



"""simple docstring"""







UpperCAmelCase:  Tuple			     =				1_000


def  __SCREAMING_SNAKE_CASE (  __UpperCAmelCase      ):
		return x * x


def  __SCREAMING_SNAKE_CASE (  __UpperCAmelCase   ,				__UpperCAmelCase   ,				__UpperCAmelCase   ,				__UpperCAmelCase = 4      ):
		assert callable(
		    snake_case_      ), F"""the function(object) passed should be callable your input : {function}"""
		assert isinstance(snake_case_   ,				(float, int)      ), F"""a should be float or integer your input : {a}"""
		assert isinstance(function(snake_case_      )   ,				(float, int)      ), (
		    "the function should return integer or float return type of your function, "
		    F"""{type(snake_case_      )}"""
		)
		assert isinstance(snake_case_   ,				(float, int)      ), F"""b should be float or integer your input : {b}"""
		assert (
		    isinstance(snake_case_   ,				snake_case_      ) and precision > 0
		), F"""precision should be positive integer your input : {precision}"""

		# just applying the formula of simpson for approximate integration written in
		# mentioned article in first comment of this file and above this function

		_lowercase				: Any     =   (b - a) / N_STEPS
		_lowercase				: List[Any]     =   function(snake_case_      ) + function(snake_case_      )

		for i in range(1   ,				snake_case_      ):
				_lowercase				: List[str]     =   a + h * i
				result += function(snake_case_      ) * (4 if i % 2 else 2)

		result *= h / 3
		return round(snake_case_   ,				snake_case_      )


if __name__ == "__main__":
		import doctest

		doctest.testmod()








'''simple docstring'''






import warnings

from .generation import GenerationMixin

class 	_lowerCAmelCase     (    __A       ):






		'''simple docstring'''
		# warning at import time
		warnings.warn(
		    'Importing `GenerationMixin` from `src/transformers/generation_utils.py` is deprecated and will '
		    'be removed in Transformers v5. Import as `from transformers import GenerationMixin` instead.'     ,		__A     ,		)



