e949a7462a0552c36e13f5d0d9147c4fc52cee32,librosa/feature/utils.py,,sync,#,233

Before Change

        raise ParameterError("Synchronized data has ndim={:d},"
                         " must be 1 or 2.".format(data.ndim))

    data = np.atleast_2d(data)

    if aggregate is None:
        aggregate = np.mean

After Change

    data_agg = np.empty(agg_shape, order="F")

    idx_in = [slice(None)] * data.ndim
    idx_agg = [slice(None)] * data_agg.ndim

    for (i, segment) in enumerate(slices):
        idx_in[axis] = segment
        idx_agg[axis] = i
        data_agg[idx_agg] = aggregate(data[idx_in], axis=axis)

    return data_agg

Instances