



from __future__ import annotations

import pandas as pd


def  __lowerCamelCase (       lowerCamelCase__					,			lowerCamelCase__					,			lowerCamelCase__						):

				"""simple docstring"""


				lowercase__					:   List[str]													=					[0] * no_of_processes
				lowercase__					:   Tuple													=					[0] * no_of_processes
				# Copy the burst time into remaining_time[]
				for i in range(lowerCamelCase__						):
								lowercase__					:   Union[str, Any]													=					burst_time[i]

				lowercase__					:   List[Any]													=					0
				lowercase__					:   Dict													=					0
				lowercase__					:   Dict													=					999_999_999
				lowercase__					:   Union[str, Any]													=					0
				lowercase__					:   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:
																				lowercase__					:   Optional[Any]													=					remaining_time[j]
																				lowercase__					:   Any													=					j
																				lowercase__					:   int													=					True

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

								lowercase__					:   Dict													=					remaining_time[short]
								if minm == 0:
												lowercase__					:   Union[str, Any]													=					999_999_999

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

												# Find finish time of current process
												lowercase__					:   List[str]													=					increment_time + 1

												# Calculate waiting time
												lowercase__					:   List[str]													=					finish_time - arrival_time[short]
												lowercase__					:   Union[str, Any]													=					finar - burst_time[short]

												if waiting_time[short] < 0:
																lowercase__					:   int													=					0

        # Increment time
								increment_time += 1
				return waiting_time


def  __lowerCamelCase (       lowerCamelCase__					,			lowerCamelCase__					,			lowerCamelCase__						):

				"""simple docstring"""


				lowercase__					:   Optional[Any]													=					[0] * no_of_processes
				for i in range(lowerCamelCase__						):
								lowercase__					:   List[str]													=					burst_time[i] + waiting_time[i]
				return turn_around_time


def  __lowerCamelCase (       lowerCamelCase__					,			lowerCamelCase__					,			lowerCamelCase__						):

				"""simple docstring"""


				lowercase__					:   Union[str, Any]													=					0
				lowercase__					:   List[str]													=					0
				for i in range(lowerCamelCase__						):
								lowercase__					:   Dict													=					total_waiting_time + waiting_time[i]
								lowercase__					:   Optional[int]													=					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''')
				lowerCAmelCase__					  =  int(input())
				lowerCAmelCase__					  =  [0] * no_of_processes
				lowerCAmelCase__					  =  [0] * no_of_processes
				lowerCAmelCase__					  =  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))
								lowerCAmelCase__  ,						lowerCAmelCase__					  =  map(int, input().split())

				lowerCAmelCase__					  =  calculate_waitingtime(arrival_time, burst_time, no_of_processes)

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

				calculate_average_times(waiting_time, turn_around_time, no_of_processes)

				lowerCAmelCase__					  =  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 __future__ import annotations

from math import pi

# Define the Reduced Planck Constant ℏ (H bar), speed of light C, value of
# Pi and the function
lowerCAmelCase__					  =  1.054571817e-34  # unit of ℏ : J * s

lowerCAmelCase__					  =  3e8  # unit of c : m * s^-1


def  __lowerCamelCase (       lowerCamelCase__					,			lowerCamelCase__					,			lowerCamelCase__						):

				"""simple docstring"""


				if (force, area, distance).count(0						) != 1:
								raise ValueError("One and only one argument must be 0"						)
				if force < 0:
								raise ValueError("Magnitude of force can not be negative"						)
				if distance < 0:
								raise ValueError("Distance can not be negative"						)
				if area < 0:
								raise ValueError("Area can not be negative"						)
				if force == 0:
								lowercase__					:   Optional[Any]													=					(REDUCED_PLANCK_CONSTANT * SPEED_OF_LIGHT * pi**2 * area) / (
								    240 * (distance) ** 4
								)
								return {"force": force}
				elif area == 0:
								lowercase__					:   str													=					(240 * force * (distance) ** 4) / (
								    REDUCED_PLANCK_CONSTANT * SPEED_OF_LIGHT * pi**2
								)
								return {"area": area}
				elif distance == 0:
								lowercase__					:   Tuple													=					(
								    (REDUCED_PLANCK_CONSTANT * SPEED_OF_LIGHT * pi**2 * area) / (240 * force)
								) ** (1 / 4)
								return {"distance": distance}
				raise ValueError("One and only one argument must be 0"						)


# Run doctest
if __name__ == "__main__":
				import doctest

				doctest.testmod()




