bc1c204015ee40fd536f68c73854b9c131ff4524,librosa/beat.py,,_beat_strength,#,163

Before Change

    if rising:
        D   = numpy.maximum(0.0, D)
    else:
        D   = numpy.abs(D)
        pass

    ////// Average over mel bands
    D   = numpy.mean(D, 0)

    ////// Filter with a difference operator
    D   = scipy.signal.lfilter([1.0, -1.0], [1.0, -0.99], D)

    ////// Normalize by the maximum onset strength
    return D / numpy.max(D)

def _recursive_beat_decomposition(onset, t_min=16, sigma=16):

    n           = len(onset)

After Change

    if Znorm == 0:
        Znorm = 1.0
        pass
    return (Z / Znorm, D)

def _recursive_beat_decomposition(onset, t_min=16, sigma=16):

    n           = len(onset)

Instances