






"""simple docstring"""





from statistics import mean

import numpy as np



def   a    (     __UpperCAmelCase      :    list      ,   __UpperCAmelCase      :    list      ,   __UpperCAmelCase      :    list      ,   __UpperCAmelCase      :    int  )    ->							list:
						__magic_name__:	Dict							=       0
						# Number of processes finished
						__magic_name__:	List[str]							=       0
						# Displays the finished process.
						# If it is 0, the performance is completed if it is 1, before the performance.
						__magic_name__:	Union[str, Any]							=       [0] * no_of_process
						# List to include calculation results
						__magic_name__:	str							=       [0] * no_of_process

						# Sort by arrival time.
						__magic_name__:	Dict							=       [burst_time[i] for i in np.argsort(__UpperCAmelCase  )]
						__magic_name__:	str							=       [process_name[i] for i in np.argsort(__UpperCAmelCase  )]
						arrival_time.sort()

						while no_of_process > finished_process_count:
												__magic_name__:	Tuple							=       0
												while finished_process[i] == 1:
																		i += 1
												if current_time < arrival_time[i]:
																		__magic_name__:	Optional[Any]							=       arrival_time[i]

												__magic_name__:	List[Any]							=       0
												# Index showing the location of the process being performed
												__magic_name__:	List[Any]							=       0
												# Saves the current response ratio.
												__magic_name__:	Any							=       0
												for i in range(0      ,   __UpperCAmelCase  ):
																		if finished_process[i] == 0 and arrival_time[i] <= current_time:
																								__magic_name__:	Any							=       (burst_time[i] + (current_time - arrival_time[i])) / burst_time[
																								    i
																								]
																		if response_ratio < temp:
																								__magic_name__:	Union[str, Any]							=       temp
																								__magic_name__:	Union[str, Any]							=       i

        # Calculate the turn around time
												__magic_name__:	List[Any]							=       current_time + burst_time[loc] - arrival_time[loc]
												current_time += burst_time[loc]
												# Indicates that the process has been performed.
												__magic_name__:	Union[str, Any]							=       1
												# Increase finished_process_count by 1
												finished_process_count += 1

						return turn_around_time



def   a    (     __UpperCAmelCase      :    list      ,   __UpperCAmelCase      :    list      ,   __UpperCAmelCase      :    list      ,   __UpperCAmelCase      :    int  )    ->							list:
						__magic_name__:	List[str]							=       [0] * no_of_process
						for i in range(0      ,   __UpperCAmelCase  ):
												__magic_name__:	str							=       turn_around_time[i] - burst_time[i]
						return waiting_time


if __name__ == "__main__":
							__lowerCamelCase							=  5
							__lowerCamelCase							=  ['A', 'B', 'C', 'D', 'E']
							__lowerCamelCase							=  [1, 2, 3, 4, 5]
							__lowerCamelCase							=  [1, 2, 3, 4, 5]

							__lowerCamelCase							=  calculate_turn_around_time(
							    process_name, arrival_time, burst_time, no_of_process
							)
							__lowerCamelCase							=  calculate_waiting_time(
							    process_name, turn_around_time, burst_time, no_of_process
							)

							print('Process name \tArrival time \tBurst time \tTurn around time \tWaiting time')
							for i in range(0, no_of_process):
														print(
														    f'''{process_name[i]}\t\t{arrival_time[i]}\t\t{burst_time[i]}\t\t'''
														    f'''{turn_around_time[i]}\t\t\t{waiting_time[i]}'''
														)

							print(f'''average waiting time : {mean(waiting_time):.5f}''')
							print(f'''average turn around time : {mean(turn_around_time):.5f}''')










"""simple docstring"""




from __future__ import annotations

from statistics import mean






def  _SCREAMING_SNAKE_CASE						(      _lowercase		:       list[int]       ,			_lowercase		:       list[int]       ,			_lowercase		:       int   )					->list[int]:






	'''simple docstring'''






	a :						Union[str, Any]      =							[0] * no_of_processes
	a :						int      =							[0] * no_of_processes

	# Initialize remaining_time to waiting_time.

	for i in range(_lowercase   ):
		a :						List[Any]      =							burst_time[i]
	a :						list[int]      =							[]

	a :						List[Any]      =							0
	a :						Any      =							0

	# When processes are not completed,
	# A process whose arrival time has passed \
	# and has remaining execution time is put into the ready_process.
	# The shortest process in the ready_process, target_process is executed.

	while completed != no_of_processes:
		a :						str      =							[]
		a :						Tuple      =							-1

		for i in range(_lowercase   ):
			if (arrival_time[i] <= total_time) and (remaining_time[i] > 0):
				ready_process.append(_lowercase   )

		if len(_lowercase   ) > 0:
			a :						List[Any]      =							ready_process[0]
			for i in ready_process:
				if remaining_time[i] < remaining_time[target_process]:
					a :						Optional[Any]      =							i
			total_time += burst_time[target_process]
			completed += 1
			a :						str      =							0
			a :						Union[str, Any]      =							(
			    total_time - arrival_time[target_process] - burst_time[target_process]
			)
		else:
			total_time += 1

	return waiting_time






def  _SCREAMING_SNAKE_CASE						(      _lowercase		:       list[int]       ,			_lowercase		:       int       ,			_lowercase		:       list[int]   )					->list[int]:






	'''simple docstring'''






	a :						List[str]      =							[0] * no_of_processes
	for i in range(_lowercase   ):
		a :						Optional[int]      =							burst_time[i] + waiting_time[i]
	return turn_around_time


if __name__ == "__main__":
		print('''[TEST CASE 01]''')

		a		:					Dict	      =     4
		a		:					Tuple	      =     [2, 5, 3, 7]
		a		:					List[Any]	      =     [0, 0, 0, 0]
		a		:					int	      =     calculate_waitingtime(arrival_time, burst_time, no_of_processes)
		a		:					List[Any]	      =     calculate_turnaroundtime(
		    burst_time, no_of_processes, waiting_time
		)

		# Printing the Result
		print('''PID\tBurst Time\tArrival Time\tWaiting Time\tTurnaround Time''')
		for i, process_id in enumerate(list(range(1, 5))):
				print(
				    F'''{process_id}\t{burst_time[i]}\t\t\t{arrival_time[i]}\t\t\t\t'''
				    F'''{waiting_time[i]}\t\t\t\t{turn_around_time[i]}'''
				)
		print(F'''\nAverage waiting time = {mean(waiting_time):.5f}''')
		print(F'''Average turnaround time = {mean(turn_around_time):.5f}''')


