code: def _replace_obs(
      tape: QuantumTape, obs, *args, **kwargs
  ) -> (Sequence[QuantumTape], Callable):
      """
      Tape transform to replace the measurement processes with the given one
      """
      # check if the measurement process of the tape is qml.classical_shadow
      for m in tape.measurements:
          if not isinstance(m, ClassicalShadowMP):
              raise ValueError(
                  f"Tape measurement must be ClassicalShadowMP, got {m.__class__.__name__!r}"
              )
  
      with qml.queuing.AnnotatedQueue() as q:
          # queue everything from the old tape except the measurement processes
          for op in tape.operations:
              qml.apply(op)
  
          # queue the new observable
          obs(*args, **kwargs)
      qscript = QuantumScript.from_queue(q, shots=tape.shots)
  
      def processing_fn(res):
          return res[0]
  
      return [qscript], processing_fn
  
file_path: pennylane/pennylane/shadows/transforms.py
imports: import warnings
  from functools import reduce, partial
  from itertools import product
  from typing import Sequence, Callable
  import numpy
  import pennylane
  from pennylane.measurements import ClassicalShadowMP
  from pennylane.tape import QuantumScript, QuantumTape
  from pennylane import transform
label_desc: Use image node_id 1 for calling a global function with example usage: _replace_obs(tape, obs) and returns: list,  processing_fn, res