We are currently solving the following issue within our repository. Here is the issue text:
--- BEGIN ISSUE ---
Sphinx doesn't like the reify decorator
> Failed to get a method signature for kinto.core.resource.Resource.timestamp: <pyramid.decorator.reify object at 0x7f175ae45640> is not a callable object

If I understand correctly this is because the reify decorator doesn't pass along the function signature.


--- END ISSUE ---

Below are some code segments, each from a relevant file. One or more of these files may contain bugs.
--- BEGIN FILES ---
Path: `src/pyramid/decorator.py`
Content:
```
1 from functools import update_wrapper
2 
3 
4 class reify:
5     """Use as a class method decorator.  It operates almost exactly like the
6     Python ``@property`` decorator, but it puts the result of the method it
7     decorates into the instance dict after the first call, effectively
8     replacing the function it decorates with an instance variable.  It is, in
9     Python parlance, a non-data descriptor.  The following is an example and
10     its usage:
11 
12     .. doctest::
13 
14         >>> from pyramid.decorator import reify
15 
16         >>> class Foo:
17         ...     @reify
18         ...     def jammy(self):
19         ...         print('jammy called')
20         ...         return 1
21 
22         >>> f = Foo()
23         >>> v = f.jammy
24         jammy called
25         >>> print(v)
26         1
27         >>> f.jammy
28         1
29         >>> # jammy func not called the second time; it replaced itself with 1
30         >>> # Note: reassignment is possible
31         >>> f.jammy = 2
32         >>> f.jammy
33         2
34     """
35 
36     def __init__(self, wrapped):
37         self.wrapped = wrapped
38         update_wrapper(self, wrapped)
39 
40     def __get__(self, inst, objtype=None):
41         if inst is None:
42             return self
43         val = self.wrapped(inst)
44         # reify is a non-data-descriptor which is leveraging the fact
45         # that it is not invoked if the equivalent attribute is defined in the
46         # object's dict, so the setattr here effectively hides this descriptor
47         # from subsequent lookups
48         setattr(inst, self.wrapped.__name__, val)
49         return val
50
```
--- 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/src/pyramid/decorator.py b/src/pyramid/decorator.py
--- a/src/pyramid/decorator.py
+++ b/src/pyramid/decorator.py
@@ -1,6 +1,3 @@
-from functools import update_wrapper
-
-
 class reify:
     """Use as a class method decorator.  It operates almost exactly like the
     Python ``@property`` decorator, but it puts the result of the method it
@@ -35,7 +32,7 @@
 
     def __init__(self, wrapped):
         self.wrapped = wrapped
-        update_wrapper(self, wrapped)
+        self.__doc__ = wrapped.__doc__
 
     def __get__(self, inst, objtype=None):
         if inst is None:

{"golden_diff": "diff --git a/src/pyramid/decorator.py b/src/pyramid/decorator.py\n--- a/src/pyramid/decorator.py\n+++ b/src/pyramid/decorator.py\n@@ -1,6 +1,3 @@\n-from functools import update_wrapper\n-\n-\n class reify:\n     \"\"\"Use as a class method decorator.  It operates almost exactly like the\n     Python ``@property`` decorator, but it puts the result of the method it\n@@ -35,7 +32,7 @@\n \n     def __init__(self, wrapped):\n         self.wrapped = wrapped\n-        update_wrapper(self, wrapped)\n+        self.__doc__ = wrapped.__doc__\n \n     def __get__(self, inst, objtype=None):\n         if inst is None:\n", "issue": "Sphinx doesn't like the reify decorator\n> Failed to get a method signature for kinto.core.resource.Resource.timestamp: <pyramid.decorator.reify object at 0x7f175ae45640> is not a callable object\r\n\r\nIf I understand correctly this is because the reify decorator doesn't pass along the function signature.\r\n\n", "before_files": [{"content": "from functools import update_wrapper\n\n\nclass reify:\n    \"\"\"Use as a class method decorator.  It operates almost exactly like the\n    Python ``@property`` decorator, but it puts the result of the method it\n    decorates into the instance dict after the first call, effectively\n    replacing the function it decorates with an instance variable.  It is, in\n    Python parlance, a non-data descriptor.  The following is an example and\n    its usage:\n\n    .. doctest::\n\n        >>> from pyramid.decorator import reify\n\n        >>> class Foo:\n        ...     @reify\n        ...     def jammy(self):\n        ...         print('jammy called')\n        ...         return 1\n\n        >>> f = Foo()\n        >>> v = f.jammy\n        jammy called\n        >>> print(v)\n        1\n        >>> f.jammy\n        1\n        >>> # jammy func not called the second time; it replaced itself with 1\n        >>> # Note: reassignment is possible\n        >>> f.jammy = 2\n        >>> f.jammy\n        2\n    \"\"\"\n\n    def __init__(self, wrapped):\n        self.wrapped = wrapped\n        update_wrapper(self, wrapped)\n\n    def __get__(self, inst, objtype=None):\n        if inst is None:\n            return self\n        val = self.wrapped(inst)\n        # reify is a non-data-descriptor which is leveraging the fact\n        # that it is not invoked if the equivalent attribute is defined in the\n        # object's dict, so the setattr here effectively hides this descriptor\n        # from subsequent lookups\n        setattr(inst, self.wrapped.__name__, val)\n        return val\n", "path": "src/pyramid/decorator.py"}], "after_files": [{"content": "class reify:\n    \"\"\"Use as a class method decorator.  It operates almost exactly like the\n    Python ``@property`` decorator, but it puts the result of the method it\n    decorates into the instance dict after the first call, effectively\n    replacing the function it decorates with an instance variable.  It is, in\n    Python parlance, a non-data descriptor.  The following is an example and\n    its usage:\n\n    .. doctest::\n\n        >>> from pyramid.decorator import reify\n\n        >>> class Foo:\n        ...     @reify\n        ...     def jammy(self):\n        ...         print('jammy called')\n        ...         return 1\n\n        >>> f = Foo()\n        >>> v = f.jammy\n        jammy called\n        >>> print(v)\n        1\n        >>> f.jammy\n        1\n        >>> # jammy func not called the second time; it replaced itself with 1\n        >>> # Note: reassignment is possible\n        >>> f.jammy = 2\n        >>> f.jammy\n        2\n    \"\"\"\n\n    def __init__(self, wrapped):\n        self.wrapped = wrapped\n        self.__doc__ = wrapped.__doc__\n\n    def __get__(self, inst, objtype=None):\n        if inst is None:\n            return self\n        val = self.wrapped(inst)\n        # reify is a non-data-descriptor which is leveraging the fact\n        # that it is not invoked if the equivalent attribute is defined in the\n        # object's dict, so the setattr here effectively hides this descriptor\n        # from subsequent lookups\n        setattr(inst, self.wrapped.__name__, val)\n        return val\n", "path": "src/pyramid/decorator.py"}]}