





"""simple docstring"""






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


A 			=  logging.get_logger(__name__)

A 			=  {
    '''caidas/swin2sr-classicalsr-x2-64''': (
        '''https://huggingface.co/caidas/swin2sr-classicalsr-x2-64/resolve/main/config.json'''
    ),
}




class 				__lowercase			(			_UpperCamelCase							):







					'''simple docstring'''




					__lowerCAmelCase  =  '''swin2sr'''

					__lowerCAmelCase  =  {
					    '''hidden_size''': '''embed_dim''',
					    '''num_attention_heads''': '''num_heads''',
					    '''num_hidden_layers''': '''num_layers''',
					}







					def __init__(						self	,			_UpperCAmelCase=64	,			_UpperCAmelCase=1	,			_UpperCAmelCase=3	,			_UpperCAmelCase=180	,			_UpperCAmelCase=[6, 6, 6, 6, 6, 6]	,			_UpperCAmelCase=[6, 6, 6, 6, 6, 6]	,			_UpperCAmelCase=8	,			_UpperCAmelCase=2.0	,			_UpperCAmelCase=True	,			_UpperCAmelCase=0.0	,			_UpperCAmelCase=0.0	,			_UpperCAmelCase=0.1	,			_UpperCAmelCase="gelu"	,			_UpperCAmelCase=False	,			_UpperCAmelCase=0.0_2	,			_UpperCAmelCase=1e-5	,			_UpperCAmelCase=2	,			_UpperCAmelCase=1.0	,			_UpperCAmelCase="1conv"	,			_UpperCAmelCase="pixelshuffle"	,			**_UpperCAmelCase	,			):
									super().__init__(**_UpperCAmelCase     )

									__a :						List[Any]			       =  image_size
									__a :						int			       =  patch_size
									__a :						Optional[int]			       =  num_channels
									__a :						List[str]			       =  embed_dim
									__a :						List[str]			       =  depths
									__a :						Optional[int]			       =  len(_UpperCAmelCase     )
									__a :						Optional[Any]			       =  num_heads
									__a :						List[Any]			       =  window_size
									__a :						List[Any]			       =  mlp_ratio
									__a :						List[str]			       =  qkv_bias
									__a :						Dict			       =  hidden_dropout_prob
									__a :						Dict			       =  attention_probs_dropout_prob
									__a :						Optional[int]			       =  drop_path_rate
									__a :						str			       =  hidden_act
									__a :						Any			       =  use_absolute_embeddings
									__a :						Union[str, Any]			       =  layer_norm_eps
									__a :						Dict			       =  initializer_range
									__a :						Any			       =  upscale
									__a :						Union[str, Any]			       =  img_range
									__a :						int			       =  resi_connection
									__a :						Dict			       =  upsampler






"""simple docstring"""






from math import isqrt, loga

def     __A      (			a_						:int)		->		list[int]:
				__a :						int			       =  [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_):
																__a :						int			       =  False

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

def     __A      (			a_						:int = 80_08_00   ,       a_						:int = 80_08_00)		->		int:
				__a :						str			       =  degree * loga(a_)
				__a :						Tuple			       =  int(a_)
				__a :						int			       =  calculate_prime_numbers(a_)

				__a :						List[Any]			       =  0
				__a :						Optional[Any]			       =  0
				__a :						Dict			       =  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() = }')