diff --git a/.benchmarks/Linux-CPython-3.8-64bit/0003_benchmark-dark-storage-github-actions.json b/.benchmarks/Linux-CPython-3.8-64bit/0003_benchmark-dark-storage-github-actions.json new file mode 100644 index 00000000000..9994a937290 --- /dev/null +++ b/.benchmarks/Linux-CPython-3.8-64bit/0003_benchmark-dark-storage-github-actions.json @@ -0,0 +1,2734 @@ +{ + "machine_info": { + "node": "st-linapp1194.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": "3.8.18", + "python_version": "3.8.18", + "python_build": [ + "default", + "Oct 24 2023 08:42:25" + ], + "release": "3.10.0-1160.105.1.el7.x86_64", + "system": "Linux", + "cpu": { + "python_version": "3.8.18.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": "b89d49d3dc84e49fb03a05e8042d0c9636db9c6f", + "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-0/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": 0.5671309940516949, + "max": 0.829176191939041, + "mean": 0.6418036024551839, + "stddev": 0.06841246964090263, + "rounds": 25, + "median": 0.626808037981391, + "iqr": 0.044337225961498916, + "q1": 0.5984868156956509, + "q3": 0.6428240416571498, + "iqr_outliers": 4, + "stddev_outliers": 5, + "outliers": "5;4", + "ld15iqr": 0.5671309940516949, + "hd15iqr": 0.7526489179581404, + "ops": 1.5581090479619557, + "total": 16.045090061379597, + "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-0/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": 0.5733911041170359, + "max": 0.6537626921199262, + "mean": 0.6055206986796111, + "stddev": 0.022927623927237236, + "rounds": 25, + "median": 0.5966263629961759, + "iqr": 0.031112842727452517, + "q1": 0.5904224717523903, + "q3": 0.6215353144798428, + "iqr_outliers": 0, + "stddev_outliers": 7, + "outliers": "7;0", + "ld15iqr": 0.5733911041170359, + "hd15iqr": 0.6537626921199262, + "ops": 1.6514712084666705, + "total": 15.138017466990277, + "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-0/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": 0.5816050481516868, + "max": 0.6887471179943532, + "mean": 0.6118590665142983, + "stddev": 0.021326521656591865, + "rounds": 25, + "median": 0.6094369050115347, + "iqr": 0.02544600167311728, + "q1": 0.5967395401094109, + "q3": 0.6221855417825282, + "iqr_outliers": 1, + "stddev_outliers": 6, + "outliers": "6;1", + "ld15iqr": 0.5816050481516868, + "hd15iqr": 0.6887471179943532, + "ops": 1.634363294960885, + "total": 15.296476662857458, + "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-0/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": 0.38266814197413623, + "max": 0.4157188320532441, + "mean": 0.397565783392638, + "stddev": 0.009490236440568407, + "rounds": 25, + "median": 0.39865566487424076, + "iqr": 0.013611286878585815, + "q1": 0.39023327064933255, + "q3": 0.40384455752791837, + "iqr_outliers": 0, + "stddev_outliers": 9, + "outliers": "9;0", + "ld15iqr": 0.38266814197413623, + "hd15iqr": 0.4157188320532441, + "ops": 2.5153070052117514, + "total": 9.93914458481595, + "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-0/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": 0.00017224601469933987, + "max": 0.0005101191345602274, + "mean": 0.00018357073724361181, + "stddev": 1.7006735442734137e-05, + "rounds": 5793, + "median": 0.00017711403779685497, + "iqr": 1.2827164027839899e-05, + "q1": 0.00017534499056637287, + "q3": 0.00018817215459421277, + "iqr_outliers": 274, + "stddev_outliers": 430, + "outliers": "430;274", + "ld15iqr": 0.00017224601469933987, + "hd15iqr": 0.000207419041544199, + "ops": 5447.491332308192, + "total": 1.0634252808522433, + "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-0/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": 0.44790579890832305, + "max": 0.5090477659832686, + "mean": 0.4723377431742847, + "stddev": 0.01459059719163551, + "rounds": 25, + "median": 0.47085212799720466, + "iqr": 0.011280314065515995, + "q1": 0.46548335562692955, + "q3": 0.47676366969244555, + "iqr_outliers": 4, + "stddev_outliers": 7, + "outliers": "7;4", + "ld15iqr": 0.45147650106810033, + "hd15iqr": 0.4940422889776528, + "ops": 2.1171291400082266, + "total": 11.808443579357117, + "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-0/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": 0.37798811099492013, + "max": 0.4334156319964677, + "mean": 0.3979743715468794, + "stddev": 0.014255515301149688, + "rounds": 25, + "median": 0.3938834210857749, + "iqr": 0.018839538504835218, + "q1": 0.38705703138839453, + "q3": 0.40589656989322975, + "iqr_outliers": 0, + "stddev_outliers": 7, + "outliers": "7;0", + "ld15iqr": 0.37798811099492013, + "hd15iqr": 0.4334156319964677, + "ops": 2.5127246161935455, + "total": 9.949359288671985, + "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-0/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": 0.4571094401180744, + "max": 0.4985142599325627, + "mean": 0.46938595089130103, + "stddev": 0.009363707643000305, + "rounds": 25, + "median": 0.4670221779961139, + "iqr": 0.011226541886571795, + "q1": 0.46207434439565986, + "q3": 0.47330088628223166, + "iqr_outliers": 1, + "stddev_outliers": 5, + "outliers": "5;1", + "ld15iqr": 0.4571094401180744, + "hd15iqr": 0.4985142599325627, + "ops": 2.1304429715059303, + "total": 11.734648772282526, + "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-0/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": 0.35700805904343724, + "max": 0.43626210489310324, + "mean": 0.3805551968701184, + "stddev": 0.015912247786925276, + "rounds": 25, + "median": 0.3773837462067604, + "iqr": 0.017784436116926372, + "q1": 0.3695996448514052, + "q3": 0.38738408096833155, + "iqr_outliers": 1, + "stddev_outliers": 4, + "outliers": "4;1", + "ld15iqr": 0.35700805904343724, + "hd15iqr": 0.43626210489310324, + "ops": 2.6277397030037015, + "total": 9.51387992175296, + "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-0/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": 0.00017319992184638977, + "max": 0.0005659640301018953, + "mean": 0.00019630072481935417, + "stddev": 3.329188337431665e-05, + "rounds": 5774, + "median": 0.00018402852583676577, + "iqr": 2.1623913198709488e-05, + "q1": 0.00017780414782464504, + "q3": 0.00019942806102335453, + "iqr_outliers": 519, + "stddev_outliers": 547, + "outliers": "547;519", + "ld15iqr": 0.00017319992184638977, + "hd15iqr": 0.00023193913511931896, + "ops": 5094.224694892239, + "total": 1.133440385106951, + "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-0/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": 0.5813678458798677, + "max": 0.6347822181414813, + "mean": 0.6056247582938522, + "stddev": 0.013134547588677872, + "rounds": 25, + "median": 0.6035379809327424, + "iqr": 0.01794500829419121, + "q1": 0.5971038381685503, + "q3": 0.6150488464627415, + "iqr_outliers": 0, + "stddev_outliers": 8, + "outliers": "8;0", + "ld15iqr": 0.5813678458798677, + "hd15iqr": 0.6347822181414813, + "ops": 1.6511874494978869, + "total": 15.140618957346305, + "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-0/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": 0.5722930009942502, + "max": 0.6496023579966277, + "mean": 0.6012368861213326, + "stddev": 0.02089522076175358, + "rounds": 25, + "median": 0.6006450329441577, + "iqr": 0.02928759146016091, + "q1": 0.585998342721723, + "q3": 0.6152859341818839, + "iqr_outliers": 0, + "stddev_outliers": 7, + "outliers": "7;0", + "ld15iqr": 0.5722930009942502, + "hd15iqr": 0.6496023579966277, + "ops": 1.6632379401256412, + "total": 15.030922153033316, + "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-0/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": 0.5800948401447386, + "max": 0.7022969319950789, + "mean": 0.6072963228262961, + "stddev": 0.029555527618170763, + "rounds": 25, + "median": 0.598850873997435, + "iqr": 0.019561918918043375, + "q1": 0.5884081906406209, + "q3": 0.6079701095586643, + "iqr_outliers": 4, + "stddev_outliers": 4, + "outliers": "4;4", + "ld15iqr": 0.5800948401447386, + "hd15iqr": 0.6446008428465575, + "ops": 1.6466426066044668, + "total": 15.182408070657402, + "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-0/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": 0.3726508840918541, + "max": 0.4404767560772598, + "mean": 0.3986488410457969, + "stddev": 0.015084709321331288, + "rounds": 25, + "median": 0.3943060920573771, + "iqr": 0.01570163812721148, + "q1": 0.3893692885758355, + "q3": 0.405070926703047, + "iqr_outliers": 1, + "stddev_outliers": 6, + "outliers": "6;1", + "ld15iqr": 0.3726508840918541, + "hd15iqr": 0.4404767560772598, + "ops": 2.508473365623355, + "total": 9.966221026144922, + "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-0/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": 0.00017451588064432144, + "max": 0.00039434502832591534, + "mean": 0.00019145894167743596, + "stddev": 2.319894525442092e-05, + "rounds": 5740, + "median": 0.00018244341481477022, + "iqr": 1.5430268831551075e-05, + "q1": 0.0001785983331501484, + "q3": 0.00019402860198169947, + "iqr_outliers": 525, + "stddev_outliers": 572, + "outliers": "572;525", + "ld15iqr": 0.00017451588064432144, + "hd15iqr": 0.00021719816140830517, + "ops": 5223.051956929589, + "total": 1.0989743252284825, + "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-0/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": 0.4468769959639758, + "max": 0.49960566498339176, + "mean": 0.4667875296063721, + "stddev": 0.0128315713508047, + "rounds": 25, + "median": 0.46560564497485757, + "iqr": 0.01602488593198359, + "q1": 0.45758893503807485, + "q3": 0.47361382097005844, + "iqr_outliers": 1, + "stddev_outliers": 6, + "outliers": "6;1", + "ld15iqr": 0.4468769959639758, + "hd15iqr": 0.49960566498339176, + "ops": 2.1423023036696587, + "total": 11.669688240159303, + "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-0/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": 0.3709518010728061, + "max": 0.5062855500727892, + "mean": 0.40991819771938026, + "stddev": 0.028187572632298857, + "rounds": 25, + "median": 0.4046121679712087, + "iqr": 0.025505647994577885, + "q1": 0.3942572175292298, + "q3": 0.4197628655238077, + "iqr_outliers": 2, + "stddev_outliers": 4, + "outliers": "4;2", + "ld15iqr": 0.3709518010728061, + "hd15iqr": 0.46220962214283645, + "ops": 2.4395111160314356, + "total": 10.247954942984506, + "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-0/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": 0.45066295797005296, + "max": 0.4846043798606843, + "mean": 0.46308621495962143, + "stddev": 0.008466072828932253, + "rounds": 25, + "median": 0.4621711128856987, + "iqr": 0.009581316320691258, + "q1": 0.4566291487426497, + "q3": 0.46621046506334096, + "iqr_outliers": 1, + "stddev_outliers": 7, + "outliers": "7;1", + "ld15iqr": 0.45066295797005296, + "hd15iqr": 0.4846043798606843, + "ops": 2.159425108534476, + "total": 11.577155373990536, + "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-0/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": 0.364043191075325, + "max": 0.488041277974844, + "mean": 0.3945614648330957, + "stddev": 0.026614013066040006, + "rounds": 25, + "median": 0.3904765339102596, + "iqr": 0.025639458210207522, + "q1": 0.378959373338148, + "q3": 0.4045988315483555, + "iqr_outliers": 2, + "stddev_outliers": 4, + "outliers": "4;2", + "ld15iqr": 0.364043191075325, + "hd15iqr": 0.44481201213784516, + "ops": 2.534459365977395, + "total": 9.864036620827392, + "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-0/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": 0.00017262296751141548, + "max": 0.0004490520805120468, + "mean": 0.00019071649800151072, + "stddev": 3.0428204658915656e-05, + "rounds": 5800, + "median": 0.0001805265201255679, + "iqr": 1.4706049114465714e-05, + "q1": 0.0001769715454429388, + "q3": 0.00019167759455740452, + "iqr_outliers": 496, + "stddev_outliers": 407, + "outliers": "407;496", + "ld15iqr": 0.00017262296751141548, + "hd15iqr": 0.00021380791440606117, + "ops": 5243.384869577873, + "total": 1.1061556884087622, + "iterations": 1 + } + }, + { + "group": null, + "name": "test_direct_dark_performance_with_libres_facade[gen_x: 2000, sum_x: 2000 reals: 100-summary-get_observations]", + "fullname": "tests/performance_tests/test_dark_storage_performance.py::test_direct_dark_performance_with_libres_facade[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-0/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": 0.0012717531062662601, + "max": 0.0020618990529328585, + "mean": 0.0013325902548810046, + "stddev": 7.891663284534473e-05, + "rounds": 793, + "median": 0.0013051789719611406, + "iqr": 6.298505468294024e-05, + "q1": 0.0012870374484919012, + "q3": 0.0013500225031748414, + "iqr_outliers": 55, + "stddev_outliers": 81, + "outliers": "81;55", + "ld15iqr": 0.0012717531062662601, + "hd15iqr": 0.0014457500074058771, + "ops": 750.4182147041862, + "total": 1.0567440721206367, + "iterations": 1 + } + }, + { + "group": null, + "name": "test_direct_dark_performance_with_libres_facade[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_with_libres_facade[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-0/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": 0.0004537990316748619, + "max": 0.0009625088423490524, + "mean": 0.000504164346424153, + "stddev": 9.660963924024523e-05, + "rounds": 2207, + "median": 0.00047438894398510456, + "iqr": 2.126907929778099e-05, + "q1": 0.0004682518192566931, + "q3": 0.0004895208985544741, + "iqr_outliers": 286, + "stddev_outliers": 139, + "outliers": "139;286", + "ld15iqr": 0.0004537990316748619, + "hd15iqr": 0.0005214721895754337, + "ops": 1983.4802026216685, + "total": 1.1126907125581056, + "iterations": 1 + } + }, + { + "group": null, + "name": "test_direct_dark_performance_with_libres_facade[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_with_libres_facade[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-0/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": 0.0731569251511246, + "max": 0.08001699089072645, + "mean": 0.07598724086768925, + "stddev": 0.002305174713122733, + "rounds": 25, + "median": 0.07594018802046776, + "iqr": 0.004470557090826333, + "q1": 0.07352985430043191, + "q3": 0.07800041139125824, + "iqr_outliers": 0, + "stddev_outliers": 12, + "outliers": "12;0", + "ld15iqr": 0.0731569251511246, + "hd15iqr": 0.08001699089072645, + "ops": 13.160104098808157, + "total": 1.8996810216922313, + "iterations": 1 + } + }, + { + "group": null, + "name": "test_direct_dark_performance_with_libres_facade[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_with_libres_facade[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-0/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": 0.0024679400958120823, + "max": 0.004651505034416914, + "mean": 0.0025762522312357244, + "stddev": 0.00019058996016629002, + "rounds": 403, + "median": 0.0025332379154860973, + "iqr": 6.712740287184715e-05, + "q1": 0.0025119216879829764, + "q3": 0.0025790490908548236, + "iqr_outliers": 32, + "stddev_outliers": 18, + "outliers": "18;32", + "ld15iqr": 0.0024679400958120823, + "hd15iqr": 0.00268096593208611, + "ops": 388.1607506732135, + "total": 1.038229649187997, + "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-0/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": 5.3366719300393015, + "max": 5.764268962200731, + "mean": 5.538236938677728, + "stddev": 0.10617825442549846, + "rounds": 25, + "median": 5.528061666991562, + "iqr": 0.1091987857944332, + "q1": 5.468514692678582, + "q3": 5.577713478473015, + "iqr_outliers": 2, + "stddev_outliers": 8, + "outliers": "8;2", + "ld15iqr": 5.3366719300393015, + "hd15iqr": 5.762025827076286, + "ops": 0.1805628778747688, + "total": 138.4559234669432, + "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-0/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": 2.6820371819194406, + "max": 2.8541319300420582, + "mean": 2.7491906760446727, + "stddev": 0.04631488888640678, + "rounds": 25, + "median": 2.7486836488824338, + "iqr": 0.06991777900839224, + "q1": 2.7165854892809875, + "q3": 2.7865032682893798, + "iqr_outliers": 0, + "stddev_outliers": 11, + "outliers": "11;0", + "ld15iqr": 2.6820371819194406, + "hd15iqr": 2.8541319300420582, + "ops": 0.36374341318468467, + "total": 68.72976690111682, + "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-0/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": 5.521157311974093, + "max": 5.829170411918312, + "mean": 5.66171454500407, + "stddev": 0.08503253742601834, + "rounds": 25, + "median": 5.672142127063125, + "iqr": 0.13873954873997718, + "q1": 5.588281746720895, + "q3": 5.727021295460872, + "iqr_outliers": 0, + "stddev_outliers": 10, + "outliers": "10;0", + "ld15iqr": 5.521157311974093, + "hd15iqr": 5.829170411918312, + "ops": 0.1766249414468283, + "total": 141.54286362510175, + "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-0/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": 0.4002514819148928, + "max": 0.4651268860325217, + "mean": 0.42261381261982023, + "stddev": 0.01682871737725612, + "rounds": 25, + "median": 0.4176568991970271, + "iqr": 0.015719507238827646, + "q1": 0.4122449200367555, + "q3": 0.42796442727558315, + "iqr_outliers": 2, + "stddev_outliers": 7, + "outliers": "7;2", + "ld15iqr": 0.4002514819148928, + "hd15iqr": 0.45810351986438036, + "ops": 2.366226493641824, + "total": 10.565345315495506, + "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-0/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": 0.00017003295943140984, + "max": 0.00034284312278032303, + "mean": 0.00018120779764564673, + "stddev": 1.4481017514612708e-05, + "rounds": 5938, + "median": 0.00017552252393215895, + "iqr": 1.3145850971341133e-05, + "q1": 0.00017329305410385132, + "q3": 0.00018643890507519245, + "iqr_outliers": 270, + "stddev_outliers": 454, + "outliers": "454;270", + "ld15iqr": 0.00017003295943140984, + "hd15iqr": 0.00020642601884901524, + "ops": 5518.526316155047, + "total": 1.0760119024198502, + "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-0/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": 3.897571580018848, + "max": 4.091231917962432, + "mean": 3.9873981662932785, + "stddev": 0.051890616034183074, + "rounds": 25, + "median": 3.9876972809433937, + "iqr": 0.08033816702663898, + "q1": 3.9478644242626615, + "q3": 4.0282025912893005, + "iqr_outliers": 0, + "stddev_outliers": 9, + "outliers": "9;0", + "ld15iqr": 3.897571580018848, + "hd15iqr": 4.091231917962432, + "ops": 0.2507901037958316, + "total": 99.68495415733196, + "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-0/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": 0.49630740215070546, + "max": 0.6010826420970261, + "mean": 0.5271482475567609, + "stddev": 0.023532036646418394, + "rounds": 25, + "median": 0.5225511200260371, + "iqr": 0.01525142858736217, + "q1": 0.5144580766791478, + "q3": 0.52970950526651, + "iqr_outliers": 3, + "stddev_outliers": 5, + "outliers": "5;3", + "ld15iqr": 0.49630740215070546, + "hd15iqr": 0.5679711608681828, + "ops": 1.8969995720081088, + "total": 13.178706188919023, + "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-0/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": 3.8565501449629664, + "max": 4.058088192017749, + "mean": 3.9531643616966905, + "stddev": 0.058174709629310754, + "rounds": 25, + "median": 3.957635262981057, + "iqr": 0.09307025850284845, + "q1": 3.9006081678671762, + "q3": 3.9936784263700247, + "iqr_outliers": 0, + "stddev_outliers": 8, + "outliers": "8;0", + "ld15iqr": 3.8565501449629664, + "hd15iqr": 4.058088192017749, + "ops": 0.2529619081081673, + "total": 98.82910904241726, + "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-0/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": 0.35887522296980023, + "max": 0.3987114909105003, + "mean": 0.3788209478929639, + "stddev": 0.009389956518709577, + "rounds": 25, + "median": 0.38020768109709024, + "iqr": 0.013788025127723813, + "q1": 0.3701579586486332, + "q3": 0.383945983776357, + "iqr_outliers": 0, + "stddev_outliers": 10, + "outliers": "10;0", + "ld15iqr": 0.35887522296980023, + "hd15iqr": 0.3987114909105003, + "ops": 2.6397695416847715, + "total": 9.470523697324097, + "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-0/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": 0.00017101294361054897, + "max": 0.0004917969927191734, + "mean": 0.00018975747587247186, + "stddev": 2.7596547291844864e-05, + "rounds": 5848, + "median": 0.0001798375742509961, + "iqr": 1.6785459592938423e-05, + "q1": 0.00017572299111634493, + "q3": 0.00019250845070928335, + "iqr_outliers": 489, + "stddev_outliers": 498, + "outliers": "498;489", + "ld15iqr": 0.00017101294361054897, + "hd15iqr": 0.0002177709247916937, + "ops": 5269.8846008684195, + "total": 1.1097017189022154, + "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-0/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": 5.906120973173529, + "max": 6.273182115983218, + "mean": 6.1095594146195795, + "stddev": 0.08671697790532881, + "rounds": 25, + "median": 6.116002288879827, + "iqr": 0.08632769522955641, + "q1": 6.069677162449807, + "q3": 6.156004857679363, + "iqr_outliers": 1, + "stddev_outliers": 9, + "outliers": "9;1", + "ld15iqr": 5.950586421880871, + "hd15iqr": 6.273182115983218, + "ops": 0.1636779237480034, + "total": 152.7389853654895, + "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-0/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": 3.2965472240466624, + "max": 3.926388716092333, + "mean": 3.4314860295131804, + "stddev": 0.12187052928359408, + "rounds": 25, + "median": 3.420848051086068, + "iqr": 0.07085587829351425, + "q1": 3.3741795060341246, + "q3": 3.445035384327639, + "iqr_outliers": 2, + "stddev_outliers": 3, + "outliers": "3;2", + "ld15iqr": 3.2965472240466624, + "hd15iqr": 3.572269223863259, + "ops": 0.29141893377950556, + "total": 85.7871507378295, + "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-0/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": 6.21546851284802, + "max": 6.5461715860292315, + "mean": 6.4114570333343, + "stddev": 0.0840147599864678, + "rounds": 25, + "median": 6.391126353992149, + "iqr": 0.1207886757911183, + "q1": 6.360864662623499, + "q3": 6.481653338414617, + "iqr_outliers": 0, + "stddev_outliers": 9, + "outliers": "9;0", + "ld15iqr": 6.21546851284802, + "hd15iqr": 6.5461715860292315, + "ops": 0.1559707871082693, + "total": 160.2864258333575, + "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-0/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": 0.3914448539726436, + "max": 0.4720654159318656, + "mean": 0.4254842685908079, + "stddev": 0.017597769120838675, + "rounds": 25, + "median": 0.4243191098794341, + "iqr": 0.021365406457334757, + "q1": 0.41356181242736056, + "q3": 0.4349272188846953, + "iqr_outliers": 1, + "stddev_outliers": 7, + "outliers": "7;1", + "ld15iqr": 0.3914448539726436, + "hd15iqr": 0.4720654159318656, + "ops": 2.3502631561725473, + "total": 10.637106714770198, + "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-0/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": 0.000170969869941473, + "max": 0.0004147780127823353, + "mean": 0.00018190297659554148, + "stddev": 1.466438208519373e-05, + "rounds": 5785, + "median": 0.00017691496759653091, + "iqr": 1.1851137969642878e-05, + "q1": 0.00017439067596569657, + "q3": 0.00018624181393533945, + "iqr_outliers": 249, + "stddev_outliers": 361, + "outliers": "361;249", + "ld15iqr": 0.000170969869941473, + "hd15iqr": 0.00020411494188010693, + "ops": 5497.436153689145, + "total": 1.0523087196052074, + "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-0/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": 4.001535491086543, + "max": 4.236787231871858, + "mean": 4.093750275429338, + "stddev": 0.05593785884518012, + "rounds": 25, + "median": 4.099920751992613, + "iqr": 0.08172432950232178, + "q1": 4.05490191426361, + "q3": 4.136626243765932, + "iqr_outliers": 0, + "stddev_outliers": 7, + "outliers": "7;0", + "ld15iqr": 4.001535491086543, + "hd15iqr": 4.236787231871858, + "ops": 0.2442747927253876, + "total": 102.34375688573346, + "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-0/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": 0.5257967677898705, + "max": 0.6247196760959923, + "mean": 0.5478020210005343, + "stddev": 0.022245270513722885, + "rounds": 25, + "median": 0.5433716299012303, + "iqr": 0.016769653011579067, + "q1": 0.5353525913087651, + "q3": 0.5521222443203442, + "iqr_outliers": 2, + "stddev_outliers": 2, + "outliers": "2;2", + "ld15iqr": 0.5257967677898705, + "hd15iqr": 0.6054822239093482, + "ops": 1.8254770184555866, + "total": 13.695050525013357, + "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-0/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": 4.094067438039929, + "max": 4.852458644891158, + "mean": 4.224086847584695, + "stddev": 0.15640220510178657, + "rounds": 25, + "median": 4.174279742874205, + "iqr": 0.12668804614804685, + "q1": 4.136111129308119, + "q3": 4.262799175456166, + "iqr_outliers": 1, + "stddev_outliers": 2, + "outliers": "2;1", + "ld15iqr": 4.094067438039929, + "hd15iqr": 4.852458644891158, + "ops": 0.2367375567980553, + "total": 105.60217118961737, + "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-0/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": 0.3717631360050291, + "max": 0.4445538220461458, + "mean": 0.4113634206727147, + "stddev": 0.017158448583997378, + "rounds": 25, + "median": 0.41040874691680074, + "iqr": 0.015384847298264503, + "q1": 0.4057196286157705, + "q3": 0.421104475914035, + "iqr_outliers": 3, + "stddev_outliers": 7, + "outliers": "7;3", + "ld15iqr": 0.3937067319639027, + "hd15iqr": 0.4445538220461458, + "ops": 2.4309405011380707, + "total": 10.284085516817868, + "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-0/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": 0.00017138500697910786, + "max": 0.0004343490581959486, + "mean": 0.00019156404177753661, + "stddev": 3.209753337930296e-05, + "rounds": 5789, + "median": 0.00017793499864637852, + "iqr": 1.8886756151914597e-05, + "q1": 0.00017518759705126286, + "q3": 0.00019407435320317745, + "iqr_outliers": 576, + "stddev_outliers": 557, + "outliers": "557;576", + "ld15iqr": 0.00017138500697910786, + "hd15iqr": 0.00022240611724555492, + "ops": 5220.186370682763, + "total": 1.1089642378501594, + "iterations": 1 + } + }, + { + "group": null, + "name": "test_direct_dark_performance_with_libres_facade[gen_x: 2000, sum_x: 2000 reals: 1000-summary-get_observations]", + "fullname": "tests/performance_tests/test_dark_storage_performance.py::test_direct_dark_performance_with_libres_facade[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-0/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": 0.0012698620557785034, + "max": 0.003048533108085394, + "mean": 0.0013994697052680462, + "stddev": 0.00018912665345369994, + "rounds": 794, + "median": 0.0013452749699354172, + "iqr": 0.00010694400407373905, + "q1": 0.0012986680958420038, + "q3": 0.0014056120999157429, + "iqr_outliers": 74, + "stddev_outliers": 68, + "outliers": "68;74", + "ld15iqr": 0.0012698620557785034, + "hd15iqr": 0.0015696841292083263, + "ops": 714.5563753439492, + "total": 1.1111789459828287, + "iterations": 1 + } + }, + { + "group": null, + "name": "test_direct_dark_performance_with_libres_facade[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_with_libres_facade[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-0/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": 0.0004764460027217865, + "max": 0.0014332039281725883, + "mean": 0.0005288060371543265, + "stddev": 7.273516578730194e-05, + "rounds": 2118, + "median": 0.0005119874840602279, + "iqr": 4.8252055421471596e-05, + "q1": 0.0004937599878758192, + "q3": 0.0005420120432972908, + "iqr_outliers": 88, + "stddev_outliers": 124, + "outliers": "124;88", + "ld15iqr": 0.0004764460027217865, + "hd15iqr": 0.0006152738351374865, + "ops": 1891.0525405143217, + "total": 1.1200111866928637, + "iterations": 1 + } + }, + { + "group": null, + "name": "test_direct_dark_performance_with_libres_facade[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_with_libres_facade[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-0/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": 0.08433409803546965, + "max": 0.09222246380522847, + "mean": 0.08853189528919757, + "stddev": 0.002215304148438063, + "rounds": 25, + "median": 0.08840084192343056, + "iqr": 0.0037597959744744003, + "q1": 0.0866035670042038, + "q3": 0.0903633629786782, + "iqr_outliers": 0, + "stddev_outliers": 8, + "outliers": "8;0", + "ld15iqr": 0.08433409803546965, + "hd15iqr": 0.09222246380522847, + "ops": 11.295364193135233, + "total": 2.213297382229939, + "iterations": 1 + } + }, + { + "group": null, + "name": "test_direct_dark_performance_with_libres_facade[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_with_libres_facade[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-0/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": 0.00250589894130826, + "max": 0.006153295049443841, + "mean": 0.003012620277256888, + "stddev": 0.000575665310761903, + "rounds": 401, + "median": 0.002848505973815918, + "iqr": 0.00041796325240284204, + "q1": 0.0026855175965465605, + "q3": 0.0031034808489494026, + "iqr_outliers": 28, + "stddev_outliers": 37, + "outliers": "37;28", + "ld15iqr": 0.00250589894130826, + "hd15iqr": 0.0037657921202480793, + "ops": 331.9369545339913, + "total": 1.2080607311800122, + "iterations": 1 + } + } + ], + "datetime": "2024-01-03T16:17:01.025208", + "version": "4.0.0" +} \ No newline at end of file