5bbc59dcbab7aac152224ff710ec3fa22bd2ea27,nilearn/input_data/nifti_spheres_masker.py,,_signals_from_seeds,#Any#Any#Any#,22

Before Change

        // Compute square distance to the seed
        dist = ((coords - seed[:, None, None, None]) ** 2).sum(axis=0)
        if radius is None or radius ** 2 < np.min(dist):
            signal[:, i] = signals[np.argmin(dist)]
        else:
            mask = (dist <= radius ** 2)
            signals[:, i] = np.mean(signals[mask], axis=0)
    return signals

After Change

        dist = ((coords - seed[:, None, None, None]) ** 2).sum(axis=0)
        if radius is None or radius ** 2 < np.min(dist):
            signals[:, i] = niimg.get_data()[
                    np.unravel_index(np.argmin(dist), dist.shape)]
        else:
            mask = (dist <= radius ** 2)
            signals[:, i] = np.mean(niimg.get_data()[mask], axis=0)

Instances