






"""simple docstring"""






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


UpperCAmelCase_     :				List[str]         =				logging.get_logger(__name__)

UpperCAmelCase_     :				Tuple         =				{
    """unc-nlp/lxmert-base-uncased""": """https://huggingface.co/unc-nlp/lxmert-base-uncased/resolve/main/config.json""",
}




class 							lowerCAmelCase__       (    UpperCAmelCase__				):






      '''simple docstring'''

      __UpperCamelCase							=						"lxmert"
      __UpperCamelCase							=						{}
      def __init__(		self  :						List[Any]		,			lowercase_  :						List[str]=30522		,			lowercase_  :						Dict=768		,			lowercase_  :						Optional[Any]=12		,			lowercase_  :						Any=9500		,			lowercase_  :						Any=1600		,			lowercase_  :						Optional[Any]=400		,			lowercase_  :						Dict=3072		,			lowercase_  :						str="gelu"		,			lowercase_  :						str=0.1		,			lowercase_  :						List[str]=0.1		,			lowercase_  :						Tuple=512		,			lowercase_  :						List[Any]=2		,			lowercase_  :						Optional[int]=0.02		,			lowercase_  :						str=1e-12		,			lowercase_  :						Optional[Any]=9		,			lowercase_  :						Optional[Any]=5		,			lowercase_  :						List[str]=5		,			lowercase_  :						Tuple=2048		,			lowercase_  :						Tuple=4		,			lowercase_  :						int=6.67		,			lowercase_  :						Dict=True		,			lowercase_  :						Optional[int]=True		,			lowercase_  :						int=True		,			lowercase_  :						Any=True		,			lowercase_  :						int=True		,			lowercase_  :						Dict=True		,			lowercase_  :						Optional[Any]=True		,			**lowercase_  :						Tuple		,			):




          '''simple docstring'''


          SCREAMING_SNAKE_CASE_   :						List[Any]							=	vocab_size
          SCREAMING_SNAKE_CASE_   :						str							=	hidden_size
          SCREAMING_SNAKE_CASE_   :						str							=	num_attention_heads
          SCREAMING_SNAKE_CASE_   :						Optional[Any]							=	hidden_act
          SCREAMING_SNAKE_CASE_   :						Tuple							=	intermediate_size
          SCREAMING_SNAKE_CASE_   :						Optional[Any]							=	hidden_dropout_prob
          SCREAMING_SNAKE_CASE_   :						Optional[int]							=	attention_probs_dropout_prob
          SCREAMING_SNAKE_CASE_   :						Optional[Any]							=	max_position_embeddings
          SCREAMING_SNAKE_CASE_   :						Tuple							=	type_vocab_size
          SCREAMING_SNAKE_CASE_   :						str							=	initializer_range
          SCREAMING_SNAKE_CASE_   :						Any							=	layer_norm_eps
          SCREAMING_SNAKE_CASE_   :						Union[str, Any]							=	num_qa_labels
          SCREAMING_SNAKE_CASE_   :						List[Any]							=	num_object_labels
          SCREAMING_SNAKE_CASE_   :						List[str]							=	num_attr_labels
          SCREAMING_SNAKE_CASE_   :						Union[str, Any]							=	l_layers
          SCREAMING_SNAKE_CASE_   :						List[Any]							=	x_layers
          SCREAMING_SNAKE_CASE_   :						Dict							=	r_layers
          SCREAMING_SNAKE_CASE_   :						List[Any]							=	visual_feat_dim
          SCREAMING_SNAKE_CASE_   :						Union[str, Any]							=	visual_pos_dim
          SCREAMING_SNAKE_CASE_   :						str							=	visual_loss_normalizer
          SCREAMING_SNAKE_CASE_   :						List[Any]							=	task_matched
          SCREAMING_SNAKE_CASE_   :						Union[str, Any]							=	task_mask_lm
          SCREAMING_SNAKE_CASE_   :						Any							=	task_obj_predict
          SCREAMING_SNAKE_CASE_   :						Union[str, Any]							=	task_qa
          SCREAMING_SNAKE_CASE_   :						Tuple							=	visual_obj_loss
          SCREAMING_SNAKE_CASE_   :						List[Any]							=	visual_attr_loss
          SCREAMING_SNAKE_CASE_   :						int							=	visual_feat_loss
          SCREAMING_SNAKE_CASE_   :						Tuple							=	{'''vision''': r_layers, '''cross_encoder''': x_layers, '''language''': l_layers}
          super().__init__(**lowercase_)










"""simple docstring"""






from math import isqrt



def       _A    (__a							)				-> list[int]:
    """simple docstring"""






    SCREAMING_SNAKE_CASE_   :						Optional[Any]							=	[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							):
                SCREAMING_SNAKE_CASE_   :						Tuple							=	False

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



def       _A    (__a = 10**8							)				-> int:
    """simple docstring"""






    SCREAMING_SNAKE_CASE_   :						Any							=	calculate_prime_numbers(max_number // 2							)

    SCREAMING_SNAKE_CASE_   :						List[str]							=	0
    SCREAMING_SNAKE_CASE_   :						Any							=	0
    SCREAMING_SNAKE_CASE_   :						List[str]							=	len(__a							) - 1
    while left <= right:
        while prime_numbers[left] * prime_numbers[right] >= max_number:
            right -= 1
        semiprimes_count += right - left + 1
        left += 1

    return semiprimes_count


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


