
"""simple docstring"""





from collections import deque



class __lowerCAmelCase				:




			"""simple docstring"""







			def __init__(				self						:					Optional[Any]       ,   _snake_case						:					str       ,   _snake_case						:					int       ,   _snake_case						:					int	)      -> None:







								"""simple docstring"""
								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 __lowerCAmelCase				:




			"""simple docstring"""







			def __init__(				self						:					str       ,   _snake_case						:					int       ,   _snake_case						:					list[int]       ,   _snake_case						:					deque[Process]       ,   _snake_case						:					int       ,   )      -> None:







								"""simple docstring"""
								# 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      lowerCamelCase__     (				self						:					List[str]	)      -> list[str]:







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




			def      lowerCamelCase__     (				self						:					str       ,   _snake_case						:					list[Process]	)      -> list[int]:







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




			def      lowerCamelCase__     (				self						:					Tuple       ,   _snake_case						:					list[Process]	)      -> list[int]:







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




			def      lowerCamelCase__     (				self						:					Tuple       ,   _snake_case						:					list[Process]	)      -> list[int]:







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




			def      lowerCamelCase__     (				self						:					Optional[int]       ,   _snake_case						:					deque[Process]	)      -> list[int]:







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




			def      lowerCamelCase__     (				self						:					int       ,   _snake_case						:					Process	)      -> int:







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




			def      lowerCamelCase__     (				self						:					Dict       ,   _snake_case						:					deque[Process]	)      -> deque[Process]:







								"""simple docstring"""
								A_				 =						deque()  # sequence deque of finished process
								while len(_snake_case	) != 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(_snake_case	)
													# 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(_snake_case	)

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




			def      lowerCamelCase__     (				self						:					List[str]       ,   _snake_case						:					deque[Process]       ,   _snake_case						:					int	)      -> tuple[deque[Process], deque[Process]]:







								"""simple docstring"""
								A_				 =						deque()  # sequence deque of terminated process
								# just for 1 cycle and unfinished processes will go back to queue
								for _ in range(len(_snake_case	)	):
													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(_snake_case	)
													# 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(_snake_case	)
													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(_snake_case	)

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






			def      lowerCamelCase__     (				self						:					Any	)      -> deque[Process]:







								"""simple docstring"""

								#  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

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

		UpperCamelCase_					:						str				= Process('''P1''', 0, 53)
		UpperCamelCase_					:						Dict				= Process('''P2''', 0, 17)
		UpperCamelCase_					:						List[Any]				= Process('''P3''', 0, 68)
		UpperCamelCase_					:						int				= Process('''P4''', 0, 24)
		UpperCamelCase_					:						Dict				= 3
		UpperCamelCase_					:						str				= [17, 25]
		UpperCamelCase_					:						Optional[int]				= deque([Pa, Pa, Pa, Pa])
		UpperCamelCase_					:						str				= MLFQ(number_of_queues, time_slices, queue, 0)
		UpperCamelCase_					:						int				= 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.transfo_xl.tokenization_transfo_xl import VOCAB_FILES_NAMES, TransfoXLTokenizer

from ...test_tokenization_common import TokenizerTesterMixin



class __lowerCAmelCase				(					_lowercase     ,				unittest.TestCase      ):




			"""simple docstring"""







			snake_case	      =				TransfoXLTokenizer
			snake_case	      =				False
			snake_case	      =				False




			def      lowerCamelCase__     (				self						:					Optional[int]	)      -> Optional[int]:







								"""simple docstring"""
								super().setUp()

								A_				 =						[
								    "<unk>",
								    "[CLS]",
								    "[SEP]",
								    "want",
								    "unwanted",
								    "wa",
								    "un",
								    "running",
								    ",",
								    "low",
								    "l",
								]
								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]	)	)




			def      lowerCamelCase__     (				self						:					str       ,   **_snake_case						:					Any	)      -> Optional[Any]:







								"""simple docstring"""
								A_				 =						True
								return TransfoXLTokenizer.from_pretrained(self.tmpdirname       ,   **_snake_case	)




			def      lowerCamelCase__     (				self						:					int       ,   _snake_case						:					Optional[Any]	)      -> Any:







								"""simple docstring"""
								A_				 =						"<unk> UNwanted , running"
								A_				 =						"<unk> unwanted, running"
								return input_text, output_text




			def      lowerCamelCase__     (				self						:					Dict	)      -> int:







								"""simple docstring"""
								A_				 =						TransfoXLTokenizer(vocab_file=self.vocab_file       ,   lower_case=_snake_case	)

								A_				 =						tokenizer.tokenize("<unk> UNwanted , running"	)
								self.assertListEqual(_snake_case       ,   ["<unk>", "unwanted", ",", "running"]	)

								self.assertListEqual(tokenizer.convert_tokens_to_ids(_snake_case	)       ,   [0, 4, 8, 7]	)




			def      lowerCamelCase__     (				self						:					List[str]	)      -> int:







								"""simple docstring"""
								A_				 =						TransfoXLTokenizer(lower_case=_snake_case	)

								self.assertListEqual(
								    tokenizer.tokenize(" \tHeLLo ! how  \n Are yoU ?  "	)       ,   ["hello", "!", "how", "are", "you", "?"]	)




			def      lowerCamelCase__     (				self						:					Union[str, Any]	)      -> str:







								"""simple docstring"""
								A_				 =						TransfoXLTokenizer(lower_case=_snake_case	)

								self.assertListEqual(
								    tokenizer.tokenize(" \tHeLLo ! how  \n Are yoU ?  "	)       ,   ["HeLLo", "!", "how", "Are", "yoU", "?"]	)




			def      lowerCamelCase__     (				self						:					Dict	)      -> Tuple:







								"""simple docstring"""
								A_				 =						TransfoXLTokenizer(lower_case=_snake_case	)
								A_				 =						"Hello (bracket) and side-scrolled [and] Henry's $5,000 with 3.34 m. What's up!?"
								A_				 =						[
								    "Hello",
								    "(",
								    "bracket",
								    ")",
								    "and",
								    "side",
								    "@-@",
								    "scrolled",
								    "[",
								    "and",
								    "]",
								    "Henry",
								    "'s",
								    "$",
								    "5",
								    "@,@",
								    "000",
								    "with",
								    "3",
								    "@.@",
								    "34",
								    "m",
								    ".",
								    "What",
								    "'s",
								    "up",
								    "!",
								    "?",
								]

								self.assertListEqual(tokenizer.tokenize(_snake_case	)       ,   _snake_case	)

								self.assertEqual(tokenizer.convert_tokens_to_string(_snake_case	)       ,   _snake_case	)






			def      lowerCamelCase__     (				self						:					List[Any]	)      -> Optional[Any]:







								"""simple docstring"""
								A_				 =						self.get_tokenizer()
								A_				 =						len(_snake_case	)

								tokenizer.add_tokens(["new1", "new2"]	)
								tokenizer.move_added_token("new1"       ,   1	)

								# Check that moved token is not copied (duplicate)
								self.assertEqual(len(_snake_case	)       ,   original_len + 2	)
								# Check that token is moved to specified id
								self.assertEqual(tokenizer.encode("new1"	)       ,   [1]	)
								self.assertEqual(tokenizer.decode([1]	)       ,   "new1"	)




