


from collections import deque




class A    :






      def __init__(   self		:	Tuple     ,  lowercase_		:	str     ,  lowercase_		:	int     ,  lowercase_		:	int					)   ->		None:
             """simple docstring"""




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




class A    :






      def __init__(   self		:	List[Any]     ,  lowercase_		:	int     ,  lowercase_		:	list[int]     ,  lowercase_		:	deque[Process]     ,  lowercase_		:	int     ,  )   ->		None:
             """simple docstring"""




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






      def 			lowerCamelCase			(   self		:	List[Any]					)   ->		list[str]:
             """simple docstring"""




             _lowerCamelCase			:						List[Any]            =[]
             for i in range(len(self.finish_queue					)					):
                    sequence.append(self.finish_queue[i].process_name					)
             return sequence






      def 			lowerCamelCase			(   self		:	List[str]     ,  lowercase_		:	list[Process]					)   ->		list[int]:
             """simple docstring"""




             _lowerCamelCase			:						int            =[]
             for i in range(len(lowercase_					)					):
                    waiting_times.append(queue[i].waiting_time					)
             return waiting_times






      def 			lowerCamelCase			(   self		:	Union[str, Any]     ,  lowercase_		:	list[Process]					)   ->		list[int]:
             """simple docstring"""




             _lowerCamelCase			:						Tuple            =[]
             for i in range(len(lowercase_					)					):
                    turnaround_times.append(queue[i].turnaround_time					)
             return turnaround_times






      def 			lowerCamelCase			(   self		:	List[Any]     ,  lowercase_		:	list[Process]					)   ->		list[int]:
             """simple docstring"""




             _lowerCamelCase			:						str            =[]
             for i in range(len(lowercase_					)					):
                    completion_times.append(queue[i].stop_time					)
             return completion_times






      def 			lowerCamelCase			(   self		:	List[str]     ,  lowercase_		:	deque[Process]					)   ->		list[int]:
             """simple docstring"""




             return [q.burst_time for q in queue]






      def 			lowerCamelCase			(   self		:	Tuple     ,  lowercase_		:	Process					)   ->		int:
             """simple docstring"""




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






      def 			lowerCamelCase			(   self		:	Optional[int]     ,  lowercase_		:	deque[Process]					)   ->		deque[Process]:
             """simple docstring"""




             _lowerCamelCase			:						deque[Process]            =deque()  # sequence deque of finished process
             while len(lowercase_					) != 0:
                    _lowerCamelCase			:						Optional[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(lowercase_					)
                    # update current time
                    self.current_time += cp.burst_time
                    # finish the process and set the process's burst-time 0
                    _lowerCamelCase			:						int            =0
                    # set the process's turnaround time because it is finished
                    _lowerCamelCase			:						str            =self.current_time - cp.arrival_time
                    # set the completion time
                    _lowerCamelCase			:						List[str]            =self.current_time
                    # add the process to queue that has finished queue
                    finished.append(lowercase_					)

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






      def 			lowerCamelCase			(   self		:	Optional[Any]     ,  lowercase_		:	deque[Process]     ,  lowercase_		:	int					)   ->		tuple[deque[Process], deque[Process]]:
             """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(lowercase_					)					):
                    _lowerCamelCase			:						str            =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(lowercase_					)
                    # 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			:						Optional[int]            =self.current_time
                           # locate the process behind the queue because it is not finished
                           ready_queue.append(lowercase_					)
                    else:
                           # use CPU for remaining burst time
                           self.current_time += cp.burst_time
                           # set burst time 0 because the process is finished
                           _lowerCamelCase			:						str            =0
                           # set the finish time
                           _lowerCamelCase			:						int            =self.current_time
                           # update the process' turnaround time because it is finished
                           _lowerCamelCase			:						Any            =self.current_time - cp.arrival_time
                           # add the process to queue that has finished queue
                           finished.append(lowercase_					)

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






      def 			lowerCamelCase			(   self		:	Dict					)   ->		deque[Process]:
             """simple docstring"""




             for i in range(self.number_of_queues - 1					):
                    _lowerCamelCase      ,	_lowerCamelCase			:						Optional[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

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






import time
import unittest

from transformers import is_torch_available
from transformers.testing_utils import require_torch, torch_device

from ..test_modeling_common import ids_tensor


if is_torch_available():
 import torch

 from transformers.generation import (
     MaxLengthCriteria,
     MaxNewTokensCriteria,
     MaxTimeCriteria,
     StoppingCriteriaList,
     validate_stopping_criteria,
 )




@require_torch
class A    (  unittest.TestCase	):






      def 			lowerCamelCase			(   self		:	Optional[int]     ,  lowercase_		:	int					)   ->		Optional[int]:
             """simple docstring"""




             _lowerCamelCase			:						List[str]            =3
             _lowerCamelCase			:						Dict            =250

             _lowerCamelCase			:						Tuple            =ids_tensor((batch_size, length)     ,  lowercase_					)
             _lowerCamelCase			:						str            =torch.ones((batch_size, length)     ,  device=lowercase_     ,  dtype=torch.float					) / length
             return input_ids, scores






      def 			lowerCamelCase			(   self		:	Optional[int]					)   ->		Optional[Any]:
             """simple docstring"""




             _lowerCamelCase      ,	_lowerCamelCase			:						Optional[Any]            =self._get_tensors(5					)

             _lowerCamelCase			:						Dict            =StoppingCriteriaList(
                 [
                     MaxLengthCriteria(max_length=10					),
                     MaxTimeCriteria(max_time=0.1					),
                 ]					)

             self.assertFalse(criteria(lowercase_     ,  lowercase_					)					)

             _lowerCamelCase      ,	_lowerCamelCase			:						List[str]            =self._get_tensors(9					)
             self.assertFalse(criteria(lowercase_     ,  lowercase_					)					)

             _lowerCamelCase      ,	_lowerCamelCase			:						Optional[int]            =self._get_tensors(10					)
             self.assertTrue(criteria(lowercase_     ,  lowercase_					)					)






      def 			lowerCamelCase			(   self		:	Optional[int]					)   ->		Tuple:
             """simple docstring"""




             _lowerCamelCase			:						Any            =MaxLengthCriteria(max_length=10					)

             _lowerCamelCase      ,	_lowerCamelCase			:						List[str]            =self._get_tensors(5					)
             self.assertFalse(criteria(lowercase_     ,  lowercase_					)					)

             _lowerCamelCase      ,	_lowerCamelCase			:						Optional[int]            =self._get_tensors(9					)
             self.assertFalse(criteria(lowercase_     ,  lowercase_					)					)

             _lowerCamelCase      ,	_lowerCamelCase			:						Optional[int]            =self._get_tensors(10					)
             self.assertTrue(criteria(lowercase_     ,  lowercase_					)					)






      def 			lowerCamelCase			(   self		:	List[str]					)   ->		Tuple:
             """simple docstring"""




             _lowerCamelCase			:						Union[str, Any]            =MaxNewTokensCriteria(start_length=5     ,  max_new_tokens=5					)

             _lowerCamelCase      ,	_lowerCamelCase			:						str            =self._get_tensors(5					)
             self.assertFalse(criteria(lowercase_     ,  lowercase_					)					)

             _lowerCamelCase      ,	_lowerCamelCase			:						Union[str, Any]            =self._get_tensors(9					)
             self.assertFalse(criteria(lowercase_     ,  lowercase_					)					)

             _lowerCamelCase      ,	_lowerCamelCase			:						Dict            =self._get_tensors(10					)
             self.assertTrue(criteria(lowercase_     ,  lowercase_					)					)

             _lowerCamelCase			:						Optional[Any]            =StoppingCriteriaList([criteria]					)
             self.assertEqual(criteria_list.max_length     ,  10					)






      def 			lowerCamelCase			(   self		:	Optional[Any]					)   ->		str:
             """simple docstring"""




             _lowerCamelCase      ,	_lowerCamelCase			:						Optional[Any]            =self._get_tensors(5					)

             _lowerCamelCase			:						Tuple            =MaxTimeCriteria(max_time=0.1					)
             self.assertFalse(criteria(lowercase_     ,  lowercase_					)					)

             _lowerCamelCase			:						int            =MaxTimeCriteria(max_time=0.1     ,  initial_timestamp=time.time() - 0.2					)
             self.assertTrue(criteria(lowercase_     ,  lowercase_					)					)






      def 			lowerCamelCase			(   self		:	Optional[int]					)   ->		Optional[int]:
             """simple docstring"""




             validate_stopping_criteria(StoppingCriteriaList([MaxLengthCriteria(10					)]					)     ,  10					)

             with self.assertWarns(lowercase_					):
                    validate_stopping_criteria(StoppingCriteriaList([MaxLengthCriteria(10					)]					)     ,  11					)

             _lowerCamelCase			:						Optional[Any]            =validate_stopping_criteria(StoppingCriteriaList()     ,  11					)

             self.assertEqual(len(lowercase_					)     ,  1					)


