
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_barthez import BarthezTokenizer
else:
     __magic_name__            =  None

__magic_name__            =  logging.get_logger(__name__)

__magic_name__            =  {'''vocab_file''': '''sentencepiece.bpe.model''', '''tokenizer_file''': '''tokenizer.json'''}

__magic_name__            =  {
    '''vocab_file''': {
        '''moussaKam/mbarthez''': '''https://huggingface.co/moussaKam/mbarthez/resolve/main/sentencepiece.bpe.model''',
        '''moussaKam/barthez''': '''https://huggingface.co/moussaKam/barthez/resolve/main/sentencepiece.bpe.model''',
        '''moussaKam/barthez-orangesum-title''': (
            '''https://huggingface.co/moussaKam/barthez-orangesum-title/resolve/main/sentencepiece.bpe.model'''
        ),
    },
    '''tokenizer_file''': {
        '''moussaKam/mbarthez''': '''https://huggingface.co/moussaKam/mbarthez/resolve/main/tokenizer.json''',
        '''moussaKam/barthez''': '''https://huggingface.co/moussaKam/barthez/resolve/main/tokenizer.json''',
        '''moussaKam/barthez-orangesum-title''': (
            '''https://huggingface.co/moussaKam/barthez-orangesum-title/resolve/main/tokenizer.json'''
        ),
    },
}

__magic_name__            =  {
    '''moussaKam/mbarthez''': 1_024,
    '''moussaKam/barthez''': 1_024,
    '''moussaKam/barthez-orangesum-title''': 1_024,
}

__magic_name__            =  '''▁'''




class 					_SCREAMING_SNAKE_CASE  (      __snake_case ):
      _A						:		Dict    	=     VOCAB_FILES_NAMES
      _A						:		Union[str, Any]    	=     PRETRAINED_VOCAB_FILES_MAP
      _A						:		List[Any]    	=     PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
      _A						:		Dict    	=     ['input_ids', 'attention_mask']
      _A						:		Dict    	=     BarthezTokenizer
      def __init__(			self		,	lowerCamelCase=None		,	lowerCamelCase=None		,	lowerCamelCase="<s>"		,	lowerCamelCase="</s>"		,	lowerCamelCase="</s>"		,	lowerCamelCase="<s>"		,	lowerCamelCase="<unk>"		,	lowerCamelCase="<pad>"		,	lowerCamelCase="<mask>"		,	**lowerCamelCase		,	):
          snake_case__						=				AddedToken(__UpperCamelCase		,	lstrip=__UpperCamelCase		,	rstrip=__UpperCamelCase ) if isinstance(__UpperCamelCase		,	__UpperCamelCase ) else mask_token

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

          snake_case__						=				vocab_file
          snake_case__						=				False if not self.vocab_file else True
      def A_			(			self		,	lowerCamelCase		,	lowerCamelCase = None ):


          if token_ids_a is None:
              return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
          snake_case__						=				[self.cls_token_id]
          snake_case__						=				[self.sep_token_id]
          return cls + token_ids_a + sep + sep + token_ids_a + sep
      def A_			(			self		,	lowerCamelCase		,	lowerCamelCase = None ):
          snake_case__						=				[self.sep_token_id]
          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 + sep + token_ids_a + sep ) * [0]



      def A_			(			self		,	lowerCamelCase		,	lowerCamelCase = None ):


          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(__UpperCamelCase ):
              logger.error(F"""Vocabulary path ({save_directory}) should be a directory""" )
              return
          snake_case__						=				os.path.join(
              __UpperCamelCase		,	(filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab_file"] )

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

          return (out_vocab_file,)


from __future__ import annotations





def 	SCREAMING_SNAKE_CASE__    (      __lowerCAmelCase    ,		__lowerCAmelCase							):
    snake_case__						,					snake_case__						=				set(__lowerCAmelCase							), [start]

    while stack:
        snake_case__						=				stack.pop()
        explored.add(__lowerCAmelCase							)
        # Differences from BFS:
        # 1) pop last element instead of first one
        # 2) add adjacent elements to stack without exploring them
        for adj in reversed(graph[v]							):
            if adj not in explored:
                stack.append(__lowerCAmelCase							)
    return explored


__magic_name__            =  {
    '''A''': ['''B''', '''C''', '''D'''],
    '''B''': ['''A''', '''D''', '''E'''],
    '''C''': ['''A''', '''F'''],
    '''D''': ['''B''', '''D'''],
    '''E''': ['''B''', '''F'''],
    '''F''': ['''C''', '''E''', '''G'''],
    '''G''': ['''F'''],
}

if __name__ == "__main__":
     import doctest

     doctest.testmod()
     print(depth_first_search(G, '''A'''))



