



"""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:
	__snake_case							:   Dict      =    None


__snake_case							:   str      =    logging.get_logger(__name__)

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

__snake_case							:   List[str]      =    {
    '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',
    },
}

__snake_case							:   int      =    {
    'camembert-base': 512,
}

__snake_case							:   Optional[Any]      =    '▁'



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          =	CamembertTokenizer

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

				"""simple docstring"""

				__lowerCAmelCase      :  Union[str, Any]												=       AddedToken(_SCREAMING_SNAKE_CASE       ,			lstrip=_SCREAMING_SNAKE_CASE       ,			rstrip=_SCREAMING_SNAKE_CASE) if isinstance(_SCREAMING_SNAKE_CASE       ,			_SCREAMING_SNAKE_CASE) else mask_token

				super().__init__(
				    _SCREAMING_SNAKE_CASE       ,			tokenizer_file=_SCREAMING_SNAKE_CASE       ,			bos_token=_SCREAMING_SNAKE_CASE       ,			eos_token=_SCREAMING_SNAKE_CASE       ,			sep_token=_SCREAMING_SNAKE_CASE       ,			cls_token=_SCREAMING_SNAKE_CASE       ,			unk_token=_SCREAMING_SNAKE_CASE       ,			pad_token=_SCREAMING_SNAKE_CASE       ,			mask_token=_SCREAMING_SNAKE_CASE       ,			additional_special_tokens=_SCREAMING_SNAKE_CASE       ,			**_SCREAMING_SNAKE_CASE       ,			)

				__lowerCAmelCase      :  int												=       vocab_file
				__lowerCAmelCase      :  Union[str, Any]												=       False if not self.vocab_file else True

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

				"""simple docstring"""

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

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

				"""simple docstring"""

				__lowerCAmelCase      :  Tuple												=       [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:		List[str]       ,			_SCREAMING_SNAKE_CASE:		str       ,			_SCREAMING_SNAKE_CASE:		Optional[str] = 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(_SCREAMING_SNAKE_CASE):
							logger.error(F"""Vocabulary path ({save_directory}) should be a directory""")
							return
				__lowerCAmelCase      :  Dict												=       os.path.join(
				    _SCREAMING_SNAKE_CASE       ,			(filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab_file"])

				if os.path.abspath(self.vocab_file) != os.path.abspath(_SCREAMING_SNAKE_CASE):
							copyfile(self.vocab_file       ,			_SCREAMING_SNAKE_CASE)

				return (out_vocab_file,)




"""simple docstring"""






def 			_lowercase				(  __snake_case					,__snake_case	)						->   float:
			if digit_amount > 0:
						return round(number - int(__snake_case	)					,__snake_case	)
			return number - int(__snake_case	)


if __name__ == "__main__":
	print(decimal_isolate(1.53, 0))
	print(decimal_isolate(35.345, 1))
	print(decimal_isolate(35.345, 2))
	print(decimal_isolate(35.345, 3))
	print(decimal_isolate(-14.789, 3))
	print(decimal_isolate(0, 2))
	print(decimal_isolate(-14.123, 1))
	print(decimal_isolate(-14.123, 2))
	print(decimal_isolate(-14.123, 3))