code: def test_filter(self):
      # create an arbitrary large input dict and test the behavior with and without a
      # filter
      input_dict = NestedDict({"input": 2})
      for i in range(100):
          inds = (str(i),) + tuple(str(j) for j in range(i + 1, i + 11))
          input_dict[inds] = i
  
      correct_module = CorrectImplementation()
  
      # should run without errors
      correct_module.check_input_and_output(input_dict)
  
      # should raise an error (read the implementation of
      # check_input_and_output_wo_filter)
      self.assertRaises(
          ValueError,
          lambda: correct_module.check_input_and_output_wo_filter(
              input_dict
          ),
      )
  
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 5 for calling the TestCheckSpecs obj's underlying member method code with example usage: obj.test_filter() without return types