prompt: We are currently solving the following issue within our repository. Here is the issue text:
  --- BEGIN ISSUE ---
  module 'skimage.filters' has no attribute 'denoise_tv_chambolle' 
  There are a couple of undefined symbols in [`filters` module](https://github.com/scikit-image/scikit-image/blob/master/skimage/filters/__init__.py#L46-L48)
  
  Thus `from skimage.filters import *` gives:
  
  ```
  AttributeError: module 'skimage.filters' has no attribute 'denoise_tv_chambolle'
  ```
  
  --- 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
  3 from .edges import (sobel, sobel_h, sobel_v,
  4                     scharr, scharr_h, scharr_v,
  5                     prewitt, prewitt_h, prewitt_v,
  6                     roberts, roberts_pos_diag, roberts_neg_diag,
  7                     laplace)
  8 from ._rank_order import rank_order
  9 from ._gabor import gabor_kernel, gabor
  10 from ._frangi import frangi, hessian
  11 from .thresholding import (threshold_local,
  12                            threshold_adaptive, threshold_otsu, threshold_yen,
  13                            threshold_isodata, threshold_li, threshold_minimum,
  14                            threshold_mean, threshold_triangle,
  15                            threshold_niblack, threshold_sauvola,
  16                            try_all_threshold)
  17 from . import rank
  18 from .rank import median
  19 
  20 from .._shared.utils import deprecated, copy_func
  21 
  22 
  23 gaussian_filter = copy_func(gaussian, name='gaussian_filter')
  24 gaussian_filter = deprecated('skimage.filters.gaussian')(gaussian_filter)
  25 gabor_filter = copy_func(gabor, name='gabor_filter')
  26 gabor_filter = deprecated('skimage.filters.gabor')(gabor_filter)
  27 
  28 __all__ = ['inverse',
  29            'wiener',
  30            'LPIFilter2D',
  31            'gaussian',
  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            'denoise_tv_chambolle',
  47            'denoise_bilateral',
  48            'denoise_tv_bregman',
  49            'rank_order',
  50            'gabor_kernel',
  51            'gabor',
  52            'try_all_threshold',
  53            'frangi',
  54            'hessian',
  55            'threshold_adaptive',
  56            'threshold_otsu',
  57            'threshold_yen',
  58            'threshold_isodata',
  59            'threshold_li',
  60            'threshold_minimum',
  61            'threshold_mean',
  62            'threshold_niblack',
  63            'threshold_sauvola',
  64            'threshold_triangle',
  65            'rank']
  66
  ```
  --- 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
  @@ -43,9 +43,6 @@
              'roberts_pos_diag',
              'roberts_neg_diag',
              'laplace',
  -           'denoise_tv_chambolle',
  -           'denoise_bilateral',
  -           'denoise_tv_bregman',
              '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@@ -43,9 +43,6 @@\n            'roberts_pos_diag',\n            'roberts_neg_diag',\n            'laplace',\n-           'denoise_tv_chambolle',\n-           'denoise_bilateral',\n-           'denoise_tv_bregman',\n            'rank_order',\n            'gabor_kernel',\n            'gabor',\n", "issue": "module 'skimage.filters' has no attribute 'denoise_tv_chambolle' \nThere are a couple of undefined symbols in [`filters` module](https://github.com/scikit-image/scikit-image/blob/master/skimage/filters/__init__.py#L46-L48)\r\n\r\nThus `from skimage.filters import *` gives:\r\n\r\n```\r\nAttributeError: module 'skimage.filters' has no attribute 'denoise_tv_chambolle'\r\n```\n", "before_files": [{"content": "from .lpi_filter import inverse, wiener, LPIFilter2D\nfrom ._gaussian import gaussian\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)\nfrom ._rank_order import rank_order\nfrom ._gabor import gabor_kernel, gabor\nfrom ._frangi import frangi, hessian\nfrom .thresholding import (threshold_local,\n                           threshold_adaptive, threshold_otsu, threshold_yen,\n                           threshold_isodata, threshold_li, threshold_minimum,\n                           threshold_mean, threshold_triangle,\n                           threshold_niblack, threshold_sauvola,\n                           try_all_threshold)\nfrom . import rank\nfrom .rank import median\n\nfrom .._shared.utils import deprecated, copy_func\n\n\ngaussian_filter = copy_func(gaussian, name='gaussian_filter')\ngaussian_filter = deprecated('skimage.filters.gaussian')(gaussian_filter)\ngabor_filter = copy_func(gabor, name='gabor_filter')\ngabor_filter = deprecated('skimage.filters.gabor')(gabor_filter)\n\n__all__ = ['inverse',\n           'wiener',\n           'LPIFilter2D',\n           'gaussian',\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           'denoise_tv_chambolle',\n           'denoise_bilateral',\n           'denoise_tv_bregman',\n           'rank_order',\n           'gabor_kernel',\n           'gabor',\n           'try_all_threshold',\n           'frangi',\n           'hessian',\n           'threshold_adaptive',\n           'threshold_otsu',\n           'threshold_yen',\n           'threshold_isodata',\n           'threshold_li',\n           'threshold_minimum',\n           'threshold_mean',\n           'threshold_niblack',\n           'threshold_sauvola',\n           'threshold_triangle',\n           'rank']\n", "path": "skimage/filters/__init__.py"}], "after_files": [{"content": "from .lpi_filter import inverse, wiener, LPIFilter2D\nfrom ._gaussian import gaussian\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)\nfrom ._rank_order import rank_order\nfrom ._gabor import gabor_kernel, gabor\nfrom ._frangi import frangi, hessian\nfrom .thresholding import (threshold_local,\n                           threshold_adaptive, threshold_otsu, threshold_yen,\n                           threshold_isodata, threshold_li, threshold_minimum,\n                           threshold_mean, threshold_triangle,\n                           threshold_niblack, threshold_sauvola,\n                           try_all_threshold)\nfrom . import rank\nfrom .rank import median\n\nfrom .._shared.utils import deprecated, copy_func\n\n\ngaussian_filter = copy_func(gaussian, name='gaussian_filter')\ngaussian_filter = deprecated('skimage.filters.gaussian')(gaussian_filter)\ngabor_filter = copy_func(gabor, name='gabor_filter')\ngabor_filter = deprecated('skimage.filters.gabor')(gabor_filter)\n\n__all__ = ['inverse',\n           'wiener',\n           'LPIFilter2D',\n           'gaussian',\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           'frangi',\n           'hessian',\n           'threshold_adaptive',\n           'threshold_otsu',\n           'threshold_yen',\n           'threshold_isodata',\n           'threshold_li',\n           'threshold_minimum',\n           'threshold_mean',\n           'threshold_niblack',\n           'threshold_sauvola',\n           'threshold_triangle',\n           'rank']\n", "path": "skimage/filters/__init__.py"}]}