



"""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_camembert import CamembertTokenizer
else:
							A    =			None


A    =			logging.get_logger(__name__)

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

A    =			{
    'vocab_file': {
        'camembert-base': 'https://huggingface.co/camembert-base/resolve/main/sentencepiece.bpe.model',
    },
    'tokenizer_file': {
        'camembert-base': 'https://huggingface.co/camembert-base/resolve/main/tokenizer.json',
    },
}

A    =			{
    'camembert-base': 5_1_2,
}

A    =			'▁'






class      UpperCAmelCase__		(      lowerCAmelCase__     ):
		lowerCAmelCase_       :	str 							=     VOCAB_FILES_NAMES
		lowerCAmelCase_       :	List[Any] 							=     PRETRAINED_VOCAB_FILES_MAP
		lowerCAmelCase_       :	Union[str, Any] 							=     PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
		lowerCAmelCase_       :	int 							=     ["input_ids", "attention_mask"]
		lowerCAmelCase_       :	Dict 							=     CamembertTokenizer



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






									'''simple docstring'''

									A         =					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      ,							sep_token=_lowerCamelCase      ,							cls_token=_lowerCamelCase      ,							unk_token=_lowerCamelCase      ,							pad_token=_lowerCamelCase      ,							mask_token=_lowerCamelCase      ,							additional_special_tokens=_lowerCamelCase      ,							**_lowerCamelCase      ,							)

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



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






									'''simple docstring'''

									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 					A_		( self  :    Union[str, Any]      ,							snake_case  :    Tuple      ,							snake_case  :    Tuple = None				)			->						List[int]:






									'''simple docstring'''

									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 					A_		( self  :    List[Any]      ,							snake_case  :    List[str]      ,							snake_case  :    Dict = None				)			->						Tuple[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
									A         =					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,)








"""simple docstring"""







def   lowerCAmelCase__			(     lowerCamelCase__			) ->							int:

							if not isinstance(lowerCamelCase__				,      lowerCamelCase__			):
														raise ValueError('multiplicative_persistence() only accepts integral values'			)
							if num < 0:
														raise ValueError('multiplicative_persistence() does not accept negative values'			)

							A         =					0
							A         =					str(lowerCamelCase__			)

							while len(lowerCamelCase__			) != 1:
														A         =					[int(lowerCamelCase__			) for i in num_string]

														A         =					1
														for i in range(0				,      len(lowerCamelCase__			)			):
																					total *= numbers[i]

														A         =					str(lowerCamelCase__			)

														steps += 1
							return steps

def   lowerCAmelCase__			(     lowerCamelCase__			) ->							int:

							if not isinstance(lowerCamelCase__				,      lowerCamelCase__			):
														raise ValueError('additive_persistence() only accepts integral values'			)
							if num < 0:
														raise ValueError('additive_persistence() does not accept negative values'			)

							A         =					0
							A         =					str(lowerCamelCase__			)

							while len(lowerCamelCase__			) != 1:
														A         =					[int(lowerCamelCase__			) for i in num_string]

														A         =					0
														for i in range(0				,      len(lowerCamelCase__			)			):
																					total += numbers[i]

														A         =					str(lowerCamelCase__			)

														steps += 1
							return steps


if __name__ == "__main__":
							import doctest

							doctest.testmod()



