
"""simple docstring"""





import json
from typing import List, Optional, Tuple

from tokenizers import normalizers

from ...tokenization_utils import AddedToken
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_mpnet import MPNetTokenizer


_a									=				logging.get_logger(__name__)

_a									=				{'vocab_file': 'vocab.txt', 'tokenizer_file': 'tokenizer.json'}

_a									=				{
    'vocab_file': {
        'microsoft/mpnet-base': 'https://huggingface.co/microsoft/mpnet-base/resolve/main/vocab.txt',
    },
    'tokenizer_file': {
        'microsoft/mpnet-base': 'https://huggingface.co/microsoft/mpnet-base/resolve/main/tokenizer.json',
    },
}

_a									=				{
    'microsoft/mpnet-base': 512,
}

_a									=				{
    'microsoft/mpnet-base': {'do_lower_case': True},
}


class A_      (__SCREAMING_SNAKE_CASE ):




  '''simple docstring'''
  SCREAMING_SNAKE_CASE__     :		Tuple    	=						VOCAB_FILES_NAMES
  SCREAMING_SNAKE_CASE__     :		List[str]    	=						PRETRAINED_VOCAB_FILES_MAP
  SCREAMING_SNAKE_CASE__     :		List[str]    	=						PRETRAINED_INIT_CONFIGURATION
  SCREAMING_SNAKE_CASE__     :		Optional[int]    	=						PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
  SCREAMING_SNAKE_CASE__     :		Optional[Any]    	=						MPNetTokenizer
  SCREAMING_SNAKE_CASE__     :		Optional[Any]    	=						["""input_ids""", """attention_mask"""]







  def __init__(						self							,  lowercase_=None							,  lowercase_=None							,  lowercase_=True							,  lowercase_="<s>"							,  lowercase_="</s>"							,  lowercase_="</s>"							,  lowercase_="<s>"							,  lowercase_="[UNK]"							,  lowercase_="<pad>"							,  lowercase_="<mask>"							,  lowercase_=True							,  lowercase_=None							,  **lowercase_							,  ):

     """simple docstring"""
     super().__init__(
         __UpperCamelCase							,  tokenizer_file=__UpperCamelCase							,  do_lower_case=__UpperCamelCase							,  bos_token=__UpperCamelCase							,  eos_token=__UpperCamelCase							,  sep_token=__UpperCamelCase							,  cls_token=__UpperCamelCase							,  unk_token=__UpperCamelCase							,  pad_token=__UpperCamelCase							,  mask_token=__UpperCamelCase							,  tokenize_chinese_chars=__UpperCamelCase							,  strip_accents=__UpperCamelCase							,  **__UpperCamelCase							,  )

     UpperCAmelCase_   :   Tuple     	=       json.loads(self.backend_tokenizer.normalizer.__getstate__()    )
     if (
         pre_tok_state.get("lowercase"							,  __UpperCamelCase    ) != do_lower_case
         or pre_tok_state.get("strip_accents"							,  __UpperCamelCase    ) != strip_accents
     ):
        UpperCAmelCase_   :   Dict     	=       getattr(__UpperCamelCase							,  pre_tok_state.pop("type"    )    )
        UpperCAmelCase_   :   Tuple     	=       do_lower_case
        UpperCAmelCase_   :   Union[str, Any]     	=       strip_accents
        UpperCAmelCase_   :   List[Any]     	=       pre_tok_class(**__UpperCamelCase    )

     UpperCAmelCase_   :   Dict     	=       do_lower_case







  @property
  def 			UpperCamelCase__   (						self    ):

     """simple docstring"""


     if self._mask_token is None:
        if self.verbose:
           logger.error("Using mask_token, but it is not set yet."    )
        return None
     return str(self._mask_token    )







  @mask_token.setter
  def 			UpperCamelCase__   (						self							,  lowercase_    ):

     """simple docstring"""
     UpperCAmelCase_   :   List[Any]     	=       AddedToken(__UpperCamelCase							,  lstrip=__UpperCamelCase							,  rstrip=__UpperCamelCase    ) if isinstance(__UpperCamelCase							,  __UpperCamelCase    ) else value
     UpperCAmelCase_   :   List[Any]     	=       value







  def 			UpperCamelCase__   (						self							,  lowercase_							,  lowercase_=None    ):

     """simple docstring"""
     UpperCAmelCase_   :   str     	=       [self.bos_token_id] + token_ids_a + [self.eos_token_id]
     if token_ids_a is None:
        return output

     return output + [self.eos_token_id] + token_ids_a + [self.eos_token_id]







  def 			UpperCamelCase__   (						self							,  lowercase_							,  lowercase_ = None    ):

     """simple docstring"""
     UpperCAmelCase_   :   Optional[int]     	=       [self.sep_token_id]
     UpperCAmelCase_   :   Optional[Any]     	=       [self.cls_token_id]

     if token_ids_a is None:
        return len(cls + token_ids_a + sep    ) * [0]
     return len(cls + token_ids_a + sep + sep + token_ids_a + sep    ) * [0]







  def 			UpperCamelCase__   (						self							,  lowercase_							,  lowercase_ = None    ):

     """simple docstring"""
     UpperCAmelCase_   :   Union[str, Any]     	=       self._tokenizer.model.save(__UpperCamelCase							,  name=__UpperCamelCase    )
     return tuple(__UpperCamelCase    )




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''')



