1ec3d56179d24f041df607fd1ec4fcb0a1254cf4,librosa/util/utils.py,,normalize,#Any#Any#Any#Any#Any#,536

Before Change

        // will get nans
        length[small_idx] = np.nan
        Snorm = S / length
        Snorm[np.isnan(Snorm)] = fill_norm
    else:
        // Set small values to zero by doing an inf-divide.
        // This is safe (by IEEE-754) as long as S is finite.

After Change

    if fill not in [None, False, True]:
        raise ParameterError("fill={} must be None or boolean".format(fill))

    if not np.all(np.isfinite(S)):
        raise ParameterError("Input must be finite")

    // All norms only depend on magnitude, let"s do that first
    mag = np.abs(S).astype(np.float)

    // For max/min norms, filling with 1 works
    fill_norm = 1

Instances