From fcf72c881860200f941b5cd1670835d763c92a2c Mon Sep 17 00:00:00 2001 From: Function Key Date: Tue, 3 Oct 2023 03:19:41 +0200 Subject: [PATCH] Add new storage performance benchmark result GitHub Actions benchmarking storage performance test ran and created a new result file. --- ...benchmark-dark-storage-github-actions.json | 2734 +++++++++++++++++ 1 file changed, 2734 insertions(+) create mode 100644 .benchmarks/Linux-CPython-3.8-64bit/0002_benchmark-dark-storage-github-actions.json diff --git a/.benchmarks/Linux-CPython-3.8-64bit/0002_benchmark-dark-storage-github-actions.json b/.benchmarks/Linux-CPython-3.8-64bit/0002_benchmark-dark-storage-github-actions.json new file mode 100644 index 00000000000..e4404ab0548 --- /dev/null +++ b/.benchmarks/Linux-CPython-3.8-64bit/0002_benchmark-dark-storage-github-actions.json @@ -0,0 +1,2734 @@ +{ + "machine_info": { + "node": "st-linapp1218.st.statoil.no", + "processor": "x86_64", + "machine": "x86_64", + "python_compiler": "GCC 9.1.1 20190605 (Red Hat 9.1.1-2)", + "python_implementation": "CPython", + "python_implementation_version": "3.8.14", + "python_version": "3.8.14", + "python_build": [ + "default", + "Sep 19 2022 09:47:48" + ], + "release": "3.10.0-1160.95.1.el7.x86_64", + "system": "Linux", + "cpu": { + "python_version": "3.8.14.final.0 (64 bit)", + "cpuinfo_version": [ + 9, + 0, + 0 + ], + "cpuinfo_version_string": "9.0.0", + "arch": "X86_64", + "bits": 64, + "count": 6, + "arch_string_raw": "x86_64", + "vendor_id_raw": "GenuineIntel", + "brand_raw": "Intel(R) Xeon(R) Platinum 8160 CPU @ 2.10GHz", + "hz_advertised_friendly": "2.1000 GHz", + "hz_actual_friendly": "2.0951 GHz", + "hz_advertised": [ + 2100000000, + 0 + ], + "hz_actual": [ + 2095077000, + 0 + ], + "stepping": 4, + "model": 85, + "family": 6, + "flags": [ + "3dnowprefetch", + "abm", + "adx", + "aes", + "apic", + "arat", + "arch_capabilities", + "arch_perfmon", + "avx", + "avx2", + "bmi1", + "bmi2", + "clflush", + "cmov", + "constant_tsc", + "cx16", + "cx8", + "de", + "eagerfpu", + "f16c", + "flush_l1d", + "fma", + "fpu", + "fsgsbase", + "fxsr", + "hypervisor", + "ibpb", + "ibrs", + "intel_stibp", + "invpcid", + "invpcid_single", + "lahf_lm", + "lm", + "mca", + "mce", + "md_clear", + "mmx", + "movbe", + "msr", + "mtrr", + "nonstop_tsc", + "nopl", + "nx", + "pae", + "pat", + "pcid", + "pclmulqdq", + "pdpe1gb", + "pge", + "pni", + "popcnt", + "pse", + "pse36", + "rdrand", + "rdseed", + "rdtscp", + "rsb_ctxsw", + "sep", + "smap", + "smep", + "spec_ctrl", + "ss", + "ssbd", + "sse", + "sse2", + "sse4_1", + "sse4_2", + "ssse3", + "stibp", + "syscall", + "tsc", + "tsc_adjust", + "tsc_deadline_timer", + "tsc_reliable", + "vme", + "x2apic", + "xsave", + "xsaveopt", + "xtopology" + ], + "l3_cache_size": 34603008, + "l2_cache_size": 1048576, + "l1_data_cache_size": 32768, + "l1_instruction_cache_size": 32768 + } + }, + "commit_info": { + "id": "0afc247b6ef44732d1c9af720a0d6317012566e9", + "time": "%cI", + "author_time": "%aI", + "dirty": false, + "project": "ert", + "branch": "main" + }, + "benchmarks": [ + { + "group": null, + "name": "test_direct_dark_performance[gen_x: 2000, sum_x: 2000 reals: 100-summary-get_result]", + "fullname": "tests/performance_tests/test_dark_storage_performance.py::test_direct_dark_performance[gen_x: 2000, sum_x: 2000 reals: 100-summary-get_result]", + "params": { + "template_config": { + "gen_data_count": 2, + "gen_data_entries": 2000, + "summary_data_entries": 2000, + "reals": 100, + "summary_data_count": 2, + "sum_obs_count": 1, + "gen_obs_count": 1, + "sum_obs_every": 2, + "gen_obs_every": 2, + "parameter_entries": 3, + "parameter_count": 1, + "update_steps": 1, + "marks": "UNSERIALIZABLE[MarkDecorator(mark=Mark(name='slow', args=(), kwargs={}))]", + "folder": "UNSERIALIZABLE[local('/tmp/pytest-of-f_scout_ci/pytest-15/my_poly_tmp0/da004c364edf79ad773230f0f279e3ad45298b7f/poly')]" + }, + "keyword": "summary", + "function": "UNSERIALIZABLE[]" + }, + "param": "gen_x: 2000, sum_x: 2000 reals: 100-summary-get_result", + "extra_info": {}, + "options": { + "disable_gc": true, + "timer": "perf_counter", + "min_rounds": 25, + "max_time": 1.0, + "min_time": 5e-06, + "warmup": 100000 + }, + "stats": { + "min": 0.5950403169263154, + "max": 0.6435720510780811, + "mean": 0.6081136795785278, + "stddev": 0.010473210341243369, + "rounds": 25, + "median": 0.6053479348774999, + "iqr": 0.010836100555025041, + "q1": 0.6029046390322037, + "q3": 0.6137407395872287, + "iqr_outliers": 1, + "stddev_outliers": 5, + "outliers": "5;1", + "ld15iqr": 0.5950403169263154, + "hd15iqr": 0.6435720510780811, + "ops": 1.6444293782259285, + "total": 15.202841989463195, + "iterations": 1 + } + }, + { + "group": null, + "name": "test_direct_dark_performance[gen_x: 2000, sum_x: 2000 reals: 100-summary-get_record_parquet]", + "fullname": "tests/performance_tests/test_dark_storage_performance.py::test_direct_dark_performance[gen_x: 2000, sum_x: 2000 reals: 100-summary-get_record_parquet]", + "params": { + "template_config": { + "gen_data_count": 2, + "gen_data_entries": 2000, + "summary_data_entries": 2000, + "reals": 100, + "summary_data_count": 2, + "sum_obs_count": 1, + "gen_obs_count": 1, + "sum_obs_every": 2, + "gen_obs_every": 2, + "parameter_entries": 3, + "parameter_count": 1, + "update_steps": 1, + "marks": "UNSERIALIZABLE[MarkDecorator(mark=Mark(name='slow', args=(), kwargs={}))]", + "folder": "UNSERIALIZABLE[local('/tmp/pytest-of-f_scout_ci/pytest-15/my_poly_tmp0/da004c364edf79ad773230f0f279e3ad45298b7f/poly')]" + }, + "keyword": "summary", + "function": "UNSERIALIZABLE[]" + }, + "param": "gen_x: 2000, sum_x: 2000 reals: 100-summary-get_record_parquet", + "extra_info": {}, + "options": { + "disable_gc": true, + "timer": "perf_counter", + "min_rounds": 25, + "max_time": 1.0, + "min_time": 5e-06, + "warmup": 100000 + }, + "stats": { + "min": 0.542664468055591, + "max": 0.5884482741821557, + "mean": 0.5664090241398663, + "stddev": 0.010197135483322625, + "rounds": 25, + "median": 0.5643382100388408, + "iqr": 0.012065168819390237, + "q1": 0.5609734206809662, + "q3": 0.5730385895003565, + "iqr_outliers": 1, + "stddev_outliers": 5, + "outliers": "5;1", + "ld15iqr": 0.554012737935409, + "hd15iqr": 0.5884482741821557, + "ops": 1.7655085942858584, + "total": 14.160225603496656, + "iterations": 1 + } + }, + { + "group": null, + "name": "test_direct_dark_performance[gen_x: 2000, sum_x: 2000 reals: 100-summary-get_record_csv]", + "fullname": "tests/performance_tests/test_dark_storage_performance.py::test_direct_dark_performance[gen_x: 2000, sum_x: 2000 reals: 100-summary-get_record_csv]", + "params": { + "template_config": { + "gen_data_count": 2, + "gen_data_entries": 2000, + "summary_data_entries": 2000, + "reals": 100, + "summary_data_count": 2, + "sum_obs_count": 1, + "gen_obs_count": 1, + "sum_obs_every": 2, + "gen_obs_every": 2, + "parameter_entries": 3, + "parameter_count": 1, + "update_steps": 1, + "marks": "UNSERIALIZABLE[MarkDecorator(mark=Mark(name='slow', args=(), kwargs={}))]", + "folder": "UNSERIALIZABLE[local('/tmp/pytest-of-f_scout_ci/pytest-15/my_poly_tmp0/da004c364edf79ad773230f0f279e3ad45298b7f/poly')]" + }, + "keyword": "summary", + "function": "UNSERIALIZABLE[]" + }, + "param": "gen_x: 2000, sum_x: 2000 reals: 100-summary-get_record_csv", + "extra_info": {}, + "options": { + "disable_gc": true, + "timer": "perf_counter", + "min_rounds": 25, + "max_time": 1.0, + "min_time": 5e-06, + "warmup": 100000 + }, + "stats": { + "min": 0.5871689170598984, + "max": 0.611536183161661, + "mean": 0.5983984523173421, + "stddev": 0.007055219780175954, + "rounds": 25, + "median": 0.595849592005834, + "iqr": 0.009950665757060051, + "q1": 0.5932219321257435, + "q3": 0.6031725978828035, + "iqr_outliers": 0, + "stddev_outliers": 7, + "outliers": "7;0", + "ld15iqr": 0.5871689170598984, + "hd15iqr": 0.611536183161661, + "ops": 1.6711273168027527, + "total": 14.959961307933554, + "iterations": 1 + } + }, + { + "group": null, + "name": "test_direct_dark_performance[gen_x: 2000, sum_x: 2000 reals: 100-summary-get_single_record_parquet]", + "fullname": "tests/performance_tests/test_dark_storage_performance.py::test_direct_dark_performance[gen_x: 2000, sum_x: 2000 reals: 100-summary-get_single_record_parquet]", + "params": { + "template_config": { + "gen_data_count": 2, + "gen_data_entries": 2000, + "summary_data_entries": 2000, + "reals": 100, + "summary_data_count": 2, + "sum_obs_count": 1, + "gen_obs_count": 1, + "sum_obs_every": 2, + "gen_obs_every": 2, + "parameter_entries": 3, + "parameter_count": 1, + "update_steps": 1, + "marks": "UNSERIALIZABLE[MarkDecorator(mark=Mark(name='slow', args=(), kwargs={}))]", + "folder": "UNSERIALIZABLE[local('/tmp/pytest-of-f_scout_ci/pytest-15/my_poly_tmp0/da004c364edf79ad773230f0f279e3ad45298b7f/poly')]" + }, + "keyword": "summary", + "function": "UNSERIALIZABLE[]" + }, + "param": "gen_x: 2000, sum_x: 2000 reals: 100-summary-get_single_record_parquet", + "extra_info": {}, + "options": { + "disable_gc": true, + "timer": "perf_counter", + "min_rounds": 25, + "max_time": 1.0, + "min_time": 5e-06, + "warmup": 100000 + }, + "stats": { + "min": 0.3595626438036561, + "max": 0.39396890392526984, + "mean": 0.3760146807320416, + "stddev": 0.009263297247123476, + "rounds": 25, + "median": 0.37571752397343516, + "iqr": 0.013772433856502175, + "q1": 0.3679973006946966, + "q3": 0.3817697345511988, + "iqr_outliers": 0, + "stddev_outliers": 8, + "outliers": "8;0", + "ld15iqr": 0.3595626438036561, + "hd15iqr": 0.39396890392526984, + "ops": 2.659470630383784, + "total": 9.40036701830104, + "iterations": 1 + } + }, + { + "group": null, + "name": "test_direct_dark_performance[gen_x: 2000, sum_x: 2000 reals: 100-summary-get_observations]", + "fullname": "tests/performance_tests/test_dark_storage_performance.py::test_direct_dark_performance[gen_x: 2000, sum_x: 2000 reals: 100-summary-get_observations]", + "params": { + "template_config": { + "gen_data_count": 2, + "gen_data_entries": 2000, + "summary_data_entries": 2000, + "reals": 100, + "summary_data_count": 2, + "sum_obs_count": 1, + "gen_obs_count": 1, + "sum_obs_every": 2, + "gen_obs_every": 2, + "parameter_entries": 3, + "parameter_count": 1, + "update_steps": 1, + "marks": "UNSERIALIZABLE[MarkDecorator(mark=Mark(name='slow', args=(), kwargs={}))]", + "folder": "UNSERIALIZABLE[local('/tmp/pytest-of-f_scout_ci/pytest-15/my_poly_tmp0/da004c364edf79ad773230f0f279e3ad45298b7f/poly')]" + }, + "keyword": "summary", + "function": "UNSERIALIZABLE[]" + }, + "param": "gen_x: 2000, sum_x: 2000 reals: 100-summary-get_observations", + "extra_info": {}, + "options": { + "disable_gc": true, + "timer": "perf_counter", + "min_rounds": 25, + "max_time": 1.0, + "min_time": 5e-06, + "warmup": 100000 + }, + "stats": { + "min": 0.0013583898544311523, + "max": 0.0023697749711573124, + "mean": 0.0014774421310310413, + "stddev": 9.842974282832225e-05, + "rounds": 736, + "median": 0.0014549650950357318, + "iqr": 0.0001236755633726716, + "q1": 0.0014019354712218046, + "q3": 0.0015256110345944762, + "iqr_outliers": 18, + "stddev_outliers": 182, + "outliers": "182;18", + "ld15iqr": 0.0013583898544311523, + "hd15iqr": 0.001714708050712943, + "ops": 676.8454608114798, + "total": 1.0873974084388465, + "iterations": 1 + } + }, + { + "group": null, + "name": "test_direct_dark_performance[gen_x: 2000, sum_x: 2000 reals: 100-summary-get_parameters]", + "fullname": "tests/performance_tests/test_dark_storage_performance.py::test_direct_dark_performance[gen_x: 2000, sum_x: 2000 reals: 100-summary-get_parameters]", + "params": { + "template_config": { + "gen_data_count": 2, + "gen_data_entries": 2000, + "summary_data_entries": 2000, + "reals": 100, + "summary_data_count": 2, + "sum_obs_count": 1, + "gen_obs_count": 1, + "sum_obs_every": 2, + "gen_obs_every": 2, + "parameter_entries": 3, + "parameter_count": 1, + "update_steps": 1, + "marks": "UNSERIALIZABLE[MarkDecorator(mark=Mark(name='slow', args=(), kwargs={}))]", + "folder": "UNSERIALIZABLE[local('/tmp/pytest-of-f_scout_ci/pytest-15/my_poly_tmp0/da004c364edf79ad773230f0f279e3ad45298b7f/poly')]" + }, + "keyword": "summary", + "function": "UNSERIALIZABLE[]" + }, + "param": "gen_x: 2000, sum_x: 2000 reals: 100-summary-get_parameters", + "extra_info": {}, + "options": { + "disable_gc": true, + "timer": "perf_counter", + "min_rounds": 25, + "max_time": 1.0, + "min_time": 5e-06, + "warmup": 100000 + }, + "stats": { + "min": 3.296299837529659e-05, + "max": 0.00012428779155015945, + "mean": 3.595803822571559e-05, + "stddev": 5.211172525385757e-06, + "rounds": 30130, + "median": 3.443798050284386e-05, + "iqr": 7.841736078262329e-07, + "q1": 3.413786180317402e-05, + "q3": 3.492203541100025e-05, + "iqr_outliers": 4431, + "stddev_outliers": 2669, + "outliers": "2669;4431", + "ld15iqr": 3.296299837529659e-05, + "hd15iqr": 3.609899431467056e-05, + "ops": 27810.193473926625, + "total": 1.0834156917408109, + "iterations": 1 + } + }, + { + "group": null, + "name": "test_direct_dark_performance[gen_x: 2000, sum_x: 2000 reals: 100-gen_data-get_result]", + "fullname": "tests/performance_tests/test_dark_storage_performance.py::test_direct_dark_performance[gen_x: 2000, sum_x: 2000 reals: 100-gen_data-get_result]", + "params": { + "template_config": { + "gen_data_count": 2, + "gen_data_entries": 2000, + "summary_data_entries": 2000, + "reals": 100, + "summary_data_count": 2, + "sum_obs_count": 1, + "gen_obs_count": 1, + "sum_obs_every": 2, + "gen_obs_every": 2, + "parameter_entries": 3, + "parameter_count": 1, + "update_steps": 1, + "marks": "UNSERIALIZABLE[MarkDecorator(mark=Mark(name='slow', args=(), kwargs={}))]", + "folder": "UNSERIALIZABLE[local('/tmp/pytest-of-f_scout_ci/pytest-15/my_poly_tmp0/da004c364edf79ad773230f0f279e3ad45298b7f/poly')]" + }, + "keyword": "gen_data", + "function": "UNSERIALIZABLE[]" + }, + "param": "gen_x: 2000, sum_x: 2000 reals: 100-gen_data-get_result", + "extra_info": {}, + "options": { + "disable_gc": true, + "timer": "perf_counter", + "min_rounds": 25, + "max_time": 1.0, + "min_time": 5e-06, + "warmup": 100000 + }, + "stats": { + "min": 0.47719854209572077, + "max": 0.5234511510934681, + "mean": 0.49071738139726223, + "stddev": 0.009934253829987492, + "rounds": 25, + "median": 0.48859658907167614, + "iqr": 0.010231020743958652, + "q1": 0.4839941159589216, + "q3": 0.49422513670288026, + "iqr_outliers": 1, + "stddev_outliers": 5, + "outliers": "5;1", + "ld15iqr": 0.47719854209572077, + "hd15iqr": 0.5234511510934681, + "ops": 2.037832850250002, + "total": 12.267934534931555, + "iterations": 1 + } + }, + { + "group": null, + "name": "test_direct_dark_performance[gen_x: 2000, sum_x: 2000 reals: 100-gen_data-get_record_parquet]", + "fullname": "tests/performance_tests/test_dark_storage_performance.py::test_direct_dark_performance[gen_x: 2000, sum_x: 2000 reals: 100-gen_data-get_record_parquet]", + "params": { + "template_config": { + "gen_data_count": 2, + "gen_data_entries": 2000, + "summary_data_entries": 2000, + "reals": 100, + "summary_data_count": 2, + "sum_obs_count": 1, + "gen_obs_count": 1, + "sum_obs_every": 2, + "gen_obs_every": 2, + "parameter_entries": 3, + "parameter_count": 1, + "update_steps": 1, + "marks": "UNSERIALIZABLE[MarkDecorator(mark=Mark(name='slow', args=(), kwargs={}))]", + "folder": "UNSERIALIZABLE[local('/tmp/pytest-of-f_scout_ci/pytest-15/my_poly_tmp0/da004c364edf79ad773230f0f279e3ad45298b7f/poly')]" + }, + "keyword": "gen_data", + "function": "UNSERIALIZABLE[]" + }, + "param": "gen_x: 2000, sum_x: 2000 reals: 100-gen_data-get_record_parquet", + "extra_info": {}, + "options": { + "disable_gc": true, + "timer": "perf_counter", + "min_rounds": 25, + "max_time": 1.0, + "min_time": 5e-06, + "warmup": 100000 + }, + "stats": { + "min": 0.3618928259238601, + "max": 0.4082068530842662, + "mean": 0.3803892286680639, + "stddev": 0.010880946436000374, + "rounds": 25, + "median": 0.37816071999259293, + "iqr": 0.0143230288522318, + "q1": 0.37227371241897345, + "q3": 0.38659674127120525, + "iqr_outliers": 1, + "stddev_outliers": 7, + "outliers": "7;1", + "ld15iqr": 0.3618928259238601, + "hd15iqr": 0.4082068530842662, + "ops": 2.628886216104248, + "total": 9.509730716701597, + "iterations": 1 + } + }, + { + "group": null, + "name": "test_direct_dark_performance[gen_x: 2000, sum_x: 2000 reals: 100-gen_data-get_record_csv]", + "fullname": "tests/performance_tests/test_dark_storage_performance.py::test_direct_dark_performance[gen_x: 2000, sum_x: 2000 reals: 100-gen_data-get_record_csv]", + "params": { + "template_config": { + "gen_data_count": 2, + "gen_data_entries": 2000, + "summary_data_entries": 2000, + "reals": 100, + "summary_data_count": 2, + "sum_obs_count": 1, + "gen_obs_count": 1, + "sum_obs_every": 2, + "gen_obs_every": 2, + "parameter_entries": 3, + "parameter_count": 1, + "update_steps": 1, + "marks": "UNSERIALIZABLE[MarkDecorator(mark=Mark(name='slow', args=(), kwargs={}))]", + "folder": "UNSERIALIZABLE[local('/tmp/pytest-of-f_scout_ci/pytest-15/my_poly_tmp0/da004c364edf79ad773230f0f279e3ad45298b7f/poly')]" + }, + "keyword": "gen_data", + "function": "UNSERIALIZABLE[]" + }, + "param": "gen_x: 2000, sum_x: 2000 reals: 100-gen_data-get_record_csv", + "extra_info": {}, + "options": { + "disable_gc": true, + "timer": "perf_counter", + "min_rounds": 25, + "max_time": 1.0, + "min_time": 5e-06, + "warmup": 100000 + }, + "stats": { + "min": 0.46631897799670696, + "max": 0.5085481312125921, + "mean": 0.48835505669005214, + "stddev": 0.010210612320064353, + "rounds": 25, + "median": 0.48984794109128416, + "iqr": 0.013287808862514794, + "q1": 0.4811802515760064, + "q3": 0.4944680604385212, + "iqr_outliers": 0, + "stddev_outliers": 7, + "outliers": "7;0", + "ld15iqr": 0.46631897799670696, + "hd15iqr": 0.5085481312125921, + "ops": 2.0476904790906616, + "total": 12.208876417251304, + "iterations": 1 + } + }, + { + "group": null, + "name": "test_direct_dark_performance[gen_x: 2000, sum_x: 2000 reals: 100-gen_data-get_single_record_parquet]", + "fullname": "tests/performance_tests/test_dark_storage_performance.py::test_direct_dark_performance[gen_x: 2000, sum_x: 2000 reals: 100-gen_data-get_single_record_parquet]", + "params": { + "template_config": { + "gen_data_count": 2, + "gen_data_entries": 2000, + "summary_data_entries": 2000, + "reals": 100, + "summary_data_count": 2, + "sum_obs_count": 1, + "gen_obs_count": 1, + "sum_obs_every": 2, + "gen_obs_every": 2, + "parameter_entries": 3, + "parameter_count": 1, + "update_steps": 1, + "marks": "UNSERIALIZABLE[MarkDecorator(mark=Mark(name='slow', args=(), kwargs={}))]", + "folder": "UNSERIALIZABLE[local('/tmp/pytest-of-f_scout_ci/pytest-15/my_poly_tmp0/da004c364edf79ad773230f0f279e3ad45298b7f/poly')]" + }, + "keyword": "gen_data", + "function": "UNSERIALIZABLE[]" + }, + "param": "gen_x: 2000, sum_x: 2000 reals: 100-gen_data-get_single_record_parquet", + "extra_info": {}, + "options": { + "disable_gc": true, + "timer": "perf_counter", + "min_rounds": 25, + "max_time": 1.0, + "min_time": 5e-06, + "warmup": 100000 + }, + "stats": { + "min": 0.3532731148879975, + "max": 0.41207419615238905, + "mean": 0.3702173377666622, + "stddev": 0.01174010241740405, + "rounds": 25, + "median": 0.3697482750285417, + "iqr": 0.01234430621843785, + "q1": 0.36267796449828893, + "q3": 0.3750222707167268, + "iqr_outliers": 1, + "stddev_outliers": 5, + "outliers": "5;1", + "ld15iqr": 0.3532731148879975, + "hd15iqr": 0.41207419615238905, + "ops": 2.7011160688273126, + "total": 9.255433444166556, + "iterations": 1 + } + }, + { + "group": null, + "name": "test_direct_dark_performance[gen_x: 2000, sum_x: 2000 reals: 100-gen_data-get_observations]", + "fullname": "tests/performance_tests/test_dark_storage_performance.py::test_direct_dark_performance[gen_x: 2000, sum_x: 2000 reals: 100-gen_data-get_observations]", + "params": { + "template_config": { + "gen_data_count": 2, + "gen_data_entries": 2000, + "summary_data_entries": 2000, + "reals": 100, + "summary_data_count": 2, + "sum_obs_count": 1, + "gen_obs_count": 1, + "sum_obs_every": 2, + "gen_obs_every": 2, + "parameter_entries": 3, + "parameter_count": 1, + "update_steps": 1, + "marks": "UNSERIALIZABLE[MarkDecorator(mark=Mark(name='slow', args=(), kwargs={}))]", + "folder": "UNSERIALIZABLE[local('/tmp/pytest-of-f_scout_ci/pytest-15/my_poly_tmp0/da004c364edf79ad773230f0f279e3ad45298b7f/poly')]" + }, + "keyword": "gen_data", + "function": "UNSERIALIZABLE[]" + }, + "param": "gen_x: 2000, sum_x: 2000 reals: 100-gen_data-get_observations", + "extra_info": {}, + "options": { + "disable_gc": true, + "timer": "perf_counter", + "min_rounds": 25, + "max_time": 1.0, + "min_time": 5e-06, + "warmup": 100000 + }, + "stats": { + "min": 0.00044983113184571266, + "max": 0.0009753000922501087, + "mean": 0.0005234386476691437, + "stddev": 9.635767179052966e-05, + "rounds": 2224, + "median": 0.0004855331499129534, + "iqr": 7.596448995172977e-05, + "q1": 0.0004670229973271489, + "q3": 0.0005429874872788787, + "iqr_outliers": 128, + "stddev_outliers": 209, + "outliers": "209;128", + "ld15iqr": 0.00044983113184571266, + "hd15iqr": 0.0006570098921656609, + "ops": 1910.4435724281527, + "total": 1.1641275524161756, + "iterations": 1 + } + }, + { + "group": null, + "name": "test_direct_dark_performance[gen_x: 2000, sum_x: 2000 reals: 100-gen_data-get_parameters]", + "fullname": "tests/performance_tests/test_dark_storage_performance.py::test_direct_dark_performance[gen_x: 2000, sum_x: 2000 reals: 100-gen_data-get_parameters]", + "params": { + "template_config": { + "gen_data_count": 2, + "gen_data_entries": 2000, + "summary_data_entries": 2000, + "reals": 100, + "summary_data_count": 2, + "sum_obs_count": 1, + "gen_obs_count": 1, + "sum_obs_every": 2, + "gen_obs_every": 2, + "parameter_entries": 3, + "parameter_count": 1, + "update_steps": 1, + "marks": "UNSERIALIZABLE[MarkDecorator(mark=Mark(name='slow', args=(), kwargs={}))]", + "folder": "UNSERIALIZABLE[local('/tmp/pytest-of-f_scout_ci/pytest-15/my_poly_tmp0/da004c364edf79ad773230f0f279e3ad45298b7f/poly')]" + }, + "keyword": "gen_data", + "function": "UNSERIALIZABLE[]" + }, + "param": "gen_x: 2000, sum_x: 2000 reals: 100-gen_data-get_parameters", + "extra_info": {}, + "options": { + "disable_gc": true, + "timer": "perf_counter", + "min_rounds": 25, + "max_time": 1.0, + "min_time": 5e-06, + "warmup": 100000 + }, + "stats": { + "min": 3.290502354502678e-05, + "max": 0.0001103309914469719, + "mean": 3.722362712107959e-05, + "stddev": 7.347119270473101e-06, + "rounds": 29959, + "median": 3.4362077713012695e-05, + "iqr": 1.0679941624403e-06, + "q1": 3.4051015973091125e-05, + "q3": 3.5119010135531425e-05, + "iqr_outliers": 5903, + "stddev_outliers": 3243, + "outliers": "3243;5903", + "ld15iqr": 3.290502354502678e-05, + "hd15iqr": 3.6727869883179665e-05, + "ops": 26864.657674203485, + "total": 1.1151826449204236, + "iterations": 1 + } + }, + { + "group": null, + "name": "test_direct_dark_performance[gen_x: 2000, sum_x: 2000 reals: 100-summary_with_obs-get_result]", + "fullname": "tests/performance_tests/test_dark_storage_performance.py::test_direct_dark_performance[gen_x: 2000, sum_x: 2000 reals: 100-summary_with_obs-get_result]", + "params": { + "template_config": { + "gen_data_count": 2, + "gen_data_entries": 2000, + "summary_data_entries": 2000, + "reals": 100, + "summary_data_count": 2, + "sum_obs_count": 1, + "gen_obs_count": 1, + "sum_obs_every": 2, + "gen_obs_every": 2, + "parameter_entries": 3, + "parameter_count": 1, + "update_steps": 1, + "marks": "UNSERIALIZABLE[MarkDecorator(mark=Mark(name='slow', args=(), kwargs={}))]", + "folder": "UNSERIALIZABLE[local('/tmp/pytest-of-f_scout_ci/pytest-15/my_poly_tmp0/da004c364edf79ad773230f0f279e3ad45298b7f/poly')]" + }, + "keyword": "summary_with_obs", + "function": "UNSERIALIZABLE[]" + }, + "param": "gen_x: 2000, sum_x: 2000 reals: 100-summary_with_obs-get_result", + "extra_info": {}, + "options": { + "disable_gc": true, + "timer": "perf_counter", + "min_rounds": 25, + "max_time": 1.0, + "min_time": 5e-06, + "warmup": 100000 + }, + "stats": { + "min": 0.6136124571785331, + "max": 0.6709345148410648, + "mean": 0.6381126829050481, + "stddev": 0.013086797374414472, + "rounds": 25, + "median": 0.6363998991437256, + "iqr": 0.010617074905894697, + "q1": 0.6321631269529462, + "q3": 0.6427802018588409, + "iqr_outliers": 3, + "stddev_outliers": 7, + "outliers": "7;3", + "ld15iqr": 0.6177763890009373, + "hd15iqr": 0.6709345148410648, + "ops": 1.5671213357606952, + "total": 15.952817072626203, + "iterations": 1 + } + }, + { + "group": null, + "name": "test_direct_dark_performance[gen_x: 2000, sum_x: 2000 reals: 100-summary_with_obs-get_record_parquet]", + "fullname": "tests/performance_tests/test_dark_storage_performance.py::test_direct_dark_performance[gen_x: 2000, sum_x: 2000 reals: 100-summary_with_obs-get_record_parquet]", + "params": { + "template_config": { + "gen_data_count": 2, + "gen_data_entries": 2000, + "summary_data_entries": 2000, + "reals": 100, + "summary_data_count": 2, + "sum_obs_count": 1, + "gen_obs_count": 1, + "sum_obs_every": 2, + "gen_obs_every": 2, + "parameter_entries": 3, + "parameter_count": 1, + "update_steps": 1, + "marks": "UNSERIALIZABLE[MarkDecorator(mark=Mark(name='slow', args=(), kwargs={}))]", + "folder": "UNSERIALIZABLE[local('/tmp/pytest-of-f_scout_ci/pytest-15/my_poly_tmp0/da004c364edf79ad773230f0f279e3ad45298b7f/poly')]" + }, + "keyword": "summary_with_obs", + "function": "UNSERIALIZABLE[]" + }, + "param": "gen_x: 2000, sum_x: 2000 reals: 100-summary_with_obs-get_record_parquet", + "extra_info": {}, + "options": { + "disable_gc": true, + "timer": "perf_counter", + "min_rounds": 25, + "max_time": 1.0, + "min_time": 5e-06, + "warmup": 100000 + }, + "stats": { + "min": 0.575619735987857, + "max": 0.700855587143451, + "mean": 0.6071465827804059, + "stddev": 0.024366250096928214, + "rounds": 25, + "median": 0.6045449438970536, + "iqr": 0.022286501189228147, + "q1": 0.5906891925260425, + "q3": 0.6129756937152706, + "iqr_outliers": 1, + "stddev_outliers": 3, + "outliers": "3;1", + "ld15iqr": 0.575619735987857, + "hd15iqr": 0.700855587143451, + "ops": 1.6470487166715755, + "total": 15.178664569510147, + "iterations": 1 + } + }, + { + "group": null, + "name": "test_direct_dark_performance[gen_x: 2000, sum_x: 2000 reals: 100-summary_with_obs-get_record_csv]", + "fullname": "tests/performance_tests/test_dark_storage_performance.py::test_direct_dark_performance[gen_x: 2000, sum_x: 2000 reals: 100-summary_with_obs-get_record_csv]", + "params": { + "template_config": { + "gen_data_count": 2, + "gen_data_entries": 2000, + "summary_data_entries": 2000, + "reals": 100, + "summary_data_count": 2, + "sum_obs_count": 1, + "gen_obs_count": 1, + "sum_obs_every": 2, + "gen_obs_every": 2, + "parameter_entries": 3, + "parameter_count": 1, + "update_steps": 1, + "marks": "UNSERIALIZABLE[MarkDecorator(mark=Mark(name='slow', args=(), kwargs={}))]", + "folder": "UNSERIALIZABLE[local('/tmp/pytest-of-f_scout_ci/pytest-15/my_poly_tmp0/da004c364edf79ad773230f0f279e3ad45298b7f/poly')]" + }, + "keyword": "summary_with_obs", + "function": "UNSERIALIZABLE[]" + }, + "param": "gen_x: 2000, sum_x: 2000 reals: 100-summary_with_obs-get_record_csv", + "extra_info": {}, + "options": { + "disable_gc": true, + "timer": "perf_counter", + "min_rounds": 25, + "max_time": 1.0, + "min_time": 5e-06, + "warmup": 100000 + }, + "stats": { + "min": 0.6132168278563768, + "max": 0.6607317009475082, + "mean": 0.6365053576231002, + "stddev": 0.011329734948429804, + "rounds": 25, + "median": 0.6373939181212336, + "iqr": 0.012263807991985232, + "q1": 0.6312498896149918, + "q3": 0.6435136976069771, + "iqr_outliers": 0, + "stddev_outliers": 8, + "outliers": "8;0", + "ld15iqr": 0.6132168278563768, + "hd15iqr": 0.6607317009475082, + "ops": 1.5710786846073008, + "total": 15.912633940577507, + "iterations": 1 + } + }, + { + "group": null, + "name": "test_direct_dark_performance[gen_x: 2000, sum_x: 2000 reals: 100-summary_with_obs-get_single_record_parquet]", + "fullname": "tests/performance_tests/test_dark_storage_performance.py::test_direct_dark_performance[gen_x: 2000, sum_x: 2000 reals: 100-summary_with_obs-get_single_record_parquet]", + "params": { + "template_config": { + "gen_data_count": 2, + "gen_data_entries": 2000, + "summary_data_entries": 2000, + "reals": 100, + "summary_data_count": 2, + "sum_obs_count": 1, + "gen_obs_count": 1, + "sum_obs_every": 2, + "gen_obs_every": 2, + "parameter_entries": 3, + "parameter_count": 1, + "update_steps": 1, + "marks": "UNSERIALIZABLE[MarkDecorator(mark=Mark(name='slow', args=(), kwargs={}))]", + "folder": "UNSERIALIZABLE[local('/tmp/pytest-of-f_scout_ci/pytest-15/my_poly_tmp0/da004c364edf79ad773230f0f279e3ad45298b7f/poly')]" + }, + "keyword": "summary_with_obs", + "function": "UNSERIALIZABLE[]" + }, + "param": "gen_x: 2000, sum_x: 2000 reals: 100-summary_with_obs-get_single_record_parquet", + "extra_info": {}, + "options": { + "disable_gc": true, + "timer": "perf_counter", + "min_rounds": 25, + "max_time": 1.0, + "min_time": 5e-06, + "warmup": 100000 + }, + "stats": { + "min": 0.37720776186324656, + "max": 0.424468875862658, + "mean": 0.3965960866678506, + "stddev": 0.013168841127646803, + "rounds": 25, + "median": 0.3978691198863089, + "iqr": 0.016100690001621842, + "q1": 0.38728762249229476, + "q3": 0.4033883124939166, + "iqr_outliers": 0, + "stddev_outliers": 8, + "outliers": "8;0", + "ld15iqr": 0.37720776186324656, + "hd15iqr": 0.424468875862658, + "ops": 2.5214570531995704, + "total": 9.914902166696265, + "iterations": 1 + } + }, + { + "group": null, + "name": "test_direct_dark_performance[gen_x: 2000, sum_x: 2000 reals: 100-summary_with_obs-get_observations]", + "fullname": "tests/performance_tests/test_dark_storage_performance.py::test_direct_dark_performance[gen_x: 2000, sum_x: 2000 reals: 100-summary_with_obs-get_observations]", + "params": { + "template_config": { + "gen_data_count": 2, + "gen_data_entries": 2000, + "summary_data_entries": 2000, + "reals": 100, + "summary_data_count": 2, + "sum_obs_count": 1, + "gen_obs_count": 1, + "sum_obs_every": 2, + "gen_obs_every": 2, + "parameter_entries": 3, + "parameter_count": 1, + "update_steps": 1, + "marks": "UNSERIALIZABLE[MarkDecorator(mark=Mark(name='slow', args=(), kwargs={}))]", + "folder": "UNSERIALIZABLE[local('/tmp/pytest-of-f_scout_ci/pytest-15/my_poly_tmp0/da004c364edf79ad773230f0f279e3ad45298b7f/poly')]" + }, + "keyword": "summary_with_obs", + "function": "UNSERIALIZABLE[]" + }, + "param": "gen_x: 2000, sum_x: 2000 reals: 100-summary_with_obs-get_observations", + "extra_info": {}, + "options": { + "disable_gc": true, + "timer": "perf_counter", + "min_rounds": 25, + "max_time": 1.0, + "min_time": 5e-06, + "warmup": 100000 + }, + "stats": { + "min": 0.979861241998151, + "max": 1.0980846111197025, + "mean": 1.0103286075592042, + "stddev": 0.024560008144150314, + "rounds": 25, + "median": 1.009722659830004, + "iqr": 0.024359679548069835, + "q1": 0.9954105944489129, + "q3": 1.0197702739969827, + "iqr_outliers": 1, + "stddev_outliers": 5, + "outliers": "5;1", + "ld15iqr": 0.979861241998151, + "hd15iqr": 1.0980846111197025, + "ops": 0.9897769819819747, + "total": 25.258215188980103, + "iterations": 1 + } + }, + { + "group": null, + "name": "test_direct_dark_performance[gen_x: 2000, sum_x: 2000 reals: 100-summary_with_obs-get_parameters]", + "fullname": "tests/performance_tests/test_dark_storage_performance.py::test_direct_dark_performance[gen_x: 2000, sum_x: 2000 reals: 100-summary_with_obs-get_parameters]", + "params": { + "template_config": { + "gen_data_count": 2, + "gen_data_entries": 2000, + "summary_data_entries": 2000, + "reals": 100, + "summary_data_count": 2, + "sum_obs_count": 1, + "gen_obs_count": 1, + "sum_obs_every": 2, + "gen_obs_every": 2, + "parameter_entries": 3, + "parameter_count": 1, + "update_steps": 1, + "marks": "UNSERIALIZABLE[MarkDecorator(mark=Mark(name='slow', args=(), kwargs={}))]", + "folder": "UNSERIALIZABLE[local('/tmp/pytest-of-f_scout_ci/pytest-15/my_poly_tmp0/da004c364edf79ad773230f0f279e3ad45298b7f/poly')]" + }, + "keyword": "summary_with_obs", + "function": "UNSERIALIZABLE[]" + }, + "param": "gen_x: 2000, sum_x: 2000 reals: 100-summary_with_obs-get_parameters", + "extra_info": {}, + "options": { + "disable_gc": true, + "timer": "perf_counter", + "min_rounds": 25, + "max_time": 1.0, + "min_time": 5e-06, + "warmup": 100000 + }, + "stats": { + "min": 3.32491472363472e-05, + "max": 0.00010732910595834255, + "mean": 3.71195718823012e-05, + "stddev": 5.662147257875556e-06, + "rounds": 29956, + "median": 3.483903128653765e-05, + "iqr": 2.4230685085058212e-06, + "q1": 3.441399894654751e-05, + "q3": 3.683706745505333e-05, + "iqr_outliers": 4726, + "stddev_outliers": 3173, + "outliers": "3173;4726", + "ld15iqr": 3.32491472363472e-05, + "hd15iqr": 4.047201946377754e-05, + "ops": 26939.96588028552, + "total": 1.1119538953062147, + "iterations": 1 + } + }, + { + "group": null, + "name": "test_direct_dark_performance[gen_x: 2000, sum_x: 2000 reals: 100-gen_data_with_obs-get_result]", + "fullname": "tests/performance_tests/test_dark_storage_performance.py::test_direct_dark_performance[gen_x: 2000, sum_x: 2000 reals: 100-gen_data_with_obs-get_result]", + "params": { + "template_config": { + "gen_data_count": 2, + "gen_data_entries": 2000, + "summary_data_entries": 2000, + "reals": 100, + "summary_data_count": 2, + "sum_obs_count": 1, + "gen_obs_count": 1, + "sum_obs_every": 2, + "gen_obs_every": 2, + "parameter_entries": 3, + "parameter_count": 1, + "update_steps": 1, + "marks": "UNSERIALIZABLE[MarkDecorator(mark=Mark(name='slow', args=(), kwargs={}))]", + "folder": "UNSERIALIZABLE[local('/tmp/pytest-of-f_scout_ci/pytest-15/my_poly_tmp0/da004c364edf79ad773230f0f279e3ad45298b7f/poly')]" + }, + "keyword": "gen_data_with_obs", + "function": "UNSERIALIZABLE[]" + }, + "param": "gen_x: 2000, sum_x: 2000 reals: 100-gen_data_with_obs-get_result", + "extra_info": {}, + "options": { + "disable_gc": true, + "timer": "perf_counter", + "min_rounds": 25, + "max_time": 1.0, + "min_time": 5e-06, + "warmup": 100000 + }, + "stats": { + "min": 0.47026228508912027, + "max": 0.5209516359027475, + "mean": 0.4860572021175176, + "stddev": 0.011895300875291214, + "rounds": 25, + "median": 0.4824407030828297, + "iqr": 0.01486985752126202, + "q1": 0.47804408840602264, + "q3": 0.49291394592728466, + "iqr_outliers": 1, + "stddev_outliers": 6, + "outliers": "6;1", + "ld15iqr": 0.47026228508912027, + "hd15iqr": 0.5209516359027475, + "ops": 2.057371016504808, + "total": 12.15143005293794, + "iterations": 1 + } + }, + { + "group": null, + "name": "test_direct_dark_performance[gen_x: 2000, sum_x: 2000 reals: 100-gen_data_with_obs-get_record_parquet]", + "fullname": "tests/performance_tests/test_dark_storage_performance.py::test_direct_dark_performance[gen_x: 2000, sum_x: 2000 reals: 100-gen_data_with_obs-get_record_parquet]", + "params": { + "template_config": { + "gen_data_count": 2, + "gen_data_entries": 2000, + "summary_data_entries": 2000, + "reals": 100, + "summary_data_count": 2, + "sum_obs_count": 1, + "gen_obs_count": 1, + "sum_obs_every": 2, + "gen_obs_every": 2, + "parameter_entries": 3, + "parameter_count": 1, + "update_steps": 1, + "marks": "UNSERIALIZABLE[MarkDecorator(mark=Mark(name='slow', args=(), kwargs={}))]", + "folder": "UNSERIALIZABLE[local('/tmp/pytest-of-f_scout_ci/pytest-15/my_poly_tmp0/da004c364edf79ad773230f0f279e3ad45298b7f/poly')]" + }, + "keyword": "gen_data_with_obs", + "function": "UNSERIALIZABLE[]" + }, + "param": "gen_x: 2000, sum_x: 2000 reals: 100-gen_data_with_obs-get_record_parquet", + "extra_info": {}, + "options": { + "disable_gc": true, + "timer": "perf_counter", + "min_rounds": 25, + "max_time": 1.0, + "min_time": 5e-06, + "warmup": 100000 + }, + "stats": { + "min": 0.36527705914340913, + "max": 0.43722277297638357, + "mean": 0.38518506051972506, + "stddev": 0.014486408327056307, + "rounds": 25, + "median": 0.38396306801587343, + "iqr": 0.011999506037682295, + "q1": 0.3774639484472573, + "q3": 0.3894634544849396, + "iqr_outliers": 1, + "stddev_outliers": 7, + "outliers": "7;1", + "ld15iqr": 0.36527705914340913, + "hd15iqr": 0.43722277297638357, + "ops": 2.5961546864011633, + "total": 9.629626512993127, + "iterations": 1 + } + }, + { + "group": null, + "name": "test_direct_dark_performance[gen_x: 2000, sum_x: 2000 reals: 100-gen_data_with_obs-get_record_csv]", + "fullname": "tests/performance_tests/test_dark_storage_performance.py::test_direct_dark_performance[gen_x: 2000, sum_x: 2000 reals: 100-gen_data_with_obs-get_record_csv]", + "params": { + "template_config": { + "gen_data_count": 2, + "gen_data_entries": 2000, + "summary_data_entries": 2000, + "reals": 100, + "summary_data_count": 2, + "sum_obs_count": 1, + "gen_obs_count": 1, + "sum_obs_every": 2, + "gen_obs_every": 2, + "parameter_entries": 3, + "parameter_count": 1, + "update_steps": 1, + "marks": "UNSERIALIZABLE[MarkDecorator(mark=Mark(name='slow', args=(), kwargs={}))]", + "folder": "UNSERIALIZABLE[local('/tmp/pytest-of-f_scout_ci/pytest-15/my_poly_tmp0/da004c364edf79ad773230f0f279e3ad45298b7f/poly')]" + }, + "keyword": "gen_data_with_obs", + "function": "UNSERIALIZABLE[]" + }, + "param": "gen_x: 2000, sum_x: 2000 reals: 100-gen_data_with_obs-get_record_csv", + "extra_info": {}, + "options": { + "disable_gc": true, + "timer": "perf_counter", + "min_rounds": 25, + "max_time": 1.0, + "min_time": 5e-06, + "warmup": 100000 + }, + "stats": { + "min": 0.4708028510212898, + "max": 0.4982274710200727, + "mean": 0.4829890991747379, + "stddev": 0.007454714190827155, + "rounds": 25, + "median": 0.48081001499667764, + "iqr": 0.011001091857906431, + "q1": 0.4768017986207269, + "q3": 0.48780289047863334, + "iqr_outliers": 0, + "stddev_outliers": 7, + "outliers": "7;0", + "ld15iqr": 0.4708028510212898, + "hd15iqr": 0.4982274710200727, + "ops": 2.0704401024964243, + "total": 12.074727479368448, + "iterations": 1 + } + }, + { + "group": null, + "name": "test_direct_dark_performance[gen_x: 2000, sum_x: 2000 reals: 100-gen_data_with_obs-get_single_record_parquet]", + "fullname": "tests/performance_tests/test_dark_storage_performance.py::test_direct_dark_performance[gen_x: 2000, sum_x: 2000 reals: 100-gen_data_with_obs-get_single_record_parquet]", + "params": { + "template_config": { + "gen_data_count": 2, + "gen_data_entries": 2000, + "summary_data_entries": 2000, + "reals": 100, + "summary_data_count": 2, + "sum_obs_count": 1, + "gen_obs_count": 1, + "sum_obs_every": 2, + "gen_obs_every": 2, + "parameter_entries": 3, + "parameter_count": 1, + "update_steps": 1, + "marks": "UNSERIALIZABLE[MarkDecorator(mark=Mark(name='slow', args=(), kwargs={}))]", + "folder": "UNSERIALIZABLE[local('/tmp/pytest-of-f_scout_ci/pytest-15/my_poly_tmp0/da004c364edf79ad773230f0f279e3ad45298b7f/poly')]" + }, + "keyword": "gen_data_with_obs", + "function": "UNSERIALIZABLE[]" + }, + "param": "gen_x: 2000, sum_x: 2000 reals: 100-gen_data_with_obs-get_single_record_parquet", + "extra_info": {}, + "options": { + "disable_gc": true, + "timer": "perf_counter", + "min_rounds": 25, + "max_time": 1.0, + "min_time": 5e-06, + "warmup": 100000 + }, + "stats": { + "min": 0.3459064750932157, + "max": 0.3964584991335869, + "mean": 0.37719081534072757, + "stddev": 0.013363429777364497, + "rounds": 25, + "median": 0.38041429012082517, + "iqr": 0.015929492947179824, + "q1": 0.3690650028293021, + "q3": 0.3849944957764819, + "iqr_outliers": 0, + "stddev_outliers": 8, + "outliers": "8;0", + "ld15iqr": 0.3459064750932157, + "hd15iqr": 0.3964584991335869, + "ops": 2.651178022711583, + "total": 9.42977038351819, + "iterations": 1 + } + }, + { + "group": null, + "name": "test_direct_dark_performance[gen_x: 2000, sum_x: 2000 reals: 100-gen_data_with_obs-get_observations]", + "fullname": "tests/performance_tests/test_dark_storage_performance.py::test_direct_dark_performance[gen_x: 2000, sum_x: 2000 reals: 100-gen_data_with_obs-get_observations]", + "params": { + "template_config": { + "gen_data_count": 2, + "gen_data_entries": 2000, + "summary_data_entries": 2000, + "reals": 100, + "summary_data_count": 2, + "sum_obs_count": 1, + "gen_obs_count": 1, + "sum_obs_every": 2, + "gen_obs_every": 2, + "parameter_entries": 3, + "parameter_count": 1, + "update_steps": 1, + "marks": "UNSERIALIZABLE[MarkDecorator(mark=Mark(name='slow', args=(), kwargs={}))]", + "folder": "UNSERIALIZABLE[local('/tmp/pytest-of-f_scout_ci/pytest-15/my_poly_tmp0/da004c364edf79ad773230f0f279e3ad45298b7f/poly')]" + }, + "keyword": "gen_data_with_obs", + "function": "UNSERIALIZABLE[]" + }, + "param": "gen_x: 2000, sum_x: 2000 reals: 100-gen_data_with_obs-get_observations", + "extra_info": {}, + "options": { + "disable_gc": true, + "timer": "perf_counter", + "min_rounds": 25, + "max_time": 1.0, + "min_time": 5e-06, + "warmup": 100000 + }, + "stats": { + "min": 0.007038187934085727, + "max": 0.014245891943573952, + "mean": 0.007873850167674971, + "stddev": 0.001046629921077301, + "rounds": 138, + "median": 0.007630815962329507, + "iqr": 0.0005526610184460878, + "q1": 0.00736144813708961, + "q3": 0.007914109155535698, + "iqr_outliers": 9, + "stddev_outliers": 8, + "outliers": "8;9", + "ld15iqr": 0.007038187934085727, + "hd15iqr": 0.008791934931650758, + "ops": 127.0026707017318, + "total": 1.086591323139146, + "iterations": 1 + } + }, + { + "group": null, + "name": "test_direct_dark_performance[gen_x: 2000, sum_x: 2000 reals: 100-gen_data_with_obs-get_parameters]", + "fullname": "tests/performance_tests/test_dark_storage_performance.py::test_direct_dark_performance[gen_x: 2000, sum_x: 2000 reals: 100-gen_data_with_obs-get_parameters]", + "params": { + "template_config": { + "gen_data_count": 2, + "gen_data_entries": 2000, + "summary_data_entries": 2000, + "reals": 100, + "summary_data_count": 2, + "sum_obs_count": 1, + "gen_obs_count": 1, + "sum_obs_every": 2, + "gen_obs_every": 2, + "parameter_entries": 3, + "parameter_count": 1, + "update_steps": 1, + "marks": "UNSERIALIZABLE[MarkDecorator(mark=Mark(name='slow', args=(), kwargs={}))]", + "folder": "UNSERIALIZABLE[local('/tmp/pytest-of-f_scout_ci/pytest-15/my_poly_tmp0/da004c364edf79ad773230f0f279e3ad45298b7f/poly')]" + }, + "keyword": "gen_data_with_obs", + "function": "UNSERIALIZABLE[]" + }, + "param": "gen_x: 2000, sum_x: 2000 reals: 100-gen_data_with_obs-get_parameters", + "extra_info": {}, + "options": { + "disable_gc": true, + "timer": "perf_counter", + "min_rounds": 25, + "max_time": 1.0, + "min_time": 5e-06, + "warmup": 100000 + }, + "stats": { + "min": 3.2844021916389465e-05, + "max": 0.00022828998044133186, + "mean": 3.663306005901066e-05, + "stddev": 5.060614526260786e-06, + "rounds": 30113, + "median": 3.461400046944618e-05, + "iqr": 2.4408218450844288e-06, + "q1": 3.419211134314537e-05, + "q3": 3.66329331882298e-05, + "iqr_outliers": 4518, + "stddev_outliers": 3501, + "outliers": "3501;4518", + "ld15iqr": 3.2844021916389465e-05, + "hd15iqr": 4.029786214232445e-05, + "ops": 27297.74685459369, + "total": 1.103131337556988, + "iterations": 1 + } + }, + { + "group": null, + "name": "test_direct_dark_performance[gen_x: 2000, sum_x: 2000 reals: 1000-summary-get_result]", + "fullname": "tests/performance_tests/test_dark_storage_performance.py::test_direct_dark_performance[gen_x: 2000, sum_x: 2000 reals: 1000-summary-get_result]", + "params": { + "template_config": { + "gen_data_count": 2, + "gen_data_entries": 2000, + "summary_data_entries": 2000, + "reals": 1000, + "summary_data_count": 2, + "sum_obs_count": 1, + "gen_obs_count": 1, + "sum_obs_every": 2, + "gen_obs_every": 2, + "parameter_entries": 3, + "parameter_count": 1, + "update_steps": 1, + "marks": "UNSERIALIZABLE[MarkDecorator(mark=Mark(name='slow', args=(), kwargs={}))]", + "folder": "UNSERIALIZABLE[local('/tmp/pytest-of-f_scout_ci/pytest-15/my_poly_tmp1/785ac9d282bff59d941ea38705213b2d71dba0cd/poly')]" + }, + "keyword": "summary", + "function": "UNSERIALIZABLE[]" + }, + "param": "gen_x: 2000, sum_x: 2000 reals: 1000-summary-get_result", + "extra_info": {}, + "options": { + "disable_gc": true, + "timer": "perf_counter", + "min_rounds": 25, + "max_time": 1.0, + "min_time": 5e-06, + "warmup": 100000 + }, + "stats": { + "min": 6.566870197886601, + "max": 6.866712032118812, + "mean": 6.679989236555993, + "stddev": 0.07335761758005195, + "rounds": 25, + "median": 6.672897032927722, + "iqr": 0.11426938796648756, + "q1": 6.622727031528484, + "q3": 6.736996419494972, + "iqr_outliers": 0, + "stddev_outliers": 9, + "outliers": "9;0", + "ld15iqr": 6.566870197886601, + "hd15iqr": 6.866712032118812, + "ops": 0.14970084001446246, + "total": 166.99973091389984, + "iterations": 1 + } + }, + { + "group": null, + "name": "test_direct_dark_performance[gen_x: 2000, sum_x: 2000 reals: 1000-summary-get_record_parquet]", + "fullname": "tests/performance_tests/test_dark_storage_performance.py::test_direct_dark_performance[gen_x: 2000, sum_x: 2000 reals: 1000-summary-get_record_parquet]", + "params": { + "template_config": { + "gen_data_count": 2, + "gen_data_entries": 2000, + "summary_data_entries": 2000, + "reals": 1000, + "summary_data_count": 2, + "sum_obs_count": 1, + "gen_obs_count": 1, + "sum_obs_every": 2, + "gen_obs_every": 2, + "parameter_entries": 3, + "parameter_count": 1, + "update_steps": 1, + "marks": "UNSERIALIZABLE[MarkDecorator(mark=Mark(name='slow', args=(), kwargs={}))]", + "folder": "UNSERIALIZABLE[local('/tmp/pytest-of-f_scout_ci/pytest-15/my_poly_tmp1/785ac9d282bff59d941ea38705213b2d71dba0cd/poly')]" + }, + "keyword": "summary", + "function": "UNSERIALIZABLE[]" + }, + "param": "gen_x: 2000, sum_x: 2000 reals: 1000-summary-get_record_parquet", + "extra_info": {}, + "options": { + "disable_gc": true, + "timer": "perf_counter", + "min_rounds": 25, + "max_time": 1.0, + "min_time": 5e-06, + "warmup": 100000 + }, + "stats": { + "min": 3.2596289878711104, + "max": 3.4037079859990627, + "mean": 3.3209672892279922, + "stddev": 0.0353913976781231, + "rounds": 25, + "median": 3.3191903319675475, + "iqr": 0.039039520954247564, + "q1": 3.3038026074063964, + "q3": 3.342842128360644, + "iqr_outliers": 1, + "stddev_outliers": 9, + "outliers": "9;1", + "ld15iqr": 3.2596289878711104, + "hd15iqr": 3.4037079859990627, + "ops": 0.3011170881579098, + "total": 83.02418223069981, + "iterations": 1 + } + }, + { + "group": null, + "name": "test_direct_dark_performance[gen_x: 2000, sum_x: 2000 reals: 1000-summary-get_record_csv]", + "fullname": "tests/performance_tests/test_dark_storage_performance.py::test_direct_dark_performance[gen_x: 2000, sum_x: 2000 reals: 1000-summary-get_record_csv]", + "params": { + "template_config": { + "gen_data_count": 2, + "gen_data_entries": 2000, + "summary_data_entries": 2000, + "reals": 1000, + "summary_data_count": 2, + "sum_obs_count": 1, + "gen_obs_count": 1, + "sum_obs_every": 2, + "gen_obs_every": 2, + "parameter_entries": 3, + "parameter_count": 1, + "update_steps": 1, + "marks": "UNSERIALIZABLE[MarkDecorator(mark=Mark(name='slow', args=(), kwargs={}))]", + "folder": "UNSERIALIZABLE[local('/tmp/pytest-of-f_scout_ci/pytest-15/my_poly_tmp1/785ac9d282bff59d941ea38705213b2d71dba0cd/poly')]" + }, + "keyword": "summary", + "function": "UNSERIALIZABLE[]" + }, + "param": "gen_x: 2000, sum_x: 2000 reals: 1000-summary-get_record_csv", + "extra_info": {}, + "options": { + "disable_gc": true, + "timer": "perf_counter", + "min_rounds": 25, + "max_time": 1.0, + "min_time": 5e-06, + "warmup": 100000 + }, + "stats": { + "min": 6.412749775918201, + "max": 6.717245065839961, + "mean": 6.55557911882177, + "stddev": 0.0809554760964611, + "rounds": 25, + "median": 6.557553925085813, + "iqr": 0.11745995475212112, + "q1": 6.4866351877572015, + "q3": 6.604095142509323, + "iqr_outliers": 0, + "stddev_outliers": 7, + "outliers": "7;0", + "ld15iqr": 6.412749775918201, + "hd15iqr": 6.717245065839961, + "ops": 0.15254182458554927, + "total": 163.88947797054425, + "iterations": 1 + } + }, + { + "group": null, + "name": "test_direct_dark_performance[gen_x: 2000, sum_x: 2000 reals: 1000-summary-get_single_record_parquet]", + "fullname": "tests/performance_tests/test_dark_storage_performance.py::test_direct_dark_performance[gen_x: 2000, sum_x: 2000 reals: 1000-summary-get_single_record_parquet]", + "params": { + "template_config": { + "gen_data_count": 2, + "gen_data_entries": 2000, + "summary_data_entries": 2000, + "reals": 1000, + "summary_data_count": 2, + "sum_obs_count": 1, + "gen_obs_count": 1, + "sum_obs_every": 2, + "gen_obs_every": 2, + "parameter_entries": 3, + "parameter_count": 1, + "update_steps": 1, + "marks": "UNSERIALIZABLE[MarkDecorator(mark=Mark(name='slow', args=(), kwargs={}))]", + "folder": "UNSERIALIZABLE[local('/tmp/pytest-of-f_scout_ci/pytest-15/my_poly_tmp1/785ac9d282bff59d941ea38705213b2d71dba0cd/poly')]" + }, + "keyword": "summary", + "function": "UNSERIALIZABLE[]" + }, + "param": "gen_x: 2000, sum_x: 2000 reals: 1000-summary-get_single_record_parquet", + "extra_info": {}, + "options": { + "disable_gc": true, + "timer": "perf_counter", + "min_rounds": 25, + "max_time": 1.0, + "min_time": 5e-06, + "warmup": 100000 + }, + "stats": { + "min": 0.37508249119855464, + "max": 0.42280604504048824, + "mean": 0.39184002051129935, + "stddev": 0.011075258620451955, + "rounds": 25, + "median": 0.3908152040094137, + "iqr": 0.011328422056976706, + "q1": 0.3842541871126741, + "q3": 0.3955826091696508, + "iqr_outliers": 2, + "stddev_outliers": 7, + "outliers": "7;2", + "ld15iqr": 0.37508249119855464, + "hd15iqr": 0.41379231098107994, + "ops": 2.5520619325589364, + "total": 9.796000512782484, + "iterations": 1 + } + }, + { + "group": null, + "name": "test_direct_dark_performance[gen_x: 2000, sum_x: 2000 reals: 1000-summary-get_observations]", + "fullname": "tests/performance_tests/test_dark_storage_performance.py::test_direct_dark_performance[gen_x: 2000, sum_x: 2000 reals: 1000-summary-get_observations]", + "params": { + "template_config": { + "gen_data_count": 2, + "gen_data_entries": 2000, + "summary_data_entries": 2000, + "reals": 1000, + "summary_data_count": 2, + "sum_obs_count": 1, + "gen_obs_count": 1, + "sum_obs_every": 2, + "gen_obs_every": 2, + "parameter_entries": 3, + "parameter_count": 1, + "update_steps": 1, + "marks": "UNSERIALIZABLE[MarkDecorator(mark=Mark(name='slow', args=(), kwargs={}))]", + "folder": "UNSERIALIZABLE[local('/tmp/pytest-of-f_scout_ci/pytest-15/my_poly_tmp1/785ac9d282bff59d941ea38705213b2d71dba0cd/poly')]" + }, + "keyword": "summary", + "function": "UNSERIALIZABLE[]" + }, + "param": "gen_x: 2000, sum_x: 2000 reals: 1000-summary-get_observations", + "extra_info": {}, + "options": { + "disable_gc": true, + "timer": "perf_counter", + "min_rounds": 25, + "max_time": 1.0, + "min_time": 5e-06, + "warmup": 100000 + }, + "stats": { + "min": 0.0013520941138267517, + "max": 0.0021730540320277214, + "mean": 0.0014398812278773937, + "stddev": 8.388575098634481e-05, + "rounds": 731, + "median": 0.0014214119873940945, + "iqr": 9.011331712827086e-05, + "q1": 0.0013799999142065644, + "q3": 0.0014701132313348353, + "iqr_outliers": 28, + "stddev_outliers": 102, + "outliers": "102;28", + "ld15iqr": 0.0013520941138267517, + "hd15iqr": 0.0016068979166448116, + "ops": 694.5017273918862, + "total": 1.0525531775783747, + "iterations": 1 + } + }, + { + "group": null, + "name": "test_direct_dark_performance[gen_x: 2000, sum_x: 2000 reals: 1000-summary-get_parameters]", + "fullname": "tests/performance_tests/test_dark_storage_performance.py::test_direct_dark_performance[gen_x: 2000, sum_x: 2000 reals: 1000-summary-get_parameters]", + "params": { + "template_config": { + "gen_data_count": 2, + "gen_data_entries": 2000, + "summary_data_entries": 2000, + "reals": 1000, + "summary_data_count": 2, + "sum_obs_count": 1, + "gen_obs_count": 1, + "sum_obs_every": 2, + "gen_obs_every": 2, + "parameter_entries": 3, + "parameter_count": 1, + "update_steps": 1, + "marks": "UNSERIALIZABLE[MarkDecorator(mark=Mark(name='slow', args=(), kwargs={}))]", + "folder": "UNSERIALIZABLE[local('/tmp/pytest-of-f_scout_ci/pytest-15/my_poly_tmp1/785ac9d282bff59d941ea38705213b2d71dba0cd/poly')]" + }, + "keyword": "summary", + "function": "UNSERIALIZABLE[]" + }, + "param": "gen_x: 2000, sum_x: 2000 reals: 1000-summary-get_parameters", + "extra_info": {}, + "options": { + "disable_gc": true, + "timer": "perf_counter", + "min_rounds": 25, + "max_time": 1.0, + "min_time": 5e-06, + "warmup": 100000 + }, + "stats": { + "min": 3.2945070415735245e-05, + "max": 8.933898061513901e-05, + "mean": 3.5996703047588265e-05, + "stddev": 4.8702004412814375e-06, + "rounds": 30061, + "median": 3.442610614001751e-05, + "iqr": 1.00722536444664e-06, + "q1": 3.409502096474171e-05, + "q3": 3.510224632918835e-05, + "iqr_outliers": 4971, + "stddev_outliers": 2832, + "outliers": "2832;4971", + "ld15iqr": 3.2945070415735245e-05, + "hd15iqr": 3.661494702100754e-05, + "ops": 27780.321955540836, + "total": 1.0820968903135508, + "iterations": 1 + } + }, + { + "group": null, + "name": "test_direct_dark_performance[gen_x: 2000, sum_x: 2000 reals: 1000-gen_data-get_result]", + "fullname": "tests/performance_tests/test_dark_storage_performance.py::test_direct_dark_performance[gen_x: 2000, sum_x: 2000 reals: 1000-gen_data-get_result]", + "params": { + "template_config": { + "gen_data_count": 2, + "gen_data_entries": 2000, + "summary_data_entries": 2000, + "reals": 1000, + "summary_data_count": 2, + "sum_obs_count": 1, + "gen_obs_count": 1, + "sum_obs_every": 2, + "gen_obs_every": 2, + "parameter_entries": 3, + "parameter_count": 1, + "update_steps": 1, + "marks": "UNSERIALIZABLE[MarkDecorator(mark=Mark(name='slow', args=(), kwargs={}))]", + "folder": "UNSERIALIZABLE[local('/tmp/pytest-of-f_scout_ci/pytest-15/my_poly_tmp1/785ac9d282bff59d941ea38705213b2d71dba0cd/poly')]" + }, + "keyword": "gen_data", + "function": "UNSERIALIZABLE[]" + }, + "param": "gen_x: 2000, sum_x: 2000 reals: 1000-gen_data-get_result", + "extra_info": {}, + "options": { + "disable_gc": true, + "timer": "perf_counter", + "min_rounds": 25, + "max_time": 1.0, + "min_time": 5e-06, + "warmup": 100000 + }, + "stats": { + "min": 4.195465695811436, + "max": 4.354954998940229, + "mean": 4.274186987886205, + "stddev": 0.040402321233567004, + "rounds": 25, + "median": 4.273708821972832, + "iqr": 0.06205364811467007, + "q1": 4.237485454650596, + "q3": 4.299539102765266, + "iqr_outliers": 0, + "stddev_outliers": 11, + "outliers": "11;0", + "ld15iqr": 4.195465695811436, + "hd15iqr": 4.354954998940229, + "ops": 0.23396262326242984, + "total": 106.85467469715513, + "iterations": 1 + } + }, + { + "group": null, + "name": "test_direct_dark_performance[gen_x: 2000, sum_x: 2000 reals: 1000-gen_data-get_record_parquet]", + "fullname": "tests/performance_tests/test_dark_storage_performance.py::test_direct_dark_performance[gen_x: 2000, sum_x: 2000 reals: 1000-gen_data-get_record_parquet]", + "params": { + "template_config": { + "gen_data_count": 2, + "gen_data_entries": 2000, + "summary_data_entries": 2000, + "reals": 1000, + "summary_data_count": 2, + "sum_obs_count": 1, + "gen_obs_count": 1, + "sum_obs_every": 2, + "gen_obs_every": 2, + "parameter_entries": 3, + "parameter_count": 1, + "update_steps": 1, + "marks": "UNSERIALIZABLE[MarkDecorator(mark=Mark(name='slow', args=(), kwargs={}))]", + "folder": "UNSERIALIZABLE[local('/tmp/pytest-of-f_scout_ci/pytest-15/my_poly_tmp1/785ac9d282bff59d941ea38705213b2d71dba0cd/poly')]" + }, + "keyword": "gen_data", + "function": "UNSERIALIZABLE[]" + }, + "param": "gen_x: 2000, sum_x: 2000 reals: 1000-gen_data-get_record_parquet", + "extra_info": {}, + "options": { + "disable_gc": true, + "timer": "perf_counter", + "min_rounds": 25, + "max_time": 1.0, + "min_time": 5e-06, + "warmup": 100000 + }, + "stats": { + "min": 0.495280466042459, + "max": 0.5254006718751043, + "mean": 0.5140300509147346, + "stddev": 0.008201012576024841, + "rounds": 25, + "median": 0.5152707460802048, + "iqr": 0.010063907073345035, + "q1": 0.5100213039549999, + "q3": 0.5200852110283449, + "iqr_outliers": 0, + "stddev_outliers": 7, + "outliers": "7;0", + "ld15iqr": 0.495280466042459, + "hd15iqr": 0.5254006718751043, + "ops": 1.9454115537028716, + "total": 12.850751272868365, + "iterations": 1 + } + }, + { + "group": null, + "name": "test_direct_dark_performance[gen_x: 2000, sum_x: 2000 reals: 1000-gen_data-get_record_csv]", + "fullname": "tests/performance_tests/test_dark_storage_performance.py::test_direct_dark_performance[gen_x: 2000, sum_x: 2000 reals: 1000-gen_data-get_record_csv]", + "params": { + "template_config": { + "gen_data_count": 2, + "gen_data_entries": 2000, + "summary_data_entries": 2000, + "reals": 1000, + "summary_data_count": 2, + "sum_obs_count": 1, + "gen_obs_count": 1, + "sum_obs_every": 2, + "gen_obs_every": 2, + "parameter_entries": 3, + "parameter_count": 1, + "update_steps": 1, + "marks": "UNSERIALIZABLE[MarkDecorator(mark=Mark(name='slow', args=(), kwargs={}))]", + "folder": "UNSERIALIZABLE[local('/tmp/pytest-of-f_scout_ci/pytest-15/my_poly_tmp1/785ac9d282bff59d941ea38705213b2d71dba0cd/poly')]" + }, + "keyword": "gen_data", + "function": "UNSERIALIZABLE[]" + }, + "param": "gen_x: 2000, sum_x: 2000 reals: 1000-gen_data-get_record_csv", + "extra_info": {}, + "options": { + "disable_gc": true, + "timer": "perf_counter", + "min_rounds": 25, + "max_time": 1.0, + "min_time": 5e-06, + "warmup": 100000 + }, + "stats": { + "min": 4.233605193905532, + "max": 4.559719195123762, + "mean": 4.348136491058394, + "stddev": 0.07516374617756467, + "rounds": 25, + "median": 4.343009476084262, + "iqr": 0.06523636047495529, + "q1": 4.306892988970503, + "q3": 4.3721293494454585, + "iqr_outliers": 2, + "stddev_outliers": 7, + "outliers": "7;2", + "ld15iqr": 4.233605193905532, + "hd15iqr": 4.512436647899449, + "ops": 0.2299835807952263, + "total": 108.70341227645986, + "iterations": 1 + } + }, + { + "group": null, + "name": "test_direct_dark_performance[gen_x: 2000, sum_x: 2000 reals: 1000-gen_data-get_single_record_parquet]", + "fullname": "tests/performance_tests/test_dark_storage_performance.py::test_direct_dark_performance[gen_x: 2000, sum_x: 2000 reals: 1000-gen_data-get_single_record_parquet]", + "params": { + "template_config": { + "gen_data_count": 2, + "gen_data_entries": 2000, + "summary_data_entries": 2000, + "reals": 1000, + "summary_data_count": 2, + "sum_obs_count": 1, + "gen_obs_count": 1, + "sum_obs_every": 2, + "gen_obs_every": 2, + "parameter_entries": 3, + "parameter_count": 1, + "update_steps": 1, + "marks": "UNSERIALIZABLE[MarkDecorator(mark=Mark(name='slow', args=(), kwargs={}))]", + "folder": "UNSERIALIZABLE[local('/tmp/pytest-of-f_scout_ci/pytest-15/my_poly_tmp1/785ac9d282bff59d941ea38705213b2d71dba0cd/poly')]" + }, + "keyword": "gen_data", + "function": "UNSERIALIZABLE[]" + }, + "param": "gen_x: 2000, sum_x: 2000 reals: 1000-gen_data-get_single_record_parquet", + "extra_info": {}, + "options": { + "disable_gc": true, + "timer": "perf_counter", + "min_rounds": 25, + "max_time": 1.0, + "min_time": 5e-06, + "warmup": 100000 + }, + "stats": { + "min": 0.37356972112320364, + "max": 0.456510639982298, + "mean": 0.40023940106853845, + "stddev": 0.02040345811894684, + "rounds": 25, + "median": 0.39598966483026743, + "iqr": 0.013412181113380939, + "q1": 0.38842400279827416, + "q3": 0.4018361839116551, + "iqr_outliers": 3, + "stddev_outliers": 5, + "outliers": "5;3", + "ld15iqr": 0.37356972112320364, + "hd15iqr": 0.43228957895189524, + "ops": 2.498504638299607, + "total": 10.00598502671346, + "iterations": 1 + } + }, + { + "group": null, + "name": "test_direct_dark_performance[gen_x: 2000, sum_x: 2000 reals: 1000-gen_data-get_observations]", + "fullname": "tests/performance_tests/test_dark_storage_performance.py::test_direct_dark_performance[gen_x: 2000, sum_x: 2000 reals: 1000-gen_data-get_observations]", + "params": { + "template_config": { + "gen_data_count": 2, + "gen_data_entries": 2000, + "summary_data_entries": 2000, + "reals": 1000, + "summary_data_count": 2, + "sum_obs_count": 1, + "gen_obs_count": 1, + "sum_obs_every": 2, + "gen_obs_every": 2, + "parameter_entries": 3, + "parameter_count": 1, + "update_steps": 1, + "marks": "UNSERIALIZABLE[MarkDecorator(mark=Mark(name='slow', args=(), kwargs={}))]", + "folder": "UNSERIALIZABLE[local('/tmp/pytest-of-f_scout_ci/pytest-15/my_poly_tmp1/785ac9d282bff59d941ea38705213b2d71dba0cd/poly')]" + }, + "keyword": "gen_data", + "function": "UNSERIALIZABLE[]" + }, + "param": "gen_x: 2000, sum_x: 2000 reals: 1000-gen_data-get_observations", + "extra_info": {}, + "options": { + "disable_gc": true, + "timer": "perf_counter", + "min_rounds": 25, + "max_time": 1.0, + "min_time": 5e-06, + "warmup": 100000 + }, + "stats": { + "min": 0.0004672899376600981, + "max": 0.0013361969031393528, + "mean": 0.0005510485841461918, + "stddev": 0.0001111288577225715, + "rounds": 2147, + "median": 0.0005270929541438818, + "iqr": 7.691344944760203e-05, + "q1": 0.0004925813409499824, + "q3": 0.0005694947903975844, + "iqr_outliers": 89, + "stddev_outliers": 114, + "outliers": "114;89", + "ld15iqr": 0.0004672899376600981, + "hd15iqr": 0.0006861200090497732, + "ops": 1814.722020471978, + "total": 1.1831013101618737, + "iterations": 1 + } + }, + { + "group": null, + "name": "test_direct_dark_performance[gen_x: 2000, sum_x: 2000 reals: 1000-gen_data-get_parameters]", + "fullname": "tests/performance_tests/test_dark_storage_performance.py::test_direct_dark_performance[gen_x: 2000, sum_x: 2000 reals: 1000-gen_data-get_parameters]", + "params": { + "template_config": { + "gen_data_count": 2, + "gen_data_entries": 2000, + "summary_data_entries": 2000, + "reals": 1000, + "summary_data_count": 2, + "sum_obs_count": 1, + "gen_obs_count": 1, + "sum_obs_every": 2, + "gen_obs_every": 2, + "parameter_entries": 3, + "parameter_count": 1, + "update_steps": 1, + "marks": "UNSERIALIZABLE[MarkDecorator(mark=Mark(name='slow', args=(), kwargs={}))]", + "folder": "UNSERIALIZABLE[local('/tmp/pytest-of-f_scout_ci/pytest-15/my_poly_tmp1/785ac9d282bff59d941ea38705213b2d71dba0cd/poly')]" + }, + "keyword": "gen_data", + "function": "UNSERIALIZABLE[]" + }, + "param": "gen_x: 2000, sum_x: 2000 reals: 1000-gen_data-get_parameters", + "extra_info": {}, + "options": { + "disable_gc": true, + "timer": "perf_counter", + "min_rounds": 25, + "max_time": 1.0, + "min_time": 5e-06, + "warmup": 100000 + }, + "stats": { + "min": 3.295182250440121e-05, + "max": 0.00012735719792544842, + "mean": 3.6117444632630966e-05, + "stddev": 4.7795440097021925e-06, + "rounds": 29941, + "median": 3.451691009104252e-05, + "iqr": 9.499490261077881e-07, + "q1": 3.4193042665719986e-05, + "q3": 3.5142991691827774e-05, + "iqr_outliers": 5121, + "stddev_outliers": 3113, + "outliers": "3113;5121", + "ld15iqr": 3.295182250440121e-05, + "hd15iqr": 3.6569079384207726e-05, + "ops": 27687.451594970582, + "total": 1.0813924097456038, + "iterations": 1 + } + }, + { + "group": null, + "name": "test_direct_dark_performance[gen_x: 2000, sum_x: 2000 reals: 1000-summary_with_obs-get_result]", + "fullname": "tests/performance_tests/test_dark_storage_performance.py::test_direct_dark_performance[gen_x: 2000, sum_x: 2000 reals: 1000-summary_with_obs-get_result]", + "params": { + "template_config": { + "gen_data_count": 2, + "gen_data_entries": 2000, + "summary_data_entries": 2000, + "reals": 1000, + "summary_data_count": 2, + "sum_obs_count": 1, + "gen_obs_count": 1, + "sum_obs_every": 2, + "gen_obs_every": 2, + "parameter_entries": 3, + "parameter_count": 1, + "update_steps": 1, + "marks": "UNSERIALIZABLE[MarkDecorator(mark=Mark(name='slow', args=(), kwargs={}))]", + "folder": "UNSERIALIZABLE[local('/tmp/pytest-of-f_scout_ci/pytest-15/my_poly_tmp1/785ac9d282bff59d941ea38705213b2d71dba0cd/poly')]" + }, + "keyword": "summary_with_obs", + "function": "UNSERIALIZABLE[]" + }, + "param": "gen_x: 2000, sum_x: 2000 reals: 1000-summary_with_obs-get_result", + "extra_info": {}, + "options": { + "disable_gc": true, + "timer": "perf_counter", + "min_rounds": 25, + "max_time": 1.0, + "min_time": 5e-06, + "warmup": 100000 + }, + "stats": { + "min": 6.725292420014739, + "max": 7.136636856012046, + "mean": 6.8804855710547415, + "stddev": 0.10969758821287968, + "rounds": 25, + "median": 6.852247606962919, + "iqr": 0.1338844950660132, + "q1": 6.8068928233115, + "q3": 6.940777318377513, + "iqr_outliers": 0, + "stddev_outliers": 6, + "outliers": "6;0", + "ld15iqr": 6.725292420014739, + "hd15iqr": 7.136636856012046, + "ops": 0.14533857962101726, + "total": 172.01213927636854, + "iterations": 1 + } + }, + { + "group": null, + "name": "test_direct_dark_performance[gen_x: 2000, sum_x: 2000 reals: 1000-summary_with_obs-get_record_parquet]", + "fullname": "tests/performance_tests/test_dark_storage_performance.py::test_direct_dark_performance[gen_x: 2000, sum_x: 2000 reals: 1000-summary_with_obs-get_record_parquet]", + "params": { + "template_config": { + "gen_data_count": 2, + "gen_data_entries": 2000, + "summary_data_entries": 2000, + "reals": 1000, + "summary_data_count": 2, + "sum_obs_count": 1, + "gen_obs_count": 1, + "sum_obs_every": 2, + "gen_obs_every": 2, + "parameter_entries": 3, + "parameter_count": 1, + "update_steps": 1, + "marks": "UNSERIALIZABLE[MarkDecorator(mark=Mark(name='slow', args=(), kwargs={}))]", + "folder": "UNSERIALIZABLE[local('/tmp/pytest-of-f_scout_ci/pytest-15/my_poly_tmp1/785ac9d282bff59d941ea38705213b2d71dba0cd/poly')]" + }, + "keyword": "summary_with_obs", + "function": "UNSERIALIZABLE[]" + }, + "param": "gen_x: 2000, sum_x: 2000 reals: 1000-summary_with_obs-get_record_parquet", + "extra_info": {}, + "options": { + "disable_gc": true, + "timer": "perf_counter", + "min_rounds": 25, + "max_time": 1.0, + "min_time": 5e-06, + "warmup": 100000 + }, + "stats": { + "min": 3.5717756650410593, + "max": 3.804259266005829, + "mean": 3.6658325477316978, + "stddev": 0.0667952554373116, + "rounds": 25, + "median": 3.651727489195764, + "iqr": 0.10381989320740104, + "q1": 3.611343417549506, + "q3": 3.715163310756907, + "iqr_outliers": 0, + "stddev_outliers": 9, + "outliers": "9;0", + "ld15iqr": 3.5717756650410593, + "hd15iqr": 3.804259266005829, + "ops": 0.2727893287484636, + "total": 91.64581369329244, + "iterations": 1 + } + }, + { + "group": null, + "name": "test_direct_dark_performance[gen_x: 2000, sum_x: 2000 reals: 1000-summary_with_obs-get_record_csv]", + "fullname": "tests/performance_tests/test_dark_storage_performance.py::test_direct_dark_performance[gen_x: 2000, sum_x: 2000 reals: 1000-summary_with_obs-get_record_csv]", + "params": { + "template_config": { + "gen_data_count": 2, + "gen_data_entries": 2000, + "summary_data_entries": 2000, + "reals": 1000, + "summary_data_count": 2, + "sum_obs_count": 1, + "gen_obs_count": 1, + "sum_obs_every": 2, + "gen_obs_every": 2, + "parameter_entries": 3, + "parameter_count": 1, + "update_steps": 1, + "marks": "UNSERIALIZABLE[MarkDecorator(mark=Mark(name='slow', args=(), kwargs={}))]", + "folder": "UNSERIALIZABLE[local('/tmp/pytest-of-f_scout_ci/pytest-15/my_poly_tmp1/785ac9d282bff59d941ea38705213b2d71dba0cd/poly')]" + }, + "keyword": "summary_with_obs", + "function": "UNSERIALIZABLE[]" + }, + "param": "gen_x: 2000, sum_x: 2000 reals: 1000-summary_with_obs-get_record_csv", + "extra_info": {}, + "options": { + "disable_gc": true, + "timer": "perf_counter", + "min_rounds": 25, + "max_time": 1.0, + "min_time": 5e-06, + "warmup": 100000 + }, + "stats": { + "min": 6.840110471937805, + "max": 7.374415467958897, + "mean": 7.073580933399499, + "stddev": 0.12242161389199856, + "rounds": 25, + "median": 7.0597682350780815, + "iqr": 0.1274538934812881, + "q1": 7.014226710249204, + "q3": 7.141680603730492, + "iqr_outliers": 1, + "stddev_outliers": 7, + "outliers": "7;1", + "ld15iqr": 6.840110471937805, + "hd15iqr": 7.374415467958897, + "ops": 0.1413711116640054, + "total": 176.83952333498746, + "iterations": 1 + } + }, + { + "group": null, + "name": "test_direct_dark_performance[gen_x: 2000, sum_x: 2000 reals: 1000-summary_with_obs-get_single_record_parquet]", + "fullname": "tests/performance_tests/test_dark_storage_performance.py::test_direct_dark_performance[gen_x: 2000, sum_x: 2000 reals: 1000-summary_with_obs-get_single_record_parquet]", + "params": { + "template_config": { + "gen_data_count": 2, + "gen_data_entries": 2000, + "summary_data_entries": 2000, + "reals": 1000, + "summary_data_count": 2, + "sum_obs_count": 1, + "gen_obs_count": 1, + "sum_obs_every": 2, + "gen_obs_every": 2, + "parameter_entries": 3, + "parameter_count": 1, + "update_steps": 1, + "marks": "UNSERIALIZABLE[MarkDecorator(mark=Mark(name='slow', args=(), kwargs={}))]", + "folder": "UNSERIALIZABLE[local('/tmp/pytest-of-f_scout_ci/pytest-15/my_poly_tmp1/785ac9d282bff59d941ea38705213b2d71dba0cd/poly')]" + }, + "keyword": "summary_with_obs", + "function": "UNSERIALIZABLE[]" + }, + "param": "gen_x: 2000, sum_x: 2000 reals: 1000-summary_with_obs-get_single_record_parquet", + "extra_info": {}, + "options": { + "disable_gc": true, + "timer": "perf_counter", + "min_rounds": 25, + "max_time": 1.0, + "min_time": 5e-06, + "warmup": 100000 + }, + "stats": { + "min": 0.4003967570606619, + "max": 0.47516927495598793, + "mean": 0.4275147737748921, + "stddev": 0.016959990354606293, + "rounds": 25, + "median": 0.42570651113055646, + "iqr": 0.021118363772984594, + "q1": 0.41370952944271266, + "q3": 0.43482789321569726, + "iqr_outliers": 1, + "stddev_outliers": 6, + "outliers": "6;1", + "ld15iqr": 0.4003967570606619, + "hd15iqr": 0.47516927495598793, + "ops": 2.339100450658461, + "total": 10.687869344372302, + "iterations": 1 + } + }, + { + "group": null, + "name": "test_direct_dark_performance[gen_x: 2000, sum_x: 2000 reals: 1000-summary_with_obs-get_observations]", + "fullname": "tests/performance_tests/test_dark_storage_performance.py::test_direct_dark_performance[gen_x: 2000, sum_x: 2000 reals: 1000-summary_with_obs-get_observations]", + "params": { + "template_config": { + "gen_data_count": 2, + "gen_data_entries": 2000, + "summary_data_entries": 2000, + "reals": 1000, + "summary_data_count": 2, + "sum_obs_count": 1, + "gen_obs_count": 1, + "sum_obs_every": 2, + "gen_obs_every": 2, + "parameter_entries": 3, + "parameter_count": 1, + "update_steps": 1, + "marks": "UNSERIALIZABLE[MarkDecorator(mark=Mark(name='slow', args=(), kwargs={}))]", + "folder": "UNSERIALIZABLE[local('/tmp/pytest-of-f_scout_ci/pytest-15/my_poly_tmp1/785ac9d282bff59d941ea38705213b2d71dba0cd/poly')]" + }, + "keyword": "summary_with_obs", + "function": "UNSERIALIZABLE[]" + }, + "param": "gen_x: 2000, sum_x: 2000 reals: 1000-summary_with_obs-get_observations", + "extra_info": {}, + "options": { + "disable_gc": true, + "timer": "perf_counter", + "min_rounds": 25, + "max_time": 1.0, + "min_time": 5e-06, + "warmup": 100000 + }, + "stats": { + "min": 0.9753540358506143, + "max": 1.2289841580204666, + "mean": 1.0634844720643013, + "stddev": 0.07076229720080959, + "rounds": 25, + "median": 1.031250392086804, + "iqr": 0.11186323896981776, + "q1": 1.0111611335305497, + "q3": 1.1230243725003675, + "iqr_outliers": 0, + "stddev_outliers": 6, + "outliers": "6;0", + "ld15iqr": 0.9753540358506143, + "hd15iqr": 1.2289841580204666, + "ops": 0.9403052195571099, + "total": 26.587111801607534, + "iterations": 1 + } + }, + { + "group": null, + "name": "test_direct_dark_performance[gen_x: 2000, sum_x: 2000 reals: 1000-summary_with_obs-get_parameters]", + "fullname": "tests/performance_tests/test_dark_storage_performance.py::test_direct_dark_performance[gen_x: 2000, sum_x: 2000 reals: 1000-summary_with_obs-get_parameters]", + "params": { + "template_config": { + "gen_data_count": 2, + "gen_data_entries": 2000, + "summary_data_entries": 2000, + "reals": 1000, + "summary_data_count": 2, + "sum_obs_count": 1, + "gen_obs_count": 1, + "sum_obs_every": 2, + "gen_obs_every": 2, + "parameter_entries": 3, + "parameter_count": 1, + "update_steps": 1, + "marks": "UNSERIALIZABLE[MarkDecorator(mark=Mark(name='slow', args=(), kwargs={}))]", + "folder": "UNSERIALIZABLE[local('/tmp/pytest-of-f_scout_ci/pytest-15/my_poly_tmp1/785ac9d282bff59d941ea38705213b2d71dba0cd/poly')]" + }, + "keyword": "summary_with_obs", + "function": "UNSERIALIZABLE[]" + }, + "param": "gen_x: 2000, sum_x: 2000 reals: 1000-summary_with_obs-get_parameters", + "extra_info": {}, + "options": { + "disable_gc": true, + "timer": "perf_counter", + "min_rounds": 25, + "max_time": 1.0, + "min_time": 5e-06, + "warmup": 100000 + }, + "stats": { + "min": 3.31588089466095e-05, + "max": 0.0002969170454889536, + "mean": 4.1212028648379877e-05, + "stddev": 9.941766713566171e-06, + "rounds": 29764, + "median": 3.850809298455715e-05, + "iqr": 6.107497029006481e-06, + "q1": 3.4779077395796776e-05, + "q3": 4.088657442480326e-05, + "iqr_outliers": 3830, + "stddev_outliers": 3578, + "outliers": "3578;3830", + "ld15iqr": 3.31588089466095e-05, + "hd15iqr": 5.005812272429466e-05, + "ops": 24264.760381780234, + "total": 1.2266348206903785, + "iterations": 1 + } + }, + { + "group": null, + "name": "test_direct_dark_performance[gen_x: 2000, sum_x: 2000 reals: 1000-gen_data_with_obs-get_result]", + "fullname": "tests/performance_tests/test_dark_storage_performance.py::test_direct_dark_performance[gen_x: 2000, sum_x: 2000 reals: 1000-gen_data_with_obs-get_result]", + "params": { + "template_config": { + "gen_data_count": 2, + "gen_data_entries": 2000, + "summary_data_entries": 2000, + "reals": 1000, + "summary_data_count": 2, + "sum_obs_count": 1, + "gen_obs_count": 1, + "sum_obs_every": 2, + "gen_obs_every": 2, + "parameter_entries": 3, + "parameter_count": 1, + "update_steps": 1, + "marks": "UNSERIALIZABLE[MarkDecorator(mark=Mark(name='slow', args=(), kwargs={}))]", + "folder": "UNSERIALIZABLE[local('/tmp/pytest-of-f_scout_ci/pytest-15/my_poly_tmp1/785ac9d282bff59d941ea38705213b2d71dba0cd/poly')]" + }, + "keyword": "gen_data_with_obs", + "function": "UNSERIALIZABLE[]" + }, + "param": "gen_x: 2000, sum_x: 2000 reals: 1000-gen_data_with_obs-get_result", + "extra_info": {}, + "options": { + "disable_gc": true, + "timer": "perf_counter", + "min_rounds": 25, + "max_time": 1.0, + "min_time": 5e-06, + "warmup": 100000 + }, + "stats": { + "min": 4.191296130884439, + "max": 4.680227427976206, + "mean": 4.4416368542611595, + "stddev": 0.10633728065084162, + "rounds": 25, + "median": 4.446886640042067, + "iqr": 0.08658979658503085, + "q1": 4.403571287111845, + "q3": 4.490161083696876, + "iqr_outliers": 3, + "stddev_outliers": 8, + "outliers": "8;3", + "ld15iqr": 4.301140648080036, + "hd15iqr": 4.680227427976206, + "ops": 0.22514222409709903, + "total": 111.040921356529, + "iterations": 1 + } + }, + { + "group": null, + "name": "test_direct_dark_performance[gen_x: 2000, sum_x: 2000 reals: 1000-gen_data_with_obs-get_record_parquet]", + "fullname": "tests/performance_tests/test_dark_storage_performance.py::test_direct_dark_performance[gen_x: 2000, sum_x: 2000 reals: 1000-gen_data_with_obs-get_record_parquet]", + "params": { + "template_config": { + "gen_data_count": 2, + "gen_data_entries": 2000, + "summary_data_entries": 2000, + "reals": 1000, + "summary_data_count": 2, + "sum_obs_count": 1, + "gen_obs_count": 1, + "sum_obs_every": 2, + "gen_obs_every": 2, + "parameter_entries": 3, + "parameter_count": 1, + "update_steps": 1, + "marks": "UNSERIALIZABLE[MarkDecorator(mark=Mark(name='slow', args=(), kwargs={}))]", + "folder": "UNSERIALIZABLE[local('/tmp/pytest-of-f_scout_ci/pytest-15/my_poly_tmp1/785ac9d282bff59d941ea38705213b2d71dba0cd/poly')]" + }, + "keyword": "gen_data_with_obs", + "function": "UNSERIALIZABLE[]" + }, + "param": "gen_x: 2000, sum_x: 2000 reals: 1000-gen_data_with_obs-get_record_parquet", + "extra_info": {}, + "options": { + "disable_gc": true, + "timer": "perf_counter", + "min_rounds": 25, + "max_time": 1.0, + "min_time": 5e-06, + "warmup": 100000 + }, + "stats": { + "min": 0.5011028070002794, + "max": 0.5640825061127543, + "mean": 0.5203944813925773, + "stddev": 0.012766896933510605, + "rounds": 25, + "median": 0.5193100171163678, + "iqr": 0.011683766089845449, + "q1": 0.5132346532773226, + "q3": 0.5249184193671681, + "iqr_outliers": 1, + "stddev_outliers": 7, + "outliers": "7;1", + "ld15iqr": 0.5011028070002794, + "hd15iqr": 0.5640825061127543, + "ops": 1.921619148081657, + "total": 13.009862034814432, + "iterations": 1 + } + }, + { + "group": null, + "name": "test_direct_dark_performance[gen_x: 2000, sum_x: 2000 reals: 1000-gen_data_with_obs-get_record_csv]", + "fullname": "tests/performance_tests/test_dark_storage_performance.py::test_direct_dark_performance[gen_x: 2000, sum_x: 2000 reals: 1000-gen_data_with_obs-get_record_csv]", + "params": { + "template_config": { + "gen_data_count": 2, + "gen_data_entries": 2000, + "summary_data_entries": 2000, + "reals": 1000, + "summary_data_count": 2, + "sum_obs_count": 1, + "gen_obs_count": 1, + "sum_obs_every": 2, + "gen_obs_every": 2, + "parameter_entries": 3, + "parameter_count": 1, + "update_steps": 1, + "marks": "UNSERIALIZABLE[MarkDecorator(mark=Mark(name='slow', args=(), kwargs={}))]", + "folder": "UNSERIALIZABLE[local('/tmp/pytest-of-f_scout_ci/pytest-15/my_poly_tmp1/785ac9d282bff59d941ea38705213b2d71dba0cd/poly')]" + }, + "keyword": "gen_data_with_obs", + "function": "UNSERIALIZABLE[]" + }, + "param": "gen_x: 2000, sum_x: 2000 reals: 1000-gen_data_with_obs-get_record_csv", + "extra_info": {}, + "options": { + "disable_gc": true, + "timer": "perf_counter", + "min_rounds": 25, + "max_time": 1.0, + "min_time": 5e-06, + "warmup": 100000 + }, + "stats": { + "min": 4.20294807292521, + "max": 4.369293241063133, + "mean": 4.284009438091889, + "stddev": 0.04637515138377304, + "rounds": 25, + "median": 4.277946129906923, + "iqr": 0.07691525341942906, + "q1": 4.243641618639231, + "q3": 4.32055687205866, + "iqr_outliers": 0, + "stddev_outliers": 11, + "outliers": "11;0", + "ld15iqr": 4.20294807292521, + "hd15iqr": 4.369293241063133, + "ops": 0.23342618975307466, + "total": 107.10023595229723, + "iterations": 1 + } + }, + { + "group": null, + "name": "test_direct_dark_performance[gen_x: 2000, sum_x: 2000 reals: 1000-gen_data_with_obs-get_single_record_parquet]", + "fullname": "tests/performance_tests/test_dark_storage_performance.py::test_direct_dark_performance[gen_x: 2000, sum_x: 2000 reals: 1000-gen_data_with_obs-get_single_record_parquet]", + "params": { + "template_config": { + "gen_data_count": 2, + "gen_data_entries": 2000, + "summary_data_entries": 2000, + "reals": 1000, + "summary_data_count": 2, + "sum_obs_count": 1, + "gen_obs_count": 1, + "sum_obs_every": 2, + "gen_obs_every": 2, + "parameter_entries": 3, + "parameter_count": 1, + "update_steps": 1, + "marks": "UNSERIALIZABLE[MarkDecorator(mark=Mark(name='slow', args=(), kwargs={}))]", + "folder": "UNSERIALIZABLE[local('/tmp/pytest-of-f_scout_ci/pytest-15/my_poly_tmp1/785ac9d282bff59d941ea38705213b2d71dba0cd/poly')]" + }, + "keyword": "gen_data_with_obs", + "function": "UNSERIALIZABLE[]" + }, + "param": "gen_x: 2000, sum_x: 2000 reals: 1000-gen_data_with_obs-get_single_record_parquet", + "extra_info": {}, + "options": { + "disable_gc": true, + "timer": "perf_counter", + "min_rounds": 25, + "max_time": 1.0, + "min_time": 5e-06, + "warmup": 100000 + }, + "stats": { + "min": 0.3548733559437096, + "max": 0.38623713492415845, + "mean": 0.3690170314908028, + "stddev": 0.008515423191870087, + "rounds": 25, + "median": 0.36837998079136014, + "iqr": 0.010283450712449849, + "q1": 0.3636014171061106, + "q3": 0.37388486781856045, + "iqr_outliers": 0, + "stddev_outliers": 10, + "outliers": "10;0", + "ld15iqr": 0.3548733559437096, + "hd15iqr": 0.38623713492415845, + "ops": 2.7099020225708026, + "total": 9.22542578727007, + "iterations": 1 + } + }, + { + "group": null, + "name": "test_direct_dark_performance[gen_x: 2000, sum_x: 2000 reals: 1000-gen_data_with_obs-get_observations]", + "fullname": "tests/performance_tests/test_dark_storage_performance.py::test_direct_dark_performance[gen_x: 2000, sum_x: 2000 reals: 1000-gen_data_with_obs-get_observations]", + "params": { + "template_config": { + "gen_data_count": 2, + "gen_data_entries": 2000, + "summary_data_entries": 2000, + "reals": 1000, + "summary_data_count": 2, + "sum_obs_count": 1, + "gen_obs_count": 1, + "sum_obs_every": 2, + "gen_obs_every": 2, + "parameter_entries": 3, + "parameter_count": 1, + "update_steps": 1, + "marks": "UNSERIALIZABLE[MarkDecorator(mark=Mark(name='slow', args=(), kwargs={}))]", + "folder": "UNSERIALIZABLE[local('/tmp/pytest-of-f_scout_ci/pytest-15/my_poly_tmp1/785ac9d282bff59d941ea38705213b2d71dba0cd/poly')]" + }, + "keyword": "gen_data_with_obs", + "function": "UNSERIALIZABLE[]" + }, + "param": "gen_x: 2000, sum_x: 2000 reals: 1000-gen_data_with_obs-get_observations", + "extra_info": {}, + "options": { + "disable_gc": true, + "timer": "perf_counter", + "min_rounds": 25, + "max_time": 1.0, + "min_time": 5e-06, + "warmup": 100000 + }, + "stats": { + "min": 0.006978790974244475, + "max": 0.010091261006891727, + "mean": 0.008023082384646966, + "stddev": 0.0006066516420389558, + "rounds": 145, + "median": 0.008015061961486936, + "iqr": 0.0008433398324996233, + "q1": 0.007557653065305203, + "q3": 0.008400992897804826, + "iqr_outliers": 2, + "stddev_outliers": 45, + "outliers": "45;2", + "ld15iqr": 0.006978790974244475, + "hd15iqr": 0.009786027949303389, + "ops": 124.64037536416276, + "total": 1.1633469457738101, + "iterations": 1 + } + }, + { + "group": null, + "name": "test_direct_dark_performance[gen_x: 2000, sum_x: 2000 reals: 1000-gen_data_with_obs-get_parameters]", + "fullname": "tests/performance_tests/test_dark_storage_performance.py::test_direct_dark_performance[gen_x: 2000, sum_x: 2000 reals: 1000-gen_data_with_obs-get_parameters]", + "params": { + "template_config": { + "gen_data_count": 2, + "gen_data_entries": 2000, + "summary_data_entries": 2000, + "reals": 1000, + "summary_data_count": 2, + "sum_obs_count": 1, + "gen_obs_count": 1, + "sum_obs_every": 2, + "gen_obs_every": 2, + "parameter_entries": 3, + "parameter_count": 1, + "update_steps": 1, + "marks": "UNSERIALIZABLE[MarkDecorator(mark=Mark(name='slow', args=(), kwargs={}))]", + "folder": "UNSERIALIZABLE[local('/tmp/pytest-of-f_scout_ci/pytest-15/my_poly_tmp1/785ac9d282bff59d941ea38705213b2d71dba0cd/poly')]" + }, + "keyword": "gen_data_with_obs", + "function": "UNSERIALIZABLE[]" + }, + "param": "gen_x: 2000, sum_x: 2000 reals: 1000-gen_data_with_obs-get_parameters", + "extra_info": {}, + "options": { + "disable_gc": true, + "timer": "perf_counter", + "min_rounds": 25, + "max_time": 1.0, + "min_time": 5e-06, + "warmup": 100000 + }, + "stats": { + "min": 3.3024000003933907e-05, + "max": 0.0002408381551504135, + "mean": 3.6814886691290274e-05, + "stddev": 7.533117578995813e-06, + "rounds": 30246, + "median": 3.4567900002002716e-05, + "iqr": 9.827781468629837e-07, + "q1": 3.4232158213853836e-05, + "q3": 3.521493636071682e-05, + "iqr_outliers": 5158, + "stddev_outliers": 2325, + "outliers": "2325;5158", + "ld15iqr": 3.3024000003933907e-05, + "hd15iqr": 3.669201396405697e-05, + "ops": 27162.92483487615, + "total": 1.1135030628647655, + "iterations": 1 + } + } + ], + "datetime": "2023-10-03T01:19:28.188521", + "version": "4.0.0" +} \ No newline at end of file