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add PyACP benchmarks (pytest) benchmark result for 5a38a4d
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Jan 9, 2025
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Original file line number | Diff line number | Diff line change |
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@@ -1,5 +1,5 @@ | ||
window.BENCHMARK_DATA = { | ||
"lastUpdate": 1736255715924, | ||
"lastUpdate": 1736437756347, | ||
"repoUrl": "https://github.com/ansys/pyacp", | ||
"entries": { | ||
"PyACP benchmarks": [ | ||
|
@@ -24570,6 +24570,128 @@ window.BENCHMARK_DATA = { | |
"extra": "mean: 38.51690333333914 msec\nrounds: 27" | ||
} | ||
] | ||
}, | ||
{ | ||
"commit": { | ||
"author": { | ||
"email": "[email protected]", | ||
"name": "Dominik Gresch", | ||
"username": "greschd" | ||
}, | ||
"committer": { | ||
"email": "[email protected]", | ||
"name": "GitHub", | ||
"username": "web-flow" | ||
}, | ||
"distinct": true, | ||
"id": "5a38a4dfd58f7a8cab4b7a0f33482c3df8a93df9", | ||
"message": "Improve error message on inexistent files with local server (#754)\n\nAdd a check that the file exists when calling the (no-op)\n`upload_file` method on the local file transfer strategy.\n\nThis ensures a nice error is produced when trying to import an\ninexistent ACPH5 file, instead of failing on H5Open.\n\nResolves #748.", | ||
"timestamp": "2025-01-09T15:42:15Z", | ||
"tree_id": "94e3fd060e0b80c6b45023afb19993950a45a07b", | ||
"url": "https://github.com/ansys/pyacp/commit/5a38a4dfd58f7a8cab4b7a0f33482c3df8a93df9" | ||
}, | ||
"date": 1736437724109, | ||
"tool": "pytest", | ||
"benches": [ | ||
{ | ||
"name": "tests/benchmarks/test_class40.py::test_class40[delay=0ms, rate=1000000.0kbit]", | ||
"value": 7.720330047020994, | ||
"unit": "iter/sec", | ||
"range": "stddev: 0.012308216359019991", | ||
"extra": "mean: 129.52814114286022 msec\nrounds: 7" | ||
}, | ||
{ | ||
"name": "tests/benchmarks/test_class40.py::test_class40[delay=1ms, rate=1000000.0kbit]", | ||
"value": 2.7021338183315926, | ||
"unit": "iter/sec", | ||
"range": "stddev: 0.00358935009136757", | ||
"extra": "mean: 370.0778966666576 msec\nrounds: 3" | ||
}, | ||
{ | ||
"name": "tests/benchmarks/test_class40.py::test_class40[delay=10ms, rate=1000000.0kbit]", | ||
"value": 0.38761768710127176, | ||
"unit": "iter/sec", | ||
"range": "stddev: 0", | ||
"extra": "mean: 2.579861634999986 sec\nrounds: 1" | ||
}, | ||
{ | ||
"name": "tests/benchmarks/test_class40.py::test_class40[delay=100ms, rate=1000000.0kbit]", | ||
"value": 0.041017295090629485, | ||
"unit": "iter/sec", | ||
"range": "stddev: 0", | ||
"extra": "mean: 24.37995966799997 sec\nrounds: 1" | ||
}, | ||
{ | ||
"name": "tests/benchmarks/test_class40.py::test_class40[delay=0ms, rate=10000.0kbit]", | ||
"value": 2.178059622339079, | ||
"unit": "iter/sec", | ||
"range": "stddev: 0.003878470745573297", | ||
"extra": "mean: 459.12425433334647 msec\nrounds: 3" | ||
}, | ||
{ | ||
"name": "tests/benchmarks/test_class40.py::test_class40[delay=0ms, rate=1000.0kbit]", | ||
"value": 0.28666301333766947, | ||
"unit": "iter/sec", | ||
"range": "stddev: 0", | ||
"extra": "mean: 3.488416550000011 sec\nrounds: 1" | ||
}, | ||
{ | ||
"name": "tests/benchmarks/test_class40.py::test_class40[delay=0ms, rate=100.0kbit]", | ||
"value": 0.02965537149729654, | ||
"unit": "iter/sec", | ||
"range": "stddev: 0", | ||
"extra": "mean: 33.720703856 sec\nrounds: 1" | ||
}, | ||
{ | ||
"name": "tests/benchmarks/test_create.py::test_create_modeling_group[delay=0ms, rate=1000000.0kbit]", | ||
"value": 1260.020994447222, | ||
"unit": "iter/sec", | ||
"range": "stddev: 0.00023157829207386707", | ||
"extra": "mean: 793.6375698554971 usec\nrounds: 1997" | ||
}, | ||
{ | ||
"name": "tests/benchmarks/test_create.py::test_create_modeling_group[delay=1ms, rate=1000000.0kbit]", | ||
"value": 402.9670703366067, | ||
"unit": "iter/sec", | ||
"range": "stddev: 0.00005743873987340215", | ||
"extra": "mean: 2.4815923523594106 msec\nrounds: 403" | ||
}, | ||
{ | ||
"name": "tests/benchmarks/test_create.py::test_create_modeling_group[delay=10ms, rate=1000000.0kbit]", | ||
"value": 48.64546368820511, | ||
"unit": "iter/sec", | ||
"range": "stddev: 0.0000766337325565421", | ||
"extra": "mean: 20.55690138775399 msec\nrounds: 49" | ||
}, | ||
{ | ||
"name": "tests/benchmarks/test_create.py::test_create_modeling_group[delay=100ms, rate=1000000.0kbit]", | ||
"value": 4.985049293797382, | ||
"unit": "iter/sec", | ||
"range": "stddev: 0.000050775881234528784", | ||
"extra": "mean: 200.59982180000588 msec\nrounds: 5" | ||
}, | ||
{ | ||
"name": "tests/benchmarks/test_create.py::test_create_modeling_group[delay=0ms, rate=10000.0kbit]", | ||
"value": 984.8029151707124, | ||
"unit": "iter/sec", | ||
"range": "stddev: 0.00017220259600123165", | ||
"extra": "mean: 1.0154316001660628 msec\nrounds: 1193" | ||
}, | ||
{ | ||
"name": "tests/benchmarks/test_create.py::test_create_modeling_group[delay=0ms, rate=1000.0kbit]", | ||
"value": 232.8680382005312, | ||
"unit": "iter/sec", | ||
"range": "stddev: 0.00005967288419011593", | ||
"extra": "mean: 4.294277599139059 msec\nrounds: 232" | ||
}, | ||
{ | ||
"name": "tests/benchmarks/test_create.py::test_create_modeling_group[delay=0ms, rate=100.0kbit]", | ||
"value": 26.106765099135664, | ||
"unit": "iter/sec", | ||
"range": "stddev: 0.00010683802955508059", | ||
"extra": "mean: 38.30424781479754 msec\nrounds: 27" | ||
} | ||
] | ||
} | ||
] | ||
} | ||
|