def has_duplicate(x):
    """
    Checks if any value in x occurs more than once

    :param x: the time series to calculate the feature of
    :type x: numpy.ndarray
    :return: the value of this feature
    :return type: bool
    """
    if not isinstance(x, (np.ndarray, pd.Series)):
        x = np.asarray(x)
    return x.size != np.unique(x).size
def has_duplicate ( x ) : if not isinstance ( x , ( np . ndarray , pd . Series ) ) : x = np . asarray ( x ) return x . size != np . unique ( x ) . size
Checks if any value in x occurs more than once

    :param x: the time series to calculate the feature of
    :type x: numpy.ndarray
    :return: the value of this feature
    :return type: bool