code: def test_spec_from_gym_space_dict(self):
      dict_space = gym.spaces.Dict(
          [
              ("spec_2", gym.spaces.Box(-1.0, 1.0, (3, 4))),
              ("spec_1", gym.spaces.Discrete(2)),
          ]
      )
  
      spec = gym_wrapper.spec_from_gym_space(dict_space)
  
      keys = list(spec.keys())
      self.assertEqual("spec_1", keys[1])
      self.assertEqual(2, len(spec))
      self.assertEqual((), spec["spec_1"].shape)
      self.assertEqual(np.int64, spec["spec_1"].dtype)
      self.assertEqual(0, spec["spec_1"].minimum)
      self.assertEqual(1, spec["spec_1"].maximum)
  
      self.assertEqual("spec_2", keys[0])
      self.assertEqual((3, 4), spec["spec_2"].shape)
      self.assertEqual(np.float32, spec["spec_2"].dtype)
      np.testing.assert_array_almost_equal(
          -np.ones((3, 4)),
          spec["spec_2"].minimum,
      )
      np.testing.assert_array_almost_equal(
          np.ones((3, 4)),
          spec["spec_2"].maximum,
      )
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import math
  from absl.testing.absltest import mock
  import gym
  import gym.spaces
  import numpy
  from tf_agents.environments import gym_wrapper
  from tf_agents.utils import test_utils
label_desc: Use image node_id 13 for calling the GymWrapperSpecTest obj's underlying member method code with example usage: obj.test_spec_from_gym_space_dict() without return types