prompt: We are currently solving the following issue within our repository. Here is the issue text:
  --- BEGIN ISSUE ---
  Support wrapper transformations to VecEnv
  @tristandeleu @pzhokhov @christopherhesse It might be rather convenient for the user experience to provide a list of wrapper transformations for the atomic environments when creating vectorized environment, e.g.
  
  ```python
  transforms = [AtariPreprocessing, SignReward, ...]
  env = gym.vector.make('Pong-v0', 16, True, transforms=transforms)
  ```
  For additional arguments, the user is required to use `partial()` to define them within the transform list. So that each internal environment is wrapped according to the transformation list. 
  
  --- END ISSUE ---
  
  Below are some code segments, each from a relevant file. One or more of these files may contain bugs.
  --- BEGIN FILES ---
  Path: `gym/vector/__init__.py`
  Content:
  ```
  1 from gym.vector.async_vector_env import AsyncVectorEnv
  2 from gym.vector.sync_vector_env import SyncVectorEnv
  3 from gym.vector.vector_env import VectorEnv
  4 
  5 __all__ = ['AsyncVectorEnv', 'SyncVectorEnv', 'VectorEnv', 'make']
  6 
  7 def make(id, num_envs=1, asynchronous=True, **kwargs):
  8     """Create a vectorized environment from multiple copies of an environment,
  9     from its id
  10 
  11     Parameters
  12     ----------
  13     id : str
  14         The environment ID. This must be a valid ID from the registry.
  15 
  16     num_envs : int
  17         Number of copies of the environment. 
  18 
  19     asynchronous : bool (default: `True`)
  20         If `True`, wraps the environments in an `AsyncVectorEnv` (which uses 
  21         `multiprocessing` to run the environments in parallel). If `False`,
  22         wraps the environments in a `SyncVectorEnv`.
  23 
  24     Returns
  25     -------
  26     env : `gym.vector.VectorEnv` instance
  27         The vectorized environment.
  28 
  29     Example
  30     -------
  31     >>> import gym
  32     >>> env = gym.vector.make('CartPole-v1', 3)
  33     >>> env.reset()
  34     array([[-0.04456399,  0.04653909,  0.01326909, -0.02099827],
  35            [ 0.03073904,  0.00145001, -0.03088818, -0.03131252],
  36            [ 0.03468829,  0.01500225,  0.01230312,  0.01825218]],
  37           dtype=float32)
  38     """
  39     from gym.envs import make as make_
  40     def _make_env():
  41         return make_(id, **kwargs)
  42     env_fns = [_make_env for _ in range(num_envs)]
  43     return AsyncVectorEnv(env_fns) if asynchronous else SyncVectorEnv(env_fns)
  44
  ```
  --- END FILES ---
  
  Please first localize the bug based on the issue statement, and then generate a patch according to the `git diff` format fenced by three backticks.
  
  Here is an example:
  
  ```diff
  diff --git a/examples/server_async.py b/examples/server_async.py
  --- a/examples/server_async.py
  +++ b/examples/server_async.py
  @@ -313,4 +313,4 @@
   
   
   if __name__ == "__main__":
  -    asyncio.run(run_async_server("."), debug=True)
  +    asyncio.run(run_async_server(), debug=True)
  diff --git a/examples/server_sync.py b/examples/server_sync.py
  --- a/examples/server_sync.py
  +++ b/examples/server_sync.py
  @@ -313,5 +313,5 @@
   
   
   if __name__ == "__main__":
  -    server = run_sync_server(".")
  +    server = run_sync_server()
       server.shutdown()
  
  ```
  
golden_diff: diff --git a/gym/vector/__init__.py b/gym/vector/__init__.py
  --- a/gym/vector/__init__.py
  +++ b/gym/vector/__init__.py
  @@ -1,10 +1,15 @@
  +try:
  +    from collections.abc import Iterable
  +except ImportError:
  +    Iterable = (tuple, list)
  +
   from gym.vector.async_vector_env import AsyncVectorEnv
   from gym.vector.sync_vector_env import SyncVectorEnv
   from gym.vector.vector_env import VectorEnv
   
   __all__ = ['AsyncVectorEnv', 'SyncVectorEnv', 'VectorEnv', 'make']
   
  -def make(id, num_envs=1, asynchronous=True, **kwargs):
  +def make(id, num_envs=1, asynchronous=True, wrappers=None, **kwargs):
       """Create a vectorized environment from multiple copies of an environment,
       from its id
   
  @@ -20,6 +25,10 @@
           If `True`, wraps the environments in an `AsyncVectorEnv` (which uses 
           `multiprocessing` to run the environments in parallel). If `False`,
           wraps the environments in a `SyncVectorEnv`.
  +        
  +    wrappers : Callable or Iterable of Callables (default: `None`)
  +        If not `None`, then apply the wrappers to each internal 
  +        environment during creation. 
   
       Returns
       -------
  @@ -38,6 +47,15 @@
       """
       from gym.envs import make as make_
       def _make_env():
  -        return make_(id, **kwargs)
  +        env = make_(id, **kwargs)
  +        if wrappers is not None:
  +            if callable(wrappers):
  +                env = wrappers(env)
  +            elif isinstance(wrappers, Iterable) and all([callable(w) for w in wrappers]):
  +                for wrapper in wrappers:
  +                    env = wrapper(env)
  +            else:
  +                raise NotImplementedError
  +        return env
       env_fns = [_make_env for _ in range(num_envs)]
       return AsyncVectorEnv(env_fns) if asynchronous else SyncVectorEnv(env_fns)
  
verification_info: {"golden_diff": "diff --git a/gym/vector/__init__.py b/gym/vector/__init__.py\n--- a/gym/vector/__init__.py\n+++ b/gym/vector/__init__.py\n@@ -1,10 +1,15 @@\n+try:\n+    from collections.abc import Iterable\n+except ImportError:\n+    Iterable = (tuple, list)\n+\n from gym.vector.async_vector_env import AsyncVectorEnv\n from gym.vector.sync_vector_env import SyncVectorEnv\n from gym.vector.vector_env import VectorEnv\n \n __all__ = ['AsyncVectorEnv', 'SyncVectorEnv', 'VectorEnv', 'make']\n \n-def make(id, num_envs=1, asynchronous=True, **kwargs):\n+def make(id, num_envs=1, asynchronous=True, wrappers=None, **kwargs):\n     \"\"\"Create a vectorized environment from multiple copies of an environment,\n     from its id\n \n@@ -20,6 +25,10 @@\n         If `True`, wraps the environments in an `AsyncVectorEnv` (which uses \n         `multiprocessing` to run the environments in parallel). If `False`,\n         wraps the environments in a `SyncVectorEnv`.\n+        \n+    wrappers : Callable or Iterable of Callables (default: `None`)\n+        If not `None`, then apply the wrappers to each internal \n+        environment during creation. \n \n     Returns\n     -------\n@@ -38,6 +47,15 @@\n     \"\"\"\n     from gym.envs import make as make_\n     def _make_env():\n-        return make_(id, **kwargs)\n+        env = make_(id, **kwargs)\n+        if wrappers is not None:\n+            if callable(wrappers):\n+                env = wrappers(env)\n+            elif isinstance(wrappers, Iterable) and all([callable(w) for w in wrappers]):\n+                for wrapper in wrappers:\n+                    env = wrapper(env)\n+            else:\n+                raise NotImplementedError\n+        return env\n     env_fns = [_make_env for _ in range(num_envs)]\n     return AsyncVectorEnv(env_fns) if asynchronous else SyncVectorEnv(env_fns)\n", "issue": "Support wrapper transformations to VecEnv\n@tristandeleu @pzhokhov @christopherhesse It might be rather convenient for the user experience to provide a list of wrapper transformations for the atomic environments when creating vectorized environment, e.g.\r\n\r\n```python\r\ntransforms = [AtariPreprocessing, SignReward, ...]\r\nenv = gym.vector.make('Pong-v0', 16, True, transforms=transforms)\r\n```\r\nFor additional arguments, the user is required to use `partial()` to define them within the transform list. So that each internal environment is wrapped according to the transformation list. \n", "before_files": [{"content": "from gym.vector.async_vector_env import AsyncVectorEnv\nfrom gym.vector.sync_vector_env import SyncVectorEnv\nfrom gym.vector.vector_env import VectorEnv\n\n__all__ = ['AsyncVectorEnv', 'SyncVectorEnv', 'VectorEnv', 'make']\n\ndef make(id, num_envs=1, asynchronous=True, **kwargs):\n    \"\"\"Create a vectorized environment from multiple copies of an environment,\n    from its id\n\n    Parameters\n    ----------\n    id : str\n        The environment ID. This must be a valid ID from the registry.\n\n    num_envs : int\n        Number of copies of the environment. \n\n    asynchronous : bool (default: `True`)\n        If `True`, wraps the environments in an `AsyncVectorEnv` (which uses \n        `multiprocessing` to run the environments in parallel). If `False`,\n        wraps the environments in a `SyncVectorEnv`.\n\n    Returns\n    -------\n    env : `gym.vector.VectorEnv` instance\n        The vectorized environment.\n\n    Example\n    -------\n    >>> import gym\n    >>> env = gym.vector.make('CartPole-v1', 3)\n    >>> env.reset()\n    array([[-0.04456399,  0.04653909,  0.01326909, -0.02099827],\n           [ 0.03073904,  0.00145001, -0.03088818, -0.03131252],\n           [ 0.03468829,  0.01500225,  0.01230312,  0.01825218]],\n          dtype=float32)\n    \"\"\"\n    from gym.envs import make as make_\n    def _make_env():\n        return make_(id, **kwargs)\n    env_fns = [_make_env for _ in range(num_envs)]\n    return AsyncVectorEnv(env_fns) if asynchronous else SyncVectorEnv(env_fns)\n", "path": "gym/vector/__init__.py"}], "after_files": [{"content": "try:\n    from collections.abc import Iterable\nexcept ImportError:\n    Iterable = (tuple, list)\n\nfrom gym.vector.async_vector_env import AsyncVectorEnv\nfrom gym.vector.sync_vector_env import SyncVectorEnv\nfrom gym.vector.vector_env import VectorEnv\n\n__all__ = ['AsyncVectorEnv', 'SyncVectorEnv', 'VectorEnv', 'make']\n\ndef make(id, num_envs=1, asynchronous=True, wrappers=None, **kwargs):\n    \"\"\"Create a vectorized environment from multiple copies of an environment,\n    from its id\n\n    Parameters\n    ----------\n    id : str\n        The environment ID. This must be a valid ID from the registry.\n\n    num_envs : int\n        Number of copies of the environment. \n\n    asynchronous : bool (default: `True`)\n        If `True`, wraps the environments in an `AsyncVectorEnv` (which uses \n        `multiprocessing` to run the environments in parallel). If `False`,\n        wraps the environments in a `SyncVectorEnv`.\n        \n    wrappers : Callable or Iterable of Callables (default: `None`)\n        If not `None`, then apply the wrappers to each internal \n        environment during creation. \n\n    Returns\n    -------\n    env : `gym.vector.VectorEnv` instance\n        The vectorized environment.\n\n    Example\n    -------\n    >>> import gym\n    >>> env = gym.vector.make('CartPole-v1', 3)\n    >>> env.reset()\n    array([[-0.04456399,  0.04653909,  0.01326909, -0.02099827],\n           [ 0.03073904,  0.00145001, -0.03088818, -0.03131252],\n           [ 0.03468829,  0.01500225,  0.01230312,  0.01825218]],\n          dtype=float32)\n    \"\"\"\n    from gym.envs import make as make_\n    def _make_env():\n        env = make_(id, **kwargs)\n        if wrappers is not None:\n            if callable(wrappers):\n                env = wrappers(env)\n            elif isinstance(wrappers, Iterable) and all([callable(w) for w in wrappers]):\n                for wrapper in wrappers:\n                    env = wrapper(env)\n            else:\n                raise NotImplementedError\n        return env\n    env_fns = [_make_env for _ in range(num_envs)]\n    return AsyncVectorEnv(env_fns) if asynchronous else SyncVectorEnv(env_fns)\n", "path": "gym/vector/__init__.py"}]}