




from collections import deque




class 					snake_case__							:
				"""simple docstring"""



				def __init__(   self       :  Union[str, Any]      ,   __lowerCamelCase       :  str      ,   __lowerCamelCase       :  int      ,   __lowerCamelCase       :  int							)      ->  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 					snake_case__							:
				"""simple docstring"""



				def __init__(   self       :  int      ,   __lowerCamelCase       :  int      ,   __lowerCamelCase       :  list[int]      ,   __lowerCamelCase       :  deque[Process]      ,   __lowerCamelCase       :  int      ,   )      ->  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 							__UpperCAmelCase							(   self       :  Optional[Any]							)      ->  list[str]:
							a					=    []
							for i in range(len(self.finish_queue							)							):
										sequence.append(self.finish_queue[i].process_name							)
							return sequence





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





				def 							__UpperCAmelCase							(   self       :  List[str]      ,   __lowerCamelCase       :  list[Process]							)      ->  list[int]:
							a					=    []
							for i in range(len(__lowerCamelCase							)							):
										turnaround_times.append(queue[i].turnaround_time							)
							return turnaround_times





				def 							__UpperCAmelCase							(   self       :  Union[str, Any]      ,   __lowerCamelCase       :  list[Process]							)      ->  list[int]:
							a					=    []
							for i in range(len(__lowerCamelCase							)							):
										completion_times.append(queue[i].stop_time							)
							return completion_times





				def 							__UpperCAmelCase							(   self       :  List[Any]      ,   __lowerCamelCase       :  deque[Process]							)      ->  list[int]:
							return [q.burst_time for q in queue]





				def 							__UpperCAmelCase							(   self       :  List[str]      ,   __lowerCamelCase       :  Process							)      ->  int:
							process.waiting_time += self.current_time - process.stop_time
							return process.waiting_time





				def 							__UpperCAmelCase							(   self       :  Tuple      ,   __lowerCamelCase       :  deque[Process]							)      ->  deque[Process]:
							a					=    deque()  # sequence deque of finished process
							while len(__lowerCamelCase							) != 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(__lowerCamelCase							)
										# 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(__lowerCamelCase							)

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





				def 							__UpperCAmelCase							(   self       :  Dict      ,   __lowerCamelCase       :  deque[Process]      ,   __lowerCamelCase       :  int							)      ->  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(__lowerCamelCase							)							):
										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(__lowerCamelCase							)
										# 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(__lowerCamelCase							)
										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(__lowerCamelCase							)

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





				def 							__UpperCAmelCase							(   self       :  List[Any]							)      ->  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	:       List[str]     =	Process('P1', 0, 53)
		__lowerCAmelCase	:       int     =	Process('P2', 0, 17)
		__lowerCAmelCase	:       Tuple     =	Process('P3', 0, 68)
		__lowerCAmelCase	:       Dict     =	Process('P4', 0, 24)
		__lowerCAmelCase	:       Tuple     =	3
		__lowerCAmelCase	:       List[str]     =	[17, 25]
		__lowerCAmelCase	:       List[Any]     =	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	:       Any     =	Process('P1', 0, 53)
		__lowerCAmelCase	:       Tuple     =	Process('P2', 0, 17)
		__lowerCAmelCase	:       List[Any]     =	Process('P3', 0, 68)
		__lowerCAmelCase	:       Dict     =	Process('P4', 0, 24)
		__lowerCAmelCase	:       Optional[int]     =	3
		__lowerCAmelCase	:       Union[str, Any]     =	[17, 25]
		__lowerCAmelCase	:       Optional[int]     =	deque([Pa, Pa, Pa, Pa])
		__lowerCAmelCase	:       int     =	MLFQ(number_of_queues, time_slices, queue, 0)
		__lowerCAmelCase	:       Optional[Any]     =	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 multiprocessing
import time

from arguments import PretokenizationArguments
from datasets import load_dataset

from transformers import AutoTokenizer, HfArgumentParser




def     __magic_name__       (				A	:      List[str]     ):






			'''simple docstring'''







			a					=    {}
			a					=    tokenizer(example["content"],						truncation=A     )["input_ids"]
			a					=    len(example["content"]     ) / len(output["input_ids"]     )
			return output


__lowerCAmelCase	:       Dict     =	HfArgumentParser(PretokenizationArguments)
__lowerCAmelCase	:       str     =	parser.parse_args()
if args.num_workers is None:
		__lowerCAmelCase	:       List[Any]     =	multiprocessing.cpu_count()
__lowerCAmelCase	:       str     =	AutoTokenizer.from_pretrained(args.tokenizer_dir)

__lowerCAmelCase	:       List[Any]     =	time.time()
__lowerCAmelCase	:       str     =	load_dataset(args.dataset_name, split='train')
print(F'''Dataset loaded in {time.time()-t_start:.2f}s''')

__lowerCAmelCase	:       int     =	time.time()
__lowerCAmelCase	:       Optional[int]     =	ds.map(
    tokenize,
    num_proc=args.num_workers,
    remove_columns=[
        'repo_name',
        'path',
        'copies',
        'size',
        'content',
        'license',
        'hash',
        'line_mean',
        'line_max',
        'alpha_frac',
        'autogenerated',
    ],
)
print(F'''Dataset tokenized in {time.time()-t_start:.2f}s''')

__lowerCAmelCase	:       Tuple     =	time.time()
ds.push_to_hub(args.tokenized_data_repo)






print(F'''Data pushed to the hub in {time.time()-t_start:.2f}s''')






