diff --git a/data.js b/data.js index a1855260..3b5660b2 100644 --- a/data.js +++ b/data.js @@ -1,5 +1,5 @@ window.BENCHMARK_DATA = { - "lastUpdate": 1705789914253, + "lastUpdate": 1705791994761, "repoUrl": "https://github.com/ComPWA/tensorwaves", "entries": { "TensorWaves benchmark results": [ @@ -16646,6 +16646,142 @@ window.BENCHMARK_DATA = { "extra": "mean: 682.6876072000061 msec\nrounds: 5" } ] + }, + { + "commit": { + "author": { + "email": "29308176+redeboer@users.noreply.github.com", + "name": "Remco de Boer", + "username": "redeboer" + }, + "committer": { + "email": "noreply@github.com", + "name": "GitHub", + "username": "web-flow" + }, + "distinct": true, + "id": "eec7322ea9ccc462cc5075eb49dd936c518705d5", + "message": "DOC: switch to source code link button (#516)\n\n* MAINT: remove docstring from `conf.py`\r\n* MAINT: remove redundant `master_doc` and `source_suffix`\r\n* MAINT: sort `html_theme_options`", + "timestamp": "2024-01-21T00:03:45+01:00", + "tree_id": "201b6dcb50fa1110127ae643fce9d4d2a52c4bbb", + "url": "https://github.com/ComPWA/tensorwaves/commit/eec7322ea9ccc462cc5075eb49dd936c518705d5" + }, + "date": 1705791994023, + "tool": "pytest", + "benches": [ + { + "name": "benchmarks/ampform.py::TestJPsiToGammaPiPi::test_data[10000-jax]", + "value": 0.3997467447671183, + "unit": "iter/sec", + "range": "stddev: 0", + "extra": "mean: 2.5015838479999957 sec\nrounds: 1" + }, + { + "name": "benchmarks/ampform.py::TestJPsiToGammaPiPi::test_data[10000-numpy]", + "value": 0.36190453842698816, + "unit": "iter/sec", + "range": "stddev: 0", + "extra": "mean: 2.763159600999984 sec\nrounds: 1" + }, + { + "name": "benchmarks/ampform.py::TestJPsiToGammaPiPi::test_data[10000-tf]", + "value": 0.4037170889632259, + "unit": "iter/sec", + "range": "stddev: 0", + "extra": "mean: 2.4769820930000037 sec\nrounds: 1" + }, + { + "name": "benchmarks/ampform.py::TestJPsiToGammaPiPi::test_fit[10000-jax]", + "value": 0.7180289247253684, + "unit": "iter/sec", + "range": "stddev: 0", + "extra": "mean: 1.3927015550000021 sec\nrounds: 1" + }, + { + "name": "benchmarks/expression.py::test_data[3000-jax]", + "value": 22.892268039701015, + "unit": "iter/sec", + "range": "stddev: 0.0019501793597022303", + "extra": "mean: 43.6828713636301 msec\nrounds: 11" + }, + { + "name": "benchmarks/expression.py::test_data[3000-numpy]", + "value": 168.8743846990405, + "unit": "iter/sec", + "range": "stddev: 0.0003126815269409287", + "extra": "mean: 5.921561175675934 msec\nrounds: 148" + }, + { + "name": "benchmarks/expression.py::test_data[3000-numba]", + "value": 4.197531239798743, + "unit": "iter/sec", + "range": "stddev: 0.12405933014341873", + "extra": "mean: 238.23527280000576 msec\nrounds: 5" + }, + { + "name": "benchmarks/expression.py::test_data[3000-tf]", + "value": 98.48648859590433, + "unit": "iter/sec", + "range": "stddev: 0.00041766123749008185", + "extra": "mean: 10.153677060241806 msec\nrounds: 83" + }, + { + "name": "benchmarks/expression.py::test_fit[1000-Minuit2-jax]", + "value": 9.480697616465362, + "unit": "iter/sec", + "range": "stddev: 0.0021388495540292955", + "extra": "mean: 105.47747016667586 msec\nrounds: 6" + }, + { + "name": "benchmarks/expression.py::test_fit[1000-Minuit2-numpy]", + "value": 9.951230115838687, + "unit": "iter/sec", + "range": "stddev: 0.0006345660793283559", + "extra": "mean: 100.49008899998894 msec\nrounds: 11" + }, + { + "name": "benchmarks/expression.py::test_fit[1000-Minuit2-numba]", + "value": 9.978326675328175, + "unit": "iter/sec", + "range": "stddev: 0.0009385203329751063", + "extra": "mean: 100.21720399999947 msec\nrounds: 11" + }, + { + "name": "benchmarks/expression.py::test_fit[1000-Minuit2-tf]", + "value": 1.3117564267702508, + "unit": "iter/sec", + "range": "stddev: 0.003005848256096006", + "extra": "mean: 762.3366499999975 msec\nrounds: 5" + }, + { + "name": "benchmarks/expression.py::test_fit[1000-ScipyMinimizer-jax]", + "value": 8.965286389582252, + "unit": "iter/sec", + "range": "stddev: 0.0013584232563315455", + "extra": "mean: 111.54133360000742 msec\nrounds: 5" + }, + { + "name": "benchmarks/expression.py::test_fit[1000-ScipyMinimizer-numpy]", + "value": 9.65898456586559, + "unit": "iter/sec", + "range": "stddev: 0.0002979224467294284", + "extra": "mean: 103.53055160000508 msec\nrounds: 10" + }, + { + "name": "benchmarks/expression.py::test_fit[1000-ScipyMinimizer-numba]", + "value": 9.555970944905628, + "unit": "iter/sec", + "range": "stddev: 0.0018904020580163918", + "extra": "mean: 104.64661370000385 msec\nrounds: 10" + }, + { + "name": "benchmarks/expression.py::test_fit[1000-ScipyMinimizer-tf]", + "value": 1.5021314859737966, + "unit": "iter/sec", + "range": "stddev: 0.0015392594128644582", + "extra": "mean: 665.7206838000093 msec\nrounds: 5" + } + ] } ] }