code: def test_spec_from_gym_space_box_array(self):
      for dtype in (np.float32, np.float64):
          box_space = gym.spaces.Box(
              np.array([-1.0, -2.0]), np.array([2.0, 4.0]), dtype=dtype
          )
          spec = gym_wrapper.spec_from_gym_space(box_space)
  
          self.assertEqual((2,), spec.shape)
          self.assertEqual(dtype, spec.dtype)
          np.testing.assert_array_equal(
              np.array([-1.0, -2.0]), spec.minimum
          )
          np.testing.assert_array_equal(
              np.array([2.0, 4.0]), spec.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 8 for calling the GymWrapperSpecTest obj's underlying member method code with example usage: obj.test_spec_from_gym_space_box_array() without return types