



'''simple docstring'''
from __future__ import annotations

from collections import Counter
from random import random






class 							lowercase__	:





	def __init__( self					:				Optional[Any] ):







							'''simple docstring'''
							_UpperCamelCase					:		str 				=   {}





	def 	UpperCamelCase_  ( self					:				Any ,lowerCamelCase__					:				str ):







							'''simple docstring'''
							_UpperCamelCase					:		List[Any] 				=   {}





	def 	UpperCamelCase_  ( self					:				List[Any] ,lowerCamelCase__					:				str ,lowerCamelCase__					:				str ,lowerCamelCase__					:				float ):







							'''simple docstring'''
							if nodea not in self.connections:
													self.add_node(lowerCamelCase__ )
							if nodea not in self.connections:
													self.add_node(lowerCamelCase__ )
							_UpperCamelCase					:		str 				=   probability





	def 	UpperCamelCase_  ( self					:				Union[str, Any] ):







							'''simple docstring'''
							return list(self.connections )





	def 	UpperCamelCase_  ( self					:				Dict ,lowerCamelCase__					:				str ):







							'''simple docstring'''
							_UpperCamelCase					:		Optional[Any] 				=   0
							_UpperCamelCase					:		List[Any] 				=   random()

							for dest in self.connections[node]:
													current_probability += self.connections[node][dest]
													if current_probability > random_value:
																			return dest
							return ""






def A__    (     UpperCAmelCase_  ,  UpperCAmelCase_  ,  UpperCAmelCase_							):
						_UpperCamelCase					:		Dict 				=   MarkovChainGraphUndirectedUnweighted()

						for nodea, nodea, probability in transitions:
												graph.add_transition_probability(UpperCAmelCase_  ,  UpperCAmelCase_  ,  UpperCAmelCase_							)

						_UpperCamelCase					:		Union[str, Any] 				=   Counter(graph.get_nodes()							)
						_UpperCamelCase					:		Dict 				=   start

						for _ in range(UpperCAmelCase_							):
												_UpperCamelCase					:		Union[str, Any] 				=   graph.transition(UpperCAmelCase_							)
												visited[node] += 1

						return visited


if __name__ == "__main__":
					import doctest

					doctest.testmod()










"""simple docstring"""





import unittest

from transformers import load_tool

from .test_tools_common import ToolTesterMixin


_SCREAMING_SNAKE_CASE					:				Optional[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  ,      __snake_case		):






    def    UpperCamelCase       (       self     :							int					)     ->		Optional[int]:
      lowerCamelCase_         =						load_tool('text-question-answering'					)
      self.tool.setup()
      lowerCamelCase_         =						load_tool('text-question-answering'       ,						remote=__SCREAMING_SNAKE_CASE					)






    def    UpperCamelCase       (       self     :							Dict					)     ->		Tuple:
      lowerCamelCase_         =						self.tool(__SCREAMING_SNAKE_CASE       ,						'What did Hugging Face do in April 2021?'					)
      self.assertEqual(__SCREAMING_SNAKE_CASE       ,						'launched the BigScience Research Workshop'					)






    def    UpperCamelCase       (       self     :							List[Any]					)     ->		Optional[int]:
      lowerCamelCase_         =						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    UpperCamelCase       (       self     :							List[str]					)     ->		Optional[int]:
      lowerCamelCase_         =						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    UpperCamelCase       (       self     :							Union[str, Any]					)     ->		int:
      lowerCamelCase_         =						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'					)




