def test_deactivate_transform_precision_error():
A2B = np.eye(4)
A2B[0, 0] = 2.0
A2B[3, 0] = 3.0
assert_raises_regexp(ValueError, "Expected rotation matrix",
check_transform, A2B)
if int(platform.python_version()[0]) == 2:
# Python 2 seems to incorrectly suppress some warnings, not sure why
n_expected_warnings = 2
else:
n_expected_warnings = 3
try:
warnings.filterwarnings("always", category=UserWarning)
with warnings.catch_warnings(record=True) as w:
check_transform(A2B, strict_check=False)
assert_equal(len(w), n_expected_warnings)
finally:
warnings.filterwarnings("default", category=UserWarning)
def test_check_transform():
"""Test input validation for transformation matrix."""
A2B = np.eye(3)
assert_raises_regexp(
ValueError, "Expected homogeneous transformation matrix with shape",
check_transform, A2B)
A2B = np.eye(4, dtype=int)
A2B = check_transform(A2B)
assert_equal(type(A2B), np.ndarray)
assert_equal(A2B.dtype, np.float64)
A2B[:3, :3] = np.array([[1, 1, 1], [0, 0, 0], [2, 2, 2]])
assert_raises_regexp(ValueError, "rotation matrix", check_transform, A2B)
A2B = np.eye(4)
A2B[3, :] = np.array([0.1, 0.0, 0.0, 1.0])
assert_raises_regexp(ValueError, "homogeneous transformation matrix",
check_transform, A2B)
random_state = np.random.RandomState(0)
A2B = random_transform(random_state)
A2B2 = check_transform(A2B)
assert_array_almost_equal(A2B, A2B2)
