"""simple docstring"""





from collections import deque
class        _snake_case   :






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

class        _snake_case   :






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






						def 					lowerCamelCase__   (				self					:	str			):
													__lowerCamelCase    :						List[str]						      =   []
													for i in range(len(self.finish_queue			)			):
																				sequence.append(self.finish_queue[i].process_name			)
													return sequence






						def 					lowerCamelCase__   (				self					:	int							,    UpperCAmelCase					:	Tuple			):
													__lowerCamelCase    :						Union[str, Any]						      =   []
													for i in range(len(UpperCamelCase__			)			):
																				waiting_times.append(queue[i].waiting_time			)
													return waiting_times






						def 					lowerCamelCase__   (				self					:	Optional[int]							,    UpperCAmelCase					:	Dict			):
													__lowerCamelCase    :						Optional[Any]						      =   []
													for i in range(len(UpperCamelCase__			)			):
																				turnaround_times.append(queue[i].turnaround_time			)
													return turnaround_times






						def 					lowerCamelCase__   (				self					:	int							,    UpperCAmelCase					:	Any			):
													__lowerCamelCase    :						List[Any]						      =   []
													for i in range(len(UpperCamelCase__			)			):
																				completion_times.append(queue[i].stop_time			)
													return completion_times






						def 					lowerCamelCase__   (				self					:	Union[str, Any]							,    UpperCAmelCase					:	Dict			):
													return [q.burst_time for q in queue]






						def 					lowerCamelCase__   (				self					:	Optional[int]							,    UpperCAmelCase					:	Any			):
													process.waiting_time += self.current_time - process.stop_time
													return process.waiting_time






						def 					lowerCamelCase__   (				self					:	Tuple							,    UpperCAmelCase					:	Optional[int]			):
													__lowerCamelCase    :						deque[Process]						      =   deque()  # sequence deque of finished process
													while len(UpperCamelCase__			) != 0:
																				__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 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    :						List[str]						      =   0
																				# set the process's turnaround time because it is finished
																				__lowerCamelCase    :						Tuple						      =   self.current_time - cp.arrival_time
																				# set the completion time
																				__lowerCamelCase    :						Dict						      =   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 					lowerCamelCase__   (				self					:	Union[str, Any]							,    UpperCAmelCase					:	Dict							,    UpperCAmelCase					:	Optional[int]			):
													__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(UpperCamelCase__			)			):
																				__lowerCamelCase    :						Optional[int]						      =   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    :						Union[str, Any]						      =   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    :						Union[str, Any]						      =   0
																											# set the finish time
																											__lowerCamelCase    :						Tuple						      =   self.current_time
																											# update the process' turnaround time because it is finished
																											__lowerCamelCase    :						List[Any]						      =   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 					lowerCamelCase__   (				self					:	Tuple			):




													for i in range(self.number_of_queues - 1			):
																				__lowerCamelCase    :						Union[str, 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

				__A     = Process('''P1''', 0, 53)
				__A     = Process('''P2''', 0, 17)
				__A     = Process('''P3''', 0, 68)
				__A     = Process('''P4''', 0, 24)
				__A     = 3
				__A     = [17, 25]
				__A     = 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     = Process('''P1''', 0, 53)
				__A     = Process('''P2''', 0, 17)
				__A     = Process('''P3''', 0, 68)
				__A     = Process('''P4''', 0, 24)
				__A     = 3
				__A     = [17, 25]
				__A     = deque([Pa, Pa, Pa, Pa])
				__A     = MLFQ(number_of_queues, time_slices, queue, 0)
				__A     = 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 Dict

from .base import GenericTensor, Pipeline







class _lowerCAmelCase				(      snake_case_	):







   def  lowerCamelCase		(	self						,	UpperCamelCase__=None						,	UpperCamelCase__=None						,	UpperCamelCase__=None						,	**UpperCamelCase__						)	->		Union[str, Any]:

       '''simple docstring'''




       if tokenize_kwargs is None:
           snake_case    :      Optional[Any]      					=    {}

       if truncation is not None:
           if "truncation" in tokenize_kwargs:
               raise ValueError(
                   "truncation parameter defined twice (given as keyword argument as well as in tokenize_kwargs)"						)
           snake_case    :      List[str]      					=    truncation

       snake_case    :      Union[str, Any]      					=    tokenize_kwargs

       snake_case    :      List[Any]      					=    {}
       if return_tensors is not None:
           snake_case    :      Tuple      					=    return_tensors

       return preprocess_params, {}, postprocess_params







   def  lowerCamelCase		(	self						,	UpperCamelCase__						,	**UpperCamelCase__						)	->		Dict[str, GenericTensor]:

       '''simple docstring'''




       snake_case    :      List[Any]      					=    self.framework
       snake_case    :      str      					=    self.tokenizer(UpperCamelCase__						,	return_tensors=UpperCamelCase__						,	**UpperCamelCase__						)
       return model_inputs







   def  lowerCamelCase		(	self						,	UpperCamelCase__						)	->		Tuple:

       '''simple docstring'''




       snake_case    :      int      					=    self.model(**UpperCamelCase__						)
       return model_outputs







   def  lowerCamelCase		(	self						,	UpperCamelCase__						,	UpperCamelCase__=False						)	->		Union[str, Any]:

       '''simple docstring'''




       if return_tensors:
           return model_outputs[0]
       if self.framework == "pt":
           return model_outputs[0].tolist()
       elif self.framework == "tf":
           return model_outputs[0].numpy().tolist()







   def __call__(	self						,	*UpperCamelCase__						,	**UpperCamelCase__						)	->		Union[str, Any]:

       '''simple docstring'''




       return super().__call__(*UpperCamelCase__						,	**UpperCamelCase__						)





