bfbc5f55b9a9f43ac099f7d3345d2a01ecadf754,librosa/feature.py,,delta,#,624

Before Change

    if pad:
        padding         = [(0, 0)]  * data.ndim
        padding[axis]   = (order, 0)
        delta_x              = np.pad(delta_x, padding, mode="constant")

    return delta_x

After Change

          delta matrix of ``data``.
    """

    half_length     = 1 + int(np.floor(width / 2))
    window          = np.arange(half_length - 1, -half_length, -1)
    
    // Pad out the data by repeating the border values (delta=0)
    padding         = [(0, 0)]  * data.ndim
    padding[axis]   = (half_length, half_length)
    delta_x         = np.pad(data, padding, mode="edge")

    for _ in range(order):
        delta_x     = scipy.signal.lfilter(window, 1, delta_x, axis=axis)

Instances