prompt: 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()
  
  ```
  
golden_diff: 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',
  
verification_info: {"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"}]}