

"""simple docstring"""




from __future__ import annotations

from statistics import mean

def 						A							(  snake_case__		,					snake_case__		,					snake_case__     ):




			'''simple docstring'''


			SCREAMING_SNAKE_CASE__										=   [0] * no_of_processes
			SCREAMING_SNAKE_CASE__										=   [0] * no_of_processes

			# Initialize remaining_time to waiting_time.

			for i in range(snake_case__     ):
						SCREAMING_SNAKE_CASE__										=   burst_time[i]
			SCREAMING_SNAKE_CASE__										=   []

			SCREAMING_SNAKE_CASE__										=   0
			SCREAMING_SNAKE_CASE__										=   0

			# When processes are not completed,
			# A process whose arrival time has passed \
			# and has remaining execution time is put into the ready_process.
			# The shortest process in the ready_process, target_process is executed.

			while completed != no_of_processes:
						SCREAMING_SNAKE_CASE__										=   []
						SCREAMING_SNAKE_CASE__										=   -1

						for i in range(snake_case__     ):
									if (arrival_time[i] <= total_time) and (remaining_time[i] > 0):
												ready_process.append(snake_case__     )

						if len(snake_case__     ) > 0:
									SCREAMING_SNAKE_CASE__										=   ready_process[0]
									for i in ready_process:
												if remaining_time[i] < remaining_time[target_process]:
															SCREAMING_SNAKE_CASE__										=   i
									total_time += burst_time[target_process]
									completed += 1
									SCREAMING_SNAKE_CASE__										=   0
									SCREAMING_SNAKE_CASE__										=   (
									    total_time - arrival_time[target_process] - burst_time[target_process]
									)
						else:
									total_time += 1

			return waiting_time

def 						A							(  snake_case__		,					snake_case__		,					snake_case__     ):




			'''simple docstring'''


			SCREAMING_SNAKE_CASE__										=   [0] * no_of_processes
			for i in range(snake_case__     ):
						SCREAMING_SNAKE_CASE__										=   burst_time[i] + waiting_time[i]
			return turn_around_time


if __name__ == "__main__":
						print("[TEST CASE 01]")

						A_				:      str           =			4
						A_				:      List[Any]           =			[2, 5, 3, 7]
						A_				:      Tuple           =			[0, 0, 0, 0]
						A_				:      List[str]           =			calculate_waitingtime(arrival_time, burst_time, no_of_processes)
						A_				:      Any           =			calculate_turnaroundtime(
						    burst_time, no_of_processes, waiting_time
						)

						# Printing the Result
						print("PID\tBurst Time\tArrival Time\tWaiting Time\tTurnaround Time")
						for i, process_id in enumerate(list(range(1, 5))):
												print(
												    F'{process_id}\t{burst_time[i]}\t\t\t{arrival_time[i]}\t\t\t\t'
												    F'{waiting_time[i]}\t\t\t\t{turn_around_time[i]}'
												)
						print(F'\nAverage waiting time = {mean(waiting_time):.5f}')
						print(F'Average turnaround time = {mean(turn_around_time):.5f}')





"""simple docstring"""




from __future__ import annotations

def 						A							(  snake_case__     ):




			'''simple docstring'''


			for i in range(1		,					len(matrix[0]     )     ):
						matrix[0][i] += matrix[0][i - 1]

			# preprocessing the first column
			for i in range(1		,					len(snake_case__     )     ):
						matrix[i][0] += matrix[i - 1][0]

			# updating the path cost for current position
			for i in range(1		,					len(snake_case__     )     ):
						for j in range(1		,					len(matrix[0]     )     ):
									matrix[i][j] += min(matrix[i - 1][j]		,					matrix[i][j - 1]     )

			return matrix[-1][-1]


if __name__ == "__main__":
						import doctest

						doctest.testmod()


