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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 as_graph(self) -> Digraph: # pragma: no cover """Renders the discrimination net as graphviz digraph."""

        if Digraph is None:
            raise ImportError('The graphviz package is required to draw the graph.')
        dot = Digraph()

        nodes = set()
        queue = [self._root]
        while queue:
            state = queue.pop(0)
            if not state.payload:
                dot.node('n{!s}'.format(state.id), '', {'shape': ('circle' if state else 'doublecircle')})
            else:
                dot.node('n{!s}'.format(state.id), '\n'.join(map(str, state.payload)), {'shape': 'box'})

            for next_state in state.values():
                if next_state.id not in nodes:
                    queue.append(next_state)
                    nodes.add(state.id)

        nodes = set()
        queue = [self._root]
        while queue:
            state = queue.pop(0)
            if state.id in nodes:
                continue
            nodes.add(state.id)

            for (label, other) in state.items():
                dot.edge('n{!s}'.format(state.id), 'n{!s}'.format(other.id), _term_str(label))
                if other.id not in nodes:
                    queue.append(other)

        return dot