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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 setValues(self, values):
 """ Set the tuples in this set. Valid only for non-indexed sets. Args: values: A list of tuples or a :class:`~amplpy.DataFrame`. In the case of a :class:`~amplpy.DataFrame`, the number of indexing columns of the must be equal to the arity of the set. In the case of a list of tuples, the arity of each tuple must be equal to the arity of the set. For example, considering the following AMPL entities and corresponding Python objects: .. code-block:: ampl set A := 1..2; param p{i in A} := i+10; set AA; The following is valid: .. code-block:: python A, AA = ampl.getSet('A'), ampl.getSet('AA') AA.setValues(A.getValues()) # AA has now the members {1, 2} """

        if isinstance(values, (list, set)):
            if any(isinstance(value, basestring) for value in values):
                values = list(map(str, values))
                self._impl.setValuesStr(values, len(values))
            elif all(isinstance(value, Real) for value in values):
                values = list(map(float, values))
                self._impl.setValuesDbl(values, len(values))
            elif all(isinstance(value, tuple) for value in values):
                self._impl.setValues(Utils.toTupleArray(values), len(values))
            else:
                raise TypeError
        else:
            if np is not None and isinstance(values, np.ndarray):
                self.setValues(DataFrame.fromNumpy(values).toList())
                return
            Entity.setValues(self, values)