



"""simple docstring"""


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


__A   :							Dict										=   logging.get_logger(__name__)

__A   :							int										=   {
    'caidas/swin2sr-classicalsr-x2-64': (
        'https://huggingface.co/caidas/swin2sr-classicalsr-x2-64/resolve/main/config.json'
    ),
}
class 			_a (					SCREAMING_SNAKE_CASE_):
			"""simple docstring"""
			UpperCamelCase__			      =	"""swin2sr"""

			UpperCamelCase__			      =	{
			    """hidden_size""": """embed_dim""",
			    """num_attention_heads""": """num_heads""",
			    """num_hidden_layers""": """num_layers""",
			}



			def __init__(		self     :    List[str]				,   __UpperCamelCase     :    List[Any]=6_4				,   __UpperCamelCase     :    Optional[int]=1				,   __UpperCamelCase     :    Tuple=3				,   __UpperCamelCase     :    Union[str, Any]=1_8_0				,   __UpperCamelCase     :    Optional[Any]=[6, 6, 6, 6, 6, 6]				,   __UpperCamelCase     :    Tuple=[6, 6, 6, 6, 6, 6]				,   __UpperCamelCase     :    Optional[int]=8				,   __UpperCamelCase     :    Any=2.0				,   __UpperCamelCase     :    Optional[int]=True				,   __UpperCamelCase     :    Tuple=0.0				,   __UpperCamelCase     :    List[str]=0.0				,   __UpperCamelCase     :    Union[str, Any]=0.1				,   __UpperCamelCase     :    Dict="gelu"				,   __UpperCamelCase     :    Optional[int]=False				,   __UpperCamelCase     :    Union[str, Any]=0.0_2				,   __UpperCamelCase     :    Optional[Any]=1e-5				,   __UpperCamelCase     :    List[Any]=2				,   __UpperCamelCase     :    Tuple=1.0				,   __UpperCamelCase     :    Optional[Any]="1conv"				,   __UpperCamelCase     :    List[str]="pixelshuffle"				,   **__UpperCamelCase     :    int				,   )->List[Any]:
							super().__init__(**UpperCamelCase__   )

							_UpperCAmelCase					=    image_size
							_UpperCAmelCase					=    patch_size
							_UpperCAmelCase					=    num_channels
							_UpperCAmelCase					=    embed_dim
							_UpperCAmelCase					=    depths
							_UpperCAmelCase					=    len(UpperCamelCase__   )
							_UpperCAmelCase					=    num_heads
							_UpperCAmelCase					=    window_size
							_UpperCAmelCase					=    mlp_ratio
							_UpperCAmelCase					=    qkv_bias
							_UpperCAmelCase					=    hidden_dropout_prob
							_UpperCAmelCase					=    attention_probs_dropout_prob
							_UpperCAmelCase					=    drop_path_rate
							_UpperCAmelCase					=    hidden_act
							_UpperCAmelCase					=    use_absolute_embeddings
							_UpperCAmelCase					=    layer_norm_eps
							_UpperCAmelCase					=    initializer_range
							_UpperCAmelCase					=    upscale
							_UpperCAmelCase					=    img_range
							_UpperCAmelCase					=    resi_connection
							_UpperCAmelCase					=    upsampler








"""simple docstring"""


from collections.abc import Callable
from math import pi, sqrt
from random import uniform
from statistics import mean







def  lowercase	(      _SCREAMING_SNAKE_CASE   :						int				):






				'''simple docstring'''



				def is_in_circle(_SCREAMING_SNAKE_CASE   :						float					,     _SCREAMING_SNAKE_CASE   :						float				) -> bool:
								_UpperCAmelCase					=    sqrt((x**2) + (y**2)				)
								# Our circle has a radius of 1, so a distance
								# greater than 1 would land outside the circle.
								return distance_from_centre <= 1

				# The proportion of guesses that landed in the circle
				_UpperCAmelCase					=    mean(
				    int(is_in_circle(uniform(-1.0					,     1.0				)					,     uniform(-1.0					,     1.0				)				)				)
				    for _ in range(_SCREAMING_SNAKE_CASE				)				)
				# The ratio of the area for circle to square is pi/4.
				_UpperCAmelCase					=    proportion * 4
				print(f'The estimated value of pi is {pi_estimate}'				)
				print(f'The numpy value of pi is {pi}'				)
				print(f'The total error is {abs(pi - pi_estimate				)}'				)







def  lowercase	(      _SCREAMING_SNAKE_CASE   :						int					,     _SCREAMING_SNAKE_CASE   :						Callable[[float], float]					,     _SCREAMING_SNAKE_CASE   :						float = 0.0					,     _SCREAMING_SNAKE_CASE   :						float = 1.0					,     ):






				'''simple docstring'''



				return mean(
				    function_to_integrate(uniform(_SCREAMING_SNAKE_CASE					,     _SCREAMING_SNAKE_CASE				)				) for _ in range(_SCREAMING_SNAKE_CASE				)				) * (max_value - min_value)







def  lowercase	(      _SCREAMING_SNAKE_CASE   :						int					,     _SCREAMING_SNAKE_CASE   :						float = 0.0					,     _SCREAMING_SNAKE_CASE   :						float = 1.0				):






				'''simple docstring'''



				def identity_function(_SCREAMING_SNAKE_CASE   :						float				) -> float:
								return x

				_UpperCAmelCase					=    area_under_curve_estimator(
				    _SCREAMING_SNAKE_CASE					,     _SCREAMING_SNAKE_CASE					,     _SCREAMING_SNAKE_CASE					,     _SCREAMING_SNAKE_CASE				)
				_UpperCAmelCase					=    (max_value * max_value - min_value * min_value) / 2

				print('''******************'''				)
				print(f'Estimating area under y=x where x varies from {min_value} to {max_value}'				)
				print(f'Estimated value is {estimated_value}'				)
				print(f'Expected value is {expected_value}'				)
				print(f'Total error is {abs(estimated_value - expected_value				)}'				)
				print('''******************'''				)







def  lowercase	(      _SCREAMING_SNAKE_CASE   :						int				):






				'''simple docstring'''



				def function_to_integrate(_SCREAMING_SNAKE_CASE   :						float				) -> float:
								return sqrt(4.0 - x * x				)

				_UpperCAmelCase					=    area_under_curve_estimator(
				    _SCREAMING_SNAKE_CASE					,     _SCREAMING_SNAKE_CASE					,     0.0					,     2.0				)

				print('''******************'''				)
				print('''Estimating pi using area_under_curve_estimator'''				)
				print(f'Estimated value is {estimated_value}'				)
				print(f'Expected value is {pi}'				)
				print(f'Total error is {abs(estimated_value - pi				)}'				)
				print('''******************'''				)


if __name__ == "__main__":
					import doctest

					doctest.testmod()



