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add pytest-benchmarks:ubuntu-22.04,psql_dos benchmark result for f74adb9
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github-action-benchmark committed Nov 26, 2024
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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": 1732629443395,
"lastUpdate": 1732633290231,
"repoUrl": "https://github.com/aiidateam/aiida-core",
"xAxis": "id",
"oneChartGroups": [],
Expand Down Expand Up @@ -62224,6 +62224,189 @@ window.BENCHMARK_DATA = {
"extra": "mean: 25.134 msec\nrounds: 100"
}
]
},
{
"cpu": {
"speed": "0.00",
"cores": 4,
"physicalCores": 2,
"processors": 1
},
"extra": {
"pythonVersion": "3.10.15",
"metadata": "postgres:12.14, rabbitmq:3.8.14-management"
},
"commit": {
"id": "f74adb94cc1e8439c8076f563ec112466fdd174b",
"message": "CLI: Handle `None` process states in build_call_graph (#6590)\n\nThe process definition allows a None state but the `build_call_graph`\r\nutils function intended for creating a printable output of the call\r\ngraph does crash in this case. A None state indicates an undefined\r\nbehavior in the code, but the application should not fail because of the\r\nformatting of the output. This commit makes `build_call_graph` handle\r\n`None` states. Partial fix for #6585.",
"timestamp": "2024-11-26T15:53:38+01:00",
"url": "https://github.com/aiidateam/aiida-core/commit/f74adb94cc1e8439c8076f563ec112466fdd174b",
"distinct": true,
"tree_id": "07ba2fdbe8f1fd8fadc13711cc3429478ebf9c3c"
},
"date": 1732633285173,
"benches": [
{
"name": "tests/benchmark/test_archive.py::test_export[no-objects]",
"value": 2.2915436677022445,
"unit": "iter/sec",
"range": "stddev: 0.22173",
"group": "import-export",
"extra": "mean: 436.39 msec\nrounds: 12"
},
{
"name": "tests/benchmark/test_archive.py::test_export[with-objects]",
"value": 2.7956323894819617,
"unit": "iter/sec",
"range": "stddev: 0.064245",
"group": "import-export",
"extra": "mean: 357.70 msec\nrounds: 12"
},
{
"name": "tests/benchmark/test_archive.py::test_import[no-objects]",
"value": 4.037622357865985,
"unit": "iter/sec",
"range": "stddev: 0.0060337",
"group": "import-export",
"extra": "mean: 247.67 msec\nrounds: 12"
},
{
"name": "tests/benchmark/test_archive.py::test_import[with-objects]",
"value": 3.8940158262031566,
"unit": "iter/sec",
"range": "stddev: 0.0056483",
"group": "import-export",
"extra": "mean: 256.80 msec\nrounds: 12"
},
{
"name": "tests/benchmark/test_engine.py::test_workchain_local[basic-loop]",
"value": 3.4612078608083885,
"unit": "iter/sec",
"range": "stddev: 0.011103",
"group": "engine",
"extra": "mean: 288.92 msec\nrounds: 10"
},
{
"name": "tests/benchmark/test_engine.py::test_workchain_local[serial-wc-loop]",
"value": 0.7519501155318837,
"unit": "iter/sec",
"range": "stddev: 0.10429",
"group": "engine",
"extra": "mean: 1.3299 sec\nrounds: 10"
},
{
"name": "tests/benchmark/test_engine.py::test_workchain_local[threaded-wc-loop]",
"value": 0.8304704720602633,
"unit": "iter/sec",
"range": "stddev: 0.095354",
"group": "engine",
"extra": "mean: 1.2041 sec\nrounds: 10"
},
{
"name": "tests/benchmark/test_engine.py::test_workchain_local[serial-calcjob-loop]",
"value": 0.20616274326434966,
"unit": "iter/sec",
"range": "stddev: 0.17904",
"group": "engine",
"extra": "mean: 4.8505 sec\nrounds: 10"
},
{
"name": "tests/benchmark/test_engine.py::test_workchain_local[threaded-calcjob-loop]",
"value": 0.22760483007376806,
"unit": "iter/sec",
"range": "stddev: 0.17637",
"group": "engine",
"extra": "mean: 4.3936 sec\nrounds: 10"
},
{
"name": "tests/benchmark/test_engine.py::test_workchain_daemon[basic-loop]",
"value": 2.501804621724208,
"unit": "iter/sec",
"range": "stddev: 0.013664",
"group": "engine",
"extra": "mean: 399.71 msec\nrounds: 10"
},
{
"name": "tests/benchmark/test_engine.py::test_workchain_daemon[serial-wc-loop]",
"value": 0.5259804260427167,
"unit": "iter/sec",
"range": "stddev: 0.047674",
"group": "engine",
"extra": "mean: 1.9012 sec\nrounds: 10"
},
{
"name": "tests/benchmark/test_engine.py::test_workchain_daemon[threaded-wc-loop]",
"value": 0.5916936042561391,
"unit": "iter/sec",
"range": "stddev: 0.034225",
"group": "engine",
"extra": "mean: 1.6901 sec\nrounds: 10"
},
{
"name": "tests/benchmark/test_engine.py::test_workchain_daemon[serial-calcjob-loop]",
"value": 0.16233421254853983,
"unit": "iter/sec",
"range": "stddev: 0.15453",
"group": "engine",
"extra": "mean: 6.1601 sec\nrounds: 10"
},
{
"name": "tests/benchmark/test_engine.py::test_workchain_daemon[threaded-calcjob-loop]",
"value": 0.18060031975030166,
"unit": "iter/sec",
"range": "stddev: 0.078541",
"group": "engine",
"extra": "mean: 5.5371 sec\nrounds: 10"
},
{
"name": "tests/benchmark/test_nodes.py::test_store_backend",
"value": 465.3535900177004,
"unit": "iter/sec",
"range": "stddev: 0.00012950",
"group": "node",
"extra": "mean: 2.1489 msec\nrounds: 268"
},
{
"name": "tests/benchmark/test_nodes.py::test_store",
"value": 76.74641941730158,
"unit": "iter/sec",
"range": "stddev: 0.00054404",
"group": "node",
"extra": "mean: 13.030 msec\nrounds: 100"
},
{
"name": "tests/benchmark/test_nodes.py::test_store_with_object",
"value": 52.08343674066675,
"unit": "iter/sec",
"range": "stddev: 0.0013307",
"group": "node",
"extra": "mean: 19.200 msec\nrounds: 100"
},
{
"name": "tests/benchmark/test_nodes.py::test_delete_backend",
"value": 278.70671034021683,
"unit": "iter/sec",
"range": "stddev: 0.00027661",
"group": "node",
"extra": "mean: 3.5880 msec\nrounds: 100"
},
{
"name": "tests/benchmark/test_nodes.py::test_delete",
"value": 43.204814349786375,
"unit": "iter/sec",
"range": "stddev: 0.00080257",
"group": "node",
"extra": "mean: 23.146 msec\nrounds: 100"
},
{
"name": "tests/benchmark/test_nodes.py::test_delete_with_object",
"value": 37.70440755034408,
"unit": "iter/sec",
"range": "stddev: 0.031901",
"group": "node",
"extra": "mean: 26.522 msec\nrounds: 100"
}
]
}
]
}
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