






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    _lowerCAmelCase			(		lowercase_      ):



				"""simple docstring"""



				_lowercase				:   int      =  VOCAB_FILES_NAMES
				_lowercase				:   str      =  PRETRAINED_VOCAB_FILES_MAP
				_lowercase				:   Any      =  PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
				_lowercase				:   Optional[Any]      =  ['''input_ids''', '''attention_mask''']
				_lowercase				:   str      =  CamembertTokenizer



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






											'''simple docstring'''







											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__			,		sep_token=UpperCamelCase__			,		cls_token=UpperCamelCase__			,		unk_token=UpperCamelCase__			,		pad_token=UpperCamelCase__			,		mask_token=UpperCamelCase__			,		additional_special_tokens=UpperCamelCase__			,		**UpperCamelCase__			,		)

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



				def 					__magic_name__							(      self    :    Optional[int]			,		UpperCamelCase__    :    List[int]			,		UpperCamelCase__    :    Optional[List[int]] = None):






											'''simple docstring'''







											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 					__magic_name__							(      self    :    Union[str, Any]			,		UpperCamelCase__    :    List[int]			,		UpperCamelCase__    :    Optional[List[int]] = None):






											'''simple docstring'''







											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 					__magic_name__							(      self    :    str			,		UpperCamelCase__    :    str			,		UpperCamelCase__    :    Optional[str] = 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(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,)








import math
from collections.abc import Iterator
from itertools import takewhile

def _UpperCAmelCase   (	a						:	int ):

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

							# All primes number are in format of 6k +/- 1
							for i in range(5  ,					int(math.sqrt(a ) + 1 )  ,					6 ):
														if number % i == 0 or number % (i + 2) == 0:
																					return False
							return True

def _UpperCAmelCase   (	):
							snake_case__	  =       2
							while True:
														if is_prime(a ):
																					yield num
														num += 1

def _UpperCAmelCase   (	a						:	int = 200_0000 ):
							return sum(takewhile(lambda a : x < n  ,					prime_generator() ) )


if __name__ == "__main__":
	print(F'''{solution() = }''')
