

from collections import OrderedDict
from typing import Mapping

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


UpperCamelCase__		 =     logging.get_logger(__name__)

UpperCamelCase__		 =     {
    '''andreasmadsen/efficient_mlm_m0.40''': (
        '''https://huggingface.co/andreasmadsen/efficient_mlm_m0.40/resolve/main/config.json'''
    ),
}

class     __snake_case    (				snake_case__  ):
       """simple docstring"""







       __SCREAMING_SNAKE_CASE				    =							"roberta-prelayernorm"


       def __init__(		self      , _UpperCamelCase=5_02_65      , _UpperCamelCase=7_68      , _UpperCamelCase=12      , _UpperCamelCase=12      , _UpperCamelCase=30_72      , _UpperCamelCase="gelu"      , _UpperCamelCase=0.1      , _UpperCamelCase=0.1      , _UpperCamelCase=5_12      , _UpperCamelCase=2      , _UpperCamelCase=0.02      , _UpperCamelCase=1E-12      , _UpperCamelCase=1      , _UpperCamelCase=0      , _UpperCamelCase=2      , _UpperCamelCase="absolute"      , _UpperCamelCase=True      , _UpperCamelCase=None      , **_UpperCamelCase      , )      ->							Tuple:






              """simple docstring"""


              super().__init__(pad_token_id=_UpperCamelCase      , bos_token_id=_UpperCamelCase      , eos_token_id=_UpperCamelCase      , **_UpperCamelCase   )

              __snake_case       	=							vocab_size
              __snake_case       	=							hidden_size
              __snake_case       	=							num_hidden_layers
              __snake_case       	=							num_attention_heads
              __snake_case       	=							hidden_act
              __snake_case       	=							intermediate_size
              __snake_case       	=							hidden_dropout_prob
              __snake_case       	=							attention_probs_dropout_prob
              __snake_case       	=							max_position_embeddings
              __snake_case       	=							type_vocab_size
              __snake_case       	=							initializer_range
              __snake_case       	=							layer_norm_eps
              __snake_case       	=							position_embedding_type
              __snake_case       	=							use_cache
              __snake_case       	=							classifier_dropout






class     __snake_case    (				snake_case__  ):
       """simple docstring"""







       @property
       def 			a		(		self   )      ->							Mapping[str, Mapping[int, str]]:






              """simple docstring"""


              if self.task == "multiple-choice":
                     __snake_case       	=							{0: """batch""", 1: """choice""", 2: """sequence"""}
              else:
                     __snake_case       	=							{0: """batch""", 1: """sequence"""}
              return OrderedDict(
                  [
                      ("""input_ids""", dynamic_axis),
                      ("""attention_mask""", dynamic_axis),
                  ]   )




from math import isqrt, loga







def 						lowerCamelCase__      ( __A    :int		):


       """simple docstring"""




       __snake_case       	=							[True] * max_number
       for i in range(2	,isqrt(max_number - 1		) + 1		):
              if is_prime[i]:
                     for j in range(i**2	,__A	,__A		):
                            __snake_case       	=							False

       return [i for i in range(2	,__A		) if is_prime[i]]







def 						lowerCamelCase__      ( __A    :int = 8_0_0_8_0_0	,__A    :int = 8_0_0_8_0_0		):


       """simple docstring"""




       __snake_case       	=							degree * loga(__A		)
       __snake_case       	=							int(__A		)
       __snake_case       	=							calculate_prime_numbers(__A		)

       __snake_case       	=							0
       __snake_case       	=							0
       __snake_case       	=							len(__A		) - 1
       while left < right:
              while (
                  prime_numbers[right] * loga(prime_numbers[left]		)
                  + prime_numbers[left] * loga(prime_numbers[right]		)
                  > upper_bound
              ):
                     right -= 1
              hybrid_integers_count += right - left
              left += 1

       return hybrid_integers_count


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

