code: def expand_transform(
      tape: qml.tape.QuantumTape,
      index: int,  # pylint:disable=unused-argument
  ) -> (Sequence[qml.tape.QuantumTape], Callable):
      """A valid expand transform."""
      return [tape], lambda x: x
  
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 2 for calling a global function with example usage: expand_transform(tape, index) and returns: list,  function