
from .hash_table import HashTable
from .number_theory.prime_numbers import is_prime, next_prime







class 	A__				(	__magic_name__      ):






				def __init__(		self   : Dict       ,	*a   : int       ,	**a   : Any  ):






							'''simple docstring'''







							super().__init__(*UpperCAmelCase_       ,	**UpperCAmelCase_  )






				def 				_lowerCamelCase						(		self   : Tuple       ,	a   : Optional[int]       ,	a   : Tuple  ):






							'''simple docstring'''







							lowerCAmelCase__ : List[Any]   =						(
							    next_prime(value % self.size_table  )
							    if not is_prime(value % self.size_table  )
							    else value % self.size_table
							)  # gt = bigger than
							return next_prime_gt - (data % next_prime_gt)






				def 				_lowerCamelCase						(		self   : Optional[Any]       ,	a   : Tuple       ,	a   : List[Any]       ,	a   : Optional[Any]  ):






							'''simple docstring'''







							return (increment * self.__hash_function_a(UpperCAmelCase_       ,	UpperCAmelCase_  )) % self.size_table






				def 				_lowerCamelCase						(		self   : Union[str, Any]       ,	a   : str       ,	a   : Optional[Any]=None  ):






							'''simple docstring'''







							lowerCAmelCase__ : Union[str, Any]   =						1
							lowerCAmelCase__ : Union[str, Any]   =						self.hash_function(UpperCAmelCase_  )

							while self.values[new_key] is not None and self.values[new_key] != key:
										lowerCAmelCase__ : Tuple   =						(
										    self.__hash_double_function(UpperCAmelCase_       ,	UpperCAmelCase_       ,	UpperCAmelCase_  )
										    if self.balanced_factor() >= self.lim_charge
										    else None
										)
										if new_key is None:
													break
										else:
													i += 1

							return new_key






import argparse
import os


UpperCAmelCase__    :      Any       					={
    '''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__":
							UpperCAmelCase__    :      Tuple       					=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)
							UpperCAmelCase__    :      List[str]       					=parser.parse_args()

							UpperCAmelCase__    :      Dict       					=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")

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





