


from ...processing_utils import ProcessorMixin
from ...tokenization_utils_base import BatchEncoding


class     lowercase__  (					__SCREAMING_SNAKE_CASE		):
  A__=  ['image_processor', 'tokenizer']
  A__=  'AutoImageProcessor'
  A__=  'AutoTokenizer'






  def __init__(					self      :					Union[str, Any]		,						_lowercase      :					Optional[int]		,						_lowercase      :					List[str] ):




         """simple docstring"""







         super().__init__(_lowercase		,						_lowercase )
         UpperCAmelCase__										=     self.image_processor






  def __call__(					self      :					Optional[Any]		,						_lowercase      :					Tuple=None		,						_lowercase      :					Dict=None		,						_lowercase      :					Union[str, Any]=None		,						**_lowercase      :					Dict ):




         """simple docstring"""







         if text is None and images is None:
                raise ValueError("You have to specify either text or images. Both cannot be none." )

         if text is not None:
                UpperCAmelCase__										=     self.tokenizer(_lowercase		,						return_tensors=_lowercase		,						**_lowercase )

         if images is not None:
                UpperCAmelCase__										=     self.image_processor(_lowercase		,						return_tensors=_lowercase		,						**_lowercase )

         if text is not None and images is not None:
                UpperCAmelCase__										=     image_features.pixel_values
                return encoding
         elif text is not None:
                return encoding
         else:
                return BatchEncoding(data=dict(**_lowercase )		,						tensor_type=_lowercase )






  def 			_UpperCAmelCase  (					self      :					Dict		,						*_lowercase      :					Optional[Any]		,						**_lowercase      :					List[str] ):




         """simple docstring"""







         return self.tokenizer.batch_decode(*_lowercase		,						**_lowercase )






  def 			_UpperCAmelCase  (					self      :					List[str]		,						*_lowercase      :					Optional[int]		,						**_lowercase      :					List[str] ):




         """simple docstring"""







         return self.tokenizer.decode(*_lowercase		,						**_lowercase )






  @property
  def 			_UpperCAmelCase  (					self      :					int ):




         """simple docstring"""







         return ["input_ids", "attention_mask", "pixel_values"]









from __future__ import annotations

import math





def __UpperCAmelCase       (		__A ,						__A			)						->					float:



       '''simple docstring'''





       UpperCAmelCase__										=     u
       for i in range(1 ,						__A			):
              UpperCAmelCase__										=     temp * (u - i)
       return temp





def __UpperCAmelCase       (		)						->					None:



       '''simple docstring'''





       UpperCAmelCase__										=     int(input("enter the numbers of values: "			)			)
       UpperCAmelCase__										=     []
       for _ in range(__A			):
              y.append([]			)
       for i in range(__A			):
              for j in range(__A			):
                     y[i].append(__A			)
                     UpperCAmelCase__										=     0

       print("enter the values of parameters in a list: "			)
       UpperCAmelCase__										=     list(map(__A ,						input().split()			)			)

       print("enter the values of corresponding parameters: "			)
       for i in range(__A			):
              UpperCAmelCase__										=     float(input()			)

       UpperCAmelCase__										=     int(input("enter the value to interpolate: "			)			)
       UpperCAmelCase__										=     (value - x[0]) / (x[1] - x[0])

       # for calculating forward difference table

       for i in range(1 ,						__A			):
              for j in range(n - i			):
                     UpperCAmelCase__										=     y[j + 1][i - 1] - y[j][i - 1]

       UpperCAmelCase__										=     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()





