



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       =						None

__A       =						logging.get_logger(__name__)

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

__A       =						{
    '''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       =						{
    '''moussaKam/mbarthez''': 1024,
    '''moussaKam/barthez''': 1024,
    '''moussaKam/barthez-orangesum-title''': 1024,
}

__A       =						'''▁'''






class 		lowercase						(			snake_case__):






	"""simple docstring"""


	a__				: Dict		       =							VOCAB_FILES_NAMES
	a__				: List[str]		       =							PRETRAINED_VOCAB_FILES_MAP
	a__				: List[str]		       =							PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
	a__				: Dict		       =							["input_ids", "attention_mask"]
	a__				: List[Any]		       =							BarthezTokenizer




	def __init__(     self     :						Union[str, Any]						,  __UpperCAmelCase     :						Optional[int]=None						,  __UpperCAmelCase     :						int=None						,  __UpperCAmelCase     :						List[Any]="<s>"						,  __UpperCAmelCase     :						Any="</s>"						,  __UpperCAmelCase     :						Optional[int]="</s>"						,  __UpperCAmelCase     :						Union[str, Any]="<s>"						,  __UpperCAmelCase     :						Optional[Any]="<unk>"						,  __UpperCAmelCase     :						Tuple="<pad>"						,  __UpperCAmelCase     :						Optional[Any]="<mask>"						,  **__UpperCAmelCase     :						Any						,  )      ->			Optional[int]:
							# Mask token behave like a normal word, i.e. include the space before it
							UpperCAmelCase_=       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						,  )

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




	def   _SCREAMING_SNAKE_CASE		(     self     :						Any						,  __UpperCAmelCase     :						List[int]						,  __UpperCAmelCase     :						Optional[List[int]] = None					)      ->			List[int]:

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




	def   _SCREAMING_SNAKE_CASE		(     self     :						Any						,  __UpperCAmelCase     :						List[int]						,  __UpperCAmelCase     :						Optional[List[int]] = None					)      ->			List[int]:
							UpperCAmelCase_=       [self.sep_token_id]
							UpperCAmelCase_=       [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     :						Union[str, Any]						,  __UpperCAmelCase     :						str						,  __UpperCAmelCase     :						Optional[str] = None					)      ->			Tuple[str]:
							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
							UpperCAmelCase_=       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,)









__A       =						6_5521



def 	__a					(   lowerCAmelCase_       : str    )				->			int:






						'''simple docstring'''



						UpperCAmelCase_=       1
						UpperCAmelCase_=       0
						for plain_chr in plain_text:
												UpperCAmelCase_=       (a + ord(lowerCAmelCase_    )) % MOD_ADLER
												UpperCAmelCase_=       (b + a) % MOD_ADLER
						return (b << 16) | a




