from __future__ import annotations

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  UpperCamelCase				:

     '''simple docstring'''

     def __init__(					self				,				A_				,				A_						) ->				None:






           """simple docstring"""
           _lowerCamelCase			    =				graph
           # mapping node to its parent in resulting breadth first tree
           _lowerCamelCase			    =				{}
           _lowerCamelCase			    =				source_vertex



     def 		UpperCamelCase_						(					self						) ->				None:






           """simple docstring"""
           _lowerCamelCase			    =				{self.source_vertex}
           _lowerCamelCase			    =				None
           _lowerCamelCase			    =				[self.source_vertex]  # first in first out queue

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





     def 		UpperCamelCase_						(					self				,				A_						) ->				str:






           """simple docstring"""
           if target_vertex == self.source_vertex:
                 return self.source_vertex

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

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


if __name__ == "__main__":
     snake_case__				= Graph(graph, 'G')
     g.breath_first_search()
     print(g.shortest_path('D'))
     print(g.shortest_path('G'))
     print(g.shortest_path('Foo'))
from .testing import (
    are_the_same_tensors,
    execute_subprocess_async,
    require_bnb,
    require_cpu,
    require_cuda,
    require_huggingface_suite,
    require_mps,
    require_multi_gpu,
    require_multi_xpu,
    require_safetensors,
    require_single_gpu,
    require_single_xpu,
    require_torch_min_version,
    require_tpu,
    require_xpu,
    skip,
    slow,
)
from .training import RegressionDataset, RegressionModel, RegressionModelaXPU


from .scripts import test_script, test_sync, test_ops  # isort: skip