prompt: You will be provided with a partial code base and an issue statement explaining a problem to resolve.
  <issue>
  the main branch is not compatible with python 3.6, but setup.py only requires ">=3.6"
  python 3.6 can pip install latest fairscale
  https://github.com/facebookresearch/fairscale/blob/1bc96fa8c69def6d990e42bfbd75f86146ce29bd/setup.py#L67
  
  but, some code is not compatible with python 3.6
  https://github.com/facebookresearch/fairscale/blob/1bc96fa8c69def6d990e42bfbd75f86146ce29bd/fairscale/experimental/nn/ssd_offload.py#L6
  and python<3.7 has no dataclasses
  https://github.com/facebookresearch/fairscale/blob/1bc96fa8c69def6d990e42bfbd75f86146ce29bd/fairscale/nn/data_parallel/fully_sharded_data_parallel.py#L8
  
  
  
  
  </issue>
  <code>
  [start of setup.py]
  1 #!/usr/bin/env python3
  2 
  3 # Copyright (c) Facebook, Inc. and its affiliates. All rights reserved.
  4 #
  5 # This source code is licensed under the BSD license found in the
  6 # LICENSE file in the root directory of this source tree.
  7 
  8 import os
  9 import re
  10 
  11 import setuptools
  12 
  13 this_dir = os.path.dirname(os.path.abspath(__file__))
  14 
  15 
  16 def fetch_requirements():
  17     with open("requirements.txt") as f:
  18         reqs = f.read().strip().split("\n")
  19     return reqs
  20 
  21 
  22 # https://packaging.python.org/guides/single-sourcing-package-version/
  23 def find_version(version_file_path) -> str:
  24     with open(version_file_path) as version_file:
  25         version_match = re.search(r"^__version_tuple__ = (.*)", version_file.read(), re.M)
  26         if version_match:
  27             ver_tup = eval(version_match.group(1))
  28             ver_str = ".".join([str(x) for x in ver_tup])
  29             return ver_str
  30         raise RuntimeError("Unable to find version tuple.")
  31 
  32 
  33 extensions = []
  34 cmdclass = {}
  35 
  36 if os.getenv("BUILD_CUDA_EXTENSIONS", "0") == "1":
  37     from torch.utils.cpp_extension import BuildExtension, CUDAExtension
  38 
  39     extensions.extend(
  40         [
  41             CUDAExtension(
  42                 name="fairscale.fused_adam_cuda",
  43                 include_dirs=[os.path.join(this_dir, "fairscale/clib/fused_adam_cuda")],
  44                 sources=[
  45                     "fairscale/clib/fused_adam_cuda/fused_adam_cuda.cpp",
  46                     "fairscale/clib/fused_adam_cuda/fused_adam_cuda_kernel.cu",
  47                 ],
  48                 extra_compile_args={"cxx": ["-O3"], "nvcc": ["-O3", "--use_fast_math"]},
  49             )
  50         ]
  51     )
  52 
  53     cmdclass["build_ext"] = BuildExtension
  54 
  55 
  56 if __name__ == "__main__":
  57     setuptools.setup(
  58         name="fairscale",
  59         description="FairScale: A PyTorch library for large-scale and high-performance training.",
  60         version=find_version("fairscale/version.py"),
  61         setup_requires=["ninja"],  # ninja is required to build extensions
  62         install_requires=fetch_requirements(),
  63         include_package_data=True,
  64         packages=setuptools.find_packages(exclude=("tests", "tests.*")),
  65         ext_modules=extensions,
  66         cmdclass=cmdclass,
  67         python_requires=">=3.6",
  68         author="Facebook AI Research",
  69         author_email="todo@fb.com",
  70         long_description="FairScale is a PyTorch extension library for high performance and large scale training on one or multiple machines/nodes. This library extends basic PyTorch capabilities while adding new experimental ones.",
  71         long_description_content_type="text/markdown",
  72         classifiers=[
  73             "Programming Language :: Python :: 3.7",
  74             "Programming Language :: Python :: 3.8",
  75             "Programming Language :: Python :: 3.9",
  76             "License :: OSI Approved :: BSD License",
  77             "Topic :: Scientific/Engineering :: Artificial Intelligence",
  78             "Operating System :: OS Independent",
  79         ],
  80     )
  81
  [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
  @@ -64,7 +64,7 @@
           packages=setuptools.find_packages(exclude=("tests", "tests.*")),
           ext_modules=extensions,
           cmdclass=cmdclass,
  -        python_requires=">=3.6",
  +        python_requires=">=3.7",
           author="Facebook AI Research",
           author_email="todo@fb.com",
           long_description="FairScale is a PyTorch extension library for high performance and large scale training on one or multiple machines/nodes. This library extends basic PyTorch capabilities while adding new experimental ones.",
  
verification_info: {"golden_diff": "diff --git a/setup.py b/setup.py\n--- a/setup.py\n+++ b/setup.py\n@@ -64,7 +64,7 @@\n         packages=setuptools.find_packages(exclude=(\"tests\", \"tests.*\")),\n         ext_modules=extensions,\n         cmdclass=cmdclass,\n-        python_requires=\">=3.6\",\n+        python_requires=\">=3.7\",\n         author=\"Facebook AI Research\",\n         author_email=\"todo@fb.com\",\n         long_description=\"FairScale is a PyTorch extension library for high performance and large scale training on one or multiple machines/nodes. This library extends basic PyTorch capabilities while adding new experimental ones.\",\n", "issue": "the main branch is not compatible with python 3.6, but setup.py only requires \">=3.6\"\npython 3.6 can pip install latest fairscale\r\nhttps://github.com/facebookresearch/fairscale/blob/1bc96fa8c69def6d990e42bfbd75f86146ce29bd/setup.py#L67\r\n\r\nbut, some code is not compatible with python 3.6\r\nhttps://github.com/facebookresearch/fairscale/blob/1bc96fa8c69def6d990e42bfbd75f86146ce29bd/fairscale/experimental/nn/ssd_offload.py#L6\r\nand python<3.7 has no dataclasses\r\nhttps://github.com/facebookresearch/fairscale/blob/1bc96fa8c69def6d990e42bfbd75f86146ce29bd/fairscale/nn/data_parallel/fully_sharded_data_parallel.py#L8\r\n\r\n\r\n\n", "before_files": [{"content": "#!/usr/bin/env python3\n\n# Copyright (c) Facebook, Inc. and its affiliates. All rights reserved.\n#\n# This source code is licensed under the BSD license found in the\n# LICENSE file in the root directory of this source tree.\n\nimport os\nimport re\n\nimport setuptools\n\nthis_dir = os.path.dirname(os.path.abspath(__file__))\n\n\ndef fetch_requirements():\n    with open(\"requirements.txt\") as f:\n        reqs = f.read().strip().split(\"\\n\")\n    return reqs\n\n\n# https://packaging.python.org/guides/single-sourcing-package-version/\ndef find_version(version_file_path) -> str:\n    with open(version_file_path) as version_file:\n        version_match = re.search(r\"^__version_tuple__ = (.*)\", version_file.read(), re.M)\n        if version_match:\n            ver_tup = eval(version_match.group(1))\n            ver_str = \".\".join([str(x) for x in ver_tup])\n            return ver_str\n        raise RuntimeError(\"Unable to find version tuple.\")\n\n\nextensions = []\ncmdclass = {}\n\nif os.getenv(\"BUILD_CUDA_EXTENSIONS\", \"0\") == \"1\":\n    from torch.utils.cpp_extension import BuildExtension, CUDAExtension\n\n    extensions.extend(\n        [\n            CUDAExtension(\n                name=\"fairscale.fused_adam_cuda\",\n                include_dirs=[os.path.join(this_dir, \"fairscale/clib/fused_adam_cuda\")],\n                sources=[\n                    \"fairscale/clib/fused_adam_cuda/fused_adam_cuda.cpp\",\n                    \"fairscale/clib/fused_adam_cuda/fused_adam_cuda_kernel.cu\",\n                ],\n                extra_compile_args={\"cxx\": [\"-O3\"], \"nvcc\": [\"-O3\", \"--use_fast_math\"]},\n            )\n        ]\n    )\n\n    cmdclass[\"build_ext\"] = BuildExtension\n\n\nif __name__ == \"__main__\":\n    setuptools.setup(\n        name=\"fairscale\",\n        description=\"FairScale: A PyTorch library for large-scale and high-performance training.\",\n        version=find_version(\"fairscale/version.py\"),\n        setup_requires=[\"ninja\"],  # ninja is required to build extensions\n        install_requires=fetch_requirements(),\n        include_package_data=True,\n        packages=setuptools.find_packages(exclude=(\"tests\", \"tests.*\")),\n        ext_modules=extensions,\n        cmdclass=cmdclass,\n        python_requires=\">=3.6\",\n        author=\"Facebook AI Research\",\n        author_email=\"todo@fb.com\",\n        long_description=\"FairScale is a PyTorch extension library for high performance and large scale training on one or multiple machines/nodes. This library extends basic PyTorch capabilities while adding new experimental ones.\",\n        long_description_content_type=\"text/markdown\",\n        classifiers=[\n            \"Programming Language :: Python :: 3.7\",\n            \"Programming Language :: Python :: 3.8\",\n            \"Programming Language :: Python :: 3.9\",\n            \"License :: OSI Approved :: BSD License\",\n            \"Topic :: Scientific/Engineering :: Artificial Intelligence\",\n            \"Operating System :: OS Independent\",\n        ],\n    )\n", "path": "setup.py"}]}