





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:
 __A							:			Tuple         =			None

__A							:			Tuple         =			logging.get_logger(__name__)

__A							:			Union[str, Any]         =			{"vocab_file": "sentencepiece.bpe.model", "tokenizer_file": "tokenizer.json"}

__A							:			List[Any]         =			{
    "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"
        ),
    },
}

__A							:			List[Any]         =			{
    "moussaKam/mbarthez": 1_024,
    "moussaKam/barthez": 1_024,
    "moussaKam/barthez-orangesum-title": 1_024,
}

__A							:			Optional[int]         =			"▁"







class      lowerCamelCase(						__snake_case	):
     '''simple docstring'''


     __magic_name__   =			VOCAB_FILES_NAMES
     __magic_name__   =			PRETRAINED_VOCAB_FILES_MAP
     __magic_name__   =			PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
     __magic_name__   =			['input_ids', 'attention_mask']
     __magic_name__   =			BarthezTokenizer




     def __init__(    self				,     snake_case_=None				,     snake_case_=None				,     snake_case_="<s>"				,     snake_case_="</s>"				,     snake_case_="</s>"				,     snake_case_="<s>"				,     snake_case_="<unk>"				,     snake_case_="<pad>"				,     snake_case_="<mask>"				,     **snake_case_				,     ):
         # Mask token behave like a normal word, i.e. include the space before it
         _A     =							AddedToken(snake_case_				,     lstrip=snake_case_				,     rstrip=snake_case_							) if isinstance(snake_case_				,     snake_case_							) else mask_token

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

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




     def        lowerCAmelCase__		(    self				,     snake_case_				,     snake_case_ = None							):

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




     def        lowerCAmelCase__		(    self				,     snake_case_				,     snake_case_ = None							):
         _A     =							[self.sep_token_id]
         _A     =							[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        lowerCAmelCase__		(    self				,     snake_case_				,     snake_case_ = 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(snake_case_							):
             logger.error(F"Vocabulary path ({save_directory}) should be a directory"							)
             return
         _A     =							os.path.join(
             snake_case_				,     (filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file']							)

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

         return (out_vocab_file,)












from collections.abc import Callable





def 				__lowerCAmelCase(       _SCREAMING_SNAKE_CASE							,     _SCREAMING_SNAKE_CASE							,     _SCREAMING_SNAKE_CASE				)							-> float:




    """simple docstring"""




    _A     =							a
    _A     =							b
    if function(_SCREAMING_SNAKE_CASE				) == 0:  # one of the a or b is a root for the function
        return a
    elif function(_SCREAMING_SNAKE_CASE				) == 0:
        return b
    elif (
        function(_SCREAMING_SNAKE_CASE				) * function(_SCREAMING_SNAKE_CASE				) > 0
    ):  # if none of these are root and they are both positive or negative,
        # then this algorithm can't find the root
        raise ValueError('could not find root in given interval.'				)
    else:
        _A     =							start + (end - start) / 2.0
        while abs(start - mid				) > 10**-7:  # until precisely equals to 10^-7
            if function(_SCREAMING_SNAKE_CASE				) == 0:
                return mid
            elif function(_SCREAMING_SNAKE_CASE				) * function(_SCREAMING_SNAKE_CASE				) < 0:
                _A     =							mid
            else:
                _A     =							mid
            _A     =							start + (end - start) / 2.0
        return mid





def 				__lowerCAmelCase(       _SCREAMING_SNAKE_CASE				)							-> float:




    """simple docstring"""




    return x**3 - 2 * x - 5


if __name__ == "__main__":
 print(bisection(f, 1, 1_000))

 import doctest

 doctest.testmod()





