code: def place_wire_cuts(
      graph: MultiDiGraph,
      cut_edges: Sequence[Tuple[Operation, Operation, Any]],
  ) -> MultiDiGraph:
      """Inserts a :class:`~.WireCut` node for each provided cut edge into a circuit graph.
  
      Args:
          graph (nx.MultiDiGraph): The original (tape-converted) graph to be cut.
          cut_edges (Sequence[Tuple[Operation, Operation, Any]]): List of ``MultiDiGraph`` edges
              to be replaced with a :class:`~.WireCut` node. Each 3-tuple represents the source node, the
              target node, and the wire key of the (multi)edge.
  
      Returns:
          MultiDiGraph: Copy of the input graph with :class:`~.WireCut` nodes inserted.
  
      **Example**
  
      Consider the following 2-wire circuit with one CNOT gate connecting the wires:
  
      .. code-block:: python
  
          ops = [
              qml.RX(0.432, wires=0),
              qml.RY(0.543, wires="a"),
              qml.CNOT(wires=[0, "a"]),
          ]
          measurements = [qml.expval(qml.PauliZ(wires=[0]))]
          tape = qml.tape.QuantumTape(ops, measurements)
  
      >>> print(qml.drawer.tape_text(tape))
       0: ──RX(0.432)──╭●──┤ ⟨Z⟩
       a: ──RY(0.543)──╰X──┤
  
      If we know we want to place a :class:`~.WireCut` node between the nodes corresponding to the
      ``RY(0.543, wires=["a"])`` and ``CNOT(wires=[0, 'a'])`` operations after the tape is constructed,
      we can first find the edge in the graph:
  
      >>> graph = qml.qcut.tape_to_graph(tape)
      >>> op0, op1 = tape.operations[1], tape.operations[2]
      >>> cut_edges = [e for e in graph.edges if e[0] is op0 and e[1] is op1]
      >>> cut_edges
      [(RY(0.543, wires=['a']), CNOT(wires=[0, 'a']), 0)]
  
      Then feed it to this function for placement:
  
      >>> cut_graph = qml.qcut.place_wire_cuts(graph=graph, cut_edges=cut_edges)
      >>> cut_graph
      <networkx.classes.multidigraph.MultiDiGraph at 0x7f7251ac1220>
  
      And visualize the cut by converting back to a tape:
  
      >>> print(qml.qcut.graph_to_tape(cut_graph).draw())
       0: ──RX(0.432)──────╭●──┤ ⟨Z⟩
       a: ──RY(0.543)──//──╰X──┤
      """
      cut_graph = graph.copy()
  
      for op0, op1, wire_key in cut_edges:
          # Get info:
          order = cut_graph.nodes[op0]["order"] + 1
          wire = cut_graph.edges[(op0, op1, wire_key)]["wire"]
          # Apply cut:
          cut_graph.remove_edge(op0, op1, wire_key)
          # Increment order for all subsequent gates:
          for op, o in cut_graph.nodes(data="order"):
              if o >= order:
                  cut_graph.nodes[op]["order"] += 1
          # Add WireCut
          wire_cut = WireCut(wires=wire)
          wire_cut_node = WrappedObj(wire_cut)
          cut_graph.add_node(wire_cut_node, order=order)
          cut_graph.add_edge(op0, wire_cut_node, wire=wire)
          cut_graph.add_edge(wire_cut_node, op1, wire=wire)
  
      return cut_graph
  
imports: import uuid
  from typing import Any, Callable, Sequence, Tuple
  import warnings
  import numpy
  from networkx import MultiDiGraph, has_path, weakly_connected_components
  import pennylane
  from pennylane.measurements import MeasurementProcess
  from pennylane.ops.meta import WireCut
  from pennylane.queuing import WrappedObj
  from pennylane.operation import Operation
  from .kahypar import kahypar_cut
  from .cutstrategy import CutStrategy
label_desc: Use image node_id 10 for calling a global function with example usage: place_wire_cuts(graph, cut_edges) and returns: cut_graph