






'''simple docstring'''



from collections import OrderedDict
from typing import Mapping

from packaging import version

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


__UpperCamelCase   :							Tuple         =   logging.get_logger(__name__)

__UpperCamelCase   :							int         =   {
    """hustvl/yolos-small""": """https://huggingface.co/hustvl/yolos-small/resolve/main/config.json""",
    # See all YOLOS models at https://huggingface.co/models?filter=yolos
}
class 				__SCREAMING_SNAKE_CASE							(				_lowerCAmelCase  ):
      __a	       ="yolos"




      def __init__(	self			, lowerCamelCase=768			, lowerCamelCase=12			, lowerCamelCase=12			, lowerCamelCase=3072			, lowerCamelCase="gelu"			, lowerCamelCase=0.0			, lowerCamelCase=0.0			, lowerCamelCase=0.02			, lowerCamelCase=1e-12			, lowerCamelCase=[512, 864]			, lowerCamelCase=16			, lowerCamelCase=3			, lowerCamelCase=True			, lowerCamelCase=100			, lowerCamelCase=True			, lowerCamelCase=False			, lowerCamelCase=1			, lowerCamelCase=5			, lowerCamelCase=2			, lowerCamelCase=5			, lowerCamelCase=2			, lowerCamelCase=0.1			, **lowerCamelCase			, )				->List[Any]:



         '''simple docstring'''
         super().__init__(**lowerCamelCase   )

         __a					  =     hidden_size
         __a					  =     num_hidden_layers
         __a					  =     num_attention_heads
         __a					  =     intermediate_size
         __a					  =     hidden_act
         __a					  =     hidden_dropout_prob
         __a					  =     attention_probs_dropout_prob
         __a					  =     initializer_range
         __a					  =     layer_norm_eps
         __a					  =     image_size
         __a					  =     patch_size
         __a					  =     num_channels
         __a					  =     qkv_bias
         __a					  =     num_detection_tokens
         __a					  =     use_mid_position_embeddings
         __a					  =     auxiliary_loss
         # Hungarian matcher
         __a					  =     class_cost
         __a					  =     bbox_cost
         __a					  =     giou_cost
         # Loss coefficients
         __a					  =     bbox_loss_coefficient
         __a					  =     giou_loss_coefficient
         __a					  =     eos_coefficient







class 				__SCREAMING_SNAKE_CASE							(				_lowerCAmelCase  ):
      __a	       =version.parse("1.11"  )




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



         '''simple docstring'''
         return OrderedDict(
             [
                 ('pixel_values', {0: 'batch', 1: 'num_channels', 2: 'height', 3: 'width'}),
             ]   )




      @property
      def 			__UpperCamelCase				(	self   )				->float:



         '''simple docstring'''
         return 1e-4






      @property
      def 			__UpperCamelCase				(	self   )				->int:



         '''simple docstring'''
         return 12







'''simple docstring'''



from math import isqrt



def  __UpperCAmelCase						(					SCREAMING_SNAKE_CASE__:						int     )	->      bool:

   """simple docstring"""
   return all(number % divisor != 0 for divisor in range(2,       isqrt(SCREAMING_SNAKE_CASE__     ) + 1     )     )



def  __UpperCAmelCase						(					SCREAMING_SNAKE_CASE__:						int = 10**6     )	->      int:

   """simple docstring"""
   __a					  =     0
   __a					  =     1
   __a					  =     7
   while prime_candidate < max_prime:
      primes_count += is_prime(SCREAMING_SNAKE_CASE__     )

      cube_index += 1
      prime_candidate += 6 * cube_index

   return primes_count


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