code: def test_optimal_sector(
      symbols, geometry, charge, generators, num_electrons, result
  ):
      r"""Test that find_optimal_sector returns the correct result."""
      mol = qml.qchem.Molecule(symbols, geometry, charge)
      hamiltonian = qml.qchem.diff_hamiltonian(mol)()
  
      perm = optimal_sector(hamiltonian, generators, num_electrons)
      assert perm == result
  
      # test arithmetic op compatibility:
      h_as_op = pauli_sentence(hamiltonian).operation()
      generators_as_ops = [
          pauli_sentence(g).operation() for g in generators
      ]
  
      enable_new_opmath()
      perm = optimal_sector(h_as_op, generators_as_ops, num_electrons)
      disable_new_opmath()
      assert perm == result
  
imports: import functools
  import pytest
  import scipy
  import pennylane
  from pennylane import numpy
  from pennylane.pauli import pauli_sentence
  from pennylane.qchem.tapering import _kernel, _reduced_row_echelon, clifford, optimal_sector, taper_hf, taper_operation, _split_pauli_sentence, _taper_pauli_sentence
  from pennylane.operation import enable_new_opmath, disable_new_opmath
label_desc: Use image node_id 7 for calling a global function with example usage: test_optimal_sector(symbols, geometry, charge, generators, num_electrons, result) without return types