





from __future__ import annotations

import json

import requests
from bsa import BeautifulSoup
from fake_useragent import UserAgent

A    :					Any =      {'''UserAgent''': UserAgent().random}







def    __lowerCamelCase					(							__a   :str    )		->				dict:






		"""simple docstring"""

		A__        =   script.contents[0]
		A__        =   json.loads(data[data.find("""{\"config\""""    ) : -1]    )
		return info["entry_data"]["ProfilePage"][0]["graphql"]["user"]


class   A			:
			'''simple docstring'''




			def __init__(			self   :    Tuple							,	__lowerCAmelCase   :    Union[str, Any]   )	->	Any:







					"""simple docstring"""






					A__        =   f'https://www.instagram.com/{username}/'
					A__        =   self.get_json()






			def    a_       (			self   :    Tuple   )	->	dict:







					"""simple docstring"""






					A__        =   requests.get(self.url							,	headers=__lowerCAmelCase   ).text
					A__        =   BeautifulSoup(__lowerCAmelCase							,	"""html.parser"""   ).find_all("""script"""   )
					try:
							return extract_user_profile(scripts[4]   )
					except (json.decoder.JSONDecodeError, KeyError):
							return extract_user_profile(scripts[3]   )






			def __repr__(			self   :    List[str]   )	->	str:







					"""simple docstring"""






					return f'{self.__class__.__name__}(\'{self.username}\')'






			def __str__(			self   :    Tuple   )	->	str:







					"""simple docstring"""






					return f'{self.fullname} ({self.username}) is {self.biography}'






			@property
			def    a_       (			self   :    Union[str, Any]   )	->	str:







					"""simple docstring"""






					return self.user_data["username"]






			@property
			def    a_       (			self   :    Dict   )	->	str:







					"""simple docstring"""






					return self.user_data["full_name"]






			@property
			def    a_       (			self   :    str   )	->	str:







					"""simple docstring"""






					return self.user_data["biography"]






			@property
			def    a_       (			self   :    Union[str, Any]   )	->	str:







					"""simple docstring"""






					return self.user_data["business_email"]






			@property
			def    a_       (			self   :    Optional[Any]   )	->	str:







					"""simple docstring"""






					return self.user_data["external_url"]






			@property
			def    a_       (			self   :    Optional[int]   )	->	int:







					"""simple docstring"""






					return self.user_data["edge_followed_by"]["count"]






			@property
			def    a_       (			self   :    List[str]   )	->	int:







					"""simple docstring"""






					return self.user_data["edge_follow"]["count"]






			@property
			def    a_       (			self   :    Tuple   )	->	int:







					"""simple docstring"""






					return self.user_data["edge_owner_to_timeline_media"]["count"]






			@property
			def    a_       (			self   :    Tuple   )	->	str:







					"""simple docstring"""






					return self.user_data["profile_pic_url_hd"]






			@property
			def    a_       (			self   :    Union[str, Any]   )	->	bool:







					"""simple docstring"""






					return self.user_data["is_verified"]







			@property
			def    a_       (			self   :    Any   )	->	bool:







					"""simple docstring"""






					return self.user_data["is_private"]







def    __lowerCamelCase					(							__a   :str = "github"    )		->				None:






		"""simple docstring"""

		import os

		if os.environ.get("""CI"""    ):
				return  # test failing on GitHub Actions
		A__        =   InstagramUser(__a    )
		assert instagram_user.user_data
		assert isinstance(instagram_user.user_data    ,     __a    )
		assert instagram_user.username == username
		if username != "github":
				return
		assert instagram_user.fullname == "GitHub"
		assert instagram_user.biography == "Built for developers."
		assert instagram_user.number_of_posts > 1_5_0
		assert instagram_user.number_of_followers > 1_2_0_0_0_0
		assert instagram_user.number_of_followings > 1_5
		assert instagram_user.email == "support@github.com"
		assert instagram_user.website == "https://github.com/readme"
		assert instagram_user.profile_picture_url.startswith("""https://instagram."""    )
		assert instagram_user.is_verified is True
		assert instagram_user.is_private is False


if __name__ == "__main__":
					import doctest

					doctest.testmod()
					A    :					Union[str, Any] =      InstagramUser('''github''')
					print(instagram_user)
					print(F'''{instagram_user.number_of_posts = }''')
					print(F'''{instagram_user.number_of_followers = }''')
					print(F'''{instagram_user.number_of_followings = }''')
					print(F'''{instagram_user.email = }''')
					print(F'''{instagram_user.website = }''')
					print(F'''{instagram_user.profile_picture_url = }''')
					print(F'''{instagram_user.is_verified = }''')
					print(F'''{instagram_user.is_private = }''')










from collections import deque


class   A			:
			'''simple docstring'''




			def __init__(			self   :    List[str]							,	__lowerCAmelCase   :    str							,	__lowerCAmelCase   :    int							,	__lowerCAmelCase   :    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   A			:
			'''simple docstring'''




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







					"""simple docstring"""






					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    a_       (			self   :    Dict   )	->	list[str]:







					"""simple docstring"""






					A__        =   []
					for i in range(len(self.finish_queue   )   ):
							sequence.append(self.finish_queue[i].process_name   )
					return sequence






			def    a_       (			self   :    Tuple							,	__lowerCAmelCase   :    list[Process]   )	->	list[int]:







					"""simple docstring"""






					A__        =   []
					for i in range(len(__lowerCAmelCase   )   ):
							waiting_times.append(queue[i].waiting_time   )
					return waiting_times






			def    a_       (			self   :    Optional[Any]							,	__lowerCAmelCase   :    list[Process]   )	->	list[int]:







					"""simple docstring"""






					A__        =   []
					for i in range(len(__lowerCAmelCase   )   ):
							turnaround_times.append(queue[i].turnaround_time   )
					return turnaround_times






			def    a_       (			self   :    Dict							,	__lowerCAmelCase   :    list[Process]   )	->	list[int]:







					"""simple docstring"""






					A__        =   []
					for i in range(len(__lowerCAmelCase   )   ):
							completion_times.append(queue[i].stop_time   )
					return completion_times






			def    a_       (			self   :    int							,	__lowerCAmelCase   :    deque[Process]   )	->	list[int]:







					"""simple docstring"""






					return [q.burst_time for q in queue]






			def    a_       (			self   :    Any							,	__lowerCAmelCase   :    Process   )	->	int:







					"""simple docstring"""






					process.waiting_time += self.current_time - process.stop_time
					return process.waiting_time






			def    a_       (			self   :    Union[str, Any]							,	__lowerCAmelCase   :    deque[Process]   )	->	deque[Process]:







					"""simple docstring"""






					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    a_       (			self   :    Optional[Any]							,	__lowerCAmelCase   :    deque[Process]							,	__lowerCAmelCase   :    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(__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    a_       (			self   :    List[Any]   )	->	deque[Process]:







					"""simple docstring"""






					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

					A    :					Union[str, Any] =      Process('''P1''', 0, 5_3)
					A    :					Optional[Any] =      Process('''P2''', 0, 1_7)
					A    :					Optional[int] =      Process('''P3''', 0, 6_8)
					A    :					int =      Process('''P4''', 0, 2_4)
					A    :					Any =      3
					A    :					List[Any] =      [1_7, 2_5]
					A    :					Optional[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])})

					A    :					Optional[Any] =      Process('''P1''', 0, 5_3)
					A    :					int =      Process('''P2''', 0, 1_7)
					A    :					Optional[int] =      Process('''P3''', 0, 6_8)
					A    :					Tuple =      Process('''P4''', 0, 2_4)
					A    :					Union[str, Any] =      3
					A    :					Optional[Any] =      [1_7, 2_5]
					A    :					Tuple =      deque([Pa, Pa, Pa, Pa])
					A    :					Optional[int] =      MLFQ(number_of_queues, time_slices, queue, 0)
					A    :					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()}'''
					)



