prompt: You will be provided with a partial code base and an issue statement explaining a problem to resolve.
  <issue>
  [MXNet] matplotlib >=3.5 raises TypeError with ax.plot_wireframe in MXNet ndarray
  With the latest version of matplotlib, multiple notebooks fail with a type error in mxnet (mxnet==1.7.0 & CUDA 10.2). Some of the affected sections include [optimization intro](https://d2l.ai/chapter_optimization/optimization-intro.html), [integral calculus](https://d2l.ai/chapter_appendix-mathematics-for-deep-learning/integral-calculus.html), [multivariable calculus](https://d2l.ai/chapter_appendix-mathematics-for-deep-learning/multivariable-calculus.html) etc.
  
  ```
  TypeError: no implementation found for 'numpy.column_stack' on types that implement __array_function__: [<class 'mxnet.numpy.ndarray'>, <class 'numpy.ndarray'>]
  ```
  
  Please see attached traceback and reproduction instructions below.
  
  Steps to reproduce the issue.
  
  1. Setup the d2l environment (using `static/build.yml`)
  2. While setting up the environment, it will automatically install the latest version of matplotlib (i.e. `matplotlib==3.5.1` as of today).  
  
  Run one of the notebooks which is affected (mentioned above) 
  
  <details>
    <summary>Click to expand: Error Traceback</summary>
  
  ```
  ---------------------------------------------------------------------------
  TypeError                                 Traceback (most recent call last)
  Input In [7], in <module>
        9 # Plot function
       10 ax = d2l.plt.figure().add_subplot(111, projection='3d')
  ---> 11 ax.plot_wireframe(x, y, z, **{'rstride': 10, 'cstride': 10})
       12 ax.plot_wireframe(x, y, w, **{'rstride': 10, 'cstride': 10}, color='purple')
       13 d2l.plt.xlabel('x')
  
  File ~/miniconda3/envs/mpl_d2l/lib/python3.8/site-packages/matplotlib/_api/deprecation.py:412, in delete_parameter.<locals>.wrapper(*inner_args, **inner_kwargs)
      402     deprecation_addendum = (
      403         f"If any parameter follows {name!r}, they should be passed as "
      404         f"keyword, not positionally.")
      405     warn_deprecated(
      406         since,
      407         name=repr(name),
     (...)
      410                  else deprecation_addendum,
      411         **kwargs)
  --> 412 return func(*inner_args, **inner_kwargs)
  
  File ~/miniconda3/envs/mpl_d2l/lib/python3.8/site-packages/mpl_toolkits/mplot3d/axes3d.py:1908, in Axes3D.plot_wireframe(self, X, Y, Z, *args, **kwargs)
     1906 linec = art3d.Line3DCollection(lines, *args, **kwargs)
     1907 self.add_collection(linec)
  -> 1908 self.auto_scale_xyz(X, Y, Z, had_data)
     1910 return linec
  
  File ~/miniconda3/envs/mpl_d2l/lib/python3.8/site-packages/mpl_toolkits/mplot3d/axes3d.py:658, in Axes3D.auto_scale_xyz(self, X, Y, Z, had_data)
      656     self.xy_dataLim.update_from_data_y(Y, not had_data)
      657 if Z is not None:
  --> 658     self.zz_dataLim.update_from_data_x(Z, not had_data)
      659 # Let autoscale_view figure out how to use this data.
      660 self.autoscale_view()
  
  File ~/miniconda3/envs/mpl_d2l/lib/python3.8/site-packages/matplotlib/transforms.py:922, in Bbox.update_from_data_x(self, x, ignore)
      906 """
      907 Update the x-bounds of the `Bbox` based on the passed in data. After
      908 updating, the bounds will have positive *width*, and *x0* will be the
     (...)
      919    - When ``None``, use the last value passed to :meth:`ignore`.
      920 """
      921 x = np.ravel(x)
  --> 922 self.update_from_data_xy(np.column_stack([x, np.ones(x.size)]),
      923                          ignore=ignore, updatey=False)
  
  File <__array_function__ internals>:180, in column_stack(*args, **kwargs)
  
  TypeError: no implementation found for 'numpy.column_stack' on types that implement __array_function__: [<class 'mxnet.numpy.ndarray'>, <class 'numpy.ndarray'>]
  ```
  
  </details>
  
  This is another issue validating the need of #2044.
  
  A simple solution for now is to pin the matplotlib version to 1.4. I'll send a PR for this.
  
  cc @astonzhang 
  
  </issue>
  <code>
  [start of setup.py]
  1 from setuptools import setup, find_packages
  2 import d2l
  3 
  4 requirements = [
  5     'jupyter',
  6     'numpy',
  7     'matplotlib==3.4',
  8     'requests',
  9     'pandas',
  10     'gym'
  11 ]
  12 
  13 setup(
  14     name='d2l',
  15     version=d2l.__version__,
  16     python_requires='>=3.5',
  17     author='D2L Developers',
  18     author_email='d2l.devs@gmail.com',
  19     url='https://d2l.ai',
  20     description='Dive into Deep Learning',
  21     license='MIT-0',
  22     packages=find_packages(),
  23     zip_safe=True,
  24     install_requires=requirements,
  25 )
  26
  [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
  @@ -4,7 +4,7 @@
   requirements = [
       'jupyter',
       'numpy',
  -    'matplotlib==3.4',
  +    'matplotlib',
       'requests',
       'pandas',
       'gym'
  
verification_info: {"golden_diff": "diff --git a/setup.py b/setup.py\n--- a/setup.py\n+++ b/setup.py\n@@ -4,7 +4,7 @@\n requirements = [\n     'jupyter',\n     'numpy',\n-    'matplotlib==3.4',\n+    'matplotlib',\n     'requests',\n     'pandas',\n     'gym'\n", "issue": "[MXNet] matplotlib >=3.5 raises TypeError with ax.plot_wireframe in MXNet ndarray\nWith the latest version of matplotlib, multiple notebooks fail with a type error in mxnet (mxnet==1.7.0 & CUDA 10.2). Some of the affected sections include [optimization intro](https://d2l.ai/chapter_optimization/optimization-intro.html), [integral calculus](https://d2l.ai/chapter_appendix-mathematics-for-deep-learning/integral-calculus.html), [multivariable calculus](https://d2l.ai/chapter_appendix-mathematics-for-deep-learning/multivariable-calculus.html) etc.\r\n\r\n```\r\nTypeError: no implementation found for 'numpy.column_stack' on types that implement __array_function__: [<class 'mxnet.numpy.ndarray'>, <class 'numpy.ndarray'>]\r\n```\r\n\r\nPlease see attached traceback and reproduction instructions below.\r\n\r\nSteps to reproduce the issue.\r\n\r\n1. Setup the d2l environment (using `static/build.yml`)\r\n2. While setting up the environment, it will automatically install the latest version of matplotlib (i.e. `matplotlib==3.5.1` as of today).  \r\n\r\nRun one of the notebooks which is affected (mentioned above) \r\n\r\n<details>\r\n  <summary>Click to expand: Error Traceback</summary>\r\n\r\n```\r\n---------------------------------------------------------------------------\r\nTypeError                                 Traceback (most recent call last)\r\nInput In [7], in <module>\r\n      9 # Plot function\r\n     10 ax = d2l.plt.figure().add_subplot(111, projection='3d')\r\n---> 11 ax.plot_wireframe(x, y, z, **{'rstride': 10, 'cstride': 10})\r\n     12 ax.plot_wireframe(x, y, w, **{'rstride': 10, 'cstride': 10}, color='purple')\r\n     13 d2l.plt.xlabel('x')\r\n\r\nFile ~/miniconda3/envs/mpl_d2l/lib/python3.8/site-packages/matplotlib/_api/deprecation.py:412, in delete_parameter.<locals>.wrapper(*inner_args, **inner_kwargs)\r\n    402     deprecation_addendum = (\r\n    403         f\"If any parameter follows {name!r}, they should be passed as \"\r\n    404         f\"keyword, not positionally.\")\r\n    405     warn_deprecated(\r\n    406         since,\r\n    407         name=repr(name),\r\n   (...)\r\n    410                  else deprecation_addendum,\r\n    411         **kwargs)\r\n--> 412 return func(*inner_args, **inner_kwargs)\r\n\r\nFile ~/miniconda3/envs/mpl_d2l/lib/python3.8/site-packages/mpl_toolkits/mplot3d/axes3d.py:1908, in Axes3D.plot_wireframe(self, X, Y, Z, *args, **kwargs)\r\n   1906 linec = art3d.Line3DCollection(lines, *args, **kwargs)\r\n   1907 self.add_collection(linec)\r\n-> 1908 self.auto_scale_xyz(X, Y, Z, had_data)\r\n   1910 return linec\r\n\r\nFile ~/miniconda3/envs/mpl_d2l/lib/python3.8/site-packages/mpl_toolkits/mplot3d/axes3d.py:658, in Axes3D.auto_scale_xyz(self, X, Y, Z, had_data)\r\n    656     self.xy_dataLim.update_from_data_y(Y, not had_data)\r\n    657 if Z is not None:\r\n--> 658     self.zz_dataLim.update_from_data_x(Z, not had_data)\r\n    659 # Let autoscale_view figure out how to use this data.\r\n    660 self.autoscale_view()\r\n\r\nFile ~/miniconda3/envs/mpl_d2l/lib/python3.8/site-packages/matplotlib/transforms.py:922, in Bbox.update_from_data_x(self, x, ignore)\r\n    906 \"\"\"\r\n    907 Update the x-bounds of the `Bbox` based on the passed in data. After\r\n    908 updating, the bounds will have positive *width*, and *x0* will be the\r\n   (...)\r\n    919    - When ``None``, use the last value passed to :meth:`ignore`.\r\n    920 \"\"\"\r\n    921 x = np.ravel(x)\r\n--> 922 self.update_from_data_xy(np.column_stack([x, np.ones(x.size)]),\r\n    923                          ignore=ignore, updatey=False)\r\n\r\nFile <__array_function__ internals>:180, in column_stack(*args, **kwargs)\r\n\r\nTypeError: no implementation found for 'numpy.column_stack' on types that implement __array_function__: [<class 'mxnet.numpy.ndarray'>, <class 'numpy.ndarray'>]\r\n```\r\n\r\n</details>\r\n\r\nThis is another issue validating the need of #2044.\r\n\r\nA simple solution for now is to pin the matplotlib version to 1.4. I'll send a PR for this.\r\n\r\ncc @astonzhang \n", "before_files": [{"content": "from setuptools import setup, find_packages\nimport d2l\n\nrequirements = [\n    'jupyter',\n    'numpy',\n    'matplotlib==3.4',\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"}]}