






'''simple docstring'''

from collections import deque







class 	SCREAMING_SNAKE_CASE	:




       def __init__(					self      : Optional[int]	,    A__      : str	,    A__      : int	,    A__      : int					):


            """simple docstring"""







            __lowerCamelCase						:       Optional[Any]				   =				process_name  # process name
            __lowerCamelCase						:       Union[str, Any]				   =				arrival_time  # arrival time of the process
            # completion time of finished process or last interrupted time
            __lowerCamelCase						:       Union[str, Any]				   =				arrival_time
            __lowerCamelCase						:       Any				   =				burst_time  # remaining burst time
            __lowerCamelCase						:       List[Any]				   =				0  # total time of the process wait in ready queue
            __lowerCamelCase						:       str				   =				0  # time from arrival time to completion time







class 	SCREAMING_SNAKE_CASE	:




       def __init__(					self      : Union[str, Any]	,    A__      : int	,    A__      : list[int]	,    A__      : deque[Process]	,    A__      : int	,    ):


            """simple docstring"""







            __lowerCamelCase						:       Union[str, Any]				   =				number_of_queues
            # time slice of queues that round robin algorithm applied
            __lowerCamelCase						:       Tuple				   =				time_slices
            # unfinished process is in this ready_queue
            __lowerCamelCase						:       str				   =				queue
            # current time
            __lowerCamelCase						:       str				   =				current_time
            # finished process is in this sequence queue
            __lowerCamelCase						:       deque[Process]				   =				deque()




       def 					a_					(					self      : Union[str, Any]					):


            """simple docstring"""







            __lowerCamelCase						:       Optional[int]				   =				[]
            for i in range(len(self.finish_queue					)					):
                 sequence.append(self.finish_queue[i].process_name					)
            return sequence




       def 					a_					(					self      : List[str]	,    A__      : list[Process]					):


            """simple docstring"""







            __lowerCamelCase						:       Dict				   =				[]
            for i in range(len(A__					)					):
                 waiting_times.append(queue[i].waiting_time					)
            return waiting_times




       def 					a_					(					self      : Dict	,    A__      : list[Process]					):


            """simple docstring"""







            __lowerCamelCase						:       List[str]				   =				[]
            for i in range(len(A__					)					):
                 turnaround_times.append(queue[i].turnaround_time					)
            return turnaround_times




       def 					a_					(					self      : Any	,    A__      : list[Process]					):


            """simple docstring"""







            __lowerCamelCase						:       str				   =				[]
            for i in range(len(A__					)					):
                 completion_times.append(queue[i].stop_time					)
            return completion_times




       def 					a_					(					self      : Optional[int]	,    A__      : deque[Process]					):


            """simple docstring"""







            return [q.burst_time for q in queue]




       def 					a_					(					self      : Tuple	,    A__      : Process					):


            """simple docstring"""







            process.waiting_time += self.current_time - process.stop_time
            return process.waiting_time




       def 					a_					(					self      : Union[str, Any]	,    A__      : deque[Process]					):


            """simple docstring"""







            __lowerCamelCase						:       deque[Process]				   =				deque()  # sequence deque of finished process
            while len(A__					) != 0:
                 __lowerCamelCase						:       Any				   =				ready_queue.popleft()  # current process

                 # if process's arrival time is later than current time, update current time
                 if self.current_time < cp.arrival_time:
                      self.current_time += cp.arrival_time

                 # update waiting time of current process
                 self.update_waiting_time(A__					)
                 # update current time
                 self.current_time += cp.burst_time
                 # finish the process and set the process's burst-time 0
                 __lowerCamelCase						:       Tuple				   =				0
                 # set the process's turnaround time because it is finished
                 __lowerCamelCase						:       Any				   =				self.current_time - cp.arrival_time
                 # set the completion time
                 __lowerCamelCase						:       Any				   =				self.current_time
                 # add the process to queue that has finished queue
                 finished.append(A__					)

            self.finish_queue.extend(A__					)  # add finished process to finish queue
            # FCFS will finish all remaining processes
            return finished




       def 					a_					(					self      : int	,    A__      : deque[Process]	,    A__      : int					):


            """simple docstring"""







            __lowerCamelCase						:       deque[Process]				   =				deque()  # sequence deque of terminated process
            # just for 1 cycle and unfinished processes will go back to queue
            for _ in range(len(A__					)					):
                 __lowerCamelCase						:       Union[str, Any]				   =				ready_queue.popleft()  # current process

                 # if process's arrival time is later than current time, update current time
                 if self.current_time < cp.arrival_time:
                      self.current_time += cp.arrival_time

                 # update waiting time of unfinished processes
                 self.update_waiting_time(A__					)
                 # if the burst time of process is bigger than time-slice
                 if cp.burst_time > time_slice:
                      # use CPU for only time-slice
                      self.current_time += time_slice
                      # update remaining burst time
                      cp.burst_time -= time_slice
                      # update end point time
                      __lowerCamelCase						:       Union[str, Any]				   =				self.current_time
                      # locate the process behind the queue because it is not finished
                      ready_queue.append(A__					)
                 else:
                      # use CPU for remaining burst time
                      self.current_time += cp.burst_time
                      # set burst time 0 because the process is finished
                      __lowerCamelCase						:       Any				   =				0
                      # set the finish time
                      __lowerCamelCase						:       str				   =				self.current_time
                      # update the process' turnaround time because it is finished
                      __lowerCamelCase						:       Union[str, Any]				   =				self.current_time - cp.arrival_time
                      # add the process to queue that has finished queue
                      finished.append(A__					)

            self.finish_queue.extend(A__					)  # add finished process to finish queue
            # return finished processes queue and remaining processes queue
            return finished, ready_queue




       def 					a_					(					self      : Tuple					):


            """simple docstring"""







            for i in range(self.number_of_queues - 1					):
                 __lowerCamelCase   ,      __lowerCamelCase						:       List[Any]				   =				self.round_robin(
                     self.ready_queue	,    self.time_slices[i]					)
            #  the last queue has first_come_first_served algorithm
            self.first_come_first_served(self.ready_queue					)

            return self.finish_queue


if __name__ == "__main__":
   import doctest

   UpperCAmelCase__						:int          =			Process("""P1""", 0, 53)
   UpperCAmelCase__						:Any          =			Process("""P2""", 0, 17)
   UpperCAmelCase__						:List[str]          =			Process("""P3""", 0, 68)
   UpperCAmelCase__						:Any          =			Process("""P4""", 0, 24)
   UpperCAmelCase__						:Union[str, Any]          =			3
   UpperCAmelCase__						:int          =			[17, 25]
   UpperCAmelCase__						:Optional[int]          =			deque([Pa, Pa, Pa, Pa])

   if len(time_slices) != number_of_queues - 1:
      raise SystemExit(0)

   doctest.testmod(extraglobs={"""queue""": deque([Pa, Pa, Pa, Pa])})

   UpperCAmelCase__						:List[Any]          =			Process("""P1""", 0, 53)
   UpperCAmelCase__						:Optional[int]          =			Process("""P2""", 0, 17)
   UpperCAmelCase__						:Any          =			Process("""P3""", 0, 68)
   UpperCAmelCase__						:List[str]          =			Process("""P4""", 0, 24)
   UpperCAmelCase__						:List[Any]          =			3
   UpperCAmelCase__						:Dict          =			[17, 25]
   UpperCAmelCase__						:Any          =			deque([Pa, Pa, Pa, Pa])
   UpperCAmelCase__						:Optional[Any]          =			MLFQ(number_of_queues, time_slices, queue, 0)
   UpperCAmelCase__						:Union[str, Any]          =			mlfq.multi_level_feedback_queue()

   # print total waiting times of processes(P1, P2, P3, P4)
   print(
       f'''waiting time:\
        \t\t\t{MLFQ.calculate_waiting_time(mlfq, [Pa, Pa, Pa, Pa])}'''
   )
   # print completion times of processes(P1, P2, P3, P4)
   print(
       f'''completion time:\
        \t\t{MLFQ.calculate_completion_time(mlfq, [Pa, Pa, Pa, Pa])}'''
   )
   # print total turnaround times of processes(P1, P2, P3, P4)
   print(
       f'''turnaround time:\
        \t\t{MLFQ.calculate_turnaround_time(mlfq, [Pa, Pa, Pa, Pa])}'''
   )
   # print sequence of finished processes
   print(
       f'''sequence of finished processes:\
        {mlfq.calculate_sequence_of_finish_queue()}'''
   )











'''simple docstring'''

def     __lowercase  (_lowercase,						_lowercase,						_lowercase,						_lowercase     )   ->     Union[str, Any]:


     """simple docstring"""
     # Return True if there is node that has not iterated.
     __lowerCamelCase						:       Optional[Any]				   =				[False] * len(_lowercase     )
     __lowerCamelCase						:       Dict				   =				[]
     queue.append(_lowercase     )
     __lowerCamelCase						:       Optional[int]				   =				True

     while queue:
          __lowerCamelCase						:       Optional[Any]				   =				queue.pop(0     )
          for ind in range(len(graph[u]     )     ):
               if visited[ind] is False and graph[u][ind] > 0:
                    queue.append(_lowercase     )
                    __lowerCamelCase						:       List[str]				   =				True
                    __lowerCamelCase						:       str				   =				u

     return visited[t]
def     __lowercase  (_lowercase,						_lowercase,						_lowercase     )   ->     Optional[Any]:


     """simple docstring"""
     # This array is filled by BFS and to store path
     __lowerCamelCase						:       Any				   =				[-1] * (len(_lowercase     ))
     __lowerCamelCase						:       Optional[int]				   =				0
     while bfs(_lowercase,						_lowercase,						_lowercase,						_lowercase     ):
          __lowerCamelCase						:       List[Any]				   =				float("""Inf"""     )
          __lowerCamelCase						:       Union[str, Any]				   =				sink

          while s != source:
               # Find the minimum value in select path
               __lowerCamelCase						:       Optional[int]				   =				min(_lowercase,						graph[parent[s]][s]     )
               __lowerCamelCase						:       Union[str, Any]				   =				parent[s]

          max_flow += path_flow
          __lowerCamelCase						:       str				   =				sink

          while v != source:
               __lowerCamelCase						:       List[Any]				   =				parent[v]
               graph[u][v] -= path_flow
               graph[v][u] += path_flow
               __lowerCamelCase						:       Dict				   =				parent[v]
     return max_flow


UpperCAmelCase__						:str          =			[
    [0, 16, 13, 0, 0, 0],
    [0, 0, 10, 12, 0, 0],
    [0, 4, 0, 0, 14, 0],
    [0, 0, 9, 0, 0, 20],
    [0, 0, 0, 7, 0, 4],
    [0, 0, 0, 0, 0, 0],
]

UpperCAmelCase__       ,				UpperCAmelCase__						:Optional[Any]          =			0, 5
print(ford_fulkerson(graph, source, sink))



