b5b4a8a1488e8bd72a99b3969e85068da0fab975,nilearn/image/image.py,,crop_img,#Any#Any#Any#,180

Before Change

    niimg = check_niimg(niimg)
    data = niimg.get_data()
    absdata = np.abs(data)
    infty_norm = absdata.max()

    coords = np.array(np.where(absdata > rtol * infty_norm))
    start = coords.min(axis=1)
    end = coords.max(axis=1) + 1

After Change

    niimg = check_niimg(niimg)
    data = niimg.get_data()
    infinity_norm = max(-data.min(), data.max())
    passes_threshold_above = data > rtol * infinity_norm
    passes_threshold_below = data < -rtol * infinity_norm

    coords = np.array(np.where(
            np.logical_or(passes_threshold_above,
                          passes_threshold_below)))

Instances