diff --git a/dev/bench/ubuntu-22.04/psql_dos/data.js b/dev/bench/ubuntu-22.04/psql_dos/data.js index 969480650..d9d2e8ecd 100644 --- a/dev/bench/ubuntu-22.04/psql_dos/data.js +++ b/dev/bench/ubuntu-22.04/psql_dos/data.js @@ -1,5 +1,5 @@ window.BENCHMARK_DATA = { - "lastUpdate": 1737032630258, + "lastUpdate": 1737040793181, "repoUrl": "https://github.com/aiidateam/aiida-core", "xAxis": "id", "oneChartGroups": [], @@ -67529,6 +67529,189 @@ window.BENCHMARK_DATA = { "extra": "mean: 34.005 msec\nrounds: 100" } ] + }, + { + "cpu": { + "speed": "0.00", + "cores": 4, + "physicalCores": 2, + "processors": 1 + }, + "extra": { + "pythonVersion": "3.10.16", + "metadata": "postgres:12.14, rabbitmq:3.8.14-management" + }, + "commit": { + "id": "c88fc05ba111f82e089553e5413b2c7c4d482f6f", + "message": "Set minimum uv version in pyproject.toml (#6714)\n\nCloses #6712 \r\n\r\nThis sets the minimum uv version pyproject.toml, which is needed to have a consistent lockfile. \r\nWhen a dev has an outdated uv version, they'll get an error\r\n\r\n```\r\nerror: Required version `>=0.5.20` does not match the running version `0.5.19`\r\n```\r\n\r\nAlso pinned the `setup-uv` action to a specific version to prevent accidental regressions since that action is still undergoing heavy development. The new 5.2.0 also allows us to drop a VIRTUAL_ENV workaround. :tada:", + "timestamp": "2025-01-16T16:10:03+01:00", + "url": "https://github.com/aiidateam/aiida-core/commit/c88fc05ba111f82e089553e5413b2c7c4d482f6f", + "distinct": true, + "tree_id": "8c1bfb3c612d3e0f936763c43febb0a2e7b29c48" + }, + "date": 1737040788384, + "benches": [ + { + "name": "tests/benchmark/test_archive.py::test_export[no-objects]", + "value": 2.2492940679135, + "unit": "iter/sec", + "range": "stddev: 0.062351", + "group": "import-export", + "extra": "mean: 444.58 msec\nrounds: 12" + }, + { + "name": "tests/benchmark/test_archive.py::test_export[with-objects]", + "value": 2.096468039726819, + "unit": "iter/sec", + "range": "stddev: 0.066568", + "group": "import-export", + "extra": "mean: 476.99 msec\nrounds: 12" + }, + { + "name": "tests/benchmark/test_archive.py::test_import[no-objects]", + "value": 2.9577978132247726, + "unit": "iter/sec", + "range": "stddev: 0.0049247", + "group": "import-export", + "extra": "mean: 338.09 msec\nrounds: 12" + }, + { + "name": "tests/benchmark/test_archive.py::test_import[with-objects]", + "value": 3.013920639384713, + "unit": "iter/sec", + "range": "stddev: 0.0040104", + "group": "import-export", + "extra": "mean: 331.79 msec\nrounds: 12" + }, + { + "name": "tests/benchmark/test_engine.py::test_workchain_local[basic-loop]", + "value": 2.7312383450634785, + "unit": "iter/sec", + "range": "stddev: 0.0068192", + "group": "engine", + "extra": "mean: 366.13 msec\nrounds: 10" + }, + { + "name": "tests/benchmark/test_engine.py::test_workchain_local[serial-wc-loop]", + "value": 0.5795033546145324, + "unit": "iter/sec", + "range": "stddev: 0.10227", + "group": "engine", + "extra": "mean: 1.7256 sec\nrounds: 10" + }, + { + "name": "tests/benchmark/test_engine.py::test_workchain_local[threaded-wc-loop]", + "value": 0.6564694743683236, + "unit": "iter/sec", + "range": "stddev: 0.090903", + "group": "engine", + "extra": "mean: 1.5233 sec\nrounds: 10" + }, + { + "name": "tests/benchmark/test_engine.py::test_workchain_local[serial-calcjob-loop]", + "value": 0.17015651311205918, + "unit": "iter/sec", + "range": "stddev: 0.13100", + "group": "engine", + "extra": "mean: 5.8769 sec\nrounds: 10" + }, + { + "name": "tests/benchmark/test_engine.py::test_workchain_local[threaded-calcjob-loop]", + "value": 0.18536409612894852, + "unit": "iter/sec", + "range": "stddev: 0.17446", + "group": "engine", + "extra": "mean: 5.3948 sec\nrounds: 10" + }, + { + "name": "tests/benchmark/test_engine.py::test_workchain_daemon[basic-loop]", + "value": 1.8337692364486389, + "unit": "iter/sec", + "range": "stddev: 0.091007", + "group": "engine", + "extra": "mean: 545.32 msec\nrounds: 10" + }, + { + "name": "tests/benchmark/test_engine.py::test_workchain_daemon[serial-wc-loop]", + "value": 0.40860835743654583, + "unit": "iter/sec", + "range": "stddev: 0.047068", + "group": "engine", + "extra": "mean: 2.4473 sec\nrounds: 10" + }, + { + "name": "tests/benchmark/test_engine.py::test_workchain_daemon[threaded-wc-loop]", + "value": 0.4510629646169932, + "unit": "iter/sec", + "range": "stddev: 0.056016", + "group": "engine", + "extra": "mean: 2.2170 sec\nrounds: 10" + }, + { + "name": "tests/benchmark/test_engine.py::test_workchain_daemon[serial-calcjob-loop]", + "value": 0.13365849691555048, + "unit": "iter/sec", + "range": "stddev: 0.067404", + "group": "engine", + "extra": "mean: 7.4818 sec\nrounds: 10" + }, + { + "name": "tests/benchmark/test_engine.py::test_workchain_daemon[threaded-calcjob-loop]", + "value": 0.1451091425235226, + "unit": "iter/sec", + "range": "stddev: 0.057570", + "group": "engine", + "extra": "mean: 6.8914 sec\nrounds: 10" + }, + { + "name": "tests/benchmark/test_nodes.py::test_store_backend", + "value": 424.6497986444802, + "unit": "iter/sec", + "range": "stddev: 0.000061815", + "group": "node", + "extra": "mean: 2.3549 msec\nrounds: 249" + }, + { + "name": "tests/benchmark/test_nodes.py::test_store", + "value": 36.495759986112034, + "unit": "iter/sec", + "range": "stddev: 0.00039704", + "group": "node", + "extra": "mean: 27.400 msec\nrounds: 100" + }, + { + "name": "tests/benchmark/test_nodes.py::test_store_with_object", + "value": 26.68161533694406, + "unit": "iter/sec", + "range": "stddev: 0.00083716", + "group": "node", + "extra": "mean: 37.479 msec\nrounds: 100" + }, + { + "name": "tests/benchmark/test_nodes.py::test_delete_backend", + "value": 257.7471890980371, + "unit": "iter/sec", + "range": "stddev: 0.00030575", + "group": "node", + "extra": "mean: 3.8798 msec\nrounds: 100" + }, + { + "name": "tests/benchmark/test_nodes.py::test_delete", + "value": 28.91530530202534, + "unit": "iter/sec", + "range": "stddev: 0.00081011", + "group": "node", + "extra": "mean: 34.584 msec\nrounds: 100" + }, + { + "name": "tests/benchmark/test_nodes.py::test_delete_with_object", + "value": 27.554109991751513, + "unit": "iter/sec", + "range": "stddev: 0.027676", + "group": "node", + "extra": "mean: 36.292 msec\nrounds: 100" + } + ] } ] }