We are currently solving the following issue within our repository. Here is the issue text:
--- BEGIN ISSUE ---
filters.farid missing from skimage.filters documentation
## Description

The `filters.farid{,_h,_v}` functions are missing from the [`skimage.filters` documentation](https://scikit-image.org/docs/dev/api/skimage.filters.html). I presume this is because they are not it `__all__`? (No time to investigate right now.)

--- END ISSUE ---

Below are some code segments, each from a relevant file. One or more of these files may contain bugs.
--- BEGIN FILES ---
Path: `skimage/filters/__init__.py`
Content:
```
1 from .lpi_filter import inverse, wiener, LPIFilter2D
2 from ._gaussian import (gaussian, _guess_spatial_dimensions,
3                         difference_of_gaussians)
4 from .edges import (sobel, sobel_h, sobel_v,
5                     scharr, scharr_h, scharr_v,
6                     prewitt, prewitt_h, prewitt_v,
7                     roberts, roberts_pos_diag, roberts_neg_diag,
8                     laplace,
9                     farid, farid_h, farid_v)
10 from ._rank_order import rank_order
11 from ._gabor import gabor_kernel, gabor
12 from .thresholding import (threshold_local, threshold_otsu, threshold_yen,
13                            threshold_isodata, threshold_li, threshold_minimum,
14                            threshold_mean, threshold_triangle,
15                            threshold_niblack, threshold_sauvola,
16                            threshold_multiotsu, try_all_threshold,
17                            apply_hysteresis_threshold)
18 from .ridges import (meijering, sato, frangi, hessian)
19 from . import rank
20 from ._median import median
21 from ._sparse import correlate_sparse
22 from ._unsharp_mask import unsharp_mask
23 from ._window import window
24 
25 
26 __all__ = ['inverse',
27            'correlate_sparse',
28            'wiener',
29            'LPIFilter2D',
30            'gaussian',
31            'difference_of_gaussians',
32            'median',
33            'sobel',
34            'sobel_h',
35            'sobel_v',
36            'scharr',
37            'scharr_h',
38            'scharr_v',
39            'prewitt',
40            'prewitt_h',
41            'prewitt_v',
42            'roberts',
43            'roberts_pos_diag',
44            'roberts_neg_diag',
45            'laplace',
46            'rank_order',
47            'gabor_kernel',
48            'gabor',
49            'try_all_threshold',
50            'meijering',
51            'sato',
52            'frangi',
53            'hessian',
54            'threshold_otsu',
55            'threshold_yen',
56            'threshold_isodata',
57            'threshold_li',
58            'threshold_local',
59            'threshold_minimum',
60            'threshold_mean',
61            'threshold_niblack',
62            'threshold_sauvola',
63            'threshold_triangle',
64            'threshold_multiotsu',
65            'apply_hysteresis_threshold',
66            'rank',
67            'unsharp_mask',
68            'window']
69
```
--- 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/skimage/filters/__init__.py b/skimage/filters/__init__.py
--- a/skimage/filters/__init__.py
+++ b/skimage/filters/__init__.py
@@ -43,6 +43,9 @@
            'roberts_pos_diag',
            'roberts_neg_diag',
            'laplace',
+           'farid',
+           'farid_h',
+           'farid_v',
            'rank_order',
            'gabor_kernel',
            'gabor',

{"golden_diff": "diff --git a/skimage/filters/__init__.py b/skimage/filters/__init__.py\n--- a/skimage/filters/__init__.py\n+++ b/skimage/filters/__init__.py\n@@ -43,6 +43,9 @@\n            'roberts_pos_diag',\n            'roberts_neg_diag',\n            'laplace',\n+           'farid',\n+           'farid_h',\n+           'farid_v',\n            'rank_order',\n            'gabor_kernel',\n            'gabor',\n", "issue": "filters.farid missing from skimage.filters documentation\n## Description\r\n\r\nThe `filters.farid{,_h,_v}` functions are missing from the [`skimage.filters` documentation](https://scikit-image.org/docs/dev/api/skimage.filters.html). I presume this is because they are not it `__all__`? (No time to investigate right now.)\n", "before_files": [{"content": "from .lpi_filter import inverse, wiener, LPIFilter2D\nfrom ._gaussian import (gaussian, _guess_spatial_dimensions,\n                        difference_of_gaussians)\nfrom .edges import (sobel, sobel_h, sobel_v,\n                    scharr, scharr_h, scharr_v,\n                    prewitt, prewitt_h, prewitt_v,\n                    roberts, roberts_pos_diag, roberts_neg_diag,\n                    laplace,\n                    farid, farid_h, farid_v)\nfrom ._rank_order import rank_order\nfrom ._gabor import gabor_kernel, gabor\nfrom .thresholding import (threshold_local, threshold_otsu, threshold_yen,\n                           threshold_isodata, threshold_li, threshold_minimum,\n                           threshold_mean, threshold_triangle,\n                           threshold_niblack, threshold_sauvola,\n                           threshold_multiotsu, try_all_threshold,\n                           apply_hysteresis_threshold)\nfrom .ridges import (meijering, sato, frangi, hessian)\nfrom . import rank\nfrom ._median import median\nfrom ._sparse import correlate_sparse\nfrom ._unsharp_mask import unsharp_mask\nfrom ._window import window\n\n\n__all__ = ['inverse',\n           'correlate_sparse',\n           'wiener',\n           'LPIFilter2D',\n           'gaussian',\n           'difference_of_gaussians',\n           'median',\n           'sobel',\n           'sobel_h',\n           'sobel_v',\n           'scharr',\n           'scharr_h',\n           'scharr_v',\n           'prewitt',\n           'prewitt_h',\n           'prewitt_v',\n           'roberts',\n           'roberts_pos_diag',\n           'roberts_neg_diag',\n           'laplace',\n           'rank_order',\n           'gabor_kernel',\n           'gabor',\n           'try_all_threshold',\n           'meijering',\n           'sato',\n           'frangi',\n           'hessian',\n           'threshold_otsu',\n           'threshold_yen',\n           'threshold_isodata',\n           'threshold_li',\n           'threshold_local',\n           'threshold_minimum',\n           'threshold_mean',\n           'threshold_niblack',\n           'threshold_sauvola',\n           'threshold_triangle',\n           'threshold_multiotsu',\n           'apply_hysteresis_threshold',\n           'rank',\n           'unsharp_mask',\n           'window']\n", "path": "skimage/filters/__init__.py"}], "after_files": [{"content": "from .lpi_filter import inverse, wiener, LPIFilter2D\nfrom ._gaussian import (gaussian, _guess_spatial_dimensions,\n                        difference_of_gaussians)\nfrom .edges import (sobel, sobel_h, sobel_v,\n                    scharr, scharr_h, scharr_v,\n                    prewitt, prewitt_h, prewitt_v,\n                    roberts, roberts_pos_diag, roberts_neg_diag,\n                    laplace,\n                    farid, farid_h, farid_v)\nfrom ._rank_order import rank_order\nfrom ._gabor import gabor_kernel, gabor\nfrom .thresholding import (threshold_local, threshold_otsu, threshold_yen,\n                           threshold_isodata, threshold_li, threshold_minimum,\n                           threshold_mean, threshold_triangle,\n                           threshold_niblack, threshold_sauvola,\n                           threshold_multiotsu, try_all_threshold,\n                           apply_hysteresis_threshold)\nfrom .ridges import (meijering, sato, frangi, hessian)\nfrom . import rank\nfrom ._median import median\nfrom ._sparse import correlate_sparse\nfrom ._unsharp_mask import unsharp_mask\nfrom ._window import window\n\n\n__all__ = ['inverse',\n           'correlate_sparse',\n           'wiener',\n           'LPIFilter2D',\n           'gaussian',\n           'difference_of_gaussians',\n           'median',\n           'sobel',\n           'sobel_h',\n           'sobel_v',\n           'scharr',\n           'scharr_h',\n           'scharr_v',\n           'prewitt',\n           'prewitt_h',\n           'prewitt_v',\n           'roberts',\n           'roberts_pos_diag',\n           'roberts_neg_diag',\n           'laplace',\n           'farid',\n           'farid_h',\n           'farid_v',\n           'rank_order',\n           'gabor_kernel',\n           'gabor',\n           'try_all_threshold',\n           'meijering',\n           'sato',\n           'frangi',\n           'hessian',\n           'threshold_otsu',\n           'threshold_yen',\n           'threshold_isodata',\n           'threshold_li',\n           'threshold_local',\n           'threshold_minimum',\n           'threshold_mean',\n           'threshold_niblack',\n           'threshold_sauvola',\n           'threshold_triangle',\n           'threshold_multiotsu',\n           'apply_hysteresis_threshold',\n           'rank',\n           'unsharp_mask',\n           'window']\n", "path": "skimage/filters/__init__.py"}]}