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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 augmented_substructure(self, atoms, dante=False, deep=1, meta=False, as_view=True):
 """ create substructure containing atoms and their neighbors :param atoms: list of core atoms in graph :param dante: if True return list of graphs containing atoms, atoms + first circle, atoms + 1st + 2nd, etc up to deep or while new nodes available :param deep: number of bonds between atoms and neighbors :param meta: copy metadata to each substructure :param as_view: If True, the returned graph-view provides a read-only view of the original graph without actually copying any data """

        nodes = [set(atoms)]
        for i in range(deep):
            n = {y for x in nodes[-1] for y in self._adj[x]} | nodes[-1]
            if n in nodes:
                break
            nodes.append(n)
        if dante:
            return [self.substructure(a, meta, as_view) for a in nodes]
        else:
            return self.substructure(nodes[-1], meta, as_view)