





"""simple docstring"""



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







def 						__lowercase	(  snake_case_    :    int		)  ->Optional[Any]:



    '''simple docstring'''







    def is_in_circle(snake_case_    :    float							,snake_case_    :    float		) -> bool:
        __A       :		List[Any]							=	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
    __A       :		Union[str, Any]							=	mean(
        int(is_in_circle(uniform(-1.0							,1.0		)							,uniform(-1.0							,1.0		)		)		)
        for _ in range(snake_case_		)		)
    # The ratio of the area for circle to square is pi/4.
    __A       :		Tuple							=	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	(  snake_case_    :    int							,snake_case_    :    Callable[[float], float]							,snake_case_    :    float = 0.0							,snake_case_    :    float = 1.0							,)  ->float:



    '''simple docstring'''







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







def 						__lowercase	(  snake_case_    :    int							,snake_case_    :    float = 0.0							,snake_case_    :    float = 1.0		)  ->None:



    '''simple docstring'''







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

    __A       :		Union[str, Any]							=	area_under_curve_estimator(
        snake_case_							,snake_case_							,snake_case_							,snake_case_		)
    __A       :		List[Any]							=	(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	(  snake_case_    :    int		)  ->None:



    '''simple docstring'''







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

    __A       :		str							=	area_under_curve_estimator(
        snake_case_							,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()











"""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


a_					=     logging.get_logger(__name__)

a_					=     {
    """sail/poolformer_s12""": """https://huggingface.co/sail/poolformer_s12/resolve/main/config.json""",
    # See all PoolFormer models at https://huggingface.co/models?filter=poolformer
}






class 						__snake_case   (						SCREAMING_SNAKE_CASE__	):





 """simple docstring"""


 _lowerCamelCase								=	"""poolformer"""

 def __init__(       self   ,		__lowerCamelCase=3   ,		__lowerCamelCase=16   ,		__lowerCamelCase=16   ,		__lowerCamelCase=3   ,		__lowerCamelCase=4.0   ,		__lowerCamelCase=[2, 2, 6, 2]   ,		__lowerCamelCase=[64, 128, 320, 512]   ,		__lowerCamelCase=[7, 3, 3, 3]   ,		__lowerCamelCase=[4, 2, 2, 2]   ,		__lowerCamelCase=[2, 1, 1, 1]   ,		__lowerCamelCase=4   ,		__lowerCamelCase=0.0   ,		__lowerCamelCase="gelu"   ,		__lowerCamelCase=True   ,		__lowerCamelCase=1e-5   ,		__lowerCamelCase=0.0_2   ,		**__lowerCamelCase   ,		):



     '''simple docstring'''




     __A       :		str							=	num_channels
     __A       :		List[str]							=	patch_size
     __A       :		str							=	stride
     __A       :		Any							=	padding
     __A       :		Any							=	pool_size
     __A       :		Dict							=	hidden_sizes
     __A       :		Optional[Any]							=	mlp_ratio
     __A       :		Any							=	depths
     __A       :		List[str]							=	patch_sizes
     __A       :		Union[str, Any]							=	strides
     __A       :		List[str]							=	num_encoder_blocks
     __A       :		Optional[int]							=	drop_path_rate
     __A       :		Union[str, Any]							=	hidden_act
     __A       :		Optional[Any]							=	use_layer_scale
     __A       :		List[Any]							=	layer_scale_init_value
     __A       :		List[Any]							=	initializer_range
     super().__init__(**__lowerCamelCase    )






class 						__snake_case   (						SCREAMING_SNAKE_CASE__	):





 """simple docstring"""


 _lowerCamelCase								=	version.parse("""1.11"""	)

 @property
 def    UpperCamelCase__(       self    ):



     '''simple docstring'''




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







 @property
 def    UpperCamelCase__(       self    ):



     '''simple docstring'''




     return 2e-3




