
'''simple docstring'''





from __future__ import annotations

import math

def      A (       A_							:					float    ,							A_							:					int       ):
						snake_case       :     List[str] =    u
						for i in range(1    ,							A_       ):
												snake_case       :     Dict =    temp * (u - i)
						return temp

def      A (       ):
						snake_case       :     Union[str, Any] =    int(input('''enter the numbers of values: '''       )       )
						snake_case       :     list[list[float]] =    []
						for _ in range(A_       ):
												y.append([]       )
						for i in range(A_       ):
												for j in range(A_       ):
																		y[i].append(A_       )
																		snake_case       :     Union[str, Any] =    0

						print('''enter the values of parameters in a list: '''       )
						snake_case       :     List[str] =    list(map(A_    ,							input().split()       )       )

						print('''enter the values of corresponding parameters: '''       )
						for i in range(A_       ):
												snake_case       :     Union[str, Any] =    float(input()       )

						snake_case       :     str =    int(input('''enter the value to interpolate: '''       )       )
						snake_case       :     Optional[int] =    (value - x[0]) / (x[1] - x[0])

						# for calculating forward difference table

						for i in range(1    ,							A_       ):
												for j in range(n - i       ):
																		snake_case       :     List[str] =    y[j + 1][i - 1] - y[j][i - 1]

						snake_case       :     List[str] =    y[0][0]
						for i in range(1    ,							A_       ):
												summ += (ucal(A_    ,							A_       ) * y[0][i]) / math.factorial(A_       )

						print(F"""the value at {value} is {summ}"""       )


if __name__ == "__main__":
						main()



'''simple docstring'''





import warnings

from ...utils import logging
from .image_processing_layoutlmva import LayoutLMvaImageProcessor


UpperCAmelCase    					=   logging.get_logger(__name__)

class 						a   (				__magic_name__    ):




				def __init__(							self	:				Union[str, Any],    *SCREAMING_SNAKE_CASE_	:				Tuple,    **SCREAMING_SNAKE_CASE_	:				Tuple      ):
										warnings.warn(
										    '''The class LayoutLMv2FeatureExtractor is deprecated and will be removed in version 5 of Transformers.'''
										    ''' Please use LayoutLMv2ImageProcessor instead.''',    SCREAMING_SNAKE_CASE_,    )
										super().__init__(*SCREAMING_SNAKE_CASE_,    **SCREAMING_SNAKE_CASE_      )

