Fix gym tests

gym-unity/gym_unity/envs/__init__.py

 
     def _get_n_vis_obs(self) -> int:
         result = 0
-        for sen_spec in self.group_spec.sensor_specs:
-            if len(sen_spec.shape) == 3:
+        for obs_spec in self.group_spec.observation_specs:
+            if len(obs_spec.shape) == 3:
-        for sen_spec in self.group_spec.sensor_specs:
-            if len(sen_spec.shape) == 3:
-                result.append(sen_spec.shape)
+        for obs_spec in self.group_spec.observation_specs:
+            if len(obs_spec.shape) == 3:
+                result.append(obs_spec.shape)
         return result
 
     def _get_vis_obs_list(
 
     def _get_vec_obs_size(self) -> int:
         result = 0
-        for sen_spec in self.group_spec.sensor_specs:
-            if len(sen_spec.shape) == 1:
-                result += sen_spec.shape[0]
+        for obs_spec in self.group_spec.observation_specs:
+            if len(obs_spec.shape) == 1:
+                result += obs_spec.shape[0]
         return result
 
     def render(self, mode="rgb_array"):

gym-unity/gym_unity/tests/test_gym.py

     TerminalSteps,
     BehaviorMapping,
 )
-from mlagents.trainers.tests.dummy_config import create_sensor_specs_with_shapes
+from mlagents.trainers.tests.dummy_config import create_observation_specs_with_shapes
 
 
 def test_gym_wrapper():
     obs_shapes = [(vector_observation_space_size,)]
     for _ in range(number_visual_observations):
         obs_shapes += [(8, 8, 3)]
-    sen_spec = create_sensor_specs_with_shapes(obs_shapes)
-    return BehaviorSpec(sen_spec, action_spec)
+    obs_spec = create_observation_specs_with_shapes(obs_shapes)
+    return BehaviorSpec(obs_spec, action_spec)
 
 
 def create_mock_vector_steps(specs, num_agents=1, number_visual_observations=0):