






from statistics import mean

import numpy as np






def   a			(						lowerCamelCase_		,   lowerCamelCase_		,   lowerCamelCase_		,   lowerCamelCase_				):






				'''simple docstring'''
				lowercase__    =			0
				# Number of processes finished
				lowercase__    =			0
				# Displays the finished process.
				# If it is 0, the performance is completed if it is 1, before the performance.
				lowercase__    =			[0] * no_of_process
				# List to include calculation results
				lowercase__    =			[0] * no_of_process

				# Sort by arrival time.
				lowercase__    =			[burst_time[i] for i in np.argsort(lowerCamelCase_				)]
				lowercase__    =			[process_name[i] for i in np.argsort(lowerCamelCase_				)]
				arrival_time.sort()

				while no_of_process > finished_process_count:
								lowercase__    =			0
								while finished_process[i] == 1:
												i += 1
								if current_time < arrival_time[i]:
												lowercase__    =			arrival_time[i]

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

        # Calculate the turn around time
								lowercase__    =			current_time + burst_time[loc] - arrival_time[loc]
								current_time += burst_time[loc]
								# Indicates that the process has been performed.
								lowercase__    =			1
								# Increase finished_process_count by 1
								finished_process_count += 1

				return turn_around_time






def   a			(						lowerCamelCase_		,   lowerCamelCase_		,   lowerCamelCase_		,   lowerCamelCase_				):






				'''simple docstring'''
				lowercase__    =			[0] * no_of_process
				for i in range(0		,   lowerCamelCase_				):
								lowercase__    =			turn_around_time[i] - burst_time[i]
				return waiting_time


if __name__ == "__main__":
							A__	:			int			   = 5
							A__	:			Any			   = ['A', 'B', 'C', 'D', 'E']
							A__	:			Optional[int]			   = [1, 2, 3, 4, 5]
							A__	:			Union[str, Any]			   = [1, 2, 3, 4, 5]

							A__	:			Tuple			   = calculate_turn_around_time(
							    process_name, arrival_time, burst_time, no_of_process
							)
							A__	:			str			   = 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}")












def   a			(						lowerCamelCase_				):






				'''simple docstring'''
				lowercase__    =			[1]

				lowercase__ ,						lowercase__ ,						lowercase__    =			0, 0, 0
				lowercase__    =			ugly_nums[ia] * 2
				lowercase__    =			ugly_nums[ia] * 3
				lowercase__    =			ugly_nums[ia] * 5

				for _ in range(1		,   lowerCamelCase_				):
								lowercase__    =			min(lowerCamelCase_		,   lowerCamelCase_		,   lowerCamelCase_				)
								ugly_nums.append(lowerCamelCase_				)
								if next_num == next_a:
												ia += 1
												lowercase__    =			ugly_nums[ia] * 2
								if next_num == next_a:
												ia += 1
												lowercase__    =			ugly_nums[ia] * 3
								if next_num == next_a:
												ia += 1
												lowercase__    =			ugly_nums[ia] * 5
				return ugly_nums[-1]


if __name__ == "__main__":
							from doctest import testmod

							testmod(verbose=True)
							print(F"{ugly_numbers(2_00) = }")




