




from __future__ import annotations
class 							__lowercase   :



     def __init__(  self   :							Optional[int]      ,		lowercase__   :							int       ):
       a_		    =  vertices
       a_		    =  [[0] * vertices for _ in range(lowercase__       )]



     def 				__magic_name__		(  self   :							Optional[int]      ,		lowercase__   :							list[int]       ):
       print('''Vertex \t Distance from Source'''       )
       for vertex in range(self.vertices       ):
         print(lowercase__      ,		'''\t\t'''      ,		distances_from_source[vertex]       )



     def 				__magic_name__		(  self   :							Any      ,		lowercase__   :							list[int]      ,		lowercase__   :							list[bool]       ):
       a_		    =  1e7
       a_		    =  0

       # Search not nearest vertex not in the shortest path tree
       for vertex in range(self.vertices       ):
         if distances_from_source[vertex] < minimum and visited[vertex] is False:
           a_		    =  distances_from_source[vertex]
           a_		    =  vertex
       return min_index



     def 				__magic_name__		(  self   :							List[Any]      ,		lowercase__   :							int       ):
       a_		    =  [int(1e7       )] * self.vertices  # distances from the source
       a_		    =  0
       a_		    =  [False] * self.vertices

       for _ in range(self.vertices       ):
         a_		    =  self.minimum_distance(lowercase__      ,		lowercase__       )
         a_		    =  True

         # Update dist value of the adjacent vertices
         # of the picked vertex only if the current
         # distance is greater than new distance and
         # the vertex in not in the shortest path tree
         for v in range(self.vertices       ):
           if (
               self.graph[u][v] > 0
               and visited[v] is False
               and distances[v] > distances[u] + self.graph[u][v]
           ):
             a_		    =  distances[u] + self.graph[u][v]

       self.print_solution(lowercase__       )


if __name__ == "__main__":
  UpperCamelCase__       				=	Graph(9)
  UpperCamelCase__       				=	[
      [0, 4, 0, 0, 0, 0, 0, 8, 0],
      [4, 0, 8, 0, 0, 0, 0, 11, 0],
      [0, 8, 0, 7, 0, 4, 0, 0, 2],
      [0, 0, 7, 0, 9, 14, 0, 0, 0],
      [0, 0, 0, 9, 0, 10, 0, 0, 0],
      [0, 0, 4, 14, 10, 0, 2, 0, 0],
      [0, 0, 0, 0, 0, 2, 0, 1, 6],
      [8, 11, 0, 0, 0, 0, 1, 0, 7],
      [0, 0, 2, 0, 0, 0, 6, 7, 0],
  ]
  graph.dijkstra(0)






import io
import json
import subprocess


UpperCamelCase__       				=	[
    ['''en''', '''ru'''],
    ['''ru''', '''en'''],
    ['''en''', '''de'''],
    ['''de''', '''en'''],
]

UpperCamelCase__       				=	8






def 				UpperCAmelCase__  (							_A      ,      _A			):






  """simple docstring"""


  a_		    =  {}
  for src, tgt in pairs:
    a_		    =  f"{src}-{tgt}"
    a_		    =  f"sacrebleu -t wmt19 -l {pair} --echo src".split()
    a_		    =  subprocess.run(_A      ,      stdout=subprocess.PIPE			).stdout.decode('''utf-8'''			).splitlines()
    a_		    =  f"sacrebleu -t wmt19 -l {pair} --echo ref".split()
    a_		    =  subprocess.run(_A      ,      stdout=subprocess.PIPE			).stdout.decode('''utf-8'''			).splitlines()
    a_		    =  {'''src''': src_lines[:n_objs], '''tgt''': tgt_lines[:n_objs]}
  return text


UpperCamelCase__       				=	get_all_data(pairs, n_objs)
UpperCamelCase__       				=	'''./fsmt_val_data.json'''
with io.open(filename, '''w''', encoding='''utf-8''') as f:
  UpperCamelCase__       				=	json.dump(text, f, indent=2, ensure_ascii=False)
