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"xarray": "", "netcdf4": "", "pip+pyfma": "", "branch": "main"}, {"arch": "x64", "cpu": "2-core unknown", "machine": "GH-Actions", "os": "ubuntu-latest", "ram": "7GB", "python": "", "branch": "main", "setuptools_scm": null, "xarray": null, "netcdf4": null, "pip+pyfma": null}], "benchmarks": {"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": [["PosixPath('/home/runner/work/uxarray/uxarray/test/meshfiles/ugrid/quad-hexagon/grid.nc')", "PosixPath('/home/runner/work/uxarray/uxarray/test/meshfiles/ugrid/geoflow-small/grid.nc')", "PosixPath('/home/runner/work/uxarray/uxarray/test/meshfiles/scrip/outCSne8/outCSne8.nc')", "PosixPath('/home/runner/work/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": [["PosixPath('/home/runner/work/uxarray/uxarray/test/meshfiles/ugrid/quad-hexagon/grid.nc')", "PosixPath('/home/runner/work/uxarray/uxarray/test/meshfiles/ugrid/geoflow-small/grid.nc')", "PosixPath('/home/runner/work/uxarray/uxarray/test/meshfiles/scrip/outCSne8/outCSne8.nc')", "PosixPath('/home/runner/work/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.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}}, "machines": {"GH-Actions": {"arch": "x64", "cpu": "2-core unknown", "machine": "GH-Actions", "os": "ubuntu-latest", "ram": "7GB", "version": 1}}, "tags": {"2023.12.0": 2829, "v.2022.6.0": 277, "v.2022.6.0-beta": 277, "v0.0.1": 43, "v0.0.2": 47, "v2022.07.0": 396, "v2022.08.0": 488, "v2022.09.0": 641, "v2022.10.0": 794, 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"PosixPath('/home/runner/work/uxarray/uxarray/test/meshfiles/scrip/outCSne8/outCSne8.nc')", "PosixPath('/home/runner/work/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": [["PosixPath('/home/runner/work/uxarray/uxarray/test/meshfiles/ugrid/quad-hexagon/grid.nc')", "PosixPath('/home/runner/work/uxarray/uxarray/test/meshfiles/ugrid/geoflow-small/grid.nc')", "PosixPath('/home/runner/work/uxarray/uxarray/test/meshfiles/scrip/outCSne8/outCSne8.nc')", "PosixPath('/home/runner/work/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.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": 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tag:uxarray.asv,1970-01-01:/9035beacbfb5c6eddaefcd6d0187de7911f502298e77729009122cf02a568cd7Airspeed Velocityuxarray performance regressions2024-08-09T06:04:48Ztag:uxarray.asv,2024-08-09:/508fcb8b83e23325bb753e7aa0abede6d9233f55924a293797e59f3986c8433624.53% face_bounds.FaceBounds.peakmem_face_bounds(PosixPath('/home/runner/work/uxarray/uxarray/test/meshfiles/ugrid/quad-hexagon/grid.nc'))2024-08-09T06:04:48Z<a href="index.html#face_bounds.FaceBounds.peakmem_face_bounds?p-param1=PosixPath%28%27%2Fhome%2Frunner%2Fwork%2Fuxarray%2Fuxarray%2Ftest%2Fmeshfiles%2Fugrid%2Fquad-hexagon%2Fgrid.nc%27%29&commits=1a68daa24a4840334027fd2621fc1882abf19743">24.53% regression</a> on 2024-08-09 05:59:06 in commit <a href="#1a68daa24a4840334027fd2621fc1882abf19743">1a68daa2</a>.<br> New value: 378M, old value: 304M.<br> - Latest value: 379M (62.15% worse + Latest value: 379M (62.17% worse than best value 234M).tag:uxarray.asv,2024-08-09:/f9caff488394fb9113af88d811c9955c967affe31980e39165e3bc1b04703a3b23.41% face_bounds.FaceBounds.peakmem_face_bounds(PosixPath('/home/runner/work/uxarray/uxarray/test/meshfiles/ugrid/geoflow-small/grid.nc'))2024-08-09T06:04:48Z<a href="index.html#face_bounds.FaceBounds.peakmem_face_bounds?p-param1=PosixPath%28%27%2Fhome%2Frunner%2Fwork%2Fuxarray%2Fuxarray%2Ftest%2Fmeshfiles%2Fugrid%2Fgeoflow-small%2Fgrid.nc%27%29&commits=1a68daa24a4840334027fd2621fc1882abf19743">23.41% regression</a> on 2024-08-09 05:59:06 in commit <a href="#1a68daa24a4840334027fd2621fc1882abf19743">1a68daa2</a>.<br> New value: 380M, old value: 308M.<br> - Latest value: 383M (57.18% worse + Latest value: 383M (57.19% worse than best value 244M).tag:uxarray.asv,2024-08-09:/cad95fa85c5f8b3abe5d232a89848b77e93bf1b583a545ac8aa91b4de15d11f224.54% face_bounds.FaceBounds.peakmem_face_bounds(PosixPath('/home/runner/work/uxarray/uxarray/test/meshfiles/scrip/outCSne8/outCSne8.nc'))2024-08-09T06:04:48Z<a href="index.html#face_bounds.FaceBounds.peakmem_face_bounds?p-param1=PosixPath%28%27%2Fhome%2Frunner%2Fwork%2Fuxarray%2Fuxarray%2Ftest%2Fmeshfiles%2Fscrip%2FoutCSne8%2FoutCSne8.nc%27%29&commits=1a68daa24a4840334027fd2621fc1882abf19743">24.54% regression</a> on 2024-08-09 05:59:06 in commit <a href="#1a68daa24a4840334027fd2621fc1882abf19743">1a68daa2</a>.<br> New value: 377M, old value: 303M.<br> - Latest value: 380M (62.48% worse + Latest value: 380M (62.49% worse than best value 234M).tag:uxarray.asv,2024-08-09:/76b6d635172bfafdba14ee64380069838d6355ed2e7cb6366a92568574e534cc55.24% face_bounds.FaceBounds.peakmem_face_bounds(PosixPath('/home/runner/work/uxarray/uxarray/test/meshfiles/mpas/QU/oQU480.231010.nc'))2024-08-09T06:04:48Z<a href="index.html#face_bounds.FaceBounds.peakmem_face_bounds?p-param1=PosixPath%28%27%2Fhome%2Frunner%2Fwork%2Fuxarray%2Fuxarray%2Ftest%2Fmeshfiles%2Fmpas%2FQU%2FoQU480.231010.nc%27%29&commits=1a68daa24a4840334027fd2621fc1882abf19743">55.24% regression</a> on 2024-08-09 05:59:06 in commit <a href="#1a68daa24a4840334027fd2621fc1882abf19743">1a68daa2</a>.<br> New value: 376M, old value: 242M.<br> - Latest value: 379M (57.54% worse + Latest value: 379M (57.55% worse than best value 241M).tag:uxarray.asv,2024-05-18:/29f6e53b04760f687cca5a7989caf8e968dce830ed189f52ee4aff044af746f228.90% mpas_ocean.Integrate.peakmem_integrate('480km')2024-07-18T01:19:38Z<a href="index.html#mpas_ocean.Integrate.peakmem_integrate?p-resolution=%27480km%27&commits=93cf4d9fd6d29fa8ed26d527ebe1724264da86d8">28.90% regression</a> on 2024-05-18 04:20:33 in commit <a href="#93cf4d9fd6d29fa8ed26d527ebe1724264da86d8">93cf4d9f</a>.<br> New value: 304M, old value: 236M.<br> Latest value: 354M (49.95% worse than best value 236M).tag:uxarray.asv,2024-05-18:/2b4a90f77871493096a5faf2e79f2ac1cd4d9caa5807fb2ca752c4ebfc759c0424.31% mpas_ocean.Integrate.peakmem_integrate('120km')2024-07-18T01:19:38Z<a href="index.html#mpas_ocean.Integrate.peakmem_integrate?p-resolution=%27120km%27&commits=93cf4d9fd6d29fa8ed26d527ebe1724264da86d8">24.31% regression</a> on 2024-05-18 04:20:33 in commit <a href="#93cf4d9fd6d29fa8ed26d527ebe1724264da86d8">93cf4d9f</a>.<br> New value: 321M, old value: 258M.<br> - Latest value: 370M (43.38% worse + Latest value: 370M (43.39% worse than best value 258M).tag:uxarray.asv,2024-05-18:/29f6e53b04760f687cca5a7989caf8e968dce830ed189f52ee4aff044af746f221.08% mpas_ocean.Integrate.peakmem_integrate('480km')2024-07-18T01:19:38Z<a href="index.html#mpas_ocean.Integrate.peakmem_integrate?p-resolution=%27480km%27&commits=93cf4d9fd6d29fa8ed26d527ebe1724264da86d8">21.08% regression</a> on 2024-05-18 04:20:33 in commit <a href="#93cf4d9fd6d29fa8ed26d527ebe1724264da86d8">93cf4d9f</a>.<br> New value: 278M, old value: 230M.<br> Latest value: 279M (21.45% worse than best value 230M).tag:uxarray.asv,2024-05-18:/2b4a90f77871493096a5faf2e79f2ac1cd4d9caa5807fb2ca752c4ebfc759c0417.82% mpas_ocean.Integrate.peakmem_integrate('120km')2024-07-18T01:19:38Z<a href="index.html#mpas_ocean.Integrate.peakmem_integrate?p-resolution=%27120km%27&commits=93cf4d9fd6d29fa8ed26d527ebe1724264da86d8">17.82% regression</a> on 2024-05-18 04:20:33 in commit <a href="#93cf4d9fd6d29fa8ed26d527ebe1724264da86d8">93cf4d9f</a>.<br> New value: 297M, old value: 252M.<br> Latest value: 297M (17.82% worse - than best value 252M).tag:uxarray.asv,2024-05-18:/d81ddbad1b1dc0d3894e939af22a545fa2a3648518abb2d296b276eb34236c2722123.85% face_bounds.FaceBounds.time_face_bounds(PosixPath('/home/runner/work/uxarray/uxarray/test/meshfiles/ugrid/quad-hexagon/grid.nc'))2024-07-18T01:17:45Z<a href="index.html#face_bounds.FaceBounds.time_face_bounds?p-param1=PosixPath%28%27%2Fhome%2Frunner%2Fwork%2Fuxarray%2Fuxarray%2Ftest%2Fmeshfiles%2Fugrid%2Fquad-hexagon%2Fgrid.nc%27%29&commits=93cf4d9fd6d29fa8ed26d527ebe1724264da86d8">22123.85% regression</a> on 2024-05-18 04:20:33 in commit <a href="#93cf4d9fd6d29fa8ed26d527ebe1724264da86d8">93cf4d9f</a>.<br> - New value: 7.78ms, old value: 35.0μs.<br> - Latest value: 7.78ms (22123.85% worse + than best value 252M).tag:uxarray.asv,2024-05-18:/d81ddbad1b1dc0d3894e939af22a545fa2a3648518abb2d296b276eb34236c2722094.14% face_bounds.FaceBounds.time_face_bounds(PosixPath('/home/runner/work/uxarray/uxarray/test/meshfiles/ugrid/quad-hexagon/grid.nc'))2024-07-18T01:17:45Z<a href="index.html#face_bounds.FaceBounds.time_face_bounds?p-param1=PosixPath%28%27%2Fhome%2Frunner%2Fwork%2Fuxarray%2Fuxarray%2Ftest%2Fmeshfiles%2Fugrid%2Fquad-hexagon%2Fgrid.nc%27%29&commits=93cf4d9fd6d29fa8ed26d527ebe1724264da86d8">22094.14% regression</a> on 2024-05-18 04:20:33 in commit <a href="#93cf4d9fd6d29fa8ed26d527ebe1724264da86d8">93cf4d9f</a>.<br> + New value: 7.77ms, old value: 35.0μs.<br> + Latest value: 7.77ms (22094.14% worse than best value 35.0μs).tag:uxarray.asv,2024-05-18:/d81ddbad1b1dc0d3894e939af22a545fa2a3648518abb2d296b276eb34236c27195120.69% face_bounds.FaceBounds.time_face_bounds(PosixPath('/home/runner/work/uxarray/uxarray/test/meshfiles/ugrid/quad-hexagon/grid.nc'))2024-07-18T01:17:45Z<a href="index.html#face_bounds.FaceBounds.time_face_bounds?p-param1=PosixPath%28%27%2Fhome%2Frunner%2Fwork%2Fuxarray%2Fuxarray%2Ftest%2Fmeshfiles%2Fugrid%2Fquad-hexagon%2Fgrid.nc%27%29&commits=93cf4d9fd6d29fa8ed26d527ebe1724264da86d8">195120.69% regression</a> on 2024-05-18 04:20:33 in commit <a href="#93cf4d9fd6d29fa8ed26d527ebe1724264da86d8">93cf4d9f</a>.<br> New value: 74.3ms, old value: 38.0μs.<br> Latest value: 74.3ms (195120.69% worse than best value 38.0μs).tag:uxarray.asv,2024-05-18:/9a7d2296f9cb1e3abbcc5fac1e12ac4ac51661ca38ce65c552361d8c68355e6429.89% face_bounds.FaceBounds.peakmem_face_bounds(PosixPath('/home/runner/work/uxarray/uxarray/test/meshfiles/ugrid/quad-hexagon/grid.nc'))2024-07-18T01:17:07Z<a href="index.html#face_bounds.FaceBounds.peakmem_face_bounds?p-param1=PosixPath%28%27%2Fhome%2Frunner%2Fwork%2Fuxarray%2Fuxarray%2Ftest%2Fmeshfiles%2Fugrid%2Fquad-hexagon%2Fgrid.nc%27%29&commits=93cf4d9fd6d29fa8ed26d527ebe1724264da86d8">29.89% regression</a> on 2024-05-18 04:20:33 in commit <a href="#93cf4d9fd6d29fa8ed26d527ebe1724264da86d8">93cf4d9f</a>.<br> New value: 304M, old value: 234M.<br> - Latest value: 379M (62.15% worse + Latest value: 379M (62.17% worse than best value 234M).tag:uxarray.asv,2024-05-18:/5d79c002e0ffa7ee925d010351bc53fc0dce914c5d5b80a16e73c3d16ce1008c25.50% face_bounds.FaceBounds.peakmem_face_bounds(PosixPath('/home/runner/work/uxarray/uxarray/test/meshfiles/ugrid/geoflow-small/grid.nc'))2024-07-18T01:17:07Z<a href="index.html#face_bounds.FaceBounds.peakmem_face_bounds?p-param1=PosixPath%28%27%2Fhome%2Frunner%2Fwork%2Fuxarray%2Fuxarray%2Ftest%2Fmeshfiles%2Fugrid%2Fgeoflow-small%2Fgrid.nc%27%29&commits=93cf4d9fd6d29fa8ed26d527ebe1724264da86d8">25.50% regression</a> on 2024-05-18 04:20:33 in commit <a href="#93cf4d9fd6d29fa8ed26d527ebe1724264da86d8">93cf4d9f</a>.<br> New value: 306M, old value: 244M.<br> - Latest value: 383M (57.18% worse + Latest value: 383M (57.19% worse than best value 244M).tag:uxarray.asv,2024-05-18:/91abb0843c99932dac1196202aff8eb509b4c7f551b40d13f1d26ab08d31c6b029.48% face_bounds.FaceBounds.peakmem_face_bounds(PosixPath('/home/runner/work/uxarray/uxarray/test/meshfiles/scrip/outCSne8/outCSne8.nc'))2024-07-18T01:17:07Z<a href="index.html#face_bounds.FaceBounds.peakmem_face_bounds?p-param1=PosixPath%28%27%2Fhome%2Frunner%2Fwork%2Fuxarray%2Fuxarray%2Ftest%2Fmeshfiles%2Fscrip%2FoutCSne8%2FoutCSne8.nc%27%29&commits=93cf4d9fd6d29fa8ed26d527ebe1724264da86d8">29.48% regression</a> on 2024-05-18 04:20:33 in commit <a href="#93cf4d9fd6d29fa8ed26d527ebe1724264da86d8">93cf4d9f</a>.<br> New value: 303M, old value: 234M.<br> - Latest value: 380M (62.48% worse + Latest value: 380M (62.49% worse than best value 234M).tag:uxarray.asv,2024-05-18:/9a7d2296f9cb1e3abbcc5fac1e12ac4ac51661ca38ce65c552361d8c68355e6422.30% face_bounds.FaceBounds.peakmem_face_bounds(PosixPath('/home/runner/work/uxarray/uxarray/test/meshfiles/ugrid/quad-hexagon/grid.nc'))2024-07-18T01:17:07Z<a href="index.html#face_bounds.FaceBounds.peakmem_face_bounds?p-param1=PosixPath%28%27%2Fhome%2Frunner%2Fwork%2Fuxarray%2Fuxarray%2Ftest%2Fmeshfiles%2Fugrid%2Fquad-hexagon%2Fgrid.nc%27%29&commits=93cf4d9fd6d29fa8ed26d527ebe1724264da86d8">22.30% regression</a> on 2024-05-18 04:20:33 in commit <a href="#93cf4d9fd6d29fa8ed26d527ebe1724264da86d8">93cf4d9f</a>.<br> New value: 278M, old value: 227M.<br> Latest value: 279M (22.66% worse @@ -52,10 +52,10 @@ Latest value: 354M (49.95% worse than best value 236M).tag:uxarray.asv,2024-07-17:/602f28d82f8f3cd8b7c15c5ba1b97f56677cf92671399be2015feb6e29884a6612.88% mpas_ocean.Integrate.peakmem_integrate('120km')2024-07-17T22:10:45Z<a href="index.html#mpas_ocean.Integrate.peakmem_integrate?p-resolution=%27120km%27&commits=0cbbc9240e1a3ec9506321bf04cf9f53f355d9eb">12.88% regression</a> on 2024-07-17 21:42:21 in commit <a href="#0cbbc9240e1a3ec9506321bf04cf9f53f355d9eb">0cbbc924</a>.<br> New value: 364M, old value: 323M.<br> - Latest value: 370M (43.38% worse - than best value 258M).tag:uxarray.asv,2024-07-17:/cfb3c8cd3f38b59effec8b595663bca10e52f76825aefbf4a1d82ed08870e2d29.90% mpas_ocean.GeoDataFrame.peakmem_to_geodataframe('480km', True)2024-07-17T22:09:58Z<a href="index.html#mpas_ocean.GeoDataFrame.peakmem_to_geodataframe?p-resolution=%27480km%27&p-exclude_antimeridian=True&commits=0cbbc9240e1a3ec9506321bf04cf9f53f355d9eb">9.90% regression</a> on 2024-07-17 21:42:21 in commit <a href="#0cbbc9240e1a3ec9506321bf04cf9f53f355d9eb">0cbbc924</a>.<br> + Latest value: 370M (43.39% worse + than best value 258M).tag:uxarray.asv,2024-07-17:/cfb3c8cd3f38b59effec8b595663bca10e52f76825aefbf4a1d82ed08870e2d29.97% mpas_ocean.GeoDataFrame.peakmem_to_geodataframe('480km', True)2024-07-17T22:09:58Z<a href="index.html#mpas_ocean.GeoDataFrame.peakmem_to_geodataframe?p-resolution=%27480km%27&p-exclude_antimeridian=True&commits=0cbbc9240e1a3ec9506321bf04cf9f53f355d9eb">9.97% regression</a> on 2024-07-17 21:42:21 in commit <a href="#0cbbc9240e1a3ec9506321bf04cf9f53f355d9eb">0cbbc924</a>.<br> New value: 354M, old value: 322M.<br> - Latest value: 361M (12.09% worse + Latest value: 361M (12.08% worse than best value 322M).tag:uxarray.asv,2024-07-17:/669645e52c2a57e3646478e5fb97c97df656508cc180f9042a8e156661360e3e9.91% mpas_ocean.GeoDataFrame.peakmem_to_geodataframe('480km', False)2024-07-17T22:09:58Z<a href="index.html#mpas_ocean.GeoDataFrame.peakmem_to_geodataframe?p-resolution=%27480km%27&p-exclude_antimeridian=False&commits=0cbbc9240e1a3ec9506321bf04cf9f53f355d9eb">9.91% regression</a> on 2024-07-17 21:42:21 in commit <a href="#0cbbc9240e1a3ec9506321bf04cf9f53f355d9eb">0cbbc924</a>.<br> New value: 355M, old value: 323M.<br> Latest value: 362M (11.94% worse @@ -65,9 +65,9 @@ than best value 350M).tag:uxarray.asv,2024-07-17:/f7ddb6bfeb788d35593dfba457c20a3ab6307e84f5df88ebd8099f5df7a276ce7.07% mpas_ocean.GeoDataFrame.peakmem_to_geodataframe('120km', False)2024-07-17T22:09:58Z<a href="index.html#mpas_ocean.GeoDataFrame.peakmem_to_geodataframe?p-resolution=%27120km%27&p-exclude_antimeridian=False&commits=0cbbc9240e1a3ec9506321bf04cf9f53f355d9eb">7.07% regression</a> on 2024-07-17 21:42:21 in commit <a href="#0cbbc9240e1a3ec9506321bf04cf9f53f355d9eb">0cbbc924</a>.<br> New value: 398M, old value: 372M.<br> Latest value: 398M (7.07% worse - than best value 372M).tag:uxarray.asv,2024-07-17:/effcb6cdfdb4d135936fe78ea2e8002aab66eb4e0d5713e9b295705c95228f8b8957.23% mpas_ocean.ConnectivityConstruction.time_n_nodes_per_face('480km')2024-07-17T22:09:49Z<a href="index.html#mpas_ocean.ConnectivityConstruction.time_n_nodes_per_face?p-resolution=%27480km%27&commits=0cbbc9240e1a3ec9506321bf04cf9f53f355d9eb">8957.23% regression</a> on 2024-07-17 21:42:21 in commit <a href="#0cbbc9240e1a3ec9506321bf04cf9f53f355d9eb">0cbbc924</a>.<br> + than best value 372M).tag:uxarray.asv,2024-07-17:/effcb6cdfdb4d135936fe78ea2e8002aab66eb4e0d5713e9b295705c95228f8b8942.41% mpas_ocean.ConnectivityConstruction.time_n_nodes_per_face('480km')2024-07-17T22:09:49Z<a href="index.html#mpas_ocean.ConnectivityConstruction.time_n_nodes_per_face?p-resolution=%27480km%27&commits=0cbbc9240e1a3ec9506321bf04cf9f53f355d9eb">8942.41% regression</a> on 2024-07-17 21:42:21 in commit <a href="#0cbbc9240e1a3ec9506321bf04cf9f53f355d9eb">0cbbc924</a>.<br> New value: 481μs, old value: 5.32μs.<br> - Latest value: 481μs (8957.23% worse + Latest value: 481μs (8942.41% worse than best value 5.32μs).tag:uxarray.asv,2024-07-17:/25cd726b9b96db6cb9080dab10fe7630d958e64568b30182cd73fbf44e29129d31280.36% mpas_ocean.ConnectivityConstruction.time_n_nodes_per_face('120km')2024-07-17T22:09:49Z<a href="index.html#mpas_ocean.ConnectivityConstruction.time_n_nodes_per_face?p-resolution=%27120km%27&commits=0cbbc9240e1a3ec9506321bf04cf9f53f355d9eb">31280.36% regression</a> on 2024-07-17 21:42:21 in commit <a href="#0cbbc9240e1a3ec9506321bf04cf9f53f355d9eb">0cbbc924</a>.<br> New value: 1.81ms, old value: 5.77μs.<br> Latest value: 1.81ms (31280.36% worse