

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        A_		(       SCREAMING_SNAKE_CASE				):
							_UpperCAmelCase    :  int						      =      '''swin2sr'''

							_UpperCAmelCase    :  Dict						      =      {
							    '''hidden_size''': '''embed_dim''',
							    '''num_attention_heads''': '''num_heads''',
							    '''num_hidden_layers''': '''num_layers''',
							}
							def __init__(		self		:			Tuple   ,SCREAMING_SNAKE_CASE__		:			Union[str, Any]=6_4   ,SCREAMING_SNAKE_CASE__		:			Union[str, Any]=1   ,SCREAMING_SNAKE_CASE__		:			Optional[Any]=3   ,SCREAMING_SNAKE_CASE__		:			Union[str, Any]=1_8_0   ,SCREAMING_SNAKE_CASE__		:			Tuple=[6, 6, 6, 6, 6, 6]   ,SCREAMING_SNAKE_CASE__		:			Tuple=[6, 6, 6, 6, 6, 6]   ,SCREAMING_SNAKE_CASE__		:			Optional[Any]=8   ,SCREAMING_SNAKE_CASE__		:			Any=2.0   ,SCREAMING_SNAKE_CASE__		:			str=True   ,SCREAMING_SNAKE_CASE__		:			Union[str, Any]=0.0   ,SCREAMING_SNAKE_CASE__		:			Optional[Any]=0.0   ,SCREAMING_SNAKE_CASE__		:			Tuple=0.1   ,SCREAMING_SNAKE_CASE__		:			Any="gelu"   ,SCREAMING_SNAKE_CASE__		:			Dict=False   ,SCREAMING_SNAKE_CASE__		:			Dict=0.02   ,SCREAMING_SNAKE_CASE__		:			Any=1E-5   ,SCREAMING_SNAKE_CASE__		:			Dict=2   ,SCREAMING_SNAKE_CASE__		:			Union[str, Any]=1.0   ,SCREAMING_SNAKE_CASE__		:			str="1conv"   ,SCREAMING_SNAKE_CASE__		:			List[str]="pixelshuffle"   ,**SCREAMING_SNAKE_CASE__		:			Any   ,):
								super().__init__(**SCREAMING_SNAKE_CASE__)

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











from __future__ import annotations

from collections.abc import Callable





def 						__SCREAMING_SNAKE_CASE  (				UpperCamelCase__			,			UpperCamelCase__			,			UpperCamelCase__			,			UpperCamelCase__ = 100			,			)  ->				float:







			'''simple docstring'''

			UpperCAmelCase   		=				x_start
			UpperCAmelCase   		=				fnc(UpperCamelCase__ )
			UpperCAmelCase   		=				0.0
			for _ in range(UpperCamelCase__ ):
						# Approximates small segments of curve as linear and solve
						# for trapezoidal area
						UpperCAmelCase   		=				(x_end - x_start) / steps + xa
						UpperCAmelCase   		=				fnc(UpperCamelCase__ )
						area += abs(fxa + fxa ) * (xa - xa) / 2
						# Increment step
						UpperCAmelCase   		=				xa
						UpperCAmelCase   		=				fxa
			return area


if __name__ == "__main__":





				def 						__SCREAMING_SNAKE_CASE  (				UpperCamelCase__ )  ->				str:







							'''simple docstring'''

							return x**3 + x**2

				print("f(x) = x^3 + x^2")
				print("The area between the curve, x = -5, x = 5 and the x axis is:")
				__A				:    List[Any]       =   10
				while i <= 100_000:
								print(F'with {i} steps: {trapezoidal_area(f, -5, 5, i)}')
								i *= 10



