Last active
January 30, 2017 11:42
-
-
Save rciorba/d8990a54be8b778bb3322ac40364de90 to your computer and use it in GitHub Desktop.
borg_fix_skip_hint
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
{ | |
"version": "3.0.0", | |
"commit_info": { | |
"dirty": false, | |
"id": "94c32d525509f0809034bc3e5238ce9ebdf331f8" | |
}, | |
"machine_info": { | |
"processor": "", | |
"python_compiler": "GCC 4.9.1", | |
"node": "zed", | |
"system": "Linux", | |
"release": "4.4.38-v7+", | |
"python_version": "3.4.2", | |
"python_implementation": "CPython", | |
"machine": "armv7l" | |
}, | |
"datetime": "2017-01-28T22:55:32.571603", | |
"benchmarks": [ | |
{ | |
"group": null, | |
"stats": { | |
"stddev": 8.850777806406553e-05, | |
"iqr": 5.906214937567711e-05, | |
"mean": 0.08321623150259257, | |
"rounds": 10, | |
"q3": 0.08323958609253168, | |
"q1": 0.083180523943156, | |
"outliers": "4;2", | |
"min": 0.08309880504384637, | |
"hd15iqr": 0.08333765808492899, | |
"max": 0.083390261977911, | |
"stddev_outliers": 4, | |
"median": 0.08319903840310872, | |
"iqr_outliers": 2, | |
"iterations": 1, | |
"ld15iqr": 0.08309880504384637 | |
}, | |
"fullname": "src/borg/testsuite/benchmark.py::test_chunk_indexer_c_getitem[0.3]", | |
"name": "test_chunk_indexer_c_getitem[0.3]", | |
"options": { | |
"min_rounds": 5, | |
"warmup": false, | |
"min_time": 5e-06, | |
"disable_gc": false, | |
"timer": "perf_counter", | |
"max_time": 1.0 | |
} | |
}, | |
{ | |
"group": null, | |
"stats": { | |
"stddev": 0.000129781891153637, | |
"iqr": 0.00013317540287971497, | |
"mean": 0.20538752968423069, | |
"rounds": 10, | |
"q3": 0.20543397683650255, | |
"q1": 0.20530080143362284, | |
"outliers": "3;1", | |
"min": 0.20521757192909718, | |
"hd15iqr": 0.20565694523975253, | |
"max": 0.20565694523975253, | |
"stddev_outliers": 3, | |
"median": 0.20534996688365936, | |
"iqr_outliers": 1, | |
"iterations": 1, | |
"ld15iqr": 0.20521757192909718 | |
}, | |
"fullname": "src/borg/testsuite/benchmark.py::test_chunk_indexer_c_getitem[0.5]", | |
"name": "test_chunk_indexer_c_getitem[0.5]", | |
"options": { | |
"min_rounds": 5, | |
"warmup": false, | |
"min_time": 5e-06, | |
"disable_gc": false, | |
"timer": "perf_counter", | |
"max_time": 1.0 | |
} | |
}, | |
{ | |
"group": null, | |
"stats": { | |
"stddev": 0.00021511950592972007, | |
"iqr": 0.00015052082017064095, | |
"mean": 0.25842386395670475, | |
"rounds": 10, | |
"q3": 0.2584409527480602, | |
"q1": 0.2582904319278896, | |
"outliers": "1;1", | |
"min": 0.2582483487203717, | |
"hd15iqr": 0.25899631390348077, | |
"max": 0.25899631390348077, | |
"stddev_outliers": 1, | |
"median": 0.2583951195701957, | |
"iqr_outliers": 1, | |
"iterations": 1, | |
"ld15iqr": 0.2582483487203717 | |
}, | |
"fullname": "src/borg/testsuite/benchmark.py::test_chunk_indexer_c_getitem[0.75]", | |
"name": "test_chunk_indexer_c_getitem[0.75]", | |
"options": { | |
"min_rounds": 5, | |
"warmup": false, | |
"min_time": 5e-06, | |
"disable_gc": false, | |
"timer": "perf_counter", | |
"max_time": 1.0 | |
} | |
}, | |
{ | |
"group": null, | |
"stats": { | |
"stddev": 0.00012933253686734609, | |
"iqr": 8.614640682935715e-05, | |
"mean": 0.35544228097423913, | |
"rounds": 10, | |
"q3": 0.3554710941389203, | |
"q1": 0.35538494773209095, | |
"outliers": "2;2", | |
"min": 0.3552502612583339, | |
"hd15iqr": 0.3557284879498184, | |
"max": 0.3557284879498184, | |
"stddev_outliers": 2, | |
"median": 0.355425130110234, | |
"iqr_outliers": 2, | |
"iterations": 1, | |
"ld15iqr": 0.35533338505774736 | |
}, | |
"fullname": "src/borg/testsuite/benchmark.py::test_chunk_indexer_c_getitem[0.85]", | |
"name": "test_chunk_indexer_c_getitem[0.85]", | |
"options": { | |
"min_rounds": 5, | |
"warmup": false, | |
"min_time": 5e-06, | |
"disable_gc": false, | |
"timer": "perf_counter", | |
"max_time": 1.0 | |
} | |
}, | |
{ | |
"group": null, | |
"stats": { | |
"stddev": 0.00012762131838908025, | |
"iqr": 0.00021286308765411377, | |
"mean": 0.5687176648527383, | |
"rounds": 10, | |
"q3": 0.5688351327553391, | |
"q1": 0.568622269667685, | |
"outliers": "2;0", | |
"min": 0.5685056559741497, | |
"hd15iqr": 0.5689373202621937, | |
"max": 0.5689373202621937, | |
"stddev_outliers": 2, | |
"median": 0.5687091962900013, | |
"iqr_outliers": 0, | |
"iterations": 1, | |
"ld15iqr": 0.5685056559741497 | |
}, | |
"fullname": "src/borg/testsuite/benchmark.py::test_chunk_indexer_c_getitem[0.93]", | |
"name": "test_chunk_indexer_c_getitem[0.93]", | |
"options": { | |
"min_rounds": 5, | |
"warmup": false, | |
"min_time": 5e-06, | |
"disable_gc": false, | |
"timer": "perf_counter", | |
"max_time": 1.0 | |
} | |
}, | |
{ | |
"group": null, | |
"stats": { | |
"stddev": 0.00014826624367395025, | |
"iqr": 0.00016229087486863136, | |
"mean": 0.7178863463457674, | |
"rounds": 10, | |
"q3": 0.7179509499110281, | |
"q1": 0.7177886590361595, | |
"outliers": "4;0", | |
"min": 0.7177012641914189, | |
"hd15iqr": 0.7181320949457586, | |
"max": 0.7181320949457586, | |
"stddev_outliers": 4, | |
"median": 0.7178852995857596, | |
"iqr_outliers": 0, | |
"iterations": 1, | |
"ld15iqr": 0.7177012641914189 | |
}, | |
"fullname": "src/borg/testsuite/benchmark.py::test_chunk_indexer_c_getitem[0.95]", | |
"name": "test_chunk_indexer_c_getitem[0.95]", | |
"options": { | |
"min_rounds": 5, | |
"warmup": false, | |
"min_time": 5e-06, | |
"disable_gc": false, | |
"timer": "perf_counter", | |
"max_time": 1.0 | |
} | |
}, | |
{ | |
"group": null, | |
"stats": { | |
"stddev": 8.347746657450642e-05, | |
"iqr": 0.00010171718895435333, | |
"mean": 0.11346133486367763, | |
"rounds": 10, | |
"q3": 0.11349875619634986, | |
"q1": 0.1133970390073955, | |
"outliers": "4;0", | |
"min": 0.11333438195288181, | |
"hd15iqr": 0.11360807903110981, | |
"max": 0.11360807903110981, | |
"stddev_outliers": 4, | |
"median": 0.1134620641823858, | |
"iqr_outliers": 0, | |
"iterations": 1, | |
"ld15iqr": 0.11333438195288181 | |
}, | |
"fullname": "src/borg/testsuite/benchmark.py::test_chunk_indexer_c_getitem_with_misses[0.3]", | |
"name": "test_chunk_indexer_c_getitem_with_misses[0.3]", | |
"options": { | |
"min_rounds": 5, | |
"warmup": false, | |
"min_time": 5e-06, | |
"disable_gc": false, | |
"timer": "perf_counter", | |
"max_time": 1.0 | |
} | |
}, | |
{ | |
"group": null, | |
"stats": { | |
"stddev": 0.00011346520649637206, | |
"iqr": 0.00018911436200141907, | |
"mean": 0.4292320504318923, | |
"rounds": 10, | |
"q3": 0.4293250972405076, | |
"q1": 0.4291359828785062, | |
"outliers": "2;0", | |
"min": 0.4291056697256863, | |
"hd15iqr": 0.42944941902533174, | |
"max": 0.42944941902533174, | |
"stddev_outliers": 2, | |
"median": 0.42922158166766167, | |
"iqr_outliers": 0, | |
"iterations": 1, | |
"ld15iqr": 0.4291056697256863 | |
}, | |
"fullname": "src/borg/testsuite/benchmark.py::test_chunk_indexer_c_getitem_with_misses[0.5]", | |
"name": "test_chunk_indexer_c_getitem_with_misses[0.5]", | |
"options": { | |
"min_rounds": 5, | |
"warmup": false, | |
"min_time": 5e-06, | |
"disable_gc": false, | |
"timer": "perf_counter", | |
"max_time": 1.0 | |
} | |
}, | |
{ | |
"group": null, | |
"stats": { | |
"stddev": 0.00017268749211179688, | |
"iqr": 0.00014124903827905655, | |
"mean": 0.41931076552718877, | |
"rounds": 10, | |
"q3": 0.4193411353044212, | |
"q1": 0.41919988626614213, | |
"outliers": "3;2", | |
"min": 0.4190963450819254, | |
"hd15iqr": 0.4195610820315778, | |
"max": 0.4196529043838382, | |
"stddev_outliers": 3, | |
"median": 0.4192783229518682, | |
"iqr_outliers": 2, | |
"iterations": 1, | |
"ld15iqr": 0.4190963450819254 | |
}, | |
"fullname": "src/borg/testsuite/benchmark.py::test_chunk_indexer_c_getitem_with_misses[0.75]", | |
"name": "test_chunk_indexer_c_getitem_with_misses[0.75]", | |
"options": { | |
"min_rounds": 5, | |
"warmup": false, | |
"min_time": 5e-06, | |
"disable_gc": false, | |
"timer": "perf_counter", | |
"max_time": 1.0 | |
} | |
}, | |
{ | |
"group": null, | |
"stats": { | |
"stddev": 0.00011668613835887452, | |
"iqr": 6.718747317790985e-05, | |
"mean": 0.7393171599134802, | |
"rounds": 10, | |
"q3": 0.7393367220647633, | |
"q1": 0.7392695345915854, | |
"outliers": "2;2", | |
"min": 0.7391585456207395, | |
"hd15iqr": 0.7396112009882927, | |
"max": 0.7396112009882927, | |
"stddev_outliers": 2, | |
"median": 0.7392943790182471, | |
"iqr_outliers": 2, | |
"iterations": 1, | |
"ld15iqr": 0.7392433891072869 | |
}, | |
"fullname": "src/borg/testsuite/benchmark.py::test_chunk_indexer_c_getitem_with_misses[0.85]", | |
"name": "test_chunk_indexer_c_getitem_with_misses[0.85]", | |
"options": { | |
"min_rounds": 5, | |
"warmup": false, | |
"min_time": 5e-06, | |
"disable_gc": false, | |
"timer": "perf_counter", | |
"max_time": 1.0 | |
} | |
}, | |
{ | |
"group": null, | |
"stats": { | |
"stddev": 0.00030223772351287294, | |
"iqr": 0.00037509994581341743, | |
"mean": 2.255129258148372, | |
"rounds": 10, | |
"q3": 2.2553205960430205, | |
"q1": 2.254945496097207, | |
"outliers": "3;0", | |
"min": 2.2546956008300185, | |
"hd15iqr": 2.2556661129929125, | |
"max": 2.2556661129929125, | |
"stddev_outliers": 3, | |
"median": 2.255062471376732, | |
"iqr_outliers": 0, | |
"iterations": 1, | |
"ld15iqr": 2.2546956008300185 | |
}, | |
"fullname": "src/borg/testsuite/benchmark.py::test_chunk_indexer_c_getitem_with_misses[0.93]", | |
"name": "test_chunk_indexer_c_getitem_with_misses[0.93]", | |
"options": { | |
"min_rounds": 5, | |
"warmup": false, | |
"min_time": 5e-06, | |
"disable_gc": false, | |
"timer": "perf_counter", | |
"max_time": 1.0 | |
} | |
}, | |
{ | |
"group": null, | |
"stats": { | |
"stddev": 0.0002142197381592292, | |
"iqr": 0.0003530210815370083, | |
"mean": 3.924212711211294, | |
"rounds": 10, | |
"q3": 3.924397998023778, | |
"q1": 3.924044976942241, | |
"outliers": "3;0", | |
"min": 3.9238902521319687, | |
"hd15iqr": 3.9245506678707898, | |
"max": 3.9245506678707898, | |
"stddev_outliers": 3, | |
"median": 3.9241935031022877, | |
"iqr_outliers": 0, | |
"iterations": 1, | |
"ld15iqr": 3.9238902521319687 | |
}, | |
"fullname": "src/borg/testsuite/benchmark.py::test_chunk_indexer_c_getitem_with_misses[0.95]", | |
"name": "test_chunk_indexer_c_getitem_with_misses[0.95]", | |
"options": { | |
"min_rounds": 5, | |
"warmup": false, | |
"min_time": 5e-06, | |
"disable_gc": false, | |
"timer": "perf_counter", | |
"max_time": 1.0 | |
} | |
}, | |
{ | |
"group": null, | |
"stats": { | |
"stddev": 7.485682122321683e-05, | |
"iqr": 6.958236917853355e-05, | |
"mean": 0.10472396984696389, | |
"rounds": 10, | |
"q3": 0.10476207872852683, | |
"q1": 0.1046924963593483, | |
"outliers": "4;0", | |
"min": 0.10461848601698875, | |
"hd15iqr": 0.1048519741743803, | |
"max": 0.1048519741743803, | |
"stddev_outliers": 4, | |
"median": 0.10470582917332649, | |
"iqr_outliers": 0, | |
"iterations": 1, | |
"ld15iqr": 0.10461848601698875 | |
}, | |
"fullname": "src/borg/testsuite/benchmark.py::test_chunk_indexer_c_setitem_update[0.3]", | |
"name": "test_chunk_indexer_c_setitem_update[0.3]", | |
"options": { | |
"min_rounds": 5, | |
"warmup": false, | |
"min_time": 5e-06, | |
"disable_gc": false, | |
"timer": "perf_counter", | |
"max_time": 1.0 | |
} | |
}, | |
{ | |
"group": null, | |
"stats": { | |
"stddev": 8.685781774208768e-05, | |
"iqr": 0.00012369733303785324, | |
"mean": 0.23981112092733384, | |
"rounds": 10, | |
"q3": 0.23986364156007767, | |
"q1": 0.23973994422703981, | |
"outliers": "2;0", | |
"min": 0.23967254906892776, | |
"hd15iqr": 0.2399820266291499, | |
"max": 0.2399820266291499, | |
"stddev_outliers": 2, | |
"median": 0.23981259996071458, | |
"iqr_outliers": 0, | |
"iterations": 1, | |
"ld15iqr": 0.23967254906892776 | |
}, | |
"fullname": "src/borg/testsuite/benchmark.py::test_chunk_indexer_c_setitem_update[0.5]", | |
"name": "test_chunk_indexer_c_setitem_update[0.5]", | |
"options": { | |
"min_rounds": 5, | |
"warmup": false, | |
"min_time": 5e-06, | |
"disable_gc": false, | |
"timer": "perf_counter", | |
"max_time": 1.0 | |
} | |
}, | |
{ | |
"group": null, | |
"stats": { | |
"stddev": 9.799014137193402e-05, | |
"iqr": 0.00011765724048018456, | |
"mean": 0.31147301602177324, | |
"rounds": 10, | |
"q3": 0.31151812616735697, | |
"q1": 0.3114004689268768, | |
"outliers": "3;0", | |
"min": 0.3113549486733973, | |
"hd15iqr": 0.31168031226843596, | |
"max": 0.31168031226843596, | |
"stddev_outliers": 3, | |
"median": 0.31146828178316355, | |
"iqr_outliers": 0, | |
"iterations": 1, | |
"ld15iqr": 0.3113549486733973 | |
}, | |
"fullname": "src/borg/testsuite/benchmark.py::test_chunk_indexer_c_setitem_update[0.75]", | |
"name": "test_chunk_indexer_c_setitem_update[0.75]", | |
"options": { | |
"min_rounds": 5, | |
"warmup": false, | |
"min_time": 5e-06, | |
"disable_gc": false, | |
"timer": "perf_counter", | |
"max_time": 1.0 | |
} | |
}, | |
{ | |
"group": null, | |
"stats": { | |
"stddev": 0.00016535984314925426, | |
"iqr": 0.00011848937720060349, | |
"mean": 0.41439683772623537, | |
"rounds": 10, | |
"q3": 0.41442036908119917, | |
"q1": 0.41430187970399857, | |
"outliers": "1;1", | |
"min": 0.4142351089976728, | |
"hd15iqr": 0.4148271903395653, | |
"max": 0.4148271903395653, | |
"stddev_outliers": 1, | |
"median": 0.41438463935628533, | |
"iqr_outliers": 1, | |
"iterations": 1, | |
"ld15iqr": 0.4142351089976728 | |
}, | |
"fullname": "src/borg/testsuite/benchmark.py::test_chunk_indexer_c_setitem_update[0.85]", | |
"name": "test_chunk_indexer_c_setitem_update[0.85]", | |
"options": { | |
"min_rounds": 5, | |
"warmup": false, | |
"min_time": 5e-06, | |
"disable_gc": false, | |
"timer": "perf_counter", | |
"max_time": 1.0 | |
} | |
}, | |
{ | |
"group": null, | |
"stats": { | |
"stddev": 0.00014176131226135212, | |
"iqr": 0.00010724039748311043, | |
"mean": 0.6294021633453667, | |
"rounds": 10, | |
"q3": 0.629418820142746, | |
"q1": 0.6293115797452629, | |
"outliers": "1;1", | |
"min": 0.6292759561911225, | |
"hd15iqr": 0.6297734011895955, | |
"max": 0.6297734011895955, | |
"stddev_outliers": 1, | |
"median": 0.6293785332236439, | |
"iqr_outliers": 1, | |
"iterations": 1, | |
"ld15iqr": 0.6292759561911225 | |
}, | |
"fullname": "src/borg/testsuite/benchmark.py::test_chunk_indexer_c_setitem_update[0.93]", | |
"name": "test_chunk_indexer_c_setitem_update[0.93]", | |
"options": { | |
"min_rounds": 5, | |
"warmup": false, | |
"min_time": 5e-06, | |
"disable_gc": false, | |
"timer": "perf_counter", | |
"max_time": 1.0 | |
} | |
}, | |
{ | |
"group": null, | |
"stats": { | |
"stddev": 0.00022039135919873807, | |
"iqr": 5.031190812587738e-05, | |
"mean": 0.7767964211292565, | |
"rounds": 10, | |
"q3": 0.7767859417945147, | |
"q1": 0.7767356298863888, | |
"outliers": "2;3", | |
"min": 0.7765343282371759, | |
"hd15iqr": 0.7773804180324078, | |
"max": 0.7773804180324078, | |
"stddev_outliers": 2, | |
"median": 0.7767648487351835, | |
"iqr_outliers": 3, | |
"iterations": 1, | |
"ld15iqr": 0.7767356298863888 | |
}, | |
"fullname": "src/borg/testsuite/benchmark.py::test_chunk_indexer_c_setitem_update[0.95]", | |
"name": "test_chunk_indexer_c_setitem_update[0.95]", | |
"options": { | |
"min_rounds": 5, | |
"warmup": false, | |
"min_time": 5e-06, | |
"disable_gc": false, | |
"timer": "perf_counter", | |
"max_time": 1.0 | |
} | |
}, | |
{ | |
"group": null, | |
"stats": { | |
"stddev": 9.433217782861794e-05, | |
"iqr": 7.291650399565697e-05, | |
"mean": 0.12200230336748064, | |
"rounds": 10, | |
"q3": 0.12201907439157367, | |
"q1": 0.12194615788757801, | |
"outliers": "4;1", | |
"min": 0.12186105409637094, | |
"hd15iqr": 0.12218568800017238, | |
"max": 0.12218568800017238, | |
"stddev_outliers": 4, | |
"median": 0.12199972523376346, | |
"iqr_outliers": 1, | |
"iterations": 1, | |
"ld15iqr": 0.12186105409637094 | |
}, | |
"fullname": "src/borg/testsuite/benchmark.py::test_chunk_indexer_c_setitem[0.3]", | |
"name": "test_chunk_indexer_c_setitem[0.3]", | |
"options": { | |
"min_rounds": 5, | |
"warmup": false, | |
"min_time": 5e-06, | |
"disable_gc": false, | |
"timer": "perf_counter", | |
"max_time": 1.0 | |
} | |
}, | |
{ | |
"group": null, | |
"stats": { | |
"stddev": 0.00011032682548678413, | |
"iqr": 0.00017510401085019112, | |
"mean": 0.2701422827783972, | |
"rounds": 10, | |
"q3": 0.27023515198379755, | |
"q1": 0.27006004797294736, | |
"outliers": "4;0", | |
"min": 0.270012600813061, | |
"hd15iqr": 0.2703372873365879, | |
"max": 0.2703372873365879, | |
"stddev_outliers": 4, | |
"median": 0.2701152830850333, | |
"iqr_outliers": 0, | |
"iterations": 1, | |
"ld15iqr": 0.270012600813061 | |
}, | |
"fullname": "src/borg/testsuite/benchmark.py::test_chunk_indexer_c_setitem[0.5]", | |
"name": "test_chunk_indexer_c_setitem[0.5]", | |
"options": { | |
"min_rounds": 5, | |
"warmup": false, | |
"min_time": 5e-06, | |
"disable_gc": false, | |
"timer": "perf_counter", | |
"max_time": 1.0 | |
} | |
}, | |
{ | |
"group": null, | |
"stats": { | |
"stddev": 0.0001611467361812936, | |
"iqr": 0.0002559348940849304, | |
"mean": 0.35648715957067906, | |
"rounds": 10, | |
"q3": 0.356576070189476, | |
"q1": 0.3563201352953911, | |
"outliers": "5;0", | |
"min": 0.3562660198658705, | |
"hd15iqr": 0.3567201839759946, | |
"max": 0.3567201839759946, | |
"stddev_outliers": 5, | |
"median": 0.35649711242876947, | |
"iqr_outliers": 0, | |
"iterations": 1, | |
"ld15iqr": 0.3562660198658705 | |
}, | |
"fullname": "src/borg/testsuite/benchmark.py::test_chunk_indexer_c_setitem[0.75]", | |
"name": "test_chunk_indexer_c_setitem[0.75]", | |
"options": { | |
"min_rounds": 5, | |
"warmup": false, | |
"min_time": 5e-06, | |
"disable_gc": false, | |
"timer": "perf_counter", | |
"max_time": 1.0 | |
} | |
}, | |
{ | |
"group": null, | |
"stats": { | |
"stddev": 0.00019826776861677967, | |
"iqr": 0.0003941650502383709, | |
"mean": 0.46593519547022877, | |
"rounds": 10, | |
"q3": 0.4661372359842062, | |
"q1": 0.46574307093396783, | |
"outliers": "4;0", | |
"min": 0.46572572784498334, | |
"hd15iqr": 0.46627421490848064, | |
"max": 0.46627421490848064, | |
"stddev_outliers": 4, | |
"median": 0.4658754924312234, | |
"iqr_outliers": 0, | |
"iterations": 1, | |
"ld15iqr": 0.46572572784498334 | |
}, | |
"fullname": "src/borg/testsuite/benchmark.py::test_chunk_indexer_c_setitem[0.85]", | |
"name": "test_chunk_indexer_c_setitem[0.85]", | |
"options": { | |
"min_rounds": 5, | |
"warmup": false, | |
"min_time": 5e-06, | |
"disable_gc": false, | |
"timer": "perf_counter", | |
"max_time": 1.0 | |
} | |
}, | |
{ | |
"group": null, | |
"stats": { | |
"stddev": 0.0002054902089186114, | |
"iqr": 0.0002556741237640381, | |
"mean": 0.6861458174418658, | |
"rounds": 10, | |
"q3": 0.6862690919078887, | |
"q1": 0.6860134177841246, | |
"outliers": "3;0", | |
"min": 0.6857688874006271, | |
"hd15iqr": 0.6864655497483909, | |
"max": 0.6864655497483909, | |
"stddev_outliers": 3, | |
"median": 0.6861387542448938, | |
"iqr_outliers": 0, | |
"iterations": 1, | |
"ld15iqr": 0.6857688874006271 | |
}, | |
"fullname": "src/borg/testsuite/benchmark.py::test_chunk_indexer_c_setitem[0.93]", | |
"name": "test_chunk_indexer_c_setitem[0.93]", | |
"options": { | |
"min_rounds": 5, | |
"warmup": false, | |
"min_time": 5e-06, | |
"disable_gc": false, | |
"timer": "perf_counter", | |
"max_time": 1.0 | |
} | |
}, | |
{ | |
"group": null, | |
"stats": { | |
"stddev": 0.0002251809415404778, | |
"iqr": 0.0001355721615254879, | |
"mean": 0.8350854265037924, | |
"rounds": 10, | |
"q3": 0.8351664110086858, | |
"q1": 0.8350308388471603, | |
"outliers": "2;2", | |
"min": 0.8345651100389659, | |
"hd15iqr": 0.8354466161690652, | |
"max": 0.8354466161690652, | |
"stddev_outliers": 2, | |
"median": 0.8351274009328336, | |
"iqr_outliers": 2, | |
"iterations": 1, | |
"ld15iqr": 0.8349287561140954 | |
}, | |
"fullname": "src/borg/testsuite/benchmark.py::test_chunk_indexer_c_setitem[0.95]", | |
"name": "test_chunk_indexer_c_setitem[0.95]", | |
"options": { | |
"min_rounds": 5, | |
"warmup": false, | |
"min_time": 5e-06, | |
"disable_gc": false, | |
"timer": "perf_counter", | |
"max_time": 1.0 | |
} | |
}, | |
{ | |
"group": null, | |
"stats": { | |
"stddev": 4.541873137661618e-05, | |
"iqr": 8.989451453089714e-05, | |
"mean": 0.01759630674496293, | |
"rounds": 10, | |
"q3": 0.01763084763661027, | |
"q1": 0.017540953122079372, | |
"outliers": "4;0", | |
"min": 0.01753548439592123, | |
"hd15iqr": 0.017665639985352755, | |
"max": 0.017665639985352755, | |
"stddev_outliers": 4, | |
"median": 0.01760551007464528, | |
"iqr_outliers": 0, | |
"iterations": 1, | |
"ld15iqr": 0.01753548439592123 | |
}, | |
"fullname": "src/borg/testsuite/benchmark.py::test_chunk_indexer_c_delete[0.3]", | |
"name": "test_chunk_indexer_c_delete[0.3]", | |
"options": { | |
"min_rounds": 5, | |
"warmup": false, | |
"min_time": 5e-06, | |
"disable_gc": false, | |
"timer": "perf_counter", | |
"max_time": 1.0 | |
} | |
}, | |
{ | |
"group": null, | |
"stats": { | |
"stddev": 2.9750770268291148e-05, | |
"iqr": 2.5052111595869064e-05, | |
"mean": 0.029186498327180743, | |
"rounds": 10, | |
"q3": 0.029197196010500193, | |
"q1": 0.029172143898904324, | |
"outliers": "4;1", | |
"min": 0.029150374233722687, | |
"hd15iqr": 0.029248445760458708, | |
"max": 0.029248445760458708, | |
"stddev_outliers": 4, | |
"median": 0.029182195896282792, | |
"iqr_outliers": 1, | |
"iterations": 1, | |
"ld15iqr": 0.029150374233722687 | |
}, | |
"fullname": "src/borg/testsuite/benchmark.py::test_chunk_indexer_c_delete[0.5]", | |
"name": "test_chunk_indexer_c_delete[0.5]", | |
"options": { | |
"min_rounds": 5, | |
"warmup": false, | |
"min_time": 5e-06, | |
"disable_gc": false, | |
"timer": "perf_counter", | |
"max_time": 1.0 | |
} | |
}, | |
{ | |
"group": null, | |
"stats": { | |
"stddev": 4.375303550624435e-05, | |
"iqr": 5.2708666771650314e-05, | |
"mean": 0.04450751971453428, | |
"rounds": 10, | |
"q3": 0.04453243175521493, | |
"q1": 0.04447972308844328, | |
"outliers": "3;0", | |
"min": 0.04444206692278385, | |
"hd15iqr": 0.04458680609241128, | |
"max": 0.04458680609241128, | |
"stddev_outliers": 3, | |
"median": 0.044497456634417176, | |
"iqr_outliers": 0, | |
"iterations": 1, | |
"ld15iqr": 0.04444206692278385 | |
}, | |
"fullname": "src/borg/testsuite/benchmark.py::test_chunk_indexer_c_delete[0.75]", | |
"name": "test_chunk_indexer_c_delete[0.75]", | |
"options": { | |
"min_rounds": 5, | |
"warmup": false, | |
"min_time": 5e-06, | |
"disable_gc": false, | |
"timer": "perf_counter", | |
"max_time": 1.0 | |
} | |
}, | |
{ | |
"group": null, | |
"stats": { | |
"stddev": 4.87785318471763e-05, | |
"iqr": 6.677024066448212e-05, | |
"mean": 0.05040170303545892, | |
"rounds": 10, | |
"q3": 0.05043891118839383, | |
"q1": 0.05037214094772935, | |
"outliers": "2;0", | |
"min": 0.0503071928396821, | |
"hd15iqr": 0.05047713965177536, | |
"max": 0.05047713965177536, | |
"stddev_outliers": 2, | |
"median": 0.05040250509046018, | |
"iqr_outliers": 0, | |
"iterations": 1, | |
"ld15iqr": 0.0503071928396821 | |
}, | |
"fullname": "src/borg/testsuite/benchmark.py::test_chunk_indexer_c_delete[0.85]", | |
"name": "test_chunk_indexer_c_delete[0.85]", | |
"options": { | |
"min_rounds": 5, | |
"warmup": false, | |
"min_time": 5e-06, | |
"disable_gc": false, | |
"timer": "perf_counter", | |
"max_time": 1.0 | |
} | |
}, | |
{ | |
"group": null, | |
"stats": { | |
"stddev": 7.485955291762784e-05, | |
"iqr": 0.00010744761675596237, | |
"mean": 0.055123247066512705, | |
"rounds": 10, | |
"q3": 0.05517123080790043, | |
"q1": 0.055063783191144466, | |
"outliers": "2;0", | |
"min": 0.05502498196437955, | |
"hd15iqr": 0.055278366431593895, | |
"max": 0.055278366431593895, | |
"stddev_outliers": 2, | |
"median": 0.05510646617040038, | |
"iqr_outliers": 0, | |
"iterations": 1, | |
"ld15iqr": 0.05502498196437955 | |
}, | |
"fullname": "src/borg/testsuite/benchmark.py::test_chunk_indexer_c_delete[0.93]", | |
"name": "test_chunk_indexer_c_delete[0.93]", | |
"options": { | |
"min_rounds": 5, | |
"warmup": false, | |
"min_time": 5e-06, | |
"disable_gc": false, | |
"timer": "perf_counter", | |
"max_time": 1.0 | |
} | |
}, | |
{ | |
"group": null, | |
"stats": { | |
"stddev": 7.53719115143793e-05, | |
"iqr": 7.609464228153229e-05, | |
"mean": 0.0562845166772604, | |
"rounds": 10, | |
"q3": 0.05632096529006958, | |
"q1": 0.05624487064778805, | |
"outliers": "3;1", | |
"min": 0.05617283983156085, | |
"hd15iqr": 0.0564387240447104, | |
"max": 0.0564387240447104, | |
"stddev_outliers": 3, | |
"median": 0.05628109443932772, | |
"iqr_outliers": 1, | |
"iterations": 1, | |
"ld15iqr": 0.05617283983156085 | |
}, | |
"fullname": "src/borg/testsuite/benchmark.py::test_chunk_indexer_c_delete[0.95]", | |
"name": "test_chunk_indexer_c_delete[0.95]", | |
"options": { | |
"min_rounds": 5, | |
"warmup": false, | |
"min_time": 5e-06, | |
"disable_gc": false, | |
"timer": "perf_counter", | |
"max_time": 1.0 | |
} | |
}, | |
{ | |
"group": null, | |
"stats": { | |
"stddev": 6.682990857088624e-05, | |
"iqr": 8.874991908669472e-05, | |
"mean": 0.09422220969572663, | |
"rounds": 10, | |
"q3": 0.09425233490765095, | |
"q1": 0.09416358498856425, | |
"outliers": "1;0", | |
"min": 0.09415618889033794, | |
"hd15iqr": 0.09437832282856107, | |
"max": 0.09437832282856107, | |
"stddev_outliers": 1, | |
"median": 0.09421504312194884, | |
"iqr_outliers": 0, | |
"iterations": 1, | |
"ld15iqr": 0.09415618889033794 | |
}, | |
"fullname": "src/borg/testsuite/benchmark.py::test_chunk_indexer_c_setitem_after_deletion[0.3]", | |
"name": "test_chunk_indexer_c_setitem_after_deletion[0.3]", | |
"options": { | |
"min_rounds": 5, | |
"warmup": false, | |
"min_time": 5e-06, | |
"disable_gc": false, | |
"timer": "perf_counter", | |
"max_time": 1.0 | |
} | |
}, | |
{ | |
"group": null, | |
"stats": { | |
"stddev": 8.671576939312091e-05, | |
"iqr": 0.0001205718144774437, | |
"mean": 0.17713450179435314, | |
"rounds": 10, | |
"q3": 0.17719269404187799, | |
"q1": 0.17707212222740054, | |
"outliers": "3;0", | |
"min": 0.1769954040646553, | |
"hd15iqr": 0.17726925667375326, | |
"max": 0.17726925667375326, | |
"stddev_outliers": 3, | |
"median": 0.17712456989102066, | |
"iqr_outliers": 0, | |
"iterations": 1, | |
"ld15iqr": 0.1769954040646553 | |
}, | |
"fullname": "src/borg/testsuite/benchmark.py::test_chunk_indexer_c_setitem_after_deletion[0.5]", | |
"name": "test_chunk_indexer_c_setitem_after_deletion[0.5]", | |
"options": { | |
"min_rounds": 5, | |
"warmup": false, | |
"min_time": 5e-06, | |
"disable_gc": false, | |
"timer": "perf_counter", | |
"max_time": 1.0 | |
} | |
}, | |
{ | |
"group": null, | |
"stats": { | |
"stddev": 0.00012705855741663335, | |
"iqr": 0.0001670289784669876, | |
"mean": 0.2576923218090087, | |
"rounds": 10, | |
"q3": 0.2577828047797084, | |
"q1": 0.2576157758012414, | |
"outliers": "2;0", | |
"min": 0.2574650472961366, | |
"hd15iqr": 0.2579057216644287, | |
"max": 0.2579057216644287, | |
"stddev_outliers": 2, | |
"median": 0.25769423809833825, | |
"iqr_outliers": 0, | |
"iterations": 1, | |
"ld15iqr": 0.2574650472961366 | |
}, | |
"fullname": "src/borg/testsuite/benchmark.py::test_chunk_indexer_c_setitem_after_deletion[0.75]", | |
"name": "test_chunk_indexer_c_setitem_after_deletion[0.75]", | |
"options": { | |
"min_rounds": 5, | |
"warmup": false, | |
"min_time": 5e-06, | |
"disable_gc": false, | |
"timer": "perf_counter", | |
"max_time": 1.0 | |
} | |
}, | |
{ | |
"group": null, | |
"stats": { | |
"stddev": 0.00015344038694019364, | |
"iqr": 0.0002364562824368477, | |
"mean": 0.3059691740665585, | |
"rounds": 10, | |
"q3": 0.30612766230478883, | |
"q1": 0.305891206022352, | |
"outliers": "5;0", | |
"min": 0.305715321097523, | |
"hd15iqr": 0.3061505788937211, | |
"max": 0.3061505788937211, | |
"stddev_outliers": 5, | |
"median": 0.3059349290560931, | |
"iqr_outliers": 0, | |
"iterations": 1, | |
"ld15iqr": 0.305715321097523 | |
}, | |
"fullname": "src/borg/testsuite/benchmark.py::test_chunk_indexer_c_setitem_after_deletion[0.85]", | |
"name": "test_chunk_indexer_c_setitem_after_deletion[0.85]", | |
"options": { | |
"min_rounds": 5, | |
"warmup": false, | |
"min_time": 5e-06, | |
"disable_gc": false, | |
"timer": "perf_counter", | |
"max_time": 1.0 | |
} | |
}, | |
{ | |
"group": null, | |
"stats": { | |
"stddev": 0.0002307095992087373, | |
"iqr": 0.00030526053160429, | |
"mean": 0.352288801362738, | |
"rounds": 10, | |
"q3": 0.35238154139369726, | |
"q1": 0.35207628086209297, | |
"outliers": "3;0", | |
"min": 0.35197070986032486, | |
"hd15iqr": 0.35275747487321496, | |
"max": 0.35275747487321496, | |
"stddev_outliers": 3, | |
"median": 0.35231463937088847, | |
"iqr_outliers": 0, | |
"iterations": 1, | |
"ld15iqr": 0.35197070986032486 | |
}, | |
"fullname": "src/borg/testsuite/benchmark.py::test_chunk_indexer_c_setitem_after_deletion[0.93]", | |
"name": "test_chunk_indexer_c_setitem_after_deletion[0.93]", | |
"options": { | |
"min_rounds": 5, | |
"warmup": false, | |
"min_time": 5e-06, | |
"disable_gc": false, | |
"timer": "perf_counter", | |
"max_time": 1.0 | |
} | |
}, | |
{ | |
"group": null, | |
"stats": { | |
"stddev": 0.00010771330116413863, | |
"iqr": 0.00014973804354667664, | |
"mean": 0.36551456013694406, | |
"rounds": 10, | |
"q3": 0.36558063700795174, | |
"q1": 0.36543089896440506, | |
"outliers": "3;0", | |
"min": 0.3653432438150048, | |
"hd15iqr": 0.36568126175552607, | |
"max": 0.36568126175552607, | |
"stddev_outliers": 3, | |
"median": 0.3655175918247551, | |
"iqr_outliers": 0, | |
"iterations": 1, | |
"ld15iqr": 0.3653432438150048 | |
}, | |
"fullname": "src/borg/testsuite/benchmark.py::test_chunk_indexer_c_setitem_after_deletion[0.95]", | |
"name": "test_chunk_indexer_c_setitem_after_deletion[0.95]", | |
"options": { | |
"min_rounds": 5, | |
"warmup": false, | |
"min_time": 5e-06, | |
"disable_gc": false, | |
"timer": "perf_counter", | |
"max_time": 1.0 | |
} | |
}, | |
{ | |
"group": null, | |
"stats": { | |
"stddev": 5.0582029220330024e-05, | |
"iqr": 5.567818880081177e-05, | |
"mean": 0.10739678614772856, | |
"rounds": 10, | |
"q3": 0.10743018193170428, | |
"q1": 0.10737450374290347, | |
"outliers": "2;1", | |
"min": 0.10728018311783671, | |
"hd15iqr": 0.10746205691248178, | |
"max": 0.10746205691248178, | |
"stddev_outliers": 2, | |
"median": 0.10740611958317459, | |
"iqr_outliers": 1, | |
"iterations": 1, | |
"ld15iqr": 0.10736101493239403 | |
}, | |
"fullname": "src/borg/testsuite/benchmark.py::test_chunk_indexer_c_churn[0.3]", | |
"name": "test_chunk_indexer_c_churn[0.3]", | |
"options": { | |
"min_rounds": 5, | |
"warmup": false, | |
"min_time": 5e-06, | |
"disable_gc": false, | |
"timer": "perf_counter", | |
"max_time": 1.0 | |
} | |
}, | |
{ | |
"group": null, | |
"stats": { | |
"stddev": 0.00013779376044933538, | |
"iqr": 0.00016993097960948944, | |
"mean": 0.19732020613737405, | |
"rounds": 10, | |
"q3": 0.1973976269364357, | |
"q1": 0.1972276959568262, | |
"outliers": "3;0", | |
"min": 0.19711367087438703, | |
"hd15iqr": 0.19758248329162598, | |
"max": 0.19758248329162598, | |
"stddev_outliers": 3, | |
"median": 0.19731385842896998, | |
"iqr_outliers": 0, | |
"iterations": 1, | |
"ld15iqr": 0.19711367087438703 | |
}, | |
"fullname": "src/borg/testsuite/benchmark.py::test_chunk_indexer_c_churn[0.5]", | |
"name": "test_chunk_indexer_c_churn[0.5]", | |
"options": { | |
"min_rounds": 5, | |
"warmup": false, | |
"min_time": 5e-06, | |
"disable_gc": false, | |
"timer": "perf_counter", | |
"max_time": 1.0 | |
} | |
}, | |
{ | |
"group": null, | |
"stats": { | |
"stddev": 0.00015332050715019397, | |
"iqr": 0.00019640615209937096, | |
"mean": 0.28992340387776494, | |
"rounds": 10, | |
"q3": 0.2900143568404019, | |
"q1": 0.2898179506883025, | |
"outliers": "4;0", | |
"min": 0.28975581657141447, | |
"hd15iqr": 0.29022555286064744, | |
"max": 0.29022555286064744, | |
"stddev_outliers": 4, | |
"median": 0.2898732640314847, | |
"iqr_outliers": 0, | |
"iterations": 1, | |
"ld15iqr": 0.28975581657141447 | |
}, | |
"fullname": "src/borg/testsuite/benchmark.py::test_chunk_indexer_c_churn[0.75]", | |
"name": "test_chunk_indexer_c_churn[0.75]", | |
"options": { | |
"min_rounds": 5, | |
"warmup": false, | |
"min_time": 5e-06, | |
"disable_gc": false, | |
"timer": "perf_counter", | |
"max_time": 1.0 | |
} | |
}, | |
{ | |
"group": null, | |
"stats": { | |
"stddev": 0.00011576935199055351, | |
"iqr": 6.062490865588188e-05, | |
"mean": 0.34025199874304235, | |
"rounds": 10, | |
"q3": 0.34025210281834006, | |
"q1": 0.3401914779096842, | |
"outliers": "2;1", | |
"min": 0.340123875066638, | |
"hd15iqr": 0.34054074762389064, | |
"max": 0.34054074762389064, | |
"stddev_outliers": 2, | |
"median": 0.34022082784213126, | |
"iqr_outliers": 1, | |
"iterations": 1, | |
"ld15iqr": 0.340123875066638 | |
}, | |
"fullname": "src/borg/testsuite/benchmark.py::test_chunk_indexer_c_churn[0.85]", | |
"name": "test_chunk_indexer_c_churn[0.85]", | |
"options": { | |
"min_rounds": 5, | |
"warmup": false, | |
"min_time": 5e-06, | |
"disable_gc": false, | |
"timer": "perf_counter", | |
"max_time": 1.0 | |
} | |
}, | |
{ | |
"group": null, | |
"stats": { | |
"stddev": 8.361421910115514e-05, | |
"iqr": 0.00011546816676855087, | |
"mean": 0.3852625998202711, | |
"rounds": 10, | |
"q3": 0.38530054735019803, | |
"q1": 0.3851850791834295, | |
"outliers": "4;0", | |
"min": 0.38514580810442567, | |
"hd15iqr": 0.3854004433378577, | |
"max": 0.3854004433378577, | |
"stddev_outliers": 4, | |
"median": 0.385256928158924, | |
"iqr_outliers": 0, | |
"iterations": 1, | |
"ld15iqr": 0.38514580810442567 | |
}, | |
"fullname": "src/borg/testsuite/benchmark.py::test_chunk_indexer_c_churn[0.93]", | |
"name": "test_chunk_indexer_c_churn[0.93]", | |
"options": { | |
"min_rounds": 5, | |
"warmup": false, | |
"min_time": 5e-06, | |
"disable_gc": false, | |
"timer": "perf_counter", | |
"max_time": 1.0 | |
} | |
}, | |
{ | |
"group": null, | |
"stats": { | |
"stddev": 0.00018842936132765578, | |
"iqr": 0.00033166492357850075, | |
"mean": 0.3975025048479438, | |
"rounds": 10, | |
"q3": 0.39762986497953534, | |
"q1": 0.39729820005595684, | |
"outliers": "5;0", | |
"min": 0.3972315820865333, | |
"hd15iqr": 0.3977416870184243, | |
"max": 0.3977416870184243, | |
"stddev_outliers": 5, | |
"median": 0.3975818420294672, | |
"iqr_outliers": 0, | |
"iterations": 1, | |
"ld15iqr": 0.3972315820865333 | |
}, | |
"fullname": "src/borg/testsuite/benchmark.py::test_chunk_indexer_c_churn[0.95]", | |
"name": "test_chunk_indexer_c_churn[0.95]", | |
"options": { | |
"min_rounds": 5, | |
"warmup": false, | |
"min_time": 5e-06, | |
"disable_gc": false, | |
"timer": "perf_counter", | |
"max_time": 1.0 | |
} | |
} | |
] | |
} |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
{ | |
"commit_info": { | |
"id": "2f8588f499f934f9165c3d05a05ff6218c91d94c", | |
"dirty": false | |
}, | |
"version": "3.0.0", | |
"datetime": "2017-01-30T00:26:19.988345", | |
"machine_info": { | |
"processor": "", | |
"release": "4.4.38-v7+", | |
"node": "zed", | |
"python_implementation": "CPython", | |
"system": "Linux", | |
"python_version": "3.4.2", | |
"machine": "armv7l", | |
"python_compiler": "GCC 4.9.1" | |
}, | |
"benchmarks": [ | |
{ | |
"stats": { | |
"iterations": 1, | |
"outliers": "1;1", | |
"min": 0.0835407548584044, | |
"median": 0.08360794186592102, | |
"iqr": 4.989560693502426e-05, | |
"rounds": 10, | |
"q3": 0.08364190068095922, | |
"ld15iqr": 0.0835407548584044, | |
"hd15iqr": 0.08387814881280065, | |
"stddev": 9.320718152985207e-05, | |
"mean": 0.08363015027716755, | |
"max": 0.08387814881280065, | |
"q1": 0.0835920050740242, | |
"stddev_outliers": 1, | |
"iqr_outliers": 1 | |
}, | |
"fullname": "src/borg/testsuite/benchmark.py::test_chunk_indexer_c_getitem[0.3]", | |
"name": "test_chunk_indexer_c_getitem[0.3]", | |
"group": null, | |
"options": { | |
"max_time": 1.0, | |
"disable_gc": false, | |
"timer": "perf_counter", | |
"warmup": false, | |
"min_time": 5e-06, | |
"min_rounds": 5 | |
} | |
}, | |
{ | |
"stats": { | |
"iterations": 1, | |
"outliers": "3;0", | |
"min": 0.21593951899558306, | |
"median": 0.21601826837286353, | |
"iqr": 0.00010656332597136497, | |
"rounds": 10, | |
"q3": 0.21609644638374448, | |
"ld15iqr": 0.21593951899558306, | |
"hd15iqr": 0.216227225959301, | |
"stddev": 8.550362236012266e-05, | |
"mean": 0.2160465497057885, | |
"max": 0.216227225959301, | |
"q1": 0.2159898830577731, | |
"stddev_outliers": 3, | |
"iqr_outliers": 0 | |
}, | |
"fullname": "src/borg/testsuite/benchmark.py::test_chunk_indexer_c_getitem[0.5]", | |
"name": "test_chunk_indexer_c_getitem[0.5]", | |
"group": null, | |
"options": { | |
"max_time": 1.0, | |
"disable_gc": false, | |
"timer": "perf_counter", | |
"warmup": false, | |
"min_time": 5e-06, | |
"min_rounds": 5 | |
} | |
}, | |
{ | |
"stats": { | |
"iterations": 1, | |
"outliers": "2;0", | |
"min": 0.2662242418155074, | |
"median": 0.2662676277104765, | |
"iqr": 7.275957614183426e-05, | |
"rounds": 10, | |
"q3": 0.26631314773112535, | |
"ld15iqr": 0.2662242418155074, | |
"hd15iqr": 0.2664180430583656, | |
"stddev": 6.747278269604912e-05, | |
"mean": 0.266291481256485, | |
"max": 0.2664180430583656, | |
"q1": 0.2662403881549835, | |
"stddev_outliers": 2, | |
"iqr_outliers": 0 | |
}, | |
"fullname": "src/borg/testsuite/benchmark.py::test_chunk_indexer_c_getitem[0.75]", | |
"name": "test_chunk_indexer_c_getitem[0.75]", | |
"group": null, | |
"options": { | |
"max_time": 1.0, | |
"disable_gc": false, | |
"timer": "perf_counter", | |
"warmup": false, | |
"min_time": 5e-06, | |
"min_rounds": 5 | |
} | |
}, | |
{ | |
"stats": { | |
"iterations": 1, | |
"outliers": "2;0", | |
"min": 0.37308413488790393, | |
"median": 0.37324738944880664, | |
"iqr": 0.00014927005395293236, | |
"rounds": 10, | |
"q3": 0.37334908125922084, | |
"ld15iqr": 0.37308413488790393, | |
"hd15iqr": 0.37348507111892104, | |
"stddev": 0.0001132413234526456, | |
"mean": 0.3732708477415144, | |
"max": 0.37348507111892104, | |
"q1": 0.3731998112052679, | |
"stddev_outliers": 2, | |
"iqr_outliers": 0 | |
}, | |
"fullname": "src/borg/testsuite/benchmark.py::test_chunk_indexer_c_getitem[0.85]", | |
"name": "test_chunk_indexer_c_getitem[0.85]", | |
"group": null, | |
"options": { | |
"max_time": 1.0, | |
"disable_gc": false, | |
"timer": "perf_counter", | |
"warmup": false, | |
"min_time": 5e-06, | |
"min_rounds": 5 | |
} | |
}, | |
{ | |
"stats": { | |
"iterations": 1, | |
"outliers": "3;0", | |
"min": 0.6147597623057663, | |
"median": 0.614899032516405, | |
"iqr": 0.00016005057841539383, | |
"rounds": 10, | |
"q3": 0.6149714798666537, | |
"ld15iqr": 0.6147597623057663, | |
"hd15iqr": 0.615092989988625, | |
"stddev": 0.00011340905357380931, | |
"mean": 0.6149064907804132, | |
"max": 0.615092989988625, | |
"q1": 0.6148114292882383, | |
"stddev_outliers": 3, | |
"iqr_outliers": 0 | |
}, | |
"fullname": "src/borg/testsuite/benchmark.py::test_chunk_indexer_c_getitem[0.93]", | |
"name": "test_chunk_indexer_c_getitem[0.93]", | |
"group": null, | |
"options": { | |
"max_time": 1.0, | |
"disable_gc": false, | |
"timer": "perf_counter", | |
"warmup": false, | |
"min_time": 5e-06, | |
"min_rounds": 5 | |
} | |
}, | |
{ | |
"stats": { | |
"iterations": 1, | |
"outliers": "3;0", | |
"min": 0.7851707898080349, | |
"median": 0.7853351903613657, | |
"iqr": 0.00015650875866413116, | |
"rounds": 10, | |
"q3": 0.7854196429252625, | |
"ld15iqr": 0.7851707898080349, | |
"hd15iqr": 0.7855092259123921, | |
"stddev": 0.00010850636707702979, | |
"mean": 0.7853339350782335, | |
"max": 0.7855092259123921, | |
"q1": 0.7852631341665983, | |
"stddev_outliers": 3, | |
"iqr_outliers": 0 | |
}, | |
"fullname": "src/borg/testsuite/benchmark.py::test_chunk_indexer_c_getitem[0.95]", | |
"name": "test_chunk_indexer_c_getitem[0.95]", | |
"group": null, | |
"options": { | |
"max_time": 1.0, | |
"disable_gc": false, | |
"timer": "perf_counter", | |
"warmup": false, | |
"min_time": 5e-06, | |
"min_rounds": 5 | |
} | |
}, | |
{ | |
"stats": { | |
"iterations": 1, | |
"outliers": "5;0", | |
"min": 0.11546819703653455, | |
"median": 0.11554595665074885, | |
"iqr": 0.0001444779336452484, | |
"rounds": 10, | |
"q3": 0.11567757092416286, | |
"ld15iqr": 0.11546819703653455, | |
"hd15iqr": 0.11571397725492716, | |
"stddev": 8.83807561506621e-05, | |
"mean": 0.11558270147070289, | |
"max": 0.11571397725492716, | |
"q1": 0.11553309299051762, | |
"stddev_outliers": 5, | |
"iqr_outliers": 0 | |
}, | |
"fullname": "src/borg/testsuite/benchmark.py::test_chunk_indexer_c_getitem_with_misses[0.3]", | |
"name": "test_chunk_indexer_c_getitem_with_misses[0.3]", | |
"group": null, | |
"options": { | |
"max_time": 1.0, | |
"disable_gc": false, | |
"timer": "perf_counter", | |
"warmup": false, | |
"min_time": 5e-06, | |
"min_rounds": 5 | |
} | |
}, | |
{ | |
"stats": { | |
"iterations": 1, | |
"outliers": "2;2", | |
"min": 0.4679933381266892, | |
"median": 0.4681247442495078, | |
"iqr": 6.317673251032829e-05, | |
"rounds": 10, | |
"q3": 0.46816245187073946, | |
"ld15iqr": 0.46807953622192144, | |
"hd15iqr": 0.46833750419318676, | |
"stddev": 8.728234241530968e-05, | |
"mean": 0.46813397835940124, | |
"max": 0.46833750419318676, | |
"q1": 0.46809927513822913, | |
"stddev_outliers": 2, | |
"iqr_outliers": 2 | |
}, | |
"fullname": "src/borg/testsuite/benchmark.py::test_chunk_indexer_c_getitem_with_misses[0.5]", | |
"name": "test_chunk_indexer_c_getitem_with_misses[0.5]", | |
"group": null, | |
"options": { | |
"max_time": 1.0, | |
"disable_gc": false, | |
"timer": "perf_counter", | |
"warmup": false, | |
"min_time": 5e-06, | |
"min_rounds": 5 | |
} | |
}, | |
{ | |
"stats": { | |
"iterations": 1, | |
"outliers": "2;0", | |
"min": 0.4429713930003345, | |
"median": 0.4431773815304041, | |
"iqr": 0.00016671791672706604, | |
"rounds": 10, | |
"q3": 0.4432797250337899, | |
"ld15iqr": 0.4429713930003345, | |
"hd15iqr": 0.44333883933722973, | |
"stddev": 0.00010869195403253351, | |
"mean": 0.4431809386704117, | |
"max": 0.44333883933722973, | |
"q1": 0.4431130071170628, | |
"stddev_outliers": 2, | |
"iqr_outliers": 0 | |
}, | |
"fullname": "src/borg/testsuite/benchmark.py::test_chunk_indexer_c_getitem_with_misses[0.75]", | |
"name": "test_chunk_indexer_c_getitem_with_misses[0.75]", | |
"group": null, | |
"options": { | |
"max_time": 1.0, | |
"disable_gc": false, | |
"timer": "perf_counter", | |
"warmup": false, | |
"min_time": 5e-06, | |
"min_rounds": 5 | |
} | |
}, | |
{ | |
"stats": { | |
"iterations": 1, | |
"outliers": "3;0", | |
"min": 0.8046597819775343, | |
"median": 0.804837360046804, | |
"iqr": 0.00017630122601985931, | |
"rounds": 10, | |
"q3": 0.8049026462249458, | |
"ld15iqr": 0.8046597819775343, | |
"hd15iqr": 0.8049154062755406, | |
"stddev": 9.070017821892801e-05, | |
"mean": 0.8048153548967093, | |
"max": 0.8049154062755406, | |
"q1": 0.8047263449989259, | |
"stddev_outliers": 3, | |
"iqr_outliers": 0 | |
}, | |
"fullname": "src/borg/testsuite/benchmark.py::test_chunk_indexer_c_getitem_with_misses[0.85]", | |
"name": "test_chunk_indexer_c_getitem_with_misses[0.85]", | |
"group": null, | |
"options": { | |
"max_time": 1.0, | |
"disable_gc": false, | |
"timer": "perf_counter", | |
"warmup": false, | |
"min_time": 5e-06, | |
"min_rounds": 5 | |
} | |
}, | |
{ | |
"stats": { | |
"iterations": 1, | |
"outliers": "5;0", | |
"min": 2.54053520783782, | |
"median": 2.54088570154272, | |
"iqr": 0.0004367697983980179, | |
"rounds": 10, | |
"q3": 2.541082445997745, | |
"ld15iqr": 2.54053520783782, | |
"hd15iqr": 2.541167600080371, | |
"stddev": 0.0002175307305969996, | |
"mean": 2.5408600922208278, | |
"max": 2.541167600080371, | |
"q1": 2.540645676199347, | |
"stddev_outliers": 5, | |
"iqr_outliers": 0 | |
}, | |
"fullname": "src/borg/testsuite/benchmark.py::test_chunk_indexer_c_getitem_with_misses[0.93]", | |
"name": "test_chunk_indexer_c_getitem_with_misses[0.93]", | |
"group": null, | |
"options": { | |
"max_time": 1.0, | |
"disable_gc": false, | |
"timer": "perf_counter", | |
"warmup": false, | |
"min_time": 5e-06, | |
"min_rounds": 5 | |
} | |
}, | |
{ | |
"stats": { | |
"iterations": 1, | |
"outliers": "3;0", | |
"min": 4.459397591184825, | |
"median": 4.459690773393959, | |
"iqr": 0.00038510607555508614, | |
"rounds": 10, | |
"q3": 4.459938067011535, | |
"ld15iqr": 4.459397591184825, | |
"hd15iqr": 4.4601244130171835, | |
"stddev": 0.00025027514333230175, | |
"mean": 4.459742896212265, | |
"max": 4.4601244130171835, | |
"q1": 4.45955296093598, | |
"stddev_outliers": 3, | |
"iqr_outliers": 0 | |
}, | |
"fullname": "src/borg/testsuite/benchmark.py::test_chunk_indexer_c_getitem_with_misses[0.95]", | |
"name": "test_chunk_indexer_c_getitem_with_misses[0.95]", | |
"group": null, | |
"options": { | |
"max_time": 1.0, | |
"disable_gc": false, | |
"timer": "perf_counter", | |
"warmup": false, | |
"min_time": 5e-06, | |
"min_rounds": 5 | |
} | |
}, | |
{ | |
"stats": { | |
"iterations": 1, | |
"outliers": "3;0", | |
"min": 0.10655176779255271, | |
"median": 0.10660916427150369, | |
"iqr": 8.614594116806984e-05, | |
"rounds": 10, | |
"q3": 0.106658851262182, | |
"ld15iqr": 0.10655176779255271, | |
"hd15iqr": 0.10671598557382822, | |
"stddev": 5.728387569492895e-05, | |
"mean": 0.10661725210957229, | |
"max": 0.10671598557382822, | |
"q1": 0.10657270532101393, | |
"stddev_outliers": 3, | |
"iqr_outliers": 0 | |
}, | |
"fullname": "src/borg/testsuite/benchmark.py::test_chunk_indexer_c_setitem_update[0.3]", | |
"name": "test_chunk_indexer_c_setitem_update[0.3]", | |
"group": null, | |
"options": { | |
"max_time": 1.0, | |
"disable_gc": false, | |
"timer": "perf_counter", | |
"warmup": false, | |
"min_time": 5e-06, | |
"min_rounds": 5 | |
} | |
}, | |
{ | |
"stats": { | |
"iterations": 1, | |
"outliers": "5;0", | |
"min": 0.25434203911572695, | |
"median": 0.2544605804141611, | |
"iqr": 0.00018666638061404228, | |
"rounds": 10, | |
"q3": 0.2545603201724589, | |
"ld15iqr": 0.25434203911572695, | |
"hd15iqr": 0.25458948593586683, | |
"stddev": 9.732073050367454e-05, | |
"mean": 0.2544611481949687, | |
"max": 0.25458948593586683, | |
"q1": 0.25437365379184484, | |
"stddev_outliers": 5, | |
"iqr_outliers": 0 | |
}, | |
"fullname": "src/borg/testsuite/benchmark.py::test_chunk_indexer_c_setitem_update[0.5]", | |
"name": "test_chunk_indexer_c_setitem_update[0.5]", | |
"group": null, | |
"options": { | |
"max_time": 1.0, | |
"disable_gc": false, | |
"timer": "perf_counter", | |
"warmup": false, | |
"min_time": 5e-06, | |
"min_rounds": 5 | |
} | |
}, | |
{ | |
"stats": { | |
"iterations": 1, | |
"outliers": "4;0", | |
"min": 0.32429054705426097, | |
"median": 0.32453450514003634, | |
"iqr": 0.00023281155154109, | |
"rounds": 10, | |
"q3": 0.32459986861795187, | |
"ld15iqr": 0.32429054705426097, | |
"hd15iqr": 0.32478143088519573, | |
"stddev": 0.00016389650122173053, | |
"mean": 0.3245122028514743, | |
"max": 0.32478143088519573, | |
"q1": 0.3243670570664108, | |
"stddev_outliers": 4, | |
"iqr_outliers": 0 | |
}, | |
"fullname": "src/borg/testsuite/benchmark.py::test_chunk_indexer_c_setitem_update[0.75]", | |
"name": "test_chunk_indexer_c_setitem_update[0.75]", | |
"group": null, | |
"options": { | |
"max_time": 1.0, | |
"disable_gc": false, | |
"timer": "perf_counter", | |
"warmup": false, | |
"min_time": 5e-06, | |
"min_rounds": 5 | |
} | |
}, | |
{ | |
"stats": { | |
"iterations": 1, | |
"outliers": "3;0", | |
"min": 0.438741663005203, | |
"median": 0.43910629698075354, | |
"iqr": 0.00022484268993139267, | |
"rounds": 10, | |
"q3": 0.439178014639765, | |
"ld15iqr": 0.438741663005203, | |
"hd15iqr": 0.4392982227727771, | |
"stddev": 0.00016942845679342137, | |
"mean": 0.43908274485729637, | |
"max": 0.4392982227727771, | |
"q1": 0.43895317194983363, | |
"stddev_outliers": 3, | |
"iqr_outliers": 0 | |
}, | |
"fullname": "src/borg/testsuite/benchmark.py::test_chunk_indexer_c_setitem_update[0.85]", | |
"name": "test_chunk_indexer_c_setitem_update[0.85]", | |
"group": null, | |
"options": { | |
"max_time": 1.0, | |
"disable_gc": false, | |
"timer": "perf_counter", | |
"warmup": false, | |
"min_time": 5e-06, | |
"min_rounds": 5 | |
} | |
}, | |
{ | |
"stats": { | |
"iterations": 1, | |
"outliers": "2;0", | |
"min": 0.6864368999376893, | |
"median": 0.6866640618536621, | |
"iqr": 0.00024750037118792534, | |
"rounds": 10, | |
"q3": 0.686818775255233, | |
"ld15iqr": 0.6864368999376893, | |
"hd15iqr": 0.6871675746515393, | |
"stddev": 0.00021188596238881367, | |
"mean": 0.6867081393487752, | |
"max": 0.6871675746515393, | |
"q1": 0.6865712748840451, | |
"stddev_outliers": 2, | |
"iqr_outliers": 0 | |
}, | |
"fullname": "src/borg/testsuite/benchmark.py::test_chunk_indexer_c_setitem_update[0.93]", | |
"name": "test_chunk_indexer_c_setitem_update[0.93]", | |
"group": null, | |
"options": { | |
"max_time": 1.0, | |
"disable_gc": false, | |
"timer": "perf_counter", | |
"warmup": false, | |
"min_time": 5e-06, | |
"min_rounds": 5 | |
} | |
}, | |
{ | |
"stats": { | |
"iterations": 1, | |
"outliers": "3;0", | |
"min": 0.8584446390159428, | |
"median": 0.8586205497849733, | |
"iqr": 0.00027911365032196045, | |
"rounds": 10, | |
"q3": 0.858788491692394, | |
"ld15iqr": 0.8584446390159428, | |
"hd15iqr": 0.8588848458603024, | |
"stddev": 0.00015890943744860546, | |
"mean": 0.8586421069689095, | |
"max": 0.8588848458603024, | |
"q1": 0.8585093780420721, | |
"stddev_outliers": 3, | |
"iqr_outliers": 0 | |
}, | |
"fullname": "src/borg/testsuite/benchmark.py::test_chunk_indexer_c_setitem_update[0.95]", | |
"name": "test_chunk_indexer_c_setitem_update[0.95]", | |
"group": null, | |
"options": { | |
"max_time": 1.0, | |
"disable_gc": false, | |
"timer": "perf_counter", | |
"warmup": false, | |
"min_time": 5e-06, | |
"min_rounds": 5 | |
} | |
}, | |
{ | |
"stats": { | |
"iterations": 1, | |
"outliers": "2;1", | |
"min": 0.11267075687646866, | |
"median": 0.11275203223340213, | |
"iqr": 9.901076555252075e-05, | |
"rounds": 10, | |
"q3": 0.1127910171635449, | |
"ld15iqr": 0.11267075687646866, | |
"hd15iqr": 0.1129473177716136, | |
"stddev": 8.250172605075706e-05, | |
"mean": 0.11276230835355819, | |
"max": 0.1129473177716136, | |
"q1": 0.11269200639799237, | |
"stddev_outliers": 2, | |
"iqr_outliers": 1 | |
}, | |
"fullname": "src/borg/testsuite/benchmark.py::test_chunk_indexer_c_setitem[0.3]", | |
"name": "test_chunk_indexer_c_setitem[0.3]", | |
"group": null, | |
"options": { | |
"max_time": 1.0, | |
"disable_gc": false, | |
"timer": "perf_counter", | |
"warmup": false, | |
"min_time": 5e-06, | |
"min_rounds": 5 | |
} | |
}, | |
{ | |
"stats": { | |
"iterations": 1, | |
"outliers": "5;0", | |
"min": 0.2655276241712272, | |
"median": 0.26565999421291053, | |
"iqr": 0.00015718722715973854, | |
"rounds": 10, | |
"q3": 0.2657269462943077, | |
"ld15iqr": 0.2655276241712272, | |
"hd15iqr": 0.2657560082152486, | |
"stddev": 8.351778864694204e-05, | |
"mean": 0.26565532679669557, | |
"max": 0.2657560082152486, | |
"q1": 0.26556975906714797, | |
"stddev_outliers": 5, | |
"iqr_outliers": 0 | |
}, | |
"fullname": "src/borg/testsuite/benchmark.py::test_chunk_indexer_c_setitem[0.5]", | |
"name": "test_chunk_indexer_c_setitem[0.5]", | |
"group": null, | |
"options": { | |
"max_time": 1.0, | |
"disable_gc": false, | |
"timer": "perf_counter", | |
"warmup": false, | |
"min_time": 5e-06, | |
"min_rounds": 5 | |
} | |
}, | |
{ | |
"stats": { | |
"iterations": 1, | |
"outliers": "4;0", | |
"min": 0.3406419469974935, | |
"median": 0.3407814521342516, | |
"iqr": 0.00023203017190098763, | |
"rounds": 10, | |
"q3": 0.34091871697455645, | |
"ld15iqr": 0.3406419469974935, | |
"hd15iqr": 0.3410100187174976, | |
"stddev": 0.0001310717078376182, | |
"mean": 0.3407993685919791, | |
"max": 0.3410100187174976, | |
"q1": 0.34068668680265546, | |
"stddev_outliers": 4, | |
"iqr_outliers": 0 | |
}, | |
"fullname": "src/borg/testsuite/benchmark.py::test_chunk_indexer_c_setitem[0.75]", | |
"name": "test_chunk_indexer_c_setitem[0.75]", | |
"group": null, | |
"options": { | |
"max_time": 1.0, | |
"disable_gc": false, | |
"timer": "perf_counter", | |
"warmup": false, | |
"min_time": 5e-06, | |
"min_rounds": 5 | |
} | |
}, | |
{ | |
"stats": { | |
"iterations": 1, | |
"outliers": "4;0", | |
"min": 0.45790846832096577, | |
"median": 0.45818096748553216, | |
"iqr": 0.000383695587515831, | |
"rounds": 10, | |
"q3": 0.45843122666701674, | |
"ld15iqr": 0.45790846832096577, | |
"hd15iqr": 0.4585438300855458, | |
"stddev": 0.0002306463891277699, | |
"mean": 0.4582100712228566, | |
"max": 0.4585438300855458, | |
"q1": 0.4580475310795009, | |
"stddev_outliers": 4, | |
"iqr_outliers": 0 | |
}, | |
"fullname": "src/borg/testsuite/benchmark.py::test_chunk_indexer_c_setitem[0.85]", | |
"name": "test_chunk_indexer_c_setitem[0.85]", | |
"group": null, | |
"options": { | |
"max_time": 1.0, | |
"disable_gc": false, | |
"timer": "perf_counter", | |
"warmup": false, | |
"min_time": 5e-06, | |
"min_rounds": 5 | |
} | |
}, | |
{ | |
"stats": { | |
"iterations": 1, | |
"outliers": "4;0", | |
"min": 0.7081711939536035, | |
"median": 0.7084925740491599, | |
"iqr": 0.00026005133986473083, | |
"rounds": 10, | |
"q3": 0.7087208284065127, | |
"ld15iqr": 0.7081711939536035, | |
"hd15iqr": 0.708842858672142, | |
"stddev": 0.00023040035710901975, | |
"mean": 0.7085387139581144, | |
"max": 0.708842858672142, | |
"q1": 0.708460777066648, | |
"stddev_outliers": 4, | |
"iqr_outliers": 0 | |
}, | |
"fullname": "src/borg/testsuite/benchmark.py::test_chunk_indexer_c_setitem[0.93]", | |
"name": "test_chunk_indexer_c_setitem[0.93]", | |
"group": null, | |
"options": { | |
"max_time": 1.0, | |
"disable_gc": false, | |
"timer": "perf_counter", | |
"warmup": false, | |
"min_time": 5e-06, | |
"min_rounds": 5 | |
} | |
}, | |
{ | |
"stats": { | |
"iterations": 1, | |
"outliers": "3;0", | |
"min": 0.8808747627772391, | |
"median": 0.8811221825890243, | |
"iqr": 0.0003020297735929489, | |
"rounds": 10, | |
"q3": 0.8812238229438663, | |
"ld15iqr": 0.8808747627772391, | |
"hd15iqr": 0.8814561143517494, | |
"stddev": 0.00019009891303728871, | |
"mean": 0.881111870193854, | |
"max": 0.8814561143517494, | |
"q1": 0.8809217931702733, | |
"stddev_outliers": 3, | |
"iqr_outliers": 0 | |
}, | |
"fullname": "src/borg/testsuite/benchmark.py::test_chunk_indexer_c_setitem[0.95]", | |
"name": "test_chunk_indexer_c_setitem[0.95]", | |
"group": null, | |
"options": { | |
"max_time": 1.0, | |
"disable_gc": false, | |
"timer": "perf_counter", | |
"warmup": false, | |
"min_time": 5e-06, | |
"min_rounds": 5 | |
} | |
}, | |
{ | |
"stats": { | |
"iterations": 1, | |
"outliers": "2;0", | |
"min": 0.01751822093501687, | |
"median": 0.017535330029204488, | |
"iqr": 4.1093211621046066e-05, | |
"rounds": 10, | |
"q3": 0.017567803151905537, | |
"ld15iqr": 0.01751822093501687, | |
"hd15iqr": 0.01761342817917466, | |
"stddev": 3.060002684208925e-05, | |
"mean": 0.01754759019240737, | |
"max": 0.01761342817917466, | |
"q1": 0.01752670994028449, | |
"stddev_outliers": 2, | |
"iqr_outliers": 0 | |
}, | |
"fullname": "src/borg/testsuite/benchmark.py::test_chunk_indexer_c_delete[0.3]", | |
"name": "test_chunk_indexer_c_delete[0.3]", | |
"group": null, | |
"options": { | |
"max_time": 1.0, | |
"disable_gc": false, | |
"timer": "perf_counter", | |
"warmup": false, | |
"min_time": 5e-06, | |
"min_rounds": 5 | |
} | |
}, | |
{ | |
"stats": { | |
"iterations": 1, | |
"outliers": "4;0", | |
"min": 0.02900604484602809, | |
"median": 0.029053024714812636, | |
"iqr": 8.635316044092178e-05, | |
"rounds": 10, | |
"q3": 0.029101305175572634, | |
"ld15iqr": 0.02900604484602809, | |
"hd15iqr": 0.02911937842145562, | |
"stddev": 4.48466847891574e-05, | |
"mean": 0.02905952949076891, | |
"max": 0.02911937842145562, | |
"q1": 0.029014952015131712, | |
"stddev_outliers": 4, | |
"iqr_outliers": 0 | |
}, | |
"fullname": "src/borg/testsuite/benchmark.py::test_chunk_indexer_c_delete[0.5]", | |
"name": "test_chunk_indexer_c_delete[0.5]", | |
"group": null, | |
"options": { | |
"max_time": 1.0, | |
"disable_gc": false, | |
"timer": "perf_counter", | |
"warmup": false, | |
"min_time": 5e-06, | |
"min_rounds": 5 | |
} | |
}, | |
{ | |
"stats": { | |
"iterations": 1, | |
"outliers": "4;0", | |
"min": 0.04416333697736263, | |
"median": 0.044371486408635974, | |
"iqr": 0.00020562391728162766, | |
"rounds": 10, | |
"q3": 0.044481616001576185, | |
"ld15iqr": 0.04416333697736263, | |
"hd15iqr": 0.04456489812582731, | |
"stddev": 0.00013000810654880735, | |
"mean": 0.044377075415104626, | |
"max": 0.04456489812582731, | |
"q1": 0.04427599208429456, | |
"stddev_outliers": 4, | |
"iqr_outliers": 0 | |
}, | |
"fullname": "src/borg/testsuite/benchmark.py::test_chunk_indexer_c_delete[0.75]", | |
"name": "test_chunk_indexer_c_delete[0.75]", | |
"group": null, | |
"options": { | |
"max_time": 1.0, | |
"disable_gc": false, | |
"timer": "perf_counter", | |
"warmup": false, | |
"min_time": 5e-06, | |
"min_rounds": 5 | |
} | |
}, | |
{ | |
"stats": { | |
"iterations": 1, | |
"outliers": "5;0", | |
"min": 0.050042117945849895, | |
"median": 0.05014737811870873, | |
"iqr": 0.0002132807858288288, | |
"rounds": 10, | |
"q3": 0.050288887694478035, | |
"ld15iqr": 0.050042117945849895, | |
"hd15iqr": 0.050318678840994835, | |
"stddev": 0.00010581039967758778, | |
"mean": 0.05016515906900167, | |
"max": 0.050318678840994835, | |
"q1": 0.050075606908649206, | |
"stddev_outliers": 5, | |
"iqr_outliers": 0 | |
}, | |
"fullname": "src/borg/testsuite/benchmark.py::test_chunk_indexer_c_delete[0.85]", | |
"name": "test_chunk_indexer_c_delete[0.85]", | |
"group": null, | |
"options": { | |
"max_time": 1.0, | |
"disable_gc": false, | |
"timer": "perf_counter", | |
"warmup": false, | |
"min_time": 5e-06, | |
"min_rounds": 5 | |
} | |
}, | |
{ | |
"stats": { | |
"iterations": 1, | |
"outliers": "3;0", | |
"min": 0.0547142899595201, | |
"median": 0.05480262264609337, | |
"iqr": 9.473878890275955e-05, | |
"rounds": 10, | |
"q3": 0.05483720498159528, | |
"ld15iqr": 0.0547142899595201, | |
"hd15iqr": 0.054895016830414534, | |
"stddev": 6.087588848291725e-05, | |
"mean": 0.054799372283741835, | |
"max": 0.054895016830414534, | |
"q1": 0.05474246619269252, | |
"stddev_outliers": 3, | |
"iqr_outliers": 0 | |
}, | |
"fullname": "src/borg/testsuite/benchmark.py::test_chunk_indexer_c_delete[0.93]", | |
"name": "test_chunk_indexer_c_delete[0.93]", | |
"group": null, | |
"options": { | |
"max_time": 1.0, | |
"disable_gc": false, | |
"timer": "perf_counter", | |
"warmup": false, | |
"min_time": 5e-06, | |
"min_rounds": 5 | |
} | |
}, | |
{ | |
"stats": { | |
"iterations": 1, | |
"outliers": "2;0", | |
"min": 0.05590699287131429, | |
"median": 0.05596769601106644, | |
"iqr": 0.00014953035861253738, | |
"rounds": 10, | |
"q3": 0.05608058627694845, | |
"ld15iqr": 0.05590699287131429, | |
"hd15iqr": 0.05625996086746454, | |
"stddev": 0.00011951380026197181, | |
"mean": 0.056018039816990495, | |
"max": 0.05625996086746454, | |
"q1": 0.055931055918335915, | |
"stddev_outliers": 2, | |
"iqr_outliers": 0 | |
}, | |
"fullname": "src/borg/testsuite/benchmark.py::test_chunk_indexer_c_delete[0.95]", | |
"name": "test_chunk_indexer_c_delete[0.95]", | |
"group": null, | |
"options": { | |
"max_time": 1.0, | |
"disable_gc": false, | |
"timer": "perf_counter", | |
"warmup": false, | |
"min_time": 5e-06, | |
"min_rounds": 5 | |
} | |
}, | |
{ | |
"stats": { | |
"iterations": 1, | |
"outliers": "5;0", | |
"min": 0.08630980364978313, | |
"median": 0.0863429035525769, | |
"iqr": 6.010383367538452e-05, | |
"rounds": 10, | |
"q3": 0.0863898559473455, | |
"ld15iqr": 0.08630980364978313, | |
"hd15iqr": 0.08640360599383712, | |
"stddev": 3.420212656124303e-05, | |
"mean": 0.08635426759719848, | |
"max": 0.08640360599383712, | |
"q1": 0.08632975211367011, | |
"stddev_outliers": 5, | |
"iqr_outliers": 0 | |
}, | |
"fullname": "src/borg/testsuite/benchmark.py::test_chunk_indexer_c_setitem_after_deletion[0.3]", | |
"name": "test_chunk_indexer_c_setitem_after_deletion[0.3]", | |
"group": null, | |
"options": { | |
"max_time": 1.0, | |
"disable_gc": false, | |
"timer": "perf_counter", | |
"warmup": false, | |
"min_time": 5e-06, | |
"min_rounds": 5 | |
} | |
}, | |
{ | |
"stats": { | |
"iterations": 1, | |
"outliers": "4;0", | |
"min": 0.166850205976516, | |
"median": 0.16710447543300688, | |
"iqr": 0.00017432216554880142, | |
"rounds": 10, | |
"q3": 0.16714697517454624, | |
"ld15iqr": 0.166850205976516, | |
"hd15iqr": 0.1671970789320767, | |
"stddev": 0.0001199254976648455, | |
"mean": 0.16706597516313196, | |
"max": 0.1671970789320767, | |
"q1": 0.16697265300899744, | |
"stddev_outliers": 4, | |
"iqr_outliers": 0 | |
}, | |
"fullname": "src/borg/testsuite/benchmark.py::test_chunk_indexer_c_setitem_after_deletion[0.5]", | |
"name": "test_chunk_indexer_c_setitem_after_deletion[0.5]", | |
"group": null, | |
"options": { | |
"max_time": 1.0, | |
"disable_gc": false, | |
"timer": "perf_counter", | |
"warmup": false, | |
"min_time": 5e-06, | |
"min_rounds": 5 | |
} | |
}, | |
{ | |
"stats": { | |
"iterations": 1, | |
"outliers": "2;0", | |
"min": 0.24061466800048947, | |
"median": 0.24067438044585288, | |
"iqr": 8.869683369994164e-05, | |
"rounds": 10, | |
"q3": 0.24072133377194405, | |
"ld15iqr": 0.24061466800048947, | |
"hd15iqr": 0.2408354477956891, | |
"stddev": 7.919839057197019e-05, | |
"mean": 0.2406937819905579, | |
"max": 0.2408354477956891, | |
"q1": 0.2406326369382441, | |
"stddev_outliers": 2, | |
"iqr_outliers": 0 | |
}, | |
"fullname": "src/borg/testsuite/benchmark.py::test_chunk_indexer_c_setitem_after_deletion[0.75]", | |
"name": "test_chunk_indexer_c_setitem_after_deletion[0.75]", | |
"group": null, | |
"options": { | |
"max_time": 1.0, | |
"disable_gc": false, | |
"timer": "perf_counter", | |
"warmup": false, | |
"min_time": 5e-06, | |
"min_rounds": 5 | |
} | |
}, | |
{ | |
"stats": { | |
"iterations": 1, | |
"outliers": "4;0", | |
"min": 0.2887983932159841, | |
"median": 0.2890040169004351, | |
"iqr": 0.00023791566491127014, | |
"rounds": 10, | |
"q3": 0.2891682870686054, | |
"ld15iqr": 0.2887983932159841, | |
"hd15iqr": 0.28924125526100397, | |
"stddev": 0.00015230717997615655, | |
"mean": 0.2890311783179641, | |
"max": 0.28924125526100397, | |
"q1": 0.28893037140369415, | |
"stddev_outliers": 4, | |
"iqr_outliers": 0 | |
}, | |
"fullname": "src/borg/testsuite/benchmark.py::test_chunk_indexer_c_setitem_after_deletion[0.85]", | |
"name": "test_chunk_indexer_c_setitem_after_deletion[0.85]", | |
"group": null, | |
"options": { | |
"max_time": 1.0, | |
"disable_gc": false, | |
"timer": "perf_counter", | |
"warmup": false, | |
"min_time": 5e-06, | |
"min_rounds": 5 | |
} | |
}, | |
{ | |
"stats": { | |
"iterations": 1, | |
"outliers": "5;0", | |
"min": 0.3360134242102504, | |
"median": 0.3364939682651311, | |
"iqr": 0.0006960895843803883, | |
"rounds": 10, | |
"q3": 0.33678019093349576, | |
"ld15iqr": 0.3360134242102504, | |
"hd15iqr": 0.33682076539844275, | |
"stddev": 0.00032690788594357206, | |
"mean": 0.3364576252643019, | |
"max": 0.33682076539844275, | |
"q1": 0.33608410134911537, | |
"stddev_outliers": 5, | |
"iqr_outliers": 0 | |
}, | |
"fullname": "src/borg/testsuite/benchmark.py::test_chunk_indexer_c_setitem_after_deletion[0.93]", | |
"name": "test_chunk_indexer_c_setitem_after_deletion[0.93]", | |
"group": null, | |
"options": { | |
"max_time": 1.0, | |
"disable_gc": false, | |
"timer": "perf_counter", | |
"warmup": false, | |
"min_time": 5e-06, | |
"min_rounds": 5 | |
} | |
}, | |
{ | |
"stats": { | |
"iterations": 1, | |
"outliers": "3;0", | |
"min": 0.35001555923372507, | |
"median": 0.35017037531360984, | |
"iqr": 0.00020145811140537262, | |
"rounds": 10, | |
"q3": 0.3502892558462918, | |
"ld15iqr": 0.35001555923372507, | |
"hd15iqr": 0.3505746712908149, | |
"stddev": 0.00016955541781505068, | |
"mean": 0.35020854766480625, | |
"max": 0.3505746712908149, | |
"q1": 0.3500877977348864, | |
"stddev_outliers": 3, | |
"iqr_outliers": 0 | |
}, | |
"fullname": "src/borg/testsuite/benchmark.py::test_chunk_indexer_c_setitem_after_deletion[0.95]", | |
"name": "test_chunk_indexer_c_setitem_after_deletion[0.95]", | |
"group": null, | |
"options": { | |
"max_time": 1.0, | |
"disable_gc": false, | |
"timer": "perf_counter", | |
"warmup": false, | |
"min_time": 5e-06, | |
"min_rounds": 5 | |
} | |
}, | |
{ | |
"stats": { | |
"iterations": 1, | |
"outliers": "3;0", | |
"min": 0.10121852532029152, | |
"median": 0.10136615508235991, | |
"iqr": 9.801983833312988e-05, | |
"rounds": 10, | |
"q3": 0.10140555584803224, | |
"ld15iqr": 0.10121852532029152, | |
"hd15iqr": 0.10142243094742298, | |
"stddev": 7.535183546293156e-05, | |
"mean": 0.10134599376469851, | |
"max": 0.10142243094742298, | |
"q1": 0.1013075360096991, | |
"stddev_outliers": 3, | |
"iqr_outliers": 0 | |
}, | |
"fullname": "src/borg/testsuite/benchmark.py::test_chunk_indexer_c_churn[0.3]", | |
"name": "test_chunk_indexer_c_churn[0.3]", | |
"group": null, | |
"options": { | |
"max_time": 1.0, | |
"disable_gc": false, | |
"timer": "perf_counter", | |
"warmup": false, | |
"min_time": 5e-06, | |
"min_rounds": 5 | |
} | |
}, | |
{ | |
"stats": { | |
"iterations": 1, | |
"outliers": "4;0", | |
"min": 0.189859286416322, | |
"median": 0.1899525411427021, | |
"iqr": 0.00010973913595080376, | |
"rounds": 10, | |
"q3": 0.1899980348534882, | |
"ld15iqr": 0.189859286416322, | |
"hd15iqr": 0.19009829498827457, | |
"stddev": 7.738432199030455e-05, | |
"mean": 0.18995579080656172, | |
"max": 0.19009829498827457, | |
"q1": 0.1898882957175374, | |
"stddev_outliers": 4, | |
"iqr_outliers": 0 | |
}, | |
"fullname": "src/borg/testsuite/benchmark.py::test_chunk_indexer_c_churn[0.5]", | |
"name": "test_chunk_indexer_c_churn[0.5]", | |
"group": null, | |
"options": { | |
"max_time": 1.0, | |
"disable_gc": false, | |
"timer": "perf_counter", | |
"warmup": false, | |
"min_time": 5e-06, | |
"min_rounds": 5 | |
} | |
}, | |
{ | |
"stats": { | |
"iterations": 1, | |
"outliers": "2;1", | |
"min": 0.2770409369841218, | |
"median": 0.2772422123234719, | |
"iqr": 9.859399870038033e-05, | |
"rounds": 10, | |
"q3": 0.277264425996691, | |
"ld15iqr": 0.2770409369841218, | |
"hd15iqr": 0.27744947792962193, | |
"stddev": 0.00010642141746321099, | |
"mean": 0.2772304990328848, | |
"max": 0.27744947792962193, | |
"q1": 0.2771658319979906, | |
"stddev_outliers": 2, | |
"iqr_outliers": 1 | |
}, | |
"fullname": "src/borg/testsuite/benchmark.py::test_chunk_indexer_c_churn[0.75]", | |
"name": "test_chunk_indexer_c_churn[0.75]", | |
"group": null, | |
"options": { | |
"max_time": 1.0, | |
"disable_gc": false, | |
"timer": "perf_counter", | |
"warmup": false, | |
"min_time": 5e-06, | |
"min_rounds": 5 | |
} | |
}, | |
{ | |
"stats": { | |
"iterations": 1, | |
"outliers": "3;0", | |
"min": 0.3273609047755599, | |
"median": 0.32773697027005255, | |
"iqr": 0.0002749999985098839, | |
"rounds": 10, | |
"q3": 0.32794986106455326, | |
"ld15iqr": 0.3273609047755599, | |
"hd15iqr": 0.32804163126274943, | |
"stddev": 0.00019921683976460792, | |
"mean": 0.32776077268645165, | |
"max": 0.32804163126274943, | |
"q1": 0.3276748610660434, | |
"stddev_outliers": 3, | |
"iqr_outliers": 0 | |
}, | |
"fullname": "src/borg/testsuite/benchmark.py::test_chunk_indexer_c_churn[0.85]", | |
"name": "test_chunk_indexer_c_churn[0.85]", | |
"group": null, | |
"options": { | |
"max_time": 1.0, | |
"disable_gc": false, | |
"timer": "perf_counter", | |
"warmup": false, | |
"min_time": 5e-06, | |
"min_rounds": 5 | |
} | |
}, | |
{ | |
"stats": { | |
"iterations": 1, | |
"outliers": "2;2", | |
"min": 0.37334255408495665, | |
"median": 0.37365914206020534, | |
"iqr": 0.00017015589401125908, | |
"rounds": 10, | |
"q3": 0.3737720320932567, | |
"ld15iqr": 0.3735364079475403, | |
"hd15iqr": 0.37403901014477015, | |
"stddev": 0.00018833251190563454, | |
"mean": 0.373681272007525, | |
"max": 0.37403901014477015, | |
"q1": 0.37360187619924545, | |
"stddev_outliers": 2, | |
"iqr_outliers": 2 | |
}, | |
"fullname": "src/borg/testsuite/benchmark.py::test_chunk_indexer_c_churn[0.93]", | |
"name": "test_chunk_indexer_c_churn[0.93]", | |
"group": null, | |
"options": { | |
"max_time": 1.0, | |
"disable_gc": false, | |
"timer": "perf_counter", | |
"warmup": false, | |
"min_time": 5e-06, | |
"min_rounds": 5 | |
} | |
}, | |
{ | |
"stats": { | |
"iterations": 1, | |
"outliers": "2;1", | |
"min": 0.385838549118489, | |
"median": 0.3861250064801425, | |
"iqr": 0.0001330203376710415, | |
"rounds": 10, | |
"q3": 0.3861842770129442, | |
"ld15iqr": 0.38598750811070204, | |
"hd15iqr": 0.3863197457976639, | |
"stddev": 0.00013150124611891205, | |
"mean": 0.3861109234392643, | |
"max": 0.3863197457976639, | |
"q1": 0.3860512566752732, | |
"stddev_outliers": 2, | |
"iqr_outliers": 1 | |
}, | |
"fullname": "src/borg/testsuite/benchmark.py::test_chunk_indexer_c_churn[0.95]", | |
"name": "test_chunk_indexer_c_churn[0.95]", | |
"group": null, | |
"options": { | |
"max_time": 1.0, | |
"disable_gc": false, | |
"timer": "perf_counter", | |
"warmup": false, | |
"min_time": 5e-06, | |
"min_rounds": 5 | |
} | |
} | |
] | |
} |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
from collections import defaultdict, OrderedDict | |
import json | |
import re | |
import pygal | |
def load_data(name): | |
funcs = defaultdict(dict) | |
with open(name) as fdesc: | |
data = json.load(fdesc) | |
for benchmark in data['benchmarks']: | |
func_name, load = re.match("(.+)\[(.+)\]", benchmark['name']).groups() | |
funcs[func_name][load] = benchmark['stats']['min'] | |
return { | |
test_name: OrderedDict(sorted(test_data.items(), key=lambda x: float(x[0]))) | |
for test_name, test_data in funcs.items() | |
} | |
HEADER = """<html><head><title>Borg Benchmark results</title></head><body>""" | |
FILE = """<iframe src="{f_name}" width="800" height="800" frameBorder="0"></iframe> """ | |
FOOTER = """</body></html>""" | |
def render(): | |
data = OrderedDict([ | |
('baseline', load_data('0008_baseline.json')), | |
('fix', load_data('0016_baseline_f.json')), | |
# ('baseline_m', load_data('0014_baseline_m.json')), | |
# ('baseline_mf', load_data('0015_baseline_m.json')), | |
# ('rh', load_data('0007_rh_np.json')), | |
# ('rh16', load_data('0010_rh_16.json')), | |
# ('rh8', load_data('0006_rh.json')), | |
]) | |
with open('results.html', 'w') as fd: | |
fd.write(HEADER) | |
for test_name in sorted(data['baseline'].keys()): | |
print(test_name) | |
chart = pygal.Bar() | |
chart.title = test_name | |
chart.x_labels = data['baseline'][test_name].keys() | |
for benchmark_name, bench_data in data.items(): | |
print(benchmark_name, end=' ') | |
chart.add(benchmark_name, bench_data[test_name].values()) | |
f_name = "{}.svg".format(test_name) | |
chart.render_to_file(f_name) | |
fd.write(FILE.format(f_name=f_name)) | |
print() | |
print('-'*10) | |
fd.write(FOOTER) | |
render() |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
<html><head><title>Borg Benchmark results</title></head><body><iframe src="test_chunk_indexer_c_churn.svg" width="800" height="800" frameBorder="0"></iframe> <iframe src="test_chunk_indexer_c_delete.svg" width="800" height="800" frameBorder="0"></iframe> <iframe src="test_chunk_indexer_c_getitem.svg" width="800" height="800" frameBorder="0"></iframe> <iframe src="test_chunk_indexer_c_getitem_with_misses.svg" width="800" height="800" frameBorder="0"></iframe> <iframe src="test_chunk_indexer_c_setitem.svg" width="800" height="800" frameBorder="0"></iframe> <iframe src="test_chunk_indexer_c_setitem_after_deletion.svg" width="800" height="800" frameBorder="0"></iframe> <iframe src="test_chunk_indexer_c_setitem_update.svg" width="800" height="800" frameBorder="0"></iframe> </body></html> |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment