"""simple docstring"""




from collections import deque
class     UpperCamelCase__:





						def __init__(       self		,__UpperCAmelCase		,__UpperCAmelCase		,__UpperCAmelCase     )					->				None:
													A__	     =							process_name  # process name
													A__	     =							arrival_time  # arrival time of the process
													# completion time of finished process or last interrupted time
													A__	     =							arrival_time
													A__	     =							burst_time  # remaining burst time
													A__	     =							0  # total time of the process wait in ready queue
													A__	     =							0  # time from arrival time to completion time






class     UpperCamelCase__:





						def __init__(       self		,__UpperCAmelCase		,__UpperCAmelCase		,__UpperCAmelCase		,__UpperCAmelCase		,)					->				None:
													# total number of mlfq's queues
													A__	     =							number_of_queues
													# time slice of queues that round robin algorithm applied
													A__	     =							time_slices
													# unfinished process is in this ready_queue
													A__	     =							queue
													# current time
													A__	     =							current_time
													# finished process is in this sequence queue
													A__	     =							deque()





						def 				snake_case__	(       self     )					->				list[str]:
													A__	     =							[]
													for i in range(len(self.finish_queue     )     ):
																				sequence.append(self.finish_queue[i].process_name     )
													return sequence





						def 				snake_case__	(       self		,__UpperCAmelCase     )					->				list[int]:
													A__	     =							[]
													for i in range(len(__UpperCAmelCase     )     ):
																				waiting_times.append(queue[i].waiting_time     )
													return waiting_times





						def 				snake_case__	(       self		,__UpperCAmelCase     )					->				list[int]:
													A__	     =							[]
													for i in range(len(__UpperCAmelCase     )     ):
																				turnaround_times.append(queue[i].turnaround_time     )
													return turnaround_times





						def 				snake_case__	(       self		,__UpperCAmelCase     )					->				list[int]:
													A__	     =							[]
													for i in range(len(__UpperCAmelCase     )     ):
																				completion_times.append(queue[i].stop_time     )
													return completion_times





						def 				snake_case__	(       self		,__UpperCAmelCase     )					->				list[int]:
													return [q.burst_time for q in queue]





						def 				snake_case__	(       self		,__UpperCAmelCase     )					->				int:
													process.waiting_time += self.current_time - process.stop_time
													return process.waiting_time





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

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






"""simple docstring"""




import os
import unittest

from transformers.models.cpmant.tokenization_cpmant import VOCAB_FILES_NAMES, CpmAntTokenizer
from transformers.testing_utils import require_jieba, tooslow

from ...test_tokenization_common import TokenizerTesterMixin
@require_jieba
class     UpperCamelCase__(			__A		,						unittest.TestCase ):
						lowerCAmelCase__  :						Optional[int]													=		CpmAntTokenizer
						lowerCAmelCase__  :						List[str]													=		False





						def 				snake_case__	(       self     )					->				Dict:
													super().setUp()

													A__	     =							[
													    '<d>',
													    '</d>',
													    '<s>',
													    '</s>',
													    '</_>',
													    '<unk>',
													    '<pad>',
													    '</n>',
													    '我',
													    '是',
													    'C',
													    'P',
													    'M',
													    'A',
													    'n',
													    't',
													]
													A__	     =							os.path.join(self.tmpdirname		,VOCAB_FILES_NAMES['vocab_file']     )
													with open(self.vocab_file		,'w'		,encoding='utf-8'     ) as vocab_writer:
																				vocab_writer.write(''.join([x + '\n' for x in vocab_tokens]     )     )





						@tooslow
						def 				snake_case__	(       self     )					->				List[Any]:
													A__	     =							CpmAntTokenizer.from_pretrained('openbmb/cpm-ant-10b'     )
													A__	     =							'今天天气真好！'
													A__	     =							['今天', '天气', '真', '好', '！']
													A__	     =							tokenizer.tokenize(__UpperCAmelCase     )
													self.assertListEqual(__UpperCAmelCase		,__UpperCAmelCase     )
													A__	     =							'今天天气真好！'
													A__	     =							[tokenizer.bos_token] + tokens

													A__	     =							[6, 98_02, 1_49_62, 20_82, 8_31, 2_44]
													self.assertListEqual(tokenizer.convert_tokens_to_ids(__UpperCAmelCase     )		,__UpperCAmelCase     )

													A__	     =							tokenizer.decode(__UpperCAmelCase     )
													self.assertEqual(__UpperCAmelCase		,__UpperCAmelCase     )





