From 94d056982ddbfd550391b19f1071de0b49c5be44 Mon Sep 17 00:00:00 2001 From: philipc2 Date: Sat, 14 Sep 2024 16:11:12 +0000 Subject: [PATCH] deploy: 528fc25ee23b01d942605f3f900ce1512fec6e38 --- .../xarray/face_bounds.FaceBounds.peakmem_face_bounds.json | 2 +- .../xarray/face_bounds.FaceBounds.time_face_bounds.json | 2 +- .../xarray/import.Imports.timeraw_import_uxarray.json | 2 +- ...an.ConnectivityConstruction.time_face_face_connectivity.json | 2 +- ...as_ocean.ConnectivityConstruction.time_n_nodes_per_face.json | 2 +- .../mpas_ocean.ConstructTreeStructures.time_ball_tree.json | 2 +- .../xarray/mpas_ocean.ConstructTreeStructures.time_kd_tree.json | 2 +- .../xarray/mpas_ocean.GeoDataFrame.peakmem_to_geodataframe.json | 2 +- .../xarray/mpas_ocean.GeoDataFrame.time_to_geodataframe.json | 2 +- .../xarray/mpas_ocean.Gradient.peakmem_gradient.json | 2 +- .../xarray/mpas_ocean.Gradient.time_gradient.json | 2 +- ..._ocean.HoleEdgeIndices.time_construct_hole_edge_indices.json | 2 +- .../xarray/mpas_ocean.Integrate.peakmem_integrate.json | 2 +- .../xarray/mpas_ocean.Integrate.time_integrate.json | 2 +- ...n.MatplotlibConversion.time_dataarray_to_polycollection.json | 2 +- ...emapDownsample.time_inverse_distance_weighted_remapping.json | 2 +- ...s_ocean.RemapDownsample.time_nearest_neighbor_remapping.json | 2 +- ....RemapUpsample.time_inverse_distance_weighted_remapping.json | 2 +- ...pas_ocean.RemapUpsample.time_nearest_neighbor_remapping.json | 2 +- .../xarray/quad_hexagon.QuadHexagon.peakmem_open_dataset.json | 2 +- .../xarray/quad_hexagon.QuadHexagon.peakmem_open_grid.json | 2 +- .../xarray/quad_hexagon.QuadHexagon.time_open_dataset.json | 2 +- .../xarray/quad_hexagon.QuadHexagon.time_open_grid.json | 2 +- .../python-3.11/ram-7GB/setuptools_scm/xarray/summary.json | 2 +- graphs/summary/face_bounds.FaceBounds.peakmem_face_bounds.json | 2 +- graphs/summary/face_bounds.FaceBounds.time_face_bounds.json | 2 +- graphs/summary/import.Imports.timeraw_import_uxarray.json | 2 +- ...an.ConnectivityConstruction.time_face_face_connectivity.json | 2 +- ...as_ocean.ConnectivityConstruction.time_n_nodes_per_face.json | 2 +- .../mpas_ocean.ConstructTreeStructures.time_ball_tree.json | 2 +- .../mpas_ocean.ConstructTreeStructures.time_kd_tree.json | 2 +- .../mpas_ocean.GeoDataFrame.peakmem_to_geodataframe.json | 2 +- .../summary/mpas_ocean.GeoDataFrame.time_to_geodataframe.json | 2 +- graphs/summary/mpas_ocean.Gradient.peakmem_gradient.json | 2 +- graphs/summary/mpas_ocean.Gradient.time_gradient.json | 2 +- ..._ocean.HoleEdgeIndices.time_construct_hole_edge_indices.json | 2 +- graphs/summary/mpas_ocean.Integrate.peakmem_integrate.json | 2 +- graphs/summary/mpas_ocean.Integrate.time_integrate.json | 2 +- ...n.MatplotlibConversion.time_dataarray_to_polycollection.json | 2 +- ...emapDownsample.time_inverse_distance_weighted_remapping.json | 2 +- ...s_ocean.RemapDownsample.time_nearest_neighbor_remapping.json | 2 +- ....RemapUpsample.time_inverse_distance_weighted_remapping.json | 2 +- ...pas_ocean.RemapUpsample.time_nearest_neighbor_remapping.json | 2 +- .../summary/quad_hexagon.QuadHexagon.peakmem_open_dataset.json | 2 +- graphs/summary/quad_hexagon.QuadHexagon.peakmem_open_grid.json | 2 +- graphs/summary/quad_hexagon.QuadHexagon.time_open_dataset.json | 2 +- graphs/summary/quad_hexagon.QuadHexagon.time_open_grid.json | 2 +- index.json | 2 +- info.json | 2 +- regressions.json | 2 +- 50 files changed, 50 insertions(+), 50 deletions(-) diff --git a/graphs/arch-x64/branch-main/cpu-2-core unknown/machine-GH-Actions/netcdf4/os-ubuntu-latest/pip+pyfma/python-3.11/ram-7GB/setuptools_scm/xarray/face_bounds.FaceBounds.peakmem_face_bounds.json b/graphs/arch-x64/branch-main/cpu-2-core unknown/machine-GH-Actions/netcdf4/os-ubuntu-latest/pip+pyfma/python-3.11/ram-7GB/setuptools_scm/xarray/face_bounds.FaceBounds.peakmem_face_bounds.json index 14030556..3f6bac9c 100644 --- a/graphs/arch-x64/branch-main/cpu-2-core unknown/machine-GH-Actions/netcdf4/os-ubuntu-latest/pip+pyfma/python-3.11/ram-7GB/setuptools_scm/xarray/face_bounds.FaceBounds.peakmem_face_bounds.json +++ b/graphs/arch-x64/branch-main/cpu-2-core unknown/machine-GH-Actions/netcdf4/os-ubuntu-latest/pip+pyfma/python-3.11/ram-7GB/setuptools_scm/xarray/face_bounds.FaceBounds.peakmem_face_bounds.json @@ -1 +1 @@ -[[3643, [303325184.0, 306528256.0, 302940160.0, 303169536.0]], [3644, [303316992.0, 306659328.0, 302931968.0, 303169536.0]], [3645, [303357952.0, 306692096.0, 302993408.0, 303075328.0]], [3646, [303431680.0, 306769920.0, 303050752.0, 303280128.0]], [3647, [303292416.0, 306626560.0, 302948352.0, 303161344.0]], [3666, [303427584.0, 306761728.0, 302907392.0, 303276032.0]], [3675, [303394816.0, 306597888.0, 302788608.0, 303140864.0]], [3677, [303431680.0, 306634752.0, 302780416.0, 303157248.0]], [3710, [303321088.0, 306786304.0, 302972928.0, 303054848.0]], [3713, [303431680.0, 306769920.0, 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["", "3.11"], "setuptools_scm": ["", null], "xarray": ["", null], "netcdf4": ["", null], "pip+pyfma": ["", null], "branch": ["main"]}, "graph_param_list": [{"arch": "x64", "cpu": "2-core unknown", "machine": "GH-Actions", "os": "ubuntu-latest", "ram": "7GB", "python": "3.11", "setuptools_scm": "", "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.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}}, "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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["", "3.11"], "setuptools_scm": ["", null], "xarray": ["", null], "netcdf4": ["", null], "pip+pyfma": ["", null], "branch": ["main"]}, "graph_param_list": [{"arch": "x64", "cpu": "2-core unknown", "machine": "GH-Actions", "os": "ubuntu-latest", "ram": "7GB", "python": "3.11", "setuptools_scm": "", "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.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}}, "machines": {"philipc2-desktop": {"arch": "AMD64", "cpu": "12th Gen Intel(R) Core(TM) i7-12700K", "machine": "philipc2-desktop", "num_cpu": "20", "os": "Windows 11", "ram": "32", "version": 1}, "GH-Actions": {"arch": "x64", "cpu": "2-core unknown", "machine": "GH-Actions", "os": "ubuntu-latest", "ram": "7GB", 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