
"""simple docstring"""





from __future__ import annotations

from typing import Any
class 		SCREAMING_SNAKE_CASE_					:




		"""simple docstring"""





		def __init__(	self				,    lowerCAmelCase__				,    lowerCAmelCase__				,    lowerCAmelCase__ = 0):
				__SCREAMING_SNAKE_CASE			,__SCREAMING_SNAKE_CASE				=					row, column
				__SCREAMING_SNAKE_CASE				=					[[default_value for c in range(SCREAMING_SNAKE_CASE__)] for r in range(SCREAMING_SNAKE_CASE__)]




		def __str__(	self):
				__SCREAMING_SNAKE_CASE				=					f"Matrix consist of {self.row} rows and {self.column} columns\n"

				# Make string identifier
				__SCREAMING_SNAKE_CASE				=					0
				for row_vector in self.array:
						for obj in row_vector:
								__SCREAMING_SNAKE_CASE				=					max(SCREAMING_SNAKE_CASE__				,    len(str(SCREAMING_SNAKE_CASE__)))
				__SCREAMING_SNAKE_CASE				=					f"%{max_element_length}s"

				# Make string and return
				def single_line(lowerCAmelCase__) -> str:
						nonlocal string_format_identifier
						__SCREAMING_SNAKE_CASE				=					"""["""
						line += ", ".join(string_format_identifier % (obj,) for obj in row_vector)
						line += "]"
						return line

				s += "\n".join(single_line(SCREAMING_SNAKE_CASE__) for row_vector in self.array)
				return s




		def __repr__(	self):
				return str(self)




		def       snake_case_	(	self				,    lowerCAmelCase__):
				if not (isinstance(SCREAMING_SNAKE_CASE__				,    (list, tuple)) and len(SCREAMING_SNAKE_CASE__) == 2):
						return False
				elif not (0 <= loc[0] < self.row and 0 <= loc[1] < self.column):
						return False
				else:
						return True




		def __getitem__(	self				,    lowerCAmelCase__):
				assert self.validate_indicies(SCREAMING_SNAKE_CASE__)
				return self.array[loc[0]][loc[1]]




		def __setitem__(	self				,    lowerCAmelCase__				,    lowerCAmelCase__):
				assert self.validate_indicies(SCREAMING_SNAKE_CASE__)
				__SCREAMING_SNAKE_CASE				=					value




		def __add__(	self				,    lowerCAmelCase__):
				assert isinstance(SCREAMING_SNAKE_CASE__				,    SCREAMING_SNAKE_CASE__)
				assert self.row == another.row and self.column == another.column

				# Add
				__SCREAMING_SNAKE_CASE				=					Matrix(self.row				,    self.column)
				for r in range(self.row):
						for c in range(self.column):
								__SCREAMING_SNAKE_CASE				=					self[r, c] + another[r, c]
				return result




		def __neg__(	self):
				__SCREAMING_SNAKE_CASE				=					Matrix(self.row				,    self.column)
				for r in range(self.row):
						for c in range(self.column):
								__SCREAMING_SNAKE_CASE				=					-self[r, c]
				return result




		def __sub__(	self				,    lowerCAmelCase__):
				return self + (-another)




		def __mul__(	self				,    lowerCAmelCase__):

				if isinstance(SCREAMING_SNAKE_CASE__				,    (int, float)):  # Scalar multiplication
						__SCREAMING_SNAKE_CASE				=					Matrix(self.row				,    self.column)
						for r in range(self.row):
								for c in range(self.column):
										__SCREAMING_SNAKE_CASE				=					self[r, c] * another
						return result
				elif isinstance(SCREAMING_SNAKE_CASE__				,    SCREAMING_SNAKE_CASE__):  # Matrix multiplication
						assert self.column == another.row
						__SCREAMING_SNAKE_CASE				=					Matrix(self.row				,    another.column)
						for r in range(self.row):
								for c in range(another.column):
										for i in range(self.column):
												result[r, c] += self[r, i] * another[i, c]
						return result
				else:
						__SCREAMING_SNAKE_CASE				=					f"Unsupported type given for another ({type(SCREAMING_SNAKE_CASE__)})"
						raise TypeError(SCREAMING_SNAKE_CASE__)




		def       snake_case_	(	self):
				__SCREAMING_SNAKE_CASE				=					Matrix(self.column				,    self.row)
				for r in range(self.row):
						for c in range(self.column):
								__SCREAMING_SNAKE_CASE				=					self[r, c]
				return result




		def       snake_case_	(	self				,    lowerCAmelCase__				,    lowerCAmelCase__):
				assert isinstance(SCREAMING_SNAKE_CASE__				,    SCREAMING_SNAKE_CASE__) and isinstance(SCREAMING_SNAKE_CASE__				,    SCREAMING_SNAKE_CASE__)
				assert self.row == self.column == u.row == v.row  # u, v should be column vector
				assert u.column == v.column == 1  # u, v should be column vector

				# Calculate
				__SCREAMING_SNAKE_CASE				=					v.transpose()
				__SCREAMING_SNAKE_CASE				=					(v_t * self * u)[0, 0] + 1
				if numerator_factor == 0:
						return None  # It's not invertable
				return self - ((self * u) * (v_t * self) * (1.0 / numerator_factor))


# Testing
if __name__ == "__main__":



							def 		_lowerCAmelCase							(							):
									__SCREAMING_SNAKE_CASE				=					Matrix(3    ,							3    ,							0							)
									for i in range(3							):
											__SCREAMING_SNAKE_CASE				=					1
									print(f"a^(-1) is {ainv}"							)
									# u, v
									__SCREAMING_SNAKE_CASE				=					Matrix(3    ,							1    ,							0							)
									__SCREAMING_SNAKE_CASE			,__SCREAMING_SNAKE_CASE			,__SCREAMING_SNAKE_CASE				=					1, 2, -3
									__SCREAMING_SNAKE_CASE				=					Matrix(3    ,							1    ,							0							)
									__SCREAMING_SNAKE_CASE			,__SCREAMING_SNAKE_CASE			,__SCREAMING_SNAKE_CASE				=					4, -2, 5
									print(f"u is {u}"							)
									print(f"v is {v}"							)
									print(f"uv^T is {u * v.transpose()}"							)
									# Sherman Morrison
									print(f"(a + uv^T)^(-1) is {ainv.sherman_morrison(UpperCAmelCase_    ,							UpperCAmelCase_							)}"							)



							def 		_lowerCAmelCase							(							):
									import doctest

									doctest.testmod()
							testa()









"""simple docstring"""







from statistics import mean

import numpy as np

def       _lowerCamelCase				(							UpperCAmelCase_ :       list,	UpperCAmelCase_ :       list,	UpperCAmelCase_ :       list,	UpperCAmelCase_ :       int     )	-> list:






	"""simple docstring"""





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

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

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

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

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

	return turn_around_time

def       _lowerCamelCase				(							UpperCAmelCase_ :       list,	UpperCAmelCase_ :       list,	UpperCAmelCase_ :       list,	UpperCAmelCase_ :       int     )	-> list:






	"""simple docstring"""





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


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

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




