


'''simple docstring'''







def      SCREAMING_SNAKE_CASE_ (  _UpperCAmelCase     :     int   ,_UpperCAmelCase     :     Any  )  ->      Tuple:
       print("""\nVertex Distance"""  )
       for i in range(_A  ):
              if dist[i] != float("""inf"""  ):
                     print(_A   ,"""\t"""   ,int(dist[i]  )   ,end="""\t"""  )
              else:
                     print(_A   ,"""\t"""   ,"""INF"""   ,end="""\t"""  )
              print()


def      SCREAMING_SNAKE_CASE_ (  _UpperCAmelCase     :     str   ,_UpperCAmelCase     :     Any   ,_UpperCAmelCase     :     List[str]  )  ->      int:
       _a   :			Union[str, Any]					 =float("""inf"""  )
       _a   :			Any					 =-1
       for i in range(_A  ):
              if (not vset[i]) and mdist[i] < min_val:
                     _a   :			Optional[Any]					 =i
                     _a   :			Optional[Any]					 =mdist[i]
       return min_ind


def      SCREAMING_SNAKE_CASE_ (  _UpperCAmelCase     :     Tuple   ,_UpperCAmelCase     :     Tuple   ,_UpperCAmelCase     :     Optional[Any]  )  ->      str:
       _a   :			Optional[Any]					 =[float("""inf"""  ) for _ in range(_A  )]
       _a   :			Dict					 =[False for _ in range(_A  )]
       _a   :			int					 =0.0

       for _ in range(v - 1  ):
              _a   :			Dict					 =min_dist(_A   ,_A   ,_A  )
              _a   :			List[str]					 =True

              for i in range(_A  ):
                     if (
                         (not vset[i])
                         and graph[u][i] != float("""inf"""  )
                         and mdist[u] + graph[u][i] < mdist[i]
                     ):
                            _a   :			List[str]					 =mdist[u] + graph[u][i]

       print_dist(_A   ,_A  )


if __name__ == "__main__":
   A__:   Tuple    =	int(input('''Enter number of vertices: ''').strip())
   A__:   Dict    =	int(input('''Enter number of edges: ''').strip())

   A__:   str    =	[[float('''inf''') for i in range(V)] for j in range(V)]

   for i in range(V):
      A__:   Any    =	0.0

   for i in range(E):
      print('''\nEdge ''', i + 1)
      A__:   Optional[Any]    =	int(input('''Enter source:''').strip())
      A__:   Dict    =	int(input('''Enter destination:''').strip())
      A__:   List[str]    =	float(input('''Enter weight:''').strip())
      A__:   List[Any]    =	weight

   A__:   Tuple    =	int(input('''\nEnter shortest path source:''').strip())
   dijkstra(graph, V, gsrc)










'''simple docstring'''







import inspect
import os
import unittest

import torch

import accelerate
from accelerate import debug_launcher
from accelerate.test_utils import (
    execute_subprocess_async,
    require_cpu,
    require_multi_gpu,
    require_single_gpu,
    test_sync,
)
from accelerate.utils import patch_environment







class A__	(						unittest.TestCase				):






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




             '''simple docstring'''
             _a   :			Union[str, Any]					 =inspect.getfile(accelerate.test_utils     )
             _a   :			Any					 =os.path.sep.join(mod_file.split(os.path.sep     )[:-1] + ["""scripts""", """test_sync.py"""]     )






      @require_cpu
      def __UpperCAmelCase	(			self      :List[str]     )	-> Optional[Any]:




             '''simple docstring'''
             debug_launcher(test_sync.main					,						num_processes=1     )






      @require_cpu
      def __UpperCAmelCase	(			self      :int     )	-> Union[str, Any]:




             '''simple docstring'''
             debug_launcher(test_sync.main     )






      @require_single_gpu
      def __UpperCAmelCase	(			self      :Any     )	-> Optional[int]:




             '''simple docstring'''
             test_sync.main()






      @require_multi_gpu
      def __UpperCAmelCase	(			self      :Optional[Any]     )	-> int:




             '''simple docstring'''
             print(f"Found {torch.cuda.device_count()} devices."     )
             _a   :			int					 =["""torchrun""", f"--nproc_per_node={torch.cuda.device_count()}", self.test_file_path]
             with patch_environment(omp_num_threads=1     ):
                    execute_subprocess_async(SCREAMING_SNAKE_CASE					,						env=os.environ.copy()     )


