class_docstr: Test the dunder methods.
docstr: Test that transform programs are added correctly when one of them has a terminal
  transform.
docstr_tok: ["Test","that","transform","programs","are","added","correctly","when","one","of","them","has","a","terminal","transform","."]
code: def test_add_programs_with_one_final_transform(self):
      """Test that transform programs are added correctly when one of them has a terminal
      transform."""
      transform1 = TransformContainer(transform=first_valid_transform)
      transform2 = TransformContainer(
          transform=second_valid_transform, final_transform=True
      )
  
      transform_program1 = TransformProgram()
      transform_program1.push_back(transform1)
  
      transform_program2 = TransformProgram()
      transform_program2.push_back(transform1)
      transform_program2.push_back(transform2)
  
      merged_program1 = transform_program1 + transform_program2
      assert len(merged_program1) == 3
  
      assert isinstance(merged_program1[0], TransformContainer)
      assert merged_program1[0].transform is first_valid_transform
  
      assert isinstance(merged_program1[1], TransformContainer)
      assert merged_program1[1].transform is first_valid_transform
  
      assert isinstance(merged_program1[2], TransformContainer)
      assert merged_program1[2].transform is second_valid_transform
  
      merged_program2 = transform_program2 + transform_program1
      assert len(merged_program2) == 3
  
      assert isinstance(merged_program2[0], TransformContainer)
      assert merged_program2[0].transform is first_valid_transform
  
      assert isinstance(merged_program2[1], TransformContainer)
      assert merged_program2[1].transform is first_valid_transform
  
      assert isinstance(merged_program2[2], TransformContainer)
      assert merged_program2[2].transform is second_valid_transform
  
imports: from typing import Sequence, Callable
  import pytest
  import pennylane
  from pennylane.tape import QuantumScript
  from pennylane.transforms.core import transform, TransformProgram, TransformError, TransformContainer
  from pennylane.transforms.core.transform_program import _batch_postprocessing, _apply_postprocessing_stack, null_postprocessing
  from pennylane.typing import ResultBatch, Result
label_desc: Use image node_id 6 for calling the TestTransformProgramDunders obj's underlying member method code with example usage: obj.test_add_programs_with_one_final_transform() without return types