
"""simple docstring"""




from __future__ import annotations

import math


def   __magic_name__	(      __snake_case				:       float     , __snake_case				:       int  ) ->				float:
       lowercase    :				Optional[Any]       		=							u
       for i in range(1     , __snake_case  ):
              lowercase    :				List[Any]       		=							temp * (u - i)
       return temp


def   __magic_name__	(      ) ->				None:
       lowercase    :				Dict       		=							int(input("enter the numbers of values: "  )  )
       lowercase    :				list[list[float]]       		=							[]
       for _ in range(__snake_case  ):
              y.append([]  )
       for i in range(__snake_case  ):
              for j in range(__snake_case  ):
                     y[i].append(__snake_case  )
                     lowercase    :				Optional[int]       		=							0

       print("enter the values of parameters in a list: "  )
       lowercase    :				Tuple       		=							list(map(__snake_case     , input().split()  )  )

       print("enter the values of corresponding parameters: "  )
       for i in range(__snake_case  ):
              lowercase    :				Tuple       		=							float(input()  )

       lowercase    :				List[Any]       		=							int(input("enter the value to interpolate: "  )  )
       lowercase    :				Dict       		=							(value - x[0]) / (x[1] - x[0])

       # for calculating forward difference table

       for i in range(1     , __snake_case  ):
              for j in range(n - i  ):
                     lowercase    :				str       		=							y[j + 1][i - 1] - y[j][i - 1]

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

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


if __name__ == "__main__":
   main()




"""simple docstring"""




import unittest

from transformers import load_tool

from .test_tools_common import ToolTesterMixin


_A			:       int   		=       """
Hugging Face was founded in 2016 by French entrepreneurs Clément Delangue, Julien Chaumond, and Thomas Wolf originally as a company that developed a chatbot app targeted at teenagers.[2] After open-sourcing the model behind the chatbot, the company pivoted to focus on being a platform for machine learning.

In March 2021, Hugging Face raised $40 million in a Series B funding round.[3]

On April 28, 2021, the company launched the BigScience Research Workshop in collaboration with several other research groups to release an open large language model.[4] In 2022, the workshop concluded with the announcement of BLOOM, a multilingual large language model with 176 billion parameters.[5]
"""

class 		a__						(      unittest.TestCase,			a_						):
   def 			__magic_name__			(			self				):
          lowercase    :				Tuple       		=							load_tool("text-question-answering"				)
          self.tool.setup()
          lowercase    :				Dict       		=							load_tool("text-question-answering"	,    remote=_a				)
   def 			__magic_name__			(			self				):
          lowercase    :				str       		=							self.tool(_a	,    "What did Hugging Face do in April 2021?"				)
          self.assertEqual(_a	,    "launched the BigScience Research Workshop"				)
   def 			__magic_name__			(			self				):
          lowercase    :				Union[str, Any]       		=							self.remote_tool(_a	,    "What did Hugging Face do in April 2021?"				)
          self.assertEqual(_a	,    "launched the BigScience Research Workshop"				)
   def 			__magic_name__			(			self				):
          lowercase    :				int       		=							self.tool(text=_a	,    question="What did Hugging Face do in April 2021?"				)
          self.assertEqual(_a	,    "launched the BigScience Research Workshop"				)

   def 			__magic_name__			(			self				):
          lowercase    :				Optional[Any]       		=							self.remote_tool(text=_a	,    question="What did Hugging Face do in April 2021?"				)
          self.assertEqual(_a	,    "launched the BigScience Research Workshop"				)


