






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__			:    int         =				None


A__			:    Dict         =				logging.get_logger(__name__)

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

A__			:    Optional[int]         =				{
    '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__			:    Dict         =				{
    'camembert-base': 5_12,
}

A__			:    Any         =				'▁'
class    _UpperCAmelCase      ( A__			):

				"""simple docstring"""




				lowercase__       							= VOCAB_FILES_NAMES
				lowercase__       							= PRETRAINED_VOCAB_FILES_MAP
				lowercase__       							= PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
				lowercase__       							= ["""input_ids""", """attention_mask"""]
				lowercase__       							= CamembertTokenizer




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

								'''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        lowercase__     (  self		:					Any,						lowerCamelCase		:					List[int],						lowerCamelCase		:					Optional[List[int]] = None						):

								'''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        lowercase__     (  self		:					Optional[Any],						lowerCamelCase		:					List[int],						lowerCamelCase		:					Optional[List[int]] = None						):

								'''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        lowercase__     (  self		:					Tuple,						lowerCamelCase		:					str,						lowerCamelCase		:					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(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,)












from collections import defaultdict
from math import gcd






def 						a    (		lowerCamelCase_ = 150_0000       ):






				'''simple docstring'''
				lowercase__     				=    defaultdict(lowerCamelCase_       )
				lowercase__     				=    2
				while 2 * euclid_m * (euclid_m + 1) <= limit:
								for euclid_n in range((euclid_m % 2) + 1	,     lowerCamelCase_	,     2       ):
												if gcd(lowerCamelCase_	,     lowerCamelCase_       ) > 1:
																continue
												lowercase__     				=    2 * euclid_m * (euclid_m + euclid_n)
												for perimeter in range(lowerCamelCase_	,     limit + 1	,     lowerCamelCase_       ):
																frequencies[perimeter] += 1
								euclid_m += 1
				return sum(1 for frequency in frequencies.values() if frequency == 1       )


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




