


'''simple docstring'''







from collections import deque
class 	UpperCamelCase__					:



     """simple docstring"""






     def __init__( self      ,	snake_case__      ,	snake_case__      ,	snake_case__   ):

            '''simple docstring'''

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



     """simple docstring"""






     def __init__( self      ,	snake_case__      ,	snake_case__      ,	snake_case__      ,	snake_case__      ,	):

            '''simple docstring'''

            _lowerCAmelCase    :							List[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    :							List[str]   			=       queue
            # current time
            _lowerCAmelCase    :							str   			=       current_time
            # finished process is in this sequence queue
            _lowerCAmelCase    :							deque[Process]   			=       deque()




     def a	( self   ):

            '''simple docstring'''

            _lowerCAmelCase    :							Dict   			=       []
            for i in range(len(self.finish_queue   )   ):
                   sequence.append(self.finish_queue[i].process_name   )
            return sequence




     def a	( self      ,	snake_case__   ):

            '''simple docstring'''

            _lowerCAmelCase    :							Optional[int]   			=       []
            for i in range(len(snake_case__   )   ):
                   waiting_times.append(queue[i].waiting_time   )
            return waiting_times




     def a	( self      ,	snake_case__   ):

            '''simple docstring'''

            _lowerCAmelCase    :							Dict   			=       []
            for i in range(len(snake_case__   )   ):
                   turnaround_times.append(queue[i].turnaround_time   )
            return turnaround_times




     def a	( self      ,	snake_case__   ):

            '''simple docstring'''

            _lowerCAmelCase    :							Dict   			=       []
            for i in range(len(snake_case__   )   ):
                   completion_times.append(queue[i].stop_time   )
            return completion_times




     def a	( self      ,	snake_case__   ):

            '''simple docstring'''

            return [q.burst_time for q in queue]




     def a	( self      ,	snake_case__   ):

            '''simple docstring'''

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




     def a	( self      ,	snake_case__   ):

            '''simple docstring'''

            _lowerCAmelCase    :							deque[Process]   			=       deque()  # sequence deque of finished process
            while len(snake_case__   ) != 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(snake_case__   )
                   # update current time
                   self.current_time += cp.burst_time
                   # finish the process and set the process's burst-time 0
                   _lowerCAmelCase    :							Optional[int]   			=       0
                   # set the process's turnaround time because it is finished
                   _lowerCAmelCase    :							Optional[int]   			=       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(snake_case__   )

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




     def a	( self      ,	snake_case__      ,	snake_case__   ):

            '''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(snake_case__   )   ):
                   _lowerCAmelCase    :							Tuple   			=       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(snake_case__   )
                   # 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    :							List[str]   			=       self.current_time
                          # locate the process behind the queue because it is not finished
                          ready_queue.append(snake_case__   )
                   else:
                          # use CPU for remaining burst time
                          self.current_time += cp.burst_time
                          # set burst time 0 because the process is finished
                          _lowerCAmelCase    :							Dict   			=       0
                          # set the finish time
                          _lowerCAmelCase    :							Dict   			=       self.current_time
                          # update the process' turnaround time because it is finished
                          _lowerCAmelCase    :							Optional[int]   			=       self.current_time - cp.arrival_time
                          # add the process to queue that has finished queue
                          finished.append(snake_case__   )

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





     def a	( self   ):

            '''simple docstring'''

            for i in range(self.number_of_queues - 1   ):
                   _lowerCAmelCase    :							List[str]   			=       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

       lowerCAmelCase    :     int					=						Process("""P1""", 0, 53)
       lowerCAmelCase    :     Optional[Any]					=						Process("""P2""", 0, 17)
       lowerCAmelCase    :     Optional[Any]					=						Process("""P3""", 0, 68)
       lowerCAmelCase    :     Optional[int]					=						Process("""P4""", 0, 24)
       lowerCAmelCase    :     Dict					=						3
       lowerCAmelCase    :     str					=						[17, 25]
       lowerCAmelCase    :     Any					=						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])})

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


lowerCAmelCase    :     Optional[int]					=						{
    """configuration_mctct""": ["""MCTCT_PRETRAINED_CONFIG_ARCHIVE_MAP""", """MCTCTConfig"""],
    """feature_extraction_mctct""": ["""MCTCTFeatureExtractor"""],
    """processing_mctct""": ["""MCTCTProcessor"""],
}


try:
       if not is_torch_available():
              raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
       pass
else:
       lowerCAmelCase    :     List[str]					=						[
           """MCTCT_PRETRAINED_MODEL_ARCHIVE_LIST""",
           """MCTCTForCTC""",
           """MCTCTModel""",
           """MCTCTPreTrainedModel""",
       ]


if TYPE_CHECKING:
       from .configuration_mctct import MCTCT_PRETRAINED_CONFIG_ARCHIVE_MAP, MCTCTConfig
       from .feature_extraction_mctct import MCTCTFeatureExtractor
       from .processing_mctct import MCTCTProcessor

       try:
              if not is_torch_available():
                     raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
              pass
       else:
              from .modeling_mctct import MCTCT_PRETRAINED_MODEL_ARCHIVE_LIST, MCTCTForCTC, MCTCTModel, MCTCTPreTrainedModel

else:
       import sys

       lowerCAmelCase    :     Tuple					=						_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)

