code: def test_integration_observable_to_vqe_cost(
      monkeypatch, _, terms_ref, expected_cost, custom_wires, tol
  ):
      r"""Test if `import_operator()` integrates with `ExpvalCost()` in pennylane"""
  
      qOp = openfermion.QubitOperator()
      if terms_ref is not None:
          monkeypatch.setattr(qOp, "terms", terms_ref)
      vqe_observable = qml.qchem.convert.import_operator(
          qOp, "openfermion", custom_wires
      )
  
      num_qubits = len(vqe_observable.wires)
      assert vqe_observable.terms.__repr__()  # just to satisfy codecov
  
      if custom_wires is None:
          wires = num_qubits
      elif isinstance(custom_wires, dict):
          wires = qml.qchem.convert._process_wires(custom_wires)
      else:
          wires = custom_wires[:num_qubits]
      dev = qml.device("default.qubit", wires=wires)
  
      # can replace the ansatz with more suitable ones later.
      def dummy_ansatz(phis, wires):
          for phi, w in zip(phis, wires):
              qml.RX(phi, wires=w)
  
      dummy_cost = catch_warn_ExpvalCost(
          dummy_ansatz, vqe_observable, dev
      )
      params = [0.1 * i for i in range(num_qubits)]
      res = dummy_cost(params)
  
      assert np.allclose(res, expected_cost, **tol)
  
imports: import os
  import sys
  import pytest
  import pennylane
  from pennylane import numpy
  from pennylane import qchem
  from pennylane.operation import disable_new_opmath, enable_new_opmath
label_desc: Use image node_id 15 for calling a global function with example usage: test_integration_observable_to_vqe_cost(monkeypatch, _, terms_ref, expected_cost, custom_wires, tol) without return types