

from collections import deque



class  UpperCamelCase				:

     '''simple docstring'''

     def __init__(					self				,				A_				,				A_				,				A_						) ->				None:






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





class  UpperCamelCase				:

     '''simple docstring'''

     def __init__(					self				,				A_				,				A_				,				A_				,				A_				,				) ->				None:






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



     def 		UpperCamelCase_						(					self						) ->				list[str]:






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



     def 		UpperCamelCase_						(					self				,				A_						) ->				list[int]:






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



     def 		UpperCamelCase_						(					self				,				A_						) ->				list[int]:






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



     def 		UpperCamelCase_						(					self				,				A_						) ->				list[int]:






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



     def 		UpperCamelCase_						(					self				,				A_						) ->				list[int]:






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



     def 		UpperCamelCase_						(					self				,				A_						) ->				int:






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



     def 		UpperCamelCase_						(					self				,				A_						) ->				deque[Process]:






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

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



     def 		UpperCamelCase_						(					self				,				A_				,				A_						) ->				tuple[deque[Process], deque[Process]]:






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

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





     def 		UpperCamelCase_						(					self						) ->				deque[Process]:






           """simple docstring"""





           for i in range(self.number_of_queues - 1						):
                 _lowerCamelCase			    =				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, 53)
     snake_case__				= Process('P2', 0, 17)
     snake_case__				= Process('P3', 0, 68)
     snake_case__				= Process('P4', 0, 24)
     snake_case__				= 3
     snake_case__				= [17, 25]
     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, 53)
     snake_case__				= Process('P2', 0, 17)
     snake_case__				= Process('P3', 0, 68)
     snake_case__				= Process('P4', 0, 24)
     snake_case__				= 3
     snake_case__				= [17, 25]
     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()}'''
     )
from typing import TYPE_CHECKING

from ....utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


snake_case__				= {
    'configuration_trajectory_transformer': [
        'TRAJECTORY_TRANSFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP',
        'TrajectoryTransformerConfig',
    ],
}

try:
     if not is_torch_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     pass
else:
     snake_case__				= [
         'TRAJECTORY_TRANSFORMER_PRETRAINED_MODEL_ARCHIVE_LIST',
         'TrajectoryTransformerModel',
         'TrajectoryTransformerPreTrainedModel',
         'load_tf_weights_in_trajectory_transformer',
     ]


if TYPE_CHECKING:
     from .configuration_trajectory_transformer import (
         TRAJECTORY_TRANSFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP,
         TrajectoryTransformerConfig,
     )

     try:
          if not is_torch_available():
               raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
          pass
     else:
          from .modeling_trajectory_transformer import (
              TRAJECTORY_TRANSFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
              TrajectoryTransformerModel,
              TrajectoryTransformerPreTrainedModel,
              load_tf_weights_in_trajectory_transformer,
          )


else:
     import sys

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