diff --git a/performance/data.js b/performance/data.js index c909c4e..700a483 100644 --- a/performance/data.js +++ b/performance/data.js @@ -1,5 +1,5 @@ window.BENCHMARK_DATA = { - "lastUpdate": 1708943995661, + "lastUpdate": 1709001084658, "repoUrl": "https://github.com/caiyunapp/cyeva", "entries": { "cyeva Benchmark": [ @@ -2243,6 +2243,135 @@ window.BENCHMARK_DATA = { "extra": "mean: 1.7753678484000033 sec\nrounds: 5" } ] + }, + { + "commit": { + "author": { + "email": "clarmylee92510@gmail.com", + "name": "Clarmy Lee", + "username": "Clarmy" + }, + "committer": { + "email": "clarmylee92510@gmail.com", + "name": "Clarmy Lee", + "username": "Clarmy" + }, + "distinct": true, + "id": "5b416b2ee5444ccfa168ad11c2af6dfb67ec61d3", + "message": "docs: change license", + "timestamp": "2024-02-27T10:29:38+08:00", + "tree_id": "edb85da1803374593b8c0f801c67248f00814842", + "url": "https://github.com/caiyunapp/cyeva/commit/5b416b2ee5444ccfa168ad11c2af6dfb67ec61d3" + }, + "date": 1709001084395, + "tool": "pytest", + "benches": [ + { + "name": "tests/test_perf.py::test_calc_mae_1e3", + "value": 57587.9976199951, + "unit": "iter/sec", + "range": "stddev: 0.0000040759270960470995", + "extra": "mean: 17.364729480588686 usec\nrounds: 5312" + }, + { + "name": "tests/test_perf.py::test_calc_mae_1e6", + "value": 89.74855534996688, + "unit": "iter/sec", + "range": "stddev: 0.00020540609969950542", + "extra": "mean: 11.142240631067372 msec\nrounds: 103" + }, + { + "name": "tests/test_perf.py::test_calc_mae_1e7", + "value": 14.560373898753435, + "unit": "iter/sec", + "range": "stddev: 0.0006041846515697052", + "extra": "mean: 68.67955499999994 msec\nrounds: 15" + }, + { + "name": "tests/test_perf.py::test_calc_mbe_1e3", + "value": 62716.669143654995, + "unit": "iter/sec", + "range": "stddev: 0.000003707748126223298", + "extra": "mean: 15.944724323759297 usec\nrounds: 12794" + }, + { + "name": "tests/test_perf.py::test_calc_mbe_1e6", + "value": 105.64216667172296, + "unit": "iter/sec", + "range": "stddev: 0.0001769033370828507", + "extra": "mean: 9.46591717592695 msec\nrounds: 108" + }, + { + "name": "tests/test_perf.py::test_calc_mbe_1e7", + "value": 17.040438524551504, + "unit": "iter/sec", + "range": "stddev: 0.00036050248458736764", + "extra": "mean: 58.68393577778067 msec\nrounds: 18" + }, + { + "name": "tests/test_perf.py::test_calc_threshold_hit_ratio_1e3", + "value": 3401.1542001077755, + "unit": "iter/sec", + "range": "stddev: 0.00001712205480679414", + "extra": "mean: 294.01783664154715 usec\nrounds: 1965" + }, + { + "name": "tests/test_perf.py::test_calc_threshold_hit_ratio_1e6", + "value": 5.451776913368559, + "unit": "iter/sec", + "range": "stddev: 0.0005363205102487041", + "extra": "mean: 183.42643433333686 msec\nrounds: 6" + }, + { + "name": "tests/test_perf.py::test_calc_threshold_hit_ratio_1e7", + "value": 0.5655689579783852, + "unit": "iter/sec", + "range": "stddev: 0.003019846404275562", + "extra": "mean: 1.7681309872000042 sec\nrounds: 5" + }, + { + "name": "tests/test_perf.py::test_calc_threshold_false_alarm_ratio_1e3", + "value": 3381.3334779690094, + "unit": "iter/sec", + "range": "stddev: 0.000023425387006312824", + "extra": "mean: 295.74131227087594 usec\nrounds: 1361" + }, + { + "name": "tests/test_perf.py::test_calc_threshold_false_alarm_ratio_1e6", + "value": 5.454211998898901, + "unit": "iter/sec", + "range": "stddev: 0.0009567208621416415", + "extra": "mean: 183.34454183333548 msec\nrounds: 6" + }, + { + "name": "tests/test_perf.py::test_calc_threshold_false_alarm_ratio_1e7", + "value": 0.5636625585009827, + "unit": "iter/sec", + "range": "stddev: 0.014010943632401553", + "extra": "mean: 1.774111096999991 sec\nrounds: 5" + }, + { + "name": "tests/test_perf.py::test_calc_threshold_ts_1e3", + "value": 3417.5870062350264, + "unit": "iter/sec", + "range": "stddev: 0.00001553206088942182", + "extra": "mean: 292.60410873976457 usec\nrounds: 1968" + }, + { + "name": "tests/test_perf.py::test_calc_threshold_ts_1e6", + "value": 5.456135288046324, + "unit": "iter/sec", + "range": "stddev: 0.000996806712324246", + "extra": "mean: 183.27991283333253 msec\nrounds: 6" + }, + { + "name": "tests/test_perf.py::test_calc_threshold_ts_1e7", + "value": 0.5672067005928937, + "unit": "iter/sec", + "range": "stddev: 0.004519495365987989", + "extra": "mean: 1.7630257170000163 sec\nrounds: 5" + } + ] } ] }