code: 
  '''simple docstring'''
  import argparse
  import os
  
  
  lowercase__						=			{
      "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__":
  						lowercase__						=			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)
  						lowercase__						=			parser.parse_args()
  
  						lowercase__						=			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")
  
  						lowercase__						=			""
  						if args.framework == "pytorch":
  												lowercase__						=			info["cuda"]
  						os.system(f"echo \"export CUDA='{cuda}'\" >> ~/.profile")
  						print(f"echo \"export CUDA='{cuda}'\" >> ~/.profile")
  
  
  
style_context: 
  '''simple docstring'''
  def       _UpperCamelCase	(					)     ->       int:
  
  
  		'''simple docstring'''
  
  
  		for a in range(300 ):
  				for b in range(a + 1   ,					400 ):
  						for c in range(b + 1   ,					500 ):
  								if (a + b + c) == 1000 and (a**2) + (b**2) == (c**2):
  										return a * b * c
  
  		return -1
  
  
  
  
  def       _UpperCamelCase	(					)     ->       int:
  
  
  		'''simple docstring'''
  
  
  		for a in range(300 ):
  				for b in range(400 ):
  						snake_case     :					Dict     =	1000 - a - b
  						if a < b < c and (a**2) + (b**2) == (c**2):
  								return a * b * c
  
  		return -1
  
  
  
  
  def       _UpperCamelCase	(					)     ->       None:
  
  
  		'''simple docstring'''
  
  
  		import timeit
  
  		print(
  		    timeit.timeit('''solution()'''   ,					setup='''from __main__ import solution'''   ,					number=1000 ) )
  		print(
  		    timeit.timeit(
  		        '''solution_fast()'''   ,					setup='''from __main__ import solution_fast'''   ,					number=1000 ) )
  
  
  if __name__ == "__main__":
  						print(f"{solution() = }")
  
  
  