How to use the composeml.utils.can_be_type function in composeml

if isinstance(threshold, int):
        assert threshold > 0, 'threshold must be greater than zero'
        df = df.iloc[threshold:]

        if df.empty:
            return df, None

        cutoff_time = df.index[0]

    elif isinstance(threshold, str):
        if can_be_type(type=pd.tseries.frequencies.to_offset, string=threshold):
            threshold = pd.tseries.frequencies.to_offset(threshold)
            assert threshold.n > 0, 'threshold must be greater than zero'
            cutoff_time = df.index[0] + threshold

        elif can_be_type(type=pd.Timestamp, string=threshold):
            cutoff_time = pd.Timestamp(threshold)

        else:
            raise ValueError('invalid threshold')

    else:
        is_timestamp = isinstance(threshold, pd.Timestamp)
        assert is_timestamp, 'invalid threshold'
        cutoff_time = threshold

    if cutoff_time != df.index[0]:
        df = df[df.index >= cutoff_time]

        if df.empty:
            return df, None

An offset will be applied relative to the first time in the index.

    Returns:
        df, cutoff_time (tuple(DataFrame, Timestamp)): Returns the data frame and the applied cutoff time.
    """
    if isinstance(threshold, int):
        assert threshold > 0, 'threshold must be greater than zero'
        df = df.iloc[threshold:]

        if df.empty:
            return df, None

        cutoff_time = df.index[0]

    elif isinstance(threshold, str):
        if can_be_type(type=pd.tseries.frequencies.to_offset, string=threshold):
            threshold = pd.tseries.frequencies.to_offset(threshold)
            assert threshold.n > 0, 'threshold must be greater than zero'
            cutoff_time = df.index[0] + threshold

        elif can_be_type(type=pd.Timestamp, string=threshold):
            cutoff_time = pd.Timestamp(threshold)

        else:
            raise ValueError('invalid threshold')

    else:
        is_timestamp = isinstance(threshold, pd.Timestamp)
        assert is_timestamp, 'invalid threshold'
        cutoff_time = threshold

    if cutoff_time != df.index[0]: