We are currently solving the following issue within our repository. Here is the issue text:
--- BEGIN ISSUE ---
Logical Failure when combing TimeLimit Wrapper with IterateOverBenchmarks
## 🐛 Bug

If an environment is first wrapper with TimeLimit before IterateOverBenchmarks, it will not return "done" as True. 

## To Reproduce

Steps to reproduce the behavior:

```
env = TimeLimit(env, step_limit) 
env = CycleOverBenchmarks(env, benchmarks) 
_, done, _, _ = env.reset()
while not done:
    _, done, _, _ = env.step(0) 
```
This will not finish. However, if the TimeLimit happens after the Cycle, it has normal behavior. 


## Additional context

Assign it to me, I will fix it when I got time. 

--- END ISSUE ---

Below are some code segments, each from a relevant file. One or more of these files may contain bugs.
--- BEGIN FILES ---
Path: `compiler_gym/wrappers/time_limit.py`
Content:
```
1 # Copyright (c) Facebook, Inc. and its affiliates.
2 #
3 # This source code is licensed under the MIT license found in the
4 # LICENSE file in the root directory of this source tree.
5 from typing import Optional
6 
7 from compiler_gym.envs import CompilerEnv
8 from compiler_gym.util.gym_type_hints import ActionType
9 from compiler_gym.wrappers.core import CompilerEnvWrapper
10 
11 
12 class TimeLimit(CompilerEnvWrapper):
13     """A step-limited wrapper that is compatible with CompilerGym.
14 
15     Example usage:
16 
17         >>> env = TimeLimit(env, max_episode_steps=3)
18         >>> env.reset()
19         >>> _, _, done, _ = env.step(0)
20         >>> _, _, done, _ = env.step(0)
21         >>> _, _, done, _ = env.step(0)
22         >>> done
23         True
24     """
25 
26     def __init__(self, env: CompilerEnv, max_episode_steps: Optional[int] = None):
27         super().__init__(env=env)
28         if max_episode_steps is None and self.env.spec is not None:
29             max_episode_steps = env.spec.max_episode_steps
30         if self.env.spec is not None:
31             self.env.spec.max_episode_steps = max_episode_steps
32         self._max_episode_steps = max_episode_steps
33         self._elapsed_steps = None
34 
35     def step(self, action: ActionType, **kwargs):
36         assert (
37             self._elapsed_steps is not None
38         ), "Cannot call env.step() before calling reset()"
39         observation, reward, done, info = self.env.step(action, **kwargs)
40         self._elapsed_steps += 1
41         if self._elapsed_steps >= self._max_episode_steps:
42             info["TimeLimit.truncated"] = not done
43             done = True
44         return observation, reward, done, info
45 
46     def reset(self, **kwargs):
47         self._elapsed_steps = 0
48         return self.env.reset(**kwargs)
49 
50     def fork(self) -> "TimeLimit":
51         """Fork the wrapped environment.
52 
53         The time limit state of the forked environment is the same as the source
54         state.
55         """
56         fkd = type(self)(env=self.env.fork(), max_episode_steps=self._max_episode_steps)
57         fkd._elapsed_steps = self._elapsed_steps  # pylint: disable=protected-access
58         return fkd
59
```
--- 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/compiler_gym/wrappers/time_limit.py b/compiler_gym/wrappers/time_limit.py
--- a/compiler_gym/wrappers/time_limit.py
+++ b/compiler_gym/wrappers/time_limit.py
@@ -2,7 +2,7 @@
 #
 # This source code is licensed under the MIT license found in the
 # LICENSE file in the root directory of this source tree.
-from typing import Optional
+from typing import Iterable, Optional
 
 from compiler_gym.envs import CompilerEnv
 from compiler_gym.util.gym_type_hints import ActionType
@@ -32,12 +32,13 @@
         self._max_episode_steps = max_episode_steps
         self._elapsed_steps = None
 
-    def step(self, action: ActionType, **kwargs):
+    def multistep(self, actions: Iterable[ActionType], **kwargs):
+        actions = list(actions)
         assert (
             self._elapsed_steps is not None
         ), "Cannot call env.step() before calling reset()"
-        observation, reward, done, info = self.env.step(action, **kwargs)
-        self._elapsed_steps += 1
+        observation, reward, done, info = self.env.multistep(actions, **kwargs)
+        self._elapsed_steps += len(actions)
         if self._elapsed_steps >= self._max_episode_steps:
             info["TimeLimit.truncated"] = not done
             done = True

{"golden_diff": "diff --git a/compiler_gym/wrappers/time_limit.py b/compiler_gym/wrappers/time_limit.py\n--- a/compiler_gym/wrappers/time_limit.py\n+++ b/compiler_gym/wrappers/time_limit.py\n@@ -2,7 +2,7 @@\n #\n # This source code is licensed under the MIT license found in the\n # LICENSE file in the root directory of this source tree.\n-from typing import Optional\n+from typing import Iterable, Optional\n \n from compiler_gym.envs import CompilerEnv\n from compiler_gym.util.gym_type_hints import ActionType\n@@ -32,12 +32,13 @@\n         self._max_episode_steps = max_episode_steps\n         self._elapsed_steps = None\n \n-    def step(self, action: ActionType, **kwargs):\n+    def multistep(self, actions: Iterable[ActionType], **kwargs):\n+        actions = list(actions)\n         assert (\n             self._elapsed_steps is not None\n         ), \"Cannot call env.step() before calling reset()\"\n-        observation, reward, done, info = self.env.step(action, **kwargs)\n-        self._elapsed_steps += 1\n+        observation, reward, done, info = self.env.multistep(actions, **kwargs)\n+        self._elapsed_steps += len(actions)\n         if self._elapsed_steps >= self._max_episode_steps:\n             info[\"TimeLimit.truncated\"] = not done\n             done = True\n", "issue": "Logical Failure when combing TimeLimit Wrapper with IterateOverBenchmarks\n## \ud83d\udc1b Bug\r\n\r\nIf an environment is first wrapper with TimeLimit before IterateOverBenchmarks, it will not return \"done\" as True. \r\n\r\n## To Reproduce\r\n\r\nSteps to reproduce the behavior:\r\n\r\n```\r\nenv = TimeLimit(env, step_limit) \r\nenv = CycleOverBenchmarks(env, benchmarks) \r\n_, done, _, _ = env.reset()\r\nwhile not done:\r\n    _, done, _, _ = env.step(0) \r\n```\r\nThis will not finish. However, if the TimeLimit happens after the Cycle, it has normal behavior. \r\n\r\n\r\n## Additional context\r\n\r\nAssign it to me, I will fix it when I got time. \n", "before_files": [{"content": "# Copyright (c) Facebook, Inc. and its affiliates.\n#\n# This source code is licensed under the MIT license found in the\n# LICENSE file in the root directory of this source tree.\nfrom typing import Optional\n\nfrom compiler_gym.envs import CompilerEnv\nfrom compiler_gym.util.gym_type_hints import ActionType\nfrom compiler_gym.wrappers.core import CompilerEnvWrapper\n\n\nclass TimeLimit(CompilerEnvWrapper):\n    \"\"\"A step-limited wrapper that is compatible with CompilerGym.\n\n    Example usage:\n\n        >>> env = TimeLimit(env, max_episode_steps=3)\n        >>> env.reset()\n        >>> _, _, done, _ = env.step(0)\n        >>> _, _, done, _ = env.step(0)\n        >>> _, _, done, _ = env.step(0)\n        >>> done\n        True\n    \"\"\"\n\n    def __init__(self, env: CompilerEnv, max_episode_steps: Optional[int] = None):\n        super().__init__(env=env)\n        if max_episode_steps is None and self.env.spec is not None:\n            max_episode_steps = env.spec.max_episode_steps\n        if self.env.spec is not None:\n            self.env.spec.max_episode_steps = max_episode_steps\n        self._max_episode_steps = max_episode_steps\n        self._elapsed_steps = None\n\n    def step(self, action: ActionType, **kwargs):\n        assert (\n            self._elapsed_steps is not None\n        ), \"Cannot call env.step() before calling reset()\"\n        observation, reward, done, info = self.env.step(action, **kwargs)\n        self._elapsed_steps += 1\n        if self._elapsed_steps >= self._max_episode_steps:\n            info[\"TimeLimit.truncated\"] = not done\n            done = True\n        return observation, reward, done, info\n\n    def reset(self, **kwargs):\n        self._elapsed_steps = 0\n        return self.env.reset(**kwargs)\n\n    def fork(self) -> \"TimeLimit\":\n        \"\"\"Fork the wrapped environment.\n\n        The time limit state of the forked environment is the same as the source\n        state.\n        \"\"\"\n        fkd = type(self)(env=self.env.fork(), max_episode_steps=self._max_episode_steps)\n        fkd._elapsed_steps = self._elapsed_steps  # pylint: disable=protected-access\n        return fkd\n", "path": "compiler_gym/wrappers/time_limit.py"}], "after_files": [{"content": "# Copyright (c) Facebook, Inc. and its affiliates.\n#\n# This source code is licensed under the MIT license found in the\n# LICENSE file in the root directory of this source tree.\nfrom typing import Iterable, Optional\n\nfrom compiler_gym.envs import CompilerEnv\nfrom compiler_gym.util.gym_type_hints import ActionType\nfrom compiler_gym.wrappers.core import CompilerEnvWrapper\n\n\nclass TimeLimit(CompilerEnvWrapper):\n    \"\"\"A step-limited wrapper that is compatible with CompilerGym.\n\n    Example usage:\n\n        >>> env = TimeLimit(env, max_episode_steps=3)\n        >>> env.reset()\n        >>> _, _, done, _ = env.step(0)\n        >>> _, _, done, _ = env.step(0)\n        >>> _, _, done, _ = env.step(0)\n        >>> done\n        True\n    \"\"\"\n\n    def __init__(self, env: CompilerEnv, max_episode_steps: Optional[int] = None):\n        super().__init__(env=env)\n        if max_episode_steps is None and self.env.spec is not None:\n            max_episode_steps = env.spec.max_episode_steps\n        if self.env.spec is not None:\n            self.env.spec.max_episode_steps = max_episode_steps\n        self._max_episode_steps = max_episode_steps\n        self._elapsed_steps = None\n\n    def multistep(self, actions: Iterable[ActionType], **kwargs):\n        actions = list(actions)\n        assert (\n            self._elapsed_steps is not None\n        ), \"Cannot call env.step() before calling reset()\"\n        observation, reward, done, info = self.env.multistep(actions, **kwargs)\n        self._elapsed_steps += len(actions)\n        if self._elapsed_steps >= self._max_episode_steps:\n            info[\"TimeLimit.truncated\"] = not done\n            done = True\n        return observation, reward, done, info\n\n    def reset(self, **kwargs):\n        self._elapsed_steps = 0\n        return self.env.reset(**kwargs)\n\n    def fork(self) -> \"TimeLimit\":\n        \"\"\"Fork the wrapped environment.\n\n        The time limit state of the forked environment is the same as the source\n        state.\n        \"\"\"\n        fkd = type(self)(env=self.env.fork(), max_episode_steps=self._max_episode_steps)\n        fkd._elapsed_steps = self._elapsed_steps  # pylint: disable=protected-access\n        return fkd\n", "path": "compiler_gym/wrappers/time_limit.py"}]}