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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 any(self, values, axis=0):
 """compute if any item evaluates to true in each group Parameters values to take boolean predicate over per group axis : int, optional alternative reduction axis for values Returns ------- unique: ndarray, [groups] unique keys value array, reduced over groups """

        values = np.asarray(values)
        if not values.dtype == np.bool:
            values = values != 0
        return self.unique, self.reduce(values, axis=axis) > 0