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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, axis=0, *args, **kwargs):
 """ Tests whether at least one of elements evaluate True Returns ------- any : bool See Also -------- numpy.any """

        nv.validate_any(args, kwargs)

        values = self.sp_values

        if len(values) != len(self) and np.any(self.fill_value):
            return True

        return values.any().item()