.5090501,20,3,15
1746503168.7726672,20,3,15
1746503192.3375263,20,3,15
1746503215.3778164,20,3,15
1746503238.7093418,20,3,15
1746503264.5203693,20,3,15
1746503288.4980228,20,3,15
1746503312.6220229,20,3,15
1746503338.435086,20,3,15
1746503362.65645,20,3,15
1746503386.789162,20,3,15
1746503411.289672,20,3,15
1746503432.391366,20,3,15
1746503453.7961864,20,3,15
1746503475.2052855,20,3,15
1746503497.8172107,20,3,15
1746503521.1897376,20,3,15
1746503545.2405324,20,3,15
1746503568.7721057,20,3,15
1746503593.0534356,20,3,15
1746503617.4431853,20,3,15
1746503641.3572893,20,3,15
1746503665.770317,20,3,15
1746503691.917756,20,2,10
1746503711.8179755,20,2,10
1746503731.3434255,20,2,10
1746503751.4900398,20,2,10
1746503770.7905972,20,2,10
1746503790.3367083,20,2,10
1746503810.3245118,20,2,10
1746503831.5466793,20,2,10
1746503851.3445687,20,2,10
1746503871.2162015,20,2,10
1746503891.2140434,20,2,10
1746503914.2286773,20,2,10
1746503934.2046654,20,2,10
1746503954.2038324,20,2,10
1746503974.3481283,20,2,10
1746503994.0363488,20,2,10
1746504013.7756681,20,2,10
1746504033.3474524,20,2,10
1746504053.5548267,20,2,10
1746504073.8247373,20,2,10
1746504093.6722257,20,2,10
1746504113.4127219,20,2,10
1746504133.3120487,20,2,10
1746504152.88585,20,2,10
1746504172.3162599,20,2,10
1746504192.396295,20,2,10
1746504211.4944837,20,2,10
1746504231.463603,20,2,10
1746504251.3107905,20,2,10
1746504271.2832332,20,2,10
1746504290.7993188,20,2,10
1746504310.9071116,20,2,10
1746504330.6186125,20,2,10
1746504349.7395844,20,2,10
1746504370.0290823,20,2,10
1746504390.6012547,20,2,10
1746504411.3444088,20,2,10
1746504431.1073587,20,2,10
1746504451.8143215,20,2,10
1746504471.561391,20,2,10
1746504492.0882034,20,2,10
1746504510.4945934,20,2,10
1746504529.499541,20,2,10
1746504547.4278271,20,2,10
1746504566.5908206,20,2,10
1746504586.1889966,20,2,10
1746504606.9576085,20,2,10
1746504626.5637422,20,2,10
1746504647.2944067,20,2,10
1746504667.003204,20,2,10
1746504688.267224,20,2,10
1746504708.193016,20,2,10
1746504728.0053487,20,2,10
1746504749.1170678,20,2,10
1746504769.061594,20,2,10
1746504788.6550395,20,2,10
1746504809.3869398,20,2,10
1746504829.4420676,20,2,10
1746504849.0702367,20,2,10
1746504870.4018,20,2,10
1746504890.3804238,20,1,5
1746504904.9177966,20,1,5
1746504920.3233562,20,1,5
1746504934.8030663,20,1,5
1746504950.286239,20,1,5
1746504964.9170542,20,1,5
1746504980.6365278,20,1,5
1746504995.2183633,20,1,5
1746505010.9121642,20,1,5
1746505025.3298593,20,1,5
1746505039.861063,20,1,5
1746505055.562951,20,1,5
1746505070.182074,20,1,5
1746505086.1006806,20,1,5
1746505100.7638457,20,1,5
1746505116.7396176,20,1,5
1746505131.5592172,20,1,5
1746505146.1774807,20,1,5
1746505161.928479,20,1,5
1746505176.47278,20,1,5
1746505192.5011148,20,1,5
1746505207.0118287,20,1,5
1746505221.4737933,20,1,5
1746505237.3022091,20,1,5
1746505252.0080411,20,1,5
1746505267.153977,20,1,5
1746505283.5509305,20,1,5
1746505298.4017603,20,1,5
1746505313.2482517,20,1,5
1746505329.402505,20,1,5
1746505344.274195,20,1,5
1746505359.3516085,20,1,5
1746505375.7561812,20,1,5
1746505390.6179554,20,1,5
1746505405.497254,20,1,5
1746505421.6624985,20,1,5
1746505436.4249175,20,1,5
1746505451.1478868,20,1,5
1746505467.4136133,20,1,5
1746505482.2608721,20,1,5
1746505514.6705272,20,0,0
1746506548.6021147,20,0,0
1746506549.1465375,20,0,0
1746506551.2040834,20,1,5
1746506560.874182,20,1,5
1746507553.2690067,20,1,5
1746507553.9448345,20,1,5
1746507555.5785875,20,2,10
1746507570.8504298,20,2,10
1746508362.3744318,20,2,10
1746508363.868671,20,2,10
1746508365.32557,20,3,15
1746508369.800607,20,3,15
1746508383.9606009,20,2,10
1746508384.0440056,20,2,10
1746509616.5693948,20,2,10
1746509617.4333775,20,2,10
1746509619.5085113,20,3,15
1746509627.6786845,20,3,15
1746509646.0517921,20,2,10
1746509646.3090143,20,2,10
1746510953.292353,20,2,10
1746510954.058627,20,2,10
1746510955.910373,20,3,15
1746510979.867681,20,3,15
1746512394.1014721,20,3,15
1746512394.830836,20,3,15
1746512396.682756,20,4,20
1746512424.7920952,20,4,20
1746513480.9824963,20,4,20
1746513481.7057123,20,4,20
1746513483.5313878,20,5,25
1746513516.2055452,20,5,25
1746514520.553003,20,5,25
1746514521.341608,20,5,25
1746514523.4270797,20,6,30
1746514539.3694053,20,6,30
1746514565.9609582,20,5,25
1746514585.1172276,20,4,20
1746514585.316328,20,4,20
1746515808.8670282,20,4,20
1746515809.629532,20,4,20
1746515811.5003576,20,5,25
1746515844.161079,20,5,25
1746516899.6981924,20,5,25
1746516900.4425554,20,5,25
1746516902.4854295,20,6,30
1746516918.3409233,20,6,30
1746516961.2079508,20,5,25
1746516961.402917,20,5,25
1746518047.2432017,20,5,25
1746518047.9449062,20,5,25
1746518049.8765738,20,6,30
1746518073.630524,20,6,30
1746518092.057949,20,5,25
1746518092.2827907,20,5,25
1746519813.2485957,20,5,25
1746519813.9789367,20,5,25
1746519815.8481827,20,6,30
1746519832.0781035,20,6,30
1746519855.3940995,20,5,25
1746519892.9193091,20,4,20
1746519893.0973039,20,4,20
1746521225.0969372,20,4,20
1746521225.8412313,20,4,20
1746521227.750276,20,5,25
1746521263.0415845,20,5,25
1746522732.0672255,20,5,25
1746522732.7093627,20,5,25
1746522734.42714,20,6,30
1746522750.217457,20,6,30
1746522786.6939259,20,5,25
1746522786.817039,20,5,25
1746523995.698352,20,5,25
1746523996.417399,20,5,25
1746523998.4626145,20,6,30
1746524014.3479373,20,6,30
1746524057.2634456,20,5,25
1746524057.4342623,20,5,25
1746525471.678901,20,5,25
1746525472.4248998,20,5,25
1746525474.4446278,20,6,30
1746525490.2893105,20,6,30
1746525533.3213232,20,5,25
1746525533.501145,20,5,25
1746526813.9004812,20,5,25
1746526814.4884126,20,5,25
1746526816.3238277,20,6,30
1746526838.7612605,20,6,30
1746526857.1049623,20,5,25
1746526857.3825853,20,5,25
1746528244.0537488,20,5,25
1746528244.637344,20,5,25
1746528246.3652072,20,6,30
1746528262.1368902,20,6,30
1746528300.8117166,20,5,25
1746528300.957033,20,5,25
1746529286.0020578,20,5,25
1746529286.538198,20,5,25
1746529288.3396275,20,6,30
1746529304.211884,20,6,30
1746529346.356173,20,5,25
1746529346.4901116,20,5,25
1746530355.9199903,20,5,25
1746530356.6466744,20,5,25
1746530358.5434854,20,6,30
1746530374.349856,20,6,30
1746530417.0934165,20,5,25
1746530417.451767,20,5,25
1746530452.5479245,20,5,25
1746530491.2477064,20,5,25
1746530530.08917,20,5,25
1746530570.754195,20,5,25
1746530609.454856,20,5,25
1746530648.5675669,20,5,25
1746530690.8069768,20,5,25
1746530730.9253445,20,5,25
1746530770.3119774,20,5,25
1746530808.001047,20,5,25
1746530846.3797762,20,5,25
1746530884.7768285,20,5,25
1746530922.5797503,20,5,25
1746530960.5706768,20,5,25
1746530998.6954136,20,5,25
1746531037.5104077,20,5,25
1746531076.2703118,20,5,25
1746531114.791366,20,5,25
1746531154.1201818,20,5,25
1746531189.3152676,20,5,25
1746531223.8680155,20,5,25
1746531261.916581,20,5,25
1746531298.2780209,20,5,25
1746531335.9332962,20,5,25
1746531375.2471156,20,5,25
1746531414.2200882,20,5,25
1746531453.6951888,20,5,25
1746531492.5155218,20,5,25
1746531531.4228938,20,5,25
1746531570.864477,20,5,25
1746531610.1464658,20,4,20
1746531644.2182813,20,4,20
1746531677.995998,20,4,20
1746531711.4695358,20,4,20
1746531745.8553805,20,4,20
1746531778.91327,20,4,20
1746531812.2401054,20,4,20
1746531846.9633205,20,4,20
1746531880.7364807,20,4,20
1746531913.8768237,20,4,20
1746531947.6944036,20,4,20
1746531981.1200793,20,4,20
1746532014.2811186,20,4,20
1746532050.8904266,20,4,20
1746532085.006844,20,4,20
1746532118.8203557,20,4,20
1746532153.154401,20,4,20
1746532184.8529382,20,4,20
1746532217.0322642,20,4,20
1746532248.9715729,20,4,20
1746532283.959106,20,4,20
1746532316.8394568,20,4,20
1746532350.6971607,20,4,20
1746532383.7730794,20,4,20
1746532413.8706226,20,4,20
1746532443.4748943,20,4,20
1746532475.370262,20,4,20
1746532506.1797347,20,4,20
1746532538.9226608,20,4,20
1746532571.1091547,20,4,20
1746532604.3931131,20,4,20
1746532635.5623553,20,4,20
1746532668.2887595,20,4,20
1746532703.3641438,20,4,20
1746532736.2298846,20,4,20
1746532769.5565724,20,4,20
1746532806.066904,20,4,20
1746532839.5590482,20,4,20
1746532873.0997705,20,4,20
1746532906.2637672,20,4,20
1746532939.619685,20,4,20
1746532975.3511603,20,4,20
1746533008.3874648,20,4,20
1746533041.270836,20,4,20
1746533074.5403368,20,4,20
1746533108.4699728,20,4,20
1746533142.1602087,20,4,20
1746533175.4984455,20,4,20
1746533208.8225832,20,4,20
1746533242.6663847,20,4,20
1746533276.6463532,20,4,20
1746533310.326432,20,4,20
1746533344.955625,20,4,20
1746533378.762248,20,4,20
1746533410.4398086,20,4,20
1746533444.8897374,20,4,20
1746533478.8097234,20,4,20
1746533513.0035126,20,4,20
1746533546.9823525,20,4,20
1746533578.8619993,20,4,20
1746533613.6068935,20,4,20
1746533647.5610101,20,4,20
1746533681.288775,20,4,20
1746533713.6316147,20,4,20
1746533747.7202096,20,4,20
1746533781.9031677,20,4,20
1746533815.3694413,20,4,20
1746533846.4241529,20,4,20
1746533880.149452,20,4,20
1746533914.1108103,20,4,20
1746533948.4518762,20,4,20
1746533983.5125535,20,4,20
1746534017.1565003,20,4,20
1746534050.102299,20,4,20
1746534081.7820132,20,4,20
1746534114.2491357,20,4,20
1746534147.0165749,20,4,20
1746534180.1518335,20,4,20
1746534212.254409,20,4,20
1746534245.4669344,20,4,20
1746534275.055785,20,4,20
1746534303.1449943,20,4,20
1746534334.192889,20,4,20
1746534364.9930573,20,4,20
1746534397.8696804,20,4,20
1746534429.7131994,20,4,20
1746534461.83931,20,4,20
1746534494.760567,20,4,20
1746534526.7338443,20,4,20
1746534559.4947767,20,4,20
1746534593.2449872,20,4,20
1746534628.0040147,20,3,15
1746534656.075483,20,3,15
1746534684.1141355,20,3,15
1746534712.0005388,20,3,15
1746534740.4047701,20,3,15
1746534768.2257888,20,3,15
1746534795.9131277,20,3,15
1746534823.3627434,20,3,15
1746534851.2549598,20,3,15
1746534879.3591712,20,3,15
1746534908.5137305,20,3,15
1746534935.7477353,20,3,15
1746534967.0643897,20,3,15
1746534996.1027427,20,3,15
1746535023.0837252,20,3,15
1746535051.0900018,20,3,15
1746535078.1598516,20,3,15
1746535106.460991,20,3,15
1746535133.583445,20,3,15
1746535161.783531,20,3,15
1746535188.398121,20,3,15
1746535216.9822078,20,3,15
1746535244.2854316,20,3,15
1746535273.7189589,20,3,15
1746535300.7627606,20,3,15
1746535329.7605886,20,3,15
1746535356.9105172,20,3,15
1746535385.6647499,20,3,15
1746535413.3038452,20,3,15
1746535441.3733783,20,3,15
1746535469.026757,20,3,15
1746535496.1760743,20,3,15
1746535523.3088722,20,3,15
1746535552.3839283,20,3,15
1746535579.9025855,20,3,15
1746535607.0779228,20,3,15
1746535634.1161866,20,3,15
1746535661.3832252,20,3,15
1746535688.178022,20,3,15
1746535716.1496992,20,3,15
1746535744.3071823,20,3,15
1746535772.8210905,20,3,15
1746535801.1342356,20,3,15
1746535830.2131062,20,2,10
1746535852.9956512,20,2,10
1746535875.2339084,20,2,10
1746535897.4985287,20,2,10
1746535919.6316895,20,2,10
1746535941.7371051,20,2,10
1746535963.5530434,20,2,10
1746535987.166038,20,2,10
1746536009.1852322,20,2,10
1746536031.1457605,20,2,10
1746536052.655563,20,2,10
1746536074.4498336,20,2,10
1746536096.58915,20,2,10
1746536118.747763,20,2,10
1746536140.5718715,20,2,10
1746536162.3198156,20,2,10
1746536184.1871357,20,2,10
1746536207.1611023,20,2,10
1746536229.7381706,20,2,10
1746536252.5161529,20,2,10
1746536275.4037728,20,2,10
1746536296.1600695,20,2,10
1746536318.702969,20,2,10
1746536341.4402344,20,2,10
1746536364.3397396,20,2,10
1746536386.9042535,20,2,10
1746536409.3485415,20,2,10
1746536432.0679326,20,2,10
1746536455.055293,20,2,10
1746536476.1528816,20,2,10
1746536498.6924777,20,2,10
1746536521.7535267,20,2,10
1746536544.7806,20,2,10
1746536566.131162,20,2,10
1746536587.2464354,20,2,10
1746536606.6267116,20,2,10
1746536627.7956119,20,2,10
1746536648.9619455,20,2,10
1746536668.6090324,20,2,10
1746536687.1735902,20,2,10
1746536707.9773052,20,2,10
1746536730.1129653,20,2,10
1746536752.1024685,20,2,10
1746536774.07082,20,2,10
1746536794.1783905,20,2,10
1746536815.6268172,20,2,10
1746536837.419745,20,2,10
1746536858.4396963,20,2,10
1746536881.6473322,20,2,10
1746536904.8024316,20,2,10
1746536927.927,20,2,10
1746536948.870064,20,2,10
1746536971.5618393,20,2,10
1746536994.2073894,20,2,10
1746537014.7401915,20,2,10
1746537037.222701,20,1,5
1746537052.5688927,20,1,5
1746537067.6928778,20,1,5
1746537082.7162352,20,1,5
1746537100.5558317,20,1,5
1746537117.2533262,20,1,5
1746537134.145496,20,1,5
1746537150.643509,20,1,5
1746537167.0192044,20,1,5
1746537183.6282878,20,1,5
1746537200.2298975,20,1,5
1746537216.926782,20,1,5
1746537233.493258,20,1,5
1746537250.1345758,20,1,5
1746537268.9061363,20,1,5
1746537285.7362587,20,1,5
1746537302.3890588,20,1,5
1746537318.8466473,20,1,5
1746537335.3696694,20,1,5
1746537351.9390602,20,1,5
1746537368.5027978,20,1,5
1746537385.6144898,20,1,5
1746537402.3651712,20,1,5
1746537419.0259793,20,1,5
1746537436.0248206,20,1,5
1746537454.9197707,20,1,5
1746537471.571499,20,1,5
1746537488.5708609,20,1,5
1746537505.3937607,20,1,5
1746537522.1904476,20,1,5
1746537538.922187,20,1,5
1746537557.3430424,20,1,5
1746537573.9262307,20,1,5
1746537590.6004002,20,1,5
1746537607.2075965,20,1,5
1746537623.5578892,20,1,5
1746537661.7378194,20,0,0
1746538749.0430555,20,0,0
1746538749.6200395,20,0,0
1746538751.6643162,20,1,5
1746538762.9125502,20,1,5
1746539937.888213,20,1,5
1746539938.649687,20,1,5
1746539940.5296845,20,2,10
1746539958.1978202,20,2,10
1746541251.898671,20,2,10
1746541252.5707018,20,2,10
1746541254.4375558,20,3,15
1746541277.5027537,20,3,15
1746542340.0747921,20,3,15
1746542340.694885,20,3,15
1746542343.3047657,20,4,20
1746542355.9510126,20,4,20
1746542373.16014,20,3,15
1746542373.3853328,20,3,15
1746543729.8921568,20,3,15
1746543730.4406817,20,3,15
1746543732.257522,20,4,20
1746543756.3474777,20,4,20
1746544779.477162,20,4,20
1746544780.4319308,20,4,20
1746544782.5050044,20,5,25
1746544813.6674106,20,5,25
1746545943.787671,20,5,25
1746545944.4867735,20,5,25
1746545946.3926175,20,6,30
1746545970.3260837,20,6,30
1746545989.1548605,20,5,25
1746545989.6823502,20,4,20
1746547148.5115888,20,4,20
1746547149.3137374,20,4,20
1746547151.4229958,20,5,25
1746547184.2543805,20,4,20
1746548126.833287,20,4,20
1746548127.5307255,20,4,20
1746548129.4730225,20,5,25
1746548162.7134678,20,5,25
1746549316.4856808,20,5,25
1746549317.391548,20,5,25
1746549319.4851217,20,6,30
1746549344.934426,20,6,30
1746549362.8582788,20,5,25
1746549363.3437045,20,5,25
1746550771.3188026,20,5,25
1746550772.322189,20,5,25
1746550774.5644805,20,6,30
1746550790.4872167,20,6,30
1746550817.6454678,20,5,25
1746550837.0257425,20,4,20
1746550837.207956,20,4,20
1746552491.5100605,20,4,20
1746552492.1349308,20,4,20
1746552493.811854,20,5,25
1746552509.4603949,20,5,25
1746552541.8161163,20,4,20
1746552541.942419,20,4,20
1746553948.5231714,20,4,20
1746553949.424661,20,4,20
1746553951.7079823,20,5,25
1746553967.5617142,20,5,25
1746553989.5607312,20,4,20
1746554009.1730764,20,3,15
1746554009.3159165,20,3,15
1746555180.5537531,20,3,15
1746555181.3634589,20,3,15
1746555183.4522862,20,4,20
1746555199.28471,20,4,20
1746555229.4404397,20,3,15
1746555229.6029108,20,3,15
1746556400.9315288,20,3,15
1746556401.6837177,20,3,15
1746556403.5589306,20,4,20
1746556417.1228979,20,4,20
1746556437.711066,20,3,15
1746556437.8571765,20,3,15
1746558011.036682,20,3,15
1746558011.7172303,20,3,15
1746558013.5883977,20,4,20
1746558029.4634178,20,4,20
1746558046.779334,20,3,15
1746558066.0147815,20,2,10
1746558066.1542647,20,2,10
1746559807.5962934,20,2,10
1746559808.5077975,20,2,10
1746559810.439222,20,3,15
1746559831.9031625,20,3,15
1746560903.268165,20,3,15
1746560903.9880033,20,3,15
1746560905.8811986,20,4,20
1746560935.3782473,20,4,20
1746562106.6113577,20,4,20
1746562107.4376822,20,4,20
1746562109.495927,20,5,25
1746562125.4091406,20,5,25
1746562162.9516692,20,4,20
1746562163.114982,20,4,20
1746563520.9320774,20,4,20
1746563521.7123241,20,4,20
1746563523.565824,20,5,25
1746563548.6253843,20,5,25
1746563561.9056804,20,4,20
1746563562.3627465,20,4,20
1746563592.8457959,20,4,20
1746563627.0049462,20,4,20
1746563660.7046905,20,4,20
1746563695.1086087,20,4,20
1746563729.343234,20,4,20
1746563762.448045,20,4,20
1746563795.5510266,20,4,20
1746563830.4249485,20,4,20
1746563863.586108,20,4,20
1746563898.0910048,20,4,20
1746563931.446364,20,4,20
1746563964.7032661,20,4,20
1746563998.2891984,20,4,20
1746564031.8583055,20,4,20
1746564065.7330568,20,4,20
1746564099.625623,20,4,20
1746564133.3308866,20,4,20
1746564167.6541383,20,4,20
1746564201.927865,20,4,20
1746564237.0040178,20,4,20
1746564272.3104637,20,4,20
1746564307.2905233,20,4,20
1746564340.2274942,20,4,20
1746564374.4955904,20,4,20
1746564408.7921789,20,4,20
1746564441.1426027,20,4,20
1746564475.584801,20,4,20
1746564510.9253273,20,4,20
1746564544.220209,20,4,20
1746564579.051662,20,4,20
1746564612.490864,20,4,20
1746564647.3231497,20,4,20
1746564680.6646833,20,4,20
1746564713.9162145,20,4,20
1746564749.5354657,20,4,20
1746564783.0864918,20,4,20
1746564816.4864395,20,4,20
1746564850.3045096,20,4,20
1746564885.3636658,20,4,20
1746564918.2540953,20,4,20
1746564950.7439654,20,4,20
1746564983.8276525,20,4,20
1746565018.0010657,20,4,20
1746565053.7092981,20,4,20
1746565087.7408936,20,4,20
1746565122.221383,20,4,20
1746565154.651681,20,4,20
1746565186.9085915,20,4,20
1746565219.0420957,20,4,20
1746565252.5278826,20,4,20
1746565286.6222715,20,4,20
1746565320.0947564,20,4,20
1746565353.6396708,20,4,20
1746565387.4574428,20,4,20
1746565421.0936563,20,4,20
1746565441.912895,20,4,20
1746565473.5220668,20,3,15
1746565473.8622875,20,3,15
1746565500.995428,20,3,15
1746565528.1668422,20,3,15
1746565556.5991542,20,3,15
1746565586.8417492,20,3,15
1746565614.9208164,20,3,15
1746565642.9820695,20,3,15
1746565670.866023,20,3,15
1746565701.1367595,20,3,15
1746565728.8299832,20,3,15
1746565756.7033827,20,3,15
1746565784.4452453,20,3,15
1746565812.8732173,20,3,15
1746565843.5786932,20,3,15
1746565872.7419887,20,3,15
1746565901.2222993,20,3,15
1746565930.0879855,20,3,15
1746565957.9022334,20,3,15
1746565987.7842872,20,3,15
1746566015.4167376,20,3,15
1746566045.2904096,20,3,15
1746566073.0413728,20,3,15
1746566101.349199,20,3,15
1746566131.5632148,20,3,15
1746566159.6107838,20,3,15
1746566187.1358194,20,3,15
1746566215.3971338,20,3,15
1746566243.699986,20,3,15
1746566272.0968418,20,3,15
1746566299.24162,20,3,15
1746566327.4047694,20,3,15
1746566356.3661141,20,3,15
1746566383.7182794,20,3,15
1746566412.622226,20,3,15
1746566439.9958868,20,3,15
1746566469.4911425,20,3,15
1746566497.193059,20,3,15
1746566526.6088123,20,3,15
1746566554.6659563,20,3,15
1746566582.1963084,20,3,15
1746566609.9804728,20,3,15
1746566639.5651534,20,3,15
1746566666.9925876,20,3,15
1746566694.6473923,20,3,15
1746566723.0483437,20,3,15
1746566751.5036256,20,3,15
1746566779.7730286,20,3,15
1746566806.2615042,20,3,15
1746566831.8180375,20,3,15
1746566857.1365345,20,3,15
1746566882.9118621,20,3,15
1746566910.2908978,20,3,15
1746566937.6801777,20,3,15
1746566964.8982694,20,3,15
1746566993.0802023,20,3,15
1746567021.3655207,20,3,15
1746567049.6771913,20,3,15
1746567078.2880461,20,3,15
1746567106.287733,20,3,15
1746567134.7917745,20,3,15
1746567163.056701,20,3,15
1746567190.2749243,20,3,15
1746567218.6245034,20,3,15
1746567247.5192423,20,2,10
1746567269.717667,20,2,10
1746567292.4931388,20,2,10
1746567315.3535907,20,2,10
1746567337.2132967,20,2,10
1746567361.1506202,20,2,10
1746567385.0250354,20,2,10
1746567407.1730459,20,2,10
1746567430.2402582,20,2,10
1746567452.0090914,20,2,10
1746567474.985575,20,2,10
1746567496.7577822,20,2,10
1746567519.7284253,20,2,10
1746567541.702525,20,2,10
1746567564.8592181,20,2,10
1746567586.5204608,20,2,10
1746567608.3819368,20,2,10
1746567631.9077888,20,2,10
1746567653.9915082,20,2,10
1746567677.6228113,20,2,10
1746567699.7765167,20,2,10
1746567722.0638387,20,2,10
1746567745.6210372,20,2,10
1746567767.4319265,20,2,10
1746567789.391993,20,2,10
1746567811.4034362,20,2,10
1746567835.0747774,20,2,10
1746567856.962759,20,2,10
1746567878.7046144,20,2,10
1746567901.2117615,20,2,10
1746567924.728067,20,2,10
1746567946.6468716,20,2,10
1746567968.7951803,20,2,10
1746567990.8973765,20,2,10
1746568014.8927855,20,2,10
1746568037.1373818,20,2,10
1746568060.0245068,20,2,10
1746568083.047317,20,2,10
1746568105.4541519,20,2,10
1746568128.4462245,20,2,10
1746568151.1820397,20,2,10
1746568174.503837,20,2,10
1746568197.0079527,20,2,10
1746568221.173158,20,2,10
1746568243.4712825,20,2,10
1746568265.8415868,20,2,10
1746568288.269175,20,2,10
1746568310.604169,20,2,10
1746568333.5710645,20,2,10
1746568356.2215273,20,2,10
1746568378.8798094,20,2,10
1746568401.3450205,20,2,10
1746568423.8750174,20,2,10
1746568447.3157384,20,1,5
1746568463.643057,20,1,5
1746568482.0848632,20,1,5
1746568500.4086862,20,1,5
1746568516.672712,20,1,5
1746568532.8801918,20,1,5
1746568550.4638388,20,1,5
1746568566.172535,20,1,5
1746568581.9825885,20,1,5
1746568597.9188929,20,1,5
1746568615.4989433,20,1,5
1746568630.8853269,20,1,5
1746568646.894906,20,1,5
1746568662.8875844,20,1,5
1746568680.7482324,20,1,5
1746568696.948347,20,1,5
1746568712.9142463,20,1,5
1746568728.6268344,20,1,5
1746568745.949418,20,1,5
1746568761.846922,20,1,5
1746568777.60615,20,1,5
1746568793.4840887,20,1,5
1746568811.163959,20,1,5
1746568827.075986,20,1,5
1746568843.371712,20,1,5
1746568859.5577471,20,1,5
1746568875.317217,20,1,5
1746568893.229251,20,1,5
1746568909.2075536,20,1,5
1746568925.3215232,20,1,5
1746568941.5007915,20,1,5
1746568957.1880639,20,1,5
1746568975.8769042,20,1,5
1746568992.6005847,20,1,5
1746569009.6044416,20,1,5
1746569026.3684516,20,1,5
1746569042.9478133,20,1,5
1746569061.32615,20,1,5
1746569077.582263,20,1,5
1746569094.119722,20,1,5
1746569110.6489084,20,1,5
1746569127.0445805,20,1,5
1746569143.3308952,20,1,5
1746569161.8378658,20,1,5
1746569178.1304533,20,1,5
1746569194.9809241,20,1,5
1746569211.5057452,20,1,5
1746569228.1712618,20,1,5
1746569244.802238,20,1,5
1746569261.6025028,20,1,5
1746569280.4800289,20,1,5
1746569297.311776,20,1,5
1746569313.882179,20,1,5
1746569330.4979193,20,1,5
1746569347.016997,20,1,5
1746569363.8274114,20,1,5
1746569380.3565476,20,1,5
1746569396.91199,20,1,5
1746569415.5926733,20,1,5
1746569432.0779657,20,1,5
1746569448.5996282,20,1,5
1746569465.326794,20,1,5
1746569481.928922,20,1,5
1746569498.5684516,20,1,5
1746569515.071371,20,1,5
1746569531.6414187,20,1,5
1746569548.5663986,20,1,5
1746569567.6270525,20,1,5
1746569584.6109862,20,1,5
1746569601.4985561,20,1,5
1746569618.5439088,20,1,5
1746569635.2229264,20,1,5
1746569672.7990677,20,0,0
1746570958.983084,20,0,0
1746570959.6181514,20,0,0
1746570961.868123,20,1,5
1746570973.521771,20,1,5
1746572107.0152617,20,1,5
1746572107.7829933,20,1,5
1746572109.705105,20,2,10
1746572126.1881115,20,2,10
1746573341.2934089,20,2,10
1746573342.2342408,20,2,10
1746573344.4783869,20,3,15
1746573353.430676,20,3,15
1746573373.0167356,20,2,10
1746573373.2677898,20,2,10
1746574817.523313,20,2,10
1746574818.0290327,20,2,10
1746574819.4745064,20,3,15
1746574841.869185,20,3,15
1746576121.7619154,20,3,15
1746576122.075048,20,3,15
1746576123.5087895,20,4,20
1746576132.804839,20,4,20
1746576147.6218278,20,3,15
1746576147.6936202,20,3,15
1746577660.5293057,20,3,15
1746577661.0658214,20,3,15
1746577662.7791378,20,4,20
1746577687.4279048,20,4,20
1746578785.0719244,20,4,20
1746578785.4435618,20,4,20
1746578787.197519,20,5,25
1746578803.0486913,20,5,25
1746578834.8879242,20,4,20
1746578835.0068297,20,4,20
1746580086.4311614,20,4,20
1746580087.1334832,20,4,20
1746580088.7849052,20,5,25
1746580103.6058764,20,5,25
1746580119.6974945,20,4,20
1746580119.8918235,20,4,20
1746581835.0870414,20,4,20
1746581835.7533476,20,4,20
1746581837.738918,20,5,25
1746581853.5926416,20,5,25
1746581875.5101228,20,4,20
1746581894.1997075,20,3,15
1746581894.3472,20,3,15
1746583519.5423245,20,3,15
1746583520.469033,20,3,15
1746583522.5521407,20,4,20
1746583538.4403203,20,4,20
1746583569.501568,20,3,15
1746583569.675456,20,3,15
1746585822.2540133,20,3,15
1746585823.0429094,20,3,15
1746585825.009041,20,4,20
1746585841.122991,20,4,20
1746585863.9800224,20,3,15
1746585878.0243366,20,2,10
1746585878.1995966,20,2,10
1746587831.069411,20,2,10
1746587831.8258076,20,2,10
1746587833.6753678,20,3,15
1746587858.0666623,20,3,15
1746589420.56237,20,3,15
1746589421.3400164,20,3,15
1746589423.421812,20,4,20
1746589439.243406,20,4,20
1746589471.0624745,20,3,15
1746589471.2210152,20,3,15
1746590950.0962632,20,3,15
1746590950.775812,20,3,15
1746590952.6471567,20,4,20
1746590968.41584,20,4,20
1746590984.8105557,20,3,15
1746591002.8268468,20,2,10
1746591002.9932835,20,2,10
1746592721.8397248,20,2,10
1746592722.5308805,20,2,10
1746592724.483921,20,3,15
1746592731.7095516,20,3,15
1746592750.9588182,20,2,10
1746592751.1313045,20,2,10
1746594697.7271945,20,2,10
1746594698.4155529,20,2,10
1746594700.4957278,20,3,15
1746594708.2025254,20,3,15
1746594727.8036077,20,2,10
1746594727.9526932,20,2,10
1746596522.0176747,20,2,10
1746596522.760992,20,2,10
1746596524.647405,20,3,15
1746596540.5949743,20,3,15
1746596557.8004658,20,2,10
1746596570.8595858,20,1,5
1746596571.049213,20,1,5
1746598938.9951758,20,1,5
1746598939.6196923,20,1,5
1746598941.472804,20,2,10
1746598958.851111,20,2,10
1746601017.969289,20,2,10
1746601018.7187908,20,2,10
1746601021.65401,20,3,15
1746601045.9233663,20,3,15
1746602582.7413805,20,3,15
1746602583.4977338,20,3,15
1746602585.50788,20,4,20
1746602601.3555434,20,4,20
1746602618.7323456,20,3,15
1746602637.7987213,20,2,10
1746602638.147988,20,2,10
1746602657.2392251,20,2,10
1746602681.1415107,20,2,10
1746602703.917466,20,2,10
1746602726.566106,20,2,10
1746602749.9121842,20,2,10
1746602772.324427,20,2,10
1746602795.0645416,20,2,10
1746602819.0621212,20,2,10
1746602842.3263693,20,2,10
1746602865.075438,20,2,10
1746602887.5424514,20,2,10
1746602909.9115348,20,2,10
1746602932.4203887,20,2,10
1746602954.4859397,20,2,10
1746602976.2936645,20,2,10
1746602999.0128646,20,2,10
1746603022.5828261,20,2,10
1746603045.3739572,20,2,10
1746603068.1970367,20,2,10
1746603090.8312836,20,2,10
1746603113.7099745,20,2,10
1746603136.3155348,20,2,10
1746603159.0370407,20,2,10
1746603181.1615725,20,2,10
1746603204.8425229,20,2,10
1746603228.1137943,20,2,10
1746603251.366022,20,2,10
1746603273.5851808,20,2,10
1746603297.536801,20,2,10
1746603320.922494,20,2,10
1746603342.9367225,20,2,10
1746603366.3885562,20,2,10
1746603390.294118,20,2,10
1746603412.7745185,20,2,10
1746603436.6253638,20,2,10
1746603458.7944193,20,2,10
1746603482.2775426,20,2,10
1746603505.6075497,20,2,10
1746603527.848868,20,2,10
1746603551.9641511,20,2,10
1746603575.1167037,20,2,10
1746603599.052026,20,2,10
1746603621.7122972,20,2,10
1746603645.6354613,20,2,10
1746603668.8299823,20,2,10
1746603691.7972102,20,2,10
1746603715.770977,20,2,10
1746603738.167854,20,2,10
1746603762.0740666,20,2,10
1746603784.8599188,20,2,10
1746603808.0334198,20,2,10
1746603832.816027,20,2,10
1746603855.5948734,20,2,10
1746603878.191696,20,2,10
1746603901.875279,20,2,10
1746603923.8427093,20,2,10
1746603945.7594388,20,2,10
1746603967.681489,20,2,10
1746603990.6682801,20,2,10
1746604015.2822797,20,2,10
1746604038.4143527,20,2,10
1746604059.744446,20,2,10
1746604080.1370883,20,2,10
1746604104.1783388,20,2,10
1746604126.6826196,20,2,10
1746604149.4900146,20,2,10
1746604172.332674,20,2,10
1746604194.956954,20,2,10
1746604218.1554644,20,2,10
1746604241.365053,20,2,10
1746604264.9185925,20,2,10
1746604287.7947094,20,2,10
1746604312.3666487,20,2,10
1746604335.3983803,20,2,10
1746604358.2636552,20,2,10
1746604381.0885305,20,2,10
1746604404.0763705,20,2,10
1746604427.249461,20,2,10
1746604448.7958648,20,2,10
1746604470.3789072,20,2,10
1746604491.9794307,20,2,10
1746604513.0570529,20,2,10
1746604536.0032282,20,2,10
1746604556.717607,20,2,10
1746604578.8611622,20,2,10
1746604600.9913416,20,2,10
1746604622.7634563,20,2,10
1746604644.7281141,20,2,10
1746604666.4870057,20,2,10
1746604689.3107433,20,2,10
1746604711.617646,20,2,10
1746604733.788476,20,2,10
1746604756.13249,20,2,10
1746604778.5198262,20,2,10
1746604799.8149874,20,2,10
1746604823.464806,20,2,10
1746604846.0861194,20,2,10
1746604868.5315337,20,2,10
1746604890.9375658,20,2,10
1746604914.2233534,20,2,10
1746604935.9684246,20,2,10
1746604959.7523558,20,2,10
1746604983.5176945,20,2,10
1746605007.1593528,20,2,10
1746605030.7072713,20,2,10
1746605051.982324,20,2,10
1746605075.6541944,20,2,10
1746605099.1520226,20,2,10
1746605123.3630502,20,2,10
1746605145.0177894,20,2,10
1746605169.4069839,20,2,10
1746605193.240385,20,2,10
1746605217.6484592,20,2,10
1746605239.7167351,20,2,10
1746605263.7647216,20,2,10
1746605287.6504798,20,2,10
1746605312.177815,20,2,10
1746605333.8800101,20,2,10
1746605357.6536841,20,2,10
1746605381.4576628,20,2,10
1746605404.091043,20,2,10
1746605428.3935094,20,2,10
1746605452.7719502,20,2,10
1746605474.369097,20,2,10
1746605498.4908662,20,2,10
1746605522.6014705,20,2,10
1746605544.1472075,20,2,10
1746605567.973098,20,2,10
1746605591.8208883,20,2,10
1746605613.31391,20,2,10
1746605637.1722226,20,2,10
1746605661.3166249,20,2,10
1746605683.7348146,20,2,10
1746605707.874775,20,2,10
1746605732.100888,20,2,10
1746605756.014691,20,2,10
1746605780.1171975,20,2,10
1746605801.737922,20,2,10
1746605825.6258054,20,2,10
1746605849.3324673,20,2,10
1746605873.2722135,20,2,10
1746605897.152692,20,2,10
1746605918.8657808,20,2,10
1746605942.724253,20,2,10
1746605965.2935138,20,2,10
1746605988.243385,20,2,10
1746606010.1393292,20,2,10
1746606032.5820706,20,2,10
1746606056.3612413,20,2,10
1746606078.7753458,20,2,10
1746606101.2929564,20,2,10
1746606124.6113925,20,2,10
1746606147.800194,20,2,10
1746606170.1755204,20,2,10
1746606192.5252872,20,2,10
1746606216.4251068,20,1,5
1746606233.6700227,20,1,5
1746606250.8153577,20,1,5
1746606268.7926092,20,1,5
1746606285.837629,20,1,5
1746606302.6772766,20,1,5
1746606319.6949198,20,1,5
1746606337.9234548,20,1,5
1746606354.9954555,20,1,5
1746606372.008177,20,1,5
1746606387.9664714,20,1,5
1746606403.801771,20,1,5
1746606420.4153786,20,1,5
1746606435.6412628,20,1,5
1746606450.746127,20,1,5
1746606466.3689992,20,1,5
1746606482.7684937,20,1,5
1746606500.3666928,20,1,5
1746606516.4080822,20,1,5
1746606532.404151,20,1,5
1746606548.4605188,20,1,5
1746606564.5036247,20,1,5
1746606580.784298,20,1,5
1746606597.443337,20,1,5
1746606614.6919322,20,1,5
1746606631.3648624,20,1,5
1746606647.6972702,20,1,5
1746606664.1989179,20,1,5
1746606679.2335992,20,1,5
1746606694.1277022,20,1,5
1746606709.1419637,20,1,5
1746606724.5609982,20,1,5
1746606741.5089078,20,1,5
1746606758.366226,20,1,5
1746606775.0220528,20,1,5
1746606791.7213855,20,1,5
1746606808.457724,20,1,5
1746606825.034704,20,1,5
1746606842.7884815,20,1,5
1746606860.025764,20,1,5
1746606876.6682658,20,1,5
1746606893.3865073,20,1,5
1746606909.9346778,20,1,5
1746606926.7606905,20,1,5
1746606943.5688088,20,1,5
1746606960.5154219,20,1,5
1746606977.4733403,20,1,5
1746606994.6987128,20,1,5
1746607012.4224913,20,1,5
1746607029.864436,20,1,5
1746607047.2271073,20,1,5
1746607064.849253,20,1,5
1746607081.141313,20,1,5
1746607098.5121403,20,1,5
1746607116.5482035,20,1,5
1746607134.2231915,20,1,5
1746607151.6595688,20,1,5
1746607169.2063007,20,1,5
1746607185.3511918,20,1,5
1746607202.9364057,20,1,5
1746607220.2891068,20,1,5
1746607237.5899177,20,1,5
1746607255.2579648,20,1,5
1746607271.818853,20,1,5
1746607290.017057,20,1,5
1746607307.350921,20,1,5
1746607324.6847286,20,1,5
1746607340.7677672,20,1,5
1746607358.2001443,20,1,5
1746607375.8439941,20,1,5
1746607393.9509628,20,1,5
1746607410.1128156,20,1,5
1746607427.8094773,20,1,5
1746607445.273306,20,1,5
1746607461.4473183,20,1,5
1746607478.9259872,20,1,5
1746607496.377378,20,1,5
1746607512.470428,20,1,5
1746607529.9545038,20,1,5
1746607547.5351088,20,1,5
1746607563.9696777,20,1,5
1746607581.644958,20,1,5
1746607599.2835476,20,1,5
1746607615.4785903,20,1,5
1746607633.0833278,20,1,5
1746607649.232871,20,1,5
1746607667.3522859,20,1,5
1746607685.2719526,20,1,5
1746607701.544856,20,1,5
1746607719.2955182,20,1,5
1746607735.5593405,20,1,5
1746607753.3104084,20,1,5
1746607771.2052898,20,1,5
1746607787.6425517,20,1,5
1746607805.5126743,20,1,5
1746607821.7620616,20,1,5
1746607839.8713586,20,1,5
1746607856.2645688,20,1,5
1746607874.008979,20,1,5
1746607890.1229763,20,1,5
1746607907.8817854,20,1,5
1746607924.251233,20,1,5
1746607942.0121498,20,1,5
1746607958.4534526,20,1,5
1746607975.934747,20,1,5
1746607992.082162,20,1,5
1746608009.95532,20,1,5
1746608026.3989608,20,1,5
1746608045.0129793,20,1,5
1746608061.496328,20,1,5
1746608079.7362313,20,1,5
1746608096.3767915,20,1,5
1746608112.9682274,20,1,5
1746608131.0972595,20,1,5
1746608147.6751075,20,1,5
1746608165.6854312,20,1,5
1746608181.940986,20,1,5
1746608200.0101156,20,1,5
1746608216.3371184,20,1,5
1746608232.7298017,20,1,5
1746608250.7080152,20,1,5
1746608267.5405557,20,1,5
1746608285.8405564,20,1,5
1746608302.1244996,20,1,5
1746608318.4952059,20,1,5
1746608336.5154095,20,1,5
1746608352.7261994,20,1,5
1746608369.018457,20,1,5
1746608387.0597944,20,1,5
1746608403.3093355,20,1,5
1746608419.6189892,20,1,5
1746608437.7684543,20,1,5
1746608454.302661,20,1,5
1746608472.6745286,20,1,5
1746608489.1001751,20,1,5
1746608505.7823777,20,1,5
1746608524.1700344,20,1,5
1746608541.1157062,20,1,5
1746608557.8494139,20,1,5
1746608574.5742574,20,1,5
1746608592.939102,20,1,5
1746608609.5499282,20,1,5
1746608626.0400765,20,1,5
1746608645.0692272,20,1,5
1746608661.7940357,20,1,5
1746608678.4077473,20,1,5
1746608696.975395,20,1,5
1746608713.733191,20,1,5
1746608730.4726675,20,1,5
1746608749.1083016,20,1,5
1746608765.8317795,20,1,5
1746608782.5769343,20,1,5
1746608799.0984898,20,1,5
1746608817.9474008,20,1,5
1746608834.7984571,20,1,5
1746608851.6049504,20,1,5
1746608868.2958148,20,1,5
1746608887.0384731,20,1,5
1746608903.760602,20,1,5
1746608920.5107725,20,1,5
1746608937.2828717,20,1,5
1746608955.609794,20,1,5
1746608971.767599,20,1,5
1746608988.2493277,20,1,5
1746609004.6621006,20,1,5
1746609021.415041,20,1,5
1746609040.302285,20,1,5
1746609056.9328961,20,1,5
1746609073.7758706,20,1,5
1746609090.690124,20,1,5
1746609107.596115,20,1,5
1746609126.2606745,20,1,5
1746609142.91459,20,1,5
1746609159.625895,20,1,5
1746609176.5687807,20,1,5
1746609193.6291032,20,1,5
1746609212.8182805,20,1,5
1746609229.572107,20,1,5
1746609246.36551,20,1,5
1746609263.041623,20,1,5
1746609279.9160204,20,1,5
1746609299.0894728,20,1,5
1746609315.8520274,20,1,5
1746609332.6352427,20,1,5
1746609349.4024684,20,1,5
1746609366.352226,20,1,5
1746609383.2742527,20,1,5
1746609400.1947832,20,1,5
1746609419.192063,20,1,5
1746609435.3855708,20,1,5
1746609451.5487037,20,1,5
1746609467.7286148,20,1,5
1746609484.1955774,20,1,5
1746609500.3762722,20,1,5
1746609516.1843846,20,1,5
1746609534.9423718,20,1,5
1746609551.6319938,20,1,5
1746609568.3166451,20,1,5
1746609585.0323956,20,1,5
1746609601.9671726,20,1,5
1746609618.6269493,20,1,5
1746609635.430911,20,1,5
1746609652.2897859,20,1,5
1746609671.0706096,20,1,5
1746609687.6457164,20,1,5
1746609704.1728663,20,1,5
1746609720.9699326,20,1,5
1746609737.982073,20,1,5
1746609755.006698,20,1,5
1746609771.9403389,20,1,5
1746609789.0751112,20,1,5
1746609806.0458188,20,1,5
1746609822.9409966,20,1,5
1746609840.040177,20,1,5
1746609878.7657647,20,0,0
1746612439.948583,20,0,0
1746612440.64361,20,0,0
1746612443.0833366,20,1,5
1746612454.9360774,20,1,5
1746614421.5096545,20,1,5
1746614422.4704463,20,1,5
1746614424.5377102,20,2,10
1746614426.4888391,20,2,10
1746614447.6058404,20,1,5
1746614447.7797925,20,1,5
1746616700.2996182,20,1,5
1746616701.2217004,20,1,5
1746616703.4642136,20,2,10
1746616720.9213245,20,2,10
1746618488.1349316,20,2,10
1746618488.9529552,20,2,10
1746618491.0684814,20,3,15
1746618500.3470535,20,3,15
1746618520.791096,20,2,10
1746618520.9653702,20,2,10
1746620687.0137718,20,2,10
1746620687.7682307,20,2,10
1746620689.6848817,20,3,15
1746620714.8630712,20,3,15
1746622796.923744,20,3,15
1746622797.6722963,20,3,15
1746622799.6243877,20,4,20
1746622815.5380256,20,4,20
1746622833.615188,20,3,15
1746622855.3465781,20,2,10
1746622855.5245428,20,2,10
1746624803.1075623,20,2,10
1746624803.8078568,20,2,10
1746624805.6062784,20,3,15
1746624831.3846545,20,3,15
1746626788.1047728,20,3,15
1746626788.6403565,20,3,15
1746626790.3081498,20,4,20
1746626806.173798,20,4,20
1746626820.8649669,20,3,15
1746626838.8600116,20,2,10
1746626839.0285504,20,2,10
1746628908.3331838,20,2,10
1746628909.4823928,20,2,10
1746628911.533474,20,3,15
1746628935.940432,20,3,15
1746630993.1363435,20,3,15
1746630993.8849516,20,3,15
1746630995.7529655,20,4,20
1746631011.7375007,20,4,20
1746631028.7716792,20,3,15
1746631047.946935,20,2,10
1746631048.1019566,20,2,10
1746632858.2571733,20,2,10
1746632858.9977489,20,2,10
1746632860.8600843,20,3,15
1746632884.2841663,20,3,15
1746635090.7186468,20,3,15
1746635091.484896,20,3,15
1746635093.5214438,20,4,20
1746635109.6879487,20,4,20
1746635126.012271,20,3,15
1746635144.2630525,20,2,10
1746635144.4108639,20,2,10
1746637192.516505,20,2,10
1746637193.391276,20,2,10
1746637195.4487433,20,3,15
1746637217.9332464,20,3,15
1746639185.6185055,20,3,15
1746639186.4417286,20,3,15
1746639188.565685,20,4,20
1746639204.5747163,20,4,20
1746639235.7094874,20,3,15
1746639235.903763,20,3,15
1746640751.1414502,20,3,15
1746640751.8316011,20,3,15
1746640753.6283605,20,4,20
1746640767.045298,20,4,20
1746640785.063581,20,3,15
1746640785.2557046,20,3,15
1746642602.586829,20,3,15
1746642603.3802912,20,3,15
1746642605.3653579,20,4,20
1746642621.1846888,20,4,20
1746642653.178961,20,3,15
1746642653.357089,20,3,15
1746644368.5082264,20,3,15
1746644369.158931,20,3,15
1746644371.1593125,20,4,20
1746644382.0850942,20,4,20
1746644400.1124706,20,3,15
1746644400.2907126,20,3,15
1746646460.1893115,20,3,15
1746646460.956888,20,3,15
1746646463.5741189,20,4,20
1746646479.4327745,20,4,20
1746646496.8797693,20,3,15
1746646515.7959232,20,2,10
1746646515.9579551,20,2,10
1746648476.257556,20,2,10
1746648476.697707,20,2,10
1746648478.3674088,20,3,15
1746648494.0312827,20,3,15
1746648517.5322783,20,2,10
1746648517.8600962,20,2,10
1746650153.7573855,20,2,10
1746650154.2435865,20,2,10
1746650156.1844387,20,3,15
1746650176.663543,20,3,15
1746650198.3914497,20,3,15
1746650215.01835,20,3,15
1746650226.60039,20,2,10
1746650226.8741012,20,2,10
1746650247.34229,20,2,10
1746650268.5274038,20,2,10
1746650288.408457,20,2,10
1746650308.0930362,20,2,10
1746650330.3122163,20,2,10
1746650350.7674274,20,2,10
1746650372.17124,20,2,10
1746650393.3867345,20,2,10
1746650413.2875686,20,2,10
1746650433.0239205,20,2,10
1746650453.197751,20,2,10
1746650472.9819064,20,2,10
1746650493.7876115,20,2,10
1746650514.3678718,20,2,10
1746650534.8851216,20,2,10
1746650555.2957742,20,2,10
1746650575.9222658,20,2,10
1746650596.9282334,20,2,10
1746650616.921871,20,2,10
1746650637.5003521,20,2,10
1746650658.5500736,20,2,10
1746650679.041096,20,2,10
1746650700.8494248,20,2,10
1746650722.206346,20,2,10
1746650743.30963,20,2,10
1746650763.58173,20,2,10
1746650784.9583547,20,2,10
1746650806.1947505,20,2,10
1746650827.4651206,20,2,10
1746650847.582425,20,2,10
1746650868.654737,20,2,10
1746650888.7354481,20,2,10
1746650909.5282798,20,2,10
1746650931.052526,20,2,10
1746650950.8727922,20,2,10
1746650971.7373245,20,2,10
1746650992.0455809,20,2,10
1746651013.61874,20,2,10
1746651033.7745872,20,2,10
1746651055.1760917,20,2,10
1746651075.478759,20,2,10
1746651096.448034,20,2,10
1746651116.6641247,20,2,10
1746651138.4914079,20,2,10
1746651159.1525202,20,2,10
1746651180.0765378,20,2,10
1746651202.478878,20,2,10
1746651223.4391003,20,2,10
1746651243.7394922,20,2,10
1746651265.1706066,20,2,10
1746651285.0251997,20,2,10
1746651305.5711963,20,2,10
1746651327.1363506,20,2,10
1746651347.612808,20,2,10
1746651367.9410622,20,2,10
1746651388.5088522,20,2,10
1746651410.6867354,20,2,10
1746651431.3136883,20,2,10
1746651452.141684,20,2,10
1746651473.127008,20,2,10
1746651493.8538837,20,2,10
1746651514.7463484,20,2,10
1746651537.1522334,20,2,10
1746651557.7139716,20,2,10
1746651578.379344,20,2,10
1746651598.409581,20,2,10
1746651617.9410856,20,2,10
1746651637.0022085,20,2,10
1746651656.6225011,20,2,10
1746651676.0618193,20,2,10
1746651696.5637412,20,2,10
1746651717.1354482,20,2,10
1746651737.4984066,20,2,10
1746651757.761618,20,2,10
1746651777.9091988,20,2,10
1746651798.5129268,20,2,10
1746651819.0065756,20,2,10
1746651840.1255975,20,2,10
1746651860.917517,20,2,10
1746651882.0011282,20,2,10
1746651900.060433,20,2,10
1746651920.3528202,20,2,10
1746651940.966204,20,2,10
1746651961.9784229,20,2,10
1746651982.9353347,20,2,10
1746652003.9337611,20,2,10
1746652025.468043,20,2,10
1746652046.7021697,20,2,10
1746652067.8401365,20,2,10
1746652089.303548,20,2,10
1746652110.5691907,20,2,10
1746652130.0488694,20,2,10
1746652150.7997994,20,2,10
1746652171.7643433,20,2,10
1746652192.761928,20,2,10
1746652213.8744624,20,2,10
1746652234.944909,20,2,10
1746652255.9222128,20,2,10
1746652275.4017186,20,2,10
1746652296.0082273,20,2,10
1746652317.6670973,20,2,10
1746652339.0254154,20,2,10
1746652359.2060988,20,2,10
1746652380.4800007,20,2,10
1746652401.4620235,20,2,10
1746652422.3622475,20,2,10
1746652443.5764732,20,2,10
1746652463.0854847,20,2,10
1746652484.475859,20,2,10
1746652505.9020452,20,2,10
1746652527.6838748,20,2,10
1746652547.656562,20,2,10
1746652569.0870125,20,2,10
1746652590.721354,20,2,10
1746652610.3069293,20,2,10
1746652631.4846995,20,2,10
1746652652.423109,20,2,10
1746652673.5696492,20,2,10
1746652692.6473148,20,2,10
1746652714.4025202,20,2,10
1746652736.1623237,20,2,10
1746652755.791239,20,2,10
1746652777.260856,20,2,10
1746652798.27521,20,2,10
1746652817.8854258,20,2,10
1746652838.5885563,20,2,10
1746652860.1289566,20,2,10
1746652879.690917,20,2,10
1746652900.9518008,20,2,10
1746652921.5349538,20,2,10
1746652942.8405466,20,2,10
1746652964.4811826,20,2,10
1746652984.449463,20,2,10
1746653006.2222195,20,2,10
1746653027.606298,20,2,10
1746653049.2121577,20,2,10
1746653070.8486032,20,2,10
1746653090.7035751,20,2,10
1746653112.7098222,20,2,10
1746653132.9809785,20,2,10
1746653153.1293037,20,2,10
1746653172.6376169,20,2,10
1746653192.8808477,20,2,10
1746653213.628256,20,2,10
1746653233.9168804,20,2,10
1746653255.0157807,20,2,10
1746653275.426992,20,2,10
1746653296.344727,20,2,10
1746653316.1500995,20,2,10
1746653337.7457922,20,2,10
1746653357.9476304,20,2,10
1746653378.6131613,20,2,10
1746653398.6560423,20,2,10
1746653419.468492,20,2,10
1746653440.4369712,20,2,10
1746653460.35089,20,2,10
1746653481.3333085,20,2,10
1746653501.6416893,20,2,10
1746653522.0506225,20,2,10
1746653543.0128229,20,2,10
1746653563.306942,20,2,10
1746653584.2704818,20,2,10
1746653605.040062,20,2,10
1746653626.0007327,20,2,10
1746653645.985297,20,2,10
1746653666.5644963,20,2,10
1746653687.4104927,20,2,10
1746653708.904701,20,2,10
1746653730.0581808,20,2,10
1746653750.4763165,20,2,10
1746653770.8630698,20,2,10
1746653791.3003747,20,2,10
1746653811.5606792,20,2,10
1746653831.9161382,20,2,10
1746653851.7039673,20,2,10
1746653871.9932094,20,2,10
1746653892.3937252,20,2,10
1746653913.0815642,20,2,10
1746653933.9418573,20,2,10
1746653954.218591,20,2,10
1746653973.7868955,20,2,10
1746653993.8800225,20,2,10
1746654013.9981923,20,1,5
1746654028.7801826,20,1,5
1746654044.4733024,20,1,5
1746654060.0734968,20,1,5
1746654075.3823986,20,1,5
1746654090.4018834,20,1,5
1746654105.9665797,20,1,5
1746654121.8913963,20,1,5
1746654136.9796295,20,1,5
1746654153.1892893,20,1,5
1746654169.2156692,20,1,5
1746654185.04224,20,1,5
1746654200.7908583,20,1,5
1746654216.8196633,20,1,5
1746654231.2365146,20,1,5
1746654247.1585,20,1,5
1746654263.4448307,20,1,5
1746654279.5823984,20,1,5
1746654295.517663,20,1,5
1746654309.9295976,20,1,5
1746654324.7923026,20,1,5
1746654339.6852396,20,1,5
1746654355.2709625,20,1,5
1746654371.5626416,20,1,5
1746654387.7576659,20,1,5
1746654403.8591976,20,1,5
1746654419.926392,20,1,5
1746654434.60931,20,1,5
1746654450.6948047,20,1,5
1746654466.8750186,20,1,5
1746654481.6180274,20,1,5
1746654498.009111,20,1,5
1746654514.2506557,20,1,5
1746654529.4344573,20,1,5
1746654545.72414,20,1,5
1746654561.709027,20,1,5
1746654576.5471754,20,1,5
1746654592.6284938,20,1,5
1746654608.6410992,20,1,5
1746654623.7874308,20,1,5
1746654639.8622332,20,1,5
1746654654.3964324,20,1,5
1746654669.8763716,20,1,5
1746654684.9749746,20,1,5
1746654699.3080032,20,1,5
1746654715.136018,20,1,5
1746654729.6002192,20,1,5
1746654745.388948,20,1,5
1746654761.8332038,20,1,5
1746654777.408828,20,1,5
1746654793.791337,20,1,5
1746654808.7688901,20,1,5
1746654825.0167398,20,1,5
1746654839.887757,20,1,5
1746654856.1060247,20,1,5
1746654871.4019039,20,1,5
1746654887.452537,20,1,5
1746654902.1798823,20,1,5
1746654918.1373944,20,1,5
1746654932.9788172,20,1,5
1746654949.075549,20,1,5
1746654963.9215055,20,1,5
1746654980.4057148,20,1,5
1746654995.5534403,20,1,5
1746655012.5301728,20,1,5
1746655027.9136279,20,1,5
1746655044.5746732,20,1,5
1746655059.9122274,20,1,5
1746655076.7407086,20,1,5
1746655092.1286666,20,1,5
1746655108.776158,20,1,5
1746655124.1215878,20,1,5
1746655140.9773138,20,1,5
1746655156.157018,20,1,5
1746655171.124931,20,1,5
1746655186.9578114,20,1,5
1746655201.9350011,20,1,5
1746655220.42327,20,1,5
1746655237.4727786,20,1,5
1746655254.2657647,20,1,5
1746655272.5820622,20,1,5
1746655289.297905,20,1,5
1746655305.9226823,20,1,5
1746655324.1283853,20,1,5
1746655340.5510008,20,1,5
1746655358.86533,20,1,5
1746655375.3690462,20,1,5
1746655391.899349,20,1,5
1746655410.186547,20,1,5
1746655426.367739,20,1,5
1746655442.6993496,20,1,5
1746655460.8910275,20,1,5
1746655477.317387,20,1,5
1746655493.8788059,20,1,5
1746655512.6368608,20,1,5
1746655528.9572034,20,1,5
1746655545.3129835,20,1,5
1746655563.3411627,20,1,5
1746655579.9703603,20,1,5
1746655596.7548287,20,1,5
1746655613.280867,20,1,5
1746655631.7900395,20,1,5
1746655648.4069412,20,1,5
1746655665.4821155,20,1,5
1746655685.056572,20,1,5
1746655701.939078,20,1,5
1746655718.6919594,20,1,5
1746655735.4127607,20,1,5
1746655754.149527,20,1,5
1746655770.9137216,20,1,5
1746655788.1733873,20,1,5
1746655805.1515605,20,1,5
1746655842.4186943,20,0,0
1746657233.632898,20,0,0
1746657234.3037283,20,0,0
1746657237.8014526,20,1,5
1746657249.9624546,20,1,5
1746658680.4951751,20,1,5
1746658681.3962483,20,1,5
1746658683.4476764,20,2,10
1746658701.7130885,20,2,10
1746660174.5038218,20,2,10
1746660175.4607933,20,2,10
1746660177.545486,20,3,15
1746660184.4233556,20,3,15
1746660203.9097273,20,2,10
1746660204.0796127,20,2,10
1746662388.255083,20,2,10
1746662389.0194585,20,2,10
1746662390.9393208,20,3,15
1746662415.8948212,20,3,15
1746664489.5419042,20,3,15
1746664490.4584675,20,3,15
1746664492.536674,20,4,20
1746664508.422507,20,4,20
1746664524.8543417,20,3,15
1746664545.4205494,20,2,10
1746664545.6015666,20,2,10
1746666732.8176084,20,2,10
1746666733.5282586,20,2,10
1746666735.5408018,20,3,15
1746666760.9019868,20,3,15
1746668724.973175,20,3,15
1746668725.677449,20,3,15
1746668727.5655882,20,4,20
1746668743.4273984,20,4,20
1746668761.7512646,20,3,15
1746668769.6293874,20,2,10
1746668784.7590466,20,1,5
1746668784.9166713,20,1,5
1746670626.742014,20,1,5
1746670627.446349,20,1,5
1746670629.5155306,20,2,10
1746670646.2345648,20,2,10
1746672175.3155024,20,2,10
1746672176.3290586,20,2,10
1746672178.536809,20,3,15
1746672194.428315,20,3,15
1746672222.660801,20,2,10
1746672222.9105453,20,2,10
1746673639.5812535,20,2,10
1746673640.3815114,20,2,10
1746673642.4822607,20,3,15
1746673668.1757855,20,3,15
1746675136.3723397,20,3,15
1746675137.3933778,20,3,15
1746675139.4737644,20,4,20
1746675169.5699542,20,4,20
1746676836.0661972,20,4,20
1746676836.801093,20,4,20
1746676838.6175375,20,5,25
1746676874.2825048,20,5,25
1746678208.5617204,20,5,25
1746678209.4413671,20,5,25
1746678211.5212708,20,6,30
1746678227.4451842,20,6,30
1746678254.8868809,20,5,25
1746678274.7386818,20,4,20
1746678274.8671982,20,4,20
1746680133.1768293,20,4,20
1746680133.8680778,20,4,20
1746680135.6801982,20,5,25
1746680151.463858,20,5,25
1746680188.3424323,20,4,20
1746680188.527763,20,4,20
1746681944.8967957,20,4,20
1746681945.6615093,20,4,20
1746681947.5204449,20,5,25
1746681963.395229,20,5,25
1746681987.2905533,20,4,20
1746681995.097148,20,3,15
1746682009.9812,20,2,10
1746682010.1202416,20,2,10
1746683703.2925177,20,2,10
1746683704.2265432,20,2,10
1746683706.3546965,20,3,15
1746683722.2083962,20,3,15
1746683748.5755973,20,2,10
1746683748.9161785,20,2,10
1746685897.5702944,20,2,10
1746685898.4123285,20,2,10
1746685900.5371928,20,3,15
1746685916.5270565,20,3,15
1746685928.5814335,20,2,10
1746685946.9118953,20,1,5
1746685947.0569925,20,1,5
1746687843.0243037,20,1,5
1746687843.6196663,20,1,5
1746687845.3924537,20,2,10
1746687862.8814864,20,2,10
1746689934.910671,20,2,10
1746689935.6176617,20,2,10
1746689937.4652526,20,3,15
1746689944.3070798,20,3,15
1746689964.6215813,20,2,10
1746689964.753474,20,2,10
1746691864.497149,20,2,10
1746691865.409105,20,2,10
1746691867.4250178,20,3,15
1746691893.2991219,20,3,15
1746691905.9026215,20,3,15
1746691918.8471758,20,2,10
1746691920.3855672,20,2,10
1746691944.0998673,20,2,10
1746691968.1447647,20,2,10
1746691991.8665576,20,2,10
1746692013.1021452,20,2,10
1746692036.1273656,20,2,10
1746692059.4669995,20,2,10
1746692082.415376,20,2,10
1746692106.439434,20,2,10
1746692130.4050376,20,2,10
1746692152.1547701,20,2,10
1746692176.0665166,20,2,10
1746692198.482211,20,2,10
1746692221.4275305,20,2,10
1746692244.8840413,20,2,10
1746692267.021379,20,2,10
1746692290.011596,20,2,10
1746692311.8387988,20,2,10
1746692334.403419,20,2,10
1746692357.0602918,20,2,10
1746692379.4469888,20,2,10
1746692403.237576,20,2,10
1746692425.8779013,20,2,10
1746692448.2725146,20,2,10
1746692471.557393,20,2,10
1746692493.7782526,20,2,10
1746692516.5979836,20,2,10
1746692539.6593244,20,2,10
1746692561.9715374,20,2,10
1746692585.5589075,20,2,10
1746692607.9401531,20,2,10
1746692630.1175416,20,2,10
1746692653.531786,20,2,10
1746692675.8810601,20,2,10
1746692698.5099945,20,2,10
1746692721.6635113,20,2,10
1746692743.7202058,20,2,10
1746692765.652618,20,2,10
1746692788.4537718,20,2,10
1746692812.2135623,20,2,10
1746692834.7964299,20,2,10
1746692857.4364622,20,2,10
1746692880.2961183,20,2,10
1746692902.8351169,20,2,10
1746692926.6971464,20,2,10
1746692949.310221,20,2,10
1746692972.5181527,20,2,10
1746692995.1507738,20,2,10
1746693017.9844112,20,2,10
1746693040.7414644,20,2,10
1746693063.7121792,20,2,10
1746693086.8449237,20,2,10
1746693109.6349392,20,2,10
1746693132.4701397,20,2,10
1746693155.043828,20,2,10
1746693177.6980362,20,2,10
1746693200.4180593,20,2,10
1746693223.4521,20,2,10
1746693247.2142303,20,2,10
1746693270.3235276,20,2,10
1746693293.3077905,20,2,10
1746693315.3547084,20,2,10
1746693338.5212748,20,2,10
1746693361.8791692,20,2,10
1746693384.97452,20,2,10
1746693406.981844,20,2,10
1746693428.5809329,20,2,10
1746693448.359817,20,1,5
1746693448.622063,20,1,5
1746693465.1065464,20,1,5
1746693481.0928898,20,1,5
1746693497.493859,20,1,5
1746693512.652091,20,1,5
1746693528.8780887,20,1,5
1746693545.1552072,20,1,5
1746693561.3467386,20,1,5
1746693576.7115874,20,1,5
1746693592.8392467,20,1,5
1746693609.4329019,20,1,5
1746693626.3149972,20,1,5
1746693642.5947654,20,1,5
1746693660.2775137,20,1,5
1746693677.8400326,20,1,5
1746693694.1548653,20,1,5
1746693711.7664623,20,1,5
1746693729.5282469,20,1,5
1746693746.0945356,20,1,5
1746693763.5205984,20,1,5
1746693780.95692,20,1,5
1746693796.807186,20,1,5
1746693814.411559,20,1,5
1746693832.1983955,20,1,5
1746693848.535801,20,1,5
1746693866.2818897,20,1,5
1746693882.574566,20,1,5
1746693900.2954273,20,1,5
1746693918.5197735,20,1,5
1746693934.6929538,20,1,5
1746693952.374467,20,1,5
1746693968.480864,20,1,5
1746693985.8957925,20,1,5
1746694002.039011,20,1,5
1746694020.2739422,20,1,5
1746694038.3540432,20,1,5
1746694054.8870173,20,1,5
1746694072.8686905,20,1,5
1746694089.1192765,20,1,5
1746694107.0859563,20,1,5
1746694123.2910497,20,1,5
1746694141.1467412,20,1,5
1746694157.470282,20,1,5
1746694175.3833067,20,1,5
1746694192.0656567,20,1,5
1746694209.436067,20,1,5
1746694224.3500497,20,1,5
1746694240.4839902,20,1,5
1746694256.411412,20,1,5
1746694273.9976768,20,1,5
1746694290.8271954,20,1,5
1746694309.0832162,20,1,5
1746694325.6857462,20,1,5
1746694344.0203314,20,1,5
1746694360.5980825,20,1,5
1746694377.027729,20,1,5
1746694394.6823955,20,1,5
1746694410.6934848,20,1,5
1746694428.7362502,20,1,5
1746694445.0787792,20,1,5
1746694463.4180179,20,1,5
1746694480.1795924,20,1,5
1746694496.8778908,20,1,5
1746694515.4675398,20,1,5
1746694532.2266145,20,1,5
1746694548.928321,20,1,5
1746694567.6512218,20,1,5
1746694584.4985676,20,1,5
1746694603.3112326,20,1,5
1746694620.0047708,20,1,5
1746694637.073321,20,1,5
1746694655.7278879,20,1,5
1746694672.548515,20,1,5
1746694689.3442745,20,1,5
1746694708.0127206,20,1,5
1746694724.5994775,20,1,5
1746694741.4341655,20,1,5
1746694760.709964,20,1,5
1746694777.4794,20,1,5
1746694794.4319365,20,1,5
1746694813.2411375,20,1,5
1746694830.038,20,1,5
1746694846.8785393,20,1,5
1746694864.2304544,20,1,5
1746694883.1636806,20,1,5
1746694900.1664686,20,1,5
1746694917.1295903,20,1,5
1746694936.1614063,20,1,5
1746694952.9936259,20,1,5
1746694969.996778,20,1,5
1746694986.8435106,20,1,5
1746695005.4951446,20,1,5
1746695022.4004552,20,1,5
1746695039.6352868,20,1,5
1746695056.4485304,20,1,5
1746695075.4188385,20,1,5
1746695092.3129582,20,1,5
1746695109.1276784,20,1,5
1746695125.9294884,20,1,5
1746695145.3411777,20,1,5
1746695162.39403,20,1,5
1746695179.4152763,20,1,5
1746695196.4485452,20,1,5
1746695217.8500373,20,1,5
1746695235.1361153,20,1,5
1746695251.9273577,20,1,5
1746695268.6581008,20,1,5
1746695287.3782072,20,1,5
1746695304.101048,20,1,5
1746695321.205121,20,1,5
1746695338.3447297,20,1,5
1746695355.2138941,20,1,5
1746695374.2713454,20,1,5
1746695391.3593402,20,1,5
1746695408.4514015,20,1,5
1746695425.5288444,20,1,5
1746695442.6334696,20,1,5
1746695459.9010732,20,1,5
1746695478.998683,20,1,5
1746695496.188988,20,1,5
1746695513.2368298,20,1,5
1746695530.4343402,20,1,5
1746695547.2082565,20,1,5
1746695566.2979684,20,1,5
1746695583.350704,20,1,5
1746695600.4220634,20,1,5
1746695617.6586022,20,1,5
1746695635.034238,20,1,5
1746695652.1241014,20,1,5
1746695669.3107202,20,1,5
1746695688.5661333,20,1,5
1746695705.6455586,20,1,5
1746695722.7982378,20,1,5
1746695739.8853421,20,1,5
1746695756.767506,20,1,5
1746695773.734604,20,1,5
1746695790.832938,20,1,5
1746695810.1795273,20,1,5
1746695827.2428536,20,1,5
1746695844.2493134,20,1,5
1746695861.375545,20,1,5
1746695878.5870645,20,1,5
1746695895.5126705,20,1,5
1746695912.4874883,20,1,5
1746695929.0568986,20,1,5
1746695947.8015857,20,1,5
1746695964.5581908,20,1,5
1746695981.0025535,20,1,5
1746695998.02278,20,1,5
1746696015.068705,20,1,5
1746696031.9580622,20,1,5
1746696048.6271842,20,1,5
1746696067.3845568,20,1,5
1746696084.105532,20,1,5
1746696101.2483597,20,1,5
1746696118.1306224,20,1,5
1746696136.871231,20,1,5
1746696153.7442522,20,1,5
1746696170.750342,20,1,5
1746696187.9210684,20,1,5
1746696206.9675593,20,1,5
1746696224.0750513,20,1,5
1746696241.039111,20,1,5
1746696258.0436099,20,1,5
1746696274.8868473,20,1,5
1746696294.2052507,20,1,5
1746696311.289933,20,1,5
1746696328.1872199,20,1,5
1746696344.8538668,20,1,5
1746696362.4721158,20,1,5
1746696379.3636281,20,1,5
1746696396.1591582,20,1,5
1746696413.7378695,20,1,5
1746696430.4363875,20,1,5
1746696447.9844875,20,1,5
1746696464.8383408,20,1,5
1746696481.7511153,20,1,5
1746696499.9112,20,1,5
1746696516.7656202,20,1,5
1746696533.5096097,20,1,5
1746696551.4578226,20,1,5
1746696568.2628357,20,1,5
1746696585.2206168,20,1,5
1746696603.576453,20,1,5
1746696620.5142303,20,1,5
1746696637.5020268,20,1,5
1746696654.4220526,20,1,5
1746696672.3450198,20,1,5
1746696689.2831182,20,1,5
1746696706.484826,20,1,5
1746696723.6473262,20,1,5
1746696741.8427432,20,1,5
1746696758.8365793,20,1,5
1746696775.6427748,20,1,5
1746696792.6305046,20,1,5
1746696810.6328418,20,1,5
1746696827.4670577,20,1,5
1746696844.4668837,20,1,5
1746696862.3987417,20,1,5
1746696879.547219,20,1,5
1746696897.101336,20,1,5
1746696914.2633917,20,1,5
1746696930.706271,20,1,5
1746696946.9860432,20,1,5
1746696963.897979,20,1,5
1746696979.4612281,20,1,5
1746696996.7214909,20,1,5
1746697014.1482425,20,1,5
1746697033.1042852,20,1,5
1746697050.500866,20,1,5
1746697067.5396302,20,1,5
1746697084.6026678,20,1,5
1746697101.5534859,20,1,5
1746697118.7703245,20,1,5
1746697135.9691803,20,1,5
1746697153.0572038,20,1,5
1746697171.7733674,20,1,5
1746697189.034104,20,1,5
1746697206.198451,20,1,5
1746697223.2929852,20,1,5
1746697240.3056033,20,1,5
1746697257.5822587,20,1,5
1746697275.2310574,20,1,5
1746697292.741431,20,1,5
1746697310.087429,20,1,5
1746697327.3425164,20,1,5
1746697344.7178142,20,1,5
1746697362.183151,20,1,5
1746697379.4680486,20,1,5
1746697396.614108,20,1,5
1746697413.8509881,20,1,5
1746697431.4842741,20,1,5
1746697448.9534225,20,1,5
1746697466.825211,20,1,5
1746697484.338144,20,1,5
1746697501.5422325,20,1,5
1746697518.8126268,20,1,5
1746697536.1350954,20,1,5
1746697553.481975,20,1,5
1746697571.0511155,20,1,5
1746697588.426711,20,1,5
1746697605.884383,20,1,5
1746697623.4849849,20,1,5
1746697660.3754396,20,0,0
1746699793.3320103,20,0,0
1746699794.0149314,20,0,0
1746699796.501402,20,1,5
1746699809.899417,20,1,5
1746701634.6736138,20,1,5
1746701635.436875,20,1,5
1746701637.5254223,20,2,10
1746701656.802369,20,2,10
1746703532.8063674,20,2,10
1746703533.572167,20,2,10
1746703535.4984934,20,3,15
1746703559.355587,20,3,15
1746705382.385002,20,3,15
1746705383.382089,20,3,15
1746705385.4197752,20,4,20
1746705404.6368208,20,4,20
1746705418.7846177,20,3,15
1746705418.9575133,20,3,15
1746707944.9487588,20,3,15
1746707945.631157,20,3,15
1746707947.5463178,20,4,20
1746707963.4184394,20,4,20
1746707996.8540983,20,3,15
1746707997.0188727,20,3,15
1746709858.4860146,20,3,15
1746709859.4794755,20,3,15
1746709861.4789836,20,4,20
1746709877.3548331,20,4,20
1746709912.603116,20,3,15
1746709912.7729282,20,3,15
1746712024.3449209,20,3,15
1746712025.3917537,20,3,15
1746712027.5012057,20,4,20
1746712043.358452,20,4,20
1746712078.0237434,20,3,15
1746712078.7999156,20,3,15
1746714736.7768626,20,3,15
1746714737.5558128,20,3,15
1746714739.5569756,20,4,20
1746714769.9498506,20,4,20
1746717335.4006846,20,4,20
1746717336.4060416,20,4,20
1746717340.5036266,20,5,25
1746717356.4610975,20,5,25
1746717382.1862748,20,4,20
1746717415.8081877,20,3,15
1746717415.994325,20,3,15
1746719577.3479865,20,3,15
1746719578.3686197,20,3,15
1746719580.4530053,20,4,20
1746719596.2614386,20,4,20
1746719629.6594968,20,3,15
1746719629.8315504,20,3,15
1746721815.9150271,20,3,15
1746721816.6284368,20,3,15
1746721818.4821143,20,4,20
1746721848.868723,20,4,20
1746724100.4022415,20,4,20
1746724101.3902185,20,4,20
1746724103.475895,20,5,25
1746724119.4480495,20,5,25
1746724150.0314047,20,4,20
1746724163.661146,20,3,15
1746724163.8380427,20,3,15
1746726251.4643595,20,3,15
1746726252.0246994,20,3,15
1746726253.7398758,20,4,20
1746726273.427834,20,4,20
1746726304.8495305,20,3,15
1746726305.048706,20,3,15
1746729013.1584487,20,3,15
1746729013.929618,20,3,15
1746729015.8269143,20,4,20
1746729031.745394,20,4,20
1746729050.3330767,20,3,15
1746729060.1697211,20,2,10
1746729074.6597474,20,1,5
1746729075.0796695,20,0,0
1746730937.7278848,20,0,0
1746730938.181191,20,0,0
1746730940.282176,20,1,5
1746730952.3085222,20,1,5
1746732220.9779077,20,1,5
1746732221.6497037,20,1,5
1746732223.359499,20,2,10
1746732239.8561072,20,2,10
1746733818.752126,20,2,10
1746733819.3069701,20,2,10
1746733821.2508807,20,3,15
1746733841.1774287,20,3,15
1746735245.9863636,20,3,15
1746735246.5016634,20,3,15
1746735248.2239125,20,4,20
1746735274.7117662,20,4,20
1746736570.3891587,20,4,20
1746736571.015543,20,4,20
1746736572.434889,20,5,25
1746736603.2590714,20,5,25
1746738372.2818174,20,5,25
1746738372.9320147,20,5,25
1746738374.663915,20,6,30
1746738390.5670798,20,6,30
1746738426.1792848,20,5,25
1746738439.2033918,20,4,20
1746738439.520285,20,4,20
1746738471.7830625,20,4,20
1746738508.4365523,20,4,20
1746738543.0227754,20,4,20
1746738579.6331325,20,4,20
1746738613.317205,20,4,20
1746738649.0177085,20,4,20
1746738684.367259,20,4,20
1746738721.321912,20,4,20
1746738755.9279692,20,4,20
1746738791.0323346,20,4,20
1746738825.7061543,20,4,20
1746738862.8081894,20,4,20
1746738898.2733953,20,4,20
1746738933.7878134,20,4,20
1746738968.7951248,20,4,20
1746739005.2825863,20,4,20
1746739040.3520288,20,4,20
1746739073.9017224,20,4,20
1746739107.9131224,20,4,20
1746739142.7526166,20,4,20
1746739178.3573472,20,4,20
1746739215.4492137,20,4,20
1746739250.8351111,20,4,20
1746739286.658857,20,4,20
1746739321.5231872,20,4,20
1746739357.2069955,20,4,20
1746739392.7148478,20,4,20
1746739428.0331492,20,4,20
1746739463.566495,20,4,20
1746739498.8837361,20,4,20
1746739534.1616096,20,4,20
1746739569.1374278,20,4,20
1746739603.9971344,20,4,20
1746739624.6383007,20,4,20
1746739657.7429013,20,3,15
1746739658.0347815,20,3,15
1746739686.9036813,20,3,15
1746739715.5176759,20,3,15
1746739746.7608352,20,3,15
1746739775.9281118,20,3,15
1746739805.3032837,20,3,15
1746739836.9364445,20,3,15
1746739865.9649656,20,3,15
1746739894.507393,20,3,15
1746739925.150258,20,3,15
1746739953.6499455,20,3,15
1746739984.2469954,20,3,15
1746740013.5892112,20,3,15
1746740044.7681572,20,3,15
1746740073.7158384,20,3,15
1746740104.6563263,20,3,15
1746740134.0109682,20,3,15
1746740163.3638992,20,3,15
1746740192.521778,20,3,15
1746740222.570924,20,3,15
1746740252.1015933,20,3,15
1746740280.5526464,20,3,15
1746740310.2738662,20,3,15
1746740339.162308,20,3,15
1746740366.5072875,20,3,15
1746740394.031441,20,3,15
1746740424.6535156,20,3,15
1746740453.5367415,20,3,15
1746740482.873342,20,3,15
1746740511.4693122,20,3,15
1746740540.793875,20,3,15
1746740568.3776278,20,3,15
1746740598.438099,20,3,15
1746740627.4151833,20,3,15
1746740657.9783094,20,3,15
1746740686.7125933,20,3,15
1746740717.182604,20,3,15
1746740743.813262,20,3,15
1746740772.5705726,20,3,15
1746740802.8312678,20,3,15
1746740832.4375124,20,3,15
1746740861.743519,20,3,15
1746740891.4822354,20,3,15
1746740920.9823742,20,3,15
1746740947.8128192,20,3,15
1746740974.1638436,20,3,15
1746741001.2771897,20,3,15
1746741029.2132275,20,3,15
1746741058.515048,20,3,15
1746741087.1957107,20,3,15
1746741115.5463562,20,3,15
1746741144.0154722,20,3,15
1746741173.4250283,20,3,15
1746741202.0654037,20,3,15
1746741229.9642513,20,3,15
1746741259.2924833,20,3,15
1746741289.5144293,20,3,15
1746741318.5217555,20,3,15
1746741348.5220118,20,3,15
1746741379.1247327,20,3,15
1746741408.8804047,20,3,15
1746741429.6491356,20,3,15
1746741457.804916,20,2,10
1746741458.1193516,20,2,10
1746741481.0033453,20,2,10
1746741505.4603624,20,2,10
1746741529.7261968,20,2,10
1746741552.532107,20,2,10
1746741577.400418,20,2,10
1746741600.3975844,20,2,10
1746741624.4061334,20,2,10
1746741646.966496,20,2,10
1746741670.8773944,20,2,10
1746741693.5957043,20,2,10
1746741718.4303608,20,2,10
1746741741.5128548,20,2,10
1746741764.906016,20,2,10
1746741789.2870593,20,2,10
1746741812.3194242,20,2,10
1746741836.9372537,20,2,10
1746741860.0148332,20,2,10
1746741883.4607544,20,2,10
1746741908.1511972,20,2,10
1746741931.0185015,20,2,10
1746741953.986402,20,2,10
1746741978.599335,20,2,10
1746742001.7245066,20,2,10
1746742025.2050893,20,2,10
1746742050.297306,20,2,10
1746742073.1310287,20,2,10
1746742095.8721962,20,2,10
1746742118.6786122,20,2,10
1746742141.3682733,20,2,10
1746742166.1496148,20,2,10
1746742189.972462,20,2,10
1746742213.466401,20,2,10
1746742236.892386,20,2,10
1746742260.2859995,20,2,10
1746742283.8402462,20,2,10
1746742309.2160795,20,2,10
1746742332.1912773,20,2,10
1746742355.0399356,20,2,10
1746742377.9467313,20,2,10
1746742401.8240483,20,2,10
1746742425.5171556,20,2,10
1746742448.988832,20,2,10
1746742472.8303397,20,2,10
1746742496.499452,20,2,10
1746742520.097301,20,2,10
1746742543.4643075,20,2,10
1746742566.9104638,20,2,10
1746742591.1579816,20,2,10
1746742615.4266138,20,2,10
1746742639.9849424,20,1,5
1746742659.1227934,20,1,5
1746742676.3730521,20,1,5
1746742693.7778156,20,1,5
1746742710.7828562,20,1,5
1746742729.7755227,20,1,5
1746742746.9059577,20,1,5
1746742763.9235504,20,1,5
1746742783.2453587,20,1,5
1746742800.2815883,20,1,5
1746742817.4027255,20,1,5
1746742836.6089718,20,1,5
1746742853.7470622,20,1,5
1746742871.0778089,20,1,5
1746742888.4178424,20,1,5
1746742907.3106167,20,1,5
1746742924.3872588,20,1,5
1746742941.5382729,20,1,5
1746742958.551379,20,1,5
1746742977.512157,20,1,5
1746742993.9418569,20,1,5
1746743009.9970462,20,1,5
1746743026.1406162,20,1,5
1746743044.9029405,20,1,5
1746743062.3766315,20,1,5
1746743079.8280745,20,1,5
1746743097.0348005,20,1,5
1746743114.4216158,20,1,5
1746743130.1704702,20,1,5
1746743147.3655112,20,1,5
1746743164.3022327,20,1,5
1746743183.219584,20,1,5
1746743200.0900726,20,1,5
1746743217.1589618,20,1,5
1746743235.08635,20,1,5
1746743252.3900237,20,1,5
1746743272.1122172,20,1,5
1746743289.2637832,20,1,5
1746743306.5137494,20,1,5
1746743323.6638923,20,1,5
1746743340.9658084,20,1,5
1746743358.264783,20,1,5
1746743377.5757945,20,1,5
1746743394.6763084,20,1,5
1746743411.7490304,20,1,5
1746743429.0617855,20,1,5
1746743446.4311533,20,1,5
1746743466.0572672,20,1,5
1746743483.3027546,20,1,5
1746743500.7821326,20,1,5
1746743518.188612,20,1,5
1746743536.1871529,20,1,5
1746743553.2045522,20,1,5
1746743572.6467252,20,1,5
1746743589.6495757,20,1,5
1746743606.657924,20,1,5
1746743622.75156,20,1,5
1746743639.4904778,20,1,5
1746743656.2107012,20,1,5
1746743672.8780758,20,1,5
1746743691.6244133,20,1,5
1746743707.957484,20,1,5
1746743724.7248888,20,1,5
1746743741.7239532,20,1,5
1746743758.718713,20,1,5
1746743775.7154124,20,1,5
1746743792.549899,20,1,5
1746743811.5140352,20,1,5
1746743828.0684268,20,1,5
1746743864.8814723,20,0,0
1746745547.7523723,20,0,0
1746745548.4245598,20,0,0
1746745551.3702362,20,1,5
1746745564.2032263,20,1,5
1746747010.632679,20,1,5
1746747011.4010959,20,1,5
1746747013.4653478,20,2,10
1746747015.203958,20,2,10
1746747035.7428262,20,1,5
1746747035.8500397,20,1,5
1746748820.6444008,20,1,5
1746748821.511879,20,1,5
1746748823.546308,20,2,10
1746748843.410848,20,2,10
1746750599.9413717,20,2,10
1746750600.686553,20,2,10
1746750602.6255698,20,3,15
1746750611.6156707,20,3,15
1746750632.9554653,20,2,10
1746750633.1057823,20,2,10
1746752764.0539992,20,2,10
1746752764.7957673,20,2,10
1746752766.647455,20,3,15
1746752794.0109653,20,3,15
1746754915.1253502,20,3,15
1746754915.8308232,20,3,15
1746754917.7635145,20,4,20
1746754933.8805463,20,4,20
1746754951.2348776,20,3,15
1746754972.289191,20,2,10
1746754972.4481945,20,2,10
1746757270.605763,20,2,10
1746757271.4240506,20,2,10
1746757273.4277904,20,3,15
1746757296.9400682,20,3,15
1746759405.2969015,20,3,15
1746759406.0739849,20,3,15
1746759407.9548216,20,4,20
1746759423.8766792,20,4,20
1746759460.2278392,20,3,15
1746759460.3971372,20,3,15
1746761734.9859612,20,3,15
1746761735.6992183,20,3,15
1746761737.548438,20,4,20
1746761768.9863672,20,4,20
1746763931.5620182,20,4,20
1746763932.3243544,20,4,20
1746763934.493775,20,5,25
1746763950.4188673,20,5,25
1746763983.0576928,20,4,20
1746763998.1950724,20,3,15
1746763998.3754814,20,3,15
1746766319.8489094,20,3,15
1746766320.61354,20,3,15
1746766322.885698,20,4,20
1746766338.6775174,20,4,20
1746766362.6081302,20,3,15
1746766377.4866202,20,2,10
1746766377.6573558,20,2,10
1746768784.5013623,20,2,10
1746768785.4035134,20,2,10
1746768787.509252,20,3,15
1746768803.38689,20,3,15
1746768831.7092395,20,2,10
1746768831.9696639,20,2,10
1746771041.7425792,20,2,10
1746771042.4642375,20,2,10
1746771044.5588539,20,3,15
1746771060.470492,20,3,15
1746771088.6755126,20,2,10
1746771088.9062724,20,2,10
1746772960.692657,20,2,10
1746772961.4431665,20,2,10
1746772963.490434,20,3,15
1746772987.9251907,20,3,15
1746775225.8072412,20,3,15
1746775226.555242,20,3,15
1746775228.4721205,20,4,20
1746775242.4365087,20,4,20
1746775263.3931663,20,3,15
1746775263.5755005,20,3,15
1746777556.3649075,20,3,15
1746777557.3825836,20,3,15
1746777559.5853763,20,4,20
1746777575.499369,20,4,20
1746777592.9419346,20,3,15
1746777614.1108563,20,2,10
1746777614.2716043,20,2,10
1746780448.5792348,20,2,10
1746780449.3863451,20,2,10
1746780451.6182647,20,3,15
1746780467.5320091,20,3,15
1746780497.0520627,20,2,10
1746780497.3009598,20,2,10
1746782637.0301301,20,2,10
1746782637.7476935,20,2,10
1746782639.7377799,20,3,15
1746782647.6356957,20,3,15
1746782668.540162,20,2,10
1746782668.7315066,20,2,10
1746785074.672508,20,2,10
1746785075.392928,20,2,10
1746785077.4933538,20,3,15
1746785093.36501,20,3,15
1746785122.5851111,20,2,10
1746785122.7531755,20,2,10
1746787407.8291013,20,2,10
1746787408.5448778,20,2,10
1746787410.5042245,20,3,15
1746787436.5270007,20,3,15
</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 »worker_usage.csv« as file</button>
<h1> CPU/RAM-Usage (main)</h1>
<div class='invert_in_dark_mode' id='mainWorkerCPURAM'></div><button class='copy_clipboard_button' onclick='copy_to_clipboard_from_id("pre_tab_main_worker_cpu_ram")'> Copy raw data to clipboard</button>
<button onclick='download_as_file("pre_tab_main_worker_cpu_ram", "cpu_ram_usage.csv")'> Download »cpu_ram_usage.csv« as file</button>
<pre id="pre_tab_main_worker_cpu_ram">timestamp,ram_usage_mb,cpu_usage_percent
1746192497,654.125,38.9
1746192497,654.12890625,39.7
1746192497,654.1875,39.3
1746192497,654.1875,35.2
1746192497,654.1875,46.5
1746192497,654.1875,43.9
1746192497,654.1875,47.5
1746210956,817.23046875,38.2
1746210956,817.23046875,26.7
1746210956,817.23046875,26.0
1746210956,817.23046875,28.3
1746236633,881.44140625,17.3
1746236633,881.44140625,15.1
1746236633,881.44140625,14.7
1746236633,881.44140625,13.6
1746260460,875.34375,15.6
1746260460,875.34375,15.0
1746260460,875.34375,14.7
1746260460,875.34375,14.0
1746288989,888.5078125,16.0
1746288989,888.5078125,16.9
1746288990,888.5078125,16.7
1746288990,888.5078125,15.5
1746313649,882.484375,15.4
1746313649,882.484375,15.0
1746313649,882.484375,14.6
1746313649,882.484375,17.5
1746341421,935.37109375,15.7
1746341421,935.37109375,16.2
1746341421,935.37109375,15.9
1746341421,935.37109375,18.5
1746370045,908.6015625,17.9
1746370045,908.6015625,20.1
1746370045,908.6015625,20.1
1746370045,908.6015625,23.4
1746405253,914.015625,18.7
1746405253,914.015625,16.1
1746405253,914.015625,16.2
1746405253,914.015625,18.5
1746436836,973.23828125,16.0
1746436836,973.23828125,14.1
1746436836,973.23828125,13.9
1746436836,973.23828125,14.0
1746471371,984.77734375,15.8
1746471371,984.77734375,16.3
1746471371,984.77734375,16.0
1746471371,984.77734375,15.6
1746498226,921.17578125,15.9
1746498226,921.17578125,14.8
1746498226,921.17578125,14.8
1746498226,921.17578125,13.3
1746530452,939.421875,16.2
1746530452,939.421875,14.9
1746530452,939.421875,14.9
1746530452,939.421875,15.8
1746563592,982.87109375,15.6
1746563592,982.87109375,16.7
1746563592,982.87109375,16.3
1746563592,982.87109375,16.4
1746602656,939.2734375,15.9
1746602656,939.2734375,14.7
1746602656,939.2734375,14.4
1746602656,939.2734375,15.7
1746650198,957.6953125,20.7
1746650198,957.6953125,22.2
1746650198,957.6953125,20.9
1746650198,957.6953125,17.9
1746691919,979.31640625,21.7
1746691919,979.31640625,21.0
1746691920,979.31640625,20.7
1746691920,979.31640625,18.5
1746738471,954.8203125,18.7
1746738471,954.8203125,17.3
1746738471,954.8203125,16.6
1746738471,954.8203125,16.5
1746787462,957.8125,17.9
1746787462,957.8125,16.6
1746787463,957.8125,18.1
1746787463,957.8125,18.8
</pre><button class='copy_clipboard_button' onclick='copy_to_clipboard_from_id("pre_tab_main_worker_cpu_ram")'> Copy raw data to clipboard</button>
<button onclick='download_as_file("pre_tab_main_worker_cpu_ram", "cpu_ram_usage.csv")'> Download »cpu_ram_usage.csv« as file</button>
<h1> Parallel Plot</h1>
<div class="invert_in_dark_mode" id="parallel-plot"></div>
<h1> Scatter-2D</h1>
<div class='invert_in_dark_mode' id='plotScatter2d'></div>
<h1> Scatter-3D</h1>
<div class='invert_in_dark_mode' id='plotScatter3d'></div>
<h1> Job Status Distribution</h1>
<div class="invert_in_dark_mode" id="plotJobStatusDistribution"></div>
<h1> Boxplots</h1>
<div class="invert_in_dark_mode" id="plotBoxplot"></div>
<h1> Violin</h1>
<div class="invert_in_dark_mode" id="plotViolin"></div>
<h1> Histogram</h1>
<div class="invert_in_dark_mode" id="plotHistogram"></div>
<h1> Heatmap</h1>
<div class="invert_in_dark_mode" id="plotHeatmap"></div><br>
<h1>Correlation Heatmap Explanation</h1>
<p>
This is a heatmap that visualizes the correlation between numerical columns in a dataset. The values represented in the heatmap show the strength and direction of relationships between different variables.
</p>
<h2>How It Works</h2>
<p>
The heatmap uses a matrix to represent correlations between each pair of numerical columns. The calculation behind this is based on the concept of "correlation," which measures how strongly two variables are related. A correlation can be positive, negative, or zero:
</p>
<ul>
<li><strong>Positive correlation</strong>: Both variables increase or decrease together (e.g., if the temperature rises, ice cream sales increase).</li>
<li><strong>Negative correlation</strong>: As one variable increases, the other decreases (e.g., as the price of a product rises, the demand for it decreases).</li>
<li><strong>Zero correlation</strong>: There is no relationship between the two variables (e.g., height and shoe size might show zero correlation in some contexts).</li>
</ul>
<h2>Color Scale: Yellow to Purple (Viridis)</h2>
<p>
The heatmap uses a color scale called "Viridis," which ranges from yellow to purple. Here's what the colors represent:
</p>
<ul>
<li><strong>Yellow (brightest)</strong>: A strong positive correlation (close to +1). This indicates that as one variable increases, the other increases in a very predictable manner.</li>
<li><strong>Green</strong>: A moderate positive correlation. Variables are still positively related, but the relationship is not as strong.</li>
<li><strong>Blue</strong>: A weak or near-zero correlation. There is a small or no discernible relationship between the variables.</li>
<li><strong>Purple (darkest)</strong>: A strong negative correlation (close to -1). This indicates that as one variable increases, the other decreases in a very predictable manner.</li>
</ul>
<h2>What the Heatmap Shows</h2>
<p>
In the heatmap, each cell represents the correlation between two numerical columns. The color of the cell is determined by the correlation coefficient: from yellow for strong positive correlations, through green and blue for weaker correlations, to purple for strong negative correlations.
</p>
<h1> Result-Pairs</h1>
<div class="invert_in_dark_mode" id="plotResultPairs"></div>
<h1> Evolution</h1>
<div class="invert_in_dark_mode" id="plotResultEvolution"></div>
</body>
</html>
Copy raw data to clipboard
Download »export.html« as file