code: def test_check_input_and_output(self):
      correct_module = CorrectImplementation()
  
      output = correct_module.check_input_and_output({"input": 2})
      # Output should also match the `output_specs`.
      correct_module.output_specs.validate(NestedDict(output))
  
      # This should raise an error saying that the `input` key is missing.
      self.assertRaises(
          SpecCheckingError,
          lambda: correct_module.check_input_and_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 1 for calling the TestCheckSpecs obj's underlying member method code with example usage: obj.test_check_input_and_output() without return types