8acf04da9110e1fdb5846c4bf511c8d9f29a6565,librosa/util.py,,pad_center,#,86

Before Change

    kwargs.setdefault("mode", "constant")
    lpad = (size - len(data))/2
    return np.pad(data, (lpad, size - len(data) - lpad), **kwargs)


def fix_length(y, n, **kwargs):
    """Fix the length of a one-dimensional array ``y`` to exactly ``n``.

After Change

    lpad = (size - n)/2

    lengths = [(0, 0)] * d
    lengths[axis] = (lpad, size - n - lpad)

    if lpad < 0:
        raise ValueError("Target size {:d} is smaller than input {:d}".format(size, n))

    return np.pad(data, lengths, **kwargs)


def fix_length(y, n, **kwargs):
    """Fix the length of a one-dimensional array ``y`` to exactly ``n``.

Instances