



'''simple docstring'''

from collections import deque



class 		lowerCamelCase__      :




					'''simple docstring'''



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



						'''simple docstring'''





						_lowercase					:       Dict       =		process_name  # process name
						_lowercase					:       Dict       =		arrival_time  # arrival time of the process
						# completion time of finished process or last interrupted time
						_lowercase					:       Optional[Any]       =		arrival_time
						_lowercase					:       int       =		burst_time  # remaining burst time
						_lowercase					:       Optional[Any]       =		0  # total time of the process wait in ready queue
						_lowercase					:       Dict       =		0  # time from arrival time to completion time






class 		lowerCamelCase__      :




					'''simple docstring'''



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



						'''simple docstring'''





						_lowercase					:       List[str]       =		number_of_queues
						# time slice of queues that round robin algorithm applied
						_lowercase					:       Optional[Any]       =		time_slices
						# unfinished process is in this ready_queue
						_lowercase					:       List[str]       =		queue
						# current time
						_lowercase					:       List[Any]       =		current_time
						# finished process is in this sequence queue
						_lowercase					:       deque[Process]       =		deque()




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



						'''simple docstring'''





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




					def 						__UpperCAmelCase     (  self				:	Any     ,  UpperCamelCase_				:	list[Process]					)  ->       list[int]:



						'''simple docstring'''





						_lowercase					:       Optional[int]       =		[]
						for i in range(len(UpperCamelCase_					)					):
							waiting_times.append(queue[i].waiting_time					)
						return waiting_times




					def 						__UpperCAmelCase     (  self				:	List[Any]     ,  UpperCamelCase_				:	list[Process]					)  ->       list[int]:



						'''simple docstring'''





						_lowercase					:       Optional[Any]       =		[]
						for i in range(len(UpperCamelCase_					)					):
							turnaround_times.append(queue[i].turnaround_time					)
						return turnaround_times




					def 						__UpperCAmelCase     (  self				:	Optional[Any]     ,  UpperCamelCase_				:	list[Process]					)  ->       list[int]:



						'''simple docstring'''





						_lowercase					:       Optional[Any]       =		[]
						for i in range(len(UpperCamelCase_					)					):
							completion_times.append(queue[i].stop_time					)
						return completion_times




					def 						__UpperCAmelCase     (  self				:	Tuple     ,  UpperCamelCase_				:	deque[Process]					)  ->       list[int]:



						'''simple docstring'''





						return [q.burst_time for q in queue]




					def 						__UpperCAmelCase     (  self				:	Optional[Any]     ,  UpperCamelCase_				:	Process					)  ->       int:



						'''simple docstring'''





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




					def 						__UpperCAmelCase     (  self				:	List[Any]     ,  UpperCamelCase_				:	deque[Process]					)  ->       deque[Process]:



						'''simple docstring'''





						_lowercase					:       deque[Process]       =		deque()  # sequence deque of finished process
						while len(UpperCamelCase_					) != 0:
							_lowercase					:       Dict       =		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
							_lowercase					:       Any       =		0
							# set the process's turnaround time because it is finished
							_lowercase					:       Optional[Any]       =		self.current_time - cp.arrival_time
							# set the completion time
							_lowercase					:       Union[str, Any]       =		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 						__UpperCAmelCase     (  self				:	Optional[Any]     ,  UpperCamelCase_				:	deque[Process]     ,  UpperCamelCase_				:	int					)  ->       tuple[deque[Process], deque[Process]]:



						'''simple docstring'''





						_lowercase					:       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_					)					):
							_lowercase					:       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
								_lowercase					:       List[str]       =		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
								_lowercase					:       Dict       =		0
								# set the finish time
								_lowercase					:       Union[str, Any]       =		self.current_time
								# update the process' turnaround time because it is finished
								_lowercase					:       str       =		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 						__UpperCAmelCase     (  self				:	Optional[int]					)  ->       deque[Process]:



						'''simple docstring'''





						for i in range(self.number_of_queues - 1					):
							_lowercase  ,    _lowercase					:       List[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				:    Any     						=Process('''P1''', 0, 5_3)
		_A				:    List[Any]     						=Process('''P2''', 0, 1_7)
		_A				:    Dict     						=Process('''P3''', 0, 6_8)
		_A				:    str     						=Process('''P4''', 0, 2_4)
		_A				:    List[str]     						=3
		_A				:    Optional[Any]     						=[1_7, 2_5]
		_A				:    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				:    List[Any]     						=Process('''P1''', 0, 5_3)
		_A				:    Any     						=Process('''P2''', 0, 1_7)
		_A				:    int     						=Process('''P3''', 0, 6_8)
		_A				:    Any     						=Process('''P4''', 0, 2_4)
		_A				:    List[Any]     						=3
		_A				:    List[Any]     						=[1_7, 2_5]
		_A				:    List[str]     						=deque([Pa, Pa, Pa, Pa])
		_A				:    Union[str, Any]     						=MLFQ(number_of_queues, time_slices, queue, 0)
		_A				:    str     						=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'''

_A				:    Optional[Any]     						='''ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789+/'''







def 						__UpperCamelCase				(							_lowercase					) ->			bytes:
	# Make sure the supplied data is a bytes-like object
	if not isinstance(_lowercase,				_lowercase					):
		_lowercase					:       Union[str, Any]       =		f'''a bytes-like object is required, not \'{data.__class__.__name__}\''''
		raise TypeError(_lowercase					)

	_lowercase					:       int       =		''.join(bin(_lowercase					)[2:].zfill(8					) for byte in data					)

	_lowercase					:       Dict       =		len(_lowercase					) % 6 != 0

	if padding_needed:
		# The padding that will be added later
		_lowercase					:       Optional[Any]       =		B'=' * ((6 - len(_lowercase					) % 6) // 2)

		# Append binary_stream with arbitrary binary digits (0's by default) to make its
		# length a multiple of 6.
		binary_stream += "0" * (6 - len(_lowercase					) % 6)
	else:
		_lowercase					:       Optional[int]       =		B''

	# Encode every 6 binary digits to their corresponding Base64 character
	return (
	    "".join(
	        B64_CHARSET[int(binary_stream[index : index + 6],				2					)]
	        for index in range(0,				len(_lowercase					),				6					)					).encode()
	    + padding
	)







def 						__UpperCamelCase				(							_lowercase					) ->			bytes:
	# Make sure encoded_data is either a string or a bytes-like object
	if not isinstance(_lowercase,				_lowercase					) and not isinstance(_lowercase,				_lowercase					):
		_lowercase					:       int       =		(
		    'argument should be a bytes-like object or ASCII string, '
		    f'''not \'{encoded_data.__class__.__name__}\''''
		)
		raise TypeError(_lowercase					)

	# In case encoded_data is a bytes-like object, make sure it contains only
	# ASCII characters so we convert it to a string object
	if isinstance(_lowercase,				_lowercase					):
		try:
			_lowercase					:       Optional[int]       =		encoded_data.decode('utf-8'					)
		except UnicodeDecodeError:
			raise ValueError('base64 encoded data should only contain ASCII characters'					)

	_lowercase					:       Optional[int]       =		encoded_data.count('='					)

	# Check if the encoded string contains non base64 characters
	if padding:
		assert all(
		    char in B64_CHARSET for char in encoded_data[:-padding]					), "Invalid base64 character(s) found."
	else:
		assert all(
		    char in B64_CHARSET for char in encoded_data					), "Invalid base64 character(s) found."

	# Check the padding
	assert len(_lowercase					) % 4 == 0 and padding < 3, "Incorrect padding"

	if padding:
		# Remove padding if there is one
		_lowercase					:       str       =		encoded_data[:-padding]

		_lowercase					:       Tuple       =		''.join(
		    bin(B64_CHARSET.index(_lowercase					)					)[2:].zfill(6					) for char in encoded_data					)[: -padding * 2]
	else:
		_lowercase					:       Union[str, Any]       =		''.join(
		    bin(B64_CHARSET.index(_lowercase					)					)[2:].zfill(6					) for char in encoded_data					)

	_lowercase					:       List[str]       =		[
	    int(binary_stream[index : index + 8],				2					)
	    for index in range(0,				len(_lowercase					),				8					)
	]

	return bytes(_lowercase					)


if __name__ == "__main__":
		import doctest

		doctest.testmod()
