code: def test_incorrect_implementation(self):
      incorrect_module = IncorrectImplementation()
      # this should raise an error saying that the output does not match the
      # `output_specs`.
      self.assertRaises(
          SpecCheckingError,
          lambda: incorrect_module.check_input_and_output({"input": 2}),
      )
  
      # this should not raise an error because output is not forced to be checked
      incorrect_module.check_only_input({"input": 2})
  
      # This should raise an error because output does not match the `output_specs`.
      self.assertRaises(
          SpecCheckingError,
          lambda: incorrect_module.check_only_output({"not_input": 2}),
      )
  
imports: import abc
  import time
  import unittest
  from typing import Dict, Any, Type
  import numpy
  import torch
  from ray.rllib.core.models.specs.checker import SpecCheckingError
  from ray.rllib.core.models.specs.checker import convert_to_canonical_format, check_input_specs, check_output_specs
  from ray.rllib.core.models.specs.specs_base import TensorSpec, TypeSpec
  from ray.rllib.core.models.specs.specs_dict import SpecDict
  from ray.rllib.utils.annotations import override
  from ray.rllib.utils.nested_dict import NestedDict
label_desc: Use image node_id 4 for calling the TestCheckSpecs obj's underlying member method code with example usage: obj.test_incorrect_implementation() without return types