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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 aggregate(self, zeroValue, seqOp, combOp):
 """ Aggregate the elements of each partition, and then the results for all the partitions, using a given combine functions and a neutral "zero value." The functions C{op(t1, t2)} is allowed to modify C{t1} and return it as its result value to avoid object allocation; however, it should not modify C{t2}. The first function (seqOp) can return a different result type, U, than the type of this RDD. Thus, we need one operation for merging a T into an U and one operation for merging two U (10, 4) (0, 0) """

        seqOp = fail_on_stopiteration(seqOp)
        combOp = fail_on_stopiteration(combOp)

        def func(iterator):
            acc = zeroValue
            for obj in iterator:
                acc = seqOp(acc, obj)
            yield acc
        # collecting result of mapPartitions here ensures that the copy of
        # zeroValue provided to each partition is unique from the one provided
        # to the final reduce call
        vals = self.mapPartitions(func).collect()
        return reduce(combOp, vals, zeroValue)