





def    __lowercase   (      _SCREAMING_SNAKE_CASE ,						_SCREAMING_SNAKE_CASE	) ->   Union[str, Any]:


      '''simple docstring'''


      SCREAMING_SNAKE_CASE		=						(boundary[1] - boundary[0]) / steps
      SCREAMING_SNAKE_CASE		=						boundary[0]
      SCREAMING_SNAKE_CASE		=						boundary[1]
      SCREAMING_SNAKE_CASE		=						make_points(lowercase_ ,						lowercase_ ,						lowercase_	)
      SCREAMING_SNAKE_CASE		=						0.0
      y += (h / 2.0) * f(lowercase_	)
      for i in x_i:
            # print(i)
            y += h * f(lowercase_	)
      y += (h / 2.0) * f(lowercase_	)
      return y



def    __lowercase   (      _SCREAMING_SNAKE_CASE ,						_SCREAMING_SNAKE_CASE ,						_SCREAMING_SNAKE_CASE	) ->   Optional[int]:


      '''simple docstring'''


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



def    __lowercase   (      _SCREAMING_SNAKE_CASE	) ->   List[Any]:  # enter your function here


      '''simple docstring'''


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



def    __lowercase   (      ) ->   List[str]:


      '''simple docstring'''


      SCREAMING_SNAKE_CASE		=						0.0  # Lower bound of integration
      SCREAMING_SNAKE_CASE		=						1.0  # Upper bound of integration
      SCREAMING_SNAKE_CASE		=						10.0  # define number of steps or resolution
      SCREAMING_SNAKE_CASE		=						[a, b]  # define boundary of integration
      SCREAMING_SNAKE_CASE		=						method_a(lowercase_ ,						lowercase_	)
      print(F"""y = {y}"""	)


if __name__ == "__main__":
      main()





import warnings

from ...utils import logging
from .image_processing_donut import DonutImageProcessor


A_       : Union[str, Any]         =			logging.get_logger(__name__)



class     _a						(__magic_name__				):


					'''simple docstring'''






					def __init__( self    ,       *A__    ,       **A__			):
						warnings.warn(
						    """The class DonutFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please"""
						    """ use DonutImageProcessor instead."""    ,       A__    ,       )
						super().__init__(*A__    ,       **A__			)



