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add pytest-benchmarks:ubuntu-22.04,psql_dos benchmark result for f11598d
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github-action-benchmark committed Sep 5, 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": 1693927833550,
"lastUpdate": 1693929222574,
"repoUrl": "https://github.com/aiidateam/aiida-core",
"xAxis": "id",
"oneChartGroups": [],
Expand Down Expand Up @@ -12448,6 +12448,189 @@ window.BENCHMARK_DATA = {
"extra": "mean: 28.548 msec\nrounds: 100"
}
]
},
{
"cpu": {
"speed": "2.60",
"cores": 2,
"physicalCores": 2,
"processors": 1
},
"extra": {
"pythonVersion": "3.10.12",
"metadata": "postgres:12.14, rabbitmq:3.8.14-management"
},
"commit": {
"id": "f11598dc68a80bbfa026db064158aae64ac0e802",
"message": "`XyData`: Allow defining array(s) on construction\n\nCurrently, the constructor does not allow to define any arrays to set\nwhen constructing a new node, so one is forced to multi line code:\n\n node = XyData()\n node.set_x(np.array([1, 2]), 'name', unit')\n node.set_y(np.array([3, 4]), 'name', unit')\n\nThis commit allows initialization upon construction simplifying the code\nabove to:\n\n node = XyData(\n np.array([1, 2]),\n np.array([3, 4]),\n x_name='name',\n x_unit='unit',\n y_names='name',\n y_units='unit'\n )\n\nThe units and names are intentionally made into keyword argument only\nin order to prevent accidental swapping of values.\n\nFor backwards compatibility, it remains possible to construct an\n`XyData` without any arrays.",
"timestamp": "2023-09-05T17:43:14+02:00",
"url": "https://github.com/aiidateam/aiida-core/commit/f11598dc68a80bbfa026db064158aae64ac0e802",
"distinct": true,
"tree_id": "dcd077d68ffda699f6739aca9df671061139f987"
},
"date": 1693929215227,
"benches": [
{
"name": "tests/benchmark/test_archive.py::test_export[no-objects]",
"value": 2.767295565170126,
"unit": "iter/sec",
"range": "stddev: 0.068408",
"group": "import-export",
"extra": "mean: 361.36 msec\nrounds: 12"
},
{
"name": "tests/benchmark/test_archive.py::test_export[with-objects]",
"value": 2.7637196195676657,
"unit": "iter/sec",
"range": "stddev: 0.019489",
"group": "import-export",
"extra": "mean: 361.83 msec\nrounds: 12"
},
{
"name": "tests/benchmark/test_archive.py::test_import[no-objects]",
"value": 3.4924650203973586,
"unit": "iter/sec",
"range": "stddev: 0.078454",
"group": "import-export",
"extra": "mean: 286.33 msec\nrounds: 12"
},
{
"name": "tests/benchmark/test_archive.py::test_import[with-objects]",
"value": 3.5201532006343452,
"unit": "iter/sec",
"range": "stddev: 0.078199",
"group": "import-export",
"extra": "mean: 284.08 msec\nrounds: 12"
},
{
"name": "tests/benchmark/test_engine.py::test_workchain_local[basic-loop]",
"value": 2.7306447759308012,
"unit": "iter/sec",
"range": "stddev: 0.074447",
"group": "engine",
"extra": "mean: 366.21 msec\nrounds: 10"
},
{
"name": "tests/benchmark/test_engine.py::test_workchain_local[serial-wc-loop]",
"value": 0.6194027965538411,
"unit": "iter/sec",
"range": "stddev: 0.038434",
"group": "engine",
"extra": "mean: 1.6145 sec\nrounds: 10"
},
{
"name": "tests/benchmark/test_engine.py::test_workchain_local[threaded-wc-loop]",
"value": 0.725412233816714,
"unit": "iter/sec",
"range": "stddev: 0.070397",
"group": "engine",
"extra": "mean: 1.3785 sec\nrounds: 10"
},
{
"name": "tests/benchmark/test_engine.py::test_workchain_local[serial-calcjob-loop]",
"value": 0.16405857639533783,
"unit": "iter/sec",
"range": "stddev: 0.13899",
"group": "engine",
"extra": "mean: 6.0954 sec\nrounds: 10"
},
{
"name": "tests/benchmark/test_engine.py::test_workchain_local[threaded-calcjob-loop]",
"value": 0.18163560323884717,
"unit": "iter/sec",
"range": "stddev: 0.11633",
"group": "engine",
"extra": "mean: 5.5055 sec\nrounds: 10"
},
{
"name": "tests/benchmark/test_engine.py::test_workchain_daemon[basic-loop]",
"value": 2.1665696933543193,
"unit": "iter/sec",
"range": "stddev: 0.093537",
"group": "engine",
"extra": "mean: 461.56 msec\nrounds: 10"
},
{
"name": "tests/benchmark/test_engine.py::test_workchain_daemon[serial-wc-loop]",
"value": 0.5153307380264882,
"unit": "iter/sec",
"range": "stddev: 0.077701",
"group": "engine",
"extra": "mean: 1.9405 sec\nrounds: 10"
},
{
"name": "tests/benchmark/test_engine.py::test_workchain_daemon[threaded-wc-loop]",
"value": 0.590294292555984,
"unit": "iter/sec",
"range": "stddev: 0.027409",
"group": "engine",
"extra": "mean: 1.6941 sec\nrounds: 10"
},
{
"name": "tests/benchmark/test_engine.py::test_workchain_daemon[serial-calcjob-loop]",
"value": 0.1427875756956752,
"unit": "iter/sec",
"range": "stddev: 0.13890",
"group": "engine",
"extra": "mean: 7.0034 sec\nrounds: 10"
},
{
"name": "tests/benchmark/test_engine.py::test_workchain_daemon[threaded-calcjob-loop]",
"value": 0.16212419443202525,
"unit": "iter/sec",
"range": "stddev: 0.15677",
"group": "engine",
"extra": "mean: 6.1681 sec\nrounds: 10"
},
{
"name": "tests/benchmark/test_nodes.py::test_store_backend",
"value": 282.3436654227716,
"unit": "iter/sec",
"range": "stddev: 0.00072187",
"group": "node",
"extra": "mean: 3.5418 msec\nrounds: 100"
},
{
"name": "tests/benchmark/test_nodes.py::test_store",
"value": 111.48144166783887,
"unit": "iter/sec",
"range": "stddev: 0.00062193",
"group": "node",
"extra": "mean: 8.9701 msec\nrounds: 101"
},
{
"name": "tests/benchmark/test_nodes.py::test_store_with_object",
"value": 65.23894476253899,
"unit": "iter/sec",
"range": "stddev: 0.0019672",
"group": "node",
"extra": "mean: 15.328 msec\nrounds: 100"
},
{
"name": "tests/benchmark/test_nodes.py::test_delete_backend",
"value": 181.90051991528904,
"unit": "iter/sec",
"range": "stddev: 0.0010457",
"group": "node",
"extra": "mean: 5.4975 msec\nrounds: 100"
},
{
"name": "tests/benchmark/test_nodes.py::test_delete",
"value": 46.827981742991305,
"unit": "iter/sec",
"range": "stddev: 0.0020599",
"group": "node",
"extra": "mean: 21.355 msec\nrounds: 100"
},
{
"name": "tests/benchmark/test_nodes.py::test_delete_with_object",
"value": 42.800444796082985,
"unit": "iter/sec",
"range": "stddev: 0.024448",
"group": "node",
"extra": "mean: 23.364 msec\nrounds: 100"
}
]
}
]
}
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