





import argparse
import os


A__       :     int          ={
    '''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__       :     Any          =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__       :     Tuple          =parser.parse_args()

      A__       :     Optional[int]          =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__       :     List[str]          =''''''
      if args.framework == "pytorch":
            A__       :     Dict          =info['''cuda''']
      os.system(F"""echo \"export CUDA='{cuda}'\" >> ~/.profile""")
      print(F"""echo \"export CUDA='{cuda}'\" >> ~/.profile""")













'''simple docstring'''






class 				UpperCAmelCase  :




      def __init__(    self    :				Optional[Any]						)       ->   List[str]:
            _lowerCAmelCase							  =							[0]
            _lowerCAmelCase							  =							0




      def        lowercase__					(    self    :				str    ,    __snake_case    :				int						)       ->   None:
            _lowerCAmelCase							  =							self.__heap[i]
            while i // 2 > 0:
                  if self.__heap[i] > self.__heap[i // 2]:
                        _lowerCAmelCase							  =							self.__heap[i // 2]
                        _lowerCAmelCase							  =							temporary
                  i //= 2




      def        lowercase__					(    self    :				Optional[Any]    ,    __snake_case    :				int						)       ->   None:
            self.__heap.append(__snake_case						)
            self.__size += 1
            self.__swap_up(self.__size						)




      def        lowercase__					(    self    :				str    ,    __snake_case    :				int						)       ->   None:
            while self.__size >= 2 * i:
                  if 2 * i + 1 > self.__size:
                        _lowerCAmelCase							  =							2 * i
                  else:
                        if self.__heap[2 * i] > self.__heap[2 * i + 1]:
                              _lowerCAmelCase							  =							2 * i
                        else:
                              _lowerCAmelCase							  =							2 * i + 1
                  _lowerCAmelCase							  =							self.__heap[i]
                  if self.__heap[i] < self.__heap[bigger_child]:
                        _lowerCAmelCase							  =							self.__heap[bigger_child]
                        _lowerCAmelCase							  =							temporary
                  _lowerCAmelCase							  =							bigger_child




      def        lowercase__					(    self    :				Tuple						)       ->   int:
            _lowerCAmelCase							  =							self.__heap[1]
            _lowerCAmelCase							  =							self.__heap[self.__size]
            self.__size -= 1
            self.__heap.pop()
            self.__swap_down(1						)
            return max_value




      @property
      def        lowercase__					(    self    :				List[Any]						)       ->   str:
            return self.__heap[1:]




      def __len__(    self    :				Optional[Any]						)       ->   str:
            return self.__size


if __name__ == "__main__":
      import doctest

      doctest.testmod()
      # create an instance of BinaryHeap
      A__       :     Tuple          =BinaryHeap()
      binary_heap.insert(6)
      binary_heap.insert(10)
      binary_heap.insert(15)
      binary_heap.insert(12)
      # pop root(max-values because it is max heap)
      print(binary_heap.pop())  # 15
      print(binary_heap.pop())  # 12
      # get the list and size after operations
      print(binary_heap.get_list)
      print(len(binary_heap))






