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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 randomSplit(self, weights, seed=None):
 """ Randomly splits this RDD with the provided weights. :param weights: weights for splits, will be normalized if they don't sum to 1 :param seed: random seed :return: split RDDs in a list 500 True True """

        s = float(sum(weights))
        cweights = [0.0]
        for w in weights:
            cweights.append(cweights[-1] + w / s)
        if seed is None:
            seed = random.randint(0, 2 ** 32 - 1)
        return [self.mapPartitionsWithIndex(RDDRangeSampler(lb, ub, seed).func, True)
                for lb, ub in zip(cweights, cweights[1:])]