def supersample(clip, d, n_frames):
    'Replaces each frame at time t by the mean of `n_frames` equally spaced frames\n    taken in the interval [t-d, t+d]. This results in motion blur.\n    '

    def filter(get_frame, t):
        timings = np.linspace((t - d), (t + d), n_frames)
        frame_average = np.mean((1.0 * np.array([get_frame(t_) for t_ in timings], dtype='uint16')), axis=0)
        return frame_average.astype('uint8')
    return clip.transform(filter)
Replaces each frame at time t by the mean of `n_frames` equally spaced frames
taken in the interval [t-d, t+d]. This results in motion blur.
def supersample(clip, d, n_frames):
    'Replaces each frame at time t by the mean of `n_frames` equally spaced frames\n    taken in the interval [t-d, t+d]. This results in motion blur.\n    '

    def filter(get_frame, t):
        timings = np.linspace((t - d), (t + d), n_frames)
        frame_average = np.mean((1.0 * np.array([get_frame(t_) for t_ in timings], dtype='uint16')), axis=0)
        return frame_average.astype('uint8')
    return clip.transform(filter)