autopep8

baselines/common/vec_env/__init__.py

@@ -25,9 +25,9 @@ class NotSteppingError(Exception):
 
 class VecEnv(ABC):
     """
-    An abstract asynchronous, vectorized environment. 
+    An abstract asynchronous, vectorized environment.
     Used to batch data from multiple copies of an environment, so that
-    each observation becomes an batch of observations, and expected action is a batch of actions to 
+    each observation becomes an batch of observations, and expected action is a batch of actions to
     be applied per-environment.
     """
 

baselines/common/vec_env/dummy_vec_env.py

@@ -7,14 +7,14 @@ class DummyVecEnv(VecEnv):
     """
     VecEnv that does runs multiple environments sequentially, that is,
     the step and reset commands are send to one environment at a time.
-    Useful when debugging and when num_env == 1 (in the latter case, 
+    Useful when debugging and when num_env == 1 (in the latter case,
     avoids communication overhead)
     """
     def __init__(self, env_fns):
         """
         Arguments:
-    
+
-        env_fns: iterable of callables      functions that build environments   
+        env_fns: iterable of callables      functions that build environments
         """
         self.envs = [fn() for fn in env_fns]
         env = self.envs[0]

baselines/common/vec_env/subproc_vec_env.py

@@ -33,8 +33,8 @@ def worker(remote, parent_remote, env_fn_wrapper):
 
 class SubprocVecEnv(VecEnv):
     """
-    VecEnv that runs multiple environments in parallel in subproceses and communicates with them via pipes. 
+    VecEnv that runs multiple environments in parallel in subproceses and communicates with them via pipes.
-    Recommended to use when num_envs > 1 and step() can be a bottleneck. 
+    Recommended to use when num_envs > 1 and step() can be a bottleneck.
     """
     def __init__(self, env_fns, spaces=None):
         """