



"""simple docstring"""





class       lowercase__      :
							'''simple docstring'''







							def __init__(	self						,							snake_case    )      ->				None:
									_UpperCAmelCase							=		size
									_UpperCAmelCase							=		[0] * size
									_UpperCAmelCase							=		[0] * size






							@staticmethod
							def 							lowerCamelCase_ (	snake_case    )      ->				int:
									return index | (index + 1)






							@staticmethod
							def 							lowerCamelCase_ (	snake_case    )      ->				int:
									return (index & (index + 1)) - 1






							def 							lowerCamelCase_ (	self						,							snake_case						,							snake_case    )      ->				None:
									_UpperCAmelCase							=		value
									while index < self.size:
											_UpperCAmelCase							=		self.get_prev(lowerCAmelCase_    ) + 1
											if current_left_border == index:
													_UpperCAmelCase							=		value
											else:
													_UpperCAmelCase							=		max(lowerCAmelCase_						,							lowerCAmelCase_						,							lowerCAmelCase_    )
											_UpperCAmelCase							=		self.get_next(lowerCAmelCase_    )






							def 							lowerCamelCase_ (	self						,							snake_case						,							snake_case    )      ->				int:
									right -= 1  # Because of right is exclusive
									_UpperCAmelCase							=		0
									while left <= right:
											_UpperCAmelCase							=		self.get_prev(lowerCAmelCase_    )
											if left <= current_left:
													_UpperCAmelCase							=		max(lowerCAmelCase_						,							self.tree[right]    )
													_UpperCAmelCase							=		current_left
											else:
													_UpperCAmelCase							=		max(lowerCAmelCase_						,							self.arr[right]    )
													right -= 1
									return result


if __name__ == "__main__":
					import doctest

					doctest.testmod()










"""simple docstring"""
from ...configuration_utils import PretrainedConfig
from ...utils import logging


lowerCAmelCase__    						=			logging.get_logger(__name__)

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


class _lowerCAmelCase						(    __UpperCAmelCase       ):
						SCREAMING_SNAKE_CASE_:					Any 					=				'swin2sr'

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







						def __init__(    self   ,				lowerCAmelCase_=6_4   ,				lowerCAmelCase_=1   ,				lowerCAmelCase_=3   ,				lowerCAmelCase_=1_8_0   ,				lowerCAmelCase_=[6, 6, 6, 6, 6, 6]   ,				lowerCAmelCase_=[6, 6, 6, 6, 6, 6]   ,				lowerCAmelCase_=8   ,				lowerCAmelCase_=2.0   ,				lowerCAmelCase_=True   ,				lowerCAmelCase_=0.0   ,				lowerCAmelCase_=0.0   ,				lowerCAmelCase_=0.1   ,				lowerCAmelCase_="gelu"   ,				lowerCAmelCase_=False   ,				lowerCAmelCase_=0.02   ,				lowerCAmelCase_=1e-5   ,				lowerCAmelCase_=2   ,				lowerCAmelCase_=1.0   ,				lowerCAmelCase_="1conv"   ,				lowerCAmelCase_="pixelshuffle"   ,				**lowerCAmelCase_   ,				)		->							Dict:
										super().__init__(**lowerCAmelCase_							)

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

