



from __future__ import annotations

import pandas as pd




def 	UpperCAmelCase   (						_lowerCamelCase ,    _lowerCamelCase ,    _lowerCamelCase    ):
			A							:					str              =						[0] * no_of_processes
			A							:					Any              =						[0] * no_of_processes
			# Copy the burst time into remaining_time[]
			for i in range(_lowerCamelCase    ):
						A							:					str              =						burst_time[i]

			A							:					int              =						0
			A							:					Optional[int]              =						0
			A							:					Dict              =						9_9999_9999
			A							:					Optional[Any]              =						0
			A							:					Optional[Any]              =						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							:					str              =						remaining_time[j]
															A							:					Tuple              =						j
															A							:					Optional[int]              =						True

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

						A							:					int              =						remaining_time[short]
						if minm == 0:
									A							:					Optional[Any]              =						9_9999_9999

						if remaining_time[short] == 0:
									complete += 1
									A							:					Optional[int]              =						False

									# Find finish time of current process
									A							:					Union[str, Any]              =						increment_time + 1

									# Calculate waiting time
									A							:					Optional[int]              =						finish_time - arrival_time[short]
									A							:					Dict              =						finar - burst_time[short]

									if waiting_time[short] < 0:
												A							:					Tuple              =						0

        # Increment time
						increment_time += 1
			return waiting_time




def 	UpperCAmelCase   (						_lowerCamelCase ,    _lowerCamelCase ,    _lowerCamelCase    ):
			A							:					Any              =						[0] * no_of_processes
			for i in range(_lowerCamelCase    ):
						A							:					Optional[Any]              =						burst_time[i] + waiting_time[i]
			return turn_around_time




def 	UpperCAmelCase   (						_lowerCamelCase ,    _lowerCamelCase ,    _lowerCamelCase    ):
			A							:					Any              =						0
			A							:					Optional[Any]              =						0
			for i in range(_lowerCamelCase    ):
						A							:					List[Any]              =						total_waiting_time + waiting_time[i]
						A							:					str              =						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""")
							__SCREAMING_SNAKE_CASE           =  int(input())
							__SCREAMING_SNAKE_CASE           =  [0] * no_of_processes
							__SCREAMING_SNAKE_CASE           =  [0] * no_of_processes
							__SCREAMING_SNAKE_CASE           =  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))
														__SCREAMING_SNAKE_CASE      ,    __SCREAMING_SNAKE_CASE           =  map(int, input().split())

							__SCREAMING_SNAKE_CASE           =  calculate_waitingtime(arrival_time, burst_time, no_of_processes)

							__SCREAMING_SNAKE_CASE           =  burst_time
							__SCREAMING_SNAKE_CASE           =  no_of_processes
							__SCREAMING_SNAKE_CASE           =  waiting_time
							__SCREAMING_SNAKE_CASE           =  calculate_turnaroundtime(bt, n, wt)

							calculate_average_times(waiting_time, turn_around_time, no_of_processes)

							__SCREAMING_SNAKE_CASE           =  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 sqrt




def 	UpperCAmelCase   (						_lowerCamelCase = 100_0000    ):
			A							:					int              =						0
			A							:					int              =						0
			A							:					int

			while num_cuboids <= limit:
						max_cuboid_size += 1
						for sum_shortest_sides in range(2 ,    2 * max_cuboid_size + 1    ):
									if sqrt(sum_shortest_sides**2 + max_cuboid_size**2    ).is_integer():
												num_cuboids += (
												    min(_lowerCamelCase ,    sum_shortest_sides // 2    )
												    - max(1 ,    sum_shortest_sides - max_cuboid_size    )
												    + 1
												)

			return max_cuboid_size


if __name__ == "__main__":
							print(F"""{solution() = }""")