958eeaaa462b1c7f8f98dea8ba2cec5cf6ab32d8,nilearn/input_data/tests/test_nifti_spheres_masker.py,,test_sphere_extraction,#,19

Before Change

    masker.fit()
    // Test the transform
    s = masker.transform(img)
    mask = np.asarray(
        [
            [
                [0, 0, 0],
                [0, 1, 0],
                [0, 0, 0]
            ],
            [
                [0, 1, 0],
                [1, 1, 1],
                [0, 1, 0]
            ],
            [
                [0, 0, 0],
                [0, 1, 0],
                [0, 0, 0]
            ]
        ], dtype=bool
    )
    assert_array_equal(s[:, 0], np.mean(data[mask], axis=0))

def test_anisotropic_sphere_extraction():
    data = np.random.random((3, 3, 3, 5))

After Change

    mask[1, 1, :] = True
    assert_array_equal(s[:, 0], np.mean(data[mask], axis=0))
    // Now with a mask
    mask_img = np.zeros((3, 3, 3))
    mask_img[1, :, :] = 1
    mask_img = nibabel.Nifti1Image(mask_img, np.eye(4))
    masker = NiftiSpheresMasker([(1, 1, 1)], radius=1, mask_img=mask_img)
    masker.fit()
    s = masker.transform(img)
    assert_array_equal(s[:, 0],
                       np.mean(data[np.logical_and(mask, mask_img.get_data())],

Instances