9b95e0f07b60b6a144893dcc506dfaf90db61c95,librosa/feature/utils.py,,stack_memory,#,119

Before Change

    history = np.vstack([np.roll(data, -i * delay, axis=1) for i in range(n_steps)[::-1]])

    // Trim to original width
    if delay > 0:
        history = history[:, :t]
    else:
        history = history[:, -t:]

    // Make contiguous
    return np.asfortranarray(history)

After Change

    t = data.shape[-1]
    
    if t < 1:
        raise ParameterError("Cannot stack memory when input data has "
                             "no columns. Given data.shape={}".format(data.shape))
    kwargs.setdefault("mode", "constant")

    if kwargs["mode"] == "constant":
        kwargs.setdefault("constant_values", [0])

Instances