




'''simple docstring'''



def 			_UpperCamelCase (_lowerCamelCase							:     int   ,	_lowerCamelCase							:     Dict	)->   str:




     '''simple docstring'''





     __snake_case    					=  (boundary[1] - boundary[0]) / steps
     __snake_case    					=  boundary[0]
     __snake_case    					=  boundary[1]
     __snake_case    					=  make_points(_lowerCamelCase   ,	_lowerCamelCase   ,	_lowerCamelCase	)
     __snake_case    					=  0.0
     y += (h / 3.0) * f(_lowerCamelCase	)
     __snake_case    					=  2
     for i in x_i:
          y += (h / 3) * (4 - 2 * (cnt % 2)) * f(_lowerCamelCase	)
          cnt += 1
     y += (h / 3.0) * f(_lowerCamelCase	)
     return y







def 			_UpperCamelCase (_lowerCamelCase							:     List[str]   ,	_lowerCamelCase							:     List[Any]   ,	_lowerCamelCase							:     List[Any]	)->   List[Any]:




     '''simple docstring'''





     __snake_case    					=  a + h
     while x < (b - h):
          yield x
          __snake_case    					=  x + h







def 			_UpperCamelCase (_lowerCamelCase							:     Optional[Any]	)->   str:  # enter your function here




     '''simple docstring'''





     __snake_case    					=  (x - 0) * (x - 0)
     return y







def 			_UpperCamelCase ()->   Optional[Any]:




     '''simple docstring'''





     __snake_case    					=  0.0  # Lower bound of integration
     __snake_case    					=  1.0  # Upper bound of integration
     __snake_case    					=  10.0  # define number of steps or resolution
     __snake_case    					=  [a, b]  # define boundary of integration
     __snake_case    					=  method_a(_lowerCamelCase   ,	_lowerCamelCase	)
     print(f'''y = {y}'''	)


if __name__ == "__main__":
     main()












'''simple docstring'''



import warnings

from ...utils import logging
from .image_processing_maskformer import MaskFormerImageProcessor


UpperCAmelCase_       :  int      =		logging.get_logger(__name__)





class     lowerCAmelCase   ( __lowerCAmelCase):


       def __init__(   self    ,  *__SCREAMING_SNAKE_CASE    ,  **__SCREAMING_SNAKE_CASE  )      ->  None:



            '''simple docstring'''




            warnings.warn(
                '''The class MaskFormerFeatureExtractor is deprecated and will be removed in version 5 of Transformers.'''
                ''' Please use MaskFormerImageProcessor instead.'''    ,  __SCREAMING_SNAKE_CASE    ,  )
            super().__init__(*__SCREAMING_SNAKE_CASE    ,  **__SCREAMING_SNAKE_CASE  )






