prompt: You will be provided with a partial code base and an issue statement explaining a problem to resolve.
  <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'
  ```
  
  </issue>
  <code>
  [start of skimage/filters/__init__.py]
  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 of skimage/filters/__init__.py]
  </code>
  
  I need you to solve this issue by generating a single patch file that I can apply directly to this repository using git apply. Please respond with a single patch file in the following format.
  <patch>
  diff --git a/file.py b/file.py
  --- a/file.py
  +++ b/file.py
  @@ -1,27 +1,35 @@
   def euclidean(a, b):
  -    while b:
  -        a, b = b, a % b
  -    return a
  +    if b == 0:
  +        return a
  +    return euclidean(b, a % b)
   
   
   def bresenham(x0, y0, x1, y1):
       points = []
       dx = abs(x1 - x0)
       dy = abs(y1 - y0)
  -    sx = 1 if x0 < x1 else -1
  -    sy = 1 if y0 < y1 else -1
  -    err = dx - dy
  +    x, y = x0, y0
  +    sx = -1 if x0 > x1 else 1
  +    sy = -1 if y0 > y1 else 1
   
  -    while True:
  -        points.append((x0, y0))
  -        if x0 == x1 and y0 == y1:
  -            break
  -        e2 = 2 * err
  -        if e2 > -dy:
  -            err -= dy
  -            x0 += sx
  -        if e2 < dx:
  -            err += dx
  -            y0 += sy
  +    if dx > dy:
  +        err = dx / 2.0
  +        while x != x1:
  +            points.append((x, y))
  +            err -= dy
  +            if err < 0:
  +                y += sy
  +                err += dx
  +            x += sx
  +    else:
  +        err = dy / 2.0
  +        while y != y1:
  +            points.append((x, y))
  +            err -= dx
  +            if err < 0:
  +                x += sx
  +                err += dy
  +            y += sy
  +
  +    points.append((x, y))
       return points
  
  </patch>
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"}]}