
import argparse
import os

from accelerate.test_utils import execute_subprocess_async
def    lowerCAmelCase_	(				SCREAMING_SNAKE_CASE_=None						)     ->     Any:




   """simple docstring"""

   if subparsers is not None:
      _SCREAMING_SNAKE_CASE      =				subparsers.add_parser("""test"""						)
   else:
      _SCREAMING_SNAKE_CASE      =				argparse.ArgumentParser("""Accelerate test command"""						)

   parser.add_argument(
       """--config_file"""    ,      default=lowercase_    ,      help=(
           """The path to use to store the config file. Will default to a file named default_config.yaml in the cache """
           """location, which is the content of the environment `HF_HOME` suffixed with 'accelerate', or if you don't have """
           """such an environment variable, your cache directory ('~/.cache' or the content of `XDG_CACHE_HOME`) suffixed """
           """with 'huggingface'."""
       )    ,      )

   if subparsers is not None:
      parser.set_defaults(func=lowercase_						)
   return parser
def    lowerCAmelCase_	(				SCREAMING_SNAKE_CASE_						)     ->     List[Any]:




   """simple docstring"""
   _SCREAMING_SNAKE_CASE      =				os.path.sep.join(__file__.split(os.path.sep						)[:-2] + ["""test_utils""", """scripts""", """test_script.py"""]						)

   if args.config_file is None:
      _SCREAMING_SNAKE_CASE      =				script_name
   else:
      _SCREAMING_SNAKE_CASE      =				F"--config_file={args.config_file} {script_name}"

   _SCREAMING_SNAKE_CASE      =				["accelerate-launch"] + test_args.split()
   _SCREAMING_SNAKE_CASE      =				execute_subprocess_async(lowercase_    ,      env=os.environ.copy()						)
   if result.returncode == 0:
      print("""Test is a success! You are ready for your distributed training!"""						)
def    lowerCAmelCase_	(				)     ->     Optional[Any]:




   """simple docstring"""
   _SCREAMING_SNAKE_CASE      =				test_command_parser()
   _SCREAMING_SNAKE_CASE      =				parser.parse_args()
   test_command(lowercase_						)


if __name__ == "__main__":
     main()








'''simple docstring'''



from __future__ import annotations
def    lowerCAmelCase_	(				SCREAMING_SNAKE_CASE_    ,      SCREAMING_SNAKE_CASE_						)     ->     Tuple:




   """simple docstring"""
   print(F"Vertex\tShortest Distance from vertex {src}"						)
   for i, d in enumerate(SCREAMING_SNAKE_CASE_						):
      print(F"{i}\t\t{d}"						)
def    lowerCAmelCase_	(				SCREAMING_SNAKE_CASE_    ,      SCREAMING_SNAKE_CASE_    ,      SCREAMING_SNAKE_CASE_						)     ->     List[Any]:




   """simple docstring"""
   for j in range(SCREAMING_SNAKE_CASE_						):
      _SCREAMING_SNAKE_CASE ,							_SCREAMING_SNAKE_CASE ,							_SCREAMING_SNAKE_CASE      =				(graph[j][k] for k in ["""src""", """dst""", """weight"""])
      if distance[u] != float("""inf"""						) and distance[u] + w < distance[v]:
         return True
   return False
def    lowerCAmelCase_	(				SCREAMING_SNAKE_CASE_    ,      SCREAMING_SNAKE_CASE_    ,      SCREAMING_SNAKE_CASE_    ,      SCREAMING_SNAKE_CASE_						)     ->     list[float]:




   """simple docstring"""
   _SCREAMING_SNAKE_CASE      =				[float("""inf"""						)] * vertex_count
   _SCREAMING_SNAKE_CASE      =				0.0

   for _ in range(vertex_count - 1						):
      for j in range(SCREAMING_SNAKE_CASE_						):
         _SCREAMING_SNAKE_CASE ,							_SCREAMING_SNAKE_CASE ,							_SCREAMING_SNAKE_CASE      =				(graph[j][k] for k in ["""src""", """dst""", """weight"""])

         if distance[u] != float("""inf"""						) and distance[u] + w < distance[v]:
            _SCREAMING_SNAKE_CASE      =				distance[u] + w

   _SCREAMING_SNAKE_CASE      =				check_negative_cycle(SCREAMING_SNAKE_CASE_    ,      SCREAMING_SNAKE_CASE_    ,      SCREAMING_SNAKE_CASE_						)
   if negative_cycle_exists:
      raise Exception("""Negative cycle found"""						)

   return distance


if __name__ == "__main__":
     import doctest

     doctest.testmod()

     UpperCamelCase__      :		int       							=  int(input("Enter number of vertices: ").strip())
     UpperCamelCase__      :		int       							=  int(input("Enter number of edges: ").strip())

     UpperCamelCase__      :		list[dict[str, int]]       							=  [{} for _ in range(E)]

     for i in range(E):
          print("Edge ", i + 1)
          UpperCamelCase__							,      UpperCamelCase__							,      UpperCamelCase__      :		Dict       							=  (
              int(x)
              for x in input("Enter source, destination, weight: ").strip().split(" ")
          )
          UpperCamelCase__      :		Optional[Any]       							=  {"src": src, "dst": dest, "weight": weight}

     UpperCamelCase__      :		Optional[Any]       							=  int(input("\nEnter shortest path source:").strip())
     UpperCamelCase__      :		Any       							=  bellman_ford(graph, V, E, source)
     print_distance(shortest_distance, 0)






