





'''simple docstring'''




import unittest

from transformers import load_tool

from .test_tools_common import ToolTesterMixin


a__					:			str          =     '''
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 				__snake_case     (					unittest.TestCase       ,       __magic_name__							):





	def   _snake_case   (		self		)      ->		Optional[Any]:
		snake_case__	       =   load_tool('text-question-answering'		)
		self.tool.setup()
		snake_case__	       =   load_tool('text-question-answering'      ,       remote=UpperCamelCase_		)





	def   _snake_case   (		self		)      ->		Union[str, Any]:
		snake_case__	       =   self.tool(UpperCamelCase_      ,       'What did Hugging Face do in April 2021?'		)
		self.assertEqual(UpperCamelCase_      ,       'launched the BigScience Research Workshop'		)





	def   _snake_case   (		self		)      ->		Union[str, Any]:
		snake_case__	       =   self.remote_tool(UpperCamelCase_      ,       'What did Hugging Face do in April 2021?'		)
		self.assertEqual(UpperCamelCase_      ,       'launched the BigScience Research Workshop'		)





	def   _snake_case   (		self		)      ->		Union[str, Any]:
		snake_case__	       =   self.tool(text=UpperCamelCase_      ,       question='What did Hugging Face do in April 2021?'		)
		self.assertEqual(UpperCamelCase_      ,       'launched the BigScience Research Workshop'		)





	def   _snake_case   (		self		)      ->		List[str]:
		snake_case__	       =   self.remote_tool(text=UpperCamelCase_      ,       question='What did Hugging Face do in April 2021?'		)
		self.assertEqual(UpperCamelCase_      ,       'launched the BigScience Research Workshop'		)










'''simple docstring'''




from __future__ import annotations

import math




def 						__lowerCamelCase			(	UpperCAmelCase_					,				UpperCAmelCase_					,				UpperCAmelCase_					,				UpperCAmelCase_					,				UpperCAmelCase_							)   ->int:

	if depth < 0:
		raise ValueError('Depth cannot be less than 0'							)

	if not scores:
		raise ValueError('Scores cannot be empty'							)

	if depth == height:
		return scores[node_index]

	return (
	    max(
	        minimax(depth + 1					,				node_index * 2					,				UpperCAmelCase_					,				UpperCAmelCase_					,				UpperCAmelCase_							)					,				minimax(depth + 1					,				node_index * 2 + 1					,				UpperCAmelCase_					,				UpperCAmelCase_					,				UpperCAmelCase_							)					,				)
	    if is_max
	    else min(
	        minimax(depth + 1					,				node_index * 2					,				UpperCAmelCase_					,				UpperCAmelCase_					,				UpperCAmelCase_							)					,				minimax(depth + 1					,				node_index * 2 + 1					,				UpperCAmelCase_					,				UpperCAmelCase_					,				UpperCAmelCase_							)					,				)
	)




def 						__lowerCamelCase			(	)   ->None:
	snake_case__	       =   [90, 23, 6, 33, 21, 65, 1_23, 3_44_23]
	snake_case__	       =   math.log(len(UpperCAmelCase_							)					,				2							)
	print(f'''Optimal value : {minimax(0					,				0					,				UpperCAmelCase_					,				UpperCAmelCase_					,				UpperCAmelCase_							)}'''							)


if __name__ == "__main__":
			import doctest

			doctest.testmod()
			main()



