



"""simple docstring"""


from __future__ import annotations

import pandas as pd

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

						UpperCAmelCase             = 0
						UpperCAmelCase             = 0
						UpperCAmelCase             = 999999999
						UpperCAmelCase             = 0
						UpperCAmelCase             = False

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

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

												UpperCAmelCase             = remaining_time[short]
												if minm == 0:
																		UpperCAmelCase             = 999999999

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

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

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

																		if waiting_time[short] < 0:
																								UpperCAmelCase             = 0

        # Increment time
												increment_time += 1
						return waiting_time

def  _lowerCAmelCase      (   lowercase_		,	lowercase_		,	lowercase_						):
						UpperCAmelCase             = [0] * no_of_processes
						for i in range(lowercase_						):
												UpperCAmelCase             = burst_time[i] + waiting_time[i]
						return turn_around_time

def  _lowerCAmelCase      (   lowercase_		,	lowercase_		,	lowercase_						):
						UpperCAmelCase             = 0
						UpperCAmelCase             = 0
						for i in range(lowercase_						):
												UpperCAmelCase             = total_waiting_time + waiting_time[i]
												UpperCAmelCase             = 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""")
				snake_case_				     =       int(input())
				snake_case_				     =       [0] * no_of_processes
				snake_case_				     =       [0] * no_of_processes
				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))
								snake_case_     ,   snake_case_				     =       map(int, input().split())

				snake_case_				     =       calculate_waitingtime(arrival_time, burst_time, no_of_processes)

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

				calculate_average_times(waiting_time, turn_around_time, no_of_processes)

				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)









"""simple docstring"""







from __future__ import annotations

from numpy import array, cos, cross, floataa, radians, sin
from numpy.typing import NDArray


def      lowercase			(				A_  ,   A_  ,   A_ = False       )->      list[float]:
  '''simple docstring'''







  if radian_mode:
    return [magnitude * cos(A_       ), magnitude * sin(A_       )]
  return [magnitude * cos(radians(A_       )       ), magnitude * sin(radians(A_       )       )]


def      lowercase			(				A_  ,   A_  ,   A_ = 10**-1       )->      bool:
  '''simple docstring'''







  a						:		NDArray[floataa]      							=			cross(A_  ,   A_       )
  a						:		float      							=			sum(A_       )
  return abs(A_       ) < eps


if __name__ == "__main__":
 # Test to check if it works
 __lowercase    					=      array(
     [
         polar_force(7_18.4, 180 - 30),
         polar_force(8_79.54, 45),
         polar_force(100, -90),
     ]
 )

 __lowercase    					=      array([[0, 0], [0, 0], [0, 0]])

 assert in_static_equilibrium(forces, location)

 # Problem 1 in image_data/2D_problems.jpg
 __lowercase    					=      array(
     [
         polar_force(30 * 9.81, 15),
         polar_force(215, 180 - 45),
         polar_force(264, 90 - 30),
     ]
 )

 __lowercase    					=      array([[0, 0], [0, 0], [0, 0]])

 assert in_static_equilibrium(forces, location)

 # Problem in image_data/2D_problems_1.jpg
 __lowercase    					=      array([[0, -2000], [0, -1200], [0, 15600], [0, -12400]])

 __lowercase    					=      array([[0, 0], [6, 0], [10, 0], [12, 0]])

 assert in_static_equilibrium(forces, location)

 import doctest

 doctest.testmod()






