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Searched refs:Path (Results 1 – 10 of 10) sorted by relevance

/honee/tests/
H A Djunit.py57 def get_source_path(self, test: str) -> Path:
67 return (Path('examples') / 'navierstokes').with_suffix('.c')
69 return (Path('tests') / test).with_suffix('.c')
72 def get_run_path(self, test: str) -> Path:
81 return Path('build') / test
83 def get_output_path(self, test: str, output_file: str) -> Path:
93 return Path('tests') / 'output' / output_file
164 has_smartsim: bool = args.smartredis_dir and Path(args.smartredis_dir).is_dir()
166 test_directory = Path(__file__).parent / 'smartsim_test_dir'
H A Djunit_common.py10 from pathlib import Path
19 sys.path.insert(0, str(Path(__file__).parent / "junit-xml"))
88 def get_source_path(self, test: str) -> Path:
100 def get_run_path(self, test: str) -> Path:
112 def get_output_path(self, test: str, output_file: str) -> Path:
125 def test_failure_artifacts_path(self) -> Path:
127 return Path('build') / 'test_failure_artifacts'
375 def get_test_args(source_file: Path) -> List[TestSpec]: argument
404 def diff_csv(test_csv: Path, true_csv: Path, zero_tol: float, rel_tol: float, argument
481 def diff_cgns(test_cgns: Path, true_cgns: Path, cgns_tol: float) -> str: argument
[all …]
H A Dsmartsim_regression_framework.py7 from pathlib import Path
19 sys.path.insert(0, (Path(__file__).parents[3] / "tests/junit-xml").as_posix())
24 file_dir = Path(__file__).parent.absolute()
25 test_output_dir = Path(__file__).parent.absolute() / 'output'
79 database_output_path = Path(
88 def __init__(self, directory_path: Path): argument
91 self.directory_path: Path = directory_path
92 self.original_path: Path
96 self.original_path = Path(os.getcwd())
/honee/
H A Dpytorch_pkgconfig.py4 from pathlib import Path
10 build_dir = Path('./build')
27 variables['prefix'] = Path(C.library_paths()[0]).parent.as_posix()
39 torchCMakePath = Path(tutils.cmake_prefix_path) / 'Torch/TorchConfig.cmake'
58 torch_cuda_path = Path(lib_path) / 'libtorch_cuda.so'
H A Dconf.py27 from pathlib import Path
73 with open(Path('AUTHORS')) as f:
/honee/examples/
H A DstdoutParsing.py6 from pathlib import Path
49 runlogDir = Path("./")
/honee/tests/createPyTorchModel/
H A Dupdate_weights.py4 from pathlib import Path
8 new_parameters_Path = Path('../../dd_sgs_data')
/honee/doc/
H A Dtheory.md482 - Path to directory with data-driven model parameters (weights, biases, etc.)
492 - Path to the PyTorch `*.pt` file containing the DD inference model
664 - Path to the STGInflow file
669 - Path to the STGRand file
H A Druntime_options.md125 - Path to file from which to continue from. Either binary file or CGNS
H A Dexamples.md291 - Path to file with y node locations. If empty, will use mesh warping instead.