from cupy import _core import cupy def _create_float_test_ufunc(name, doc): return _core.create_ufunc( 'cupy_' + name, ('e->?', 'f->?', 'd->?', 'F->?', 'D->?', ), 'out0 = %s(in0)' % name, doc=doc) isfinite = _create_float_test_ufunc( 'isfinite', '''Tests finiteness elementwise. Each element of returned array is ``True`` only if the corresponding element of the input is finite (i.e. not an infinity nor NaN). .. seealso:: :data:`numpy.isfinite` ''') isinf = _create_float_test_ufunc( 'isinf', '''Tests if each element is the positive or negative infinity. .. seealso:: :data:`numpy.isinf` ''') isnan = _create_float_test_ufunc( 'isnan', '''Tests if each element is a NaN. .. seealso:: :data:`numpy.isnan` ''') def isneginf(x, out=None): """Test element-wise for negative infinity, return result as bool array. Parameters ---------- x : cupy.ndarray Input array. out : cupy.ndarray, optional A location into which the result is stored. If provided, it should have a shape that input broadcasts to. By default, None, a freshly- allocated boolean array, is returned. Returns ------- y : cupy.ndarray Boolean array of same shape as ``x``. Examples -------- >>> cupy.isneginf(0) array(False) >>> cupy.isneginf(-cupy.inf) array(True) >>> cupy.isneginf(cupy.array([-cupy.inf, -4, cupy.nan, 0, 4, cupy.inf])) array([ True, False, False, False, False, False]) See Also -------- numpy.isneginf """ is_inf = isinf(x) try: signbit = cupy.signbit(x) except TypeError as e: dtype = x.dtype raise TypeError(f'This operation is not supported for {dtype} values ' 'because it would be ambiguous.') from e # TODO(khushi-411): Use `out` instead of `out=out` (see #6393) return cupy.logical_and(is_inf, signbit, out=out) def isposinf(x, out=None): """Test element-wise for positive infinity, return result as bool array. Parameters ---------- x : cupy.ndarray Input array. out : cupy.ndarray A location into which the result is stored. If provided, it should have a shape that input broadcasts to. By default, None, a freshly- allocated boolean array, is returned. Returns ------- y : cupy.ndarray Boolean array of same shape as ``x``. Examples -------- >>> cupy.isposinf(0) array(False) >>> cupy.isposinf(cupy.inf) array(True) >>> cupy.isposinf(cupy.array([-cupy.inf, -4, cupy.nan, 0, 4, cupy.inf])) array([False, False, False, False, False, True]) See Also -------- numpy.isposinf """ is_inf = isinf(x) try: signbit = ~cupy.signbit(x) except TypeError as e: dtype = x.dtype raise TypeError(f'This operation is not supported for {dtype} values ' 'because it would be ambiguous.') from e # TODO(khushi-411): Use `out` instead of `out=out` (see #6393) return cupy.logical_and(is_inf, signbit, out=out)