





'''simple docstring'''


from collections import deque






class     lowerCAmelCase__ :

       '''simple docstring'''

       def __init__( self					:				List[Any]       ,     a__					:				str       ,     a__					:				int       ,     a__					:				int						):
              UpperCAmelCase  =						process_name  # process name
              UpperCAmelCase  =						arrival_time  # arrival time of the process
              # completion time of finished process or last interrupted time
              UpperCAmelCase  =						arrival_time
              UpperCAmelCase  =						burst_time  # remaining burst time
              UpperCAmelCase  =						0  # total time of the process wait in ready queue
              UpperCAmelCase  =						0  # time from arrival time to completion time






class     lowerCAmelCase__ :

       '''simple docstring'''

       def __init__( self					:				Tuple       ,     a__					:				int       ,     a__					:				list[int]       ,     a__					:				deque[Process]       ,     a__					:				int       ,     ):
              # total number of mlfq's queues
              UpperCAmelCase  =						number_of_queues
              # time slice of queues that round robin algorithm applied
              UpperCAmelCase  =						time_slices
              # unfinished process is in this ready_queue
              UpperCAmelCase  =						queue
              # current time
              UpperCAmelCase  =						current_time
              # finished process is in this sequence queue
              UpperCAmelCase  =						deque()

       def 			__snake_case      ( self					:				Union[str, Any]						):
              UpperCAmelCase  =						[]
              for i in range(len(self.finish_queue						)						):
                     sequence.append(self.finish_queue[i].process_name						)
              return sequence

       def 			__snake_case      ( self					:				Any       ,     a__					:				list[Process]						):
              UpperCAmelCase  =						[]
              for i in range(len(a__						)						):
                     waiting_times.append(queue[i].waiting_time						)
              return waiting_times

       def 			__snake_case      ( self					:				Any       ,     a__					:				list[Process]						):
              UpperCAmelCase  =						[]
              for i in range(len(a__						)						):
                     turnaround_times.append(queue[i].turnaround_time						)
              return turnaround_times

       def 			__snake_case      ( self					:				Optional[int]       ,     a__					:				list[Process]						):
              UpperCAmelCase  =						[]
              for i in range(len(a__						)						):
                     completion_times.append(queue[i].stop_time						)
              return completion_times

       def 			__snake_case      ( self					:				List[Any]       ,     a__					:				deque[Process]						):
              return [q.burst_time for q in queue]

       def 			__snake_case      ( self					:				Optional[int]       ,     a__					:				Process						):
              process.waiting_time += self.current_time - process.stop_time
              return process.waiting_time

       def 			__snake_case      ( self					:				Union[str, Any]       ,     a__					:				deque[Process]						):
              UpperCAmelCase  =						deque()  # sequence deque of finished process
              while len(a__						) != 0:
                     UpperCAmelCase  =						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
                     UpperCAmelCase  =						0
                     # set the process's turnaround time because it is finished
                     UpperCAmelCase  =						self.current_time - cp.arrival_time
                     # set the completion time
                     UpperCAmelCase  =						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 			__snake_case      ( self					:				Dict       ,     a__					:				deque[Process]       ,     a__					:				int						):
              UpperCAmelCase  =						deque()  # sequence deque of terminated process
              # just for 1 cycle and unfinished processes will go back to queue
              for _ in range(len(a__						)						):
                     UpperCAmelCase  =						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
                            UpperCAmelCase  =						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
                            UpperCAmelCase  =						0
                            # set the finish time
                            UpperCAmelCase  =						self.current_time
                            # update the process' turnaround time because it is finished
                            UpperCAmelCase  =						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 			__snake_case      ( self					:				Union[str, Any]						):

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

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

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





a_      =     frozenset(
    [
        'prompt',
        'height',
        'width',
        'guidance_scale',
        'negative_prompt',
        'prompt_embeds',
        'negative_prompt_embeds',
        'cross_attention_kwargs',
    ]
)

a_      =     frozenset(['prompt', 'negative_prompt'])

a_      =     frozenset([])

a_      =     frozenset(['image'])

a_      =     frozenset(
    [
        'image',
        'height',
        'width',
        'guidance_scale',
    ]
)

a_      =     frozenset(['image'])

a_      =     frozenset(
    [
        'prompt',
        'image',
        'height',
        'width',
        'guidance_scale',
        'negative_prompt',
        'prompt_embeds',
        'negative_prompt_embeds',
    ]
)

a_      =     frozenset(['prompt', 'image', 'negative_prompt'])

a_      =     frozenset(
    [
        # Text guided image variation with an image mask
        'prompt',
        'image',
        'mask_image',
        'height',
        'width',
        'guidance_scale',
        'negative_prompt',
        'prompt_embeds',
        'negative_prompt_embeds',
    ]
)

a_      =     frozenset(['prompt', 'image', 'mask_image', 'negative_prompt'])

a_      =     frozenset(
    [
        # image variation with an image mask
        'image',
        'mask_image',
        'height',
        'width',
        'guidance_scale',
    ]
)

a_      =     frozenset(['image', 'mask_image'])

a_      =     frozenset(
    [
        'example_image',
        'image',
        'mask_image',
        'height',
        'width',
        'guidance_scale',
    ]
)

a_      =     frozenset(['example_image', 'image', 'mask_image'])

a_      =     frozenset(['class_labels'])

a_      =     frozenset(['class_labels'])

a_      =     frozenset(['batch_size'])

a_      =     frozenset([])

a_      =     frozenset(['batch_size'])

a_      =     frozenset([])

a_      =     frozenset(
    [
        'prompt',
        'audio_length_in_s',
        'guidance_scale',
        'negative_prompt',
        'prompt_embeds',
        'negative_prompt_embeds',
        'cross_attention_kwargs',
    ]
)

a_      =     frozenset(['prompt', 'negative_prompt'])
a_      =     frozenset(['input_tokens'])

a_      =     frozenset(['input_tokens'])