





import json
from typing import List, Optional, Tuple

from tokenizers import normalizers

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_mobilebert import MobileBertTokenizer


lowerCAmelCase_    =    logging.get_logger(__name__)

lowerCAmelCase_    =    {'''vocab_file''': '''vocab.txt''', '''tokenizer_file''': '''tokenizer.json'''}

lowerCAmelCase_    =    {
    '''vocab_file''': {'''mobilebert-uncased''': '''https://huggingface.co/google/mobilebert-uncased/resolve/main/vocab.txt'''},
    '''tokenizer_file''': {
        '''mobilebert-uncased''': '''https://huggingface.co/google/mobilebert-uncased/resolve/main/tokenizer.json'''
    },
}

lowerCAmelCase_    =    {'''mobilebert-uncased''': 5_1_2}


lowerCAmelCase_    =    {}



class  __lowerCAmelCase	(      _lowercase					):
			lowerCamelCase_					:					Any	      =				VOCAB_FILES_NAMES
			lowerCamelCase_					:					Optional[Any]	      =				PRETRAINED_VOCAB_FILES_MAP
			lowerCamelCase_					:					Any	      =				PRETRAINED_INIT_CONFIGURATION
			lowerCamelCase_					:					int	      =				PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
			lowerCamelCase_					:					Dict	      =				MobileBertTokenizer






			def __init__(self ,							__magic_name__=None ,							__magic_name__=None ,							__magic_name__=True ,							__magic_name__="[UNK]" ,							__magic_name__="[SEP]" ,							__magic_name__="[PAD]" ,							__magic_name__="[CLS]" ,							__magic_name__="[MASK]" ,							__magic_name__=True ,							__magic_name__=None ,							**__magic_name__ ,							)					->       int:


							'''simple docstring'''



							super().__init__(
							    __UpperCamelCase ,							tokenizer_file=__UpperCamelCase ,							do_lower_case=__UpperCamelCase ,							unk_token=__UpperCamelCase ,							sep_token=__UpperCamelCase ,							pad_token=__UpperCamelCase ,							cls_token=__UpperCamelCase ,							mask_token=__UpperCamelCase ,							tokenize_chinese_chars=__UpperCamelCase ,							strip_accents=__UpperCamelCase ,							**__UpperCamelCase ,							)

							snake_case_						:   str           =  json.loads(self.backend_tokenizer.normalizer.__getstate__()   )
							if (
							    normalizer_state.get('''lowercase''' ,							__UpperCamelCase   ) != do_lower_case
							    or normalizer_state.get('''strip_accents''' ,							__UpperCamelCase   ) != strip_accents
							    or normalizer_state.get('''handle_chinese_chars''' ,							__UpperCamelCase   ) != tokenize_chinese_chars
							):
											snake_case_						:   List[Any]           =  getattr(__UpperCamelCase ,							normalizer_state.pop('''type'''   )   )
											snake_case_						:   str           =  do_lower_case
											snake_case_						:   Optional[int]           =  strip_accents
											snake_case_						:   Union[str, Any]           =  tokenize_chinese_chars
											snake_case_						:   Tuple           =  normalizer_class(**__UpperCamelCase   )

							snake_case_						:   Dict           =  do_lower_case






			def       lowerCamelCase  (self ,							__magic_name__ ,							__magic_name__=None   )					->       str:


							'''simple docstring'''



							snake_case_						:   Dict           =  [self.cls_token_id] + token_ids_a + [self.sep_token_id]

							if token_ids_a:
											output += token_ids_a + [self.sep_token_id]

							return output






			def       lowerCamelCase  (self ,							__magic_name__ ,							__magic_name__ = None   )					->       List[int]:


							'''simple docstring'''



							snake_case_						:   List[str]           =  [self.sep_token_id]
							snake_case_						:   List[Any]           =  [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   ) * [0] + len(token_ids_a + sep   ) * [1]






			def       lowerCamelCase  (self ,							__magic_name__ ,							__magic_name__ = None   )					->       Tuple[str]:


							'''simple docstring'''



							snake_case_						:   Optional[int]           =  self._tokenizer.model.save(__UpperCamelCase ,							name=__UpperCamelCase   )
							return tuple(__UpperCamelCase   )







import random

from .binary_exp_mod import bin_exp_mod






def 					lowerCamelCase_						(    _UpperCamelCase			,    _UpperCamelCase=1_000			)		->						str:






				"""simple docstring"""


				if n < 2:
								return False

				if n % 2 == 0:
								return n == 2

				# this means n is odd
				snake_case_						:   int           =  n - 1
				snake_case_						:   Union[str, Any]           =  0
				while d % 2 == 0:
								d /= 2
								exp += 1

				# n - 1=d*(2**exp)
				snake_case_						:   List[Any]           =  0
				while count < prec:
								snake_case_						:   Tuple           =  random.randint(2			,    n - 1			)
								snake_case_						:   List[Any]           =  bin_exp_mod(_UpperCamelCase			,    _UpperCamelCase			,    _UpperCamelCase			)
								if b != 1:
												snake_case_						:   Any           =  True
												for _ in range(_UpperCamelCase			):
																if b == n - 1:
																				snake_case_						:   Tuple           =  False
																				break
																snake_case_						:   List[Any]           =  b * b
																b %= n
												if flag:
																return False
												count += 1
				return True


if __name__ == "__main__":
	lowerCAmelCase_    =    abs(int(input('''Enter bound : ''').strip()))
	print('''Here\'s the list of primes:''')
	print(''', '''.join(str(i) for i in range(n + 1) if is_prime_big(i)))
