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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def _get_level_values(self, level, unique=False):
 """ Return vector of label values for requested level, equal to the length of the index **this is an internal method** Parameters level : int level unique : bool, default False if True, drop duplicated values Returns ------- values : ndarray """


        values = self.levels[level]
        level_codes = self.codes[level]
        if unique:
            level_codes = algos.unique(level_codes)
        filled = algos.take_1d(values._values, level_codes,
                               fill_value=values._na_value)
        values = values._shallow_copy(filled)
        return values