

"""simple docstring"""




from ...configuration_utils import PretrainedConfig
from ...utils import logging


SCREAMING_SNAKE_CASE_     :			Optional[Any]	  =						logging.get_logger(__name__)

SCREAMING_SNAKE_CASE_     :			Optional[int]	  =						{
    '''SCUT-DLVCLab/lilt-roberta-en-base''': (
        '''https://huggingface.co/SCUT-DLVCLab/lilt-roberta-en-base/resolve/main/config.json'''
    ),
}


class 		_A       (			__a					):
      __a								=	'lilt'





      def __init__(  self    ,						SCREAMING_SNAKE_CASE__=30522    ,						SCREAMING_SNAKE_CASE__=768    ,						SCREAMING_SNAKE_CASE__=12    ,						SCREAMING_SNAKE_CASE__=12    ,						SCREAMING_SNAKE_CASE__=3072    ,						SCREAMING_SNAKE_CASE__="gelu"    ,						SCREAMING_SNAKE_CASE__=0.1    ,						SCREAMING_SNAKE_CASE__=0.1    ,						SCREAMING_SNAKE_CASE__=512    ,						SCREAMING_SNAKE_CASE__=2    ,						SCREAMING_SNAKE_CASE__=0.02    ,						SCREAMING_SNAKE_CASE__=1e-12    ,						SCREAMING_SNAKE_CASE__=0    ,						SCREAMING_SNAKE_CASE__="absolute"    ,						SCREAMING_SNAKE_CASE__=None    ,						SCREAMING_SNAKE_CASE__=4    ,						SCREAMING_SNAKE_CASE__=1024    ,						**SCREAMING_SNAKE_CASE__    ,						)   ->					Union[str, Any]:
         super().__init__(pad_token_id=SCREAMING_SNAKE_CASE__    ,						**SCREAMING_SNAKE_CASE__		)

         lowerCamelCase__						=			vocab_size
         lowerCamelCase__						=			hidden_size
         lowerCamelCase__						=			num_hidden_layers
         lowerCamelCase__						=			num_attention_heads
         lowerCamelCase__						=			hidden_act
         lowerCamelCase__						=			intermediate_size
         lowerCamelCase__						=			hidden_dropout_prob
         lowerCamelCase__						=			attention_probs_dropout_prob
         lowerCamelCase__						=			max_position_embeddings
         lowerCamelCase__						=			type_vocab_size
         lowerCamelCase__						=			initializer_range
         lowerCamelCase__						=			layer_norm_eps
         lowerCamelCase__						=			position_embedding_type
         lowerCamelCase__						=			classifier_dropout
         lowerCamelCase__						=			channel_shrink_ratio
         lowerCamelCase__						=			max_ad_position_embeddings







"""simple docstring"""




def 	UpperCAmelCase__   (				A__   )      ->      list[int]:




   """simple docstring"""

   if num <= 0:
      raise ValueError("Input must be a positive integer"   )

   lowerCamelCase__						=			[True] * (num + 1)

   lowerCamelCase__						=			2
   while p * p <= num:
      if primes[p]:
         for i in range(p * p	,    num + 1	,    A__   ):
            lowerCamelCase__						=			False
      p += 1

   return [prime for prime in range(2	,    num + 1   ) if primes[prime]]


if __name__ == "__main__":
     import doctest

     doctest.testmod()

     SCREAMING_SNAKE_CASE_     :			Optional[Any]	  =			int(input('''Enter a positive integer: ''').strip())
     print(prime_sieve_eratosthenes(user_num))




