56fb5f5ecfdaafc57b67db632004c6272f068e2e,seglearn/util.py,,check_ts_data,#,9

Before Change

    """
    if type(X) is np.recarray:
        _check_ts(X["ts"])
    elif type(X) is list or type(X) is np.ndarray:
        _check_ts(X)
    else:
        raise TypeError

def _check_ts(X):
    Nvars = np.array([np.row_stack(X[i]).shape[1] for i in range(len(X))])
    assert len(np.unique(Nvars)) == 1

After Change

    Xt, Xs = get_ts_data_parts(X)
    if Xs is not None:
        assert len(Xt) == len(Xs)
    N_tvars = np.array([np.row_stack(Xt[i]).shape[1] for i in range(len(Xt))])
    assert len(np.unique(N_tvars)) == 1

def ts_stats(Xt, y, fs = 1.0, class_labels = None):
    """

Instances