code: def _pennylane_to_openfermion(coeffs, ops, wires=None):
      r"""Convert a 2-tuple of complex coefficients and PennyLane operations to
      OpenFermion ``QubitOperator``.
  
      Args:
          coeffs (array[complex]):
              coefficients for each observable, same length as ops
          ops (Iterable[pennylane.operation.Operations]): list of PennyLane operations that
              have a valid PauliSentence representation.
          wires (Wires, list, tuple, dict): Custom wire mapping used to convert to qubit operator
              from an observable terms measurable in a PennyLane ansatz.
              For types Wires/list/tuple, each item in the iterable represents a wire label
              corresponding to the qubit number equal to its index.
              For type dict, only consecutive-int-valued dict (for wire-to-qubit conversion) is
              accepted. If None, will map sorted wires from all `ops` to consecutive int.
  
      Returns:
          QubitOperator: an instance of OpenFermion's ``QubitOperator``.
  
      **Example**
  
      >>> coeffs = np.array([0.1, 0.2, 0.3, 0.4])
      >>> ops = [
      ...     qml.operation.Tensor(qml.PauliX(wires=['w0'])),
      ...     qml.operation.Tensor(qml.PauliY(wires=['w0']), qml.PauliZ(wires=['w2'])),
      ...     qml.sum(qml.PauliZ(wires=['w0']), qml.s_prod(-0.5, qml.PauliX(wires=['w0']))),
      ...     qml.prod(qml.PauliX(wires=['w0']), qml.PauliZ(wires=['w1'])),
      ... ]
      >>> _pennylane_to_openfermion(coeffs, ops, wires=Wires(['w0', 'w1', 'w2']))
      (-0.05+0j) [X0] +
      (0.4+0j) [X0 Z1] +
      (0.2+0j) [Y0 Z2] +
      (0.3+0j) [Z0]
      """
      try:
          import openfermion
      except ImportError as Error:
          raise ImportError(
              "This feature requires openfermion. "
              "It can be installed with: pip install openfermion"
          ) from Error
  
      all_wires = Wires.all_wires([op.wires for op in ops], sort=True)
  
      if wires is not None:
          qubit_indexed_wires = _process_wires(
              wires,
          )
          if not set(all_wires).issubset(set(qubit_indexed_wires)):
              raise ValueError(
                  "Supplied `wires` does not cover all wires defined in `ops`."
              )
      else:
          qubit_indexed_wires = all_wires
  
      q_op = openfermion.QubitOperator()
      for coeff, op in zip(coeffs, ops):
          if isinstance(op, Tensor):
              try:
                  ps = pauli_sentence(op)
              except ValueError as e:
                  raise ValueError(
                      f"Expected a Pennylane operator with a valid Pauli word representation, "
                      f"but got {op}."
                  ) from e
  
          elif (ps := op.pauli_rep) is None:
              raise ValueError(
                  f"Expected a Pennylane operator with a valid Pauli word representation, but got {op}."
              )
  
          if len(ps) > 0:
              sub_coeffs, op_strs = _ps_to_coeff_term(
                  ps, wire_order=qubit_indexed_wires
              )
              for c, op_str in zip(sub_coeffs, op_strs):
                  # This is how one makes QubitOperator in OpenFermion
                  q_op += complex(
                      coeff * c
                  ) * openfermion.QubitOperator(op_str)
  
      return q_op
  
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 4 for calling a global function with example usage: _pennylane_to_openfermion(coeffs, ops, wires) and returns: q_op