@staticmethod
@pytest.mark.parametrize(
"data",
(
[1.0],
[2.0, 3, 4],
[-1, np.nan, np.inf],
),
)
def test_exp(backend_class, data):
# Arrange
backend = backend_class(double_precision=True)
output = backend.Storage.from_ndarray(np.asarray(data))
# Act
output.exp()
# Assert
> np.testing.assert_array_equal(output.to_ndarray(), np.exp(data))
tests/unit_tests/backends/storage/test_basic_ops.py:46:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
args = (<built-in function eq>, array([0.36787944, nan, inf]), array([0.36787944, nan, inf]))
kwds = {'err_msg': '', 'header': 'Arrays are not equal', 'strict': False, 'verbose': True}
@wraps(func)
def inner(*args, **kwds):
with self._recreate_cm():
> return func(*args, **kwds)
^^^^^^^^^^^^^^^^^^^
E AssertionError:
E Arrays are not equal
E
E Mismatched elements: 1 / 3 (33.3%)
E Max absolute difference: 5.55111512e-17
E Max relative difference: 1.50894954e-16
E x: array([0.367879, nan, inf])
E y: array([0.367879, nan, inf])
