






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:
							__UpperCamelCase					:		Optional[Any]	  =						None

__UpperCamelCase					:		List[str]	  =						logging.get_logger(__name__)

__UpperCamelCase					:		Optional[Any]	  =						{'''vocab_file''': '''sentencepiece.bpe.model''', '''tokenizer_file''': '''tokenizer.json'''}

__UpperCamelCase					:		int	  =						{
    '''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'''
        ),
    },
}

__UpperCamelCase					:		Optional[int]	  =						{
    '''moussaKam/mbarthez''': 1024,
    '''moussaKam/barthez''': 1024,
    '''moussaKam/barthez-orangesum-title''': 1024,
}

__UpperCamelCase					:		int	  =						'''▁'''


class   __SCREAMING_SNAKE_CASE(	a_	):
							_UpperCAmelCase     =       VOCAB_FILES_NAMES
							_UpperCAmelCase     =       PRETRAINED_VOCAB_FILES_MAP
							_UpperCAmelCase     =       PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
							_UpperCAmelCase     =       ["input_ids", "attention_mask"]
							_UpperCAmelCase     =       BarthezTokenizer
							def __init__(     self:      Optional[int]       ,	UpperCamelCase:      Union[str, Any]=None       ,	UpperCamelCase:      Optional[int]=None       ,	UpperCamelCase:      List[Any]="<s>"       ,	UpperCamelCase:      List[str]="</s>"       ,	UpperCamelCase:      Optional[Any]="</s>"       ,	UpperCamelCase:      Dict="<s>"       ,	UpperCamelCase:      List[str]="<unk>"       ,	UpperCamelCase:      int="<pad>"       ,	UpperCamelCase:      Union[str, Any]="<mask>"       ,	**UpperCamelCase:      int       ,	)		->		str:
											snake_case__									=     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_       ,	)

											snake_case__									=     vocab_file
											snake_case__									=     False if not self.vocab_file else True
							def lowerCAmelCase_ (     self:      int       ,	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]
											snake_case__									=     [self.cls_token_id]
											snake_case__									=     [self.sep_token_id]
											return cls + token_ids_a + sep + sep + token_ids_a + sep
							def lowerCAmelCase_ (     self:      Optional[int]       ,	UpperCamelCase:      List[int]       ,	UpperCamelCase:      Optional[List[int]] = None						)		->		List[int]:
											snake_case__									=     [self.sep_token_id]
											snake_case__									=     [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:      int       ,	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
											snake_case__									=     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,)








from argparse import ArgumentParser

from .env import EnvironmentCommand
def      a_ (      )			->			Optional[Any]:







				"""simple docstring"""
				snake_case__									=     ArgumentParser('Diffusers CLI tool'      ,   usage='diffusers-cli <command> [<args>]'  )
				snake_case__									=     parser.add_subparsers(help='diffusers-cli command helpers'  )

				# Register commands
				EnvironmentCommand.register_subcommand(_A  )

				# Let's go
				snake_case__									=     parser.parse_args()

				if not hasattr(_A      ,   'func'  ):
								parser.print_help()
								exit(1  )

				# Run
				snake_case__									=     args.func(_A  )
				service.run()


if __name__ == "__main__":
							main()




