def test_all(type, shape):
size = 1
for i in range(len(shape)):
size *= shape[i]
for i in range(2**size):
t = i
a = numpy.empty(size, dtype=type)
for j in range(size):
a[j] = 0 if t % 2 == 0 else j + 1
t = t >> 1
a = a.reshape(shape)
ia = dpnp.array(a)
np_res = numpy.all(a)
dpnp_res = dpnp.all(ia)
numpy.testing.assert_allclose(dpnp_res, np_res)
np_res = a.all()
dpnp_res = ia.all()
numpy.testing.assert_allclose(dpnp_res, np_res)
def test_imag_inplace(self, dtype):
x = cupy.zeros((2, 3), dtype=dtype)
# TODO(kmaehashi) The following line should raise error for real
# dtypes, but currently ignored silently.
x.imag[:] = 1
expected = cupy.zeros(
(2, 3), dtype=dtype) + (1j if x.dtype.kind == 'c' else 0)
assert cupy.all(x == expected)
def all(self, axis=None, out=None, keepdims=False):
"""
Returns True if all elements evaluate to True.
Refer to `numpy.all` for full documentation.
See Also
--------
:obj:`numpy.all` : equivalent function
"""
return dpnp.all(self, axis, out, keepdims)
def test_real_inplace(self, dtype):
x = cupy.zeros((2, 3), dtype=dtype)
x.real[:] = 1
expected = cupy.ones((2, 3), dtype=dtype)
assert cupy.all(x == expected)