



"""simple docstring"""






from collections import deque



class     UpperCAmelCase    :



   def __init__(       self    :	Dict							,       __lowerCamelCase    :	str							,       __lowerCamelCase    :	int							,       __lowerCamelCase    :	int				):



     """simple docstring"""
     _snake_case   	=      process_name  # process name
     _snake_case   	=      arrival_time  # arrival time of the process
     # completion time of finished process or last interrupted time
     _snake_case   	=      arrival_time
     _snake_case   	=      burst_time  # remaining burst time
     _snake_case   	=      0  # total time of the process wait in ready queue
     _snake_case   	=      0  # time from arrival time to completion time



class     UpperCAmelCase    :



   def __init__(       self    :	Dict							,       __lowerCamelCase    :	int							,       __lowerCamelCase    :	list[int]							,       __lowerCamelCase    :	deque[Process]							,       __lowerCamelCase    :	int							,       ):



     """simple docstring"""
     # total number of mlfq's queues
     _snake_case   	=      number_of_queues
     # time slice of queues that round robin algorithm applied
     _snake_case   	=      time_slices
     # unfinished process is in this ready_queue
     _snake_case   	=      queue
     # current time
     _snake_case   	=      current_time
     # finished process is in this sequence queue
     _snake_case   	=      deque()



   def    __UpperCAmelCase    (       self    :	Dict				):



     """simple docstring"""
     _snake_case   	=      []
     for i in range(len(self.finish_queue				)				):
       sequence.append(self.finish_queue[i].process_name				)
     return sequence



   def    __UpperCAmelCase    (       self    :	List[str]							,       __lowerCamelCase    :	list[Process]				):



     """simple docstring"""
     _snake_case   	=      []
     for i in range(len(__lowerCamelCase				)				):
       waiting_times.append(queue[i].waiting_time				)
     return waiting_times



   def    __UpperCAmelCase    (       self    :	Optional[int]							,       __lowerCamelCase    :	list[Process]				):



     """simple docstring"""
     _snake_case   	=      []
     for i in range(len(__lowerCamelCase				)				):
       turnaround_times.append(queue[i].turnaround_time				)
     return turnaround_times



   def    __UpperCAmelCase    (       self    :	Optional[int]							,       __lowerCamelCase    :	list[Process]				):



     """simple docstring"""
     _snake_case   	=      []
     for i in range(len(__lowerCamelCase				)				):
       completion_times.append(queue[i].stop_time				)
     return completion_times



   def    __UpperCAmelCase    (       self    :	List[str]							,       __lowerCamelCase    :	deque[Process]				):



     """simple docstring"""
     return [q.burst_time for q in queue]



   def    __UpperCAmelCase    (       self    :	List[Any]							,       __lowerCamelCase    :	Process				):



     """simple docstring"""
     process.waiting_time += self.current_time - process.stop_time
     return process.waiting_time



   def    __UpperCAmelCase    (       self    :	List[str]							,       __lowerCamelCase    :	deque[Process]				):



     """simple docstring"""
     _snake_case   	=      deque()  # sequence deque of finished process
     while len(__lowerCamelCase				) != 0:
       _snake_case   	=      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(__lowerCamelCase				)
       # update current time
       self.current_time += cp.burst_time
       # finish the process and set the process's burst-time 0
       _snake_case   	=      0
       # set the process's turnaround time because it is finished
       _snake_case   	=      self.current_time - cp.arrival_time
       # set the completion time
       _snake_case   	=      self.current_time
       # add the process to queue that has finished queue
       finished.append(__lowerCamelCase				)

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



   def    __UpperCAmelCase    (       self    :	Union[str, Any]							,       __lowerCamelCase    :	deque[Process]							,       __lowerCamelCase    :	int				):



     """simple docstring"""
     _snake_case   	=      deque()  # sequence deque of terminated process
     # just for 1 cycle and unfinished processes will go back to queue
     for _ in range(len(__lowerCamelCase				)				):
       _snake_case   	=      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(__lowerCamelCase				)
       # 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
         _snake_case   	=      self.current_time
         # locate the process behind the queue because it is not finished
         ready_queue.append(__lowerCamelCase				)
       else:
         # use CPU for remaining burst time
         self.current_time += cp.burst_time
         # set burst time 0 because the process is finished
         _snake_case   	=      0
         # set the finish time
         _snake_case   	=      self.current_time
         # update the process' turnaround time because it is finished
         _snake_case   	=      self.current_time - cp.arrival_time
         # add the process to queue that has finished queue
         finished.append(__lowerCamelCase				)

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





   def    __UpperCAmelCase    (       self    :	List[str]				):



     """simple docstring"""

     #  all queues except last one have round_robin algorithm
     for i in range(self.number_of_queues - 1				):
       _snake_case	,     _snake_case   	=      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

     snake_case   					=				Process('''P1''', 0, 5_3)
     snake_case   					=				Process('''P2''', 0, 1_7)
     snake_case   					=				Process('''P3''', 0, 6_8)
     snake_case   					=				Process('''P4''', 0, 2_4)
     snake_case   					=				3
     snake_case   					=				[1_7, 2_5]
     snake_case   					=				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])})

     snake_case   					=				Process('''P1''', 0, 5_3)
     snake_case   					=				Process('''P2''', 0, 1_7)
     snake_case   					=				Process('''P3''', 0, 6_8)
     snake_case   					=				Process('''P4''', 0, 2_4)
     snake_case   					=				3
     snake_case   					=				[1_7, 2_5]
     snake_case   					=				deque([Pa, Pa, Pa, Pa])
     snake_case   					=				MLFQ(number_of_queues, time_slices, queue, 0)
     snake_case   					=				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"""






from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tokenizers_available


snake_case   					=				{'''tokenization_herbert''': ['''HerbertTokenizer''']}

try:
     if not is_tokenizers_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     pass
else:
     snake_case   					=				['''HerbertTokenizerFast''']


if TYPE_CHECKING:
     from .tokenization_herbert import HerbertTokenizer

     try:
          if not is_tokenizers_available():
               raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
          pass
     else:
          from .tokenization_herbert_fast import HerbertTokenizerFast

else:
     import sys

     snake_case   					=				_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)





