




"""simple docstring"""

from __future__ import annotations

from statistics import mean




def     _A					( __lowercase							,     __lowercase							,     __lowercase    ):





       """simple docstring"""



       lowerCamelCase__          =						[0] * no_of_processes
       lowerCamelCase__          =						[0] * no_of_processes

       # Initialize remaining_time to waiting_time.

       for i in range(__lowercase    ):
              lowerCamelCase__          =						burst_time[i]
       lowerCamelCase__          =						[]

       lowerCamelCase__          =						0
       lowerCamelCase__          =						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:
              lowerCamelCase__          =						[]
              lowerCamelCase__          =						-1

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

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

       return waiting_time




def     _A					( __lowercase							,     __lowercase							,     __lowercase    ):





       """simple docstring"""



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


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

  __magic_name__				     =     4
  __magic_name__				     =     [2, 5, 3, 7]
  __magic_name__				     =     [0, 0, 0, 0]
  __magic_name__				     =     calculate_waitingtime(arrival_time, burst_time, no_of_processes)
  __magic_name__				     =     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'''





import numpy as np
from cva import destroyAllWindows, imread, imshow, waitKey





class 		__SCREAMING_SNAKE_CASE							:







				def __init__(       self     :		Union[str, Any]		,					UpperCAmelCase__     :		Union[str, Any]		,					UpperCAmelCase__     :		int		,					UpperCAmelCase__     :		int   ):
										'''simple docstring'''
										if dst_width < 0 or dst_height < 0:
																raise ValueError('''Destination width/height should be > 0'''   )

										lowercase :							Union[str, Any]    		=img
										lowercase :							Union[str, Any]    		=img.shape[1]
										lowercase :							str    		=img.shape[0]
										lowercase :							Union[str, Any]    		=dst_width
										lowercase :							str    		=dst_height

										lowercase :							str    		=self.src_w / self.dst_w
										lowercase :							Optional[Any]    		=self.src_h / self.dst_h

										lowercase :							int    		=(
										    np.ones((self.dst_h, self.dst_w, 3)		,					np.uinta   ) * 255
										)







				def  lowerCamelCase_	(       self     :		List[Any]   ):
										'''simple docstring'''
										for i in range(self.dst_h   ):
																for j in range(self.dst_w   ):
																						lowercase :							List[Any]    		=self.img[self.get_y(UpperCAmelCase__   )][self.get_x(UpperCAmelCase__   )]







				def  lowerCamelCase_	(       self     :		Tuple		,					UpperCAmelCase__     :		int   ):
										'''simple docstring'''
										return int(self.ratio_x * x   )







				def  lowerCamelCase_	(       self     :		List[Any]		,					UpperCAmelCase__     :		int   ):
										'''simple docstring'''
										return int(self.ratio_y * y   )


if __name__ == "__main__":
							UpperCamelCase_						,   UpperCamelCase_    						=       800, 600
							UpperCamelCase_    						=       imread("""image_data/lena.jpg""", 1)
							UpperCamelCase_    						=       NearestNeighbour(im, dst_w, dst_h)
							n.process()

							imshow(
							    f'''Image resized from: {im.shape[1]}x{im.shape[0]} to {dst_w}x{dst_h}''', n.output
							)
							waitKey(0)
							destroyAllWindows()





