





"""simple docstring"""




from __future__ import annotations

from statistics import mean





def 		UpperCAmelCase__						(	_UpperCAmelCase   ):






  """simple docstring"""





  A_    :			Union[str, Any]									=    2
  A_    :			Union[str, Any]									=    list(_UpperCAmelCase   )
  A_    :			Tuple									=    [0] * len(_UpperCAmelCase   )
  A_    :			Tuple									=    0
  while True:
    A_    :			Any									=    True
    for i, burst_time in enumerate(_UpperCAmelCase   ):
      if rem_burst_times[i] > 0:
        A_    :			Union[str, Any]									=    False
        if rem_burst_times[i] > quantum:
          t += quantum
          rem_burst_times[i] -= quantum
        else:
          t += rem_burst_times[i]
          A_    :			Tuple									=    t - burst_time
          A_    :			Optional[int]									=    0
    if done is True:
      return waiting_times





def 		UpperCAmelCase__						(	_UpperCAmelCase					,   _UpperCAmelCase   ):






  """simple docstring"""





  return [burst + waiting for burst, waiting in zip(_UpperCAmelCase					,   _UpperCAmelCase   )]


if __name__ == "__main__":
   lowerCamelCase_	:		Optional[int]         =   [3, 5, 7]
   lowerCamelCase_	:		List[str]         =   calculate_waiting_times(burst_times)
   lowerCamelCase_	:		Any         =   calculate_turn_around_times(burst_times, waiting_times)
   print('Process ID \tBurst Time \tWaiting Time \tTurnaround Time')
   for i, burst_time in enumerate(burst_times):
      print(
          F"  {i + 1}\t\t  {burst_time}\t\t  {waiting_times[i]}\t\t  "
          F"{turn_around_times[i]}"
      )
   print(F"\nAverage waiting time = {mean(waiting_times):.5f}")
   print(F"Average turn around time = {mean(turn_around_times):.5f}")
import heapq

def 				UpperCamelCase					(     lowerCAmelCase_							,       lowerCAmelCase_							,       lowerCAmelCase_ )		->    Dict:




       '''simple docstring'''






       _A=						[(0, start)]  # cost from start node,end node
       _A=						set()
       while heap:
              ((_A),      (_A))=						heapq.heappop(lowerCAmelCase_ )
              if u in visited:
                     continue
              visited.add(lowerCAmelCase_ )
              if u == end:
                     return cost
              for v, c in graph[u]:
                     if v in visited:
                            continue
                     _A=						cost + c
                     heapq.heappush(lowerCAmelCase_							,       (next_item, v) )
       return -1


UpperCAmelCase_    		=				{
    '''A''': [['''B''', 2], ['''C''', 5]],
    '''B''': [['''A''', 2], ['''D''', 3], ['''E''', 1], ['''F''', 1]],
    '''C''': [['''A''', 5], ['''F''', 3]],
    '''D''': [['''B''', 3]],
    '''E''': [['''B''', 4], ['''F''', 3]],
    '''F''': [['''C''', 3], ['''E''', 3]],
}
UpperCAmelCase_    		=				{
    '''B''': [['''C''', 1]],
    '''C''': [['''D''', 1]],
    '''D''': [['''F''', 1]],
    '''E''': [['''B''', 1], ['''F''', 3]],
    '''F''': [],
}
UpperCAmelCase_    		=				{
    '''B''': [['''C''', 1]],
    '''C''': [['''D''', 1]],
    '''D''': [['''F''', 1]],
    '''E''': [['''B''', 1], ['''G''', 2]],
    '''F''': [],
    '''G''': [['''F''', 1]],
}

UpperCAmelCase_    		=				dijkstra(G, '''E''', '''C''')
print(short_distance)  # E -- 3 --> F -- 3 --> C == 6

UpperCAmelCase_    		=				dijkstra(Ga, '''E''', '''F''')
print(short_distance)  # E -- 3 --> F == 3

UpperCAmelCase_    		=				dijkstra(Ga, '''E''', '''F''')
print(short_distance)  # E -- 2 --> G -- 1 --> F == 3

if __name__ == "__main__":
      import doctest

      doctest.testmod()