Rreplace any stray CarRacing-v2 with CarRacing-v3

Farama-Foundation · Jul 30, 2024 · 6d106ff · 6d106ff
1 parent 9e06113
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diff --git a/docs/introduction/basic_usage.md b/docs/introduction/basic_usage.md
@@ -127,7 +127,7 @@ In order to wrap an environment, you must first initialize a base environment. T
 ```python
 >>> import gymnasium as gym
 >>> from gymnasium.wrappers import FlattenObservation
->>> env = gym.make("CarRacing-v2")
+>>> env = gym.make("CarRacing-v3")
 >>> env.observation_space.shape
 (96, 96, 3)
 >>> wrapped_env = FlattenObservation(env)
@@ -156,7 +156,7 @@ If you have a wrapped environment, and you want to get the unwrapped environment
 
 ```python
 >>> wrapped_env
-<FlattenObservation<TimeLimit<OrderEnforcing<PassiveEnvChecker<CarRacing<CarRacing-v2>>>>>>
+<FlattenObservation<TimeLimit<OrderEnforcing<PassiveEnvChecker<CarRacing<CarRacing-v3>>>>>>
 >>> wrapped_env.unwrapped
 <gymnasium.envs.box2d.car_racing.CarRacing object at 0x7f04efcb8850>
 ```

diff --git a/gymnasium/envs/box2d/car_racing.py b/gymnasium/envs/box2d/car_racing.py
@@ -153,9 +153,9 @@ class CarRacing(gym.Env, EzPickle):
 
     ```python
     >>> import gymnasium as gym
-    >>> env = gym.make("CarRacing-v2", render_mode="rgb_array", lap_complete_percent=0.95, domain_randomize=False, continuous=False)
+    >>> env = gym.make("CarRacing-v3", render_mode="rgb_array", lap_complete_percent=0.95, domain_randomize=False, continuous=False)
     >>> env
-    <TimeLimit<OrderEnforcing<PassiveEnvChecker<CarRacing<CarRacing-v2>>>>>
+    <TimeLimit<OrderEnforcing<PassiveEnvChecker<CarRacing<CarRacing-v3>>>>>
 
     ```
 
@@ -176,7 +176,7 @@ class CarRacing(gym.Env, EzPickle):
 
     ```python
     >>> import gymnasium as gym
-    >>> env = gym.make("CarRacing-v2", domain_randomize=True)
+    >>> env = gym.make("CarRacing-v3", domain_randomize=True)
 
     # normal reset, this changes the colour scheme by default
     >>> obs, _ = env.reset()

diff --git a/tests/wrappers/test_normalize_observation.py b/tests/wrappers/test_normalize_observation.py
@@ -68,7 +68,7 @@ def test_update_running_mean_property():
 
 def test_normalize_obs_with_vector():
     def thunk():
-        env = gym.make("CarRacing-v2")
+        env = gym.make("CarRacing-v3")
         env = gym.wrappers.GrayscaleObservation(env)
         env = gym.wrappers.NormalizeObservation(env)
         return env