code: def _equal_tensor(op1: Tensor, op2: Observable, **kwargs):
      """Determine whether a Tensor object is equal to a Hamiltonian/Tensor"""
      if not isinstance(op2, Observable):
          return False
  
      if isinstance(op2, Hamiltonian):
          return op2.compare(op1)
  
      if isinstance(op2, Tensor):
          return (
              op1._obs_data() == op2._obs_data()
          )  # pylint: disable=protected-access
  
      return False
  
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 12 for calling a global function with example usage: _equal_tensor(op1, op2) and returns: False, False, op2, unknown