We are currently solving the following issue within our repository. Here is the issue text:
--- BEGIN ISSUE ---
os.kill is not available in windows before python 2.7
As per the topic, the current celery implementation (>=2.3.0) crashes on windows using python 2.5 and 2.6, because it uses os.kill which is not available in windows before python 2.7


--- END ISSUE ---

Below are some code segments, each from a relevant file. One or more of these files may contain bugs.
--- BEGIN FILES ---
Path: `celery/concurrency/processes/__init__.py`
Content:
```
1 """
2 
3 Process Pools.
4 
5 """
6 import platform
7 import signal as _signal
8 
9 from os import kill as _kill
10 
11 from celery.concurrency.base import BasePool
12 from celery.concurrency.processes.pool import Pool, RUN
13 
14 if platform.system() == "Windows":  # pragma: no cover
15     # On Windows os.kill calls TerminateProcess which cannot be
16     # handled by # any process, so this is needed to terminate the task
17     # *and its children* (if any).
18     from celery.concurrency.processes import _win
19     _kill = _win.kill_processtree  # noqa
20 
21 
22 class TaskPool(BasePool):
23     """Process Pool for processing tasks in parallel.
24 
25     :param processes: see :attr:`processes`.
26     :param logger: see :attr:`logger`.
27 
28 
29     .. attribute:: limit
30 
31         The number of processes that can run simultaneously.
32 
33     .. attribute:: logger
34 
35         The logger used for debugging.
36 
37     """
38     Pool = Pool
39 
40     def on_start(self):
41         """Run the task pool.
42 
43         Will pre-fork all workers so they're ready to accept tasks.
44 
45         """
46         self._pool = self.Pool(processes=self.limit, **self.options)
47         self.on_apply = self._pool.apply_async
48 
49     def on_stop(self):
50         """Gracefully stop the pool."""
51         if self._pool is not None and self._pool._state == RUN:
52             self._pool.close()
53             self._pool.join()
54             self._pool = None
55 
56     def on_terminate(self):
57         """Force terminate the pool."""
58         if self._pool is not None:
59             self._pool.terminate()
60             self._pool = None
61 
62     def terminate_job(self, pid, signal=None):
63         _kill(pid, signal or _signal.SIGTERM)
64 
65     def grow(self, n=1):
66         return self._pool.grow(n)
67 
68     def shrink(self, n=1):
69         return self._pool.shrink(n)
70 
71     def _get_info(self):
72         return {"max-concurrency": self.limit,
73                 "processes": [p.pid for p in self._pool._pool],
74                 "max-tasks-per-child": self._pool._maxtasksperchild,
75                 "put-guarded-by-semaphore": self.putlocks,
76                 "timeouts": (self._pool.soft_timeout, self._pool.timeout)}
77 
78     @property
79     def num_processes(self):
80         return self._pool._processes
81
```
--- 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/celery/concurrency/processes/__init__.py b/celery/concurrency/processes/__init__.py
--- a/celery/concurrency/processes/__init__.py
+++ b/celery/concurrency/processes/__init__.py
@@ -6,8 +6,6 @@
 import platform
 import signal as _signal
 
-from os import kill as _kill
-
 from celery.concurrency.base import BasePool
 from celery.concurrency.processes.pool import Pool, RUN
 
@@ -17,6 +15,8 @@
     # *and its children* (if any).
     from celery.concurrency.processes import _win
     _kill = _win.kill_processtree  # noqa
+else:
+    from os import kill as _kill
 
 
 class TaskPool(BasePool):

{"golden_diff": "diff --git a/celery/concurrency/processes/__init__.py b/celery/concurrency/processes/__init__.py\n--- a/celery/concurrency/processes/__init__.py\n+++ b/celery/concurrency/processes/__init__.py\n@@ -6,8 +6,6 @@\n import platform\n import signal as _signal\n \n-from os import kill as _kill\n-\n from celery.concurrency.base import BasePool\n from celery.concurrency.processes.pool import Pool, RUN\n \n@@ -17,6 +15,8 @@\n     # *and its children* (if any).\n     from celery.concurrency.processes import _win\n     _kill = _win.kill_processtree  # noqa\n+else:\n+    from os import kill as _kill\n \n \n class TaskPool(BasePool):\n", "issue": "os.kill is not available in windows before python 2.7\nAs per the topic, the current celery implementation (>=2.3.0) crashes on windows using python 2.5 and 2.6, because it uses os.kill which is not available in windows before python 2.7\n\n", "before_files": [{"content": "\"\"\"\n\nProcess Pools.\n\n\"\"\"\nimport platform\nimport signal as _signal\n\nfrom os import kill as _kill\n\nfrom celery.concurrency.base import BasePool\nfrom celery.concurrency.processes.pool import Pool, RUN\n\nif platform.system() == \"Windows\":  # pragma: no cover\n    # On Windows os.kill calls TerminateProcess which cannot be\n    # handled by # any process, so this is needed to terminate the task\n    # *and its children* (if any).\n    from celery.concurrency.processes import _win\n    _kill = _win.kill_processtree  # noqa\n\n\nclass TaskPool(BasePool):\n    \"\"\"Process Pool for processing tasks in parallel.\n\n    :param processes: see :attr:`processes`.\n    :param logger: see :attr:`logger`.\n\n\n    .. attribute:: limit\n\n        The number of processes that can run simultaneously.\n\n    .. attribute:: logger\n\n        The logger used for debugging.\n\n    \"\"\"\n    Pool = Pool\n\n    def on_start(self):\n        \"\"\"Run the task pool.\n\n        Will pre-fork all workers so they're ready to accept tasks.\n\n        \"\"\"\n        self._pool = self.Pool(processes=self.limit, **self.options)\n        self.on_apply = self._pool.apply_async\n\n    def on_stop(self):\n        \"\"\"Gracefully stop the pool.\"\"\"\n        if self._pool is not None and self._pool._state == RUN:\n            self._pool.close()\n            self._pool.join()\n            self._pool = None\n\n    def on_terminate(self):\n        \"\"\"Force terminate the pool.\"\"\"\n        if self._pool is not None:\n            self._pool.terminate()\n            self._pool = None\n\n    def terminate_job(self, pid, signal=None):\n        _kill(pid, signal or _signal.SIGTERM)\n\n    def grow(self, n=1):\n        return self._pool.grow(n)\n\n    def shrink(self, n=1):\n        return self._pool.shrink(n)\n\n    def _get_info(self):\n        return {\"max-concurrency\": self.limit,\n                \"processes\": [p.pid for p in self._pool._pool],\n                \"max-tasks-per-child\": self._pool._maxtasksperchild,\n                \"put-guarded-by-semaphore\": self.putlocks,\n                \"timeouts\": (self._pool.soft_timeout, self._pool.timeout)}\n\n    @property\n    def num_processes(self):\n        return self._pool._processes\n", "path": "celery/concurrency/processes/__init__.py"}], "after_files": [{"content": "\"\"\"\n\nProcess Pools.\n\n\"\"\"\nimport platform\nimport signal as _signal\n\nfrom celery.concurrency.base import BasePool\nfrom celery.concurrency.processes.pool import Pool, RUN\n\nif platform.system() == \"Windows\":  # pragma: no cover\n    # On Windows os.kill calls TerminateProcess which cannot be\n    # handled by # any process, so this is needed to terminate the task\n    # *and its children* (if any).\n    from celery.concurrency.processes import _win\n    _kill = _win.kill_processtree  # noqa\nelse:\n    from os import kill as _kill\n\n\nclass TaskPool(BasePool):\n    \"\"\"Process Pool for processing tasks in parallel.\n\n    :param processes: see :attr:`processes`.\n    :param logger: see :attr:`logger`.\n\n\n    .. attribute:: limit\n\n        The number of processes that can run simultaneously.\n\n    .. attribute:: logger\n\n        The logger used for debugging.\n\n    \"\"\"\n    Pool = Pool\n\n    def on_start(self):\n        \"\"\"Run the task pool.\n\n        Will pre-fork all workers so they're ready to accept tasks.\n\n        \"\"\"\n        self._pool = self.Pool(processes=self.limit, **self.options)\n        self.on_apply = self._pool.apply_async\n\n    def on_stop(self):\n        \"\"\"Gracefully stop the pool.\"\"\"\n        if self._pool is not None and self._pool._state == RUN:\n            self._pool.close()\n            self._pool.join()\n            self._pool = None\n\n    def on_terminate(self):\n        \"\"\"Force terminate the pool.\"\"\"\n        if self._pool is not None:\n            self._pool.terminate()\n            self._pool = None\n\n    def terminate_job(self, pid, signal=None):\n        _kill(pid, signal or _signal.SIGTERM)\n\n    def grow(self, n=1):\n        return self._pool.grow(n)\n\n    def shrink(self, n=1):\n        return self._pool.shrink(n)\n\n    def _get_info(self):\n        return {\"max-concurrency\": self.limit,\n                \"processes\": [p.pid for p in self._pool._pool],\n                \"max-tasks-per-child\": self._pool._maxtasksperchild,\n                \"put-guarded-by-semaphore\": self.putlocks,\n                \"timeouts\": (self._pool.soft_timeout, self._pool.timeout)}\n\n    @property\n    def num_processes(self):\n        return self._pool._processes\n", "path": "celery/concurrency/processes/__init__.py"}]}