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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 compute(self, nodes):
 """Helper function to find edges of the overlapping clusters. Parameters nodes: A dictionary with entires `{node id}:{list of ids in node}` Returns ------- edges: A 1-skeleton of the nerve (intersecting nodes) simplicies: Complete list of simplices """


        result = defaultdict(list)

        # Create links when clusters from different hypercubes have members with the same sample id.
        candidates = itertools.combinations(nodes.keys(), 2)
        for candidate in candidates:
            # if there are non-unique members in the union
            if (
                len(set(nodes[candidate[0]]).intersection(nodes[candidate[1]]))
                >= self.min_intersection
            ):
                result[candidate[0]].append(candidate[1])

        edges = [[x, end] for x in result for end in result[x]]
        simplices = [[n] for n in nodes] + edges
        return result, simplices