From e76844ff10e43595cddb15a3a6860e3f468e2127 Mon Sep 17 00:00:00 2001 From: Philip Chmielowiec <67855069+philipc2@users.noreply.github.com> Date: Sat, 14 Sep 2024 11:11:25 -0500 Subject: [PATCH] Delete results/philipc2-desktop/benchmarks.json --- results/philipc2-desktop/benchmarks.json | 460 ----------------------- 1 file changed, 460 deletions(-) delete mode 100644 results/philipc2-desktop/benchmarks.json diff --git a/results/philipc2-desktop/benchmarks.json b/results/philipc2-desktop/benchmarks.json deleted file mode 100644 index d0b2ec9f..00000000 --- a/results/philipc2-desktop/benchmarks.json +++ /dev/null @@ -1,460 +0,0 @@ -{ - "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