





'''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:
		lowercase_		:				Union[str, Any]				=						None

lowercase_		:				Dict				=						logging.get_logger(__name__)

lowercase_		:				Tuple				=						{"""vocab_file""": """sentencepiece.bpe.model""", """tokenizer_file""": """tokenizer.json"""}

lowercase_		:				Dict				=						{
    """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"""
        ),
    },
}

lowercase_		:				Any				=						{
    """moussaKam/mbarthez""": 1024,
    """moussaKam/barthez""": 1024,
    """moussaKam/barthez-orangesum-title""": 1024,
}

lowercase_		:				Optional[Any]				=						"""▁"""


class 			lowercase				(							__UpperCAmelCase     ):



						"""simple docstring"""

						_UpperCamelCase  :	List[Any]								=	VOCAB_FILES_NAMES
						_UpperCamelCase  :	Tuple								=	PRETRAINED_VOCAB_FILES_MAP
						_UpperCamelCase  :	List[str]								=	PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
						_UpperCamelCase  :	str								=	["input_ids", "attention_mask"]
						_UpperCamelCase  :	Any								=	BarthezTokenizer







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





										'''simple docstring'''







										_snake_case :			List[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_ ,				)

										_snake_case :			int  						=   vocab_file
										_snake_case :			str  						=   False if not self.vocab_file else True







						def 		__UpperCAmelCase       (    self			:		Optional[int] ,				lowerCamelCase_			:		Optional[int] ,				lowerCamelCase_			:		List[Any] = None					):





										'''simple docstring'''







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







						def 		__UpperCAmelCase       (    self			:		List[Any] ,				lowerCamelCase_			:		str ,				lowerCamelCase_			:		Any = None					):





										'''simple docstring'''







										_snake_case :			Any  						=   [self.sep_token_id]
										_snake_case :			Optional[int]  						=   [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 		__UpperCAmelCase       (    self			:		Dict ,				lowerCamelCase_			:		Tuple ,				lowerCamelCase_			:		Optional[int] = None					):





										'''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
										_snake_case :			List[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,)













def       A__(		__lowerCAmelCase ):
				assert column_title.isupper()
				_snake_case :			List[Any]  						=   0
				_snake_case :			List[str]  						=   len(__lowerCAmelCase ) - 1
				_snake_case :			Dict  						=   0

				while index >= 0:
								_snake_case :			List[str]  						=   (ord(column_title[index] ) - 64) * pow(26	,			__lowerCAmelCase )
								answer += value
								power += 1
								index -= 1

				return answer


if __name__ == "__main__":
		from doctest import testmod

		testmod()






