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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 split_iterable_as_unordered_iterable(self, values):
 """Group iterable into iterables, without regard for the ordering of self.index.unique key-group tuples are yielded as soon as they are complete Parameters values : iterable of length equal to keys iterable of values to be grouped Yields ------ tuple of key, and a list of corresponding items in values Notes ----- This approach is lazy, insofar as grouped values are close in their iterable """

        from collections import defaultdict
        cache = defaultdict(list)
        count = self.count
        unique = self.unique
        key = (lambda i: unique[i]) if isinstance(unique, np.ndarray) else (lambda i: tuple(c[i] for c in unique))
        for i,v in zip(self.inverse, values):
            cache[i].append(v)
            if len(cache[i]) == count[i]:
                yield key(i), cache.pop(i)