





from collections import deque


class 						lowerCamelCase       :







							"""simple docstring"""




							def __init__( self     :					int,			_UpperCAmelCase     :					str,			_UpperCAmelCase     :					int,			_UpperCAmelCase     :					int						)				->			None:





														"""simple docstring"""
														SCREAMING_SNAKE_CASE__       :      List[Any]     =						process_name  # process name
														SCREAMING_SNAKE_CASE__       :      List[Any]     =						arrival_time  # arrival time of the process
														# completion time of finished process or last interrupted time
														SCREAMING_SNAKE_CASE__       :      str     =						arrival_time
														SCREAMING_SNAKE_CASE__       :      Dict     =						burst_time  # remaining burst time
														SCREAMING_SNAKE_CASE__       :      List[Any]     =						0  # total time of the process wait in ready queue
														SCREAMING_SNAKE_CASE__       :      List[str]     =						0  # time from arrival time to completion time


class 						lowerCamelCase       :







							"""simple docstring"""




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





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






							def  A_     ( self     :					List[str]						)				->			list[str]:





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






							def  A_     ( self     :					Optional[Any],			_UpperCAmelCase     :					list[Process]						)				->			list[int]:





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






							def  A_     ( self     :					Tuple,			_UpperCAmelCase     :					list[Process]						)				->			list[int]:





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






							def  A_     ( self     :					Tuple,			_UpperCAmelCase     :					list[Process]						)				->			list[int]:





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






							def  A_     ( self     :					Tuple,			_UpperCAmelCase     :					deque[Process]						)				->			list[int]:





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






							def  A_     ( self     :					Dict,			_UpperCAmelCase     :					Process						)				->			int:





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






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





														"""simple docstring"""
														SCREAMING_SNAKE_CASE__       :      deque[Process]     =						deque()  # sequence deque of finished process
														while len(_UpperCAmelCase						) != 0:
																					SCREAMING_SNAKE_CASE__       :      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(_UpperCAmelCase						)
																					# update current time
																					self.current_time += cp.burst_time
																					# finish the process and set the process's burst-time 0
																					SCREAMING_SNAKE_CASE__       :      Any     =						0
																					# set the process's turnaround time because it is finished
																					SCREAMING_SNAKE_CASE__       :      str     =						self.current_time - cp.arrival_time
																					# set the completion time
																					SCREAMING_SNAKE_CASE__       :      List[str]     =						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  A_     ( self     :					List[str],			_UpperCAmelCase     :					deque[Process],			_UpperCAmelCase     :					int						)				->			tuple[deque[Process], deque[Process]]:





														"""simple docstring"""
														SCREAMING_SNAKE_CASE__       :      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						)						):
																					SCREAMING_SNAKE_CASE__       :      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 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
																												SCREAMING_SNAKE_CASE__       :      Tuple     =						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
																												SCREAMING_SNAKE_CASE__       :      Dict     =						0
																												# set the finish time
																												SCREAMING_SNAKE_CASE__       :      Union[str, Any]     =						self.current_time
																												# update the process' turnaround time because it is finished
																												SCREAMING_SNAKE_CASE__       :      int     =						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  A_     ( self     :					Optional[Any]						)				->			deque[Process]:





														"""simple docstring"""

														#  all queues except last one have round_robin algorithm
														for i in range(self.number_of_queues - 1						):
																					SCREAMING_SNAKE_CASE__       :      Dict     =						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 :    Tuple    							= Process('''P1''', 0, 5_3)
		_lowerCamelCase :    Optional[int]    							= Process('''P2''', 0, 1_7)
		_lowerCamelCase :    Any    							= Process('''P3''', 0, 6_8)
		_lowerCamelCase :    int    							= Process('''P4''', 0, 2_4)
		_lowerCamelCase :    Tuple    							= 3
		_lowerCamelCase :    List[Any]    							= [1_7, 2_5]
		_lowerCamelCase :    Optional[int]    							= 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 :    Union[str, Any]    							= Process('''P1''', 0, 5_3)
		_lowerCamelCase :    List[str]    							= Process('''P2''', 0, 1_7)
		_lowerCamelCase :    int    							= Process('''P3''', 0, 6_8)
		_lowerCamelCase :    Optional[int]    							= Process('''P4''', 0, 2_4)
		_lowerCamelCase :    Optional[int]    							= 3
		_lowerCamelCase :    int    							= [1_7, 2_5]
		_lowerCamelCase :    Any    							= deque([Pa, Pa, Pa, Pa])
		_lowerCamelCase :    str    							= MLFQ(number_of_queues, time_slices, queue, 0)
		_lowerCamelCase :    Dict    							= 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 pytest

from datasets.splits import SplitDict, SplitInfo
from datasets.utils.py_utils import asdict




@pytest.mark.parametrize(
    "split_dict"			,				[
        SplitDict(),
        SplitDict({"train": SplitInfo(name="train"			,				num_bytes=13_37			,				num_examples=42			,				dataset_name="my_dataset"       )}       ),
        SplitDict({"train": SplitInfo(name="train"			,				num_bytes=13_37			,				num_examples=42       )}       ),
        SplitDict({"train": SplitInfo()}       ),
    ]			,				)
def _a (  SCREAMING_SNAKE_CASE__      :  SplitDict       )	->    str:

							'''simple docstring'''






							SCREAMING_SNAKE_CASE__       :      Dict     =						split_dict._to_yaml_list()
							assert len(SCREAMING_SNAKE_CASE__       ) == len(SCREAMING_SNAKE_CASE__       )
							SCREAMING_SNAKE_CASE__       :      List[Any]     =						SplitDict._from_yaml_list(SCREAMING_SNAKE_CASE__       )
							for split_name, split_info in split_dict.items():
														# dataset_name field is deprecated, and is therefore not part of the YAML dump
														SCREAMING_SNAKE_CASE__       :      str     =						None
														# the split name of split_dict takes over the name of the split info object
														SCREAMING_SNAKE_CASE__       :      Union[str, Any]     =						split_name
							assert split_dict == reloaded







@pytest.mark.parametrize(
    "split_info"			,				[SplitInfo(), SplitInfo(dataset_name=SCREAMING_SNAKE_CASE__       ), SplitInfo(dataset_name="my_dataset"       )]       )
def _a (  SCREAMING_SNAKE_CASE__      :  Any       )	->    Dict:

							'''simple docstring'''






							SCREAMING_SNAKE_CASE__       :      str     =						asdict(SplitDict({"train": split_info}       )       )
							assert "dataset_name" in split_dict_asdict["train"]
							assert split_dict_asdict["train"]["dataset_name"] == split_info.dataset_name






