e8aff8a890da8670ea8af8783caf3984c4dde558,dipy/align/tests/test_transforms.py,,test_number_of_parameters,#,14

Before Change

    expected_2d = [2, 1, 3, 1, 6]
    expected_3d = [3, 3, 6, 1, 12]

    actual_2d = []
    actual_3d = []
    for transform in transforms:
        t = transform_type[transform]
        actual_2d.append(number_of_parameters(t, 2))
        actual_3d.append(number_of_parameters(t, 3))

    assert_array_equal(actual_2d, expected_2d)
    assert_array_equal(actual_3d, expected_3d)

After Change

                       ("AFFINE", 2) : 6,
                       ("AFFINE", 3) : 12}

    for ttype, transform in regtransforms.iteritems():
        assert_equal(transform.get_number_of_parameters(), expected_params[ttype])


def test_param_to_matrix_2d():
    // Test translation matrix 2D
    transform = regtransforms[("TRANSLATION", 2)]
    dx, dy = np.random.rand(), np.random.rand()

Instances