




from __future__ import annotations

import pandas as pd





def 						__A						(      __lowerCamelCase				,     __lowerCamelCase				,     __lowerCamelCase       ) ->			list[int]:
	a									=				[0] * no_of_processes
	a									=				[0] * no_of_processes
	# Copy the burst time into remaining_time[]
	for i in range(__lowerCamelCase       ):
		a									=				burst_time[i]

	a									=				0
	a									=				0
	a									=				9_9999_9999
	a									=				0
	a									=				False

	# Process until all processes are completed
	while complete != no_of_processes:
		for j in range(__lowerCamelCase       ):
			if arrival_time[j] <= increment_time and remaining_time[j] > 0:
				if remaining_time[j] < minm:
					a									=				remaining_time[j]
					a									=				j
					a									=				True

		if not check:
			increment_time += 1
			continue
		remaining_time[short] -= 1

		a									=				remaining_time[short]
		if minm == 0:
			a									=				9_9999_9999

		if remaining_time[short] == 0:
			complete += 1
			a									=				False

			# Find finish time of current process
			a									=				increment_time + 1

			# Calculate waiting time
			a									=				finish_time - arrival_time[short]
			a									=				finar - burst_time[short]

			if waiting_time[short] < 0:
				a									=				0

        # Increment time
		increment_time += 1
	return waiting_time





def 						__A						(      __lowerCamelCase				,     __lowerCamelCase				,     __lowerCamelCase       ) ->			list[int]:
	a									=				[0] * no_of_processes
	for i in range(__lowerCamelCase       ):
		a									=				burst_time[i] + waiting_time[i]
	return turn_around_time





def 						__A						(      __lowerCamelCase				,     __lowerCamelCase				,     __lowerCamelCase       ) ->			None:
	a									=				0
	a									=				0
	for i in range(__lowerCamelCase       ):
		a									=				total_waiting_time + waiting_time[i]
		a									=				total_turn_around_time + turn_around_time[i]
	print(f'Average waiting time = {total_waiting_time / no_of_processes:.5f}'       )
	print("""Average turn around time ="""				,     total_turn_around_time / no_of_processes       )


if __name__ == "__main__":
		print("Enter how many process you want to analyze")
		__UpperCamelCase   :			Dict          = int(input())
		__UpperCamelCase   :			List[Any]          = [0] * no_of_processes
		__UpperCamelCase   :			List[Any]          = [0] * no_of_processes
		__UpperCamelCase   :			Any          = list(range(1, no_of_processes + 1))

		for i in range(no_of_processes):
				print("Enter the arrival time and burst time for process:--" + str(i + 1))
				__UpperCamelCase   ,    __UpperCamelCase   :			Tuple          = map(int, input().split())

		__UpperCamelCase   :			int          = calculate_waitingtime(arrival_time, burst_time, no_of_processes)

		__UpperCamelCase   :			str          = burst_time
		__UpperCamelCase   :			int          = no_of_processes
		__UpperCamelCase   :			List[Any]          = waiting_time
		__UpperCamelCase   :			Union[str, Any]          = calculate_turnaroundtime(bt, n, wt)

		calculate_average_times(waiting_time, turn_around_time, no_of_processes)

		__UpperCamelCase   :			List[Any]          = pd.DataFrame(
		    list(zip(processes, burst_time, arrival_time, waiting_time, turn_around_time)),
		    columns=[
		        "Process",
		        "BurstTime",
		        "ArrivalTime",
		        "WaitingTime",
		        "TurnAroundTime",
		    ],
		)

		# Printing the dataFrame
		pd.set_option("display.max_rows", fcfs.shape[0] + 1)
		print(fcfs)







from math import factorial, radians





def 						__A						(      __lowerCamelCase				,     __lowerCamelCase = 18				,     __lowerCamelCase = 10       ) ->			float:
	a									=				angle_in_degrees - ((angle_in_degrees // 360.0) * 360.0)

	# Converting from degrees to radians
	a									=				radians(__lowerCamelCase       )

	a									=				angle_in_radians
	a									=				3
	a									=				-1

	for _ in range(__lowerCamelCase       ):
		result += (b * (angle_in_radians**a)) / factorial(__lowerCamelCase       )

		a									=				-b  # One positive term and the next will be negative and so on...
		a += 2  # Increased by 2 for every term.

	return round(__lowerCamelCase				,     __lowerCamelCase       )


if __name__ == "__main__":
		__import__("doctest").testmod()

