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0.0023548], [50, 5], [10, 10]], "mpas_ocean.HoleEdgeIndices.time_construct_hole_edge_indices": [null, [["'480km'", "'120km'"]], "9721e8e4eadfbb1cbd9e353e11bb66f2ceb3a946c59a0040419b48cc1258f165", 1726259261246, 4.9246], "mpas_ocean.Integrate.time_integrate": [[0.01836235000519082, 0.282509550001123], [["'480km'", "'120km'"]], "4884ecd1a6d03e961f2ac877955cd44cbd952b85df5df47398dc92317dfe65a3", 1726259530084, 26.439, [0.018076, 0.28103], [0.018701, 0.28881], [0.018265, 0.28191], [0.018534, 0.28374], [1, 1], [10, 10]], "mpas_ocean.MatplotlibConversion.time_dataarray_to_polycollection": [[0.017449700011638924, 0.017642199993133545, 0.01774529999238439, 0.27691204998700414, 0.27759515000798274, 0.27739044999179896], [["'480km'", "'120km'"], ["'include'", "'exclude'", "'split'"]], "26e4314dabc51bab6febda69c8d170ce4502991ee109dbf89fde2f038c3a678c", 1726259540409, 64.101, [0.017107, 0.017177, 0.017243, 0.2737, 0.27435, 0.27478], [0.018491, 0.017914, 0.018282, 0.28063, 0.28155, 0.29594], [0.017299, 0.017464, 0.017623, 0.27623, 0.27634, 0.27649], [0.017754, 0.017771, 0.017917, 0.27862, 0.27884, 0.27845], [1, 1, 1, 1, 1, 1], [10, 10, 10, 10, 10, 10]], "mpas_ocean.RemapDownsample.time_inverse_distance_weighted_remapping": [[0.0233524000068428], [], "35146054f62256ab927954781012aad8a15b03eef90a4aece78bf2b7002c4853", 1726259572435, 6.0762, [0.022711], [0.024352], [0.023098], [0.023507], [1], [10]], "mpas_ocean.RemapDownsample.time_nearest_neighbor_remapping": [[0.0137135999975726], [], "3454ce734208221027c7080a56f1e679ae092a93516752a89474d75d7a705472", 1726259575474, 6.0807, [0.013453], [0.013882], [0.013606], [0.013736], [2], [10]], "mpas_ocean.RemapUpsample.time_inverse_distance_weighted_remapping": [[0.13472234999062493], [], "0836cc8c471952d8a557cf8d6c1d3c0677d0193d4ad961126f0bd34dab5dd9b9", 1726259578524, 7.2125, [0.13399], [0.13931], [0.13439], [0.13516], [1], [10]], "mpas_ocean.RemapUpsample.time_nearest_neighbor_remapping": [[0.08626044999982696], [], "db94cc8878dce6417e0aa06f72be38042115986e62fe929389fb2b48d8c93582", 1726259582133, 6.7856, [0.085387], [0.088696], [0.085657], [0.086669], [1], [10]], "quad_hexagon.QuadHexagon.time_open_dataset": [[0.006558350003615487], [], "04f0374471175756c99c2792d638ac40872fdbe2301368ec39fd096f4195fa9a", 1726259590447, 5.2063, [0.0063446], [0.0070131], [0.0065214], [0.006647], [2], [10]], "quad_hexagon.QuadHexagon.time_open_grid": [[0.004979083329089917], [], "23b984b5aa811d5e0d05013c8e071d46285a6908fa146376bc3ca71591fa251a", 1726259593055, 5.201, [0.0049294], [0.0055726], [0.0049396], [0.0052774], [3], [10]], "face_bounds.FaceBounds.peakmem_face_bounds": [[352481280, 355500032, 353288192, 352837632], [["WindowsPath('C:/Users/chmie/PycharmProjects/ncar-uxarray/uxarray/test/meshfiles/ugrid/quad-hexagon/grid.nc')", "WindowsPath('C:/Users/chmie/PycharmProjects/ncar-uxarray/uxarray/test/meshfiles/ugrid/geoflow-small/grid.nc')", "WindowsPath('C:/Users/chmie/PycharmProjects/ncar-uxarray/uxarray/test/meshfiles/scrip/outCSne8/outCSne8.nc')", "WindowsPath('C:/Users/chmie/PycharmProjects/ncar-uxarray/uxarray/test/meshfiles/mpas/QU/oQU480.231010.nc')"]], "264d64f2871bf9cf43d671ee77406801857632dd9da3cdd4302188c9f73740e4", 1726259350996, 35.919], "mpas_ocean.GeoDataFrame.peakmem_to_geodataframe": [[333762560, 334307328, 359866368, 379187200], [["'480km'", "'120km'"], ["True", "False"]], "aabe445c29aa2068658af57e83dbb13650b81fab0ac0021b7d4d7a6cc255fe82", 1726259469329, 18.472], "mpas_ocean.Gradient.peakmem_gradient": [[283115520, 297791488], [["'480km'", "'120km'"]], "d30be97e0fbab7963b25f9549426e13d76cf4305fdf9e21af66690feffc07612", 1726259510904, 4.9242], "mpas_ocean.Integrate.peakmem_integrate": [[331042816, 348422144], [["'480km'", "'120km'"]], "a1d2ab08020dfa02c63a017687b71268bb9ab501a2913e114478d53808e75297", 1726259521373, 8.7115], "quad_hexagon.QuadHexagon.peakmem_open_dataset": [[277991424], [], "ad0aeefdf056572ee11796d0103ffa9a88e7bf04c8f9c3725d6c2d890fa188f0", 1726259585522, 2.4792], "quad_hexagon.QuadHexagon.peakmem_open_grid": [[274624512], [], "0d8b965012ecb7916a2b6ca64acae11befae73b3890c5e1ed06f092e9cb0def0", 1726259588001, 2.4464]}, "durations": {"": 57.98921585083008}, "version": 2} \ No newline at end of file diff --git a/results/philipc2-desktop/benchmarks.json b/results/philipc2-desktop/benchmarks.json new file mode 100644 index 00000000..d0b2ec9f --- /dev/null +++ b/results/philipc2-desktop/benchmarks.json @@ -0,0 +1,460 @@ +{ + "antimeridian.gdf.time_to_geodataframe": { + "code": "class gdf:\n def time_to_geodataframe(self):\n self.uxgrid.to_geodataframe(exclude_antimeridian=False)\n\n def setup(self):\n # maybe add Dask Cluster Setup here\n self.uxgrid = ux.open_grid(grid_path)", + "min_run_count": 2, + "name": "antimeridian.gdf.time_to_geodataframe", + "number": 0, + "param_names": [], + "params": [], + "repeat": 0, + "rounds": 2, + "sample_time": 0.01, + "type": "time", + "unit": "seconds", + "version": "f85be1b4ca1d9581d501115a769caf49985fef17d8eaa0c564f9992e37d72b30", + "warmup_time": -1 + }, + "bounds.gdf.time_to_geodataframe": { + "code": "class gdf:\n def time_to_geodataframe(self):\n self.uxgrid.to_geodataframe()\n\n def setup(self):\n # maybe add Dask Cluster Setup here\n self.uxgrid = ux.open_grid(grid_path)", + "min_run_count": 2, + "name": "bounds.gdf.time_to_geodataframe", + "number": 0, + "param_names": [], + "params": [], + "repeat": 0, + "rounds": 2, + "sample_time": 0.01, + "type": "time", + "unit": "seconds", + "version": "fa2cd1b53bee5350e0964c705f79ccb783ee1e8c1c95b165622c8705859adf22", + "warmup_time": -1 + }, + "face_bounds.FaceBounds.peakmem_face_bounds": { + "code": "class FaceBounds:\n def peakmem_face_bounds(self, grid_path):\n \"\"\"Peak memory usage obtain ``Grid.face_bounds.\"\"\"\n face_bounds = self.uxgrid.bounds\n\n def setup(self, grid_path):\n self.uxgrid = ux.open_grid(grid_path)", + "name": "face_bounds.FaceBounds.peakmem_face_bounds", + "param_names": [ + "param1" + ], + "params": [ + [ + "WindowsPath('C:/Users/chmie/PycharmProjects/ncar-uxarray/uxarray/test/meshfiles/ugrid/quad-hexagon/grid.nc')", + "WindowsPath('C:/Users/chmie/PycharmProjects/ncar-uxarray/uxarray/test/meshfiles/ugrid/geoflow-small/grid.nc')", + "WindowsPath('C:/Users/chmie/PycharmProjects/ncar-uxarray/uxarray/test/meshfiles/scrip/outCSne8/outCSne8.nc')", + "WindowsPath('C:/Users/chmie/PycharmProjects/ncar-uxarray/uxarray/test/meshfiles/mpas/QU/oQU480.231010.nc')" + ] + ], + "type": "peakmemory", + "unit": "bytes", + "version": "264d64f2871bf9cf43d671ee77406801857632dd9da3cdd4302188c9f73740e4" + }, + "face_bounds.FaceBounds.time_face_bounds": { + "code": "class FaceBounds:\n def time_face_bounds(self, grid_path):\n \"\"\"Time to obtain ``Grid.face_bounds``\"\"\"\n self.uxgrid.bounds\n\n def setup(self, grid_path):\n self.uxgrid = ux.open_grid(grid_path)", + "min_run_count": 2, + "name": "face_bounds.FaceBounds.time_face_bounds", + "number": 0, + "param_names": [ + "param1" + ], + "params": [ + [ + "WindowsPath('C:/Users/chmie/PycharmProjects/ncar-uxarray/uxarray/test/meshfiles/ugrid/quad-hexagon/grid.nc')", + "WindowsPath('C:/Users/chmie/PycharmProjects/ncar-uxarray/uxarray/test/meshfiles/ugrid/geoflow-small/grid.nc')", + "WindowsPath('C:/Users/chmie/PycharmProjects/ncar-uxarray/uxarray/test/meshfiles/scrip/outCSne8/outCSne8.nc')", + "WindowsPath('C:/Users/chmie/PycharmProjects/ncar-uxarray/uxarray/test/meshfiles/mpas/QU/oQU480.231010.nc')" + ] + ], + "repeat": 0, + "rounds": 2, + "sample_time": 0.01, + "type": "time", + "unit": "seconds", + "version": "59ab137a0d4a031edd79f08b2454bef8eeb9cd8ef799f72e5272f249063ec61d", + "warmup_time": -1 + }, + "import.Imports.timeraw_import_uxarray": { + "code": "class Imports:\n def timeraw_import_uxarray(self):\n return \"import uxarray\"", + "min_run_count": 2, + "name": "import.Imports.timeraw_import_uxarray", + "number": 1, + "param_names": [], + "params": [], + "repeat": 0, + "rounds": 2, + "sample_time": 0.01, + "type": "time", + "unit": "seconds", + "version": "05d7358a621ba8469294e43469945f02cd99857a9d23b35cc2a37d5c90deaf20", + "warmup_time": -1 + }, + "mpas_ocean.ConnectivityConstruction.time_face_face_connectivity": { + "code": "class ConnectivityConstruction:\n def time_face_face_connectivity(self, resolution):\n ux.grid.connectivity._populate_face_face_connectivity(self.uxds.uxgrid)\n\n def setup(self, resolution):\n self.uxds = ux.open_dataset(file_path_dict[resolution][0], file_path_dict[resolution][1])", + "min_run_count": 2, + "name": "mpas_ocean.ConnectivityConstruction.time_face_face_connectivity", + "number": 0, + "param_names": [ + "resolution" + ], + "params": [ + [ + "'480km'", + "'120km'" + ] + ], + "repeat": 0, + "rounds": 2, + "sample_time": 0.01, + "type": "time", + "unit": "seconds", + "version": "ae27a3df82c890aa93df87fc5f67ba8e0c4b51f85da767fac702be7ef05bfa92", + "warmup_time": -1 + }, + "mpas_ocean.ConnectivityConstruction.time_n_nodes_per_face": { + "code": "class ConnectivityConstruction:\n def time_n_nodes_per_face(self, resolution):\n self.uxds.uxgrid.n_nodes_per_face\n\n def setup(self, resolution):\n self.uxds = ux.open_dataset(file_path_dict[resolution][0], file_path_dict[resolution][1])", + "min_run_count": 2, + "name": "mpas_ocean.ConnectivityConstruction.time_n_nodes_per_face", + "number": 0, + "param_names": [ + "resolution" + ], + "params": [ + [ + "'480km'", + "'120km'" + ] + ], + "repeat": 0, + "rounds": 2, + "sample_time": 0.01, + "type": "time", + "unit": "seconds", + "version": "dad5686c3187a018e28621fd2e0ce788e613f508ba3cf7e3cc8136d2423c5fbf", + "warmup_time": -1 + }, + "mpas_ocean.ConstructTreeStructures.time_ball_tree": { + "code": "class ConstructTreeStructures:\n def time_ball_tree(self, resolution):\n self.uxds.uxgrid.get_ball_tree()\n\n def setup(self, resolution):\n self.uxds = ux.open_dataset(file_path_dict[resolution][0], file_path_dict[resolution][1])", + "min_run_count": 2, + "name": "mpas_ocean.ConstructTreeStructures.time_ball_tree", + "number": 0, + "param_names": [ + "resolution" + ], + "params": [ + [ + "'480km'", + "'120km'" + ] + ], + "repeat": 0, + "rounds": 2, + "sample_time": 0.01, + "type": "time", + "unit": "seconds", + "version": "f1f3fea03a00052ef8c3e75069560761700a091dce616cf32ab1503dfd1cd0b9", + "warmup_time": -1 + }, + "mpas_ocean.ConstructTreeStructures.time_kd_tree": { + "code": "class ConstructTreeStructures:\n def time_kd_tree(self, resolution):\n self.uxds.uxgrid.get_kd_tree()\n\n def setup(self, resolution):\n self.uxds = ux.open_dataset(file_path_dict[resolution][0], file_path_dict[resolution][1])", + "min_run_count": 2, + "name": "mpas_ocean.ConstructTreeStructures.time_kd_tree", + "number": 0, + "param_names": [ + "resolution" + ], + "params": [ + [ + "'480km'", + "'120km'" + ] + ], + "repeat": 0, + "rounds": 2, + "sample_time": 0.01, + "type": "time", + "unit": "seconds", + "version": "fc440c582485de0d25b1bbb1e0450bedd0c0c0ebd7b64c4c51022871f790a932", + "warmup_time": -1 + }, + "mpas_ocean.GeoDataFrame.peakmem_to_geodataframe": { + "code": "class GeoDataFrame:\n def peakmem_to_geodataframe(self, resolution, exclude_antimeridian):\n gdf = self.uxds[data_var].to_geodataframe(exclude_antimeridian=exclude_antimeridian)\n\n def setup(self, resolution, exclude_antimeridian):\n self.uxds = ux.open_dataset(file_path_dict[resolution][0], file_path_dict[resolution][1])", + "name": "mpas_ocean.GeoDataFrame.peakmem_to_geodataframe", + "param_names": [ + "resolution", + "exclude_antimeridian" + ], + "params": [ + [ + "'480km'", + "'120km'" + ], + [ + "True", + "False" + ] + ], + "type": "peakmemory", + "unit": "bytes", + "version": "aabe445c29aa2068658af57e83dbb13650b81fab0ac0021b7d4d7a6cc255fe82" + }, + "mpas_ocean.GeoDataFrame.time_to_geodataframe": { + "code": "class GeoDataFrame:\n def time_to_geodataframe(self, resolution, exclude_antimeridian):\n self.uxds[data_var].to_geodataframe(exclude_antimeridian=exclude_antimeridian)\n\n def setup(self, resolution, exclude_antimeridian):\n self.uxds = ux.open_dataset(file_path_dict[resolution][0], file_path_dict[resolution][1])", + "min_run_count": 2, + "name": "mpas_ocean.GeoDataFrame.time_to_geodataframe", + "number": 0, + "param_names": [ + "resolution", + "exclude_antimeridian" + ], + "params": [ + [ + "'480km'", + "'120km'" + ], + [ + "True", + "False" + ] + ], + "repeat": 0, + "rounds": 2, + "sample_time": 0.01, + "type": "time", + "unit": "seconds", + "version": "8fd59dc804740e6ef225af4f52e8814cc380df3ae27baa7bdaf24b6833ac5214", + "warmup_time": -1 + }, + "mpas_ocean.Gradient.peakmem_gradient": { + "code": "class Gradient:\n def peakmem_gradient(self, resolution):\n grad = self.uxds[data_var].gradient()\n\n def setup(self, resolution):\n self.uxds = ux.open_dataset(file_path_dict[resolution][0], file_path_dict[resolution][1])", + "name": "mpas_ocean.Gradient.peakmem_gradient", + "param_names": [ + "resolution" + ], + "params": [ + [ + "'480km'", + "'120km'" + ] + ], + "type": "peakmemory", + "unit": "bytes", + "version": "d30be97e0fbab7963b25f9549426e13d76cf4305fdf9e21af66690feffc07612" + }, + "mpas_ocean.Gradient.time_gradient": { + "code": "class Gradient:\n def time_gradient(self, resolution):\n self.uxds[data_var].gradient()\n\n def setup(self, resolution):\n self.uxds = ux.open_dataset(file_path_dict[resolution][0], file_path_dict[resolution][1])", + "min_run_count": 2, + "name": "mpas_ocean.Gradient.time_gradient", + "number": 0, + "param_names": [ + "resolution" + ], + "params": [ + [ + "'480km'", + "'120km'" + ] + ], + "repeat": 0, + "rounds": 2, + "sample_time": 0.01, + "type": "time", + "unit": "seconds", + "version": "505e2bee0d40c2459579062763518d05d422328f5e6a4955815f8163789dc86e", + "warmup_time": -1 + }, + "mpas_ocean.HoleEdgeIndices.time_construct_hole_edge_indices": { + "code": "class HoleEdgeIndices:\n def time_construct_hole_edge_indices(self, resolution):\n ux.grid.geometry._construct_hole_edge_indices(self.uxds.uxgrid.edge_face_connectivity)\n\n def setup(self, resolution):\n self.uxds = ux.open_dataset(file_path_dict[resolution][0], file_path_dict[resolution][1])", + "min_run_count": 2, + "name": "mpas_ocean.HoleEdgeIndices.time_construct_hole_edge_indices", + "number": 0, + "param_names": [ + "resolution" + ], + "params": [ + [ + "'480km'", + "'120km'" + ] + ], + "repeat": 0, + "rounds": 2, + "sample_time": 0.01, + "type": "time", + "unit": "seconds", + "version": "9721e8e4eadfbb1cbd9e353e11bb66f2ceb3a946c59a0040419b48cc1258f165", + "warmup_time": -1 + }, + "mpas_ocean.Integrate.peakmem_integrate": { + "code": "class Integrate:\n def peakmem_integrate(self, resolution):\n integral = self.uxds[data_var].integrate()\n\n def setup(self, resolution):\n self.uxds = ux.open_dataset(file_path_dict[resolution][0], file_path_dict[resolution][1])", + "name": "mpas_ocean.Integrate.peakmem_integrate", + "param_names": [ + "resolution" + ], + "params": [ + [ + "'480km'", + "'120km'" + ] + ], + "type": "peakmemory", + "unit": "bytes", + "version": "a1d2ab08020dfa02c63a017687b71268bb9ab501a2913e114478d53808e75297" + }, + "mpas_ocean.Integrate.time_integrate": { + "code": "class Integrate:\n def time_integrate(self, resolution):\n self.uxds[data_var].integrate()\n\n def setup(self, resolution):\n self.uxds = ux.open_dataset(file_path_dict[resolution][0], file_path_dict[resolution][1])", + "min_run_count": 2, + "name": "mpas_ocean.Integrate.time_integrate", + "number": 0, + "param_names": [ + "resolution" + ], + "params": [ + [ + "'480km'", + "'120km'" + ] + ], + "repeat": 0, + "rounds": 2, + "sample_time": 0.01, + "type": "time", + "unit": "seconds", + "version": "4884ecd1a6d03e961f2ac877955cd44cbd952b85df5df47398dc92317dfe65a3", + "warmup_time": -1 + }, + "mpas_ocean.MatplotlibConversion.time_dataarray_to_polycollection": { + "code": "class MatplotlibConversion:\n def time_dataarray_to_polycollection(self, resolution, periodic_elements):\n self.uxds[data_var].to_polycollection()\n\n def setup(self, resolution, periodic_elements):\n self.uxds = ux.open_dataset(file_path_dict[resolution][0], file_path_dict[resolution][1])", + "min_run_count": 2, + "name": "mpas_ocean.MatplotlibConversion.time_dataarray_to_polycollection", + "number": 0, + "param_names": [ + "resolution", + "periodic_elements" + ], + "params": [ + [ + "'480km'", + "'120km'" + ], + [ + "'include'", + "'exclude'", + "'split'" + ] + ], + "repeat": 0, + "rounds": 2, + "sample_time": 0.01, + "type": "time", + "unit": "seconds", + "version": "26e4314dabc51bab6febda69c8d170ce4502991ee109dbf89fde2f038c3a678c", + "warmup_time": -1 + }, + "mpas_ocean.RemapDownsample.time_inverse_distance_weighted_remapping": { + "code": "class RemapDownsample:\n def time_inverse_distance_weighted_remapping(self):\n self.uxds_120[\"bottomDepth\"].remap.inverse_distance_weighted(self.uxds_480.uxgrid)\n\n def setup(self):\n self.uxds_120 = ux.open_dataset(file_path_dict['120km'][0], file_path_dict['120km'][1])\n self.uxds_480 = ux.open_dataset(file_path_dict['480km'][0], file_path_dict['480km'][1])", + "min_run_count": 2, + "name": "mpas_ocean.RemapDownsample.time_inverse_distance_weighted_remapping", + "number": 0, + "param_names": [], + "params": [], + "repeat": 0, + "rounds": 2, + "sample_time": 0.01, + "type": "time", + "unit": "seconds", + "version": "35146054f62256ab927954781012aad8a15b03eef90a4aece78bf2b7002c4853", + "warmup_time": -1 + }, + "mpas_ocean.RemapDownsample.time_nearest_neighbor_remapping": { + "code": "class RemapDownsample:\n def time_nearest_neighbor_remapping(self):\n self.uxds_120[\"bottomDepth\"].remap.nearest_neighbor(self.uxds_480.uxgrid)\n\n def setup(self):\n self.uxds_120 = ux.open_dataset(file_path_dict['120km'][0], file_path_dict['120km'][1])\n self.uxds_480 = ux.open_dataset(file_path_dict['480km'][0], file_path_dict['480km'][1])", + "min_run_count": 2, + "name": "mpas_ocean.RemapDownsample.time_nearest_neighbor_remapping", + "number": 0, + "param_names": [], + "params": [], + "repeat": 0, + "rounds": 2, + "sample_time": 0.01, + "type": "time", + "unit": "seconds", + "version": "3454ce734208221027c7080a56f1e679ae092a93516752a89474d75d7a705472", + "warmup_time": -1 + }, + "mpas_ocean.RemapUpsample.time_inverse_distance_weighted_remapping": { + "code": "class RemapUpsample:\n def time_inverse_distance_weighted_remapping(self):\n self.uxds_480[\"bottomDepth\"].remap.inverse_distance_weighted(self.uxds_120.uxgrid)\n\n def setup(self):\n self.uxds_120 = ux.open_dataset(file_path_dict['120km'][0], file_path_dict['120km'][1])\n self.uxds_480 = ux.open_dataset(file_path_dict['480km'][0], file_path_dict['480km'][1])", + "min_run_count": 2, + "name": "mpas_ocean.RemapUpsample.time_inverse_distance_weighted_remapping", + "number": 0, + "param_names": [], + "params": [], + "repeat": 0, + "rounds": 2, + "sample_time": 0.01, + "type": "time", + "unit": "seconds", + "version": "0836cc8c471952d8a557cf8d6c1d3c0677d0193d4ad961126f0bd34dab5dd9b9", + "warmup_time": -1 + }, + "mpas_ocean.RemapUpsample.time_nearest_neighbor_remapping": { + "code": "class RemapUpsample:\n def time_nearest_neighbor_remapping(self):\n self.uxds_480[\"bottomDepth\"].remap.nearest_neighbor(self.uxds_120.uxgrid)\n\n def setup(self):\n self.uxds_120 = ux.open_dataset(file_path_dict['120km'][0], file_path_dict['120km'][1])\n self.uxds_480 = ux.open_dataset(file_path_dict['480km'][0], file_path_dict['480km'][1])", + "min_run_count": 2, + "name": "mpas_ocean.RemapUpsample.time_nearest_neighbor_remapping", + "number": 0, + "param_names": [], + "params": [], + "repeat": 0, + "rounds": 2, + "sample_time": 0.01, + "type": "time", + "unit": "seconds", + "version": "db94cc8878dce6417e0aa06f72be38042115986e62fe929389fb2b48d8c93582", + "warmup_time": -1 + }, + "quad_hexagon.QuadHexagon.peakmem_open_dataset": { + "code": "class QuadHexagon:\n def peakmem_open_dataset(self):\n \"\"\"Peak memory usage of a `UxDataset`\"\"\"\n uxds = ux.open_dataset(grid_path, data_path)", + "name": "quad_hexagon.QuadHexagon.peakmem_open_dataset", + "param_names": [], + "params": [], + "type": "peakmemory", + "unit": "bytes", + "version": "ad0aeefdf056572ee11796d0103ffa9a88e7bf04c8f9c3725d6c2d890fa188f0" + }, + "quad_hexagon.QuadHexagon.peakmem_open_grid": { + "code": "class QuadHexagon:\n def peakmem_open_grid(self):\n \"\"\"Peak memory usage of a `Grid`\"\"\"\n uxgrid = ux.open_grid(grid_path)", + "name": "quad_hexagon.QuadHexagon.peakmem_open_grid", + "param_names": [], + "params": [], + "type": "peakmemory", + "unit": "bytes", + "version": "0d8b965012ecb7916a2b6ca64acae11befae73b3890c5e1ed06f092e9cb0def0" + }, + "quad_hexagon.QuadHexagon.time_open_dataset": { + "code": "class QuadHexagon:\n def time_open_dataset(self):\n \"\"\"Time to open a `UxDataset`\"\"\"\n ux.open_dataset(grid_path, data_path)", + "min_run_count": 2, + "name": "quad_hexagon.QuadHexagon.time_open_dataset", + "number": 0, + "param_names": [], + "params": [], + "repeat": 0, + "rounds": 2, + "sample_time": 0.01, + "type": "time", + "unit": "seconds", + "version": "04f0374471175756c99c2792d638ac40872fdbe2301368ec39fd096f4195fa9a", + "warmup_time": -1 + }, + "quad_hexagon.QuadHexagon.time_open_grid": { + "code": "class QuadHexagon:\n def time_open_grid(self):\n \"\"\"Time to open a `Grid`\"\"\"\n ux.open_grid(grid_path)", + "min_run_count": 2, + "name": "quad_hexagon.QuadHexagon.time_open_grid", + "number": 0, + "param_names": [], + "params": [], + "repeat": 0, + "rounds": 2, + "sample_time": 0.01, + "type": "time", + "unit": "seconds", + "version": "23b984b5aa811d5e0d05013c8e071d46285a6908fa146376bc3ca71591fa251a", + "warmup_time": -1 + }, + "version": 2 +} \ No newline at end of file diff --git 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