Edit: test_elementwise_functions.py
from inspect import getfullargspec from numpy.testing import assert_raises from .. import asarray, _elementwise_functions from .._elementwise_functions import bitwise_left_shift, bitwise_right_shift from .._dtypes import ( _dtype_categories, _boolean_dtypes, _floating_dtypes, _integer_dtypes, ) def nargs(func): return len(getfullargspec(func).args) def test_function_types(): # Test that every function accepts only the required input types. We only # test the negative cases here (error). The positive cases are tested in # the array API test suite. elementwise_function_input_types = { "abs": "numeric", "acos": "floating-point", "acosh": "floating-point", "add": "numeric", "asin": "floating-point", "asinh": "floating-point", "atan": "floating-point", "atan2": "real floating-point", "atanh": "floating-point", "bitwise_and": "integer or boolean", "bitwise_invert": "integer or boolean", "bitwise_left_shift": "integer", "bitwise_or": "integer or boolean", "bitwise_right_shift": "integer", "bitwise_xor": "integer or boolean", "ceil": "real numeric", "conj": "complex floating-point", "cos": "floating-point", "cosh": "floating-point", "divide": "floating-point", "equal": "all", "exp": "floating-point", "expm1": "floating-point", "floor": "real numeric", "floor_divide": "real numeric", "greater": "real numeric", "greater_equal": "real numeric", "imag": "complex floating-point", "isfinite": "numeric", "isinf": "numeric", "isnan": "numeric", "less": "real numeric", "less_equal": "real numeric", "log": "floating-point", "logaddexp": "real floating-point", "log10": "floating-point", "log1p": "floating-point", "log2": "floating-point", "logical_and": "boolean", "logical_not": "boolean", "logical_or": "boolean", "logical_xor": "boolean", "multiply": "numeric", "negative": "numeric", "not_equal": "all", "positive": "numeric", "pow": "numeric", "real": "complex floating-point", "remainder": "real numeric", "round": "numeric", "sign": "numeric", "sin": "floating-point", "sinh": "floating-point", "sqrt": "floating-point", "square": "numeric", "subtract": "numeric", "tan": "floating-point", "tanh": "floating-point", "trunc": "real numeric", } def _array_vals(): for d in _integer_dtypes: yield asarray(1, dtype=d) for d in _boolean_dtypes: yield asarray(False, dtype=d) for d in _floating_dtypes: yield asarray(1.0, dtype=d) for x in _array_vals(): for func_name, types in elementwise_function_input_types.items(): dtypes = _dtype_categories[types] func = getattr(_elementwise_functions, func_name) if nargs(func) == 2: for y in _array_vals(): if x.dtype not in dtypes or y.dtype not in dtypes: assert_raises(TypeError, lambda: func(x, y)) else: if x.dtype not in dtypes: assert_raises(TypeError, lambda: func(x)) def test_bitwise_shift_error(): # bitwise shift functions should raise when the second argument is negative assert_raises( ValueError, lambda: bitwise_left_shift(asarray([1, 1]), asarray([1, -1])) ) assert_raises( ValueError, lambda: bitwise_right_shift(asarray([1, 1]), asarray([1, -1])) )
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