code: def edges_to_wires(
      graph: Union[nx.Graph, rx.PyGraph, rx.PyDiGraph]
  ) -> Dict[Tuple, int]:
      r"""Maps the edges of a graph to corresponding wires.
  
      **Example**
  
      >>> g = nx.complete_graph(4).to_directed()
      >>> edges_to_wires(g)
      {(0, 1): 0,
       (0, 2): 1,
       (0, 3): 2,
       (1, 0): 3,
       (1, 2): 4,
       (1, 3): 5,
       (2, 0): 6,
       (2, 1): 7,
       (2, 3): 8,
       (3, 0): 9,
       (3, 1): 10,
       (3, 2): 11}
  
      >>> g = rx.generators.directed_mesh_graph(4, [0,1,2,3])
      >>> edges_to_wires(g)
      {(0, 1): 0,
       (0, 2): 1,
       (0, 3): 2,
       (1, 0): 3,
       (1, 2): 4,
       (1, 3): 5,
       (2, 0): 6,
       (2, 1): 7,
       (2, 3): 8,
       (3, 0): 9,
       (3, 1): 10,
       (3, 2): 11}
  
      Args:
          graph (nx.Graph or rx.PyGraph or rx.PyDiGraph): the graph specifying possible edges
  
      Returns:
          Dict[Tuple, int]: a mapping from graph edges to wires
      """
      if isinstance(graph, nx.Graph):
          return {edge: i for i, edge in enumerate(graph.edges)}
      if isinstance(graph, (rx.PyGraph, rx.PyDiGraph)):
          gnodes = graph.nodes()
          return {
              (gnodes.index(e[0]), gnodes.index(e[1])): i
              for i, e in enumerate(sorted(graph.edge_list()))
          }
      raise ValueError(
          f"Input graph must be a nx.Graph or rx.PyGraph or rx.PyDiGraph, got {type(graph).__name__}"
      )
  
file_path: pennylane/pennylane/qaoa/cycle.py
imports: import itertools
  from typing import Dict, Tuple, Iterable, List, Union
  import networkx
  import rustworkx
  import numpy
  import pennylane
  from pennylane.ops import Hamiltonian
label_desc: Use image node_id 1 for calling a global function with example usage: edges_to_wires(graph) and returns: unknown, unknown