prompt: You will be provided with a partial code base and an issue statement explaining a problem to resolve.
  <issue>
  ModuleNotFoundError when running the official pytorch colab notebook
  ![image](https://user-images.githubusercontent.com/33608782/184685789-951935c7-1725-4a23-944d-8d48b32bf76c.png)
  
  I can replicate the error at multiple official pytorch colab notebooks, e.g. 
  
  https://colab.research.google.com/github/d2l-ai/d2l-pytorch-colab/blob/master/chapter_linear-classification/image-classification-dataset.ipynb#scrollTo=ee445cce
  
  
  
  
  </issue>
  <code>
  [start of setup.py]
  1 from setuptools import setup, find_packages
  2 import d2l
  3 
  4 requirements = [
  5     'ipython>=7.23',
  6     'jupyter',
  7     'numpy',
  8     'matplotlib',
  9     'requests',
  10     'pandas',
  11     'gym'
  12 ]
  13 
  14 setup(
  15     name='d2l',
  16     version=d2l.__version__,
  17     python_requires='>=3.5',
  18     author='D2L Developers',
  19     author_email='d2l.devs@gmail.com',
  20     url='https://d2l.ai',
  21     description='Dive into Deep Learning',
  22     license='MIT-0',
  23     packages=find_packages(),
  24     zip_safe=True,
  25     install_requires=requirements,
  26 )
  27
  [end of setup.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/setup.py b/setup.py
  --- a/setup.py
  +++ b/setup.py
  @@ -2,10 +2,10 @@
   import d2l
   
   requirements = [
  -    'ipython>=7.23',
       'jupyter',
       'numpy',
       'matplotlib',
  +    'matplotlib-inline',
       'requests',
       'pandas',
       'gym'
  
verification_info: {"golden_diff": "diff --git a/setup.py b/setup.py\n--- a/setup.py\n+++ b/setup.py\n@@ -2,10 +2,10 @@\n import d2l\n \n requirements = [\n-    'ipython>=7.23',\n     'jupyter',\n     'numpy',\n     'matplotlib',\n+    'matplotlib-inline',\n     'requests',\n     'pandas',\n     'gym'\n", "issue": "ModuleNotFoundError when running the official pytorch colab notebook\n![image](https://user-images.githubusercontent.com/33608782/184685789-951935c7-1725-4a23-944d-8d48b32bf76c.png)\r\n\r\nI can replicate the error at multiple official pytorch colab notebooks, e.g. \r\n\r\nhttps://colab.research.google.com/github/d2l-ai/d2l-pytorch-colab/blob/master/chapter_linear-classification/image-classification-dataset.ipynb#scrollTo=ee445cce\r\n\r\n\r\n\n", "before_files": [{"content": "from setuptools import setup, find_packages\nimport d2l\n\nrequirements = [\n    'ipython>=7.23',\n    'jupyter',\n    'numpy',\n    'matplotlib',\n    'requests',\n    'pandas',\n    'gym'\n]\n\nsetup(\n    name='d2l',\n    version=d2l.__version__,\n    python_requires='>=3.5',\n    author='D2L Developers',\n    author_email='d2l.devs@gmail.com',\n    url='https://d2l.ai',\n    description='Dive into Deep Learning',\n    license='MIT-0',\n    packages=find_packages(),\n    zip_safe=True,\n    install_requires=requirements,\n)\n", "path": "setup.py"}]}