






import warnings

from ...utils import logging
from .image_processing_chinese_clip import ChineseCLIPImageProcessor


_a    :   Dict        =			logging.get_logger(__name__)







class 	_UpperCAmelCase  (  _A		):




						"""simple docstring"""



						def __init__(   self    ,	*_lowerCAmelCase    ,	**_lowerCAmelCase		):



										'''simple docstring'''
										warnings.warn(
										    "The class ChineseCLIPFeatureExtractor is deprecated and will be removed in version 5 of Transformers."
										    " Please use ChineseCLIPImageProcessor instead."    ,	_lowerCAmelCase    ,	)
										super().__init__(*_lowerCAmelCase    ,	**_lowerCAmelCase		)











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


def 				snake_case__							(							UpperCAmelCase							:  int       ):

    # A local function to see if a dot lands in the circle.
    def is_in_circle(UpperCAmelCase							:  float    ,			UpperCAmelCase							:  float       ) -> bool:
        lowerCAmelCase__   :Optional[int]      							=				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
    lowerCAmelCase__   :Union[str, Any]      							=				mean(
        int(is_in_circle(uniform(-1.0    ,			1.0       )    ,			uniform(-1.0    ,			1.0       )       )       )
        for _ in range(UpperCAmelCase       )       )
    # The ratio of the area for circle to square is pi/4.
    lowerCAmelCase__   :List[Any]      							=				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 				snake_case__							(							UpperCAmelCase							:  int    ,			UpperCAmelCase							:  Callable[[float], float]    ,			UpperCAmelCase							:  float = 0.0    ,			UpperCAmelCase							:  float = 1.0    ,			):
    return mean(
        function_to_integrate(uniform(UpperCAmelCase    ,			UpperCAmelCase       )       ) for _ in range(UpperCAmelCase       )       ) * (max_value - min_value)


def 				snake_case__							(							UpperCAmelCase							:  int    ,			UpperCAmelCase							:  float = 0.0    ,			UpperCAmelCase							:  float = 1.0       ):

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

    lowerCAmelCase__   :List[str]      							=				area_under_curve_estimator(
        UpperCAmelCase    ,			UpperCAmelCase    ,			UpperCAmelCase    ,			UpperCAmelCase       )
    lowerCAmelCase__   :Tuple      							=				(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 				snake_case__							(							UpperCAmelCase							:  int       ):

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

    lowerCAmelCase__   :int      							=				area_under_curve_estimator(
        UpperCAmelCase    ,			UpperCAmelCase    ,			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()



