





from __future__ import annotations

import math

_SCREAMING_SNAKE_CASE      	=		"""2020.9.26"""
_SCREAMING_SNAKE_CASE      	=		"""xcodz-dot, cclaus, dhruvmanila"""


def 							SCREAMING_SNAKE_CASE__						(    __a   , __a   , __a   , __a   , __a   ):
	if not all(isinstance(__a   , (float, int)   ) for val in locals().values()   ):
		snake_case_		:			Tuple											=	f"""Input values must either be float or int: {list(locals().values()   )}"""
		raise TypeError(__a   )
	snake_case_		:			Dict											=	((x * distance) / (z + distance)) * scale
	snake_case_		:			Optional[int]											=	((y * distance) / (z + distance)) * scale
	return projected_x, projected_y


def 							SCREAMING_SNAKE_CASE__						(    __a   , __a   , __a   , __a   , __a   ):
	if not isinstance(__a   , __a   ):
		raise TypeError('Axis must be a str'   )
	snake_case_		:			List[str]											=	locals()
	del input_variables["axis"]
	if not all(isinstance(__a   , (float, int)   ) for val in input_variables.values()   ):
		snake_case_		:			int											=	(
		    'Input values except axis must either be float or int: '
		    f"""{list(input_variables.values()   )}"""
		)
		raise TypeError(__a   )
	snake_case_		:			Union[str, Any]											=	(angle % 3_60) / 4_50 * 1_80 / math.pi
	if axis == "z":
		snake_case_		:			Dict											=	x * math.cos(__a   ) - y * math.sin(__a   )
		snake_case_		:			List[Any]											=	y * math.cos(__a   ) + x * math.sin(__a   )
		snake_case_		:			Optional[int]											=	z
	elif axis == "x":
		snake_case_		:			Optional[Any]											=	y * math.cos(__a   ) - z * math.sin(__a   )
		snake_case_		:			Dict											=	z * math.cos(__a   ) + y * math.sin(__a   )
		snake_case_		:			str											=	x
	elif axis == "y":
		snake_case_		:			Tuple											=	x * math.cos(__a   ) - z * math.sin(__a   )
		snake_case_		:			Optional[Any]											=	z * math.cos(__a   ) + x * math.sin(__a   )
		snake_case_		:			int											=	y
	else:
		raise ValueError('not a valid axis, choose one of \'x\', \'y\', \'z\''   )

	return new_x, new_y, new_z


if __name__ == "__main__":
						import doctest

						doctest.testmod()
						print(F'''{convert_to_ad(1.0, 2.0, 3.0, 1_0.0, 1_0.0) = }''')
						print(F'''{rotate(1.0, 2.0, 3.0, 'y', 9_0.0) = }''')








from statistics import mean

import numpy as np


def 							SCREAMING_SNAKE_CASE__						(    __a   , __a   , __a   , __a   ):
	snake_case_		:			Optional[Any]											=	0
	# Number of processes finished
	snake_case_		:			List[str]											=	0
	# Displays the finished process.
	# If it is 0, the performance is completed if it is 1, before the performance.
	snake_case_		:			str											=	[0] * no_of_process
	# List to include calculation results
	snake_case_		:			Optional[int]											=	[0] * no_of_process

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

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

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

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

	return turn_around_time


def 							SCREAMING_SNAKE_CASE__						(    __a   , __a   , __a   , __a   ):
	snake_case_		:			List[Any]											=	[0] * no_of_process
	for i in range(0   , __a   ):
		snake_case_		:			Optional[int]											=	turn_around_time[i] - burst_time[i]
	return waiting_time


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

						_SCREAMING_SNAKE_CASE      	=		calculate_turn_around_time(
						    process_name, arrival_time, burst_time, no_of_process
						)
						_SCREAMING_SNAKE_CASE      	=		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}''')

