We are currently solving the following issue within our repository. Here is the issue text:
--- BEGIN ISSUE ---
DOC: Address GeoPandas op deprecation in docs
While working on #2211 I noticed instances of the `op` parameter still being used.

This `op` parameter was deprecated in pull request #1626 in favour of `predicate`.

Locations where op is still present includes:
* [sjoin benchmark](https://github.com/geopandas/geopandas/blob/master/benchmarks/sjoin.py)
* [Spatial Joins notebook](https://github.com/geopandas/geopandas/blob/master/doc/source/gallery/spatial_joins.ipynb)
 
I can address the notebook instance but I don't know what the benchmark instance of `op` does so wouldn't want to change it without a thumbs up from a maintainer.

--- END ISSUE ---

Below are some code segments, each from a relevant file. One or more of these files may contain bugs.
--- BEGIN FILES ---
Path: `benchmarks/sjoin.py`
Content:
```
1 import random
2 
3 from geopandas import GeoDataFrame, GeoSeries, sjoin
4 from shapely.geometry import Point, LineString, Polygon
5 import numpy as np
6 
7 
8 class Bench:
9 
10     param_names = ['op']
11     params = [('intersects', 'contains', 'within')]
12 
13     def setup(self, *args):
14         triangles = GeoSeries(
15             [Polygon([(random.random(), random.random()) for _ in range(3)])
16              for _ in range(1000)])
17 
18         points = GeoSeries(
19             [Point(x, y) for x, y in zip(np.random.random(10000),
20                                          np.random.random(10000))])
21 
22         df1 = GeoDataFrame({'val1': np.random.randn(len(triangles)),
23                             'geometry': triangles})
24         df2 = GeoDataFrame({'val1': np.random.randn(len(points)),
25                             'geometry': points})
26 
27         self.df1, self.df2 = df1, df2
28 
29     def time_sjoin(self, op):
30         sjoin(self.df1, self.df2, op=op)
31
```
--- 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/benchmarks/sjoin.py b/benchmarks/sjoin.py
--- a/benchmarks/sjoin.py
+++ b/benchmarks/sjoin.py
@@ -26,5 +26,5 @@
 
         self.df1, self.df2 = df1, df2
 
-    def time_sjoin(self, op):
-        sjoin(self.df1, self.df2, op=op)
+    def time_sjoin(self, predicate):
+        sjoin(self.df1, self.df2, predicate=predicate)

{"golden_diff": "diff --git a/benchmarks/sjoin.py b/benchmarks/sjoin.py\n--- a/benchmarks/sjoin.py\n+++ b/benchmarks/sjoin.py\n@@ -26,5 +26,5 @@\n \n         self.df1, self.df2 = df1, df2\n \n-    def time_sjoin(self, op):\n-        sjoin(self.df1, self.df2, op=op)\n+    def time_sjoin(self, predicate):\n+        sjoin(self.df1, self.df2, predicate=predicate)\n", "issue": "DOC: Address GeoPandas op deprecation in docs\nWhile working on #2211 I noticed instances of the `op` parameter still being used.\r\n\r\nThis `op` parameter was deprecated in pull request #1626 in favour of `predicate`.\r\n\r\nLocations where op is still present includes:\r\n* [sjoin benchmark](https://github.com/geopandas/geopandas/blob/master/benchmarks/sjoin.py)\r\n* [Spatial Joins notebook](https://github.com/geopandas/geopandas/blob/master/doc/source/gallery/spatial_joins.ipynb)\r\n \r\nI can address the notebook instance but I don't know what the benchmark instance of `op` does so wouldn't want to change it without a thumbs up from a maintainer.\n", "before_files": [{"content": "import random\n\nfrom geopandas import GeoDataFrame, GeoSeries, sjoin\nfrom shapely.geometry import Point, LineString, Polygon\nimport numpy as np\n\n\nclass Bench:\n\n    param_names = ['op']\n    params = [('intersects', 'contains', 'within')]\n\n    def setup(self, *args):\n        triangles = GeoSeries(\n            [Polygon([(random.random(), random.random()) for _ in range(3)])\n             for _ in range(1000)])\n\n        points = GeoSeries(\n            [Point(x, y) for x, y in zip(np.random.random(10000),\n                                         np.random.random(10000))])\n\n        df1 = GeoDataFrame({'val1': np.random.randn(len(triangles)),\n                            'geometry': triangles})\n        df2 = GeoDataFrame({'val1': np.random.randn(len(points)),\n                            'geometry': points})\n\n        self.df1, self.df2 = df1, df2\n\n    def time_sjoin(self, op):\n        sjoin(self.df1, self.df2, op=op)\n", "path": "benchmarks/sjoin.py"}], "after_files": [{"content": "import random\n\nfrom geopandas import GeoDataFrame, GeoSeries, sjoin\nfrom shapely.geometry import Point, LineString, Polygon\nimport numpy as np\n\n\nclass Bench:\n\n    param_names = ['op']\n    params = [('intersects', 'contains', 'within')]\n\n    def setup(self, *args):\n        triangles = GeoSeries(\n            [Polygon([(random.random(), random.random()) for _ in range(3)])\n             for _ in range(1000)])\n\n        points = GeoSeries(\n            [Point(x, y) for x, y in zip(np.random.random(10000),\n                                         np.random.random(10000))])\n\n        df1 = GeoDataFrame({'val1': np.random.randn(len(triangles)),\n                            'geometry': triangles})\n        df2 = GeoDataFrame({'val1': np.random.randn(len(points)),\n                            'geometry': points})\n\n        self.df1, self.df2 = df1, df2\n\n    def time_sjoin(self, predicate):\n        sjoin(self.df1, self.df2, predicate=predicate)\n", "path": "benchmarks/sjoin.py"}]}