




"""simple docstring"""







from statistics import mean

import numpy as np





def 							lowercase					(snake_case__   : Tuple      ,       snake_case__   : List[str]      ,       snake_case__   : int      ,       snake_case__   : Optional[int] )     ->  list:


				'''simple docstring'''






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

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

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

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

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

				return turn_around_time





def 							lowercase					(snake_case__   : Optional[int]      ,       snake_case__   : str      ,       snake_case__   : Dict      ,       snake_case__   : str )     ->  list:


				'''simple docstring'''






				lowerCAmelCase  =				[0] * no_of_process
				for i in range(0      ,       _SCREAMING_SNAKE_CASE ):
								lowerCAmelCase  =				turn_around_time[i] - burst_time[i]
				return waiting_time


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

		a      =							calculate_turn_around_time(
		    process_name, arrival_time, burst_time, no_of_process
		)
		a      =							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 decimal import Decimal
from math import *  # noqa: F403

from sympy import diff





def 							lowercase					(snake_case__   : str      ,       snake_case__   : float | Decimal      ,       snake_case__   : float = 10**-10 )     ->  float:


				'''simple docstring'''






				lowerCAmelCase  =				a
				while True:
								lowerCAmelCase  =				Decimal(snake_case__ ) - (
								    Decimal(eval(snake_case__ ) ) / Decimal(eval(str(diff(snake_case__ ) ) ) )  # noqa: S307
								)
								# This number dictates the accuracy of the answer
								if abs(eval(snake_case__ ) ) < precision:  # noqa: S307
												return float(snake_case__ )


# Let's Execute
if __name__ == "__main__":
		# Find root of trigonometric function
		# Find value of pi
		print(f"""The root of sin(x) = 0 is {newton_raphson("sin(x)", 2)}""")
		# Find root of polynomial
		print(f"""The root of x**2 - 5*x + 2 = 0 is {newton_raphson("x**2 - 5*x + 2", 0.4)}""")
		# Find Square Root of 5
		print(f"""The root of log(x) - 1 = 0 is {newton_raphson("log(x) - 1", 2)}""")
		# Exponential Roots
		print(f"""The root of exp(x) - 1 = 0 is {newton_raphson("exp(x) - 1", 0)}""")





