





from collections import OrderedDict
from typing import Mapping

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


lowercase :			str     		=    logging.get_logger(__name__)

lowercase :			List[Any]     		=    {
    """google/bigbird-roberta-base""": """https://huggingface.co/google/bigbird-roberta-base/resolve/main/config.json""",
    """google/bigbird-roberta-large""": """https://huggingface.co/google/bigbird-roberta-large/resolve/main/config.json""",
    """google/bigbird-base-trivia-itc""": """https://huggingface.co/google/bigbird-base-trivia-itc/resolve/main/config.json""",
    # See all BigBird models at https://huggingface.co/models?filter=big_bird
}





class 					A__       (				A_      ):




   """simple docstring"""



   __A  :							List[str]			    =    '''big_bird'''

   def __init__(   self   ,    lowercase=5_0358   ,    lowercase=768   ,    lowercase=12   ,    lowercase=12   ,    lowercase=3072   ,    lowercase="gelu_new"   ,    lowercase=0.1   ,    lowercase=0.1   ,    lowercase=4096   ,    lowercase=2   ,    lowercase=0.02   ,    lowercase=1e-12   ,    lowercase=True   ,    lowercase=0   ,    lowercase=1   ,    lowercase=2   ,    lowercase=66   ,    lowercase="block_sparse"   ,    lowercase=True   ,    lowercase=False   ,    lowercase=64   ,    lowercase=3   ,    lowercase=None   ,    **lowercase   ,    )     ->		Union[str, Any]:







          '''simple docstring'''

          super().__init__(
              pad_token_id=lowercase   ,    bos_token_id=lowercase   ,    eos_token_id=lowercase   ,    sep_token_id=lowercase   ,    **lowercase   ,    )

          a__		:      Optional[Any]					=							vocab_size
          a__		:      Dict					=							max_position_embeddings
          a__		:      int					=							hidden_size
          a__		:      Any					=							num_hidden_layers
          a__		:      Optional[int]					=							num_attention_heads
          a__		:      int					=							intermediate_size
          a__		:      int					=							hidden_act
          a__		:      Union[str, Any]					=							hidden_dropout_prob
          a__		:      Optional[Any]					=							attention_probs_dropout_prob
          a__		:      str					=							initializer_range
          a__		:      Optional[int]					=							type_vocab_size
          a__		:      Optional[int]					=							layer_norm_eps
          a__		:      Optional[Any]					=							use_cache

          a__		:      Any					=							rescale_embeddings
          a__		:      Optional[int]					=							attention_type
          a__		:      Optional[int]					=							use_bias
          a__		:      List[Any]					=							block_size
          a__		:      str					=							num_random_blocks
          a__		:      Any					=							classifier_dropout





class 					A__       (				A_      ):




   """simple docstring"""



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







          '''simple docstring'''

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






"""simple docstring"""
from math import isqrt, loga

def 				_snake_case      (   __snake_case							:      int   ):




   """simple docstring"""







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

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

def 				_snake_case      (   __snake_case							:      int = 800800						, __snake_case							:      int = 800800   ):




   """simple docstring"""







   _lowerCamelCase	:					Union[str, Any]   =		degree * loga(__snake_case   )
   _lowerCamelCase	:					Union[str, Any]   =		int(__snake_case   )
   _lowerCamelCase	:					Dict   =		calculate_prime_numbers(__snake_case   )

   _lowerCamelCase	:					Optional[int]   =		0
   _lowerCamelCase	:					Any   =		0
   _lowerCamelCase	:					Any   =		len(__snake_case   ) - 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() = }''')

