






'''simple docstring'''

import unittest

from transformers import load_tool

from .test_tools_common import ToolTesterMixin


SCREAMING_SNAKE_CASE__											=     '\nHugging 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.\n\nIn March 2021, Hugging Face raised $40 million in a Series B funding round.[3]\n\nOn 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]\n'






class        a_		(    unittest.TestCase			, lowerCamelCase       ):

  def 						A__		(   self   )						->   Dict:



        """simple docstring"""






        UpperCamelCase       						=      load_tool("""text-question-answering"""   )
        self.tool.setup()
        UpperCamelCase       						=      load_tool("""text-question-answering"""    ,	remote=_SCREAMING_SNAKE_CASE   )

  def 						A__		(   self   )						->   Optional[Any]:



        """simple docstring"""






        UpperCamelCase       						=      self.tool(_SCREAMING_SNAKE_CASE    ,	"""What did Hugging Face do in April 2021?"""   )
        self.assertEqual(_SCREAMING_SNAKE_CASE    ,	"""launched the BigScience Research Workshop"""   )

  def 						A__		(   self   )						->   Any:



        """simple docstring"""






        UpperCamelCase       						=      self.remote_tool(_SCREAMING_SNAKE_CASE    ,	"""What did Hugging Face do in April 2021?"""   )
        self.assertEqual(_SCREAMING_SNAKE_CASE    ,	"""launched the BigScience Research Workshop"""   )

  def 						A__		(   self   )						->   Tuple:



        """simple docstring"""






        UpperCamelCase       						=      self.tool(text=_SCREAMING_SNAKE_CASE    ,	question="""What did Hugging Face do in April 2021?"""   )
        self.assertEqual(_SCREAMING_SNAKE_CASE    ,	"""launched the BigScience Research Workshop"""   )


  def 						A__		(   self   )						->   Optional[int]:



        """simple docstring"""






        UpperCamelCase       						=      self.remote_tool(text=_SCREAMING_SNAKE_CASE    ,	question="""What did Hugging Face do in April 2021?"""   )
        self.assertEqual(_SCREAMING_SNAKE_CASE    ,	"""launched the BigScience Research Workshop"""   )








'''simple docstring'''

from __future__ import annotations







def 					lowercase__				(   __UpperCamelCase	,		__UpperCamelCase	,		__UpperCamelCase					)->				dict[str, float]:
      if (voltage, current, resistance).count(0					) != 1:
            raise ValueError("""One and only one argument must be 0"""					)
      if resistance < 0:
            raise ValueError("""Resistance cannot be negative"""					)
      if voltage == 0:
            return {"voltage": float(current * resistance					)}
      elif current == 0:
            return {"current": voltage / resistance}
      elif resistance == 0:
            return {"resistance": voltage / current}
      else:
            raise ValueError("""Exactly one argument must be 0"""					)


if __name__ == "__main__":
     import doctest

     doctest.testmod()
