



'''simple docstring'''






from statistics import mean

import numpy as np


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

							# Sort by arrival time.
							UpperCAmelCase				: List[str]											=	[burst_time[i] for i in np.argsort(_lowerCAmelCase						)]
							UpperCAmelCase				: Tuple											=	[process_name[i] for i in np.argsort(_lowerCAmelCase						)]
							arrival_time.sort()

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

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

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

							return turn_around_time


def 				snake_case_  (      _lowerCAmelCase						:		list     ,   _lowerCAmelCase						:		list     ,   _lowerCAmelCase						:		list     ,   _lowerCAmelCase						:		int						)   ->     list:
							UpperCAmelCase				: str											=	[0] * no_of_process
							for i in range(0     ,   _lowerCAmelCase						):
														UpperCAmelCase				: Dict											=	turn_around_time[i] - burst_time[i]
							return waiting_time


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

						UpperCamelCase__:     Optional[int]										=    calculate_turn_around_time(
						    process_name, arrival_time, burst_time, no_of_process
						)
						UpperCamelCase__:     List[Any]										=    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'''






# Lint as: python3
import dataclasses
import re
from dataclasses import dataclass
from functools import total_ordering
from typing import Optional, Union


UpperCamelCase__:     List[str]										=    re.compile(r"^(?P<major>\d+)" r"\.(?P<minor>\d+)" r"\.(?P<patch>\d+)$")

@total_ordering
@dataclass
class        SCREAMING_SNAKE_CASE:







	"""simple docstring"""






	lowerCamelCase__    				= 42
	lowerCamelCase__    				= None
	lowerCamelCase__    				= None
	lowerCamelCase__    				= None
	lowerCamelCase__    				= None







	def   A			(		self    :  Optional[Any]	)    ->	Dict:
								UpperCAmelCase							,	UpperCAmelCase							,	UpperCAmelCase				: Any											=	_str_to_version_tuple(self.version_str	)







	def __repr__(		self    :  str	)    ->	Optional[Any]:
								return F"""{self.tuple[0]}.{self.tuple[1]}.{self.tuple[2]}"""







	@property
	def   A			(		self    :  Tuple	)    ->	Dict:
								return self.major, self.minor, self.patch







	def   A			(		self    :  str	,    __snake_case    :  Any	)    ->	Tuple:
								if isinstance(__snake_case	,    __snake_case	):
															return Version(__snake_case	)
								elif isinstance(__snake_case	,    __snake_case	):
															return other
								raise TypeError(F"""{other} (type {type(__snake_case	)}) cannot be compared to version."""	)







	def __eq__(		self    :  str	,    __snake_case    :  Union[str, Any]	)    ->	List[Any]:
								try:
															UpperCAmelCase				: Dict											=	self._validate_operand(__snake_case	)
								except (TypeError, ValueError):
															return False
								else:
															return self.tuple == other.tuple







	def __lt__(		self    :  Any	,    __snake_case    :  int	)    ->	Optional[int]:
								UpperCAmelCase				: int											=	self._validate_operand(__snake_case	)
								return self.tuple < other.tuple







	def __hash__(		self    :  List[str]	)    ->	str:
								return hash(_version_tuple_to_str(self.tuple	)	)







	@classmethod
	def   A			(		cls    :  Any	,    __snake_case    :  Tuple	)    ->	Union[str, Any]:
								UpperCAmelCase				: Optional[Any]											=	{f.name for f in dataclasses.fields(cls	)}
								return cls(**{k: v for k, v in dic.items() if k in field_names}	)







	def   A			(		self    :  Dict	)    ->	str:
								return self.version_str


def 				snake_case_  (      _lowerCAmelCase						:		Optional[Any]						)   ->     List[Any]:
							UpperCAmelCase				: Optional[Any]											=	_VERSION_REG.match(_lowerCAmelCase						)
							if not res:
														raise ValueError(f"""Invalid version '{version_str}'. Format should be x.y.z with {{x,y,z}} being digits."""						)
							return tuple(int(_lowerCAmelCase						) for v in [res.group('''major'''						), res.group('''minor'''						), res.group('''patch'''						)]						)




def 				snake_case_  (      _lowerCAmelCase						:		List[str]						)   ->     List[Any]:
							return ".".join(str(_lowerCAmelCase						) for v in version_tuple						)





