



"""simple docstring"""






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:
	__snake_case							:   List[str]      =    None

__snake_case							:   Union[str, Any]      =    logging.get_logger(__name__)

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

__snake_case							:   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'
        ),
    },
}

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

__snake_case							:   str      =    '▁'



class 			A__   (  __SCREAMING_SNAKE_CASE							):




	'''simple docstring'''





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

	def __init__(     self:		List[Any]       ,			_SCREAMING_SNAKE_CASE:		int=None       ,			_SCREAMING_SNAKE_CASE:		Any=None       ,			_SCREAMING_SNAKE_CASE:		Optional[Any]="<s>"       ,			_SCREAMING_SNAKE_CASE:		List[Any]="</s>"       ,			_SCREAMING_SNAKE_CASE:		int="</s>"       ,			_SCREAMING_SNAKE_CASE:		List[str]="<s>"       ,			_SCREAMING_SNAKE_CASE:		List[Any]="<unk>"       ,			_SCREAMING_SNAKE_CASE:		Optional[int]="<pad>"       ,			_SCREAMING_SNAKE_CASE:		List[str]="<mask>"       ,			**_SCREAMING_SNAKE_CASE:		Optional[int]       ,			)				->       Dict:

				"""simple docstring"""

				__lowerCAmelCase      :  Any												=       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       ,			)

				__lowerCAmelCase      :  Any												=       vocab_file
				__lowerCAmelCase      :  str												=       False if not self.vocab_file else True

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

				"""simple docstring"""

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

	def 							_SCREAMING_SNAKE_CASE   (     self:		Dict       ,			_SCREAMING_SNAKE_CASE:		Tuple       ,			_SCREAMING_SNAKE_CASE:		List[Any] = None)				->       Any:

				"""simple docstring"""

				__lowerCAmelCase      :  Any												=       [self.sep_token_id]
				__lowerCAmelCase      :  Tuple												=       [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:		Optional[int]       ,			_SCREAMING_SNAKE_CASE:		Dict       ,			_SCREAMING_SNAKE_CASE:		List[str] = None)				->       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
				__lowerCAmelCase      :  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,)






_a 						=      65_521





def lowerCAmelCase__(__snake_case							)				->      int:







	'''simple docstring'''







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



