import os
from shutil import copyfile
from typing import List, Optional, Tuple

from ...tokenization_utils import AddedToken
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import is_sentencepiece_available, logging


if is_sentencepiece_available():
   from .tokenization_big_bird import BigBirdTokenizer
else:
   __lowerCamelCase			: Optional[int]							   =		None

__lowerCamelCase			: Optional[int]							   =		logging.get_logger(__name__)
__lowerCamelCase			: Union[str, Any]							   =		{'''vocab_file''': '''spiece.model''', '''tokenizer_file''': '''tokenizer.json'''}

__lowerCamelCase			: List[str]							   =		{
    '''vocab_file''': {
        '''google/bigbird-roberta-base''': '''https://huggingface.co/google/bigbird-roberta-base/resolve/main/spiece.model''',
        '''google/bigbird-roberta-large''': (
            '''https://huggingface.co/google/bigbird-roberta-large/resolve/main/spiece.model'''
        ),
        '''google/bigbird-base-trivia-itc''': (
            '''https://huggingface.co/google/bigbird-base-trivia-itc/resolve/main/spiece.model'''
        ),
    },
    '''tokenizer_file''': {
        '''google/bigbird-roberta-base''': (
            '''https://huggingface.co/google/bigbird-roberta-base/resolve/main/tokenizer.json'''
        ),
        '''google/bigbird-roberta-large''': (
            '''https://huggingface.co/google/bigbird-roberta-large/resolve/main/tokenizer.json'''
        ),
        '''google/bigbird-base-trivia-itc''': (
            '''https://huggingface.co/google/bigbird-base-trivia-itc/resolve/main/tokenizer.json'''
        ),
    },
}

__lowerCamelCase			: Any							   =		{
    '''google/bigbird-roberta-base''': 4096,
    '''google/bigbird-roberta-large''': 4096,
    '''google/bigbird-base-trivia-itc''': 4096,
}


__lowerCamelCase			: Optional[Any]							   =		'''▁'''







class __snake_case				(						lowerCamelCase_		):
   lowerCAmelCase_														=							VOCAB_FILES_NAMES
   lowerCAmelCase_														=							PRETRAINED_VOCAB_FILES_MAP
   lowerCAmelCase_														=							PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
   lowerCAmelCase_														=							BigBirdTokenizer
   lowerCAmelCase_														=							["input_ids", "attention_mask"]
   lowerCAmelCase_														=							[]




   def __init__(    self			:				Dict       ,	_lowercase			:				Optional[Any]=None       ,	_lowercase			:				int=None       ,	_lowercase			:				Dict="<unk>"       ,	_lowercase			:				Optional[Any]="<s>"       ,	_lowercase			:				str="</s>"       ,	_lowercase			:				int="<pad>"       ,	_lowercase			:				Any="[SEP]"       ,	_lowercase			:				Any="[MASK]"       ,	_lowercase			:				Tuple="[CLS]"       ,	**_lowercase			:				Dict       ,	):



     """simple docstring"""






     SCREAMING_SNAKE_CASE__										=      AddedToken(_lowercase       ,	lstrip=_lowercase       ,	rstrip=_lowercase      ) if isinstance(_lowercase       ,	_lowercase      ) else bos_token
     SCREAMING_SNAKE_CASE__										=      AddedToken(_lowercase       ,	lstrip=_lowercase       ,	rstrip=_lowercase      ) if isinstance(_lowercase       ,	_lowercase      ) else eos_token
     SCREAMING_SNAKE_CASE__										=      AddedToken(_lowercase       ,	lstrip=_lowercase       ,	rstrip=_lowercase      ) if isinstance(_lowercase       ,	_lowercase      ) else unk_token
     SCREAMING_SNAKE_CASE__										=      AddedToken(_lowercase       ,	lstrip=_lowercase       ,	rstrip=_lowercase      ) if isinstance(_lowercase       ,	_lowercase      ) else pad_token
     SCREAMING_SNAKE_CASE__										=      AddedToken(_lowercase       ,	lstrip=_lowercase       ,	rstrip=_lowercase      ) if isinstance(_lowercase       ,	_lowercase      ) else cls_token
     SCREAMING_SNAKE_CASE__										=      AddedToken(_lowercase       ,	lstrip=_lowercase       ,	rstrip=_lowercase      ) if isinstance(_lowercase       ,	_lowercase      ) else sep_token

     # Mask token behave like a normal word, i.e. include the space before it
     SCREAMING_SNAKE_CASE__										=      AddedToken(_lowercase       ,	lstrip=_lowercase       ,	rstrip=_lowercase      ) if isinstance(_lowercase       ,	_lowercase      ) else mask_token

     super().__init__(
         _lowercase       ,	tokenizer_file=_lowercase       ,	bos_token=_lowercase       ,	eos_token=_lowercase       ,	unk_token=_lowercase       ,	sep_token=_lowercase       ,	pad_token=_lowercase       ,	cls_token=_lowercase       ,	mask_token=_lowercase       ,	**_lowercase       ,	)

     SCREAMING_SNAKE_CASE__										=      vocab_file
     SCREAMING_SNAKE_CASE__										=      False if not self.vocab_file else True




   def 	__a						(    self			:				Any       ,	_lowercase			:				List[int]       ,	_lowercase			:				Optional[List[int]] = None      ):



     """simple docstring"""






     SCREAMING_SNAKE_CASE__										=      [self.sep_token_id]
     SCREAMING_SNAKE_CASE__										=      [self.cls_token_id]
     if token_ids_a is None:
       return cls + token_ids_a + sep
     return cls + token_ids_a + sep + token_ids_a + sep




   def 	__a						(    self			:				Optional[Any]       ,	_lowercase			:				List[int]       ,	_lowercase			:				Optional[List[int]] = None       ,	_lowercase			:				bool = False      ):



     """simple docstring"""






     if already_has_special_tokens:
       if token_ids_a is not None:
         raise ValueError(
             """You should not supply a second sequence if the provided sequence of """
             """ids is already formatted with special tokens for the model."""      )
       return [1 if x in [self.sep_token_id, self.cls_token_id] else 0 for x in token_ids_a]

     if token_ids_a is None:
       return [1] + ([0] * len(_lowercase      )) + [1]
     return [1] + ([0] * len(_lowercase      )) + [1] + ([0] * len(_lowercase      )) + [1]




   def 	__a						(    self			:				Union[str, Any]       ,	_lowercase			:				List[int]       ,	_lowercase			:				Optional[List[int]] = None      ):



     """simple docstring"""






     SCREAMING_SNAKE_CASE__										=      [self.sep_token_id]
     SCREAMING_SNAKE_CASE__										=      [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      ) * [0] + len(token_ids_a + sep      ) * [1]




   def 	__a						(    self			:				Optional[int]       ,	_lowercase			:				str       ,	_lowercase			:				Optional[str] = None      ):



     """simple docstring"""






     if not self.can_save_slow_tokenizer:
       raise ValueError(
           """Your fast tokenizer does not have the necessary information to save the vocabulary for a slow """
           """tokenizer."""      )

     if not os.path.isdir(_lowercase      ):
       logger.error(f"""Vocabulary path ({save_directory}) should be a directory"""      )
       return
     SCREAMING_SNAKE_CASE__										=      os.path.join(
         _lowercase       ,	(filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""vocab_file"""]      )

     if os.path.abspath(self.vocab_file      ) != os.path.abspath(_lowercase      ):
       copyfile(self.vocab_file       ,	_lowercase      )

     return (out_vocab_file,)

import socket



def 	__SCREAMING_SNAKE_CASE  (					)							->					Optional[int]:







  """simple docstring"""





  SCREAMING_SNAKE_CASE__										=      socket.socket(socket.AF_INET ,     socket.SOCK_STREAM	)
  SCREAMING_SNAKE_CASE__										=      socket.gethostname()
  SCREAMING_SNAKE_CASE__										=      1_23_12

  sock.connect((host, port)	)
  sock.send(B"""Hello server!"""	)

  with open("""Received_file""" ,     """wb"""	) as out_file:
    print("""File opened"""	)
    print("""Receiving data..."""	)
    while True:
      SCREAMING_SNAKE_CASE__										=      sock.recv(10_24	)
      if not data:
        break
      out_file.write(__UpperCamelCase	)

  print("""Successfully received the file"""	)
  sock.close()
  print("""Connection closed"""	)


if __name__ == "__main__":
   main()
