f5122cdab53605b7b800c96d6700b791b8c9add8,librosa/segment.py,,lag_to_recurrence,#,287

Before Change

    sub_slice = [slice(None)] * lag.ndim
    sub_slice[1 - axis] = slice(t)
    return np.ascontiguousarray(lag[sub_slice].T).T


def timelag_filter(function, pad=True, index=0):
    """Filtering in the time-lag domain.

After Change

    // Since lag must be 2-dimensional, abs(axis) = axis
    t = lag.shape[axis]

    sparse = scipy.sparse.issparse(lag)
    if sparse:
        rec = scipy.sparse.lil_matrix(lag)
        roll_ax = 1 - axis
    else:
        rec = lag.copy()
        roll_ax = None

    idx_slice = [slice(None)] * lag.ndim
    for i in range(1, t):
        idx_slice[axis] = i
        rec[tuple(idx_slice)] = util.roll_sparse(lag[tuple(idx_slice)], i, axis=roll_ax)

Instances