




"""simple docstring"""






from statistics import mean

import numpy as np







def   _snake_case    (       lowercase__							,					lowercase__							,					lowercase__							,					lowercase__	):
				_lowerCamelCase  :    int					=					0
				# Number of processes finished
				_lowerCamelCase  :    str					=					0
				# Displays the finished process.
				# If it is 0, the performance is completed if it is 1, before the performance.
				_lowerCamelCase  :    Dict					=					[0] * no_of_process
				# List to include calculation results
				_lowerCamelCase  :    List[str]					=					[0] * no_of_process

				# Sort by arrival time.
				_lowerCamelCase  :    str					=					[burst_time[i] for i in np.argsort(lowercase__	)]
				_lowerCamelCase  :    List[Any]					=					[process_name[i] for i in np.argsort(lowercase__	)]
				arrival_time.sort()

				while no_of_process > finished_process_count:
								_lowerCamelCase  :    Dict					=					0
								while finished_process[i] == 1:
												i += 1
								if current_time < arrival_time[i]:
												_lowerCamelCase  :    Union[str, Any]					=					arrival_time[i]

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

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

				return turn_around_time







def   _snake_case    (       lowercase__							,					lowercase__							,					lowercase__							,					lowercase__	):
				_lowerCamelCase  :    Dict					=					[0] * no_of_process
				for i in range(0							,					lowercase__	):
								_lowerCamelCase  :    Dict					=					turn_around_time[i] - burst_time[i]
				return waiting_time


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

			lowercase__  		=		calculate_turn_around_time(
			    process_name, arrival_time, burst_time, no_of_process
			)
			lowercase__  		=		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 math import pow, sqrt







def   _snake_case    (       *lowercase__	):
				_lowerCamelCase  :    Dict					=					len(lowercase__	) > 0 and all(value > 0.0 for value in values	)
				return result







def   _snake_case    (       lowercase__							,					lowercase__	):
				return (
				    round(sqrt(molar_mass_a / molar_mass_a	)							,					6	)
				    if validate(lowercase__							,					lowercase__	)
				    else ValueError('Input Error: Molar mass values must greater than 0.'	)
				)







def   _snake_case    (       lowercase__							,					lowercase__							,					lowercase__	):
				return (
				    round(effusion_rate * sqrt(molar_mass_a / molar_mass_a	)							,					6	)
				    if validate(lowercase__							,					lowercase__							,					lowercase__	)
				    else ValueError(
				        'Input Error: Molar mass and effusion rate values must greater than 0.'	)
				)







def   _snake_case    (       lowercase__							,					lowercase__							,					lowercase__	):
				return (
				    round(effusion_rate / sqrt(molar_mass_a / molar_mass_a	)							,					6	)
				    if validate(lowercase__							,					lowercase__							,					lowercase__	)
				    else ValueError(
				        'Input Error: Molar mass and effusion rate values must greater than 0.'	)
				)







def   _snake_case    (       lowercase__							,					lowercase__							,					lowercase__	):
				return (
				    round(molar_mass / pow(effusion_rate_a / effusion_rate_a							,					2	)							,					6	)
				    if validate(lowercase__							,					lowercase__							,					lowercase__	)
				    else ValueError(
				        'Input Error: Molar mass and effusion rate values must greater than 0.'	)
				)







def   _snake_case    (       lowercase__							,					lowercase__							,					lowercase__	):
				return (
				    round(pow(effusion_rate_a / effusion_rate_a							,					2	) / molar_mass							,					6	)
				    if validate(lowercase__							,					lowercase__							,					lowercase__	)
				    else ValueError(
				        'Input Error: Molar mass and effusion rate values must greater than 0.'	)
				)