




import unittest

from transformers import load_tool

from .test_tools_common import ToolTesterMixin


_lowerCamelCase	:		Optional[Any]							       =   """
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 				UpperCamelCase_    ( unittest.TestCase		,					UpperCAmelCase__     ):

    '''simple docstring'''






    def        SCREAMING_SNAKE_CASE							(			self      :	str)						->Dict:





           '''simple docstring'''

           A__       =    load_tool('''text-question-answering''')
           self.tool.setup()
           A__       =    load_tool('''text-question-answering'''					, remote=UpperCAmelCase__)


    def        SCREAMING_SNAKE_CASE							(			self      :	str)						->str:





           '''simple docstring'''

           A__       =    self.tool(UpperCAmelCase__					, '''What did Hugging Face do in April 2021?''')
           self.assertEqual(UpperCAmelCase__					, '''launched the BigScience Research Workshop''')


    def        SCREAMING_SNAKE_CASE							(			self      :	Optional[Any])						->str:





           '''simple docstring'''

           A__       =    self.remote_tool(UpperCAmelCase__					, '''What did Hugging Face do in April 2021?''')
           self.assertEqual(UpperCAmelCase__					, '''launched the BigScience Research Workshop''')


    def        SCREAMING_SNAKE_CASE							(			self      :	List[str])						->Tuple:





           '''simple docstring'''

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





    def        SCREAMING_SNAKE_CASE							(			self      :	List[str])						->Any:





           '''simple docstring'''

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








from __future__ import annotations







def SCREAMING_SNAKE_CASE				(       lowercase_ ,				lowercase_ ,				lowercase_						)   ->       tuple[float, list[float]]:



       """simple docstring"""

       A__       =    list(range(len(lowercase_						)						)						)
       A__       =    [v / w for v, w in zip(lowercase_ ,				lowercase_						)]
       index.sort(key=lambda lowercase_						: ratio[i] ,				reverse=lowercase_						)

       A__       =    0
       A__       =    [0] * len(lowercase_						)
       for i in index:
              if weight[i] <= capacity:
                     A__       =    1
                     max_value += value[i]
                     capacity -= weight[i]
              else:
                     A__       =    capacity / weight[i]
                     max_value += value[i] * capacity / weight[i]
                     break

       return max_value, fractions


if __name__ == "__main__":
  import doctest

  doctest.testmod()


