e8aff8a890da8670ea8af8783caf3984c4dde558,dipy/align/tests/test_transforms.py,,test_param_to_matrix_3d,#,99

Before Change

    // Verify that ValueError is raised if the transform are invalid
    dim = 3
    theta = np.ndarray(2)
    assert_raises(ValueError, param_to_matrix, -1, dim, theta)

    // Verify that ValueError is raised if incorrect number of parameters
    for transform in transform_type.keys():

After Change

    assert_array_almost_equal(actual, expected)

    // Test affine 2D
    transform = regtransforms[("AFFINE", 3)]
    theta = np.random.rand(12)
    expected = np.eye(4)
    expected[0,:] = theta[:4]

Instances