



"""simple docstring"""






from __future__ import annotations

import math






def        snake_case_  (      A_					:		float,				A_					:		int						):


       '''simple docstring'''





       _lowerCamelCase						:				Tuple    			= u
       for i in range(1,				A_						):
              _lowerCamelCase						:				int    			= temp * (u - i)
       return temp






def        snake_case_  (      ):


       '''simple docstring'''





       _lowerCamelCase						:				Tuple    			= int(input('''enter the numbers of values: '''						)						)
       _lowerCamelCase						:				list[list[float]]    			= []
       for _ in range(A_						):
              y.append([]						)
       for i in range(A_						):
              for j in range(A_						):
                     y[i].append(A_						)
                     _lowerCamelCase						:				Optional[int]    			= 0

       print('''enter the values of parameters in a list: '''						)
       _lowerCamelCase						:				Optional[int]    			= list(map(A_,				input().split()						)						)

       print('''enter the values of corresponding parameters: '''						)
       for i in range(A_						):
              _lowerCamelCase						:				Dict    			= float(input()						)

       _lowerCamelCase						:				Tuple    			= int(input('''enter the value to interpolate: '''						)						)
       _lowerCamelCase						:				List[Any]    			= (value - x[0]) / (x[1] - x[0])

       # for calculating forward difference table

       for i in range(1,				A_						):
              for j in range(n - i						):
                     _lowerCamelCase						:				Optional[Any]    			= y[j + 1][i - 1] - y[j][i - 1]

       _lowerCamelCase						:				Any    			= 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()










from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


__UpperCAmelCase								=						{'configuration_vit_msn': ['VIT_MSN_PRETRAINED_CONFIG_ARCHIVE_MAP', 'ViTMSNConfig']}

try:
		if not is_torch_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		__UpperCAmelCase								=						[
		    'VIT_MSN_PRETRAINED_MODEL_ARCHIVE_LIST',
		    'ViTMSNModel',
		    'ViTMSNForImageClassification',
		    'ViTMSNPreTrainedModel',
		]

if TYPE_CHECKING:
		from .configuration_vit_msn import VIT_MSN_PRETRAINED_CONFIG_ARCHIVE_MAP, ViTMSNConfig

		try:
				if not is_torch_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_vit_msn import (
				    VIT_MSN_PRETRAINED_MODEL_ARCHIVE_LIST,
				    ViTMSNForImageClassification,
				    ViTMSNModel,
				    ViTMSNPreTrainedModel,
				)

else:
		import sys

		__UpperCAmelCase								=						_LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)






