





'''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:
	_SCREAMING_SNAKE_CASE					=    None


_SCREAMING_SNAKE_CASE					=    logging.get_logger(__name__)

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

_SCREAMING_SNAKE_CASE					=    {
    '''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''',
    },
}

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

_SCREAMING_SNAKE_CASE					=    '''▁'''






class 							__lowercase       (      lowerCAmelCase__						):







	'''simple docstring'''

	a    :				str											=       VOCAB_FILES_NAMES
	a    :				List[Any]											=       PRETRAINED_VOCAB_FILES_MAP
	a    :				Union[str, Any]											=       PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
	a    :				int											=       ["input_ids", "attention_mask"]
	a    :				Dict											=       CamembertTokenizer


	def __init__(self     ,_lowerCamelCase=None     ,_lowerCamelCase=None     ,_lowerCamelCase="<s>"     ,_lowerCamelCase="</s>"     ,_lowerCamelCase="</s>"     ,_lowerCamelCase="<s>"     ,_lowerCamelCase="<unk>"     ,_lowerCamelCase="<pad>"     ,_lowerCamelCase="<mask>"     ,_lowerCamelCase=["<s>NOTUSED", "</s>NOTUSED"]     ,**_lowerCamelCase     ,)							->							Dict:







				'''simple docstring'''





				__lowercase										=							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     ,)

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


	def 						_UpperCAmelCase     (self     ,_lowerCamelCase     ,_lowerCamelCase = None )							->							List[int]:







				'''simple docstring'''





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


	def 						_UpperCAmelCase     (self     ,_lowerCamelCase     ,_lowerCamelCase = None )							->							List[int]:







				'''simple docstring'''





				__lowercase										=							[self.sep_token_id]
				__lowercase										=							[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     ,_lowerCamelCase     ,_lowerCamelCase = 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
				__lowercase										=							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'''



import math




def    _lowerCAmelCase						(				lowerCamelCase_			:  int				):
			assert isinstance(lowerCamelCase_		,       lowerCamelCase_				) and (
			    number >= 0
			), "'number' must been an int and positive"

			if 1 < number < 4:
						# 2 and 3 are primes
						return True
			elif number < 2 or not number % 2:
						# Negatives, 0, 1 and all even numbers are not primes
						return False

			__lowercase										=							range(3		,       int(math.sqrt(lowerCamelCase_				) + 1				)		,       2				)
			return not any(not number % i for i in odd_numbers				)




def    _lowerCAmelCase						(				lowerCamelCase_			:  Dict		,       lowerCamelCase_			:  Any=1		,       **lowerCamelCase_			:  Tuple				):
			__lowercase										=							factor * value
			__lowercase										=							value

			while not is_prime(lowerCamelCase_				):
						value += 1 if not ("desc" in kwargs and kwargs["desc"] is True) else -1

			if value == first_value_val:
						return next_prime(value + 1		,       **lowerCamelCase_				)
			return value





