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add pytest-benchmarks:ubuntu-22.04,psql_dos benchmark result for 0620588
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github-action-benchmark committed Oct 15, 2023
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185 changes: 184 additions & 1 deletion dev/bench/ubuntu-22.04/psql_dos/data.js
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window.BENCHMARK_DATA = {
"lastUpdate": 1697264559165,
"lastUpdate": 1697369927011,
"repoUrl": "https://github.com/aiidateam/aiida-core",
"xAxis": "id",
"oneChartGroups": [],
Expand Down Expand Up @@ -17755,6 +17755,189 @@ window.BENCHMARK_DATA = {
"extra": "mean: 21.922 msec\nrounds: 100"
}
]
},
{
"cpu": {
"speed": "2.60",
"cores": 2,
"physicalCores": 2,
"processors": 1
},
"extra": {
"pythonVersion": "3.10.13",
"metadata": "postgres:12.14, rabbitmq:3.8.14-management"
},
"commit": {
"id": "06205886204c142f771dab37f1a78f3bf0ba7251",
"message": "CLI: Do not load config in defaults and callbacks during tab-completion (#6144)\n\nThe `get_default_profile` default of the `PROFILE` option and the\r\n`set_log_level` callback of the `VERBOSITY` option both load the config.\r\nSince defaults and callbacks are also evaluated during tab-completion\r\nthis was slowing down tab-completion significantly since loading the\r\nconfig has a non-negligible cost.\r\n\r\nThe `set_log_level` callback is modified to explicitly check whether\r\nwe are are tab-completing, in which case `ctx.resilient_parsing` is set\r\nto `True`. In this case, the functions now returns `None` and no longer\r\nloads the config.\r\n\r\nFor `get_default_profile`, the `CallableDefaultOption` class is added\r\nwhich allows the default to be made a callable, which will return `None`\r\nif `ctx.resilient_parsing` is set to `True`.",
"timestamp": "2023-10-15T13:29:43+02:00",
"url": "https://github.com/aiidateam/aiida-core/commit/06205886204c142f771dab37f1a78f3bf0ba7251",
"distinct": true,
"tree_id": "d38c9c9d3fe30e2c6a8630ae9068c33712b2fe7d"
},
"date": 1697369920944,
"benches": [
{
"name": "tests/benchmark/test_archive.py::test_export[no-objects]",
"value": 2.7017838387978483,
"unit": "iter/sec",
"range": "stddev: 0.12667",
"group": "import-export",
"extra": "mean: 370.13 msec\nrounds: 12"
},
{
"name": "tests/benchmark/test_archive.py::test_export[with-objects]",
"value": 2.8557492515081533,
"unit": "iter/sec",
"range": "stddev: 0.074430",
"group": "import-export",
"extra": "mean: 350.17 msec\nrounds: 12"
},
{
"name": "tests/benchmark/test_archive.py::test_import[no-objects]",
"value": 3.921410524123976,
"unit": "iter/sec",
"range": "stddev: 0.077440",
"group": "import-export",
"extra": "mean: 255.01 msec\nrounds: 12"
},
{
"name": "tests/benchmark/test_archive.py::test_import[with-objects]",
"value": 3.858597536286958,
"unit": "iter/sec",
"range": "stddev: 0.077732",
"group": "import-export",
"extra": "mean: 259.16 msec\nrounds: 12"
},
{
"name": "tests/benchmark/test_engine.py::test_workchain_local[basic-loop]",
"value": 3.063821270280221,
"unit": "iter/sec",
"range": "stddev: 0.088905",
"group": "engine",
"extra": "mean: 326.39 msec\nrounds: 10"
},
{
"name": "tests/benchmark/test_engine.py::test_workchain_local[serial-wc-loop]",
"value": 0.7127290113392403,
"unit": "iter/sec",
"range": "stddev: 0.041196",
"group": "engine",
"extra": "mean: 1.4031 sec\nrounds: 10"
},
{
"name": "tests/benchmark/test_engine.py::test_workchain_local[threaded-wc-loop]",
"value": 0.8281233327845856,
"unit": "iter/sec",
"range": "stddev: 0.093389",
"group": "engine",
"extra": "mean: 1.2075 sec\nrounds: 10"
},
{
"name": "tests/benchmark/test_engine.py::test_workchain_local[serial-calcjob-loop]",
"value": 0.18403175151794227,
"unit": "iter/sec",
"range": "stddev: 0.14885",
"group": "engine",
"extra": "mean: 5.4338 sec\nrounds: 10"
},
{
"name": "tests/benchmark/test_engine.py::test_workchain_local[threaded-calcjob-loop]",
"value": 0.2080671402230432,
"unit": "iter/sec",
"range": "stddev: 0.15890",
"group": "engine",
"extra": "mean: 4.8061 sec\nrounds: 10"
},
{
"name": "tests/benchmark/test_engine.py::test_workchain_daemon[basic-loop]",
"value": 2.632617458146502,
"unit": "iter/sec",
"range": "stddev: 0.025573",
"group": "engine",
"extra": "mean: 379.85 msec\nrounds: 10"
},
{
"name": "tests/benchmark/test_engine.py::test_workchain_daemon[serial-wc-loop]",
"value": 0.5755241611908847,
"unit": "iter/sec",
"range": "stddev: 0.085037",
"group": "engine",
"extra": "mean: 1.7375 sec\nrounds: 10"
},
{
"name": "tests/benchmark/test_engine.py::test_workchain_daemon[threaded-wc-loop]",
"value": 0.6500511042778501,
"unit": "iter/sec",
"range": "stddev: 0.12520",
"group": "engine",
"extra": "mean: 1.5383 sec\nrounds: 10"
},
{
"name": "tests/benchmark/test_engine.py::test_workchain_daemon[serial-calcjob-loop]",
"value": 0.16330186076273945,
"unit": "iter/sec",
"range": "stddev: 0.060077",
"group": "engine",
"extra": "mean: 6.1236 sec\nrounds: 10"
},
{
"name": "tests/benchmark/test_engine.py::test_workchain_daemon[threaded-calcjob-loop]",
"value": 0.18403056960765504,
"unit": "iter/sec",
"range": "stddev: 0.10544",
"group": "engine",
"extra": "mean: 5.4339 sec\nrounds: 10"
},
{
"name": "tests/benchmark/test_nodes.py::test_store_backend",
"value": 349.06489653847325,
"unit": "iter/sec",
"range": "stddev: 0.00040532",
"group": "node",
"extra": "mean: 2.8648 msec\nrounds: 199"
},
{
"name": "tests/benchmark/test_nodes.py::test_store",
"value": 138.22253039527646,
"unit": "iter/sec",
"range": "stddev: 0.0014510",
"group": "node",
"extra": "mean: 7.2347 msec\nrounds: 138"
},
{
"name": "tests/benchmark/test_nodes.py::test_store_with_object",
"value": 82.86941906895392,
"unit": "iter/sec",
"range": "stddev: 0.00070760",
"group": "node",
"extra": "mean: 12.067 msec\nrounds: 100"
},
{
"name": "tests/benchmark/test_nodes.py::test_delete_backend",
"value": 234.94210030484277,
"unit": "iter/sec",
"range": "stddev: 0.00013064",
"group": "node",
"extra": "mean: 4.2564 msec\nrounds: 100"
},
{
"name": "tests/benchmark/test_nodes.py::test_delete",
"value": 46.89613721014912,
"unit": "iter/sec",
"range": "stddev: 0.0014124",
"group": "node",
"extra": "mean: 21.324 msec\nrounds: 100"
},
{
"name": "tests/benchmark/test_nodes.py::test_delete_with_object",
"value": 41.00262197703592,
"unit": "iter/sec",
"range": "stddev: 0.027533",
"group": "node",
"extra": "mean: 24.389 msec\nrounds: 100"
}
]
}
]
}
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