diff --git a/data.js b/data.js index 3b5660b2..5aebeae6 100644 --- a/data.js +++ b/data.js @@ -1,5 +1,5 @@ window.BENCHMARK_DATA = { - "lastUpdate": 1705791994761, + "lastUpdate": 1707744635131, "repoUrl": "https://github.com/ComPWA/tensorwaves", "entries": { "TensorWaves benchmark results": [ @@ -16782,6 +16782,142 @@ window.BENCHMARK_DATA = { "extra": "mean: 665.7206838000093 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": "fdfdd34ae2c97f3ae4d36de7a020aff79282521e", + "message": "MAINT: update pip constraints and pre-commit (#517)\n\nCo-authored-by: GitHub \r\nCo-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>", + "timestamp": "2024-02-12T14:27:35+01:00", + "tree_id": "83e4d23c2c91985b8d656d5c53013a44b8d2e62e", + "url": "https://github.com/ComPWA/tensorwaves/commit/fdfdd34ae2c97f3ae4d36de7a020aff79282521e" + }, + "date": 1707744634570, + "tool": "pytest", + "benches": [ + { + "name": "benchmarks/ampform.py::TestJPsiToGammaPiPi::test_data[10000-jax]", + "value": 0.38873155661574565, + "unit": "iter/sec", + "range": "stddev: 0", + "extra": "mean: 2.5724693120000097 sec\nrounds: 1" + }, + { + "name": "benchmarks/ampform.py::TestJPsiToGammaPiPi::test_data[10000-numpy]", + "value": 0.3520150994539535, + "unit": "iter/sec", + "range": "stddev: 0", + "extra": "mean: 2.8407872319999967 sec\nrounds: 1" + }, + { + "name": "benchmarks/ampform.py::TestJPsiToGammaPiPi::test_data[10000-tf]", + "value": 0.39281253248461717, + "unit": "iter/sec", + "range": "stddev: 0", + "extra": "mean: 2.545743623999982 sec\nrounds: 1" + }, + { + "name": "benchmarks/ampform.py::TestJPsiToGammaPiPi::test_fit[10000-jax]", + "value": 0.6979271805616055, + "unit": "iter/sec", + "range": "stddev: 0", + "extra": "mean: 1.4328142359999845 sec\nrounds: 1" + }, + { + "name": "benchmarks/expression.py::test_data[3000-jax]", + "value": 21.5576924129491, + "unit": "iter/sec", + "range": "stddev: 0.0018211047752824132", + "extra": "mean: 46.387154100006 msec\nrounds: 10" + }, + { + "name": "benchmarks/expression.py::test_data[3000-numpy]", + "value": 168.80379625062437, + "unit": "iter/sec", + "range": "stddev: 0.00010514390122055017", + "extra": "mean: 5.924037386666896 msec\nrounds: 150" + }, + { + "name": "benchmarks/expression.py::test_data[3000-numba]", + "value": 4.082724493573058, + "unit": "iter/sec", + "range": "stddev: 0.12230146539156139", + "extra": "mean: 244.93447979999132 msec\nrounds: 5" + }, + { + "name": "benchmarks/expression.py::test_data[3000-tf]", + "value": 96.23106607664585, + "unit": "iter/sec", + "range": "stddev: 0.00034639035686058017", + "extra": "mean: 10.391654595237705 msec\nrounds: 84" + }, + { + "name": "benchmarks/expression.py::test_fit[1000-Minuit2-jax]", + "value": 9.334871008550726, + "unit": "iter/sec", + "range": "stddev: 0.0003484588235691534", + "extra": "mean: 107.125208166669 msec\nrounds: 6" + }, + { + "name": "benchmarks/expression.py::test_fit[1000-Minuit2-numpy]", + "value": 9.862321936455183, + "unit": "iter/sec", + "range": "stddev: 0.0006352988324789414", + "extra": "mean: 101.39600050000297 msec\nrounds: 10" + }, + { + "name": "benchmarks/expression.py::test_fit[1000-Minuit2-numba]", + "value": 9.544229730547976, + "unit": "iter/sec", + "range": "stddev: 0.00645310742217576", + "extra": "mean: 104.77534890000868 msec\nrounds: 10" + }, + { + "name": "benchmarks/expression.py::test_fit[1000-Minuit2-tf]", + "value": 1.279328997549361, + "unit": "iter/sec", + "range": "stddev: 0.0016315951098974445", + "extra": "mean: 781.6597622000018 msec\nrounds: 5" + }, + { + "name": "benchmarks/expression.py::test_fit[1000-ScipyMinimizer-jax]", + "value": 8.529135590292551, + "unit": "iter/sec", + "range": "stddev: 0.00082843837912223", + "extra": "mean: 117.24517559999299 msec\nrounds: 5" + }, + { + "name": "benchmarks/expression.py::test_fit[1000-ScipyMinimizer-numpy]", + "value": 9.308837871182591, + "unit": "iter/sec", + "range": "stddev: 0.0008612134395371305", + "extra": "mean: 107.42479499999718 msec\nrounds: 10" + }, + { + "name": "benchmarks/expression.py::test_fit[1000-ScipyMinimizer-numba]", + "value": 9.340794169377896, + "unit": "iter/sec", + "range": "stddev: 0.0011858368088797644", + "extra": "mean: 107.05727819999709 msec\nrounds: 10" + }, + { + "name": "benchmarks/expression.py::test_fit[1000-ScipyMinimizer-tf]", + "value": 1.457458970357627, + "unit": "iter/sec", + "range": "stddev: 0.003481129117014828", + "extra": "mean: 686.125661400007 msec\nrounds: 5" + } + ] } ] }