




'''simple docstring'''







import argparse
import os


A			   ={
    'pytorch': {
        '1.13': {
            'torch': '1.13.1',
            'torchvision': '0.14.1',
            'torchaudio': '0.13.1',
            'python': 3.9,
            'cuda': 'cu116',
            'install': (
                'python3 -m pip install --no-cache-dir -U torch==1.13.1 torchvision==0.14.1 torchaudio==0.13.1'
                ' --extra-index-url https://download.pytorch.org/whl/cu116'
            ),
            'base_image': 'nvidia/cuda:11.6.2-cudnn8-devel-ubuntu20.04',
        },
        '1.12': {
            'torch': '1.12.1',
            'torchvision': '0.13.1',
            'torchaudio': '0.12.1',
            'python': 3.9,
            'cuda': 'cu113',
            'install': (
                'python3 -m pip install --no-cache-dir -U torch==1.12.1 torchvision==0.13.1 torchaudio==0.12.1'
                ' --extra-index-url https://download.pytorch.org/whl/cu113'
            ),
            'base_image': 'nvidia/cuda:11.2.2-cudnn8-devel-ubuntu20.04',
        },
        '1.11': {
            'torch': '1.11.0',
            'torchvision': '0.12.0',
            'torchaudio': '0.11.0',
            'python': 3.9,
            'cuda': 'cu113',
            'install': (
                'python3 -m pip install --no-cache-dir -U torch==1.11.0 torchvision==0.12.0 torchaudio==0.11.0'
                ' --extra-index-url https://download.pytorch.org/whl/cu113'
            ),
            'base_image': 'nvidia/cuda:11.2.2-cudnn8-devel-ubuntu20.04',
        },
        '1.10': {
            'torch': '1.10.2',
            'torchvision': '0.11.3',
            'torchaudio': '0.10.2',
            'python': 3.9,
            'cuda': 'cu113',
            'install': (
                'python3 -m pip install --no-cache-dir -U torch==1.10.2 torchvision==0.11.3 torchaudio==0.10.2'
                ' --extra-index-url https://download.pytorch.org/whl/cu113'
            ),
            'base_image': 'nvidia/cuda:11.2.2-cudnn8-devel-ubuntu20.04',
        },
        # torchaudio < 0.10 has no CUDA-enabled binary distributions
        '1.9': {
            'torch': '1.9.1',
            'torchvision': '0.10.1',
            'torchaudio': '0.9.1',
            'python': 3.9,
            'cuda': 'cu111',
            'install': (
                'python3 -m pip install --no-cache-dir -U torch==1.9.1 torchvision==0.10.1 torchaudio==0.9.1'
                ' --extra-index-url https://download.pytorch.org/whl/cu111'
            ),
            'base_image': 'nvidia/cuda:11.2.2-cudnn8-devel-ubuntu20.04',
        },
    },
    'tensorflow': {
        '2.11': {
            'tensorflow': '2.11.1',
            'install': 'python3 -m pip install --no-cache-dir -U tensorflow==2.11.1',
            'base_image': 'nvidia/cuda:11.2.2-cudnn8-devel-ubuntu20.04',
        },
        '2.10': {
            'tensorflow': '2.10.1',
            'install': 'python3 -m pip install --no-cache-dir -U tensorflow==2.10.1',
            'base_image': 'nvidia/cuda:11.2.2-cudnn8-devel-ubuntu20.04',
        },
        '2.9': {
            'tensorflow': '2.9.3',
            'install': 'python3 -m pip install --no-cache-dir -U tensorflow==2.9.3',
            'base_image': 'nvidia/cuda:11.2.2-cudnn8-devel-ubuntu20.04',
        },
        '2.8': {
            'tensorflow': '2.8.2',
            'install': 'python3 -m pip install --no-cache-dir -U tensorflow==2.8.2',
            'base_image': 'nvidia/cuda:11.2.2-cudnn8-devel-ubuntu20.04',
        },
        '2.7': {
            'tensorflow': '2.7.3',
            'install': 'python3 -m pip install --no-cache-dir -U tensorflow==2.7.3',
            'base_image': 'nvidia/cuda:11.2.2-cudnn8-devel-ubuntu20.04',
        },
        '2.6': {
            'tensorflow': '2.6.5',
            'install': 'python3 -m pip install --no-cache-dir -U tensorflow==2.6.5',
            'base_image': 'nvidia/cuda:11.2.2-cudnn8-devel-ubuntu20.04',
        },
        '2.5': {
            'tensorflow': '2.5.3',
            'install': 'python3 -m pip install --no-cache-dir -U tensorflow==2.5.3',
            'base_image': 'nvidia/cuda:11.2.2-cudnn8-devel-ubuntu20.04',
        },
    },
}


if __name__ == "__main__":
     A			   =argparse.ArgumentParser('Choose the framework and version to install')
     parser.add_argument(
         '--framework', help='The framework to install. Should be `torch` or `tensorflow`', type=str, required=True
     )
     parser.add_argument('--version', help='The version of the framework to install.', type=str, required=True)
     A			   =parser.parse_args()

     A			   =past_versions_testing[args.framework][args.version]

     os.system(f"""echo \"export INSTALL_CMD=\'{info["install"]}\'\" >> ~/.profile""")
     print(f"""echo \"export INSTALL_CMD=\'{info["install"]}\'\" >> ~/.profile""")

     A			   =''
     if args.framework == "pytorch":
          A			   =info['cuda']
     os.system(f"""echo \"export CUDA=\'{cuda}\'\" >> ~/.profile""")
     print(f"""echo \"export CUDA=\'{cuda}\'\" >> ~/.profile""")










'''simple docstring'''







def 						snake_case_							(_a     :							int = 9_9_8_0_0_1					):
    UpperCAmelCase      	=		0
    for i in range(9_9_9   ,       9_9   ,       -1					):  # 3 digit numbers range from 999 down to 100
        for j in range(9_9_9   ,       9_9   ,       -1					):
            UpperCAmelCase      	=		str(i * j					)
            if product_string == product_string[::-1] and i * j < n:
                UpperCAmelCase      	=		max(_a   ,       i * j					)
    return answer


if __name__ == "__main__":
   print(f"""{solution() = }""")




