code: def _process_wires(wires, n_wires=None):
      r"""Checks and consolidates custom user wire mapping into a consistent, direction-free, ``Wires``
      format. Used for converting between OpenFermion qubit numbering and PennyLane wire labels.
  
      Since OpenFermion's qubit numbering is always consecutive int, simple iterable types such as
      list, tuple, or Wires can be used to specify the 2-way `qubit index` <-> `wire label` mapping
      with indices representing qubits. Dict can also be used as a mapping, but does not provide any
      advantage over lists other than the ability to do partial mapping/permutation in the
      `qubit index` -> `wire label` direction.
  
      It is recommended to pass Wires/list/tuple `wires` since it's direction-free, i.e. the same
      `wires` argument can be used to convert both ways between OpenFermion and PennyLane. Only use
      dict for partial or unordered mapping.
  
      Args:
          wires (Wires, list, tuple, dict): User wire labels.
              For types Wires, list, or tuple, each item in the iterable represents a wire label
              corresponding to the qubit number equal to its index.
              For type dict, only int-keyed dict (for qubit-to-wire conversion) or
              consecutive-int-valued dict (for wire-to-qubit conversion) is accepted.
              If None, will be set to consecutive int based on ``n_wires``.
          n_wires (int): Number of wires used if known. If None, will be inferred from ``wires``; if
              ``wires`` is not available, will be set to 1.
  
      Returns:
          Wires: Cleaned wire mapping with indices corresponding to qubits and values
              corresponding to wire labels.
  
      **Example**
  
      >>> # consec int wires if no wires mapping provided, ie. identity map: 0<->0, 1<->1, 2<->2
      >>> _process_wires(None, 3)
      <Wires = [0, 1, 2]>
  
      >>> # List as mapping, qubit indices with wire label values: 0<->w0, 1<->w1, 2<->w2
      >>> _process_wires(['w0','w1','w2'])
      <Wires = ['w0', 'w1', 'w2']>
  
      >>> # Wires as mapping, qubit indices with wire label values: 0<->w0, 1<->w1, 2<->w2
      >>> _process_wires(Wires(['w0', 'w1', 'w2']))
      <Wires = ['w0', 'w1', 'w2']>
  
      >>> # Dict as partial mapping, int qubits keys to wire label values: 0->w0, 1 unchanged, 2->w2
      >>> _process_wires({0:'w0',2:'w2'})
      <Wires = ['w0', 1, 'w2']>
  
      >>> # Dict as mapping, wires label keys to consec int qubit values: w2->2, w0->0, w1->1
      >>> _process_wires({'w2':2, 'w0':0, 'w1':1})
      <Wires = ['w0', 'w1', 'w2']>
      """
  
      # infer from wires, or assume 1 if wires is not of accepted types.
      if n_wires is None:
          n_wires = (
              len(wires)
              if isinstance(wires, (Wires, list, tuple, dict))
              else 1
          )
  
      # defaults to no mapping.
      if wires is None:
          return Wires(range(n_wires))
  
      if isinstance(wires, (Wires, list, tuple)):
          # does not care about the tail if more wires are provided than n_wires.
          wires = Wires(wires[:n_wires])
  
      elif isinstance(wires, dict):
          if all(isinstance(w, int) for w in wires.keys()):
              # Assuming keys are taken from consecutive int wires. Allows for partial mapping.
              n_wires = max(wires) + 1
              labels = list(
                  range(n_wires)
              )  # used for completing potential partial mapping.
              for k, v in wires.items():
                  if k < n_wires:
                      labels[k] = v
              wires = Wires(labels)
          elif set(range(n_wires)).issubset(set(wires.values())):
              # Assuming values are consecutive int wires (up to n_wires, ignores the rest).
              # Does NOT allow for partial mapping.
              wires = {
                  v: k for k, v in wires.items()
              }  # flip for easy indexing
              wires = Wires([wires[i] for i in range(n_wires)])
          else:
              raise ValueError(
                  "Expected only int-keyed or consecutive int-valued dict for `wires`"
              )
  
      else:
          raise ValueError(
              f"Expected type Wires, list, tuple, or dict for `wires`, got {type(wires)}"
          )
  
      if len(wires) != n_wires:
          # check length consistency when all checking and cleaning are done.
          raise ValueError(
              f"Length of `wires` ({len(wires)}) does not match `n_wires` ({n_wires})"
          )
  
      return wires
  
imports: import warnings
  from itertools import product
  import numpy
  import pennylane
  from pennylane.operation import Tensor, active_new_opmath
  from pennylane.pauli import pauli_sentence
  from pennylane.wires import Wires
label_desc: Use image node_id 1 for calling a global function with example usage: _process_wires(wires, n_wires) and returns: wires, Wires