





'''simple docstring'''






import unittest

from transformers import load_tool

from .test_tools_common import ToolTesterMixin


A__				:   Dict      ='''
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							,		snake_case_   ):




      def 				lowercase__    (			self			: List[Any]  )				->      List[Any]:
            _lowerCAmelCase							     =							load_tool("""text-question-answering"""  )
            self.tool.setup()
            _lowerCAmelCase							     =							load_tool("""text-question-answering"""			,			remote=__snake_case  )




      def 				lowercase__    (			self			: int  )				->      int:
            _lowerCAmelCase							     =							self.tool(__snake_case			,			"""What did Hugging Face do in April 2021?"""  )
            self.assertEqual(__snake_case			,			"""launched the BigScience Research Workshop"""  )




      def 				lowercase__    (			self			: int  )				->      Any:
            _lowerCAmelCase							     =							self.remote_tool(__snake_case			,			"""What did Hugging Face do in April 2021?"""  )
            self.assertEqual(__snake_case			,			"""launched the BigScience Research Workshop"""  )




      def 				lowercase__    (			self			: str  )				->      Optional[Any]:
            _lowerCAmelCase							     =							self.tool(text=__snake_case			,			question="""What did Hugging Face do in April 2021?"""  )
            self.assertEqual(__snake_case			,			"""launched the BigScience Research Workshop"""  )




      def 				lowercase__    (			self			: Optional[int]  )				->      List[Any]:
            _lowerCAmelCase							     =							self.remote_tool(text=__snake_case			,			question="""What did Hugging Face do in April 2021?"""  )
            self.assertEqual(__snake_case			,			"""launched the BigScience Research Workshop"""  )







from __future__ import annotations

_SCREAMING_SNAKE_CASE										=						{
    'A': ['B', 'C', 'E'],
    'B': ['A', 'D', 'E'],
    'C': ['A', 'F', 'G'],
    'D': ['B'],
    'E': ['A', 'B', 'D'],
    'F': ['C'],
    'G': ['C'],
}



class 				a							:







 """simple docstring"""






 def __init__(					self		,				lowerCAmelCase_		,				lowerCAmelCase_							)  ->					None:
        _A        =  graph
        # mapping node to its parent in resulting breadth first tree
        _A        =  {}
        _A        =  source_vertex



 def      UpperCAmelCase							(					self							)  ->					None:
        _A        =  {self.source_vertex}
        _A        =  None
        _A        =  [self.source_vertex]  # first in first out queue

        while queue:
               _A        =  queue.pop(0							)
               for adjacent_vertex in self.graph[vertex]:
                      if adjacent_vertex not in visited:
                             visited.add(lowerCAmelCase_							)
                             _A        =  vertex
                             queue.append(lowerCAmelCase_							)



 def      UpperCAmelCase							(					self		,				lowerCAmelCase_							)  ->					str:
        if target_vertex == self.source_vertex:
               return self.source_vertex

        _A        =  self.parent.get(lowerCAmelCase_							)
        if target_vertex_parent is None:
               _A        =  (
                   F'''No path from vertex: {self.source_vertex} to vertex: {target_vertex}'''
               )
               raise ValueError(lowerCAmelCase_							)

        return self.shortest_path(lowerCAmelCase_							) + F'''->{target_vertex}'''


if __name__ == "__main__":
    _SCREAMING_SNAKE_CASE										=						Graph(graph, 'G')
    g.breath_first_search()
    print(g.shortest_path('D'))
    print(g.shortest_path('G'))
    print(g.shortest_path('Foo'))




