code: def null_postprocessing(results):
      """A postprocessing function returned by a transform that only converts the batch of results
      into a result for a single ``QuantumTape``.
      """
      return results[0]
  
file_path: pennylane/pennylane/transforms/defer_measurements.py
imports: from typing import Sequence, Callable
  import pennylane
  from pennylane.measurements import MidMeasureMP, ProbabilityMP, SampleMP, CountsMP, MeasurementValue
  from pennylane.ops.op_math import ctrl
  from pennylane.tape import QuantumTape
  from pennylane.transforms import transform
  from pennylane.wires import Wires
  from pennylane.queuing import QueuingManager
label_desc: Use image node_id 3 for calling a global function with example usage: null_postprocessing(results) and returns: results