code: def _equal_prod_and_sum(op1: CompositeOp, op2: CompositeOp, **kwargs):
      """Determine whether two Prod or Sum objects are equal"""
  
      if len(op1.operands) != len(op2.operands):
          return False
  
      # organizes by wire indicies while respecting commutation relations
      sorted_ops1 = op1._sort(op1.operands)
      sorted_ops2 = op2._sort(op2.operands)
  
      return all(
          equal(o1, o2, **kwargs)
          for o1, o2 in zip(sorted_ops1, sorted_ops2)
      )
  
imports: from collections.abc import Iterable
  from functools import singledispatch
  from typing import Union
  import pennylane
  from pennylane.measurements import MeasurementProcess
  from pennylane.measurements.classical_shadow import ShadowExpvalMP
  from pennylane.measurements.mid_measure import MidMeasureMP, MeasurementValue
  from pennylane.measurements.mutual_info import MutualInfoMP
  from pennylane.measurements.vn_entropy import VnEntropyMP
  from pennylane.measurements.counts import CountsMP
  from pennylane.pulse.parametrized_evolution import ParametrizedEvolution
  from pennylane.operation import Observable, Operator, Tensor
  from pennylane.ops import Hamiltonian, Controlled, Pow, Adjoint, Exp, SProd, CompositeOp
  from pennylane.templates.subroutines import ControlledSequence
  from pennylane.tape import QuantumTape
label_desc: Use image node_id 5 for calling a global function with example usage: _equal_prod_and_sum(op1, op2) and returns: all, False