code: def test_unwraps_arithmetic_op():
      """Test that the operator helper function can handle operator arithmetic objects."""
      op1 = qml.s_prod(qml.numpy.array(2.0), qml.PauliX(0))
      op2 = qml.s_prod(qml.numpy.array(3.0), qml.PauliY(0))
  
      sum_op = qml.sum(op1, op2)
  
      unwrapped_op = _convert_op_to_numpy_data(sum_op)
      assert qml.math.get_interface(*unwrapped_op.data) == "numpy"
      assert qml.math.get_interface(*unwrapped_op.data) == "numpy"
  
file_path: pennylane/tests/transforms/test_convert_to_numpy_parameters.py
imports: import pytest
  import numpy
  import pennylane
  from pennylane.transforms import convert_to_numpy_parameters
  from pennylane.transforms.convert_to_numpy_parameters import _convert_op_to_numpy_data, _convert_measurement_to_numpy_data
label_desc: Use image node_id 3 for calling a global function with example usage: test_unwraps_arithmetic_op() without return types