prompt: We are currently solving the following issue within our repository. Here is the issue text:
  --- BEGIN ISSUE ---
  Move unit testing data to the MLCommons Storage
  **Is your feature request related to a problem? Please describe.**
  Currently, the unit testing data is on UPenn Box - which is inconvenient for someone without access who wants to make any updates. 
  
  **Describe the solution you'd like**
  Changing this to the MLCommons storage would make things much easier from an admin perspective.
  
  **Describe alternatives you've considered**
  N.A.
  
  **Additional context**
  N.A.
  
  
  --- END ISSUE ---
  
  Below are some code segments, each from a relevant file. One or more of these files may contain bugs.
  --- BEGIN FILES ---
  Path: `setup.py`
  Content:
  ```
  1 #!/usr/bin/env python
  2 
  3 """The setup script."""
  4 
  5 
  6 import sys, re, os
  7 from setuptools import setup, find_packages
  8 from setuptools.command.install import install
  9 from setuptools.command.develop import develop
  10 from setuptools.command.egg_info import egg_info
  11 
  12 try:
  13     with open("README.md") as readme_file:
  14         readme = readme_file.read()
  15 except Exception as error:
  16     readme = "No README information found."
  17     sys.stderr.write("Warning: Could not open '%s' due %s\n" % ("README.md", error))
  18 
  19 
  20 class CustomInstallCommand(install):
  21     def run(self):
  22         install.run(self)
  23 
  24 
  25 class CustomDevelopCommand(develop):
  26     def run(self):
  27         develop.run(self)
  28 
  29 
  30 class CustomEggInfoCommand(egg_info):
  31     def run(self):
  32         egg_info.run(self)
  33 
  34 
  35 try:
  36     filepath = "GANDLF/version.py"
  37     version_file = open(filepath)
  38     (__version__,) = re.findall('__version__ = "(.*)"', version_file.read())
  39 
  40 except Exception as error:
  41     __version__ = "0.0.1"
  42     sys.stderr.write("Warning: Could not open '%s' due %s\n" % (filepath, error))
  43 
  44 # Handle cases where specific files need to be bundled into the final package as installed via PyPI
  45 dockerfiles = [
  46     item
  47     for item in os.listdir(os.path.dirname(os.path.abspath(__file__)))
  48     if (os.path.isfile(item) and item.startswith("Dockerfile-"))
  49 ]
  50 entrypoint_files = [
  51     item
  52     for item in os.listdir(os.path.dirname(os.path.abspath(__file__)))
  53     if (os.path.isfile(item) and item.startswith("gandlf_"))
  54 ]
  55 setup_files = ["setup.py", ".dockerignore", "pyproject.toml", "MANIFEST.in"]
  56 all_extra_files = dockerfiles + entrypoint_files + setup_files
  57 all_extra_files_pathcorrected = [os.path.join("../", item) for item in all_extra_files]
  58 # find_packages should only ever find these as subpackages of gandlf, not as top-level packages
  59 # generate this dynamically?
  60 # GANDLF.GANDLF is needed to prevent recursion madness in deployments
  61 toplevel_package_excludes = [
  62     "GANDLF.GANDLF",
  63     "anonymize",
  64     "cli",
  65     "compute",
  66     "data",
  67     "grad_clipping",
  68     "losses",
  69     "metrics",
  70     "models",
  71     "optimizers",
  72     "schedulers",
  73     "utils",
  74 ]
  75 
  76 
  77 requirements = [
  78     "torch==1.13.1",
  79     "black",
  80     "numpy==1.22.0",
  81     "scipy",
  82     "SimpleITK!=2.0.*",
  83     "SimpleITK!=2.2.1",  # https://github.com/mlcommons/GaNDLF/issues/536
  84     "torchvision",
  85     "tqdm",
  86     "torchio==0.18.75",
  87     "pandas<2.0.0",
  88     "scikit-learn>=0.23.2",
  89     "scikit-image>=0.19.1",
  90     "setuptools",
  91     "seaborn",
  92     "pyyaml",
  93     "tiffslide",
  94     "matplotlib",
  95     "requests>=2.25.0",
  96     "pytest",
  97     "coverage",
  98     "pytest-cov",
  99     "psutil",
  100     "medcam",
  101     "opencv-python",
  102     "torchmetrics==0.8.1",
  103     "zarr==2.10.3",
  104     "pydicom",
  105     "onnx",
  106     "torchinfo==1.7.0",
  107     "segmentation-models-pytorch==0.3.2",
  108     "ACSConv==0.1.1",
  109     "docker",
  110     "dicom-anonymizer",
  111     "twine",
  112     "zarr",
  113     "keyring",
  114 ]
  115 
  116 if __name__ == "__main__":
  117     setup(
  118         name="GANDLF",
  119         version=__version__,
  120         author="MLCommons",
  121         author_email="gandlf@mlcommons.org",
  122         python_requires=">=3.8",
  123         packages=find_packages(
  124             where=os.path.dirname(os.path.abspath(__file__)),
  125             exclude=toplevel_package_excludes,
  126         ),
  127         cmdclass={
  128             "install": CustomInstallCommand,
  129             "develop": CustomDevelopCommand,
  130             "egg_info": CustomEggInfoCommand,
  131         },
  132         scripts=[
  133             "gandlf_run",
  134             "gandlf_constructCSV",
  135             "gandlf_collectStats",
  136             "gandlf_patchMiner",
  137             "gandlf_preprocess",
  138             "gandlf_anonymizer",
  139             "gandlf_verifyInstall",
  140             "gandlf_configGenerator",
  141             "gandlf_recoverConfig",
  142             "gandlf_deploy",
  143             "gandlf_optimizeModel",
  144             "gandlf_generateMetrics",
  145         ],
  146         classifiers=[
  147             "Development Status :: 3 - Alpha",
  148             "Intended Audience :: Science/Research",
  149             "License :: OSI Approved :: Apache Software License",
  150             "Natural Language :: English",
  151             "Operating System :: OS Independent",
  152             "Programming Language :: Python :: 3.8",
  153             "Programming Language :: Python :: 3.9",
  154             "Programming Language :: Python :: 3.10",
  155             "Topic :: Scientific/Engineering :: Medical Science Apps.",
  156         ],
  157         description=(
  158             "PyTorch-based framework that handles segmentation/regression/classification using various DL architectures for medical imaging."
  159         ),
  160         install_requires=requirements,
  161         license="Apache-2.0",
  162         long_description=readme,
  163         long_description_content_type="text/markdown",
  164         include_package_data=True,
  165         package_data={"GANDLF": all_extra_files_pathcorrected},
  166         keywords="semantic, segmentation, regression, classification, data-augmentation, medical-imaging, clinical-workflows, deep-learning, pytorch",
  167         zip_safe=False,
  168     )
  169
  ```
  --- 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/setup.py b/setup.py
  --- a/setup.py
  +++ b/setup.py
  @@ -92,7 +92,7 @@
       "pyyaml",
       "tiffslide",
       "matplotlib",
  -    "requests>=2.25.0",
  +    "gdown",
       "pytest",
       "coverage",
       "pytest-cov",
  
verification_info: {"golden_diff": "diff --git a/setup.py b/setup.py\n--- a/setup.py\n+++ b/setup.py\n@@ -92,7 +92,7 @@\n     \"pyyaml\",\n     \"tiffslide\",\n     \"matplotlib\",\n-    \"requests>=2.25.0\",\n+    \"gdown\",\n     \"pytest\",\n     \"coverage\",\n     \"pytest-cov\",\n", "issue": "Move unit testing data to the MLCommons Storage\n**Is your feature request related to a problem? Please describe.**\r\nCurrently, the unit testing data is on UPenn Box - which is inconvenient for someone without access who wants to make any updates. \r\n\r\n**Describe the solution you'd like**\r\nChanging this to the MLCommons storage would make things much easier from an admin perspective.\r\n\r\n**Describe alternatives you've considered**\r\nN.A.\r\n\r\n**Additional context**\r\nN.A.\r\n\n", "before_files": [{"content": "#!/usr/bin/env python\n\n\"\"\"The setup script.\"\"\"\n\n\nimport sys, re, os\nfrom setuptools import setup, find_packages\nfrom setuptools.command.install import install\nfrom setuptools.command.develop import develop\nfrom setuptools.command.egg_info import egg_info\n\ntry:\n    with open(\"README.md\") as readme_file:\n        readme = readme_file.read()\nexcept Exception as error:\n    readme = \"No README information found.\"\n    sys.stderr.write(\"Warning: Could not open '%s' due %s\\n\" % (\"README.md\", error))\n\n\nclass CustomInstallCommand(install):\n    def run(self):\n        install.run(self)\n\n\nclass CustomDevelopCommand(develop):\n    def run(self):\n        develop.run(self)\n\n\nclass CustomEggInfoCommand(egg_info):\n    def run(self):\n        egg_info.run(self)\n\n\ntry:\n    filepath = \"GANDLF/version.py\"\n    version_file = open(filepath)\n    (__version__,) = re.findall('__version__ = \"(.*)\"', version_file.read())\n\nexcept Exception as error:\n    __version__ = \"0.0.1\"\n    sys.stderr.write(\"Warning: Could not open '%s' due %s\\n\" % (filepath, error))\n\n# Handle cases where specific files need to be bundled into the final package as installed via PyPI\ndockerfiles = [\n    item\n    for item in os.listdir(os.path.dirname(os.path.abspath(__file__)))\n    if (os.path.isfile(item) and item.startswith(\"Dockerfile-\"))\n]\nentrypoint_files = [\n    item\n    for item in os.listdir(os.path.dirname(os.path.abspath(__file__)))\n    if (os.path.isfile(item) and item.startswith(\"gandlf_\"))\n]\nsetup_files = [\"setup.py\", \".dockerignore\", \"pyproject.toml\", \"MANIFEST.in\"]\nall_extra_files = dockerfiles + entrypoint_files + setup_files\nall_extra_files_pathcorrected = [os.path.join(\"../\", item) for item in all_extra_files]\n# find_packages should only ever find these as subpackages of gandlf, not as top-level packages\n# generate this dynamically?\n# GANDLF.GANDLF is needed to prevent recursion madness in deployments\ntoplevel_package_excludes = [\n    \"GANDLF.GANDLF\",\n    \"anonymize\",\n    \"cli\",\n    \"compute\",\n    \"data\",\n    \"grad_clipping\",\n    \"losses\",\n    \"metrics\",\n    \"models\",\n    \"optimizers\",\n    \"schedulers\",\n    \"utils\",\n]\n\n\nrequirements = [\n    \"torch==1.13.1\",\n    \"black\",\n    \"numpy==1.22.0\",\n    \"scipy\",\n    \"SimpleITK!=2.0.*\",\n    \"SimpleITK!=2.2.1\",  # https://github.com/mlcommons/GaNDLF/issues/536\n    \"torchvision\",\n    \"tqdm\",\n    \"torchio==0.18.75\",\n    \"pandas<2.0.0\",\n    \"scikit-learn>=0.23.2\",\n    \"scikit-image>=0.19.1\",\n    \"setuptools\",\n    \"seaborn\",\n    \"pyyaml\",\n    \"tiffslide\",\n    \"matplotlib\",\n    \"requests>=2.25.0\",\n    \"pytest\",\n    \"coverage\",\n    \"pytest-cov\",\n    \"psutil\",\n    \"medcam\",\n    \"opencv-python\",\n    \"torchmetrics==0.8.1\",\n    \"zarr==2.10.3\",\n    \"pydicom\",\n    \"onnx\",\n    \"torchinfo==1.7.0\",\n    \"segmentation-models-pytorch==0.3.2\",\n    \"ACSConv==0.1.1\",\n    \"docker\",\n    \"dicom-anonymizer\",\n    \"twine\",\n    \"zarr\",\n    \"keyring\",\n]\n\nif __name__ == \"__main__\":\n    setup(\n        name=\"GANDLF\",\n        version=__version__,\n        author=\"MLCommons\",\n        author_email=\"gandlf@mlcommons.org\",\n        python_requires=\">=3.8\",\n        packages=find_packages(\n            where=os.path.dirname(os.path.abspath(__file__)),\n            exclude=toplevel_package_excludes,\n        ),\n        cmdclass={\n            \"install\": CustomInstallCommand,\n            \"develop\": CustomDevelopCommand,\n            \"egg_info\": CustomEggInfoCommand,\n        },\n        scripts=[\n            \"gandlf_run\",\n            \"gandlf_constructCSV\",\n            \"gandlf_collectStats\",\n            \"gandlf_patchMiner\",\n            \"gandlf_preprocess\",\n            \"gandlf_anonymizer\",\n            \"gandlf_verifyInstall\",\n            \"gandlf_configGenerator\",\n            \"gandlf_recoverConfig\",\n            \"gandlf_deploy\",\n            \"gandlf_optimizeModel\",\n            \"gandlf_generateMetrics\",\n        ],\n        classifiers=[\n            \"Development Status :: 3 - Alpha\",\n            \"Intended Audience :: Science/Research\",\n            \"License :: OSI Approved :: Apache Software License\",\n            \"Natural Language :: English\",\n            \"Operating System :: OS Independent\",\n            \"Programming Language :: Python :: 3.8\",\n            \"Programming Language :: Python :: 3.9\",\n            \"Programming Language :: Python :: 3.10\",\n            \"Topic :: Scientific/Engineering :: Medical Science Apps.\",\n        ],\n        description=(\n            \"PyTorch-based framework that handles segmentation/regression/classification using various DL architectures for medical imaging.\"\n        ),\n        install_requires=requirements,\n        license=\"Apache-2.0\",\n        long_description=readme,\n        long_description_content_type=\"text/markdown\",\n        include_package_data=True,\n        package_data={\"GANDLF\": all_extra_files_pathcorrected},\n        keywords=\"semantic, segmentation, regression, classification, data-augmentation, medical-imaging, clinical-workflows, deep-learning, pytorch\",\n        zip_safe=False,\n    )\n", "path": "setup.py"}], "after_files": [{"content": "#!/usr/bin/env python\n\n\"\"\"The setup script.\"\"\"\n\n\nimport sys, re, os\nfrom setuptools import setup, find_packages\nfrom setuptools.command.install import install\nfrom setuptools.command.develop import develop\nfrom setuptools.command.egg_info import egg_info\n\ntry:\n    with open(\"README.md\") as readme_file:\n        readme = readme_file.read()\nexcept Exception as error:\n    readme = \"No README information found.\"\n    sys.stderr.write(\"Warning: Could not open '%s' due %s\\n\" % (\"README.md\", error))\n\n\nclass CustomInstallCommand(install):\n    def run(self):\n        install.run(self)\n\n\nclass CustomDevelopCommand(develop):\n    def run(self):\n        develop.run(self)\n\n\nclass CustomEggInfoCommand(egg_info):\n    def run(self):\n        egg_info.run(self)\n\n\ntry:\n    filepath = \"GANDLF/version.py\"\n    version_file = open(filepath)\n    (__version__,) = re.findall('__version__ = \"(.*)\"', version_file.read())\n\nexcept Exception as error:\n    __version__ = \"0.0.1\"\n    sys.stderr.write(\"Warning: Could not open '%s' due %s\\n\" % (filepath, error))\n\n# Handle cases where specific files need to be bundled into the final package as installed via PyPI\ndockerfiles = [\n    item\n    for item in os.listdir(os.path.dirname(os.path.abspath(__file__)))\n    if (os.path.isfile(item) and item.startswith(\"Dockerfile-\"))\n]\nentrypoint_files = [\n    item\n    for item in os.listdir(os.path.dirname(os.path.abspath(__file__)))\n    if (os.path.isfile(item) and item.startswith(\"gandlf_\"))\n]\nsetup_files = [\"setup.py\", \".dockerignore\", \"pyproject.toml\", \"MANIFEST.in\"]\nall_extra_files = dockerfiles + entrypoint_files + setup_files\nall_extra_files_pathcorrected = [os.path.join(\"../\", item) for item in all_extra_files]\n# find_packages should only ever find these as subpackages of gandlf, not as top-level packages\n# generate this dynamically?\n# GANDLF.GANDLF is needed to prevent recursion madness in deployments\ntoplevel_package_excludes = [\n    \"GANDLF.GANDLF\",\n    \"anonymize\",\n    \"cli\",\n    \"compute\",\n    \"data\",\n    \"grad_clipping\",\n    \"losses\",\n    \"metrics\",\n    \"models\",\n    \"optimizers\",\n    \"schedulers\",\n    \"utils\",\n]\n\n\nrequirements = [\n    \"torch==1.13.1\",\n    \"black\",\n    \"numpy==1.22.0\",\n    \"scipy\",\n    \"SimpleITK!=2.0.*\",\n    \"SimpleITK!=2.2.1\",  # https://github.com/mlcommons/GaNDLF/issues/536\n    \"torchvision\",\n    \"tqdm\",\n    \"torchio==0.18.75\",\n    \"pandas<2.0.0\",\n    \"scikit-learn>=0.23.2\",\n    \"scikit-image>=0.19.1\",\n    \"setuptools\",\n    \"seaborn\",\n    \"pyyaml\",\n    \"tiffslide\",\n    \"matplotlib\",\n    \"gdown\",\n    \"pytest\",\n    \"coverage\",\n    \"pytest-cov\",\n    \"psutil\",\n    \"medcam\",\n    \"opencv-python\",\n    \"torchmetrics==0.8.1\",\n    \"zarr==2.10.3\",\n    \"pydicom\",\n    \"onnx\",\n    \"torchinfo==1.7.0\",\n    \"segmentation-models-pytorch==0.3.2\",\n    \"ACSConv==0.1.1\",\n    \"docker\",\n    \"dicom-anonymizer\",\n    \"twine\",\n    \"zarr\",\n    \"keyring\",\n]\n\nif __name__ == \"__main__\":\n    setup(\n        name=\"GANDLF\",\n        version=__version__,\n        author=\"MLCommons\",\n        author_email=\"gandlf@mlcommons.org\",\n        python_requires=\">=3.8\",\n        packages=find_packages(\n            where=os.path.dirname(os.path.abspath(__file__)),\n            exclude=toplevel_package_excludes,\n        ),\n        cmdclass={\n            \"install\": CustomInstallCommand,\n            \"develop\": CustomDevelopCommand,\n            \"egg_info\": CustomEggInfoCommand,\n        },\n        scripts=[\n            \"gandlf_run\",\n            \"gandlf_constructCSV\",\n            \"gandlf_collectStats\",\n            \"gandlf_patchMiner\",\n            \"gandlf_preprocess\",\n            \"gandlf_anonymizer\",\n            \"gandlf_verifyInstall\",\n            \"gandlf_configGenerator\",\n            \"gandlf_recoverConfig\",\n            \"gandlf_deploy\",\n            \"gandlf_optimizeModel\",\n            \"gandlf_generateMetrics\",\n        ],\n        classifiers=[\n            \"Development Status :: 3 - Alpha\",\n            \"Intended Audience :: Science/Research\",\n            \"License :: OSI Approved :: Apache Software License\",\n            \"Natural Language :: English\",\n            \"Operating System :: OS Independent\",\n            \"Programming Language :: Python :: 3.8\",\n            \"Programming Language :: Python :: 3.9\",\n            \"Programming Language :: Python :: 3.10\",\n            \"Topic :: Scientific/Engineering :: Medical Science Apps.\",\n        ],\n        description=(\n            \"PyTorch-based framework that handles segmentation/regression/classification using various DL architectures for medical imaging.\"\n        ),\n        install_requires=requirements,\n        license=\"Apache-2.0\",\n        long_description=readme,\n        long_description_content_type=\"text/markdown\",\n        include_package_data=True,\n        package_data={\"GANDLF\": all_extra_files_pathcorrected},\n        keywords=\"semantic, segmentation, regression, classification, data-augmentation, medical-imaging, clinical-workflows, deep-learning, pytorch\",\n        zip_safe=False,\n    )\n", "path": "setup.py"}]}