class_docstr: Listener for FunctionGraph events which makes sure that no
  operation overwrites the contents of protected Variables. The
  outputs of the FunctionGraph are protected by default.
code: def validate(self, fgraph):
      if config.cycle_detection == "fast" and hasattr(
          fgraph, "has_destroyers"
      ):
          if fgraph.has_destroyers(self.protected):
              raise InconsistencyError(
                  "Trying to destroy protected variables."
              )
          return True
      if not hasattr(fgraph, "destroyers"):
          return True
      for r in self.protected + list(fgraph.outputs):
          if fgraph.destroyers(r):
              raise InconsistencyError(
                  f"Trying to destroy a protected variable: {r}"
              )
  
imports: import copy
  import copyreg
  import logging
  import time
  import warnings
  from itertools import chain
  from typing import TYPE_CHECKING, Optional
  import numpy
  import pytensor
  import pytensor.compile.profiling
  from pytensor.compile.io import In, SymbolicInput, SymbolicOutput
  from pytensor.compile.ops import deep_copy_op, view_op
  from pytensor.configdefaults import config
  from pytensor.graph.basic import Constant, Variable, ancestors, clone_get_equiv, graph_inputs
  from pytensor.graph.destroyhandler import DestroyHandler
  from pytensor.graph.features import AlreadyThere, Feature, PreserveVariableAttributes
  from pytensor.graph.fg import FunctionGraph
  from pytensor.graph.op import HasInnerGraph
  from pytensor.graph.utils import InconsistencyError, get_variable_trace_string
  from pytensor.link.basic import Container
  from pytensor.link.utils import raise_with_op
label_desc: Use image node_id 4 for calling the Supervisor obj's underlying member method code with example usage: obj.validate(fgraph) and returns: True, True