We are currently solving the following issue within our repository. Here is the issue text:
--- BEGIN ISSUE ---
reify docstring doesn't render properly
The testsetup section is omitted from the rendered docs at http://pyramid.readthedocs.io/en/latest/api/decorator.html#pyramid.decorator.reify

Unfortunately this section is essential for understanding the example.


--- END ISSUE ---

Below are some code segments, each from a relevant file. One or more of these files may contain bugs.
--- BEGIN FILES ---
Path: `pyramid/decorator.py`
Content:
```
1 from functools import update_wrapper
2 
3 
4 class reify(object):
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.  An example:
10 
11     .. testsetup::
12 
13         from pyramid.decorator import reify
14 
15         class Foo(object):
16             @reify
17             def jammy(self):
18                 print('jammy called')
19                 return 1
20 
21     And usage of Foo:
22 
23     .. doctest::
24 
25         >>> f = Foo()
26         >>> v = f.jammy
27         jammy called
28         >>> print(v)
29         1
30         >>> f.jammy
31         1
32         >>> # jammy func not called the second time; it replaced itself with 1
33         >>> # Note: reassignment is possible
34         >>> f.jammy = 2
35         >>> f.jammy
36         2
37     """
38     def __init__(self, wrapped):
39         self.wrapped = wrapped
40         update_wrapper(self, wrapped)
41 
42     def __get__(self, inst, objtype=None):
43         if inst is None:
44             return self
45         val = self.wrapped(inst)
46         setattr(inst, self.wrapped.__name__, val)
47         return val
48 
49
```
--- 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/pyramid/decorator.py b/pyramid/decorator.py
--- a/pyramid/decorator.py
+++ b/pyramid/decorator.py
@@ -8,6 +8,16 @@
     replacing the function it decorates with an instance variable.  It is, in
     Python parlance, a non-data descriptor.  An example:
 
+    .. code-block:: python
+
+        from pyramid.decorator import reify
+
+        class Foo(object):
+            @reify
+            def jammy(self):
+                print('jammy called')
+                return 1
+
     .. testsetup::
 
         from pyramid.decorator import reify

{"golden_diff": "diff --git a/pyramid/decorator.py b/pyramid/decorator.py\n--- a/pyramid/decorator.py\n+++ b/pyramid/decorator.py\n@@ -8,6 +8,16 @@\n     replacing the function it decorates with an instance variable.  It is, in\n     Python parlance, a non-data descriptor.  An example:\n \n+    .. code-block:: python\n+\n+        from pyramid.decorator import reify\n+\n+        class Foo(object):\n+            @reify\n+            def jammy(self):\n+                print('jammy called')\n+                return 1\n+\n     .. testsetup::\n \n         from pyramid.decorator import reify\n", "issue": "reify docstring doesn't render properly\nThe testsetup section is omitted from the rendered docs at http://pyramid.readthedocs.io/en/latest/api/decorator.html#pyramid.decorator.reify\n\nUnfortunately this section is essential for understanding the example.\n\n", "before_files": [{"content": "from functools import update_wrapper\n\n\nclass reify(object):\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.  An example:\n\n    .. testsetup::\n\n        from pyramid.decorator import reify\n\n        class Foo(object):\n            @reify\n            def jammy(self):\n                print('jammy called')\n                return 1\n\n    And usage of Foo:\n\n    .. doctest::\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    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        setattr(inst, self.wrapped.__name__, val)\n        return val\n\n", "path": "pyramid/decorator.py"}], "after_files": [{"content": "from functools import update_wrapper\n\n\nclass reify(object):\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.  An example:\n\n    .. code-block:: python\n\n        from pyramid.decorator import reify\n\n        class Foo(object):\n            @reify\n            def jammy(self):\n                print('jammy called')\n                return 1\n\n    .. testsetup::\n\n        from pyramid.decorator import reify\n\n        class Foo(object):\n            @reify\n            def jammy(self):\n                print('jammy called')\n                return 1\n\n    And usage of Foo:\n\n    .. doctest::\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    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        setattr(inst, self.wrapped.__name__, val)\n        return val\n\n", "path": "pyramid/decorator.py"}]}