code: def test_differentiable_hamiltonian(
      symbols, geometry, h_ref_data, op_arithmetic
  ):
      r"""Test that molecular_hamiltonian returns the correct Hamiltonian with the differentiable
      backend."""
      if op_arithmetic:
          enable_new_opmath()
  
      geometry.requires_grad = True
      args = [geometry.reshape(2, 3)]
      h_args = qchem.molecular_hamiltonian(
          symbols, geometry, method="dhf", args=args
      )[0]
  
      geometry.requires_grad = False
      h_noargs = qchem.molecular_hamiltonian(
          symbols, geometry, method="dhf"
      )[0]
  
      h_ref = (
          dot(h_ref_data[0], h_ref_data[1], pauli=True)
          if op_arithmetic
          else Hamiltonian(h_ref_data[0], h_ref_data[1])
      )
  
      if op_arithmetic:
          disable_new_opmath()
          h_args_ps = pauli_sentence(h_args)
          h_noargs_ps = pauli_sentence(h_noargs)
          h_ref_sorted_coeffs = np.sort(list(h_ref.values()))
  
          assert set(h_args_ps) == set(h_ref)
          assert set(h_noargs_ps) == set(h_ref)
  
          assert np.allclose(
              np.sort(list(h_args_ps.values())), h_ref_sorted_coeffs
          )
          assert np.allclose(
              np.sort(list(h_noargs_ps.values())), h_ref_sorted_coeffs
          )
  
          assert all(
              val.requires_grad is True for val in h_args_ps.values()
          )
          assert all(
              val.requires_grad is False for val in h_noargs_ps.values()
          )
  
      else:
          assert np.allclose(
              np.sort(h_args.coeffs), np.sort(h_ref.coeffs)
          )
          assert Hamiltonian(
              np.ones(len(h_args.coeffs)), h_args.ops
          ).compare(Hamiltonian(np.ones(len(h_ref.coeffs)), h_ref.ops))
  
          assert np.allclose(
              np.sort(h_noargs.coeffs), np.sort(h_ref.coeffs)
          )
          assert Hamiltonian(
              np.ones(len(h_noargs.coeffs)), h_noargs.ops
          ).compare(Hamiltonian(np.ones(len(h_ref.coeffs)), h_ref.ops))
  
          assert h_args.coeffs.requires_grad is True
          assert h_noargs.coeffs.requires_grad is False
  
file_path: pennylane/tests/qchem/of_tests/test_molecular_hamiltonian.py
imports: import pytest
  from pennylane import Identity, PauliX, PauliY, PauliZ
  from pennylane import numpy
  from pennylane import qchem
  from pennylane.ops import Hamiltonian
  from pennylane.ops.functions import dot
  from pennylane.pauli import pauli_sentence
  from pennylane.operation import enable_new_opmath, disable_new_opmath
label_desc: Use image node_id 2 for calling a global function with example usage: test_differentiable_hamiltonian(symbols, geometry, h_ref_data, op_arithmetic) without return types