


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:
 __lowerCAmelCase		       =							None

__lowerCAmelCase		       =							logging.get_logger(__name__)

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

__lowerCAmelCase		       =							{
    '''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'''
        ),
    },
}

__lowerCAmelCase		       =							{
    '''moussaKam/mbarthez''': 10_24,
    '''moussaKam/barthez''': 10_24,
    '''moussaKam/barthez-orangesum-title''': 10_24,
}

__lowerCAmelCase		       =							'''▁'''





class   __a			(    __UpperCamelCase      ):
 __lowercase :							int        = VOCAB_FILES_NAMES
 __lowercase :							List[str]        = PRETRAINED_VOCAB_FILES_MAP
 __lowercase :							Any        = PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
 __lowercase :							Dict        = ['input_ids', 'attention_mask']
 __lowercase :							str        = BarthezTokenizer
 def __init__(   self				, lowerCAmelCase__=None				, lowerCAmelCase__=None				, lowerCAmelCase__="<s>"				, lowerCAmelCase__="</s>"				, lowerCAmelCase__="</s>"				, lowerCAmelCase__="<s>"				, lowerCAmelCase__="<unk>"				, lowerCAmelCase__="<pad>"				, lowerCAmelCase__="<mask>"				, **lowerCAmelCase__				, )					->				Optional[Any]:




        '''simple docstring'''
        # Mask token behave like a normal word, i.e. include the space before it
        lowercase__:   int  			=   AddedToken(lowerCAmelCase__				, lstrip=lowerCAmelCase__				, rstrip=lowerCAmelCase__ ) if isinstance(lowerCAmelCase__				, lowerCAmelCase__ ) else mask_token

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

        lowercase__:   Union[str, Any]  			=   vocab_file
        lowercase__:   Union[str, Any]  			=   False if not self.vocab_file else True
 def 		SCREAMING_SNAKE_CASE__   (   self				, lowerCAmelCase__				, lowerCAmelCase__ = None )					->				List[int]:




        '''simple docstring'''

        if token_ids_a is None:
               return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
        lowercase__:   str  			=   [self.cls_token_id]
        lowercase__:   List[Any]  			=   [self.sep_token_id]
        return cls + token_ids_a + sep + sep + token_ids_a + sep
 def 		SCREAMING_SNAKE_CASE__   (   self				, lowerCAmelCase__				, lowerCAmelCase__ = None )					->				List[int]:




        '''simple docstring'''
        lowercase__:   Optional[Any]  			=   [self.sep_token_id]
        lowercase__:   List[str]  			=   [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 		SCREAMING_SNAKE_CASE__   (   self				, lowerCAmelCase__				, lowerCAmelCase__ = None )					->				Tuple[str]:




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

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

        return (out_vocab_file,)






from __future__ import annotations




def    snake_case_     (  snake_case			,							snake_case     )  ->				list[int]:
       lowercase__:   List[str]  			=   0
       lowercase__:   Dict  			=   len(snake_case     ) - 1

       while i < j:
              if nums[i] + nums[j] == target:
                     return [i, j]
              elif nums[i] + nums[j] < target:
                     lowercase__:   Dict  			=   i + 1
              else:
                     lowercase__:   List[Any]  			=   j - 1

       return []


if __name__ == "__main__":
 import doctest

 doctest.testmod()
 print(F'''{two_pointer([2, 7, 11, 15], 9) = }''')


