






from collections import deque


class 							__a							:





		'''simple docstring'''



		def __init__(						self ,    UpperCamelCase__ ,    UpperCamelCase__ ,    UpperCamelCase__       ):
						SCREAMING_SNAKE_CASE_   :	List[Any]													=   process_name  # process name
						SCREAMING_SNAKE_CASE_   :	int													=   arrival_time  # arrival time of the process
						# completion time of finished process or last interrupted time
						SCREAMING_SNAKE_CASE_   :	int													=   arrival_time
						SCREAMING_SNAKE_CASE_   :	int													=   burst_time  # remaining burst time
						SCREAMING_SNAKE_CASE_   :	Tuple													=   0  # total time of the process wait in ready queue
						SCREAMING_SNAKE_CASE_   :	Any													=   0  # time from arrival time to completion time






class 							__a							:





		'''simple docstring'''



		def __init__(						self ,    UpperCamelCase__ ,    UpperCamelCase__ ,    UpperCamelCase__ ,    UpperCamelCase__ ,    ):
						# total number of mlfq's queues
						SCREAMING_SNAKE_CASE_   :	List[Any]													=   number_of_queues
						# time slice of queues that round robin algorithm applied
						SCREAMING_SNAKE_CASE_   :	int													=   time_slices
						# unfinished process is in this ready_queue
						SCREAMING_SNAKE_CASE_   :	str													=   queue
						# current time
						SCREAMING_SNAKE_CASE_   :	Optional[Any]													=   current_time
						# finished process is in this sequence queue
						SCREAMING_SNAKE_CASE_   :	deque[Process]													=   deque()


		def   __snake_case			(						self       ):
						SCREAMING_SNAKE_CASE_   :	Union[str, Any]													=   []
						for i in range(len(self.finish_queue       )       ):
										sequence.append(self.finish_queue[i].process_name       )
						return sequence


		def   __snake_case			(						self ,    UpperCamelCase__       ):
						SCREAMING_SNAKE_CASE_   :	str													=   []
						for i in range(len(__snake_case       )       ):
										waiting_times.append(queue[i].waiting_time       )
						return waiting_times


		def   __snake_case			(						self ,    UpperCamelCase__       ):
						SCREAMING_SNAKE_CASE_   :	Optional[Any]													=   []
						for i in range(len(__snake_case       )       ):
										turnaround_times.append(queue[i].turnaround_time       )
						return turnaround_times


		def   __snake_case			(						self ,    UpperCamelCase__       ):
						SCREAMING_SNAKE_CASE_   :	List[str]													=   []
						for i in range(len(__snake_case       )       ):
										completion_times.append(queue[i].stop_time       )
						return completion_times


		def   __snake_case			(						self ,    UpperCamelCase__       ):
						return [q.burst_time for q in queue]


		def   __snake_case			(						self ,    UpperCamelCase__       ):
						process.waiting_time += self.current_time - process.stop_time
						return process.waiting_time


		def   __snake_case			(						self ,    UpperCamelCase__       ):
						SCREAMING_SNAKE_CASE_   :	deque[Process]													=   deque()  # sequence deque of finished process
						while len(__snake_case       ) != 0:
										SCREAMING_SNAKE_CASE_   :	Tuple													=   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
										SCREAMING_SNAKE_CASE_   :	Dict													=   0
										# set the process's turnaround time because it is finished
										SCREAMING_SNAKE_CASE_   :	Any													=   self.current_time - cp.arrival_time
										# set the completion time
										SCREAMING_SNAKE_CASE_   :	Dict													=   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   __snake_case			(						self ,    UpperCamelCase__ ,    UpperCamelCase__       ):
						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(__snake_case       )       ):
										SCREAMING_SNAKE_CASE_   :	List[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(__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
														SCREAMING_SNAKE_CASE_   :	List[Any]													=   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
														SCREAMING_SNAKE_CASE_   :	Optional[Any]													=   0
														# set the finish time
														SCREAMING_SNAKE_CASE_   :	Optional[int]													=   self.current_time
														# update the process' turnaround time because it is finished
														SCREAMING_SNAKE_CASE_   :	Tuple													=   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   __snake_case			(						self       ):

						#  all queues except last one have round_robin algorithm
						for i in range(self.number_of_queues - 1       ):
										SCREAMING_SNAKE_CASE_   :	Union[str, 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

				A        =			Process('P1', 0, 53)
				A        =			Process('P2', 0, 17)
				A        =			Process('P3', 0, 68)
				A        =			Process('P4', 0, 24)
				A        =			3
				A        =			[17, 25]
				A        =			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])})

				A        =			Process('P1', 0, 53)
				A        =			Process('P2', 0, 17)
				A        =			Process('P3', 0, 68)
				A        =			Process('P4', 0, 24)
				A        =			3
				A        =			[17, 25]
				A        =			deque([Pa, Pa, Pa, Pa])
				A        =			MLFQ(number_of_queues, time_slices, queue, 0)
				A        =			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 importlib
import inspect
import os
import re


# All paths are set with the intent you should run this script from the root of the repo with the command
# python utils/check_config_docstrings.py
A        =			'src/transformers'


# This is to make sure the transformers module imported is the one in the repo.
A        =			importlib.util.spec_from_file_location(
    'transformers',
    os.path.join(PATH_TO_TRANSFORMERS, '__init__.py'),
    submodule_search_locations=[PATH_TO_TRANSFORMERS],
)
A        =			spec.loader.load_module()

A        =			transformers.models.auto.configuration_auto.CONFIG_MAPPING

# Regex pattern used to find the checkpoint mentioned in the docstring of `config_class`.
# For example, `[bert-base-uncased](https://huggingface.co/bert-base-uncased)`
A        =			re.compile('\[(.+?)\]\((https://huggingface\.co/.+?)\)')


A        =			{
    'CLIPConfigMixin',
    'DecisionTransformerConfigMixin',
    'EncoderDecoderConfigMixin',
    'RagConfigMixin',
    'SpeechEncoderDecoderConfigMixin',
    'VisionEncoderDecoderConfigMixin',
    'VisionTextDualEncoderConfigMixin',
}



def 					_lowerCamelCase(			):





				'''simple docstring'''







				SCREAMING_SNAKE_CASE_   :	Optional[int]													=   []

				for config_class in list(CONFIG_MAPPING.values()      ):
								SCREAMING_SNAKE_CASE_   :	int													=   False

								# source code of `config_class`
								SCREAMING_SNAKE_CASE_   :	Union[str, Any]													=   inspect.getsource(lowerCAmelCase__      )
								SCREAMING_SNAKE_CASE_   :	List[Any]													=   _re_checkpoint.findall(lowerCAmelCase__      )

								for checkpoint in checkpoints:
												# Each `checkpoint` is a tuple of a checkpoint name and a checkpoint link.
												# For example, `('bert-base-uncased', 'https://huggingface.co/bert-base-uncased')`
												SCREAMING_SNAKE_CASE_							,       SCREAMING_SNAKE_CASE_   :	Tuple													=   checkpoint

												# verify the checkpoint name corresponds to the checkpoint link
												SCREAMING_SNAKE_CASE_   :	List[str]													=   F'''https://huggingface.co/{ckpt_name}'''
												if ckpt_link == ckpt_link_from_name:
																SCREAMING_SNAKE_CASE_   :	Optional[int]													=   True
																break

								SCREAMING_SNAKE_CASE_   :	Tuple													=   config_class.__name__
								if not checkpoint_found and name not in CONFIG_CLASSES_TO_IGNORE_FOR_DOCSTRING_CHECKPOINT_CHECK:
												configs_without_checkpoint.append(lowerCAmelCase__      )

				if len(lowerCAmelCase__      ) > 0:
								SCREAMING_SNAKE_CASE_   :	str													=   '\n'.join(sorted(lowerCAmelCase__      )      )
								raise ValueError(F'''The following configurations don\'t contain any valid checkpoint:\n{message}'''      )


if __name__ == "__main__":
				check_config_docstrings_have_checkpoints()