code: def _openfermion_to_pennylane(qubit_operator, wires=None):
      r"""Convert OpenFermion ``QubitOperator`` to a 2-tuple of coefficients and
      PennyLane Pauli observables.
  
      Args:
          qubit_operator (QubitOperator): fermionic-to-qubit transformed operator in terms of
              Pauli matrices
          wires (Wires, list, tuple, dict): Custom wire mapping used to convert the qubit operator
              to 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 int-keyed dict (for qubit-to-wire conversion) is accepted.
              If None, will use identity map (e.g. 0->0, 1->1, ...).
  
      Returns:
          tuple[array[float], Iterable[pennylane.operation.Operator]]: coefficients and their
          corresponding PennyLane observables in the Pauli basis
  
      **Example**
  
      >>> q_op = 0.1*QubitOperator('X0') + 0.2*QubitOperator('Y0 Z2')
      >>> q_op
      0.1 [X0] +
      0.2 [Y0 Z2]
      >>> _openfermion_to_pennylane(q_op, wires=['w0','w1','w2','extra_wire'])
      (tensor([0.1, 0.2], requires_grad=False), [PauliX(wires=['w0']), PauliY(wires=['w0']) @ PauliZ(wires=['w2'])])
  
      If the new op-math is active, the list of operators will be cast as :class:`~.Prod` instances instead of
      :class:`~.Tensor` instances when appropriate.
      """
      n_wires = (
          1
          + max(
              max(i for i, _ in t) if t else 1
              for t in qubit_operator.terms
          )
          if qubit_operator.terms
          else 1
      )
      wires = _process_wires(wires, n_wires=n_wires)
  
      if (
          not qubit_operator.terms
      ):  # added since can't unpack empty zip to (coeffs, ops) below
          return np.array([0.0]), [qml.Identity(wires[0])]
  
      xyz2pauli = {"X": qml.PauliX, "Y": qml.PauliY, "Z": qml.PauliZ}
  
      def _get_op(term, wires):
          """A function to compute the PL operator associated with the term string."""
          if len(term) > 1:
              if active_new_opmath():
                  return qml.prod(
                      *[
                          xyz2pauli[op[1]](wires=wires[op[0]])
                          for op in term
                      ]
                  )
  
              return Tensor(
                  *[xyz2pauli[op[1]](wires=wires[op[0]]) for op in term]
              )
  
          if len(term) == 1:
              return xyz2pauli[term[0][1]](wires=wires[term[0][0]])
  
          return qml.Identity(wires[0])
  
      coeffs, ops = zip(
          *[
              (coef, _get_op(term, wires))
              for term, coef in qubit_operator.terms.items()
          ]
          # example term: ((0,'X'), (2,'Z'), (3,'Y'))
      )
  
      return np.array(coeffs).real, list(ops)
  
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 2 for calling a global function with example usage: _openfermion_to_pennylane(qubit_operator, wires) and returns: np,  list, np,  list, qml, Tensor, xyz2pauli, qml