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()

```

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)

{"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"}]}