@_test_op def _to_i64(x: Number) -> Int[64]: return int(x) infer_pipeline = scalar_pipeline.select('parse', 'infer').configure({ 'py_implementations': pyimpl_test, 'inferrer.constructors': abstract_inferrer_cons_test, }) infer_pipeline_std = standard_pipeline.select('parse', 'infer').configure({ 'py_implementations': pyimpl_test, 'inferrer.constructors': abstract_inferrer_cons_test, }) def _is_exc_type(cls): return isinstance(cls, type) and issubclass(cls, Exception) def inferrer_decorator(pipeline): def infer(*tests): tests = [[to_abstract_test(x) for x in test] for test in tests] def decorate(fn): def run_test(spec):
@overload # noqa: F811 def eqtest(x: type(None), y, **kwargs): if y is None: return True else: return (y == 0).all() @overload # noqa: F811 def eqtest(x: object, y, **kwargs): return x == y infer_pipeline = standard_pipeline.select('resources', 'parse', 'infer') class Multiple: def __init__(self, *params, **options): self.options = [] for i, param in enumerate(params): assert isinstance(param, ParameterSet) self.options.append((self, param.id, param.marks, param.values[0])) self.options += [(self, id, [], v) for id, v in options.items()] def mt(*tests, **kwargs): """Multitest. All MyiaFunctionTest instances in the list of tests will be run on the same
@overload # noqa: F811 def eqtest(x: type(None), y, **kwargs): if y is None: return True else: return (y == 0).all() @overload # noqa: F811 def eqtest(x: object, y, **kwargs): return x == y infer_pipeline = standard_pipeline.select("resources", "parse", "infer") class Multiple: def __init__(self, *params, **options): self.options = [] for i, param in enumerate(params): assert isinstance(param, ParameterSet) self.options.append((self, param.id, param.marks, param.values[0])) self.options += [(self, id, [], v) for id, v in options.items()] def mt(*tests, **kwargs): """Multitest. All MyiaFunctionTest instances in the list of tests will be run on the same
10, 'inferrer.tracks.value.constructors': value_inferrer_cons_test, 'inferrer.tracks.type.constructors': type_inferrer_cons_test, 'inferrer.tracks.shape.constructors': shape_inferrer_cons_test, }) infer_pipeline_std = standard_pipeline.select('parse', 'infer').configure({ 'py_implementations': pyimpl_test, 'inferrer.erase_value': False, 'inferrer.tracks.value.max_depth': 10, 'inferrer.tracks.value.constructors': value_inferrer_cons_test, 'inferrer.tracks.type.constructors': type_inferrer_cons_test, 'inferrer.tracks.shape.constructors': shape_inferrer_cons_test, }) def _is_exc_type(cls): return isinstance(cls, type) and issubclass(cls, Exception) def parse_test_spec(tests_spec): tests = []